>> Hey welcome back everybody, Jeff Frick here, with theCUBE. We're at the Accenture Technology Vision 2018, it's actually the preview event, a couple of days before the report comes out. We came last year, it's really Accenture querying all their customers and partners, as to what are the hot topics for 2018? We're excited to have a return, from Accenture Labs, he's Marc Carrel-Billiard, the Global Lead for Accenture Labs. Last we saw you at the 30th anniversary. So, Marc, great to see you. >> Great to see you too, very happy to be here. >> Absolutely, and we saw you a year ago at this event as well. So, as you look at this Vision compared to last year's Vision, what really jumps out at you as being so different? >> I think what really jumps is just the fact that what we say here is that, you remember last year, it was all about technology for people, technology by people. What we see is that we move forward into, not just technology for people, by people, but how technology basically is shaping the society. And what people, basically I mean, like technology is changing their life, the way they work and everything. What we say to all this technology is that they're going to be a major impact in the society itself, and then companies need to work with people, need to work with society basically to change, basically, the new models. What we say also is that, something which is very important is that there's a transparency that needs to be brought out by this technology. I mean, it's like if you look at companies and everything they will have to build a social contract with these people. Bring in the technology. It's a two-way street now. >> Right, right. >> Like, you build a lot of technology, and people adopt this technology, and then need to bring back feedback. So what are you going to do about it? And it's not going to be about selling products, selling services, but building partnership. Partnership with the people, partnership to the society that you're going to build around them. That's very important. >> But it's kind of weird, because it's kind of bifurcated. On one hand, there's a personal level of connection that you've never had before. On the other hand, we're trying to automate, with software and data, as many processes as we can, which we've seen in Martek, probably on the cutting edge of that. And that sometimes can cause issues. So we're kind of bifurcating. Automate as much as you can, on the other hand, there's a personal touch and trust and a relationship that I never had before. >> I love this discussion, because I'll tell you this, I completely agree. But I think that people need to recognize that artificial intelligence, we've made tons of progress there. And you remember, we had so many winters along the way and everything. I think there will still be winters for artificial intelligence. Machines can do things very very well. >> Jeff: Right. >> But they still can't do what people can do. You know, for example, common sense learning. It's very difficult to explain to a machine what is common sense learning. You know what is common sense. For example, if I would like to build a robot that comes in your office, and picks, for example, a cup of coffee, and decide whether they want to throw it in the bin or basically reserve it for you, it's very difficult. You need to weigh the cup of coffee. You need to understand if it's warm or not warm. I mean, there's so many things that come to play. A robot would not be able to do that. You can do that, even your kids could do that. >> Pretty interesting. >> I know! >> So there's like five big things, I want to jump into a couple with you. One is, and you guys have twisted kind of common phrases-- >> We did, yeah >> A little bit of Accenture branding, of course, right? So one of them is the Internet of Thinking. So rather than the Internet of Things, which is very popular, and then, of course, we hear about the industrial Internet of Things. You talked about the Internet of Thinking. What do you mean by that? >> Okay, so Internet of Thinking is all about to recognize that every product in the world today will be very intelligent. We talk about artificial intelligence. We're baking the intelligence into systems. They all have matched learning, they all learn about what you're doing. So what we need to do is that, when we're going to build a new environment and everything, we need to understand exactly where all the processing power for this intelligence going to be sitting. Is it going to be, for example, if you have to reinvent the car of the future, where it's going to be driverless. You need to re-think about the cockpit of the future and the experience. There needs to be a lot of matched learning, intelligence, to understand exactly how they want to interact with you. Should sudoers sudo-vise? To recognizing your face when you're frowning, and stuff like that. I mean there's going to be so many things, so there's lot of processing power to put. Where do you put all this processing power? In the chip in the car? >> Right. >> Do you want to split it between the chip in the car and some other chip in the cloud? Where do you put all the data related to what you're going to be doing in this car? You want to look at all these data only in the platform in the car or you want to put a little bit in the cloud so you're going to be able to crunch all the data? You going to be sitting in a seat. American people spend on average, 500 hours per year in the car. Can you imagine what we can do there? Imagine we have sensors in the seats. We're going to be able to collect a lot of data about your wellness your well-being and everything. We want to make you more healthy. What are we going to do with all this data? Are we going to crunch the data basically in the car? Or in the cloud? So, what we want to say is that the Internet of Things is going to evolve to Internet of Thinking because we're going to have to be smarter. Not only to implement smart product in the car or something else, but to decide about our fixture. Where are we going to put all that stuff? Which process are we going to use? CPU, FPGA, GPU, even quantum computing? People need to think about where they're going to put the architecture. What type of flavor of architecture they want to have. All these things need to come into play. >> I know, I know! >> Marc we could go and go and go, unfortunately we're getting the hook, they're going to start their program so maybe we'll get you back after the program. >> Sure. >> Thanks for taking a few minutes, they're going to start the program behind us. I'm Jeff Frick, he's Marc, you're watching theCUBE at the Accenture Technology Vision 2018. We'll be right back after the presentation. >> Alright, sure. >> Thanks Marc. Alright, welcome back everybody! We are still the Accenture Tech Vision 2018 free event, the autonomous band is playing, very loudly. But it's good. So we've got Marc back, Marc Carrel-Billiard, and again he is Accenture Labs' Global Lead and he is also all on top of Extended Reality. >> Extended Reality. >> So Marc, we could talk about OR, VR, AR. >> Optics, olfactives, everything. >> Now it's ER? >> That's right. >> Extended reality. >> Extended reality's VR, I mean it's like, I think it takes every type of sensors or immersion, feeling and everything you can have because it's all about combinatory effect. If I combine the augmented reality with the audio, as well with the smell, as well as with the touch then you feel that something is happening. In fact-- >> How long until you just pass all the sensors and just go right to the wires? That's what I'm waiting for. (laughing) These things are not built to look at googles, right? >> I know, I know, I know. But it's coming. >> It's coming but what's interesting though, you guys put a play on it about distance. >> Marc: That's right. >> You guys are, you're positioning this as really a way to break down distance. >> Absolutely, I mean-- >> Jeff: How does that work? >> Well, we call that the end of distance because I think the feeling that we have is that what you're going to be doing is that, you know what I mean it's always the same stuff that you're looking for talent. You're looking for skill. You're looking for people. You're looking for information. Here. Where it's out there. How how are you going to bridge that? How are you going to reduce the distance? To bring people to you, to bring the skills you need, to build the information you need. Extended reality, virtual reality, that can help you out to do that. I'll give you an example, Komatsu, it's a Japanese company. >> Big tractors and things. >> That's right, big tractors and everything. Sometimes, I mean it's a lot of investment and everything, you want to try them out, you want to test them, but it's snowing, it's pouring, it's raining. You're not going to do it. What are you going to do? Why, you're going to use the vehicle a bit in virtual >> They're all autonomous though, and they all drive themselves around. >> But not now, there's some not there. But eventually you can use that in your office. You're going to be training in your office and when it stops raining, basically you're going to be there and you're going to be able to drive that and you're going to be able to use them. We see that in the oil and gas industry. We are building very complex platforms. It takes 10 years to build them, maybe less. The question is that, do you want to wait for five years, 10 years until the platform is delivered, to start training your people? No. I'm going to bring basically that to them directly. It's not only end of distance, it's end of time. I can reduce the time that this stuff is delivered, virtually, to train the people onboard and when they're going to be there. So they're going to be using virtual reality, to be trained on the platform, and then when they're going to be on the platform, they know how it works. But even more, then you go to augmented reality, When they can do maintenance on equipment by augmenting information, to make them more efficient. >> So what's the killer app going to be? Is it a killer app problem? Is it a hardware problem, right, we're still wearing the clunky goggles. What's the breakthrough? >> So the breakthrough is really new devices because right now, if you look at the market today in AR, VR, we're talking about $14 billion, one-four. The billion dollars-- >> Today? >> Yeah, today. Which is a lot. >> Yeah, it's a real number. >> But most of it is on the devices. Most of it is on gaming devices. You know, the stuff that you find on Xbox, the stuff that you find on the PlayStation, very consumer-driven. The big business is really enterprise business which is how you're going to use these devices in oil and gas industry, in automotive industry, in very toxic environments. Where the device needs to be lightweight, with long battery-life, it needs to be intrinsically safe as well. Safe in the-- >> Jeff: Environment, right. >> The devices are coming, and then by 2020 the estimate is that, that whole business is going to shift from $14 billion to $143, one forty three. >> By 2020? >> Yeah. >> Two years from now? That's right, two-three years, because the devices are there. And then, right now 70% of this business is consumer-driven, and 30% is enterprise. We're going to flip that. 70% is going to be enterprise, and 30% will be consumer. >> In 2020? >> Yes. >> Just right around the corner. >> Right around the corner. I mean, I met with a couple of companies, this company called RealWear, they doing amazing device. It's a device you wear, you can put that on the helmet, very very light. You can drop it from 10 meters, it bounce back. It works. And then basically you have bots with cognition in the very noisy environment, like this one, you can speak, you recognize everything. It can provide you with augmented reality information about what you need to do and everything. That's the typical device that we need. You can use it in toxic environments. It has other certification. I mean it's IPv6 and everything, you can run on it and it doesn't do anything, and that's exactly what we need to develop the new use case, that's going to drive these further. >> Yeah, cause we're still a long way from there but two years is not very long, >> It's not long. >> for the devices. >> I mean, it's acceleration. >> Right, right. Alright Marc, well we're excited. What's your favorite AR-VR-ER application? >> You and I, we go to Venice tomorrow, always virtual reality, and so with the combination of the olfactive, the sound, the sun and everything. You can be sitting there on the terrace, you can hear the Vaporetto passing by, you eat the bread, and I fake your brain with the olfactive stuff, you believe it's a pizza, and you drink the water and it's Chianti. That's what it's going to be. >> See I think the device is going to be when it plugs into your head. Again, avoid all these things and go straight in. And then it begs the question, did you really do it? >> I know, I know. Or not? That's way deep, we don't have time Marc. >> It was great to see you. >> Thanks for stopping by. He's Marc, I'm Jeff, you're watching theCube, Accenture Technology Vision preview party, thanks for watching. (bright music)