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Industrial IOT for Operational Excellence

October 22, 2020  |   Webinars

In this webinar, our panelists explain how they have deployed IOT, from the Need Analysis to Dashboard Development, how IOT has enhanced their operations, and/or made their products even more valuable to their customers.


Examples of questions discussed:

How would you define Industrial IOT?
What should operational managers know about IOT?
Why is it important for the industry to embrace IOT?
How did your company build an IOT system from the ground up?
What was the rationale for that?
What can you tell us about the protocols and devices used?
What do you do with the data generated by IOT, from an analytics standpoint?
How does it help create value?
Can you tell us how you have approached IOT in your business?
Is it possible for companies that have legacy equipment to benefit from IOT?
How can they start collecting data, monitoring equipment and creating operational efficiency with older equipment?
You have been exposed to, and perhaps directly involved in, deployment of IOT-related projects. Can you tell us a bit about your approach to IOT deployment, and your thoughts on the topics discussed today?
What opportunities do you see, and what is the path for operational managers to test IOT in their operations?
How do you see the future of IOT in large mature companies?
How can companies take advantage of the operational benefits of IOT without compromising security? The IEEE Institute of Electrical and Electronics Engineers named Blockchain IOT as a great potential solution for IOT security. How should we address IOT security?

    If interested in our past and future webinars, please subscribe to our channel (click "youtube" on the video displayed above these paragraphs then click "subscribe"). We also welcome you as a member of our LinkedIn Group where you will also receive webinar updates and have a chance to network with hundreds of your peers: click here to join.

    Panelists profiles:

    Hector Villavicencio: 20+ years as Project Development Engineer, Production and Facilities Engineering Manager, and Production Process Excellence Manager. Shell, Cargill. Lean Transformation projects, lean culture, production automation and system optimization from low-millions to $4+ billion. Founder of LEAN TPS LTD (Lean Technical and Project Management Solutions). MSc. in Power Generation, Chemical Engineering Degree, Lean Six Sigma Black Belt.

    John Mack: 7 years as an evangelist for Smart Factories at FORCAM Inc., a German software company, and Director of Business Development and Government Affairs. Raised the awareness of how the Industrial IOT has enabled great companies to increase productivity. Encouraged the National Association of Manufacturers to embrace digital transformation as a driver of “Make American Manufacturing Great Again”. Degree in International Affairs. Speaker in numerous industry conferences.

    Mitch Hesley: 20 years of experience in engineering and management positions ranging from Computational Fluid Design to Control Systems Engineering, to Finance and Strategic Business Development. NASA, Boeing, Altec. MIT. Harvard MBA.

    Norman Lee: Product Manager for a startup within a global logistics company. Worked on a SaaS IoT solution that provided end to end supply chain visibility. Wide range of experiences across functional roles and multiple industries such as supply chain logistics, investment management, cyber security, and oil and gas. Computer Science, Economics. Haas School of Business at U.C. Berkeley MBA.

    Ruby Pittman: Con Edison, 7th largest utility in the US. Energy Efficiency programs and technology solutions that bring down peak demand and reduce greenhouse gas emissions. NYU Tandon School of Engineering, Management of Technology.

    TRANSCRIPT

    Disclaimer: This transcript was generated automatically by a software with 86% accuracy. Please forgive errors in the remaining 14%. Please listen to the video recording for exact accuracy. This automated transcript is provided "as-is".

    Welcome, everyone. Welcome back to our webinar. Today's topic is Iot for operational excellence. We're going to share stories of successful integration, plus some perspectives from people who are yours of yours. Our speakers, we have a busy panel today, even though we have, unfortunately, a couple of speakers who couldn't join due to last minute constraints. But we have five speakers whom I'm going to present right now. Just a quick note to thank SESA SYSTEMS and KALIMA Systems and THE TRIANA GROUP to be partners on this webinar.

    Hopefully you are hearing me well enough if you have any questions or issues. Feel free to enter a Q&A. You should see on the bottom of your screen or the right side of your screen a Q&A icon.

    Hector comes with 20 years of professional development of project development, engineering experience. He's been a production and facilities engineering manager in large companies, including Shell, Cargill. He's lead Lean transformation projects. He's the founder of Lean Technical and Project Management Solutions. He's an engineer Lean Six Sigma Black Belt. John is a very active evangelist in these smart factories space. He's led the business development of a German Industry 4.0 [00:02:00] software company. You could say he's actually helped raise the awareness of the American manufacturing sector regarding Iot, especially in general the digital transformation. He's been a speaker in numerous industry conferences. Mitch brings 20 years of experience in engineering and management positions. He's been an engineer. I mean, I think it's the first time I have, I guess I could say, a rocket scientist. He's worked at NASA, Boeing, and he's now Altec. Norm is a project manager. He's working on a very interesting startup that is a startup within a global logistics company where he was involved in the deployment of an IOT solution worldwide, a half a billion pallets, I think that they were tracking. So very interesting. He also shares a common experience in multiple functional areas. He also has a background both in computer science, technical and business. Ruby is with Con Edison, which is the seventh largest utility in the United States, she's currently working in the area of energy efficiency programs and looking at technology solutions that help to enhance operations. She's a graduate from the NYU School of Engineering.

    Without further ado, I'm going to start with the first question to you, John. So you've been involved in really, like I said, for seven years, making the National [00:04:00] Association of Manufacturers much more involved in Iot and digital transformation. Could you tell us about how do you define industrial Iot and especially how should our audience, who are mostly plant managers and industrial engineers involved in operations, industrial operations, what should they know about Iot and why is it important?

    First of all, I'd like to say how honored I am to be with such a distinguished group of panelists. I'm humbled by your qualifications and your education. Thank you for including me. Thank you, Jabril.

    What I actually I've been at this longer than seven years, but I have lived through in the past 10 years, a complete revolution in the focus of attention with the with to to manufacturers.

    When I started we were very focused on OEE MES functionality.

    That was the big that was really the focus of everybody's attention. What we've seen over the past 10 years is another revolution which moves doesn't it doesn't preclude MERS for what it does. What's happened now with the industry is the week we've come up with what we call a suite of industrial Internet of Things platforms so that it's not just MERS, it's not just OEE, because the manufacturers, from what we can see, we're demanding more functionality.

    So what we've come up with, we've stripped down most of the technology and rebuild it again in order to include a platform which not only gets the job of its MVC wirelessly and immediately, but also then enables us to communicate with any ERP system and then adds to it different types of functionality according to what is needed by the client. [00:06:00] It could be predictive analytics, it could be dynamic scheduling, it could be a quality, it could be track and trace. So we've got we're going through another revolution. And so I'm I'm in the middle of it right now. So I just thought I would bring that to your attention. For those of you who heard this sermon 10 years ago, it was very focused on Owyhee. But one guy KPIs is not another guy's KPIs, which we've discovered. And if you're a solution based organization, you're going to listen attentively to what your clients need. And that's what we've done in the industry, is trying to respond.

    Excellent. Interesting to see the this transition from OEE to a broader scope. Basically, right.

    That's what we've seen and it will continue to evolve as we get into, aiyah, deep learning with the machine that that again will produce another set of KPIs that people will want to latch on to. But again, I want to repeat that it's very important for people in the software industry, I believe, to listen to what their clients need and to then come up with a solution. That's really what it is. It's not about it's not about selling the software that somebody is invested in. It's. But can we help you? Can we help you solve a problem?

    Right. Yeah. And it's like you mentioned the the Iot as well that hopefully we'll have a chance to talk about that again, because it's coming up as well. So. Well, I was going to ask a question about the cyber security part. If you just we'll talk about it probably a bit later again. But could you touch briefly on that? Do you see any concern perhaps at the [00:08:00] association level or from manufacturers regarding the cyber security aspect of Iot?

    The answer to your question is, particularly when it relates to the defense industry, any software company that's worth its salt has got its accreditation going in there. You couldn't possibly do business with Lockheed or Bombardier or any of the aerospace companies. So, again, it is not it is not the purview of most software companies to provide the solution for cybersecurity problems. What is what is required is that the software is compatible with the regulations or with the provider purveyor of the of the cyber security software. That's, I think, where we are right now. In other words, we don't want to tell our clients what they need to do from a regular from a regulation standpoint that they must tell us.

    Got it. OK, thank you. So we'll get back to you a bit later. I have a next question for Norm. So the question is you so you've worked in a startup within a larger global company. They own, I think, hundreds of millions of pallets. You help to digitize the, I guess, the management of those assets by specific type of assets, but they are assets worldwide. So whether our kids are really interested in the supply chain part or not, I don't think really that's the that should be a concern because it's simply a great blueprint of how does a company approach Iot and integrated in a massive manner to create value. So can you tell us about how did you approach Iot? How did you build it from the ground up? Of course, anything you can [00:10:00] share what the that all of us from that any any technical considerations related to building such a system. And then finally, I guess mostly that's where you were involved, as well as all that data that suddenly you're able to produce.

    How do you how do you create value from its.

    Sure, I hope everyone can hear me. Thank you for having me.

    And yet to answer, I guess there's a number of questions you ask but to answer, I think the first question was perhaps how how did we go about building the system? So first, I'll say that just to reiterate to people, I was a product manager and I had an opportunity to work on an IOT solution for supply chains in particular from the ground up. So with any type of system that you're going to launch, it's just a significant undertaking for think of a traditional company that does logistics, for example, is a significant undertaking for them to go go from their core business into a building and maintaining and using connected devices, Iot devices. So for us, we are actually a startup within a larger company, a parent organization. So that allowed us to have, I guess I'll say, maybe more of a better focus because we were able to carve that out and build that portion of it with the knowing and the knowledge that we had the backing of a larger company. So first, I'll say also that there's always the builder by question. One needs to consider so many different factors when you're talking about internal external factors to whether you actually want to do something like this. In our case, it was, again, a state solution. So you really need to look at what are your goals to doing this? What are your core competencies as a company, [00:12:00] what type of time budget, overall market environment that you're in, not to name a few things.

    So we essentially chose to build our own integrated system from the physical devices, including firmware use. And then we had an edge embedded hardware team. We also built the infrastructure and platform all the way to the web mobile apps. And to clarify, we didn't actually build the cloud platform. We we enlisted the help of cloud service providers to fill in the gaps. But we did build certain systems to help launch basically our Iot system. So we use various and allosaurus and terminology here. I'm not really sure for an audience how much you're aware. So forgive me if I'm telling you something you already know. And if you haven't heard this, I kind of slow enough where you can pick up on certain things. So we we took advantage of various infrastructure to service things to help build our servers and storage networking. But we also worked on a path system, a platform as a service system to build our little where else. And ultimately our product was a sad product. So which is basically the software to service you, it's on demand. You log in and you can log in through the Web app or mobile app to access our product. So that's just kind of just to answer.

    How we built the system from the ground up is that I don't want to go down too much of Arapahos that that the second dot saluki and we're not sure about it again.

    But we also have other webinars focused even more on the technical aspects. So this is great as an intro. And for those who would like and of course yourself as well, we will have hopefully [00:14:00] a chance to talk more about these very concrete steps. The so so that's that's two generation of I guess I don't know how many how much data, but probably a lot of data. And you're able to now analyze data. So how does that create value?

    What kind of.

    So, yes, right. So with any outside system, you can be inundated with more data than you ever imagined that you thought you might would have or would need. So I think that's when you go back to the rationale of going back to goals of why you're doing it. You really need to figure out not only to build a viable scenario, but, you know, what is the right you know, the right solution that you're looking for. And part of that is when you're talking about what it is that you're trying to do, some people would just buy devices off the shelf and kind of put it next to their platform because they only want to be participants in one very particular aspect. In our case, again, we built everything from the ground up. So we're going to answer your question about what it is that we're looking for. First, I'll say, when you think about the data, you need to have some very key questions. You should ask yourself, what are the goals, what kind of data you're looking for? How do you plan to leverage that information and ultimately how you're able to sustain a suitable return? Because in our case, we were a startup with a large company and we had to show a return on investment and return on equity for what we were spending for track and trace.

    We really wanted to look at the insights on the trips that the assets took. So think about metrics in terms of duration, frequency, location, those sort of things. But maybe what might be more useful and I think the [00:16:00] previous panelists, John, I think you spoke to this would be to perhaps just kind of real briefly explain the type of analytics that we are after, even for a track and trace supply chain solution. So basically, three things that we are literally looking at and really after their descriptive analytics, predictive analytics and prescriptive analytics. So descriptive analytics are basically when we were looking at it was basically the most basic form of insights. You're looking at all the information. These devices are feeding all this information and you're able to basically do simple calculations like Lean, standard deviation, those type of things. It helps you kind of assess a little bit of what happened, maybe why it happened in some cases. But think of an example as, for example, the average time it took your assets to go through a cycle in the field. So that descriptive and when you think about predictive, you're really trying to kind of model maybe future data and behaviors by analyzing some of that data that you're looking at originally and the descriptive field.

    So in this case, it might be a statistical or some sort of model that you're applying to see when how much cycle time your assets in the field. Let's say it goes up by 20 percent, and then you're trying to figure out what kind of predictive maintenance you might need people on the call who are managing plants or any type of industrial factories. You guys already probably know that in the third item really is prescriptive analytics goes a little step further and helping to provide analysis to maybe optimize and provide a recommendation to the take the same example you add in order to maximize your asset life after went on the field and you want to minimize repair intervals. You want to look at how many times perhaps it can go through a cycle [00:18:00] before, you know, you really need to get some preventive maintenance schedules. So that's a way to optimize your your assets overall. And again, this is strictly from a track and trace and supply chain perspective. But, you know, trying to explain in a way that is applicable in terms of the type of that can be used for any type Iot system.

    Absolutely. And I like this descriptive, predictive and prescriptive sequence. And the sounds like it's and knowing ahead of time what what what information you need and why you need it and how you're going to benefit from it.

    And and having that roadmap, that sense of what you're going to be able to do in the future, projecting yourself, not just gathering data or simple analytics, but the prescription as well as very interesting touches on the area. And again, we we will hopefully come back to this question later. Thank you so much, Norman. So the next question is for Mitch. And so, Mitch, your you've I think all of us have seen your equipments or your equipment that your company manufactures. It's it's across all the streets of the United States, I think. And probably what is known, that these are trucks with telescopic cranes, I think, that are used by telecom companies, utility companies and probably many more. So what? If you could tell us how you have approached Iot, and I think it's interesting because, again, whether our audience are manufacturing tripa with our users of products or not, it's more how can you integrate Iot into a equipment and then create value and help your users as well generate new value.

    So you talk about that?

    Sure, absolutely. Well, first of all, thank you so much again for the honor of being on the panel. And I'll echo what John said. It's it's great to be among [00:20:00] this panel and comment in one of our customers and John Lean from a group that were a member of. So it's a great honor to be here. So when Altec was thinking about this as as John said, and I absolutely believe him, that he's been in it for decades, you know, even I'll say 15, 20 years ago, Altec was thinking about connectivity and the term in the space. Telematics is a common term. And there were some initiatives back then. But to John's point about, you know, seven years ago is when things really started to be revolutionary. And given the advancements in processing and telecommunications, everything else, that's when everything really started going. And so Altec has been at it for a while, but more recently really getting involved into it. And I'll say there's when it comes to Iot, there's almost two parts of how Altec is involved. The industrial Iot, which is our factories, the products that we're making, our factories themselves being connected, and then our our products and what our customers are looking for. And we've seen some good gains in our factories from just connecting up our equipment and our machines in the factory to see what kind of utilization they are they have and things like that. We've put quite a bit of effort into connecting our products. So and I'll just give you I guess what I'll say is a little bit had been our journey and some of the tips we've learned along the way and are still learning as we go.

    You know, it's really, as I'm sure many of you have experienced, it's very easy to think about what is possible and the potential for all these things, what I call the art of the possible workshops. The challenge and maybe the interesting part of it is trying to take that and actually execute on it and achieve and realize some of that value. So, you know, some of the tips that we've been working through are one type tagline that I like saying is think [00:22:00] big, start small, learn fast. So plan with the long term possibilities of where you want to go. Start with small pilots and iterate quickly. So as you do those pilots, you may learn this didn't work or this isn't going to scale well. And right there, similarily John Norm really hit it on the head when he thought about, well, what is the value, what are the use cases you're trying to hit there? So we similarly thought a lot about use cases. And as Norm said, there's a lot of data that can be generated from Iot. But how do you make sense of that data? And most importantly, we knew that both Altech and our customers wanted actionable insight and very often they want action. What can you do to make our customers lives easier? So sometimes we are the consumers of our data that can also be directed towards the customer. And we learned a lot that we can use cases in the three categories safety, productivity, equipment, health. Within those categories, there's a lot of overlap with what normal sharing about predictive diagnostics and the Holy Grail of fixing something before it actually breaks.

    And we learned a lot from Caterpillar and especially John Deere. We had some connections there. We connect and talk with them to understand their journey. There's a lot of links in the chain when it comes to as soon as we have. It was one thing to connect our factories. We were connecting our products. There's a lot of data privacy and a lot of legal elements to navigate. And given that's an ever evolving landscape, given European laws and recent California laws, so really making sure that we're playing well there and making sure that we're evolving our customers, it's been crucial most of the time. Our customers are absolutely interested in innovating with us. And I can one thing Norman said. Similarly, we had a side where we partner versus where we build from scratch and we have our strengths and we [00:24:00] would partner with tech companies, Amazon and others where it makes sense. But it in many times we were came to the same conclusion that we built because there were certain things that we needed that just weren't available off the shelf. And so we built a lot of our systems from scratch and our learning process in general. I'll just echo that as I've been getting into the weeds of this. It's it's something that says easy and does. That it's easy to talk about the potential it's challenging and interesting to try to achieve that potential, and as I've been working with companies, it's it's been good to compare notes and see where we're succeeding and where where we all are learning to to grow their.

    Speaking to myself as often as I need. Thank you. Thank you much. I like the sequence. I think big start small and learn fast and also the partnership that you developed both with the vendor. The technology provides the those who can provide certain breaks of the technology, but still not necessarily as a complete turnkey solution off the shelf solution, but also adding your own your own glue at the very least, if not if not development, and and also the partnership with your own customers to make sure that the way that you're integrating Iot also will add value to the customers. And that's a central topic in your operational excellence in the Lean Lean manufacturing Kaizen security as well. So great points there. So the can you just maybe just so we can have a sense of how [00:26:00] those Iot add value to to like trucks, I guess that's all the fodder for from the user perspective. Again, whether someone is using our trucks or not is going to have a sense of how they should see equipment that comes with Iot or adding Iot features in equipment versus not having sure.

    Great. There's so Altec, we make a particular logical hybrid product that many of our utility customers are finding valuable. And along with that product, we've now released a whole connected package package, a digital product, a dashboard that goes with that product. And so we find customers who are using that product can then gather the information of when was this product operating off a battery instead of idling and creating carbon dioxide and nitrous oxide emissions. Once they have that data, they can show internally how they've saved money on fuel costs. But they also can go to the government and say, well, we were operating this hybrid product in this environmentally disadvantaged areas. And they know that because of both the operation of the battery that did come back, but also the the perimeter, the geo fence around this particular area. For example, Long Beach, California, we're operating there. And so we now qualify for these tax credits. So that's been a popular thing for our customers and given. The Edison Electric Institute trends, that's becoming more and more popular from our customers to buy that product both for its ability to reduce emissions and be productive, be efficient, but also now the fact that you can measure that and show internally the value that created the.

    Great. [00:28:00] Yeah, so definitely totally innovative, minor, like just out of the blue creating value, but that's not even directly connected to the operations, but creates value for the organization and for the environment. Great. Thank you, bitch editor. So you bring actually, I have I'm going to come back to you, John, in a second, but so I took a break. 20 years of project development, engineering. You've managed facilities across multiple countries for transformation projects, automation. So what's your perspective on on Iot more directly from from the user and myself sitting in in a factory and and you've implemented automation system optimization and so on. What's your take on all this?

    You know, thank you, thank you for the opportunity of getting the economy on the on the messages from our previous panelists. Thank you for the opportunity of talking to you today, guys. So in terms of your question there, my experience working on a on a deployment of enterprise architecture initiative, you know, that the intent of that that big enterprise architecture initiative was to consolidate all of our corporate big data. So basically, you know, making sure that we had a way to standardize and store all of our data coming from all the operations that imagine the amount of data that we were actually capturing and the amount of effort to actually and influence all the processes and the people to be able to actually buy into the new ideas on how we could actually improve the business. So now [00:30:00] at that point, I hope the data coming from Iot was actually relatively small. And these I'm talking about three, four years ago that the portion of the data coming from other thing was relatively small. However, though, our data expert at that time were fully aware and predicting that the Iot data was going to actually grow significant significantly as a function of and the development of the technology. So so now in terms of a few points, think you'll be learning for us, was making sure that the technology is not driving the whole initiative, that we don't fall in love with technology, but we actually leverage technology using technology to actually have people develop their capabilities. And when I talk about developing capabilities, as Norman, I mentioned before, you said having a very good understanding of a better understanding of the processes of the physical processes, like, for example, you know, having descriptive analytics allows us to actually go into a predictive analytics and having people actually involved in the process of understanding what technology can do and improving the I would say the organizational capability is the key.

    I said when it comes to implementation of these of these Iot projects, it just collecting data is not just a matter of having a huge amount of data, but how do we use the data that we collect from Iot to actually add value to the customers? How do we actually make sure that people improve their competencies as a result of having all these data? These are strategic questions, guys, that they will allow you to get most value from from Iot and make it sustainable. So if you want to make it sustainable, you want to make sure [00:32:00] that the people are reading more, involve the people they are using, the technology, designing the technology, are working in collaboration with the people, using it on the ground. I like what John mentioned there. John mentioned that listen to the client's needs, basically listening to the client needs that will allow you to actually customize the data analytics, will allow you to actually come up with a very smart solutions rather than coming up with just said, the most beautiful technical solution. So that's one of the learnings there is not about coming up with the most beautiful technical solution is about coming up with the most practical and the solution that meets the needs of the customers.

    So yeah, I, I, I'm showing on the screen right now any kind of a diagram that represents your thought process, the one luxury item that you just described, and it probably would take a whole webinar that might you just give me an idea actually about perhaps a future webinar on how to a certain path from the perspective of someone who's been sitting and managing and optimizing a factory like your old factories, like you have exactly a Jabril.

    And I mean, the key point of this slide, guys, is to make sure that we are are you your building organizational capability? And what I mean by organizational organizational capability is actually offering to the clients or the customers something that your competitors are unable to offer because they haven't developed that capability. And remember that just having that technology doesn't give you a sustainable capability. What's going to give you a sustainable capability, guys, is actually the ability of your people to use the technology, learn from it and add value from that learning. So that's the key point. I want to make [00:34:00] sure that we all take into account when it comes to our Iot or any other technology that we implement.

    Horwitz, excellent. I like the the don't fall in love with technology and, you know, as a as a technology enthusiast, innovation enthusiast, I probably should have heard your advice a long time ago. So it can lead you to to really get married with a specific technology. If I could say and and forget maybe the biggest. The bigger picture is that that happens within a competitive environment as well. And so it's good to take one or several steps back and think about the whole strategy. So great, great points. And we'll we'll talk again. We'll follow up webinars and hopefully we can actually work through the steps further. So, Ruby, so you you are a recent, relatively recent graduate from an engineering school in management of technology specifically. And you've just joined 12 more or less recently as well, the seventh largest utility in the United States. So as I mentioned in energy efficiency, which we just heard, I think from MIT, that there's interesting ways that you can even leverage Iot for that. But what's interesting also is that there is a whole generation change in corporate America and I guess corporate, corporate worldwide, which is the millennials coming into the job market, actually, more of them coming, reaching the point where, you know, the management point, the the up and coming right to careers. That and this is the first generation that you are part of entirely grown into technology. [00:36:00] So I think that combined with these this new wave of technologies that I think like all the other panelist mentioned, even a few years ago, two or three, four or five years ago did not even exist yet or I'm not ready for industrial scale use that to combined are probably going to create dramatic changes. And so what's your perspective on Iot and on this on these points and more gifts? More generally, the not just the generational change, but I guess transformation, digital transformation. And I know you have a Paul, by the way, a question so wild with your permission. Well, you start to.

    Ok, thank you. Thank you. Jabril. It's hard not to say. Professor Bensedrine, I did have Jabril for three classes in my college career, and they just they really opened my mind to innovation management, making sense of how ideas can come to life. And I really got to explore a brilliant side to business. So thank you for including me here today. Again, as a recent graduate, if I were to have answered that poll about where I fit in all of this, it is my colleagues training me. Really, there's a lot of knowledge transfer right now and to a hectors point about knowing what we're using technology for. I want someone who is new to the field, just new to a full time job in general to to have an intrinsic interest in tech and then helping people. My opinion about the generational transition that's going to happen, namely with [00:38:00] millennials really taking taking over numbers wise in the workforce. I just I want to see. More cross generational, just understanding of values, I think I my dad took me to computer graphics conferences growing up and he's a part of Gen X and I saw his generation do the work.

    A lot of the work that now my generation is is benefiting from. And and I think three things.

    Education is very important, focused education in particular, and in lines like data science or I still I value arts education still and and with an increasing number of startups and of people really being their visions being fueled, particularly millennials Johns's, I do see that consolidation of all of these efforts is necessary, and that comes with a loss of ego and a real investment in the field and in the industry that we're in. So along see if this helps level set.

    I wanted to to to see the generational breakdown of everyone here. Let me check the answers so I'm not making any assumptions.

    Let me talk to you again. The results most often the result of 70, 80 percent answers, but I don't think so.

    Pairing this with the statistic that some of us are considering Iot some of us are still figuring out. I just I'd leave you with this. And this is what I'm thinking, being new to a publicly [00:40:00] regulated utility company and every day wondering know we're using these processes, I'm learning these tools. But what is this serving? What is this for? I care about the community. I'm growing up with these values for being socially responsible. Is the work I'm doing doing that. So I leave you with these things. One thought being talk with, say, experts that are around you, especially those in Gen X and and older, to understand how the foundations of particular industries, namely manufacturing. There's foundation there. There's history to appreciate. Secondly, being connected with Mitch's mantra, starting small, especially with how how attractive it could be to to really go for your own startup in your own ideas, starting small by by contributing to a larger picture and from there seeing if there's a problem you can achieve with the subject matter experts on that larger picture. And eventually if something breaks off or if that makes sense, to have a partnership with the bigger company, start a startup.

    And I'm speaking from from again, class experience, from observation, from appreciation and really learning from people like you that I'm honored to be on this panel with. And in the last thing I believe everyone with is just I'm recalling a thought from nature philosopher. I really like thinking about society in those ways. And he mentions that when we lose the struggle, we lose the progress. And that connected with some people doing a lot of work to create automative, technologically capable things, Iot things, [00:42:00] and then those who are using them and potentially mechanizing their actions. So think about ways to bring in the public and their brains and the community and their abilities, regardless of socioeconomic status and and so that we can we can still be working and finding value in in all of this amazing analysis and big data. And yeah, I think I have conversations with younger colleagues, with your analyst, with your associates, with interns when I was an intern. I love just talking, talking, learning, sharing. And you never know what what new perspectives could come about from that. So thank you. Thank you, Jabril. I'm learning so much from this panel already here.

    And always it's important to mention the review was my class. I know you can. Obviously one of the brightest of the brightest. She's on the panel and the. Quotations, many of them I like also the connection between arts education and then linking that directly to innovation and the startup community and this up and coming generation again, who are entrepreneurial in the sense and they may go to startups and create technology that may then benefit larger companies or enter larger companies like you have and but still with that same spirit. And I think that to be pushing for larger companies not to take advantage of that, it's like fresh air and that can help really identify new opportunities, new ideas of how to create value, including with Iot. It's also it's true that the reverse mentoring [00:44:00] also is is very interesting, again, in the context of digitalisation and Iot, it's exactly what you meant. But one of the next immediate next steps for some of our audience could be to go and reach out to members of the millennial generation who are actually even even younger generation, who are just joining and engaging in conversations about Iot and digitalisation. So we saw John last. I want to leave some time for Q&A so everyone, you can go ahead and start writing your questions. I know we have some already. Now, just a question regarding all these companies that maybe I'm the listener is here and are dealing with older equipment. I know, for example, one of our consulting partners is currently taking care of trying to renovate a factory that I think is more than 50 years or more, I think, from the 1950s. And so how do you how do you handle Iot and digitalisation in a factory that has this legacy equipment, like you say, and you have to change all the equipment? Or how do we embrace Iot that situation?

    Well, I get this a lot.

    More than not, when you meet with a manufacturer that has a good reputation, has been in business for a number of years, they're going to have legacy equipment and everybody understands that the burden of capex, what's that means what that entails.

    It feeds it feeds on itself. So I often talk to the people about this. And don't worry about the legacy machines. The industry is smart enough to make something available to help you. And so what we've used over the years [00:46:00] is that I'm not going to reveal the name of the purveyor. There are several people in the market that make it, but it's basically a box, a very inexpensive piece of machinery that goes on the back of a legacy machine. And you can run the Ethernet cables from that machine right out in and get the data that way. So even if you have a legacy machine, it shouldn't be a roadblock to getting real time data to get to to establish the integrity of the data. The vendors in the market have even gone so far through a medium called empty Conex, which is an industry standard for this type of data access. They make it available wirelessly now so you can take a legacy machine and work around it very easily because there is no you know, you're not going to tell somebody. You've got to get rid of all your machines on the shop floor in order to make a digital transformation. That's an unrealistic request.

    So we come up with ways to to facilitate the accessing of data that those older machines.

    Ok, so that also serves as a Segway to probably your future webinar, where we could try to show some of these technologies available to you to help deploy. I don't think we have a picture here. That's right.

    That's a picture. Can you show that? Yeah. So I think I sent that to Jabril.

    That's an example of what we're talking about.

    These are boxes with all the all the all the it has all the capacity to read the data on your machines and yeah, that's what it looks like. And these are very inexpensive add ons to your, your technology under a thousand dollars of. In general, for each box and its dangers [00:48:00] and of course, you can obviously find the one that suits you the best, but it's been a great been a great way to keep people moving forward, so to speak.

    Yeah. Excellent. All right. Very good. Thank you, John. And now we have still some time for Q&A. As promised. We'll try to let everyone know at 4:00 p.m.. We have a first question regarding cyber security. Actually, again, so it's 60 percent of organizations that have implemented Iot have experienced a sort of cyber security incident that there an average of 5000 cyber attacks, I think, per year, per month. But that's still a lot on Iot devices like an average Iot device has a lot of attempts at cyber security breach. So the question is, how can companies take advantage of all these operational excellence or operational efficiency benefits without risking cyber security issues? And and one additional point is that the Trickily Institute of Electrical and Electronics Engineers mentions block chain Iot, for example, as being a solid option to handle Iot. But just a question to the panel, I guess, how important and how how can companies engage with Iot without taking risks or with limiting? And I know that one of the panelists has already and John, you mentioned that you have to uphold certain standards, especially in some sectors like defense. That being said, I believe we heard recently your company likely coming out, I think, going down for one week, Garmin, the GPS manufacturer for three days. I don't know if that was directly related to Iot [00:50:00] cybersecurity, but generally they can be disrupted so and so. I'm sure our listeners, some of them may not be in the defense sector and worried about whether they're going to be using technology that's strong enough.

    So that's kind of fun building on the question here that was related to cybersecurity, any any comments, anyone?

    What came up in your discussions, how you've addressed?

    I'll take I'll take one I'll take one point here not to interrupt the others, but just when when my when I had discussions with manufacturers about.

    So how do you feel about hosting your data in the cloud?

    And some manufacturers talk about automotive, for example, submenu. So we don't get into the air defense world because that we've already talked about.

    Some manufacturers are saying, look, on Prem, on Prem, so we go we go with the on prem solution. But more and more we see the manufacturers have confidence in the integrity of the cloud, whether it's Amazon or as your whatever you're using. And I think it's a question that I always advise my clients to have. But let's have a discussion with the cloud host, you know, and get some you know what what can you what can you show us to make us feel comfortable putting our data in the cloud? And if they come back after that discussion or several discussions, they know we're going to do it on Prem. Fine. It shouldn't be a block to the digital transformation, whether it's in the cloud or not.

    It's a it's becoming an option, a more readily accessible and acceptable option.

    Got it. Thank you.

    So unless another panelist [00:52:00] wants to think about if any of you if you have a comment on this, but in the meantime, I'll tell you one of the next questions. So there wasn't much regarding the Emmys being, I guess if you mentioned that it's dead, but it's perhaps not the only concern right now, because to narrow the scope and so industrialized is getting way more tractions with machine learning, predictive analytics, et cetera. Is that what you meant and done behind the door? I can get into any vendor's catch up by adding predictive analytics functionalities. Any any thoughts on that? So I guess the if any, as vendors are getting a little bit old fashioned, I'm not sure. But again, if that's what you meant. But what what kind of innovation could could they also develop so that they can catch up and integrate this predictive analytics?

    Capabilities. There's no context here.

    Well, I'll take it then, but I'm speaking too much, but one of the one of the things we've discovered in the world today is if you MERS is really that is the root is the root of the whole discussion.

    Was the group today with the industrial Internet of Things platform availability throughout the industry.

    It allows us the option of of having what we call an open API architecture, which means that it's a seamless, seamless transition between MDC and you and your your feed with the ERP system to something that you may not provide yourself.

    So you have an open [00:54:00] API, you can have a quality guy there. For example, you could have tool data maintenance. The technology exists where you can have a seamless transition.

    So it's really fabulous what we've been able to do by bringing in partners to supplement our our activity.

    Great. OK, so I guess that's art.

    Yes, there you mentioned that it is fabulous, right, for to develop these partnerships, that you can add more functionalities and. Great. I don't see any any other questions that I think we can handle offline since we're reaching the end official end of today's webinar for those who wish to join or let's say to actually hear about our follow up webinars, especially a upcoming webinar, we have a couple of weeks in which we're going to demo some Iot platform and actually specifically more secure, reliable Iot platforms such as block chain Iot. So for those who want to hear about that and hopefully more, we encourage you to join our victim group, which you see here. It's easy to find the title is Long, but if you want to maintain groups slash eight six zero five eight four four eight six zero five eight four four, please just click request to join and I'll add you. And for those who wish to receive a certificate, a professional development certificate, we have a survey at the end of this webinar as soon as you log off. I believe you're going to see a survey that will ask if you'd like to receive it. And then if you do, then you can [00:56:00] fill out a brief questionnaire because we want your certificates to have value. So it's not just a certificate of attendance, it's what you answer those questions. It documents that you really have taken some takeaways from the webinar. This is my I faculty had to speak. And and also, again, if you if you'd like if you're interested in knowing more, there is some questions there that you can answer.

    And we'll try to make sure that we bring future webinars to help you with the digital transformation. So, again, everyone, thank you so much. Actor John Mitsch, Norm Rubini for joining us. Thank you also for being part of this. Whether we are those who those who are interested also can and will receive probably a copy of the resources, the full slide deck with some resources, including some brought by our webinar partner, Kevin SESA SYSTEMS, about how much you can provide security. I know those who ask questions about Iot are your luxury yacht and cyber security will be interested in this in this document here. So thank you. Thanks for sharing. This can be my systems and there's more details as well as SESA SYSTEMS or being always supporting this, including increasingly some equipment that goes beyond the hardware, but also software to support digital transformation. And I usually walk you through this, but I'll let you review them once you receive the Smyth's. This webinar is part of the SESA SYSTEMS Academy, which is [00:58:00] both a physical space with more than a small room. It sounds like a lab space where hundreds of executives comment and practice simple but really powerful methods to improve operations. And if you wish to receive a catalog, go free to go to the website or connect with me. And finally, this is also part of the training group effort to bring new technologies to companies like companies like yours. So thank you very much, everyone. Again, thank you to the panelists, to the listeners. And I look forward to seeing you in the Future webinar.