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Episode 93: Industry 4.0 Tools Aug 17, 2022

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Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 27 of the podcast (@AugmentedPod), the topic is: Industry 4.0 Tools and Analytics. Our guest is Carl B. March, Director, Industry 4.0 at Stanley Black & Decker.In this conversation, we talk about what industry 4.0 means, the importance of upskilling the entire manufacturing industry, and the lessons from Stanley Black & Decker's digital transformation journey.After listening to this episode, check out Stanley Black & Decker (@StanleyBlkDeckr): https://www.stanleyblackanddecker.com/ as well as Carl B. March's profile on social media: https://www.linkedin.com/in/carlbmarch/ You may want to also be aware of the 'Israel meets New England' smart manufacturing event on June 9 and its organizers, the Israeli Trade Mission and Amhub New England:The New England Advanced Manufacturing Hub (AMHUB NE): https://mfg.works/amhub/amhub-new-england/The Government of Israel’s Economic Mission to North America: https://embassies.gov.il/washington/AboutTheEmbassy/Pages/Economic-Mission.aspx#:ISRAEL meets NEW ENGLAND: Advanced Manufacturing in Factories and Workplace: https://mfg.works/israel-meets-new-england/Trond's takeaway: Industry 4.0 requires a mindset shift, not just technology adoption. It's not just about you--whether you in this case is a big company or a top leader--rather, it is about bringing people, partners, SMEs, and the entire ecosystem along. To do so openness to learn, having a strategic roadmap so not chase all shiny objects, and investing in lighthouse factories that can illuminate the possibilities are each important ingredients.Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 20, The Digitalization of Körber, episode 14, Bottom up and Deep Digitization of Operations, and episode 9, The Fourth Industrial Revolution post-COVID-19. Augmented--upskilling the workforce for industry 4.0 frontline operations. Transcript: TROND: Augmented reveals the stories behind a new era of industrial operations, where technology will restore the agility of frontline workers. In Episode 27 of the podcast, the topic is Industry 4.0 Tools and Analytics. Our guest is Carl B. March, Director Industry 4.0 at Stanley Black & Decker. In this conversation, we talk about what industry 4.0 means, the importance of upskilling the entire manufacturing industry, and the lessons from Stanley Black & Decker's digital transformation journey. Augmented is a podcast for leaders hosted by futurist Trond Arne Undheim, presented by Tulip.co, the frontline operations platform, and associated with MFG.works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time, every Wednesday. Augmented — the industry 4.0 podcast. Carl, how are you today? CARL: I'm doing great, Trond. Good to see you. TROND: Yeah, this is fantastic. We've spent a lot of time together, Carl. We've gotten to know each other. This industry 4.0 is bringing us together. CARL: Quite a bit. And there's so much going on in this space, especially here in New England. So it's an exciting time. TROND: Yeah, for sure. Carl, I wanted to talk a little bit about you and your background. You're an engineer. And now you're deeply steeped in industry 4.0. Maybe I'll just ask that question, why did you become an engineer? And how did you end up where you are right now? Was it an obvious path for you? Or did you always want to go into manufacturing? CARL: I guess from the beginning, I was always a tinkerer, so just growing up and hanging around mechanical equipment, my desire was always to break and fix. [laughs] So eventually, I got wind of a teacher who, in fact, was my music teacher. And he asked me what did I want to do? I said I wanted to break and fix equipment and all of these things. And he said, "Well, you want to be a mechanical engineer." [laughs] So I kept that with me from maybe nine years old, and that's the path I went. Eventually, I did my first degree in mechanical engineering. And then eventually, I did an automotive systems engineering graduate degree. TROND: Wow. And so then, in the beginning, you were headed for the automotive industry. CARL: Yeah, yeah. It was always a desire around cars. So my father had all the cars that needed to be fixed. And where I'm from, we're in the Caribbean. I'm from Jamaica originally. It was one of those luxuries that you had where you just dispose of your vehicles once they start giving some problems. So we fixed the cars. [laughs] That's what we had to do. TROND: [laughs] So you ended up with a bunch of cars then, not just fixing them, but you ended up with a bunch that are not used. CARL: [laughs] Exactly. And taking parts from one and putting on the other. [laughs] TROND: That's funny. That's funny. Well, so you did that for a while. And you were in automotive, which is an exciting field in and of itself. And then you went into consulting for a bit as well. So you've done a little bit of that. CARL: And so the interesting thing is once I did my first degree, which was mechanical engineering, I had the opportunity to start working in the manufacturing environment. And I actually started off in mining and refining. So I was in alumina refining for a while, and then I went back and did the automotive degree. And then, coming out of that, it was the wonderful time in Detroit where everything was a bit uncertain. So though I started off in automotive there, after that degree, I went back to my roots of reliability engineering, which is more along the lines of operational excellence in the manufacturing environment. TROND: You know, it's kind of fascinating today because automotive has gone full circle. CARL: Yes, it really has. TROND: It's like, nobody...who would have guessed [laughs] that automotive was going to go from glory days to, like, it's all over to a renaissance of mobility? CARL: I've gotten the opportunity to observe that, especially as a consultant, as I eventually went into consulting. More than half of my 20-plus years in manufacturing has been in the consulting space. So, while consulting, that's where I really started to see many sectors, from the very advanced sectors in aerospace and automotive down to what we call base materials, which is going back to the dirt, the mining and refining pieces. And just seeing the range of technology adoption across all fields as it relates to operational excellence was an eye opener for me. And when I think about this topic of industry 4.0 which really it's not an old topic. It really came about in 2011 or so, which was the mid of my consulting career. And that's when I made a pivot in my consulting, where I started to focus a lot more on the technology enablement within these respective spaces. TROND: Well, let's dig deeper into it. Because you're indeed, you know, you're with Stanley Black & Decker. You run a lot of their industry 4.0 activities, especially on the analytics and the value stream side. But let's get into the topic more because, as you said, 2011 is not a long time ago. And I hear industry 4.0, by the way, seems to be more of a European term than an American term. Here it’s like smart manufacturing because manufacturing is the main thing. But at Stanley, you guys somehow chose the international term industry 4.0. Why don't you, for the benefit of all of us, just tell us how you define it? What is -- CARL: So industry 4.0 is this terminology referring to the fourth industrial revolution. So it stems back to the first industrial revolution having to do with mass production and steam being used as a driver. Then eventually, it went into the second, where we started to get some computers in the space and started to be able to take advantage of some of those things. The third having to do more with automation. So we started to put a lot more robots and robotics within the manufacturing space. And interestingly, then we started to do a little bit more sensorization. But in the 2011 or 2010 period of time, that's when we started to make a lot of advances in big data, cyber-physical systems. So that's where those applications started to come into the manufacturing environment, AI, artificial intelligence, anything related to analytics in the manufacturing environment. That's where we're starting to consider the industry 4.0. And one other thing, there are probably three main elements that differentiate the fourth industrial revolution from its predecessors; one is vertical integration. Vertical integration is what we call from the top floor to the shop floor. You're able to pass data back and forth and get information on what's happening at any given time, at whatever level it is in your production process. The second is horizontal integration. And that's where you start to look across your value chain. So you're looking at data coming from your supplier, and data coming from your customer, and data within your own manufacturing environment. And then the third one is integrated product lifecycle. So this is one of the most interesting pieces of industry 4.0 in that you're actually getting feedback, even though the customer doesn't even know you're getting that feedback. And you're getting feedback into your product lifecycle and your product design. And you're designing it to manufacture well, and you're designing it to basically fulfill the purpose of the end consumer, so all of that feedback loop that's taking place there. And what enables it is a part of what we refer to as industry 4.0. TROND: That's super interesting. And can you comment a little bit on how that translates then into Stanley Black & Decker's digital transformation journey? Because, arguably, and I meant to have it here, I have, you know, I have a bunch of tools in my arsenal. [laughs] I might actually run and go get that. But they weren't always digital; mine happens to be battery operated. And hopefully, I can run and get it in a second; I really wanted it in this tape. But it has been a journey for you as well, and I guess it's a continuing journey because sensors and all that stuff take quite a bit to transform an entire kind of suite of products into a set of connected arguably industry 4.0 tools. So I'm curious, where would you say you guys are in that transformation process? And how ready is the world for a fully sensorized reality where everything is connected? I guess the maximal vision of industry 4.0, which is this idea of industrial Internet of Things where everything is starting to connect and yield analytics. Because you took the...these are also difficult things to do, right? The vertical integration, all of these things are difficult. But this full vision, we are a step away from that so far, this full sensorization. CARL: Yeah, it has not all become a reality as yet. And as you can imagine, the maturity is going to be different depending on the sector, the industry that you're dealing with. But if I was to look back for a second on the journey that we've had at Stanley Black & Decker, I joined the company maybe about three years ago when we made a very interesting pivot in the way that we were approaching industry 4.0. I'll speak on that in a second. But prior to that point in time, Stanley Black & Decker has always been an innovator in this space. We do make tools, and we're the number one tools company in the world. But we also serve a lot of our other businesses, automotive and aerospace, in particular, in providing fasteners, et cetera. And as a result of this diversity, it made sense for a company like ours with 100-plus sites to be able to start working in smart manufacturing. And the process was that there were a couple of chosen sites that were given a bit more license to integrate industry 4.0 elements within their four walls, and they were referred to as lighthouse factories. So it was very decentralized, not very organized from the standpoint of having certain standards that would scale well. And this is where we started to see a lot of productivity gains, efficiencies within those sites. Then in 2017, we did a study internally and determined that let's go after this in the right way, which is to organize ourselves to have a program. And as a result of organizing this program, that's where I came in as one of the first few hires within the program to centralize what we're doing. And then, I ended up leading our analytics value stream. We also had value streams related to connected factory, automation, et cetera. And that's where we started to go after it in the right way. And I think as a result of that, the gains that we've had and the learnings that we've had over the past three years have been tremendous. And if you compare this to the typical approach, especially that I've seen in my consulting years, is that there's a term that was coined by either McKinsey or the World Economic Forum, I can't remember now, called the pilot's purgatory. A lot of companies I observed they'll start something. They'll start one use case here, another use case there, nothing linked. And they'll do some form of pilot, but it never scales. It would fizzle out in some way. Somebody would move on from one role to the next. The interest isn't there. So, as a result of that, they will continuously stay in the same place, and there will be no roadmap for movement. TROND: And how do you avoid that destiny of the pilot purgatory? There are many theories on how to do that. And I would say probably every manager of some seniority would say, "Yeah, yeah, I know about that issue, and we don't have that issue here." [laughter] CARL: But if we're honest with ourselves, it's very easy to fall into pilot purgatory because, first of all, it is very easy to move after the first shiny object or the next shiny object that catches our eye. That's just the way human nature is. One of the things that we've learned is the value of having a strategic roadmap and especially related to industry 4.0. So one of the things that I'm currently working on with our small to medium size enterprises, small to medium-sized manufacturers is we're trying to enable them with two things, one is to assess yourselves. And we are currently using a framework from Singapore called SIRI, which is Smart Industry Readiness Index. We're making that available to our small to medium-sized enterprises for us to work with them on assessing where are you with respect to these 16 dimensions of industry 4.0? And you don't need to be at the very top band for any one of these, really. You need to look at where you are with respect to peers, with respect to the best practices, and with respect to where you need to be to meet your business objectives. So once we do the assessment, we are able to filter that out in terms of what should be prioritized on the strategic roadmap. The second thing that we're offering is given what we've done so far; we have a wealth of experience in this space as well as what we've gathered in terms of partners who have been giving us use cases that can apply to these 16 dimensions. We're then able to work with the manufacturer to specify this is what your roadmap should look over the next three to five years i…

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Episode 92: Emerging Interfaces for Human Augmentation Aug 10, 2022

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Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 24 of the podcast (@AugmentedPod), the topic is: Emerging Interfaces for Human Augmentation. Our guest is Pattie Maes, Professor at the MIT Media Lab.In this conversation, we talk about augmenting people instead of using or making smart machines, AI summers and AI winters, parallels between AI and expert systems and why we didn't learn our lessons, enabling people to perform better through fluid, interactive, immersive and wearable systems that are easy to use, how lab thinks about developing new form factors, and much more.After listening to this episode, check out MIT Media Lab as well as Pattie Maes's social profile:MIT Media Lab: @medialab (twitter) https://www.media.mit.edu/ (web)Pattie Maes: https://www.media.mit.edu/overview Trond's takeaway: Augmenting people is far more complex than developing a technology or even experimenting with form factors. Instead, there's a whole process to exploring what humans are all about, discovering opportunities for augmentation and tweaking it in dialogue with users. The Media Lab's approach is work intensive, but when new products make it out of there, they tend to extend a human function as opposed to becoming just a new gadget.Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 19, Machine Learning in Manufacturing, episode 7, Work of the Future, or episode 13, Get Manufacturing Superpowers. Augmented--industrial conversations. Transcript: TROND: Augmented reveals the stories behind a new era of industrial operations where technology will restore the agility of frontline workers. In Episode 24 of the podcast, the topic is Emerging Interfaces for Human Augmentation. Our guest is Pattie Maes, Professor at the MIT Media Lab. In this conversation, we talk about augmenting people instead of using or making smart machines. We discuss AI summers and AI winters, the parallels between AI and expert systems and why we didn't learn our lessons, enabling people to perform better through fluid, interactive, immersive, and wearable systems that are easy to use, and how the lab thinks about developing new form factors, and much more. Augmented is a podcast for industry leaders and operators hosted by futurist Trond Arne Undheim, presented by Tulip.co, the frontline operations platform, and associated with MFG.works, the industrial upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time, every Wednesday. Augmented — the industry 4.0 podcast. Pattie, how are you today? PATTIE: Hi. I'm doing great. Thank you. Thanks for having me. TROND: Oh, sure. I'm very excited to have you. And in fact, I just feel like the audience should get to know you. I know a lot of them do because you have become an innovator that has a stage on TED. And obviously, a lot of people at MIT know you. But I wanted to just recognize that you were one of the early PhDs in AI, right? 1987 is not a time when -- PATTIE: Yeah. [laughs] TROND: Is that what we call the second wave of AI? It's certainly not the -- [laughs] PATTIE: The grandmother of AI, yeah. [laughs] TROND: You're not a recent convert to this topic. That's for sure. PATTIE: So yes, I actually studied artificial intelligence long before it was such a big deal or the big deal that it is right now. But actually, soon after doing my Ph.D. in AI, I became more and more interested in a related problem, the problem of not artificial intelligence but intelligence augmentation, or how can we make people more intelligent, more productive, support them in making better decisions? So soon after my Ph.D., I veered more in that direction. TROND: Well, and that's what we will talk about because you have indeed been on the MIT faculty for 30 years exploring these topics in various kinds of bifurcations. And you have been the advisor to scores of startup founders also. And, of course, people might think that goes through the territory at MIT, but the numbers are really still staggering, and also the performance of some of those startups, including Tulip, which we'll talk about, but also many other startups and many other innovation projects that didn't quite make it to startups. But they still created a lot of attention around the world for the promising demos or the things they suggested about what the future of technology might look like. So I would like first to just recognize that you've achieved, I guess, the amazing feat of not just innovating a lot yourself, but you must be an amazing innovation mentor. And you certainly have inspired a lot of people that I personally know in AI, and in human augmentation, and beyond. And I wanted, first of all, just to see if I could have you reflect a little bit on your journey, which I imagine...well, first of all, it's a nice wordplay from Belgium to Boston. PATTIE: Yeah, so I came here after my Ph.D. actually, and of course, wanted to be in the place in the world where the most exciting research was going on in my area. [laughs] And so initially, I ended up at the AI Lab, but I soon after actually accepted a job at the Media Lab. And what really attracted me there was that the lab is very application-driven. We're very interested in really working towards things that can be deployed in the real world, that can make a difference in the real world, that can be through for-profit startups. But sometimes that is actually in other ways by just freely giving away tools and technologies or maybe starting a not-for-profit to really disseminate something and make something accessible to larger groups of people. So I've always been very attracted to the practical aspect and trying to make a difference really with the work that we do. And as a result, several companies have been created out of my research group. TROND: Was this something you set out to do? When you were in Belgium, getting your degree at the Vrije Universiteit in Brussels, were you thinking I am going to go to America and become an innovator? Was that in your mind? PATTIE: No, I think a lot of that sort of happened accidentally, actually. And one reason I think why I'm interested in practical applications and real-world deployment is that I was never really interested in the technology for the sake of the technology. I'm not one of these people who gets really excited about purely just the technology, the algorithms, and so on. I want to make my life easier and other people's lives easier. And that has always been what motivates me and my work. TROND: And that gets us to intelligence augmentation. Because I guess in some sense, the Media Lab is all about that topic to some extent. And I wanted to also address the fact that not only are you doing the work in your lab, but I think at least for the last few years, you've had the academic responsibility across the lab, and you have shepherded the lab, arguably, through one of its more difficult times. So surely, you have also experienced innovation and the tricky things that show up with innovation across a plethora of fields. But generally, people at the Media Lab are hired, I guess because they think about application. What is it that is so different when you...so let's just start with that. When you start with a human in mind from the get-go, what is the difference that makes? PATTIE: So I think; indeed, our philosophy is always to be, like I said, application-driven. And what that means is that we take a closer look at the ultimate target users and their place or where they live or work, and how the technology could make a difference there and could change things there. So rather than starting from the technology and trying to maybe optimize some algorithm that does X, we actually work closely with target users. We really study their lives today to understand what the pain points are, what the opportunities are for technologies to make a difference and support them in being more effective, more productive. TROND: But you have experienced both sort of AI summers and winters. Is one of the reasons that AI [laughs] tends to get into trouble that it always is very myopic about the technology focus, or is it a more complicated reason why there are these summers and winters? [laughs] PATTIE: Well, I think that that is indeed a primary problem. So yes, there have been several AI summers and winters. Probably a lot of your listeners are young enough that they don't realize that there was another hype cycle for AI that happened sort of in the '80s and '90s with the emergence of expert systems, so-called expert systems. These were not based on machine learning and neural network techniques but instead were typically based on rule-based systems. But they were very sophisticated. They had typically a lot of knowledge built in about a particular problem like, say, making a certain diagnosis, or doing some planning, or what have you. So the systems in laboratory settings were very impressive and were often outperforming experts at doing some scheduling problem, or planning problem, or diagnosis, or recognition problem. But what happened when they were put into the workplace or when people tried to integrate them into the real world was that they basically encountered all sorts of obstacles. One of the obstacles was that people wouldn't necessarily trust the machine, the expert system. They didn't quite know how to work with it or where to fit it into their workflow. They weren't always able to get explanations for why the machine was making a certain decision. It was very hard to correct the knowledge of the system and give it new information or to update its information if it wasn't correct. So there wasn't really a lot of transparency, a lot of controllability, interpretability. And that ultimately was the downfall of expert systems. And so yeah, at that time, just like now, there were many startups, millions of dollars pumped into all of this. The conferences and exhibits were extremely popular, and all of that died down. And we entered an AI winter where suddenly there was very little interest from the real-world businesses in AI. Now, of course, we are in another summer, in another hype cycle. And I am actually very worried that we are making exactly the same mistakes because most of the AI systems that are being developed are being developed very much not in the context of where they ultimately will be used or not with the collaboration of the people who ultimately will use these tools. And so we will encounter exactly the same problems of trust and transparency, and controllability, and interpretability. So, in my work, I've always been emphasizing a different approach. And I like to not call it artificial intelligence but rather maybe augmented human, or augmented intelligence, or maybe human-centric AI because our approach is one where we start out by studying what people are already doing in a certain work environment, whether that is a manufacturing floor or a doctor in the hospital, and so on. And we actually work together with them or think about how we can support the people that are there to do their work better, to be more effective at their work. And so it's a totally different way of looking at a problem. We try to optimize for the person and the technology together to perform better. We don't try to optimize for the algorithm or the system to become better without thinking about how that system will be integrated into our real lives and real-world scenario. TROND: Well, this is super interesting. I want to go into a couple of examples of things that you have done with your students and otherwise in a second. But first, why have we not learned collectively this lesson? I mean, what is it? I mean, is this something you think is happening across the board with technology? Or is it even just specific to this machine learning AI environment that we...are we so tempted by the potential impact of the use cases that we’re just getting carried away into the algorithms'depth and then forget the user? Or why haven't people said this is not good enough? PATTIE: I think that it is actually a broader problem with development of digital technologies. All of the technologies that we use today whether it is maybe AI systems or whether it is social networking services and so on, they mostly have been designed and built by engineers, by teams that just consist of engineers and not people that come from very different backgrounds, for example, more social humanities backgrounds, et cetera. One of the reasons that I was very excited to join the Media Lab as opposed to a computer science department is that it is very interdisciplinary. And we really recognize and try to emphasize that interdisciplinarity is extremely important in innovation, in creating things that ultimately will be successful and will be able to make a positive difference basically and a positive impact. So that means involving not just engineers but also designers, people who can really think about making things fluid, seamless about how it integrates into workflow, and so on. But also people from humanities backgrounds, and social scientists, and so on. So I think it's important to have that broader perspective to make or to create technologies that ultimately are desirable and ultimately really improve our lives. TROND: But, Pattie, take me inside of a week in the Media Lab. Because when you describe it this way, it sounds almost so intuitive and simple that I'm wondering why people need to travel to the Media Lab to learn this. Because if it was just simple to just hire a team with different skills, and it will happen, there surely is some other type of magic ingredient. What does a week look like in your lab? How do you draw out the kind of creative energy...maybe it's helpful if you take Arnav Kapur's AlterEgo, which most people know as just that video that went viral. And they're like, imagining the future of computing with just this device where he's not even speaking, but he's kind of just basically controlling, it would seem, the computer with his jaw. Now, fantastic video; how does something like this come out of your lab? PATTIE: So we are a very open laboratory. So, in addition to attracting creative, entrepreneurial people and really cultivating a very interdisciplinary team, we engage a lot in conversations, in discussions with others, with the outside world, which is actually pretty rare still for people in universities. [laughs] So, for example, we have member companies. We have a consortium of companies that fund the Media Lab, and they, pre-COVID at least, come and visit on a daily basis. Every day we have at least ten different companies visiting to see the work, to engage in discussions, to give us feedback. They don't direct the work, but they can be critical. They can see opportunities for where to take it, and so on. And we engage in a very iterative type of style of work, where we quickly prototype something. Like in the case of AlterEgo, it looked pretty ridiculous the way it was glued together with some cardboard and other things that we could find in the lab. [laughs] But we create these very early prototypes that are very clunky, don't work very well. But those make a certain future more visible. They envision what is possible or make it more concrete. And then we invite a lot of feedback from all of these visitors, from all of these people with different backgrounds. And they see oppo…

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Episode 91: Reimagine Training Aug 03, 2022

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Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 3 of the podcast, the topic is: Re-imagining workforce training. Our guest is Sarah Boisvert, Founder and CEO Fab Lab Hub, LLC and the non-profit New Collar Network.In this conversation, we talk about re-imagining workforce training, industry 4.0., what do you mean by “New Collar” jobs? We discuss the mushrooming of Fab Labs. What skills are needed? How can they be taught? How can the credentials be recognized? .What has the impact been? Where do we go from here.After listening to this episode, check out Sarah Boisvert's online profile as well as the New Collar Network: Sarah Boisvert https://www.linkedin.com/in/sarah-boisvert-3a965031/ The New Collar Network (@NewCollarNetwrk): http://newcollarnetwork.com/Fab Lab Hub (@FabLabHub): http://fablabhub.org/Augmented is a podcast for leaders in the manufacturing industry hosted by futurist Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, the open learning community launched at the World Economic Forum. Our intro and outro music is The Arrival by Evgeny Bardyuzha (@evgenybardyuzha), licensed by @Art_list_io. Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars on Apple Podcasts. To nominate guests, to suggest exciting episode topics or give feedback, follow us on LinkedIn, looking out for live episodes, message us on Twitter @augmentedpod or our website's contact form. If you liked this episode, you might also like episode 3: How to Train Augmented Workers. Augmented--the industry 4.0 podcast. Transcript: TROND: Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What's next in the digital factory? Who's leading the change, and what are the key skills to learn? How to stay up to date on manufacturing and industry 4.0. Augmented is a podcast for leaders in the manufacturing industry, hosted by futurist Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, that is M-F-G.works, the open learning community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern, every Wednesday. Augmented — the industry 4.0 podcast. In episode 3 of the podcast, the topic is Reimagining Workforce Training. Our guest is Sarah Boisvert, Founder and CEO of Fab Lab Hub and the non-profit New Collar Network. In this conversation, we talk about reimagining workforce training, industry 4.0, and what do you mean by new collar jobs? Fab Labs, what skills are needed? How can they be taught? How can the credentials be recognized? What has the impact been, and where do we go from here? Sarah, how are you doing today? SARAH: I'm doing well. How are you? TROND: I'm doing fine. I'm excited to talk about reimagining workforce training, which seems to be an issue on your mind, Sarah. You are a founder yourself. You have been actively involved in advanced manufacturing. I understand part of your story is that your company manufactured and sold the Lasik eye surgery back in 1999. So you've been involved in manufacturing for a while. We're here to talk about something very exciting. You say new-collar jobs is the big focus. I know you didn't invent the term. Can you give me a sense of what new-collar jobs refers to, first of all? SARAH: Sure. It is a term that was coined by Ginni Rometty, who was then the CEO of IBM. She's now the executive chair. And it refers to blue-collar jobs that have now become digital. And so many of our jobs...if you just think about your UPS man who now everything's not on paper, it's all in a handheld tool that he takes around on his deliveries. And all jobs are becoming digital. And so I thought that Ginny's term encapsulated exactly what's happening, and the technologies that we used to use just in manufacturing are now ubiquitous across industries. TROND: You have also been instrumental in the MIT spinout project called Fab Labs. Just give us a quick sense, Sarah; what are Fab Labs? Not everybody is aware of this. SARAH: Fab Labs are workshops and studios that incorporate many different kinds of digital fabrication. So we are taking the ones and zeros, the bits of CAD designs, and turning them into things that you can hold in your hand. And it covers topics like 3D printing, and laser cutting, and CNC machining. But Neil Gershenfeld, who founded the international Fab Lab Network, likes to say the power of digital fabrication is social, not technical. TROND: You know, this brings me to my next question, what skills are needed? So when we talk about new-collar jobs and the skills and the workforce training, what exact skills is it that we need to now be more aware of? So you talked about some of them. I guess digital fabrication, broadly, is another. Can you go a little bit more into what kind of skills you have been involved in training people for? SARAH: Well, when I first started this project, I had always been interested in workforce training, obviously, because I had a manufacturing company, and I needed to hire people. And we had worked with the community college near our factory to develop a two-year curriculum for digital manufacturing. But I had in mind exactly what I needed for my own company and the kinds of skills that I was looking for. And so a lot of Fab Labs, because we have about 2,000 Fab Labs around the world, heard about this program and started asking me, "Could you make a curriculum for us?" And there were so many of them that I thought I needed to come up with something that is going to fit most of the Fab Labs. And so I interviewed 200 manufacturers in all kinds of industries and from startups to Fortune 10 and so companies like GE, and Boeing, and Apple, and Ford, as well as companies in the medical device space. What they all told me they wanted was...the number one skill they were looking for was problem-solving. And that's even more important today because we're getting all these new technologies, and you haven't got some guy in the back of the machine shop who has done this before. And we're getting machines that are being built that have never been built before. And it's a whole new space. And the second thing they were looking for was hands-on skills. And I was particularly looking at operators and technicians. They were also looking for technical skills like CAD design, AI. Predictive analytics was probably the number one skill that the international manufacturers' CEOs were looking for. And I got done, and I thought, well, this is all the stuff we do in Fab Labs. This is exactly what we do. We teach people how to solve problems. And so many of our labs, particularly in places like Asia or Africa where there was tremendous need and not enough resources, necessity is the mother of invention. And so many of our Fab Labs invent amazing things to help their communities. And I thought, well, we don't need a two-year curriculum because the need for the employers was so extreme. I thought we need something more like what we do in Fab Labs. TROND: And how can these skills be taught? What are the methodologies that you're using to teach these skills that aren't necessarily, you know, you don't need to go to university, as you pointed out, for them? But they have to be taught somehow. What are the methods you're using? SARAH: Well, I did a lot of research trying to nail that down when I got done figuring out what it was people needed in the factories. And it seemed like digital badges were the fastest, easiest, most affordable way to certify the ability of a badge earner to work with a particular skill set. And they were developed by IBM and Mozilla probably decades ago now and are used by many organizations to verify skills. And it's a credential that is portable and that you can put on your digital resume and verify. There is an underlying standard that you have to adhere to; an international standards body monitors it. And there's a certain level of certainty that the person who says they have the skill actually has it. TROND: That's a good point because, in this modern day and age, a lot of people can say that they have gone through some sort of training, and it's hard to verify. So these things are also called micro certifications. How recent is this idea to certify a skill in that digital way? SARAH: I think that these particular badges have been around for decades, and people like Cisco, and IBM, and Autodesk have been using them for quite a long time, as well as many colleges, including Michigan State, is one that comes to mind that has a big program. And they can be stacked into a credential or into a higher-level course. So we stack our badges, for example, into a master badge. And that combines a number of skills into something that allows someone to have a job description kind of certification. So, for example, our badges will combine into a master badge for an operator. And so it's not just someone who knows CAD. They know CAD. They know how to run a machine. They know how to troubleshoot a machine. TROND: So we touched a little bit on how these things can be taught. But is this a very practical type of teaching that you are engaged in? I mean, Fab Labs, so they are physically present, or was that kind of in the old, pre-COVID era? SARAH: Well, yes, we were typically physically present with COVID. This past summer, I spent a lot of time piloting more online programs. And so, for our design classes, we can still have people online. And our interns 3D-print their designs, and then they can look at them via photography or video, if it's a functional design, and see how the design needs to be iterated to the next step. Because, as you know, it never comes out right the first time; it takes a number of iterations before it works. And we just recently, this week, actually completed an agreement with MatterHackers, who are a distributor of tabletop 3D printers, to bundle their 3D printers with our badges. And so someone can then have a printer at home. And so, if you have a family and you're trying to educate a number of children, it's actually a pretty economical proposition. And they offer two printers that are under $1,000 for people who are, for example, wanting to upskill and change careers. They also offer the Ultimaker 3D printer that we use pretty heavily in our lab. And it's a higher level with added expense. But if you're looking at a career change, it's certainly cheaper than going back to college [laughs] instead. TROND: So I'm curious about the impact. I know that you started out this endeavor interviewing some 200 U.S. manufacturers to see that there was...I think you told me there was like a paradigm shift needed really to bring back well-paying, engaging manufacturing careers back to middle-class Americans. And that's again, I guess, pointing to this new-collar workforce. What has the impact been? I mean, I'm sitting here, and I see you have the book, too, but you generously gave me this. So I've been browsing some of the impacts and some of the description of what you have been achieving over the past few years. What has the impact been? How many people have you been able to train? And what happened to the people who were trained? SARAH: We've only been doing it a couple of years. And in our pilot, we probably have trained 2,3,400 people, something on that. And it's been a mix of people who come to us. Because we teach project-based learning, we can have classes that have varying levels of experience. So we have people who are PhDs from the Los Alamos National Lab who drive the 45 minutes over to us, and they're typically upskilling. They're typically engineers who went to school before 3D printing was in the curriculum. And they are adding that to their existing work. But we get such a wide range of people from artists. We're an artist colony here. And we get jewelers, and sculptors, and a wide range of people who have never done anything technical but are looking to automate their processes. And so my necklace is the Taos Pueblo. And it was designed by a woman...and her story is in the book. So I should add that the book you're referring to has augmented reality links to the stories of people. And she just was determined. She, I think, has never graduated from high school and is an immigrant to the United States. And she just was determined to learn this. And she worked with us, and now she designs in CAD, and we 3D-print the molds. And her husband has a casting company, and then he has it cast in sterling. TROND: I find that fascinating, Sarah because you said...so it goes from people who haven't completed high school to kind of not so recent PhDs. That is a fascinating range. And it brings, I guess, this idea of the difficulty level of contemporary technologies isn't necessarily what it was years ago. It's not like these technologies take years to learn, necessarily at the level where you can actually apply them in your hobbies or in the workplace. Why is that, do you think? Have we gotten better at developing technologies? Or have companies gotten better to tweak them, or have we gotten faster at learning them? Or is the discrepancy...like, this could be surprising for a lot of people that it's not that hard to take a course and apply it right afterwards. SARAH: Learning anything comes down to are you interested? It comes down to your level of motivation and determination. A couple of things, I think the programs, the technical programs, and the machines have become much easier. When I started in the laser business, every time that I wanted to make a hole, I would have to redesign the optical train. And so I'd have to do all the math, so I'd have to do all the advanced math. I would have to put it together on my bench, and hopefully, it worked, and tweak it until I got the size hole I needed in the material I needed. Today, there's autofocus. It's just like your camera. You press a button; you dial in the size hole you want, and away you go. And it's interesting because many of the newer employees at our company Potomac Photonics really don't have the technical understanding that I developed because they just press the button. But it moves much faster, and we have more throughput; we have a greater consistency. So the machines have definitely improved tremendously in recent years. But I also think that people are more used to dealing with technology. It's very rare to run into somebody who doesn't have email or somebody who isn't surfing the web to find information. And for the young people, they're digital natives. So they don't even know what it's like not to have a digital option. I think that a number of things have come together to make that feasible. TROND: Sarah, let me ask you then this hard question. I mean, it's a big promise to say that you can save the middle class essentially. Is it that easy? Is it just taking one or two courses with this kind of Fab Lab-type approach, and you're all set? Can you literally take someone who feels...or maybe are laid off or feels at least not skilled really for the jobs they had, the jobs they want, and you can really turn them into highly employable in a matter of one course? Has that really happened? SARAH: In one course or one digital badge, it is possible to get some jobs, but i…

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Episode 90: A Renaissance in Manufacturing Jul 27, 2022

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Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode #4 of the podcast, the topic is: A Renaissance of Manufacturing. Our guest is Enno De Boer, Partner, Digital Manufacturing Lead, McKinsey.Augmented is a podcast for leaders, hosted by futurist Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9 am US Eastern Time every Wednesday. Augmented--the industry 4.0 podcast.In this conversation, we talk about What is digital manufacturing? How to transform operations strategy, best practices, specifically the World Economic Forum Global Lighthouse Factories. We also tackle future developments: How to stay up to date in this fast moving field? What’s next?Trond's takeaway: is that manufacturing is indeed undergoing a renaissance. There should be a tremendous amount of excitement among policy makers, industry professionals, and frontline workers about the changes in play. Technologies are maturing. The digital factory is becoming a reality. For those who already took on board the lessons of lean manufacturing and are exploring the latest opportunities, automation has become augmentation. Yet, there's still a lot to learn. The World Economic Forum's Lighthouse factories is one place to seek inspiration.After listening to this episode, check out the World Economic Forum Global Lighthouse Network, McKinsey's Operations practice, well as Enno De Boer's social profile. World Economic Forum Global Lighthouse Network: https://www.weforum.org/projects/global_lighthouse_network Enno De Boer (bio): https://www.mckinsey.com/our-people/enno-de-boer McKinsey Manufacturing & Supply Chain practice area (@mckinsey_mfg): https://www.mckinsey.com/business-functions/operations/how-we-help-clientsAugmented is a podcast for leaders in the manufacturing industry hosted by futurist Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, the open learning community launched at the World Economic Forum. Our intro and outro music is The Arrival by Evgeny Bardyuzha (@evgenybardyuzha), licensed by @Art_list_io. The show can be found at http://www.augmentedpodcast.co/ Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode #1 on From Automation to Augmentation or Episode #2 on How to Train Augmented Workers. Augmented--the industry 4.0 podcast. Transcript: TROND: Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Augmented is a podcast for leaders, hosted by futurist Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time every Wednesday. Augmented — the industry 4.0 podcast. In Episode 4 of the podcast, the topic is A Renaissance of Manufacturing. Our guest is Enno De Boer, Partner and Digital Manufacturing Lead at McKinsey & Company. In this conversation, we talk about what is digital manufacturing? How to transform operations strategy, best practices, specifically the World Economic Forum Global Lighthouse Factories. We also tackle future developments: How to stay up to date in this fast-moving field, and what’s next? TROND: Enno, how are you doing today? ENNO: Very good. TROND: I'm excited to have our conversation. First off, Enno, you're an interesting guy. You obviously have a tremendous amount of experience working with a lot of manufacturing factories through your work at McKinsey and also now directly at the World Economic Forum. But what got you into manufacturing? What sparked this interest? ENNO: I had always kind of a passion for real things, for products and everything. And my dad was an engineer. He was a researcher in the steel industry, and he wanted to get me into steel, but I thought I wanted to have something a little bit more sophisticated. So I got initially into automotive, got really excited about it. And then when you're in automotive, you need to go to the shop floor; that's where the real music is. So that's how I got into it. And then, from there, it took its toll, and I went into any industry, and I'm always passionate about manufacturing. TROND: Wow, that's where the real music is. Well, you ended up getting your master's and your doctorate in mechanical engineering. I think they're all from Dresden and from Aachen. So you've been around the academic side and now very much on the combination, I guess, of consulting and advising, but you enjoy getting into these factories and hearing the music, basically. ENNO: Yes, totally. I started my career at BMW, and it was amazing to see what product they are building, et cetera. And then, I moved to McKinsey, and it was always about the products and how can we make the products better? How can we get them better to the consumer, and also, how can we make literally the shop floor a better environment? And I think that's so exciting about what we're seeing at the moment with this digital revolution, and we're getting to that in a moment. But it's all about augmenting the operator and figuring out how do we take the dull, dirty, and dangerous work out of manufacturing and make it very exciting? I think it's one of the most exciting spots to be. For all the young people, I just say go into manufacturing. That's where all the fun technologies come to bear. Is it augmented reality, virtual reality? Is it digital twins? Is it AI? Is it digitization? Is it 3D printing? All of that is coming there. Tell me any other industry where that's happening. TROND: You know, I echo what you're saying. And it's almost incredible how long it has...well, how long it has taken, but how long it's taking for the wider world to realize how many things are actually coming to the fore in manufacturing right now. Give us a sense of what this environment looks like. Well, there are many buzzwords, but what is digital manufacturing? Let's start sort of simple here. ENNO: Yeah, digital manufacturing, actually, it's interesting. It's an interesting term. So when we worked with the World Economic Forum, we defined digital manufacturing as 110 use cases that are spread across...roughly half of them within the factory walls. And then something like predictive maintenance, very apparent, but then half of them also outside of the four walls. So how do you connect to product development, get your products faster developed? Most likely with virtual reality, with digital twins. How do you connect to the customer? How do you get customer orders in and immediately propagate them down to the shop floor and all the way back to the customer where the product lands? And you want to have this in one digital thread, how we call that. So that's very exciting. So that's digital manufacturing. It's very much about augmenting the operator. As I said before, it's not so much about this idea that was out there in the '80s and '90s about the lighthouse factory and full automation. Nobody is talking about this. This is really a concert of how we are bringing technologies to allow the operator to bring out better products in higher quality, in higher agility, and more sustainable. TROND: I know industry 4.0 is a big term. But at the forum, there's also this notion of this fourth industrial revolution, so very specifically calling it a revolution. How do you feel about those things? Are they even sort of perhaps wider terms than just focusing on the worker? ENNO: I think it's interesting. I think it's partly we have an evolution because the manufacturing sector you cannot change overnight. It's very complex to manufacture products, and you need many technologies. So it feels not like this is happening overnight. Though I would say now, with what we have gone through with this terrible pandemic over the last year, it has almost switched, and it totally accelerated the digital transformation. So I feel now it's becoming much more of a revolution because I'm seeing examples where innovation is not stopping anywhere. Like we have one lighthouse that we got new on the lighthouse platform from Alibaba. They took an entirely new stand on how do you do apparel manufacture? How do you produce jeans? Now, that sounds very simple and sounds very labor intense. They took a stand at this and fully connected it to the customer to get their ideas on how that would work, but then fully digitized it. And that allows them to create products, new apparel in only 30% of the time and also bringing it to the customer 70% faster than anything we have seen before. So there's a real revolution going on and a renaissance, I would say, of manufacturing and the art of the possible. I would say the limit is the sky. TROND: But you said lighthouse. When you say lighthouse, to me, I'm thinking of a navigational tower created out there in the ocean with lights and signals to navigate against. Give me a sense of what this metaphor means and what you have used when you built out this Lighthouse Network at the forum. What does it mean, and what's the purpose? And why this metaphor? ENNO: Yeah, and I think it's great that you're asking because I got a lot of questions at the beginning. "Is lighthouse the right word, Enno? Lighthouse is where we are driving on rocks. Is that not negative?" And I said, "No." It's like the light. We need always role models. We need examples that we can latch on. We need things that we can learn from, that are lighthouses. Lighthouses are a towering example. They are high. They are shining out, and they're shining the way. And I'm a sailor, so I love lighthouses. So when I'm coming to the coast and the first thing I see is this light. And it's going up, and it's leading me the way, and then I'm coming nearer. I get the contours. And that's a lighthouse. So what is the lighthouse? The lighthouse is, we said it's not a shiny object. Stop with these shiny objects. It's not about technology forward; that's wrong. It's not about building an ivory tower, and everyone is looking in very different. Three things we're looking for with WEF Lighthouse; first of all, we want to see impact at scale. Secondly, we want to see that unleashed by several use cases, several technologies that enable that, like really innovation there. And then, we want to see that this is sustainable, that there are the measures and the enablers below that is not only sustainable but also scalable. That is, for us, a lighthouse, and that's something that is exciting people. And they say, "Well, I want to..." I get every week a call "I want to have a lighthouse in my organization. How do I do this?" And that's exactly what we wanted to create. We wanted to create that everyone gets a feeling of what really is industry 4.0. TROND: Well, so then here's my question. How did this project get started, and how do you select lighthouses? And what exactly do you collect once you have selected lighthouses, and how is it that then it becomes helpful? Is it kind of a collection of videos from the sites? Is it interviews with the people who have designed the work processes there? What is it exactly? ENNO: Yeah, it started...as always, the first try is not working. [laughs] So when we started it, the first idea I had I said look, we need these lighthouses. We need examples. It's like in the old lean terms where we had Japan; we had Toyota, we had Honda, as ways to go for the manufacturing community to learn. I said, "We need to create the Japan of digital manufacturing." And the first answer that I got from a couple of executives where I was on an executive committee, they said, "Hell no. We'll not share our secret sauce. We're ahead, and we don't want that others learn from it." And I said, "I think that's wrong. You need open innovation. You need to share," Because this is such a dynamic environment where you can only stay ahead if you fully open collaborate, and learn from the best, and then stay ahead." And it turned out to be true. And then I found the World Economic Forum. They loved the idea. We started to build this app jointly. And it's now something that everyone in the manufacturing industry aspires. So that's how it started. It was a lot of work. So we started almost three years ago to build this with the World Economic Forum. And we still feel we're only at the very beginning. We have now 54 lighthouses and more than a dozen, actually, to be announced soon that are coming out. But if you put this into perspective, this is 50 out of 10 million factories, so a lot of work to be done. TROND: How many lighthouses should there be? ENNO: I think there should be many, many more. And I think every organization should have at least a handful or a dozen lighthouses. Because what we find is you need different lighthouses in an organization. You need maybe a lighthouse that shows you how you connect your product development to manufacturing. You maybe need a lighthouse on how do you connect to the customer? You need a really sustainable lighthouse. So there are already three. And then you need to start to use this lighthouse. A lighthouse is not a mean by itself. I think then you need to start that you get the entire organization to kind of moving to transform the entire value chain, the entire production network. So you could almost see that. And that's how I see it. I think we're very blessed with these lighthouses because, for me, they are a little bit of the window into the future. That should be the standard in three, four years for any manufacturer. So if you ask me, maybe 10 million so all the factories should become lighthouses. Now, every lighthouse will be a little bit different and needs to be built within its context. TROND: But are you saying that in order to qualify to be a lighthouse, there is an aspect that is better than the average? Because otherwise, you shouldn't be looking at it. Now I'm just trying to figure out, well, one, you how you select it, and on what features you select these things. And on the aspirational side, if I'm a factory owner or an organization and I think I'm inspired by what you're saying, how do I interact with this project? And how do I learn from the lighthouse? How do I build my own lighthouse? What is this thing? ENNO: So I think you're spot on. We said we wanted to create the Japan of digital manufacturing, that was a vision, and that is still to be true. So what we want to have on the platform is lighthouses that bring learnings to others, that are willing to share those, and that are towering, and these learnings are important and interesting enough that everyone can learn from it. So yes, it should be over the average. It should be better than anything. It should be a best practice. Yes, of course. We are not looking for someone who has invested a ton of money into technology and has not gotten any returns out of it. There are a lot of examples of that. We are looking for the ones who have smartly invested into technology, also…

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Episode 89: The Fourth Industrial Revolution post-COVID-19 Jul 20, 2022

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Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 9 of the podcast (@AugmentedPod), the topic is: The Fourth Industrial Revolution post-COVID-19. Our guest is Francisco, Betti, Head of Advanced Manufacturing and Production, World Economic Forum.In this conversation, we talk about why he got into manufacturing and how the World Economic Forum works. We discuss how the Forum has changed over these past 5 years and how manufacturing has become the lead topic among the global elite. The manufacturing platform is now, arguably, the primary among 17 flagship initiatives at the World Economic Forum. We go deeply into the changing business models of manufacturing and what the next decade holds.After listening to this episode, check out World Economic Forum as well as Francisco, Betti's social profile.World Economic Forum: https://www.weforum.org/Francisco, Betti: https://www.linkedin.com/in/francisco-betti-10074342/?originalSubdomain=chTrond's takeaway: Manufacturing has escalated in prominence during COVID-19, and for good reason. What we can produce decides what we can become. The deep digitalization gains society has made over the past few years had to quickly be implemented on the factory floor. Surprisingly, a large part of the industry was ready. But the process now needs to complete and the results will likely be an entirely new production platform for the world. Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 4: A Renaissance of Manufacturing or episode 6: Work of the Future. Augmented--the industry 4.0 podcast. Transcript: TROND: Augmented reveals the stories behind a new era of industrial operations where technology will restore the agility of frontline workers. In Episode 9 of the podcast, the topic is The Fourth Industrial Revolution post-COVID-19. Our guest is Francisco Betti, Head of Advanced Manufacturing and Production, The World Economic Forum. In this conversation, we talk about why he got into manufacturing and how The World Economic Forum works. We discuss how the forum has changed over these past five years and how manufacturing has become the lead topic among the global elite. The manufacturing platform is now arguably the primary among 17 flagship initiatives at The World Economic Forum. We go deeply into the changing business models of manufacturing and what the next decade holds. Augmented is a podcast for leaders hosted by futurist, Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG.works, the manufacturing upskilling community launched at The World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time every Wednesday. Augmented - the industry 4.0 podcast. Francisco, it's great to have you here. FRANCISCO: Excellent. Well, thank you for hosting me, Trond. TROND: Well, Francisco, you are an international development professional. You are now working for The World Economic Forum. And I meet you regularly because you support an enormous amount of activity there in manufacturing. But I wanted to bring us back a little bit to your origin. I know you went to The Sapienza University in Rome, studied international relations, and then worked a little bit in consulting. What was it that got you interested in manufacturing? Because it's a path that I always have to ask people about. It's not the obvious path today. But perhaps it would be the obvious path tomorrow, which we'll get to. But I'm curious about your way. FRANCISCO: It's a great question, Trond. And indeed, I have a background in international development relations, economic development as well. And I had a past career in consulting. How did I start focusing in manufacturing? It was at The World Economic Forum back in 2015. Actually, when I joined the forum, I realized there was a need to launch a new piece of work, a new conversation on the future of production on the future of manufacturing. And we started at the time working on a very small concept that was pretty much oriented towards...it was the policy angle, which is why there you get the connection with the international development space. At that time, we were in conversations with a few governments who were not yet aware of this concept of The Fourth Industrial Revolution but who started to see coming a wave of transformations that they knew were going to disrupt their manufacturing base and have an impact on their manufacturing base. And therefore, we started the conversation with prime ministers, with minister of industry, that then led to put together a product concept that evolved over time. And today, it's one of the 17 global platforms and initiatives that The World Economic Forum is running that I lead on the future of advanced manufacturing and production. At the very beginning, we started focusing pretty much on the policy angle. Today it's a real public-private platform where both companies and governments advocate for the actions that need to be taken to shape the future of production that works for all. TROND: Francisco, it's a fascinating journey for you. But it's also an incredibly fascinating journey for the field of manufacturing. And I wanted to address a little bit how manufacturing as a platform became one of the 17 flagship initiatives, and by that, how The World Economic Forum itself has changed over these past few years. And then lastly, the last year has meant enormous change with preparation around COVID. And again, manufacturing has been escalated into this enormous importance. And I would imagine that your development background has come in handy because the kinds of issues that suddenly became foreground were a little unusual, I guess, for manufacturing as well. So firstly, what has happened at The World Economic Forum over these years that has catapulted manufacturing into this prominence? FRANCISCO: What I think is that in the conversations with our private sector community but also with the public sector, we realize that there was an urgent need for a public-private dialogue to be brought back on top of the agenda. We all know what happened with COVID. The disruptions that we saw in manufacturing, I think, made us realize that when things go wrong in manufacturing, you run out of essential products, not even talking about the protective equipment, ventilators, and all the things that were most needed because of the public crisis. But even basic supplies such as food or toilet paper became an issue, and people started talking about those. So let's say that there was a realization that manufacturing still plays a major role in our global economies and society. And that's something that is quite exciting and interesting, but you need to look a couple of years back. And I think if you look at the pre-COVID war, and you start thinking about how different megatrends were shaping the war, you also realize why manufacturing came back and became an important issue on top of the global agenda for both private and public sector communities. And what I'm talking about is the combination of mainly probably three or four megatrends, but it's The Fourth Industrial Revolution, which is a concept that our Executive Chairman launched back in 2017, mainly referring to the blurring lines in between the OT and IT war that are transforming not just how our companies operate but probably who we are and what we do as human beings. So it was the concept of The Fourth Industrial Revolution together with climate change, the imperative for sustainability, with the geopolitical trends and tensions that we saw over the past four to five years. And, of course, all things that relate to the geo-economic evolution in which you can add elements such as aging population or the slowing of the global economy. But it's all those trends and combinations that made people realize the importance of manufacturing, and that brought it back onto the global agenda. So it's been a fascinating journey. There have been plenty of discussions which would trend from the technology angle, and how technology can transform manufacturing for the good, and what's the positive impact it would have in society. And most recently, about the role that manufacturing can play in the context of this concept of stakeholder capitalism and the need to create value, a new value that is delivered not just to shareholders but to shareholders, workers, society, and the environment overall. TROND: It's fascinating because many of these concepts to some of us are fairly abstract still because like stakeholder capitalism unless you truly are in this battle, or you either were fighting for it to even emerge, or you are at the C-level, and you're basically being tasked with figuring out what this concept is going to translate into... But it seems to me that what you're saying is that with manufacturing becoming such a forefront of many battles in society, this is not theoretical anymore. And it's something that all people can relate to whether you are on the factory floor implementing your OT, as you said, your operational technology or you are at the leadership level and trying to strategize about what this means for the organization as a whole. FRANCISCO: And, Trond, you're absolutely right. Manufacturing needs exactly what change is happening today. We are hearing on a daily basis global companies making commitments towards the SDGs. There was the concept of stakeholder capitalists setting very ambitious targets by 2025-2030 getting CO2 emissions. The only place in which we are seeing that happening now it's in manufacturing. Manufacturing is changing the speed. When you double-click on how digital technologies, digital solutions advance manufacturing, industry for control, it's transforming the world of operations, driving massive efficiencies, productivity revolutions, driving growth, and at the same time, augmenting workers, contributing towards the sustainability targets by cutting energy consumption, water consumption, material consumption, optimizing waste management. I think that's when you realize that it's probably in the real economy space, in the manufacturing space, where all those commitments are starting to come to life, and that we are seeing real change and real action. It's extremely exciting. TROND: Yeah, and it's also an interesting time because without getting into the politics of this, there clearly is a bit of an outcry because of the success of technology in other fields. Social platforms and other digital advances that we have made have created both an enormous opportunity, which of course, explains why so many things can be achieved in manufacturing. But they were about to run awry a little bit in the sense that they weren't or aren't still contributing to the global good in the direct sense that the manufacturing industry, of course, is primed to do but for so many years was not. It still boggles my mind, though, that we are having these conversations at the forum. These conversations are happening. But I don't think that everybody is fully aware of how far manufacturing is about to change and emerge on the world stage. Give us a little bit of a sense before we get into the meat. And I want to talk about business model changes in the industry. But what do you think is needed for the greater public? And by that, I mean young people, older people to realize that manufacturing is actually where things are happening today. What does it take to see it? FRANCISCO: Well, I think that it's a great question, Trond. And I think that one of the...we probably need to start by asking what can manufacturers do to get closer to the general public? And things like open up facilities so that people can see what both a factory, you know, not of the future but the factory of today looks like and how shopfloor operators are interacting with new software technologies, new interfaces, the world of advanced robotics. We are even seeing drones flying within facilities with inspection, right? The level of technological transformation and the pace in which it's happening within manufacturing facilities it's amazing. And if you link that to the jobs conversation and how that connects with new generations, I think that...I'm sure that you know younger generations will get very excited if they have a chance to see. So I think manufacturing has been traditionally, and because that's the role that it used to play, always behind the scenes. I think that we do have an opportunity for manufacturers to start showing to the general public what it is, and what it really looks like, and how exciting it is, and also the contribution it makes. A lot of the things that we enjoy today in life could not be enjoyed if there wasn't a factory, if there wasn't a facility, if there wasn't an entire supply chain behind it. So yes, I think that there's something that the manufacturing community can do better, which is to talk more about the things that are happening in manufacturing in a very transparent, open way. And that's one of the things that we are looking at the forum, providing that platform to interact with the general public. TROND: I just wanted to point out that, again, these are sensitive things, but the forum for a long time was just the way it was set up was a conversation between leaders. But I have seen over the last few years that more and more you realize, or maybe explain it to me, that it's more than a conversation between leaders. Clearly, this conversation is more important than ever. But in addition to a conversation between leaders, you and the industry need to foster a conversation with small and medium-sized enterprises and, as you pointed out, actually, with the greater public because the battle here is kind of a battle of interpretation. Is this an interesting space to be in? And if so, we all need to innovate within this space. That must be challenging for a network that was basically mostly set up to dialogue with leaders. I wanted you to talk a little and begin this discussion because I know you have written a paper on changing business models. But at the same time, as you're writing this paper, the forum is almost having to change its own business model. So I want you to address that just because business models is such an abstract thing. So I wanted you to personalize it a little bit as you're explaining what business models mean in manufacturing these days. FRANCISCO: Absolutely. And I think that we are all transforming our self-set speed within the current context. It's either transform, innovate, or die nowadays. And that happened to every organization regarding this space in which they operate. Maybe on the first part of your question, I think that 50 years ago or 51, when the forum was founded by the Executive Chairman, Professor Klaus Schwab, of course, the main role was to convene leaders. But then, over time, we evolved and became an international organization for public-private cooperation in which dialogue is just an important component of what we do. What really happens at the forum is the formation of communities that are able to drive action and impact over time. Now, of course, in the context of the current pandemic, it’s how do you bring leaders together? And how you orchestrate and incubate those sections that will deliver impact became a challenge. But it forced us to adopt digital technologies at a pace that we didn't think we could. We were doing that before, but COVI…

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Episode 88: The Future of Digital in Manufacturing Jul 13, 2022

Show notes

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. In episode 21 of the podcast @AugmentedPod, the topic is: "The Future of Digital in Manufacturing." Our guest is Çağlayan Arkan, VP of Manufacturing Industry at Microsoft (@Caglayan_Arkan). In this conversation, we talk about where manufacturing has been in the past, why manufacturing has been lacking a sense of urgency in the sense of industry 4.0 but how everything we know about manufacturing has changed. We also discuss workforce transformation, democratizing operational technology, and the future of industrial innovation.After listening to this episode, check out Microsoft's manufacturing approach as well as Çağlayan Arkan's social media profile:Microsoft Cloud for Manufacturing: https://www.microsoft.com/en-us/industry/manufacturing/microsoft-cloud-for-manufacturing Çağlayan Arkan: LinkedIn, Blog: https://aka.ms/CaglayanArkanBlogTrond's takeaway: The future of digital in manufacturing is enormously impactful. Yet, even deep digitalization will not make workers obsolete. Rather, the challenge seems to be achieving a dramatic workforce transformation which also entails empowerment, upskilling, and autonomy through augmentation of frontline operations.Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 9, The Fourth Industrial Revolution post-COVID-19, episode 4, A Renaissance in Manufacturing or Episode 20, The Digitalization of Körber.Augmented--industrial conversations. Transcript: Augmented reveals the stories behind a new era of industrial operations, where technology will restore the agility of frontline workers. In Episode 21 of the podcast, the topic is The Future of Digital in Manufacturing. Our guest is Çağlayan Arkan, VP of Manufacturing Industry at Microsoft. In this conversation, we talk about where manufacturing has been in the past, why manufacturing has been lacking a sense of urgency in the sense of industry 4.0, but how everything we know about manufacturing has changed. We also discuss workforce transformation, democratizing operational technology, and the future of industrial innovation. Augmented is a podcast for leaders hosted by futurist, Trond Arne Undheim, presented by Tulip.co, the frontline operations platform, and associated with MFG.works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time every Wednesday. Augmented - the industry 4.0 podcast. Çağlayan, how are you today? ÇAĞLAYAN: I am very well. Great to be here. Thank you. TROND: So I am alerted to the fact that you're an outdoor person. And I wanted to cover that just because a technology discussion in manufacturing is not complete without a little bit of personality. And I think you said you are a backcountry skier. I was curious about this. ÇAĞLAYAN: I am. Skiing is my passion, one of them, but probably the one that makes me happiest, the one that I love the most. I like ski touring, and I like skiing the backcountry, the off-piste. I like climbing. I'm a very physical person. And on a similar note, I also am a cyclist. I'm a sailor, a windsurfer. I just love being out, and I love the wind on my face. TROND: So at some point in the future, when the pandemic is over and behind us, I think my next podcast with you we will simply go for a hike. ÇAĞLAYAN: Well, let's do it. But doing it with me has the following potential downside for you. The other piece of my outdoors work, or kind of world, if you will, is that I love miserable weather. I'm a winter person. I love my rain, my cold, my wind. [laughs] And people typically, even if they categorize themselves as outsiders, like outdoor people, they will just love fair weather, I don't. I'm not that person. I don't like the sun on my face. I don't like a lot of people out. I like trails to myself. I like mountains to myself. [laughs] If you're up for it, we'll do it together. TROND: Well, this is probably something you didn't realize. But I grew up in Norway, and there are no people. And we have plenty of bad weather. So admittedly, I don't live in Norway, so that could give you a clue. [laughter] But there is something there. ÇAĞLAYAN: All right, we're on. We're on. TROND: Yeah, we're on. Okay, so having settled that, I wanted to ask you this question. So we're going to talk about, I guess, the future and the current state, present state of manufacturing. But where has manufacturing been in the past? And by the way, when you think past, how far do you go back? I mean, is this just pre-COVID? Because I've heard you talk a little bit about manufacturing traditionally, and I want you to just give us a quick sense of where you think the industry was just a few moments ago. ÇAĞLAYAN: You started personally. Let me personalize manufacturing for me. I'm an industrial engineer with an MBA. And so, my whole education was in plants in the manufacturing environment. And I studied from operations research to metallurgical engineering, to electrical engineering, to construction, to electrical. You just name it. And so that has been something that I really really liked, the system's thinking, the optimization. I've done a lot in OR back in the day, linear and multiple. So maybe too much detail for now. But where is manufacturing? Manufacturing has been mostly manual siloed with a separation between information technology and the data estate that that brings to the table and operations technology that that brings to the table. Technology has never really been, particularly from an IT standpoint, top of mind. Digital transformation has not really been a sense of urgency in manufacturing because things worked. Yet people at the shop floor and things were working until the pandemic hit. So pandemic question, slap on the face for manufacturers. Business continuity none. You can't send people to the shop floor. You cannot operate. You don't see your inventory. You can't see your suppliers. You don't even know whether they're surviving or not, financially or otherwise. So it was a huge, huge, huge problem. But the silver lining of all of this is now there's acceleration into the transformation of manufacturing. Look, why is manufacturing important? Let's spend a minute on that. Manufacturing, unlike many other industries (And I kind of make fun of my peer industry leaders at Microsoft as well.), manufacturing is very real. Manufacturing creates employment. Manufacturing creates growth, builds the economy, builds capacity. Manufacturing is about innovation. Manufacturing is about competitiveness. So it is core to populations, countries. It's core to politicians, to business leaders, and it's just phenomenal. And so if you do things right in manufacturing, things work, including climate change, and sustainability, and a lot of other stuff. And if you do things wrong, you could see a lot of damage done. It collapses economies. It collapses, grids and stops, and creates a lot of disruption. So it is very real. And so I'm sorry I'm providing a long answer, but you can tell I'm passionate about it. It's very personal for me. But by and large, I'm actually excited about where we are. We are at an inflection point. And we'll see a lot of acceleration coming out of the pandemic, the crisis. And stuff we're working on is actually to ensure business continuity and resiliency. Those are the things that are the conversations going forward. TROND: Çağlayan, you took me in an interesting direction. I was just thinking as you were speaking, right before we go to the inflection, it's actually not just a little bit surprising but actually quite surprising that there haven't been any reported massive disruptions due to the pandemic. If you think about all of these mission-critical systems that we have around the world, in every manufacturing-related industry, how do you explain because, as you were saying, historically...and some of these silos are sort of still there, although obviously, we are at this inflection point so somehow already transitioned. But how do you explain that we haven't had more horror stories? And by horror stories, I guess I mean operations completely collapsing, or I guess grids falling apart, or that one manual worker couldn't go in. So X happened that they had never, never thought about. Why haven't we heard anything like that? Are those stories going to come out, do you think, or did nothing seriously happen? ÇAĞLAYAN: Well, it happened. I know for a fact because once this started, I started calling down on my customers, like, "How are you doing? What do you need?" For one, I think that from a table stakes standpoint, we've seen massive teams deployment because people wanted to communicate. They wanted continuity in terms of being able to talk to one another, being able to work, and then work from home, of course, because they couldn't go to their plants or to their offices. So there was a lot of pain. There was a lot of disruption. I talked to some of my customers, and they were like, billions of dollars are tied in inventory, and we have no idea where that sits. Again, they're disconnected from suppliers as well as their customers, and so there was disruption. But luckily, we've had some leaders actually having foreseen what is to come, or they were disruptors or at least early adopters. And they have taken pre-COVID pre-crisis steps for digital transformation. And I love my examples and partnerships where Erickson had started work pre-COVID in terms of digital manufacturing, Outokumpu, a leader in steel manufacturing, significant progress including during the pandemic, Airbus, Unilever. I mean, those are leading examples, only some of them. But you look at the World Economic Forum Global Lighthouse Network; there are so many lighthouse factories that are just like literally lighthouses for people to look at and look up to. That work started years ago. So there are some extremely encouraging examples. There are some very, very dark stories in terms of complete stoppage and horror stories. But by large, we are at a good place in terms of we understand the issues and we understand how to deal with them. And I think most importantly, that notion of time to value is accelerated in manufacturing. And we're coming from prohibitively expensive, I mean, we're talking hundreds of millions of dollars of IT projects that never end to now negligible cost and like 10-12 weeks, a couple of months, and then you stand up a digital factory capability. You have visibility into your supply chain by standing up a control tower. And then, in the case of Airbus or Alstom, you can have your 2,000 engineers still keep doing design and engineering work from home; examples go on. But we understand the issues. We have a very quick ability to build capability, to show that stuff works and you can operate remotely, et cetera, et cetera. TROND: But would you say that this is the definite end to, I guess what you were alluding to is kind of this pilot purgatory? Is COVID the definite end to pilot purgatory? Or is it just that this particular situation was so serious that everybody kind of scrambled, and most of them got it right? Or would you say that...I guess possibly because once you have made this transition, that is the hard work. Do you think that these pilots that everyone was waiting for will that problem disappear because people have learned that this is not the way to introduce technology? You sort of learned it the hard way. ÇAĞLAYAN: Oh, well, my view is if you take a step back, Trond, here's how I see it. One hundred years ago, we were by and large an agricultural society, and we had like 50% of the workforce in agriculture. Today we are by and large an industrial society. And we have like 2% of the workforce in agriculture, and we brought everyone along in terms of The Industrial Age. Today we are at the next junction; some call it industry 4.0, some call it other names. But we as a society assume...like humanity, we're moving from industrial to digital. So that's the higher order. Now, what's the role of the pandemic in this? I think it's that of acceleration. So in any major shift, there are behaviors and categories of actors or players. There are the disruptors. There are those who go and make a market, build a trend. And we have seen those, and we're still seeing them. They are the early adopters. We talked about some of them as well. And then there's going to be the slower adopters and the laggards. And then some of the laggards will not see the light of day or will not maybe exist after we transition to the new reality, new realm, or that notion of digital society. So what I'm saying is it was going to happen, those pilots or people's way, like, slow adopters' way of touching it, putting their toes in the water. For some, it's proving value and acceleration. Pandemic, again, that kind of disruption is going to accelerate and bring more to the table. But it certainly has a role to play. But the higher-level order is we are moving to a very, very different reality for manufacturers and supply chains and even as a society. TROND: Super interesting. Çağlayan, I've heard you talk earlier. And I guess we talked a little bit in the prep about whether this is a different wave of technology because I know you have some views on the democratization of basically operational technology because there are different waves of technology in manufacturing. And traditionally, like you said, the industry has been siloed. But one of the reasons the industry was siloed is that the technology then also turned into silos, arguably. And what is it about the technology these days? Is it getting simpler? Are you, for instance, in Microsoft spending more time on user interfaces than you were before? Or I guess even the introduction of your company so deeply into manufacturing is in and of itself a bit of a novelty. The tech players that weren't specialists are now going deep, deep into industry segments. Give me a sense of why this is happening. And what exactly is this democratization? Gartner calls it citizen developers. ÇAĞLAYAN: Yeah, that's one aspect of it. The way I see it is, very shortly, technology now works. TROND: [laughs] ÇAĞLAYAN: Honestly, I don't know, like five years ago, it just didn't. It was so hard for implementations, for integration, et cetera. It now works. There's virtually nothing technology cannot deliver today. It's up to the leader's vision, leader's ability to execute, and magic happens. There's so much at play right now, that's one. Secondly, technology is the business right now. I mean, technology was isolated. Trond, you will remember those days not too distant past. We had our own language. The CIO, it's like they were from Mars in the organization. [laughter] And they were not mainstream as an executive in the company. Company did their work, and CIO did stuff that nobody really understood. Now, technology is the business. I mean, if you look at any research, you will see that the mainstream business leader, whether it's the CMO, the Chief, Marketing Officer, Chief Digital Officer, Chief Financial Officer, whatever those may be, they're making more technology decisions and have bigger technology budgets than the technology people themselves. So that's t…

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Episode 87: A Brief History of Manufacturing Software Jul 06, 2022

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In episode 10 of the podcast (@AugmentedPod), the topic is “A Brief History of Manufacturing Software.” Our guest is Rick Bullotta, Partner, TwinThread, and co-founder, ThingWorx. In this conversation, we talk about how Rick has shaped manufacturing software history and the lessons learned from being an early employee of Wonderware, the famous precursor to manufacturing automation, back in 1993, a company first sold to British engineering giant Siebe in 1998, which merged with BTR to form Invensys, which, in turn, merged with French multinational Schneider Electric, and later the CTO. Rick Bullotta was also the co-founder of Lighthammer Software which was later acquired by SAP, then in 2009 founding ThingWorx, the first complete, end-to-end technology platform designed for the industrial Internet of Things (IIoT) which was acquired by PTC in 2003. We also touch on his current advice to founders in the industrial space, his board role at Tulip, and what he sees lie ahead for the industry. After listening to this episode, check out Thingworx as well as Rick Bullotta's social profile. Thingworx Rick Bullotta Trond's takeaway: Wonderware, Lighthammer, and ThingWorx are prominent parts of manufacturing software history, and there's a chance that the 4th company he now is involved with, Tulip, also will be. I do things with things is Rick Bullotta's motto. The things he does, he does them well, and it is an internet of things, more than anything else. I, for one, am eagerly listening to what he predicts will happen next. Thanks for listening. If you liked the show, subscribe at Augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like episode 4: A Renaissance of Manufacturing or episode 5: Plug-and-Play Industrial Tech. Augmented--the industry 4.0 podcast. Transcript: Augmented reveals the stories behind a new era of industrial operations where technology will restore the agility of frontline workers. In Episode 10 of the podcast, the topic is a Brief History of Manufacturing Software. Our guest is Rick Bullotta, Partner at TwinThread and Co-Founder of ThingWorx. In this conversation, we talk about how Rick has shaped manufacturing software history and the lessons learned from being an early employee with Wonderware, the famous precursor to manufacturing automation, back in 1993, a company first sold to British engineering giant Siebe in 1998, which then merged with BTR to form Invensys, which in turn merged with French and multinational Schneider Electric and later the CTO. Rick Bullotta was also the Co-Founder of Lighthammer Software which was later acquired by SAP. Then in 2009, founding ThingWorx, the first complete end-to-end technology platform designed for the industrial internet of things, which was acquired by PTC in 2003. We also touch on his current advice to founders in the industrial space, his board role at Tulip, and what he sees lie ahead for the industry. Augmented is a podcast for leaders hosted by futurist, Trond Arne Undheim, presented by Tulip.co, the manufacturing app platform, and associated with MFG Works, the manufacturing upskilling community launched at the World Economic Forum. Each episode dives deep into a contemporary topic of concern across the industry and airs at 9:00 a.m. U.S. Eastern Time every Wednesday. Augmented - the industry 4.0 podcast. TROND: Rick, how are you today? RICK: Good morning. TROND: Well, it's a nice morning. I wanted to talk to you about some history. RICK: Sure. TROND: Well, you are a bit of a legend in this field, Rick. You've been basically part of almost every development in this field for several years. I wanted us to spend a little time today, not just going into your history of background as the founder of several startups that have had very significant impact on the industry but also just bring people in a little bit to the environment and how it has changed, and how based on your perspective, you see it evolving. You had a degree from Cornell, and then you went on to fund several companies. Can you bring us back to those days when you were studying industrial engineering at Cornell? What was the environment then for manufacturing? And what was it that brought you into the thought that you would start engaging sort of entrepreneurial software development in manufacturing of all fields? RICK: Just to be clear, I barely graduated. [laughter] So I had a fantastic time in college. But that was when I think we thought of engineers as mechanical engineers, or chemical engineers, the physical aspects of making things, building things, vending product as opposed to...I think software and technology was kind of a nascent concept there, at least certainly in manufacturing. But I actually switched degrees from mechanical engineering to operations research mid-stride there, realizing that looking at pieces of broken metal under a microscope wasn't for me. So I graduated. My degree was in operations research, and actually, my first position was at a very progressive steel company called Lukens Steel, doing essentially industrial engineering work. However, this was what? 1985, dawn of the PC, dawn of a new gen of computing. And some opportunities opened up there to kind of take on some additional responsibilities that involved applying computing to simulations and optimization models, all the stuff that I studied but never thought I'd actually practice. So I'd spend a lot of time in the local library checking out software, take the disc home, teach myself to code. An opportunity then opened up to go into steel plant operation. So I used to run a heat-treating process. And that's one thing that a university degree won't prepare you for, having 15 steelworkers working for you. That's where you get a real education. You also quickly realize that the exception is the rule on the manufacturing floor. And we'll talk later about how it gave me a great appreciation of the importance of the role of people in this whole process and not just technology. But yeah, I spent a few years in that role and then moved back over to an industrial computing group. And we were applying at the time very advanced technology, mini computers, very innovative user interfaces, high levels of automation to some of these processes back at the very site that I worked. And the very operations that I worked at was one of the first places for that. So that's kind of where I got into the technology side of things. But I like to say I was blessed and lucky, right? This crusty, old steel company happened to be very, very committed to investing in technology. And it was a learning opportunity for me. And then, across the years, I moved into systems integration. I did some stuff in discrete manufacturing. I had the opportunity; again, luck sometimes happens here, to work for arguably the first well-known company in the industrial software space company called Wonderware, first IPO in the space. And I joined very early, which is kind of cool. TROND: The Wonderware story is somewhat famous for people inside of manufacturing, but just in case, there are some listeners here who don't really appreciate how early Wonderware was. What was the situation when you created your first product? And why, in your account, has it become so emblematic of that early-early era? And what year are we talking about exactly when that entered the stage with Wonderware? RICK: So late '80s, early '90s Wonderware came on the scene. I joined in; I believe it was '93. And my role there was actually in sales. So you'll find that a lot of my life experiences are all the elements that help build a successful business: sales, marketing, technology. So the founding team there...and there'll be a circle of life moment here in a little bit when we talk about how ThingWorx came to be. The two key co-founders there, Dennis Morin and Phil Huber, recognized the value. And they harnessed the PC revolution and Microsoft Windows. So we're talking Wayback Machine when Windows looked like the Mac user interface. There wasn't a lot of PC application on the plant floor. There were some very interesting companies that I had worked with, competitors to Wonderware but a bit earlier companies like [inaudible 7:28] But we were just kind of at that inflection point where people were comfortable with the role of the personal computer as this kind of human interface to all the automation systems that we had. What Dennis and Phil did was really twofold. And this, I think, ties into a lot of the innovation we're seeing today is they democratized the ability to build applications. They made it easy and fun. So the whole experience wasn't coding; it was very visual. It leveraged kind of a drag and drop experience. You didn't need to understand software to apply it. You could build these incredible applications literally in minutes or hours, connect them to the physical world. I don't know if you've ever seen some of the classic applications they've built. But they're those process mimics, very dynamic graphics that represent the physical world. And I learned a lot during that period about the importance of two things: one is ease of use and empowering others to build applications, particularly in the manufacturer domain. Second was, ironically, the importance of marketing. If there's one thing, that company did extraordinarily well in addition to having a great product was getting the message out there, maintaining a larger-than-life image. And the company grew rapidly to 5 million, 10 million, 15, 20, and on and on, and then IPOed. But there wasn't anybody in history that didn't know the name. Go to a trade show...this is a company that kind of put some perspective. I think the first year I was there; we did about 20 million in revenues. We spent about a million-five on a party. That's kind of the priorities were well balanced there. But what an extraordinary group of people to learn from; I developed lifelong mentors and friends at that company that fast forward to my last company, some of those same people came and joined my team. So it was a complete honor to work with them again, so yeah. TROND: So back in those days, what was it that Wonderware apart from the marketing side, and like you said, the menus and things...first of all, who was the target audience at this point? Was this still process engineers that were doing this, or was it still the IT department managing? RICK: Typically process engineers, and that was the democratization, taking it out of that...let's go back to my time in the steel industry. We were writing Fortran code, PL/M code. We were writing code. We were creating database schema, all the kinds of classic development processes. And it was part of a corporate IT function. Now, this shifted to empowering two main groups, process engineers inside these manufacturing companies and, secondly, a new breed of systems integrators that were very, very focused on this automation domain. So historically, they may have done the physical automation, the PLCs, the actuators, sensing distributed control systems. Now they were able to take on this role. Two other things happened. Just prior to the advent of things like [inaudible 10:42] and Wonderware, that user experience was physical gauges, and push buttons, and things like that, and sliders. Now, it became digital. In a way, this was almost like magic at the time. It's virtual reality. It's like a lot of people the first time...I'll never forget my mother the first time she played solitaire on a PC and that virtual card dragging. It was just utter magic. Well, similar experience here, right? People were able to reproduce these and rapidly reconfigure. But to your point, I would say, yeah, it was those in-house process engineers and the systems integrators that helped implement these systems. TROND: Were you all aware of how innovative you were? I mean, clearly, the marketing department thought you were something special. But did you realize at the time how timeless and etched into manufacturing history Wonderware would become later? Were you aware of how far ahead this was? Or were the customers telling you that clearly? RICK: That's a great question. I think it was a combination of both. We had an almost cult-like customer following that was pretty unique, and it created a lot of energy. They knew we were doing something interesting. But we had very legitimate competitors who were also doing super cool stuff. I think another life lesson here was a lot of companies create great products. To bring great products to market at scale is a whole nother task. It's a whole nother challenge. And I think what we had going for us was an absolutely extraordinary distribution channel, global distribution channels, and very energetic, bright people, independent businesses that could sell, support, implement this technology. That allowed us to achieve scale pretty quickly. But the customers were the primary feedback loop. We won all kinds of awards from the trade rags, all that kind of stuff. I definitely think it was the kinds of applications that the customers were building. That always gives you energy when you see that. TROND: Rick, give me another sense of as we're sort of moving to your next company, just bring us back to that time with the early years of Wonderware. What were some of the things that were challenging to you on the application side then that today we would laugh off and it would just be like a line item? What were some of the things that were really complicated that you were so proud of having accomplished? RICK: Well, let's just take the obvious, which is sort of the inverse of Moore's law. If we turn the clock back that many years, we have half as much compute power every year. And to have a very graphical dynamic user experience, it had to be reliable. I would not underestimate the incredible work that that development team did to take not only a new product in what we built with InTouch, which was the product at the time but also Windows itself. It wasn't evolved. It wasn't mature. It certainly wasn't targeted at these kinds of mission-critical applications. So those were the kinds of things you had to work with. You had to make it robust, reliable, and take advantage of very, very limited compute and visualization capability at the time. It changed the modalities by way...people typically, you know, we were all used to keyboards at the time. Now it's touch; it's a mouse. It's a different means of interaction. And then how do you bring that? Some interesting challenges. Like, I'm a task worker down on the floor in protective equipment and gloves, and how do I interact with that? So all kinds of creative stuff to try and bring a whole new modality of human interaction to a pretty demanding segment. TROND: So what then happened to you? What happened around you leaving Wonderware and moving on to the next challenges? Because you've also had a foray in larger companies, but then you immediately went back to the startup world. Give me a sense of what was your thinking then? RICK: Sure. So there was a little detour as there are often in our careers. [laughs] I left and experimented. I actually came back to Wonderware a second time prior to my first startup in a product management role. I got to see M&A. So we got involved in a couple of key acquisitions that I was intimately involved in. So that was another learning experience for me. Then I saw this opportunity at a level above the Wonderwares of the world, of the OSIsofts of the world, of all these kinds of operational systems that we had. They were islands. No one had that holistic view, a superviso…

Full show notes at the publisher

Episode 86: Augmenting Industry: Reflections on Season 2 Jun 29, 2022

Show notes

Welcome to episode #86 of the Augmented Podcast (@AugmentedPod). Today's episode will be a reflection on Season 2. Join host and futurist Trond Arne Undheim (@trondau) as he reflects on season 2 of the Augmented podcast, diving into a few highlights from the season.

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What’s next in the digital factory? Who is leading the change? What are the key skills to learn and how to stay up to date on manufacturing and industry 4.0? Augmented is a podcast for industrial leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (@trondau), and presented by Tulip Interfaces (@tulipinterfaces), the frontline operations platform.

In Season 2 we honed in, covering a specific topics relevant to manufacturing, such as marketing, frontline operations, reshoring, digital lean, startups, supply chains, pricing strategies, the manufacturing software market workers, the low code/no- code issue, diagnostic manufacturing, operational data, life science manufacturing systems, the industrial tech transformation outlook, the future factory, the evolution of lean, and industrial interoperability. As you can see, these ranged from technical topics to HR to investing to management principles--all of which go into operating and innovating in manufacturing and industrial tech.

Guests featured in this episode:

Joe Sullivan (@sullivan_joe), host of The Manufacturing Executive podcast and founder of Gorilla 76 (@gorilla76)
Lydia M. Di Liello (@LydiaDiLiello), CEO and founder of Capital Pricing Consultants, and co-host of The WAM Podcast: Empowering Women in Manufacturing and Business. (@wam_podcast)
Yossi Sheffi (@YossiSheffi), Director, MIT Center for Transporation and Logistics (@MITSupplyChain)
Harry C. Moser (@reshorenow) founder and President of the Reshoring Initiative
Dr. Gunter Beitinger (@beitgugb) (@Siemens) SVP of Manufacturing at Siemens AG, Head of Factory Digitalization and Head of Product Carbon Footprint/SiGreen

Thanks for listening. If you like the show subscribe to augmentedpodcast. co or on your preferred podcast player. And rate us with 5 stars. If so, let us know by messaging us your thoughts. Hopefully, you'll find something awesome in this show or in other episodes. Please, if you do, let us know by messaging us. We would love to share your thoughts with other listeners.

The Augmented podcast is created in association with Tulip, the connected frontline operations platform that connects the people, machines, devices, and the systems used in a production or logistics process in a physical location. Tulip is democratizing technology and empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at Tulip.co

Please share this show with colleagues who care about where industrial tech is heading.

To find us on social media is easy, we are Augmented Pod on LinkedIn and Twitter, and Augmented Podcast on Facebook and YouTube:

LinkedIn: https://www.linkedin.com/company/augmentedpod
Facebook: https://www.facebook.com/AugmentedPodcast/
Twitter: https://twitter.com/AugmentedPod
YouTube: https://www.youtube.com/channel/UC5Y1gz66LxYvjJAMnN_f6PQ

See you next time. Augmented--industrial conversations that matter.

Special Guests: Dr. Gunter Beitinger, Harry C. Moser, Joe Sullivan, Lydia M. Di Liello, and Yossi Sheffi.

Episode 85: Industrial Cloud Interoperability Jun 22, 2022

Show notes

This week on the podcast, (@AugmentedPod) we have Leon Kuperman, CTO of CAST.AI (@cast_ai) Futurist Trond Undheim hosts (@trondau), this is episode #85 of Season 2 and the topic is: Industrial Cloud Interoperability. In this conversation, we talk about cloud interoperability, whether it exists, why it's needed and what it could accomplish. We also get into the technical underpinnings, such as Carita, containerization and the outlook for public private and hybrid clouds as well as the vendors that supply advanced infrastructures.

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What’s next in the digital factory? Who is leading the change? What are the key skills to learn and how to stay up to date on manufacturing and industry 4.0? Augmented is a podcast for industrial leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim, and presented by Tulip, the frontline operations platform.

Trond's takeaway: A.I. is a silent enabler of collaboration between systems, which by the same token affects collaboration between people and organizations, its technical complexity often limits the debate about the subject in non-specialist circles, which is a shame given the pivotal importance of cloud infrastructure in today's computing environment, the relative progress made on interoperability will determine the course of products, flexibility, security, and productivity.

Thanks for listening. If you liked the show, subscribe at Augmented podcast.co or in your preferred podcast player and rate us with five stars. If you liked this episode, you might also like episode #17 Smart Manufacturing for All. Hopefully you'll find something awesome in these or in other episodes. And if so, do let us know by messaging us, we would love to share your thoughts with other listeners.

To find us on social media is easy, we are Augmented Pod on LinkedIn and Twitter, and Augmented Podcast on Facebook and YouTube:

See you next time. Augmented--industrial conversations that matter.

Special Guest: Leon Kuperman.

Episode 83: Factory Journalism Jun 15, 2022

Show notes

This week on the podcast, (@AugmentedPod) we have Michelle Segrest, journalist, content creator, and owner of Navigate Content, Inc. (@michellesegrest) Futurist Trond Undheim hosts (@trondau), this is episode #83 of Season 2 and the topic is: Factory Journalism.

Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. Technology is changing rapidly. What’s next in the digital factory? Who is leading the change? What are the key skills to learn and how to stay up to date on manufacturing and industry 4.0? Augmented is a podcast for industrial leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim, and presented by Tulip, the frontline operations platform.

Trond's takeaway: Factories are enormously diverse depending on industry country, region, and they also change over time. More importantly, they are thriving in a way that the public doesn't always appreciate. So getting inside a few factories from time to time might be the best service you could do yourself or for your kids to reorient yourself toward the importance of manufacturing or the important activity of making things, which has not gone away just because of the digital revolution.

Thanks for listening. If you liked the show, subscribe at Augmented podcast.co or in your preferred podcast player and rate us with five stars. If you liked this episode, you might also like episode #79 The Future Factory. Hopefully you'll find something awesome in these or in other episodes. And if so, do let us know by messaging us, we would love to share your thoughts with other listeners.

To find us on social media is easy, we are Augmented Pod on LinkedIn and Twitter, and Augmented Podcast on Facebook and YouTube:

See you next time. Augmented--industrial conversations that matter.

Special Guest: Michelle Segrest .

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