live from the Computer History Museum in Mountain View California it's the queue covering Devon that create 2018 brought to you by Cisco okay welcome back everyone we're live here in Silicon Valley in Mountain View California it's keeps coverage dev net create here I'm John Firth mykos Lauren Cooney and next is Louie Louis froyo Technical Evangelist an IBM good to see you again thank you for having me Lauren ketchup IBM love to think shirt welcome back thank you thank you it's great here so what's going on for you here I am partnering with Cisco what's let's get what's going on well here are we're here to help you know sort of promote the idea around IOT analytics at the edge right with the idea of demonstrating a lot of the IBM products you know I did a workshop today and you know a lot of hands-on mechanical stuff but also leveraging some of the IOT technology offered by IBM so IBM cloud cloud analytics mainly is what you're doing that's right we've chat in the past going back big day two days Anup days when it was you know fashionable now it's kind of have a that's more data leaks nothing let's do the central part of the conversation ai is obviously Mark Zuckerberg and presenting in front of or testifying in front of the Senate's right it's all around AI in analytics Asli dated the data rules change but year conversation with Cisco is IOT yeah because a lot of the network stuff edge of the network these are paradigms that our network inherently perfect for Cisco that's right IBM does a lot of IOT job do a lot a blockchain work as well yeah this is all serving enterprise so what's the big theme real relevant theme for enterprises when it comes to things like how do I use flop chain or how do I use IOT how do I incorporate that tech into my enterprise well I think the first the first barrier is to just understand the technology and the limitations of that technology so you mentioned blockchain you know I'm out quite a bit in the field talking to people talking to partners IBM partners customers customers and there's this confusion around what's a blockchain is what blockchain is all about and the same with big data back in the day you mentioned you know we met up with some conferences back then I think they need to understand what the technologies do what they serve what purposes they serve so blockchain is fairly new right there's a lot of confusion there was the same with big data back and a very confusing IOT you know when we go out as a Technical Evangelist my team we go out and we talk to people there's an appetite to learn more to understand what this IOT thing is and how can they use it how did how can it help us make more money what are they drilling down on our where or better yet what are you evangelizing in what's what are they receptive to what's what's working for them what are they resonates with the customers or potential customers that you guys talk to first and foremost the fact that you know when we go out we have live sessions and we train we give them hands-on right out of the gate within you know 20 minutes they have a bot checkoff built within an hour we build a blockchain right with it with and they do it they see it they experience it and that excites them and then along the way we also we try to educate them on you know why this is important this is how it can be used you know IOT is you know this confusion around that - you know how can i leverage this but I've also talked to customers where they're doing some cool stuff with the edge and I think that leads to my next question actually was which is what use cases do you see what our customers talking about you know I think if you have people building block chains and things along those lines that's great but what are they going to apply it - yeah so there's a perfect example working with a customer and they they're businesses around drones you know UAVs to go out and look for anomalies on pipelines oil pipelines so they have a great technology a drone you know we can go 100 kilometers an hour they can go 100 kilometers in distance but what they need they really need to be able to look for things that shouldn't be there so computer vision you know machine learning deep learning and so we're working with them now to help them get the technology just right to live on the drone to be able to do image recognition highly with high accuracy in real-time so the machine learning in the IOT working out on the edge so is that Watson machine learning no no because it has to happen no we could do or watching today right the problem is you have to have that long-haul communication with the cloud now this needs to happen on the drone in real time okay so we're working with them to figure out you know how we can achieve that and there's some things coming out of IBM and in their future that'll make that a bit easier great and I think that that's an exciting awesome use case to be able to do computer vision on the fly and you know using these neural networks to make decisions I mean the drone example is real life and it's one of those things where we've seen many presentations and examples one of them I loves kind of I'm a wireless geek but I love the towers and I like to see how those they send your owns up there to look at the equipment and then look for repair so it's all automated it's all perfectly executed in the airspace if you will not name space but it goes in there you know power lines you know drones are being used to clear that's right debris and power line all kinds of use cases I think Accenture once told us there was a use case where on car accidents are scenes where they got to take the road and Thrones come in to a full representation and visual and reduces the that's right it's a time to survey the scene along you know one that's read you think about the wind farms these huge wind farms and they have to do inspections use some of these fields you see they're just 500 you know turbines out there and so you need to get out there and the drones are perfect they can look at the blades and you know because they have the high-speed cameras and those blades return and they can still look for defects and fractures and in predict you know using analytics again out there you know predictive maintenance to say hey you know there's something going on here you help us with the cube join me we did cube drone to go out and cover all of our events for us absolutely I'd love to work interviews I'd love to work with you guys that would be null series now just kidding aside is there a profile that you see with customers that resonates well in terms of why are some people more successful now on the cutting edge thing is they got the foresight they got the budget at IT what what's the perfect configuration what makes the customers or a tune to knocking down these low hanging fruit scenarios so I'm gonna say something that's obvious and I'm sure you see it all the time but it's just the risk risk-averse you know you need to put yourself out there you need to be you know a next-gen thinker and that's how we you know within my team when we think about going out and finding these next-gen partners you know born in the cloud you know they're thinking they're thinking beyond what's the from you so the people that are doing these this cool work there either you know a really hardcore tech you know like the drone example or these young entrepreneurs who really don't have much to lose and they have these great ideas you know certainly around blockchain I've heard some some cool ideas around blockchain what people want to do with it and so they you know they're small they're agile they have a vision and they'll take the chance you know the theme here that's interesting and Laura and I were talking about earlier is that the co-creation model is really where the ideas are going to come from so the old model was you pixton technology selection and you put it to work and you that should appreciate or amortize it over whatever period financially to pay back period all that nonsense now to a world where all the ideas are coming from the teams themselves yeah so the the suppliers the vendors don't pitch here's our IOT solution place our IOT fabric is invest Indies are the new approaches the new posture for vendors where these developers who are creating all the action yeah it certainly you know you see that look yeah yeah yeah that's how just you know the workshop we did here today you know if someone wants to kick the tires and wants to learn you know you're not gonna go to proprietary vendor equipments like the big data back in the day you know everyone started with the dupe that was the center of it right open so yeah and it's the same here so there's a lot of Technology open source free technology for people to go out and do prototypes and figure out what they need to do and that's what we're seeing people you know certainly when we go out and do our live events with IBM hands on immediately you know you're doing IOT solutions right so you can take it away and you can go back and then now you can apply it and build on it so you know it's going back to just education and people understanding what these technologies are how to use them and and how to get started you know the proverbial HelloWorld program is there a big event coming up for IBM you got you're gonna be going towards or what's your schedule look like you're on the road a lot what are the big things you got going on well we just had think out in Vegas are you guys were there I was there and we had IBM index not too long before that so that's sort of like the developer event like this for us on a team Aman we have schedules throughout the year to go through various cities there are 15 of us all around the country you know hosting meetups and you know initiating meetups getting partner events co-hosting with developers or cxos or oh so we we target the development team and we target the you know the decision maker around making purchases right so they need to be a part of that story you know we can easily win over the developers with our technology the hard part is winning over the people that signed the check so yeah it's exciting buddy thanks for stopping by great to see you yeah thank you very much your job analytics the heart of the IOT Louis froley Oh Technical Evangelist at IBM you know in the days where all the action is obviously the date as the center you got AI blockchain that's IBM's vision love does love the new love the new messaging from IBM right money we have two definite create here in Silicon Valley more live coverage after this short break

>> Announcer: Live from the Computer History Museum, in Mountain View, California. It's theCUBE! Covering: DevNet Create 2018. Brought to you by Cisco. >> Okay, welcome back everyone. We're live here in Silicon Valley, in Mountain View, California. It's theCUBE's coverage, DevNet Create, here I'm John Furrier with my hosts Lauren Cooney, and next is Louis Frolio, technical evangelist at IBM. Good to see you again. >> Thank you for having me. Lauren, hello. >> Good to catch up. IBM, love the Think shirt. Welcome back. >> Thank you, it's great to be here. >> Alright, so what's going on for you here, I heard IBM is partnering with Cisco? What's going on? >> Well, we're here to help promote the idea around IoT, analytics at the edge, right? With the idea of demonstrating a lot of the IBM products. I did a workshop today and you know, a lot of hands-on mechanical stuff, but also leveraging some of the IoT technology offered by IBM. >> John: If IBM Cloud Analytics is mainly what you're doing, >> That's right. >> We've had a chat in the past going back to big data days, and CUBE days when it was fashionable now to kind of have more data links, not necessarily the central part of the conversation, AI is on it, obviously Mark Zuckerberg's presenting in front of, or testifying in front of the Senate. >> Louis: That's right. >> It's all around AI and analytics, you also see the day the data rolls change, but here, conversation with Cisco is IOT, because a lot of the network stuff, edge of the network, these are paradigms that are network-inherently perfect for Cisco, for the edge. IBM does a lot of IOT jobs, do a lot of blockchain work as well. You know, this is all serving enterprises. So, what is the big theme, real relevant theme for enterprises when it comes to things like How do I use blockchains? or How do I use IoT? How do I incorporate that tech into my enterprise? >> Well I think the first barrier is to just understand the technology and the limitations of that technology. So you mention blockchain, I'm quite a bit in the field talking to people, talking to partners, IBM partners, customers, potential customers, and there's this confusion around what say, blockchain is. What blockchain is all about. And the same with big data back in the day. You mentioned we met up at some conferences back then. I think they need to understand what the technologies do, what they serve. The purposes they serve. So blockchain is fairly new, right? There's a lot of confusion. It was the same with big data back then, very confusing. IoT, you know, when we go out as a technical evangelist, my team, we go out and we talk to people. There's an appetite to learn more about and understand what this IoT thing is, and how can they use it. How can it help us make more money? >> What are they drilling down on, or better yet, what do you evangelize in? What are they receptive to? What's working for them, what resonates with the customers, or potential customers that you guys talk to? >> First and foremost, the fact that when we go out, when we have live sessions, and we train, we give them hands-on right out of the gate. Within 20 minutes, they have a bot, chat bot built. Within an hour, we build a blockchain. They do it, they see it, and they experience it. And that excites them. And along the way, we try to educate them on why this is important, and this is how it can be used. IoT is you know, there's confusion around that too. How can I leverage this, but I've also talked to customers where they're doing some cool stuff with the Edge. >> And I think that leads my next question, actually. Which is, what use cases do you see? What are customers talking about? You know, I think if you have people building blockchains, and things along those lines, that's great. But what are they going to apply it to? >> So there's a perfect example, working with a customer. And their business is around drones, on UAV's, to go out and look for anomalies on pipelines, oil pipelines. So they have a great technology, a drone, it can go 100 kilometers an hour. It can go 100 kilometers in distance. But what they need, they really need to be able to look for things that shouldn't be there. So, computer vision. Machine learning, deep learning. And so we're working with them now to help them get the technology just right to live on the drone, to be able to do image recognition with high accuracy, in real time. So the machine learning, and the IoT working out on the Edge. >> Lauren: So is that Watson-machine learning >> No, no. Because it has to happen. We can do a Watson today, right. The problem is, you have to have that long-haul communication with the Cloud. No, this needs to happen on the drone in real-time. So we're working with them to figure out how we can achieve that. And there's some things coming out of IBM in the near future that'll make that a bit easier. >> Lauren: Great. >> And I think that's an exciting, awesome use case, to be able to do computer vision on the fly, and you know, using these neural networks to make decisions. >> John: I mean the droning example is real life, and it's one of those things where you see many presentations and examples. One of them, I love, I'm a wireless geek, but I love the towers and to see how they send drones up to look at the equipment, and look for repair. So it's all automated, it's all perfectly executed in the air space, if you will. But because in there, power lines, drones are being used to clear debris in power lines. All kinds of use cases, I think Accenture once told us there was a use case where on car accidents, or scenes where they got to fix the road, the drones come in and do a full representation of a visual, and reduces the time to survey the scene. >> Louis: Along that thread, you think about the wind farms. These huge wind farms, and they have to do inspections. Some of these fields you see have 500 turbines out there. And so you need to get out there, and the drones are perfect for that. They can look at the blades, 'cause they have the high-speed cameras, and those blades are turning, they could still look for defects and fractures, and predict using analytics again out there. Predictive maintenance to say hey, there's something going on here. >> John: Well, can you help us with theCUBE drone? We need a CUBE drone to go out and cover all of our events for us. (John laughs) >> Louis: Yeah, absolutely. I'd love to work with you guys. >> John: So, in all seriousness now, just kidding aside, is there a profile that you see with customers that resonates well? In terms of, why are some people more successful now on the cutting edge, is it because they got the foresight, they got the budget? Is it IT? What's the perfect configuration? What makes the customers more attuned to knocking down these low-hanging fruit scenarios? >> Louis: So, I'm going to say something that's obvious. And I'm sure you see it all the time, but it's just risk-averse, you know. You need to put yourself out there, you need to be a next-gen thinker. And that's how within my team, we think about going out and finding these next-gen partners. Born in the cloud, they're thinking, they're thinking beyond what's in front of you. So, the people that are doing this cool work, they're really hardcore tech, like the drone example, or these young entrepreneurs who really don't have much to lose, and they have these great ideas, certainly around blockchain. I've heard some cool ideas around blockchain, and what people want to do with it. And so, they're smart, they're agile, they have a vision. And they'll take the chance. >> John: The theme here that's interesting, and Lauren and I were talking about it earlier, is that the code-creation model is really where the ideas are going to come from. So, the old model was you pick some technology selection, and you put it to work, and you depreciate it or amortize it over whatever period financially, the pay-back period, all that nonsense. Now to a world where all the ideas are coming from the teams themselves. So the suppliers, the vendors don't pitch here's our IoT solution! Here's our IoT fabric, that's the new approaches, the new posture for vendors, where it's these developers who are creating all of the action. >> Louis: Yeah, it's certainly-- >> John: You see that? >> Louis: Yeah, that's how the workshop we did here today, if someone wants to kick the tires and wants to learn, you're not going to go to proprietary vendor equipment. It's like big data back in the day. Everyone started the duke, that was the center of it, right, open source. And it's the same here, so there's a lot of technology, open source, free technology for people to go out and do prototypes, and figure out what they need to do. And that's what we're seeing, certainly when we go and do our live events with IBM, hands-on immediately. You're doing IoT solutions, so you can take it away and you can go back, and now you can apply it and build on it. So it's going back to just education, and people understanding what these technologies are, how to use them, and how to get started. You know, the proverbial Hello World program. >> John: Is there a big event coming up for IBM? You're going to be on tours, or what's your schedule look like? Are you on the road a lot? What are the big things you got going on? >> Louis: Well, we just had Think out in Vegas. You guys were there. >> Lauren: I was there, yup. >> Louis: You were there, it was awesome. >> Lauren: We were all there! >> Louis: And we had the IBM index not too long before that, so that's sort of like the developer event like this. For us, on the team I'm on, we have schedules throughout the year to go through various cities, there are 15 of us all around the country. You know, hosting meet-ups and initiating meet-ups. Getting partner events, co-hosting with partners. >> John: Developers or CxO's, or? >> Louis: So we target the development team, and we target the decision-maker around making purchases, right? So they need to be a part of that story, we easily win over the developers with our technology. The hard part is winning over the people that sign the check, so yeah. It's exciting. >> John: Well hey, thanks for stopping by, great to see you. >> Lauren: Thank you! >> Louis: Thank you very much! >> John: Good job, analytics is the heart of the IoT. Louis Frolio, Technical Evangelist at IBM. The data's where all the action is, obviously the data's the center. You've got AI, blockchain, that's IBM's vision. Love the new message from IBM. Right on the money. We're at DevNet Create, here in Silicon Valley. More live coverage, after this short break. (upbeat music)