Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers.
In episode 32 of the podcast, the topic is: Visualizing Factories. Our guest is Lior Zadicareo, Chief Revenue Officer at Visual Factories
In this conversation, we talk about The complex reality of industry 4.0, how the future is a product of the past, and what will change in the life of an operations manager of a manufacturing company over the next few years.
After listening to this episode, check out Visual Factories: http://www.visual-factories.com/ as well as Lior Zadicareo's profile on social media: https://www.linkedin.com/in/lior-zadicareo-905572/
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:
Trond's takeaway: "Visualizing manufacturing means making what machines do visible. More than that, it means starting to understand what humans do on the shop floor. Even more ambitiously, we have to figure out how humans and machines can work better together."
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 27, Industry 4.0 Tools or episode 25, Industrial Tracking: Drones, Warehouses and Theme Parks. Augmented--industrial conversations.
[00:00:00] Trond Arne Undheim, host: [00:00:00] Augumented reveals the stories behind a new era of industrial operations, where technology will restore the agility of frontline workers. In episode 32 of the podcast topic is visualizing factories. Our guest is Lior Zadicareo, chief revenue officer at the visual factories. In this conversation, we talk about the complex reality of industry 4.0 and how the future is a product of the past and what will change in the life of an operations manager of a manufacturing company.
[00:00:34] Over the next few years, Augmented is a podcast for leade rs hosted by futurist Trond Arne Undheim presented by Tulip.co the frontline operations platform and associated with mfg.works. The manufacturing up-skilling 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 AM us [00:01:00] Eastern time every Wednesday, Augmented the industry 4.0 podcast.
[00:01:05] Leo. How are you today?
[00:01:07]Lior Zadicareo: [00:01:07] I'm good. How are you?
[00:01:10] Trond Arne Undheim, host: [00:01:10] Yeah, I'm good. I'm always good. I'm always up for a conversation.
[00:01:13] Lior Zadicareo: [00:01:13] Same here. I'm really excited about this conversation today.
[00:01:20] Trond Arne Undheim, host: [00:01:20] Leo, you are a software person, product person. You've been working in a bunch of different mostly I guess, software companies and product roles here. MBA in marketing from, Tel-Aviv obviously a big background in Israeli companies, but also computer science from Cal state. So you have some background in U S what was it that got you into your current situation, where you're actually very focused on manufacturing.
[00:01:45]Lior Zadicareo: [00:01:45] I think it's a combination of factors. Over last 10 years, I was very interested in actually even more than 10 years, I was very interested in product management and, product management went through sort of an evolution over the last decade [00:02:00] or a little more. And when you think about it, When you think about product management, one of the key things that you have to keep in mind is it need to look into the future and think not only about, okay, worst technology today, but where is technology going to take us in two, three years from now, maybe five years, maybe if you really want to go wild on this, maybe 10 years into the future.
[00:02:27] And, and I was thinking about this for the last let's say three, four years, and I'm just trying to think where is going to be the most or where are we going to see the most most of the changes. As a result of technology affecting specific areas and specific industries.
[00:02:46] And I actually mapped out a few and manufacturing was actually one of the top ones where I think things are going to be changing. And I think it's exciting to be in places where things are going to be changing. So this is how I moved into manufacturing then. Three, [00:03:00] four years ago understanding that Manufacturing has many varieties.
[00:03:05]There's the industrial side and there's and there is the more, the consumer side of manufacturing as well. We're also putting a lot of a lot of information and a lot of a lot of different types of processes into one category, but obviously there's many things that we need to consider when we talk about Manufacturing, but I thought that this is really an exciting place to be.
[00:03:27] And I was looking for how, what is the best way to to do it. And then I joined a company that is actually a visual factories, which is a company which is very active or has been active for the last seven years in in manufacturing, trying to bring industry 4.0 into manufacturing.
[00:03:44]Trond Arne Undheim, host: [00:03:44] Let's speak about that for a second. What does visual factories do? So I, from what I've understood, it's definitely cloud-based monitoring of machines. It's a cool name, visual factories. So it's essentially it's more than just monitoring then it has to do with [00:04:00] visualizing in some way the way that Manufacturing factories operate also.
[00:04:05]Lior Zadicareo: [00:04:05] I think that it's visualizing in a very in a very concrete sense. And when I say, visualizing I'm talking about making, what is the process and what is happening with machines? Very transparent and very measurable. So what visual factories does is. When you look at the machine, when you just look at visually you're, you may not really understand what's going on there.
[00:04:30] Okay. So what we try to do is really understand the essence of what is happening with the machine. So visualize it, incentives, associating metrics with the machine. So how fast the machine is going, is it working or not working? Is it working at the pace that you expect it to? And obviously this is like the base level.
[00:04:50] You can take it from there to how effective you are measuring OEE and things like that. So it goes back into the base of understanding what a machine is doing, [00:05:00] capturing the essence of what is happening with it, with a machine, and then turning that into the right information that can actually make us, enable us to make good management decisions.
[00:05:10] Trond Arne Undheim, host: [00:05:10] You said you joined this company a little bit into it. I know it was founded in 2014 and you got a bunch of clients already. Would you do, can you tell me a little bit about the origin of the company or at least when you joined and what's been that sort of the change since you,
[00:05:26] Lior Zadicareo: [00:05:26] actually the founders of the company have come from manifests so unlike myself was, my, my background is mainly software. The founders of the company came from manufacturing background. So those are the people that were working with manufacturers for, a couple of decades and realized that to do process improvement and to take process improvement within manufacturing, to the next level, you need to go through digital transformation.
[00:05:54] You need to take the machines into a different level, capture the right information, try to look at [00:06:00] what kind of of data you can look in front of, you can look at and then try to see what operations you can do differently and how can you optimize those those processes.
[00:06:10] So it, it came from manufacturing understanding that the manufacturing processes, or it can be very complex at a machine level, but also on an inter machine level, and then trying to build tools that will enable manufacturers to optimize that process.
[00:06:27]Trond Arne Undheim, host: [00:06:27] I noticed on your website, when you side clients, you actually site engine manufacturers.
[00:06:33] So I sold rolls Royce and Pratt and Whitney. So you're actually partnering directly with the people that make these machines, as opposed to just with the companies that have the machines on the factory floor.
[00:06:45]Lior Zadicareo: [00:06:45] We do both. We're looking at the manufacturers from a manufacturing point of view.
[00:06:50] So when you do, what do you manufacturer for manufacturers? You also do going through a manufacturing process. We're looking at Pratt and Whitney and rolls Royce [00:07:00] as manufacturers, trying to optimize their processes to make sure that they are working at the right speed at the right pace, trying to make sure that they have the right OEE and trying to strive to make sure that the machines are working, as much as possible and, or as in an optimal way.
[00:07:16] Trond Arne Undheim, host: [00:07:16] This is a pretty global business. But Israel is not an enormous market. What are you thinking as visual factories about that? And what is your kind of current client balance between, Israel and the worldwide market
[00:07:28]Lior Zadicareo: [00:07:28] we started with with a local market, but we're, we have more non Israeli companies at this point than Israeli companies. So we're far beyond the threshold of being an Israeli company, we're a global company most of our customers are actually international. Spread mostly through Europe and north America.
[00:07:49] Trond Arne Undheim, host: [00:07:49] Yeah. It, it is interesting with this Israeli startup nation because, You're forced to go international.
[00:07:55] It's just a question of its markets to go to first.
[00:07:59] Lior Zadicareo: [00:07:59] Yeah, no, [00:08:00] Israeli is a fairly small market, it's and I think one of the most interesting thing, is that the balance between early stage startups like ourselves and the number of manufacturers in Israel is very high.
[00:08:16] So there is there is quite, you almost have to expand internationally very quickly because the local market gets saturated very quickly. And there's a lot of software in Israel and it's it's turning into a point where to expand. You need to go global.
[00:08:34] So that's what we've been doing for the last few years, even before I joined.
[00:08:39] Trond Arne Undheim, host: [00:08:39] When you do go global, do you find that industry 4.0 is, and by the way, I don't know if you use that term a lot, but you're communicating what you do, but do you find that this idea that we have been talking about that manufacturing is not only exciting, but there, there are opportunities here to make some interesting changes and productivity [00:09:00] improvements and more is that starting to become something people are excited about or is it an uphill battle still to convince the broader public that manufacturing is this place to be.
[00:09:12] Lior Zadicareo: [00:09:12] And I think that the, there is a complex answer to this.
[00:09:16]I think different manufacturers are very different in that essence. I think some manufacturers are, they totally get it. So you explain to them the need for going digital. And it's almost okay, they're right there they understand it and you don't need to really go through the motions or go through the explanations they know that they need to go digital. On the other hand, there are some people that are they may have heard about industry 4.0 they understand what is digitalization in as a process in general, but they're still not have not internalized what it means for them. So I think, and there's, there's a wide spectrum of different manufacturers in [00:10:00] between.
[00:10:00] And I think that the challenges are the answer to your question is that so many factors are there, especially the big ones, they're going very fast towards industry 4.0, and may I say maybe too fast. Because I think there's such thing as going too fast into a industry 4.0, and that happens on a high end of manufacturing.
[00:10:21] So the big corporations who are putting everything in digital and then their problem is not having too little information about the machines. It's about having too much information about machines and then you need to consolidate. So this is like one area, but I think most of the manufacturers are actually not there. They're struggling with what industry 4.0 means for them. And, especially when you think about it, some of the machines that manufacturers are using today have been produced, in the eighties, the seventies sometimes even the forties and fifties. Manufacturers are actually using machines, which [00:11:00] are quite old.
[00:11:00]And they're still very much effective. So I think one of the key things is trying to see how we bring industry 4.0 into manufacturers or a turn, not necessarily, completely new machines. Which are digital and are very easy to get to gain access to the metrics and the parameters within the machine.
[00:11:20] So I think that this is a big challenge between different manufacturers.
[00:11:27] Leo, are
[00:11:27] Trond Arne Undheim, host: [00:11:27] you actually arguing that there's some sort of like IOT retrofitting would be possible as well? Or is it, are you simply saying that the reality is that in,many manufacturing firms, you're going to have a discrepancy between, new and old machines and we're going to have to live with those machines for a while. We're not like, there's no point here in scrapping all the old stuff, because it is actually working pretty well.
[00:11:54] Lior Zadicareo: [00:11:54] I think that.
[00:11:58] I think that one of the [00:12:00] challenges that we're facing is what I refer to as almost like demo democratisation of manufacturing. So yes, you, we will have to deal with different types of machines. We cannot assume that everyone is going to replace their machines, in the next. 2 3, 5, 10 years. And keep in mind when I started this conversation, I said we want to look into the future, but when you talk about technology and you talk about technology in the future, usually you take about two years, three years, maybe five years, maybe 10 years. But even the five years is quite an amazing twine time to predict, there is a, I think it was Niels Bohr that was originally at least is attributed to have been to have said predictions are very difficult, especially when you talk about the future. In this context, we don't really know what's happening with technology because the change in technology, the pace of how technology is changing has been so dramatic. Think about it, 20 years ago there was no Google.
[00:13:00] [00:13:00] Or just about or a Google was not. And there was an Amazon is a company that's just slightly over 20 years old and just 15 years ago, there was no iPhone there, no smartphones. And when you look at how technology changes, changes our world, you see how, if you're trying to predict what's going to happen in five, 10 years and all of a sudden Something happens on a technological side when the ability to do things differently, it throws you into a different trajectory altogether.
[00:13:30] So I think that when we take it in this context, when you go and say are we going to be changing machines within manufacturing in five years? I think the chances are that most manufacturers are not going to be changing their machines. So we are, if we want to give an overview one concurrent view of what is happening with with our manufacturing process, we will have to deal with old machines and new machines under the same process [00:14:00] in the same factory.
[00:14:02] Trond Arne Undheim, host: [00:14:02] Yeah, no, it's a great point. I think sometimes when we think about the future, we forget that the past still exists.
[00:14:09] Lior Zadicareo: [00:14:09] Yeah exactly. And it says it happens to us a lot, especially to people like us. We do think a lot about the future.
[00:14:16] Trond Arne Undheim, host: [00:14:16] Yeah. I happen to be one of those futures that think a lot about the past. I think that, it is so important to take into account the legacy that you're dealing with, whether it's culture or actual in this case material structures and but also experience because you can't just take the workforce and say, we're gonna all go digital in some sort of meaningful way with some advanced machinery.
[00:14:39] You, the. It is still not the case, although I think it's the, to your point with democraticization the ambition here with many of these software technologies is to go lower code, which is the term, but essentially, you hire usability and eventually empower workers. So that, that there is less of that training.
[00:14:57] But give us a sense. When you work with [00:15:00] clients now what how important is the training aspect and, even just getting your software rolled onto the factory floor, it must be a process.
[00:15:09] Lior Zadicareo: [00:15:09] Absolutely. And I think it's one of the great challenges that we need to face it's.
[00:15:13]It's you know, I came across this issue of trying to bring technology into an area that was not, tech savvy. And and I've done that a couple of times in the past, the last time I've done, it was actually a few years ago in the education industry. Okay. So when you look at schools and you say, okay look at it the typical school, almost anywhere in the world. That's cool. Looks pretty much the same as it has been for the last 200 years. There's usually a teacher, they in front of the students in the, and their, and they're learning. And when we, and there were a lot of efforts, In this area, like anywhere starting the like around 2000, so like for 20 years, people are trying to change this area.
[00:15:54] And one of the things that we've, that was found is that the key issue is the people. [00:16:00] So the teachers need to be more technology oriented to be able to utilize all these great tools that have been happening. And I think it's very much the same with manufacturing. So you cannot Disregard the human aspects.
[00:16:14] So the, one of the key things for visual factories is to make sure that it's very, it's providing an excellent user experience. So we cannot, the people that are using our systems are people that need to look at it, almost like it's as if it's a, it's an app on your iPhone, something that's you almost need to think about it is almost that gamifying a process.
[00:16:40]And in that respect, I think a lot of people are talking about let's retrain the manufacturing people or the people on the manufacturing floor involved in the in that process. And I think the challenge is on both sides. So obviously yes, absolutely there needs to be training.
[00:16:56]Lot of the people that have, are used to just [00:17:00] utilizing the machines and working with machines we'll need to work with with software and risk screens. So that's one part of the challenge and yes, we are looking at training and one of the things we're doing is like a complete training package when we go onboard and visit a customer or when we implemented a system at the customer side.
[00:17:18] But the second part, and I think that. Probably one of the important parts of this is making sure that the software is very easy to use and is fit to the people that are using it. We need to understand, as I said, many of the people that create the visual factories or started visual factors can from manufacturing, you understand, you need to understand it.
[00:17:37] The people on manufacturing floor are not seeing, sitting in an office with a big screen TV, and they're just typing away. They are in a place where it's not very easy or not all the time, easy to use a machine, a computer or a tablet or things like that. So the interface needs to be very easy.
[00:17:54] Trond Arne Undheim, host: [00:17:54] Yeah, I was going to say, I think what you're saying is important about where the founders of your [00:18:00] company came from, because if you think about the life of an operations manager today. Certainly, they don't come from software, not many anyway. Historically they certainly didn't.
[00:18:11] And even engineers who are assisting in a parts of efficiency, gain processes, or even working on lean processes, none of them were educated in a software defined educational environment yet. They might be graduating today. They see air, but even five years ago they weren't right.
[00:18:33] Or at least offer, it was a smaller part of their training. So this whole sea change cannot happen as fast as technology is happening. So that's just mind boggling, but if you are new, you must speak to a lot of these operations managers. How do you deal with this? So you're dealing with a technology that's not native to you.
[00:18:53] You're dealing with a workforce that has zero exposure to this kind of technology apart from, as [00:19:00] consumers, I'm sure they, they could have iPhones or, they could have advanced technology like the rest of us, but they're not used to it in their own work context.
[00:19:07] What do you say to, to that? Where do you start with the training?
[00:19:11]Lior Zadicareo: [00:19:11] I think there's two factors that help us out in that way for us. I think that everyone is exposed to new technology so everybody has their iPhone sometimes people are exposed to technology beyond that, some people are exposed to technology through their kids. So we're all are almost overwhelmed with technology.
[00:19:31] Trond Arne Undheim, host: [00:19:31] Yeah. I have kids in the metaverse, I have people on Fortnite and roadblocks.
[00:19:35] Lior Zadicareo: [00:19:35] Exactly. It's amazing. Cause I say, thanks, for that, especially with COVID, my, my son is 13 and he spent obviously overlaps here a lot of time at home, but, in a way it was good cause otherwise, it was. What would these kids do? So what they have done, 10, 15 years ago, what would they have done? Yeah. They, can't all be who knows, [00:20:00] Lego for sure. But, it's limited what you can do in interacting with other people, especially.
[00:20:06] So I think that's one way of understanding that, people are exposed to technology.
[00:20:11] They know that technology is important and they see how technology changes the world. And a lot of times they just pointed out sometimes we don't even understand to what extent technology changes our world, but think about like simple applications like that. What's up, I see how it.
[00:20:26] If you remember, 20 years ago, if you would call someone and they wouldn't pick up the phone, you would have a problem. And then, and then came to the voicemails and all of a sudden you could leave them a message and then they would get back to you. And there was a whole talking about Israeli industry, there was a lot of Israeli companies that were actually built on the ability to do voicemails and all of a sudden.
[00:20:46] We don't use oil smells anymore. So it's all about different type of communication. So I think communication is changing our world and I think one of the key things in you were asking about the operations managers I think that [00:21:00] usually those people are very smart and they understand how technology is changing their world, not necessarily based on like exposer within manufacturing, but just by, by looking at the world and understanding that technology is there. And obviously it will have an impact on their business as well. So this is what is helping us. Plus I think that, you are as a manufacturer, you're always trying to see how you can do things better.
[00:21:29] How you can, increase your profit margins, how you can gain more customers. How can you tell your customers in better ways when the delivery is going to be ready? How can you place your your your products in a better way? So when he's trying to improve, just to be very honest, Our software and I'm not just saying about visual factors. I think like everything that is utilized within the digital transformation or industry 4.0 is really there to support other processes. We are trying to make Manufacturing [00:22:00] better. We're trying to make it easier to be more profitable. We want to meet. We want to support better management decisions.
[00:22:08] So having said all that, I think that we fall into a place where people are trying to utilize it, us to improve their own business. And this where it says, when I talk to people, this is where it goes to. It's okay, how can I improve your business or I, how can I help you improve your business?
[00:22:27] Trond Arne Undheim, host: [00:22:27] Any industry developments that you're particularly excited about? In the coming year, it's obviously been a strange year behind us and I know Israel has a sort of fought off the epidemic the pandemic in a pretty efficient way. But you are operating in a very complicated global environment, even that if that be the case, that's true.
[00:22:48] What are you excited about though? As you're going into, th this next year what are some of the things that you think will be good, for your company and, to this discussion on industry changes?
[00:23:00] [00:23:00] Lior Zadicareo: [00:23:00] I think one of the key things for us in this business for how we can improve manufacturing.
[00:23:07] I think that different types of software are sometimes classified under in artificial intelligence, deep learning is one of the key things that we'll need to bring on board and into the manufacturing space. I don't think it's very clear and I think that's, it's. In a way it's good that it's not clear.
[00:23:26] It just means that, we have many paths that we can take and we were in an art chartered territory. So I'm really excited about that. I think there's a lot of things that can happen in manufacturing that will probably almost it's almost like climbing up a big step forward.
[00:23:44]Because I think that bringing what we do today, as far as being able to get measurements and metrics on the machines and then tying that with with processes that they can actually make machines and processes [00:24:00] smarter. I think that could be very exciting. That means that we'll need to get AI processes, deep learning processes into manufacturing process optimization.
[00:24:09]Trond Arne Undheim, host: [00:24:09] What about, we've talked a little bit about the future being a complicated thing to predict, but what is next for the factory as such or even, digitalization of the factory? Where do you think this is going? And how fast are we? Are we going there? We've talked about the things that are slowing us down.
[00:24:26] We've also talked about some of the prospects of AI and other things, really speeding things up. What will the next decade look like for you? Is this going to be the decade that truly transforms manufacturing or is it going to be more other revolutions. It's not going to be a, it's not going to take a year or a decade.
[00:24:45] It's, in history we call it a revolution. But in actual fact it was a long process.
[00:24:50]Lior Zadicareo: [00:24:50] When you go through a revolution, you don't necessarily know that you're going through a revolution. If you zoom out and you say, okay the third decade was, it was really very [00:25:00] transformative and many changes have occurred.
[00:25:03] I think that it's, again, it's very difficult to predict, but I think there are going to be many changes in the next decade. I think that when we're in 2021 today, I think in 10 years from now manufacturing for the large part is going to be very different than it is today. And I think it's going to be in one way, a lot more, a lot smarter, lot more new technologies, trying to look at the process based on the information coming from the machines, not just, not people looking and saying, okay, this machine needs to operate this way and this machine needs to operate that way. I think it's more information that will be coming from machines. And then he will have some kind of a process generator, a base that will say if you move this machine over here, or if you buy another machine or if you Take these two machines and use them in a different way.
[00:25:54] I think that's one of the great transformations that will happen. And also, I think it will [00:26:00] affect the industry in, in, in several ways. I think a lot of a lot of focus is going to be shifted. To what I would refer to as smart industries, but still in context. In context of what we said before is that the machines would not necessarily need to change, but there will be another layer that will make this process smarter.
[00:26:20]So I think there, I think that one of the key things for manufacturers to realize that, that it's going, if I had to label it, it's it would say, I would say it's going beyond the machines. It's going beyond the very little thing that you're doing and trying to expand on a different level
[00:26:38] Trond Arne Undheim, host: [00:26:38] that makes it more nebulous though, Lior, because once you start getting into what people traditionally had called soft, right?
[00:26:46] So it's oh, it's about people or it's about soft skills or whatever you want to label it. It becomes a bit nebulous. So which way is this going to go?
[00:26:56]Lior Zadicareo: [00:26:56] Let me try to be a little more concrete. I think one of [00:27:00] the things that a lot of people do when they talk about the future, as they make it a little more vague or enable us, and then and then, you're probably right, because you're saying things return very general.
[00:27:09] So what I said is very, but I still think there is there, there is a great importance to understanding the structure. Before we get into the concrete things so let me say this. I think one of the areas that is going to be changing is how workflow within a factories is going, for example.
[00:27:34] And I think that, Try to think of a decision that that an operation, this manager, or maybe CEO of of midsize company needs to make such as, do I need to buy more machines or do I need to replace certain machines with others? I think this is going to be a decision that is not going to be an intuitive decision as it is today.
[00:27:57] I think it's not going to be okay. Let's look at the reports and [00:28:00] see if we have orders for X amount of products, therefore we need another machine. I think it's going to be based on how do I optimize my process. And that will be something that will be external to to the machines themselves.
[00:28:14] But the information will come to me from the machines to be able to support that decision. And so that's one one type of concrete example of where it's going to to go. Plus you're going to need to tie into this process different trend and Trends and assumptions about, what what my capacity needs to be.
[00:28:33] So I think those are the two things. One, one things is very external. So what are your predictions as far as the future demand is for your company? And the other one comes from the machines as far as, okay. How do I meet that future demand? And I think that is going to be, those are gonna be two processes that are going to be highly supported By technology by different types of technologies.
[00:28:57] Trond Arne Undheim, host: [00:28:57] They are fascinating. It's a great [00:29:00] concrete. Yeah, no, that was much. That was much clearer to me. And I think it's clarifying for this discussion too, to have an idea of, not just the technologies, but the kinds of processes that are going to need to change. And so that, that should be useful if you are, in operations in, in any manufacturing function, whether it's it's the, this or that or the other.
[00:29:19]Thanks. Thanks a lot,Lior yeah, you and I we'll meet again tomorrow and we'll have more conversations, so there's a, it's just the beginning. Thanks lot.
[00:29:28] Lior Zadicareo: [00:29:28] Thank you. Bye bye.
[00:29:32] Trond Arne Undheim, host: [00:29:32] You have just listened to episode 32 of the Augmented podcast with hosts Trond Arne Undheim. The topic was visualizing in factories our guest was Lior Zadicerao , chief revenue officer at visual factories. And this conversation, we talked about the complex reality of industry 4.0 and how the future is a product of the past and what will change in the life of an operations manager of a manufacturing company over the next few years.
[00:30:00] [00:30:00] My takeaway is that visualizing manufacturing means making what machines do visible more than that. It means starting to understand what humans do on the shop floor. Even more ambitiously. We have to figure out how humans and machines can work better together. Thanks for listening. If you liked the show, subscribe at Augmented podcast.co or in your preferred podcast player, watch us on YouTube and read us with five stars. And if you liked this episode, you might also like episode 19 machine learning in manufacturing episode 27, industry 4.0 tools or episode 23, industrial tracking, Augmented industrial conversations.
Chief Revenue Officer at Visual Factories
Lior is a Product Management and Marketing expert with 30 years of experience in hi-tech. He built the Marketing organization as VP Marketing and Business Development at Traffix Systems (sold to F5 in February 2012). He created the Product Management group at Amdocs, the first to assimilate Product Management methodologies, resulting in a change in the approach to Product Management. HIs specialty is Software Product Management. Lior has an MBA in marketing from Tel Aviv University and a B.Sc in Computer Science from Cal State.