IoT Coffee Talk: Episode 329 - "Just the Two of Us" (Fall in love with manufacturing)

Hola, dude. Hola, dude. >> Just the two of us. >> Just the two of us. >> Just the two of us. >> I know. [music] Do you have electric >> I know. [music] Do you have electric >> I know. [music] Do you have electric guitar? guitar? guitar? >> I don't have electric guitar. I don't >> I don't have electric guitar. I don't >> I don't have electric guitar. I don't sing. It's a disaster. sing. It's a disaster. sing. It's a disaster. Wow. Wow. Wow. >> You can ruin it with some hip-hop or >> You can ruin it with some hip-hop or >> You can ruin it with some hip-hop or whatever. You [music] know, whatever. You [music] know, whatever. You [music] know, >> hip-hop. We need some hip-hop. >> hip-hop. We need some hip-hop. >> hip-hop. We need some hip-hop. Absolutely. I think that's what you Absolutely. I think that's what you Absolutely. I think that's what you should go with. should go with. should go with. >> Say what? >> Say what? >> Say what? >> Yes. [music] >> Yes. [music] >> Yes. [music] >> Change the change the style. Change the >> Change the change the style. Change the >> Change the change the style. Change the mood. mood. mood. >> Yeah. [music] Look like we got yacht >> Yeah. [music] Look like we got yacht >> Yeah. [music] Look like we got yacht coming in here. This is good, I think. coming in here. This is good, I think. coming in here. This is good, I think. [music] There we go. [music] There we go. [music] There we go. >> There you go. Haven't seen him in a >> There you go. Haven't seen him in a >> There you go. Haven't seen him in a while, huh? while, huh? while, huh? Slowly coming in. [cheering] Slowly coming in. [cheering] Slowly coming in. [cheering] >> Hey. Hey. >> Hey. Hey. >> Hey. Hey. >> Hey there. [cheering] >> Hey there. [cheering] >> Hey there. [cheering] >> You can feel it. You're almost here. >> That's Zoom is bringing >> That's Zoom is bringing >> Zoom is bringing people slowly, you >> Zoom is bringing people slowly, you >> Zoom is bringing people slowly, you know. know. know. >> It is >> It is >> It is >> building the suspense.

>> building the suspense. >> building the suspense. >> It is slow motion for sure. >> It is slow motion for sure. >> It is slow motion for sure. What's going on with you, dude? Man, What's going on with you, dude? Man, What's going on with you, dude? Man, it's been a while. it's been a while. it's been a while. >> Yeah. Oh, yeah. It's been a while. >> Yeah. Oh, yeah. It's been a while. >> Yeah. Oh, yeah. It's been a while. It's uh been busy time, but um It's uh been busy time, but um It's uh been busy time, but um for one weird reason today, Friday, is for one weird reason today, Friday, is for one weird reason today, Friday, is just like completely open today. So So just like completely open today. So So just like completely open today. So So I'm thinking got it on the calendar. I'm thinking got it on the calendar. I'm thinking got it on the calendar. Hey, let's see how you guys are doing. Hey, let's see how you guys are doing. Hey, let's see how you guys are doing. You're always fun to be with. You're always fun to be with. You're always fun to be with. >> Well, we're all about fun. >> Well, we're all about fun. >> Well, we're all about fun. >> Exactly. You're all about manufacturing, >> Exactly. You're all about manufacturing, >> Exactly. You're all about manufacturing, which is good. which is good. which is good. >> Everybody's got to be somewhere, right? >> Everybody's got to be somewhere, right? >> Everybody's got to be somewhere, right? >> It's true. >> It's true. >> It's true. >> True. >> True. >> True. >> Manufacturing can be fun. >> Manufacturing can be fun. >> Manufacturing can be fun. >> It can be fun. >> It can be fun. >> It can be fun. >> Yeah. That's why so many young people >> Yeah. That's why so many young people >> Yeah. That's why so many young people are dying. That's why so many people are dying. That's why so many people are dying. That's why so many people want to work in factories. want to work in factories. want to work in factories. >> Not [laughter] manufacturing is different now, right? manufacturing is different now, right? you still have people working there, but you still have people working there, but you still have people working there, but um there's a a total other dimension uh um there's a a total other dimension uh um there's a a total other dimension uh in in in there, which could be fun, in in in there, which could be fun, in in in there, which could be fun, which is all the OT, IoT, and so on, which is all the OT, IoT, and so on, which is all the OT, IoT, and so on, right? [snorts] right? [snorts] right? [snorts] >> So, we'll save it. I'll kick us off for >> So, we'll save it. I'll kick us off for >> So, we'll save it. I'll kick us off for the recording and then Yeah, we'll talk the recording and then Yeah, we'll talk the recording and then Yeah, we'll talk about all this stuff. Yeah.

about all this stuff. Yeah. about all this stuff. Yeah. >> Yeah. [clears throat] >> Yeah. [clears throat] >> Yeah. [clears throat] >> All right. Hey, everybody. Welcome to >> All right. Hey, everybody. Welcome to >> All right. Hey, everybody. Welcome to the 9 millionth episode of IoT Coffee the 9 millionth episode of IoT Coffee the 9 millionth episode of IoT Coffee Talk coming to you live from Mars. You Talk coming to you live from Mars. You Talk coming to you live from Mars. You know, we've we've done some uh what did know, we've we've done some uh what did know, we've we've done some uh what did we call it? They kind of did it in the we call it? They kind of did it in the we call it? They kind of did it in the movie Aliens, you know, where you create movie Aliens, you know, where you create movie Aliens, you know, where you create an atmosphere and all that kind of an atmosphere and all that kind of an atmosphere and all that kind of stuff. Um anyway, stuff. Um anyway, stuff. Um anyway, >> terraform. >> terraform. >> terraform. >> Terraforming. Yes. Yeah. The >> Terraforming. Yes. Yeah. The >> Terraforming. Yes. Yeah. The terraforming technology, the technology terraforming technology, the technology terraforming technology, the technology that Olivier invented turned out to work that Olivier invented turned out to work that Olivier invented turned out to work out great for Mars. And so we're all out great for Mars. And so we're all out great for Mars. And so we're all living here now. It's it's all good. So living here now. It's it's all good. So living here now. It's it's all good. So we're coming live to you. We also solve we're coming live to you. We also solve we're coming live to you. We also solve the light problem with communications. the light problem with communications. the light problem with communications. >> Yeah. So, >> Yeah. So, >> Yeah. So, >> and Mars is flat. Like, it turns out it >> and Mars is flat. Like, it turns out it >> and Mars is flat. Like, it turns out it was flat. Who knew? [laughter] I know. I was flat. Who knew? [laughter] I know. I was flat. Who knew? [laughter] I know. I know. know. know. Yes. Take what we say at your own risk. Yes. Take what we say at your own risk. Yes. Take what we say at your own risk. This is for entertainment purposes only, This is for entertainment purposes only, This is for entertainment purposes only, even though we're all geniuses here. So, even though we're all geniuses here. So, even though we're all geniuses here. So, welcome Olivier and Yan. What is going welcome Olivier and Yan. What is going welcome Olivier and Yan. What is going on? What's Yan? What's going on in on? What's Yan? What's going on in on? What's Yan? What's going on in manufacturing these days, man? What's manufacturing these days, man? What's manufacturing these days, man? What's the latest? the latest? the latest? >> What's the latest?

>> What's the latest? >> What's the latest? Um, you know, there's tons of stuff Um, you know, there's tons of stuff Um, you know, there's tons of stuff going on. Um this is uh in manufacturing going on. Um this is uh in manufacturing going on. Um this is uh in manufacturing in general I I think uh you know we we in general I I think uh you know we we in general I I think uh you know we we all talking about some AI involvement all talking about some AI involvement all talking about some AI involvement robotics whatever but uh but I think robotics whatever but uh but I think robotics whatever but uh but I think general manufacturing still pretty much general manufacturing still pretty much general manufacturing still pretty much the same as we're used to with with uh the same as we're used to with with uh the same as we're used to with with uh IoT being interesting you know skater IoT being interesting you know skater IoT being interesting you know skater systems whatever it's it's the same old systems whatever it's it's the same old systems whatever it's it's the same old same old I think in general but there same old I think in general but there same old I think in general but there are these kind of big thing Tesla are these kind of big thing Tesla are these kind of big thing Tesla factories and Amazon and others that factories and Amazon and others that factories and Amazon and others that that changing the the game a little bit that changing the the game a little bit that changing the the game a little bit uh and and maybe even scaring some uh and and maybe even scaring some uh and and maybe even scaring some people, I think. people, I think. people, I think. >> Oh, I I'm observing I'm observing the >> Oh, I I'm observing I'm observing the >> Oh, I I'm observing I'm observing the same thing. It's the same old I mean, we same thing. It's the same old I mean, we same thing. It's the same old I mean, we are we're talking about AI and what AI are we're talking about AI and what AI are we're talking about AI and what AI can do down there at the edge and can do down there at the edge and can do down there at the edge and automate things or or you know, augments automate things or or you know, augments automate things or or you know, augments safety and whatever. And then you go safety and whatever. And then you go safety and whatever. And then you go there and and you still have this old there and and you still have this old there and and you still have this old fight between it and OT and and and you fight between it and OT and and and you fight between it and OT and and and you want to connect things and no one wants want to connect things and no one wants want to connect things and no one wants to let you do that. And then you look at to let you do that. And then you look at to let you do that. And then you look at the data and you're just like that's a the data and you're just like that's a the data and you're just like that's a big mess. Um you know you expect things big mess. Um you know you expect things big mess. Um you know you expect things to be modern to a certain extent. Last to be modern to a certain extent. Last to be modern to a certain extent. Last customer were to you know they have OPC customer were to you know they have OPC customer were to you know they have OPC way servers connecting a box to that way servers connecting a box to that way servers connecting a box to that want to do discovery. Oh we're not want to do discovery. Oh we're not want to do discovery. Oh we're not implementing that and that and you're implementing that and that and you're implementing that and that and you're just like um okay so so that means you just like um okay so so that means you just like um okay so so that means you have like all these assets out there.

have like all these assets out there. have like all these assets out there. You don't know what they're doing or You don't know what they're doing or You don't know what they're doing or what's going on. They interestingly they what's going on. They interestingly they what's going on. They interestingly they have a layer of technology but they're have a layer of technology but they're have a layer of technology but they're not using it not even 10% of its not using it not even 10% of its not using it not even 10% of its capabilities. That's what I I noticed. capabilities. That's what I I noticed. capabilities. That's what I I noticed. They could be connected on a bunch of They could be connected on a bunch of They could be connected on a bunch of data. They could implement AI down there data. They could implement AI down there data. They could implement AI down there because they have rack of servers that because they have rack of servers that because they have rack of servers that do nothing but collecting data and and do nothing but collecting data and and do nothing but collecting data and and dust and and so it's it's surprising. dust and and so it's it's surprising. dust and and so it's it's surprising. It's to me it's more a matter of It's to me it's more a matter of It's to me it's more a matter of culture. I don't know what you think culture. I don't know what you think culture. I don't know what you think yet, but uh changing culture and and yet, but uh changing culture and and yet, but uh changing culture and and company structure is is where the company structure is is where the company structure is is where the blocker is. blocker is. blocker is. >> It's it's interesting. I think u five >> It's it's interesting. I think u five >> It's it's interesting. I think u five years ago before all this uh AI stuff, years ago before all this uh AI stuff, years ago before all this uh AI stuff, everyone was saying manufacturing so everyone was saying manufacturing so everyone was saying manufacturing so slow to adopt and and they're losing slow to adopt and and they're losing slow to adopt and and they're losing their people and they're losing the their people and they're losing the their people and they're losing the interesting young people because they're interesting young people because they're interesting young people because they're slow to adopt any new technology. Then slow to adopt any new technology. Then slow to adopt any new technology. Then suddenly this AI stuff happened. Now suddenly this AI stuff happened. Now suddenly this AI stuff happened. Now everybody think manufacturing is going everybody think manufacturing is going everybody think manufacturing is going to change overnight and it's going to be to change overnight and it's going to be to change overnight and it's going to be robots all over and whatever. No, it's robots all over and whatever. No, it's robots all over and whatever. No, it's it's still the same old manufacturing it's still the same old manufacturing it's still the same old manufacturing environment, the same people. Uh uh and environment, the same people. Uh uh and environment, the same people. Uh uh and it's still the same struggles. I mean, it's still the same struggles. I mean, it's still the same struggles. I mean, they the thing that was true 5 years ago they the thing that was true 5 years ago they the thing that was true 5 years ago is still true. They they do need to is still true. They they do need to is still true. They they do need to start uh adopting new technology to get start uh adopting new technology to get start uh adopting new technology to get it interesting for young people to come it interesting for young people to come it interesting for young people to come in. Uh because uh it's just like you in. Uh because uh it's just like you in. Uh because uh it's just like you know what is it? Uh Rotary Clubs and know what is it? Uh Rotary Clubs and know what is it? Uh Rotary Clubs and Lions Clubs, they age one year every Lions Clubs, they age one year every Lions Clubs, they age one year every year on average, right? manufacturing year on average, right? manufacturing year on average, right? manufacturing employees just [laughter] to some some employees just [laughter] to some some employees just [laughter] to some some level it's the same right it's not but level it's the same right it's not but level it's the same right it's not but but it's it's you know there's there's a but it's it's you know there's there's a but it's it's you know there's there's a lot of people there that that has been

lot of people there that that has been lot of people there that that has been there for many many years and when they there for many many years and when they there for many many years and when they leave it's a big big problem right and leave it's a big big problem right and leave it's a big big problem right and uh on nothing left so basically what uh on nothing left so basically what uh on nothing left so basically what you're saying is we've spent all these you're saying is we've spent all these you're saying is we've spent all these all this time years decades trying to do all this time years decades trying to do all this time years decades trying to do modernized modernized modernized manufacturing that industry 40 stuff we manufacturing that industry 40 stuff we manufacturing that industry 40 stuff we um wow and all this IoT OT AI tech And um wow and all this IoT OT AI tech And um wow and all this IoT OT AI tech And basically everything's still the same. basically everything's still the same. basically everything's still the same. >> Yeah. Well, the tech culture is very >> Yeah. Well, the tech culture is very >> Yeah. Well, the tech culture is very much the same. Yeah. I think there's much the same. Yeah. I think there's much the same. Yeah. I think there's definitely Go ahead. Go ahead. definitely Go ahead. Go ahead. definitely Go ahead. Go ahead. >> Yeah. I was saying that the the the >> Yeah. I was saying that the the the >> Yeah. I was saying that the the the technology is is deployed. Sometimes technology is is deployed. Sometimes technology is is deployed. Sometimes it's already there. It's not used. It's it's already there. It's not used. It's it's already there. It's not used. It's the culture and and one thing that I've the culture and and one thing that I've the culture and and one thing that I've heard [clears throat] again and again, heard [clears throat] again and again, heard [clears throat] again and again, especially on the operation side of especially on the operation side of especially on the operation side of things, it's like, hey guys, you're not things, it's like, hey guys, you're not things, it's like, hey guys, you're not justifying the ROI on that. And that's justifying the ROI on that. And that's justifying the ROI on that. And that's the same old question of like you need the same old question of like you need the same old question of like you need to invest that to modernize. You're to invest that to modernize. You're to invest that to modernize. You're producing there. You get that but invest producing there. You get that but invest producing there. You get that but invest that. You know what? Like why why and that. You know what? Like why why and that. You know what? Like why why and yes my my production line is is down 20% yes my my production line is is down 20% yes my my production line is is down 20% of the time but I'm still making a lot of the time but I'm still making a lot of the time but I'm still making a lot of money. So why changing that?

of money. So why changing that? of money. So why changing that? >> Why change? [laughter] >> Why change? [laughter] >> Why change? [laughter] >> Oh, that's definitely the the front >> Oh, that's definitely the the front >> Oh, that's definitely the the front runners, right? There are definitely a runners, right? There are definitely a runners, right? There are definitely a lot of uh uh um innovative new lot of uh uh um innovative new lot of uh uh um innovative new manufacturing plants. I mean Tesla Tesla manufacturing plants. I mean Tesla Tesla manufacturing plants. I mean Tesla Tesla factories are an example of that, but factories are an example of that, but factories are an example of that, but there's also larger like uh some of the there's also larger like uh some of the there's also larger like uh some of the auto manufacturers that are haveve auto manufacturers that are haveve auto manufacturers that are haveve always been at the front lines to be always been at the front lines to be always been at the front lines to be more effective. Uh more effective. Uh more effective. Uh >> but >> but >> but that's doing it that's doing it right. that's doing it that's doing it right. that's doing it that's doing it right. >> Usually it's green fields, right? when >> Usually it's green fields, right? when >> Usually it's green fields, right? when they when they start fresh, they start they when they start fresh, they start they when they start fresh, they start with what's available today, right? with what's available today, right? with what's available today, right? That's what I'm saying. That's what I'm saying. That's what I'm saying. >> No, fresh. >> No, fresh. >> No, fresh. >> The technology is here. Technology is >> The technology is here. Technology is >> The technology is here. Technology is mature. Connectivity can be done mature. Connectivity can be done mature. Connectivity can be done securely, safely. You can start securely, safely. You can start securely, safely. You can start harnessing data. Everything we've been harnessing data. Everything we've been harnessing data. Everything we've been talking about, as you were saying, Rob, talking about, as you were saying, Rob, talking about, as you were saying, Rob, in the last 20 years, because we're that in the last 20 years, because we're that in the last 20 years, because we're that old. Um, that's that's that's actually old. Um, that's that's that's actually old. Um, that's that's that's actually there. It it's working. It's production there. It it's working. It's production there. It it's working. It's production ready. And so green field works well ready. And so green field works well ready. And so green field works well because when you create something new, because when you create something new, because when you create something new, you use the the technology available you use the the technology available you use the the technology available today. It's [snorts] it's today. It's [snorts] it's today. It's [snorts] it's >> Are we saying that we are we saying we >> Are we saying that we are we saying we >> Are we saying that we are we saying we need to tear down all the existing need to tear down all the existing need to tear down all the existing factories and build brand fresh new ones factories and build brand fresh new ones factories and build brand fresh new ones to create that green?

to create that green? to create that green? >> No, not at all. Not at all. I think >> No, not at all. Not at all. I think >> No, not at all. Not at all. I think there's definitely opportunities. It's there's definitely opportunities. It's there's definitely opportunities. It's just a matter of um just a matter of um just a matter of um there's still the culture of if it there's still the culture of if it there's still the culture of if it doesn't if if it's not broke, doesn't if if it's not broke, doesn't if if it's not broke, >> you know, don't fix it, right? >> you know, don't fix it, right? >> you know, don't fix it, right? And I think that that's that's a lot of And I think that that's that's a lot of And I think that that's that's a lot of the culture, right? Uh um every the culture, right? Uh um every the culture, right? Uh um every I mean IT projects and manufacturing I mean IT projects and manufacturing I mean IT projects and manufacturing projects are always long long projects, projects are always long long projects, projects are always long long projects, right? If I got to right? If I got to right? If I got to add a whole new framework layer on my add a whole new framework layer on my add a whole new framework layer on my manufacturing plan, it's going to take a manufacturing plan, it's going to take a manufacturing plan, it's going to take a lot of effort. And so if it works right lot of effort. And so if it works right lot of effort. And so if it works right now, well, there's a hurdle there now, well, there's a hurdle there now, well, there's a hurdle there >> to get get over before you got make any >> to get get over before you got make any >> to get get over before you got make any changes. But uh changes. But uh changes. But uh >> I I think it what what I think is >> I I think it what what I think is >> I I think it what what I think is interesting is that everywhere AI now is interesting is that everywhere AI now is interesting is that everywhere AI now is being utilized. It it is a technology being utilized. It it is a technology being utilized. It it is a technology right now that if it's utilized right now that if it's utilized right now that if it's utilized properly, it can actually properly, it can actually properly, it can actually get above those hurdles in a way that is get above those hurdles in a way that is get above those hurdles in a way that is novel now compared to what it would take novel now compared to what it would take novel now compared to what it would take in the old days. I mean I see that way in the old days. I mean I see that way in the old days. I mean I see that way now with just just some of the software now with just just some of the software now with just just some of the software we're developing. I I I I have software we're developing. I I I I have software we're developing. I I I I have software developers. They don't write code developers. They don't write code developers. They don't write code anymore, right? They don't write any anymore, right? They don't write any anymore, right? They don't write any code. They go they go look at the code.

code. They go they go look at the code. code. They go they go look at the code. But uh and and they're they're But uh and and they're they're But uh and and they're they're prototyping is like next day, right? I prototyping is like next day, right? I prototyping is like next day, right? I mean, it's a uh um there are so many mean, it's a uh um there are so many mean, it's a uh um there are so many areas where in manufacturing too, I areas where in manufacturing too, I areas where in manufacturing too, I think there are some opportunities there think there are some opportunities there think there are some opportunities there where small key focused projects with where small key focused projects with where small key focused projects with some AI support could actually be great some AI support could actually be great some AI support could actually be great support. support. support. >> Yeah. So you're you're you're implying >> Yeah. So you're you're you're implying >> Yeah. So you're you're you're implying that people in manufacturing would would that people in manufacturing would would that people in manufacturing would would adopt fast and they have but they have a adopt fast and they have but they have a adopt fast and they have but they have a culture of going slow because the life culture of going slow because the life culture of going slow because the life cycles are different right they put cycles are different right they put cycles are different right they put something out a a production line something out a a production line something out a a production line whatever it has to be there for the next whatever it has to be there for the next whatever it has to be there for the next 10 15 20 years so they go slow because 10 15 20 years so they go slow because 10 15 20 years so they go slow because you know in adopting and changing you know in adopting and changing you know in adopting and changing because their life cycles are different because their life cycles are different because their life cycles are different but is it is it being you know shaken up but is it is it being you know shaken up but is it is it being you know shaken up and and is it changing because like and and is it changing because like and and is it changing because like software industry has been always always software industry has been always always software industry has been always always fast but these days As you were saying, fast but these days As you were saying, fast but these days As you were saying, Yan in just the last two years, the way Yan in just the last two years, the way Yan in just the last two years, the way your coding has changed. I mean, it's it your coding has changed. I mean, it's it your coding has changed. I mean, it's it it has nothing to do compared to two it has nothing to do compared to two it has nothing to do compared to two years ago. Teams are different. What you years ago. Teams are different. What you years ago. Teams are different. What you do as a developer is different. And it do as a developer is different. And it do as a developer is different. And it is fast, but it's still suffering. Um, is fast, but it's still suffering. Um, is fast, but it's still suffering. Um, from what I'm seeing in that change. So, from what I'm seeing in that change. So, from what I'm seeing in that change. So, manufacturing is is slower. Is it manufacturing is is slower. Is it manufacturing is is slower. Is it getting faster any faster? I I think getting faster any faster? I I think getting faster any faster? I I think it's it's a again it's a hurdle of just it's it's a again it's a hurdle of just it's it's a again it's a hurdle of just uh again the age group and and whatever uh again the age group and and whatever uh again the age group and and whatever that that we still need those new young that that we still need those new young that that we still need those new young flesh fresh blood people in flesh fresh blood people in flesh fresh blood people in manufacturing that can take on those manufacturing that can take on those manufacturing that can take on those challenges with those new tools and challenges with those new tools and challenges with those new tools and technologies. But I think for example

technologies. But I think for example technologies. But I think for example like a big thing in manufacturing is like a big thing in manufacturing is like a big thing in manufacturing is reporting and I can just see in in area reporting and I can just see in in area reporting and I can just see in in area right now reporting with AI is like a right now reporting with AI is like a right now reporting with AI is like a whole new world right I can go ask a a whole new world right I can go ask a a whole new world right I can go ask a a decent question and I come back with a decent question and I come back with a decent question and I come back with a nice 4m minute report that shows nice 4m minute report that shows nice 4m minute report that shows everything where you know in the old everything where you know in the old everything where you know in the old days that that monthly meeting it took days that that monthly meeting it took days that that monthly meeting it took the whole week before that that Friday the whole week before that that Friday the whole week before that that Friday to prepare that those reports that the to prepare that those reports that the to prepare that those reports that the monthly meeting had or even the the the monthly meeting had or even the the the monthly meeting had or even the the the the Friday meeting or whatever it is, the Friday meeting or whatever it is, the Friday meeting or whatever it is, right? It took a long time every for right? It took a long time every for right? It took a long time every for everybody to an effort to create those everybody to an effort to create those everybody to an effort to create those reports. But now it's like you can go to reports. But now it's like you can go to reports. But now it's like you can go to that meeting and just say, "What do you that meeting and just say, "What do you that meeting and just say, "What do you want to know?" Right? And then you just want to know?" Right? And then you just want to know?" Right? And then you just go in and ask the question and here's go in and ask the question and here's go in and ask the question and here's the report, the report, the report, >> right? >> right? >> right? >> And you trust >> And you trust >> And you trust >> and you trust the answer. >> and you trust the answer. >> and you trust the answer. It it it I more and more I would say I It it it I more and more I would say I It it it I more and more I would say I I've been very surprised about um but I've been very surprised about um but I've been very surprised about um but but it does require a a good IT and uh but it does require a a good IT and uh but it does require a a good IT and uh and um data and um data and um data >> technology people experts to make sure >> technology people experts to make sure >> technology people experts to make sure they make the right connections and uh they make the right connections and uh they make the right connections and uh and and have the right and and have the right and and have the right >> um like understanding of what the data >> um like understanding of what the data >> um like understanding of what the data means, right? Um that's what means, right? Um that's what means, right? Um that's what Hey Devin.

Hey Devin. Hey Devin. >> Hey everyone. >> Hey everyone. >> Hey everyone. >> Hey. I don't know if you've ever met >> Hey. I don't know if you've ever met >> Hey. I don't know if you've ever met John or Olivier before at a conference John or Olivier before at a conference John or Olivier before at a conference or anything or vice versa. Um, or anything or vice versa. Um, or anything or vice versa. Um, >> no. I'm I've never had the pleasure. >> no. I'm I've never had the pleasure. >> no. I'm I've never had the pleasure. Great to meet both of you. >> Kevin's our guy from NT. We always we'd >> Kevin's our guy from NT. We always we'd always see each other at Mobile World always see each other at Mobile World always see each other at Mobile World Congress and everywhere else. And he's Congress and everywhere else. And he's Congress and everywhere else. And he's also a good mutual friend like like also a good mutual friend like like also a good mutual friend like like Livia. You know Chaitton Sharma, right? Livia. You know Chaitton Sharma, right? Livia. You know Chaitton Sharma, right? back up in Seattle. And anyway, back up in Seattle. And anyway, back up in Seattle. And anyway, >> yes. >> yes. >> yes. >> Um, >> Um, >> Um, >> yeah, it's it's a small world. >> yeah, it's it's a small world. >> yeah, it's it's a small world. >> You guys are the globe. >> You guys are the globe. >> You guys are the globe. >> It's a small world. And, you know, Rob >> It's a small world. And, you know, Rob >> It's a small world. And, you know, Rob and I have known each other through many and I have known each other through many and I have known each other through many logos on our business card. So, again, logos on our business card. So, again, logos on our business card. So, again, it's a small world. We see each other. it's a small world. We see each other. it's a small world. We see each other. >> Rob can multiply himself. He knows >> Rob can multiply himself. He knows >> Rob can multiply himself. He knows everyone. He's everywhere. You know, everyone. He's everywhere. You know, everyone. He's everywhere. You know, >> you know, the funny thing about >> you know, the funny thing about >> you know, the funny thing about Yan here is I got to know him during Yan here is I got to know him during Yan here is I got to know him during COVID in 2020. COVID in 2020. COVID in 2020. Um, you part of this industry 40 club Um, you part of this industry 40 club Um, you part of this industry 40 club that was Yeah. What was the name of the that was Yeah. What was the name of the that was Yeah. What was the name of the app? The audio app back then.

app? The audio app back then. app? The audio app back then. >> Oh, what was it? Yeah, you're right. >> Oh, what was it? Yeah, you're right. >> Oh, what was it? Yeah, you're right. What was that app again? It What was that app again? It What was that app again? It >> was popular in 2020. >> was popular in 2020. >> was popular in 2020. >> It was just audio only. You have >> It was just audio only. You have >> It was just audio only. You have meetings. Um, meetings. Um, meetings. Um, >> yeah. >> yeah. >> yeah. >> And we a few recordings of IoT Coffee >> And we a few recordings of IoT Coffee >> And we a few recordings of IoT Coffee Talk in the early days live on that. Oh Talk in the early days live on that. Oh Talk in the early days live on that. Oh god, what was it called? It was just in god, what was it called? It was just in god, what was it called? It was just in my head a second ago. I don't even know my head a second ago. I don't even know my head a second ago. I don't even know if the app still exists. It was it was if the app still exists. It was it was if the app still exists. It was it was huge. huge. huge. >> It does. It does. >> It does. It does. >> It does. It does. >> It was huge during co and uh let's see. >> It was huge during co and uh let's see. >> It was huge during co and uh let's see. Andrea Horowitz was backing them and Andrea Horowitz was backing them and Andrea Horowitz was backing them and they thought it was just going to take they thought it was just going to take they thought it was just going to take over the world. So it was audio only and over the world. So it was audio only and over the world. So it was audio only and you'd have Clubhouse. It was Clubhouse. you'd have Clubhouse. It was Clubhouse. you'd have Clubhouse. It was Clubhouse. >> Clubhouse. There you go. There you go. >> Clubhouse. There you go. There you go. >> Clubhouse. There you go. There you go. Clubhouse. Yes. Yes. Clubhouse. Yes. Yes. Clubhouse. Yes. Yes. >> Yes. Yes. >> Yes. Yes. >> Yes. Yes. >> So you have all these clubouses and >> So you have all these clubouses and >> So you have all these clubouses and everybody. And so we were doing lots of everybody. And so we were doing lots of everybody. And so we were doing lots of stuff on Clubhouse during that time. Um stuff on Clubhouse during that time. Um stuff on Clubhouse during that time. Um >> Oh yes. Yes. >> Oh yes. Yes. >> Oh yes. Yes. >> And it was huge. And so that's where the >> And it was huge. And so that's where the >> And it was huge. And so that's where the industry 4 club started was on industry 4 club started was on industry 4 club started was on Clubhouse. Clubhouse. Clubhouse. >> And so we'd all tune in and wherever we >> And so we'd all tune in and wherever we >> And so we'd all tune in and wherever we were and talk about industry 4.0 stuff, were and talk about industry 4.0 stuff, were and talk about industry 4.0 stuff, you know. you know. you know. >> Yeah, it was it was time. It was a fun >> Yeah, it was it was time. It was a fun >> Yeah, it was it was time. It was a fun time.

time. time. >> Yeah. During the pandemic, it was good >> Yeah. During the pandemic, it was good >> Yeah. During the pandemic, it was good that it was audio only because most of that it was audio only because most of that it was audio only because most of us couldn't get haircuts, couldn't some us couldn't get haircuts, couldn't some us couldn't get haircuts, couldn't some people never shaved. Um we were all people never shaved. Um we were all people never shaved. Um we were all looking pretty rough during the looking pretty rough during the looking pretty rough during the pandemic. It almost seems likeough, pandemic. It almost seems likeough, pandemic. It almost seems likeough, >> you know, it was a bad movie from a long >> you know, it was a bad movie from a long >> you know, it was a bad movie from a long time ago. time ago. time ago. >> So true. >> So true. >> So true. >> Audio only and and no recording. So if >> Audio only and and no recording. So if >> Audio only and and no recording. So if you didn't get on it, you didn't get on it, you didn't get on it, >> you missed it. >> you missed it. >> you missed it. The whole event, The whole event, The whole event, >> but I didn't >> but I didn't >> but I didn't >> we're talking about all of that as if it >> we're talking about all of that as if it >> we're talking about all of that as if it were old times. It was not long ago. were old times. It was not long ago. were old times. It was not long ago. >> It wasn't long ago, but I think we >> It wasn't long ago, but I think we >> It wasn't long ago, but I think we mentally have kind of forgotten about mentally have kind of forgotten about mentally have kind of forgotten about it. Um, and the key quite it it taught it. Um, and the key quite it it taught it. Um, and the key quite it it taught us a lot. It taught us a lot. And I us a lot. It taught us a lot. And I us a lot. It taught us a lot. And I don't think we've the world is so much don't think we've the world is so much don't think we've the world is so much different then. But but if you think different then. But but if you think different then. But but if you think about you know the recording it's almost about you know the recording it's almost about you know the recording it's almost everything you do nowadays is permanent. everything you do nowadays is permanent. everything you do nowadays is permanent. And I have a 17-year-old I said be And I have a 17-year-old I said be And I have a 17-year-old I said be careful what you do because you know careful what you do because you know careful what you do because you know when I was 17 you could do stuff and no when I was 17 you could do stuff and no when I was 17 you could do stuff and no one ever remembered it. Now anything you one ever remembered it. Now anything you one ever remembered it. Now anything you do is there forever and that's the do is there forever and that's the do is there forever and that's the behavior. I think what I think what behavior. I think what I think what behavior. I think what I think what killed Clubhouse, uh, Twitter came out killed Clubhouse, uh, Twitter came out killed Clubhouse, uh, Twitter came out with their own version of how to do live with their own version of how to do live with their own version of how to do live meetings and stuff like that. Oh, I see meetings and stuff like that. Oh, I see meetings and stuff like that. Oh, I see Robert Scoville still doing those Robert Scoville still doing those Robert Scoville still doing those things, his little Tesla meetings on X things, his little Tesla meetings on X things, his little Tesla meetings on X now. Um, they Yeah, there were a few now. Um, they Yeah, there were a few now. Um, they Yeah, there were a few others that just kind of copycat others that just kind of copycat others that just kind of copycat >> they didn't do the LinkedIn live. Yeah.

>> they didn't do the LinkedIn live. Yeah. >> they didn't do the LinkedIn live. Yeah. >> Yeah. And so all of a sudden it what >> Yeah. And so all of a sudden it what >> Yeah. And so all of a sudden it what what was unique was everywhere. Um, boy, what was unique was everywhere. Um, boy, what was unique was everywhere. Um, boy, then that just happened in lots of then that just happened in lots of then that just happened in lots of things in the world, right? You're a things in the world, right? You're a things in the world, right? You're a first mover. You invent a category and first mover. You invent a category and first mover. You invent a category and you're going to take over the world and you're going to take over the world and you're going to take over the world and then a thousand other people copy you then a thousand other people copy you then a thousand other people copy you and now you have competition. [laughter] and now you have competition. [laughter] and now you have competition. [laughter] >> Yep. Yep. Right. >> Yep. Yep. Right. >> Yep. Yep. Right. >> Oops. You're right. >> Oops. You're right. >> Oops. You're right. >> I mean, we we will probably still we >> I mean, we we will probably still we >> I mean, we we will probably still we will probably still be on something like will probably still be on something like will probably still be on something like Clubhouse. It's just that our audience Clubhouse. It's just that our audience Clubhouse. It's just that our audience is all kind of more geared toward is all kind of more geared toward is all kind of more geared toward LinkedIn LinkedIn LinkedIn >> uh today. And I think a lot of them >> uh today. And I think a lot of them >> uh today. And I think a lot of them changed to there because Clubhouse was changed to there because Clubhouse was changed to there because Clubhouse was all over the place. There was stuff like all over the place. There was stuff like all over the place. There was stuff like industry 4.0 no club. And then there was industry 4.0 no club. And then there was industry 4.0 no club. And then there was like these protest uh things and there like these protest uh things and there like these protest uh things and there was like celebrities talking for hours was like celebrities talking for hours was like celebrities talking for hours and hours of about nothing probably. Um and hours of about nothing probably. Um and hours of about nothing probably. Um there's all kinds of stuff on there. there's all kinds of stuff on there. there's all kinds of stuff on there. It's just like a It's just like a It's just like a >> describing Tik Tok [laughter] >> describing Tik Tok [laughter] >> describing Tik Tok [laughter] >> kind of. >> kind of. >> kind of. Yeah, Yeah, Yeah, >> this >> this >> this ties ties ties >> this ties full circle because I I missed >> this ties full circle because I I missed >> this ties full circle because I I missed the first part of this conversation, but the first part of this conversation, but the first part of this conversation, but it starts, you know, it's a very similar it starts, you know, it's a very similar it starts, you know, it's a very similar conversation of, you know, especially in conversation of, you know, especially in conversation of, you know, especially in industry 4.0 and factories and things industry 4.0 and factories and things industry 4.0 and factories and things like that. There's the digital natives like that. There's the digital natives like that. There's the digital natives that are the new guys that are used to that are the new guys that are used to that are the new guys that are used to having data and everything recorded and having data and everything recorded and having data and everything recorded and all this stuff. And then there's the all this stuff. And then there's the all this stuff. And then there's the digital immigrants who, you know, kind digital immigrants who, you know, kind digital immigrants who, you know, kind of moved over there. And then there of moved over there. And then there of moved over there. And then there there's there's the non-digital people, there's there's the non-digital people, there's there's the non-digital people, the old OT people that, you know, refuse the old OT people that, you know, refuse the old OT people that, you know, refuse to trust the data. Everything's tribal

to trust the data. Everything's tribal to trust the data. Everything's tribal knowledge, not you know, and etc. And knowledge, not you know, and etc. And knowledge, not you know, and etc. And there, you know, they're retiring. So there, you know, they're retiring. So there, you know, they're retiring. So the way you're doing things in the the way you're doing things in the the way you're doing things in the manufacturing, in the factories is manufacturing, in the factories is manufacturing, in the factories is changing. And then you have this thing changing. And then you have this thing changing. And then you have this thing called physical AI coming and that's a called physical AI coming and that's a called physical AI coming and that's a whole different conversation of okay, is whole different conversation of okay, is whole different conversation of okay, is there is it ever going to be adopted? there is it ever going to be adopted? there is it ever going to be adopted? Um, does it make my workforce more Um, does it make my workforce more Um, does it make my workforce more complex? Cuz rather than hiring, you complex? Cuz rather than hiring, you complex? Cuz rather than hiring, you know, people that are hourly salaries know, people that are hourly salaries know, people that are hourly salaries that have low-level skills to do this, that have low-level skills to do this, that have low-level skills to do this, now I need college educated or now I need college educated or now I need college educated or engineering back people that understand engineering back people that understand engineering back people that understand how to maintain, how to, you know, work how to maintain, how to, you know, work how to maintain, how to, you know, work rework my processes for this new influx rework my processes for this new influx rework my processes for this new influx of physical AI technologies. of physical AI technologies. of physical AI technologies. >> But Devon, that begs the question. You >> But Devon, that begs the question. You >> But Devon, that begs the question. You know, we were talking about how do we know, we were talking about how do we know, we were talking about how do we actually I was about to ask how do we actually I was about to ask how do we actually I was about to ask how do we bring these young people into the bring these young people into the bring these young people into the manufacturing world and and have them manufacturing world and and have them manufacturing world and and have them interested in it. Will will the future interested in it. Will will the future interested in it. Will will the future be about or near future be about agents be about or near future be about agents be about or near future be about agents replacing these like the tribal replacing these like the tribal replacing these like the tribal knowledge because tribal knowledge is knowledge because tribal knowledge is knowledge because tribal knowledge is documented in a way or not, right? And documented in a way or not, right? And documented in a way or not, right? And so you can you can now that things are so you can you can now that things are so you can you can now that things are recorded, you can find traces of it and recorded, you can find traces of it and recorded, you can find traces of it and then you can train agents and then you then you can train agents and then you then you can train agents and then you can rapidly have this tribal knowledge can rapidly have this tribal knowledge can rapidly have this tribal knowledge being replaced. The same way would I being replaced. The same way would I being replaced. The same way would I would compare that to in the software would compare that to in the software would compare that to in the software industry now everyone relies on big industry now everyone relies on big industry now everyone relies on big middlewares right and now even like middlewares right and now even like middlewares right and now even like people don't code anymore but at some people don't code anymore but at some people don't code anymore but at some point we went from coding low level to point we went from coding low level to point we went from coding low level to coding very high level withnet and coding very high level withnet and coding very high level withnet and python and all of these interpreters and

python and all of these interpreters and python and all of these interpreters and middlewares and no one really knows how middlewares and no one really knows how middlewares and no one really knows how to code underneath anymore as in like to code underneath anymore as in like to code underneath anymore as in like for very few people you still have few for very few people you still have few for very few people you still have few experts but you don't need to have this experts but you don't need to have this experts but you don't need to have this level of knowledge so it Will will level of knowledge so it Will will level of knowledge so it Will will manufacturing become the same where the manufacturing become the same where the manufacturing become the same where the knowledge is in the agent? The agent knowledge is in the agent? The agent knowledge is in the agent? The agent replaces the old guy. The difference is replaces the old guy. The difference is replaces the old guy. The difference is that this agent is not going anywhere. that this agent is not going anywhere. that this agent is not going anywhere. They're not they don't need to be paid They're not they don't need to be paid They're not they don't need to be paid much tokens. And then uh and then you much tokens. And then uh and then you much tokens. And then uh and then you know you you basically are replacing the know you you basically are replacing the know you you basically are replacing the older. There's room for young people older. There's room for young people older. There's room for young people there. You know, different kind of work there. You know, different kind of work there. You know, different kind of work maybe more interesting because it's no maybe more interesting because it's no maybe more interesting because it's no longer about the you know grassroot work longer about the you know grassroot work longer about the you know grassroot work or or building your experience over 10 or or building your experience over 10 or or building your experience over 10 years before you're relevant. Now you years before you're relevant. Now you years before you're relevant. Now you can be relevant day one. can be relevant day one. can be relevant day one. >> Yeah, I see two piece I see two pieces >> Yeah, I see two piece I see two pieces >> Yeah, I see two piece I see two pieces of that, you know. So, first of all, I of that, you know. So, first of all, I of that, you know. So, first of all, I love I'm not sure if you saw what love I'm not sure if you saw what love I'm not sure if you saw what China's doing. They're taking you their China's doing. They're taking you their China's doing. They're taking you their scientists and they're make and putting scientists and they're make and putting scientists and they're make and putting big posters and make their scientists big posters and make their scientists big posters and make their scientists like heroes. So rather than the actors like heroes. So rather than the actors like heroes. So rather than the actors and the influencers, they're they're and the influencers, they're they're and the influencers, they're they're making a big focus on, you know, if you making a big focus on, you know, if you making a big focus on, you know, if you learn a technology, you're going to be a learn a technology, you're going to be a learn a technology, you're going to be a hero to us. Um I was working with a hero to us. Um I was working with a hero to us. Um I was working with a major university in their you know major university in their you know major university in their you know manufacturing team and and they they manufacturing team and and they they manufacturing team and and they they they're like boy the kids these days you they're like boy the kids these days you they're like boy the kids these days you know they don't want to learn a trade.

know they don't want to learn a trade. know they don't want to learn a trade. So you know we also partnered with this So you know we also partnered with this So you know we also partnered with this you know technical college and there's you know technical college and there's you know technical college and there's so there's a few scholarships that are so there's a few scholarships that are so there's a few scholarships that are not being used cuz the kids all want to not being used cuz the kids all want to not being used cuz the kids all want to be influencers because that's what's be influencers because that's what's be influencers because that's what's glamorous to them. But to do do glamorous to them. But to do do glamorous to them. But to do do manufacturing you got to learn those manufacturing you got to learn those manufacturing you got to learn those skills. Um, and so if you finish two skills. Um, and so if you finish two skills. Um, and so if you finish two years in this technical college, you get years in this technical college, you get years in this technical college, you get a full ride to the university. And even a full ride to the university. And even a full ride to the university. And even before you're a junior, you got a job in before you're a junior, you got a job in before you're a junior, you got a job in a manufacturing plant because all those a manufacturing plant because all those a manufacturing plant because all those skills are so hard to find. Most of the, skills are so hard to find. Most of the, skills are so hard to find. Most of the, you know, foundational skills are coming you know, foundational skills are coming you know, foundational skills are coming from people that grew up in Europe and from people that grew up in Europe and from people that grew up in Europe and other countries. And [snorts] they're other countries. And [snorts] they're other countries. And [snorts] they're learning the STEM. They're learning the learning the STEM. They're learning the learning the STEM. They're learning the foundation. What do we learn in our foundation. What do we learn in our foundation. What do we learn in our schools? you know this is I don't want schools? you know this is I don't want schools? you know this is I don't want to get controversial but our education to get controversial but our education to get controversial but our education system is needs fixing and you know the system is needs fixing and you know the system is needs fixing and you know the priorities of the kids nowadays nobody priorities of the kids nowadays nobody priorities of the kids nowadays nobody you know it's hard to learn a trade so I you know it's hard to learn a trade so I you know it's hard to learn a trade so I think it's both you know what is the think it's both you know what is the think it's both you know what is the infrastructure associated with it but infrastructure associated with it but infrastructure associated with it but what are we glamorizing you know it's what are we glamorizing you know it's what are we glamorizing you know it's are these factory jobs they should be are these factory jobs they should be are these factory jobs they should be glam you know these should be great glam you know these should be great glam you know these should be great careers for you careers for you careers for you >> so many years ago um uh you know 3 four >> so many years ago um uh you know 3 four >> so many years ago um uh you know 3 four 5 years ago, I think there was a there 5 years ago, I think there was a there 5 years ago, I think there was a there was kind of this was kind of this was kind of this um adver adverse perspective of um adver adverse perspective of um adver adverse perspective of universities and thinking about there's universities and thinking about there's universities and thinking about there's other ways to get people into the other ways to get people into the other ways to get people into the workforce. Uh so they were talking about workforce. Uh so they were talking about workforce. Uh so they were talking about both trade school but also just both trade school but also just both trade school but also just companies hiring people and then companies hiring people and then companies hiring people and then training them um to get to the point or training them um to get to the point or training them um to get to the point or even educating them to get to the point

even educating them to get to the point even educating them to get to the point where they need to be. And I I don't I where they need to be. And I I don't I where they need to be. And I I don't I haven't heard about that in a long time haven't heard about that in a long time haven't heard about that in a long time now. for the last couple years. It's I now. for the last couple years. It's I now. for the last couple years. It's I don't know if it's died away or don't know if it's died away or don't know if it's died away or whatever, but I think it's still I mean whatever, but I think it's still I mean whatever, but I think it's still I mean these huge especially over here, you these huge especially over here, you these huge especially over here, you know, you you you get into a university know, you you you get into a university know, you you you get into a university and then when you come out, you get this and then when you come out, you get this and then when you come out, you get this debt of 50,000 or whatever and uh and debt of 50,000 or whatever and uh and debt of 50,000 or whatever and uh and sitting on sitting on, you know, sitting on sitting on, you know, sitting on sitting on, you know, stopping you and keeping you down as stopping you and keeping you down as stopping you and keeping you down as opposed to getting into a trade school opposed to getting into a trade school opposed to getting into a trade school and and just pay as you go maybe and and and just pay as you go maybe and and and just pay as you go maybe and then come back out and make some money then come back out and make some money then come back out and make some money right away and be in a completely right away and be in a completely right away and be in a completely different situation. I think there's and different situation. I think there's and different situation. I think there's and I I agree with you that there's I I agree with you that there's I I agree with you that there's definitely some things that needs to definitely some things that needs to definitely some things that needs to change uh because it's not sustainable. change uh because it's not sustainable. change uh because it's not sustainable. Um Um Um >> yeah, >> yeah, >> yeah, >> we got young people that can't even buy >> we got young people that can't even buy >> we got young people that can't even buy a house anymore. a house anymore. a house anymore. >> Um because of the debt they're they're >> Um because of the debt they're they're >> Um because of the debt they're they're in, right? It's just great. in, right? It's just great. in, right? It's just great. >> That's a good point. Wow. Fill them to >> That's a good point. Wow. Fill them to >> That's a good point. Wow. Fill them to love. Yeah. You know, if you go back in love. Yeah. You know, if you go back in love. Yeah. You know, if you go back in time to that industry 40 club or or even time to that industry 40 club or or even time to that industry 40 club or or even back to when industry 40 was launched at back to when industry 40 was launched at back to when industry 40 was launched at handover Messi back in 2010, I wonder handover Messi back in 2010, I wonder handover Messi back in 2010, I wonder what percentage of industrial companies what percentage of industrial companies what percentage of industrial companies have achieved those goals, all those have achieved those goals, all those have achieved those goals, all those things that we put together that said things that we put together that said things that we put together that said this is industry 4.0.

this is industry 4.0. this is industry 4.0. I, you know, and we're going to, you I, you know, and we're going to, you I, you know, and we're going to, you know, gosh, think about that. It's been know, gosh, think about that. It's been know, gosh, think about that. It's been 16 years now since that was launched. 16 years now since that was launched. 16 years now since that was launched. Um, I wonder is it still maybe a small Um, I wonder is it still maybe a small Um, I wonder is it still maybe a small singledigit percentage of companies that singledigit percentage of companies that singledigit percentage of companies that have have have >> achieved what they were hoping for, do >> achieved what they were hoping for, do >> achieved what they were hoping for, do you think? I don't know. you think? I don't know. you think? I don't know. >> I think it's again that the the big >> I think it's again that the the big >> I think it's again that the the big companies, the big fund runners have companies, the big fund runners have companies, the big fund runners have done a lot with it. Um, but the smaller done a lot with it. Um, but the smaller done a lot with it. Um, but the smaller companies and the laggers have still companies and the laggers have still companies and the laggers have still they're still lagging. I guess it was they're still lagging. I guess it was they're still lagging. I guess it was interesting. Um um I don't know if it interesting. Um um I don't know if it interesting. Um um I don't know if it was organized by Sesame. There was a was organized by Sesame. There was a was organized by Sesame. There was a podcast uh just a couple days ago with podcast uh just a couple days ago with podcast uh just a couple days ago with Jeff Winter and Sesame and a couple Jeff Winter and Sesame and a couple Jeff Winter and Sesame and a couple others uh including uh what's his name? others uh including uh what's his name? others uh including uh what's his name? Uh there's always talk about namespace. Uh there's always talk about namespace. Uh there's always talk about namespace. Uh unified name. Uh unified name. Uh unified name. >> Oh, Mr. Unified Namespace. >> Oh, Mr. Unified Namespace. >> Oh, Mr. Unified Namespace. >> Yes. Yes. Yes. Uh but he was on it too. >> Yes. Yes. Yes. Uh but he was on it too. >> Yes. Yes. Yes. Uh but he was on it too. But they talk about uh i3x which is But they talk about uh i3x which is But they talk about uh i3x which is something that uh Jes something that uh Jes something that uh Jes new vendor neutral API framework and new vendor neutral API framework and new vendor neutral API framework and they didn't talk about it but just they didn't talk about it but just they didn't talk about it but just saying i3x i3 saying i3x i3 saying i3x i3 is industry 3 right is I'm I'm assuming is industry 3 right is I'm I'm assuming is industry 3 right is I'm I'm assuming that's kind of they're saying they can that's kind of they're saying they can that's kind of they're saying they can sit on top of industry 3.0 technology sit on top of industry 3.0 technology sit on top of industry 3.0 technology and so it's like saying we're not we're and so it's like saying we're not we're and so it's like saying we're not we're not there yet but we have a whole lot of not there yet but we have a whole lot of not there yet but we have a whole lot of industry 3.0 know stuff out there and industry 3.0 know stuff out there and industry 3.0 know stuff out there and here's a framework you can sit on top of here's a framework you can sit on top of here's a framework you can sit on top of and and get data from it and you know and and get data from it and you know and and get data from it and you know contextualize data into manufacturing.

contextualize data into manufacturing. contextualize data into manufacturing. >> Yeah. >> Yeah. >> Yeah. >> Um you know back then industry 4.0 was a >> Um you know back then industry 4.0 was a >> Um you know back then industry 4.0 was a German government initiative and then German government initiative and then German government initiative and then there's the industrial internet there's the industrial internet there's the industrial internet consortium that was kind of parallel to consortium that was kind of parallel to consortium that was kind of parallel to that and then industry 4.0 just became that and then industry 4.0 just became that and then industry 4.0 just became the whole you know nomenclature for the whole you know nomenclature for the whole you know nomenclature for anything that we were doing for anything that we were doing for anything that we were doing for advancing technology. So the key advancing technology. So the key advancing technology. So the key question becomes you know what's the question becomes you know what's the question becomes you know what's the government's role in this because over government's role in this because over government's role in this because over in the east the government was focusing in the east the government was focusing in the east the government was focusing on manufacturing and creating standards on manufacturing and creating standards on manufacturing and creating standards rather than overregulating themselves to rather than overregulating themselves to rather than overregulating themselves to death. But if you look at the reality of death. But if you look at the reality of death. But if you look at the reality of you know at least in North America where you know at least in North America where you know at least in North America where the factories are today is there hasn't the factories are today is there hasn't the factories are today is there hasn't been a lot of infrastructure investment been a lot of infrastructure investment been a lot of infrastructure investment because the margins are thin. um the because the margins are thin. um the because the margins are thin. um the there's an aging workforce and most of there's an aging workforce and most of there's an aging workforce and most of the factories you know I've been I went the factories you know I've been I went the factories you know I've been I went to a factory this not a factory of the to a factory this not a factory of the to a factory this not a factory of the future but you know kind of a showcase future but you know kind of a showcase future but you know kind of a showcase factory and I saw Windows 98 and a factory and I saw Windows 98 and a factory and I saw Windows 98 and a Windows XP machine running on the side Windows XP machine running on the side Windows XP machine running on the side and say we can't unplug this but it's and say we can't unplug this but it's and say we can't unplug this but it's because it's connected to a bunch of because it's connected to a bunch of because it's connected to a bunch of legacy systems and we you know we don't legacy systems and we you know we don't legacy systems and we you know we don't have a replacement for it but there's no have a replacement for it but there's no have a replacement for it but there's no incentive right now because everything incentive right now because everything incentive right now because everything is on maximizing your profit for that is on maximizing your profit for that is on maximizing your profit for that quarterly report there's no you there's quarterly report there's no you there's quarterly report there's no you there's a minimum of long-term vision. And you a minimum of long-term vision. And you a minimum of long-term vision. And you know, whether you think or not, you know, whether you think or not, you know, whether you think or not, you know, this this whole quarterly view, know, this this whole quarterly view, know, this this whole quarterly view, the stock market is harming us because the stock market is harming us because the stock market is harming us because we're trying to maximize shareholder we're trying to maximize shareholder we're trying to maximize shareholder value at the expense of growing and value at the expense of growing and value at the expense of growing and investing in our infrastructure. Um investing in our infrastructure. Um investing in our infrastructure. Um >> Yeah. Yeah.

>> Yeah. Yeah. >> Yeah. Yeah. >> Right. I I have [clears throat] hope >> Right. I I have [clears throat] hope >> Right. I I have [clears throat] hope like when I see I have kids who are 21 like when I see I have kids who are 21 like when I see I have kids who are 21 20 and uh and soon to to turn 17 and and 20 and uh and soon to to turn 17 and and 20 and uh and soon to to turn 17 and and I'm I'm looking at them looking at their I'm I'm looking at them looking at their I'm I'm looking at them looking at their friends. Um I'm also we're doing lots of friends. Um I'm also we're doing lots of friends. Um I'm also we're doing lots of hackathons as well in my team here at hackathons as well in my team here at hackathons as well in my team here at Qualcomm and uh we have the chance to Qualcomm and uh we have the chance to Qualcomm and uh we have the chance to have the Arduino now company part of have the Arduino now company part of have the Arduino now company part of Qualcomm. So we do bunch of things with Qualcomm. So we do bunch of things with Qualcomm. So we do bunch of things with Arduinos. Arduinos. Arduinos. >> And there's a couple things I've >> And there's a couple things I've >> And there's a couple things I've noticed. It's it's the the kids. They noticed. It's it's the the kids. They noticed. It's it's the the kids. They learn on the spot super fast. You don't learn on the spot super fast. You don't learn on the spot super fast. You don't need one week now to learn how to build need one week now to learn how to build need one week now to learn how to build some software that will control a robot some software that will control a robot some software that will control a robot that will like this. The last one we did that will like this. The last one we did that will like this. The last one we did was like little tiny robots with a was like little tiny robots with a was like little tiny robots with a camera that were uh they were playing camera that were uh they were playing camera that were uh they were playing soccer against each other. And most of soccer against each other. And most of soccer against each other. And most of the kids in the room, I say kids because the kids in the room, I say kids because the kids in the room, I say kids because they were the age of my kids. um they they were the age of my kids. um they they were the age of my kids. um they they were whether new in tech or still they were whether new in tech or still they were whether new in tech or still in school and they never had touched a in school and they never had touched a in school and they never had touched a robot before and after half a day of robot before and after half a day of robot before and after half a day of coding their robot was tracking a ball coding their robot was tracking a ball coding their robot was tracking a ball and and so they were learning about that and and so they were learning about that and and so they were learning about that on the spot and immediately building an on the spot and immediately building an on the spot and immediately building an actual application. So what do you got actual application. So what do you got actual application. So what do you got there? What do you got Deon? So, I got there? What do you got Deon? So, I got there? What do you got Deon? So, I got my kid a little Arduino kit when he was my kid a little Arduino kit when he was my kid a little Arduino kit when he was little, but you know, it was hard to little, but you know, it was hard to little, but you know, it was hard to battle the iPad and YouTube stuff to go, battle the iPad and YouTube stuff to go, battle the iPad and YouTube stuff to go, you know, I said, "Go build something you know, I said, "Go build something you know, I said, "Go build something physical." You know, I love these little physical." You know, I love these little physical." You know, I love these little kids. Um, exactly what you're talking kids. Um, exactly what you're talking kids. Um, exactly what you're talking about. How do we make this, you know, a about. How do we make this, you know, a about. How do we make this, you know, a school curriculum and kids excited about school curriculum and kids excited about school curriculum and kids excited about building stuff?

building stuff? building stuff? >> Yeah. and and and actually the the deaf >> Yeah. and and and actually the the deaf >> Yeah. and and and actually the the deaf technology is is is helping cuz now technology is is is helping cuz now technology is is is helping cuz now these kids would never touch a these kids would never touch a these kids would never touch a soldiering iron, don't know electronics, soldiering iron, don't know electronics, soldiering iron, don't know electronics, whatever. They were driven by the AI whatever. They were driven by the AI whatever. They were driven by the AI tools and agents and they were tools and agents and they were tools and agents and they were [clears throat] just following the [clears throat] just following the [clears throat] just following the steps. Hey, do this, do this, and steps. Hey, do this, do this, and steps. Hey, do this, do this, and connect this here and you'll see that connect this here and you'll see that connect this here and you'll see that work. And and [clears throat] they were work. And and [clears throat] they were work. And and [clears throat] they were like debugging the thing on the spot like debugging the thing on the spot like debugging the thing on the spot without knowing what they were doing. without knowing what they were doing. without knowing what they were doing. they were still able to communicate with they were still able to communicate with they were still able to communicate with the tools and and have the tools telling the tools and and have the tools telling the tools and and have the tools telling them what to do. It's it's showing a them what to do. It's it's showing a them what to do. It's it's showing a different dimension because instead of different dimension because instead of different dimension because instead of thinking having to learn electronics, thinking having to learn electronics, thinking having to learn electronics, having to learn embedded coding and so having to learn embedded coding and so having to learn embedded coding and so on, they were learning about the trade. on, they were learning about the trade. on, they were learning about the trade. They were learning about what do you They were learning about what do you They were learning about what do you need in terms of you know tracking the need in terms of you know tracking the need in terms of you know tracking the ball and and and they were not thinking ball and and and they were not thinking ball and and and they were not thinking about all the they did not need to think about all the they did not need to think about all the they did not need to think about all the details underneath. They about all the details underneath. They about all the details underneath. They were just like being guided to to make were just like being guided to to make were just like being guided to to make it happen. It's like, you know, driving it happen. It's like, you know, driving it happen. It's like, you know, driving a car today. You don't need to a car today. You don't need to a car today. You don't need to understand how the engine works to make understand how the engine works to make understand how the engine works to make it work and you just drive it. And it it work and you just drive it. And it it work and you just drive it. And it feels to me that there's bunch of feels to me that there's bunch of feels to me that there's bunch of technologies that are becoming that real technologies that are becoming that real technologies that are becoming that real fast, super fast. and seeing these kids, fast, super fast. and seeing these kids, fast, super fast. and seeing these kids, they were super interested by the they were super interested by the they were super interested by the physical aspect of things and they they physical aspect of things and they they physical aspect of things and they they wanted to score a goal and and with the wanted to score a goal and and with the wanted to score a goal and and with the robot and they were super excited about robot and they were super excited about robot and they were super excited about this and they were able to do it with no this and they were able to do it with no this and they were able to do it with no background in embedded in AI vision background in embedded in AI vision background in embedded in AI vision whatnot in the morning and they were whatnot in the morning and they were whatnot in the morning and they were able to do that in the evening in the able to do that in the evening in the able to do that in the evening in the same day. That to me that's to me that's same day. That to me that's to me that's same day. That to me that's to me that's why I'm

why I'm why I'm >> that's impressive. >> that's impressive. >> that's impressive. >> Yeah. I think think about that think >> Yeah. I think think about that think >> Yeah. I think think about that think about that kind of young people starting about that kind of young people starting about that kind of young people starting up in manufacturing solving problems uh up in manufacturing solving problems uh up in manufacturing solving problems uh with with a good set of tool sets that with with a good set of tool sets that with with a good set of tool sets that they can utilize in in the same way. I they can utilize in in the same way. I they can utilize in in the same way. I mean that would be very interesting. mean that would be very interesting. mean that would be very interesting. >> Yeah. And we had this conversation >> Yeah. And we had this conversation >> Yeah. And we had this conversation at dinner the other night with some at dinner the other night with some at dinner the other night with some Nvidia friends as to you know I have a Nvidia friends as to you know I have a Nvidia friends as to you know I have a 17-year-old who was a senior in you know 17-year-old who was a senior in you know 17-year-old who was a senior in you know in high school getting ready to go to in high school getting ready to go to in high school getting ready to go to school and he's like what what should I school and he's like what what should I school and he's like what what should I study and you know so during the dinner study and you know so during the dinner study and you know so during the dinner conversation was still you need to learn conversation was still you need to learn conversation was still you need to learn engineering why because it shows you how engineering why because it shows you how engineering why because it shows you how to do structured problem solving and you to do structured problem solving and you to do structured problem solving and you know especially computer engineering know especially computer engineering know especially computer engineering stuff you know if if you're good at stuff you know if if you're good at stuff you know if if you're good at coding you're good at you know really coding you're good at you know really coding you're good at you know really structuring the problem, taking it down structuring the problem, taking it down structuring the problem, taking it down to its bare minimum and then being to its bare minimum and then being to its bare minimum and then being efficient in it. So that those skills efficient in it. So that those skills efficient in it. So that those skills are still going to be needed whether you are still going to be needed whether you are still going to be needed whether you don't need to know, you know, the ins don't need to know, you know, the ins don't need to know, you know, the ins and outs of actually writing the code.

and outs of actually writing the code. and outs of actually writing the code. >> That's a good point. >> That's a good point. >> That's a good point. >> But thinking out the box as well you >> But thinking out the box as well you >> But thinking out the box as well you like I mean that's going to be a like I mean that's going to be a like I mean that's going to be a combination and and about you know combination and and about you know combination and and about you know building the tools that allow will allow building the tools that allow will allow building the tools that allow will allow this young generation to get into this young generation to get into this young generation to get into manufacturing. One area I'm seeing manufacturing. One area I'm seeing manufacturing. One area I'm seeing interest these days is the ability to interest these days is the ability to interest these days is the ability to have AI running at the edge um without have AI running at the edge um without have AI running at the edge um without having to compromise with safety and having to compromise with safety and having to compromise with safety and security or or any regulations. Keep the security or or any regulations. Keep the security or or any regulations. Keep the data there. You have historians. You data there. You have historians. You data there. You have historians. You have all the user manuals of all your have all the user manuals of all your have all the user manuals of all your machines and so on. Feed that to some machines and so on. Feed that to some machines and so on. Feed that to some big LLM that runs locally. And now you big LLM that runs locally. And now you big LLM that runs locally. And now you have your experts and now you have your have your experts and now you have your have your experts and now you have your agents that any young guy can come in uh agents that any young guy can come in uh agents that any young guy can come in uh and and interact with on the factory and and interact with on the factory and and interact with on the factory floor. apply their their their floor. apply their their their floor. apply their their their structured thinking around solving the structured thinking around solving the structured thinking around solving the problems but also bring these new you problems but also bring these new you problems but also bring these new you know out of the box ideas and and know out of the box ideas and and know out of the box ideas and and different thinking cuz when you are in a different thinking cuz when you are in a different thinking cuz when you are in a domain you're like that right and so domain you're like that right and so domain you're like that right and so thinking about the solution as being thinking about the solution as being thinking about the solution as being something that is not one of the three something that is not one of the three something that is not one of the three or five solutions that have been tried or five solutions that have been tried or five solutions that have been tried before you know is something that you before you know is something that you before you know is something that you know we need young blood for that coming know we need young blood for that coming know we need young blood for that coming from different horizons and different from different horizons and different from different horizons and different backgrounds and and start thinking out backgrounds and and start thinking out backgrounds and and start thinking out of the box and throw it to an agent and of the box and throw it to an agent and of the box and throw it to an agent and the agent tell them. Oh, maybe that the agent tell them. Oh, maybe that the agent tell them. Oh, maybe that could work if we do this, this, and could work if we do this, this, and could work if we do this, this, and that. And And now you have it.

that. And And now you have it. that. And And now you have it. >> I heard somebody say edge computing. I >> I heard somebody say edge computing. I >> I heard somebody say edge computing. I just want to show you a picture. I just want to show you a picture. I just want to show you a picture. I always do that. always do that. always do that. >> All right. Um Gosh, it's looking weird. >> All right. Um Gosh, it's looking weird. >> All right. Um Gosh, it's looking weird. Anyway, Anyway, Anyway, because of the coloration or whatever, because of the coloration or whatever, because of the coloration or whatever, my graphic card or something. Anyway, my graphic card or something. Anyway, my graphic card or something. Anyway, it's actually this giant white box and it's actually this giant white box and it's actually this giant white box and huge solar panels. And this is Edge huge solar panels. And this is Edge huge solar panels. And this is Edge Computing. uh friend of the show uh Computing. uh friend of the show uh Computing. uh friend of the show uh Steve Cannon. He's been on a few times Steve Cannon. He's been on a few times Steve Cannon. He's been on a few times in the past. He works he has a company in the past. He works he has a company in the past. He works he has a company called Pulse Checker. It's an IoT called Pulse Checker. It's an IoT called Pulse Checker. It's an IoT company. Uh he and I got to know each company. Uh he and I got to know each company. Uh he and I got to know each other way back when when I was at other way back when when I was at other way back when when I was at Ericson. He was at uh Twin Thread in Ericson. He was at uh Twin Thread in Ericson. He was at uh Twin Thread in Bosezeman, Montana. Anyway, Bosezeman, Montana. Anyway, Bosezeman, Montana. Anyway, >> yeah, >> yeah, >> yeah, >> the guy can sell and he can build real >> the guy can sell and he can build real >> the guy can sell and he can build real things. So, this giant this thing is six things. So, this giant this thing is six things. So, this giant this thing is six feet tall, massive solar, obviously huge feet tall, massive solar, obviously huge feet tall, massive solar, obviously huge enclosure. Everything's very It weighs a enclosure. Everything's very It weighs a enclosure. Everything's very It weighs a ton. It's heavy, but it's going into a ton. It's heavy, but it's going into a ton. It's heavy, but it's going into a liqufied natural gas LG facility being liqufied natural gas LG facility being liqufied natural gas LG facility being built in Louisiana right now. And he's built in Louisiana right now. And he's built in Louisiana right now. And he's deploying a bunch of these things. And deploying a bunch of these things. And deploying a bunch of these things. And Edge is all shapes and sizes. It's all I Edge is all shapes and sizes. It's all I Edge is all shapes and sizes. It's all I can say, you know. And he had used he can say, you know. And he had used he can say, you know. And he had used he had a requirement. It's like we don't had a requirement. It's like we don't had a requirement. It's like we don't have regular power. This massive have regular power. This massive have regular power. This massive facility is under construction now and facility is under construction now and facility is under construction now and we need to monitor vibration and some we need to monitor vibration and some we need to monitor vibration and some other things. And so, uh, that's what he other things. And so, uh, that's what he other things. And so, uh, that's what he came up with. You wouldn't believe some came up with. You wouldn't believe some came up with. You wouldn't believe some of the stuff that he's manufactured to of the stuff that he's manufactured to of the stuff that he's manufactured to put on motor engines of giant barges put on motor engines of giant barges put on motor engines of giant barges that go up and down the Mississippi that go up and down the Mississippi that go up and down the Mississippi River and then along the Gulf of Mexico

River and then along the Gulf of Mexico River and then along the Gulf of Mexico to the Houston ship channel pushing kind to the Houston ship channel pushing kind to the Houston ship channel pushing kind of chemicals and oil and gas, all stuff of chemicals and oil and gas, all stuff of chemicals and oil and gas, all stuff and building these things that go around and building these things that go around and building these things that go around the engines. And, you know, I'm always the engines. And, you know, I'm always the engines. And, you know, I'm always blown away. you know, Olivia and I, you blown away. you know, Olivia and I, you blown away. you know, Olivia and I, you know, experienced what we thought was we know, experienced what we thought was we know, experienced what we thought was we really struggled, I thought, with really struggled, I thought, with really struggled, I thought, with pricing with Azure IoT, like how much do pricing with Azure IoT, like how much do pricing with Azure IoT, like how much do we charge by the device, by the message, we charge by the device, by the message, we charge by the device, by the message, by the by the by the was always really hard. And I remember was always really hard. And I remember was always really hard. And I remember how much he surprised me when I heard he how much he surprised me when I heard he how much he surprised me when I heard he was having success with, hey, here's a was having success with, hey, here's a was having success with, hey, here's a couple of Lauranbased couple of Lauranbased couple of Lauranbased temperature sensors for restaurants. put temperature sensors for restaurants. put temperature sensors for restaurants. put one in your walk-in cooler and one in one in your walk-in cooler and one in one in your walk-in cooler and one in your walk-in freezer and it's just going your walk-in freezer and it's just going your walk-in freezer and it's just going to send you a text message if it's out to send you a text message if it's out to send you a text message if it's out of the zone, you know, like someone left of the zone, you know, like someone left of the zone, you know, like someone left the door open. You're going to And I was the door open. You're going to And I was the door open. You're going to And I was like, "Wow, how much are you charging like, "Wow, how much are you charging like, "Wow, how much are you charging for that?" He's like, " $99 a month for for that?" He's like, " $99 a month for for that?" He's like, " $99 a month for two little devices." I'm like, two little devices." I'm like, two little devices." I'm like, [gasps] "Wow, somebody's paying for [gasps] "Wow, somebody's paying for [gasps] "Wow, somebody's paying for that." that." that." >> Yeah. ROI, man. ROI.

>> Yeah. ROI, man. ROI. >> Yeah. ROI, man. ROI. >> It's not about the technology and the >> It's not about the technology and the >> It's not about the technology and the price of technology. It's about what price of technology. It's about what price of technology. It's about what it's make in making you save or or or it's make in making you save or or or it's make in making you save or or or earn more, right? earn more, right? earn more, right? >> You know how in you always in business >> You know how in you always in business >> You know how in you always in business you always want your customers to turn you always want your customers to turn you always want your customers to turn into salespeople for you because they're into salespeople for you because they're into salespeople for you because they're they love what you did and they had a they love what you did and they had a they love what you did and they had a good experience. And so that happened to good experience. And so that happened to good experience. And so that happened to him. He had one of these restaurants in him. He had one of these restaurants in him. He had one of these restaurants in Bosezeman. It turns out going into a Bosezeman. It turns out going into a Bosezeman. It turns out going into a three-day weekend, someone left the door three-day weekend, someone left the door three-day weekend, someone left the door open on the freezer like on a Friday open on the freezer like on a Friday open on the freezer like on a Friday night after they closed down and he got night after they closed down and he got night after they closed down and he got the notification and they closed the the notification and they closed the the notification and they closed the door and you think, "No big deal." And door and you think, "No big deal." And door and you think, "No big deal." And the guy goes, "No, man." He goes, "I the guy goes, "No, man." He goes, "I the guy goes, "No, man." He goes, "I would have lost $26,000 worth of food would have lost $26,000 worth of food would have lost $26,000 worth of food and stuff for my restaurant if I hadn't and stuff for my restaurant if I hadn't and stuff for my restaurant if I hadn't known about that." He's like, "Of course known about that." He's like, "Of course known about that." He's like, "Of course I'm I'm I'm >> Did you ask him if it's him who went >> Did you ask him if it's him who went >> Did you ask him if it's him who went down there and opened the fridge at down there and opened the fridge at down there and opened the fridge at night?" You know? [laughter] night?" You know? [laughter] night?" You know? [laughter] >> Right. Right. Yeah. Yeah. Good point. >> Right. Right. Yeah. Yeah. Good point. >> Right. Right. Yeah. Yeah. Good point. That's what I would do. That's what I would do. That's what I would do. >> Good sales point, right? >> Good sales point, right? >> Good sales point, right? >> Right. [laughter] >> Right. [laughter] >> Right. [laughter] >> OH MY GOD. YOU SOMETIMES WE WE TALK >> OH MY GOD. YOU SOMETIMES WE WE TALK >> OH MY GOD. YOU SOMETIMES WE WE TALK ABOUT THIS EDGE COMPUTING thing and it I ABOUT THIS EDGE COMPUTING thing and it I ABOUT THIS EDGE COMPUTING thing and it I used to think it was this organized used to think it was this organized used to think it was this organized little PC near industrial machines and little PC near industrial machines and little PC near industrial machines and stuff like that. And HP made some of stuff like that. And HP made some of stuff like that. And HP made some of them and Dell made some of them. They them and Dell made some of them. They them and Dell made some of them. They had different branding and they had lots had different branding and they had lots had different branding and they had lots all the all the all the >> comp ports on them and everything. And >> comp ports on them and everything. And >> comp ports on them and everything. And then over time people started telling me then over time people started telling me then over time people started telling me that the endpoint the device was somehow that the endpoint the device was somehow that the endpoint the device was somehow the edge. And I'm like what the edge. And I'm like what the edge. And I'm like what that's the end point. The edges here the that's the end point. The edges here the that's the end point. The edges here the core the clouds over here.

core the clouds over here. core the clouds over here. >> You'd be impressed what you'd be >> You'd be impressed what you'd be >> You'd be impressed what you'd be impressed what what many are trying to impressed what what many are trying to impressed what what many are trying to do these days. What I'm talking a lot do these days. What I'm talking a lot do these days. What I'm talking a lot about is distributing of intelligence. about is distributing of intelligence. about is distributing of intelligence. How do you get the brain to not be in How do you get the brain to not be in How do you get the brain to not be in one place and be a bottleneck or be a one place and be a bottleneck or be a one place and be a bottleneck or be a point of failure? And you don't want point of failure? And you don't want point of failure? And you don't want that, right? In industry whatever 3 or 4 that, right? In industry whatever 3 or 4 that, right? In industry whatever 3 or 4 zero, you don't want the single point of zero, you don't want the single point of zero, you don't want the single point of failure. And so distributing the failure. And so distributing the failure. And so distributing the intelligence is is the name of the game intelligence is is the name of the game intelligence is is the name of the game these days is how you make not just your these days is how you make not just your these days is how you make not just your AI smaller and more specialized, but how AI smaller and more specialized, but how AI smaller and more specialized, but how you going to orchestrate that int these you going to orchestrate that int these you going to orchestrate that int these pieces of intelligence like there's this pieces of intelligence like there's this pieces of intelligence like there's this company I don't recall the name they've company I don't recall the name they've company I don't recall the name they've been a quite recently um I don't recall been a quite recently um I don't recall been a quite recently um I don't recall by whom but a small company that was by whom but a small company that was by whom but a small company that was doing it was called Newton. um still doing it was called Newton. um still doing it was called Newton. um still doing that but now is was a bigger one doing that but now is was a bigger one doing that but now is was a bigger one and uh they were able to run inference and uh they were able to run inference and uh they were able to run inference on vibration on a tiny microcontroller on vibration on a tiny microcontroller on vibration on a tiny microcontroller running on battery directly on the running on battery directly on the running on battery directly on the motion sensor itself. So the motion motion sensor itself. So the motion motion sensor itself. So the motion sensor itself was not sending out like sensor itself was not sending out like sensor itself was not sending out like all the readings from the sensor. it was all the readings from the sensor. it was all the readings from the sensor. it was sending out the only over lower one sending out the only over lower one sending out the only over lower one actually I think um the the the one actually I think um the the the one actually I think um the the the one piece of information which was the box piece of information which was the box piece of information which was the box fell or we got a shock at that time you fell or we got a shock at that time you fell or we got a shock at that time you know and instead of sending regularly know and instead of sending regularly know and instead of sending regularly all the data to be analyzed somewhere all the data to be analyzed somewhere all the data to be analyzed somewhere else this little sensor was sending I else this little sensor was sending I else this little sensor was sending I fell and that's it right so in terms of fell and that's it right so in terms of fell and that's it right so in terms of communication was super simple but it communication was super simple but it communication was super simple but it was doing all the inference directly on was doing all the inference directly on was doing all the inference directly on the microcontroller vibration sensor

the microcontroller vibration sensor the microcontroller vibration sensor tiny super tiny microcontroller doing tiny super tiny microcontroller doing tiny super tiny microcontroller doing everything down there and you're just everything down there and you're just everything down there and you're just like, "Wow, if like this is this is, you like, "Wow, if like this is this is, you like, "Wow, if like this is this is, you know, what's going to happen because know, what's going to happen because know, what's going to happen because then you have all these sensors talking then you have all these sensors talking then you have all these sensors talking to each other or sharing their to each other or sharing their to each other or sharing their information, you're going to have some information, you're going to have some information, you're going to have some orchestration and and now you have super orchestration and and now you have super orchestration and and now you have super intelligent systems. Uh, you know, and intelligent systems. Uh, you know, and intelligent systems. Uh, you know, and the problem has been solved in robotics the problem has been solved in robotics the problem has been solved in robotics already. Um, and you know, you look at already. Um, and you know, you look at already. Um, and you know, you look at robotics at works with different brains robotics at works with different brains robotics at works with different brains that and nodes that are communicating that and nodes that are communicating that and nodes that are communicating with one another and now you're able to with one another and now you're able to with one another and now you're able to to customize your AI to run down there. to customize your AI to run down there. to customize your AI to run down there. You know, it's it's going to be super You know, it's it's going to be super You know, it's it's going to be super interesting. I'm seeing more and more interesting. I'm seeing more and more interesting. I'm seeing more and more interest into running tinier models, interest into running tinier models, interest into running tinier models, more specialized on tinier hardware more specialized on tinier hardware more specialized on tinier hardware rather than everything [snorts] in the rather than everything [snorts] in the rather than everything [snorts] in the cloud and and whatnot. So, it's going to cloud and and whatnot. So, it's going to cloud and and whatnot. So, it's going to be interesting to see how that goes for be interesting to see how that goes for be interesting to see how that goes for industry actually for zero. Yeah, we're industry actually for zero. Yeah, we're industry actually for zero. Yeah, we're going to see a lot of, you know, going to see a lot of, you know, going to see a lot of, you know, explosion of AI at the edge mostly, you explosion of AI at the edge mostly, you explosion of AI at the edge mostly, you know, token usage, audit control. Um, know, token usage, audit control. Um, know, token usage, audit control. Um, privacy is probably the biggest one, you privacy is probably the biggest one, you privacy is probably the biggest one, you know, sovereignty, privacy, know, sovereignty, privacy, know, sovereignty, privacy, you know, do I want all that data up in you know, do I want all that data up in you know, do I want all that data up in the cloud and then operational decisions the cloud and then operational decisions the cloud and then operational decisions all, you know, done immediately at the all, you know, done immediately at the all, you know, done immediately at the edge. So they I think this is a big edge. So they I think this is a big edge. So they I think this is a big growth area for a lot of things. you growth area for a lot of things. you growth area for a lot of things. you know, we all went to a cloud architect.

know, we all went to a cloud architect. know, we all went to a cloud architect. You know, cloud first was everything and You know, cloud first was everything and You know, cloud first was everything and which is great when you want to do which is great when you want to do which is great when you want to do collaboration, but a lot of things, you collaboration, but a lot of things, you collaboration, but a lot of things, you know, on the factory floor doesn't need, know, on the factory floor doesn't need, know, on the factory floor doesn't need, you know, all that compute power and you you know, all that compute power and you you know, all that compute power and you need to bring the compute power back need to bring the compute power back need to bring the compute power back down into the edge to do some a lot of down into the edge to do some a lot of down into the edge to do some a lot of the new AI things, especially around the new AI things, especially around the new AI things, especially around vision and auditory use cases. vision and auditory use cases. vision and auditory use cases. >> Yeah, that's a good point. >> Yeah, that's a good point. >> Yeah, that's a good point. >> Yeah, >> Yeah, >> Yeah, >> I had another >> I had another >> I had another >> Go ahead. Yeah. >> Go ahead. Yeah. >> Go ahead. Yeah. And talking about AI and uh IoT, And talking about AI and uh IoT, And talking about AI and uh IoT, um what are you guys hearing about cyber um what are you guys hearing about cyber um what are you guys hearing about cyber security? We're we're getting some security? We're we're getting some security? We're we're getting some feedback from customers, especially in feedback from customers, especially in feedback from customers, especially in Europe right now, that is talking about Europe right now, that is talking about Europe right now, that is talking about disconnecting IoT because they're afraid disconnecting IoT because they're afraid disconnecting IoT because they're afraid of what AI can do from a cyber security of what AI can do from a cyber security of what AI can do from a cyber security perspective. The old cyber security is perspective. The old cyber security is perspective. The old cyber security is kind of known, but now now the AI kind kind of known, but now now the AI kind kind of known, but now now the AI kind of on its own can go and subtly of on its own can go and subtly of on its own can go and subtly penetrate something that it's not penetrate something that it's not penetrate something that it's not supposed to, right? and and um and so so supposed to, right? and and um and so so supposed to, right? and and um and so so are you guys hearing anything about are you guys hearing anything about are you guys hearing anything about that?

that? that? >> It's time for Leonard to bring up >> It's time for Leonard to bring up >> It's time for Leonard to bring up Battlestar Galactica, but um [laughter] >> No, that's you know um I saw one of our >> No, that's you know um I saw one of our >> I saw one of our analyst friends um you >> I saw one of our analyst friends um you >> I saw one of our analyst friends um you know uh you know u you know there Mad know uh you know u you know there Mad know uh you know u you know there Mad Haten and his buddies that do the IoT Haten and his buddies that do the IoT Haten and his buddies that do the IoT analyst stuff. analyst stuff. analyst stuff. >> Yeah. And it I guess the a new European >> Yeah. And it I guess the a new European >> Yeah. And it I guess the a new European cyber security thing just came into cyber security thing just came into cyber security thing just came into effect that's going to affect IoT effect that's going to affect IoT effect that's going to affect IoT devices and if you are in trouble and I devices and if you are in trouble and I devices and if you are in trouble and I just moved there a weird camera and I just moved there a weird camera and I just moved there a weird camera and I think he said that part of the penalty think he said that part of the penalty think he said that part of the penalty is so much money and up to 2.5% of your is so much money and up to 2.5% of your is so much money and up to 2.5% of your annual your company's annual earnings annual your company's annual earnings annual your company's annual earnings um for a violation um for a violation um for a violation and the fact that you just started and the fact that you just started and the fact that you just started saying what you said where people are saying what you said where people are saying what you said where people are like we're pulling out of here. You like we're pulling out of here. You like we're pulling out of here. You know, the risk. It's so easy to get know, the risk. It's so easy to get know, the risk. It's so easy to get hacked and it's so easy to have a hacked and it's so easy to have a hacked and it's so easy to have a security violation. And so I can I can security violation. And so I can I can security violation. And so I can I can see why some companies might say it's see why some companies might say it's see why some companies might say it's not worth it. It's a best intention idea not worth it. It's a best intention idea not worth it. It's a best intention idea on the part of the European Commission, on the part of the European Commission, on the part of the European Commission, but it could backfire because some but it could backfire because some but it could backfire because some companies might just say we're out companies might just say we're out companies might just say we're out because we can't we I've got a million because we can't we I've got a million because we can't we I've got a million devices deployed. I can't control it.

devices deployed. I can't control it. devices deployed. I can't control it. It's too much. It's too much. It's too much. >> Yeah. But but here's the thing though >> Yeah. But but here's the thing though >> Yeah. But but here's the thing though like AI can be used to hack a system but like AI can be used to hack a system but like AI can be used to hack a system but it can be used to defend it as well and it can be used to defend it as well and it can be used to defend it as well and protect it and so and it's the same AI protect it and so and it's the same AI protect it and so and it's the same AI at the end of the day or same level of at the end of the day or same level of at the end of the day or same level of intelligence and and haven't we intelligence and and haven't we intelligence and and haven't we [clears throat] been like fighting that [clears throat] been like fighting that [clears throat] been like fighting that like prior to AI we were hiring big like prior to AI we were hiring big like prior to AI we were hiring big companies were hiring big hackers to companies were hiring big hackers to companies were hiring big hackers to defend their systems and so now big defend their systems and so now big defend their systems and so now big clouds AWS and Google and and Microsoft clouds AWS and Google and and Microsoft clouds AWS and Google and and Microsoft their clouds are being attacked like on their clouds are being attacked like on their clouds are being attacked like on a regular bas pieces and sometimes there a regular bas pieces and sometimes there a regular bas pieces and sometimes there is a breach sometimes but how rarely is a breach sometimes but how rarely is a breach sometimes but how rarely compared to to how many of these attacks compared to to how many of these attacks compared to to how many of these attacks there are so like why would there are so like why would there are so like why would manufacturing be different if we if if manufacturing be different if we if if manufacturing be different if we if if we allow AI to also be on the protective we allow AI to also be on the protective we allow AI to also be on the protective side of things it's no difference than side of things it's no difference than side of things it's no difference than you know very advanced hackers um human you know very advanced hackers um human you know very advanced hackers um human ones that's just faster but so you put ones that's just faster but so you put ones that's just faster but so you put the equivalent in front of it and you the equivalent in front of it and you the equivalent in front of it and you know let them fight know let them fight know let them fight >> I don't know why but when you were >> I don't know why but when you were >> I don't know why but when you were talking about them fighting for some talking about them fighting for some talking about them fighting for some reason I was thinking of Darth Maul as reason I was thinking of Darth Maul as reason I was thinking of Darth Maul as the bad guy and then Qui-Gon Jen, you the bad guy and then Qui-Gon Jen, you the bad guy and then Qui-Gon Jen, you know, [laughter] and know, [laughter] and know, [laughter] and >> it's a matter of perspective who's good >> it's a matter of perspective who's good >> it's a matter of perspective who's good and bad. It's a matter of perspective and bad. It's a matter of perspective and bad. It's a matter of perspective was good and bad. It's very subjective was good and bad. It's very subjective was good and bad. It's very subjective was the good one with the bad one.

was the good one with the bad one. was the good one with the bad one. >> But Olivia, you're you're absolutely >> But Olivia, you're you're absolutely >> But Olivia, you're you're absolutely right. I mean, this has been something right. I mean, this has been something right. I mean, this has been something that has been discussed way before even that has been discussed way before even that has been discussed way before even AI. you know OTIT integration OT has AI. you know OTIT integration OT has AI. you know OTIT integration OT has always been a closed system you know and always been a closed system you know and always been a closed system you know and I open up to the internet and let's say I open up to the internet and let's say I open up to the internet and let's say I have a stamping plant and a cleaner is I have a stamping plant and a cleaner is I have a stamping plant and a cleaner is cleaning and someone hacks in and turns cleaning and someone hacks in and turns cleaning and someone hacks in and turns that you know that machine on the that's that you know that machine on the that's that you know that machine on the that's always a use case you know we all know always a use case you know we all know always a use case you know we all know about the fish tank thermometer in Vegas about the fish tank thermometer in Vegas about the fish tank thermometer in Vegas that somehow so you you again we all say that somehow so you you again we all say that somehow so you you again we all say privacy and security by design privacy and security by design privacy and security by design structuring that's why I loved you know structuring that's why I loved you know structuring that's why I loved you know very narrowband networks because there's very narrowband networks because there's very narrowband networks because there's very little you can do. I mean, back very little you can do. I mean, back very little you can do. I mean, back when Sikf Fox was around, you know, you when Sikf Fox was around, you know, you when Sikf Fox was around, you know, you could probably do 12 kilobytes. There's could probably do 12 kilobytes. There's could probably do 12 kilobytes. There's not much you can do, but it was a not much you can do, but it was a not much you can do, but it was a separate network. So, that's why when separate network. So, that's why when separate network. So, that's why when you design your network, how do you keep you design your network, how do you keep you design your network, how do you keep it off the enterprise network? Do you it off the enterprise network? Do you it off the enterprise network? Do you just keep it on a separate 5G cellular? just keep it on a separate 5G cellular? just keep it on a separate 5G cellular? Do you separate a Laura WAN and make Do you separate a Laura WAN and make Do you separate a Laura WAN and make sure all the firewalls and all the sure all the firewalls and all the sure all the firewalls and all the things are in place that just runs that things are in place that just runs that things are in place that just runs that IoT environment? The danger that we're IoT environment? The danger that we're IoT environment? The danger that we're getting into is we're, you know, you getting into is we're, you know, you getting into is we're, you know, you know, Europe is becoming a very know, Europe is becoming a very know, Europe is becoming a very difficult place to deploy because of all difficult place to deploy because of all difficult place to deploy because of all the new regulations that will be there the new regulations that will be there the new regulations that will be there for 30 years. I'm for 30 years. I'm for 30 years. I'm It's like being a doctor now. You know, It's like being a doctor now. You know, It's like being a doctor now. You know, I have a friend who is an OB/GYN and I I have a friend who is an OB/GYN and I I have a friend who is an OB/GYN and I didn't know that you do that, but you didn't know that you do that, but you didn't know that you do that, but you take malpractice insurance until the take malpractice insurance until the take malpractice insurance until the baby that you deliver in the US is 18 baby that you deliver in the US is 18 baby that you deliver in the US is 18 years old. Until then, you can be sued years old. Until then, you can be sued years old. Until then, you can be sued for anything that happened during the for anything that happened during the for anything that happened during the birth. And you know so how do you how do birth. And you know so how do you how do birth. And you know so how do you how do you operate that way? So if I put in an

you operate that way? So if I put in an you operate that way? So if I put in an you know an IoT implementation that you know an IoT implementation that you know an IoT implementation that somehow you know I have to guarantee somehow you know I have to guarantee somehow you know I have to guarantee that it's cure for I can't remember what that it's cure for I can't remember what that it's cure for I can't remember what the new regulations are in Europe the new regulations are in Europe the new regulations are in Europe sometimes up to 30 years of you know sometimes up to 30 years of you know sometimes up to 30 years of you know they can come back and your they can come back and your they can come back and your indemnification I'm not going to want to indemnification I'm not going to want to indemnification I'm not going to want to operate in that environment whereas on operate in that environment whereas on operate in that environment whereas on the east you know in the eastern world the east you know in the eastern world the east you know in the eastern world it it's all out and they're winning the it it's all out and they're winning the it it's all out and they're winning the war because they're not over you know war because they're not over you know war because they're not over you know you got technical people running it they you got technical people running it they you got technical people running it they see the benefits of it. You know, you see the benefits of it. You know, you see the benefits of it. You know, you lose privacy, yes, but they're they're lose privacy, yes, but they're they're lose privacy, yes, but they're they're advancing so much. So, where's that advancing so much. So, where's that advancing so much. So, where's that balance for us in the Western world? balance for us in the Western world? balance for us in the Western world? Good question. Did we screw up like cuz Good question. Did we screw up like cuz Good question. Did we screw up like cuz you're right about those hacking events you're right about those hacking events you're right about those hacking events and obviously recently we had some water and obviously recently we had some water and obviously recently we had some water treatment plants get into and so all treatment plants get into and so all treatment plants get into and so all these years we've been talking about these years we've been talking about these years we've been talking about bringing OT and it together and it's bringing OT and it together and it's bringing OT and it together and it's going to be magic. Maybe it was a stupid going to be magic. Maybe it was a stupid going to be magic. Maybe it was a stupid idea to begin with, [laughter] idea to begin with, [laughter] idea to begin with, [laughter] you know. No, seriously.

you know. No, seriously. you know. No, seriously. >> How do you really feel, Rob? And the >> How do you really feel, Rob? And the >> How do you really feel, Rob? And the reason I say it's stupid and it's easy reason I say it's stupid and it's easy reason I say it's stupid and it's easy to qualify and say well you didn't have to qualify and say well you didn't have to qualify and say well you didn't have the right people doing the jobs but what the right people doing the jobs but what the right people doing the jobs but what I remember I remember Microsoft visiting I remember I remember Microsoft visiting I remember I remember Microsoft visiting power facilities like you know critical power facilities like you know critical power facilities like you know critical infrastructure electric and you'd go in infrastructure electric and you'd go in infrastructure electric and you'd go in there and you'd see people in the there and you'd see people in the there and you'd see people in the cubicles on the carpeted floor side of cubicles on the carpeted floor side of cubicles on the carpeted floor side of the business on their network their land the business on their network their land the business on their network their land their whatever and then you go over to their whatever and then you go over to their whatever and then you go over to the OT side and the controllers and the OT side and the controllers and the OT side and the controllers and everything and then you sometimes would everything and then you sometimes would everything and then you sometimes would notice that those networks could were notice that those networks could were notice that those networks could were traversing each other and it was a flat traversing each other and it was a flat traversing each other and it was a flat network open across the OT and the IT network open across the OT and the IT network open across the OT and the IT side and YOU'RE LIKE OH MY god side and YOU'RE LIKE OH MY god side and YOU'RE LIKE OH MY god you don't know about network you don't know about network you don't know about network segmentation and fire all that stuff and segmentation and fire all that stuff and segmentation and fire all that stuff and they're like well no it's easier this they're like well no it's easier this they're like well no it's easier this way and I'm like yeah it is easier way and I'm like yeah it is easier way and I'm like yeah it is easier [laughter] [laughter] [laughter] for the hackers No. [clears throat] for the hackers No. [clears throat] for the hackers No. [clears throat] >> Yeah.

>> Yeah. >> Yeah. >> Yeah. Yeah. Yeah. I think >> Yeah. Yeah. Yeah. I think >> Yeah. Yeah. Yeah. I think >> Go ahead. >> Go ahead. >> Go ahead. >> I had I [clears throat] had the I had >> I had I [clears throat] had the I had >> I had I [clears throat] had the I had the um I had this realization like last the um I had this realization like last the um I had this realization like last last two years ago, not realization cuz last two years ago, not realization cuz last two years ago, not realization cuz I I knew that, right? So brothers you I I knew that, right? So brothers you I I knew that, right? So brothers you were saying like we've been when we were were saying like we've been when we were were saying like we've been when we were at Microsoft we've been here and there at Microsoft we've been here and there at Microsoft we've been here and there and we've seen all of that but uh you and we've seen all of that but uh you and we've seen all of that but uh you know a a customer asking me you know or know a a customer asking me you know or know a a customer asking me you know or or resisting the idea of bringing an AGI or resisting the idea of bringing an AGI or resisting the idea of bringing an AGI box to monitor OPCUA data and to to take box to monitor OPCUA data and to to take box to monitor OPCUA data and to to take action by mix and matching data from an action by mix and matching data from an action by mix and matching data from an ERP CRM systems right try to identify ERP CRM systems right try to identify ERP CRM systems right try to identify you know the problem the source of a you know the problem the source of a you know the problem the source of a problem in a production line um based on problem in a production line um based on problem in a production line um based on you know customer reports of anomalies you know customer reports of anomalies you know customer reports of anomalies on a batch, whatever, right? And so like on a batch, whatever, right? And so like on a batch, whatever, right? And so like these data silos were so siloed that these data silos were so siloed that these data silos were so siloed that there's no way to to put everything there's no way to to put everything there's no way to to put everything together. And so we we were able to to together. And so we we were able to to together. And so we we were able to to to suggest first of all, let's let's to suggest first of all, let's let's to suggest first of all, let's let's gather all the data from your your gather all the data from your your gather all the data from your your factory floor and assembly floor. And so factory floor and assembly floor. And so factory floor and assembly floor. And so we're going to have this NGI box doing we're going to have this NGI box doing we're going to have this NGI box doing all the collection from, you know, all the collection from, you know, all the collection from, you know, Modbus and OPCA and so on. And then Modbus and OPCA and so on. And then Modbus and OPCA and so on. And then we're going to send that to your we're going to send that to your we're going to send that to your enterprise network. And the guy was just enterprise network. And the guy was just enterprise network. And the guy was just like, no way. like this box connected to like, no way. like this box connected to like, no way. like this box connected to my opca and and to to solve the problem my opca and and to to solve the problem my opca and and to to solve the problem I told them but you can have two nicks I told them but you can have two nicks I told them but you can have two nicks two different network cards on one two different network cards on one two different network cards on one machine so they and and that's going to machine so they and and that's going to machine so they and and that's going to be segregated and that box is going to be segregated and that box is going to be segregated and that box is going to be sealed down and so OPCUA and whatever be sealed down and so OPCUA and whatever be sealed down and so OPCUA and whatever on one hand enterprise network two on one hand enterprise network two on one hand enterprise network two different connectors two different different connectors two different different connectors two different cables and the guy was like with

cables and the guy was like with cables and the guy was like with firewalls yes yes with firewalls and and firewalls yes yes with firewalls and and firewalls yes yes with firewalls and and he was like okay we can do that then and he was like okay we can do that then and he was like okay we can do that then and [snorts] it's just a matter of like [snorts] it's just a matter of like [snorts] it's just a matter of like showing them the physical option, the showing them the physical option, the showing them the physical option, the mechanical option for them to realize mechanical option for them to realize mechanical option for them to realize cuz you could do the same thing with cuz you could do the same thing with cuz you could do the same thing with software. You don't need to have two software. You don't need to have two software. You don't need to have two separate nicks, whatever. But it doesn't separate nicks, whatever. But it doesn't separate nicks, whatever. But it doesn't matter. You like you show them the matter. You like you show them the matter. You like you show them the physical solution and then suddenly it physical solution and then suddenly it physical solution and then suddenly it it in their brain it it connects. It's it in their brain it it connects. It's it in their brain it it connects. It's like, okay, so now I'm safe. I'm secure. like, okay, so now I'm safe. I'm secure. like, okay, so now I'm safe. I'm secure. Two big firewalls, you know, and two Two big firewalls, you know, and two Two big firewalls, you know, and two separate networks. It's the same box at separate networks. It's the same box at separate networks. It's the same box at the end of the day, same OS managing the the end of the day, same OS managing the the end of the day, same OS managing the two. But that doesn't matter for them. two. But that doesn't matter for them. two. But that doesn't matter for them. It was like, "Okay, now I understand." It was like, "Okay, now I understand." It was like, "Okay, now I understand." >> We're going to use that firewall that's >> We're going to use that firewall that's >> We're going to use that firewall that's built into Windows XP. That should be built into Windows XP. That should be built into Windows XP. That should be good, right? Yeah. good, right? Yeah. good, right? Yeah. >> That'll be fine. Absolutely. I remember >> That'll be fine. Absolutely. I remember >> That'll be fine. Absolutely. I remember >> and the password to the admin is one, >> and the password to the admin is one, >> and the password to the admin is one, two, three, four. two, three, four. two, three, four. >> One, two, three, four. Yeah. But that >> One, two, three, four. Yeah. But that >> One, two, three, four. Yeah. But that same OTI team going to the cloud idea, I same OTI team going to the cloud idea, I same OTI team going to the cloud idea, I remember remember remember my engineers really hating me at Hitachi my engineers really hating me at Hitachi my engineers really hating me at Hitachi because they wanted to just go all in because they wanted to just go all in because they wanted to just go all in with the cloud. Actually, I had some with the cloud. Actually, I had some with the cloud. Actually, I had some that said, "Let's build the whole that said, "Let's build the whole that said, "Let's build the whole platform using Lambda functions in AWS.

platform using Lambda functions in AWS. platform using Lambda functions in AWS. We'll get to market faster." I'm like, We'll get to market faster." I'm like, We'll get to market faster." I'm like, "Yes, you will." But um you'll be "Yes, you will." But um you'll be "Yes, you will." But um you'll be connected to them forever. But I I said, connected to them forever. But I I said, connected to them forever. But I I said, you know, they're like, "Listen, we got you know, they're like, "Listen, we got you know, they're like, "Listen, we got to do the cloud thing." GE is with to do the cloud thing." GE is with to do the cloud thing." GE is with predict. They've got their own cloud predict. They've got their own cloud predict. They've got their own cloud everything. I go, "Stop. everything. I go, "Stop. everything. I go, "Stop. We make nuclear reactors at Hitachi. I We make nuclear reactors at Hitachi. I We make nuclear reactors at Hitachi. I am never going to build anything that's am never going to build anything that's am never going to build anything that's going to connect to the outside world in going to connect to the outside world in going to connect to the outside world in a freaking nuclear reactor. Our thing a freaking nuclear reactor. Our thing a freaking nuclear reactor. Our thing has to be portable. It has to run uh in has to be portable. It has to run uh in has to be portable. It has to run uh in the reactor. It has or not in the the reactor. It has or not in the the reactor. It has or not in the reactor, but [laughter] in the plant, reactor, but [laughter] in the plant, reactor, but [laughter] in the plant, you know, just like the OTIT stuff, you you know, just like the OTIT stuff, you you know, just like the OTIT stuff, you know, um I don't know if we didn't, you know, um I don't know if we didn't, you know, um I don't know if we didn't, you know, it's one thing to know how to know, it's one thing to know how to know, it's one thing to know how to build some connectivity and do some build some connectivity and do some build some connectivity and do some OPCUA and whatever. I don't know if we OPCUA and whatever. I don't know if we OPCUA and whatever. I don't know if we didn't have the right network people. didn't have the right network people. didn't have the right network people. There's always that notion of are the There's always that notion of are the There's always that notion of are the are the people on your team qualified to are the people on your team qualified to are the people on your team qualified to do this because I IoT has been dominated do this because I IoT has been dominated do this because I IoT has been dominated by a bunch of software developers who by a bunch of software developers who by a bunch of software developers who really don't know anything about really don't know anything about really don't know anything about hardware and they actually don't know a hardware and they actually don't know a hardware and they actually don't know a lot about network security either. Um lot about network security either. Um lot about network security either. Um and they just said, "Hey, I got it to and they just said, "Hey, I got it to and they just said, "Hey, I got it to work. You know, I'm sending stuff to work. You know, I'm sending stuff to work. You know, I'm sending stuff to Azure to event hubs. We're good."

Azure to event hubs. We're good." Azure to event hubs. We're good." >> And they they're just, YOU KNOW, THAT'S >> And they they're just, YOU KNOW, THAT'S >> And they they're just, YOU KNOW, THAT'S LOTS OF people path least resistance. LOTS OF people path least resistance. LOTS OF people path least resistance. High five. It works. we're sending data, High five. It works. we're sending data, High five. It works. we're sending data, you know, and they just don't know any you know, and they just don't know any you know, and they just don't know any of that other stuff. And I think that's of that other stuff. And I think that's of that other stuff. And I think that's why Leonard and I decided that IoT is why Leonard and I decided that IoT is why Leonard and I decided that IoT is now becoming part of the trades. now becoming part of the trades. now becoming part of the trades. >> And yeah, >> And yeah, >> And yeah, >> you know, >> you know, >> you know, >> get your overalls. [laughter] >> get your overalls. [laughter] >> get your overalls. [laughter] >> Yeah. >> Yeah. >> Yeah. [gasps] [gasps] [gasps] >> Oh [clears throat] my god. >> Oh [clears throat] my god. >> Oh [clears throat] my god. >> You're going to be on your hands and >> You're going to be on your hands and >> You're going to be on your hands and knees and uh you know, Yeah. you need to knees and uh you know, Yeah. you need to knees and uh you know, Yeah. you need to go like like in some of the use cases in go like like in some of the use cases in go like like in some of the use cases in the book when there's different the book when there's different the book when there's different electrical electronic stuff and other electrical electronic stuff and other electrical electronic stuff and other things done in the use cases I call out things done in the use cases I call out things done in the use cases I call out having you need a qualified electrician having you need a qualified electrician having you need a qualified electrician to do this you need a qualified so I to do this you need a qualified so I to do this you need a qualified so I called out every time and it it hit me I called out every time and it it hit me I called out every time and it it hit me I was like I've got trades people all over was like I've got trades people all over was like I've got trades people all over the place to do these use cases where we the place to do these use cases where we the place to do these use cases where we all know in the past just a bunch of all know in the past just a bunch of all know in the past just a bunch of guys like us would have shown up with guys like us would have shown up with guys like us would have shown up with Arduinos and woo Bob's your uncle. We're Arduinos and woo Bob's your uncle. We're Arduinos and woo Bob's your uncle. We're good, right?

good, right? good, right? [laughter] >> Anyhoo, how's it going, Leonard? How's >> Anyhoo, how's it going, Leonard? How's how's Berlin? how's Berlin? how's Berlin? >> Uh, it's a beautiful city. The food is >> Uh, it's a beautiful city. The food is >> Uh, it's a beautiful city. The food is so good here. It's weird. Um, you know, so good here. It's weird. Um, you know, so good here. It's weird. Um, you know, you always hear how you always hear how you always hear how people who come here say that the food people who come here say that the food people who come here say that the food is so bland, but I actually like it a is so bland, but I actually like it a is so bland, but I actually like it a lot. It actually tastes like food, you lot. It actually tastes like food, you lot. It actually tastes like food, you know. know. know. >> Wow. What's your favorite dish so far? >> Wow. What's your favorite dish so far? >> Wow. What's your favorite dish so far? uh freaking you know like their cat, you uh freaking you know like their cat, you uh freaking you know like their cat, you know, their uh pickled stuff. Maybe know, their uh pickled stuff. Maybe know, their uh pickled stuff. Maybe that's because I'm Korean, [laughter] so that's because I'm Korean, [laughter] so that's because I'm Korean, [laughter] so I like pickled stuff. But it's cool that I like pickled stuff. But it's cool that I like pickled stuff. But it's cool that the Germans love all this pickled stuff the Germans love all this pickled stuff the Germans love all this pickled stuff like sauerkrauts and uh you know, like sauerkrauts and uh you know, like sauerkrauts and uh you know, pickled all kinds of stuff like pickled all kinds of stuff like pickled all kinds of stuff like >> works works well with beer. Compensates >> works works well with beer. Compensates >> works works well with beer. Compensates the beer. the beer. the beer. >> Oh, you know, the Koreans figured that >> Oh, you know, the Koreans figured that >> Oh, you know, the Koreans figured that out [laughter] a long time ago. So yeah, out [laughter] a long time ago. So yeah, out [laughter] a long time ago. So yeah, maybe uh maybe the Koreans are the maybe uh maybe the Koreans are the maybe uh maybe the Koreans are the Germans of Asia. So Germans of Asia. So Germans of Asia. So >> So German pickles and German beer.

>> So German pickles and German beer. >> So German pickles and German beer. >> Yeah, but I dig it. I dig it. And uh um >> Yeah, but I dig it. I dig it. And uh um >> Yeah, but I dig it. I dig it. And uh um yeah, there's But to be honest, there's yeah, there's But to be honest, there's yeah, there's But to be honest, there's not much to see here. not much to see here. not much to see here. >> What? >> What? >> What? >> And it's weird. I I get reminded on >> And it's weird. I I get reminded on >> And it's weird. I I get reminded on television and also on YouTube that television and also on YouTube that television and also on YouTube that Berlin was basically bombed to Berlin was basically bombed to Berlin was basically bombed to smitherines in, you know, World War II. smitherines in, you know, World War II. smitherines in, you know, World War II. And uh you know uh there there was East And uh you know uh there there was East And uh you know uh there there was East Berlin and there was West Berlin and Berlin and there was West Berlin and Berlin and there was West Berlin and they were two different worlds, right? they were two different worlds, right? they were two different worlds, right? And so And so And so >> yeah, you're right. Berlin is is not my >> yeah, you're right. Berlin is is not my >> yeah, you're right. Berlin is is not my favorite German town. Like if you go to favorite German town. Like if you go to favorite German town. Like if you go to Munich or or Nuremberg or they have way Munich or or Nuremberg or they have way Munich or or Nuremberg or they have way more historic things and the vibe is more historic things and the vibe is more historic things and the vibe is different. Berlin feels like it's been different. Berlin feels like it's been different. Berlin feels like it's been rebuilt. rebuilt. rebuilt. >> Yeah, Berlin's great, guys. You need to >> Yeah, Berlin's great, guys. You need to >> Yeah, Berlin's great, guys. You need to just shut up. Berlin is awesome. There's just shut up. Berlin is awesome. There's just shut up. Berlin is awesome. There's lots to do and there's no better vibe in lots to do and there's no better vibe in lots to do and there's no better vibe in Germany than the vibe they have in in Germany than the vibe they have in in Germany than the vibe they have in in Berlin. It's total counterculture. Berlin. It's total counterculture. Berlin. It's total counterculture. >> If you go to nightclubs, >> If you go to nightclubs, >> If you go to nightclubs, >> it's totally >> it's totally >> it's totally >> If you're 25 and you go to nightclubs, >> If you're 25 and you go to nightclubs, >> If you're 25 and you go to nightclubs, >> Yeah. rave and then go right to work >> Yeah. rave and then go right to work >> Yeah. rave and then go right to work from the club in the next morning. Yeah.

from the club in the next morning. Yeah. from the club in the next morning. Yeah. [laughter] [laughter] [laughter] >> A huge uh Berlin's a huge innovation hub >> A huge uh Berlin's a huge innovation hub >> A huge uh Berlin's a huge innovation hub for Germany. There's a lot of stuff for Germany. There's a lot of stuff for Germany. There's a lot of stuff going on with small companies doing going on with small companies doing going on with small companies doing great stuff. I like it. great stuff. I like it. great stuff. I like it. I'm a big believer that you find what I'm a big believer that you find what I'm a big believer that you find what you seek, Leonard. So, if you just say, you seek, Leonard. So, if you just say, you seek, Leonard. So, if you just say, "I'm going to find a bunch of awesome "I'm going to find a bunch of awesome "I'm going to find a bunch of awesome stuff in Berlin," you will find you you stuff in Berlin," you will find you you stuff in Berlin," you will find you you will find it. will find it. will find it. >> Yeah. Yeah. Um, you can find a lot of >> Yeah. Yeah. Um, you can find a lot of >> Yeah. Yeah. Um, you can find a lot of awesome Chinese food here for some weird awesome Chinese food here for some weird awesome Chinese food here for some weird reason. [laughter] >> Oh, no. The food is good. It's really >> Oh, no. The food is good. It's really enjoyable. And yeah, and you know, for a enjoyable. And yeah, and you know, for a enjoyable. And yeah, and you know, for a European country, the hotel rooms are European country, the hotel rooms are European country, the hotel rooms are nice and spacious. Oh, nice and spacious. Oh, nice and spacious. Oh, >> not like France >> not like France >> not like France >> where you open the door and it's your >> where you open the door and it's your >> where you open the door and it's your bed. [laughter] bed. [laughter] bed. [laughter] >> Yeah. Yeah. You can go like this and >> Yeah. Yeah. You can go like this and >> Yeah. Yeah. You can go like this and it's one side. it's one side. it's one side. >> Touch both sides. >> Touch both sides. >> Touch both sides. >> Yeah. I've been I've been in a lot of >> Yeah. I've been I've been in a lot of >> Yeah. I've been I've been in a lot of those. That's for sure. those. That's for sure. those. That's for sure. >> Oh, yeah. And I paid a lot for those in >> Oh, yeah. And I paid a lot for those in >> Oh, yeah. And I paid a lot for those in the past. So, Right.

the past. So, Right. the past. So, Right. >> Yeah. They're very expensive. >> Yeah. They're very expensive. >> Yeah. They're very expensive. >> Yeah. Um Yeah. It's pretty uh it's been >> Yeah. Um Yeah. It's pretty uh it's been >> Yeah. Um Yeah. It's pretty uh it's been interesting. So, I'm here I was here for interesting. So, I'm here I was here for interesting. So, I'm here I was here for or I am here for the Lenovo um or I am here for the Lenovo um or I am here for the Lenovo um innovation [snorts] world. That was innovation [snorts] world. That was innovation [snorts] world. That was pretty interesting. pretty interesting. pretty interesting. >> Yeah. Um it's much smaller than it was >> Yeah. Um it's much smaller than it was >> Yeah. Um it's much smaller than it was before because you know um two years ago before because you know um two years ago before because you know um two years ago there was a lot of hoopla about AIPC there was a lot of hoopla about AIPC there was a lot of hoopla about AIPC >> and um you know of course uh Microsoft >> and um you know of course uh Microsoft >> and um you know of course uh Microsoft put bad mouth in everyone you know you put bad mouth in everyone you know you put bad mouth in everyone you know you know bad taste in everyone's mouth with know bad taste in everyone's mouth with know bad taste in everyone's mouth with recall and uh I think like now they're recall and uh I think like now they're recall and uh I think like now they're trying to figure out okay is there story trying to figure out okay is there story trying to figure out okay is there story in the agentic era you know um and you in the agentic era you know um and you in the agentic era you know um and you know obviously there's a lot of interest know obviously there's a lot of interest know obviously there's a lot of interest in getting um agents and AI running on in getting um agents and AI running on in getting um agents and AI running on device because of open cloud which was I device because of open cloud which was I device because of open cloud which was I mean think about it that was only just mean think about it that was only just mean think about it that was only just at the beginning of this year right at the beginning of this year right at the beginning of this year right >> um but yeah I mean I they're everyone's >> um but yeah I mean I they're everyone's >> um but yeah I mean I they're everyone's tried to mature their thinking around tried to mature their thinking around tried to mature their thinking around this stuff and build capabilities to to this stuff and build capabilities to to this stuff and build capabilities to to make it even uh remotely safe for make it even uh remotely safe for make it even uh remotely safe for consumers and enterprises.

consumers and enterprises. consumers and enterprises. Um, Um, Um, yeah, there's there's still a lot of yeah, there's there's still a lot of yeah, there's there's still a lot of work to be done. That's all I can say. work to be done. That's all I can say. work to be done. That's all I can say. Um, but yeah, and I'm also here for Um, but yeah, and I'm also here for Um, but yeah, and I'm also here for EPHA. I only did one day because it's EPHA. I only did one day because it's EPHA. I only did one day because it's just freaking I'm just like, you know, just freaking I'm just like, you know, just freaking I'm just like, you know, burnt out already. burnt out already. burnt out already. >> Yeah, >> Yeah, >> Yeah, >> it's a lot of lot of um lot of um events >> it's a lot of lot of um lot of um events >> it's a lot of lot of um lot of um events happening already going into the fall. happening already going into the fall. happening already going into the fall. So, um, but you know, the weird thing So, um, but you know, the weird thing So, um, but you know, the weird thing about EPHA is you can see the whole about EPHA is you can see the whole about EPHA is you can see the whole freaking thing in a day. And they don't freaking thing in a day. And they don't freaking thing in a day. And they don't really have like these really have like these really have like these they don't have a lot of keynotes or at they don't have a lot of keynotes or at they don't have a lot of keynotes or at least keynotes that you would really, least keynotes that you would really, least keynotes that you would really, you know, would feel the ne the need to you know, would feel the ne the need to you know, would feel the ne the need to go to or this urgency or compulsion to go to or this urgency or compulsion to go to or this urgency or compulsion to go to. You can miss it and be okay and go to. You can miss it and be okay and go to. You can miss it and be okay and look this up on Google. Um look this up on Google. Um look this up on Google. Um but um yeah, I I I but um yeah, I I I but um yeah, I I I uh sat in on the AMD uh sat in on the AMD uh sat in on the AMD um keynote and that was probably the um keynote and that was probably the um keynote and that was probably the only notable one, which is weird because only notable one, which is weird because only notable one, which is weird because a couple years ago, I mean, everybody a couple years ago, I mean, everybody a couple years ago, I mean, everybody was having a having a big um shindig, was having a having a big um shindig, was having a having a big um shindig, you know. So, but um you know. So, but um you know. So, but um >> Wow.

>> Wow. >> Wow. >> Yeah. Not as you know, it's weird. you >> Yeah. Not as you know, it's weird. you >> Yeah. Not as you know, it's weird. you have a lot of those robots, but they're have a lot of those robots, but they're have a lot of those robots, but they're still remote control. still remote control. still remote control. >> Oh, >> Oh, >> Oh, >> I took a picture. So, I saw one like >> I took a picture. So, I saw one like >> I took a picture. So, I saw one like doing soccer and I went up to the uh to doing soccer and I went up to the uh to doing soccer and I went up to the uh to the um receptionist of the booth and I the um receptionist of the booth and I the um receptionist of the booth and I asked her, "So, where's the guy with the asked her, "So, where's the guy with the asked her, "So, where's the guy with the remote control remote control remote control [laughter] and then she points to this [laughter] and then she points to this [laughter] and then she points to this dude in the corner?" I thought he was dude in the corner?" I thought he was dude in the corner?" I thought he was going to be like hidden behind a curtain going to be like hidden behind a curtain going to be like hidden behind a curtain or something like that, but no, he's or something like that, but no, he's or something like that, but no, he's like sitting there. But, you know, like sitting there. But, you know, like sitting there. But, you know, obviously obviously obviously attempting to hide attempting to hide attempting to hide >> the best he could, but uh I knew that >> the best he could, but uh I knew that >> the best he could, but uh I knew that there was, you know, I was looking there was, you know, I was looking there was, you know, I was looking around the building. Go, where is this around the building. Go, where is this around the building. Go, where is this guy? Where is guy? Where is guy? Where is >> It's safety. It's safety. I mean the the >> It's safety. It's safety. I mean the the >> It's safety. It's safety. I mean the the the funny thing is that it you you want the funny thing is that it you you want the funny thing is that it you you want to show autonomous stuff to show autonomous stuff to show autonomous stuff >> but the event will not the event >> but the event will not the event >> but the event will not the event organizers will not allow you to have organizers will not allow you to have organizers will not allow you to have things autonom like running around things autonom like running around things autonom like running around autonomously because of safety issues. autonomously because of safety issues. autonomously because of safety issues. >> Yeah. >> Yeah. >> Yeah. >> And the worst place is the US >> And the worst place is the US >> And the worst place is the US >> worst place is the US to do that. the US >> worst place is the US to do that. the US >> worst place is the US to do that. the US is a disaster to do events uh when you is a disaster to do events uh when you is a disaster to do events uh when you want to bring live demos want to bring live demos want to bring live demos >> and always been I I remember when drone >> and always been I I remember when drone >> and always been I I remember when drone was like you know all crazy and you was like you know all crazy and you was like you know all crazy and you wanted to have drones at these big you wanted to have drones at these big you wanted to have drones at these big you know events in Vegas whatever and flying know events in Vegas whatever and flying know events in Vegas whatever and flying drones and it was like no and and then drones and it was like no and and then drones and it was like no and and then they they figured out a solution they they figured out a solution they they figured out a solution >> cages and stuff yeah >> cages and stuff yeah >> cages and stuff yeah >> yeah [clears throat] cages or they were >> yeah [clears throat] cages or they were >> yeah [clears throat] cages or they were telling us you have to have a license telling us you have to have a license telling us you have to have a license like a pilot license to to and you're like a pilot license to to and you're like a pilot license to to and you're just like what the it's just a

just like what the it's just a just like what the it's just a freaking drone Yeah. freaking drone Yeah. freaking drone Yeah. [laughter] [laughter] [laughter] >> But it leads to the Terminator T2000. >> And then you're telling them you're >> And then you're telling them you're telling them but I'm demonstrating it's telling them but I'm demonstrating it's telling them but I'm demonstrating it's avoiding obstacles on its own. So it's avoiding obstacles on its own. So it's avoiding obstacles on its own. So it's safe, right? Just like but what if it safe, right? Just like but what if it safe, right? Just like but what if it doesn't work? Like that's the demo. It doesn't work? Like that's the demo. It doesn't work? Like that's the demo. It [laughter] works. [laughter] works. [laughter] works. >> Yeah. But, you know, um I think one of >> Yeah. But, you know, um I think one of >> Yeah. But, you know, um I think one of they're they're creating a problem for they're they're creating a problem for they're they're creating a problem for themselves by showcasing how uh either themselves by showcasing how uh either themselves by showcasing how uh either how they [clears throat] can beat the how they [clears throat] can beat the how they [clears throat] can beat the crap out of these things and they the crap out of these things and they the crap out of these things and they the robot can defend themselves or they have robot can defend themselves or they have robot can defend themselves or they have the robots beat the crap out of each the robots beat the crap out of each the robots beat the crap out of each other, right? So, it's either a human other, right? So, it's either a human other, right? So, it's either a human beating the crap out of a robot or beating the crap out of a robot or beating the crap out of a robot or people putting two robots together to people putting two robots together to people putting two robots together to have them beat the crap out of each have them beat the crap out of each have them beat the crap out of each other. So, I don't know that they're not other. So, I don't know that they're not other. So, I don't know that they're not exactly seen movie before. exactly seen movie before. exactly seen movie before. >> Yeah, we've seen this movie. [laughter] >> It's all coming true. >> It's all coming true. >> Yeah. And then you know imagine you >> Yeah. And then you know imagine you >> Yeah. And then you know imagine you you're doing you were creating your you're doing you were creating your you're doing you were creating your world world model for world world world model for world world world model for world understanding and you train on all all understanding and you train on all all understanding and you train on all all these uh YouTube videos which of like these uh YouTube videos which of like these uh YouTube videos which of like you know robot wars or whatever these you know robot wars or whatever these you know robot wars or whatever these like you know robot uh [snorts] like you know robot uh [snorts] like you know robot uh [snorts] you know uh boxing matches or kung fu you know uh boxing matches or kung fu you know uh boxing matches or kung fu kung fu demonstrations. [gasps] kung fu demonstrations. [gasps] kung fu demonstrations. [gasps] >> It's going to happen. [laughter] >> It's going to happen. [laughter] >> It's going to happen. [laughter] That's how you get the alignment issues That's how you get the alignment issues That's how you get the alignment issues embedded into those models, right?

embedded into those models, right? embedded into those models, right? That's like the Tay the Tay element that That's like the Tay the Tay element that That's like the Tay the Tay element that that trickles in. that trickles in. that trickles in. >> Yeah. But [clears throat] >> Yeah. But [clears throat] >> Yeah. But [clears throat] Leonard, you've been watching too many Leonard, you've been watching too many Leonard, you've been watching too many movies and and be be reassured the CRA movies and and be be reassured the CRA movies and and be be reassured the CRA is going to save us. You're good. Like is going to save us. You're good. Like is going to save us. You're good. Like when the the you know, the Cyber when the the you know, the Cyber when the the you know, the Cyber Resilience Act from Europe is going to Resilience Act from Europe is going to Resilience Act from Europe is going to save us. You're good. save us. You're good. save us. You're good. >> Oh yeah. Yeah. >> Oh yeah. Yeah. >> Oh yeah. Yeah. >> Yeah. It [laughter] won't make it won't >> Yeah. It [laughter] won't make it won't >> Yeah. It [laughter] won't make it won't make any difference. make any difference. make any difference. >> Oh dear. We need to enforce the three >> Oh dear. We need to enforce the three >> Oh dear. We need to enforce the three rules of Azimov. I think I think this is rules of Azimov. I think I think this is rules of Azimov. I think I think this is what we need to do. what we need to do. what we need to do. >> Yeah. Yeah. Yeah. The three rules of >> Yeah. Yeah. Yeah. The three rules of >> Yeah. Yeah. Yeah. The three rules of Azimov. Yeah. Azimov. Yeah. Azimov. Yeah. >> Yeah. >> Yeah. >> Yeah. >> It's been written when like when has it >> It's been written when like when has it >> It's been written when like when has it been written actually before AI was even been written actually before AI was even been written actually before AI was even an idea? an idea? an idea? >> You know that makes me think about >> You know that makes me think about >> You know that makes me think about something I believe you know how you something I believe you know how you something I believe you know how you have these people. No offense to any of have these people. No offense to any of have these people. No offense to any of you on this show who call yourself a you on this show who call yourself a you on this show who call yourself a futurist, futurist, futurist, but you know, you know, on LinkedIn, but you know, you know, on LinkedIn, but you know, you know, on LinkedIn, people love to say I'm a futurist on people love to say I'm a futurist on people love to say I'm a futurist on their profile or I'm an innovator or I'm their profile or I'm an innovator or I'm their profile or I'm an innovator or I'm some awesome thing. some awesome thing. some awesome thing. >> Uh anyway, >> Uh anyway, >> Uh anyway, >> I think I should I want to call myself >> I think I should I want to call myself >> I think I should I want to call myself an OG. I think we should do that.

an OG. I think we should do that. an OG. I think we should do that. >> Yeah. Yeah. [laughter] >> Yeah. Yeah. [laughter] >> Yeah. Yeah. [laughter] I really believe the true futurists were I really believe the true futurists were I really believe the true futurists were the science fiction writers who wrote the science fiction writers who wrote the science fiction writers who wrote all these stories. A lot of them back in all these stories. A lot of them back in all these stories. A lot of them back in the 50s, some in the 40s the 50s, some in the 40s the 50s, some in the 40s >> that ended up becoming movies today. And >> that ended up becoming movies today. And >> that ended up becoming movies today. And we look to those as a guide to where we we look to those as a guide to where we we look to those as a guide to where we want to go in our real future. Um it's want to go in our real future. Um it's want to go in our real future. Um it's it's really interesting. And so yeah, it's really interesting. And so yeah, it's really interesting. And so yeah, like Azimoff, Heidine, um you know, Gene like Azimoff, Heidine, um you know, Gene like Azimoff, Heidine, um you know, Gene Rodenberry, all these [clears throat] Rodenberry, all these [clears throat] Rodenberry, all these [clears throat] >> uh whatever what uh what's his name? K. >> uh whatever what uh what's his name? K. >> uh whatever what uh what's his name? K. Dick, you know, who did ultimately like Dick, you know, who did ultimately like Dick, you know, who did ultimately like five or six movies came. I think those five or six movies came. I think those five or six movies came. I think those were the two f true futurists. They were were the two f true futurists. They were were the two f true futurists. They were sci-fi writers. sci-fi writers. sci-fi writers. >> Yeah. >> Yeah. >> Yeah. >> Dainci. >> Dainci. >> Dainci. >> Yeah. Da Vinci for sure. >> Yeah. Da Vinci for sure. >> Yeah. Da Vinci for sure. >> Yeah. >> Yeah. >> Yeah. >> Absolutely. >> Absolutely. >> Absolutely. >> Which begs the question is is time >> Which begs the question is is time >> Which begs the question is is time travel something. Does it exist? Cuz travel something. Does it exist? Cuz travel something. Does it exist? Cuz like how could they have seen that like how could they have seen that like how could they have seen that coming so far ahead? I mean all of them. coming so far ahead? I mean all of them. coming so far ahead? I mean all of them. >> Like you read as spooks, >> Like you read as spooks, >> Like you read as spooks, >> he came back. That's my theory here. >> he came back. That's my theory here. >> he came back. That's my theory here. >> Yeah. [laughter] Yeah.

>> Yeah. [laughter] Yeah. >> Yeah. [laughter] Yeah. >> They say time doesn't exist. It >> They say time doesn't exist. It >> They say time doesn't exist. It everything's all at once. It's just our everything's all at once. It's just our everything's all at once. It's just our view of it. view of it. view of it. >> Yeah. >> Yeah. >> Yeah. >> So >> So >> So >> there you go. >> there you go. >> there you go. >> That's what we learned in interstellar >> That's what we learned in interstellar >> That's what we learned in interstellar [laughter] [laughter] [laughter] >> at the end. You can see all timeline all >> at the end. You can see all timeline all >> at the end. You can see all timeline all at once at once at once >> and we communicate across dimensions >> and we communicate across dimensions >> and we communicate across dimensions with gravity. with gravity. with gravity. >> And you know when you think about it, >> And you know when you think about it, >> And you know when you think about it, futurism is kind of like uh you know futurism is kind of like uh you know futurism is kind of like uh you know simulation and and prediction. simulation and and prediction. simulation and and prediction. prediction simulation in, you know, your prediction simulation in, you know, your prediction simulation in, you know, your head, you know, your imagination. And it head, you know, your imagination. And it head, you know, your imagination. And it it it is kind of impressive how it it is kind of impressive how it it is kind of impressive how thoroughly some of these folks that you thoroughly some of these folks that you thoroughly some of these folks that you cited have thought these things through, cited have thought these things through, cited have thought these things through, you know, like um you know, like um you know, like um >> Yeah. um and you know all the the issues >> Yeah. um and you know all the the issues >> Yeah. um and you know all the the issues that we will have with progress and that we will have with progress and that we will have with progress and technologies to to be able to um you technologies to to be able to um you technologies to to be able to um you know think through how those narratives know think through how those narratives know think through how those narratives would play out is pretty impressive as would play out is pretty impressive as would play out is pretty impressive as well. I mean you know they they already well. I mean you know they they already well. I mean you know they they already kind I mean credit to them they've kind I mean credit to them they've kind I mean credit to them they've already kind of figured a lot of the already kind of figured a lot of the already kind of figured a lot of the stuff out you know.

stuff out you know. stuff out you know. >> Okay now that Devon's gone I guess we're >> Okay now that Devon's gone I guess we're >> Okay now that Devon's gone I guess we're going to have to shut this show down going to have to shut this show down going to have to shut this show down because because because >> Yeah. [laughter] Sounds like it was >> Yeah. [laughter] Sounds like it was >> Yeah. [laughter] Sounds like it was great. Well, yeah. great. Well, yeah. great. Well, yeah. >> You know, people have real jobs. >> You know, people have real jobs. >> You know, people have real jobs. >> Oh. Oh, real jobs. >> Oh. Oh, real jobs. >> Oh. Oh, real jobs. >> Yeah. Yeah. What's that? >> Yeah. Yeah. What's that? >> Yeah. Yeah. What's that? >> Oh my god. Wow. Well, thanks for >> Oh my god. Wow. Well, thanks for >> Oh my god. Wow. Well, thanks for everybody for joining us on this amazing everybody for joining us on this amazing everybody for joining us on this amazing episode of IoT Coffee Talk where we went episode of IoT Coffee Talk where we went episode of IoT Coffee Talk where we went all the way back to the origin story of all the way back to the origin story of all the way back to the origin story of the industry 4.0 club the industry 4.0 club the industry 4.0 club um that we used to all listen to back in um that we used to all listen to back in um that we used to all listen to back in 2020. 2020. 2020. >> Clubhouse. Yeah. >> Clubhouse. Yeah. >> Clubhouse. Yeah. >> Yeah. Yeah. and Leonard hated it when I >> Yeah. Yeah. and Leonard hated it when I >> Yeah. Yeah. and Leonard hated it when I was like, "Hey, let's live broadcast was like, "Hey, let's live broadcast was like, "Hey, let's live broadcast coffee talk on Clubhouse coffee talk on Clubhouse coffee talk on Clubhouse simultaneously." We did it a few times. simultaneously." We did it a few times. simultaneously." We did it a few times. It was stupid. [laughter] >> We actually had those episodes and they >> We actually had those episodes and they were terrible. Well, they were actually were terrible. Well, they were actually were terrible. Well, they were actually pretty good. It was the whole whole pretty good. It was the whole whole pretty good. It was the whole whole experience though. Uh experience though. Uh experience though. Uh >> we were trying to do like a simo cast, >> we were trying to do like a simo cast, >> we were trying to do like a simo cast, you know. you know. you know. >> Yeah, that was terrible. >> Yeah, that was terrible. >> Yeah, that was terrible. >> We're not very We're not really smart >> We're not very We're not really smart >> We're not very We're not really smart people, so we're lucky this even works. people, so we're lucky this even works. people, so we're lucky this even works. So, [laughter] So, [laughter] So, [laughter] yeah. Uh, thanks for joining us yeah. Uh, thanks for joining us yeah. Uh, thanks for joining us everybody and we'll see you next week.

everybody and we'll see you next week. everybody and we'll see you next week. Stay safe. It looks like uh, Skynet came Stay safe. It looks like uh, Skynet came Stay safe. It looks like uh, Skynet came self-aware. Was it last week or the week self-aware. Was it last week or the week self-aware. Was it last week or the week before? I think is when it came before? I think is when it came before? I think is when it came self-aware. We haven't had the volley of self-aware. We haven't had the volley of self-aware. We haven't had the volley of nukes yet. So maybe we're going to be nukes yet. So maybe we're going to be nukes yet. So maybe we're going to be okay. I don't know. We'll we'll check it okay. I don't know. We'll we'll check it okay. I don't know. We'll we'll check it out. I know you've all seen all the same out. I know you've all seen all the same out. I know you've all seen all the same memes that I did, you know, where Arnold memes that I did, you know, where Arnold memes that I did, you know, where Arnold Schwarzenegger is looking at you and Schwarzenegger is looking at you and Schwarzenegger is looking at you and saying, "It became self awaren on August saying, "It became self awaren on August saying, "It became self awaren on August 28th 28th 28th at 3:05 p.m. Eastern time. [laughter] >> All right, >> All right, >> and make sure you guys have fun as fun >> and make sure you guys have fun as fun >> and make sure you guys have fun as fun as usual. as usual. as usual. >> Always good. Elevate communities. All >> Always good. Elevate communities. All >> Always good. Elevate communities. All righty. righty. righty. >> Elevate our communities. Yes, >> Elevate our communities. Yes, >> Elevate our communities. Yes, >> exactly. Do that stuff. [music]