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

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

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

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

00:04

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

00:22

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

05:33

thanks for having me.

05:35

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

06:14

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

07:50

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

08:20

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

09:06

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

09:57

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

12:07

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

12:32

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

15:58

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

16:43

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

17:48

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

18:03

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

18:57

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

19:33

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

20:40

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

21:12

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

21:35

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

22:12

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

26:09

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

26:29

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

27:14

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

27:36

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

28:27

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

29:17

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

30:47

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

30:51

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

33:04

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

33:09

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

33:14

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

33:32

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

33:41

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

34:23

listening to the industrial talk Podcast Network.

34:28

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

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On this week's Industrial Talk we're talking to Alok Aggarwal, CEO of Scry Analytics about “Transforming industry through AI, ML and Predictive Analytics”.  Get the answers to your “AI/ML” questions along with Alok's unique insight on the “How” on this Industrial Talk interview!

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

ai, industrial, hype, people, electricity, repurpose, world, industry, devices, listeners, create, iot, conversation, apps, motors, analytics, alok, big, article, sensors

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 Capitol Logistics.com Or just call them. They're great people 800-227-2471 and AI Dash Now we all know about satellites. Yep, they're up in the air and they're looking down. How about AI Dash combining AI technology to be able to give us greater insights into our vegetation management into hazards that exist out there in our industrial space? Yeah, that's powerful. That's tactical. That is insightful. That's AI Dash go out to AiDash.com Find out more. They're doing great things in the world of AI.

01:09

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, once

01:27

again, thank you very much for joining industrial talk number one place that celebrates you, the industrial heroes all around the world. You know why we celebrate you? Yeah, you got to ask that question. Why we celebrate you here on industrial talk. It's because you are bold. You're brave. You dare greatly. Absolutely. You're solving problems. You're changing lives in a positive way. You're changing communities, of course, you're changing the world. That's why this platform is here for you. It's a celebration. All right. hotseat time. The gentleman's name is a Alok Agarwal. Now he is the CEO and chief was was a chief data scientist at Scry Analytics. That's S C R Y. And this is an important topic. And you know, it is it's not out of reach. We've got to talk about AI, machine learning. And of course, predictive analytics. That's what a look brings to this particular conversation. Let's get cracking. Yeah, yeah, let's get cracking. You ever talk to somebody. And you realize, Wow, I don't know a fraction of what that individual is talking about. Now a Alok does a great job. He, he brings the history of that is around AI machine learning the history which which I'm passionate about, how did we get here, you always got to look at the history. And of course, a look brings all that. But it was just that you're going to enjoy this particular conversation. All right, he just are because he brings the lumber and the truth. And it's just a great conversation. And hopefully we'll do more. All right. So I'm out walking the dog. Because that's what I do every morning. My dog keeps me young. So I'm out walking the dog and always thinking I'm thinking about things. This time, I'm thinking about all of the I guess blogs or white papers or articles that exist out there today. It's AI. It's a lot, right. And in there in all of those are, if you look at him, you stack them all up, right? There's just tremendous solutions, tremendous wisdom, tremendous insights, all buried in there. But they're buried there. They're deep in the bowels of these blogs and white paper. And I was thinking if you're doing and I don't mean to be provocative. Yeah, I do a little bit but let's just say I'm, I have a certain thought about all of these blogs in these white papers. Because I think we're at a point where I know that I'm inundated by just information coming out of that terminal. It's like hitting me right in the face and it's all this other information and I'm just me, I wish I wish I was a computer because I would soak it all up, but I'm not right and it's hard to to consume it. So I think that there has to be a shift because right now I don't think people maybe a few maybe if I'm dedicated to a specific location, I'll read the articles. But I know that for me, I'm being changed for the DNA out right. And I I'm one that likes to be see it be entertained, talk about it. And I think a lot more people are doing that as we speak. So with that said, walking the dog, and I came to the conclusion that, wouldn't it be great to dust off these, these blogs, white papers, whatever, repurpose them into a real human centric conversation, record it, look at it. So the format would be, hey, hey, you wrote this article, you got street cred, man, you've got that thought leadership going on. There's the article, let's talk about it. Let's talk about the key points, it's sort of the cliff note version, but at least it gets to it. And then if that if the listener, because that's easy, right? I don't have to pick anything I have to do is just sort of listen, if I'm the listener, I don't have any friction, I could go back and say, you know, I want to read that article, I want to get that or I want to, you know, whatever action call to action there is. So I just,

06:02

I really would like you and others to think about how you can repurpose these wonderful, absolutely brilliant articles, or blogs, or reports, or white papers, and repurpose them into a conversation. And no matter how you do that, that would be great. It'd be great on the industrial talk podcast. But the reality is, if I'm, if the industrial talk is here, specifically to educate, okay, and to collaborate, and to innovate, and all of the things that are happening within industry, that has to be part of it. And and we have to get that message out this, this idea that the article will somebody might might find it or whatever it might be, or, or we'll send it into an email marketing campaign, whatever it might be. We're just inundated. So we've, we industry have to really think about how we repurpose those, those rich content, Insight driven, reports, some blogs, but repurpose them, figure out how to do that. And, and come on the industrial talk podcast, because I'll definitely, that makes me want to read them and makes me want to talk about it makes me want to share as much as I possibly can. Because the listeners and industry as a whole, we got to keep on learning we got to keep on a grove and all right. So I'm at a Alok in California. Again, he's smarter than me, which is a lot, don't be offended by it. But that's not a very hard bar, but you're smarter than me. And what you'll gain for this particular conversation is the fact that you'll see him and his passion and his desire to be able to utilize data in a way that is predictive learning, and all of the stuff that's associated with that, and, and be able to help us in the world of industry in the world of manufacturing in the world of utilities, you name it. Help us do our jobs better. And and locusts is just an absolute delight. Enjoy the conversation with my friend. And now your friend. Oh, look. Alright, look, welcome to industrial talk. How are you

08:33

doing today? Great. Thank you for having me.

08:37

I am so excited about having this conversation. I mean, you bring a wealth of knowledge. But instead of me telling the listeners the wealth of knowledge, your stat cards impressive out on LinkedIn, give us a little background, a little 411 on who a Alok is.

08:54

So thank you, I get my PhD in Computer Science from Johns Hopkins in 1984, which included algorithms part of basics of machine learning computer vision, something called computation geometry, which is goes at some basics, joined IBM Watson Research Center, which is about 40 miles north of New York City worked for them for 16 years during this period, taught at MIT for a year came back we used actually machine learning in 1991 to 95 timeframe for improving paper mills steel mills, so actually put it in practice during that period. There were no open source. So we actually wrote our own algorithms, then became the Director of Strategy and after that started the IBM India research laboratory 230 PhD study masters during 1998 and 2000. Then I quit to start another company called evaluator which has not much to do with AI and machine learning. The co founder is still running it we started in essentially in January 2001 December 2000. And it's about 3000. 500 people worldwide, but I wanted to go back to my roots and started scrying. It's in 2014 in February 2014. Basically, doing machine learning AI and building products and what we call enterprise software apps. We are built, we have built about 26 of their apps. Scry the word itself is an interesting word. It means you can use it in Scrabble, you can actually

10:29

yeah, it's a powerful word. I kept screwing it up. But now I know it's Scry

10:35

Yeah, you can convert practice crying, calm Scrabble, and people will be looking at you, especially your wife and kids that you've gone crazy. And, but it means crystal ball gazing or fortune telling. So Nostradamus is considered the biggest crier. And since we're doing a lot of predictive analytics, we are essentially predicting the fortune misfortune of companies, individuals, entities and so on. And hence the words cry. The company is based on a thesis that actually unlike the thesis of 1950s, in AI, the hype in the bus which was they will create a general purpose AI machine often called artificial general intelligence, which Hal 9000 was portrayed as in Odyssey 2001. Space Odyssey, were one of the founders, one of the advisors to Space Odyssey 2001. Space Odyssey was Marvin Minsky was one of the actually considered as one of the three fathers of AI. He, this was kind of his imagination of Hal 9000 as the artificial general intelligence computer, and those of you would have seen it wouldn't understand what he was talking about. The hype went bust in 1977, and one of the other fathers of AI, McCarthy, he's one of the New York Times reporter asked him 1977. So what do you think of artificial general intelligence? When do you think it will actually happen? The hype had gone bust. And he said very nicely, maybe in five years, maybe in 500 years, what we need is 1.7, Einsteins and 0.3. Manhattan projects. For those of you who may recall, Manhattan Project was the one, which basically helped us create atom bomb to end the Second World War. For better or worse, I mean, that was what Manhattan Project was. So this time around our thesis is that there will be a Cambrian explosion of AI apps, very much like what happened with pumps and motors after the Industrial Revolution. And today, motors are pervasive. In fact, in my room, there are at least three motors running one,

12:45

I have to interrupt you when you said we had this conversation a couple of days ago. And he's, and I didn't follow up on it when you said you got a couple of motors in your room. Because you got to know where I'm going. I'm just sort of thinking motor. What do you mean by that?

13:01

Yeah, you have a motor and a fan, right? Your motor in your PC, your motor in your laptop? So three motors running, right? I mean, we don't even think about it. That's what the whole point is, right? What do you mean by that we have motors running. Yes, there are three motors running. And that is what will happen in the according to our thesis in 2035, there'll be 1 million different apps running all over the world, which will be commercialized, which will actually be providing useful. The utility useful KPIs, reduce costs, reduce energy, and so on. So with that, as the thesis, we decided in 2014, that we will create a bunch of apps to be more precise, two dozen apps, and we are pretty much there. And we're not selling them. And working with some of the top tier firms, providing them very high end services and selling our products, or what we call enterprise applications, because they all work with using API's. So that the people do not have to destroy their current solution. They can just put it, plug it in. And that's why these are That's why they're called apps.

14:11

So what industry do you tip at Scry? What industry do you normally focus in on?

14:18

So two industries we are very big on one is related to financial services, particularly banks, we're gradually going into insurance also banks. asset managers are our biggest industry so to speak. Second is related to IoT particularly Industrial Supply Chain Management, smart cities, that's all where IoT gets used. In fact, one product is quite, quite horizontal called Malaysia which comes a Latin word for coalition and putting together it's putting together a diverse set of data sets, which is sold we're selling to banks for mortgage operations for small medium business lending for KYC know your customer and ID checks and verification for onboarding, etc. The second one is called consensual again, a Latin word for consensus, often called out concordance or harmony. And that is all related to enterprise apps related to IoT, smart cities, and so on. So those are the two big ones. And then, of course, technology Telecom, ends up using quite a bit of IoT. So we will gradually, we are already selling to a few companies in technology and telecom. But we'll probably sell much more,

15:35

are you are you considering the IoT solution, the app in a manufacturing type of environment,

15:41

we are already selling it to manufacturing environments. So in particular, one of the very important apps, which people often forget, in IoT world is that the devices or sensors may actually go back to the data coming in itself may not be good. And if the data incoming data is bad, then obviously all the analytics that can be done will be bad. So one of the sub products of consensual is called IoT doctor. And basically it is for the health, checking the health of the sensors and devices, because sometimes the sensors and devices may go bad themselves. For example, unfortunately, somebody lights us cigarette close to a sensor, the temperature will go up, the smoke will go up, carbon dioxide will increase. And if these are some of the things that the sensor is measuring, or the device is measuring, obviously, it will have a spike. Similarly, maybe there is a pipe in a manufacturing plant, which is emitting steam just to let the pressure off every two minutes. Then during that period, the device which is close by could have strange readings, the other part where sensors and devices may not go back, but where they may not be able to communicate effectively with the cellular station is because of weather and so on. So many things caused that. And that's the first thing that you want to make sure is that the data is at least 95%. Correct.

17:08

That's interesting, because I never really thought about it. There's been a plethora of of IoT, the conversation, IoT, everything that's going out there splitting the devices out on these assets, all of that fantastic by digital transformation. Got it. But I've never really spoken to anybody that talks about, hey, we, the device eventually could fail,

17:35

right? Yep, the device could fail, the battery could go down a single failure as the battery goes down, right? But the device could fail in many, many different ways. I mean, we know all the equipment fails sooner or later. So how do you know it hasn't failed? And it may feel temporarily or common?

17:51

And senior? You're compressing that time, right? You might, and that's where the AI solution is to say, Hey, we got a problem. Compressor time somebody goes out, replaces it does whatever it has to do. Yeah. And affect the change quicker.

18:06

Which Exactly. And if it's a smart water meter, for example, I mean, San Jose Water Company doesn't have to go out, they can just tell me Hello, can you please do us a favor? This is where the battery goes? Can you please put it in? Because it's good for you? It is good for us. It's good for you. Because if you have a burst or a leak in your pipe, a smart water meter will immediately tell you as an alert. That's what has happening. It's good for us because we're getting data in real time using the cellular device.

18:34

Yeah, yeah. And then when we start talking about API's, right, you don't have really any limitations API's allow you to take your apps and be able to plug and play to. And that's

18:45

the reason why we call them enterprise apps. I mean, it's very much like, I mean, I would say a smartphone app and iPhone app, but the difference is that these are for enterprise is not for individuals, and you can literally plug in there and and get going in a matter of a day or two with the whole process new process.

19:03

And from from my perspective, what are we talking about from an ROI perspective, what what are we are we are we looking at a an expensive solution or something that is economically viable

19:19

move, these things are extremely economically viable for two reasons. One is what I would call Moore's law, which basically, Gordon Moore who was the founder of Intel, in 1965 hypothesized that the price of semiconductors will go half in two years or the number of semiconductors on the chip may double every two years, which would I mean, this is an exponential thing right? If it implies that in 20 years, the price will go to the 10 times I mean the number of chips or semiconductors which is on 1000 times and of course we have not been in this game for almost 60 years. So it's Not surprising that it has gone up at least a million or 10 million times, if not a million times. So this obviously reduces the price of computation reduce the price of devices substantially. The second reason why these things are also quite inexpensive is there is a lot of open source software. So I was talking about 1991 to 1995, which is when we had to build our own machine learning algorithms and code them, the algorithms were there, we had to code them, right. So everyone had to code their own algorithms, there was no open source, which was literally free of cost, where you can start from literally not from ground zero, but probably from cloud to going up. So all of this has made the systems quite inexpensive. I mean, even for industrial systems, where we sell a platform or the product together, for IoT, Dr. It starts as low as $30,000. For a year for, for small, for a small manufacturing plant. I mean, that's $2,500 a month, roughly 1/3 or 1/4, the cost of the operator who's running it,

21:16

and see what's interesting, what you're talking about is constantly being driven down. Because yeah, as greater adoption happens, right? More people are gonna say I need I need it. And that whole, that whole juggernaut that wants to move forward definitely will continue to drive down the prices,

21:33

absolutely. And open source will continue to drive the prices. And I mean, if you look 15 years ahead, not five years, quantum computing will be the next thing which will be after Moore's law because more employees saturating now, but that will begin to drive down the prices, because you can do much more computing using quantum computer. So I think there is a lot positive that's going on, for the humanity worldwide, because suddenly, it's not only us, or Canada, or OECD countries that can use it. I mean, countries like India, China, and China, agencies are still much better. But India and other poorer countries are full time using it.

22:14

So that's a beautiful thing alone. That's that's, that's transformative. And that's not out of the reach of small companies, big companies, it doesn't really matter. It's, it is truly transformative. And we better the world as a result of that. And I yeah,

22:29

I mean, I'll give you one example, which is very, very interesting. There is a company which has set up a $2 billion plant in India, which is going to create 2 million electric powered scooters. Now India is a pretty dense place. I mean, scooters, motorcycles are used all the time. And these will be all electric powered scooters by 2025. If they continue on the path, the gas gasoline powered scooters will be and motorcycles will be all gone on our ability literally replaced. And all of this is happening. If you look at it, it is all comes down to the ability of Moore's law. And I mean, the ability to produce things much cheaper and better. both hardware and software.

23:17

So that's, that's, that's pretty cool. Come on. I mean, listeners, you gotta you gotta sort of sit back and say, Yeah, that's the future is pretty god. Cool. I like it. Now. You had me, it's all cool. The conversation that we're having right now it is really bitchin. Now. What are the what are the what's the big problem? What is that? You know, this is all great. But you know, there's always robots. What is it? Yeah,

23:44

exactly. All hypes eventually come hate against a wall, right. I mean, I mean, I'm sure the three founders are the fathers of AI. Turing. McCarthy and Minsky are turning in their graves and saying, what, what did we do wrong? Because they're five hit the wall in 1975. We are on a course where this hype could also it wouldn't go bust. Even the previous hype had a lot of positives we wouldn't have. We wouldn't be working on where we are working, if it weren't for that height. So I'm a very big believer that hypes have very positive things to do for the society. For example, people think deep learning networks came recently. Soviets as part of that hype in 1965 Eva Hankel in Soviet Union now in Russia, actually already created an eight layer deep learning network with his student Lapa, they already gave an algorithm in 1970 How to Train such a network. Now why were they not able to do it again comes down to the price of semiconductors and the price of these right? It was so expensive in 1975. If you had to create 86 billion neurons which artificial neurons which exist in a typical human, it would have cost the entire GDP of United States, which was $3 trillion. Right? So that's why that hype fell apart. Now what is going to slow down this hype, or what we'll need to think through how to break through that barrier, is that as these machines at the more we train them, and the more accurate they become, then rely on more and more variables or parameters, as we call them. And to train on those parameters, you need much bigger, deep learning networks, and therefore you need much more electricity, because eventually it comes down to servers. So some of these things, I mean, we're already seeing in Bitcoin is a very good example, where you have a blockchain and it basically ruined one of the cities close to Quebec completely, because miners when they're Quebec, the city said, Okay, we'll give you electricity for rather cheap rates, all miners went there. And literally, they had to raise the rates after a few years, because they did not have electricity to give to the locals. China has same problem. They also realize, Oh, my God, we because a lot of these miners in Bitcoin, were working in China. And they suddenly realize, Oh, my God, we are working, we're not creating electricity from fossil fuels. And here we go. So that's one example. But that's the one can argue that a standalone example. But I'll give you another example. GPT three, which is a natural language processing, natural language generation. These guys actually trained it, they spent about $4 million that we know of, I mean, we don't know the exact numbers, they trained it for such a long time, the amount of electricity that was useful so much, that they actually made a small mistake in their algorithm. And they didn't want to they said we didn't want to retrain it because it would have been just too expensive, both timewise money wise, and electricity wise, it said, I mean, in parenthesis, they did not say it out loud. But that was. So here are some of the examples. I mean, Google never tells us as to how much it is training. But but our estimate is that it is screening for the Google ads and what people are, they're using at least two to 4 billion variables, which means they have a farm, which is running in easily in 100 million servers, or there abouts. Now imagine how much electricity that's going to take. So So you have a climate change where AI can be very helpful, you have just like motors and pumps, which use energy, you will have aI motors and pumps equal. And

27:45

this is so interesting, because I, I remember that all of a sudden had a few years ago that I never I get it, somebody says, hey, just stored in the cloud. And of course, that's a learning curve for me and going, what the heck does that mean? Right stored in the cloud, and then all of a sudden, everything is in the cloud. And then I just, I've just thinking to myself, Who the heck is providing the power for all of this, and it must be just absolutely insane. Because, you know, every time I take a picture, video, cloud, everything's in the cloud.

28:17

And that's where it will do a lot of innovation will have to be done. I mean, something some of the good news is that in theoretical computer science and math in physics, some of this has been going on. That's why I'm a very big proponent of basics. theoretical work basic sciences, like how do you call these machines? What do you do? Okay, when you call these machines, you have hot water, then you recently this hot water? How do you get all this energy? Electricity? I mean, wouldn't be surprising if this continues if the world requirement for energy for AI machines will already exceed that us by all air conditioners in the world. So So there we have it. I mean, we'll have an interesting, a cycle where it will hype will hit reality.

29:06

Yeah, because you're sitting there, you're pulling on the thread, you go, Hey, this is great. This is great. This is great. And all of a sudden, somebody like that story you told us about that learning, and they just did they made a problem with the code. Yeah, code back. It's like, can you imagine sitting around, it's a darn it. I mean,

29:27

honestly, I mean, because we do a lot of research and advanced development in Scry, one of our PhDs he came to me and I said, Hey, he said, Look, we made a small error here. And I said, Why don't you train it? He says, I love really, you want me to train it for this small error? It will take me two and a half weeks. I don't know whether a small error is fixed at this point of time. So this is already happening with us. I mean, imagine you multiply that million times 10 million times and particularly contract I mean cities, giga cities like Neo, and other mega cities coming up with our smart cities, where this is what they will be based on. And you suddenly say, yes, the good news is neum, as a smart city is in a desert, they get sun all the time. But they use that sun very efficiently, and very cheaply or inexpensively to

30:22

produce all this electricity. It's true. And then there's the physical characteristics of power. And there's the force, there's, there's things that are just a part of power, that keep and keep a community, like, like, I look at the lights here, and there's just, it's, it's power that's pushing, it keeps it stable. There's a force there, you know, I mean, these are, these are difficult questions.

30:49

These are interesting questions. I mean, that's exactly how interesting paradigms get created, how hypes get created, how they hit the wall. And it's no different than what happened with physics, right? I mean, we hit the wall before Newton came around, Newton gave Newtonian mechanics and that continued for a few years for a couple of centuries, hit the wall again, then Einstein came around. So it's all up and down. But the overall curve is, is on the positive and direction. And I gotta

31:21

tell you, that you're the first one that really addressed the fact that this is all great. But it requires power, it requires energy to do this, right, whatever this is, it requires, and it's, it's hot. So it requires a lot of power. And as you continue to scale more, and more and more, and and, and so we wrestle with, we want a sustainable future, and use sustainable and renewable type power. And yet we want this innovation to, and it's a balance. I mean, I'm glad you're smart. And I'm not

31:58

nothing. I think this happened, the same thing happened in the Industrial Revolution. That time, of course, we were unaware of its effects on climate. But we all realized that it required fossil fuel and energy to run pumps and motors, engines and all that good stuff. I mean, these are the new pumps, motors and engines, which are, I mean, in some sense, you can I say their software, but they still running on the hardware underneath, which still requires energy, which still requires cooling.

32:28

Yeah, yeah, you're absolutely. Yeah, I'm gonna tell you, it's like it. You know, you had the Industrial Revolution. And then we had all these talking about all the industrial and now we're at four Dotto, right. And, and it's still it's just it's a, it's a energy centric type of solution. Great thinking, great minds. Gotta have it. Gotta have that energy, some way, shape, or form. Brilliant. Brilliant. We got to wrap this up a look over my time limit.

32:59

Thank you so much for having me. I mean, I love to be part of whatever you folks are doing, because you're great. I mean, absolutely. It's exciting

33:09

times out there. And you're leading the way. And I and I could geek out on this stuff all day long and talk to people to go, oh, my gosh, that's cool. That's cool. And for me, it's hard to sort of maintain my composure. How do people get a hold of you? Look, what's the best way?

33:30

I think email is the best my first name dot last name at scribe linux.com. I would say that is I actually respond much faster and quicker to email than to my whatsapp or text messages.

33:43

Yeah, you're pretty. You're good at that. I have to. I have to admit you're very good at that. And that way Scry SC, r y. So you listeners out there ascribe analytics, a lope? How do you say your last name?

34:01

Agarwal? A? I mean, if my parents knew how to pronounce these things properly in English, they would have used you rather than me. So it should have been UGR AWS, but I'll look at what

34:12

yeah, you gotta reach out to him. Yeah, listeners, you're not going to be disappointed. You got a lot of passion, man. I like it.

34:19

Thank you. Alright, let's

34:20

do this. We're gonna have to wrap it up on the other side sphere not you're gonna have all the contact information for my friend. Look at anything else that you'd and don't come to me and say, Scott, I can't get ahold of the load because he is responsive. All right. Thank you. Staying Scott really enjoyed it. Joe fires there, my friend. Stay. We'll wrap it up on the other side.

34:41

You're listening to the industrial talk Podcast Network.

34:50

All right. Once again, thank you very much for joining industrial talk and celebrating industrial heroes and learning from the very best in industry. Thank you to a loake for being on The industrial talk you go reach out to his stat card out on LinkedIn, I'm telling you will not be disappointed. Scry analytics SCR y analytics is the company. Come on facing. You need trusted individuals that know what they're talking about in the world of AI, ml and of course, predictive analytics. Alo, all right, I'm gonna challenge you. You're gonna look at those blogs, you're gonna look at those white papers, you're gonna say to yourself, how can I repurpose them? And I'm telling you right now, you give it a human component. Talk about it, interact, bring those articles, bring those things to life. That's what I'm talking about. Go out to industrial talk. Always find out more from the great people in industry. Industrial talk is where it's at. People, be brave, dare greatly hang out with a look. You're going to change the world. Thank you very much. Again, we're going to have another great interview right around the corner.

The post Alok Aggarwal with Scry Analytics appeared first on Industrial Talk.

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

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

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

00:04

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

04:48

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

05:39

Yeah.

05:40

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

05:54

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

07:03

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

07:13

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

07:25

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

08:57

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

09:33

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

12:27

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

12:56

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

15:33

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

16:09

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

16:29

Is that globally? said 25%.

16:34

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

17:03

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

17:12

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

18:04

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

18:18

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

19:33

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

19:42

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

21:16

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

21:28

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

23:03

to cycle those things down, up and down.

23:06

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

24:13

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

24:21

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

24:39

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

24:54

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

25:10

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

25:25

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

26:19

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

26:30

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

27:49

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

28:09

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

29:00

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

29:24

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

29:45

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

30:43

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

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

In this week's Industrial Talk Podcast we're talking to Mathew Sachs, SVP at CPower Energy Management about “Distributed Energy that Creates a Flexible and Resilient Power Asset Market”. Get the answers to your “Distributed Energy” questions along with Mathew's unique insight on the “How” on this Industrial Talk interview!

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Personal LinkedIn: https://www.linkedin.com/in/mathew-sachs-11a7861/

Company LinkedIn: https://www.linkedin.com/company/cpower-corp/

Company Website: https://cpowerenergymanagement.com/

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

grid, utilities, people, distributed, Mathew, business, big, demand, generation, customers, energy, technology, industrial, devices, build, innovation, renewables, power, supply, bit

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, that is right. You're saying to yourself, Scott, what? Where am I? You're on the industrial talk podcast. This is a platform that celebrates you. You're an industry hero. You are

00:33

bold, you are brave, you dare greatly. you innovate like nobody's business. you're solving problems, right? And you're changing people's lives, and you're changing the world, each and every day. That, my friends, is why we celebrate you each and every day on this particular podcast. All right. In the old, industrial talk, hotseat, we've got a gentleman by the name of Mathew Sachs, right, please make a note of that. He's got a lot long title, SVP strategies and business development. The company is called C power energy management. We're going to be talking about distributed energy and much, much more, let's get a racket.

01:21

All right, a favorite food of mine, chips and salsa. I was just sort of chewing on some chips and salsa. And you're saying to yourself, Scott, Hey, your body is a temple. Now when it comes to chips and salsa. Oh, my gosh, that is absolutely delicious. Alright.

01:38

Let's talk about some events that are coming up that you have got to must put on your calendar. The first one is the digital summit. And that digital summit is brought to you by those incredible folks at IoT solutions World Congress. It is the 11th and 12th of May. And it you know what that does. It's featuring real professionals solving real problems, and leveraging innovation and technology to make that happen. Now you can use that, put it on a bumper sticker, I have no problem with that. But the real kicker is that, you know my backgrounds, utilities. So we've got, we've got a side event. So you go over there and you say, Alright, let's see what's what's happening. So you scroll on down side of it. And at 9am. Central Standard Time, we've got the Well, I'm leading a panel of great people, electric utilities, digital transformation journey. So how do you take all this wonderful digital transformation innovation stuff and apply it to that grid, apply it to Universal utilities, and beyond? So that when you walk into a room, you flip a light? It works? Yeah. Yeah. That's what we're all about. And the panel to click on in there. It's pretty cool. So it features a gentleman by the name of Phil carry. He is a consultant with mad skills, former employee of Southern California Edison, and he was leading the way. And the other gentlemen, Michael Bates. He's the GM energy with Intel. And we're talking once again, this electric utility, digital transformation journey, go again, go out to IoT solutions. World Congress, that's their URL, find the digital summit, sign up and learn something about how these leaders are moving forward with incredible solutions. All right, that the other event that I'm going to be at, I'm going to actually be in Cleveland for this particular event. It's the manufacturing and technology show. And it is, it's it's far off. So you've got a lot of time to plan for this bad boy, November 9 through the 11th. And then they have a virtual event, December 7, and eighth, this year. And again, you know, we were starting to sort of build on it. But I'm going to be broadcasting live from that particular venue. And highlighting once again, incredible people who are

04:19

well, leaders, innovators, trailblazers, second to none, making our lives better. Yeah.

04:29

manufacturing and technology show and the URL is m f, g, t, ch show.com. Now have it out on industrial talk, you'll be able to see it, you'll be able to find it. There's no excuse for you not going. That's it. That's That's all I want to say about that. Now. Now, let's get on with this particular interview.

04:49

As you all know, I geek out on this utility stuff. I don't know what the future holds, but it's exciting. There's some cool stuff happening and people like Mathews

05:00

And others are just coming up with incredible solutions that are pushing the boundaries of utilities and, and But once again, utilities want that stable

05:12

that that stable power. And they and they've got to work with a number of entities. It's a challenging time, and incredible opportunity for brilliant people like Mathew, brilliant people like Phil brilliant people like Michael to be able to just shine and really solve problems. Alright, distributed energy is really the top topics. But once again, we we cover pretty much everything. So enjoy the interview. Mathew, welcome to the industrial talk podcast. I'm excited for this conversation listeners. We're going to be talking a lot about I don't know, man, a lot of future thinking a lot of future compensation, we're going to be talking about distributed energy

05:56

outside of the fact that it's hard to say quickly, but distributed energy. How are you doing, Mathew? I'm doing good. Scott. Thanks for having me. I appreciate you taking the time out today to talk man. It's cool. It's cool. All right. For the listeners out there. Give us a little you know, background Luke 411 on who Mathew is. Yeah, sure I I've been in and around the energy space, or what I would call the new energy space for the last 15 years and they see new energy, they typically mean things like solar storage, things like that. And really building and investing in new companies. Today I lead strategy and business development for c power and really all that business mumbo jumbo In short, I'm helping find new ways to leverage our expertise and capabilities to grow and help evolve the grid we live in.

06:45

should mention you know, my previous experience spans from utilities to private equity and building some some solar companies up from the ground.

06:55

Man street cred, if you go out to his stat card out on LinkedIn, type in Mathew with one t don't come to me and say I can't find it because you're spelling it with two T's, one t s, a CA, CH s, pronounced as sack So go out there, you'll see a stack card it is impressive. c power.

07:16

What is that? It? Does that mean? Anything CPower? Or is it just the name?

07:21

See, power is just a name. We were built up over time through a bunch of mergers and acquisitions. Some of them started with a C. So I assumed this is all before my time here. But I assume that's where the C monitor came from. But, uh, but I still think it rings. Well, it does. It does. Now let me ask you this. Let's talk a little bit about distributed energy. Now. I've had a number of conversations with other utilities and other energy professionals. And one of the real challenges, of course, is how do you manage? How do you create that, that nimble that resilient that

07:57

to incentivize generation that is renewable on to a grid into a community and maintain that stability of that system? So with that, distributed energy, give us a little definition of that? Yeah, well, distributed energy is well, maybe going backwards. And second day, we traditional energy is generally done in a centralized form, or it's in big power plants that are typically far away from the demand. And then they're transported through big transmission lines into distribution lines into your home in your business.

08:32

Distributed energies where you move these generation, or other DVRs distributed energy resources into that distribution grid, often what we would call behind the meter or into your home or business and that's where things like rooftop solar or storage come in mind. And, and it is a challenge what you mentioned, I think there's a lot of challenging kind of orchestrating all these little devices to kind of played the symphony, if we could stick with that musical analogy for a while but, but it's a challenge that CPower and others try to help help keep up with, you know, in the end, there's one thing that has to happen in supply has to match demand on the grid, or the lights go out and no one's very happy. Yeah, don't don't do that. You know, everybody's in for renewables. And it's in rightly so it's all good. And, and whatever that portfolio mix looks like. But if, if my power it starts to flicker, and then I go to my digital clock on my microwave, and it's blinking at me,

09:33

no good, happy. Yeah.

09:36

So let's talk a little bit about where this is going. Why is this important? Where are we? I mean, it just seems like

09:43

seems like there's a lot of traction that has happened. A lot of things that are taking place.

09:49

Why is this important?

09:52

Yeah, I think there's there's a ton of reasons why it's important. One and maybe at the top. Both businesses and homes are adopt

10:00

During these DVRs distributed energy resources on their own, for all sorts of reasons, some because they want to be greener or cleaner, some because they want more backup, some because it offers better economic incentives for them

10:14

in terms of Bill savings, or what we do with CPower to help balance the grid with this, but, but they're already using them, if you have these things being deployed in mass already, why not use them to help balance the grid instead of going out and deploying, say, another Central Station power plant, that might be a lot dirtier, but but even

10:38

maybe more important, it only operates for a few hours a year when the demand is highest. So the idea is to leverage these assets to kind of well have the terminal become very familiar with over the last year, flatten the curve and flatten that demand curve in this case, and alleviate that generation. Let me ask you this, that the challenge I see is that you brought up this sort of centralized generation, long ago, it was relatively easy to match supply demand, because you had these centralized assets, big centralized generation assets, the design was to be able to ensure the customer, the end user, the manufacturer, the customers at one end, receive consistent, reliable power. Now, with a distributed energy model, you take that centralized, and they play a less and less role, but you're trying to create a baseload type of scenario for all of these disconnected or

11:42

these smaller generations. How do you do that?

11:46

Yeah, well, I think that's a great point. Many, many of these DDR zz that are out there are not meant to be baseload. There are some that are like a CHP type of plant. But for the most part, they're meant to, from a grid perspective, they're meant to alleviate the peak.

12:04

So things like storage, energy storage in your home or in your business, they're not for the grid, they'll never be a baseload acid, what they could do is when you have your hottest day of the summer, and everyone's using your AC and the grid at peak demand, instead of building the next new generator, he just didn't start discharging your batteries, these batteries in your home, which looks like to the grid, less demand. You know, an analogy

12:35

I kind of use sometimes is July 4, right by me, July 4 has a lot of traffic. If you said let's get rid of all July for traffic, we had to do that, which is the case with the grid, it has to state ballots. We said let's get rid of all this traffic on July 4, there's a couple of ways you could go about this, you could build a bigger highway, right? Very Kintu transmission generation, you could go let's say I'm going to take this three lane highway and make it a 15 lane highway, and you're never going to have any traffic on July 4, the problem is you're going to eat into all this land, it's going to be a little dirtier. Most of all, it's going to be empty for most of the year. So what we kind of do at sea power is and what you could do with distributed energies is kind of akin to that in the sense that you see, let's not build a 50 lane highway, that doesn't make a lot of sense. Let's pay people to leave a little earlier on July 4, maybe leave a little later or maybe not leave at all.

13:29

But that way, you don't need that big highway yet you still get rid of the traffic. Hopefully that made a little sense.

13:37

All on it. Absolutely. There's there's a way of being able to manage

13:42

and correct me if I'm wrong, Mathew, that demand side, there's there's things that can be done on the demand side of that, that equation, like there, there's probably assets or buildings or whatever it might be out there that can be controlled and managed in a way that benefits benefits the demand of that profile. Is there a way of being able to take sort of that

14:09

these these distributed energy blocks and aggregate them in such a way to create maybe a larger aggregation? Is there some way to be able to do that? Yeah, so the absolutely first you're definitely right. It's not just batteries here we're talking about buildings could be batteries in themselves, they take the fact you could cool them off earlier and kind of akin to leaving earlier in my traffic example. But um, but yes, I mean, what CPower really specializes is I would say aggregate and go one step further and optimize those assets. We stand between CNI customers, like large, big box players, heavy industry,

14:52

universities, hospitals, and pretty much all types of large CNI customers when I say CNI, I mean commercial and industrial. Yeah.

15:00

In the grid, and what we the products that we offer to the grid is really aggregations of this. So it no longer looks like a small, little one stop shop for for the the grid and now looks big. In fact, you know, across the country, we have about 4.2 gigawatts under management, which is the size of several very large power plants. So 4.2 gigs?

15:28

It is

15:30

it's bigger than a meg megawatt. Yes, it's considerably bigger than a megawatt. But yeah, absolutely. And so now you now you're able to take that

15:40

and aggregate it. And from the perspective of, let's say, managing the grid, you can control that in such a way that and like I said, I'm just sort of spitballing here,

15:53

you can control it in such a way that will benefit that grid in a positive way to match supply and demand some, and because it's distributed, maybe some part of that capacity doesn't need to be activated and southern, you have that capability of doing that. Yeah, that that's exactly what we do. And it's it's often what we would call capacity, or power, which is measured in megawatts, it also goes into things like ancillary services, like the frequency, when you have plugged in, everything's at 60 hertz, or your computer doesn't work, right. Sometimes these can be used to do things like that, as well. So it supports that too, as well, because it's

16:34

what was this, somebody was saying something about

16:38

the, the generation of the past, would ensure the quality of the cycles and the voltage and everything that you want. But the demand today is so important, because we're dealing with such, our technology is sensitive, that doesn't do well, when it's like 59 and a half doesn't like that, because everything is designed. So you. So you're able to do that, be able to aggregate that and be able to

17:08

relatively easy.

17:10

I don't know if it's easy. And you know, it's something to keep in mind that you have to do this with not interrupting our customers core business. So if you have something like a battery, or micro grid, that's easy, because it's a device that just dispatches and the only thing you'd see is a green light versus a red light, so to speak. But other customers could drop load on only the hottest, hottest day, they'll, you know, maybe move their temperature up or prequal. Their their store.

17:39

And those customers aren't going to be working for a frequency program that happens many more times a day. But so I think, you know, it's first you have to really understand what each facility's kind of potential is. Sometimes you call it the wattage potential.

17:57

And, but then you have to figure out the, you know, the right software to kind of orchestrate that back to the grid. And then you still have to win these grid programs. Some are open programs where you can bid like an auction. Some are highly negotiated bilateral types of deals, man, that's a dynamic system. That's dynamic. That's a lot of decisions going on. Do you guys work closely with the utilities? Yeah, we have a business that really focuses on winning those utility deals, and even utilities themselves. Some are more open programs where you can bid in, and others are, we like to say are close, but you have to bid to win that program.

18:37

Like an RFP type of supplier, yeah, we, we work very closely with them. And what we find they often value is the insight we have into our customers and what they could do that that's where, because you can imagine if we're in Region, let's say on the Northeast, and then we have a similar set of customers on the, the Northwest, we understand how much load and how dependable and how accurate because from a utilities perspective, dependability is everything you might get there, sometimes that doesn't count for them, you got to get there all the times because it will go back to the first thing you're not happy if you walk into your oven light flickering.

19:18

And that's a lot of pressure on you guys, because because utilities, they've been around for a long time. They use a lot of that, that technology, the way they operate, their system has been around for a long time since the beginning of power. And they've they've just the system has evolved into what it is today. However, they can always go back to Okay, now this is not working, our customers being impacted. We're going to pull back and we're going to do whatever is necessary. So pressure on you guys. It's definitely some pressure. We got to get it right you know you're in the energy business you there's not a lot of room to get it wrong and there's there's there's big problems. If you do

20:00

But it's also a growing problem for utilities and grid operators alike in the sense that we talked a little bit about renewables earlier. And we have these low cost renewables that are clean and generally great getting deployed in mass right now. But you know, if there's a downside of this, that they're different than the traditional generation, they're intermittent. In other words, when the sun goes behind the cloud, solar panels produce less than electricity. So now you have this growing need of where they used to have this, what we would call firm production, now you have this intermittent production. And we could go back to that kind of highway example, we could build this redundant generation system to pick up or we could have demand react a little bit more to supply, which, which, obviously, we're big fans of here.

20:47

That's a, that's a digitization that's an innovative solution to that, because you're talking old school thinking, and I remember going to the system operator, or whatever they call it at that time, many years ago, where the guy would just sit there, it's still very manual, I see my demand going up, I could sit there and turn my generation, I can meet it. And then if there's a huge peak, then I just turn on a turban, a, you know, g turban and start popping and getting that demand or the getting that supply up to meet the demand. But here, I mean, it's it's, it's a lot of little things. That's, that's a dynamic system. And and I don't know, and correct me if I'm wrong, Mathew,

21:32

it has to be done through technology. I don't think the human the human side could manage it that way.

21:39

Yeah, it depends on how big and small your pixels are. Like when when our industry started, it was about summer peaks and eliminate summer and you'd have some very big loads. And it used to be done with phone calls, hey, call up XYZ company, tell them to drop their load and go through to the curtailment plant. And we still do a bit of that. But but for the most part, it's gravitating all the way to much more automated to the case where a fair amount of our portfolios now will machine to machine people don't get involved. But you're spot on Scott.

22:11

What are the what are the roadblocks? I mean, it's going to happen, let's put it is happening now. It's going to be more and more. There's a lot of other dynamic challenges existing within the utility space beyond what you guys are doing, but it's all very dynamic. What what are the roadblocks, what are we talking about here? Yeah, it's a fair point. And maybe I should preface everything saying is I don't ever envision us moving to a fully distributed system that there will be central station generation and there will always be a need for that. But Roblox for us is part regulatory. We have regulators for utilities, and yes, those so called DSO or ISOs, ISOs. Yeah, ISO independent system operators. Yep. They, they're there. Their job isn't to experiment with new technologies, right, which To be frank, they're Their job is to ensure reliability the grid and ensure that the right economics and the fair economics so that they're not really incentivized to push new rules out in front of the technology. So I kind of sometimes liken that to a capacitor, you have everything getting shoved in there built up, then it just unload. So we just had one unloading fork, which is a the

23:28

federal regulator transmission. Yeah, exactly. But they came out with only going for 2222. But it basically says that, so ISOs, and artios need to

23:41

need to reward or compensate distributed energy devices in the same way that the central jet is.

23:50

See, I'm going to push back a little bit, here's the deal. I'm an ISO, or I RT or whatever, my I get paid, or I'll get penalized. I'm okay, over here. If I deliver my power in the right way. If I don't, I get penalized. So I'm not. And yet yet there seems to be a disconnect between the incentives to try to incentivize businesses to more to that distributive, renewable, whatever might be over here. And yet, these over here are saying, nah, ha, no, I tried that one time I got penalized and everybody hates me because of that, and customers are coming at you. So there's a real disconnect that happens there. I think that's a fair point and you know it which he need to get it right to start with like, you can't be this is forget about your oven in my life. This is people's hospital, their oxygen, other things that are alive that you know, there's these things need to work and there's critical, critical loads out there that have to work no matter what more than five nine accuracy. But you know, it has been proven

25:00

to work overtime and but this is kind of the this is this kind of the issue. You know, we were talking about challenges when do when is it the right time for that capacitor to load? And how far did these technologies have to develop? And how far can you develop them without kind of mass deploying them and you know, I think where the rubber kind of meets the road here is another kind of important thing to consider is economics. And you know, people can pay up to kazoo for their electricity either is probably the, one of the quicker ways to create unhappiness is to

25:36

have basic necessities are increased the cost of basic necessities, which I think electricity is so I think it's here. And you know, the funny thing is, is all this one of the big reasons that you see DRS being deployed, we talked about it just really briefly, is resiliency. We've seen our grids fail us over the last year, California, Texas, and you would, what does that do that drives more people to go out and get types of backups, batteries? backup, Jen, just Oh, yeah, Jen said, micro grids. And that's

26:08

as those are deployed, you're just increasing the opportunity to be able to use those for for other reasons at a low cost, because now you're not trying to incentivize their deployment, you're purely tap into something that's already there. Okay, so let's put your future hat on real quick. Where do you see it going? What, what do you think is going to happen in the future? Yeah, that's, um, well, kenaz, let's quickly refresher where we came from. It was really a supply driven network is what we've been talking about. In other words, if I flip my light switch on here in New York, somewhere, regeneration clicking on to supply the electron. So oversimplified example, granted, but it is still a real, it's a real time commodity, both both open. And that that's where we come in from. And now we're going to as you're seeing these distributed assets being called on to supply things more and more, and that's been growing it and that's bringing us to what I would call a two way or bi directional grid.

27:08

And we're seeing that happening more and more. And I think that's kind of where the beginning stages of that right now. And as we do this, we, companies like us are investing in what we call optimization technologies to improve this greater and greater, but we're also getting more and more data, and you're also getting more and more decentralized devices out there. So where does this all wind up? I don't know. But sometimes I like to think it will be like the Internet, and gravitate to what I would call an omni directional network. So in the internet, we all consume information, we read emails, webpages, we all produce information. So more emails, for sure, send me an email, you should see more, you should see some of the emails I get, I wonder how people consume or produce such large information. But and then they also store information, whether in the cloud or locally, right? And then if I send it, if I send it, if I sent you an email, today's got it in my route through Kansas, and tomorrow, it might route through Milwaukee. But the network's always, always adjusting. So as we have more and more of these nodes and these distributed devices out there, and better and better logic, does our electric grid eventually become omni directional like that? And it's interesting. Yeah. So far away? Well, no, you're the SVP of strategy and business development. That means you, you have this conversation quite a bit. Yeah, that's cool. Get paid to dream sometimes. And that's the best part of my job. But I'm telling you right now, it is it's important. You know, you're constantly educating, you're constantly collaborating and innovating. That's, that's what makes this time really interesting. From my perspective. I don't know what switch clicked. But all of a sudden, everything is possible. Everybody's saying, why not? Well, I'm gonna do it. And then the technology is sort of there to be able to do it. And it's just an interesting time. And I wish I was younger, because I think that

29:04

I don't know the future's bright. From that perspective. I think so too. And in, you know, in fairness, the grid hasn't changed much since salmon soul and gave 100. And something years ago, God founded it. So we're, we're overdue for somebody innovation here. We've changed how we do everything else there. But it's a super exciting time. And mostly because I think we can make a difference with what we do make make people's lives better.

29:30

And hopefully more affordable.

29:32

ASCII, and you will, it'll happen or it stops cold in a sense. It doesn't continue to move forward. It doesn't. If you don't have the right things in place to make it and to facilitate this new innovation, then, yeah, it's it's tough to keep on you know, doing that. But I think you guys are there and you understand what the drivers are. And as a consumer, I just want flip on my lights. It's on doesn't fluctuate. I'm happy.

30:00

As a clam, that's the simple reality that I'm I live under. That's right. You know, one of my mentors once told me a good analogy are those with solar but he's,

30:11

he said, Mathew, people don't go solar to save money. And he said, you know, they'll, they'll go solar to be green, they'll go to be tech forward or go to,

30:20

they'll go for many other reasons for some resilient power on their house. However, you need to save the money. Because if you don't save the money, they'll be embarrassed when they tell their friends. And that's, that's so wisely. Not sooner. No, that's true. And but none of these solutions work if they're not economic. Yeah, you're you're spot on. Alright, how do people get ahold of you? They might have said, Gosh, darn it, that Mathew with one T is amazing. I want to get a hold of them.

30:48

Well, I guess the best way hit me up on LinkedIn. Or I tried my best to get in touch with folks or I'd read out my email here, but it's it's quite long. So you might do better on LinkedIn. But don't forget the one T. That's exactly right. Ma t h e. W SACH. S is his last name. sax is how you spell it. Yeah, reach out. Let me see. Apparently there are other Mathew sacks out there.

31:18

I'll be the one with C power with a comic. Like, put a little comment in there and see power. You're good. All right. Hey, you were wonderful. I'm telling you, man, futures in good hands with people like you and see. See power and others. I like it.

31:33

I had a good time, Scott. This is great. Yeah, cool stuff. All right, listeners, we're gonna wrap it up on the other side. So if you're not, we're going to be able to provide once again, how to get ahold of Mathew, the wonderful people at C bar. And, you know, thank you for joining. You're listening to the industrial talk Podcast Network.

31:58

All right, thank you very much. Mathew sacks. Thank you very much. Please know, it's only one T and Mathew and saxes, sh ch s, look at his stat cart reach out there on LinkedIn, you will not and I'm telling you, you will not be disappointed. Reminder, again, remind,

32:19

put this on your calendar may 11. Through the 12th Digital summit brought to you those by those incredible people at IoT solutions, World Congress, they're passionate about really

32:30

leveraging innovation and technology to solve problems. And everybody that's in that particular business summit, powerhouses, I'm just saying. And then the other one, of course, it's the manufacturing and technical show. Technology show, November 9 through the 11th 2021. Make a note. It's all out there, industrial talk.com. All right. Once again, hanging out with people who are bold, brave and daring greatly, and you're going to change the world, like all of these people that are at these conferences.

33:00

Thank you. Thank you for joining and supporting the industrial talk. We're gonna have a great conversation.

The post Mr. Mathew Sachs with CPower Energy Management on Distributed Energy appeared first on Industrial Talk.

In this week's Industrial Talk Podcast we're talking to Kathy Henrich, CEO of the Milwaukee Tech Hub Coalition about “Transforming the Workforce of the Future and Bringing Regional and Personal Prosperity”! Get the answers to your “Digital Transformation Education” questions along with Jennifer's unique insight on the “How” on this Industrial Talk interview!

You can find out more about Jennifer and the wonderful team at the University of Wisconsin-Milwaukee and how you can up your Digital Transformation learning game through CSI by the links below. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy!

KATHY HENRICH'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/jennifer-abele-2859684/

Company LinkedIn: https://www.linkedin.com/school/uwmilwaukee/

Company Website: https://uwm.edu/

CSI AND MARY BUNZEL'S CONTACT INFORMATION:

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

Company LinkedIn: https://www.linkedin.com/school/uwmilwaukee/

Company Website:  https://uwm.edu/csi/

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

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The post Ms. Kathy Henrich with Milwaukee Tech Hub Coalition talks about Transforming the Workforce of the Future appeared first on Industrial Talk.

The post Innovation with a heart. Conversation with Stephanie, Bill and Rob True Industry Heroes! appeared first on Industrial Talk.

In this week's Industrial Talk Podcast, we're talking to Efe Erdem, Technology Center Director at MESS and MEXT about “Addressing the major skill gap that exists in today's Digital World”. Get the answers to your “Digital Education” questions along with Efe's unique insight on the “How” on this Industrial Talk interview!

You can find out more about Efe and the Mess team by the links below. 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!

GARY'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/efe-erdem-01804b13b/

Company LinkedIn: https://www.linkedin.com/company/mess_2/

Company Website: https://www.mess.org.tr/en/

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

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/

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PODCAST TRANSCRIPT:

SUMMARY KEYWORDS

technology, companies, member, collaborate, called, digital transformation, people, industry, turkey, partners, understand, digital, create, educate, industrial, initiative, embrace, education, max

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. Alright, thank you very much. Again, thank you very much for joining the industrial talk podcast. Because this is where we celebrate industry heroes. I am so jacked for this particular interview coming up, and I just want to make sure you got to stick around. Because you are bold, you are brave. You dare greatly. you innovate and you're changing lives and you're changing. just changing the world. Why can't we celebrate you each and every day? That's what we do. We celebrate you each and every day. All right, in the hot seat, you know me, Scott, MacKenzie, you know me, and I'm all about collaboration, innovation, and education.

01:02

Here's a gentleman fa. That's e f e epi. Alright. Erdem, er d m, he's with an organization called matched. And they've got they're just coming out of Istanbul, Turkey, and they've got a lab, they've got an ecosystem that is really looking into industry for Dotto training the individuals around Europe, about the technology, it is a fabulous conversation, they are passionate about what they do. So let's get cracking. Stop listening to me right here. Now you got to keep on listening to me. You definitely do. All right. I've been doing some series, and we're gonna get into the interview. But I just I just need to reiterate. 2021 is right around the corner, it's right over there. And if you're looking out at the video, I'm looking at 2021 right down there. And it's right around the corner. Now what does that mean? Well, let's put it this way. It's going to be great to look at 2020 behind you, right. But the other thing is that what is your plan? What are you doing? How are you going to generate revenue? How are you going to close deals? How are you going to do all the things that you need to do because you can't live through 2020? Again, in 2021, now I understand the challenges that exist out there, I understand the the fluidness of this pandemic, and I have no idea. All I know is that 21 because it is December 2021. Let's create some strategies. Let's be bold here, let's be brave, let's, let's, let's consider going rogue a little bit and pushing that envelope in how you market and how you sell. Because right now, right now is the time to be able to differentiate yourself to be thinking about how things are just what can I do to be different? How What can I do to get my message out? You know, those are some of the things how do I reinvent myself, you know, that means Do you know what that means in reinventing yourself and going rogue and being, you know, unique and sad and being bold, requires you to be a little uncomfortable. But that's okay. You just been through 2020. And it's okay to be uncomfortable. Because you need to be we need you out there. So I did a, I did a live and then I flipped it into a podcast just because I can. And so I did that. And what was great about it is it's my beef with webinars, that's one that's a live that I did, we can do better, we have to do better, you have to do better, I have to do better, you know, just being okay is just not going to do it. We've got to be quite innovative when it comes to this stuff. And that goes for your marketing and your sales strategy coming up in 2021. You can tell I'm amped up on goofballs on that stuff. Because I just

03:56

I want you to be a success. That's it. So one of the things that we're doing, and I'm going to continue down this road, I want to collaborate because we're about collaboration, you know, innovation and education. But I want to collaborate with industrial sales and marketing people. I want to hear what they have to say, I want to be able to get that information out. Because if you're not generating revenue, if you're not breaking into opportunities,

04:20

it's not gonna be a good year. And I want it to be a good year for you. And so that means we've got to figure out how to do this whole marketing and sales things better. So I've got a lot of I got a lot of baggage that I want to be able to get off my back because I think we have to, we have to be so creative, so innovative, and we can't, we can't give up on our education. And that's brings me to this particular dog gone interview with Epic, fabulous organization. The, the the, the hub, they call it a hub and I'm looking at my notes because

05:00

The Hub the MCs me XT, and they're just all in passionate about educating

05:09

about industry for Dotto, it's here, your digital transformation journey has already begun, you need to figure it out, you need and that means education, because it is going fast, and it is speeding through your life. And you need to be able to educate yourself on that. And and when we start talking about all this, you've got you got to do it, man.

05:35

I'm all wigged up. Because I just, I'm so passionate about it. I'm so passionate about everybody collaborating, because we need solutions. And that means we've got to talk and collaborate. We need to innovate not just from a technology perspective, but how we interact with people be innovative. Rethink yourself. And then the third one, of course, is education. You can't stop. You can't stop not just from technology. But how are you going to get your message out? What are you going to do? That's it. All right. I'm done. I'm spent. Yeah, I am. I'm spent. All right on the hot seat again. Fa. Erdem, he's with Max, enjoy the doggone interview. All right, fa, thank you very much for joining the industrial talk podcast. How are you doing? Well, in Turkey, it's afternoon, here in the United States in Louisiana. It's the morning how are you doing today?

06:31

I'm doing fantastic. Thank you for the right kinds of mutation. I hope you're also doing well. Oh, I mean, I'm talking to you, How can I not be doing well, this is fun stuff. And it's really an incredible topic. And I and I love it. And I love what you guys are doing there in Istanbul and with an organization called mess and maxton, all of that good stuff. And I think that this is a timely conversation. But before we get into that conversation listeners,

06:58

epi brings a lot of doggone street cred. If you go out to his staff card on LinkedIn, you will not be disappointed. Give us a little background on who you are.

07:10

I'm the Managing Director in Charge of the MCs initiative. And they initiative is actually a product project of the largest industrial association of Turkey called mes. It's an association that is looking after 250 big large industrial companies who are active in the metal industry. And when I say metal I refer to automotive, steel, white goods and machine builders. So we are a large industrial Association and three years ago, the chairman of the association decided to undertake a massive project to build a technology center in essence, it's actually digital capability sensors that would help the member companies so I'm it's called mixed the initiative and the project is called I want to make sure this is clarified it m EXT not NEZM e XT continue that that's absolutely right. And we decided to brand it as me XD s next, that would basically refer to the next level, next era of the metal industry or next level of the manufacturing, the upcoming digital manufacturing revolution, so to say. So here, here's my,

08:31

here's my beef. Here's my insights here. My here's my challenge. And especially with this, I've I've had hundreds and hundreds of conversations that are all around industry for Dotto, digital transformation. Edge cloud II, people throw it in 5g, what the heck, why? Let's just throw that in there. Right? Let's just say it doesn't really matter. It seems like it's the the miscellaneous file for everything that's taking place within technology today. And one of the things that you could probably attest to and I have a challenge with is the speed at which technology is evolving, and the human capability of being able to

09:11

embrace it, right. It's like it's going really fast. It's like you're trying to hold on that Tiger's tail, and yet I can't consume it fast enough. Is that what Max is all about? What what give us a little background into mext. That's accepted I take Sure there so that that is a needs that are identified among our member companies as well. So we have observed that some companies are investing into upskilling and rescaling their workforce to cope up with the upcoming digital manufacturing era. But we have also observed that that was not done at scale. So it was usually the upskilling and rescaling efforts, were usually targeting maybe a small set of engineers, maybe some managers, mid level managers, but that's the

10:00

So it was we felt that it was not enough to undertake a massive transformation effort at a company scale. So as an association, we decided to step in and provide the necessary training, actually a free of charge to our member companies in order to better equip them for the upcoming new digital manufacturing era. So as you rightly pointed out, this is our primary goal, we want to upskill and rescale the workforce, so five member companies, so your member companies right now it's about 250 plus heavy industry within the boundaries of Turkey, are they just naturally a part of the maxed initiative? Like I'm a member, I'm over here now too, as well, I can get the access to this, this great training, is that how it works? That's right, we are giving them access to the training programs plus the consultancy services, which we can also touch on in a while. But, of course, like any new initiative, it's taking some time to also convey the message to our member companies. So it is not very ordinary, that an association undertakes something like this, it is such huge scale. So it is also taking some time to explain it to our member companies. Why are we doing this? And how are we going to help them? Of course, once they understand the message and our ultimate goal, they really appreciate it, and then they immediately start making use of our services. Yeah, because I'm telling you, if you think this digital transformation journey is going away anytime soon, your saw us, Sara Lee, you're going to be disappointed because it is not going away. And it is going to be around and either you're in the game and you're trying to figure it out, and how it will benefit your organization benefit your business benefit your career,

12:00

you're going to be left behind. And that is unfortunately, the truth. So guess get with the game and it now. So when you were sitting there about a few years ago, and you're with the

12:13

the head guy at Mass, and you started talking about this, a What's this gap? What's going on? What was the thought process behind that? Yes. And we observed it's a some of our members even did not realize, as you just said that it is a necessity to transform. So with some of the member companies, he felt that we need to create the urgency, a sense of urgency, and then the awareness about the digital transformation.

12:44

We also observed another set of member companies, which already started to take initial steps towards transforming their factories supply chains. But again, a I think some some the some consultancy companies prefer to refer to it as a pilot purgatory. So they were stuck in their pilot purgatory, and they were not scaling

13:09

So again, in that we identified the need to provide training to the whole workforce rather than a privilege subset, in order to in order for the company to embrace such a culture as a whole. And that was the thought process that the Soviet Navy identified first of all the need to create urgency, a sense of urgency, and provide the necessary understanding for what it takes to do that. I like it. Okay. Sorry. I like that. Go ahead. Perfect. Secondly, I think that the other observation was that the top level decision makers, and they were puzzled with the buzzwords you threw in those buzzwords just a couple of minutes ago, and

13:58

put, if you put them yourselves into the shoes of those top decision makers, they usually get to see colorful slides from a consultancy companies and everybody knows what to do best. But at the end of the conversation, the key decision makers is really puzzled about what to do what what is the initial step, what should I do for my factory, a me so it was this lack of clarity, lack of clarity that was existed in the minds of the top decision makers. And that was the second, I would say, toward that, that provoked this whole project and idea this the fact that we need to provide this clarity to the key decision makers of our member companies so that they can embrace that and cascade it as a vision to this whole workforce. So this is how I see that rolling out that is a great explanation, especially with this new

15:00

digital transformation, industry for Dotto, whatever that high level, we speak in this sort of language that we all understand, but nobody else does, right? We assume that they understand we assume that they get it right. But what what I hear FAA talking about is that there is a sense of urgency, whether we like it or not, whether you want to ignore it, there is a sense of urgency, you got to keep moving, you got to understand that means you've got to educate, that means you've got to figure out and say, yes, it's here. Yes, I got to understand. And then I've got to, I got to truly understand how this technology, this, whatever this is, is is clearly understood in into my business itself, how does it apply? All the technology is a technology, that's great. And as we talked about going forward, technology will be technology, and people will continue to push it. It's how you understand how you see it, and how you can gain value from it. I like it. I like it a lot. epi. That's a good, good way of starting out this conversation. Now. It's not.

16:10

It's not all pink elephants in cotton candy out there. What's the resistance here? Does it make sense? What's the resistance? Yes, I think that resistances is especially in with the smaller scale companies. So among our 250 companies, it's a very interesting portfolio, very diversified portfolio. So among our member companies, we have the largest industrial company of Turkey, the whole country. But also we've got SMEs, small medium sized enterprises, who employ not more than 150 people. So when you re approach, it's not an insignificant subset is roughly 77, zero out of the 250 can be classified as SMEs, when you talk to the bosses. And usually they are family owned enterprises. When you approach their bosses, it first insists they're not comments at all about evaded the digital technologies are really needed for them would bring value to them. And they have this prejudice of being confronted with not affordable technology so that they feel so this is a genuine prejudice that exists in the minds of people, they find that the technology is hugely expensive, it wouldn't add value to them. So I think to, to to answer your question, if especially in the SME segment, I think a the the resistances to overcome this prejudice, in first instance, to tell them well, there is affordable and accessible technology that would create value, even for a small sized enterprise. So this is something we are working on at the moment, I would say yeah, and you have to keep on educated, you got to keep on providing that information, you got to keep on pushing it out there just because that's important. And then it changes. And then. And that's what's so great about what you're doing at max, because you've got your finger on the pulse of what's taking place in this whole digital transformation world. That's great, and how rapidly it is changing. And therefore you can keep current with what's taking place out there in the market. And that is of significant value. I I can understand why this is an important initiative for the the the organization mess. Now, let me ask you this.

18:35

One of the very, I mean, I can't I can't ignore it, is that I know that a lot of companies are going in and are going to be impacted from the deployment of digital transformation solutions. And the and people getting their say, displaced. Is that a conversation? What? Tell us, give us a little, you know, warm and fuzzy why that's not gonna be the case. Or it might be the case, but there's still a bright future. Give us a little background into that. Yes, yes. I think a this is a very well made point. So we we have a huge target. We would like to touch 50,000 employees every year. So it's a massive effort. In fact, he did you say every year 50,000 that's that's exactly right. That's exactly what I said. Absolutely a stretch goal.

19:28

Yes, so that as you can imagine, a we are going to employ all sorts of methods, including a digital way of bringing up those courses and modules, but 50,000 people every year so that that number itself, even a brings us is the largest initiative in the world to upskill at such a scale. And so, of course as you can imagine among the 50,000 people in May

20:00

A major chunk of that population will be a hourly paid person. And so operators on the shop floor right yeah. And of it is essential that we bring across the message that this is something that that will be helping them going forward. So as you said, of course, there are some sometimes these statements like it may displace workers,

20:28

again that you have studies from Bertie economic forum that suggests otherwise, that such as in 2013, that the digital transformation and technologies will actually create more jobs than it would displace. So we are also advocating the same and saying that this is a game for all countries, for everybody. And that one cannot turn a blind eye on instead, a, I think every one of us should understand how to come to terms with this reality, what it means to have a life to our work practices, in order to continue, actually the likelihood of

21:15

having better chances for a state visit. I embrace what you're saying, I think it opens up opportunities. And I think if you accept the fact that this digital transformation is happening now, there is a sense of speed, there is a sense of urgency. And if I learn as much as I possibly can me as an individual, that just opens doors because it's not digital transformation is not just going to just be in Turkey, it's going it's global, right? You access and learn and grow and get into it, then it just opens up doors globally as well. It just does. There's no there's no way of ignoring that. And that's why it's exciting. I fully agree with that. And I think it's the moment if you look at the global landscape, there is a race and there is a race. So so even the developing nations, of which Turkey is also one are trying to not to stay behind. So it is it is it is everybody calls it it's an exponential disruptive wave. So it's happening fast. And we felt that our member companies should not also stay behind the curve. And they should be ahead of the game. You can't because you can't compete globally, because there's going to be companies that aren't going to be all in on this digital transformation, which, which we've had this conversation prior to this particular podcast, you and I and others are, embrace that incremental approach, right? It's not a what we call a big bang approach. It's like, Okay, I've got this company. And now I got to do it all at once. So you don't have to. And that's the beauty of the technology. It's, it's, it's nimble enough to be able to say, Okay, here's, here's some low hanging opportunities right here. Let's deploy it here. Let's get some wins and victories here. And then we can scale from there. And I think that that's what what do you guys advocate? Now all of this is great stuff. It's all wonderful. I get it. But you're not just in the, the the business of

23:26

here, here. Here's the education. You guys also do consulting, because one of the biggest problems I see is I don't even know where to begin. I have no clue. So you guys provide that type of guides, right? That's absurd, right? That's absurd that and that we do partially on our own in house training consultants that we have trained for this purpose. But also we are partnering up with a great institutions and other companies from across the world. In fact, with from offer from Germany, we are providing the so called Digital maturity assessment service, that would help the key decision makers to basically understand figure out for themselves, what what is the customized take a tailored roadmap for their company and for the affected for the next two years. So this is actually how the whole journey starts with our members. So we go in for one week in depth on site study, and together with our partners, and they observe end to end the whole manufacturing system. And from a special lens perspective, of course, and then they come up with the reports. It's not a generic report, but with a specialized report for that particular company Exactly. What should be done in the next two years. But then, but let's say I deployed if I say

25:00

Yeah, this is great stuff thumbs up, I'm ready to get going. But you're not going to leave me out there to dry. I'm not going to be there alone. I mean, I because technology is like going really blistering fast, right?

25:14

Two years from now, it's gonna be a completely different landscape. I'm not alone, right? I mean, you guys are just gonna still be there. That's exactly right. Not only us, but also the ecosystem that they've established, they will be there to support our member companies. So from the very beginning, give her very much conscious that nobody can do that alone, even the big companies. So everybody needs some sort of help and guidance leads from a startup need from a technology software company. So we did set that, as an association, we can afford to basically establish this web of partnerships that would help our member companies in their transformation efforts. And as such, we've signed a contracts partnership contracts with more than 40, a globally known a universities, institutions, from everywhere from Singapore to North America, we have partners that will assist our member companies together with us during a transformation journey. So I fully agree with you, it is a must to have a partner set onto it, who are

26:26

keeping up with the fast pace of technology and who can guide you during this journey. It is an ongoing journey, actually, that is here. And it's not going away. And I and I'm all into it. I hear what you're saying what with all that said, with all this great momentum that you guys are experienced, which is great, great, great. Where do you see it going? Where's that future? Where does it look like?

26:52

Yes, and I think what they would like to see a within that time horizon of planning horizon of two years, we would like to create some measurable impact in the transformation efforts. And we will measure it. And by using the just mentioned, digital maturity assessment methodologies, so we will have a pulse so to say, an index, which will tell us how much we have succeeded in transforming our member companies or help them transform themselves. So they would like to see, to see that uptick in the index for the overall metal industry among our member companies. So and then, of course, what we would like to see, of course, most of our effort is towards creating that cultural awareness, starting at the C suite, and they should embrace this as a leader, and that they should regard this as an ongoing journey rather than as a one off effort. And hopefully, within two years time, we will see our member companies coming back to us and asking for more asking for a refreshing curriculum, asking for a new set of technologies. And if we can achieve that continuity, and that's that, that sense of ongoing journey, I think that we will call consider ourselves successful in the medium term, two to three years. And going forward, going forward, hopefully, if we can create an ecosystem where our member companies cooperate, collaborate with a with other partners, from the ecosystem, global ecosystem, and mourning the research and development efforts to to start creating technologies for themselves. That would be a huge success in the longer term. Yeah, I'm telling you, right. Now, listeners, you're gonna need a definite partners, like

28:53

this group and others, but you're gonna need a partner like max. And the reason for that is that just any, any,

29:03

any technology, and any journey like this requires that because you're not going to keep up with it. And you don't want to be stagnant in that journey, right? You don't want to say, Hey, I get a thumbs up, or we're good. And then all of a sudden, you're, you don't keep up. And that's why I love the use of ecosystem. I love the use of that, that necessity to collaborate with everybody because this stuff is moving fast. And you need an organization like max to truly help you with that journey. I like it a lot. Now, Effie, are you out there on LinkedIn? I am in DTS, and you're pretty I mean, you're I need to find found you and

29:43

grab me it's Effie. Bird, I'm gonna get it. That's that's a good pronunciation if you just Okay, so the spelling is E F, E, first name, last name, e r d, e m, right? Reach out to him. I'm sure that

30:00

There's not many out there that have your name, which is a very good thing than like john Jones or something like that it's very common, but reach out to him and your, your active because I think, and this is not just, this is not in the confines of just

30:16

Turkey and that it's International, you spoke up the international fingers that are taking place with this Mex initiative. Right? That's very much true. In fact, he actually make use of saying services from international partners. But in the in the area of developing new use cases in our digital factory, a, most of the international partners utilize it as a testbed to showcase the latest and greatest technology. So I mean, we did this is something it's a winning proposition value proposition. The value for the partners, if you look at the other side of the equation is that they gain access to the leading 250 industrial companies of Turkey. So if they can, in a real working environments demonstrate the value of their technology. And this is an amazing advantage to them. Because you cannot do it in a standalone showcase environment, industrial people usually would like to visualize it on a real working production environment. Otherwise, it's just empty words to them, unless you can prove the real added value of the technology on the real working environment. And that's what we set out to do. That's why they established this digital factory. And this is why most of the partners are jumping in actually to be able to speak to the real clientele customers prospective customers and demonstrate their technology and the value of their technology. In such a great case. Even I can give you some examples during the high initial period of the pandemic. And late April, we were cooperating with with a German startup to develop a use case for CNC machining, utilizing 5g technology and highly advanced analytical modeling. So why I am giving you this example is that we are ready here to cooperate with everybody, so long as they want to reach out to the Turkish customer base. And it's great that in today's world, even a pandemic cannot prevent you from doing this. So it was possible for us to collaborate with a German startup in late April, despite the pandemic periods. And we are in fact continuing to collaborate with technology companies, startups, from Europe, from Singapore, even from North America In the meantime, so yeah.

33:00

Yeah, and I mean, I've been a big advocate on collaborating, innovating and educating and you guys reflect all of that, you create a platform, you create a an environment that allows people to collaborate, which is a positive, you create an environment that allows people to truly innovate and think through that and be innovative in their approach their business and their careers. And then of course, you provide the ability to educate because without the education, you can't innovate or it's hard to even collaborate because you're not, you're not educating yourself and I and what you guys are doing at Mex, it's, it's a great thing, because that that's what you guys do. And you're doing it with a sense of urgency and speed. Because now is the time you can't lollygag I like that. I

33:48

can use that. Go right ahead. Go use it. Put it on a bumper sticker. I don't care. It will surely by No, this is.

33:56

Alright, we're gonna have to wrap this up. And I'm sorry. We had a bit of a technical difficulties. That's what happens. You know, you live by technology, you die by technology. But for the most part, technology's pretty doggone good. All right. Now we also have a virus. I hope I said that right? as well as gorg. See, Gox Guk. Did I say those right? Come on, guys. Help me out.

34:23

You can call me Jackie. Okay, because

34:28

I feel like I'm just sort of swinging in the wind here and going Okay, here we go. Anyway, great team. Great, great spirit, great energy that you guys are doing there at max. I really appreciate you guys jumping on the industrial talk, podcast. Thanks for inviting us. Thank you so much. All right, listeners. We're gonna wrap it up on the other side. All of the contact information and information that you need to get a hold of this great team will be summed up after this break. So stay tuned, we will be right back. You're listening to the industrial

35:00

Talk Podcast Network.

35:08

Alright FA he's the man he understands and he understands and his team at max understand the necessity of education. If you don't want to leave people behind, they have organizations just like, like, max out their fabulous purpose because I look at it this way technology is barreling down that track, and they need to, we need to train. And that's why these guys are so incredibly wonderful. All right. 2021 right around the corner. I'm looking at it right now. It's right there. What are you going to do? Are you gonna market how are you going to sell? You cannot as a company, relive? 2020 Let's be successful. Right. rebuild, right. prosper. twenty.com 2021 do it. Reach out to me. I'm here to help. Big time. Alright, people be brave dare greatly hang out with those people that are bold and brave and daring greatly. You will not be disappointed. Let's have another interview right around the corner.

The post Mr. Efe Erdem with Mess talks about Training the next Industry 4.0 Professional appeared first on Industrial Talk.

In this week's Industrial Talk Podcast and in conjunction with IoT Solutions World Congress, we're talking to Stephanie Atkinson – Founder and CEO at Compass Intelligence about “Technology with a Heart and using Technology to Help Students at ElevateOurKids.org“. Get the answers to your on how to help and how to participate along with Stephanie's unique insights and Purpose on this Industrial Talk interview!

You can find out more about Stephanie and the wonderful team at Compass Intelligence and vMarque by the links below. 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!

STEPHANIE'S CONTACT INFORMATION:

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

Personal Twitter: https://twitter.com/stephatkins

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

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

Get Your Access to the IoT Solutions World Congress Digital Summit: HERE

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

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/

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

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

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PODCAST TRANSCRIPT:

The post Stephanie Atkinson talks Technology for Good and the ElevateOurKids.org Project appeared first on Industrial Talk.

In this week's Industrial Talk Podcast and in conjunction with IoT Solutions World Congress, we're talking to Rob Tiffany – VP and Head of IoT Strategy at Ericsson about “Technology for Good and using Technology to Help People and Communities around the world at the Moab Foundation“. Get the answers on how to help and how to participate along with Rob's unique insights and Purpose on this Industrial Talk interview!

You can find out more about Rob and the wonderful team at Ericsson by the links below. 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!

ROB'S CONTACT INFORMATION:

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

Personal Twitter: https://twitter.com/RobTiffany

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

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

Raspberry Technology:  https://www.raspberrypi.org/ 

Get Your Access to the IoT Solutions World Congress Digital Summit: HERE

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

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:

The post Rob Tiffany talks about Technology with a Heart and the Moabfoundation.org Project appeared first on Industrial Talk.

In this week's Industrial Talk Podcast and in conjunction with IoT Solutions World Congress, we're talking to Bill Schmarzo – The Dean of Big Data about “The Dangers of Legacy Thinking and The Power of Hope in Innovation”. Get the answers to your “Culture of Empowerment and Culture of Innovation” questions along with Bill's unique insight on the “How” on this Industrial Talk interview!

You can find out more about Bill by the links below. 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!

BILL'S CONTACT INFORMATION:

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

Personal Twitter: https://twitter.com/schmarzo

Get Your Access to the IoT Solutions World Congress Digital Summit: HERE

PODCAST VIDEO:

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

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:

The post Bill Schmarzo talks about he Dangers of Legacy Thinking and the power of Hope to Innovation appeared first on Industrial Talk.

In this week's Industrial Talk Podcast we're talking to Kenneth Forlemu, Solutions Architect at Infor and Infor EAM about “Using the power of Transactional Data for Insights into your Asset Health”. Get the answers to your EAM questions along with Kenneth's unique insight on the “How” on this Industrial Talk interview!

You can find out more about Kenneth and the wonderful team at Infor by the links below. 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!

KENNETH FORLEMU'S CONTACT INFORMATION:

Personal LinkedIn: https://www.linkedin.com/in/kenneth-forlemu-6ba5808/

Infor LinkedIn: https://www.linkedin.com/company/infor/

Infor Facebook: https://www.facebook.com/infor/

Infor Twitter: https://twitter.com/infor

Infor Website: https://www.infor.com/

PODCAST VIDEO:

YOUR INFOR EAM TOOLKIT:

Click on the InforEAM Toolkit picture above and receive the following “Must Have” EAM reports:

1. 7 Steps for implementing reliability-based maintenance
2. 10 steps toward a paperless operation with mobile EAM checklist
3. Asset intensive industries, finding the straightest path to the cloud
4. EAM vs CMMS, don't get fooled
5. Infor EAM Brochure
6. Infor EAM Overview
7. 9 fleet management challenges and how to resolve

THE STRATEGIC REASON “WHY YOU NEED TO PODCAST”:

OTHER GREAT INDUSTRIAL RESOURCES:

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 Licence for Future Industrial Leader):

More InforEAM Related Podcasts Below:

https://industrialtalk.com/infoream/

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 TRANSCRIPTION:

SUMMARY KEYWORDS

Infor, InforEAM, kenneth, asset, incrementally, industry, industrial, platform, transactional data, business, data, Industry 4.0, conversation, users, podcast, customer, existing, health, talk

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. Welcome to the industrial talk podcast. absolute honor absolutely an honor that you've joined the industrial talk podcast where we celebrate industrial heroes, the women and men of industry, the women and men of manufacturing, and everything in between. You are bold, you are brave, you dare greatly you innovate. When you innovate, I love the innovation side. And you're changing lives and you're changing the world. That's why we celebrate you on the industrial talk podcast, in the hot seat in the industrial talk, hotseat Kenneth Forlemu. Forlemu. Nope, I got that right. InforEAM is the topic. Let's get rockin, you know, what's a great town.

01:12

We had a little family matter to address, not just a friend.

01:19

And we had to go up to Nashville. And we spent some time up there. You know what's so great about Nashville? They've got seasons, they've got great food. They've got great music, they've got great people. It's a great place. So anyway, we had a good time up there. And

01:38

highly recommend if you've put that on your bucket list if you've never been there. Great, great. town. All right. We've been talking a lot about asset management and

01:50

this IoT world that we live in, how do you enable all that? What do you do? You need a platform, you need a platform like InforEAM. And that's the sort of the Industry4.0 enabler you need, you know, you're collecting all this data, and you need a system. But this conversations just a tad bit different. And what makes it so interesting is that many of the individuals that I have spoken to, and we have talked a lot about IoT IoT Industry4.0 edge, everything cloud, you name it, we've talked about it in that space. And it's all great conversation. But what if I want to approach it incrementally? What if I want to take this digital journey incrementally, you will need a system you will need a platform to be able to proceed forward into the future creating that business of resiliency, you're going to have to do that you're going to have to have an enterprise Asset Management System. You know, just put that down? Why not start there? So you say okay, I'm going to start there.

03:00

I understand all about the devices, I understand all about the great innovation that is taking place within this industry4.0, but if I want to just do it incrementally, can I do it with a system

03:15

and and just be able to capture transactional data to get really clear indication on the health of my assets? And the answer is absolutely, positively Yes. And that's what this is about. So let's say you want to go down this journey, you're gonna have to have a system, right? You're gonna have to have a system?

03:37

And can I leverage that system to be able to generate insights into my right into my, the health of my assets and my business on a real time basis? And the answer is yes, you can take existing transactional data and be able to draw from that clear indication of the health of your assets. That's what we're going to be talking about with Kenneth. He is a Solution Architect, I go out to his stat card out on LinkedIn. Yep. Here is the cool thing about it. He's been with Infor right? He is a I want to say a senior architect. Yeah. He's been with Infor for 21 years. Well, so he knows his stuff. He understands what business needs. He understands how to leverage technology to its fullest. Mark my words, you're gonna love this particular interview because we're just, we're just helping listeners and individuals. Take this journey forward this industrial 4.0 journey and how do I do it? There's just a lot of moving parts. But I'll tell you right at the center of that is an enterprise system that you need to put in place and can add system right can add system be able to analyze the health of your overall assets and condition of your

05:00

Business and the answer is absolutely. All right. Let's get a go in with the interview candidate Forlemu, that's fo r l e m EU senior architect. Not many of those guys out there so you'll be able to find him reach out to him on his card. We'll have all the other contact Information at industrialtalk.com. So enjoy the interview with transactional data's on the hotseat. Let's not mess around with that. Enjoy. Alright, Kenneth, welcome to the industrialtalk Podcast. I am so glad that you made time in your schedule to be able to be on this particular podcast and share your sage advice with acid management's. There you go. That's my that's my introduction. How are you doing? I'm doing great. I'm doing great. Thanks for for inviting me to join your podcast. It's definitely the the honors on all on this side. Which is because I got your stat card up there, I've got your, your LinkedIn stack card, I've got your form that you filled out. And I'm telling you, you've got mad, mad street cred out there when it comes to maintenance asset management and and that the InforEAM platform. And I always think that that Infor aim platform is a facilitator of the industry4.0, because it's one thing and we're going to go into this and you're going to tell the story, but I have to get this off my chest listeners, bear with me. So okay.

06:25

All this talk and all this excitement that's wrapped around industry 4.0. And it's like, I've got to go out, I'm gonna do this, I'm gonna do that. But they have no place to put the data. Like, you got to have it. And then when you get the data, you got to be able to sort of do something with it. Not you have to stick in some fashion Yes, site collection of data for the sake of collecting data. Well, it's like digging a ditch, just because I mean, yeah, did I mean did it cosmic transformation is quite quite a quite a big deal these days. Because, as you know, they call it big database is all about it, basically AI

07:03

diligence is days that we can actually manage such unstructured data. Before we get into that. So let's give us a little background on who Kenneth is. And then we're gonna dive into transactional asset health.

07:16

Yes, so my name is cannot follow me I hail from originally from Cameroon. That's in the west part of Africa. I'm came to the States to study

07:27

in 1994 and went get an MBA and join in for 1999. And here I am. Today it so 21 plus years. You're one of the old ones. That dinosaurs Yeah, but boy, do you? You know, that system? You know that? If Have you always been with the sort of the EM platform? Yes. Yeah. So.

07:54

So I started with MPT, which is the right, the brainchild of eating four of em, then progress to, to info E, which I've been using for, for the last, I'll say last 1819 years. So, as you've seen a lot, I've seen a lot. And I've, I've gone through the ranks tools from consulting to project manager to architect which I am today. So it's the full breadth of the implementation. There's no question I could ask you that you don't know. I hope so.

08:27

Because I can imagine you just sort of sometimes sit back and you say, Hey, I was with Mt. Two, we, we had this system, we were pretty proud of it and all this good stuff. And it did a lot of fun stuff to where you are today. And you're looking at what, you know, the cloud suite that in for all of those solutions, how they talk to each other and link and collect data, great insights. I've just, I can't imagine how far that is. But the good news, the good news about InforEAM is that is growing very rapidly, which means that I have never bought to learn new things. So every single release has a lot of stuff that that I have to learn. So it's a it's it's probably I mean, it's progressing very, very fast. So that's interesting you make and we were talking briefly prior to the podcast, innovation never stops, and that he nodes with the Infor em platform. And that's like, that's a pretty doggone robust platform. And it's all evolved point C growing, adding new features every every, every half a year, I have to ask one question I have to where are you getting? Is that internal? Or do you listen to users and user saying, Hey, we really would like this thing to do XYZ, would you? And then of course, create the the you know, yeah. But there's really three areas. We have to have user conferences. Yeah, that we stay users actually share his experiences. We have what we call the product product improvement requests that users customers can also actually submit requests for improvements.

10:01

And then of course, we are on the road implementing em. And we meet new challenges every day, which we need to meet customer demands and customer need. So we all project that back to our development team, reviews them, contacts, industry experts, and then put them in the roadmap was for what is necessary. See,

10:22

once again, as just industry wide, we just never stop innovating. Oh, and that innovation always constantly impacts the enterprise. So it's a beautiful thing, honestly. So it's a beautiful thing. And I bet, I bet you still get to the point where it's like, Wow, that's cool. I That's all it is. Yeah, this in fact, just two days ago, I saw something in E in E info E and which I have not seen before. And I said, Well, that was really cool.

10:50

This is just slightly some new features that nobody talks about, which are very neat. See, you know, and cool is a technical term. Yeah, I might have. Yeah. Cool.

11:01

All right. Before we can really get into the conversation, I want to sort of frame this discussion because this is interesting. I've, I've had the fortunate opportunity to interview a lot of people and this whole industry 4.0, IoT, IoT, edge cloud, you name it all under the industry 4.0 sort of banner, digital journey five, it never stops. Yes. The interesting part about that, if I put my business hat on, is it sir? I mean, do I have to really go down that road? One or two? I have existing data that I just don't even access? I would see. And that's where we start talking about transactional data? Can you sort of outline that a little bit?

11:44

Yes, transactional data for us means that

11:48

this is data which is being created from using InforEAM. So when you capture all your inputs, all your attributes on work orders, whether it is work management, procure to pay, plan to inventory, when you have all that data in the system living in structured data at this point, you cannot use it because you have all the attributes you use it for, to actually use some algorithms, some logic. So business use cases, to actually capture exactly how you want what you want to capture out of the system. So we use our current transactional data to, to develop algorithms to to measure whatever want to measure, in this case, perhaps asset health. And you say that's not even you haven't even deployed an IoT device yet? Not yet. Just looking at transactions with Yes, within the business. And that's great in a work order. That's correct. Can I have my asset registry, Ticket Ticket Ticket Ticket, and I've got data behind it now. But but there's a lot of work that has to be done to get to that point, right? Well, yes. And that's part of the implementation. Because when we go to implement em, we need to do to find out what are the overarching requirements for the customer? What What's your goal? Right? He has, I mean, you're gonna achieve a lot from em, want to make sure that as part of implementation, we're capturing all the inputs that may be used to actually calculate as a health? See, that's interesting, because you can sit there, have that conversation, have that design conversation saying what's important? Yes. Where are the gaps? This is how it how the system sort of deals with it. And to be able to really say, I got a good picture. Let's take this transactional data and create this dashboard, this insight, this ability, and it's really just from the system itself from from a system itself. Normally, I mean, the only edit

13:46

I guess energy would be to, to to come up with the algorithm on watch the finance asset health in your industry, what do you consider asset health

13:55

care differs from industries, but you're glossing over, you've got to put the time, energy and effort in the beginning to be able to do that. Right. A lot. Yeah. And and my, my history and recommendation to the leaders or listeners is the fact that that has to be done. And don't cut, don't cut corners. It can be arduous, painful, but don't don't cut corners on that. It makes I agree. Yeah, I agree. It makes probably the implementation

14:26

far more accessible. And that I think that what you said is very, very interesting because they are different. When we go to customer sites, they are on different levels on their maintenance operations. We are very mature companies. We have companies that just getting into maturity. Those companies are very mature in their operations, the company, the companies that want to make sure that they have all the inputs to capture that asset health are the companies that may not be at that step, same level.

14:58

Just go incrementally.

15:00

Just phase it in, right? We don't have to do everything at one. And phase one, we can go to phase two, phase three or phase four. She can just progressively go into into the implementation to make sure that by phase five, that's where you're gonna end. You have all the inputs actually capital asset health, she doesn't have to anyone. That's good. So you can you can deploy the Infor em platform incrementally. Yes. Wow.

15:29

That's good. And that's what we advise, in fact, because what we've discussed, we've discovered is that many customers who want to get get everything, all the bells and whistles before they actually go live.

15:41

They may never go live. Yeah, they may never go live. You're right about that. That's true. Nobody's gonna know. I'm ready. Let's turn it on. I mean, I and I always tell it with with a very simple example, that's good. If you have a new app in the App Store. You notice they have updates, perhaps every couple of months, and within five years, you have a full fledged update from day one, he was not didn't have all the features. I thought you could have an example. Because you have incrementally added features to mature, make changes along the way, once you get it. Right. See, I like that that's a great analogy. That's a great example. The other thing that

16:21

that exists out in a mature business, you've got legacy stuff, you got legacy systems and legacy data collecting, you know, transmitting devices. Correct. That's all a part of that. Right. You you sort of optimize what they have. Right now. You could do it incrementally. We've already established that. But that would be an ideal situation, like, optimize that existing, you know, portfolio of of, you know, systems. I agree. Agree. Agree. And in fact, that's, I know, we're not we may not talk about that today. But that's the reason we have the info is because we want to be the center of it. transformation that's waiting for wants to be. And that's our goal. And that's in four oh s right. That's info West, and that helps facilitate or connect legacy systems, right? Yeah. Nice. Yeah. See? Yes. So we want to be the center of the enterprise ecosystem, right for all their digital transformation needs. And then once again, you get the transactional data from these legacy systems. And it's able to create greater

17:38

insights and vision into the health of your asset in general as and your organization. Yes, I'm because info is maybe the center of the ecosystem, we can just grab all that data, and putting the data warehouse what we call the data lake, the lake, the lake, and then we can now transform it, and analytic tools to get exactly what you want. I'm always fascinated by the fact that, and many of these mature, you know, manufacturing businesses have all this data, it exists. And it will already Yeah. And then with this solution, this in for Iam solution and the power it possesses, you you fundamentally change that particular business with that platform, I see things that I've never seen before. That's correct. That's correct. In fact, that's why we have I'm sure you've heard of we have the person to write it, the AI the coal mine in for coal mine, yeah, mixed our AI tool.

18:41

So those are the tools that can be used to actually farm this data warehouse to, to get to get exactly what we need to make sense out of the data. I've got to ask the question, let's say and I mean, I've been very fortunate I've had, I've experienced a lot of different types of platform. Sure. Now, you have you mentioned briefly about how you've sort of changed as he gone along and you kept on growing and made him more powerful, more intuitive, whatever, it might be correct. Where's it going? It can it? Can it ever get? Are you 95% there and you know, now you're, you're fighting for the last 5% the incremental improvement, Oh, where are you at?

19:25

I'm not sure that everybody knows where we are. Right? It's one of those things just cost planning improvement, right? I mean, the world is changing, processes change, requirements change, and we just go with the flow.

19:38

You know, so it's,

19:41

what I will say is that it em is very info is very mature.

19:45

product is very mature.

19:48

But otherwise, since things are changing around the world, in terms of processes and manufacturing requirements, we have to pursue that to regulations are coming up, we have to make sure that we build in

20:00

autoregulation tools in there. Yeah.

20:04

Because your platform is that robust and flexible. And the way it's designed is pretty spectacular.

20:11

We talked, we spoke of manufacturers never stop innovating. Manufacturers never stop, and everything that goes into manufacturing all the inputs, they never stop. Right? No. And therefore, you, you have you can't be the system that says, I'm sorry, we can't accommodate that new innovation right there. You can't, yes. Good. Yes. And we also have to be too deadly technology to technology is changing, right?

20:39

I mean, not a few years ago, you know, we had a full revamp of em with what we call html5. Because we had to make e info E. Cloud from agnostic, browser agnostic. So if you already have

20:55

Firefox, we have Chrome, we have Chrome. So yeah, before it was just IE, Explorer. And that was a limiting factor for us. We now if you have any browser, you can use em is a browser agnostic today, because it's a cloud based solution. Jump on that. And I'm just I'm always, I mean, there's just so much

21:21

great things that exist with it in 4am. And not just that in for in general, the thinking that is going on the conversations that are taking place, not just internally, but also externally, the the users and the communities out there, they're just saying, and it's just making your system. Just

21:43

amazing, I love it. I love it. I can tell you've been there for 21 years, and you look like you're 13.

21:52

The good news, the actual good news for my part is that I also had the opportunity to, to work in what we call the service industries with time with info. And what I meant is that I was had been I mean, I was open to, to seeing all that info applications. Right? Click cloud suites, cloud suite, financials, cloud suite industrial? Yes. Our our products are pretty, pretty good. I see that. I have to ask the question. Yeah, I got in for I am, there's a look, there's a field, there's a user experience with it, right. And, and that's all a part of it. Because you don't want it to look like garbage, nobody will use it. And it better navigate well, because nobody will use it. And it's all about, you know, getting people to use it, if they don't use it, and then enter in good Information. And it just sort of, once again, it's a people and culture. And in fact, in fact, that's one of the teams reach out or say that info has done which was critical that after acquiring all these many companies with applications, yeah, they had to make sure that they all have the same look and feel that's exactly. So that's it mainly because otherwise you go to a company, they're using InforEAM and the other person's using this system or application, they wouldn't even tell if they're from the same company. Yeah, right. So we have an in house

23:12

department where the actual job is to unify the platforms. See, I love that heavy because oh, if I had the if I was king of Infor, I'd probably screw it up and it'll be orange over here. Then the other lapper probably green and it would look. I it wouldn't work. It wouldn't work, then. And there's a there's a a look that. Yes. Is

23:40

it's not threatening? And I've been a part of other systems long ago, by the way. Oh, really? Oh, yeah. Long ago. Yeah. And they were awful. Yeah, it's made it quite, quite easy for the eyes.

23:55

And you know, what's interesting, because you have Infor OS. And I remember long ago, taking off my history hat here is

24:03

the biggest challenge was always like, you walk into a client and say, so what about your legacy systems? What's important? What's not what, what do you do if you have that conversation? And there's always the time when somebody says, that's the most important legacy system? I'm never getting rid of it. And it might have been a dog on Excel spreadsheet, who knows right? There, you got to try to figure out an interface between the Excel spreadsheet and your enterprise system by system a mess. No, no, yeah, you sit there and in pain. All right, we're gonna have to wrap this up. I like it. transactional asset help. That is a powerful conversation you're looking at in for em, just through the transactional activity of your business. And let's say the legacy systems that exist today, you're able to pull out some really decent gold nuggets of Information and insights.

24:55

definitely get back to your leadership. I will nuggets of Information and

25:00

assets and insights. Good ever put it on a bumper sticker? Hey, are you on LinkedIn?

25:08

Yes, I am LinkedIn. Yes. Okay. Got a good stack card out there. And I'm gonna spell this out for you. Is Kenneth K and E th. For Lemieux? Did I say the right? That's correct. That's FLR l e m EU yet? And I'm sure there's not many out there that no, I'm the only one that you're the only one on it.

25:33

Yeah, check it out, man. I guarantee it. That's pretty

25:37

good kazillion users of LinkedIn. So

25:41

he's the only one. Is that rare?

25:45

All right. Kevin, thank you very much for joining the industrial talk podcast. Absolutely enjoyed the conversation. Now listeners.

25:53

Do not go away. Stay tuned. We're gonna wrap it up all on the other side of the break. Remember, Kenneth we're gonna wrap that up on for him. All the contact Information will be industrial talk comm Of course. Thank you, Kenneth again. Thank you very much. All right, listeners. Stay tuned, we will be right back. You're listening to the industrial talk Podcast Network.

26:21

All right, can afford me Forlemu Oh, sorry about that. KENNETH, I'm trying very. Alright, you can tell he has some mad skills out there, reach out to him on his LinkedIn,

26:32

he would be absolutely happy to connect. Now we talked a lot about it. 4am on this particular podcast, now you have a suite of other cloud solutions within the EU and in for family. They've got the OS. That means in four OS, you can connect to all those legacy systems which I know you have, right. And then you've got also in for Coleman. That's their AI product.

26:56

tell you it's exciting times. All right. Reach out to him, you're gonna have all the Information that you need about Canada at industrial talk comm as always, I'm telling you to be bold, brave, Daring Greatly, and not just you. But I want you to find individuals that are bold, brave and daring greatly. And then you'll change the world. And you're gonna have a great time.

27:19

Everything out on industrialtalk com, have a wonderful day, be safe, and we're gonna have another interview shortly.

The post Mr. Kenneth Forlemu with InforEAM talks about Powerful Insights into Asset Transactional Data appeared first on Industrial Talk.

In this week's Industrial Talk Podcast we're talking to Clay Bush, President of Stratum Consulting Partners and Infor EAM Solutions Partner about “Infor's Cloudsuite EAM solution for Asset Lifecycle Management”. Get the answers to your EAM questions along with Clay's unique insight on the “How” on this Industrial Talk interview!

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

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PODCAST TRANSCRIPTION:

SUMMARY KEYWORDS

asset, people, equipment, ranking, diagram, system, Clay, platform, important, industrial, powerful, talk, industry, data, nonconformity, condition, planning, asset management, podcast, motor

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. Alright, welcome to the industrial talk, podcast, absolute honor and a joy that you have joined the industrial talk podcast. And it is here that we celebrate the women and men of manufacturing, the women or men of industry, because they are bold, they are brave, they dare greatly. They innovate, what do they innovate? They never stop innovating. That is so cool. And they're changing lives. And they're changing the world each and every day. Why not celebrate them? Thank you. Thank you, thank you for what you do. All right, in the hot seat, industrial talk Hot Seat today, we got a gentleman by the name of Clay Bush, President Stratum Consulting Partners, and they're a partner within for em, a heck of a system. heck of an enterprise Asset Management System. We're going to be talking a little bit about how you look at those assets from a risk ranking criticality and you name it. Alright, let's go.

01:19

Big time.

01:22

He's dude, he's great. And I'm just right off the bat right off the bat. It's podcasts. Don't get me wrong, podcast, podcast podcast. But Clay has a wonderful

01:36

diagram of what we cover in this particular podcast. And it's, you know, step by step by step by step. And it's clear, concise. So yeah, you're gonna listen to podcasts, it's all good. Listen to this podcast all fine and dandy. But I highly recommend that you also look at that video and that of the interview, because the diagrams really good now, say to yourself, Scott, I can't, I can't, I can't watch. I can't watch that video. And I'll say, okay, no big deal. Just go out to industrial talk.com we're gonna upload that particular document. And then you'll have it, and then you can refer to it.

02:18

Excellent, excellent document. Now, one of the things about asset management,

02:24

and the system that we're talking about in 4am, absolutely powerful, powerful system, a lot of flexibility. Chest capabilities galore, right. But what is really pretty cool about it is if you look at asset management,

02:42

from from the perspective of a doctor, right, these practitioners, these Asset Management practitioners want to keep that asset healthy. And they're going to be running tests, and they're going to look at data, and they're going to continue to just constantly look at that information, and to make sure that that asset is healthy. So if you look at it from that perspective, it's got tremendous value. And the people like Clay and others who are in this particular profession.

03:12

I mean, they're, they're doctors in asset management, and they're, and it's really pretty good. At this particular conversation, of course, just lays out step by step by step. And it makes complete sense. And you're just gonna is going to enjoy this conversation. Clay is fantastic, and his team at Stratum Consulting Partners, one of the best at deploying the infor em platform. Now, one last comment, before we get into that interview, right?

03:44

I'm going to continue to challenge you. Because we need you as not just, you know, we need you as a company, we need you as a professional, we need you to be engaged, we need you to be at your best. And and to do that I'm once again going to challenge you to collaborate with people, not just internally, not drinking from the same well, but externally as well. To be able to, you know, challenge some of your thoughts, you got to collaborate and find answers that are once again, the second one is, is innovation. So collaboration for innovative solutions, not just technology, but also just people right. And and I'm constantly learning about how to work with people better. And one of the challenges I have, of course, is I'm very driven. And sometimes that's a that's a challenge. So I've always got to work with and I've always got to be innovative, so collaborate, innovate, and educate. There's no reason the speed at which this this industry for Dotto, IoT, IoT AI and everything else in between

04:49

is moving at a feverish pitch. And many who are in the industry. God they publish out there right there. They've got information out there. You've got to stay current

05:00

You've got to stay current because it is changing fast. And it is something that is never ever, ever, ever going to go away. So it's important that you educate. And it's important that you do it with a sense of speed and tenacity. You can't give up, you can't get lazy. You can't just sort of go, Okay, well, whatever it's on there. Because back to the doctor analogy, right? You're not going to go to a doctor, if that doctor graduates from medical school, and then just sort of stops learning, right? But we all know that the the field of medicine, just like the field of manufacturing, the field of industry, the field of asset management, and everything else, constantly changes. And it's because of people like Clay and others are innovative. That's what it's about it is. So you're not going to go to a doctor that doesn't keep current and doesn't educate themselves. Educate yourself. Alright, Clay Bush, is in the hot seat, go out to a stack card. And I want you to type in Clay bush. And if there's multiple Clay bushes, which are probably as I want you to just sort of put a little comment in there type in Stratham. That's str at USM. And I guarantee you, you'll find them

06:13

great picture out there. No, no doubt about it. And you'll be impressed with his stack card, his depth of skills as not just with him, but but team Stratum. So

06:25

enjoy. Remember, it's going to be probably the majority of that video, got a diagram doesn't matter, because you're all committed to education. That's why this is going to do well. So enjoy the conversation.

06:38

All right, Clay, welcome to the industrial talk podcast. Again, it's an absolute honor that you have joined, and to share your absolute wisdom with the listeners of the industrial talk podcast. We're very happy that you're here we are good morning. Hey, good. To see you. Good to see you again. Yeah, good to be seen again. Absolutely. Especially in this whatever this next normal is new, normal, exactly whatever it is, but it is absolutely, it's you know, what's fascinating, is the fact that we can be able to have this conversation using technology and still sort of, you know, add value, add content, add information for people who are are listening, and truly want to learn and grow and all that good stuff. All right, let's level set real quick, let's give us a little background on who Clay is. And then we're going to proceed forward from there. And we're going to talk a little bit about infor cloud suite EA m product. So listeners, you're not going to want to miss this. And and and note itself, it's going to be a video. So we're gonna, we're gonna look at a diagram. So you're just gonna have to go out to industrial talk.com. Find the doggone video and look at what Clay is talking about their play. All right. Yeah. Thanks, guys. Sure. Broadcasting from Denver, Colorado today, and representing Stratham consulting says the company I founded back in 2003. So we are an in for Alliance partner, and we implement the infor em product line exclusively. So we're very narrowly focused and deeply skilled around that product line. So that's what we're here to talk to you about. Yeah, or Yeah, see, and I think. And as we dive, as I digress real quick, I think pre

08:18

pandemic pre virus, I think we were just sort of a little lazy, little distracted by maybe we're moving forward with business, that's all good. And but now we're in this particular post, whatever it looks like world we live in. And I think that to truly be a business of resilience, you're going to have to leverage technology, you're going to have to be innovative, because you never know if, if this will ever happen again. And you don't want to be in a position where you were when we were free. I think the conversations around technology and innovation are far more sharp and point to greater success. That's just me. Couldn't agree more. We're there just in the nick of time for COVID to hit for us. Yeah, manage all this stuff remotely. So yeah, absolutely. All right. listeners, we're gonna start talking a little bit about em, enterprise asset management in force, the company aim, and we're talking about a cloud sweet. So the data, this particular platform resides in the cloud, you don't see it, but it's up there. And it's powerful, it's nimble, it is, it's flexible for whatever product or business that you are in. So let's start with that. We're going to we're going to start shifting and sharing a diagram. And we're going to start talking a little bit about that. So if you are out there on video, we're going to go down this, okay, we've got a concept map, talk to us Clay about this particular map. The reason I put this map together is to try to demonstrate, of course, not all of the features inside of em because they're voluminous and they wouldn't, it would be a much larger diagram. But what's important to know about this diagram is that over the years, the platform has grown. Of course, it's grown

10:00

But it's grown to the point where you can really manage the assets lifecycle completely front to back. From the time that you purchase it, even when you're planning to purchase it all the way through to the point where you can estimate how long it's going to continue to live, and plan for its replacement well in advance of the need to do so. So you've got a complete set of tools. And in the past, some of these tools were really point systems that were outside of the ATM, but now the footprint of VA has grown. So it's kind of subsumed, a lot of those little point systems that used to be sold. And there's no longer need for that it's all in one platform. And I like it, because the conversations that I've been having, with many within the industrial space, the manufacturing space have been around how do we innovate? How do we leverage this digital journey? And what do we do because you can, you can quickly get disconnected. But em and the platform and the flexibility of this particular platform lends itself well with all of the technology and all of these enablers that, that companies are looking for to succeed. And and that's what makes, you're gonna have to put it someplace. And that's why this particular platform is so powerful. So let's start a little bit about agis asset registry them. And if you're not out there on video, we're talking left to right. Asset registry top is sort of a hierarchy, asset registry work management, long term Capital Planning, planning, and then sort of business analytics, modeling and so on that's at the top. So let's talk a little bit about asset registry play. Yeah, I think this is a timeline. And Scott, the asset registry has always been the foundation, a VM, that conceptually that hasn't changed. What has changed is the richness of the asset registry, the functionality around asset data that can be put into em has really grown. So yes, you still have the basic equipment master. But now you have, for example, the ability to add, you know, virtually unlimited fields, and content, rich media attachments, all that stuff,

12:10

you have looking at the bottom, you have now the ability to spatially visualize your assets, whether that's in a 3d model like AutoCAD, or BIM, or a 2d mapping model like GIS, regardless of what your asset type is, the state of the art is you need to be able to visualize it on a drawing or on a map. It's not just text in a screen anymore. Now, with that said, that's, that's powerful stuff now is that on, it cannot be done, let's say my asset on a real time basis, so I have a motor out there. I've got it in my asset registry, I have all of that capability, be able to look at that, that motor is their way of being able to sort of spatially look at that asset and and the health of that asset on a real time basis. Oh, yeah, absolutely. Even like, even if it's a GIS map, or if it's a 3d drawing this, the principle is the same, you need to be able to visualize that asset where it exists in overall asset structure. And you need to be able to drill into it and find out it's held work order history, its criticality, and pop up the drawings, all of that stuff from within that visualization right now and clicking on a record on Yeah, and it's foundational play, I mean, you get, you've got to really invest a lot of time, energy and effort to be able to do that accurately and correctly and create those processes. Now, just like anything else, within a in a business in a manufacturing or an industrial environment, I'm going to change that motor out. If I do this correctly, that that switch, can that switch out of motor is relatively easy. And then that same visual or spatial visualization would exist for that new piece of equipment, right? Yeah, yeah, you get into topics like replacement, unchain versus management of change, which also is handled by EA and but the process itself is pretty simple. Yeah, man. He says, yeah. And then, you know, within that asset registry buckets got there's a, there's another one, I've got listed there called equipment ranking, which is kind of deceivingly simple, but very, very important. And this, this feature has been in for a couple of versions now, but it's really grown to be very important. I mean, what you have the ability to do now is formally rank your equipment along several different key dimensions. You can rank your equipment by risk, you can rank your equipment by criticality. And you can rank your equipment by condition. And no matter which one you're approaching, you do it in a formalized way by establishing a survey with questions, answers, scores, weighted formulas. So it's, it's a very, I keep using the word formalized, but it's a very rigorous way to establish your your equipment and where it ranks versus the other equipment that you have out there so that you can focus your attention on the right things. So why is that? Why is that important outside of the realities that I can focus my attention

15:00

Is that really the driver behind creating this sort of equipment ranking? That the important thing about it, is it it is formalized. It's in the database, everyone knows the rules that you apply to get that ranking in the past before features like this existed, you had equipment, criticality field, and people would use it in a haphazard way. So if you sort your equipment by criticality, you know, it was maybe more of a matter of opinion, rather than a formalized, rigorous assessment. Yeah. And that would make that, hey, this is my favorite pump be at the top of this particular criticality rating when it might not be though. And I would imagine that it would also drive my,

15:41

my purchase decisions as well, what do I need to have an inventory and vice versa, I don't have that. This is a critical base, it might be a small pump, but it runs, you know, half the, the the environment, whatever it might be. And so I need to have that available. So that things like this equipment ranking informs a lot of things downstream, which we'll talk about. So it's really a key foundational elements of get your equipment master set, you know, nomenclature, richness, completion of data, this visualization and the ranking setup properly, you're going to be in a great position downstream to do all sorts of things and see, and when I look at this particular diagram, it makes sense that you're going to invest a lot of time in making sure that your equipment is properly identified rank. And then just by virtue of doing that work up front. As I go to my my left side, when I start talking about work management and Capital Planning, it makes that effort a little bit more streamlined. Is that correct? You got it. That's the way it goes. Alright. Let's, let's talk a little bit about work management right now. Yeah. So let's move on over Of course, the heart of em system for years has been work orders, right. Yeah. You know, that's the main cost collection vehicle and reliability, data collection, vehicle, a VM, right. It's still the case today. But now you have expanded capabilities, even in the work management realm, like what I've got depicted here, calculated work order priority, this is a way that EA m can assign a work order priority. And it's tied right back to that ranking. Yeah, establish a condition rating and you put work orders in there, there's a background process that runs and continually updates the work order priority for you. So that if you're a planner, and you're assessing the backlog, you get a much better picture of

17:31

the most important work orders in the backlog, not just the user assigned work order priority, this is a calculated priority that really takes into account not only the users assigned priority, but how old the work order is, and its ranking. So that's a great Planner Tool. Seems simple, but it's very powerful. Yeah. And once again, as I look at this particular diagram, we've we've done our work up front, we've created our criticality of our risk of our equipment. And it just sort of naturally fits in with that work order prioritization and how that system looks at all of the dynamic pieces of information on that particular asset, and be able to rank it, that's a powerful, powerful tool, it's much better than just user assigned for already in date, which is traditionally how people have ranked it backlog. dine, replace this motor because it's in a nice section of the area over there.

18:25

And then you've got, the next thing I've depicted in the diagram is non conformities. This one's reasonably new feature as well, but expanded in the last couple of versions. And this nonconformity is is a intentionally general term, it means that you've noticed something about your equipment that needs to have continuous attention or attention downstream, you don't want to lose track of it. So in the past, people might have put a work request in to identify things like this a crack, you know, a noise, something that's not critical at the moment, but you want to not lose sight of it, because it may become important. So this whole nonconformity tracking takes out that piece and sets it in a module. That's not a work order. It can become a work order later on. But it's an auto reminder system, a tickler system that says, hey, you noticed this issue on this piece of equipment. And based on the way you scored it, you need to look at it again in a month, or three months or six months. But it's a it's a way to, again, have a regimented rigorous ways to keep track of potential defects and make sure you don't lose them at the right time you slip it into a work order and take care of it and then there is it out, would I use this particular section of em or this particular module, if I'm doing vibration analysis, and I, I see some sort of trends that are taking place what I sort of say, adding this asset, we had this little squiggly line and so on. And so, what I do with their that might it be a case to introduce a nonconformity mild vibration on a pump in a motor? Sure. That would be then that'll tie also into the next topic, which is IO.

20:00

But non conformities a lot of people think of those as originating in the transit industry where you're examining bridges and structures and things like that. So you may notice a crack or some scoring or something like that, that, yes, it's cosmetic at this moment, but it could you know, how water eats away at structures and things like that it could become critically important down the line if we don't keep track of this. But bottom line, you need a place to put those those I have observed this. And if you didn't have a place to put that, that observation is like, I have no place to put it. I don't know where to go. Well, people used to cram it into the work order file. And that's right, work orders and complicated the backlog that Wow.

20:40

Okay, listeners, that that's a big topic backlog. And working through that backlog. Continue. Continue. Yeah. And then of course, the, you know, one of the biggest topics going on in Asset Management right now is IoT, right? In the old days, we used to call these skated interfaces, right? Yeah, principle is the same, you're going to get this telemetry data, which itself is an old school term, telemetry data out of your SCADA system, your control systems, your devices in the field and into em where you can act upon it, right? two simple cases. One is you want to get equipment usage, from these devices into em, and let em generate your

21:19

plans, scheduled maintenance, preventive maintenance routines, simple case, a lot of people doing that been done for a long time. Beyond that you want to bring have the potential to bring in alarms. Yeah, their telemetry data, temperatures, pressures, things, you want to put some boundaries around. And if they start trending outside those boundaries, then you're going to act on it, you're going to create a work order a work request, or just a simple notification that says, hey, pump a is consuming more energy trending upward, or the temperature yes, those those two different systems like,

21:52

skater, let's just call it skate and em were separate for so long. But now it's so easy to integrate them. That's, you know, it's IoT. Yeah, what you're saying is that this particular em platform is able to just get that data collected. And it's somewhat agnostic to it. I don't care if it's a scalar DCs, whatever it might be, wherever that data resides, I'm able to sort of through whatever interface Yeah, pull it in. Mm hmm. That's right. Now, these data systems, these IoT systems, they collect so much data, it's like an ocean of data out there, EA m doesn't need that much, just a few sips, every few hours or every hour. Yeah, to do its thing. So having that easy integration gets the right data to the right place at the right time. Yeah, I like that. All right, let's talk a little bit about Capital Planning and long term.

22:44

Alright, so moving on over, let's just, you know, of course, assume that you've got your foundation of asset registry in place, and your work management processes and procedures are in place, yeah, reasonably mature. Now, you can start looking at looking towards the future, if you will, getting that forward looking view, it's not just a lagging indicator, we've got potential leading indicators that will inform us on how much longer these items are likely to last. So really, what we're talking about is these three key things.

23:17

One is

23:18

facility condition assessments. And in the past, before, some of these features were in em, we would conduct facility condition assessments by virtue of a work order, with a checklist, you know, on mobile, and it was a good process, very good process. There's nothing wrong with it. But essentially, what you're doing is, every year to three years, depending on the criticality of equipment, you're going to go look at it, and you're going to say, Well, this is good, fair, poor. And, presumably, in your database, you know, when you bought that thing, and we can put average estimated lives by classification on equipment, but then when you do a condition assessment, that means your asset may not last as long as you thought it would, based on its condition, or it may be really good. And you can take it on beyond where you thought it was going to last. But you don't know unless you get out there and and conduct these condition assessments. So this, again, ties back to the equipment ranking, you can now do condition assessments through the ranking module, which is a very formalized, regimented scoring mechanism to do that. You don't have to do it through work orders anymore. Can I look at particular sections of my facility and get a condition assessment based off of let's say, my, my equipment ranking in that particular location? And it sort of gives me the health of that? That's a common question. Yeah. People want to know,

24:39

especially managers, they don't want to know that this motor A is a condition to they want to know, at a system level. Yeah. You know, think of a wastewater plant. You know, the whole headworks system. What is the condition of it? arola. So, yes, you still You can't escape having to do those low level condition assessments, but the roll up capability

25:00

It tells you the overall health of the system. So yes, important yet. And then you can, you can drill down from there, you're gonna say, Hey, I'm yellow, whatever the dashboard is saying, I'm yellow in this section, let's drill down. Oh, it's that, Oh, I got it. There's a work order Arctic, I can I can just get I can get the information I need to that's right maintenance people tend to think in discrete assets, engineers and managers tend to think in systems, yes, you can get them the type of information that they need

25:26

to make their own decisions on.

25:28

And what's important as you start looking forwards, God is the next block I here have here is the strategy. If you take an individual item, and you think about it expiring, let's say 2025, we know this particular pump is

25:44

reaching end of life. Well, what are you going to do with it? Are you going to replace it completely in time? Are you going to rehab it? Re, you know, overhaul it,

25:54

you have to have a known strategy, or even multiple strategies available to you. So you can do scenario analysis, because invariably, you're going to have limited dollars. Yeah. So you may not be able to get that brand new shiny motor, and pump, you might have to do an overhaul. So given limited funds, you have these pre built scenarios in there that you could

26:15

trade off between, if you will, but that's now in the database and not in someone's head or on some contractors estimate. See, that's, that's powerful. And we take it for granted. And sometimes people are just saying, I got to replace it, I got to replace it. But but to have the data have the information available to truly be able to make those decisions on do I replace it or rehab it? What if I rehab it? How long? Is that gonna? You know, those are those are powerful strategies. Yeah, some equipment can be overhauled and brought to like new condition and some can't. Yeah, so the only way to know that is to examine each one and, and implement those strategies into the database. I love it. Right. And so, once again, this, this bottom block I have is remaining useful life analysis. yam does that for you. Now, you can see it right on the asset screen based on the ranking based on the condition, you can look right there. And it tells you the year in which it's expected to expire, simple as that right there. Easy reporting isn't dynamic? Is it a dynamic analysis? So it's pulling in IoT data? And it's heating up here? And whatever? It's Yes, it changes.

27:23

It is dynamic. Yeah. And this is something that we really, in the past had to embed a lot of intelligence in reports and scripts and things to produce. But once again, the platform is expanded to the point where this is just literally listed right on the screen.

27:39

That's pretty cool stuff. Pretty powerful. Yes. Cool. And you know, what a thought comes to mind Clay is that, you know, people businesses are struggling with that human element. You know, that knowledge, leaving whatever it whatever it's a it's a challenge. It's whatever this the the silver tsunami, all of these individuals that are leaving and retiring, and so on, and so forth. But the way you set this up, really addresses that if I do it right, in my agile acid registry, if I do it right, with my work management, and so on, and go from left to right here. The impact of people leaving and coming and going in the dynamics of just human behavior, is managed a little bit better here in this particular solution. Yeah, we've been talking about it for years is how to capture that knowledge and, and all these people that are going to be in this wave of retirement, so you're hitting the nail on the head. Yeah, perfect speaker getting that intelligence in the database and out of their head. Okay, so here's, here's a big beef for me. So the last block is business intelligence, analytics, data analytics, modeling AI, all of this stuff sort of resides? Can Can you sort of expand a lot because people talk about it. But I want to, I want to hear what you have to say about here. Sure, yep. This ties right into and kind of rides on top of the long term Capital Planning. So you'll have to make a little bit of a mental leap with with me here on the asset health dashboards, but what you're trying to present, you know, largely to managers and executives is here's our fleet, if you will, or here's our asset ecosystem. And you know, we can red, yellow, green, by system by individual asset. Here's a here are the assets that are good. Here's the ones that are, let's say, midlife and here's the ones that you need to be putting in the budget for overhaul or replacement. In the next you name the timeframe, the next year, three years, five years, right, you name the horizon that you're planning on. But those dashboards highlight areas of concern, assets of concern, right. So there's your subjects that you need to plan for. scenario analysis is different. This is where you say you provide parameters like I have a million dollars, or I have, you know, $2 million. And I want to I want to look at how I can apply that million dollars across my criticality.

30:00

123 you name it. Right? So it's what if scenarios, and this is huge in the transit industry, it's also big in public utilities with limited funds. How can I stratify my dollars and replacement strategy? What can I really get accomplished next year, two years, three years with the money that I have. And once again, the equipment ranking comes right back into play here. So our top criticality, our top risk, items should rise to the top and we should spend our money on those first, to make sure that we're covered, I have to tell you, that's dead sexy, if I'm in a data, and if I'm into asset management, and what you're doing, and what you're talking about here on this particular am in for em platform and how you apply this logic, it is man it is cool stuff and powerful. And

30:49

like you were saying, there's there's this, there's this thing that's happening, and it's constantly growing and refining and becoming more powerful and stronger, better, faster, whatever, Steve Austin approach, and it only gets better from here, it's not going to go down. Health, right? Yep, less slow, really solid and growing. And as I said, it's continuing to roll in. Things that used to be a point systems are now in the, in the platform, and it's integrated. And I have to go down the road of being able to say, Oh, my gosh, I remember the good old days when you have to create all this other stuff, but it's, it's anyway, are you active out on LinkedIn, we're gonna have to wrap this up. Are you active out? there? I am, I sure am. So reach out should be able to search me up play Bush, don't forget one more thing there, which got the last block. And this is, you know, this is still brand new. And, you know, it's talked about a lot, but this is, it's no longer on the far horizon. It's here. And that is predictive machine learning algorithms such as enforce Coleman, the biggest challenge people have in that area right now is not having enough history to feed the machine. But we're eminent A lot of people have been running a game for 10 1520 years, and they have good history and the history can be improved and tweaked and, and smoothed out, let's say so that these algorithms can look at your history and make intelligent forecasts. So that ties right in there with the bi bi analytics and the modeling. But again, as soon as you have the history to support the algorithm so that's up and coming thing there's a lot of new technologies out yeah, that's that's all stuff ality but this is the closest one of them. Yeah. I think that's cool, too. I think that's really

32:34

you need that history. And I bet you could not Nevermind. We're running out of time right here. So Clay bushes, the gentleman that's bu sh Stratum. If you if there's a couple of Clay bushes out there on LinkedIn, just calm up but Stratum str at u m, is the company you'll find play reach out to him. Definitely this infor cloud suite em is a powerful platform, definitely in this world of industry for Dotto, play. You are absolutely spectacular. I love this fellow asset geek. God, thank you for having me. Yeah, it's sort of set to a certain extent, but it's pretty cool too. You know, it's amazing, wonderful job, wonderful job, reach out to Clay. Now we're just gonna we're gonna have all of the contact information out on industrial talk comm so do not go away. We're going to wrap it up on the other side. Thank you very much for joining. Stay tuned. You're listening to the industrial talk Podcast Network.

33:36

All right. I hope you enjoyed that interview with Clay Bush, President of Stratham consulting, that's str at us consulting partners is the company telling you a

33:49

fantastic approach to that in for a platform and how to manage those assets as a company as as, as you proceed forward, vitally important, vitally important in this world of COVID-19 whether we like it or not, you got to build a business of resiliency, and it comes through people like play a platform like infor AM. All right. I'm gonna challenge you again. Once again, you want to be bold. You want to be brave, right? And dare greatly. Those are important qualities, especially today in this COVID world. But I'm going to challenge you to find individuals that are both brave and daring greatly and your product or your just your view on life will be definitely changed. Reach out to me. Industrial talk comm I'm more than happy to connect with you. All right. We're gonna be having another great interview right around the corner. So stay tuned. Thank you for joining

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In this week's Industrial Talk Podcast we're talking to the Titans of Data, Bill Schmarzo, Chief Innovation Officer with Hitachi Vantara and Kirk Borne, Data Science Fellow and Executive Advisor at Booz Allen Hamilton about “The Power of Data and Impact to Business and Culture”. Get your answers to the real power behind data analytics along with Bill's and Kirk's unique insight on the “How” on this Industrial Talk interview!

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Factory workers’ efforts during the global COVID-19 pandemic have largely gone on with little public recognition. Until NOW.

Heroes of Manufacturing is an independent movement originated by Hitachi Vantara and The Industrial Talk Podcast to celebrate these unsung heroes of Manufacturing. Over 30 manufacturers, associations, vendors, VCs and others are collaborating to help share the stories of today’s manufacturing heroes who are keeping the world moving.

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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!

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