Industrial Talk is onsite at IoT Solutions World Congress and talking to David McKee, Founder of Slingshot Simulations about “Deploying simulations to optimize your sustainability strategy”.  Learn about Simulations along with David's unique insight on this Industrial Talk interview!

Some key points from David's conversation at IoTSWC:

• Simulation is a powerful tool that can be used to make better decisions about the places we live and work.
• However, simulation can be expensive and complex, which limits its use to large organizations.
• Newer simulation platforms are making it easier and more affordable for small businesses and cities to use simulation.
• These platforms use data from a variety of sources to create realistic simulations that can help users make better decisions.
• One important aspect of simulation is engaging with the people who will be affected by the decisions that are made.
• This can be done by using simple and easy-to-understand platforms, as well as by getting input from people who live in the area.
• Simulation is a powerful tool that can be used to improve the places we live and work.

Here are some specific examples of how simulation is being used to make better decisions:

• A city in the UK used simulation to help them plan for Net Zero. They were able to use data on traffic, energy use, and other factors to determine the best way to reduce emissions.
• A small business in the UK used simulation to help them decide when to open their shop. They were able to see how traffic patterns and weather conditions would affect customer flow.
• A charity in Africa used simulation to help them determine the best way to provide clean water to farmers. They were able to see how different types of water treatment would affect crop yields.

These are just a few examples of how simulation is being used to make better decisions. As simulation platforms become more affordable and easy to use, we can expect to see even more innovative applications of this technology.

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!

DAVID MCKEE'S CONTACT INFORMATION:

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

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

Company Website: https://www.slingshotsimulations.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 David McKee with Slingshot Simulations appeared first on Industrial Talk.

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!

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!

ERICK BARTUSEK'S CONTACT INFORMATION:

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

Company LinkedIn: https://www.linkedin.com/company/apache-corporation/

Company Website: https://apacorp.com/

TOM BONNY'S CONTACT INFORMATION:

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

NATE CLARK'S CONTACT INFORMATION:

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

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/

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

Trend Micro: https://www.trendmicro.com/en_us/business.html

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

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 Marc O'Regan, CTO EMEA with Dell Technologies about “Responsible Computing Consortium Framework for Successful Implementation”. Get the answers to your “Responsible Computing” questions along with Marc'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!

MARC O'REGAN'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/marc-o-regan-0597491/

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

Company Website: https://www.dell.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

data, technology, public cloud platforms, people, mark, iot, innovation, edge, ecosystem, devices, consortium, constructs, industrial, industry, iot solutions, dell technologies, dell, collaborate, digital transformation journey, ideation

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 industrial talk and supporting this platform that celebrates industry professionals all around the world, because you are bold, brave and daring greatly, which are solving problems, and you're making the world a better place. That's why we celebrate you on this podcast. Every day. Now, we were on site, you can help tell by the noise in the background at IoT solutions World Congress, if you have any passion for digitally transforming your business, this is a must attend event. It gives you the ability to educate. It gives you the ability to collaborate with industry leaders. And it definitely gives you opportunities to see the innovation out there to be able to transform your business and create a business that is resilient to the future. So it's important that you do that. And this is a fantastic venue with great people to participate in. You'll have all that information out on industrial talk to see how you can get involved. That's that's one, too. We were talking to Mark O’Regan on this particular podcast. And he is the CTO EMEA Dell Technologies. We're talking about responsible computing. We're talking about how Dell and his team there are involved in responsible computing. He brings a plethora of wisdom and insights into what that means. And it was just an absolutely enjoyable conversation. So in here, here's Marco ring

02:56

are you having a good time? I'm having a great time. I love Barcelona.

03:01

Yeah, love coming here to meet like minded individuals, people and friends. You and Oh, yeah. See, this is what's so fun about it. What gets chirped about around here is is this is there's there's so many new use cases, right? Which means so many new technologies, which means there's this collaborative type of spirit because they're saying, Yeah, I got this piece of the pie. You got this piece? If we do it together, we do we do something else. I love that. Yeah, I think I think it's interesting when you when we talk about technology, and when we think about technology. And it's interesting to see the certain functions that fall into, for example, the emerging technology spec. So if you look at IoT, we're at the IoT conference, right? So if we look at IoT, and we look at the emergence of industry, 4.0, Germany, maybe one headed for nearly, nearly nearly 12 years now.

04:01

Kind of surface. But I think what's really interesting is you're right can be such new

04:07

and critical use cases that are being formed, or being discovered. And I think from a technology perspective, what's exciting is that when we look at emerging tech, when we look at things like ai, ai being that kind of thing, term for machine learning, deep learning, neural nets, things of that nature, you know, 70 years, 6067 or seven years, I think he's pouring back into the darkness. You know, reading and doing speech in 1956, I think is a deep and strength to my mind. And, you know, so it's been there for a long, long time when we look at age, which falls squarely into the IoT space. Edge has been there for a long, long time PLC. Yes, yes. Right. Yeah. But these are emerging technology spaces that are now starting to play

05:00

accumulates, and they're starting to percolate, because we observed the movement at the front and the back end of innovation. So when I think about the front end,

05:09

I'm thinking about how I consume something. So you know, if that's, you know, if that's in a factory, that's really, you know, how I am consuming information that's coming from an alarm or a set of alarm systems, or it's how I, you know, if it's a utility plant, I'm looking at constant actuators and tenant taking, you know, talacre telemetric data from this and then you know, dashboarding that, so I get a meaningful reading for somebody, you know, the back end of innovation. So, here's the point, the back end of innovations, the lesser seen,

05:39

Mr. Z is the area where you get all of the frameworks where you get, you know, all of the architectures and standards, the, you know, all of the complex and in some cases for some people, mundane things, but things that are essential for the Front End of Innovation to work. So that Front End of Innovation, that's where ideation happens. That's where we get all of the bright ideas and the use cases, but the back end of innovation is the technology stack that comes up to meet that expectation. And where we found ourselves over seven years with artificial intelligence, for example, and other functions of technology is that the back end of innovation has now come up to meet that front innovation. So here's, here's the thing. It just sort of dawned on me, we're here at this IoT solutions World Congress. It's sort of misleading, it's not it's really a technology because every time I'm talking to somebody, it's, it's rarely about the device anymore, right? It's like, oh, I got this device, and I stick it on this asset and this asset, then I get to pull data. It's far more than that. Yeah, it is far more than that. It's the device it constructs around the device process and the process seeds and the entire environment. Right. So we've got to see this through the lens of an ecosystem. It is with Dell. Yeah. And so at Dell Technologies, what we try to do, if we were thinking about any technology, scenario, or ecosystems, we've got to see it from an ecosystem point of view. So our technology strategy is rooted in what we call the strat six. So these are the strategic six technology. So you gotta go, you gotta go down that road. And now that you've

07:17

said, six, I got to know what the six are. Okay. Right. One? So in no particular order, no particular order.

07:26

One, so we've got data. All right. Yeah. So we've got lots and lots of data coming in, through we mentioned already the other lines through sensors, through phones, you know, across open banking platforms, ATMs, you know, intravenous mechanisms that are, you know, attached to humans taking human conditional readings from in, in healthcare, we have, you know, telemetric and metrology data coming off. And, you know, airplane engines telling us about the condition of the aircraft or condition of components that are propelling the aircraft we have, you know, all of this data telling us that the aircraft is flying at a certain height, altitude, and we can increase that altitude and increase efficiency as we do.

08:19

That same set of metrics are gonna tell us if we increase it to heart, Hi, we're going to get for, you know, ice crystals forming on certain areas of the plains where we may not want it. So it gives you that level of accuracy, and so on, and so forth. So the first thing is, we have data coming into an ecosystem coming in off different it's a tsunami of data, a tsunami of data that took different line gets exactly correct this piece of data to talk to us. Yeah, so there's a sense of normalization. So the first thing is, how do we observe the data coming into a factory coming into a hospital coming on to, you know, an energy grid coming into a smart city? How do we normalize that data, and then treat the data or the metadata as it flows across the high and low band networks and makes its way to a control center or a core or a data center? Or whatever it is that you want to call it? Where somebody is observing the data, or at least the information associated with the data? How do we then, you know, meaningfully connect on to certain platforms, private cloud platforms, public cloud platforms? And how do we do that with a level of trust, and so on, and so forth. So that whole idea of data time and data flow and how we protect the data, how we encrypt the data, how we actually resurface the data to do inference with it, potentially, with other new incoming data so we can actually

09:33

model the first it's day, that's only the first killer. All right, I'm winded.

09:42

So we go a little bit quicker.

09:45

Don't worry about it. So data management is the first piece that data management enters into an ecosystem at what we call the edge so that could be the thin edge or the far edge as we call it, or the near edge or an aggregation. See

10:00

so just FYI, you guys love the creation of words? Oh, it's incredible. It is. Yeah, somebody was saying, Hey, Scott, I'm trying to come up with a new,

10:12

something, some words that everybody in the industry will start using, and I can't think of them. And then that guy says you will go to Dell, they'll give you a whole bunch. And all the acronyms

10:22

go, so you got this edge. So here's the thing, that's where you find your devices. That's where you find the Yeah, the constructs that you spoke about earlier on Scott, right. So FTA, we have the devices and those devices are taking in the data, those devices have to be able to scale. If they're taking in data, we got to be able to normalize that data so that data can speak to each other. So if you're in a factory, you got ZigBee, Wi Fi, Modbus, kambos, all these different languages and different protocols, we normalize the data, and we land that onto a construct where we can do some sort of level of analytics. This is where we dropped a function of artificial intelligence down onto the edge device. So now we have three pillars, we have data and data management, we have the edge, we have AI, and remember, AI is only kind of the term for machine learning, deep learning it is it is it's like it's all of a sudden, like IOT is just everything. Right? Exactly. It's your miscellaneous file. So in the context of IoT, what we're interested in now is machine intelligence, right? So understanding what alarms are telling us understanding what processes are, how processes are running, and so on, and so forth. And we're moving that data again. So as we move the data, how do how much level of trust, what's the level of scoring, can we attribute to that data as it comes in? So then we're into a conversation around not just security, not just, you know, identity access management, or roles based access control, but we're now into a conversation around, you know, if I was to score this data coming into the ecosystem, based on what I know about its origin are based on what a machine through the machine intelligence pillar is telling me? Where would that score between zero and 10. So if it's a boob seven, fine on she flows, it's coming in through the ecosystem below seven, right, they want to do another level of interrogation. This is how the real concept of of security, which is that fourth pillar, so we've had data management and movement and flow of the data throughout an entire ecosystem, from the edge into the core. And out onto public cloud platforms, we have the edge constructs, which are compute devices, which interact with the devices that are sitting out PLCs, and alarms and everything else out in any given factory, we have the artificial intelligence functions, which sit across these devices in a distributed way, and do their certain level and layer of analytics. And then we have the movement of that data and the security and trust level of that. And then we have the digital fabric that is or will flow through over time. And that's really there's movement into 5g slash six g and what's coming in those spaces. So we have a digital fabric moving all of this data across it. What's the digital infrastructure that we put on top of this, that, essentially is cloud architecture? So we're moving cloud architecture away from the public cloud platforms? Not away from them, but we're extending from the public cloud platforms? Private Cloud and out now to edge cloud? Yeah, see, see. Go ahead. And they are the six pillars. You've got data management. Yeah. Hive edge. You have security. Ai, ai. Security? Yeah. 5g. Yeah.

13:31

And across those six pillars, we create our technology strategy. I go forward, there it is. Are we thinking technology?

13:39

I'm winded too. But I'm winded just because that was exceptional. Thank you. That was exceptional. I get every I wake up every day when it's because yeah, but it's crazy. You're so passionate about it. I love this stuff. No.

13:56

Do people sort of run away from you? If you start, hey, here comes becomes mark, he's gonna start talking, Hey, give him a Guinness now stat.

14:07

Yeah, they do. People do run away from me, just for technology reasons. But, you know, look, I mean, apart from the fun side of this, and there's lots and lots of fun, you got to enjoy doing what you do. And you got to, you know, you've got to buy into and get passionate about, you know, what you do and how you do it? Yes. Well, you know, I'm here this week to talk about responsible computing, and the launch of that consortium in conjunction with no Object Management Group and IBM. And this is, you know, when we think about that ecosystem level, which we need to do, right as, as an industry as a society, you know, these new digital services that we're creating and constructing, they need a level of governance. They don't need tight control, but they need a level of governance and they need frameworks that we just don't have just puppets and frameworks around the place, but we don't have any one central kind of framed body or console

15:00

Where do you see that as bringing all of the standards, all of the things that we're really, really interested in together, and it's, you bring up a good point, I think it has to be a consortium type of model, I think because this, this necessity to collaborate is imperative to to create those sort of general guide, guidances. Because Because here's the funny thing, there's this speed, like,

15:25

just in a couple of years, what you sort of went down, and these six points have changed so dramatically in just two years. Just two, yeah. And these are, you know, societal changing stuff and business changing stuff. And it's, it's amazing back to my original point, when AI was born, it was born through, you know, a collaboration between, I believe, the US government and the British government to get some very, very clever people together in a consortium to able to solve problems that we haven't been able to solve as a society. And the problem with this was exactly as you've just said, Here to speak. They didn't, they had the ideation, the ideation was always there. But the back end technology that I mentioned a little bit earlier on, it just wasn't there. And we didn't have the networks, we didn't have the scale, your architecture, we didn't have the energy efficiency that we need to be able to power some of our compute architectures to drive some of these models. And so they d invested. And over time, we would have seen hiatus and, you know, ebbing and flowing of interest in AI. But we're at a place right now, where we can actually build machine intelligence and do meaningful things because that back end technology has been so cool. And

16:41

I wish I was younger.

16:44

Well, it seems to be to me.

16:47

Thank you. All right, listeners, Scott Mackenzie young at heart, as validated by Mark,

16:53

rock, can people get a hold of my brand?

16:56

Red Dog mark is my red dot, Twitter yellow by

17:01

a red dot dog mark, Suzy, Twitter handle right there Red Dog mark up and called worse. You can also get me on LinkedIn. Excellent. All right, listeners, you're gonna have all the contact information from from Mark Out on industrial talk.com. So fear not, it's all going to be there. So don't come complaining to me that you can't get a hold of Mark, you are spectacular. That is fantastic. I'm a better person because of you. Well, I'll probably for my wife.

17:31

All right, listeners. Once again, we are broadcasting from IoT solutions World Congress, Barcelona, and meeting great people like Mark,

17:39

you're, you're stumbling around meeting great people are here. So put that on your bucket list. All right. Stay tuned, we're gonna have another great conversation shortly. So do not go away. We will be right back. You're listening to the industrial talk Podcast Network.

17:54

All right. Once again, thank you very much for joining an industrial talk. And definitely thank you for your support. There's a couple of things to add to your to do list why you need to connect with Mark Oh, O’Regan, his LinkedIn stat card is out there on industrial talk. Reach out, you'll say oh my gosh, look at his LinkedIn stat guard. It's it's chock full of wisdom and insights, that is an important connection for you to make. Two, you need to put on your bucket list the IoT solutions World Congress, January 31, to the second of February. And the reason for that is if you are into the digitally transformation journey, what I like all the other companies, you need to be able to educate, get the latest and greatest information from leaders who are blazing the trails, you need to collaborate, you need to talk to these leaders to make sure that this is the right thing for you. And of course, find the innovation that is available to create that business that is resilient. And you know, for the long term legacy, all of the good stuff that's associated with developing that business. That's the IoT solutions. World Congress, January 31. February 2, I've been there a number of times, and it never, ever disappoints, you get people like Marco Reagan and others that that just deliver the truth bombs. So anyway, make that a priority. All right, people be brave, daring greatly. I say that all the time. But hang out with people like Mark connect with people like Mark and you're going to change the world. Thank you very much for joining. And thank you very much for your support. We were going to have another absolutely another great interview from IoT solutions World Congress shortly so do not go away.

The post Marc O’Regan, CTO Dell Technologies appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Marc Peters, Distinguished Engineer with IBM about “Responsible Computing, what is it and why it's important to industry”. Get the answers to your “Responsible Computing” questions along with Marc'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!

MARC PETERS' CONTACT INFORMATION:

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

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

Company Website: https://www.ibm.com/us-en?ar=1

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

consortium, organizations, responsible, computing, industry, people, ibm, Marc, industrial, defined, individuals, join, happening, technology, world, component, model, iot solutions, insights, conversation

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. 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. All right, welcome back to industrial talk. And thank you very much for supporting this platform that celebrates industry professionals all around the world. And I'm pointing at you on the video. Now, you can tell by the noise in the background, we were on site at IoT solutions World Congress, Barcelona, Spain was the town and ad is a must attend event, you need to attend that event, all the contact, and all the information for that event will be out on industrial talk.com. Now, we had the opportunity to speak to Marc Peters, Distinguished Engineer with IBM about responsible computing. Now, you're saying yourself, Scott, Scott, I don't know what that means. Responsible computing.net They have a Consortium and they are defining what that is. And here's a definition ensuring that your IT organization is a responsible contributor to and an advocate for the planet sustainability development goals. Yes, noble, yes, important. And yes, it needs to be a part of that conversation. Now go out to responsible computing.net all of the information is out there, and and how you can get involved. You know, it is an important component. And Marc Peters, of course, you're going to have his contact information out on industrial talk. So here's Marc, enjoy the conversation on responsible computing.

02:46

Thanks for coming back.

02:50

Because he has to blaze out of here. And so I had to make sure that we get him on the podcast again, before he has to get on a plane and go back home. I guess we're going back home. Yes, I'm flying back home. He couldn't extend it another day.

03:03

You have to know that futures contract. And they have so many people visiting the IOC conference in Barcelona these days. And there is also a second contract second place. So it was rather challenging to find a hotel room for another night. So it was easier to say, Yeah, we got an extra bed in ours.

03:21

It's true that other conferences pretty big, too. I mean, yeah, it's pretty big. It's lively. And it's fun. All right.

03:31

We had a prior conversation with Marc,

03:35

Oregon. And we were talking about the consortium that has just originally been kicked off here a few hours ago called responsible computing. I think it's a good opportunity, Marc to expand a little bit upon that give us a little history behind why this is important. I get it. For the listeners help us understand a little bit about that. Yes. So maybe I start with a small story. So I used to be the CTO for Energy Environment utilities, for me for more than 10 years. And I started to be on stage for conferences and talking about different things that we're targeting energy and

04:16

maintenance scenarios, AI, machine learning and whatever new technology stuff. And then I said that there is more that needs to be talked about. And the more was around environment, because it became part of my role on one side, but also something that's relevant to my family. I'm married has three kids. So I also want to have that, that worlds that we are currently living in being ready for them to live in the future.

04:41

And looking at the newspaper from one of the academia. That was in 2019. I have seen a model that comes from the foundation for future generation. It's the Russell Russell Space Foundation and they came up with a model they call for P model. And peas are standing for people. You

05:00

Plant prosperity and participation. And I said said that is a brilliant model because it is addressing the feelings that individuals have. It's addressing the challenges that organizations are facing. And it's opening up through the force P sort of the participation, two way of interacting and engaging for individuals. And looking at the announcement of the OMG Consortium for responsive computing, these four P's are also at the heart of what we want to do and what we want to achieve. And what we have already been doing it the last three years, as part of the IBM initiatives that we have been doing, first of all,

05:45

it's, I find the necessity for an organization or a body like this consortium, even more needed today than ever before. And we spoke briefly about it. And I think that what's interesting is, is the necessity to be engaged to be a part of it to participate. So

06:08

have you done has for this consortium? You're not starting from scratch, right? Are you?

06:16

Have you sort of begun taking the the information and the insights provided by other consortium members and then begin to build this disorganization? Yes. So why we started, we put together a team of 100, IBM assistants were more volunteers. And they participated not because they were forced to buy cars, but because they thought there was a very good combination of technology, and individual interest that is going alongside that subject, and formalizing someone's framework, some of the ideas, but we clearly said at the beginning already, this is nothing that we can do by ourselves only, we want to validate our initial ideas with others. So that's where we started thinking around the council or consortium. And we reach out to different industries, like the financial services sector, telecommunications, industry, energy industry consulting industry. And with these participants, we were discussing a Is it crazy what we have in our mind? Or is it reflecting what you also experience a field. And you can imagine that, looking back two years, two years from now, in the past, most people were thinking about cloud and public cloud.

07:36

So if I, as a CTO was talking to customers talking about cloud and technology, they were just sitting back, and it's another guy talking about Florida, blah, blah, blah, right, right. Oh, yeah. Whereby when we talked about responsive computing, and the ideas and necessity, you got full attention of everyone listening in. And we're feeling really this intense

08:00

thinking that I started to do on how this would be applicable for the Ministry for the organization or for them individually. And that's also where we reached out to more and more organizations and asked, Hey, would you like to join the council? How would how would we need to formalize it? And one of the feedback was it, we would like to join, but we don't want this to be

08:23

an enterprise driven organization, we want it to be more mutual.

08:27

So we approached the OMG optic management group to see if they would have appetite and engaging and collaborating with us. And we found it a great partner that invested in you. That's something where we feel not only proud of doing it, but where we think that we can make a difference by even bringing our own network into

08:49

the did you with that, that ideal spot on don't get me wrong? Was there any sort of pushback, like companies saying, I get it, but we have it? I mean, any any pushback on on being a part of that organization? Like, hey, this is this is this is our, this is our stuff, that type of thing. So it's a it's a very interesting question.

09:17

I just need to spend some time to figure out how to best answer because I have an answer that I will not openly share here. No, because this is something that I can't I cannot I didn't mean to pop you with that question. It would just be something that I can imagine somebody saying, Wow, no, no. Let me do it more analyze. Large organizations have structures have plans and vacancy. So

09:45

most of them immediately, some set that by themselves to structure. The idea is something that they have been already been doing since years and they are more advanced and therefore would not like to engage

10:00

Because this type of discussion, or would not like to have the name associated with others in the same context. So that's one silo,

10:10

as you are working with organizations always have to follow a certain process to convince the stakeholders to get a message on WhatsApp.

10:20

And that need to be a sustainability message

10:23

could be also a business message messenger value message whereby they're looking at current discussions. So remember, that started two years ago, or two years more into this? We see more and more organizations say that the responsibility side is something we need to do. And the commercial aspects are only second priority. So we really see number 50. In the discussion.

10:53

So.

10:55

So the hook is the fact that I think that there's a lot of pressure from a responsibility perspective. And that's, that's environmental that responsibility is environmental on one side, but also equitability. So it's about people, it's about bias. It's about diversity. So the societal

11:14

aspects that come into it. And societal is not just how we talk to each other, how we apply data to it out with write code to it, how do we apply AI to it? What's the impact of a big data set of hyper scalars? If you build up in a small community, what's happened to the groundwater? So there is an interconnection of different aspects that most people are not aware of know that where we cease interconnection happened and the responses

11:44

and also the framework that we have defined. So what I do here is that there's societal motivators, for companies to

11:56

participate, to find answers to, to do it the right way.

12:02

And I would imagine there's some financial component to that, too. There is always a financial component. But I'm not here to discuss about that one. Let's take an example. You probably have heard about the war for talent.

12:16

So where do you get new talents for your business?

12:20

And how do you attract talents, you can attract talent by money? Yes, but that's looking at the current new generation coming in. That's not the only factor. You can attract them by fancy worker and balance. But with a pandemic situation, that's a work environment. So not so of all as it has been two years ago, or three years ago. So what is attracting young motivated people to join your organization. And that's something that is most close to their heart. So it's about societal aspects. It's about collaboration, it's about the future of the planet, it's about environment. So that's where you can come in, when you change your thinking and the way you address responsible computing in your,

13:07

your, your your firing on all cylinders, that that workforce component is a well is a hot topic for for many, to figure out what

13:19

what's the solution, and I think you're absolutely spot on.

13:24

From a consortium perspective.

13:29

I'm just trying to get sort of order of magnitude, what size like let's say we have 100 seats. And we go through the process of what this consortium how it sort of operates, the assets. So some of the consortium currently has two founding members, it's Dell and IBM. Yes. But it's just a coincidence that these are technology companies. So we are in the process of having other please join me because the value of consortium lies not within having a computer manufacturers or consulting organizations only work together. It comes much more from having manufacturers joining health organizations joining government budgets joining.

14:11

Because if you want to have an impact with responsibility, this is about all industries. So it's not just the tech industry that is concerned with technology. digitalization is happening everywhere. So everyone has a technology

14:25

scene. I like that. It's not it's not sort of

14:29

in a silo. This this goes across multiple disciplines, multiple industries, multiple whatever, because it is it is something that

14:42

needs collaboration through conversations and not just that there's a there's an action components that say it's one thing to have that conversation and yeah, you're right. Yeah, you're right. And everybody's saying, Yeah, you're right. But you've got a tangible deliverables to that are

14:59

available.

15:00

or, or will be available or in a vision to be available to industries to, to draw from, and then be able to also, you know, learn, yeah, all of that. So I only mentioned to family members, but we also have academia. So when you use

15:17

these VPCs, British computing society join two organizations also aligning to it. And by aligning, we mean that they are adhering to the manifesto for Responsible values and principles. And each and every individual can also adhere to this principle so that individuals can join a consortium, they can get aware of what's going on. And as part of creating a consortium, IBM is also donating part of what we've been doing in the past. So that's according to manifesto, it's maturity assessment model, to give it a kickstart into the consortium and to build on it together with members.

15:56

Do you have any real timeline? I mean, it's happening now? Yeah, you kicked it off at the IoT solutions World Congress here? What are some sort of milestone events that you might have laid out as a result of that?

16:10

So that we, ultimately up to the consortium members defined timeline. But the workgroups are planned to start next week already and on the sixth dimension of the framework. And then we hope for sure to have the IoT conference here, also as a Kickstarter for other organizations that are willing to join. Just for the sake of understanding, can you repeat what the six dimensions are? Oh, definitely. So it's a hexagon of hexagons. It's built up with responsible computing data center, responsibility, infrastructure, responsibility code, responsible computing, data usage, responsible computing systems, and responsible reporting. In fact, it's excellent, because all of these are interconnected. But they are not mandatory to deploy to us. So organizations can start with any of these. And we have also defined paths based towards one or several of these.

17:07

All right.

17:09

Let me ask you this. One last question.

17:14

Is there a an easy way? For somebody that says, hey, I really want to get going, I need help I need to be able, how do you just sort of make it simple and easy for somebody to get a hold of what's going on here? So I think the easiest way is to reach out to responses to have that Rizzolo material and then connect.

17:38

That couldn't get.com. So somebody else had a.com, click question.

17:45

All right. All right. His name is Marc Peters. And we were talking once again, about responsible computing, I highly recommend that you go out to responsible beauty.net. Right. Find out more if you gotta be engaged here. It's a must. So that's responsible computing dotnet. Again, Marc, you did a great job.

18:06

Yeah. All right. Once again, we're broadcasting from IoT solutions World Congress, it's an excellent event, you get people like Marc Peters here, doing some incredible things, creating consortiums. And it's all about collaboration, you need to collaborate with people like Marc and others, because he got to be on this journey. 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.

18:37

All right. Once again, thank you very much for joining industrial talk and supporting this platform that celebrates industry professionals all around the world. That's YouTube. That's you. And we've got some action items from that conversation. Now. Thank you to Marc Peters, thank you for sharing what you have about responsible computing important stuff. Now you listener need to go out to responsible computing.net look around the website, easy to navigate, clear, concise information, and you need to think about getting involved with this particular Consortium. The other, you know, action item is that we talk about IoT solutions World Congress, Barcelona, January 31, through February 2 2023. The link is out there on industrial talk. Absolutely fantastic event, great people, great leaders, sharing their insights, solving problems, and definitely contributing to improving industry, manufacturing, utilities, you name it, it's happening at IoT solutions World Congress. So go out to that website at industrial talk. Get that information. All right. Be bold, be brave, dare greatly hang out with Marc for Responsible computing. And again, you're going to change the world. Thank you. Once again, we're going to have another incredible

20:00

conversation from IoT solutions World Congress so do not go away we will be back with another great chat

The post Marc Peters with IBM appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at IoT Solutions World Congress and talking to Marc O'Regan, CTO at Dell Technologies and Marc Peters, Distinguished Engineer/CTO for Deutsche Telekom,  about “Responsible Computing, what is it and why it's important”.  Get the answers to your “Responsible Computing” questions along with their unique insights into 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!

MARC PETER'S CONTACT INFORMATION:

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

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

Company Website: https://www.ibm.com/us-en?ar=1

MARC O'REGAN'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/marc-o-regan-0597491/

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

Company Website: https://www.dell.com/en-us?1660040523?1660040523

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

Marc, consortium, computing, technology, responsibility, organization, compute, industrial, responsible, conversation, data, framework, tx, ai, business, perspective, industry, ctos, people, ibm

00:00

Industrial Talk is brought to you by Trend Micro now you know cybersecurity is important if you're on this digital transformation journey, Trend Micro networks has the solutions for you. And you're saying to yourself, Scott, they're going to be complex, they're going to be difficult. No Trend Micro's taken that into consideration. And they provide a suite of solutions that truly meet your cybersecurity needs go out to TX, one dash networks.com and find out more, you're not going to be disappointed. 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. All right, thank you very much for joining industrial talk. Once again, we are broadcasting on site IoT solutions World Congress in Barcelona. Again, put that on your bucket list for 2023 end of January a must attend an event. In this conversation we have a two gent conversation with Marc O'Regan and Marc Peters, the two Marcs are talking about one responsible computing what does that mean? And then two, how do you get involved? How do you get involved with responsible computing? That's what's on this industrial talk. Enjoy the conversation?

02:02

You guys having a good conference? It's interesting things to see. Great, Tony, thank you. Good. That's what I want. It's all that's exciting. Now for the listeners. Let's, let's start with you. Marc, we're gonna give us a little background on who you are.

02:20

Sure. So first and foremost, thanks a million for having us on Scott.

02:25

pleasure is all mine don't even begin.

02:28

So my name is Marc O'Regan, I, a CTO for Dell Technologies. I'm the CTO for Europe, Middle East and Africa. My background is distributed computing,

02:39

distributed computing in architecture.

02:43

That takes in things like performance computing, Edge architecture, things of that. I guess my responsibilities for Dell Technologies, observe emerging technologies. You know, make sure that future strategy if the organization is going where it needs to go. And

03:07

yeah, there's there's emerging technology out there. You're you're at a great conference for that. That's for doggone Sure, without a doubt. Now, for you, Marc. Number two, give us a little background on who you are.

03:19

Yeah, so multidose. I'm an IBM Distinguished Engineer. So with IBM for quite some time already. Different responsibilities are covering. So I have a day job for sure. But I'm here today, mainly because I am leading since more than two years initiatives that we have bought responsible computing. So I've been doing that as part of the IBM Academy of Technology, bringing together a broad range of different participants from IBM, but also linking up with outside IBM organizations to make sure that we are not just drinking old wine, but making sure that others are validating and engaging together with us in that interesting journey.

03:59

Okay, so let's let's Let's venture into responsible computing. Now. You need to help us define what that is what, what does that mean?

04:09

So as I said, first of all, computing is something that initiated two years ago, approximately Now, and it came out of information that we collected from ctoc hours across EMEA. And we were dressing them for questionnaires, understanding what the future of technology will be. While collecting the answers. We understood that it's not only about technology, but the CTOs and CIOs were expressing some anxieties and some concerns about what their role would be in a sustainable environment, the future, what they would need to take care of when they would have to be approached by the CTOs and CEOs around sustainability or carbon footprint. What about security? What about data usage and data concerns and data capabilities? What about the coding and develop within the organizations, and how to bring this all together in a systemic or holistic approach in environmental interlinking different facets of what we now call responsive computing.

05:12

So it goes beyond because when somebody says responsible computing, okay, you got an image in your mind, and you're now is, is there also sort of that that moral component to it where, you know, a lot of conversations wrapped around AI, neural net, taking my job away, it's just that also encompass that, or is that just outside of the scope

05:36

budget that definitely, so what we came up with is kind of a framework that we shade, and we call it a hexagons of hexagon, because there's six dimensions. And the six dimensions are responsible computing data center. So that's a physical infrastructure of a data center. Then it's about responsibility infrastructure. So these are the compute capabilities or storage capabilities that are sitting in the data center. The third dimension is responsibility code. So how do you develop how do you program what type of programming language do you use to make code more efficient. And the fourth area is responsible for doing data usage. And it used to be called data insights. But data insights from an IT perspective is more like analytics driven. automatic focus how brains towards a dimension, that's why we call it data usage. And we are addressing their regulatory capabilities and challenges. But also what dark data is, for example, producing in terms of power consumption, just sitting on a machine somewhere. The fifth, some engineers, responsible booting systems. So bringing this all together from a systems perspective, and also adding the ethical side of it or diversity side of the perspectives. And the last one is responsive computing impact. That's why we addressing the impacts of people and society. And when I say it's the last one, it's not just correct. As I said, it's actually going to affect seconds. So it's grouping together, there is an inter linkage and there is no defined that report yet reports are defined by maturity assessment models, bringing it more approachable to individuals, and letting organizations and individuals decide where to enter the specific facts.

07:14

So, Marc, Marc, Oregon, Dell, why is it important for Dell to be a part of this responsible computing Consortium?

07:25

Yeah, good question. I think, Scott, it's important for it's extraordinarily important for Dell to be part of this, it's important for organizations to be remembers, also, this is the conversation that's been going on for some time in industry. And it's a critical conversation, it's a conversation that's, by and large, then played down or largely award, and it can't be ignored any further. It's on the top of everybody's mind. Responsible computing, we're thinking about everything from, you know, the responsibility that we have, as an organization, as an organization for Dell, for example, to ethical computing, sustainable computing, everything from how we build our technology, the process that we go through partners and componentry elements that we bring into the build models and technology constructs, right through to the platform where the datasets are observability that data, data integrity, data, sovereignty, data placement, and the use of data usage, how we use data, for good or for bad. So it really is a conversation about responsibility, that responsibility to the technology responsibility to the data to the code arrived a few moments ago, responsibility to ourselves and to each other. And that's the consortium is in place to build that framework and the frame those six principles that Marc hopes to, into a framework that's understood. So a question that comes

08:59

to mind and and and I don't, I don't know, I mean, you, I guess, you guys will know, is every time I come to an event like this, the people like you and trailblazers that are really pushing the envelope from a, from an innovation perspective, there's a there's a philosophy that exists. Me, let's say, I'm just Scott Mackenzie manufacturer, in my behind the times, all I'm trying to do is trying to figure out how, where, where my role in my business is, within all of this technology, this, this growth in technology. So when we start talking about responsible computing, am I behind that? Or is there a way out that I can incrementally sort of approach this, this this fact if I if I want to do this? I've got to approach this. Is there an incremental way to be able to do that?

09:50

Yes, so that they pick up the question, Scott. So definitely, there's an incremental way and you can do it through the framework. You can do two pathways that we have defined So it's kind of cross cutting themes that are brought forward by any industry. So if you're a manufacturing industry, then there is perfectly a place for you to contribute even to responsibility to get to the consortia. Because we think we are convinced, in fact, this is not just a technology company consult here. But this is something that needs to be driven by cross industry organizations and members. So when we have started that or initiate that early thinking, in 2020, we were validating the thinking with outside parties. And they were coming from the financial services sector, from telco business and from energy and consulting services. So that's where we got initially feedback and comments and also from submissions already. And that's where the value of the consortium end of the framework really comes from.

10:45

Yeah, what I see is that it's, it is it's broad, if, if you're, if you're a human being living in this world, you're going to be exposed, you just have to be exposed. And if, if you're a business that has any desire to have some resiliency and long term success, again, it's a conversation that needs to happen. Do you agree with that? Yeah,

11:07

absolutely. And, and And to answer your first question, are you behind the times? I don't think so I think you're within the good quote, the great bulk of the times they are changing. And they are, if you look at technology, just simply from a technology perspective, you have shifts major shifts, tectonic shifts in technology, every 1520 years. It goes from, you know, centralized, to decentralized, and we're very much at that decentralized swing of the emergence of edge. Like artificial intelligence AI has been with us for 170 odd years. Yes, sir. That edge is with us for as long as no longer Okay, so these are emerging technology spaces that are emergent within our tones. And they are coming into the emerging technology frame. And CIOs, CTOs and CEOs have to make that decision? How do I insert these technologies into my, into my business into my organization into networks? Or whatever that might be? And how do I do so meaningfully? And with a level of trust and resilience, as mentioned earlier? And, and what is the framework around for better understanding and doing so, you know, as we look at things like AI, as new algorithms emerge, we're on this third wave of AI and the algorithms are changing. You know, Marc mentioned this a little bit already wrong. from a coding perspective, it's it's the responsibility to how you code your methodology, the software that you're using, the program that you're using, but also the you know, how you exploit the underlying technology, and then how you ultimately build ethical applications and how they're consumed. So AI, outside of just the general ethics and bias kind of frame, it's huge. It's a huge, huge area for taking AI and we're lacking it out. yet. We're landing it into a factory for a landing it into ICUs, in our hospitals, or rather from energy operator into smart cities, you know, how does that work? How do we approach this? What kind of architectural technology problems do we need to solve? And so on and so forth? So it's these things, I think that are going to start to emerge, you know, within one of those six pillars within the hexagon, or potentially even cross merging between one or more of those?

13:21

Okay, so you see, you guys, you guys sort of huddled around the watercooler and you have these conversations and somebody comes back to the watercooler and says, aha, I got a new one for you. And then you'd say, you know, you're right. And then for someone that says, Hey, I'd like to get involved, I'd like to figure out, I'd like to be a part of what's going on, because I believe in it, and I see it and I understand it. And even though I've just got a little glimpse of it, how does somebody get involved with the consortium.

13:50

So the easiest way is, first of all, to look at the responsive computing dotnet website makes it easy to understand what is already written there. What we have started developing together is what they call the manifesto for responsive computing. It's a set of values and principles. So everyone organizations and individuals are free to join through this manifesto, and adhere to the principles that was already getting involved. And some of them may evolve into a full membership of the consortium later on and start contributing not just from from the thinking, but also to define the measurements, the control points, and first drive its adoption process.

14:31

So, so it's not difficult. I mean, there's just awful opportunities out there galore. And it depends on where you want to be within that whole definition of how do I get involved. So I wouldn't call

14:43

it opportunities. I think there is a necessity to get engaged, make sure that the voice is heard, and that we are really going and moving forward because it's just nothing that one organization can get to as itself. This is really cross organization. additional work that then be will be very fruitful to what we are looking for. And that is prosperity, its health, it's about people. It's about planet. So all the passwords that you also see in the press today are coming together from a from a technology perspective into responses.

15:19

Yeah, you're talking around the necessity to collaborate, because not everybody has all the answers, right. And in in the case of a consortium, you're bringing in all of these different viewpoints, these different challenges, and you're able to access this full collaborative type of environment to be able to draw some right conclusions or our head in that direction. Is that correct? Yeah, that's

15:45

That's exactly it. And, and it is bringing in that new thing that you mentioned, Scott, right. It's what's this new thing? Like, how can we certainly go about doing that, but it's also about the old thing as well. When you think about things from an ecosystem perspective, from an environmental perspective, to do a deal, together, you have to take this as a problem in IoT, you have to take something maybe that was born into an ecosystem 40 or 45 years ago, maybe written in cobalt, it wants to talk to something that was written in Ruby, and rails or Python that's just been injected in 45 days ago, how do you get these two guys talking to each other, right. And it's an extraordinarily difficult thing to do. But I think the value and the power of the consortium is that, you know, we have, you know, partners and members sitting. So we've been through a lot of this, and who can be absolved for a lot of these types of things, and who can actually bring ideas and ideation into the different workshops, tell, for example, we would have built a power in some of the biggest, most efficient data centers and cloud platforms worldwide. And, you know, the techniques and approach that we used to do that, you know, started with Compute elements, and how you could actually take something that was one unit pi, and had two central processing units into maintaining that you might be bringing in eight, or even 12, central processing units, while maintaining to power supplies and lack of another myriad of different challenges that came into that. What do we you know, as we take the, you know, the lid off the server node, and we look across the plate or compute construct, what can come next, you know, we got to make room for different components in here, because we've obviously got to shrink components. So, you know, shrinking CPU die shrinking on DRAM modules, you know, taking FPGA cards that aren't used, and so on, and so forth. And then they keep for a better and more efficient airflow across the planner of the actual compute. And then understanding the efficiency levels of individual components that you choose to put into the constructs. And then you distribute that across, you know, an entire landing zone of a data center, or availability zones, a data center, that's at the compute level, then at the actual data center, or cloud level itself, it's the power usage efficiency, so the energy coming into the facility, you know, by the by the energy going out of that facility. So what is the compute consuming? And what do you do with the residual heat? In one instance, in the data centers, quite a large one, unlike that, we took that lead, and we used it to help purify water, drinking water for, you know, the greater Boston area of Dublin, the capitals of Ireland. So these are just small examples of techniques and things that may arise. Been a

18:38

work stream, but but but really, what you're saying is that, here it is. We don't even know what type of use cases that can come out of result of going in this in this direction. And then if you're in is that if you're going in that direction, you discover new use cases, such as a purification of water using the, whatever the heat associated with that is generated to do that. So it's what this

19:03

is, this is it, and I think, we don't know. But what we do know is that if you're a bank, you're going to bit want to get close to the data. And that data equals wealth, that wealth, your your business, right, that's your responsibility. It's your bank, you want to get your compute company, and your artificial intelligence model, for example, as opposed to the sensor or actuator or alarm system. And if you're a healthcare provider, or a hospital, you want to get back that capability right into the back of an ambulance, or in some cases, even onto or into a patient. There are different things. They're different use cases, but the pillars and principles tend to be the same.

19:46

And you're compressing the time. You're just compressing time to from from realization to action, or whatever it might be and then some All right. You know, we can talk about this all day. How do people get a hold of you? Marc,

20:01

oh, people can always reach out to me. So LinkedIn, for example,

20:06

I'm gonna have his direct link to Marc Peters, LinkedIn. So reach out to him on industrial talk, Marc two.

20:16

So fast, you can get me by the little toe the left. If that fails, you can get the Red Dog Marc is my Twitter handle. And again on LinkedIn,

20:30

you guys are great. I mean, the passion is wonderful. I just, it's, as I continue to interview a lot of people from this particular event, there's no lack of passion, there's no lack of a desire to do something special. And what you're talking about here with the responsible computing consortium, it falls right into special thank you for good doing that really do it. That's that's a, that's a great idea. All right, listeners, again, we're going to have all the contact information for the Marc squares here. Then it's m, A, R, C, no Ks, and both names are like that. And it will be out on industrial talk. Once again, we're broadcasting live from IoT solutions World Congress, Barcelona is the town. And we're having a great time. And it is fun, talking to great professionals, companies that are really going to shape the way we do business and make our lives better. So thank you very much. Stay tuned, we're going to have another great conversation shortly. You're listening to the industrial talk Podcast Network. All right, once again, thank you very much for joining industrial talk and a hearty thank you to Marc Oh, Reagan and Marc Peters, as you could tell, thoughtful individuals focused on solving today's challenges in industry right there right now. The other thing is that they're big into the need to collaborate. That's why they have this responsible computing consortium out there and all the links will be out there. That's why they're involved. That's why you need to be involved. It is what's happening in the future. And you need to know how to do that and do that effectively and collaborate with people like Marc and Marc to know how to do it and what is important. All right. Again, we are building here at industrial talk an ecosystem of problem solvers like Marco Regan and Marc Peters. And we are all focused on education, which is a must. Collaboration is important. And if you have a desire to have a business that is resilient, innovate, right here, industrial talk, remember we have all the contact information for the Marcs out on industrial talk. So reach out, you will not be disappointed. Thank you very much again for joining. We're going to have another great conversation shortly. So stay tuned.

The post Marc O’Regan and Marc Peters, Responsible Computing appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at Distributech 22 and talking to Robert “Rob” Wilhite, Senior Vice President at Black and Veatch about “Distributed Energy – what is it and how will it benefit the energy consumer”.  Get the answers to your “Distributed Energy” questions along with Rob'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!

ROBERT WILHITE'S CONTACT INFORMATION:

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

Company LinkedIn: https://www.linkedin.com/company/black-and-veatch/

Company Website: https://www.bv.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

battery, utility, industrial, rob, power, people, collaborate, blockchain, energy, capacity, grid, solar, system, industry, innovation, compensation, real, called, building, big

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 cap logistics.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. All right, Greetings, and welcome to industrial talk. Thank you very much for joining the number one industrial related podcast in the universe. And we were on site at distributech, Dallas, Texas, and we had the opportunity to talk to a gentleman by the name of Robert Wilhite, He is the Senior Vice President at Black and Veatch. And we are talking utilities, we are talking distributed energy. We are talking smart grids, we are talking everything that is associated with utilities. So let's get cracking.

01:35

Good conference. Oh, this is great. Isn't it great to get back to, you know, things to see things God, it's like I'm seeing people I haven't seen in three years. No, it's just have you know, handshakes. It's all hugs. Yeah, that's right. It's the one thing that the the virus has done is create a collaborative environment. Right. I want to collaborate. I don't want to do this alone. I need to work with people. Have you come in contact with people that you just met? Virtually? Yet? Yes. Isn't that just fun? And it's great, because they could be tall. They could be short. You don't look that way on a team meeting? No. Contact recoupling. Just man, you are a tall drink of water. Got it? That's not how you look on a, you know, on the team thing. Exactly. All right. For the listeners out there. Rob, give us a little background on who you are and why you're such an incredible, we'll get you your big wig. You're a senior vice president. I am your big your I don't know about the big part. But

02:33

wig. It means I've been around a while. Yes. In fact, this is my 37th year in the energy engine Street. It's mostly utilities, power gas, work a little bit on the water side as well. And this is the only industry I've ever known. I've never worked outside of utilities. And so I started my career working for a utility actually. FPL. So

02:58

Power and Light. Yeah. And enjoyed it immensely. Just wanted to leave South Florida and start something else. And I've been on the management consulting side of this industry for 26 years now.

03:10

You've seen a lot of changes I have, especially in the last five years, isn't that the velocity just sort of wild in the technology and innovation space. It's like, oh my gosh, I don't like keep up it's a tiger by the tail velocity is accelerating big time in these these use cases. It's like, hey, if I do use this, and with this, then I gotta create a new solution. It's a different use case. And then people like me, I can't keep up with it. Because I'm not as sharp as some people. Well, I mean, there's so many new entrants into this industry, there's a lot of new capital coming in a lot of innovation. Now we've got federal stimulus dollars that are gonna flow into the market and accelerate things even greater. So I, I'm excited for it. You know, it's probably going to be rapidly changing over the next five years. And at that point, I've got to decide is that is that the right time to turn it over to the next generation? Right, you're gonna you're gonna have a hard time because that's when it gets really fun. And I just think that I want to be younger and I want to be I mean, this is just fun stuff. incredible innovation and, and a real desire to collaborate. I just, I get a kick out of that. Normally, in the past pre pandemic, it was like, this is our secret sauce. But now it's like I got to work with people. So you're Are you speaking at this event? I am going to be talking about something called the grid edge.

04:34

And just FYI, you know, there's edge thin edge, distant edge.

04:40

In this now this is a new one grid edge, go for it grid edge. It's the combination of hardware software business models, to enable customers to participate with utilities as collaboration to your point earlier Scott, to be able to interconnect things like battery

05:00

is solar, and make all of this stuff automated, and decentralized and put a lot of intelligence at the edges of the grid to make all of this seamless and automatic.

05:13

Because there's a lot of capacity out there, there's the increase in batteries, whatever else, you get these distributed the sources.

05:22

So

05:24

one of the challenges that I see is, is how do you make that how do you make that happen? Give us a use case, it's like, okay, you, you have an Eevee, right? Yes, I do. And you plug it in. And you're just to plug it in, there's more that can be done there. Right? Today, it's simply just charges until it reaches the capacity that I've said on the app, and then it stops, it does nothing else. But you know, I, while I'm here with you in Dallas to go see, my car is back home in my garage and doing nothing. It's just sitting there. So if I had the opportunity, if my utility offered the right compensation, I would sell energy back to the utility if they needed it, especially during the peak times of the day when it's worth more to them.

06:12

But But that can also be not just at your house, it could be pretty much anywhere you go to work. Blog, exactly, boom, same sort of scenario. But that that's, that's a technology solution, that that is dynamic that does that technology cannot exist, it does exist already today, I think it's mostly just a software solution more than anything, it's, it's being able to have the the software in the car, the software on the utility side, in some type of hardware controller in the garage that takes care of this back and forth flow. And you can send it pricing signals. In other words, if the utility can communicate to a controller that is mounted in my garage, then they have the ability to send me warnings, I can hopefully pop it up on an app, make a conscious decision on whether I want to participate or not, you know, offer me more money, and I'll bid it even higher. So this is an interesting, you know, my my knowledge of the utility, because I've got a system operator, I've got generation, I've got transmission, I got distribution, I got the substations that all make it work, and then I comes down. And then when I flip the switch on, Oh, good. You're talking about a dynamic ability to be able from a systems operators perspective, supply demand, managing that and be able to communicate pricing, or, Hey, we need we need, we need your battery. And they're not just doing it with one battery, it's it's a batteries, this area, a network of batteries all could be disparate, and, you know, different owners of those batteries even. But if they can bring them together virtually as a utility and dispatch them, you know, in a big chunk, they can get some real benefits and compensation in the wholesale power markets.

08:00

See that? Again? The it's a software so yeah, it is because we exist today. Because you're saying, Hey, here's here's a system operator, and they have to have visibility and those that capacity, right have to just say, Yep, there's whatever capacity of that battery, and so on and so forth. And then there's a time on that. Right, right, because it's not just forever, right? There's going to have to be a point where that battery is discharged. And then there's got to be recharged. And then as a system operator, there's no way because I remember when when I went to the system operations in Southern California Edison at the time, that guy was just sitting there looking at supply and demand. It is moving that turbine and he's like is okay, here we go. And it's like manual. Oh, it's not your father's utility? No, it's changed the way. We've got two way power flows. We've got customer owned devices connected to the grid. We've got the threats of manmade and natural disasters. We've got cybersecurity concerns. That's all financially. I mean, all of this is coming into play. And that also, by the way, if the utility wants to collect data off that device out of my battery in the way I use it, then that's private data. Now you got to protect it. So you know, there's all kinds of growing concerns and barriers to really building the grid edge to scale. But these are resolvable, we can fix these. So with that said, What do you see? I mean,

09:34

this is not pie in the sky. Is it happening today? It's happening in small pilots and limited rollouts. And it you know, there are attempts to make this work effectively with the right business model. I think for the most part, we're still trying to figure out the business model. We have the hardware and software. I think that that part is already available to us today. But then how do you set this up as a business

10:00

As a utility that wants to compensate owners of these energy assets, that's something that has not scaled. Yeah, yet, there is a possibility it could start to take off soon, there's something called the FERC. Order 2222. Two By Four is affectionately called. And that's setting up the rules in the wholesale markets to aggregate just what we just described aggregate these assets, and to be able to make sure that compensation is fair to the owners of the assets, the energy assets. So here's the risk that I because the because I'm a consumer of power. I want that power to be there. Now, a lot of come on home, do flip the switch, there it is. I'm pretty simple when it comes to that.

10:44

I believe the risk is if we don't do it right, the first time, consumers will say, Get out of here. I don't want it. I don't want to forego my comfort

10:55

for this. So you guys gotta get this right. Oh, yeah, absolutely. You only get one or two chances. And I'm telling you right now, I would be the first one to jettison, if I look, we've got all this equipment, right. It's all here. It's all it's just equipment galore. And it's very sensitive. It wants good quality, power, and data. And it doesn't do well, when and that's just everybody. You look around. And it's everybody. Yeah, you don't get many bytes out there. So there's, that's the reliability aspect. Yeah. Now we got to talk about resiliency in the power system. Yeah. How quickly can recover after a major event? Whether it's a storm, or wildfires and droughts or whatever it may be, you know, how do we harden our system to withstand these threats to begin with, but also recover more rapidly after they occur?

11:45

You're hitting on all cylinders, because that's, if you've ever been in a hurricane, and your power's out for 10 days in the middle of the summer, it's not fun. Well, and it's not simple to fix it. You know, a lot of folks think that, well, let's just bury all the power lines, not to say from a hurricane. No, because you have equipment that comes out of the ground to join that underground cable together and operate it and switch it. That stuff gets flooded, and it's ruined. It doesn't work anymore. No, it

12:16

so there's no easy fix. There is a van and it has like your you got your fingers on the poles, but it's gonna happen as more and more vehicles or as more and more all of these different forms of generation get attached, that there's a potential there's capacity. Somebody will make. I'm looking forward and I think it's like neighborhoods having their own generation. Yes, absolutely. And what I really like and fired by is commercial customers today are, are making pledges when it comes to sustainability or decarbonisation of their supply chains. So they're taking matters into their own hands. They're, they're building on site generation, they're putting solar on their rooftops, they're putting batteries next to that solar, we have one client who's a nationwide financial institution with 1000s of branches. If we put solar on their roof, they want to attach a battery. And then they can measure how much solar PV energy they're generating right there on the spot. They run that through a blockchain based software.

13:18

I knew I'd get the blockchain word Yeah, I was just gonna say I'm gay. There's another conversation. And then once it goes through the blockchain, and they can calculate hourly renewable energy credits in real time. Yeah, I mean, nobody's doing this. This is this innovation is coming from the commercial customers directly. So he used to long ago, we had a solar plant out in a Daggett, California. And the challenge is always how do you how do you store that energy, they would use molten salt. So

13:50

like, you slap it up there, and then they would flash, you know, the water, turbine, all of that stuff that can adapt. But that's how, nowadays you got the battery, you got batteries, you've got a big focus now on long duration energy store. Yeah. So if you can get 12 hours plus, out of a battery, whatever form of chemistry is built up in that battery, the more that it's going to have greater value for you, especially going back to resilience. A commercial business that wants to stay in operation during a major event is going to want 12 hours plus battery duration. So that begs the question, I'm gonna sort of go off on a tangent real quick.

14:28

Battery technology is getting better at it.

14:32

And cheaper, so that's good. trending in the right direction. What is the the expectation for battery life? For many of us? Yeah, that's that's the, that's the big question we get asked often, which is to lithium ion technology, for instance, is how, how much degradation per year will you see in the battery over a 10 year period for it 15 That's too far out. But just let's do

15:00

Just take a 10 year period for the life of that battery, we have to today understand how much degradation so that we can guarantee what capacity at battery can supply in year 10. And there's no easy way to do this. These are estimates we don't have enough of these batteries out there to truly know. We're alerting er, and it's just but the right people are in the right places, people like you and others and are making these decisions and looking at it, understanding the challenges that exist today, creating valuable use cases, on and on and on. So it makes complete sense. All right, we're gonna have to wrap it up, sadly, but we're gonna have to, how does somebody get a hold of you? I can be reached at Wilhite, rt@vv.com wi l h i t e r t. RT at BV BV com

15:57

look forward to comments and letters go. I'd love to hear some innovative ideas. That's just your I see you're not gonna retire because it's just gonna get better and better. It's faster and faster and more people are coming out with more solutions. It's pretty doggone cool. Oh, it's fun. It's awesome sauce. Thank you very much for being on industrial. Appreciate it very much. All right, listeners. We're gonna wrap it up on the other side. All Rob's contact information will be available at industrial talk. So don't worry, you'll have it. So just go out there. You'll find it you'll you will not be disappointed with Rob. He's pretty cool.

16:31

Awesome. That's where all the cool kids hang out. It is here on industrial talk. I haven't been called cool in a long time. Cool kid. Cool. All right listeners. We're gonna wrap it up on this site. So stay tuned we will be right back.

16:44

You're listening to the industrial talk Podcast Network

16:51

right once again, thank you very very much for joining industrial talk. If you want to hang out with cool kids like Rob Wilhite, then go out to industrial talk.com Be a part of the club, this ever expanding industrial ecosystem that really celebrates industry professionals like yourself. Thank you to Rob, thank you for the opportunity to talk to him and discuss what changes are happening within the utility world. It's monumental, it is mind blowing in my background utilities. Definitely mind blowing. Thank you very much, Rob, for being on industrial talk and sharing your insights with all the best listeners that industry has to offer right here on industrial talk. All right. You need to one educate. That's why industrial talk is here. That's why we highlight people like Rob you need to collaborate. That's why industrial talk is here. And that's why we highlight Rob because he wants to collaborate. Black and Veatch want to collaborate with you solving your problems? And definitely, definitely, you need to innovate. If you want to build a business that is resilient, you need to be in the game, and you need to innovate. That's why industrial talk is here. Because we want to educate, we want to collaborate and definitely we want to innovate. So go out to industrial talk. Talk to me. Meet yo right here. And we'll have I mean, we'll have a great conversation. All right. Be bold, be brave, daring, greatly hanging out with people like Rob and you're going to change the world. Let's have another great conversation shortly. So stay tuned.

The post Robert “Rob” Wilhite with Black & Veatch appeared first on Industrial Talk.

On this week's Industrial Talk we're onsite at Distributech 22 and talking to Rahul Saxena, Co-Founders and CTO at AiDash about “Using satellite and Ai technology for your sustainability and asset management strategy”.  Get the answers to your “Satellite” questions along with Rahul'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!

RAHUL SAXENA'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/saxenarahul1/

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

Company Website: https://www.aidash.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

vegetation management, storm, utilities, ai, dash, satellite, module, prediction, product, vegetation, rahul, companies, great, solution, predict, plan, disaster, assets, distribute, encroachment

00:00

Industrial Talk is brought to you by Armis. Yes, you are 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. 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. On this episode of industrial talk. We are broadcasting live on site, distribute tech 22. And if you need to go to an event, and you're in the energy and utility space, that is a conference for you, incredible professionals, great companies providing incredible solutions, solving problems. We were also very fortunate to run into Rahul Saxena, CTO and Co-Founder at AiDash. And I'm telling you right now they've got incredible technology, helping utilities deal with their maintenance challenges around the world. It doesn't matter because they do it from the sky. Enjoy the conversation with Rahul. Hey, how you doing?

01:44

Doing great. Glad to be here, Scott.

01:46

Pretty cool. We're back in sort of person. That's for me. I like it. Yep. He's got a great booth over there. A lot of buzz over there, too. Yeah, that's right. You know, that's, that's always a good thing, right? Yep. All right. For the listeners out there. Let's talk a little bit about Rahul and and give us a little background, then we're going to start talking a little bit about AiDash for the individuals that don't know anything about it. And then we're gonna start talking about some interesting news that exists with AI data. So give us the background revenue.

02:17

Sure. So hi, everyone, Rahul Saxena. I am co-founder and CTO at AiDash, dash, we use the technology around satellites and AI to solve problems around operations, maintenance and sustainability for companies which have distributed assets, namely power utilities, which this conference is all about. So we have different products around the asset management, like vegetation management, we offer IBMs, or there is something around encroachment into gas and electric utilities. And then we have a couple of words around sustainability say,

02:51

see what's interesting about it, I enjoy the fact that that leveraging satellite, in conjunction with an AI platform allows utilities, specifically here, just because we're at distribute tech, utilities have a better insight, better capabilities for managing assets from a vegetation perspective. Is that sort of an accurate statement? Am I leaving anything out there?

03:15

That's absolutely correct. So So vegetation management specifically is a big issue with utilities. There is a huge, yep. Yep. So we have a product, which is live and currently being used by 50 customers all over the world, family in us.

03:31

For for the listeners out there when we start talking about vegetation management from a utility perspective, but what is the typical spin for utilities?

03:41

So typical spend for utilities, depending on how big their distribution network and transmission line network can be anywhere, not from couple of millions to you know, 200 million or more worth of annual spend.

03:55

And seeing and that's typically, typically from my my history, real reactive to a certain extent you try to plan. But the reality is, is that other things sort of take precedent, you just don't. It's a sort of a unique, unique situation. And here's a solution that says, Now you go over here, that's the here's the reason why, and then don't worry about over here. And they were able to really direct resources, valuable resources in a way that makes sense. So that's, that's, that's pretty good. All right. There's other things. It's not just vegetation management, we're talking about AiDash with the solutions of satellites and the AI component. What else can we do with it? What else like what, what other value can we gain from that? Like there's a you guys have a press release? You're expanding your capabilities?

04:51

Sure. Yeah. Let me get get straight to it. So yeah, so yeah, apart from these products, so we today earlier today announced the next product. So again on the asset management side, yep. So apart from vegetation management, now we are getting into things around disaster and disruption management. So there are a lot of Disasters are happening, they were like around 15 disasters just last year, causing a havoc, which took almost like a $1 billion kind of spent. Right. So that's kind of a diamond. So, so so. So well, while you're working the satellite, and AI and other products, we felt this technology can really be used to solve these use cases, which are really becoming very important for utilities.

05:32

But given an example of let's say, Me from Louisiana, we had our hurricane. And of course, everybody's, when power's out, people are not happy. So how does the solution that AiDash provides help with that disaster, and in the recovery of that?

05:53

Sure. So for any storm, there are three stages, before, during and after. So what we do is before the storm, typically utilities will get into great hardening and greater resiliency activities, you want to make sure the storms, the poles are all okay, you replace the poles, which are not good. Maybe set up some flood gates, you raise the height of the substations, we do all that stuff. So that's, that's what you do before. So using this product, so we have a great hardening module, where you can plan all these activities, you can do prioritization, you can do management, you can have an app which can use now you see certain field workers in the field and track it all in one place. So that's the prevention. So predict and prevent kind of a stage where you use, you know, satellite imagery to predict and then use this module to prevent it, then as you get closer to the storm, so typically, our model starts predicting the storm and the impact 72 hours before the storm. So usually, that has been a challenge so far. So the sooner you know, you the better you can plan, you can deploy the resources correctly, you can actually, you know, get the right resources much in advance. So we have a resource prediction module as well. So it gives a extent of damage, which is predicted based on the outage. So it takes into account different things it takes into account, what was the you know, damage based on the previous similar storms, it takes care of the weather data to figure out the, you know, what could be the damage caused by the new storm, you take all that into account and come with a damage prediction, as well as a resource or climate model? So you can do all that, right?

07:32

I, that just makes so much sense. If utilities, and this is always a conversation I'd have with people is like, okay, here comes a storm? Did the utility do their part to strengthen that grid? You don't know? You know, I don't know. I don't know if those conversations are happening. Or in many cases, in the case of Louisiana, we find that here's a storm, here's another storm, and it's hard to even get ahead of that grid, you know, strengthening component because we're just trying to get the power backup. Yep. But I'm always fascinated by during like, our last storm, how do they determine where to deploy the resources, where, you know, everybody starts coming in from different states saying, hey, you need help. Here we go, we got some lineman blah, blah, blah. To do that, effectively, that just means for me as a consumer, my power gets up sooner.

08:28

Exactly. So so the idea here is we take into account the weather data, and we try to work with different vendors, which can get us satellite data in near real time, real time is not possible. But you can get near real time. And you know, as we learn more and more about your GPS, as we work with different customers do different pilots and take them to production, we learn more and more the model gets keeps getting more accurate. So you can do a better predictions as you go along. And after the storm has passed, again, you can do some scans from satellites, you can use our app and web component to track this real time that is tradition activities, and try to make it more efficient.

09:01

As seen, and of course, we're after the storm, right? You know, you're okay, so you got to the satellite, you're looking at it, you're saying hey, oh, this is this has impacted this has impacted you could sort of hold off here. You can make those those predictions, those tactical decisions, which is very good. But then it just sort of loops right back to grid stabilization, because he just had now it's after stabilize it, and then you keep on learning as you keep on going. And so ideally, correct me if I'm wrong, that the impact over a period of time will be less. I'm not saying it's gonna go away. There will be power outages, there will be vegetation and for whatever flying into poles, whatever it might be, but you can have a greater confidence that maybe the impact will be minimized.

09:50

So that's exactly right. So apart from these three modules, great heightening preparedness, and then the the resolution of the A repair work, we also have a module called retrospect, wherein you can, you can analyze, you know, what you predicted and what you actually saw. So over a period of time as more than most on some happened, you learn more. And you can also generate your regulatory reports from there.

10:14

And you know, what's great about this is the fact that me consumer, I can be a manufacturer, I can be whatever I mean, it doesn't matter. I'm a consumer of power, I want reliable power, I want to know that the utilities are using all the tools available to be able to ensure that the power is delivered. And I see the use of satellite AiDash, all of that in conjunction is only a and the ability to just have that bird's eye view that ability to say yes. And then taking limited resources money. Yeah, and deploying it properly. That's a heck of a solution. I'm all giddy about it.

10:58

Sure, yeah. So we're excited as well to, you know, solve this big, big issue.

11:02

And where do you where do you see it going? Because Because I see there's a velocity with technology, I see that innovation is like really fast. I see. Use cases being developed as a result of going Yeah, I saw that I got this and we just put them together. Now we have, where do you sort of see where AiDash is going and what's been what's happening there.

11:21

So I think from as we have our earlier product around vegetation management and coastline management are now this new launch with DDMs. So we're trying to, you know, manage everything around the assets at scale. Right. So the idea is to get into all these different issues, whether it's vegetation encroachment disaster, so have one solution, which you know, has different products, where you can link everything together. So for example, we do vegetation management, so if a customer takes our vegetation management product, as well as DDMs product, so we already have the vegetation data. So sometimes they might want to combine their plant so as so that let's say they have a vegetation plan, which is a plant, which is planned out, and a storm comes at it, you know, the plan goes on, right? So you can have the DDMS pick data from vegetation and you know, make sure both the plants are in sync.

12:07

I'm telling you, man, you guys are at the cutting edge. I love what you guys are doing. And it's it's impressive. I I can't say that enough. Because being an old guy like me, we used to just be real reactive with our asset management. And I mean, real reactive. It rained and so he just like, Oh, I gotta go out there and trim trees. Or, hey, the storm came through seems like a branch felon or whatever, you know, it doesn't matter. How does somebody get a hold of you and just love exactly what you guys are talking

12:35

about how they get selected is the best place to reach out to me and I'm

12:39

very good. All right, listeners. Rose the man. Hey, I dashes the company. I will have all the contact information for AiDash Rahul out on industrial talk.com You need to reach out to this company. It's fantastic. They're doing great things and it never stops. You guys never stop. Because you guys just sort of eat drink this stuff on. Exactly. sort of sad and good. Thank you for doing it. But anyway, all right, listeners. We're gonna be right back. So stay tuned, we will be back with another great conversation shortly. So stay tuned. You're listening to the industrial talk Podcast Network. All right. Once again, thank you very much for joining industrial talk and a hearty thank you to Rahul Saksena, CTO and co founder of AiDash, delivering the technology delivering the innovation to help utilities definitely deal with their vegetation management. It's a brave new world out there. And it's being led by companies like AiDash, excellent conversation, exciting Most definitely. Also, you need to find trusted, trusted Sherpas to help you through this whole technology. AiDash is definitely one of those companies. All right. You need to go to distribute tech 22 must attend. It has great companies, great people solving problems. And if you're in the utility and energy market, it is a must attend, you will not be disappointed. I wasn't disappointed. But you could tell there was a lot of buzz going on there on the floor because it's pretty noisy and raucous crowd. Put that on your calendar. All right. People be brave dare greatly hang out with people like Rahul and you're going to change the world. Thank you very much. We're going to have another great conversation shortly. So you're not going to

The post Rahul Saxena, CTO with AiDash appeared first on Industrial Talk.

On this week's Industrial Talk Podcast we're talking to Sahar Ehsani, Sr. Segment Marketing Lead – Discrete Manufacturing  about “AI, Machine Vision and Sustainability”.  Get the answers to your “Discrete Manufacturing” questions along with Sahar'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 2021. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

SAHAR EHSANI'S CONTACT INFORMATION:

Personal LinkedIn: Sahar Ehsani | LinkedIn

Company LinkedIn: Intel Corporation: Overview | LinkedIn

Company Website: Intel | Data Center Solutions, IoT, and PC Innovation

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

manufacturing, intel, industrial, ai, sahar, technology, data, discrete manufacturing, absolutely, people, machine, industry, listeners, learn, happening, vision, line, processes, customers, factories

00:00

Industrial Talk is brought to you by NEOM that's NEOM.com they have a vision of changing the world for the better in almost every way. They are committed to that. They have a bold, a brave and daring greatly vision on how to change the world. For the better for all of us. They are committed to that. Go out to niobe.com get involved, you will be dazzled and you will not be disappointed. Big thinking going on there. And you know what's happening out there. Technology. Innovation is happening everywhere. And the speed at which is just absolutely blistering. You know who's leading the way Intel that's right Intel, they are leading the way with edge cloud. You name it industry for Dotto, right in their wheelhouse smart cities. Yes, robotics. Yes. And, and let's say digital transformation of the utilities. Yes, Intel is where you want to go go out to intel.com find out more and see how they can help you innovate. 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 hardhat grab your work boots, and let's go Alright, welcome again to industrial talk v number one location in the universe that celebrates you industrial heroes, you are bold, you are brave, you dare greatly you solve problems, you innovate like no other and you are changing lives and the community Do not forget that put that in your pocket because it is important because you got to believe we need you big big time in the hot seat in the Industrial Talk we have Sahar Ehsani, she is with Intel, we are talking about manufacturing technology. She is a senior center segment market lead discrete manufacturing. And, you know, we're gonna be talking about Yep, AI, machine vision, sustainability and how all that works to go there. Let's get cracking. So you get to join me on my educational Odyssey to learn from the very best in industry about that man, you get to join me, I again, I you know, you got you got incredible professionals, such as Sahar and, and she knows what she's talking about. And also people from Intel and others, that are just absolutely one. Thank goodness that they desire to truly develop, develop the innovations to be able to make our lives better, thank goodness. And you know what else is so great that they're willing to share their insights and wisdom for us, so that we can begin to learn you never stop learning? Each day, always learn that, I don't know, it doesn't sound so fantastic. But it is it got to there's it's all out there. And especially in industry, we've got to do that. Alright, let's talk a little bit about the industrial Academy. Real quick. The industrial Academy is absolutely dedicated to education. And the reason it's dedicated to education is because, well, that's something nobody can really take away from you. If you are dedicated if you are committed if you have a true desire to learn from the very best within industry, industrial academies where you want to be because we're we're talking about management leadership, we're talking about innovation, we're talking about the nuts and bolts of operations. And what are the strategies associated with not in a way that is like, Oh, my gosh, this is a 75 hour class and and it'll drive you crazy? No, no, the responsibility on your part is one, that you get the flavor you get to hear from the best that represents let's say IoT, or edge or cloud or reliability, whatever might be the best. And it's up to you because you have a spirit of learning is to go out and find out more all the contacts and information is out there. It is a big, big win for you continue to learn, grow, and and just, you know be the best you possibly can be because

04:39

for whatever reason, maybe I've got rose colored glasses. I can't tell you why. But I really truly in my heart of hearts, believe that industry is truly the key that can change lives, change communities and change the world. And it might be Pollyanna. It might be Well over the top. I like bold, brave goals. And and the industrial Academy is focused on being able to provide industrial education for people who need to know. So that their lives can be changed, their companies can be changed, their communities can be changed, and so on. And so the world. Alright. Let's get going. I get all Tingley about that type a type of conversation now. So hard, but it's been a bit of a long journey to get her on the podcast. But fear not she does not disappoint. great conversation, great insight, great stuff that's happening at Intel. I've got her form here, you go out and find her stat guard. All very impressive. So we're going to be talking and yeah, you're gonna say, Scott, Oh, you've already talked about AI? Yeah, we have. But it never stops, continues to grow continues to evolve, we never stopped. You know, we've talked about machine vision, looking at the ability to look at products and improve the quality and so on and so forth. And of course, sustainability. What does that mean? How does all this wonderful innovation help sustainability because it also has to sort of work hand in hand. If there's a gap that is missing from that particular value chain. Now, that's a problem. But Intel sohar team Intel are working diligently not just in manufacturing, but also in in the energy space and oil and gas all everything that you could possibly at the heart, you know, entails right there. All right. Enjoy this particular interview with Sahar Sahar, welcome to industrial talk. How are you doing?

06:47

doing very well. How are you, Scott?

06:49

It's been a long time in the making to try to get you on the podcast.

06:54

Yeah, sorry. It's my bad I might sign.

06:58

You don't need to you don't need to cower away from me. I was just I was so excited when we first met. And, but but business moves on people get busy. It's all about that. But you're here right now. And listeners, you're going to be impressed. She's got a mad statcard out there on LinkedIn. Absolutely. Of course, I'm looking at her form. And that's impressive, too. So you Listen up, learn educate with me, because I'm not the sharpest tool in the shed. But Sahar is she's a sharp tool in the shed. All right, for the listeners. So Mark, give us a little background on who you are.

07:34

salutely first of all, it's a pleasure to be here, Scott, and have this conversation with you. I'm very excited for this conversation. And about myself. I'm big global segment lead for discrete manufacturing industry at Intel IoT group. So basically what I've been doing in align my career in Intel, and outside of Intel, I've been engaged with manufacturing, all my career. And in my current role, what I do is of working with partner and manufacturing and customers to facilitate and accelerate the digital transformation that's taking place currently around the goal. It is listeners, it's really awesome. It's very exciting. We are just in the front of the line and helping everyone to make those cyphy in

08:35

the future baby in the future is now man, it's now

08:40

all those things that we were seeing in the movies is now happening. And it's very exciting.

08:44

It is. I was just watching Minority Report and and some of the things that they're going through. It's like, Oh, that's happening now. Oh, that's cool. Oh, you know, it's pretty exciting. Now, I'm not. Again, we've established I'm not the sharpest tool in the shed, can you define discrete manufacturing? How's that different than well manufacturing?

09:03

Absolutely, yes. So, when we look at the manufacturing Overall, we can divide it to two or three segments, let's say three segments, for the simplicity, one is discrete manufacturing, then you will have individual product as an outcome but those products can be assembled through bringing different parts from different location in one place. They can be built all in one place or they can be built around the globe apart and get assembled like automotive industries, right, like consumer goods, like electronic and devices. So all those parts some can be made in China, some in Vietnam, etc. They come out to another Assembly Facility and they get assembled and after their life is done, you can disassemble them again and cycle them. But when it comes to their hybrid, that's another section of manufacturing hybrid, which is the process and discrete manufacturing together. It has like some sort of batch processing like food and beverage. So for example, if you mix two chemicals with each other for pharmaceutical, you need to continue that process, you cannot stop it, you cannot ship it to somewhere else around the world. Because, yeah, so that's part of the process industry, but batch processing, because things get prepared in batches. And then at the end of the day, get they get packaged, which is part of the discrete manufacturing, that's what they call them hybrid. The other one is continuous process manufacturing, like oil and gas, right? You see a wealth of oil, you cannot stop it, that needs to continue, and you need to keep take care of those processes. They call it continuous processing.

10:59

I like it. That's a good explanation. Now, listeners, you're better because of that explanation. Now, you know, don't, don't come to me and say, Scott, I don't know. All right. One of the topics that we're going to be talking about, and what we're going to feature on this particular conversation is going to be talking about AI. AI is application to manufacturing, and, and artificial intelligence, this machine vision stuff, give us a little just sort of your definition of, of artificial intelligence, and its application and manufacturing.

11:32

Absolutely. Let me give you a little bit background on bringing in this technology to manufacturing Overall, we want to make manufacturing smarter. We know in some of those manufacturing, like automotive, there are lots of automations already going on. We know my factoring like silicon manufacturing, like silicon chip, like Intel, when you look at their main factories is really well automated. So what is AI is really bringing to the table for those very fully automated manufacturing. When you add AI, basically, you leverage tons of data that is being generated by those automatic automatic devices. So you get that data, you analyze it, you make a decision based on the result of that. So that's what artificial intelligence does. If you get the result, and immediately as a control rule, feed the information back to the manufacturing line, that's a closed loop control. And during that you have the real time control of the manufacturing production. And then all of this together improves the manufacturing processes and efficiencies improve manufacturing uptime, right. So if you want to look at the strategy of how the technology are coming to the manufacturing board, I believe personally, AI and machine vision are going to be the front of the line, because they are easy additions to the already existing technologies in manufacturing, whether very advanced manufacturing, like auto or semiconductor, or they manual type of manufacturing, like machine builders, so you can add or port builders or textile companies in China. So let me explain a little bit about how AI works.

13:31

But let me interrupt real quick, let me interrupt real quick. So what I hear you saying is that it's it starts, it starts with the ability to collect data, but there's a tsunami of data for lack of a better term, I me, Scott, is I'm not going to go through a spreadsheet, look at all the data that's coming off of machines or though or the line, I need some technology to help facilitate and make some decisions that allow good data to come through and throw away the bad data. Is that right?

14:02

Exactly. That's absolutely true. And that's artificial intelligence. You connect it on connected if they're not connected already. And then you collect the data, and you analyze the data. And based on that analysis, that happens automatically, you make a decision, what you want to do next

14:21

is your zero learning component to AI. It's one thing I can create parameters, I would imagine you're the expert, I can create parameters that certain data gets through is that can that can I learn and be and hone and be more refining? as I grow and be able to improve the analytics of that data for my my business?

14:45

Play? Yes, the data machine learning aspect of it. So the algorithm that you add to the computer that is running that algorithm basically, it gets better and better terabit more data, one of the main challenges that we currently have in the manufacturer is that they have a very high yield is finding bad parts. Because if you want the device to, to locate the bad part in a production line, you first need to teach that algorithm what a bad bad part is. So if a manufacturer has a very high yield means that they do not produce so many bad data. So sometimes it takes three months to collect bad data in order to train that algorithm. And those algorithms, they get better over time as we get more data through them.

15:42

And it I would imagine, so hard that that, if I want to be competitive going forward, if I want to be that, I want to have some sort of legacy sustainability, when it comes to my business, I'm going to have to embrace this, I'm going to have to figure it out. But you know what the problem I have, and help me understand this. I just think of costs, I think it's going to be expensive. I know today, what I'm looking at. And if you're telling me I got to go down this road, I have, I don't have that clarity, what what's the economics behind all this, that's

16:15

a very reasonable, actually concerned by any type of manufacturing managers or executives. So we all if you're living in a very competitive board, all the customers, they want perfect products, but cheaper, and everyone is trying to pay that. So in order to keep that profit margin for my factors and keep our business running, they need to have solutions that make business sense. And usually, that's why that I was thinking that AI and machine vision, powered by AI, our best solution to start speed, because you don't need to change much on your manufacturing line, you just add the machine vision, you assess the quality of your devices, and usually within eight to 12 months, you get the positive ROI.

17:07

Spectacular, you know that? That is without spectacular. I mean, if if I had I mean, I was evaluating investments that had a three to five payback, right? took three to five years just to start looking at things that are positive. And that's pretty common. Now, but I don't want to gloss over this. But explain what machine vision is? Oh,

17:31

yes, let me explain what machine vision is. So let's imagine that you have a factory line that has a product and you want to inspect it, you put a camera on it, and you connect the camera to a piece of compute. And machine vision actually is capturing those images, and analyzing those images through a AI algorithm on that compute. So there are different type of there are different types of technologies being used. anomaly detection is one of the paths that people take, basically, looking into good and bad data, the good data, you don't mind you just say good data good go away. You don't want to keep them but the bad data you can locate and you can say this part is bad. So that's how machine vision boards by looking taking images and being connected to compute that has AI algorithm on it.

18:29

So this is how I see it happening this I see it rolling out. If I am able to deploy AI deploy the machine vision in the right area, I might capture anomalies within my manufacturing quicker compressing that time, not waiting for it to get shipped off to my customer, who then finds out that it's not in line with their specification and have that absolutely awful conversation.

18:57

Yes, you nailed it. Those are the cost saving that we will get out of installation of machine vision. I like to add one more thing. On the machine vision we do have two different types of machine vision machine vision technology is based based on a camera and a separated PC. And then there are integrated a smart camera that they have a smarter chip, but it's integrated on the camera. So I want to be clear if any of the audience they have experience with smart cameras that compute based on algorithm is embedded in the camera itself. But around the effect of it. That's very true. When you do the quality inspection in advance to the processes. Let's imagine you have a silicon chip that you need to put a solder ball in and it goes through mold etc. Or I don't know even in automotive part when you are welding something and then it goes on it gets painted. Now at the end of the line then it's getting inspected and you see that defect on Do you need to do the reward on the whole car is a lot of manual engineering work, which is expensive. But if you had figured out that weld, defection early on in the processes, you could just remove it because it's so fresh and you can redo it and so you don't have the removing the paint, etc, in an automotive industry. So that's one part of it. The other part is customer credibility. You don't want to send defective products to customers. That's not good nowadays, for any

20:36

good for anybody. That's what I got Jeffery, not good. See, you know what's interesting, I believe, people like you, and others, Intel, whatever. This strive to be able to produce a to produce solutions that generate high quality products. Okay, we consumer, me and others. I'm telling you right now, we take that for granted. We take that for granted every week. I remember growing up, and I had a 57 Chevy, I still have it by the way. 57 Chevy, there are things that I just sort of accepted. The door didn't close, right? Doesn't matter. It's just that we would never, ever tolerate any, any flaws or problems with our cars. Even the inexpensive cars have a high-quality output. It just it's because of people like you.

21:35

Yes, absolutely. Because the world has changed computer is doing the job of human. And with this AI solution, they're really replacing those repetitive boring jobs, yes, to take the jobs away from employees. Actually, those type of jobs are very repetitive looking at every weld pieces to make sure that it's okay or not you might meet it is just like boring, there is not advancement for employees. So they can really give those jobs to the computers. And robots do that for us. And they do it with more accuracy and faster.

22:10

But sorry, you're you're bringing up an interesting point. And if I had a nickel every time somebody said, Hey, that AI is going to take away my job. I always say it'll take away and deal with the mundane. But the the intellectual component of your job must be done by you.

22:27

Exactly. Yes, absolutely. Actually, I think Ben, if you need to look at it this way. Maybe in the older generation, some people got used to those repetitive jobs. And kind of I would say people like to do like normal things forever. But not new generation. These people, they really grew up with computers and cell phones, etc. They don't like to work with 30 year old technology, they don't like to learn it. And they don't like to do a lot of physical job. So they really like to use their brain, they're into writing software's and thinking about designs and innovation, etc. And this new technology is a great fit for them, why it is a great fit for those leveraging the learning and that blast. When experiences that they had it the older generation. So they learned all of that they built the experiences, and now they need to transfer it to the newer generation. So some of these technology captures those learning as part of the AI solutions or trainings for these new generation. So those learning estates and would be leveraged years over years,

23:39

it I don't see any of your options. If I'm if I'm manufacturing, if I'm small man, whatever, whatever my manufacturing, business it I, I have to recognize that this I have to go down this road. I can't say business as usual, given the realities of what's taking place in the market, and the technology and the innovation that's coming out of, well, Intel right now I can't. And it's because if I do, then somebody is going to take over my job, somebody is going to put me out of business because they're going to be more efficient, more competitive, greater quality, everything that I want as a consumer, I will not be able to meet that.

24:25

I can give you an example you reminded me of a very good part of this technology, adapt adoption and transformation. A lot of smaller small medium companies they they really didn't want to adopt be the first one of adopting industry for Dotto in their manufacturers. They were waiting for others to adopted getting technology mature enough and adopting it and then suddenly pandemic hit and impacted all these smaller and medium businesses. Now they're taking get more and more seriously in Germany, in Australia, even in China, because they figured out that a lot of manual processes are happening between their factories. And now because of their pandemic and all those cocksure factories, they couldn't get enough risk center enough resources. And let me give you some use cases, that just gives you the understanding of application. For example, previously, the machine builders who build the equipment for automotive companies or, or any other factories, pharmaceutical companies, etc, they would build the machine sell it to them, and every year they would go to do software upgrade, or if there was issue, they could do their maintenance of equipment send an employee there, during COVID, that couldn't happen. So the equipment would go down. But with AI and connectivity, they can have access to the machine data, not the processes data that has the IP of the manufacturers, they can only get access to machine data and how the machine is performing. And when they see something is not working out very well, as expected. They catch it early. And they can do all these software upgrades, etc, remotely without sending any video. Just imagine how much of efficiency is in that just by adopting led by by adopting connectivity, let's say,

26:32

let's see, this was interesting, because that same in we spoke briefly about this asset reliability, I can take that same asset, collect the data, recognize the challenge, deploy somebody in maintenance, saying, Okay, now you need to screw this round piece and this whatever, you don't need anything else. That's what you need. Go out there. Do it done. You know, that that is that is so powerful. It's so impressive. It is happening now. It's now. Yeah, yeah, it's not pie in the sky. You know, Buck Rogers, stop, no, wait isn't done. All right. So So tell me, what are the roadblocks? I mean, either I'm just sort of all geeking out on all this stuff. And I'm all Yeah, I'm all in. But there are people that are pushing back? What What, what is that? roadblock? What? Why?

27:27

So actually, I think we talked about all of this goodness, that technology is bringing it to manufacturing. But how really, can we make it real? It's not a one company's job. They're an ecosystem. And actually, I think that's a beauty of the work that Intel does. We work with a broad ecosystem from software companies who build the algorithm, and is optimized an Intel silicon, we work with OEMs, who are already leveraging our silica and but we work with them to come up, come up with the flexible software defined as devices in a set of fixed function devices. We work with manufacturers itself to understand their pain points and address it in a way that really, really puts that pain point in consideration, not because technology is cool and nice. It's related to business cases for them. So this the I think, the Roadblock, the main Roadblock, is moving in synchronized way all together. Because we all need each other to make these to enable this technology and make the commercial version available for the customers to be able to deploy it. We do have that ecosystem partners. And we do have some of the solutions that are already available. But there's a still a long way to go.

28:52

So how are you you hit the nail on the head? I'm always talking about especially today. We need to collaborate? Not everybody has all the answers. No company has all the answers. No individuals have all the answers. And the only way that we're really going to continue to move forward in this brave new digital world, right? It is through collaboration. It is understanding problems. You're not going to just go out there and hey, I'm building this widget and it does this and nobody wants it. Because it's not doing anything and might solve something I don't know. But it is all about collaboration because you cannot innovate without that level of collaboration. You are absolutely on fire. so far. All right. Let's talk once again, we've got you know, we go out to industrial talk we try to promote and I know that you have some webinars coming up but we don't have really any date. So listeners, there are going to be some webinars that are going to be put on by Intel. And I think that it's important to be able to participate. Am I am I on point on there?

29:55

Yes, absolutely. We are going to have a series of webinars as you Intel industrial solution builders event. So we used to have all these in person, but because of the COVID now is virtual. And because we understand how people get bored quickly on virtual platform, we have these small, like one hour webinars that come with our partners. And we talk about the solution that are already available in the market. We talk about use cases, real world use cases. And we share the pain points and the path that these end customer manufacturing went through to find the right solution, right partner in cooperation. Fantastic webinar series is going to take place from beginning of October through mid December, please stay tuned, and we'll share the schedule with you.

30:47

Yeah, and I'll be able to let people know because that that, once again, is an important conversation to have. And listeners, you just got to keep learning, because we're all about educating, collaborating and innovating. And we've got to educate and why not learn from? I do I learned from Intel? Because I can and that's a good thing. It's not a bad thing. All right. Couple of cash questions. First off, I want to get a hold of you. How do I as a listener, get a hold of you? What's the best way?

31:16

Absolutely. I'm on LinkedIn, please feel free to send me messages. And I'd be more than happy to help. And I think that would be the best thing easiest and fastest in the world of technology.

31:31

exciting time. I'm telling you. There's a hobby that I like, of myself. I like I like cooking. If you can believe that. I love cooking. I love it a lot. Can you share with me because I'm such a bozo about this. A recipe. When I say recipe, what was one of your favorite foods growing up?

31:52

Oh, interesting. Well, I I from Middle East and Iran specifically. So kebab is my favorite foods. So it's K, A, B, or p.

32:07

Got it? kebab. See soap. Okay, see, I love that stuff. So I'm going to do this, I'm going to I'm going to cook some kababs. And then I'm going to demonstrate that I support her because I love cooking. And I love that you were fantastic. Spot on. All right, listeners, we're going to have all the contact information for Sahar, we're going to also be able to just just bear with me on the events that are being put out by Intel, they will be out there for you or not. It'll all be out there. Thank you so hard. Thank you very much for joining industrial talk.

32:48

Absolutely. It was a pleasure. And as you know, we all are very passionate about technology and the positive outcome that it brings.

32:59

Yeah, it's so funny. I get to talk to people who are not passionate. I haven't unfortunately for me, I haven't come across anybody that says, Yeah, we're just deploying some AI. No, nobody does that. everybody's like, Yeah, man. We're doing this. And we're doing that. And it's like, it's exciting. All right, listeners. Thank you very much. We're gonna be wrapping it up on the other side. Stay tuned. You're listening to the industrial talk Podcast Network.

33:31

All right. Oh, Hardy, eight, I mean, hearty Thank you to Sahar and Team, Intel. And what they are doing in the world of manufacturing is it's an exciting time, as I mentioned in the interview, exciting time, great time to be alive. Let's focus in on all the positives that are taking place. And just remember, industry, you're changing worlds, you're changing lives, that means you are doing great things. And we need you. We need you to educate that's again, go out to industrial Academy, right? It's out there on industrial talk.com. And if you want to participate in it, great. If you want to be an instructor, great. If you I'll try to make it as easy as I possibly can. We've got to get your information, your insights, your wisdom, out to the masses, so that we can educate as many people as we possibly can have all the exciting stuff, all of the cool tech, all of the innovations that have taken place. Be bold, be brave, dare greatly hang out with bold, brave and daring greatly. You're going to be changing the world. Thank you very much for joining. It does real talk. We will be back with another great interview.

The post Sahar Ehsani with Intel 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!

Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2020. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

HUMERA MALIK'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/humera-malik/

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

Company Website: https://www.canvass.io/

Twitter: https://twitter.com/CanvassAI

IIoT-World:  https://iiot-world.com/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

NEOM:  https://www.neom.com/en-us

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

Safety With Purpose Podcast: https://safetywithpurpose.com/

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

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.

The post Ms. Humera Malik with Canvass AI talks about Data and Industrial Sustainability Goals appeared first on Industrial Talk.