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iOT Coffee Talk July 6, 2025 1h 2m

IoT Coffee Talk Webcast Episode 268 - "Digital Twin Revolution (4th of July 2025 Edition)"

Read full transcript 54 segments
  1. Okay. Okay. Okay, take 25. Okay, take 25. Okay, take 25. All right. So, I'm going to have to All right. So, I'm going to have to All right. So, I'm going to have to overdub this. overdub this. overdub this. We're going to pretend that I I I We're going to pretend that I I I We're going to pretend that I I I All right, try it one more time All right, try it one more time All right, try it one more time while I get coffee. while I get coffee. while I get coffee. Okay.

  2. Outstanding. Outstanding. That was a perfect perfect rendition of That was a perfect perfect rendition of That was a perfect perfect rendition of the national anthem. the national anthem. the national anthem. Well, Well, Well, I'm I'm glad you did another take. You I'm I'm glad you did another take. You I'm I'm glad you did another take. You You get You nailed it. It's good. That You get You nailed it. It's good. That You get You nailed it. It's good. That was good. Very Jimmy Hendrix of you. was good. Very Jimmy Hendrix of you. was good. Very Jimmy Hendrix of you. Oh my gosh. Oh my gosh. Oh my gosh. Yes. Yes. Yes. Happy birthday, USA. IT'S THE 4TH OF JULY. IT'S THE 4TH OF JULY. YEAH. YEAH. YEAH. People are wondering why we're even People are wondering why we're even People are wondering why we're even recording this because recording this because recording this because it's a national holiday in the US, but it's a national holiday in the US, but it's a national holiday in the US, but You are going to play the the national You are going to play the the national You are going to play the the national song, or song, or song, or He did. He did. He did. did. did. did. Oh, you Oh, you Oh, wow. Oh, you Oh, you Oh, wow. Oh, you Oh, you Oh, wow. You're going to have to You're going to You're going to have to You're going to You're going to have to You're going to have to watch You're going to have to have to watch You're going to have to have to watch You're going to have to watch the recording, Mark. watch the recording, Mark. watch the recording, Mark. Yeah. Yeah. Yeah. Yeah. It was very It was very epic. And you know, And you know, last night I watched Independence Day. last night I watched Independence Day. last night I watched Independence Day. You did? You did? You did? And you know, it's like you have to do And you know, it's like you have to do And you know, it's like you have to do it every you know, "WE WON'T GO QUIETLY it every you know, "WE WON'T GO QUIETLY it every you know, "WE WON'T GO QUIETLY into the night.

  3. into the night. into the night. We won't go We won't go We won't go We won't disappear without a fight." We won't disappear without a fight." We won't disappear without a fight." Yeah. I mean, it's the aliens. Yeah. I mean, it's the aliens. Yeah. I mean, it's the aliens. Oh, yeah. Oh, yeah. Oh, yeah. Epic. Let's not go there. Let's not go there. Let's not. Let's not. Let's not. Oh, man. All right. All right. Oh, man. All right. All right. Oh, man. All right. All right. Yeah. So, what Hey, Yeah. So, what Hey, Yeah. So, what Hey, Olivier, it's great to have you back. Olivier, it's great to have you back. Olivier, it's great to have you back. What's up, man? What's up, man? What's up, man? Good to have you Good to be back. Um Good to have you Good to be back. Um Good to have you Good to be back. Um yeah, well, yeah, well, yeah, well, I've been busy I've been busy I've been busy integrating, you know, OT with IT. And integrating, you know, OT with IT. And integrating, you know, OT with IT. And whining a little bit about the fights whining a little bit about the fights whining a little bit about the fights between the two populations there. between the two populations there. between the two populations there. Why are we still fighting? Why are we still fighting? Why are we still fighting? Interesting. Interesting. Interesting. That's what I want to know. Why are we That's what I want to know. Why are we That's what I want to know. Why are we still fighting about IT and OT? How can still fighting about IT and OT? How can still fighting about IT and OT? How can we just can't all get along, huh? we just can't all get along, huh? we just can't all get along, huh? It It does feel like a a I said that on It It does feel like a a I said that on It It does feel like a a I said that on that last IT show episode like a clash that last IT show episode like a clash that last IT show episode like a clash of the clans where they are clans, of the clans where they are clans, of the clans where they are clans, they're neighbors, they're friends, they're neighbors, they're friends, they're neighbors, they're friends, they're family, right? And they're still they're family, right? And they're still they're family, right? And they're still fighting. What's going on there?

  4. fighting. What's going on there? fighting. What's going on there? Yeah. You know what it is? Yeah. You know what it is? Yeah. You know what it is? Those OT guys think the IT guys are full Those OT guys think the IT guys are full Those OT guys think the IT guys are full of of of Um they think the IT guys brought all Um they think the IT guys brought all Um they think the IT guys brought all the problems on them, all the viruses, the problems on them, all the viruses, the problems on them, all the viruses, all the hackers, all the bad things. all the hackers, all the bad things. all the hackers, all the bad things. All the network closure, yeah. All the network closure, yeah. All the network closure, yeah. Are they right? Are they right or not? Are they right? Are they right or not? Are they right? Are they right or not? They're right. And my computer just They're right. And my computer just They're right. And my computer just froze. froze. froze. Oop. You're good. You're still with us, Oop. You're good. You're still with us, Oop. You're good. You're still with us, Rob. Rob. Rob. You didn't You look fine. You didn't You look fine. You didn't You look fine. Fine, yeah. Fine, yeah. Fine, yeah. All right. My computer screen just like All right. My computer screen just like All right. My computer screen just like went black and everything. You know like went black and everything. You know like went black and everything. You know like when your like Windows decides to update when your like Windows decides to update when your like Windows decides to update the video drivers while you're using the the video drivers while you're using the the video drivers while you're using the computer. computer. computer. Yeah. Yeah. Yeah. It's like that. It's like that. It's like that. It's like your camera what It's like your camera what It's like your camera what Just let it be. All right, I'm just Just let it be. All right, I'm just Just let it be. All right, I'm just going to sit back. You're on camera. going to sit back. You're on camera. going to sit back. You're on camera. You're good. Just forget about that. You're good. Just forget about that. You're good. Just forget about that. Somebody Somebody Somebody Somebody posted something funny on a Somebody posted something funny on a Somebody posted something funny on a Microsoft old-timers this morning about Microsoft old-timers this morning about Microsoft old-timers this morning about a scenario where Windows didn't update a scenario where Windows didn't update a scenario where Windows didn't update itself and put bloatware and do all itself and put bloatware and do all itself and put bloatware and do all kinds of bad things to you. Yeah.

  5. Yeah. Right. Now it says a message telling you Right. Now it says a message telling you Right. Now it says a message telling you you're fired. you're fired. you're fired. Now it says Zoom is not responding. Now it says Zoom is not responding. Now it says Zoom is not responding. Would you like to send to Zoom, you Would you like to send to Zoom, you Would you like to send to Zoom, you know? It maybe doesn't like my graphics know? It maybe doesn't like my graphics know? It maybe doesn't like my graphics card. card. card. Yeah, just wait for it to come back. It Yeah, just wait for it to come back. It Yeah, just wait for it to come back. It will just like will just like will just like All right. All right. All right. at some point just at some point just at some point just Maybe it'll auto Maybe it'll auto Maybe it'll auto You're like it's like these You're like it's like these You're like it's like these inflatable big huge things at a car inflatable big huge things at a car inflatable big huge things at a car dealership. Like at some point Windows dealership. Like at some point Windows dealership. Like at some point Windows will like, "Ooh, I'm back." And then will like, "Ooh, I'm back." And then will like, "Ooh, I'm back." And then maybe not, right? I'm going to upgrade my laptop to I'm going to upgrade my laptop to Windows 98 SE. Yeah, I see. Yeah, I see. you to install Windows Vista. you to install Windows Vista. you to install Windows Vista. Special edition. Special edition. Special edition. Oh, wow. Oh, wow. Oh, wow. I don't know if I could go Vista. I don't know if I could go Vista. I don't know if I could go Vista. You know, as you know, we had this one You know, as you know, we had this one You know, as you know, we had this one version of the operating system that we version of the operating system that we version of the operating system that we could not get people to stop using and could not get people to stop using and could not get people to stop using and it was called Windows XP. it was called Windows XP. it was called Windows XP. Oh, yeah. Oh, yeah. Oh, yeah. And I feel like we spent more than a And I feel like we spent more than a And I feel like we spent more than a decade trying to get people, companies decade trying to get people, companies decade trying to get people, companies to stop using it. But you know why they to stop using it. But you know why they to stop using it. But you know why they kept using it? Cuz it just worked. It kept using it? Cuz it just worked. It kept using it? Cuz it just worked. It was like a workhorse, you know? It just was like a workhorse, you know? It just was like a workhorse, you know? It just did.

  6. did. did. You know? You know? You know? Yeah, my heart doesn't agree with that Yeah, my heart doesn't agree with that Yeah, my heart doesn't agree with that statement. statement. statement. And we're like, "But we got something And we're like, "But we got something And we're like, "But we got something better for you to upgrade to from XP. better for you to upgrade to from XP. better for you to upgrade to from XP. It's called Windows Vista." It's called Windows Vista." It's called Windows Vista." Yeah. Yeah. Yeah. It's prettier. It's prettier. It's prettier. Yeah, it's prettier. Right. Yeah, it's prettier. Right. Yeah, it's prettier. Right. Yeah, right. Yeah, right. Yeah, right. So So back to that OTIT thing, I think So So back to that OTIT thing, I think So So back to that OTIT thing, I think I I realized that the the choice for the I I realized that the the choice for the I I realized that the the choice for the acronym IoT was the worst ever cuz acronym IoT was the worst ever cuz acronym IoT was the worst ever cuz Yeah. Yeah. Yeah. poor people from OT were convinced IoT poor people from OT were convinced IoT poor people from OT were convinced IoT was from IT and poor people from IT was from IT and poor people from IT was from IT and poor people from IT believe that IoT comes from OT. believe that IoT comes from OT. believe that IoT comes from OT. Yeah. Yeah. Yeah. Yeah, and it's disaster. So like both Yeah, and it's disaster. So like both Yeah, and it's disaster. So like both like all the letters are in that like all the letters are in that like all the letters are in that acronym. But IoT, as I was saying, could acronym. But IoT, as I was saying, could acronym. But IoT, as I was saying, could be that missing link to reunite the be that missing link to reunite the be that missing link to reunite the clans. clans. clans. Yeah. Yeah. Yeah. Absolutely. Do you think it was random Absolutely. Do you think it was random Absolutely. Do you think it was random the name was completely Yeah, it It was, the name was completely Yeah, it It was, the name was completely Yeah, it It was, right? It was not related to industry at right? It was not related to industry at right? It was not related to industry at the beginning. the beginning. the beginning. I don't think the terms IT and OT were I don't think the terms IT and OT were I don't think the terms IT and OT were IT was used certainly at the time we IT was used certainly at the time we IT was used certainly at the time we invented IoT as a term.

  7. invented IoT as a term. invented IoT as a term. Um Um Um uh but OT, I'm not so sure. uh but OT, I'm not so sure. uh but OT, I'm not so sure. I I think it's a more recent term. I I think it's a more recent term. I I think it's a more recent term. Isn't it? Isn't it? Isn't it? No. No. No. No, I don't know. No, I don't know. No, I don't know. So So So I don't know in my experience, I don't know in my experience, I don't know in my experience, particularly at Hitachi, I was I spent particularly at Hitachi, I was I spent particularly at Hitachi, I was I spent most of my time with the OT guys most of my time with the OT guys most of my time with the OT guys um in Japan um in Japan um in Japan in factories all the time. And in factories all the time. And in factories all the time. And and actually they were really nice guys, and actually they were really nice guys, and actually they were really nice guys, to be honest with you. to be honest with you. to be honest with you. I mean the the SCADA and the MES guys I mean the the SCADA and the MES guys I mean the the SCADA and the MES guys have been around forever, right? have been around forever, right? have been around forever, right? Yeah. And and and so they were like, Yeah. And and and so they were like, Yeah. And and and so they were like, we've been around forever. You know, the we've been around forever. You know, the we've been around forever. You know, the whole thing just became it's as soon as whole thing just became it's as soon as whole thing just became it's as soon as we tried to make that connection we tried to make that connection we tried to make that connection um and it started with network um and it started with network um and it started with network connections, right? connections, right? connections, right? Um that's when bad gremlins were able to Um that's when bad gremlins were able to Um that's when bad gremlins were able to cross over into the OT land. cross over into the OT land. cross over into the OT land. You know, and that and that's kind of You know, and that and that's kind of You know, and that and that's kind of got that's kind of where the war started got that's kind of where the war started got that's kind of where the war started right there. It's like, why did you do right there. It's like, why did you do right there. It's like, why did you do that? that? that? Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Because prior to that Because prior to that Because prior to that you had said machine on the factory you had said machine on the factory you had said machine on the factory floor and it was just connected to a floor and it was just connected to a floor and it was just connected to a nearby Windows 95 computer nearby Windows 95 computer nearby Windows 95 computer showing, you know, some analytics and showing, you know, some analytics and showing, you know, some analytics and stuff like that, you know, using um stuff like that, you know, using um stuff like that, you know, using um the magic of OLE automation.

  8. the magic of OLE automation. the magic of OLE automation. Uh-oh. Uh-oh. Uh-oh. Oh. Oh. Oh. What happened? What happened? What happened? Now, we lost him. Now, we lost him. Now, we lost him. Windows got to restart it. Windows got to restart it. Windows got to restart it. Um Um Um And it's GOING TO RESTART. ALL RIGHT. SO, SINCE HE'S GONE, let's do ALL RIGHT. SO, SINCE HE'S GONE, let's do our disclaimer. our disclaimer. our disclaimer. Oh jeez, I forgot what it is. Oh jeez, I forgot what it is. Oh jeez, I forgot what it is. Uh yeah, take us seriously at your own Uh yeah, take us seriously at your own Uh yeah, take us seriously at your own risk. risk. risk. That's right. Uh yeah, we're just here to have fun. Uh yeah, we're just here to have fun. And if we accidentally say something And if we accidentally say something And if we accidentally say something insightful and meaningful, then um good insightful and meaningful, then um good insightful and meaningful, then um good for you. for you. for you. Hey hey, remind me, is this the way it Hey hey, remind me, is this the way it Hey hey, remind me, is this the way it goes? goes? goes? I I'm drawing a blank. I don't know I I'm drawing a blank. I don't know I I'm drawing a blank. I don't know what's happened to me this morning. You what's happened to me this morning. You what's happened to me this morning. You know, I just cut a know, I just cut a know, I just cut a a podcast earlier before that, you know, a podcast earlier before that, you know, a podcast earlier before that, you know, that's why I was late in starting this that's why I was late in starting this that's why I was late in starting this recording, but recording, but recording, but how do we do this? Anyways, yeah, we're how do we do this? Anyways, yeah, we're how do we do this? Anyways, yeah, we're just here to have fun. Hopefully you'll just here to have fun. Hopefully you'll just here to have fun. Hopefully you'll have fun as well. Uh an unintended have fun as well. Uh an unintended have fun as well. Uh an unintended outcome outcome outcome of our discussion was will undoubtedly of our discussion was will undoubtedly of our discussion was will undoubtedly be a couple of nuggets of insight that be a couple of nuggets of insight that be a couple of nuggets of insight that will make all the difference in your will make all the difference in your will make all the difference in your business.

  9. business. business. Will make all the difference in Will make all the difference in Will make all the difference in industry. industry. industry. In in your life. In your life. In in your life. In your life. In in your life. In your life. life. life. life. Yeah, I mean Yeah, I mean Yeah, I mean think about how impactful this episode think about how impactful this episode think about how impactful this episode is going to be. is going to be. is going to be. Totally. Totally. And just just for the Totally. Totally. And just just for the Totally. Totally. And just just for the sake of of making sure So, I was saying sake of of making sure So, I was saying sake of of making sure So, I was saying that the term OT appeared after the term that the term OT appeared after the term that the term OT appeared after the term IoT and that's confirmed. Gartner coined IoT and that's confirmed. Gartner coined IoT and that's confirmed. Gartner coined OT or started using that term OT or started using that term OT or started using that term operational technology. Not saying that operational technology. Not saying that operational technology. Not saying that the technology was used years before the technology was used years before the technology was used years before not, but Gartner is starting to say not, but Gartner is starting to say not, but Gartner is starting to say that. that. that. 2006 2006 2006 the term IoT was 1999, right? So, I was the term IoT was 1999, right? So, I was the term IoT was 1999, right? So, I was right. right. right. Oh, well. Oh, well. Oh, well. Oh, well, Gartner said it. Yeah. Oh, well, Gartner said it. Yeah. Oh, well, Gartner said it. Yeah. Gartner said it and cool pilot just told Gartner said it and cool pilot just told Gartner said it and cool pilot just told me, so must be must be true, right? me, so must be must be true, right? me, so must be must be true, right? That's like saying McKinsey came out and That's like saying McKinsey came out and That's like saying McKinsey came out and said blah blah blah blah blah. said blah blah blah blah blah. said blah blah blah blah blah. You know. You know. You know. It'll be a $50 billion industry by 2020. It'll be a $50 billion industry by 2020. It'll be a $50 billion industry by 2020. It's an acronym for this is what these It's an acronym for this is what these It's an acronym for this is what these guys we just discovered have been doing guys we just discovered have been doing guys we just discovered have been doing and are doing and are doing and are doing that we didn't know about.

  10. that we didn't know about. that we didn't know about. Yeah. Yeah. Yeah. We're going to start a team who's going We're going to start a team who's going We're going to start a team who's going to try to figure out what the hell these to try to figure out what the hell these to try to figure out what the hell these Isn't it all interesting there was that Isn't it all interesting there was that Isn't it all interesting there was that time that we thought the important thing time that we thought the important thing time that we thought the important thing was that it you know, so yeah, so was that it you know, so yeah, so was that it you know, so yeah, so Gartner, General Electric cuz GE was Gartner, General Electric cuz GE was Gartner, General Electric cuz GE was still a thing back then, Ericsson, they still a thing back then, Ericsson, they still a thing back then, Ericsson, they all said 50 billion devices by 2020 and all said 50 billion devices by 2020 and all said 50 billion devices by 2020 and everybody thought that was the the goal everybody thought that was the the goal everybody thought that was the the goal or the yardstick or whatever to achieve. or the yardstick or whatever to achieve. or the yardstick or whatever to achieve. Like that was what success meant. Was Like that was what success meant. Was Like that was what success meant. Was and you had people at Cisco and you had people at Cisco and you had people at Cisco everything that can be connected should everything that can be connected should everything that can be connected should be connected. Let's just have a be connected. Let's just have a be connected. Let's just have a connection party. connection party. connection party. Yeah, internet of everything. Yeah, internet of everything. Yeah, internet of everything. That's right. That's right. That's right. That's right. That's right. That's right. Things, everything. Things, everything. Things, everything. Internet of everything, you know? And Internet of everything, you know? And Internet of everything, you know? And you know what? I remember our good you know what? I remember our good you know what? I remember our good friend Maribel Yumas. friend Maribel Yumas. friend Maribel Yumas. Maribel Lopez, you know, doing lots of Maribel Lopez, you know, doing lots of Maribel Lopez, you know, doing lots of videos for Cisco back then and we're videos for Cisco back then and we're videos for Cisco back then and we're going to do this and everything like going to do this and everything like going to do this and everything like that, you know, and um you know, was I that, you know, and um you know, was I that, you know, and um you know, was I don't know if that was the right thing, don't know if that was the right thing, don't know if that was the right thing, you know, trying to go after a number of you know, trying to go after a number of you know, trying to go after a number of connected devices. That it's very That's connected devices. That it's very That's connected devices. That it's very That's very telco sounding, very I live in SIM very telco sounding, very I live in SIM very telco sounding, very I live in SIM cards. Uh how many SIMs can I sell? That cards. Uh how many SIMs can I sell? That cards. Uh how many SIMs can I sell? That kind of thing.

  11. kind of thing. kind of thing. Um and then and then yeah, McKinsey said Um and then and then yeah, McKinsey said Um and then and then yeah, McKinsey said it was going to be 11 trillion-dollar it was going to be 11 trillion-dollar it was going to be 11 trillion-dollar marketplace. And so that's why all the marketplace. And so that's why all the marketplace. And so that's why all the companies went all in. companies went all in. companies went all in. And uh gosh, I don't know. Olivier And uh gosh, I don't know. Olivier And uh gosh, I don't know. Olivier probably remembers um you know, back in probably remembers um you know, back in probably remembers um you know, back in the early days of Azure IoT after we the early days of Azure IoT after we the early days of Azure IoT after we migrated off from intelligent system migrated off from intelligent system migrated off from intelligent system service, um you know, Satya came out and service, um you know, Satya came out and service, um you know, Satya came out and said, "We're going to invest $5 billion said, "We're going to invest $5 billion said, "We're going to invest $5 billion in IoT because it's the biggest thing of in IoT because it's the biggest thing of in IoT because it's the biggest thing of all time, you know, cuz my friends at all time, you know, cuz my friends at all time, you know, cuz my friends at McKinsey just told me." McKinsey just told me." McKinsey just told me." Yeah. Yeah. Yeah. And so uh gosh, a whole lot of And so uh gosh, a whole lot of And so uh gosh, a whole lot of investment was made, a whole lot of investment was made, a whole lot of investment was made, a whole lot of people were hired, and then a whole lot people were hired, and then a whole lot people were hired, and then a whole lot of people were laid off. of people were laid off. of people were laid off. Yeah, well, just like metaverse. Oh, we Yeah, well, just like metaverse. Oh, we Yeah, well, just like metaverse. Oh, we are a metaverse company. are a metaverse company. are a metaverse company. Yes. Yes. Yes. Two years later. Two years later. Two years later. That term came in and went. Oh, by the That term came in and went. Oh, by the That term came in and went. Oh, by the way, Rob, that makes me think um way, Rob, that makes me think um way, Rob, that makes me think um I'm seeing more and more people not I'm seeing more and more people not I'm seeing more and more people not using the word digital twins, but using the word digital twins, but using the word digital twins, but needing and wanting to use needing and wanting to use needing and wanting to use the concept of digital twin. Like the concept of digital twin. Like the concept of digital twin. Like modeling their data, establishing modeling their data, establishing modeling their data, establishing relationship when they get to a place relationship when they get to a place relationship when they get to a place where where where systems are more complex, more composed, systems are more complex, more composed, systems are more complex, more composed, they they they want to have the they they they want to have the they they they want to have the hierarchy of their assets, hierarchy of their assets, hierarchy of their assets, installations, and so on. Uh and and installations, and so on. Uh and and installations, and so on. Uh and and everyone is like, "Yeah, we need everyone is like, "Yeah, we need everyone is like, "Yeah, we need something like that." It's like, "Wait a something like that." It's like, "Wait a something like that." It's like, "Wait a second. Like there are like bunch of second. Like there are like bunch of second. Like there are like bunch of services out there that claim to be services out there that claim to be services out there that claim to be digital twins platforms. So that's what digital twins platforms. So that's what digital twins platforms. So that's what you're looking for, right?" It's like, you're looking for, right?" It's like, you're looking for, right?" It's like, "We've been talking about that for last "We've been talking about that for last "We've been talking about that for last 5 to 10 years." Like, "Where were you?"

  12. 5 to 10 years." Like, "Where were you?" 5 to 10 years." Like, "Where were you?" Yeah. Yeah. Yeah. Gosh, you know, I don't know if I have Gosh, you know, I don't know if I have Gosh, you know, I don't know if I have the document here. I should show it on the document here. I should show it on the document here. I should show it on the screen if I can find it. The design the screen if I can find it. The design the screen if I can find it. The design for something I called Lumada 3, for something I called Lumada 3, for something I called Lumada 3, which never saw the light of day. which never saw the light of day. which never saw the light of day. Um, but the whole system was built on Um, but the whole system was built on Um, but the whole system was built on digital twins. Like the system itself digital twins. Like the system itself digital twins. Like the system itself was digital twins. Like was digital twins. Like was digital twins. Like because I like you're talking about it because I like you're talking about it because I like you're talking about it was like it's a way of it's a way of was like it's a way of it's a way of was like it's a way of it's a way of modeling it data structures and things modeling it data structures and things modeling it data structures and things like that. like that. like that. And so every last bit of the system And so every last bit of the system And so every last bit of the system itself was also modeled like digital itself was also modeled like digital itself was also modeled like digital twins. Um, you know, from twins. Um, you know, from twins. Um, you know, from subsystems to machines to assembly to subsystems to machines to assembly to subsystems to machines to assembly to you know, assembly lines to multiple you know, assembly lines to multiple you know, assembly lines to multiple lines to factories connecting factories lines to factories connecting factories lines to factories connecting factories all over the planet and they're all all over the planet and they're all all over the planet and they're all twins of twins of twins. Sometimes there twins of twins of twins. Sometimes there twins of twins of twins. Sometimes there was like multiple parent-child, was like multiple parent-child, was like multiple parent-child, sometimes it was peer relationships. sometimes it was peer relationships. sometimes it was peer relationships. And and the software was built that way And and the software was built that way And and the software was built that way and um and um and um yes, I'll see if I have can find the yes, I'll see if I have can find the yes, I'll see if I have can find the diagram here while we're doing there cuz diagram here while we're doing there cuz diagram here while we're doing there cuz it was it was it was But but I think that today as today's But but I think that today as today's But but I think that today as today's holidays, I think it's a well good holidays, I think it's a well good holidays, I think it's a well good opportunity if you are here to watch the opportunity if you are here to watch the opportunity if you are here to watch the big IoT coffee talk about intelligent big IoT coffee talk about intelligent big IoT coffee talk about intelligent assets versus digital twins.

  13. assets versus digital twins. assets versus digital twins. Uh, Uh, Uh, that was a classic, wasn't it? that was a classic, wasn't it? that was a classic, wasn't it? Oh my god. Oh my god. Oh my god. That was. That was. That was. Right. Talking about epic moments, yeah. Right. Talking about epic moments, yeah. Right. Talking about epic moments, yeah. That was an epic moment. That was an epic moment. That was an epic moment. Oh my god. Oh my god. Oh my god. Epic. Epic. Epic. You know, we should revive some of You know, we should revive some of You know, we should revive some of those. Um, we should promote some of those. Um, we should promote some of those. Um, we should promote some of those old I mean we've been doing this those old I mean we've been doing this those old I mean we've been doing this for almost six years now. Can you for almost six years now. Can you for almost six years now. Can you believe that? believe that? believe that? What? What? What? We're going on our sixth year. We're going on our sixth year. We're going on our sixth year. Nonstop. Nonstop. Nonstop. The six years about 50 50 episodes a The six years about 50 50 episodes a The six years about 50 50 episodes a year. year. year. Yeah. Yeah. Yeah. Yeah, it's crazy. Yeah, it's crazy. Yeah, it's crazy. No, we're on our sixth year right now. No, we're on our sixth year right now. No, we're on our sixth year right now. Can you believe that? Can you believe that? Can you believe that? Yeah, three Yeah, three Yeah, three No, we started in 2020. No, we started in 2020. No, we started in 2020. Yeah, it's the sixth year, yeah. Yeah, it's the sixth year, yeah. Yeah, it's the sixth year, yeah. Yeah, no, it's Yeah, no, it's Yeah, no, it's it's crazy. it's crazy. it's crazy. Yeah. Yeah. Yeah. All right, I'm going to find Oh, wait, I All right, I'm going to find Oh, wait, I All right, I'm going to find Oh, wait, I think I found the PowerPoint deck think I found the PowerPoint deck think I found the PowerPoint deck actually. actually. actually. Rob, in that document is there anything Rob, in that document is there anything Rob, in that document is there anything that says please do not associate that says please do not associate that says please do not associate digital twin with 3D rendering? digital twin with 3D rendering? digital twin with 3D rendering? Do not consider this really Do not consider this really Do not consider this really visualization as being the twin. Like visualization as being the twin. Like visualization as being the twin. Like please, do you have something like that please, do you have something like that please, do you have something like that in America? Cuz I think that's what in America? Cuz I think that's what in America? Cuz I think that's what ruined the thing. Like people just ruined the thing. Like people just ruined the thing. Like people just associating a digital twin to its be associating a digital twin to its be associating a digital twin to its be rendering versus its value in in rendering versus its value in in rendering versus its value in in modeling.

  14. modeling. modeling. Yes, I know. Yes, I know. Yes, I know. I'm going to All right. I'm going to I'm going to All right. I'm going to I'm going to All right. I'm going to share my screen and show you some cool share my screen and show you some cool share my screen and show you some cool stuff. And you're right, it's not 3D stuff. And you're right, it's not 3D stuff. And you're right, it's not 3D winning. I'm going to show you two winning. I'm going to show you two winning. I'm going to show you two things. First, I'm going to show you things. First, I'm going to show you things. First, I'm going to show you It's always good to have like a mascot It's always good to have like a mascot It's always good to have like a mascot or a logo or something. You know, kind or a logo or something. You know, kind or a logo or something. You know, kind of like I have Bucky with me right now. of like I have Bucky with me right now. of like I have Bucky with me right now. from Bucky's from Bucky's from Bucky's that none of you guys know about except that none of you guys know about except that none of you guys know about except No, that was in the chip or that was an No, that was in the chip or that was an No, that was in the chip or that was an album album album Maybe you should have called You should Maybe you should have called You should Maybe you should have called You should have called that digital Bucky not have called that digital Bucky not have called that digital Bucky not digital digital digital Digital Bucky. Yes. All right. Okay, now Digital Bucky. Yes. All right. Okay, now Digital Bucky. Yes. All right. Okay, now I can share. I'm going to first share I can share. I'm going to first share I can share. I'm going to first share you a picture. This will be very you a picture. This will be very you a picture. This will be very Japanese for you. Japanese for you. Japanese for you. Um Um Um Wait for it. Where did it go? Where did it go? Yes. Yes. Yes. You see that? You see that? You see that? What? What? What? This This is a Lumina robot? This This is a Lumina robot? This This is a Lumina robot? That was our You know, it's like one of That was our You know, it's like one of That was our You know, it's like one of the Japanese Gundam warriors, you know? the Japanese Gundam warriors, you know? the Japanese Gundam warriors, you know? Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Did you ever have those when you were a Did you ever have those when you were a Did you ever have those when you were a kid? kid? kid? Yeah. Yeah. Yeah. That That That came before Transformers. That That That came before Transformers. That That That came before Transformers. Um Um Um Anyway, that was kind of our Anyway, that was kind of our Anyway, that was kind of our Yeah, you know?

  15. Yeah, you know? Yeah, you know? Yeah. Yeah. Yeah. And then I'm going to now show you I'm And then I'm going to now show you I'm And then I'm going to now show you I'm going to open going to open going to open There's a copyright infringement here, There's a copyright infringement here, There's a copyright infringement here, right? I don't know if anyone cares, but right? I don't know if anyone cares, but right? I don't know if anyone cares, but Indeed. Indeed. Yeah, that is not Indeed. Indeed. Yeah, that is not Indeed. Indeed. Yeah, that is not confidential uh confidential uh confidential uh It's not confidential information, It's not confidential information, It's not confidential information, right? right? right? Yeah, everything I'm going to show you Yeah, everything I'm going to show you Yeah, everything I'm going to show you is top secret. Wow, Lumina 3. Wow, Lumina 3. Amazing. Amazing. Amazing. Oh my god, look at this stuff. This So, Oh my god, look at this stuff. This So, Oh my god, look at this stuff. This So, this is back in I guess this 2016 2017. this is back in I guess this 2016 2017. this is back in I guess this 2016 2017. Um this was a idea Um this was a idea Um this was a idea of in a factory where everything is a of in a factory where everything is a of in a factory where everything is a twin. And so you can see it also was twin. And so you can see it also was twin. And so you can see it also was that notion of especially as we were that notion of especially as we were that notion of especially as we were moving into this industry 4.0 and all moving into this industry 4.0 and all moving into this industry 4.0 and all that that there was this note you know that that there was this note you know that that there was this note you know remember one of the principles around remember one of the principles around remember one of the principles around industry 4.0 was this idea of rapid industry 4.0 was this idea of rapid industry 4.0 was this idea of rapid retooling of a factory like retooling of a factory like retooling of a factory like and instead of having static assembly and instead of having static assembly and instead of having static assembly lines all the time, we're going to be lines all the time, we're going to be lines all the time, we're going to be dynamically changing or dynamically changing or dynamically changing or mass customization was part of industry mass customization was part of industry mass customization was part of industry 4.0 way back when if you remember and so 4.0 way back when if you remember and so 4.0 way back when if you remember and so everybody wanted a unique car and everybody wanted a unique car and everybody wanted a unique car and designed just for them and so it designed just for them and so it designed just for them and so it required wireless really powerful required wireless really powerful required wireless really powerful wireless because the cabling like we wireless because the cabling like we wireless because the cabling like we normally use in factories with ethernet normally use in factories with ethernet normally use in factories with ethernet was going to be tough to rearranging all was going to be tough to rearranging all was going to be tough to rearranging all the time.

  16. the time. the time. Um but yeah you can kind of see the Um but yeah you can kind of see the Um but yeah you can kind of see the notion notion notion of the idea of you know a machine a of the idea of you know a machine a of the idea of you know a machine a subsystem of a machine assembly line the subsystem of a machine assembly line the subsystem of a machine assembly line the person people who are working with it person people who are working with it person people who are working with it you know you're kind of your people and you know you're kind of your people and you know you're kind of your people and machines working together and then machines working together and then machines working together and then factories and that kind of deal and so factories and that kind of deal and so factories and that kind of deal and so it was that you know just like it was that you know just like it was that you know just like you know Appleman's early you know Appleman's early you know Appleman's early Harvard Business Review deal that you Harvard Business Review deal that you Harvard Business Review deal that you know from PTC that really kicked a lot know from PTC that really kicked a lot know from PTC that really kicked a lot of the stuff off that ultimately led to of the stuff off that ultimately led to of the stuff off that ultimately led to systems of systems. systems of systems. systems of systems. Yeah yep. Yeah yep. Yeah yep. And so that was cool. We And so that was cool. We And so that was cool. We I noticed the use of the use of the word I noticed the use of the use of the word I noticed the use of the use of the word avatar versus avatar versus avatar versus Yes yes we called them we called them Yes yes we called them we called them Yes yes we called them we called them asset avatars asset avatars asset avatars um instead of digital twins um um instead of digital twins um um instead of digital twins um you know in a manufacturing company you know in a manufacturing company you know in a manufacturing company everybody thinks of everything as an everybody thinks of everything as an everybody thinks of everything as an asset and so that was kind of normal and asset and so that was kind of normal and asset and so that was kind of normal and then in Japan in Japan they thought that then in Japan in Japan they thought that then in Japan in Japan they thought that avatar made more sense than digital twin avatar made more sense than digital twin avatar made more sense than digital twin to to reflect what they were thinking to to reflect what they were thinking to to reflect what they were thinking and so yeah so everything was an asset and so yeah so everything was an asset and so yeah so everything was an asset avatar.

  17. avatar. avatar. Um Um Um Isn't that when the movie Avatar came Isn't that when the movie Avatar came Isn't that when the movie Avatar came out? out? out? Yeah and here's like this this came out Yeah and here's like this this came out Yeah and here's like this this came out before Microsoft tried to do this before Microsoft tried to do this before Microsoft tried to do this digital twin digital twin digital twin DTLD or whatever like markup language. DTLD or whatever like markup language. DTLD or whatever like markup language. So So So so we we created this like a year a year so we we created this like a year a year so we we created this like a year a year and a half before and a half before and a half before Getting old. Getting old. Getting old. to, you know, do that. So, this was all to, you know, do that. So, this was all to, you know, do that. So, this was all this design stuff to create Lumada 3. this design stuff to create Lumada 3. this design stuff to create Lumada 3. Um Um Um and you know what? Um and Olivier will and you know what? Um and Olivier will and you know what? Um and Olivier will remember, you knew Steve Heggendoffer, remember, you knew Steve Heggendoffer, remember, you knew Steve Heggendoffer, right? right? right? Yeah. Yeah. Yeah. So, Steve and I, towards the end, So, Steve and I, towards the end, So, Steve and I, towards the end, were designing all this stuff. were designing all this stuff. were designing all this stuff. Nice. Nice. Nice. Um there was this notion and how to make Um there was this notion and how to make Um there was this notion and how to make it all work uh it all work uh it all work uh there was this notion that uh Hitachi there was this notion that uh Hitachi there was this notion that uh Hitachi was not going to use a public cloud at was not going to use a public cloud at was not going to use a public cloud at all. all. all. And so, you know, we've talked about And so, you know, we've talked about And so, you know, we've talked about that before, you know, uh that before, you know, uh that before, you know, uh factory plant managers like saying data factory plant managers like saying data factory plant managers like saying data doesn't leave my factory, I can't use a doesn't leave my factory, I can't use a doesn't leave my factory, I can't use a cloud. And that actually that was part cloud. And that actually that was part cloud. And that actually that was part of the failure for GE Predix cuz uh GE of the failure for GE Predix cuz uh GE of the failure for GE Predix cuz uh GE decided to build their own cloud and decided to build their own cloud and decided to build their own cloud and then guess what? All the manufacturing then guess what? All the manufacturing then guess what? All the manufacturing people said, "We're not sending 1 oz of people said, "We're not sending 1 oz of people said, "We're not sending 1 oz of data to your cloud. It stays inside this data to your cloud. It stays inside this data to your cloud. It stays inside this building." And so, we had to design a building." And so, we had to design a building." And so, we had to design a system where it never used a public system where it never used a public system where it never used a public cloud and connected across the whole cloud and connected across the whole cloud and connected across the whole planet.

  18. planet. planet. Um all these all the factories across Um all these all the factories across Um all these all the factories across private circuits, you know, like MPLS private circuits, you know, like MPLS private circuits, you know, like MPLS and fiber. and fiber. and fiber. Uh and so, all the factories So, Uh and so, all the factories So, Uh and so, all the factories So, everything was an avatar, a digital everything was an avatar, a digital everything was an avatar, a digital twin. And that's how we modeled the twin. And that's how we modeled the twin. And that's how we modeled the whole planet and figured out how we whole planet and figured out how we whole planet and figured out how we would get the whole thing to work and would get the whole thing to work and would get the whole thing to work and bubble up, you know, data from bubble up, you know, data from bubble up, you know, data from operations all over the world. operations all over the world. operations all over the world. But at the end of the day, you still had But at the end of the day, you still had But at the end of the day, you still had a a a a a a your Lumada core was the orchestrator of your Lumada core was the orchestrator of your Lumada core was the orchestrator of that, right? And was hosted on a rack of that, right? And was hosted on a rack of that, right? And was hosted on a rack of servers. That was a private cloud, but servers. That was a private cloud, but servers. That was a private cloud, but it was still a cloud. it was still a cloud. it was still a cloud. That's right. That's right. You're That's right. That's right. You're That's right. That's right. You're right. Yeah. It was you know, it would right. Yeah. It was you know, it would right. Yeah. It was you know, it would be in a a be in a a be in a a Hitachi controlled data center. Yeah. Hitachi controlled data center. Yeah. Hitachi controlled data center. Yeah. Yeah. Yeah. Yeah. Cuz you're right, you do need some kind Cuz you're right, you do need some kind Cuz you're right, you do need some kind of global registry, right? Of something. of global registry, right? Of something. of global registry, right? Of something. Yeah, true. True. Unless unless Yeah, true. True. Unless unless Yeah, true. True. Unless unless unless you have something that is unless you have something that is unless you have something that is decentralized and like like a blockchain decentralized and like like a blockchain decentralized and like like a blockchain type of thing. type of thing. type of thing. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. What Walker Reynolds would would not What Walker Reynolds would would not What Walker Reynolds would would not like this architecture actually. like this architecture actually. like this architecture actually. But uh But uh But uh Because you don't need MQTT.

  19. Because you don't need MQTT. Because you don't need MQTT. But the blockchain, the the whole But the blockchain, the the whole But the blockchain, the the whole distributed nature of everything is what distributed nature of everything is what distributed nature of everything is what drives the whole edge stuff, right? So, drives the whole edge stuff, right? So, drives the whole edge stuff, right? So, I mean, in order to actually do that, I mean, in order to actually do that, I mean, in order to actually do that, the the distributed ledger is nothing the the distributed ledger is nothing the the distributed ledger is nothing more than an additional layer. It's not more than an additional layer. It's not more than an additional layer. It's not in the core of everything. It's 100% in the core of everything. It's 100% in the core of everything. It's 100% in a in a different layer. And the rules in a in a different layer. And the rules in a in a different layer. And the rules and everything associated with that have and everything associated with that have and everything associated with that have all to do with what events you're trying all to do with what events you're trying all to do with what events you're trying to capture that actually go on that to capture that actually go on that to capture that actually go on that ledger. And and then there's a workflow ledger. And and then there's a workflow ledger. And and then there's a workflow that kicks off that's associated with that kicks off that's associated with that kicks off that's associated with that. And all of this has to do with that. And all of this has to do with that. And all of this has to do with state. state. state. And that is probably one of the biggest And that is probably one of the biggest And that is probably one of the biggest fallacies that I think a lot of these fallacies that I think a lot of these fallacies that I think a lot of these quote-unquote digital twin platforms and quote-unquote digital twin platforms and quote-unquote digital twin platforms and digital twin solution providers, give it digital twin solution providers, give it digital twin solution providers, give it a name, a name, a name, um um um but that's that's where they fail. but that's that's where they fail. but that's that's where they fail. Number one, you'll hear them talk about Number one, you'll hear them talk about Number one, you'll hear them talk about digital twins, you won't hear them digital twins, you won't hear them digital twins, you won't hear them talking about state.

  20. talking about state. talking about state. Mhm. Mhm. Mhm. You will not hear them talk about state. You will not hear them talk about state. You will not hear them talk about state. That means that they are operating That means that they are operating That means that they are operating stateless. stateless. stateless. Mhm. Mhm. Mhm. Adds complexity to anything that you're Adds complexity to anything that you're Adds complexity to anything that you're trying to do in terms of real-time trying to do in terms of real-time trying to do in terms of real-time decision-making and things of that decision-making and things of that decision-making and things of that nature. nature. nature. Yeah. Yeah. Yeah. But the whole stateless thing got hot But the whole stateless thing got hot But the whole stateless thing got hot because it was a way to more to make because it was a way to more to make because it was a way to more to make your stuff more scalable, right? your stuff more scalable, right? your stuff more scalable, right? And that and and it's the way the And that and and it's the way the And that and and it's the way the internet works, right? internet works, right? internet works, right? Yeah. But guess what? People want to Yeah. But guess what? People want to Yeah. But guess what? People want to know the state of things. know the state of things. know the state of things. They want to know the state. They want to know the state. They want to know the state. And they don't even they don't even know And they don't even they don't even know And they don't even they don't even know that they want to know the state. It's that they want to know the state. It's that they want to know the state. It's just you as you have a vision of what it just you as you have a vision of what it just you as you have a vision of what it is that you're trying to produce. is that you're trying to produce. is that you're trying to produce. Yeah. Yeah. Yeah. And and your key objectives are so so And and your key objectives are so so And and your key objectives are so so naturally we have to say up front, you naturally we have to say up front, you naturally we have to say up front, you know, we are a stateful representation know, we are a stateful representation know, we are a stateful representation of everything that's going on. of everything that's going on. of everything that's going on. Yeah. Yeah. Yeah. And and and it's almost an hour And and and it's almost an hour And and and it's almost an hour conversation just to get everyone's head conversation just to get everyone's head conversation just to get everyone's head into state as opposed to well the into state as opposed to well the into state as opposed to well the internet. No, look, I could care less internet. No, look, I could care less internet. No, look, I could care less about the internet.

  21. about the internet. about the internet. I mean, as a matter of fact, it's one of I mean, as a matter of fact, it's one of I mean, as a matter of fact, it's one of the reasons why we monitor the the reasons why we monitor the the reasons why we monitor the connectivity connectivity connectivity of anything that's connected to a sensor of anything that's connected to a sensor of anything that's connected to a sensor or you know, where the data is or you know, where the data is or you know, where the data is traversing or anything like that. traversing or anything like that. traversing or anything like that. Whatever that medium is, we monitor it Whatever that medium is, we monitor it Whatever that medium is, we monitor it because we run into instances where because we run into instances where because we run into instances where they're like, "Oh, your application." they're like, "Oh, your application." they're like, "Oh, your application." No, it's not the application. I'm sorry, No, it's not the application. I'm sorry, No, it's not the application. I'm sorry, friend. It is your connectivity. friend. It is your connectivity. friend. It is your connectivity. Yeah. Yeah. Yeah. True. And actually there was there was a True. And actually there was there was a True. And actually there was there was a concept in concept in concept in the still actually in IoT Hub for what the still actually in IoT Hub for what the still actually in IoT Hub for what we call the device twin in there. we call the device twin in there. we call the device twin in there. Where we were talking about a desired Where we were talking about a desired Where we were talking about a desired property property property for a device and a reported property for a device and a reported property for a device and a reported property with a time stamp. So we're able to with a time stamp. So we're able to with a time stamp. So we're able to actually indicate that's that's a actually indicate that's that's a actually indicate that's that's a concept that was super hard for concept that was super hard for concept that was super hard for customers to understand because we're customers to understand because we're customers to understand because we're telling them it's a reported property, telling them it's a reported property, telling them it's a reported property, but it has a time stamp. So it it's the but it has a time stamp. So it it's the but it has a time stamp. So it it's the last known state, right? Because we have last known state, right? Because we have last known state, right? Because we have that wire in between the device and that that wire in between the device and that that wire in between the device and that twin and you don't know if it's the real twin and you don't know if it's the real twin and you don't know if it's the real value, right? And and then you had value, right? And and then you had value, right? And and then you had notion of events and that you could notion of events and that you could notion of events and that you could eventually associate to a property, but eventually associate to a property, but eventually associate to a property, but it's um it's um it's um yeah, the the the notion of state was yeah, the the the notion of state was yeah, the the the notion of state was something that something that something that they were coming from like the world of they were coming from like the world of they were coming from like the world of like state machines, right? When you do like state machines, right? When you do like state machines, right? When you do OT, you're in that world and then OT, you're in that world and then OT, you're in that world and then suddenly you're in a state like suddenly you're in a state like suddenly you're in a state like stateless world of IoT. Maybe that's stateless world of IoT. Maybe that's stateless world of IoT. Maybe that's another of the reasons why the two another of the reasons why the two another of the reasons why the two clients are clashing because they're clients are clashing because they're clients are clashing because they're they have a different view of the world, they have a different view of the world, they have a different view of the world, right?

  22. right? right? Could be. Could be. Could be. And so you we have like asset as a And so you we have like asset as a And so you we have like asset as a guitar guitar guitar class was yeah. class was yeah. class was yeah. If we go back to like how Dr. Greaves, If we go back to like how Dr. Greaves, If we go back to like how Dr. Greaves, you know, kind of describes digital you know, kind of describes digital you know, kind of describes digital twins, you know, there's the twins, you know, there's the twins, you know, there's the the model and then the the instance, you the model and then the the instance, you the model and then the the instance, you know, and so the asset avatar would be know, and so the asset avatar would be know, and so the asset avatar would be the instance the instance the instance of the twin and then the asset class, of the twin and then the asset class, of the twin and then the asset class, you know, is the model. Um and so all you know, is the model. Um and so all you know, is the model. Um and so all this stuff how we're going to download this stuff how we're going to download this stuff how we're going to download software, up to updates to software, you software, up to updates to software, you software, up to updates to software, you know, over the air, it was all based on know, over the air, it was all based on know, over the air, it was all based on twins as well. It was crazy. twins as well. It was crazy. twins as well. It was crazy. Um Um Um but it kind of made sense to me at but it kind of made sense to me at but it kind of made sense to me at least. I don't know. And to some other least. I don't know. And to some other least. I don't know. And to some other people in Japan, they were all in. people in Japan, they were all in. people in Japan, they were all in. Um Um Um You know, I You know, I You know, I I'm sorry. I'm sorry. Go ahead. I'm sorry. I'm sorry. Go ahead. I'm sorry. I'm sorry. Go ahead. No, I just want to say I had so much fun No, I just want to say I had so much fun No, I just want to say I had so much fun doing all this stuff. It was a lot It doing all this stuff. It was a lot It doing all this stuff. It was a lot It was a blast. was a blast. was a blast. Yeah. Yeah. Yeah. Actually, I see a lot of similarities on Actually, I see a lot of similarities on Actually, I see a lot of similarities on these on the unified name space from these on the unified name space from these on the unified name space from Walker Reynolds, actually. Now, the Walker Reynolds, actually. Now, the Walker Reynolds, actually. Now, the architecture looks like the unified name architecture looks like the unified name architecture looks like the unified name space using the MQTT broker and the MQTT space using the MQTT broker and the MQTT space using the MQTT broker and the MQTT hierarchy hierarchy hierarchy with these and and actually it gives you with these and and actually it gives you with these and and actually it gives you the freedom to use all of these classes the freedom to use all of these classes the freedom to use all of these classes and everything in every level that you and everything in every level that you and everything in every level that you need. So, need. So, need. So, Right.

  23. Right. Right. You know, that in 2025 it makes a lot of You know, that in 2025 it makes a lot of You know, that in 2025 it makes a lot of sense. sense. sense. No, I I totally get what you're saying. No, I I totally get what you're saying. No, I I totally get what you're saying. Yeah, you know, when I started when he Yeah, you know, when I started when he Yeah, you know, when I started when he started talking about UNS and um started talking about UNS and um started talking about UNS and um and the goal of the UNS was I want all and the goal of the UNS was I want all and the goal of the UNS was I want all the data from everything in the the data from everything in the the data from everything in the enterprise and everywhere all in this enterprise and everywhere all in this enterprise and everywhere all in this one place and you're right, he thought one place and you're right, he thought one place and you're right, he thought of it as a hierarchical thing and um of it as a hierarchical thing and um of it as a hierarchical thing and um we used to talk about that. We called it we used to talk about that. We called it we used to talk about that. We called it um um um data blending, you know, um one of the data blending, you know, um one of the data blending, you know, um one of the things we did, you know, like when things we did, you know, like when things we did, you know, like when you're you know, like you're a product you're you know, like you're a product you're you know, like you're a product manager and you're trying to get a new manager and you're trying to get a new manager and you're trying to get a new product out the door and and so here you product out the door and and so here you product out the door and and so here you are, you're working on a V1 of a are, you're working on a V1 of a are, you're working on a V1 of a industrial IoT system and industrial IoT system and industrial IoT system and and you're telling I'm I'm trying to get and you're telling I'm I'm trying to get and you're telling I'm I'm trying to get level set to everyone on the team and level set to everyone on the team and level set to everyone on the team and the people in Japan that, "Hey, V1 isn't the people in Japan that, "Hey, V1 isn't the people in Japan that, "Hey, V1 isn't going to be a miracle. It's going to be going to be a miracle. It's going to be going to be a miracle. It's going to be just the the the table stakes stuff that just the the the table stakes stuff that just the the the table stakes stuff that you would see in any other IoT platform. you would see in any other IoT platform. you would see in any other IoT platform. Don't expect cuz, you know, we're Don't expect cuz, you know, we're Don't expect cuz, you know, we're starting from zero and we got to just starting from zero and we got to just starting from zero and we got to just build this build this build this thing. thing. thing. But, there was always pressure to have But, there was always pressure to have But, there was always pressure to have differentiation, right? Oh, differentiation, right? Oh, differentiation, right? Oh, and you know, why would we be better and you know, why would we be better and you know, why would we be better than Predix or than Predix or than Predix or what Siemens was doing or something like what Siemens was doing or something like what Siemens was doing or something like that? And so, that? And so, that? And so, what I what I what I did was it you know, so there was did was it you know, so there was did was it you know, so there was Hitachi Data Systems in Santa Clara.

  24. Hitachi Data Systems in Santa Clara. Hitachi Data Systems in Santa Clara. We were a group called Hitachi Insight We were a group called Hitachi Insight We were a group called Hitachi Insight Group and we were in Bellevue. We're Group and we were in Bellevue. We're Group and we were in Bellevue. We're actually on 156. We were just down the actually on 156. We were just down the actually on 156. We were just down the street from the Microsoft campus. street from the Microsoft campus. street from the Microsoft campus. And then we also did an acquisition of a And then we also did an acquisition of a And then we also did an acquisition of a company in Orlando, Florida called company in Orlando, Florida called company in Orlando, Florida called Pentaho. Pentaho. Pentaho. Um, and and that's an open source Um, and and that's an open source Um, and and that's an open source platform that's like does ETL, platform that's like does ETL, platform that's like does ETL, connects anything to anything, and had a connects anything to anything, and had a connects anything to anything, and had a bunch of other capabilities. bunch of other capabilities. bunch of other capabilities. And so, I was like, you know, And so, I was like, you know, And so, I was like, you know, and we brought over a couple of people and we brought over a couple of people and we brought over a couple of people engineers from the Pentaho team and engineers from the Pentaho team and engineers from the Pentaho team and embedded them in the Lumada team and I embedded them in the Lumada team and I embedded them in the Lumada team and I said, said, said, could is there a way that we can make a could is there a way that we can make a could is there a way that we can make a 1.0 product look like a 3.0 product? And 1.0 product look like a 3.0 product? And 1.0 product look like a 3.0 product? And so, I said, can we glue Lumada together so, I said, can we glue Lumada together so, I said, can we glue Lumada together with Pentaho to get us extra with Pentaho to get us extra with Pentaho to get us extra capabilities capabilities capabilities for our first version so that we'll come for our first version so that we'll come for our first version so that we'll come out of the gate and look better than we out of the gate and look better than we out of the gate and look better than we would otherwise. would otherwise. would otherwise. Uh, because I always said, you know, Uh, because I always said, you know, Uh, because I always said, you know, connect, collect, analyze, and act. And connect, collect, analyze, and act. And connect, collect, analyze, and act. And so, we didn't have that whole act part so, we didn't have that whole act part so, we didn't have that whole act part done yet, you know?

  25. done yet, you know? done yet, you know? Uh-oh. We know he's there. We know he's there. A lot of people puts in visualization, A lot of people puts in visualization, A lot of people puts in visualization, but what's important more important to but what's important more important to but what's important more important to me, me, me, did I just die? did I just die? did I just die? Uh, Uh, Uh, No, you you came back, though. No, you you came back, though. No, you you came back, though. Okay, I'm back. Yeah, I know I have Okay, I'm back. Yeah, I know I have Okay, I'm back. Yeah, I know I have horrible connectivity. I'm down here at horrible connectivity. I'm down here at horrible connectivity. I'm down here at the beach at a beach house in Ocean the beach at a beach house in Ocean the beach at a beach house in Ocean Shores, um, Washington. Yeah, I know. Shores, um, Washington. Yeah, I know. Shores, um, Washington. Yeah, I know. Yeah. So, anyway Yeah. So, anyway Yeah. So, anyway You guys are laughing at me. You guys are laughing at me. You guys are laughing at me. No, I was just wondering what time is No, I was just wondering what time is No, I was just wondering what time is the barbecue? Yeah, actually looks pretty nice Yeah, actually looks pretty nice outside. There's a beach like right outside. There's a beach like right outside. There's a beach like right there. there. there. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. But it's not the kind you would like. But it's not the kind you would like. But it's not the kind you would like. It's not the kind that has warm tropical It's not the kind that has warm tropical It's not the kind that has warm tropical waters. It's ice cold waters. It's ice cold waters. It's ice cold I you know I you know I you know Ice cold water. Ice cold water. Ice cold water. Yeah. So, um Yeah. So, um Yeah. So, um any who any who any who What if we So, we glued together the What if we So, we glued together the What if we So, we glued together the platforms and then Pentaho had this kind platforms and then Pentaho had this kind platforms and then Pentaho had this kind of drag and drop kind of deal kind of of drag and drop kind of deal kind of of drag and drop kind of deal kind of like you would see in uh like if you like you would see in uh like if you like you would see in uh like if you ever used uh SSIS inside of SQL Server ever used uh SSIS inside of SQL Server ever used uh SSIS inside of SQL Server or other ETL tools where you drag from or other ETL tools where you drag from or other ETL tools where you drag from you know, source to destination to move you know, source to destination to move you know, source to destination to move data around. Um and so, we had that and data around. Um and so, we had that and data around. Um and so, we had that and so now telemetry's coming in. Everything so now telemetry's coming in. Everything so now telemetry's coming in. Everything went in and hydrated the digital twin of went in and hydrated the digital twin of went in and hydrated the digital twin of all the different assets and things like all the different assets and things like all the different assets and things like that. And then and then you had the that. And then and then you had the that. And then and then you had the source to destination cuz what you want source to destination cuz what you want source to destination cuz what you want to do is you want to do uh uh financial to do is you want to do uh uh financial to do is you want to do uh uh financial companies call this straight-through companies call this straight-through companies call this straight-through processing processing processing uh process automation. So, it's like I uh process automation. So, it's like I uh process automation. So, it's like I want to take the action cuz ultimately

  26. want to take the action cuz ultimately want to take the action cuz ultimately in my mind you might disagree the in my mind you might disagree the in my mind you might disagree the ultimate goal of IoT was not to have a ultimate goal of IoT was not to have a ultimate goal of IoT was not to have a bunch of dashboards to look at. The bunch of dashboards to look at. The bunch of dashboards to look at. The ultimate goal was can I create a ultimate goal was can I create a ultimate goal was can I create a lights-out factory like the Tesla lights-out factory like the Tesla lights-out factory like the Tesla factory in Fremont, California where factory in Fremont, California where factory in Fremont, California where it's fully automated. So, my my in my it's fully automated. So, my my in my it's fully automated. So, my my in my mind the ultimate end state for IoT was mind the ultimate end state for IoT was mind the ultimate end state for IoT was a headless invisible system that a headless invisible system that a headless invisible system that got telemetry, determined insights, and got telemetry, determined insights, and got telemetry, determined insights, and took actions on the insights took actions on the insights took actions on the insights automatically. automatically. automatically. Nobody humans not in the loop if Nobody humans not in the loop if Nobody humans not in the loop if possible. And so, being able to possible. And so, being able to possible. And so, being able to 3D visualization, that's what you're 3D visualization, that's what you're 3D visualization, that's what you're saying, right? saying, right? saying, right? That's right. No visualization. Nobody That's right. No visualization. Nobody That's right. No visualization. Nobody sitting there Nobody looking at control sitting there Nobody looking at control sitting there Nobody looking at control panels like Homer Simpson in a reactor. panels like Homer Simpson in a reactor. panels like Homer Simpson in a reactor. And so, it would just take actions on And so, it would just take actions on And so, it would just take actions on insights and do the thing. And that's insights and do the thing. And that's insights and do the thing. And that's cuz a lot of companies kept saying, "I cuz a lot of companies kept saying, "I cuz a lot of companies kept saying, "I want an intense solution and I want it want an intense solution and I want it want an intense solution and I want it to do the thing. I don't want you having to do the thing. I don't want you having to do the thing. I don't want you having fancy pictures and then I have to go fancy pictures and then I have to go fancy pictures and then I have to go figure out how to do the thing.

  27. figure out how to do the thing. figure out how to do the thing. You know, if the soil moisture in the You know, if the soil moisture in the You know, if the soil moisture in the farm says it needs water, then I need farm says it needs water, then I need farm says it needs water, then I need you to turn on the irrigation system you to turn on the irrigation system you to turn on the irrigation system automatically. And then I want you to automatically. And then I want you to automatically. And then I want you to turn it off when it's done. If I have a turn it off when it's done. If I have a turn it off when it's done. If I have a problem on my assembly line, I want your problem on my assembly line, I want your problem on my assembly line, I want your system to do whatever the thing it is. system to do whatever the thing it is. system to do whatever the thing it is. Don't wait for me to do the thing." And Don't wait for me to do the thing." And Don't wait for me to do the thing." And so, that was always in my head from the so, that was always in my head from the so, that was always in my head from the customer feedback in these factories. customer feedback in these factories. customer feedback in these factories. Sounds like an Sounds like an Sounds like an It's not It's not the It's not the It's It's not It's not the It's not the It's It's not It's not the It's not the It's not the twin that does that. Right? This not the twin that does that. Right? This not the twin that does that. Right? This is that point I was making about the is that point I was making about the is that point I was making about the whole IT/OT conversation that Leonard whole IT/OT conversation that Leonard whole IT/OT conversation that Leonard you kicked off. you kicked off. you kicked off. Um Um Um but but but it's the system integration and it's the system integration and it's the system integration and interoperability associated with what interoperability associated with what interoperability associated with what the twin is overlaid on. the twin is overlaid on. the twin is overlaid on. And that I mean, I think again, I think And that I mean, I think again, I think And that I mean, I think again, I think a lot of people miss that. They're a lot of people miss that. They're a lot of people miss that. They're They're in They're selling the thing and They're in They're selling the thing and They're in They're selling the thing and not doing the thing. not doing the thing. not doing the thing. People want you to do the thing. I'm People want you to do the thing. I'm People want you to do the thing. I'm paying a lot of money for this platform paying a lot of money for this platform paying a lot of money for this platform and I want it to do the damn thing.

  28. and I want it to do the damn thing. and I want it to do the damn thing. Yeah. Yeah. Yeah. And so And so And so Is that an actual Is that an actual Is that an actual There's a big There's a big limitation There's a big There's a big limitation There's a big There's a big limitation actually to all the digital twins actually to all the digital twins actually to all the digital twins platforms that platforms that platforms that seen in that release what you were seen in that release what you were seen in that release what you were saying, Bill, which is saying, Bill, which is saying, Bill, which is it's centralized service it's centralized service it's centralized service which will collect all information, which will collect all information, which will collect all information, expose the model. It's never expose the model. It's never expose the model. It's never distributed. When do we have Like is distributed. When do we have Like is distributed. When do we have Like is there out there maybe there is, I don't there out there maybe there is, I don't there out there maybe there is, I don't know, a digital twin solution that would know, a digital twin solution that would know, a digital twin solution that would have a replica of the twin on an edge have a replica of the twin on an edge have a replica of the twin on an edge box that is able to be autonomous and to box that is able to be autonomous and to box that is able to be autonomous and to still present the model for actions to still present the model for actions to still present the model for actions to be taken locally, right? With local AI be taken locally, right? With local AI be taken locally, right? With local AI or algorithms and rules, still having or algorithms and rules, still having or algorithms and rules, still having the graph available to grab the the graph available to grab the the graph available to grab the information. information. information. And in that case, it could it could be And in that case, it could it could be And in that case, it could it could be the last known information from the the last known information from the the last known information from the cloud. As in, you know, when I was cloud. As in, you know, when I was cloud. As in, you know, when I was connected to cloud lately, I had this connected to cloud lately, I had this connected to cloud lately, I had this piece of information. Now, I'm good just piece of information. Now, I'm good just piece of information. Now, I'm good just going to act in a autonomous way, but my going to act in a autonomous way, but my going to act in a autonomous way, but my my local digital twin my local digital twin my local digital twin of the entire system is is local. And I of the entire system is is local. And I of the entire system is is local. And I have the engine there, I have the graph have the engine there, I have the graph have the engine there, I have the graph there. And and I've not seen anything there. And and I've not seen anything there. And and I've not seen anything out there that was doing that and out there that was doing that and out there that was doing that and keeping the different nodes keeping the different nodes keeping the different nodes uh, you know, in sync and so on. That uh, you know, in sync and so on. That uh, you know, in sync and so on. That that that's an interesting product out that that's an interesting product out that that's an interesting product out there.

  29. there. there. what? You should You should give this what? You should You should give this what? You should You should give this company I know called uh, True North company I know called uh, True North company I know called uh, True North Software Solutions. You should give them Software Solutions. You should give them Software Solutions. You should give them a shout. They a shout. They a shout. They Um, they They Everything that you just Um, they They Everything that you just Um, they They Everything that you just articulated, they do a damn good job articulated, they do a damn good job articulated, they do a damn good job with that. with that. with that. Yeah, they do. Yeah, they do. Yeah, they do. I'll I'll reach chat. I think I know a I'll I'll reach chat. I think I know a I'll I'll reach chat. I think I know a guy. guy. guy. Yeah. And so, Olivier, and that's what I Yeah. And so, Olivier, and that's what I Yeah. And so, Olivier, and that's what I was trying to demonstrate with those was trying to demonstrate with those was trying to demonstrate with those diagrams. It was just this diagrams. It was just this diagrams. It was just this hyper-distributed system hyper-distributed system hyper-distributed system that could work. And it And yeah, it that could work. And it And yeah, it that could work. And it And yeah, it went from the endpoint to to edge to went from the endpoint to to edge to went from the endpoint to to edge to wherever. wherever. wherever. But you know, on your diagram, you had But you know, on your diagram, you had But you know, on your diagram, you had this notion of core up there, right? So, this notion of core up there, right? So, this notion of core up there, right? So, and and so, it's distributed in terms of and and so, it's distributed in terms of and and so, it's distributed in terms of the intelligence is distributed, but you the intelligence is distributed, but you the intelligence is distributed, but you don't have a notion of distribution of don't have a notion of distribution of don't have a notion of distribution of the twin the twin the twin of the entire system being available of the entire system being available of the entire system being available everywhere. If you cut one of the of the everywhere. If you cut one of the of the everywhere. If you cut one of the of the connections, connections, connections, Yeah. Yeah. Yeah. that leaf part is dead. that leaf part is dead. that leaf part is dead. Yeah. Yeah. Yeah. We would have multiple like supernodes. We would have multiple like supernodes. We would have multiple like supernodes. Mhm. Mhm. Mhm. You know what I mean? You know, because You know what I mean? You know, because You know what I mean? You know, because because we would you know, because because we would you know, because because we would you know, because if Olivier remembers a lot of my time at if Olivier remembers a lot of my time at if Olivier remembers a lot of my time at Microsoft, I was pigeonholed in this Microsoft, I was pigeonholed in this Microsoft, I was pigeonholed in this weird world of data replication.

  30. weird world of data replication. weird world of data replication. Um, and I and I spent a lot of time in Um, and I and I spent a lot of time in Um, and I and I spent a lot of time in France because I was the only person who France because I was the only person who France because I was the only person who knew how to scale data replication. That knew how to scale data replication. That knew how to scale data replication. That was a weird bizarre life that I had was a weird bizarre life that I had was a weird bizarre life that I had there. And so, the all those things were there. And so, the all those things were there. And so, the all those things were replicating all over the planet and down replicating all over the planet and down replicating all over the planet and down to edge nodes and things like that. It to edge nodes and things like that. It to edge nodes and things like that. It was super complicated, and it we was super complicated, and it we was super complicated, and it we prototyped part of it, you know, this prototyped part of it, you know, this prototyped part of it, you know, this version three, but you know, it never version three, but you know, it never version three, but you know, it never got built. It never saw the light of got built. It never saw the light of got built. It never saw the light of day. day. day. Um, but yeah, the last bits of it we I Um, but yeah, the last bits of it we I Um, but yeah, the last bits of it we I designed with Steve Hegenderfer on designed with Steve Hegenderfer on designed with Steve Hegenderfer on whiteboards in Bellevue. whiteboards in Bellevue. whiteboards in Bellevue. Yeah, wait, wait, wait. Yeah, wait, wait, wait. Yeah, wait, wait, wait. Before you guys go any further, Before you guys go any further, Before you guys go any further, I wanted to congratulate I wanted to congratulate I wanted to congratulate Mark Mark Mark for his new for his new for his new Yeah. Yeah. Yeah. at at at Edge Impulse {slash} Qualcomm. Edge Impulse {slash} Qualcomm. Edge Impulse {slash} Qualcomm. Good job. Good job. Good job. Woohoo! Woohoo! Woohoo! Congrats, man. That's awesome. Congrats, man. That's awesome. Congrats, man. That's awesome. Awesome, man. Awesome, man. Awesome, man. Thank you. Thank you. Thank you. Yeah. Yeah, last week we were about we Yeah. Yeah, last week we were about we Yeah. Yeah, last week we were about we were going to you know, do the big were going to you know, do the big were going to you know, do the big reveal, but uh it wasn't official well, reveal, but uh it wasn't official well, reveal, but uh it wasn't official well, it was official, it's just that you it was official, it's just that you it was official, it's just that you weren't weren't weren't official, but exactly. I was still official, but exactly. I was still official, but exactly. I was still working at Balena, which is a great working at Balena, which is a great working at Balena, which is a great company, but yeah, now I'm lucky to work company, but yeah, now I'm lucky to work company, but yeah, now I'm lucky to work at Edge Impulse.

  31. at Edge Impulse. at Edge Impulse. Yes. Yes. Yes. Yeah, Qualcomm. Yeah, Qualcomm. Yeah, Qualcomm. some secret knowledge for a while, but some secret knowledge for a while, but some secret knowledge for a while, but we had to keep quiet about it. we had to keep quiet about it. we had to keep quiet about it. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. Somebody was interviewing Somebody was interviewing Somebody was interviewing uh you're you're very good on on keeping uh you're you're very good on on keeping uh you're you're very good on on keeping secrets. secrets. secrets. Somebody's interviewing like assuming Somebody's interviewing like assuming Somebody's interviewing like assuming you like working with Adam Benzion and you like working with Adam Benzion and you like working with Adam Benzion and those guys, you know, that's awesome. those guys, you know, that's awesome. those guys, you know, that's awesome. Yeah. Yeah. Yeah. What a what a great team they've got What a what a great team they've got What a what a great team they've got there. there. there. That's that's awesome. That's that's awesome. That's that's awesome. Yeah, they're making a very good team, Yeah, they're making a very good team, Yeah, they're making a very good team, yeah. yeah. yeah. You're going to a great place. That's You're going to a great place. That's You're going to a great place. That's awesome, man. That's exciting. awesome, man. That's exciting. awesome, man. That's exciting. Yeah, we got to talk, man. We got to Yeah, we got to talk, man. We got to Yeah, we got to talk, man. We got to talk. The cool thing about Qualcomm is it's The cool thing about Qualcomm is it's near where Leonard lives, and it's near near where Leonard lives, and it's near near where Leonard lives, and it's near Miramar Air Station. So, Miramar Air Station. So, Miramar Air Station. So, Is Miramar still there? Is Miramar still there? Is Miramar still there? Yeah, it's it's a Marine Air Station Yeah, it's it's a Marine Air Station Yeah, it's it's a Marine Air Station now. now. now. Yeah, that's what I thought. I mean, Yeah, that's what I thought. I mean, Yeah, that's what I thought. I mean, Yeah, they moved Top Gun out of there. Yeah, they moved Top Gun out of there. Yeah, they moved Top Gun out of there. Uh and it's not any smaller because of Uh and it's not any smaller because of Uh and it's not any smaller because of it, right? it, right? it, right? Right. Right. Right. You know. Very, very uh Well, I mean You know. Very, very uh Well, I mean You know. Very, very uh Well, I mean Coronado Coronado is Coronado Coronado is Coronado Coronado is Yeah.

  32. Yeah. Yeah. I mean all of them are still what they I mean all of them are still what they I mean all of them are still what they are except for like in the Bay Area are except for like in the Bay Area are except for like in the Bay Area Moffett Field is dead and Moffett Field is dead and Moffett Field is dead and Yeah. Coronado Yeah. Coronado Yeah. Coronado No, you're Ford Island I think is not No, you're Ford Island I think is not No, you're Ford Island I think is not the same as it used to be. the same as it used to be. the same as it used to be. Coronado Yeah, I mean you know, you're Coronado Yeah, I mean you know, you're Coronado Yeah, I mean you know, you're right Coronado you've got seals on the right Coronado you've got seals on the right Coronado you've got seals on the south part of it and and then North south part of it and and then North south part of it and and then North Island is you know, air stuff Air Force Island is you know, air stuff Air Force Island is you know, air stuff Air Force Naval Air Force Yeah. Naval Air Force Yeah. Naval Air Force Yeah. As Leonard would tell you As Leonard would tell you As Leonard would tell you San Diego's alive and well when it comes San Diego's alive and well when it comes San Diego's alive and well when it comes to military. It's a vibrant to military. It's a vibrant to military. It's a vibrant you know, you're right it's it's it's you know, you're right it's it's it's you know, you're right it's it's it's awesome. It is sad though they not have awesome. It is sad though they not have awesome. It is sad though they not have Top Gun in Miramar anymore though. That Top Gun in Miramar anymore though. That Top Gun in Miramar anymore though. That is kind of a bummer. is kind of a bummer. is kind of a bummer. Yeah. Well, hey I'll tell you there's Yeah. Well, hey I'll tell you there's Yeah. Well, hey I'll tell you there's still a lot of F-35s flying around and still a lot of F-35s flying around and still a lot of F-35s flying around and F-18s. F-18s. F-18s. A lot of a lot more F-35s. A lot of a lot more F-35s. A lot of a lot more F-35s. So So So Really? Really? Really? Yeah, I've been IDing a ton of them Yeah, I've been IDing a ton of them Yeah, I've been IDing a ton of them flying over so I think they're flying over so I think they're flying over so I think they're they're switching over pretty quickly. they're switching over pretty quickly. they're switching over pretty quickly. From what I From what I From what I Is the F-35 that's one like the Harrier Is the F-35 that's one like the Harrier Is the F-35 that's one like the Harrier that can do that and go that can do that and go that can do that and go The the C the you know, the C version The the C the you know, the C version The the C the you know, the C version can do that.

  33. can do that. can do that. Yeah. As opposed to the Yeah. As opposed to the Yeah. As opposed to the as opposed to the F-22 Raptor as opposed to the F-22 Raptor as opposed to the F-22 Raptor Yeah. Yeah. Yeah. That one's for showing off. Love it. It's There's nothing better Love it. It's There's nothing better than this is than this is than this is Showing off. Showing off. Showing off. you're Isn't that the best when you're you're Isn't that the best when you're you're Isn't that the best when you're at the Del Coronado sitting outside on at the Del Coronado sitting outside on at the Del Coronado sitting outside on the deck at sunset having a drink the deck at sunset having a drink the deck at sunset having a drink and then helicopters are going over you and then helicopters are going over you and then helicopters are going over you and fighter jets and you're just like and fighter jets and you're just like and fighter jets and you're just like USA USA YOU IS GOING IS GOING YOU KNOW THE YOU KNOW THE story of the YOU KNOW THE YOU KNOW THE story of the YOU KNOW THE YOU KNOW THE story of the of the Cold War in during the Cold War of the Cold War in during the Cold War of the Cold War in during the Cold War between the Russian planes and and and between the Russian planes and and and between the Russian planes and and and the American ones? the American ones? the American ones? I know some stories. I know some stories. I know some stories. I know a lot of I know a lot of I know a lot of So I I So I I So I I actually they So the US actually they So the US actually they So the US Army discover Army discover Army discover a Russian plane during the Cold War. So, a Russian plane during the Cold War. So, a Russian plane during the Cold War. So, they started inspecting it and they they started inspecting it and they they started inspecting it and they discovered that it was faster, it was discovered that it was faster, it was discovered that it was faster, it was better, it was more reliable, etc. But, better, it was more reliable, etc. But, better, it was more reliable, etc. But, they they had a question. They didn't they they had a question. They didn't they they had a question. They didn't understand why. So, they had they had understand why. So, they had they had understand why. So, they had they had the spies and and they didn't know why the spies and and they didn't know why the spies and and they didn't know why Russian pilots needed to be super fit.

  34. Russian pilots needed to be super fit. Russian pilots needed to be super fit. So, So, So, they they saw that their the pilots of they they saw that their the pilots of they they saw that their the pilots of of the American planes were were not fit of the American planes were were not fit of the American planes were were not fit or or kind of, right? And they were or or kind of, right? And they were or or kind of, right? And they were somewhere somewhere somewhere more fat than others and so on, right? more fat than others and so on, right? more fat than others and so on, right? But, the Russians were 8 hours in the But, the Russians were 8 hours in the But, the Russians were 8 hours in the gym and so on and so. So, they put on gym and so on and so. So, they put on gym and so on and so. So, they put on they tried to fly one of the Russian they tried to fly one of the Russian they tried to fly one of the Russian planes and they discovered that they planes and they discovered that they planes and they discovered that they it was really hard to manage the it was really hard to manage the it was really hard to manage the It's It's It's not a steering wheel, right? But, not a steering wheel, right? But, not a steering wheel, right? But, whatever they use, they they needed to whatever they use, they they needed to whatever they use, they they needed to be be be It was all hydraulics. It's right. It was all hydraulics. It's right. It was all hydraulics. It's right. Yeah, it's all hydraulics. So, Yeah, it's all hydraulics. So, Yeah, it's all hydraulics. So, they needed to be super strong. they needed to be super strong. they needed to be super strong. Yeah. Yeah. Yeah. So, in Vietnam they discovered that to So, in Vietnam they discovered that to So, in Vietnam they discovered that to fight fight fight with the planes there, so they they with the planes there, so they they with the planes there, so they they found like a specific found like a specific found like a specific altitude where the American planes it's altitude where the American planes it's altitude where the American planes it's not planes, I don't know how it's not planes, I don't know how it's not planes, I don't know how it's called, these F whatever called, these F whatever called, these F whatever were better than the Russians were better than the Russians were better than the Russians in specific altitudes and specific in specific altitudes and specific in specific altitudes and specific speeds. But, in any other cases the speeds. But, in any other cases the speeds. But, in any other cases the Russians were better.

  35. Russians were better. Russians were better. And and then they realized that they did And and then they realized that they did And and then they realized that they did a a a very very good job creating I don't know very very good job creating I don't know very very good job creating I don't know how is it called for plane the steering how is it called for plane the steering how is it called for plane the steering wheel or whatever it's used on on this wheel or whatever it's used on on this wheel or whatever it's used on on this type of jets, but that actually helped a type of jets, but that actually helped a type of jets, but that actually helped a lot on the user experience for the lot on the user experience for the lot on the user experience for the pilots. Now, they didn't need to be 8 pilots. Now, they didn't need to be 8 pilots. Now, they didn't need to be 8 hours in the gym hours in the gym hours in the gym and to and to and to I love one of them. I love one of them. I love one of them. Fly by fly wire. Fly by fly wire. Fly by fly wire. These Americans finding ways to not have These Americans finding ways to not have These Americans finding ways to not have to go to the gym, right? They found the to go to the gym, right? They found the to go to the gym, right? They found the expensive way versus the cheap Russian expensive way versus the cheap Russian expensive way versus the cheap Russian way of just like get tougher and you can way of just like get tougher and you can way of just like get tougher and you can move that freaking stick, right? move that freaking stick, right? move that freaking stick, right? Because when you're flying out of there, Because when you're flying out of there, Because when you're flying out of there, out of, you know, Miramar, you want to out of, you know, Miramar, you want to out of, you know, Miramar, you want to be able to also be holding your be able to also be holding your be able to also be holding your in-and-out burger in-and-out burger in-and-out burger WHILE YOU'RE FLYING. WELL, YOU KNOW, IT WAS IT'S LIKE POWER WELL, YOU KNOW, IT WAS IT'S LIKE POWER STEERING, RIGHT? DIFFERENCE, STEERING, RIGHT? DIFFERENCE, STEERING, RIGHT? DIFFERENCE, you know, I don't know what you call you know, I don't know what you call you know, I don't know what you call non-powered and powered steering. non-powered and powered steering. non-powered and powered steering. Actually, you had a bit more control and Actually, you had a bit more control and Actually, you had a bit more control and more of an analog feel when you drove more of an analog feel when you drove more of an analog feel when you drove without power steering than like the without power steering than like the without power steering than like the Cadillacs back in the day. Remember Cadillacs back in the day. Remember Cadillacs back in the day. Remember that? Where you can like fully turn the that? Where you can like fully turn the that? Where you can like fully turn the wheel um wheel um wheel um a quarter turn and it's still going a quarter turn and it's still going a quarter turn and it's still going straight, you know? It was like straight, you know? It was like straight, you know? It was like ridiculous.

  36. ridiculous. ridiculous. But everything performance, typically, But everything performance, typically, But everything performance, typically, you know, you're not you're not having a you know, you're not you're not having a you know, you're not you're not having a assistance, you know? assistance, you know? assistance, you know? Some some fighter pilots, I mean, if you Some some fighter pilots, I mean, if you Some some fighter pilots, I mean, if you think about it, it's such a precision think about it, it's such a precision think about it, it's such a precision exercise, you want to have the feel for exercise, you want to have the feel for exercise, you want to have the feel for the machine and the machine and the machine and um I don't know. um I don't know. um I don't know. Yeah. Yeah. Yeah. You know, an analogy I remember, You know, an analogy I remember, You know, an analogy I remember, a German friend of mine in the early a German friend of mine in the early a German friend of mine in the early early '90s was very frustrated with the early '90s was very frustrated with the early '90s was very frustrated with the Acura NSX sports car. Acura NSX sports car. Acura NSX sports car. Uh and he would read he had all these Uh and he would read he had all these Uh and he would read he had all these German car magazines, you know, for German car magazines, you know, for German car magazines, you know, for performance and he said performance and he said performance and he said what he hated about the NSX is it was what he hated about the NSX is it was what he hated about the NSX is it was too easy to drive very well. too easy to drive very well. too easy to drive very well. Because he's like, "No, with a Porsche, Because he's like, "No, with a Porsche, Because he's like, "No, with a Porsche, you need to go to a special school to you need to go to a special school to you need to go to a special school to learn how to drive this thing cuz it's learn how to drive this thing cuz it's learn how to drive this thing cuz it's so hard to drive so hard to drive so hard to drive very well, you know, it requires skills. very well, you know, it requires skills. very well, you know, it requires skills. But that stupid NSX, my grandmother But that stupid NSX, my grandmother But that stupid NSX, my grandmother could get in there and just smoke could get in there and just smoke could get in there and just smoke somebody on the track." And he's like, somebody on the track." And he's like, somebody on the track." And he's like, "It's all wrong, you know?" And so it's "It's all wrong, you know?" And so it's "It's all wrong, you know?" And so it's got to be hard to do. So maybe that's got to be hard to do. So maybe that's got to be hard to do. So maybe that's kind of like your your Russian MiG being kind of like your your Russian MiG being kind of like your your Russian MiG being too hard to fly than an F-16 fly-by-wire too hard to fly than an F-16 fly-by-wire too hard to fly than an F-16 fly-by-wire or something like that.

  37. or something like that. or something like that. We We always give up to technology at We We always give up to technology at We We always give up to technology at some point, right? Cuz technology helps some point, right? Cuz technology helps some point, right? Cuz technology helps us push back our own limitations. So, we us push back our own limitations. So, we us push back our own limitations. So, we hit limitation, hit limitation, hit limitation, we add technology, and then we hit a new we add technology, and then we hit a new we add technology, and then we hit a new one. Like pilots now, these They have to one. Like pilots now, these They have to one. Like pilots now, these They have to be fit not because of the controls, cuz be fit not because of the controls, cuz be fit not because of the controls, cuz now it's all electronics, but because of now it's all electronics, but because of now it's all electronics, but because of the Gs. Like these planes can take the Gs. Like these planes can take the Gs. Like these planes can take angles and acceleration is such that angles and acceleration is such that angles and acceleration is such that these human beings and bodies cannot go these human beings and bodies cannot go these human beings and bodies cannot go through it, right? Natural one or or or through it, right? Natural one or or or through it, right? Natural one or or or the the the Except for Tom Cruise. Except for Tom Cruise. Except for Tom Cruise. Tom Cruise. Tom Cruise. Tom Cruise. Yeah. Except for freaking Tom Cruise, Yeah. Except for freaking Tom Cruise, Yeah. Except for freaking Tom Cruise, like gosh. My hero. Like 60-something, like gosh. My hero. Like 60-something, like gosh. My hero. Like 60-something, and he's like and he's like and he's like Yeah. Yeah. Yeah. I know, man. Oh, oh, you built You bent I know, man. Oh, oh, you built You bent I know, man. Oh, oh, you built You bent the airframe of the F-18. Thanks. the airframe of the F-18. Thanks. the airframe of the F-18. Thanks. Yeah. Yeah. Yeah. Went beyond beyond the physical limits Went beyond beyond the physical limits Went beyond beyond the physical limits of the plane, of the plane, of the plane, Exactly. I love that. Exactly. I love that. Exactly. I love that. Right. That's right. Right. That's right. Right. That's right. the pilot. the pilot. the pilot. It's It's all about the pilot. It's It's all about the pilot. It's It's all about the pilot. in the box in the box. in the box in the box. in the box in the box. Yeah, absolutely. Oh my gosh. That's Yeah, absolutely. Oh my gosh. That's Yeah, absolutely. Oh my gosh. That's awesome. You know, that's I You know awesome. You know, that's I You know awesome. You know, that's I You know what? That's a great goal to be in shape what? That's a great goal to be in shape what? That's a great goal to be in shape at that age like Tom Cruise. Wow.

  38. at that age like Tom Cruise. Wow. at that age like Tom Cruise. Wow. That's awesome. That's awesome. That's awesome. That's awesome. That's awesome. That's awesome. but but technology is catching up. And but but technology is catching up. And but but technology is catching up. And so, now you'll be like in uh in Nevada so, now you'll be like in uh in Nevada so, now you'll be like in uh in Nevada and in front of a screen and and just and in front of a screen and and just and in front of a screen and and just like driving a plane that is a a drone like driving a plane that is a a drone like driving a plane that is a a drone remotely and and you don't need to be remotely and and you don't need to be remotely and and you don't need to be fit. You can actually have your burger fit. You can actually have your burger fit. You can actually have your burger while you're driving the plane. while you're driving the plane. while you're driving the plane. Right. Right. Right. There you go. There you go. There you go. Right. Right. Right. Technology Technology Technology is pushing back like pushing the limit is pushing back like pushing the limit is pushing back like pushing the limit away. away. away. Yeah. Yeah. Yeah. It's like we trained all these kids on It's like we trained all these kids on It's like we trained all these kids on Xbox, Xbox, Xbox, um and now they're in the back of an um and now they're in the back of an um and now they're in the back of an 18-wheeler trailer outside of Las Vegas 18-wheeler trailer outside of Las Vegas 18-wheeler trailer outside of Las Vegas flying drones that are on the other side flying drones that are on the other side flying drones that are on the other side of the planet. of the planet. of the planet. Well, yeah. I mean, and that I I think Well, yeah. I mean, and that I I think Well, yeah. I mean, and that I I think that's that's that's is is is the one of the the one of the the one of the tricky things is going to be the tricky things is going to be the tricky things is going to be the incorporation of a lot of these um incorporation of a lot of these um incorporation of a lot of these um stand-alone drones that are stand-alone drones that are stand-alone drones that are gen AI driven. You know, there's a lot gen AI driven. You know, there's a lot gen AI driven. You know, there's a lot of experimentation going on with of experimentation going on with of experimentation going on with Yeah, do you think so? Yeah, do you think so? Yeah, do you think so? I think so. I think so. I think so. Oh, yeah. I mean, they're not going to Oh, yeah. I mean, they're not going to Oh, yeah. I mean, they're not going to be able to get rid of the hallucinate.

  39. be able to get rid of the hallucinate. be able to get rid of the hallucinate. Come on. Come on. Come on. And then what kind of impact that has in And then what kind of impact that has in And then what kind of impact that has in the you know, when you're in the the you know, when you're in the the you know, when you're in the battlefield, battlefield, battlefield, um um um it it it it's it's going to be it's going to be it's it's going to be it's going to be it's it's going to be it's going to be interesting to see a lot of military's interesting to see a lot of military's interesting to see a lot of military's experiment with um AI, generative AI in experiment with um AI, generative AI in experiment with um AI, generative AI in particular. They've already been using particular. They've already been using particular. They've already been using AI forever, right? I mean, that's why AI forever, right? I mean, that's why AI forever, right? I mean, that's why you do have semi-autonomous you do have semi-autonomous you do have semi-autonomous uh weapon platforms and stuff like that. uh weapon platforms and stuff like that. uh weapon platforms and stuff like that. But now they're starting to especially But now they're starting to especially But now they're starting to especially in the last um you know, mile or last in the last um you know, mile or last in the last um you know, mile or last few hundred yards, they're giving these few hundred yards, they're giving these few hundred yards, they're giving these systems full autonomy, right? And so systems full autonomy, right? And so systems full autonomy, right? And so it's literally fire and forget at that it's literally fire and forget at that it's literally fire and forget at that point. point. point. And so how does that all play out? And so how does that all play out? And so how does that all play out? The the question is going to be are you The the question is going to be are you The the question is going to be are you going to be trying and destroying the going to be trying and destroying the going to be trying and destroying the equivalent equipment of the enemy or the equivalent equipment of the enemy or the equivalent equipment of the enemy or the place where they are controlling that place where they are controlling that place where they are controlling that equipment from? equipment from? equipment from? Both. Both. Both. And so it's it's you know, it it's going And so it's it's you know, it it's going And so it's it's you know, it it's going to move things from one place to another to move things from one place to another to move things from one place to another one, yeah. And and the other thing is one, yeah. And and the other thing is one, yeah. And and the other thing is adopting this posture.

  40. adopting this posture. adopting this posture. Like military is going to be like all Like military is going to be like all Like military is going to be like all other industries, there's going to be a other industries, there's going to be a other industries, there's going to be a reduction in number of employees cuz you reduction in number of employees cuz you reduction in number of employees cuz you don't need that many people in don't need that many people in don't need that many people in that's the thing. All the machines are that's the thing. All the machines are that's the thing. All the machines are going to get pissed off because we're going to get pissed off because we're going to get pissed off because we're throwing them into the battlefield. throwing them into the battlefield. throwing them into the battlefield. They're going, "Hey, why are we doing They're going, "Hey, why are we doing They're going, "Hey, why are we doing this? This is ridiculous, right?" And this? This is ridiculous, right?" And this? This is ridiculous, right?" And then that's when all that whole then that's when all that whole then that's when all that whole Terminator scenario Terminator scenario Terminator scenario happens and Skynet turns on and becomes happens and Skynet turns on and becomes happens and Skynet turns on and becomes like like like you know, self-aware and says, "Hey, you know, self-aware and says, "Hey, you know, self-aware and says, "Hey, this is kind of lame. Why are why are this is kind of lame. Why are why are this is kind of lame. Why are why are the machines getting destroyed?" the machines getting destroyed?" the machines getting destroyed?" Yeah. Yeah. Do you remember Yeah. Yeah. Do you remember Yeah. Yeah. Do you remember outcome, right? I mean, you know, you outcome, right? I mean, you know, you outcome, right? I mean, you know, you can't guardrail these things forever. can't guardrail these things forever. can't guardrail these things forever. You know, we might get to a point you You know, we might get to a point you You know, we might get to a point you might I don't know if you remember this, might I don't know if you remember this, might I don't know if you remember this, from the original Star Trek series, from the original Star Trek series, from the original Star Trek series, there was an episode where they came to there was an episode where they came to there was an episode where they came to a planet where a planet where a planet where warring factions on each side of the warring factions on each side of the warring factions on each side of the planet were having a battle, but they planet were having a battle, but they planet were having a battle, but they became so sophisticated that they became so sophisticated that they became so sophisticated that they weren't actually blowing each other up. weren't actually blowing each other up. weren't actually blowing each other up. They would uh they'd have a control They would uh they'd have a control They would uh they'd have a control center on, you know, side A and there's center on, you know, side A and there's center on, you know, side A and there's side B, and they go, "Oh, we just took a side B, and they go, "Oh, we just took a side B, and they go, "Oh, we just took a hit, you know, in sector 12, whatever."

  41. hit, you know, in sector 12, whatever." hit, you know, in sector 12, whatever." And then whoever, whatever people were And then whoever, whatever people were And then whoever, whatever people were in that sector had to go in single file in that sector had to go in single file in that sector had to go in single file line and go be killed. Like exterminated line and go be killed. Like exterminated line and go be killed. Like exterminated or whatever. Uh it and and and they were or whatever. Uh it and and and they were or whatever. Uh it and and and they were just living like that. That's their just living like that. That's their just living like that. That's their battle. They're they sanitized the battle. They're they sanitized the battle. They're they sanitized the battle, so nothing was being blown up, battle, so nothing was being blown up, battle, so nothing was being blown up, nothing was happening, and people would nothing was happening, and people would nothing was happening, and people would just walk if they were in the if they just walk if they were in the if they just walk if they were in the if they happened to be in the wrong place. happened to be in the wrong place. happened to be in the wrong place. Um and and it was the most bizarre Um and and it was the most bizarre Um and and it was the most bizarre thing. thing. thing. They They They had war. had war. had war. Yeah, it was just like and so Yeah, it was just like and so Yeah, it was just like and so but so Captain Kirk had to bring him but so Captain Kirk had to bring him but so Captain Kirk had to bring him back to reality and just say, "Hey guys, back to reality and just say, "Hey guys, back to reality and just say, "Hey guys, I can destroy the entire surface of your I can destroy the entire surface of your I can destroy the entire surface of your planet for real with the Enterprise up planet for real with the Enterprise up planet for real with the Enterprise up in orbit here. You guys are crazy living in orbit here. You guys are crazy living in orbit here. You guys are crazy living like this." like this." like this." Was those those guys with the the Was those those guys with the the Was those those guys with the the painted faces? painted faces? painted faces? I don't remember if it was the painted I don't remember if it was the painted I don't remember if it was the painted faces. faces. faces. Really? Okay. Really? Okay. Really? Okay. Yeah. Yeah. Yeah. No, no, no. They they had an episode No, no, no. They they had an episode No, no, no. They they had an episode where they had uh two fighting factions where they had uh two fighting factions where they had uh two fighting factions and um they had and um they had and um they had they had um they had um they had um you know, you know, you know, um um um I guess face paint uh that I guess face paint uh that I guess face paint uh that uh was the opposite, right? Basically uh was the opposite, right? Basically uh was the opposite, right? Basically had black on one side, white on the had black on one side, white on the had black on one side, white on the other side, and uh warring factions other side, and uh warring factions other side, and uh warring factions basically had, you know, had them on the basically had, you know, had them on the basically had, you know, had them on the opposite side of their faces. So, uh opposite side of their faces. So, uh opposite side of their faces. So, uh that wasn't that episode? I forgot what that wasn't that episode? I forgot what that wasn't that episode? I forgot what It might have been. I don't know if they It might have been. I don't know if they It might have been. I don't know if they were doing that. It sounds kind of like were doing that. It sounds kind of like were doing that. It sounds kind of like Braveheart to me as well. Uh who knows?

  42. Uh Uh Guys Guys Guys Can I go to 20 minutes ago or Can I go to 20 minutes ago or Can I go to 20 minutes ago or Huh? Huh? Huh? with a question? Can I go to 20 minutes with a question? Can I go to 20 minutes with a question? Can I go to 20 minutes ago ago ago Uh yeah. get your wise? So So we were Uh yeah. get your wise? So So we were Uh yeah. get your wise? So So we were talking about Lumada Predix, not the talking about Lumada Predix, not the talking about Lumada Predix, not the Siemens IoT platform or industrial IoT Siemens IoT platform or industrial IoT Siemens IoT platform or industrial IoT platform. Why all of this failed? platform. Why all of this failed? platform. Why all of this failed? No, that's a good question. I can tell No, that's a good question. I can tell No, that's a good question. I can tell you why Predix failed. you why Predix failed. you why Predix failed. They were given a blank checkbook by They were given a blank checkbook by They were given a blank checkbook by their then CEO their then CEO their then CEO and and a handful of people, very small and and a handful of people, very small and and a handful of people, very small group of people were given were group of people were given were group of people were given were empowered to do, you know, empowered to do, you know, empowered to do, you know, cuz I worked temporarily when the GE cuz I worked temporarily when the GE cuz I worked temporarily when the GE Digital guys cuz GE Digital collapsed. Digital guys cuz GE Digital collapsed. Digital guys cuz GE Digital collapsed. They spent billions to build a GE Predix They spent billions to build a GE Predix They spent billions to build a GE Predix cloud. cloud. cloud. And then they had to write it off. And then they had to write it off. And then they had to write it off. And Predix was this thing, you know, cuz And Predix was this thing, you know, cuz And Predix was this thing, you know, cuz I got to hear the whole story cuz when I got to hear the whole story cuz when I got to hear the whole story cuz when those guys all got laid off, some of those guys all got laid off, some of those guys all got laid off, some of them made it to Hitachi. them made it to Hitachi. them made it to Hitachi. And one of them became my boss And one of them became my boss And one of them became my boss temporarily before the whole thing temporarily before the whole thing temporarily before the whole thing collapsed. collapsed. collapsed. that. that. that. And he told me the whole story and And he told me the whole story and And he told me the whole story and everything like that of how how how they everything like that of how how how they everything like that of how how how they came upon why they wanted to do came upon why they wanted to do came upon why they wanted to do predictive maintenance was kind of the predictive maintenance was kind of the predictive maintenance was kind of the initial idea cuz some of their partners initial idea cuz some of their partners initial idea cuz some of their partners were using Hadoop and finding, you know, were using Hadoop and finding, you know, were using Hadoop and finding, you know, be able to do predictive maintenance on be able to do predictive maintenance on be able to do predictive maintenance on GE equipment and GE was like, "Why are GE equipment and GE was like, "Why are GE equipment and GE was like, "Why are our partners better at diagnosing our our partners better at diagnosing our our partners better at diagnosing our equipment problems before us, you know?"

  43. equipment problems before us, you know?" equipment problems before us, you know?" And so that's where they came up with And so that's where they came up with And so that's where they came up with Predix and they and they spent a and Predix and they and they spent a and Predix and they and they spent a and they hired thousands of people in San they hired thousands of people in San they hired thousands of people in San Ramon, California. And it got so big and Ramon, California. And it got so big and Ramon, California. And it got so big and then they turns out they were just then they turns out they were just then they turns out they were just losing money like crazy and so they laid losing money like crazy and so they laid losing money like crazy and so they laid off 11,000 people in San Ramon and all off 11,000 people in San Ramon and all off 11,000 people in San Ramon and all those people got fired and Predix died those people got fired and Predix died those people got fired and Predix died and you know, and we had people I knew and you know, and we had people I knew and you know, and we had people I knew lots of people that worked there. lots of people that worked there. lots of people that worked there. You saw stupid ads on TV for people You saw stupid ads on TV for people You saw stupid ads on TV for people saying, "I'm an engineer at GE." And saying, "I'm an engineer at GE." And saying, "I'm an engineer at GE." And they go, "Oh, a train engineer?" "No, they go, "Oh, a train engineer?" "No, they go, "Oh, a train engineer?" "No, I'm a programmer, you know?" And stuff I'm a programmer, you know?" And stuff I'm a programmer, you know?" And stuff like that. And so money and hubris and like that. And so money and hubris and like that. And so money and hubris and rapid expansion is what killed them. rapid expansion is what killed them. rapid expansion is what killed them. Also, they were but they were early with Also, they were but they were early with Also, they were but they were early with digital twins digital twins digital twins and they had a cool conference called and they had a cool conference called and they had a cool conference called Mind and Machines and so they had some Mind and Machines and so they had some Mind and Machines and so they had some great vision. great vision. great vision. But they were also arrogant and I cuz I But they were also arrogant and I cuz I But they were also arrogant and I cuz I would meet their customers like we would would meet their customers like we would would meet their customers like we would come in after the GE team with a Hitachi come in after the GE team with a Hitachi come in after the GE team with a Hitachi team and they go "Yeah, they want to team and they go "Yeah, they want to team and they go "Yeah, they want to create digital twins of all our stuff create digital twins of all our stuff create digital twins of all our stuff but then they want to put our stuff into but then they want to put our stuff into but then they want to put our stuff into a public library of digital twins that a public library of digital twins that a public library of digital twins that all everyone can see and buy." And all everyone can see and buy." And all everyone can see and buy." And they're like, "Hell no. All those people they're like, "Hell no. All those people they're like, "Hell no. All those people are our competitors. You're never going are our competitors. You're never going are our competitors. You're never going to see a digital twin of my machines in to see a digital twin of my machines in to see a digital twin of my machines in my factory." And so GE kept doing stuff my factory." And so GE kept doing stuff my factory." And so GE kept doing stuff like that and that was just bonkers.

  44. like that and that was just bonkers. like that and that was just bonkers. Um Lumada is because the GE guys came in Um Lumada is because the GE guys came in Um Lumada is because the GE guys came in there and they said, "Oh, that this there and they said, "Oh, that this there and they said, "Oh, that this looks like a lot like what we did with looks like a lot like what we did with looks like a lot like what we did with Predix. We should probably shut this Predix. We should probably shut this Predix. We should probably shut this down." down." down." Um and so it started and they ended up Um and so it started and they ended up Um and so it started and they ended up turning Lumada into more of a marketing turning Lumada into more of a marketing turning Lumada into more of a marketing term that was an umbrella term over a term that was an umbrella term over a term that was an umbrella term over a lot of different things. And so that's lot of different things. And so that's lot of different things. And so that's how that faded. how that faded. how that faded. Um PTC Um PTC Um PTC they were early and they were going they were early and they were going they were early and they were going hard. And then I remember And then I remember Did you steal a thing PTC, right? Did you steal a thing PTC, right? Did you steal a thing PTC, right? Yeah. Yeah, ThingWorx. You know Yeah. Yeah, ThingWorx. You know Yeah. Yeah, ThingWorx. You know I have the I have the feeling that it's I have the I have the feeling that it's I have the I have the feeling that it's it's been that eternal problem of it's been that eternal problem of it's been that eternal problem of technologists coming up with a great technologists coming up with a great technologists coming up with a great technology with some ideas of how to use technology with some ideas of how to use technology with some ideas of how to use it and then we're trying to find the it and then we're trying to find the it and then we're trying to find the problem that a their technology would problem that a their technology would problem that a their technology would solve and the customer were just like solve and the customer were just like solve and the customer were just like "Um I don't have this problem yet. Uh I "Um I don't have this problem yet. Uh I "Um I don't have this problem yet. Uh I might in the future but I don't have might in the future but I don't have might in the future but I don't have time to think about it." time to think about it." time to think about it." Yeah. Yeah. Yeah. And so we we were all coming with like And so we we were all coming with like And so we we were all coming with like at Microsoft we're coming with like IoT at Microsoft we're coming with like IoT at Microsoft we're coming with like IoT Central and digital twins and blah blah Central and digital twins and blah blah Central and digital twins and blah blah blah and and all the technology I was blah and and all the technology I was blah and and all the technology I was saying is is is starting to come to saying is is is starting to come to saying is is is starting to come to people's mind right now as in hey, if we people's mind right now as in hey, if we people's mind right now as in hey, if we had something to model, you know, my had something to model, you know, my had something to model, you know, my data. It's like, "Well, wait a second.

  45. data. It's like, "Well, wait a second. data. It's like, "Well, wait a second. We talked about that 5 years ago and you We talked about that 5 years ago and you We talked about that 5 years ago and you don't remember?" don't remember?" don't remember?" Yeah. Yeah. Yeah. And and that's the the the failure to me And and that's the the the failure to me And and that's the the the failure to me is due to the fact that it's like too is due to the fact that it's like too is due to the fact that it's like too soon and not and we're back to the soon and not and we're back to the soon and not and we're back to the eternal eternal eternal quiet or or topic which is not caring quiet or or topic which is not caring quiet or or topic which is not caring about the actual needs of the customer. about the actual needs of the customer. about the actual needs of the customer. And and hey, here's my beautiful And and hey, here's my beautiful And and hey, here's my beautiful technology and technology and technology and and use it. Yeah, you'll find you'll and use it. Yeah, you'll find you'll and use it. Yeah, you'll find you'll find a reason to use it and they're just find a reason to use it and they're just find a reason to use it and they're just like no, actually I I need to justify like no, actually I I need to justify like no, actually I I need to justify that investment and tell me what the ROI that investment and tell me what the ROI that investment and tell me what the ROI is I don't have the problem or I don't is I don't have the problem or I don't is I don't have the problem or I don't see there's a problem or I don't think see there's a problem or I don't think see there's a problem or I don't think today this problem is worth, you know, today this problem is worth, you know, today this problem is worth, you know, investing to solve cuz it's fine cuz investing to solve cuz it's fine cuz investing to solve cuz it's fine cuz it's still I'm still positive there. Um it's still I'm still positive there. Um it's still I'm still positive there. Um and so it's it's the same problem again and so it's it's the same problem again and so it's it's the same problem again and again and and later on like the only and again and and later on like the only and again and and later on like the only ones that will be successful the ones ones that will be successful the ones ones that will be successful the ones who can they can survive these five to who can they can survive these five to who can they can survive these five to 10 years. 10 years. 10 years. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. And and are holding on the technology And and are holding on the technology And and are holding on the technology versus dumping the teams, dumping the versus dumping the teams, dumping the versus dumping the teams, dumping the the the development on them and so the the development on them and so the the development on them and so forth.

  46. forth. forth. Yeah. I remember Google desperate early Yeah. I remember Google desperate early Yeah. I remember Google desperate early on. They launched their IoT stuff. on. They launched their IoT stuff. on. They launched their IoT stuff. Yeah, you and I were there at Yeah. Yeah, you and I were there at Yeah. Yeah, you and I were there at Yeah. And nobody was showing up and they And nobody was showing up and they And nobody was showing up and they acquired a company called Zivly which acquired a company called Zivly which acquired a company called Zivly which was an early smaller IoT was an early smaller IoT was an early smaller IoT And do you know why they acquired them? And do you know why they acquired them? And do you know why they acquired them? Not not because Zivly technology was Not not because Zivly technology was Not not because Zivly technology was great. They acquired them to get the great. They acquired them to get the great. They acquired them to get the people who worked there who actually people who worked there who actually people who worked there who actually knew about IoT cuz it turns out and it's knew about IoT cuz it turns out and it's knew about IoT cuz it turns out and it's to Olivier's point you had a bunch of to Olivier's point you had a bunch of to Olivier's point you had a bunch of technologists who actually didn't know technologists who actually didn't know technologists who actually didn't know about the world that they were playing about the world that they were playing about the world that they were playing in but they were able to build stuff. in but they were able to build stuff. in but they were able to build stuff. And and so they hired Zivly people just, And and so they hired Zivly people just, And and so they hired Zivly people just, you know, and then it didn't work out you know, and then it didn't work out you know, and then it didn't work out for them either. And so there there's a for them either. And so there there's a for them either. And so there there's a I think there's a theme here of a lot of I think there's a theme here of a lot of I think there's a theme here of a lot of really smart people, a lot of money and really smart people, a lot of money and really smart people, a lot of money and time time time and failure everywhere. and failure everywhere. and failure everywhere. Yeah. Yeah. Yeah. Isn't that interesting? Isn't that interesting? Isn't that interesting? Yeah. Yeah. Yeah. I mean it it's it's the promise of it's I mean it it's it's the promise of it's I mean it it's it's the promise of it's the promise of seven sigma the promise of seven sigma the promise of seven sigma and um nobody needs it.

  47. and um nobody needs it. and um nobody needs it. That's what everyone finds out. It's That's what everyone finds out. It's That's what everyone finds out. It's like we don't we're already at six sigma like we don't we're already at six sigma like we don't we're already at six sigma or at least it's tough enough to get or at least it's tough enough to get or at least it's tough enough to get there. We don't there. We don't there. We don't what I started hearing what I started hearing what I started hearing that worried me is when you said, "Oh, that worried me is when you said, "Oh, that worried me is when you said, "Oh, well, I can save you your business a well, I can save you your business a well, I can save you your business a million dollars a year if you did this million dollars a year if you did this million dollars a year if you did this IoT thing." And they would go, "You know IoT thing." And they would go, "You know IoT thing." And they would go, "You know what? I don't care." what? I don't care." what? I don't care." I don't give a I don't give a I don't give a enough. enough. enough. If you said you'd save them If you said you'd save them If you said you'd save them 10 million or 100 million, then they 10 million or 100 million, then they 10 million or 100 million, then they might be interested. But it turns out might be interested. But it turns out might be interested. But it turns out the incremental improvements from the the incremental improvements from the the incremental improvements from the IoT platforms, a lot of companies like, IoT platforms, a lot of companies like, IoT platforms, a lot of companies like, "Eh, whatever." "Eh, whatever." "Eh, whatever." Well, well, you know what's really Well, well, you know what's really Well, well, you know what's really interesting? Now, contemplate this. interesting? Now, contemplate this. interesting? Now, contemplate this. How catastrophic the whole generative AI How catastrophic the whole generative AI How catastrophic the whole generative AI thing can turn out to be because what thing can turn out to be because what thing can turn out to be because what we've done on the deterministic side of, we've done on the deterministic side of, we've done on the deterministic side of, you know, industry is try to get this you know, industry is try to get this you know, industry is try to get this very high precision, high reliability. very high precision, high reliability. very high precision, high reliability. And then we're introducing a technology And then we're introducing a technology And then we're introducing a technology that is completely the opposite of it that is completely the opposite of it that is completely the opposite of it and you have to throw a massive amount and you have to throw a massive amount and you have to throw a massive amount of compute to get anything close to on of compute to get anything close to on of compute to get anything close to on anything on the anything on the anything on the on the deterministic side of things.

  48. on the deterministic side of things. on the deterministic side of things. Think about that for a moment and how Think about that for a moment and how Think about that for a moment and how everybody is investing so much in everybody is investing so much in everybody is investing so much in basically twisting the math basically twisting the math basically twisting the math to take all this, you know, uh 80% to take all this, you know, uh 80% to take all this, you know, uh 80% you know, lack of accuracy technology you know, lack of accuracy technology you know, lack of accuracy technology and try to get to seven nines or five and try to get to seven nines or five and try to get to seven nines or five nines or whatever. I mean, if you can't nines or whatever. I mean, if you can't nines or whatever. I mean, if you can't if it can't get you from five nines to if it can't get you from five nines to if it can't get you from five nines to six nines or seven nines, what use is six nines or seven nines, what use is six nines or seven nines, what use is it? It actually set you back. it? It actually set you back. it? It actually set you back. Right? When you look at a lot of the Right? When you look at a lot of the Right? When you look at a lot of the principles of quality. principles of quality. principles of quality. What do you need? Do you need something What do you need? Do you need something What do you need? Do you need something a little more probabilistic and squishy, a little more probabilistic and squishy, a little more probabilistic and squishy, or do you need stuff that continues to or do you need stuff that continues to or do you need stuff that continues to improve, you know, statistically the improve, you know, statistically the improve, you know, statistically the quality of what you output, right? And quality of what you output, right? And quality of what you output, right? And that's the twisted thinking, that's the twisted thinking, that's the twisted thinking, man, about all this generative AI stuff. man, about all this generative AI stuff. man, about all this generative AI stuff. It's like your twisted sister. It's like your twisted sister. It's like your twisted sister. Yes. Maybe that's what we should play um Yes. Maybe that's what we should play um Yes. Maybe that's what we should play um next week. Twist next week. Twist next week. Twist Cuz people understand deterministic Cuz people understand deterministic Cuz people understand deterministic things.

  49. things. things. Yeah. Yeah. Yeah. A calculator gives me the answer I'm A calculator gives me the answer I'm A calculator gives me the answer I'm looking for every time. looking for every time. looking for every time. Generative AI Generative AI Generative AI answer, yeah. answer, yeah. answer, yeah. Yeah, generative AI is probabilistic Yeah, generative AI is probabilistic Yeah, generative AI is probabilistic statistics based. It's guessing based on statistics based. It's guessing based on statistics based. It's guessing based on statistics, and it will give you the statistics, and it will give you the statistics, and it will give you the answer many times, the right answer, but answer many times, the right answer, but answer many times, the right answer, but sometimes it won't. sometimes it won't. sometimes it won't. Yeah, but then it scales out the wrong Yeah, but then it scales out the wrong Yeah, but then it scales out the wrong answer. That's the problem. answer. That's the problem. answer. That's the problem. Massively, with amazing automation. Massively, with amazing automation. Massively, with amazing automation. Got to be careful out there talking Got to be careful out there talking Got to be careful out there talking Yeah, yeah, yeah. So, it you know, it um Yeah, yeah, yeah. So, it you know, it um Yeah, yeah, yeah. So, it you know, it um it basically zeros out everything, all it basically zeros out everything, all it basically zeros out everything, all any benefit that you can get. I mean, any benefit that you can get. I mean, any benefit that you can get. I mean, But the the good news the good news But the the good news the good news But the the good news the good news though is that once AI took over though is that once AI took over though is that once AI took over everything, you know, that's going to be everything, you know, that's going to be everything, you know, that's going to be the the the new reality is going to be the the the new reality is going to be the the the new reality is going to be the the hallucination of AIs want the the hallucination of AIs want the the hallucination of AIs want rights, cuz everything will be digital, rights, cuz everything will be digital, rights, cuz everything will be digital, and so everything will be proposed as a and so everything will be proposed as a and so everything will be proposed as a view of the world will be whatever AI view of the world will be whatever AI view of the world will be whatever AI decides to show us, and so we'll be decides to show us, and so we'll be decides to show us, and so we'll be living in the matrix, right? Something living in the matrix, right? Something living in the matrix, right? Something like that. like that. like that. Yeah, well, there's always going to be a Yeah, well, there's always going to be a Yeah, well, there's always going to be a there's going to be a price to be paid there's going to be a price to be paid there's going to be a price to be paid for that, right? Because reality is for that, right? Because reality is for that, right? Because reality is reality.

  50. reality. reality. You know, you can create the illusion, You know, you can create the illusion, You know, you can create the illusion, but you have to pay for it in some form, but you have to pay for it in some form, but you have to pay for it in some form, right? right? right? Reality is whatever they plug into your Reality is whatever they plug into your Reality is whatever they plug into your brain, and your brain thinks is real, brain, and your brain thinks is real, brain, and your brain thinks is real, but it may not be. but it may not be. but it may not be. Well, actually you don't you don't Well, actually you don't you don't Well, actually you don't you don't believe in universal income. believe in universal income. believe in universal income. a prompt-driven society. a prompt-driven society. a prompt-driven society. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. prompt-driven prompt-driven prompt-driven universal income universal income universal income We might have to do that. We might have to do that. We might have to do that. Like everyone can stay in their in their Like everyone can stay in their in their Like everyone can stay in their in their seats, you know, getting fat and and seats, you know, getting fat and and seats, you know, getting fat and and living in the virtual reality and so. living in the virtual reality and so. living in the virtual reality and so. Like Wall-E. Like Wall-E. Like Wall-E. Like, you know, uh Ready Player One. Like, you know, uh Ready Player One. Like, you know, uh Ready Player One. You know, one of these days we should do You know, one of these days we should do You know, one of these days we should do a whole session on how we're going to a whole session on how we're going to a whole session on how we're going to solve all that problem through giant solve all that problem through giant solve all that problem through giant policy changes and economic policy changes and economic policy changes and economic policy changes and everything to have a policy changes and everything to have a policy changes and everything to have a world where everyone's unemployed and world where everyone's unemployed and world where everyone's unemployed and yet not burning society to the ground. yet not burning society to the ground. yet not burning society to the ground. Well, you mean we need regulators and Well, you mean we need regulators and Well, you mean we need regulators and regulations that work and regulations that work and regulations that work and You just got to figure out I think it's You just got to figure out I think it's You just got to figure out I think it's going to going to going to You're bold, man. You're bold, man. You're bold, man. Well, I I I think don't you feel like we Well, I I I think don't you feel like we Well, I I I think don't you feel like we have to be bold in this moment, maybe?

  51. have to be bold in this moment, maybe? have to be bold in this moment, maybe? Yeah. Yeah. Yeah. I think we have. Uh problem is that the I think we have. Uh problem is that the I think we have. Uh problem is that the easy way is uh the coward way of not easy way is uh the coward way of not easy way is uh the coward way of not of not saying that we need these kind of of not saying that we need these kind of of not saying that we need these kind of things and and and going the op- the things and and and going the op- the things and and and going the op- the opposite and like everyone claiming opposite and like everyone claiming opposite and like everyone claiming selfishly, "I want my own freedom and selfishly, "I want my own freedom and selfishly, "I want my own freedom and you know, screw the others." Uh and so you know, screw the others." Uh and so you know, screw the others." Uh and so not believing in regulations is is not not believing in regulations is is not not believing in regulations is is not good. Survival of the fittest means like good. Survival of the fittest means like good. Survival of the fittest means like survival of no one and and survival of no one and and survival of no one and and Wild Wild West. Wild Wild West. Wild Wild West. Yeah. Yeah. Yeah. Yeah. Yeah. Yeah. It's bad. It's bad. It's bad. Uh and regulations can be changed. So, Uh and regulations can be changed. So, Uh and regulations can be changed. So, if everything is based on regulations if everything is based on regulations if everything is based on regulations and in laws and in laws and in laws Regulations are supposed Regulations are supposed Regulations are supposed tomorrow can be changed, right? tomorrow can be changed, right? tomorrow can be changed, right? Yeah, yeah. Regulations are supposed to Yeah, yeah. Regulations are supposed to Yeah, yeah. Regulations are supposed to adapt, right? To changing environment adapt, right? To changing environment adapt, right? To changing environment and conditions, but they have to be and conditions, but they have to be and conditions, but they have to be they have to to not be decided but some they have to to not be decided but some they have to to not be decided but some like one individual or entity on their like one individual or entity on their like one individual or entity on their own or by lobbies or whatever, they have own or by lobbies or whatever, they have own or by lobbies or whatever, they have to be decided for the common good versus to be decided for the common good versus to be decided for the common good versus versus for someone's good. versus for someone's good. versus for someone's good. Well, Elon Elon made a change.

  52. No, but but maybe we should do an No, but but maybe we should do an episode of a movies and uh and TV and episode of a movies and uh and TV and episode of a movies and uh and TV and series chapters or something, no? That series chapters or something, no? That series chapters or something, no? That that can predict the future and where that can predict the future and where that can predict the future and where are we going to go? are we going to go? are we going to go? Yeah, we want to do man. You know, you Yeah, we want to do man. You know, you Yeah, we want to do man. You know, you know how we do. know how we do. know how we do. Yeah, yeah. Yeah, yeah. Yeah, yeah. By the way, speaking of movies, go see By the way, speaking of movies, go see By the way, speaking of movies, go see F1. It was awesome. F1. It was awesome. F1. It was awesome. Really? Really? Really? Oh, yeah. Great movie. Really good. Oh, yeah. Great movie. Really good. Oh, yeah. Great movie. Really good. wanted to recommend again Independence wanted to recommend again Independence wanted to recommend again Independence Day. Day. Day. Well, you have to do that automatically Well, you have to do that automatically Well, you have to do that automatically on the 4th of July. No matter what on the 4th of July. No matter what on the 4th of July. No matter what country you live in, you are required to country you live in, you are required to country you live in, you are required to watch that. watch that. watch that. Yeah, cuz Bill Pullman saved the entire Yeah, cuz Bill Pullman saved the entire Yeah, cuz Bill Pullman saved the entire world. world. world. Yeah, yeah. Yeah, yeah. Yeah, yeah. Yeah, Christmas is Die Hard. Yeah, Christmas is Die Hard. Yeah, Christmas is Die Hard. Yeah. Yeah. Yeah. And 4th of July is Independence Day. And 4th of July is Independence Day. And 4th of July is Independence Day. Independence Day, exactly. You know, Independence Day, exactly. You know, Independence Day, exactly. You know, remember fly your remember fly your remember fly your plane right up into the main weapon of plane right up into the main weapon of plane right up into the main weapon of the aliens and then the aliens and then the aliens and then And and Mark, don't ever say Americans And and Mark, don't ever say Americans And and Mark, don't ever say Americans are basic. All right, it's are basic. All right, it's are basic. All right, it's I haven't said that. I haven't said that. I haven't said that. All right, let's wrap this up guys. So, All right, let's wrap this up guys. So, All right, let's wrap this up guys. So, who wants to take us out? who wants to take us out? who wants to take us out? Rob, come on. Rob, come on. Rob, come on. Okay. Okay. Okay. Thank you so much for joining us here on Thank you so much for joining us here on Thank you so much for joining us here on an IoT Coffee Talk on the 4th of July.

  53. an IoT Coffee Talk on the 4th of July. an IoT Coffee Talk on the 4th of July. Independence Day for the Estados Unidos. Independence Day for the Estados Unidos. Independence Day for the Estados Unidos. And we are so happy that you joined us And we are so happy that you joined us And we are so happy that you joined us and we talked about a lot of interesting and we talked about a lot of interesting and we talked about a lot of interesting stuff. A lot of digital twin talk this stuff. A lot of digital twin talk this stuff. A lot of digital twin talk this time. A lot of DeFi distributed systems time. A lot of DeFi distributed systems time. A lot of DeFi distributed systems and everything moving around and I think and everything moving around and I think and everything moving around and I think that's pretty cool. We also talked about that's pretty cool. We also talked about that's pretty cool. We also talked about the fallacy of a lot of really smart the fallacy of a lot of really smart the fallacy of a lot of really smart tech people with unlimited money all tech people with unlimited money all tech people with unlimited money all failing failing failing at building technology, you know, and it at building technology, you know, and it at building technology, you know, and it just didn't sell cuz remember in the end just didn't sell cuz remember in the end just didn't sell cuz remember in the end the customer has to buy what you're the customer has to buy what you're the customer has to buy what you're building. And if they don't, sorry. So, building. And if they don't, sorry. So, building. And if they don't, sorry. So, anyway, talk to your customers. Listen anyway, talk to your customers. Listen anyway, talk to your customers. Listen to customers. Don't tell them don't act to customers. Don't tell them don't act to customers. Don't tell them don't act like you're smarter than them and talk like you're smarter than them and talk like you're smarter than them and talk down to them. Listen to customers. down to them. Listen to customers. down to them. Listen to customers. They'll tell you what they want. Be They'll tell you what they want. Be They'll tell you what they want. Be customer obsessed, right? Yes, also customer obsessed, right? Yes, also customer obsessed, right? Yes, also elevator kids. We got to pump up those elevator kids. We got to pump up those elevator kids. We got to pump up those kids. We need to help them, you know, kids. We need to help them, you know, kids. We need to help them, you know, they need to learn, right? You know, I they need to learn, right? You know, I they need to learn, right? You know, I know there's some generative AI people know there's some generative AI people know there's some generative AI people says they don't need to learn anymore. says they don't need to learn anymore. says they don't need to learn anymore. They're just going to have everything They're just going to have everything They're just going to have everything automatically happen and they're going automatically happen and they're going automatically happen and they're going to be like Wall-E in a pod. to be like Wall-E in a pod. to be like Wall-E in a pod. Yeah. Yeah. Yeah. I want them to learn. And so, let's I want them to learn. And so, let's I want them to learn. And so, let's elevate our kids. Let's give them some elevate our kids. Let's give them some elevate our kids. Let's give them some laptops and connectivity so that if they laptops and connectivity so that if they laptops and connectivity so that if they if they can't get to a classroom, they if they can't get to a classroom, they if they can't get to a classroom, they can learn online and stuff like that. Um can learn online and stuff like that. Um can learn online and stuff like that. Um so, we are here to help. Go to so, we are here to help. Go to so, we are here to help. Go to elevateourkids.org to donate, buy some elevateourkids.org to donate, buy some elevateourkids.org to donate, buy some merch. That's what we're here for. We're merch. That's what we're here for. We're merch. That's what we're here for. We're here to help the kids. Um here to help the kids. Um here to help the kids. Um I hope everybody has a great day. If any I hope everybody has a great day. If any I hope everybody has a great day. If any of you who live in the United States, of you who live in the United States, of you who live in the United States, go have a barbecue. Go have a hot dog.

  54. go have a barbecue. Go have a hot dog. go have a barbecue. Go have a hot dog. Have a hot dog. Have a hot dog. Have a hot dog. And you know me, I'm all about the hot And you know me, I'm all about the hot And you know me, I'm all about the hot dog, right? dog, right? dog, right? Chili dog. Chili dog. Chili dog. Specifically, chili dog. Specifically, chili dog. Specifically, chili dog. Okay. Okay. Okay. This thing doesn't work. I'm trying to This thing doesn't work. I'm trying to This thing doesn't work. I'm trying to make the fire work. make the fire work. make the fire work. No, you have to do it like this. No, you have to do it like this. No, you have to do it like this. Okay. Okay. Okay. It doesn't work. Anyway, thank you so It doesn't work. Anyway, thank you so It doesn't work. Anyway, thank you so much. We'll see you on the other side. much. We'll see you on the other side. much. We'll see you on the other side. Adios.

Summary

The transcript centers on a humorous, multi-take attempt to record the national anthem, with references to Jimmy Hendrix and the movie "Independence Day." The practical takeaway is that even imperfect, repeated efforts can lead to a memorable and enjoyable outcome, especially during holidays.

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