Industrial Talk is talking to Tony Paine, Co-Founder/CEO at HighByte about “Data insights solutions for your operational technology stack”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

TONY PAINE'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/tonypaine/

Company LinkedIn: https://www.linkedin.com/company/highbyte/

Company Website: https://www.highbyte.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Arduino: https://www.arduino.cc/

Fictiv: https://www.fictiv.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Tony Paine with HighByte appeared first on Industrial Talk.

Industrial Talk is talking to Jay Limburn, Chief Product Officer at Ataccama about “Unleashing the power of data for operational excellence”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2025. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

JAY LIMBURN'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/jaylimburn/

Company LinkedIn: https://www.linkedin.com/company/ataccama/

Company Website: https://www.ataccama.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Arduino: https://www.arduino.cc/

Fictiv: https://www.fictiv.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Jay Limburn with Ataccama appeared first on Industrial Talk.

Industrial Talk is talking to Paula Courtney, President and CEO of The Verde Group about “Eliminating Strategic Blind Spots“.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2025. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

PAULA COURTNEY'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/paula-courtney-3b23861/

Company LinkedIn: https://www.linkedin.com/company/verde-group/posts/?feedView=all

Company Website: https://verdegroup.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Arduino: https://www.arduino.cc/

Fictiv: https://www.fictiv.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Paula Courtney with The Verde Group appeared first on Industrial Talk.

Industrial Talk is onsite at Hexagon LIVE and talking to Dilraj Kahai and Eric Shufelt with 21Tech about “Data is gold and key to success”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2025. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

DILRAJ KAHAI'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/dilraj-kahai-1082333/

Company LinkedIn: https://www.linkedin.com/company/21tech/

Company Website: https://21tech.com/

ERIC SHUFELT'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/eric-shufelt-258b185/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Arduino: https://www.arduino.cc/

Fictiv: https://www.fictiv.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Dilraj Kahai and Eric Shufelt with 21Tech appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Paul Oberly and Tangi Meyer with Dassault Systemes about “Virtual Twin and digitization of processes!”

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

PAUL OBERLE'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/poberle/

Company LinkedIn: https://www.linkedin.com/company/dassaultsystemes/

Company Website: https://www.3ds.com/

TANGI MEYER'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/tangimeyer/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Paul Oberly and Tangi Meyer with Dassault Systems appeared first on Industrial Talk.

Industrial Talk is onsite at IoT Solutions World Congress and talking to Tom Mack and Darin Briskman with Imply about “Your IoT strategy begins and ends with data and ability to access the insights“.

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

TOM MACK'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/tommack1/

Company LinkedIn: https://www.linkedin.com/company/imply/

Company Website: https://imply.io/

DARIN BRISKMAN'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/briskmad/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Arduino: https://www.arduino.cc/

Fictiv: https://www.fictiv.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Tom Mack and Darin Briskman with Imply appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Carlos Toro and Claudio Soarzo Cataldo with NTT Data  about “Data and Analytics solutions that drive insights and operational success.”

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

CARLOS TORO'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/claudio-soarzo/

Company LinkedIn: https://www.linkedin.com/company/ntt-data-europe-latam/

Company Website: https://www.nttdata.com/global/en/

CLAUDIO SOARZO CATALDO'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/claudio-soarzo/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Claudio Cataldo and Carlos Toro with NTT Data appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Justin Wilson and Erik Hendriks  about “Data Distribution Service (DDS) the middleware that enables the free flow of data”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

ERIK HENDRIKS' CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/erik-hendriks-7b1a96b/

Company LinkedIn: https://www.linkedin.com/company/zettascaletech/

Company Website: https://www.zettascale.tech/

JUSTIN WILSON'S CONTACT INFORMATION:

Company Website: https://opendds.org/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Justin Wilson and Erik Hendriks appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Gerardo Pardo-Castellote, CTO of Real-Time Innovations (RTI) about “Data Distribution Services (DDS) – Ensuring systems can communicate”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

GERARDO PARDO-CASTELLOTE'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/gerardo-pardo-castellote-28a5234/

Company LinkedIn: https://www.linkedin.com/company/rti/

Company Website: https://www.rti.com/en/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Gerardo Pardo-Castellote with RTI appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Richard Robinson, Chief Strategist and Author with Bloomberg LP about “Open Data and Standards Development for All”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

RICHARD ROBINSON'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/rcr203/

Company LinkedIn: https://www.linkedin.com/company/bloomberg/

Company Website: https://www.bloomberg.com/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post Richard Robinson with Bloomberg appeared first on Industrial Talk.

Industrial Talk is onsite at OMG, Q1 Meeting and talking to David McKee, DTC Ambassador with Digital Twin Consortium about “Data – Your digital journey must start with trustworthy data”.

If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation.

Finally, get your exclusive free access to the Industrial Academy and a series on “Marketing Process Course” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

DAVID MCKEE'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/dwmckee/

Company LinkedIn: https://www.linkedin.com/company/digital-twin-consortium/

Company Website: https://www.digitaltwinconsortium.org/

PODCAST VIDEO:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hexagon: https://hexagon.com/

Siemens: https://www.siemens.com/global/en.html

Palo Alto Networks: https://www.paloaltonetworks.com/ot-security-tco

Palo Alto Networks Report HERE.

Hitachi Digital Services: https://hitachids.com/

CAP Logistics:  https://www.caplogistics.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

The post David McKee with Digital Twin Consortium appeared first on Industrial Talk.

Industrial Talk is onsite at the OMG Quarterly Standards Meeting and chatting with Bassam Zarkout, Executive Vice President with IGnPower about “Digital Transformation – trustworthy standards and strategies for implementation success”. The following are some key digital transformation takeaways for our conversation:

• Digital transformation is a process of using digital technologies to change the way an organization operates.
• It is a journey that may take time and effort, but it is essential for organizations that want to remain competitive in the digital age.
• There are three phases of digital transformation: digitization, digitalization, and digital transformation.
• Digitization is the process of converting analog information into digital form.
• Digitalization is the use of digital technologies to improve business processes.
• Digital transformation is the use of digital technologies to create new business models and value propositions.
• Organizations need to start by assessing their current state of digital maturity and defining their goals for digital transformation.
• They also need to develop a clear roadmap for implementation and measure the success of their initiatives.
• Digital transformation is not without challenges, but the benefits can be significant.

Here are some additional points that were made in the conversation:

• The term “digital transformation” is often used loosely, but it is important to understand the three distinct phases of the process.
• Many organizations are still in the early stages of digital transformation, but the pace of change is accelerating.
• Organizations that do not embrace digital transformation risk being left behind by their competitors.
• Digital transformation can help organizations improve their efficiency, productivity, and customer service.
• It can also help them create new products and services and enter new markets.
• The benefits of digital transformation can be significant, but it is important to carefully plan and execute the process.

Additional Information: 

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

BASSAM ZARKOUT'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/bassam-zarkout-5081974/

Company LinkedIn: https://www.linkedin.com/company/ignpower-inc./

Company Website: https://www.ignpower.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Fictiv: https://www.fictiv.com/

Hexagon:  https://hexagon.com/solutions/enterprise-asset-management

Arduino Pro:  https://www.arduino.cc/pro/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

CAP Logistics: https://www.caplogistics.com/

Armis: https://www.armis.com/

Saviant Consulting: https://www.saviantconsulting.com/

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

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On Industrial Talk we're onsite at FABTECH in Atlanta, GA and speaking with Matteo Dariol, Business Development and Sales Manager at Grow Platform (A Bosch Company) about “Data analytics and the positive impact its having in welding”. Get the answers to your “welding” questions along with Matteo's incredible insight on the “How” on this Industrial Talk interview!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

MATTEO DARIOL'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/matteodariol/

Company LinkedIn: https://www.linkedin.com/company/grow-platform-gmbh/

Company Website: https://www.growplatform.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

AI Dash: https://www.aidash.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

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Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

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The post Matteo Dariol with Grow Platform appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at FABTECH in Atlanta, GA and talking to Mike Brattain, Account Executive with Systems X about “Manufacturers must secure their business to succeed”. Get the answers to your “Cyber” questions along with Mike's unique insight on the “How” on this Industrial Talk interview!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

MIKE BRATTAIN'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/mikecharlesbrattain/

Company LinkedIn: https://www.linkedin.com/company/systemsx/

Company Website: https://www.systems-x.com/en-us/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

business, conversation, companies, cybersecurity, industrial, cyber, manufacturers, Systems X, secure, mike, absolutely, security, find, people, industry, attack, digital transformation journey, put, manage, data

00:00

Industrial Talk is brought to you by Armis. Yes, you were in the digital transformation game. Yes, you need to find trusted companies, trusted individuals to help you along with that journey. The Armis platform delivers complete asset intelligence, you know what that means? insights into your connected assets, you're in the digital transformation game, you have to have that insights into what is connected. Go to Armis.com Find out more, you will not be disappointed. Industrial Talk is brought to you by Arduino the original all in one IoT platform. That's right, go out to arduino.cc and you will find documentation you will find devices powerful boards to help you with your digital transformation journey. It's all there. Go out to arduino.cc Find out more see how you can connect with these professionals to help you along with your digital transformation journey arduino.cc.

01:07

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge Industry Focus innovations and trends while highlighting the men and women who keep the world moving. So put on your hardhat grab your work boots, and let's go

01:25

Alright, what's good, thank you very much for joining industrial talk we are broadcasting here at FABTECH. Atlanta, Georgia, it is day three, and has been a man I'm telling it's been a barnburner of companies that have just innovated the heck out of their solutions and providing solutions to your problems. More importantly. And once again, we're just having a ball. So you got to put this one on your calendar big time you got to put this this event if you're not here this year, go next year, you will not be disappointed. You're going to be bigger and better. Most definitely. All right. We got a gentleman by the name of Mike, say your last name.

02:02

It's Brattain

02:04

Systems X. With the s on that Systems X. Let's get cracking. cybersecurity, right. Absolutely. And that's something you know, it's sort of an odd thing. One, that your job never gets old?

02:23

No, no, it's becoming more and more important. You know, we are managed security service provider just north of Detroit. And look, I'm amongst my people right now. These are these are manufacturers that are looking to take technology and gain a competitive edge with it. And so 60% of our our business base is manufacturing. So So these are my people hear

02:50

Yeah. And there's three huge conference halls of your people. Oh, yeah, here. It's massive. And it's everything's here. Yeah, everything. Yeah, let me ask you this, a lot of buzzy buzz out there. And I agree with it. 100%. But but one of the areas that everybody talks about, of course, I need to have that ability to connect my assets, I need to I have to have to start pulling that data, I have to start looking at that data, I've got to figure out how to make tactical decisions based off of the data of my assets. That's wrong. But every time they connect, it's an IoT device. The conversation rarely happens around cyber now. And if you want to be competitive, you've got to have that cyber conversation at the beginning. Is that true?

03:37

Absolutely. You know, we tell our customers, we are a cyber first company. And the reason is, Why manage your data. If you're not going to protect your data. This is no longer an option. It is a cost of doing business, you know, as as a leadership of your manufacturing company, your most valuable asset is your ability to do business. And the stats are out there. And these aren't scare tactics, but oh no, the downtime of a manufacturer is roughly $5,600 a minute. The average ransomware that the manufacturing industry.

04:15

I'm gonna stop you right there. Yeah. $5,600 a minute. Yeah, that's sort of average. That's sort of a big smile. It doesn't matter average. $5,600 a minute. Yeah, continue. I interrupted because I I'll just zone in on number. Yeah,

04:30

no, that's right. It's not feelings. It's it's facts. data, right. thing, but, but yeah, and then, you know, your average ransomware in the manufacturing industries got up to $2 million. Gosh, you know, and so, once you learn that ability, it will lose that ability to earn then then you lose your business. Yeah, I

04:53

this just popped into my head ever so fleeting. Are there insurance companies that are saying, Hey, I know ransom Where attacks are out there. They just don't just whether you like it or not, whether you hear my voice, they are out there. But to be able to sort of wrap it in an insurance policy, can they do that?

05:10

Yeah. So you're touching on a a crazy subject, it is the Wild West when it comes to cyber insurance right now. So companies looked at that as an opportunity, right? So when cyber-attacks really started to skyrocket, they were like, oh, an insurance companies never lose. Right. So now they're sitting there going, well, we're gonna have to start backtracking, what our coverages and start putting different things in our policy that we're not going to cover, like, let's say, a attack from a foreign country, you know, well, most of your cyber-attacks are from foreign men, and they are here. Yeah. So yeah, in the tough part is now most companies most most manufacturers, don't have the required cybersecurity measures in place to even qualify for proper cyber insurance. And so that is, it's a, it's a difficult situation right now.

06:03

But what I think you can mitigate it, if you connect with organizations like yours, and be able to have that conversation of fraud. Yep. And be able to know that, hey, here's where I want to go. How do we make sure that my data is secure, my business is secure, so that we can continue to do what we do best by that service? So, again, it's a cotton, it's a conversation, but if you find people not wanting to have that conversation?

06:32

Absolutely. And it's because they don't understand it, right? Some companies, a lot of times they hear look, we're too small, no, no. Right. And I always do the comparison of, you're looking at two houses and one doors locked and one door is not, I'm the bad guy, I'm going in the unlocked door, at least have some sort of security in place, because there's so much low hanging fruit there. But you know, being able to prove that you're secure, that's why I think a lot of the sea levels avoid that conversation. Because usually they have that IT person talking a different language, that doesn't make sense to transmit, you know, and so, yeah, that's, that's the conversation have more of a strategy behind behind the cybersecurity,

07:18

I find, it doesn't have to be, there's the buzz that says, hey, you're gonna lock me down, and I'm not going to be able to do anything, I'm not going to be able to do my business, you're gonna lock me down so tight, I won't be able to do anything. And that's, that's one faults, don't go down that road. But two, if you can create some, some firewall, some sort of way of preventing, or making it difficult for the various behavior to say, they're lazy just like me, they're going to just try to find that simple penetration point, and just, you know, exploit that. So they're going to go on to something else, at least make it a little bit more difficult.

07:58

Yeah, absolutely. Some ways that you can improve your cyber posture, because let's face it firewall and all that that's, that's kind of a thing of the past. They're, they're blown by that like nothing, looking at managed detection and response, but really putting a foundation in place 30% of that 60% manufacturers we work with are in the Defense Supply Chain, they have to meet very stringent, stringent standards now called NIST and cmmc. So we would go in and build that foundation around NIST, it's a set of controls, that now gets the whole company from the top down on the same goal, and making sure that it's not just software, a very small portion of your cybersecurity is going to be software, it is that strategy from from the top down and it becomes part of the DNA of your company. And in no way like you said, should it lock your company down? It has to make common sense for the business.

08:52

And it's not static. It's an ongoing, continuous continuous it because if you think you're it, things change. Now, businesses change. If you're plopping this out there, you're doing whatever is necessary or you're trying to make your business more efficient. That has to be also in light of your cyber and your security strategy. Oh, that business? Yeah.

09:16

Yeah. And like I said, the way you manage your it is very important, because that is all the system updates and the different settings you have throughout your organization. That's a large part of your your cybersecurity Foundation. And from there, you start getting more technical on what are some things we can do to really make sure we lock these guys out. But I tell you what, as as you're looking to find that help for cybersecurity, and how do you tackle that, that giant beasts, the weight in gold for organizations like Systems X x is not. It's not, you know, getting, stopping the attack. It's when you get attacked, what happens after that? How quick can we take the little spark that little fire and hurry up and jump in, put that out, and then put the incident response plan in place. You know, when I talked to when I talked to CEOs, they say, Well, how do I even know if I'm secure? Well, most of them are getting the reports and things they understand. But I just say, hey, ask your IT support, whoever that is to hand you have an incident response plan. And if they can't hand you one in 10 minutes, you have a major problem.

10:25

That sounds Yeah, so let's let's sort of do a little roleplay. Here. I'm a I'm a small manufacturer, let's keep it small. How would you approach my business? Just generally speaking, that hey, get on in here, check it out. Please tell me tell me what we need to do.

10:43

Yeah. Having a business conversation, talking maybe less about the IT and more about what are the goals for the organization? What are some things they're trying to do moving forward? We're always taking that business strategy approach. I'll let you in on a little secret. I knew nothing about it. Three years ago, I came to Systems X X and said, Hey, look, I know, I know, business. I know, C level, I understand how their minds work. Why don't you teach me a little bit about it. So we can start making that connection? Because they're just sick of hearing it jargon constantly brought to them. Yeah, but really that question of how do you manage it? Do I have an IT department come in very expensive? Do I outsource all of it, we're finding right now. Get yourself that mid-level IT person, you know, and then outsource the heavy lifting, outsource the 24/7 monitoring the cybersecurity all the things that it's hard for that one person to do. But it's important to have that one person in your organization being able to take all the quick light work that needs to happen. And companies would should help that IT person grow within the company and understand how to also, you know, work as a team to make sure they're secure.

11:59

Do you? Do you have the conversation with the it? Yeah, where it's saying, Hey, don't be so it ash? You be a little bit more human and less cyborg? Like,

12:11

it's not in their DNA? You know, it's not, it's not what they want to do. But look, that's a fun conversation when I have the person and the CEO there. And they look at each other like, Oh, hey, yeah, you.

12:25

And then it's all acronyms on both sides. Don't get me wrong. It's on both sides.

12:29

Well, when I asked the question of, Hey, how is it supporting sales today? And they look at me like what? And so those are the types of questions we got to start having? How do we gain that competitive edge for you, you know, I talked to companies all time, especially your sea level, and I say, Look, you put your bid in and another company puts their bid, and I would be touting my cybersecurity posture from the mountaintop. And the reason is, it's going to shadow and put doubt on the company you're going against. Because look, whether it's DoD or its commercial, this is coming companies are asking for your cybersecurity possible policy, they're looking for your system security plan, they want to know that. So

13:09

before they do business, I had a conversation with somebody else on this, and they do island hopping. So if you have vendors, and they're connected to your system, because they want connectivity, if I'ma if I want my vendors to be able to transmit information, I gotta have them connected. So what happens is that they Island hop these these nefarious characters, and they'll try to penetrate the bigger company through those. And again, to your point, you're gonna have to have that conversation, I want you to be secure, right? Well, that's exactly

13:39

what's happening in the defensive supply chain. There is it's no coincidence that our F 35. There's the same f 35 sitting in in China right now, what they do is they grab that small mom car manufacturer that made just make a tiny part. And they ride that all the way to the top. And that's why now the primes are looking down saying, Look, no more. In order for us to give you a contract, you gotta meet these standards. And the government is not joking around anymore. I mean, these manufacturers have to get there. But then the next year.

14:11

It's reasonable. No, I mean, it just it and it's so funny. I struggle with companies talking about cyber, just companies like hey, what do you do? Well, we manufacture widgets. Tell me about your cyber Nope. Not going to talk about it. Yeah. And that conversation, it just, I understand the reality that you don't want to just, you know, air your dirty laundry and be able to do that. But I think at a minimum you need to have trusted individuals that you can have conversation and lock it down.

14:39

Yeah, even when you're attacked, even after your attack. Yeah, absolutely. I was. I was so happy to see here on stage. I don't know. I think it was the first day. The gentleman that THAT'S IT manager for Wilson tool. That that was an amazing story that they told and put their name out there to say Yeah, we were attacked. This is how we handled it. And I Yeah, I know I want. I was like, wow. But I tell you what, that's the important thing is you're telling the community what happened. It only secures all of us together.

15:11

See? And that's, we're getting there. You're getting there. I mean, I love this conversation. No, yeah. I know people get a hold on.

15:19

Yeah. So they can go to Systems X dash x.com They can actually reach me directly at 586-500-1001. And, look, I love having these conversations all day long. It's just a conversation

15:35

is Come on. Let's put our adult pants on. Yeah, let's have this conversation. Here you go. It's gonna be painless. Mike would greatly appreciate it. I like this. Thank you. A better person because of you. There you go. All right. Once again, we're broadcasting from FABTECH here in Atlanta, Georgia. Again, great people like Mike solving problems, and willing to have a conversation, we're gonna have all the contact information for Mike and his company out on industrial talk. Just go there and find his his conversation boom, connect, you will not be disappointed because he's gonna want to check with you. No obligation, right? No obligation

16:14

whatsoever.

16:16

When when all around? Absolutely. All right. All right, we're gonna be right back. So stay tuned.

16:22

You're listening to the industrial talk, Podcast Network.

16:27

All right, thank you, again, for joining industrial talk for your support, and your support, have an ever expanding industrial ecosystem of problem solvers. Like Mike, you're gonna go out to industrial talk, you're going to reach out to Mike Mike will definitely set you in the right direction. We need to be about protecting if you're in the digital transformation world, which you should be. And if you're saying this is what this is how we create a business that is resilient, which it does. And you need, you need Sherpas, you need professionals that you can trust, which is Mike, you need a security, you need a security, you need to do that. And you need to do it upfront. And it just, you just have to, yeah, there's no other way of getting around it. And because we want you to succeed, this platform is all about your success, and delivering the solutions and delivering the information and educating as much as we possibly can on how you industry can succeed. Now, again, reach out to me go out to industrial talk, you want to be on the podcast, yes, make it happen. You're going to be out in the bent, like conference or some other thing that you're going to be out and you're saying, Scott, I want to have you there. You just got to let me know. I would love to be able to read minds, but that's just not going to be the case. And I would be more than honored to be able to help you in your efforts to create that resilient industrial business. Alright. Industrial talk.com People will be brave. They are greatly hanging out with people like Mike, you're going to change the world. Thank you very much. We're gonna have another great conversation coming from FABTECH shortly so do not go away.

The post Mike Brattain with Systems X appeared first on Industrial Talk.

Industrial Talk is speaking with to Jon Thompson, Cofounder and CSO with Blue Margin about “Increasing Accountability, Efficiency, Productivity and Profitability through data visibility”. Get the answers to your “Data” questions along with Jon's  unique insight on the “How” on this Industrial Talk interview!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2023. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

JON THOMPSON'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/jon-thompson-37282432/

Company LinkedIn: https://www.linkedin.com/company/bluemargin/

Company Website: https://www.bluemargin.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM: https://www.neom.com/en-us

AI Dash: https://www.aidash.com/

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

data, dashboard, business, company, industrial, reporting, people, sales, systems, create, conversation, area, industry, metrics, private equity, outcome, insights, pull, margin, build

00:04

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go

00:22

around once again, thank you very much for joining industrial talk the number one industrial related podcast in the universe that is backed up by data that celebrates industry professionals all around the world, like you, I'm pointing at you, if you are out on the video, I'm pointing at you. Because you're bold, you're brave, you dare greatly. You're changing lives, and therefore you're changing the world. That's why we here at industrial talk our absolute cheerleaders for you, and we want you to succeed, and then we're going to do everything that we can to help industry succeed. Take that to the bag. All right in the hot seat, gentleman by the name of Jon Thompson. Blue Margin is the company he is a well, he's got a long title right here and it says senior partner, co founder and CSO of that organization Blue Margin, we're going to be talking about that data, that data that you have to begin to mine and be able to see it and be able to put it into a way that you can actually take action, gold in that data. So let's get cracking. Yeah, there is, I mean, come on, you know, I have conversations at all of these incredible conferences. And there's, there's, there's three things outside of all the other stuff, but there's three sort of themes that take place with a lot of this conversation is one, it's always a people thing, right? People? Where do I find people? How do I retain people, people, right people is it. The other area is of course, cyber, because I, I, I want to, you know, participate in this digital transformation journey. And the reality is, is that if you're doing that, you need to make sure that that you're properly protected. So cyber is a big conversation, and the other one outside of making it simple. Take that to the bank to make it simple. And that's why this particular conversation with Blue Margin is so important, because I think that it achieves that simplicity. But it's its data. Where do I get my data? How do I pull that data? What data is important? What's not important? How do I? How do I transform my business into a data centric organization that truly acts upon the information being delivered in my organization. That's where we're going. That's what you have to do. And and we need solutions to be able to do that. And and solutions that are easy. Yeah, I can turn it around. Alright, a couple of things that you need to put on your calendar, we've got some conferences coming up, we're going to be broadcasting live from the first one that we're going to be broadcasting from is the IoT solutions World Congress, it's in the end of January, it's going to be a great event. Of course, at that event, they talk about IoT, they talk about AI, they talk about data analytics, they talk about digital twin, virtual twin, you name it, it's it's being discussed there, and plenty of opportunities for you to educate. Because if you're in industry, this market is just just ticking along at a blistering pace. And you need to make sure that you stay current with your knowledge. And then of course, as I always say, find those companies, those individuals so that you can collaborate. That's important to trust it, trust it, so that you can innovate, because you need to, because we depend on you. And so it's a great time to be an industry and put that one down on the bank. Because it is all right. And we're going to have a lot going on at industrial talk. And you're saying you're so Scott, how do I how do I get involved with industrial talk? Well, you just go to industrial talk.com, you reach out to me. And if you have a story to tell, and you need to tell that story, and it benefits people, which it does, because you're an industry professional. Let me know, let's get you on the podcast. If you're going I'm going to have all the list of conferences and then some out there on industrial talk. So if you're going to be at one of those conferences, and you're saying Scott, I'm gonna do a live Yeah, let me know. I can't read your mind. But I certainly love your story. So you got to let me know you got to be forthright and upfront with that. All right. Here we go. Jon Thompson. Blue Margin is the company and the form that is filled out again, if you're going to be on this program, you're going to have to fill out this form because you need to make it simple for me to be able to look at and say, Oh, I get it. All right. Pretty cool. That's a great topic. I think the real component to this conversation that is really needed is the ability to be able to see that data from across, cross, let's say your legacy systems across your businesses, and be able to have those, that that information, boom, right there in a dashboard. Pretty cool stuff. All right. Enjoy the conversation with Jon. All right, Jon, welcome to industrial talk. How are you doing today? Doing great, Scott,

05:33

thanks for having me.

05:35

It's great. I'm pretty excited about this conversation, we're gonna be talking a little bit about insights into your business, looking at data, being able to sort of track that in a dashboard type setting, because you need a listener, that's you, I'm pointing at you, right? They're pointing at you. You need to make better decisions. And you need data, you need insights, you need that ability to be able to do that. And Jon, and Blue Margin, bring that to the table. Before we get into that conversation, Jon, for the listeners, give us a little background on you. Why you're such a great professional and a little bit about Blue Margin. And then we're going to talk a little bit about the solutions we're talking here.

06:14

Yeah, sure. So I went to school out east Colby College in Waterville, Maine, froze my butt off. But enjoyed that then went to the Peace Corps in Africa to counteract that weather was a game warden, which obviously led directly into business. When I came back, my brother and I had cell phone dealerships, and we ended up deciding to do a.com. Back when that was all the rage, we went out and raised some venture capital and built a business that analyzed telecom expenses for large enterprises back when that was a significant line item. And after about four years, we attracted the attention of a private equity backed backer, one equity partners, we became the platform company of a five business roll up, and suddenly had 500 employees, my brother was a CEO, I was doing biz dev. And we found that despite the fact that he is a Excel geek to the extreme, our instrumentation was lacking. And we found ourselves spending like, like, half our time managing the board, as we put it, and the rest of the time trying to figure out which way it was up. And that experience, and now this business, Blue Margin, where we've had 200 Plus clients, we have found that our basic hypothesis is that at the root of most, if not all business problems, is poor visibility somewhere, whether that's job ownership or alignment between business units, or accountability to the outcomes of the business, that kind of thing. And so that's what got us going.

07:50

But my legacy systems are super important. So you know, I'm not gonna let them go. I like that spreadsheet. Yeah, right. No spreadsheets, a lot of time and effort in that spreadsheet that creating those macros, and the tabs and all that stuff. They're done. For, for clarity sake, here, we've talked about private equity, PE, we've talked about venture capital briefly, for the listeners, give us a little differentiation between a venture capital in a private equity.

08:20

Yeah. So venture capital is just earlier in the growth phase of a company, sometimes pre revenue, sometimes pre profit. Private Equity tends to come in later, typically, in the mid market, maybe 50 million to a billion in revenue. And so they're looking to take an established business, often a non rationalized industry, if you will, or a niche, whether that's, you know, pet food supplies, or you name it in industrial this or that, where there's all kinds of entrepreneur owners out there, and no one has really turned it into the Toys R Us of their niche. And so they look to do that roll up, get those efficiencies of scale, increase the value of the company significantly, and then sell it again.

09:06

Thank you. Yeah, that makes complete and utter sense. I like that. All right. Let's talk a little bit about data. Let's talk a little bit about having that insight. You're absolutely correct. I think that many companies struggle with visibility. And then it might be visibility, but it's 45 days late. And then by that time that the problem is festered into full blown, full blown infection. And so take us through how you layer I've got all these legacy systems, right? I've got my ERP and then maybe I've got my asset management platform over here, and I've got this and the other and I got this spreadsheet and I got and I'm not I'm not shooting any of those platforms down. How do you layer and consolidate to create that vision? The API's take us through that.

09:57

Yeah, it's particularly relevant in in private equity where you often have a buy and build model where you're not just organically growing the business through new markets and better sales and higher productivity. But you're also adding new companies to fill out your offering and to consolidate for economies of scale. And so you've got these new business units coming on, they have their own ERP or their own homegrown whatever. And you're trying to integrate them just you know, gluing together companies doesn't get you the impact, you want to integrate them. And that can take some time, it's very disruptive, if you've ever deployed an ERP system I hated you may have FYI. Yeah, it can. It can take you to your knees for sure. So instead of saying, We're going to wait the 18 months till we get this integrated, you can integrate at the data layer and create a virtual single view of the business and get everyone focused on those consolidated numbers. And so we'll tap into those various systems with API's, as you said, various data connectors, pull that into a central database, and then connect that to whatever reporting you want. In our case, we're a Microsoft shop, gold partners and Microsoft's we have their high competency rating, we don't actually make any revenue from Microsoft, but we'd like to train. So we've been on it for quite some time. And then we produce reports that the connection to that central database sustains and is automatically updated as new data is entered into those transactional systems further downstream, or upstream. And on a daily basis, whoever the target is, the user gets an update of that dashboard via their email, or they can log into the Power BI system or wherever you want to place those dashboards so that they can see up to the day, here's what's happening, not dissimilar to a scoreboard at a sporting event where you have all the fans and coaches and, and players really glued to that that information. And it's not extraneous information, it is the critical info, they need to know what to do next to win the game. So that's what we

12:07

Yeah. And I hear what you're saying. And that's all good. But there's still, I think there's a lot of heavy lifting in defining and deciding which data is important. I might be, I might just be married to this data. But really, is that data important? How do you walk a client through? Now this is important, this is important. I know that you love this one. But that's not important. How do you walk us through that?

12:32

So the typical process, one of the main stumbling blocks that companies run into as they try to use their data and get better visibility, which is every company is they'll send out a analyst or report writer to talk to the various subject subject matter experts around the company and say what metrics matter to you. And they create a catalogue of that. And then they go back to the lab, and they build reports that display those metrics and say, Here you go. And that invariably, because we've tried it, ends in this, or results in this endless tail chasing where the the person that requested the report says, Oh, thanks. Not quite what I was thinking. And in fact, seeing these numbers up in lights has given me new insight, I need to now have these questions answered in context, and I forgot about that goes back, and you never get there. And adoption is is marginal, and the impact is anemic. So having learned that lesson more times than we'd like to admit, when a client says, Here's what we want to see for our sales funnel, or the gap in our projection in sales, or whatever the case is, we start out with the end goal. So we say what is it you're looking to impact for the outcome in your business? Is it? Is it total sales? Is it sales by customers, that customer lifetime value? Is a diversity of products and services that each customer buys? Is it making sure that your best customers are well taken care of? What is it and they will outline those? Here's the things that matter most for us to get where we're going in the next one to three years. And then we work backwards from that outcome. We'd like to say, what's the measurement of it now? Where does it need to be? And when do you think you can get it to that point by when? And then working backwards from there? What are the drivers that most influenced that outcome? And who do they map to? who's accountable for those drivers? Whether it's production efficiency, or salespeople, and their outreach activities, or you name it? And then we look at where's the data come from for that? And is that the most salient information? Is that the highest impact metric that will influence that outcome? Or is it a nice to have? Since we have the data, we'll put it in there. We get that a lot where customers say, well, that's just informational. And that sets off a red flag or says it shouldn't just be information and you don't see a baseball scoreboard with just informational stuff. It's the things you have to know to progress. And so we pressure test that quite a bit. And one more comment, we'll do a quick what we call a wireframe. It's a sketch or a storyboard. Here's the dashboard based on what we've gathered that you're trying to achieve by this time, here's the drivers that influence that. Let's go through it and ask the questions. If this was in the red, rather than the green, or if it's in the yellow, what does that spur as far as questions or decisions or actions? And what is that next piece of information you need? So you see that your sales are lagging? Your first question is I want to see sales by product category, and see where my problem areas are. And then I want to filter to those. And my very next question is, show me the sales teams and who's doing well with those and who isn't? Okay, let me focus on the isn't filter to those now, let me see a list of the salespeople and let me see their history of sales and how they're doing currently. And now I know who to talk to. So it's that pressure test testing and keeping that end goal as the primary driver of what we're designing.

15:58

But really, it's still you have to have these conversations of saying, Okay, this date is important. Everybody shakes her head. Yeah, that date is important. And that date is important, because of these reasons. Yep. Everybody shakes her heads are saying yeah, that's, that's correct. You still have to, let's say, look at that data. When is that data available? Is there a lag with that? Because you're trying to compress that time dramatically? If it's saying, yeah, the data is great. And it's 45 days old, that's not good. So you got to figure out how to get that data quicker. That's one. And then two, I would imagine you're trying to create some curves around the whole thing, too. You know, if I go this way, that's bad. And this way, it's good. But be able to have that, that those parameters all defined, and then get everybody to say, Yeah, that's right. Yeah. Am I looking at that correctly?

16:43

You are? Absolutely. And so half of that discovery, is the data digging into the database, just saying does the data support this. And oftentimes, it's about data entry compliance, people have been sloppy about it, because it hasn't been up in lights, and there hasn't been accountability to it. And so there's a sweet spot of going ahead and putting those things up in lights in the form of dashboards, that drives that compliance, because the sales manager looks and says, it looks like there's nothing in your funnel, Scott. And you say, No, I've got a lot going on one cn zero. And that's going to the CEO. And now Scott has suddenly inputting his opportunities and making sure they're up to date. So that can drive that compliance. Sometimes the data is not there, and you need to leave a hole in the dashboard until a new process is put in place. You don't want to, however, wait until your data is perfect to put up a dashboard, because you never will. Because data never is. So it's it's sort of a balance in there. And then the parameters, I think you're talking you're talking about KPI thresholds, when's it Red wins? Yeah,

17:48

you just gotta it has, you have to put some level of meaning on it. Yeah. And again, I being a simple guy, green is good. So why would green is good. And then, and then, of course, yellow and red, and you don't want to be red. So yeah,

18:03

we sometimes get tripped up there, because the client is unsure of what those thresholds are. And we have found that it's best to take a guess. You know, we're a bi company, and we never stop evolving our dashboards, it's, it's been a bit of a eye opening experience in our latest iteration that, hey, this never ends where our business is always evolving. We're finding what we think drives our outcomes best. This insight is okay, but we really don't do much with it, what is it we're actually trying to get to. So you use that wireframe to try and get close to the bull's eye. And then you put up a dashboard, you take some guesses at those thresholds. And then the user acceptance testing, and the ongoing use really drives the refinement of that. You don't want to start too far off the marker, you end up in that tail chasing iteration nightmare.

18:57

So let's let's talk a little bit about I call it or I term it a pencil whipping. So if I'm, if I'm just if all of a sudden, you're saying hey, this data, this information is gonna go up to the CEO, then all of a sudden, I'm walking on water, and I'm going to be able to put my data in there and I'm walking on water, and therefore, no bad news gets to the CEO, my, you know, my, what I do, and that dashboards looking doggone green. How do you how do you ensure that good data is getting in there? You know, and you're able to sort of say, Yeah, we're good, bad, whatever ugly?

19:33

Yeah, I mean, how do you make sure that people aren't fudging the numbers? Yeah. Sales that would probably mostly apply in sales. You know, it's tougher in machine productivity, that kind of thing. You need really good alignment with that leader, that sales leader and they need to know their team but one of the mistakes companies make is to create topical dashboards. This is our sales dashboard has all our sales data The problem with that is dashboards are not read by a department or a topic area, they're read by a human being. So the whole point of this exercise is to render data for a human to consume, to touch nerves to improve their decision making in their actions that they take for better outcomes. So we have found that you need to design the dashboards to fit the role. What is their narrative for walking through their day to understand how am I doing? Why am I doing that way? And what details do I need to take action? And when you get that in, in a nice narrative form that really maps to the roll, it makes it hard to hide? I would say,

20:40

Yeah, because that's key. Because, honestly, you want it to be as accurate as you possibly can make those tactical decisions based off of data that is clean and scrubbed. And whatever. A question I do have is, a lot of people are discussing the ability to simulate. So I see it here. But if I go out a couple of years, are these is this data trending in the right and being able to do that? And And are we looking at that too, as well?

21:12

You mean scenario planning, putting in different numbers for for variables and seeing what happens? Yeah, you can do that as well. There's nice tools that integrate with most mainstream BI platform, certainly Power BI, where you can set up forecasting and put in an assumption, see what it does the outcomes, play with that, get get consensus among leaders, and then go with with Plan A.

21:35

Yeah, and I don't see any other way to get around it, you kind of have all those tools in your, you know, quiver, and being able to pull them out and be able to have those insights is I think it's a non negotiable. One of the areas that has always been a challenge, especially with anything that's technology, anything that's innovative, and it is always that culture, that's it's a human equation. Do you guys work in in that areas, and hey, here we go, we're going to be coming in here. And we're going to, we're going to be able to expose and look at all this data, and we need your buy in. Yes, you get a look back on that,

22:12

you've hit one of the top stumbling blocks. So we found that there are very few companies that are really wired for data where every role in the company has their own instrumentation knows the bogey thereafter, it's aggregated to the team. And there's this this team accountability, there are just, you know, low single digit percentage point companies that have that done. And part of the reason is that buying in alignment, we have found that a good way to fix that is to start with a company scorecard, or an OKR dashboard, depending on what framework they'd like to work in. And that's something that you can stand up quickly to three weeks, where you highlight here are the top six to eight metrics that really define our business model and our success plan. If we are hitting these than we are doing, and we've covered 80 plus percent of everything we need to do stand that up early, that becomes the beacon on the hill, the North Star that says okay, here's where we're going with our data visibility. And that can be manually populated by someone half an hour a week, puts in that information. So you're not spending three, four months connecting to eight different systems, building a data warehouse, eventually getting to that vision, you get that alignment and buy in at the most influential layer of the company, the management layer. By standing that up quickly getting it centrally located, having an automated email pinging people once a week and say, here's the company scorecard. And that gels, it coalesces for them, Okay, those are the metrics, usually, there's refinements very easy to adjust that manual dashboard, so that they can zero and there's our plan. And here's the area that were suffering the most sales or throughput or order to cash or whatever the case is. And now you go into connecting the data sources and building a dashboard that feeds that quadrant of the company scorecard and maps to the person that owns that area of the business. And you begin to take off. You do make another interesting point, though, around the change management, the human side, it's it's another aspect of where companies stumble, is they say, Okay, we want to do more with our data that sounds like it, let's send it to them. And it certainly is integral to these projects. But if it takes it on as the lead, they're looking at as as a technical project, and what invariably happens is you end up with a data warehouse that takes several months to build the the idea being we're going to connect to all of our data sources, get them in one place, and then we can create any report you want. That runs into several problems. One is you get this arcane data warehouse that's built to whoever built it in their idiosyncrasies for modeling data somewhere in the basement and it There's two people that understand it. And that creates this ongoing technical debt when you want to write reports. And you've got this difficult convoluted data warehouse that wasn't driven by the business model or the reporting requirements, but was more an academic or a more of a technical exercise to collect all the data in one place. That makes a mess. And so what we found works much better is to say, what's the first area we can get the highest impact for the lightest lift. And let's build to that, let's connect to Salesforce. Let's build that funnel reporting and get that gap in our forecast. Let's put those out to the right folks. Let's get people starting to use it. This is after you've got that company scorecard these stand up quickly. And then once we've nailed that, let's add the next data source our HR system or accounting or whatever the case is, and integrate that. But let's pull in the tables from those systems that are most relevant to the reporting that we need in our business model and not create this behemoth that no one can navigate and has performance issues. And it's difficult to deal with. So that's another key to to getting to a good start and not getting bogged down.

26:09

A lot of questions. And when we start talking about quickly, there's a couple of things. I don't want to post it that can we do this incrementally? Because sometimes I'm a business owner, I have got all my other problems over here. And you're asking me to do this thing over here? Is there a way of being able to do it one incrementally?

26:29

Yeah, I think you have to, to be successful. If you do the waterfall approach. By the time you're done building this massive database that's going to feed all reports it is out of sync with the company and where it's going. Also, if you don't get wins early, and often you lose that momentum, the lights don't go on, oh my gosh, if we can do this, then here's where I would really want to get better visibility. You just it gets lost among all the other tech initiatives that sort of have marginal impact? Yeah. So you want to do it incrementally, you want to do it modularly. And that can be done in the modern data warehouse, not some big thing you build for 18 months, but in two weeks, you stand up that piece of the data warehouse, you get out.

27:14

My next question is that time, so I, I've got and I'm coming to you, I knock on your door, I've said hey, I'm either I'm in private equity, or I'm in a standalone manufacturer, I just need insights. And I want to be able to pull data. And I think this is important data. And you mentioned a couple of weeks to sort of stand that up.

27:36

Yeah, I would say two to six weeks, depending on the complexity. And the left, if it's an entire ERP system, and you're covering of a broader set of, of reporting areas, then it takes longer. But we will try to talk clients out of pasting together three scopes, because it's much better to take one standalone scope that delivers value. It's the last thing you ever do with business intelligence dashboards, it'll have long lasting benefits. So it's standalone. Why do that three times at once and learn your lessons times three, learn them once on that first project, then go into those other ones. And as you get rolling, and you really get a feel for the organization and the data, you can have multiple streams where you're covering inventory, and you're covering throughput, and you're covering other areas all at once.

28:27

Yeah, it just seems like that would be the way to go. And I like the incremental approach. I think that that's vital. I love the fact that, let's just say it on the outside, let's say six weeks to prop something up. And I think that the way I see the seed in my mind, because there are a lot of a lot of systems out there that deliver a sort of a dashboard type of approach. But what you see is that I've got this dashboard, and recognition that there are multiple systems and being able to pull all that data together, do the data analytics on it, this divided by this gives you this sort of whatever that might be. That's where the the power lies. That's you're not you don't have silo systems, you're able to sort of pull it all together in a meaningful way.

29:17

It's funny because the benefits of a BI system like Power BI or Tableau or Domo or you name it are pretty simple. It's about getting that playbook to a centralized spot that everyone access is equally, it's not in an Excel spreadsheet that floats around. It's not a point in time it's being updated hourly or daily, or whatever the case is. So it's not this, this snapshot. It's sort of this ongoing view. And it's interactive. So it allows you to look at the dashboard and say I'm going to click on this region. I want the whole dashboard to filter just to that region so I can see how they're doing and whatever metric we're after. Those simple things are absolute game changers. It's not It's not rocket science. And each of those systems has reporting. We have a CRM, we use HubSpot. We use HubSpot reporting a lot. We build reports in there for, you know, sort of isolated views within the sales team. But we also pull that into an aggregated view of the company and cross reference views into how our sales impacting productivity, and are they balanced and things like that. So there is a place in the Venn diagram between the reporting of a source system and your BI dashboards does overlap. There's some some art and some science into figuring out where you want to move from one to the other. But that central view is, is uniquely powerful that you can't get on any given system. Yeah. Yeah.

30:47

And also, you're an author. Tell us about your book.

30:51

Yeah, so the dashboard effect. If you read it, you'll note that at the beginning, we heavily reference Chuck Coonrod, who wrote a book called The game of work. And I recently interviewed him on our podcast, he's was called the grandfather of gamification by New York Times or someone. And he basically says that for people to be most effective in an organization, whether it's a line worker or an executive, they need to know first, are they winning in their role? And second, how do they win. And if they don't have that, as he says, when people don't know the rules in the score, they tend to not want to play or they play safe. So giving a man clarity makes all the difference in the world. And he came to that conclusion, when he was consulting with a company that was manufacturing manufactured houses, and saw this team out on the floor that was sluggishly nailing in nails, and then the break, alarm went off. And they whipped their shirts off and ran to the basketball hoop and had the most intense focused effort on this game that had a score and a timer and a winner and a loser. And then the buzzer went off again, and they drag themselves back to their work. So his premise is give people that same incentive, leverage human nature, because people want to do things better, faster, more successfully, naturally, where they probably shouldn't be in the organization, give them the scoreboard that allows them to do that. And so the dashboard effect is largely about that if you can take these numbers that you already have access to they're in a Excel spreadsheet or in a transactional system, but put them in a format and centrally located so that they take on life and they really touch nerves, and they have KPIs that draw conclusions, instead of just information that then you have to draw conclusions from. You get that same gamification, that same athletic spirit that desire to achieve into the work environment, we tend to leave it at the office door and assume that what applies on the playing field doesn't apply at work. And that's a mistake. That's the general premise.

33:04

Well, clearly, you have an eBook out there. I have a link to it.

33:09

And an audio you can hear me narrate the whole thing. It was my first shot at that.

33:14

How did that go? It was hard. Yeah. Okay. Go to say I'm not sure. Yeah, well, kudos, man. Yeah, thank you. You put yourself out there. I like we're gonna have a link out there at industrial talk. All right. How do people get a hold of you there?

33:32

So they can reach us at Blue? margin.com. They can reach me at Jon at Blue. margin.com JLN. I'm on LinkedIn. Yeah, all sorts

33:41

of way. All right, we're gonna have all the contact information for Jon. We're going to have all the information and Blue Margin. We're gonna also have this ebook. You can listen to Jon or you can actually read it. It's both both available out on industrial talk. We will have the back links ready to go. Nothing fancy. Jonny, we're great. Thank you, Scott. All right, listeners. Yeah, this was great. I am all alone. I like books and stuff. I don't know why. But I do. I feel like I can't learn enough. Hello. All right, listeners. We're gonna wrap it up on the other side. Please do not go away. We will be right back. You're

34:23

listening to the industrial talk Podcast Network.

34:28

All right, that conversation delivered to you buy industrial talk through Jon Thompson. Blue Margin is the company. We're gonna have all the contact information for Jon and Blue Margin out on industrial talk beer night, go out there, find his conversation. We're also going to have past podcasts. Apparently, he's been on some of the podcasts. We've got some blogs there. We've got some videos there. Look into them. They're all there on his profile that we create and industrial talk. We also have the link to his Book, the dashboard of fact, I've read it, you need to read it too. So go out, download it, do what you need to do, right there. All the links. Again, we're going to be broadcasting from conferences, if you're going to go out to industrial talk, look for conferences, if we're going to be there, you know, contact us and say, Hey, Scott, I want to do a lot. Yeah, I do a lot. We need to tell your story. We need to continue to tell industry story and you are the heroes in that story. So don't shy away. Industrial talk.com All right, be bold, be brave. dare greatly I say it all the time. Because you are and hanging out with people like Jon, and you're going to continue to change the world. We're going to have another great conversation you know, at industrial talk shortly, so never go away. And by the way, go subscribe. You got a lot of great conversations out there. So stay tuned, we will be right back.

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Industrial Talk is onsite at the OMG Quarterly Standards Meeting and chatting with Bassam Zarkout, Executive VP with IGnPower about “Solution to navigating massive data challenges to find business gold“. Tune in and hear more about the importance of data and Bassam's unique insights on this Industrial Talk.

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

data, bassam, digital transformation, organization, people, rolls royce, iot, industrial, sensors, engine, jet engine, business, world, collaborate, supply chain, industry, policy, conversation, debate, transforming

00:04

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go

00:22

Alright, welcome Bill to industrial talk a platform that is dedicated to industrial professionals all around the world like the one that's sitting right next to me, because he is bold. Yes. Brave. Yes, he dares greatly. He collaborates. He solves problems. He is a superhero in my mind about that. Thank you, sir. Great. Yeah, I'm still ready to go. And we're broadcasting here in Austin, Texas. Oh, geez, the organization. And again, they get people like Bassam here who really know what goes on and and they are truly passionate about solving. Many of the challenges businesses have today, putting it on paper making us to succeed. You're a hero. Bassam right there. Let's get cracking. Thank you. Yeah, look at you. This is good. This is good. You're my digital friend that I've never seen in person. You're right here in person. Yeah. All the way down from the Great Northwest. Yes. Yeah. It's good. You have a good conference. Yeah.

01:23

Yeah. It's it's good that I mean, it's good to come to these events and see what's what's the state of the art in terms of its

01:32

you know, it's not a comprehensive meeting. You guys meet?

01:35

Yeah. Yeah. Meet, discuss, brainstorm. Fight, debate debate.

01:40

God. I don't know how you guys. Do you go home. Just all worn out?

01:45

Yeah, yeah. But but by the end of the third day or fourth day, you just want

01:50

like, yeah, you're right. You're right. I don't even want to debate that point anymore. You're right. So for the listeners out there, Bassam give us a little background of who you are.

02:00

Yes. So my name is Bassam Zarkout. I'm the founder of a consulting practice called IGnPower. Focusing on digital transformation in IoT industry, digital twins, etc. I'm based in Ottawa, Canada, but I cover the North America as well

02:20

as cover more than that. Assam Yeah, everywhere, man. You're like the dude, the Oracle in digital transformation. You think through this stuff? Yeah, he's downplaying it, folks. Just FYI. You knows more. So you come here. And you recognize that you're, I mean, there's the buzzword. It's digital digital transformation. Everybody's saying and what you you actually go through the process? And you understand what that means?

02:49

Yeah. Well, digital transformation is not new, obviously, been doing digital transformation for several decades. What is new is that we're doing this now, around machines and physical assets. So we're transforming the physical world around us. And we're tying it to the digital world. And we're optimizing it and we're producing better things. And we are changing the value that we deliver to the marketplace through these machines.

03:19

Are we really doing that, let's say industry as a whole? Are we succeeding at that? Do you see a trend that is taking place and say, yep, we're getting it right now. Because there was a lot of people that weren't.

03:29

Yeah, I mean, obviously, this is a slow process. But you can see it around you Rolls Royce is selling propulsion as a service. And the foundation of that is digital transformation whereby the airline doesn't buy the jet engine, they buy propulsion as a service, when they use the engine, they pay for the usage of the engine. And Rolls Royce is responsible entirely for the maintenance upkeep and KPIs or the engine and so on. But General Electric is, is doing the same. So you can see you can see these things happening around you slowly, gradually, but surely, as well. Yeah. And

04:09

that case, case in point, I mean, Rolls Royce is pulling in data, they're, they're managing that asset in a big way. Yes. And we're very grateful for that.

04:19

Yes. And I was told that they are very frustrated, because they'd like and they can do a lot more. But they are limited by the number of sensors that can put inside the engine because of the heat hot conditions inside that engine. The materials to produce the sensors do not exist yet, because it's so hot inside the engine is it's a resource now. It's amazing. Somebody explained it to me, and it's fascinating. They would love to put the 10 times more sensors in the engine and produce so much better results but they can't simply because the material Bill does not exist to produce these sensors.

05:03

All right, there's a business opportunity for anybody out there, right there work with Rolls Royce, develop these sensors. And I guarantee I'll be asking for a loan. Yeah. All right, Bassam, you're here, you're having these conversations, you're debating these conversations around digital transformation. What are the challenges there?

05:21

Well, the challenges is that because you are transforming environments that cross the physical digital divide, you're now doing transformation. Imagine you're transforming, you're changing the jet engine while the plane is flying. So while the plane is flying with changing the jet engine, and that introduces all kinds of challenges, you can't stop operation, you can't. You can't stop complying with your obligations towards regulations, and so on and so forth. So you need to keep on taking care of all these things, while you're making these changes. And that is not simple.

06:01

Okay, I'm gonna have to wrap my head around now. Yeah. So you're saying, Okay, so here's, here's a plane. And we'll just keep on running. I'm using

06:08

that as an example. Nobody is going to change a jet engine

06:11

during flight. But I want to get the analogy there. Because I think that you're onto something here that it creates a a truly valuable word picture that, okay, you have this asset, it's critical. You can't stop it, you can't stop it. Yeah, thank goodness, and you're pulling in information and data off of that engine real time. And eventually, you're gonna you're gonna get information. So let's do some maintenance.

06:37

Yeah. So you know, what is the this is an analogy to a jet engine. But organizations are, are facing this. And there is another problem being created is that the volume of IoT data is going to be exploding. It's already exploding through the roof. And people keep telling us that data is the new oil data is the new oil. Well, that means data has value, what is the value of this IoT data? How do I preserve that value? How do I make sure I'm capturing the tangible and intangible value of that data? And so on, and so forth. So that's another challenge that organizations are facing as well.

07:19

It's a tsunami. It says, and maybe it was you, I don't know, it could have been you. But the amount of data that is just pulled off of a plane on a flight is massive, just on a flight.

07:34

Yes, the the, I saw a figure last last week, an organization called statistics, they, they estimate that the volume of IoT data in 2025 will be 79 zettabytes. And zettabyte is a million petabyte sheet. So massive amounts of data, some of it, you will not need to store it and maintain it, but some of it, you may need to keep it for a long time and manage it. And, and, and, and manage its lifecycle. Because it may be required for compliance, it may be required, because it has value, a future AI may be so much more powerful, you can extract the value from it and sell

08:21

it, see it, but you're bringing up a component. It's so we're still sort of at the beginning of this whole wonderful digital revolution, you know, as we continue on this journey, this train to success, and everybody's saying, yeah, there's, there's gold in that data. And so we're going to just continue to try to get more and more data. I mean, what is it mean? Is everybody going to be a server farm? Is this gonna mean everything? And we're where do we store it?

08:47

The problem is physical, the problem isn't only storing it, the problem is maintaining the context. For example, you have a pressure vessel, and there's a sensor that tells you the temperature is 100. Do you want to store 100? Or do you want to store it's 100 degrees from that sensor from that vessel at this time? So you need to store all kinds of information? And in case of accidents, the authorities will want to investigate? Did you do what you are supposed to do? How do you prove that you did what you were supposed to do? So this information has to be that has to be a strategy about IoT data, what you do with it, and this is not about the engineering team or the operational team, legal may be involved, compliance may be involved. Risk management, maybe all of these people may need to be involved and make some risk based decisions because you can never be perfect. And being perfect is extremely expensive.

09:46

So you're so you get this this, this data, it's just going to continue to grow if if I'm an organization that is committed to transforming digitalizing my business right? I'm going to want more money. just got one more. And there's gonna be a conversation around all that debt type of data like that we don't need that data. So let's get rid of that one. But we need this data and, and how humans can't make that. You can you can create parameters, whatever those that looks like, but I'm not sitting there going, good data, good data.

10:23

I mean, that question you ask is a conversation that can take several hours. But people have been dealing with that on the business side. So for the longest time, people have been dealing in corporations and large corporations have had specialized teams that look at the types of data they have. And they create policies about what you do with that data. Right, because they, they have teams who have analyzed the regulations, and they've analyzed the laws, and they've determined that in order to comply with the law, or, or in order to minimize the risk of noncompliance, speaking like a lawyer, now, you need to apply these policies, and they don't leave it up to the person in the field to make the final decision about what to do, that person in the field doesn't necessarily understand all the requirements. So all they have to do is comply with the law. So the same approach has to be taken for IoT data, because that information is at least as valuable as your business data produced by your back office systems. And, and, and that can be crucial in compliance situations in legal situations. Let me give you an example. You have to comply with data privacy, right. And you are required to delete certain data when you are no longer in need to keep them for data privacy purposes. Well, do you know where all the copies of these data are in your system? No, you do not. So how do you? How do you prove that you've deleted this data?

12:01

You tell me? Yeah. Because here's your profits. I have

12:04

heard of legal cases where you have a large law firms have technology practices that were days. And they have CTOs and technologists who are also lawyers. My brother in law is a lawyer, I can tell lawyer jokes. So lawyers who are technologists are the worst. They are not easy to deal with, but they fulfill a very important function. And these people sooner or later are going to be involved in major compliance and legal cases where IoT systems fail that somebody, God forbid, got hurt, and you need to be able to prove that you've done what you were supposed to do within reasonable efforts. When you had to do

12:55

the same, you're, it's like, Hey, I'm a manufacturer, hey, I got my manufacturer hat on. And I'm, I'm manufacturing these widgets, and you're coming to me and you saying, Hey, Scott, you need to digitalize this more, and whatever, it's like that, that'd be great. Pull the data off of there, pull the data off there, let's analyze it, and you're gonna make some great decisions. And you're gonna, you know, but I'm opening myself up for greater visibility and risk, and I better know what I'm doing, which then I've got another headache to deal with outside of manufacturing or finding my supply or whatever my fees?

13:30

Yes, yes. I was speaking with a gentleman yesterday that. Now in Europe, there will be a new law. Well, it's a law that exists, but it will be strengthened, whereby if you have a supply chain upstream and downstream, you are responsible for the behavior of your partners, and that supply chain is of EDI data. Oh, yes. Yes,

14:01

I'm never doing business again, I'm just going to stay that guy that

14:05

banks, banks have had to do that. For the longest time. If you go to the bank for the first time and you want to open your account, they will pull out a form and they asked you a lot of questions. And basically, they don't want you to be laundering money through your banking institutions, this is called KYC know your customer. So something similar is going to happen with in supply chains. In other words, if you have you operate a supply chain, you cannot accept anybody to become part of that ecosystem because you are responsible to make sure that they are compliant with their obligations. And I say doing

14:46

business all of a sudden with this conversation has gone through it well,

14:49

maybe initially, but eventually like, like, it settles down becomes part of doing business. It's part of the evolution because it was like that 20 years ago in banks.

15:03

Yeah, here you go. So what do we do? I mean, all of a sudden, you've, you've stated a fact, and it is a fact, don't get me wrong. Yeah, I know that data will continue to just continue to grow in and you got to do something with it. And you got to manage it, you got to know where it's at, you know, in when this archive, ID, whatever, you got things around that data. We're how we're still at the beginning of this.

15:30

Yeah, yeah. And the approach is to have a strategy about IoT data. And I'm not talking about the technical aspects of interoperability, all of that stuff is a given at this stage, you need to have a strategy about your IoT data in terms of what's the value? What do I need to keep? What do I get rid of? Where are all the copies? How long do I keep them, and so on, and so forth. Because like I was giving you yesterday, the example of I have a Fitbit. And it's been collecting data for the past five years about my running my walking, etc. And I look at my phone, I see all this historic, historical data, and it's fine. It's nice to look at, but it's technically useless at this stage. But I do not know, maybe a future AI will look at this data and give me some insight about my health, I don't know. So in the future, you may get more advanced analytics that if you point it to historical IoT data, it may give you a new a new insight that you could not get before. So all of these, you have to take them into concert. So

16:45

the moral of this conversation or this story is one, your organization you need to go down that you need to be in the digital game. It just, yeah, if you want to be competitive, you want to have value coming out of that business, even greater, whatever it is, wherever that you need to be in the game. Yeah, that's okay, too. I know that I need to trust somebody I need to figure out how to take and I need a Sherpa to help me along with that. Because I hear you I see it, but I need a Sherpa to help me along with it. And therefore organization, I need to collaborate with trusted Sherpas, right? Not just any Sherpa, a trusted Sherpa to be able to take me on that journey to make sure that I do it, right. And then of course, I need organizations like OMG. And I see all of these organizations that are built on smart people gathering together and collaborating and debating these, these very difficult.

17:43

Yeah, so I look at it. And in a sense, like, like a small commercial, I mean, this is what we do at IGnPower, which is promote ourselves as these Sherpas for organizations. Yeah, help them divide. devise these data strategies for corporations. And again, the problem gets more complex when you're doing digital transformation, because you're making changes and retrofitting, and making changes to the process making changes to your organization. And you want to make sure that things do not fall apart as you don't.

18:17

I'm just, I have this is it, I need to find somebody I trust, I need to know where to start. I don't even know where to start. Because I'm too busy doing all of this stuff over here with my business that's been in business for 20 years or whatever. And I do it this way. Yeah. And I'm dealing with my supply chain issues or whatever it might be. It's vital.

18:36

Yes, the the the silver lining in all of this is you is the head curled is that the regulating bodies. And again, this is not legal advice, but the regulating bodies and the legal bodies and so on, do not want to run organizations out of business, right? They want to make sure that people are doing the reasonable thing. And, and that what is reasonable will keep on evolving. So what was very difficult to do a year ago will become very easy to do next year because of new technologies, new solutions, new thinking, and so on and so forth.

19:16

We haven't even touched upon that. There's a velocity and things change. Yes, yes, tomorrow is going to change.

19:21

But they want to see that. You've analyzed what your requirements are, that you've attempted to write a policy, that you've published the policy and had it approved at the highest level board of directors sometimes that you've informed your stakeholders about the policy and that you have consistently enforced these policies.

19:49

I'm glad you're in it. That's just me.

19:53

Yeah. And again, we've been doing this on the business side for business information. This has been the norm for the past 15 years.

20:03

Yeah. I mean, I am I'm so glad that people are like, like you are, are helping sort of that trail I really am. And how do people get a hold of you there?

20:15

Well, IGnPower.com website. And there's a lot of information on that website and just send us an email and we'll get back to

20:25

you as a user you get you're out there on LinkedIn to read. I am on LinkedIn as well. Okay, we're gonna have his stack card out there to LinkedIn stack card on industrial talk. So you got to reach out to Bassam you will not yes, you can tell until he knows what he's talking about. He's he is the right Sherpa to connect with. You can use that by the way, you can throw that on your way out. But yeah, that's good. All right. All right, listeners. We're gonna wrap it up inside. Stay tuned. We'll be right.

20:51

Bye. Bye. Bye, everyone. You're listening to the industrial talk Podcast Network.

20:59

Again, thank you very much for joining in dust Real Talk in Absolutely. Thank you for your support. It is a platform that is completely and solely dedicated to you industrial professionals. We are here to collaborate. We are here to innovate. We are here to educate, get engaged, go out to industrial talk.com. And absolutely. Thank you, Bassam for saying yes, being on the podcast, and having the opportunity to talk to you at the OMG quarterly meeting. It was great. And I want to just just reiterate the necessity to get your handle on data. There's gold there, it it can be overwhelming. But then there are people like Bassam and others that can help you with that journey in a jet a second, and be able to navigate and direct your attention to where it needs to happen. That's Bassam I'll have all his contact information out there. You know, that go the industrial talk, you'll find is his LinkedIn connection, reach out, and and have a conversation because we are about that education, he can do it. Well, that collaboration. Bassam is right on the money. And of course, innovation, there are so many options out there for you to consider in the world of data, data analytics, and so on and so forth. Reach out. All right, we're gonna be broadcasting, I think, coming up at the IoT solutions World Congress. And if you're going to be there, that's in Barcelona. We're going to have a spot broadcast. Tell your story. Make it happen, Captain. All right. Be bold, be brave, daring greatly. As I always say hang out with people like Bassam and you're gonna change the world because you do. Industry changes the world. Thank you again for joining. And we're gonna have another great conversation shortly coming from that OMG quarterly meeting.

The post Bassam Zarkout with IGnPower appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Michel Morvan, Executive Chairman and Co-Founder of Cosmo Tech about “Digital Twin Simulations to Optimize Operational Efficiency”. Get the answers to your “Simulation” questions along with Daniel's unique insight on the “How” on this Industrial Talk interview!

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

simulation, twin, industrial, Michel, industry, data, digital, cosmo, world, asset, simulate, future, people, iot, talk, complexity, ai, happening, conversation, decision

00:00

Industrial Talk is brought to you by Arduino the original all in one IoT platform. That's right, go out to arduino.cc. And you will find documentation you will find devices, powerful boards to help you with your digital transformation journey. It's all there, go out to arduino.cc. Find out more see how you can connect with these professionals to help you along with your digital transformation journey. arduino.cc. Also Industry IoT Consortium. At industrial talk, we always talk about education, we always talk about collaboration, we are always talking about innovation. And if you're a business that has any desire to be resilient to the future, you need to be able to educate, collaborate, as well as innovate with other industry professionals. That's a must. Industry IoT Consortium brings that all together, you need to be a part of this community, you need to be connected with these leaders that are all apart the Industry IoT Consortium, go out to iiconsortium.org. Find out more again, you will not be disappointed, you're just going to be happy.

01:18

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go

01:36

Alright, once again, thank you very much for joining industrial talk on ever expanding platform ecosystem that is solely dedicated to celebrating you industrial professionals all around the world. You know why? Because you're cool. I have more to that. But you're just you're doing things. You're solving problems. You're making the world a better place. You're collaborating, you're doing everything that you can to make this world a better place. This is for you this platform. Definitely. All right. We still have great content coming from this year's IoT solutions World Congress and in the hot seat as Michel, more bad. And you know what we're talking about? digital twin simulation solutions. Let's get cracking. Yeah, it never ends. The innovation never ends. And Michel just knocks it out of the park. He is the co founder of Cosmo Tech. About that. That's a cool name, right? Anyway, we were in Barcelona once again, and had these great conversation, Michel. And you know what's interesting, what struck me is just really sort of an aha, it might not you but for me, because I'm sort of simple when it comes to this stuff. I love this. I love the topic around simulation. I love the fact that if you have the ability to be able to use AI, analytics, pull it all together, run simulations, create greater confidence in whatever that outcome is. I think it's just great. And I think everybody is definitely on that bandwagon. So that's cool. Michel, where he's gonna be talking about that. All right. Get out your calendars. Okay, I'm looking at this. I'm looking at IoT Solutions World Congress. It is January 31. To February 2, 2023, right around the corner, right? If I'm looking off in the desert, if you see me on the video, I'm looking off to the distance not that far away. And I go on the website there. IoT solutions world congress.com. And it says game changing Technologies. Yes. From industry trends. For industry transformation. Absolutely. Industry IoT. Yeah. Artificial Intelligence. Yeah. digital twins. Yeah, edge. Yes. Augmented reality, 5g cybersecurity. What else is there? I don't know. But there is some more stuff out there. You need to put this one on your calendar. And as you can tell, I'm a little raspy. I had a cold. Can you believe it? I had a cold. But I survived. And I'm on the backside of that cold. So sorry about the gravelly voice. But anyway, really? This this conversation with Michel at IoT solutions World Congress, really great. Cosmo Tech, simulation digital twin. It's all on the conversation today. So join it. Kevin a good conference. Michel.

04:37

Yes. Great. I'm digging it.

04:41

We're gonna go to a bar tonight. Just a bar. We're gonna go to a bar tonight. Of course. Why wouldn't we have a couple of gin and tonics? Yes. So it's a great, that's a great option. Sure. All right, for the listeners out there and talk to us a little bit about your background. Michel, and then we're gonna get into COSMOTE So what that's all about and then we're going to talk about what? What solutions are being provided.

05:04

Well, my background in in a nutshell, I used to be for many years now, in the past the university professor, I was a specialist of complex systems math, computer science. Hello,

05:15

are you a doctor? Doctor, I see have to see this card. If you're out there. This is the card he has right there. Right there. It's a sticky note. And there's no doctor. So you're a doctor good. I

05:29

used to be a processor. So you know, and, and so and then I developed, you know, Technology, my lab and I decided to bring it from academia to the real world. And that was what we call today's 360 degree simulation.

05:48

Cosmo Tech, you rattled off something that's an acronym, an acronym for something, what does it mean?

05:54

Sure. Oh, Cosmo means complex systems modeling. Say,

05:59

there it is. It's pretty good. Yeah. And you got the URL Cosmo Tech, because nobody had that. That's, that's a good one. So with that, give us a little sort of a definition of digital twin. And then let's get into the simulation component. If that's good, give us a what is a digital twin?

06:17

Sure. But digital digital twin is a digital replica of a system. Originally, it was a digital replica of physical objects. But now we are doing digital twins of systems of organizations. And by the way, that's why we use the word 360 degrees to say that we take, you know, and we present the systems, and we connect to the data in real time. And oh,

06:42

so, you know, everybody uses digital twin, I have a digital twin of my building, I have a digital twin of my substation, and so on and so forth. But what you're doing is you're sort of holistically looking at the whole, you know, whatever the business itself, it says,

06:59

exactly, we don't only look at the at the physical system, the physical parts, but also to all the interactions, the processes, the people who work with the system, what they do, and how they interact with the system.

07:15

So take us through what that looks like. I'm a company. I've got the I'm, I'm interested in digital twin, or I'm, I'm using a digital twin. Take us through that process.

07:27

Well assume that you have a supply chain to manage. And you know that there is a lot of uncertainty. And now more and more complexity in your supply chain. And you want to make that's

07:40

that's an understatement. And in fact, this pandemic, everybody's a supply chain expert.

07:45

Oh, that's right. And you have the problem is what you have to do with the supply chain, you have to reconcile things that seem to be completely impossible to reconcile. So you want to increase the profit, you want to be resilient, at the same time you want to reduce cost and reduce the co2 emissions. That's your problem, right? And all that changes all the time. So what do you need for being able to manage this and make the best possible decisions? You need to have three things? The first thing is what happened in the past? What can I learn from data from the past? The second thing is what is currently happening, you're looking at data from the present. But the most important thing you need is to have access to data from the future, what is going to happen? If I do this? What if what is going to happen if I do that, and what we do with digital twin, we create the replica, we link it to you know the data, and we have the ability and that's the simulation plant to simulate it to see what is going to happen in the future so that you can test 100,000 futures to find the one you want and the resulting one.

08:54

Do you want that future? Look, you have to load the data, some data, you have to load some historical data in some way to paint a possible picture in the future. And then do you? Does the simulation allow you to learn or what help us?

09:13

That's a very that's a very good question. Because we can use data from the past and we do. But what is very important in what we do is that what we put in the digital twin is the knowledge of the different experts. We don't only rely on data from the past, but we are in a system industry or system. You have experts who know very well what is happening on your live production line. What is happening with the robots, what is happening with logistics, what is happening with when people come to work, are they in three eight shifts or do the work? So this knowledge, we put the knowledge and we make the links with the knowledge and because we have all these? Once we have that we just have to connect to the state the current state of the system, and what do we do? We simulate So based on the knowledge, we can add knowledge that we have learned from data from the past, right? But there is the knowledge that comes from the brain of people. And it's

10:11

so deep. So this is cool. This is cool. And as you run multiple simulations, you're putting in different different type of data, different type of parameters, whatever it might be. And then you're is there. Is there a time frame of into the future? Like, can can the future be a year? Can the future be two years? What is sort of that ideal sort of future state?

10:41

There is no ideal we go from 15 minutes to 40 years, depending on the use case. 15 minutes? Yeah, we're doing definitely are sure. We Yeah, for example, assume that you have just a line, a production line. And you you're connected to the data, and you know that you, you're going to make a decision. And you have to go as fast as possible to make this decision. Because you see, for example, that a machine, the product productivity of a machine is dropping. So what is going to be the impact of this drop on your production, right? So you very rapidly simulate, just to know what's going to happen. And once you know that, what you do, you say, here is what I can do here is the different view of the different options. And now I'm going to simulate all these options to make the best possible decision. We do that timescale. And we do that up to 40 years, when we manage very, very big assets and equipments, for example, for maintenance and renewal.

11:44

Yeah, because the life expectancy of some assets are like, like, when I was in a tank farm, right? Those tank farms last like 40 5060, or whatever, whatever the life expenses, you got to run.

11:59

Yeah, exactly. And for example, that's what we do. Mr. Big electric networks. Yes. Electric net? Yes. That's a great example. Yeah. And we are, for example, we have full digital twin of all the high voltage, I mean, transmission, electric utility of France, the whole country, 1 million assets, 4 million interactions. And we have all the teams with where they are their skills, their cost. And every year, the company of T spends 800 million for maintenance. And when you go down that road, yeah, you're absolutely right. And now they're running simulations all the time to find the best decision, because there are a lot of cascading effects. If you delay an investment, this is going to you're going to have more outages on this, then you're going to run the teams there. But the team will not be available to do something else. And maybe you can have a cascading effect. So yeah, do you do you

12:56

got a couple of questions? Do you simulate the need for the workforce to be educated? Like there's a challenge today that there is a future skill requirement? And if I don't do it here, I'm not gonna get it there. Sure. And by

13:21

the way, we are doing that very, very concrete example. The same the same problem than the one I described on the electric grid. Yeah, we you have that in factories, because you have robots, you have fleets of robots, and they're obsolescence. So they, they lost, and they they age, and at the moment, they don't work anymore. So you have to decide to replace them by new ones. But then I have to train the people to be able to manage these years, when am I going to train the people when I trade them, they are not productive. So it has an impact. So you have to optimize all the things. And that's what we do with the simulation digital twin, so different times, but then

13:58

again, at 360, that's where you have to a lot of people are sort of siloed in their digital twin approach or look, do you also in that utility analogy, upload historical maintenance records. And so you'll know that this transformer had the oil changed out and whatever it is, or it's X amount of years old, and that type

14:24

of an exec. So we have that for each equipment, depending on the utility, some have all the data, some other loans, if they have we can from that learn from this data to create a model of each equipment when they don't. We have general equations that are known from this business, and that we can use and then we do that for 1 million asset. And we put all that together, and then we can run these simulations and create value from it.

14:52

So the question I have is, it's like a, again, it's a tsunami of of simulated data. Now how do I, how do I sit there and sort of swim through that. And, and be efficient at that. And now, my, you know, assessment,

15:13

two answers to that. One, the first one is when you create and when you deploy the simulation digital twin, you start by the problem you want to solve. And that is going to tell you what you're going to look at in the simulation. So we provide a huge amount of data to have from the future. That's data from the future. And that's not only one future, it can be hundreds of future depending on what you do and the way you manage it. And this, the first way is you start by knowing what are the KPIs I'm interested in? And these are the one with the platform we're going to show you that's the first answer. But the second answer I would say, is, probably is very, very interesting. Because all these data are what we call synthetic data, there are data generated by the by the twin, right by the simulation. And you know that one, what you can do with this data, you can you can use AI algorithms to be trained with these data, right. And then you can learn from the data you produce about the system, you have. And you can use these tools to find the best course of action when it's too complex. So that we have, I would say AI at the beginning, when you say for example, to get the data for a given asset, and being to learn when this asset with AI or you know, neural networks can upstream us that you put that in the model, you put the knowledge of experts, then you run simulations, and you use AI to learn from the results of the simulation.

16:45

I am a big fan of simulations. I can't put my arm around the level of complexity that you're talking about. I mean, that's if you're looking at just utilities alone. I mean, that's just as it's mind boggling.

17:00

Sure. And by the way, remember the it's complex systems modeling very, and the very important thing is complexity is you, you always want to get rid of complexity, because you say, Oh, if I touch here, it's going to have an impact there. But now assume that you want to have an impact there. And that you have the possibility to know that you just have to touch here, by cascading effect to obtain at very cheap cost, the impact you want. That's the future. See? And that's the President

17:31

says, Well, I gotta tell you, man, I've enjoyed this conversation. It I hate to call it short, but it was too short. How do people get a hold of your Michel? If they want to get a hold of you? How did they get? How do they

17:47

contact you? Oh, they go to our website? Because we'll take that. Very, very simple.

17:52

There it is. Yeah. Thank you. Thank you for your patience. By the way, I really enjoyed the fact that you waited around. That was a good time.

18:00

It was great time. And now the tapas and the gears right.

18:03

genotoxic. Okay. I'll amp it up. Alright, listeners, thank you very much for joining industrial talk by once again, we are broadcasting from the IoT solutions, World Congress, Barcelona is the town. And as you can tell, it's getting close to the evening. And that means it is Janet Donek time. But this has been a great event. Michel, thank you. Thank you so much. All right, listeners, we're gonna wrap it up on the other side. So do not go away. We will be right back.

18:32

You're listening to the industrial talk Podcast Network.

18:38

Hey, as always, thank you very much for joining industrial talk. And thank you for your support. And kudos to our friend Michel bore van, co founder and executive chair, Cosmo Tech, knocking out of the park. You know, you get it's all out on industrial talk.com. Let's just let's just lay it out there, you need to contact this Gent. It's out on industrial talk.com. So make that a priority. Again, put this on your calendar, we're talking about IoT solutions World Congress, we're talking the end of January, January 31 2023. To February the second, that is going to be a barnburner of a great conversation and great conference. Just because you need to know about this stuff. You need to know about IoT, IoT industry IoT, you need to know about artificial intelligence, you need to know about all the stuff that was going to be talked about and collaborate with people who have answers or looking for answers. They're ready to collaborate. It's all out there IoT solutions. World Congress make that a point ours also you gotta go out to industrial talk have already said that. But you got to go out there. We've got a just an on demand on demand, webinar, podcast, whatever industry webinars on demand And what we have is industrial revenue growth series. Now there's five part series. And we really, it's the first one, we're going to be working to improve it. But the reality is, is that we, in industry, have to figure out how to increase our revenue survive, if it's going to be difficult out there, and then do the things that are necessary to create that business that is resilient. We go through topics like corporate governance, marketing, sales, Technology, and how all of that works together to help you bring in greater amount of revenue all out there. It does real talk and you know what it is, it's great. That's great, because it's part of the ecosystem. We're here to be able to do what is necessary to make you a success. It sounds so Pollyanna, but we depend on you. That's just the bottom line. All right. As I say all the time, be bold, be brave, dare greatly hang out with people like be shown. And you will be changing the world. We're going to have another great conversation coming from IoT solutions World Congress, and you need to check that one out. I don't know who had said I don't I don't know who's in the queue, but it's gonna be a great one. And then be a part of this ecosystem. Sign up, do what you need to do. We don't water is nice and warm. Thank you once again for your support. We're going to have another great conversation shortly. So stay tuned.

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On this week's Industrial Talk we're talking to Erick Bartusek with Apache, Tom Bonny and Nate Clark with Deloitte Consulting about “The Challenges and Value of Digital in Oil and Gas”.  Get the answers to your “Oil and Gas” questions along with their unique insights on the “How” on this Industrial Talk interview!

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Personal LinkedIn: https://www.linkedin.com/in/tom-bonny-7bab94/

Company LinkedIn: https://www.linkedin.com/company/deloitte/

Company Website: https://www2.deloitte.com/us/en.html

Last Barrel Standing:  Upstream Oil and Gas Energy Transition | Deloitte US

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

digital, people, organization, digital transformation, tom, important, operator, conversation, Erick, industrial, small victories, business, deloitte, operations, solutions, industry, field, apache, trust, strategy

00:00

Hey, Industrial Talk is brought to you by CAP Logistics. You want to minimize downtime. Absolutely. increase reliability, you bet ensure operational profitability. Yes, you do. That means you need 24/7 365 insights into your supply chain, look no further CAP Logistics, go to caplogistics.com Or just call them. They're great people 800-227-2471 Also, AiDash, AiDash is on a mission to create a greener, cleaner, safer planet from space. AiDash helps core industries become more resilient, efficient, and sustainable through the power of satellites and AI. Go out to AiDash.com Find out more

00:56

welcome to the Industrial Talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots.

01:13

And let's get around once again, thank you very much for joining Industrial Talk. And definitely thank you for your support of this platform that celebrates industry heroes all around the world. You're bold, brave, and you dare greatly. And it is important that we collaborate more and more each and every day. Industry, technology, innovation is happening so fast, and you need to be a part of it. We're all about education. We're all about collaboration, and definitely all about innovation on this platform, and you got to be a part of it. So go out to Industrial Talk.com. All right, we're talking digital transformation, we're talking about the energy sector, oil and gas, and how that looks, whatever that journey looks like we've got a Apache Corporation, we've got Deloitte, let's get cracking. Yeah. Whether you like it or not, you got to be in the digital game, you got to find trusted people to be in the digital game. Because it's going to it's not going away. And if you want to have a business that's resilient, that has some sort of long term, ability to succeed, you need to be in the digital game. And and that's the decision, you need to be finding somebody a Sherpa of some sort to help you on that journey. And that's why we're having this great conversation with Deloitte and in Apachi and talk about how digital transformation is helping the energy space. And once you got to consider and all of the the wonderful, exciting future had has in us in the energy space. So anyway, this is going to be a great conversation. So you don't it's a paper and pencil. It's definitely a paper and pencil conversation. All right. We've got some conferences, the one conference that we have coming up, I think, well, next week, middle of October, it's the SMRP 30th anniversary, our annual conference. And, and it is about you know, it's a symposium of maintenance and reliability professionals, we're going to be broadcasting live, and getting the latest catch on what's taking place within the reliability and maintenance space, most definitely going to be excited about that. That is in Raleigh, North Carolina 30th Annual Conference go out there, it's all out there, you got to be a participant in that one. The other one that I want to put on your calendar is Fabtech. Now we just did IMTS. But Fabtech is just every bit is just amazing. And that is we're talking about November 8 through the 10th. This is in Atlanta, Georgia. And we're going to be broadcasting live there. And if you're going to be there, if you're going to, you know, pitch a tent there. Come and see me, I'm going to have all the my I'll have the booth number out there most definitely so that you can connect with Connect with us get on the calendar, let's have a conversation. Or better yet, if you have a booth and you want somebody to do a on the spot, technology speed date. Yep. Industrial Talk is where it's at. All right. Let's get cracking with the conversation. Again, digital transformation is here. Whether you like it or not, if you're in the energy, space, you're in it, you got to figure it out. And you got to figure out a plan to be able to do that and walk through that journey and be a success. We need you to be a success. That's what this platform is about. We want you to succeed. Everything that we do on Industrial Talk is geared toward your success, whatever that might be. And it is geared toward the collaboration with professionals that can truly help you succeed. So digital transformation, oil and gas, the energy sector, enjoy this conversation. All right, James, welcome to Industrial Talk. Thank you very much for finding time in your busy schedule to talk to the best listeners in the whole wide world if not the universe. How're you guys doing? Great See, I'm pretty geeky about this particular conversation. And I've had the conversation around digital transformation, all that digital journey when it goes to the manufacturing and all this oil and gas listeners, we are going to talk about that digital journey when it applies to oil and gas. All right, before we get into that topic, and then some Erick, I would love for you to share your little 411 on who you are. And then we're just going to go round robin on that. So give us a little background.

05:31

Yeah, sure. Appreciate it's got. My name is Erick Bartusek. Apachi is director of global digital enablement. I've been in that seat for a little under a year now. My previous experience prior to joining Apache was all in the energy industry, mostly either in consulting or the software space. So been doing this stuff for a little bit and excited to chat with the group today.

05:52

And when you say energies just for clarification, we're talking oil and gas, are we talking that that energy as opposed to some people say generation and that's energy and all of that stuff? So yeah, absolutely

06:03

my, so my prior experience kind of covered all aspects of it. But, but the focus here today is oil and gas. And that's what Apache does.

06:11

All right. Thank you, man. All right, Tom, give us a little background on who you are.

06:15

Tom Bonny with Deloitte, I head up our core operations practice for with an upstream, which today, none of that happens without talking about the role of digital improvement, how we work out anywhere from the office to the field.

06:29

A lot of work out there in nature. Next, give us a little background. Nick Clark,

06:34

I'm Deloitte’s lead partner for oil, gas chemicals, digital globally. And so my job is to help us all have the maximum impact on our clients with the all the exciting stuff you can do with digital. So it's fun job.

06:46

So the reality is with this panel, if if we have a digital conversation, that has not been, I guess, invented, it doesn't exist, because these guys are in the thick of it big time. We'll go with that for sure. All right. With that said, this is gonna be to you, Erick, sort of lay out why. And it's a big one. And you and Tom need you can join in to lay out why a digital strategy is important to the oil and gas market. Yeah, sure.

07:19

I think we're I always like to start is like, why are we doing this period, whether it's digital or not. And so, you know, the exciting thing for the oil and gas industry is, you know, producing safe, efficient operations for for an energy producer, it's the most important thing we can do. Right? Be safe, be efficient. And I look at digital as just being, you know, a component of figuring out how can we do that better, faster, cheaper, right? You know, digital transformation is going to cover a lot of different aspects for data process a whole bunch of different ways you can kind of slice and dice this. But you know, the idea behind digital is we're not, we're not here inventing software, you're not an operator, we're here kind of leveraging the best tools and technology we can to go back to that main anchors, safe, efficient operations.

08:11

Yeah, what always pops into my head is where do you start? You know, I just, these are not these are complex. Manufacturing, entities are big, they're complex things are moving. Tom, in the world of Deloitte and others, what do you start? If you come in, and you're saying, hey, let's, let's look, because it's, pretty much everything could be sort of, to a certain extent, digitize, tell us sort of walk us through that a little process.

08:41

But I think that's probably been some of the challenges the industry has faced is not knowing where to start. So they started kind of everywhere. I'd say the good news is, we do this annual digital benchmark survey. And this past one, which I think we released the beginning of the year, what was different from this time from previous times, we always ask this question of, you know, is digital impacting the industry in years past? You'd always have some people go, maybe? No, this time? 100%? Yes, no one, everyone's on board now. So that's been a shift. The other thing, though, that the higher the report highlighted was, everyone's kind of given this big picture vision. But after that, it's maybe I went to production, maybe I went to drilling. So I did a functional focus. Or maybe I took my one asset in the Permian, but didn't focus ever. That's been the challenge. Now, we've gone off piecemeal, there is no real enterprise strategy that brings them together, say, big picture, what are we trying to solve for? And I think that's the challenge now that I see operators in general trying to tackle is create much more holistic picture. We did some some, you know, some goodness, some random acts of digital who got the content that that delivered value, but how do we think about it more strategically? I think that's still an option a proper

09:58

Yeah, because I would imagine how They're there. It's like, hey, hey, this digital things great. Yeah, I can put a device out on this asset and start pulling data. Yeah, I can do that. And it's sort of in the in the conference rooms. Now, one of the challenges also outside of the like, where to start with all of this, Nate. It's trust. If I go out and I Google, like Google, digital transformation, I'm gonna get a gazillion hits. I don't even know. This, like, not only I don't know where to start, but who do I trust? Who is that Sherpa that I'm going to put my arm around? Again, thank you very much for helping us because we know it's important. Tell us a little bit about

10:42

that.

10:43

I mean, I don't even know. Well,

10:45

I think the first thing, Scott is that they're Digital's pretty broad. And so I don't think there's just one Sherpa that can help with anything. And so the first thing I'd emphasize is trusting yourself. If we're certainly in the professional services business, we're here to be the people who get a phone call to help with things. But even with that in mind, I'm telling you, you need to own your own transformation. If you have a bunch of people like Tom and I come in and help and do it for you, or do it to you, it's not going to be as successful as if the leadership team owns it themselves. So who Who do you need to trust, you need to trust yourselves, you also have to make sure this is a leadership team discussion. And then people like Tom and I can help out to focus that conversation and say, where can you get the biggest bang for your book? What should you stay away from what's the fastest path, but you've got to own it yourself. The other piece is that there are different areas to digital. And so to wait those things around process definition, software, acceleration and change management, it's a long list. At the same time, there are hardware companies out there that do things we don't touch me way whatsoever whatsoever, which are also just as important. So you got to be comprehensive, and the partners you bring in to think through this with you. Also, very, it's also the industry too. And so the lines between you where your company starts and ends, and where the next one starts an answer getting grayer, something that we talked about the digital, the digital report that Tom was just referring to, is how the ecosystem plays together. So as an example, for any oil and gas company, they have a very, very healthy partnership with their field service providers, with drillers, with suppliers. And so digital allows you to make those relationships a lot more efficient, and share savings on all sides. They have been part of the conversation too. So no one Sherpa trust yourself.

12:33

So that that brings up the question to you, Erick. I mean, there's that decision. Your company said, Yes, let's go down this road. Are you trusting in yourself? Are you trusting in the people around you saying, Yeah, this is where we need to go? Because to Nate's point, where are we it? You know, what's going on? You know, so he's gonna say, don't go there go over here. This is where we have a problem or a challenge or an opportunity. So take us through that that sort of dialogue that you're having internally?

13:06

Yeah, I think one thing that I've observed a lot of operators is figuring out how can you anchor those digital use cases back to you know, a value proposition, right, or a real problem to solve. Sometimes, if they're done in a silo is sort of that ideation process happens in a vacuum, you know, any of us can go out on Google and read the latest white paper on a really interesting bit of kit that got deployed out in the field, and you start thinking, You know what, maybe we should try that here. Right? It seems like a thing that's been done. And maybe we can find the same value here. And ultimately, that you might find some hits. But you can get a lot of distractions to write because which ID is going to be the one that really adds value for my organization. I think it's always been much more valuable for for an operator to take a look at those strategic objectives for their entire organization, and sort of decompose them down into opportunities for digital to help enable those, right. So if you're, if your organization as a whole is looking at trying to, you know, be better at drilling, increase production, minimize costs, you know, there's some very macro level themes that an organization is trying to support and then work with those asset teams to figure out what are some of the bottlenecks, or maybe it's not even a challenge, maybe it's an opportunity you want to exploit, we already do something well, but we want to do it better. I think that's where a digital partner, whether its internal or external, can really come to the table and say, Okay, I now understand what you're trying to achieve. I have some ideas on either the problems you're facing or the opportunity to exploit. Now, I'm gonna bring either my past experience or if I don't have past experience myself, I can work with partners, vendors to come in and bring some best practices, but then at least you're anchored to that sort of macro problem to solve as opposed to doing it in silos and pockets. And again, I think when it's done that way in pockets, that's where you're at the most risk for not being able to scale it later. Because you may have that initial success. And it may look just like the white paper you read, but it becomes very difficult to figure out if it was ever anchored in something more valuable to the organization. And so I think that's been a big piece of trusting yourself means kind of staying, staying honest with what you're trying to do as an organization and making sure digital is not off doing its own thing that's not in support of those, those macro objectives.

15:31

I might add to that, just quickly, Scott, yeah, no,

15:34

don't go. You know, when

15:35

he asked the question, you know, earlier, when we were having a sidebar was about like, when did these types of roles become more prevalent within an industry? I mean, I can't exactly remember all the time, because COVID make me forget timing of these days. But in the last five years, it seems like this is where you've seen people like Erick much more come into play. And really is it was all about that building the trust? What's the connectivity between the folks who know how to develop and design some of these solutions, but the folks who live and breathe and day in and day out who need these solutions, the core of the business? Well, that's the role of these digital leaders is really about how do I bring that connection together? How do I build better trust between these sides of the business to basically enable and sustain these for the longer run?

16:21

Yeah, you're spot on, I just my mind is, is just sort of juggling a lot of things just because, one, you, you want to do it, right, you want to pull in the right people and white organizations, you know, you want to have that, that dialogue, and tackle the real opportunities that exist in your organization. Nate, is there is there sort of like this necessity to, you know, you define the strategy of saying, Yeah, we're gonna do this, we're, we're embracing this, this digital thing, and then be able to go out and mark it and say, Hey, we're doing it. Now we just need help, is there there's zero necessity, because a lot of people in the field are just saying, Hey, I don't have that. I got it. I got this over here. And I got this over here. And I gotta do this. And I got that they have a lot to do. You're adding you're adding more work to them?

17:13

Well, we're dealing with a lot here is a little bit what is the strategy, but also what you're grounding us on Scott, which is that this is all about getting it done. And so a phrase I frequently use is our clients don't want digital strategies, they want the results of digital getting done. And so let's put that let's use that as the anchor point to this, this this piece of thought, what we want to see when a client works on their digital strategy, and where we try to help them is to start with what their ambitions are, and also what they don't want to do. There's so many things and upstream company could take on, they could say, we're going to be the best producer, we're going to say we're the best, most fast reactive driller, we could say we can handle the most amount of environments, it say that we're the best at being able to scale up and down based on economic conditions. There's a lot of things that all based on their business strategy that are rational ways of picking this up. But they can't do is they can't do it all. They need to make some choices. And so the first step is taking the business, the areas of your business that are unique to you, and it can make you successful, then double click, the double clicks are okay, if we want to be the world's best driller, what does that look like? What would that bestseller look like? And be unconstrained. So really, could we go to completely lights out operations on some of these areas can be completely automated can we can have everything concentrated in one global drilling center, etcetera down? And what happens if you do this? Well, you keep double clicking and saying, Okay, well, we know what that looks like, what are the projects we need to get done to get that done? And spec that out? And then go even deeper? And say, what would that costs who from our organization do we need to take out of the day to day to go make that happen? What partners maybe we need to bring in to help make that happen as well. And only at this stage, we're getting to what you refer to Scott about what you need to bring into this, because I'd rather have a client start with business strategy, all the way down to how we're going to get this done, and that specificity and then bring the partners in. And this is very, very simple reason. When I've talked to clients about this, I used to maintain a slide which had about 400 Digital terms on it, and every one of them was actually quite important. But when you're looking at that mess of all the things that can be important, you get lost and you can't concentrate on what makes sense to do first. And so here's mine doesn't make a decision. That's for doggone. Sure. So that order of how you pick this up can be very important. At least that's how I think about it.

19:36

Again, it just seems daunting, and it does require an organization to sort of be real and candid with the objective, the objective out there their strategy, but I like the fact that that strategic objective is to get done to do it to show results. In light of that, Tom, do you find it important for an organization? You know, for the naysayers out there? Because there probably some naysayers out there to have small victories, small wins?

20:15

A great question, because one of the most interesting things that came out from our last benchmark study was this value. Everyone's like, how are you capturing value? How are you measuring value, and you have different degrees of success. And I want you to keep that word small victories in mind. Because those that score tended to score the lower ranks, were those that were overly methodical, wanted very detailed charters wanted a bunch of give me numbers and date, and I want to be able to point to a line in a p&l and say, show me that value that actually slowed them down. So oil and gas companies love stage gates, you know, maybe not for onshore unconventional, but when I develop offshore, all these stage gates, well, they're applying that methodology, some of them to how I actually deliver digital, so that's actually slowing you down. The ones that scored the best, were the ones who had folks who are focused and working with the core business, the core operations and what's delivering value to me. And it wasn't organizationally, sometimes, you know, there's different org structures, but it's not about where the person sits. But it's how those people work together. And you we had one conversation with an ops manager who was basically like, I completely trust the value. Because I talked to the folks in the field, they say, are you seeing value from these things are saying I get it, it's helping make my job easier. I can then point to those small victories. The reason I say small victories are important that if I do something on improving how my artificial lift performs, I can go to use cases or examples of say, at that point, these analytics, self adjusted, brought up production or warned me that something was happening. So we did we change the behavior. But look, seeing that in a p&l is very difficult. But seeing those cases are very easy to pull out. And those resonated more and better with more senior leadership than the night those organizations scored better than those who tried to be micromanaged to the to the an individual number in a p&l.

22:13

Yeah. And Erick, there's, Tom brings up like, go ahead, go ahead. Yeah, I

22:18

was, I was thinking about his way he was describing it and sort of thinking about, there's a time and a place for the moonshot digital projects, right, that are very, you know, transformative in nature, multi years to accomplish. Maybe that's what people's minds gravitate to when they think about digital transformation is some of those big broad scope things. But my goodness, there's so much opportunity on call it like the baseball analogy, the singles and the doubles, where you can make real impact in operations. And quickly, right. And at the end of the day, especially if an operator is in a position where they're trying to build some trust, build some credibility for their their digital program, getting this singles and doubles, getting people on base with achievable digital projects that make a material difference, you know, in our in our field operations, or any of those situations, that can be just as valuable, if not more valuable than sort of those those moonshot projects. So I think having an appreciation for where an operator is, and sort of their lifecycle and maturity, would be really important. And just recognizing that there's a, there's a lot of value to be captured in some of those calm, safer bets that you can get something usable in a month or two versus, you know, the six to 12 month projects. Go ahead. And

23:41

Erick, certainly picking that up. And I agree with everything Erick, and Thomas said in terms of you know, you want those small wins, and they're more reliable, they're easier to sell, they build momentum in the organization. But there's another hidden advantage. We don't know what is actually going to transform the organization. And so when you take one of those big bets, it's a very, very big bet. I'd rather see a client, make some progress and improve this and improve this and improve this. And then once they have that higher level of knowledge and capability, then they know where to go next from there. So it's time so when we think about a digital transformation, we're not just thinking about the transformation, but also the transformation machine. What kind of things are we putting in place within the client so they can continuously improve and do it rapidly? It doesn't take two years to do something. It takes months, two weeks?

24:25

Yeah. And I there's there's one side of me that says yeah, and I liked that internal knowledge. You know, this is still new to some Ryan, you're, you're trying to build that internal capability of saying, yeah, now we know what now we're thinking a little bit different. Yeah, that can be digitized. Yeah, whatever it might be, be able to have that embedded in your organization. The question I would have and this is to you, Erick, is is a great got a little victory here got a little victory here. How do you sustain that and sort of make sure that people still see those little victories right and, and they always sort of come together in a much bigger Randers, you know, strategy, right? Just like, yeah, leave that one alone out

25:06

there? Well, sure. And it goes back to we were talking earlier about scaling things and making sure that they're not pocket proof of concept projects that go nowhere later. I think it ties back into the resource dedication, we kind of touched on a little bit earlier, but ensuring that there's there's ownership on the functional side of the business to bring these solutions to life and understand how you're going to take something that may feel like a small victory, but then scale it for the future, in my, my observation from from multiple operators has always been that if you can get those functional resources kind of out of the day to day, and dedicate the time to say, look, I'm going to take, maybe it's a production engineer, out of there, monitoring a specific set of wells in the Permian. But now I'm going to take them and say, Look, you're going to think about just how we monitor wells period, that that whole process and the tools and technology required to do it, then they can help figure out both those immediate near term use cases that may be seen as small victories build up that muscle memory of how we go about solving things digitally, but then they can then carry it forward and scale it right, you can also help them figure out how to go, don't be so heads down on just this one asset. Think of you know, global operations, right. And many operators don't just operate in one area, they may operate internationally, I mean, making sure you have someone whose remit is to think about how you can scale something beyond even just a particular business unit or asset level, you got to have that functional dedication, you got to be able to get them out of the day job, let them focus on identifying those near term wins, but also give them the remit to say you're not just gonna roll straight back into the business. As soon as that one use case is done.

26:53

It's all the time, you know that it's hard time to you in it, no doubt about it. Like it or not, you need to be in the digital game, you need to figure out how to be able to begin that journey. And I agree with it. 100%. But it always gets down to is sort of the challenges. It's always human, right? It's always churn, there's people coming and going and all of this stuff. And I, I liked the fact that if you elevate the digital journey, the transformation and the digitization of your business, and you have an at a high enough level, then there's some stability with the strategy, but how do you deal with this sort of how do you educate, read, you know, re educate whatever the terms are out there? What do we do?

27:42

So the biggest thing that I think we've opportunity, whenever I think about things, is you actually go out to the field, and you work with them hand in hand to deploy and do the change management. It's not about headquarters sending things and just saying, hey, adoption, you have folks who have been working this and I mean, I've done these, it's called you take a ride along out one of these assets and all that and they're like, Well, I've been doing this 20 years, 30 years, that's how we've always done it, why do I need to change it, I get my nice little paper book and I up there and I write numbers on it. And we did work with one client, call it five years ago. And we did a bunch of these ride alongs. And the very first one I did the individual says I was like, alright, you know, let's see a day in the life of what is it like for you out there? And I was like, Hey, if you think about everything that you've got, how can we do things differently? And you know, eventually get straight to the what type of tools or anything like that. And he's like God, nothing. So people, that's all I need more. I'm like, alright, well, that's not, that's not the main way to solve this. But then once you got to other people could think a little differently. Because he was he's an example of the old school mindset. But then we start working with a few other folks who also realized that technology is changing. The ability to capture data and use data is changing. Those folks are the ones same exact folks. But those are the ones you work on and say, Well, what do you need? How could you think differently. And a lot of these are, even if some of them who've been working there for 20 years, or some who have only 10 years, and some of them only five years? It's just a matter of saying, Well, if I do this in my everyday life with Amazon, with Google, all these other tools I have, well how can I apply that same thought to here, those are the individuals you target. Those are the individuals who need to be part of your solution. And then when you go to deploy and all that we created sometimes, like digital champions who did some stuff on an offshore platform for a few of them for an operator and it was like on every platform, we had back to back Digital Champions for the solutions that we're deploying. Make sure that hey, if you need to phone a friend or in this case, you can you tap on the on the platform, there's the person you're gonna go.

29:48

You're almost have to just make it that simple. I don't want friction, right? I'm secure and I'm warm and fuzzy with my little clipboard and piece of paper. I've done it for years and all of that With that said, Nate, how do you? And Tom brought up some good points? But how do you start to take in all of those legacy back of the envelope data points that are so important to that asset, and begin to pull it in to create that analytics that give that picture of that? Right there that one? Because you know that there's, there's file cabinets full of this stuff. What do we do?

30:28

I remember a long time ago, I took a course I worked for General Electric for a long time. And when this course, kind of reflected that it was on negotiating with unions, and I'm going somewhere with this. And the interesting thing is they had a video clip, and it was a union leader who was like, I was talking about working collaboratively with the field and headquarters. And the statement from the union leader was that for 20 years, you've had my back. And if you just come a little further, you could have had my mind as well. And that's, that's how I personally pick it up. Then nobody knows the field better than the field. Nobody knows. The equipment and the person who's worked on it, listen to it knows literally how things are supposed to smell. And so the other piece of it as we think about it, I've rarely met the people who sit there and say, you know, I've got my clipboard, and that's good enough, right, I'm able to go home and border anything in my kitchen, by speaking a few magic words, and Amazon makes it up here. And I think my job shouldn't be like that. So that I find it more helpful. And people know who the people are, who are innovative, who want to change, you're interested in new stuff, this advances their careers, this makes things better, these people wouldn't be in their jobs, watching the most important assets that companies got, if they didn't care, and they didn't want to do good things. It's good point. So I think the easiest thing is you have to talk to them, show them how this works. There'll be some doubts, there'll be some questions and those deservedly so. But those are actually be questions to get, because sometimes half those questions meet lack of knowledge, half this question is going to be like, Oh, we didn't think of that. That's a good point, we really should incorporate that as well.

32:04

I think it has to happen now. And I, you know, I can't speak for the workforce. I can't i All I know is that I've heard the term silver tsunami, right? We're getting ready to retire, there is a movement in that direction. And, and we're trying to backfill it with young professionals and passionate about it. To that extent, Erick, we know it's a human equation. What are the challenges like? Like, what are the roadblocks in that sense? Like, I got it, I'm all in man. I'm all in. But there's always going to be that roadblock?

32:38

Yeah. Me know, play off what Nate said that maybe just a different aspect to it is, I feel like it's a lot easier for somebody in the field to have a new digital solution brought to them by a peer, right? In our own life. How many times have you been sold something by a third party or, you know, somebody who doesn't truly understand your situation, you're always on guard, you don't quite understand if they're really have your best interests at heart, or if there's some angle that they're playing. And, and I think no matter how well intentioned, say, an external consultant or an IT organization can be, there's always a little bit of on guard that someone maybe in a production operations role might might have. But that's where I go back to pulling in, you know, their peers into the process. And whether it's making them, you know, the Digital Champions that Tom talked about, or just having their full dedication to the delivery of the solution. You know, if you see someone who walks, talks, acts like you bring a solution, say, I vouch for this thing, you know, this, this meets our requirements, it's a it's a we as opposed today. And I think that makes a bit of a difference. It's, it's all wrapped up in that change management process. But really having your, your counterpart be part of the process of defining the solution. It definitely accelerates the success probability of anything you're planning to bring out to the field.

34:05

So from my perspective, it's an exciting time. There's just so many interesting, and there's a philosophy there, right? There's a speed at which all of this stuff is happening. Right? And for me, it's hard for me, is that good? Is that is that good? It requires that that that leadership would be saying, Okay, this is where we're going, let's bring some people in, let's get the you know, the victories hear the small victories which let's get it let's start building and the bottom line is that companies need to do this. Just do it's not a it's not a it's not an option. So you do need to do this okay, we're gonna have to wrap it up. Before we depart. Let's say somebody wants to get a hold of you, Erick, how would they do that?

34:49

Yeah, I can share my my work email, but it's Erick.bartuske@apachicorp.com

34:55

Excellent, Tom, how did they get a hold of you?

34:58

Tbonny at all. I've come or you head online and look at any of our articles there on this project here, you'll find my email as well as Nate's from with me share his

35:10

most digital solutions. Just Google, and I'll come up but any corporate

35:14

add your name? Well it's digital solutions

35:18

not that but you know, if you look Tom Bonney digital you're gonna find Tom You can google Erick Apache digital you're gonna find Erick and same for me so and I'm sure the same for you scout we're gonna turn you into Mr. Digital here as well

35:30

Oh yeah, yeah. Yay because I'm telling you I love it I do I love I just love where it's going I love the conversation I you know and and for me personally there's a speed and it's exciting, right? If I was young had more hair I would be all in man I'd be all in. All right you guys were absolutely spectacular. I really appreciate it. All right listeners, we're gonna wrap it up on the other side, we're gonna have all the contact information for Tom, Nate, and definitely Erick, out on Industrial Talk. So stay tuned, we will be right back.

36:06

You're listening to the Industrial Talk Podcast Network.

36:12

All right, once again, thank you very much for joining Industrial Talk and for your support. A hearty thank you to Nate, Erick and Tom. And talking about digital transformation in the oil and gas and energy space important you need to be in the digital transformation game. You need Sherpas, you need trusted individuals to help you along with that journey. That's what this platform is about highlighting people like Deloitte and Apache and and making sure that you have everything you need to be successful, at least have a direction of some sort. So thank you to Deloitte thank you to Apache for being on Industrial Talk. Again, next week. This is I want to say October 17, through the 20th. It's a little short turnaround. But this is SMRP 30, of annual conference, and we were going to be broadcasting there. And if you're in the reliability and maintenance space, and you're finding yourself at the SMB RP event, look us up. You can't miss us. We'll have all the lights and the cameras and everything like that. So let's have a conversation. And the other one is of course, Fabtech, which is next month. Let me sort of pull this up. This is in Atlanta, Georgia, November 8 through the 10th. Yeah, November 8, through the 10th. We couldn't be you're going to be in Fabtech. And in fact, we're going to have out on Industrial Talk the booth number and all that good stuff. Look us up. Let's have a conversation. Let's and if anything at a minimum say Hey, Scott, we have a booth. Can you come on by and talk about our tech? Yes, we can. And that'd be a lot of fun too, as well. We'll just get that turned around. All right. Be bold, be brave, daring, greatly hanging out with people like Tom, like Nate, like Erick, and you're going to change the world because we need you. We need you to be a success. You need to collaborate, you need to innovate and definitely you need to educate as much as you possibly can because we need you. That's what this platform is all about. Thank you very much. We're going to have another great conversation shortly. So do not go away. We will be right back.

The post The Challenges and Value of Digital in Oil and Gas appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Daniel Spahr, COO with Stream Analyze about “Data Analytics and the power of the Edge”. Get the answers to your “Edge” questions along with Daniel's unique insight on the “How” on this Industrial Talk interview!

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

daniel, cloud, data, device, industrial, analytics, platform, happening, models, firmware update, forklifts, industry, work, conversation, edge, stream, talking, professionals, people, world

00:00

Industrial Talk is brought to you by Arduino the original all in one IoT platform. That's right, go out to arduino.cc. And you will find documentation you will find devices, powerful boards to help you with your digital transformation journey. It's all there, go out to arduino.cc. Find out more see how you can connect with these professionals to help you along with your digital transformation journey. arduino.cc. Also Industry IoT Consortium. At industrial talk, we always talk about education, we always talk about collaboration, we are always talking about innovation. And if you're a business that has any desire to be resilient to the future, you need to be able to educate, collaborate, as well as innovate with other industry professionals. That's a must. Industry IoT Consortium brings that all together, you need to be a part of this community, you need to be connected with these leaders that are all apart the industry IoT consortium, go out to iiconsortium.org. Find out more again, you will not be disappointed. You're just going to be happy. All right. Once again, thank you very much for joining the industrial talk a platform dedicated to you industrial professionals all around the world because you're bold, brave and you dare greatly. They're solving problems and you're making the world a better place. That's why industrial talk is here to celebrate you. All right, we are broadcasting once again from IoT solutions World Congress buzz in the background, we're talking to Daniel Spahr, Stream Analyze and we're talking about edge, thin edge, near edge and everything in between edge. That's what we're talking about. And also I want to make sure that you know that IoT solutions World Congress, the next installment is at the end of January. Put that on your calendar. That's at the end of January 1 part of February. Fabulous, fabulous event. must attend great professionals. All right, once again, Daniel in the hot seat. Enjoy the conversation

02:21

Daniel spires hotseat.

02:24

Hey, it's got pretty good.

02:25

Yeah, that's good. Yeah. Stream Analyze the company. Right. Yep, that's right. See? That's good. You havin a good conference?

02:35

Yeah, it's great. We're at the IIC we got Oh, you

02:39

gotta you're on that. Yeah, we got a bigger place. Yeah,

02:42

we are in the pavilion. Right? It's down there. So that's good.

02:45

I see. I like that. Yeah. It's like if when you come to this conference, compared to other conferences where you gotta go, and that's fine. You can go to special spots and have the conversation. But to be able to have that one location where you can go quickly, it's like speed dating,

03:00

and it's perfect. And then you know, people know where you're at, you'd say we're at di C and they go, okay, cool. I find it. Yeah, rather than say you're at C 123.8, or something like that.

03:11

And you get everybody, gawking around. What's what's, what is it, not watching where they're stepping or anything. All right, for the listeners, give us a little background on who you are.

03:20

My name is Dan Spahr, COO with Stream Analyze. We're a small startup out of Sweden. I've worked 20 plus years in the digital industry as consultant, I've been CEO for a pesca global pest control company, I've worked internationally and nationally and Sweden, but for the last few years at this startup, and, you know, what we do is we sell software, we sell software that you can install on any device, and make it smart.

03:47

I don't understand. So this is I wanted to get you in. I was just gonna say. And now now, now that I have you. All right. So what do you mean by that? Because I know that here at this event. And in manufacturing, and anything that's industry, we're talking about collecting the data, analyzing the data, making decisions from the data so that we can be more tactically focused in our business so that we can make more money, create a business that is resilient, all that good stuff. So how does how does a stream analyze do that?

04:21

Well, you said one thing that I sort of keyed in, you said, collecting data collecting data. So what did you know, it's all about IoT. So you have sensors on your machines or your products, whatever it is, you're collecting all that data, you're trying to get it, you're putting in the cloud, or at least trying to put it in the cloud, and then doing a lot of analytics there. But there's a few things you're not thinking about. One is collecting all that data on the cloud is expensive is excuse me, atll Yeah, it's

04:46

slow and Hell yeah, it's expensive. And I say that it's a podcast FEC

04:54

whatever, anyway, you know, it's really expensive, you know, just transferring that data, but also, you know, Storing it and doing transactions on it. That's one. The other one is latency. So maybe you wanted to make a quick decision about something, getting that up to the cloud take the decision. And actually, that just doesn't work. So what we do is we have a platform that you can install on any device, who does chainsaws, we don't cars, we don't forklifts we've done and gateways, routers, we've been done on MC use on so just on pure silicon. And what that allows you to do is do all that analytics, on the data assets happening on that device. And then you're only sending whatever data you want up to the cloud based on that. So it can be an alarm, or it can be some congestion of data. But you don't have to send everything because the amount of data is being produced. Now it's just growing. And this goes back to you know, what I taught talks about a little bit before we believe that everything will be small devices, machines, things will be smart, driven by AI. But to do that you need to, you know, you need to be able to enable that smartness on there in a good way. And that's not really happening.

06:00

But is that sort of the definition of edge?

06:04

Yes. So part of it, but edge is if you talk edge, some people will say this is it

06:09

I've I've spoke about it. Not me. I've talked to somebody who spoke about it. Yeah, I'm just a conduit.

06:15

Yeah, some some, you know, the broader definition of edge is not cloud. It's anything outside of the cloud is closer to in proximity to where the data is generated. But what we're talking about is thin edge or true edge, you know, where you're almost on the sensor, you're on that device that actually has that sense. So we're really, really out there can be on your mobile phone, it can be on the chainsaw, it can be on the forklift, on the car, we've done a lot of automotive, it's, it's, it's, you know, on the MCU that's connected with with sensors on it. So that's where we reside. And that's where we actually do the analytics. For you know, that data.

06:57

So you do the analytics at that, yeah, that thin, thin edge, whatever you want to go to Edge to edge, it's right there at the device, and you're doing the analytics at that location. And then you're sending

07:11

whatever you need about either, but it could also be adjusted the operator driver, or whatever it is. But it can also be sometimes you have some central cloud unit, or whatever it is that we can do. But it requires connectivity. But that's what that's so we have a generic platform we sometimes joke about it says, well, it's like real time Excel. So you open it, you can make your models whichever way you want. Because we don't provide models, we just plan out a platform to build them and deploy them and have a dialogue with your products.

07:42

Okay. And then in that dialogue, that ability, you're doing the analytics app, at the site at the source, whatever, exactly. And then sending just the the needed notifications to the cloud, which then addresses the cost issue, you're not sending the whole tsunami of data, and you're not an artist, can you? If you're so close to the device, can you set up something that is notify the notification in a quicker you don't have the latency? Know

08:14

Exactly, that's what we're talking about. So you need quick decisions in hard real time we can do that.

08:20

And then send and then send the information that is not really up to the cloud, the things that it

08:26

will say you get an alarm and you want to notify your your your monitoring system or your back end system, we can send that alarm. But we can also send if there's any other data related to that. Some some of our customers would like to know what happened right at the moment. Yeah, that that, that we get this alarm. And we'll just take that data right there and then pass that on. But but in reality, it's our customers are doing this because we've given them a platform to build these models themselves. Without having to be a programmer. I'm sorry,

08:54

because it I call it the and whether it's right or wrong, or I don't know, it's called from my perspective, called the Amazon effect. Because all of a sudden, I'm so impatient. If you give me something that satisfies my question faster. I want that. Yep. That's it. And so it's, it's funny to see the growth of the evolution of the the data coming in, and how people are saying, Oh, no, no, no, just set it up the cloud, we're fine. And then somebody comes to them says, hey, you know, I got that notification. And it's just happened just right there. Well, I want that I want I want faster insights, I want it faster, you know, decision making capabilities. And then that's

09:39

but there isn't there is a problem and getting these kinds of things on to the edge because what often because it's usually you know, you're you're actually down on hardware, and that usually requires embedded solutions in one way, shape, or form. So you're doing firmware updates and things like this. So a lot of the analytics that are happening on devices today, and this is where I started, we'd like to challenge the status quo. If you're building a AI model or TensorFlow model, something like that, then you have to do a firmware update. This is what Tesla does, right? So but it's just like your mobile phone, you need to connect it, you need to have it hooked up, right? You can't touch it and let it be. We don't work that way. And this is a slow, slow process. So let's say you get that onto your device. Yeah. And then then your data scientists say, well, we figured out a better model, we want to update Oh, well, we'll have to bring it into service, we have to or we do a firmware update over the air. It's a bit of a cumbersome process. We install a platform, and then we can update those you can update those models whenever you want. On the fly. Oh, that's one of the benefits.

10:37

See, I love that analogy. Because I am, sadly, I'm impatient.

10:43

Yeah. And this is what we're trying to do. You're speeding up the time to market time.

10:47

And if you can do it without asking me questions, and just do it.

10:52

Yep. Yeah, no, that's exactly. You can just get it updated. Sorry. Done.

10:56

Yeah. And in fact, the conversation doesn't even have to happen. No, it just, it just works. Yep. Yep.

11:04

You can even have your models updated. And you will know it just performing better. You didn't get it? Yeah. Yeah, I didn't even think of that. I thought that was good. Yeah. But it is.

11:13

Because I'm impatient, of course. And so if you don't, and I don't like it, which is sort of odd, sometimes. Conversations. But the reality is, is that it just happens. And that was a value proposition that was brought about by SAS, if I have my, my service in the cloud, then any updates happen up here? But I'm not I'm not, you know, going on prem to, you know, upload changes that are taking place. It just happens. Yeah. And so it's the same thing, but, but even even faster.

11:48

It's kind of like that, yeah, one of the benefits are sort of side of it will be like the secret sauce. And all this is interactivity. So the platform allows, as long as you have some connection, you can have an interactive dialogue with it. So you from your central from the cloud, or for our front end, or whatever you call it. Yeah, you can ask queries to it. Since I said the 111 case we have is with a provider of forklifts. And what they want to do is they want to be able to allow their service organization to use this. So they get an alarm from our, from one of their customers. They are forklifts broken. Now their technician can use the platform to have you know to ask, okay, well, what's wrong? They can ask that they go directly onto the device and get all the sensor data they need for temperature, whatever it is, and say, oh, okay, I need to change this, you know, I need to add order the spare part, or it's a simple fault that the operator can, you know, adjust himself. And this way, they're reducing their costs because they don't have to go on site as much and they'd be much more efficient.

12:44

See, this is this is sort of on list of what we want to challenge. See, I'm an f1. Geek, just in the cars. Yeah, yeah. So but they're able to, through that communication, that ability to speak to the car while it's zipping around the track. And then if there's any issues, they can make those adjustments. There. Yeah. And they're talking just like that forklift analogy. They're repairing it remotely.

13:14

But that's leaving, you know, that's, that's only that's one area that's got it. What's that? I think it's only one that can have it has that right? Yeah, no, that's it. But it's but we're providing this to the industry.

13:27

Yeah. But that's what you need to do. Yep. Because people are getting more and more impatient, because they want their package delivered sooner. And they're just being genetically modified. No. I know I am. I ordered something. And then it went through a different carrier. And it was taking time and I just said, I can't do it. It was like a week. And I'm already tapping my toes. How ridiculous is that? All right. Daniel, how does somebody get a hold of you?

13:55

Well, they can, you know, they can find me on LinkedIn. Yep. They can go onto our website, www streamanalyze.com. That's one way where you mail me Daniel.Spahr@streamanalyze.com.

14:09

That Well, yeah, it works well. And so listener, if you want to get a hold of this gent, don't come to me and say you can't because I'll have all the contact information out on industrial talk. Daniel, you were fantastic. And thank you, Scott. All right. Remember, we were broadcasting from IoT solutions World Congress, it is brought to you by them as well as the industry IoT Consortium. Both organizations, absolutely fantastic. Put this on your bucket list. You get great people like Daniel, if you come to this event, or you know, reach out to him. Thank you again.

14:43

Thank you very much.

14:44

All right. Again, we're gonna have another great conversation shortly. So stay tuned. We will be right back. You're listening to the industrial talk Podcast Network. All right. A hearty thank you to Daniel Spahr and team Stream Analyze for sharing Are there insights and wisdom on all things edge and in between, it was an absolutely wonderful conversation. And I'm just telling you right now, if you're not in the digital game, and you're not trying to find out how to pull data off your assets, you're gonna be left behind. And this train is moving fast, reach out to Daniel and team, stream, analyze for more information. All right. IoT Solutions World Congress is scheduled for 2023 end of January 1 part of February, important that you take note and participate. You can't beat the venue, you can't beat the location and the people are just absolutely top notch professionals, all focused on solving problems in this really rapidly changing market. So that's IoT solutions, World Congress, it's all out on industrial talk. And I'll get engaged. That's all I could say. Because we're building a platform here at industrial talk that talks about education, Daniel, educating us collaboration, again, Daniel loves to collaborate and solve problems through innovation. So it's important that you are a part of this community and ever expanding community. Thank you very much. Be bold, be brave, dare greatly. I say that all the time hanging out with people like Daniel, and you will be changing the world. We're going to have another great conversation again from IoT solutions World Congress, so stay tuned. Do not go away.

The post Daniel Spahr, COO with Stream Analyze appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Shamik Mehta, Director of Industry Solutions Marketing at Hitachi Vantara about “The Never Ending Pursuit to Innovate to Positively Impacts Lives”.  Get the answers to your “Innovation” questions along with Shamik's unique insight on the “How” on this Industrial Talk interview!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2022. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

SHAMIK MEHTA'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/shamikmehta/

Company LinkedIn: https://www.linkedin.com/company/hitachi-vantara/

Company Website: https://www.hitachivantara.com/en-us/home.html

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM:  https://www.neom.com/en-us

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

hitachi, Mehta, data, problem, iot, companies, solutions, industrial, people, bag, customer, conversation, world, vantara, manufacturer, industry, recorded, information, asset performance management, disappoint

00:00

Hey, industrial Talk is brought to you by CAP Logistics. You want to minimize downtime, absolutely. increase reliability, you bet ensure operational profitability. Yes, you do. That means you need 24/7 365 insights into your supply chain, look no further CAP Logistics, go to CAPLogistics.com or just call them. They're great people 800-227-2471 also Industry IoT Consortium. At industrial talk, we always talk about education, we always talk about collaboration, we are always talking about innovation. And if you're a business that has any desire to be resilient to the future, you need to be able to educate, collaborate, as well as innovate with other industry professionals. That's a must. Industry IoT Consortium brings that all together, you need to be a part of this community, you need to be connected with these leaders that are all apart the industry IoT consortium, go out to ai consortium.org. Find out more again, you will not be disappointed. You're just going to be happy. Again, welcome to industrial talk. Once again. We were broadcasting from IoT solutions World Congress and we caught up with a jet by the name of Shamik Mehta. Again, you'll hear in the interview, but I met this guy virtually, and he does not disappoint one bit he's with for Hitachi Vantara, we had a great conversation. We discussed everything at this particular event. Because you know why? Industrial talk is in expanded ecosystem. I'm using that term quite liberally. But it is about solving problems collaborating, and definitely educating should make doesn't disappoint. Let's get on with conversation.

02:07

Dog ontogeny, so listeners, by all you know, should make from a television screen or a monitor. I've never met him in person. I'm now I'm meeting him in person.

02:19

And it's so good to be here. I recognize you instantly.

02:25

Yeah, there's a lot of good looking people around here. But I'm the ugly one. So it's easy.

02:29

All right, you have the best hat is the best. He's the best dressed guy over here. Just being here.

02:39

Now, you know, what is I get to live my Discovery Channel Live, I get to talk to everybody who who has the solutions. And I just sit back and soak it up. You know, eventually, I don't know what I'm gonna do with it. But I'm, I'm Scott, the AI guy. Like just just keep on soaking up information. So for the listeners, let's let's just sort of level set their show me give us a little background of who you are. And then we're going to venture on into a touchy fib Daraa.

03:03

Absolutely. I'm sure Shamik Mehta. I'm director of Industry Solutions Marketing at Hitachi Ventura. And I've spent the past 2025 years working in the world of high tech marketing, product management. Everything from semiconductors starting in nicely designed to renewable energy, product management, EVs and battery leasing for fleet management, internet of things when we were calling it machine to machine and we were equipping solar arrays with IoT sensors inside the inverters. And we were looking and collecting data from inverters on three gigawatts worth of solar projects from around the world in seven countries. Yeah, and wind turbines and everything in between and anemometers. And making sense of all the data and figuring out when to service the panel's will never clean them and all that and they talking about 911.

03:54

So you see, this is interesting, because I, the conversations have just changed so drastically. When we were here, what, three years ago? Yeah, okay. People are saying, yeah, now we put devices out there. And then it does this is sort of rudimentary, but it's been around but But now, the conversations aren't just real tactics. It's like, do this, grab this be able to make these type of decisions? And, and I think Hitachi Ventura is leading the way that you guys, not, I mean, you guys embody, from my perspective, the just this energy and innovation, because you never stop. It's always like something else. Yeah. Hi.

04:36

Well said, because we've not only been like an innovator in this IOT space, but we have been creating and simplifying business problems by saying, let's focus on the outcome that customers want. Customers are not interested to learn about an IoT platform. That's not what they do. They don't yeah, I'll be customers, I think, hear a word of term like an IoT platform and they are great what One more silo of data that this vendor is now going to control. And we are here to tell the customer ask the customer, what problem for you keeps you up at night? Is it asset performance management? Is it using computer vision? Is it using artificial intelligence to drive insights and tell you things that you did not know, before? You were sitting on it all the time.

05:25

The companies have tons of information, there's data, there's just but they don't know what to do with it, it doesn't have value. And it's a constant problem.

05:35

Just because you have data does not mean it has bad. Yeah, too much data is actually a bad thing. As too much data, that's a bad thing. Because if you cannot understand the data sources and ownership and what is inside the data, then what good is

05:52

it? No, in fact, I don't know you probably do know should make is there's a point of diminishing returns, like okay, this, this is MIDI data. And this data can be sliced and diced in so many ways that makes sense. But then, you know, there's some, there's some thought out there and they just keep on collecting different types of data. And it just eventually just sort of, okay, I'm, that's like,

06:15

I'm gonna give you an example of what happened on Monday, when we got here from San Francisco, San Francisco, to Frankfurt, and then Frankfurt to Barcelona. The halt the layover in Frankfurt to get to Barcelona was only an hour and a half. From international third said,

06:31

that's incredible, that's tight.

06:33

So guess what happened? We got, we made it here. My my colleague, Bjorn and I, our backs did not. So then we landed the Barcelona, we had a we had an email from the fans are saying, Sorry, your backs don't make it. But the good news is, the bags are already in the next slide. And it's coming over. So we had to just figure out whether we wanted them to deliver the bags to us, or he wanted to wait a year or to pick it up. So we went and checked the Congress that was handling loss baggage for the thunder, a company whose name I forget, right. And we also had had an email from distanza saying, upload your records on our website. So we did that address where we were staying all of our contact details everything else. When we went to the global company that was handling Lufthansa and a few other airlines for baggage Yeah. And we went there, they had to enter all that information all over again, all the information on the status page, or wherever we were description of our bags, blue color, with rulers without rulers, whatever we entered, all that information at the clerk had to enter that information in their systems. Again, that meant that it is silo of data that this company has, and that Lufthansa has, and they do not talk to each other.

07:45

It doesn't have to be that way it does. And outside of the fact that somebody's fat finger in your data into another system could be you know, introduction of errors, and then all of a sudden, your red bags, a blue bag, or whatever

07:56

it might be. This is a great example of IoT that can be used, or it's a matter of data integration. But more than that, because those two companies have to agree on a partnership, it is going to change the way they do their business. This is Digital Transformation 101, where you're not just telling the fans or ended up partners to open up all right API's and access each of those datasets. It is transformation, which what the companies are completely transformed. And we are not even talking about adding an IoT sensor or an RFID on the back or an apple tag that continue the location to the back. If I were to introduce that complexity, I would just actually made the problem worse, because now I have an old T sensor source of data, which is telling me where the bag is located. But it provides no value because I'm not gonna be able to go pick up my bag from the Lufthansa plane myself.

08:48

Yeah, see? It's the solution is available and plus be in a customer. You know, I, I want a good experience. That's not a good experience.

09:02

That's not a good. Yeah. And but if they were to have data integration, if they had embrace digital transformation at that basic level, think about the amount of customer satisfaction and efficiencies that this unleashes, my back is lost. I only recorded one time, and it's all taken care of.

09:21

So using that analogy, we flew in on Delta. And really, for the first time I've been we've been flying forever, right? There's there was communication to us about, Hey, your bag is being loaded on the plane. Like, oh, cool. I leaned over to my wife, hey, I love it. And then and then the bag is on its way. And it's just, you know, we find ourselves the market itself should me because just we've got an expectation and I call it the Amazon expectation that better. The better dazzled me If my package better get there yesterday, right, right. And we we carry that expectation through all aspects of our art or our life.

10:10

I know, I think it's a great thing that the tanza handled our facts so well that by the time we landed in Barcelona, we had an email telling us, don't worry, your backs have been found, and they're on their way to you. I love that. Yeah, it was just the act of avid to add that information to times made me realize that I'm heading to an IoT show, what are the best of the world? Yeah, and here we are, before we even get to the show, where I'm trying to figure out a data integration problem that I'm experiencing live as I get there,

10:36

and it's not a it's not a it's just a basic one, quite frankly, here field field field field field field field.

10:44

It was resolved peacefully, we had to stay at the airport for another hour and a half to get our backs. It's not a problem at all. But that's kind of outcome that we try to focus on, right? What is the outcome with tons of your package happening that you want to solve? Let's work backwards from there.

10:58

I do like that. What else is Hitachi Ventura bringing to the table here at IoT solutions World Congress,

11:04

we are showcasing our smart manufacturing solutions, manufacturing insights, everything from a supply chain control tower to digital game boards, and asset performance management of factory assets, whether they be in one factory, one location or another one another country. Similarly, in energy, we are showcasing smart energy solutions, we are doing image based computer vision based asset inspections, and identification where we can take a look at a transformer and make out figure out exactly whether the transformer or whether that insulator is showing any signs of wear and tear and defect and might cause a fire sometime.

11:43

Are you seeing any, and this is always the case, that my experience some people that there's a there's a learning curve that has to exist here where people are beginning to feel more comfortable with what's taking place and how this whole digital whatever Renaissance where we want to call it is impacting their lives in a positive way manufacturers are we getting to a point Shoemake where the solutions are, are easy for the my expert, I'm a manufacturer, and I can't bring on any more complexity. But I know I need to do this, are we trying to drive towards simplicity for these solutions

12:28

we are. And I think the easier you make the visualization of the solution, the easier or make the adaptability of the solution into what the customer is already used to without forcing them to change their databases without forcing them to change. They're not well known tools and dashboards that they want is a way to go. So we need to have modular scalable systems that does not disrupt the customer's environment, but adds to it. And we think if you know exactly the customer's outcome that you're trying to help them achieve, you can get there. If you don't have a clear understanding of that. I think vendors will try to push what they think solves the customer's problem and forces them to move to a new solution or a new tool or a new visual dashboard, that disrupts things. If you don't have everybody on the ground floor on up and agreeing to the new tools that they're going to use. They're just going to make things more complicated. How are

13:28

you addressing from a client perspective? All of this is great. All of those are wonderful solutions. And and quite frankly, if you're a manufacturer, if your energy, whatever, whatever industry you're in, you need to do this. No matter how painful it is, but you find trusted, you know, people companies to be able to help you with that journey. How are you? How's Hitachi vantara addressing this need for reskilling upskilling existing workforce?

13:59

Yes, the question. We have about 240 to 280 openings for software engineers as we speak. And it's getting increasingly difficult to find candidates to interview for get hired. We think that the skills gap is severe. We think it's widening every year, and the demand is out of whack with the supply. Yeah, we have a lot more need for competent, well educated engineers than the world is putting out today. As a result, not only us but we find our customers constantly investing in retraining of their workforces. One of the things that we are helping manufacturers do is establish a digital game bubble. Where you know, when a shift changes, you typically have the operators get into a room and to post it sort of drawing on a whiteboard, change the knobs and conditions at work to get them to yield that they did and what brought problems be observed in a machine. And all that information is usually just passed down to Macbooks, to conversations and institutional knowledge. But as many of these workers start to retire, and new ones are encouraged to join, there has to be a way to capture that information, we do that using what we call a digital camera works. It's a giant touchscreen, where inputs are recorded, is shared with other factory locations and other workers in other places. So now that knowledge is not only just best practices in that factory, and what happened on a particular day that got them a good result. But those learnings are captured forever used for training purposes, shared throughout the company, and is overall positive virtuous cycle.

15:44

If you see that you're you're right, I think supply demand that type of reality that test is impacting, specifically, let's say the IoT world, I mean, companies like yours, and others, and professionals like you and others, you you, you push the envelope in a positive way you create new use cases that were not there, because you realize that, hey, we got this technology, and hey, there's another technology we can, you know, marry them together in some way. And then we solve this problem, this is the use case, right? That, to me is a real sort of point of tension, because you guys are moving at a different rate than me. And, and I might be reviewing version one or two. And then you guys come knocking on the door and they say, Hey, we got version 15. That thing, but it's not. But that's what we have to do. And I sort of, you gotta grab that tiger by the tail, if I'm a manufacturer and just say, this is the reality of it, get going.

16:48

It is another great example of simple technology it uses in our booth right now, where we are going to be using LiDAR, you're counting the number of people and the flow, or the heading past our booth are coming towards the booth. Get out of here. You know, we are we have a live cover over two days. By the way, we shot three times as many people before lunch walking by our booth into certain direction than we did all day yesterday. Which means that today was just I think, heavier presence in the show not see today. Right? Yeah, you're right. So we've been doing this counting? Well, that information can be recorded. And and you know, we plan to share it with the organizers. So they know exactly which direction were people moving in? And that helps.

17:29

Okay, so just sort of sparked an interest like, where are the flows going? Right? Do they just naturally come this way? And go up? Or? Or how do you how do you lay lay out your conference floor so that your flows are really easy and sort of sort of the put us into the casino, you know, you get in there and yeah, check it out there just being able to sort of roam around. That's a hell of an idea.

17:54

We have all the reports, able to export them. And by the way, no personally identifiable information. And it's all live events. Yeah. So all we do is record the follow a certain direction versus another one and it gets recorded. That's just help the organizers next year plan to flow people better.

18:13

Yeah, but that means you're gonna have to put out other whatever LIDAR sensors in other parts of it.

18:20

No problem. All you need them is in a few alleyways. A few of the main out. Yeah. And you have

18:25

to come on by to see that dog. I think that's what I want to do. Oh, I will. I'm shameless. Absolutely shameless with that. Oh, my gosh. So we've got a lot of stuff happening at Hitachi Ventura. This is the first time you're at the show first

18:39

time you me personally at this show. Yeah. She's been here. Hitachi has been a number of times. Yeah, you guys are still responsible. I'd be our silver sponsor of the show.

18:51

The silver. See, it's cool. You guys rock man, I got to tell you my perspective. There are many companies that I work with, and all of them absolute joy, don't get me wrong. But I find Hitachi Vantara always been very innovative. Sort of never stopped thinking has a passion to solve problems, help companies succeed. And and I think that that's an admirable quality or culture that exists at Hitachi Vantara. How do people get a hold of you should make

19:28

should make doc Mehta and Hitachi ventura.com are on LinkedIn. I'm on wireless. Next.

19:34

Thanks a lot. Good man. That's exactly it's better to meet you in person as opposed to on a terminal monitor or whatever it is. All right. Once again, you're gonna have all the contact information for some eek out on industrial talk.com. So if you're not, you need to get a hold of this gentleman need to get a hold of Hitachi Ventura, and begin to that digital journey. It is a must. They'll make it as painless as possible, but just recognize that decision has to happen. Again, we are broadcasting From the IoT solutions World Congress, it is an exceptional event. You get to meet people like Shamika and others who have a passion to help you succeed. So put that on your bucket list. We're going to wrap it up on the other side. So stay tuned, we will be right back. You're listening to the industrial talk Podcast Network. Again, thank you very much for joining industrial talk. Shamik Mehta. Go out to his backyard. By the way, I'm looking at it right now. LinkedIn, and it looks like he's got a new mug shot out there looking quite dapper. Shimmy, you gotta connect with them. They never stopped thinking that Hitachi Ventura and that is a wonderful thing. And you need trusted individuals, as I keep on saying, to help with that digital transformation journey should make doesn't disappoint, go reach out, please do that. Also, the industrial talk, expanding ecosystem, it is a platform that celebrates you each and every day, you need to be a participant in it. Because we need you to collaborate. We need for you to continue to innovate, you need to continue to solve problems. And that is a collaboration, conversation. So industrial talk is here for you. Go out to industrial talk.com. Connect with me. See how we can get you on the podcast, have a conversation or two. It's wonderful. And we truly appreciate what you do in industry, in manufacturing in oil and gas. And I think there are a lot that just amplify your message. All right. Homework Shamik Mehta, you got to reach out to him, connect with him. All right, be bold, be brave, dare greatly. And you're hanging out with Shoemake and others within industry and you're gonna change the world because you are. So that's what you're all about. Thank you very much. Once again, for joining industrial talk. We're gonna have another great conversation from IoT solutions World Congress Barcelona, you can bet on that.

The post Shamik Mehta with Hitachi Vantara appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at the Digital Manufacturing Summit and talking to John Harrington, Co-Founder and Chief Product Officer at HighByte about “Improving operational data quality in less time across your enterprise”.  Get the answers to your “DataOps” questions along with John's unique insight on the “How” on this Industrial Talk interview!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2022. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

JOHN HARRINGTON'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/john-harrington-142906a/

Company LinkedIn: https://www.linkedin.com/company/highbyte/

Company Website: https://www.highbyte.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM:  https://www.neom.com/en-us

Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html

Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/

Industrial Academy: https://industrialtalk.com/industrial-academy/

Industrial Dojo: https://industrialtalk.com/industrial_dojo/

We the 15: https://www.wethe15.org/

YOUR INDUSTRIAL DIGITAL TOOLBOX:

LifterLMS: Get One Month Free for $1 – https://lifterlms.com/

Active Campaign: Active Campaign Link

Social Jukebox: https://www.socialjukebox.com/

Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader):

Business Beatitude the Book

Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES…The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES!

TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES!

Reserve My Copy and My 25% Discount

PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

data, problem, asset, manufacturing, collect, people, pull, systems, analytics, industrial, case, chief product officer, traceability, create, john, vibration sensor, facilitate, high, solve, scaling

00:04

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go.

00:22

Well, welcome to industrial talk. Thank you very much for joining the number one industrial related podcast in the universe as celebrates industry professionals, all around the world because you're bold, you're brave. You dare greatly you innovate. You solve problems, you're changing my lives, you're changing lives of other people and you're changing the world. Why not celebrate you? We are also broadcasting from the digital manufacturing symposium right here. Chicago, great venue, incredible collection of I want to say professionals that want to solve problems for you. Yeah. They're dedicated to solving your problems. And they're willing to collaborate. Yeah, they're, they're great. They're, they're trailblazers. All right. In the hot seat. We have a gentleman by the name of John Harrington. HighByte is the company. He'll look at him. He's the co founder. I'm looking at his business card. He's the co founder and chief product officer. He is a big week. He's a big cheese. Alright, John, how you doing?

01:24

I'm doing great. How you doing?

01:25

Huh? No, no complaints? None whatsoever. You wouldn't listen to me if I was complaining. What you? Would you listen to me? We'd love it. We love it. Anyway, it comes. Anyway, anyway, the complaining comes we love it. But that's the content. That's what we want quality. Human content. That's

01:45

right. Now that is fluffy stuff. Now know,

01:49

why would you? Alright, you having a good conference? It's been a great day. It's been pretty cool. Yeah. Well, Buzz,

01:57

lots of exciting discussions.

01:59

See, I'm sort of digging it. I don't know why I'm digging it. I was in a big conference. And then I'm, this was sort of more boutique ish.

02:07

It is. It's much more if I could use the term intimate. Because you can talk with people, you can have conversations, yes, you can understand what they're doing. It's not you know, I was talking to someone today I said, I've been in a conference of 40,000 people and talked with fewer people than than this conference today. Because people want to talk they want to learn

02:30

to that's pretty cool. That's that's that's a testament. Yeah. I agree with you. I think it's it's a must. All right. Before we get into the topic, before we have that conversation, give us a little background on who you are.

02:44

Yeah, so John Harrington, I'm the Chief Product Officer and one of the cofounders of high bite. I've been in the manufacturing and manufacturing technology industry, my entire career. First 10 years, I was working in software companies that were in the CAD and procurement space selling into manufacturing. Then I got in spent five years out of manufacture. So really sat in the seat and felt it. And then in the last 15 years, I've been back in software and technology for manufacturing companies.

03:21

Clearly, you're smarter than I am. I wouldn't go there. No, yes, I would you got more hair than I do. And I'll go there too.

03:28

I do have that.

03:30

Much of a high bar right there. All right. So hi, by b y, t YT. Okay, what is the problem you're addressing? Here?

03:44

We are addressing data, the data problem? Data is the challenge. You know, it's great. I did a talk at the show at about 230 in the afternoon. In every talk before me talked about the challenges. How do we get data? How do we get the right data? How do we put the right data in the right person's hands? And then I came in and started talking about how you doing? There you go. That's, that's what Hivites looking to do.

04:15

It's interesting, because you brought up a good point. It's it's one thing to collect data, I think we can all collect data, I can collect data, collect data all the time we can it is how do you take that data? And and I didn't think through that enough, where I was saying, Well, who gets the data? Where does it go? All of that. That's, that's pretty important.

04:36

What problem are we looking to solve? And that's where it has to start. It has to start with what is the problem? Is the problem, a quality problem trying to improve quality on the line? Or is the problem in an asset uptime problem we need to do some predictive asset maintenance so that we can improve our our uptime of an asset so that the line doesn't stop? or is the problem a traceability problem? If we're not collecting data, then we might as well scrap all of the parts. Because it's a regulated approach. It's all about understanding the problem, and then creating solutions to deliver the data to solve that problem.

05:16

So, so with that, are you are we talking about an algorithm? Are we talking about? Where does Where does high bike fit into that whole? You know, model?

05:28

Yep, yep. No, that's great question and models a great term to, and I'll get to that. But you're welcome. You're setting me

05:35

up for success.

05:37

So we call it industrial data ops, which is the preparation, curation and delivery of data for analytics visualization for whatever the use case is. So it's not so much the analytic it's, it's everything that needs to happen, but for the analytic gets the data, right. And it's how do we get the data from wherever it is, and often it's not just, Well, there's a PLC on the factory floor i sensor that I say to people, you know, predictive maintenance. One Dotto was about putting a vibration sensor on a motor and when the vibration sensor went too high, we knew there was a problem. Predictive Maintenance to Dotto was about combining the sensor information with what was going on on the line at that time. Yeah. So that if it goes high, but it's supposed to go high, then we know it's a good thing. But if it goes high, and it's supposed to be idle, then we know it's a bad thing. Predictive Maintenance three Dotto is about combining that with who is the customer that we're producing this product for? What product are we producing? What asset are we producing it on? And what's the the asset history, the service history of that, combining all that data together so that we can really start driving knowledge?

07:07

Okay, so we've got these, these devices out there, whatever they might be, got it, go out here, pub,

07:15

we got a motor and a pump,

07:17

or whatever. And, and, and what you're facilitating is I'm collecting data does, do you get rid of some of the bad data? Does does it have you as like, Okay, we want this data, we don't want that data, let's get and be able to manage the volume because it can be a data tsunami. And I still, it's massive,

07:40

yes, tsunami is a great word Towards Data noise, noise, just data noise, it's too much. And we what we need is, if we're doing predictive asset maintenance on this pump, we want to pull some vibration sensor that we just put on there to it's, it's, it's a wireless sensor that's pushing back over some other network, we want to pull the industrial automation data, we want to pull some information out of the asset maintenance system. But we need to know that the the pump that we're monitoring is, you know, we need to reference that in the asset maintenance system. We want to pull from the SAP system, what order we're working on while we're producing all this. And we want to pull all that data together into a package of payload. Right? So in real time, we can pull data from different systems, package it together, and then put it up wherever you want. The big. Two big things that people are talking about today are moving data to the cloud. Yeah. Azure, AWS in a data lake. Yeah. The other thing is this concept of a unified namespace. Do you heard about the unified namespace?

09:02

No. I mean, I want to I want to now

09:06

unified namespace. A lot of people are deploying a protocol called MQ, TT and MQ to broker on premise. And they're publishing data into it in they're organizing that database on the IC 95 specification. So you have some site level data, like maybe profitability, and then you have some area level data, like what's our schedule, and then you have line level data, like what's the OEE. And then you've got work cell level data, like, what's some traceability information on the parts being produced, and then you've got the asset and we have asset level data. So it's creating this definition of all the different types of data and then placing it in there and then allowing the people in your company to be able to access that by subscribing to the data so that it It really democratizes data within a factory environment or within a corporation.

10:05

So the picture that's in my humble, feeble mind, is my May, you're able to, and I'll use it correct me if I'm wrong. aggregate the data is from various legacy systems, new systems, it, there's just tons of systems out there collecting data, right, and then be able to pull it into a central location, organize it in a way that makes sense structure it for you, for use case, essentially

10:36

transform it, sometimes you need some algorithm on it, simple algorithms, we're not talking to analytics, yet, this no doesn't deliver the data, or the analytic, maybe you need to filter it, or you need to aggregate it for a period of time and then provide like an average or standard deviation. Yeah. So create those data payloads based on what's going to use it and then publish them into a central location for anyone to get access to

11:06

that anyone or any systems within the company security, that's right, get access to this data. And then and then from that, because you've already sort of, for lack of a better term, scrubbed it connected up, yep, put it in the right order, read it curated all of that good stuff, so that whatever systems I have, or what I have in place, it's just like, grab, go, analyze, do the data analytics, whatever that might be, and then be able to spit out a, you know, an answer and answer some sort of solution.

11:38

Now the key is with manufacturing data, we start out looking at historical, to create analytics, we're not but a lot of time, we're looking at real time data. So it's streaming, it's not like in the IT world, they often will have transactions, but in the manufacturing world, we have streaming data, things are changing in real time. And we need to know you know, some data, we may be capturing once a millisecond other data once a second and other data once every 10 minutes, or when the batch is complete. So it's it's critical to to understand those differences, and it's very different than the IT environment.

12:19

Yeah. So that brings up a question of, if I'm collecting data at various rates, and and Do you can you can you take the different sources of data with different time requirements, and paint a picture within your service and okay, I, this motor, to this transformer to this, whatever, pull it together and create a different sort of a different picture. That's the magic that there it isn't.

12:56

Yes, in what it is, based off the use case. Yeah, ultimately, you always have to start with what are we trying to solve for we try, again, quality, asset maintenance. traceability, r&d has some needs for for their own system. So you start with the use case. And that often dictates that not only the data, but the frequency that of the update,

13:21

which then paints a picture that that how I how I'm processing it, is that I have a high level of confidence in all of this data coming in, I'm not being distracted by noise. I am really, and then it's all being driven by the use case, which is all developed at the beginning. Do you facilitate those conversations? Like okay, we got it, let's let's, what what problem are we solving? Okay, I got it. And then you got this, this source of data, this source of data, this source of data, let's look at that. And then you come up with that plan of attack. And then you pay do that.

14:05

So we're a software provider, but we usually facilitate the first few conversations along those lines. So helping them helping the customer understand how to think about this, how to structure it, working with them on the first few use cases. And then, you know, that's actually when the magic happens, because that's when they get excited. Yeah, once they start seeing the data flowing, and they start solving problems. They get excited, and you know, more and more use cases come up and they start using software even more. And you know, it's designed to be highly scalable, because scalability is all this stuff can be done. One use case in simple one device at a time. But when you try to scale that out, do you replicate all of the work the work? The work is a linear scale, in that key is to asset number two should be significantly easier asset number three even easier. And in the same data set should be used, the same analytics should be used if they're like assets. So that's what we really facilitate. That's the benefit of doing this in, in an application versus just custom hacking together some scripts to jam some code up, you know, up into up into Azure and figure it out, best to structure the data, and then deliver it as a payload. And then analysts can understand exactly what they have, and put it to use much faster. So we're, you know, we're saving money, we're saving money in storage, we're saving money and transport, we're saving time projects are scaling faster, and they're actually scaling as opposed to a lot of these projects just haven't scaled the way people had hoped.

15:55

And that's a whole nother conversation. I mean, that's that credibility side of what, I don't think that there's any debate on the necessity to collect data. And it's, it's, it's, it's the how, and what's important, and will I just give, you know, will I be drowning? So once you structure the data, then that data is accessible by Oh, T means executive means whatever,

16:25

whatever their business, any different department within a corporation, and he has access to it.

16:30

Yeah, whatever dashboards, you could probably say, I like red, green and yellow. Green, good, red, bad yellow, better look at it, that type of thing. Yeah, I get it. I get it. I think it's, I never thought about it. But I think that I get it. Because, you know, I've been a part of projects where yeah, we can collect data, then what, what it what are you gonna do with it? What cash? Is it good? And it just sort of implodes on itself? Because, oh, do this anymore. I can't figure it out. Yep.

17:09

There's no use case. The other thing that we hear from people is we, we just want to push all the data up to up into the cloud, and we'll let them deal with it. Right? They say in manufacturing, there is no all in data. There are manufacturing plants with millions of data tags. And of course, with the with the automated equipment, you can collect it as fast as you want millisecond resolution. So there's no all it's not like a database, which with a bunch of transactions, you can literally say, alright, let's just lift and shift a database up into the cloud and just, you need to define what you want. You need to be specific, and then that's when you get success.

17:56

You're gonna laugh, I think it's cool. I'm Ken, I'm not easily persuaded. Oh, yeah. I just lied to you. All right. So listeners out there saying, yes, he's speaking my language. How do they get ahold?

18:16

www.fbi.com or they can email me John dot Harrington high buy.com. Or look me up on LinkedIn.

18:23

You are fantastic. smarter than I am. Which is pretty good. Understand, that's a low hurdle. Alright, listeners, we're gonna wrap it up on the other side, you're gonna have all the contact information for John and that incredible company HighByte. So fear not. So you have no excuse for not contacting John. All right, we will be right back with another great conversation. So stay tuned.

18:47

You're listening to the industrial talk Podcast Network.

18:53

All right. Once again, thank you very much for joining industrial talk, as you could tell by the noise in the background, we were on site at the digital manufacturing symposium. And that was in Chicago. And it's a great event, you got to you got to put that on your calendar for next year. Absolutely make that happen. Because you're able to connect with individuals and companies that are truly committed to this digital transformation of manufacturing. And quite honestly, it's a must if you want to create a build business that is resilient, definitely, digitally transform it. All right. And also thank you to John Harrington and team HighByte that's being y t. E. Put that down on your things to do to connect. And if you go out to high buy.com, you'll find this guy just read guide about data modeling guide book, and it's best practice if you need it. You need to be able to navigate these digital transformation waters. It's important and it starts with insights in this guidebook is absolutely right there right there. So anyway, go out to industrial talk, get engaged, be a part of this expanding ecosystem. It's it. We want to collaborate. We want to innovate, and we definitely want to educate. And that starts with you. Thank you very much. So, a people will be brave, dare greatly hang out with people like John and you're going to change the world. Thank you very much for joining once again, and we're going to have another great conversation shortly. So stay tuned.

The post John Harrington with HighByte appeared first on Industrial Talk.

On this week's Industrial Talk we're talking to Prith Banerjee, CTO at Ansys about “Simulation Based and Hybrid Digital Twins”.  Get the answers to your “Digital Twin Simulation” questions along with Prith's unique insight on the “How” on this Industrial Talk interview!

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

simulation, twin, digital, data, people, model, talk, asset, predict, scott, industrial, industry, crack, jet engine, ansys, preventive maintenance, world, bridge, abb, data analytics

00:04

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go

00:21

Alright, welcome to Industrial Talk once again, the number one numero uno industrial related podcast in the universe that celebrates industry heroes all around the world, and companies and companies put that down. Because you're bold, you're brave, you dare greatly. Absolutely, you innovate, you solve problems, and you're changing lives. You're changing the community in a well, changing the world that come on. That's why we celebrate you. That's why you're cool. All right, in the hot seat, we have a gentleman by the name of Prith Banerjee, CTO. ANSYS is the company we're talking digital twin, but we're talking about the ability to simulate using data analytics simulation, and honing in on that answer. Let's get cracking. innovation, innovation, it's cool stuff, right? And it is necessary. And if you're not in, if you're not doing your homework and getting in that, or talking to trusted sources about innovation, technology, and whatever it can do and how you can leverage it. I asked you to do it now, right? Industrial talk has trusted individuals go out there and just begin that journey. Have that quiet, have those conversations because you need it. You just do. We need for you to be resilient. The world is changing all the time. And you need to leverage technology and innovation and talk to trusted people to be able to create that business of resilient because we need you. We need you big time. Alright, when we start talking about innovation, I've got two sponsors that you need to check out. Big time. And because it's cool, so AI dash, right, go out to AI dash calm and they're able to use the technology satellite specifically to help you with your vegetation management, right utility, vegetation management. As an old crotchety, crusty, journeyman lineman, I knew how I had to trim trim trees, and it was all reactive. Trust me, it was reactive run out there trim, oh my gosh, there's another one. There was really you tried to make it sort of strategic. But now he never has he got run out there, grab the bucket truck, trim it boom, move on. Here is a here's a solution, a iDASH that looks down on your service territory and says, Yep, go right there. Go over here, trim that tree. Yep, go over there and not dunk over there. That's fine. And that good. I mean, that's that is deploying your capital going in your money in a way that really benefits us the consumer. So that, that the service stays up and running and you know, delivering the power that we need AI dash, they're leading the way that satellite AI, vegetation management, simplified baby. Alright, and the other one is Neil. So you go out to me on.com. And I have this conversation all of a time. I talked to innovators, I talked to technology delivers and service providers and everybody and we're talking about digital transformation. We're talking about AI when talking about quantum computing, we're talking about all of the topics that are really a buzz today. And the reality is, is that here's Neil, they're going to put it into action. They're creating a community of the future. And they're going you know what, you know what the best part about it is, they're going to make our lives better, they're going to go down that road, they're going to get the bumps and bruises, they're going to try to figure out solutions that really are meaningful to us. Neil, right. meaningful to us solve those problems. And we as a as a society, benefit greatly. I'm doing it's cool, don't you? Come on, you got to get all go No. jittery, happy with that stuff. That's me. on.com. They're creating the community of the future and they are doing it. They're doing it. Alright, neon count go out there. Alright. So one of the things that I've talked about is getting the most out of right getting the most out of it. Are you getting the most out of conferences? Are you getting the most out of your your engagements, whatever might be getting the most out of your campaigns, whatever it might be? Are you and ask that question and be truthful about it? Are you or is there ways of being able to improve that engagement, that conference, that whatever it might be, and I'm here to challenge you there? There are strategies, there are solutions that are out there, and one of them is okay. People ask me Scott, why do you why do you podcast Well, one, it's fun. Yeah. And and it's, it's available for everybody. But one, it's fun. And two, I get to talk to

05:11

leaders around the world. And these leaders are movers and shakers, and they are at the cutting edge of thinking and deciding what's good. You need to be there. You need to earnestly and and I mean, earnestly, there's ways that I'm going to continue to sort of add to this, but at a minimum, look at creating a podcast. And I have a I have a program out there that says, why you need a podcast, and it takes you putting every step of the way, right. But the reality is, is that if you want to get the most out of something, have multiple touchpoints, and an engagement, that that you can offer to your prospects, your customers, whatever it might be, bring life back to a blog. There's no better way. There's no better way of being able to do that. Yes, yes, there's a lot of podcasts out there. What we do at industrial talk is we we recognize that there is this fragmentation that exists out there, right, there is podcast over here, podcast over there, and so on and so forth, great content, they're great content, their solutions here, right? What do we do? Well, I'm I'm, I'm in a game of consolidating that I'm in the game of trying to bring all this great thinking together so that the industry, the community, the ecosystem, has a place to go and says, I want to know about cybersecurity. From a trusted individual, right, they're easy, right? And because typical topics tend to be very niche, a, you know, it's it's, the reality is you tap out the opportunities there. So you need a community to be able to be a part of flight information, to be able to be impactful. And have your dog God message be heard. He got to have it heard, right. It's got to people got to listen to if they don't like, does a tree make a sound when it falls in the forest? If you're not there? I don't hear it. I'll hear it right now. The same thing exists with your voice. You got to do it. And we'll talk a little bit about but I just tell you just go out to the well, this podcast and other podcasts will say why do you need to do a podcast? You got to do it. You got to figure it out. Contact me. I'm on I'm on a dock on book I am. I'm warm and fuzzy and cuddly. Maybe I can be more cuddling anyway. Alright, let's get going. So what's interesting and had a great conversation with Prith. And what's interesting is the the ability Yes, we can collect data, it's all good. Click, click, click, click Collect. But what about that simulation component? Right? It's great. Got all that data? Let's simulate what's taking place what simulate what might happen or whatever, and be able to, without a doubt, begin to converge the data and simulation into a true cogent response or information on when you need to perform maintenance, perform whatever corrective action, whatever it might be. Simulation is, it was great talking to Perez because he's you could tell he's pretty passionate about the whole thing and rightly so. Rightly so. Alright, let's get cracking. You don't want to hear me a moron. Here's Prith talking about digital twin but really simulation enjoy. Welcome to industrial talk. Thank you very much. Broadcasting from Palo Alto. That's where he is coming from. If you're out on the video, you'll see that there's plenty of sunshine happening there. Anyway, how you doing?

08:51

They're very good. Thank you very much, Scott for having me.

08:54

I'm excited about this conversation. Okay, listeners, we're gonna be talking digital twin. And you're saying Scott, I want to talk? Yes, you do you want to talk digital twin. But more importantly, I think Perth is going to bring a wealth of knowledge that you're just going to be dazzled by man. I know he is. So brief before we get going give us a little sort of 411 a background on who Perth is.

09:15

Sure so. So I'm Prith GMs Chief Technology Officer at ANSYS. ANSYS is a modeling and simulation company. We are a company of about $2 billion in revenue 5000 employees we help provide solutions to our customers in terms of when they are trying to design products. We enable them to design develop the most amazing products in areas such as automotive, or aircraft, aerospace, or manufacturing energy and so on. So that's what MCs does and my role as Chief Technology Officer is to set the long term technology strategy for the company around areas is AI machine learning high performance computing? digital twins?

10:03

Um, so you just you just threw out a hyper comment. What was that?

10:10

High Performance Computing high performance?

10:12

Oh, yeah. Yeah, I'd like that. See, you're you. You're sitting in the seat where a lot of people want to sit just because you get exposed. I mean, you must see a lot of innovation just coming. I mean, just constantly evaluating looking. You having a conversation around innovation and the impact it has on industry, society. I mean, it's pretty cool. You're living a dream, you have the

10:39

most fun job at MCs, I'll tell you, I, we have 45,000 customers. Every day, I talk to sort of CTOs of different customers across different verticals from aerospace. Like today, I had a meeting with a CTO of a medical device company yesterday, I remain meeting with a 5g company. So I'm learning about the sort of the future trends in these different verticals. And then from my own team members, right, I get to learn about the newest coolest technologies of AI machine learning applied to simulation or high performance computing, or digital twins or, or prime meshing, it is a fun job. And yet, here's

11:18

it and I've never seen it. So there's, there's, there's such a speed of velocity that's happening out there. And it's, it's, it's, it's exciting. But man you are, that's pretty cool. So let's start like diving into that. Let's dive into digital twin. Now, for the listeners out there, give us a little just what is a digital twin, and then we're gonna go into some of the challenges and opportunities that exist within that technology.

11:46

Absolutely. So in digital twin is a virtual replica of a physical asset. So let's say you have a jet engine of a plane, right. And that jet engine originally gets designed in a CAD tool, right? You say here is an engine, he has all these blades, and so on, and you design that jet engine on a CAD tool, then you actually manufacture that jet engineering gets installed on a United Airlines plane and this jet engines flying around. And so right, that is a particular jet engine, now you try to make a model of that engine. And oftentimes, people confuse, oh, you have a simulation model of the engine, that's a digital twin. That's not that is just part of it. So a model of a physical asset, like a jet engine, is one thing. The other thing is there has to be two way information flow between that physical asset, the jet engine, and the model. And that's what makes it a digital twin. So you have the jet engine, you put sensors on a jet engine, right, and you have you collect all those data for the sensors, you upload to the cloud, or whatever you are pulling that information. And using that data that you have from that jet engine, you try to make the model of the jet engine, as accurate as you can write with respect to what is in the real thing. So it's like a virtual replica. So I'm praying, I have a model of it. And this model of it keeps getting updates right here is with really excited, so the excitement level is going going there, right? Bridge temperature is what 98.4 Right? So it's constantly measuring what is happening on the real asset, and updating the model at the same time. So a digital twin is not a model of a jet engine. It's a model of a particular personalized model of that particular jet engine. Right? And how that is going on in time. So this is something that NASA used many many years ago when if you have seen the Apollo 13 The wonderful thing sort of the the picture that the movie about Apollo 13 Right when that that Apollo 13 had an accident, right? Yeah, people in NASA in Houston, right? Hey, Houston, listen to his to Right. Um, those engineers at NASA actually built a digital twin of Apollo 13. And he said, Oh, if you do these things will happen. So essentially the, of what was happening and sent all the instructions to the astronauts, and that's how they got in there. So she

14:24

did that. You just brought it to it. And I guarantee a lot of people are listening is like, yeah, Apollo 13. I remember him sitting in the capsule, switching and doing everything and making sure the amperage didn't, you know, whatever it was, whatever that target was Do this, do this do this. But that was that makes

14:41

complete sense. What was happening in Houston, right? Yes, a physical asset out there in space. And they had a model in Houston. And essentially all these scientists were trying to do stuff. What if this happened, this will blow up. They said okay, this would work. And they send those instructions and that's how the astronauts are brought back. So Go digital twin back in so long ago, right in the in a but essentially, the digital twin technology has come a long way since. But that's what digital twins are. It's a model of a physical asset with Two Way information flow between the user and the model.

15:19

And why is that important? It just gives me the individual able to look at the, the, the the characteristic of that asset that that real asset in a digital environment and see what's happening. And then I can I can, I can tactically move forward in some decision making or whatever it might be.

15:41

nicely. So let me give you an example. So we, we all rotate tires in our cars, right? We rotate tires every 5000 kilometers, miles. Why is that because all the tire companies have seen statistically, if you drive your tire out on a normal road, normally normal driving, your tire will wear this much any and this is going to happen. Except if it breaks driving crazily on us 101 in Santa Fe with lots of I probably need to rotate my tire every 3000 miles, right. So that's personalized driving. So you take the statistics of all possible cars, all possible drivers. And that sounds people say you should change your oil every 20 10,000 miles and changes. That's called preventive maintenance. Right? So you Why do you do preventive maintenance, you replace your oil, replace your tire, etc. So that your tire does not burn your engine doesn't conk out in the world of so there is this preventive maintenance that people do Now imagine if you could predict exactly when that engine would come. So just the day before you replace the oil, that would save a lot of money yet question is can you predict accurate? Yes, see, and that's what the digital twin comes. So the what the digital twin does is you have the physical asset, the engine or a car or medical device or whatever, right? And you are monitoring it and you are getting real time information, as opes is about to fall sick. So we humans, we fall sick, right? Before we fall really sick, you get a temperature, you can oh my day, I'm feeling really lousy, I'm having an A. So those are signal area about a false and then when you get one or three temperature you are boom, right? So imagine if you could sense things around you, you could do predictive analytics. And that would be huge. Because suppose you have the data center for Google or Amazon, imagine that, that data center going down, that would create tremendous waste, right? Five minutes of downtime on Google, or Amazon would be hundreds of millions of dollars of thing waste, right? If a power grid goes down lectricity goes on tremendous waste. So people in these essential industries, there are critical infrastructure assets, they don't want them to go down. So what they do is they try to predict when this is going to fail, and before it fails, do the corrective action. So the real deal here is can I predicted accurately

18:18

that even see that is because I lived that right? I was in that world, I was in the world of maintenance. And when you spend a maintenance dollar up here on the financials, it's $1 Down on the bottom, right. And if you could sweat the asset, and sweat it in such a way that you know when to perform that maintenance before it catastrophically fails. I've saved that much time, that much money. It's and you don't have a catastrophic failure that could put you out for who knows how long you know, whatever it is, how do we get there prep? There's that we've been having that conversation, people understand the value of that predictive capability. When do we really start to see it happening commercially?

19:14

So I will actually tell you sort of the first the technical challenges then the business challenges so the word again, again, there's this thing called the Digital dream consortium that I am a part of and there are some founding members I Microsoft and GE and handsome so right so I've been in this business for for some time now I've sort of lifted and so on or prior to MCs I did not tell you. I used to be CTO at ABB CTS right electric and when I was on those companies, I was helping build digital twins of the assets of ABB and Schneider Electric right so they have a transformer for ABB. You collect all the data right from sensors and you just by collecting data, you try to build a digital model of that transformer in the normal business havior and the apps as soon as it starts getting signals of abnormal behavior is out bad things are happening. Shut it down. Right? So the most of the world uses digital twins based on data analytics alone, right? So yeah. And they collect lots and lots of data, right sort of

20:18

tsunami, tsunami

20:21

of data from those data. They I mean, they use AI machine learning techniques. i The older the world knows about AI machine learning you you train those, sort of these, these convolutional neural network, CNN models of the 60s neural network. So there's a lot of work that people have done in this community using AI, ml, CNN, etc, to build these digital these digital twins based on analytics alone. Now, when I was at ABB, and Schneider Electric, we used to do all those things. And we found that you know what, it was not that accurate. So, yeah, it said, 70% accurate. So he said, Well, 70% is pretty good. You have a million dollar asset, you're 70% accurate means you made a 30% mistake. 30% mistake is $300,000.

21:05

That's, that's a lot of money. That's

21:09

a lot of money. So this is what the challenge was. So in the industry, people said, Oh, if you did pure analytics, right, it's not doesn't look good, does not always work. Now. Analytics works in cases, where you have enough data on the use case you're looking for, right? So four frequently occurring events, data and this goes well, for infrequent events, you cannot predict it, let me give you a very bad example. Space Shuttle Challenger exploring how many times has a space shuttle extended once. So you can get all kinds of data on space shuttles based on and so on, he would never be able to predict when that space shuttle would explode, right. So that is an infrequent event. So when an event is happening all the time, right? You have little things that are little non bolts or whatever, there are sort of breaking down in a in a this thing. frequently occurring events, a IML is great at catching infrequent events, you cannot go there. So this was my aha moment. Oh, okay. So what can we do? Therefore simulation, so now all around us, is governed by Singlish. governed by the laws of physics, which get modeled really, really accurate. Let's imagine you have a bridge. And you're trying to predict when that bridge will collapse, right? So that you can shut down the road, right? So you put all kinds of sensors on the bridge? And you say, hey, is there a crack on the bridge or not? So first of all, you can say, How long do bridges last 30 years. So he said, predict preventive maintenance on the bridge every 30 years, every 30 years, you go and fix the bridge or whatever. That's the preventive maintenance way. The IoT way is to put sensors on the bridge to see is there a crack on the bridge or not? Right? So let's imagine that there are cracks on the bridge, I said, Here is a crack that is 12 inches long today. Now you have no idea where that crack would go next week. Aha. But if you had simulation using say structural analysis, finite element analysis with ANSYS tools, I am telling you, Scott, I can predict with 1000 cars going on the road with this kind of speed and so on, what is the stress sprayed on the bridge? And if and if there's a crack that is with steel pillars and so on with is 12 inches, I am predicting through simulation that this crack will grow to 18 inches in a month through simulation.

23:52

So if I did that through simulation remand as I said it pure simulation, I would say this crack which has 12 inches long images tomorrow 44 inches at 36 inches in the crack, I will predict through simulation alone that the bridge will crack in a month. And that is a prediction. Through simulation alone, we have found out that the accuracy of this 70% goes up to 90%. No way. Okay, so now you have this million dollar part with physics based simulation. We have a tool called Twin builder, we were able to increase it from 70 to 80% over 90%. So that million dollar part your waist is now only 100,000. Here's the only 100,000 and still adorable. So that's where we have this aha moment Right? Where we said let's do hybrid digital twins. Let's combine that data analytics with the physics so now I'm going to bring it together whether example, here is this bridge, we had a track we had a crack which is 12 inches long, right to data. I measured it through to data analytics Right. And I predicted it will be 18 inches long a month from now. But a month from now I take the measurement, and the crack actually was only 60 meters long. So my simulation model was making a prediction, it was going too fast. So my data is a go slow, so it goes slow. Or, for example, that actual measured crack was 24 inches long. So that means my simulation was going slower. So by getting a, a updated information from that, that's why I say remember that the two way information flow, I pulled data from the bridge about the size of the crack. And I made my simulation model more accurate, synchronized with the real thing. So as I change the rate of crack growth, right, instead of making it 18 inches, I cracked it to eight, six inches, or 24 inches, whatever is going on the next month, when I read it, I will be a little more accurate. I'll say it should be 32 inches. And next time I say no, it should be 31. Oh, so it slowed down even more. So through this hybrid approach with a combination of data analytics, and simulation. Scott, we have shown data that the accuracy goes to 99%.

26:18

No way. Dan can, can you because this, this is just cool stuff. Don't get me wrong. I think this is cool stuff. Can you take that bridge analogy and you're you're you're honing, you're tweaking? You're you're zooming in on accuracy by data and simulations, and you bring it all together? Can you take that and say, Alright, this is it. This this bridge is in Texas, let's go to, you know, Florida, and and sort of take that learning that, that that simulation and apply it. And again, yes, tweak, tweak, tweak different weather patterns, a little bit more speed of the cars, whatever it might be, but be able to use it there too, as well. Absolutely. And

27:05

so just like sort of just the AI to like Siri, right, your your, your little tool. I mean, if I saw Siri, when it listened to you, Scott, you have an American accent, I have an Indian accent. But Siri, after listening to me for a month, it gets pretty good, right? When I say go do this, I mean, so the machine learning things get better and better, the more data it gets too similar is hybrid digital twin get. So there is something you can do with simulation with this basic version. But the more data you give, the better the model becomes. And this is sort of the state of digital twins that we are I am seeing from from ANSYS. And I'm talking to lots of lots of customers across different verticals, we have got sort of applications in industrial flow networks, working with oil and gas companies, applications in in, in electrification, with battery systems, and so on applications in HVAC, and buildings and so on tremendous opportunities across all verticals,

28:05

where does it end? And when I say that, let's say I am, I'm at 90% accuracy, I can measure it, I've looked at it my simulation, Mike data on there, and I'm tweaking, and then I put more time, energy and effort, I'm at 95, and so on and so forth. There's a point where it's like, Okay, we're good, we're good. And any any additional incremental benefit is just like, minuscule.

28:31

Yeah. And so that is sort of it is the law of diminishing returns, right? You plot a graph, and you see keep seeing, making chimey, at some point is flattening out. And so it really depends, right? For that particular engine, or wage or flow network, or valves or whatever, when you see the law of diminishing returns, you're not really getting incremental stuff, right? You sort of stop there like that, that's, that's what we have done.

28:58

And and, wow, it the applications are quite frankly, endless, because you get it to you get it to the point where let's say it's a motor, right? You do the same thing data simulate and and I and your analogy of Apollo 13, I see a guy in a capsule running a simulation, trying to get it just right. The same thing exists, you could be on that asset, no pump, motor, whatever it is, but you can apply it and it might be different in Texas as it is in Maine, right is because of the different weather whatever it might be different application. But

29:35

absolutely, yes. Now, let me tell you, I talked about physical assets. But you and I we are not we are not just physical asset. We are humans. Right. So let me talk about the opportunity of digital twins in the healthcare industry, right. So inside our body's most complicated organ, the human heart inside the heart, right you have a sort of this dielectrics signals that pump, right that generate the signals 3070 times a minute, right? So in response to electrical signals, the muscle heart muscles contract. So when the heart muscle contract, the atrium, the blood flows from the atrium to the ventricle, and then the ventricle for this thing, and the valves open up. And so it's just most complicated organ in the human body. Guess what I mean, ultimately, those human models are modeled by physics, right, there's electrophysiology, there's mechanics, there's fluid flow. So we are dancers have actually model the human heart. Now, there is a generic human heart that you can model and you can say, Okay, this is what is going on, we can also model treats human heart with as arrhythmia, right, and I have an irregular heartbeat problem. So it goes into a doctor takes an MRI scan, CT scan, whatever of the heart, and He measures all those things. And for prints specific heart, we can come up with well, if I have a B or whatever you can do that things you can do heart surgery or so on. Right? The other thing is, I mean, you can put in a implant, right? A pacemaker, right? So how will this pacemaker from a company like Medtronic interact with my heart, right? So a Medtronic company, that battery will have to do clinical trials of all kinds of pacemakers, and all kinds of patients and so on, right? But through a digital twin, of a human heart, right? You can create all these different models, and essentially, shorten that time compress it big time, or for trials of a pacemaker, right? And if so, that's kind of where we are heading, we are headed in terms of what is called in silico. Trials, right? Computer based simulations of 1000s of patients. I mean, the future is amazing.

31:56

Ah, see, see that that delivers, that deliver solutions, faster? Health, whatever, the health side, I just didn't even think about, but you're absolutely right. Create a little digital twin, correct. And you can run simulations, but it's, it's individually based, right? It's your heart. My heart is different than yours.

32:19

Like Fitbit, right? The Fitbit is collecting. Exactly you ever saw collecting data on you, Scott? 24/7. So imagine if your doctor had a model of Scott, sitting inside, right, and he's collecting all this data, right? And God bless them use my example, right print a model of prey, and just before previous about to have a heart attack, right, that doctor just two hours before gets to know a signal Hey, there's this the signals are going in the wrong direction previous governor calls of the ambulance and sends an alert before he has a look at them if the value of them

33:00

Yeah, yeah, that's that's cool stuff, my friend. Yeah. Why? What's what's, what's the, you know, the roadblocks? I mean, this is all good stuff. Let's make it happen today. Let's let's make it happen tomorrow. Let's put it that way.

33:15

As you know, Scott, I serve on the advisory board of the IoT solutions World Congress. In fact, we have a conference coming up in May of of this year, right.

33:26

And I put that on your calendars listeners big time.

33:30

I serve on the digital twin Consortium, and still there, this, it's a more than 300 members in this consortium and so on. So people are are excited about the potential of digital twins in different verticals, in manufacturing, in factories, in industry, for Dotto and so on so forth. The thing is got that shiny toy looks like a shiny toy. Oh, you have fantastic possibilities, right? But when you start actually pulling it together, right? You have to collect all this data and so on, and does it work in all the time and so on? So many customers are saying, oh, you know, I like the shiny toy. Let me use the shiny toy in a proof of concept. So you do a proof of concept number one, you waste like three, four or five months, maybe $100 million project and so on the like this. Oh, let's try this other games. Right. There's two POC number two then POC number three. So so people in this our Digital Consortium talk about the POC, Purgatory right. Before moving to scalable systems. So the digital twin thing is they going through this sort of inflection point where it is a lot of promise, but it has not quite seen scalable value across all industries in all opportunity. And that is I think what the business challenges today,

34:53

I agree with you, but it's gonna happen. It's gonna happen it's gonna be in commercial use. It's

35:02

like a $26 billion market by 2025. So yeah, it is going to happen is about a couple of billion, but it will happen.

35:11

It makes sense, right? There's no, I mean, it makes sense. You got to do something like that. That's make far right. We're gonna have to wrap it up. I hate to because I enjoy this conversation. How do people get ahold of your prep?

35:24

So they can contact me at my answers email address Prith.Banerjee at PRI th got Bannerjee ba NERJE. App. ansys.com. That's a NSY. Yes. Yeah, you can search me on LinkedIn, at LinkedIn Dash Grip Banerjee, or a Twitter at Big Banerjee.

35:53

Alright, listeners, you don't have to worry about it. I'm going to have it all out in industrial talk, you'll be able to get a hold of this. This incredible professionals with no problem and don't come to me then Sen. Scott, I can't get a hold for it. You're lying. You're lying out there. Just don't do that. All right, Fred, you were absolutely spectacular. Yeah, you your energy's gone. It's exciting. I love watching you just get all giddy about this stuff, man. It's cool stuff. Good job. Your job is to be a

36:19

professor for 20 years. Really? Yeah,

36:22

that's a hard job, by the way.

36:23

Oh, that's where I, I learned how to help lecture.

36:28

Wonderful, wonderful. All right, listeners. We're gonna wrap it up on the other side. Once again, we'll have all the contact information for prep, and then some. So stay tuned.

36:36

You're listening to the industrial talk Podcast Network.

36:45

All right, thank you very much for joining. Once again, industrial talk. Thank you. Thank you very much for saying yes. And being on industrial talk. Love the conversation. You listeners need to reach out to prif go out to a stat guard go out to LinkedIn, you will not be disappointed or go to industrial talk, find the link, reach out to him. You need trusted professionals that are at the forefront of thinking through all of this Firth is one of them, reach out, do not hesitate to do that. All right. I'm going to continue to challenge you once again. That is are you getting the most out of the bar. The bottom line is we need you. You need to be involved. You need to have that business of resiliency and you need to do a podcast. You need to create one you need to figure it out. Again, go out to industrial talk. I'll give you the step by step everything you need right there right now. No excuse you need to be a part of that. Alright. People Be bold, be brave, dare greatly hang out with people that are bold, brave and daring, greatly industries full of it. You're going to change the world. Thank you. Once again, we're going to have another great conversation right around the corner.

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

ai, data analytics, industrial, people, fortive, reliability, bigdata, machine, problem, business, 29th annual, Fluke, Accruent, fleet, solve, headwind, conversation, called, build, manage, talk

00:00

On this episode of industrial talk, we are broadcasting live from the 29th annual SMRP conference in St. Louis. fantastic venue fantastic event. And we are brought to you by Accruent and Fluke Reliability. Let's get cracking with the interview.

00:21

Welcome to the industrial talk podcast with Scott Mackenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go all right.

00:39

You're welcome. Welcome. And oh, yeah, welcome to industrial talk. We are broadcasting live from the 29th annual SMRP conference here in St. Louis, Missouri. Absolutely incredible venue with wonderful people. And I mean, when you start talking about the leaders in reliability and asset management and in maintenance, they are here from all around the world. It is a wonderful event. I also want to say thank you to Accruent and Fluke Reliability for sponsoring industrial talk. So I, I zip out here and I've got the the website and this is a statement that I just love with Fluke Reliability, provide maintenance and reliability professionals the data to do the job asset by asset wherever they are. Yes, yes. And yes. And then of course, with Accruent, we're talking about gain the insights to transform how your organization manages its physical resources. That is what today's game is all about. That is what we do here. And that's what SMRP And that's what Fluke and Accruent is all Accruent. A current effort a crew and crew and see. See, thank you. There's another one right there. That's a crew and he because he's with Fordham he knows how to sound. Yeah, you better not not me, you know, a crew it anyway. Hey, thank you for joining. Yeah, no problem. It's good. It's it's it's good to have a conversation with somebody from Fordham, which is the parent company, which is the mothership of both a current Fluke reliability to as well you go, Hey, we're going to be talking AI here digital transformation. But before we get into that conversation, because that's an important conversation. Let's talk a little bit about who you are a little background. It was a little 411 on who you're

02:27

sure so I'm originally from Canada. I grew up in Toronto. Oh,

02:33

just dropped. All my my parents grew up in Hamilton gas. And all my family lives in Burlington all of that area.

02:41

Wow. There we go. That's amazing. I don't need to say anymore. No, no.

02:45

Did you go Sudbury? Yeah, no, no,

02:48

I know of it. But I see the girl is probably the this guy. You

02:52

got to see the big nickel

02:56

but yeah, I I got into mechanical engineering as an undergrad, Major. Where'd you go to school, University of Toronto. Okay. And not McMaster, not McMaster, not anywhere else. And it was just because they their internship program was one year of continuous interning in one company, which was exciting rather than doing four months coops was pretty good. But I got into engineering actually, because I wanted to design rollercoasters, that wasn't that's my passion as a childhood, you see it out to build a huge automated roller coasters in my basement, still go to parks all over the country. That was the plan. And things kind of changed a little bit after I after I got into university. And, you know, I really got excited about industrial operations, just really designing big complicated systems, which really goes there's are that are interdisciplinary, require electrical, mechanical, engineering, etc. And, you know, I first had an interview with a oil and gas company after I graduated, which is called Suncor Energy. Biggest one in Canada. Yeah. So familiar with it, and went to go work in in maintenance planning and scheduling out in Fort McMurray for the huge cat 797. Yeah. And commodity 930 trucks example of very large, huge machines. And

04:16

that's that was that oil sands?

04:18

That was oil sands. Yeah, yeah. So we were, you know, that all supports the surface mining operation. And I did that for about a year and a half. And at that time, I was really excited to at this point, go back to GE where had done that one year internship at U of T. And I only wanted to do this rotational Leadership Program, which is called Oh MLP for operations management. And that was the first time in 2014, they brought it to Canada from the US. And I was part of the initial group with some friends of mine that were also interns and so I left and joined that program. And you know, that was a whirlwind of six months rotations in the oil and gas business of GE in the transportation business. And that was doing everything from lean manufacturing supply chain sourcing operations, supervision, and all that. And then I finished and stayed with GE transportation. And that's kind of where I started moving into the analytics side, because they have a very big program around. Analytics coming from fleets of locomotives, and they sell that as a service. By

05:19

the way, if you ever get put this on your bucket list, just look at a locomotive. There's some serious stuff. There's various serious tech

05:28

100 Is that a lot of it's pretty old. But

05:33

I remember I was able to get a tour of an engine.

05:38

Are you kidding me? Oh, yeah. Yeah, try standing next to one when it's running. It's just like, like, it's really It's powerful.

05:45

It's powerful.

05:48

But, but yeah, so I was I was working actually, out of our major customer CP rails office, I was the only GE person in their office managing that diagnostic program for their fleet of 600 plus locomotives. So we're really trying to crunch all that data and figure out what programs can we run for them to improve reliability the fleet and solve systemic issues, as well as identify them before, you know, before some catastrophic issue affecting the fleet. So I was there for about nine months. And, you know, I kind of fell a little bit of an island being just kind of myself and GE and the customer. I was like, where do we go from here. And I started, you know, looking for grad school programs and came across one at MIT, which was called leaders for global operations. And that basically fuse two degrees with which is an MBA and masters in engineering and obviously, pick your discipline. And it was right away, I was like, that's the place I gotta go. This is exactly me. I love operations. I don't want to leave that. But I want to take it to the next level, and explore emerging technologies in the field. And just, you know, be around like minded folks like yourself.

06:55

Yeah, I think that that whole conversation about emergent technologies that that digital transformation, journey, whatever that looks like that industry, for Dotto, it's just ripe with interesting solutions and conversations now, I was still in your, in your resume of who you are. The fact that we're going to talk about AI, where did you get that data analytics, that AI skill set?

07:23

Yeah, actually started in grad school. When I got to MIT, I had no AI background before. I mean, you know, strong in data analysis, but the field really was emerging at that time, and becoming popularized. And by the time I got to grad school, it was full blown. You know, there's the leading edge of research. So you can get exposure, you know, to the fundamentals, the math behind it all the way up to applications to all the startups that are leveraging AI in different ways. And it was just, you know, from nothing to complete immersion

07:56

over that two year period is a i, the way I look at it today versus the way it appears to be going or headed or, or the thought leaders are taking it isn't AI sort of this data, data analytic machine that creates parameters today, where if it's outside here, these are good parameters, anything outside of those parameters, bad got to do something. There will be a point where there is this sort of level of machine learning, but is is AI sort of at that level right now, where are we at?

08:29

Yeah, I mean, that's, that's what you described as pretty much how AI is applied in most situations where you need to learn a set of parameters that ultimately characterize the problem that you're trying to solve those parameters may not make intuitive sense. And that's part of the explain ability challenge. But ultimately, they can be used to generalize a problem. And then they can make predictions based on the data that you've been presented. So ultimately, it's really just a much more complex optimization problem. I always like to explain it as you have kind of a linear regression as the simplest kind of optimization problem that most people know fitting a line to a bunch of points and then making a prediction. And AI really does that in a nonlinear space. That's very hard to visualize.

09:17

Is that the headwind? Because when we start talking about AI, there's a number of questions that come up, one, it's going to take my job, I don't think that I think it's going to make your job better. I think it's going to address maybe some more mundane type of tasks that are currently being done. I think it's a it's a it's a positive, but there still is headwind of organizations and companies listening to thought and for lack of a better term hype like it's going to solve problems is going to do everything it's got to be everything versus what what it can do what is meaningful what what do you see it what's what's the main headwind?

09:58

Well, you know, think that like many kinds of technological, big technological changes in history, it's, you know, that hasn't kind of materialized right? When you think about the interstate highways being built in the US, a lot of people who were, you know, drunk driving carriages or cars for other people, and made a living off of that on doing short distances, thought they were out of a job. And after the highways were built, you know, all these other businesses started springing up in places that you couldn't access before. And that stimulated a new wave of growth granted some pain in between. And the same thing will happen with AI, but it most certainly won't replace people, they have to be augmented by people who can do higher level cognitive tasks, that AI today is just not built to solve. AI is very good at solving prescriptive, well defined tasks. But ultimately, there's still a level of interpretation and other processes around that, where the AI is used and deployed that have to be coordinated and worked on by humans.

10:56

The the AI in general has, is already in commercial use, in whatever capacity and and what comes to mind is how I'll say it, Facebook knows that I like watches, or whatever it might be. And then all of a sudden, lo and behold, I get watches on my stream, whatever it is, that is from my perspective, a function of AI saying, I see that guy's interest or, and I'm going to give more give and make it easier for me to see it. Yeah. In the industrial space, do you find where do we in this continuum? Where do we where do we stand from an industrial perspective?

11:42

Well, the I think what the industrial space, it's a, you're looking at different class of AI problems, right, and a lot of what you're describing, it's recommendation problems, and it's very well suited to e commerce, when you're trying to buy things. In the industrial space, it's a lot of time series data that you're dealing with. And so rather than make recommendations about what to purchase, or what to do, you're you're trying to diagnose or detect that something has occurred or is about to occur. And it's, it's a lot more, I would say, technically challenging problem, especially when you're dealing with the kinds of signals that you're gonna get in an industrial context, much more complex than, say, an E commerce

12:23

scene, it is that complexity that always sort of overwhelms me, because you're absolutely right. If I have an asset that's out in the field, I have a device on that asset, IoT, IoT, whatever, whatever the device is, it's collecting data, it's sending it to some sort of edge solution into the cloud. And that's where we're trained in and hopefully, be able to, maybe have some sort of computing capability at the edge to say, that's, that's dummy data, or whatever that data we don't care about that data we don't care about, we want to let this data go through. And it's, it's an interesting, it's just for that pump. There's another pump, yeah, there's another motor, and each one has specific data that is meaningful for it. And it even gets down to probably to have a pump a is same as pump B, but the performance is just different. Exactly. And you're gonna have to constantly manage that to come up with meaningful tactical, right provision,

13:24

and you have decisions to make, right when when it comes down to doing the number crunching and analysis. You know, some techniques tried to generalize over similar machines, but operating in different environments, and figuring out how to, you know, provide Accruent diagnoses, irrespective of the environment they operate in, which is very challenging, but very useful if you can do that. And then others treat as you said, the machine is all unique, which they are they have their own data streams, even if they're identical machines, and they build systems around each machine. But now you have to be able to do something that scales very quickly across a number of machines, because you don't have the time and resources to do have a complex conditioning and training process for every single machine. Yeah,

14:10

it's it. But but but it has benefits. Right? Can you explain a little bit about the benefits of where you're going with AI and that sort of digital transformation journey? What Why is it so important?

14:27

I think broadly speaking, what you're seeing in the marketplace is a lot of concentration of companies, right? A lot of the big tech giants are ones that come to mind. Yep. And simply the way that that's been abled is through digital business models. Digital Business models have effectively reduced the incremental cost of delivering value to a customer to zero. So if you're Amazon, what's the cost of serving a new customer? Zero. I don't have to build a product. I don't have to ship anything. Nothing, they they just, you know, provide some additional data flow back to in front of my, my site. And that's about it. And so the the, that lack of any cost, but also the scalability, that digital networks offer is amazing. And it's what's allowed this concentration to happen. And so, you know, when you're saying why digital transformation is so important, what you're trying to do is unlock that scalability that is very, very hard to achieve. If you're a traditional industrial business, if you're a traditional industrial business, the organization starts to get very complex as you grow. Right? Imagine GE at its prime had hundreds of 1000s of employees trying to coordinate all these businesses. I mean, Amazon has maybe less than 100,000 full time staffers, and I mean, the scale and footprint of Amazon is far bigger than GE ever was.

15:52

So that is what that is an absolutely rock, rock solid analogy. I had a conversation that Amazon, their plan, and I spoke to the Amiga 4000 delivery sites, whatever it is, next year, building them. Yep, exactly. Come on, I know except to say, no previous,

16:19

you know, in a previous system of managing your business without being able to leverage data assets, that would be extremely complex.

16:28

I wouldn't even know what you could write. But now they do share. That's a great example. Absolutely a great example. So I like that. And what is the what's the pushback, I see that if you're not in the game, if you're not actively in the game, if you're not feeling uncomfortable, whatever it is, and if you think it's, it's a waste of your time, you don't have the right mindset, because it isn't a waste of time. But you have to be in the game. And if you're not in the game, your competition will be in the game, and they will blow your doors off. Do you agree with that?

17:04

I definitely agree with that. I agree with that. And it's the challenges. What you see. So clearly, not everybody sees so clearly, or they do but change is very difficult, very difficult. I mean, transformation is a typically multi year process. With no clear guidebook, and no clear step by step process. And so it's scary, you know, for a lot of people to take that dive.

17:30

We, you must, whether you like it or not, you must. And I think people get distracted by the day to day tactical work that they get in the little firefights that they have to go through. How do people get a hold of you, because that's pretty cool stuff.

17:44

LinkedIn, after I'm actually on LinkedIn, I, I will have

17:47

all that contact information out on LinkedIn. So don't worry about it. If you're saying having a hard time, spelling, his last name, fear or not, it will be out there. So now though, there's no excuse for not contacting me. And I gotta reach out to you did not reach out to you.

18:01

Did you? Did you? Did I did I actually send you a message, Joe? Because Kevin said, Hey, 1130, I said it'll be there at 1130. So

18:10

sometimes it's overwhelming. I don't have an AI platform to tell me, Hey, this guy's important. You

18:15

know, I'll pay for it. If somebody can develop that as well, because like that is tough to manage.

18:21

But I'm not saying that. I likely can. Don't Don't cut me off. All right. Thank you very much for being on industrial talk. Thank you, Scott. All right. We like to also once again thank our crew it did I get it right that time perfect. crude and Fluke reliability go out to a crew and as well as Ookla. Right at reliability, see what they have out on the worldwide web, you will not be disappointed. Great company. Great people. Incredible solutions. Excellent, excellent stuff. And thank you very much for SMRP the 29th anniversary of this wonderful conference. St. Louis Missouri is the place it put this on your bucket list because this is if you're into Oh, he could be an AI man, this is the place to be if you get to be in maintenance and reliability. Boom. Make it happen. Captain, this is the event for you. So all right, we're gonna wrap it up on the other side. Do not fear we will be right back.

19:14

You're listening to the industrial talk Podcast Network.

19:24

All right, his name was Ephraim. He was talking AI he is with a company called Fortive. And I'm telling you right now, right now, right this very moment, you're going to have to find trusted people to have that conversation, that digital transformation conversation and I'm telling you right now, you will not be disappointed with that from also I want to say thank you once again, to a crew and as well as Fluke reliability for sponsoring industrial talk at the 29th annual SMRP conference. Put that on your bucket list. You will not again, fantastic venue wonderful people are passionate about delivering reliability, asset management and maintenance solutions. Alright, you need to educate you need to innovate you need to collaborate without a doubt specially now connect with people like FM and others and you will change the world it's happening now. Get going, do not hesitate. Alright, we're gonna have another great interview right around the corner. So you know, stay tuned, we will be right back

The post Ephraim Machtinger with Fortive appeared first on Industrial Talk.

In this week's Industrial Talk Podcast we're talking to Humera Malik, CEO of Canvass AI about “The Power of Data to Accelerate your Sustainability in your Industrial Operations”.  Get the answers to your “Data Sustainability” questions along with Humera's unique insight on the “How” on this Industrial Talk interview!

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

industry, data, ai, sustainability, industrial, mandate, assets, technologies, scott, creating, world, operations, Canvass, running, plant, workforce, malik, waste, institutionalize, carbon emission

00:04

Welcome to the industrial talk podcast with Scott MacKenzie. Scott is a passionate industry professional dedicated to transferring cutting edge industry focused innovations and trends while highlighting the men and women who keep the world moving. So put on your hard hat, grab your work boots, and let's go all right, another great day in the industrial talk world. This is your woman warm and fuzzy place for all things industrial you industry hero, we celebrate you because you are bold, brave, daring greatly. You're changing lives, you're solving problems and in essence changing. Although world about that, man, you are absolutely wonderful. And this is a no legacy thinking. So do not come to me with your legacy thinking and say, hey, it's got to get some legacy thing and don't even go there. All right, in the hot seat in the industrial talk, hot seat, we have Humera Malik. Okay. And she is the CEO of Canvass. AI. And that is spelled ca n VA s s AI, you got that? Right. And the website, the wonderful website is Canvass.io make a note of that, make a note of that. We're going to be talking on this podcast, accelerating sustainability in industrial operations and a lot more because there's gold in that data. Let's get cracking. Yep. Data. Gotta love data. Right? It's there's so much that can be done with data. And I think the bright, the future, the that whole silver lining type of thing within data is, is interesting to me, geeky ish, and love it because we don't have any issues grabbing, definitely data. Now her stat card is quite impressive out on LinkedIn. You got to reach out to her Humera Malik is the individual. And I'm telling you, she's got mad street cred. I like it, man. I like it a lot. All right, paper and pencil time. The first one out of the gate, we're going to be talking about IoT solutions World Congress, brought to you by IoT solutions World Congress out of Barcelona as well as the industrial internet Consortium. And this event is scheduled for October 5 through the seventh. If you've never been to Barcelona, yeah. Yeah, that's that's a must trip. And the second thing and if you've never been to the IoT solutions, World Congress, yeah, that's a good thing, too. They're going to be talking about IoT, Ai, 5g, digital twin robotics, everything. And one that is sort of interesting to me quantum computing. Hmm, that sounds impressive. All right. The next one, the manufacturing and technology show that is in Cleveland, Ohio. Again, if you've never been to Cleveland at some much trip, great people, great food, great location, great everything. It's beautiful up there. And this is November 9 through the 11th 2021. right around the corner, the sword up is down in November, but it'll be here when you least expected. But anyway, both of these events are important. let's get let's get our lives back in order. Let's just do it. Let's let's, let's take the trips. Let's start learning from these leaders. Because they're there. There's some great stuff in this whole industry for Dotto world that we're we're venturing into, as you all know, it is, but it's just an exciting time to be a part of what we're doing an industry. And that is water. That is oil and gas, that's manufacturing, that's utilities, we had a great conversation of the utility transformation journey, because they're going to have to do it too. They're just going to have to do it. Alright. Humera is on the hot seat. We got a great dog on conversation. I mean, she starts to really lay the lumber and there's, and I could go on and on and on. But I'm telling you, you're gonna enjoy this conversation. So here's your marriage. Humera, thank you very much for joining the industrial talk podcast. Absolutely. I'm telling you listeners right now we're going to I'm going to geek out on this particular conversation. We've been having a wonderful offline conversation about AI about the world and, and really just changing the world and changing the world. Through insights into data. I Humera and the team Canvass AI leading the way. Fantastic. Hey, man, how you doing? I'm doing great, Scott, thank you for having me. All the way from Toronto, give us a little background, little 411 into who you are and why you're such an incredible professional.

04:48

Well, I'm a I call myself a disrupter because I've gone in and picked some of the hardest things to solve in the world I think and it's yet not to a place where I'm very proud. About the industry we work in. And just like yourself, I think we're all on a mission here. And the mission that I've gotten myself in Canvass on is really looking at how we make a difference in the industrial world, and empower the people and augment them to transform the operations that they do in their day to day up in their day to day activities, and empower them with some technologies like AI so that they can take control of their data, so that they're not reliant on anybody else to come in and perform any of the data related functions for them.

05:39

Yeah.

05:40

And we're here to make a difference. But that difference can only be made once to actually take the charge and start calling out what this industry's challenge has been, and how we're going to all work together to transform it.

05:54

Yeah, I'm a big fan of that education, collaboration and innovation. And you cover all aspects of that. And I believe that that is a key to whatever how you want to survive, how do you want to prosper in this whatever next normal? And I I don't know about you, listeners, but I'm getting old Tingley about that explanation. Because I believe the future is, with people like Humera, and others at team Canvass, by the way, I need to make sure that there's clear Canvass is c a n v a s s, make sure make a note of that. And it's dot IO is the website. So anyway, I'm all tingling about this particular topic, because I think there's golden data. And I think that is transformative. And I believe that companies as a whole will tremendously benefit by what your focus, your disruption, your view of how to solve problems. So give us a little background, because I think you guys are thought leaders, I know you guys, your thought leaders, because you're in the game, you're in the game to be able to come up with solutions that actually mined that data. So let's talk a little bit about sustainability and how data can help us with that. Talk to us a little bit about that.

07:03

So one thing I would say is we're thought leaders, but we're executing on it, not just talking about it, right? We're making a difference. That's like, making a difference.

07:13

So noted, absolutely. Put it in in action. Forgive me Humera. totally understand. But I love that because you're killing it, man. You're doing it. All right.

07:25

So what Candace really. So before we get into sustainability, for the sake of the viewers, Canvass AI is really a software platform. And it's on a journey to transforming this industry, it's on a journey to disrupt this industry that has been so scared and reliant on people from outside to give them control of their operations of their data. And so this is really a journey that we undertook about four years ago. And now we're at a place where we see this, this industry just at the tip of that transformation. It's first is about awareness. And then it's about after you what after you've gone through that awareness and recognition is then really about how and where do I go about implementing things like AI. And that's where this industry is, it's at that edge of where it's ready and implementing. And it's not just, you know, the big guys out there, it's not just talking about the fortune 100, we have had the opportunity to see the guys that are in the mid market as well now who are ready, they've actually been running very efficient operations, they're ready to get out of just efficiency, move towards productivity, and eventually into automation. And so that fear is now there. They're getting over that fear. That challenge they have this industry has if you look at you know, any any of the big objectives that are in front of this industry, related to sustainability, related to efficiency, the challenge that this industry has, it still doesn't have a roadmap, how cool You're

08:57

right. You're spot on on that one that is so brilliant and insightful, because you're right. We hear it, we hear AI, we hear edge, we hear cloud, we hear all of this stuff. We hear industry for Dotto, and still, it's just it sounds cool. It sounds good. But I love the fact that you're actually executing I have to ask the question. You said four years ago, you started this particular company ish, give or take a few. What was the dream at that time? What made you say, Yeah, I want to start this What did you see at that time?

09:33

I, I saw a problem I went on to solve every engineer goes out to solve a problem. And without recognizing where you will end up what what irked me and got me started with I was working with industrials to help them basically provide connectivity and help them collect data. Then I realized that that data was becoming basically adjust information For them where they were just, they were good at hoarding that data. But that information that that really needed to be used wasn't happening. Yeah. And then I also saw that even though it was their data, it was the data that the industrial companies own and collect, they still were unable to access that data. All they got was for some fancy charts at times, and trends and analysis. But were they really using all of that data, so that their own workforce could really do something with it. There was no buzzwords in my mind, at that time, I wasn't necessarily looking at it could be AI, it could be other technologies, what I went in to do really was to look at solving a problem. The reason AI becomes important, is because if you look at the industrial world, it generates a lot of data, if you look at, you know, your different figures, you know, like the the oil and gas industry is creating terabytes of data, you know, every day and so that data is so huge in that volume. When you look at large volumes of data, veracity of data, different frequencies of data, what comes to mind, how do I how do I look at that data? And how do I actually start to work with that data, that's where then the technology comes in. And that's really where starting to looking at AI and starting to, you know, look at how AI then can be used to, to look at and transform and work with that data. But then there's a third element to it, you can build all of the AI. But if the people still are not able to use that technology, then there's no point then I've created further more problems to it by making them further dependent on how to no leverage that AI. So where I ended up with was creating an interface between the operator of the plant and their data by providing them an interface where all of the AI was engineered and made available to them in a usable format. I made AI approachable, made AI usable, and made AI available for an industrial operator for a plant engineer for a process engineer for a reliability engineer. So they are empowered to look at their own data work with their data, just like how they have been used to working in spreadsheets, but let's allow them to scale, let's allow them the extensibility so that they can now work with that large volume of porosity, frequency of data, and work on large complex datasets.

12:27

I we're going to talk about sustainability. And there's some targets that are out there. And industry has to be aware of that. That's just without a doubt. And we're going to go down that road. But I have this one question. Because of the tsunami of data because of that the leveraging technology innovation in a way that allows you to look at that tsunami and just pull out what is relevant? Do you pull the data out prior to going into the cloud? Or do you do that analytics and saying, No, no, no, yes, this is data. How do you how do you analyze your data? Where do you do it?

12:56

So we are all about operational data. It's all about the data that's coming out from their edge systems, it could be coming out from their their controllers, it's coming out from the sensors that are basically providing them the information of what's going on. And all that data is a lot of this industry has has actually put in the instrumentations, about over a trillion dollars has been spent just an instrumentation of this data. And now that they're able to collect that data, they're hoarding that data into different operational systems, that could be historians, that cloud systems that could be even from AARP to homebuilt operational systems that data is being collected. And then from an analytics perspective, what these industrials have been doing is leveraging a lot of analytics capabilities to basically look at that data. And that's really related to looking at some trends and analysis. But now what? And so we went in and solved that problem of now what now what do I do? And the next thing is, okay, how can I start using this data? If I have this data? Can I start to look at forecasting what my yield would look like today? What my yield would look like four hours from now, can I start to predict if I wish to change or you know, any of my ambient conditions or any of my parameters? If I can start to tweak, you know, a little bit of the moisture levels? What would happen? What would be the ideal state I want to be running this line on? And so that's the those are the things when the operatives think about they think, oh, that's I can't you know, I don't have the technology, I don't have access into my data. That's where they would tap into, you know, they would bring in some heavy hitter consultants, they would bring in data specialists would come in, and they might have the expertise on the data, but they don't have the subject matter expertise. And that's really where the this industry needed to change the approach and we started to basically put the operator in the center of the universe and say we need to be operator and Scott. There are multiple reasons for it. One of the major reasons is because this industry needs to institutionalize this knowledge, there's a gap of these resources, there is a gap in terms of that expertise that's going to hit this industry in the next decade, because a lot of this workforce is about 30, more than 30% of this workforce is aging workforce. So as you see that shifting out, there's a huge gap that gets created. So it's very important to institutionalize that knowledge and start preparing the organization's for that shift.

15:33

So what I hear you saying, which is interesting, you are able to provide that tactical data for real time action, and that is, operationally I can look at the data, I can make decisions and and optimize my whatever manufacturing asset based off and, and that institutional side where I'm collecting that information. And whether we like it or not, it's going to happen retirement that knowledge out the door, be able to institutionalize that, let's shift gears a little bit here. Let's talk about sustainability. why that is important. From the perspective of AI.

16:09

I think it's one of the key, it's going to be one of the key drivers, it might not seem like it. But if you look at this industry, and you look at sustainability, have manufacturing the industrial side accounts for 25% of the global carbon emissions. You're responsible for 1/4 of the emissions?

16:29

Is that globally? said 25%.

16:34

Yes, got it. And, and out of that 25%, close to about 50, a little less than 50% of that just comes from the manufacturing of cement, steel, ammonia. And essentially, you know why that is because that's all infrastructure that we're building, right. And that's critical. But that is also important to recognize all that infrastructure that we're building is also creating an emission of 45% of the industry's carbon emission.

17:03

It's interesting. And it's one of those things that you need it, you can't stop it, right? You need the infrastructure, but you have to think about it differently. You got to have to figure that out.

17:12

And so if you look at some of the industry stats, it is why, you know, if you look at different industries, that's just one part of it. But if you look at metals and mining, you look at food, everybody is making a contribution there to those carbon emissions. I had some interesting things looking at, you know, we work very much in the food industry to in agriculture is estimated for over 70% of the global water use. It's one of the scar spaces that we would have if we continue on that path. Yeah, yeah. Food chip food supply chain is responsible for another 30% of the GHG emissions. Some interesting fact was that it food waste was a country, it would be the third largest emitting country in the world. Wow, US and China. Put it in perspective.

18:04

Yeah. This is the in we're gonna venture into this is a lot of that carbon being produced as a result of inefficiencies with the assets.

18:18

So, Scott, you have to really break it down. Yes, it's being produced in multiple ways. It every industry is obviously contributing to it in one way or the other in certain industries, over over utilization of the assets, any of the assets that they're running is causing that in certain industries. It's the high utilization of the fuel, because energy being one of their largest consumptions in our business, you would see or, you know, in the oil and gas sector as well. But every bit makes a difference for Scott, if you look at the amount of waste that gets generated through a production line and take, you know, any of the industry, take metals, take cement, or take food, if they can start to control the waste throughout the line, they can start to make a difference. I got some is not the theater, some somebody threw out some random stats of May. And they said, one of the large food manufacturers that develop that is producing the chips, they end up creating more than $30 billion worth of waste, and all that waste goes into landfills.

19:33

You would think that there's a financial incentive to be able to make your organization your operations as efficient as you possibly can, right? Makes sense.

19:42

In in most traditional ways, as they look at Yes, they look at energy as a huge cost. And they're all kind of optimize that. They look at raw materials as a huge cost and they're trying to optimize that is everything else on part of the CFOs agenda is yet I would say not really Scott, let's call it agenda is only looking at how am I looking at my margins today, and how we're going to improve those razor thin margins tomorrow so that I can sustain this business. And that's why this industry has has been always in a firefighting mode. And one of the big things that why I call it a movement is because this has to start transitioning from the top to the bottom, the mindsets have to start shifting the mindset about I'm always in a firefighting mode. That's because we're continuously doing the same things. If humans are looking at things and saying good and bad, we haven't get moved into the 21st century because a human has been doing that forever in this industry. Oh, it's good, it's bad. Let me get brambles at random sampling. And I'm going to find out what what's going on. That's not how this industry should be running. We have enough tools and technologies. And we have made enough progress, that we should be able to now leverage tools and technologies for that purpose, we should be able to leverage, you know, either platform like ours, where or technologies like this, where they can tell you anything before even that happens. So we're not contributing to the sustainability challenge that we're faced with right now. We shouldn't be able to control this well in advance not find after the fact. We've still been we have been and we continue to be operated in a reactive manner.

21:16

It's a human it. I mean, you're hitting on all the points. I mean, without a doubt. How does and how will AI help us with sustainability? If I'm a company?

21:28

Who also there? There are three ways of looking at this. And I learned this by from my customers really, it's not that, you know, it's it's earth shattering revolution that I'm going to do, I've actually learned by working with these customers, right? So what are the key sustainability is achieved in three ways. One is you look at your current operations, and you optimize that, that's where you can start to already gain and be improving this is you can already start to gain 20 to 30% off efficiency gains, just by optimizing your current assets and your current operations. The next thing that comes in that is the next phase that comes is then you go from optimization to looking at alternative sources of energy that can further now go from, you know, if you were at that 20%, you can start to further gain 30 to 40% by looking at alternative sources, and then over the course of time also start to embed New Tech, new technologies, as your as your assets are aging, and you're starting to replace this, what this industry would end up doing is start to bring in more energy efficient assets into into play as well. But that's actually the roadmap of how you gain sustainability. One of our customers just in one of their one of their plants, actually, it's a food ingredient manufacturer, one of their plants, they started to look at how they were generating energy through their cogeneration assets. And and realize that they were always running them at 100% efficiency, even when the plant demand didn't require them to run the assets at 100%. Because you know, it's still hard to keep on going back and forth,

23:03

to cycle those things down, up and down.

23:06

And then that requires, you know, more resources. And that requires then repeated intervention, that just they didn't have the ability to do. So that was the easiest thing. And then they recognize that and that's where, you know, it's I'm talking about a very simple way of how you start to optimize this. So they started to look at them, how we can use data, so that the data can tell us if the plant demand is X amount, how to run each of these assets that's supplying the energy. So they actually set that and they connected the, the the platform, and they have been able to they've been using it now for the past almost four years. And what they have been able to do is now create a completely closed loop system. So that the plant feeds the data and tells our system of what the plant demand is the system then connects back into these assets and say run asset one or run boiler one, that 40% efficiency boiler to at 70% don't need to run boiler three because the plant doesn't need it right now. And then takes that message back into the control system. So there's no human in the loop, right? And runs that system. And it's been running it for the past, you know, four years now.

24:13

And probably put in a lot of coin in the pocket too, as well as that whole sustainability. I mean, it's it's a it's truly Win Win everywhere.

24:21

I they have been reporting that year over year there has been they have been able to reduce their fuel consumption by more than 4% just by looking at the small assets I'm talking about. Yeah. And then over 20 million pounds of carbon emission reduced every year.

24:39

So So why what what are the forces that are requiring businesses to look at this? What what regulations are going to be in place? What what what are we doing here? Well, so

24:54

one of the mandates really is from the industry, if you look at the mandate is really to be achieved. Certain carbon efficiencies and or net zero emission mandate for 2030. And then further into 2015, where everybody is looking at, you know, zero carbon emissions zero,

25:10

by the way, I want to make sure that it 2030 is just still right around the corner, FYI, it's only nine years away. So if you look at 2030, and just go on, I got it. I know, it's nine years away, it's just like, right there, you, you know, you're gonna be on 2030.

25:25

That and that's why I talked about this as a as passionately as I do, because I think we all need to get on that on on that train of passion for this, then it builds on the passion project into the CFOs mandate. Now, the CFOs mandate, the CEOs mandate, it shouldn't just be in the operations team looking at, you know, how we're how we're improving on our continuous improvement projects. No, it's no more about that. It really needs to be as what are we doing about all the waste? What are we doing about energy? What are we doing about water? And we do this in a combined way. All contributes towards sustainability, right? Because right now, it's department by department. It's very segregated. And that's why a lot of the AI that also gets applied is very segregated. Nobody, nobody has looked at this, how do we apply different technologies that allow us to hit these kind of methods, nothing happens overnight, nine years, that would be gone.

26:19

Like a blink of an eye, I'm just telling you, when you mentioned this, and I'm thinking then you said it's nine years in our off conversation. And I just said, Oh, my gosh, I had the wrong perspective, that's right around the corner. And that's got

26:30

to happen now. Right. And the only way it can happen is when it becomes part of the mandate. It's no more about just a nice to have it's about and they can really those are the few things that can start contributing, how am I going to reduce my water consumption? How am I going to reduce the waste that I'm generating every day? And how I'm going to actually control my energy consumption and utilization throughout these, they can just start simply with looking at those things. That's really where I've seen customers, when they simplify it that way, they're able to then identify, hey, where can I start today? Then where can I go tomorrow? Yeah, that helps them get on that journey of sustainability. It's as simple as that. And I know, it's not easy for them to start to immediately all of a sudden prioritize it. But guess what, if the mandate is about reducing costs, as well, and how you're going to actually look at, you know, covering that labor shortage, as well, all of those things help you there as well. Because what you're going to end up doing is you, if you reduce the waste, you've already started to impact your bottom line, if you can start to reduce energy consumption and control it, that's helping on the bottom line too. And then if you can actually put the operator to control it, that's gonna help your labor shortages, all feeds into those mandates to

27:49

roadblocks in what you're saying. I mean, it's the money, but there that it's there, there are roadblocks. And I'm not saying don't, don't come to me, or whomever and complain about this. It's got to happen, because it's a mandate, and you got to figure it out. But what are the roadblocks?

28:09

So to be to be just very honest about this, Scott, I think one of the biggest roadblocks is the mental Roadblock, oh, it's too hard to it's the myth about technologies like AI that stops people from leveraging it to its full capacity. The other is the siloed transformation approaches. Every group, every organization looking at silo, there is the companies that I see the most successful that we have worked with are the ones that look at this edge scale, you will, you will learn certain places, you will fail at certain places. But the success that will that you will create through this journey is what's going to help you get ready and meet your objectives for 2030 and 2050.

29:00

And it's got to happen yesterday. I mean, you and I share the same sort of, you know, the passion and anxiety to saying, hey, we've got to do it. Now. I don't know why this is, but it is what it is. We have to wrap it up. Unfortunately, I can have this conversation for a long time in America. How do people get a hold of you and say, Yep, I like what she's talking about. Best way to get a hold of,

29:24

you know, just go to Canvass.io. Click on you know how to connect with us different ways to find a demo book a meeting. And that's the best way and you will find that our team, which is a combination of subject matter experts, as well as data people that actually know how to work the industrial data would be happy to work with it.

29:45

Excellent. I like that. Go out to our stack our two men, it's h u m. e r a. Malik. Did I get that right? Malik. I hope so. Ma l ik find her Reach out there too, as well. She's got a great stat card. See? Oh, Canvass is the company. Fantastic. Thank you very much for being on the industrial talk podcast America. It's been an absolute pleasure, Scott. It's been wonderful. It is the number one industrial related podcast in the universe. Just FYI. I think I've oversold it. Alright, listeners, we're gonna, you know, we're gonna wrap it up on the other side. So if you're not, we're gonna have all the contact information out on industrial talk. ca.com. And, of course, we're gonna wrap it up. Thank you very much for joining. Stay tuned. You're listening to the industrial talk Podcast Network.

30:43

All right, a big, big, hearty, thank you to Humera Malik, Canvass. AI is the company go out to Canvass.io. Find out more. I'm telling you right now, if you're not looking into data, as a way of solving some of your challenges. I mean, I like the fact that she brought up the point that it could augment your workforce. And I mean, it's really important, especially today when we have a real tight workforce. She's great. She's a rockstar data Rockstar. All right, again, IoT solutions World Congress in conjunction with the industrial internet Consortium. This event is in Barcelona. It's incredible. Got to put those two things on your bucket list, October 5 through the seventh 2021 right around the corner. And the next one is the manufacturing and technology show. This is in Cleveland, Ohio, November 9 2011. Let's get our life back in order. Let's visit these things. Right. Be bold, be brave, dare greatly change the world. Thank you very much for joining. We're gonna have another great interview right around the corner.

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