 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 co-host, Lauren Cuneo, next is Louis Furlio, technical evangelist at IBM. Good to see you again. Thank you for having me. Great, good to catch up. IBM, love the think shirt. Welcome back. Thank you, thank you. It's great to see you here. So what's going on for you here? Obviously, IBM partnering with Cisco. What's going on? Well here, we're here to help, sort of 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 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 chatted in the past, going back big data days and dupe days when it was fashionable. Now it's kind of, there's more data leaks and not necessarily the central part of the conversation. AI is on, obviously Mark Zuckerberg's and presenting in front of, or testifying in front of the Senate. That's right. It's all around AI and analytics. So obviously the data rules 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 to the edge. IBM does a lot of IoT jobs, do a lot of blockchain work as well. Yeah, this is all serving enterprises. So what's the big theme? Real relevant theme for enterprises when it comes to things like, how do I use blockchain or how do I use IoT? How do I incorporate that tech into my enterprise? I think the first barrier is to just understand the technology and the limitations of that technology. So you mentioned 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's 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 in the day, 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 can it help us make more money? What are they drilling down on, or are they yet? What are you evangelizing and 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, you know, when we go out and 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, chat bot built within an hour, we build a blockchain, right? And they do it, they see it, they experience it. And that excites them. And in a long 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, there's some confusion around that too. 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 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? Yeah, so there's a perfect example, working with a customer and they, their business is 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, 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, 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 and the IoT working out on the edge. So is that Watson machine learning? No, no, because it has to happen. No, we can do it Watson 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. 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. 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 love, I'm a wireless geek but I love the towers and I like to see how those, they send drones up there to look at the equipment and then look for repair. So it's all automated, it's all perfectly executed in the air space, if you will, not name space, but it goes in there, you know, power lines. You know, drones are being used to clear debris and 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 take the road, the drones come in, do a full representation visual and reduces the time to survey the scene. And 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 it, there's 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 and, you know, because they have the high speed cameras and those blades are turning, they can still look for defects and fractures and 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 drawing, we need a cube drone to go out and cover all of our events for us. Yeah, absolutely, I'd love to work with you guys. I'd love to work with you guys, that would be great. So, in all seriousness now, just getting 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 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? So, I'm going to say something that's obvious and I'm sure you see it all the time, but it's just the 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 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 in front of you. So, the people that are doing this cool work, they're either, you know, 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 cool ideas around blockchain, what people want to do with it. And so, 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 pick some technology selection and you put it to work and you depreciate or amortize it over whatever period financially, the payback period, all that nonsense. Now, to a world where all the ideas are coming from the teams themselves. Yeah. So, the suppliers, the vendors don't pitch. Here's our IOT solution. Here's our IOT fabric, and these are the new approaches, the new posture for vendors, where it's the developers who are creating all the action. Yeah, it's certainly, you know. You see that? Look, yeah, yeah, yeah, that's how, just the workshop we did here today, you know, someone wants to kick the ties and wants to learn. You know, you're not going to go to proprietary vendor equipment. It's like the big data back in the day, you know, everyone started with Hadoop, 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. 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 how to get started, you know? The proverbial hello world program, you know? Is there a big event coming up for IBM you guys are going to be going to? Or is your schedule look like you're on the road a lot? What are the big things you got going on? Oh, well, we just had Think out in Vegas. You guys are there. I was there. Yeah, that was awesome. We're all there. 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 meetups and, you know, initiating meetups, getting partner events, co-hosting with partners. Developers are CXOs or? Oh, so 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 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. Awesome. Well, hey, thanks for stopping by. Great to see you. Thank you. Thank you very much. Good job, analytics is the heart of the IoT. Lewis Frolio, technical evangelist at IBM. You know, in the data's role, the action is obviously the data's the center. You've got AI blockchain. That's IBM's vision. Love the new, love the new messaging from IBM. Right on the money. We have DevNet Create here in Silicon Valley. More live coverage after this short break.