(suspenseful music) >> Welcome back everyone, this is the SiliconANGLE news report, news flash, news update. I'm John Furrier, host of theCUBE, SiliconANGLE founder and editor. Got our team in Mobile World Congress, MWC. But here's some news flash: the GSMA debuted API toolkit as AWS and Microsoft roll out their offerings to make the cloud part of the telco world. The GSMA association, which runs this program and is the most important organization in telecommunications, unveiled the GSMA Open Gateway. This is a toolkit designed for creating applications that integrate with multiple carrier networks. The technology debuted at MWC23. This is the largest trade show opened in the telco area. This Open Gateway allows carriers to support APIs created with the technology that'll interoperate with each other. That means interoperability and cloud is coming to the telecommunication carriers. That's your cell phone, that's wireless. This allows developers to move applications from one carrier to another without needing to port their code. This is a huge game-changer. This is big news, and, of course, Microsoft and AWS are pounding stories out there as well. They got 21 carriers worldwide adopted and it's created using an open-source API toolkit called CAMARA. And Amazon and AWS are jumping on the cloud bandwagon with this and driving it hard into telco. And that's the big story, and, of course, more actions happening, theCUBE is onsite for four days in Barcelona for MWC23 and keep the news flowing. Check out SiliconANGLE.com, you'll see all the news there, and, of course, theCUBE.net for the livestream. I'm John Furrier, that's the news brief. (atmospheric music)

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by AWS Global Partner Network. Right. Welcome back to the cubes. Live coverage of AWS reinvent 2020 were virtual this year. We're not in person. We have to do it remote but the Cuba's virtual And I'm John for your host here with Cube Virtual next guest, Sarah Cooper, who is the general manager of the i o T Solutions with a W s. Sarah. Great to see you. Eso you last year in person. In real life, now we're remote. But thanks for coming on. Thank you. >>Thanks, John. Always good to be on the Cube and great to see you again. I don't know how many years it's been from our initial meeting, but it's been a few. >>Well, we gotta we gotta cube search engine. You were on in 2016, but we saw each other last year on when we're riffing on the i o t. News. A lot of great stuff. I mean, from Speed Racer all the way down through all the industrial stuff. Even more this year. But two things that jumped out at me this year. War is the carrier keynote and also the BlackBerry kind of automotive thing again speaks to kind of two megatrends. Obviously, automotive will get to a second, but the carrier announcement was really interesting. You guys did this thing and I was so impressed with the cold chain, uh, product. It was the connected cold chain. It was called, Um, this is where the carrier, which is known for air conditioning This is critical I o t devices that stays with the vaccines involved. Take a minute to explain what the cold chain connected cold chain project waas. >>Yeah, absolutely. So. So we worked closely and are working closely with Carrier on on a product called Links Now Cold chain. Um, as Dave Gitlin, the CEO of Carrier, described in Andy's keynote eyes about moving perishable goods, things that need certain temperature ranges from point A to point B and that usually it sounds simple. Uh, that's not quite so simple. It's usually you know, least you know, 5 to 25 hops, sometimes as much as 40. Andi zehr these air partial goods This is food. This is medicines. This is vaccines. Very hot topic at the moment. And today you know you're moving between ships and those big tractor trailers, and you've got warehouses with refrigeration units and you've got retail grocery stores with refrigeration units thes air, all different data sources that are owned by different. You know, members of that supply chain that value chain and to end. And so what links does is it pulls the data from all of the curier equipment and then pulls that data and looks across all of this information, using things like machine learning to draw inference and relationship and then be allows us to be able to make smart recommendations on things like routes. Or, if you know, a particular produce might need to stop before its original event to make sure it's got long shelf life. It allows us basically to provide that transparency and toe end, which is so difficult because of the number of players. And it's in part due to curious breath of products. And then, you know, with AWS, we're bringing the digital technology side. We got the i o t. The M l. A lot of big data processing pieces, eh? So we're really excited about that. I have to say It's one of the easiest projects to hire for when you talk about making sure that we're able to reduce food waste from the current 30 to 40% or that we're working on making sure that vaccines are efficacious by the time that they get a vaccination site, engineers sign up pretty quickly. >>You know the cliche. You know, mission driven companies. They're always kind of like people love the work for mission driven companies. In this case, you have a project and group that literally is changing the world. If you think about just the life savings on the on the on the vaccine side, that's obvious. We all can relate to that now with covert on full display. But just in terms of energy consumption, on food, ways to perishables if you get the costs involved to society, hunger around the world. Uh, just >>food is >>just wasted, and there are people starving, right? So when you start looking at this as an instrumentation problem, right, it gets really interesting. So you mentioned supply chain value chain. This is I o t potentially, even Blockchain again. This is a key change. The world area. You guys have a multi year deal with Carrier, So validation. What does that mean? Specifically, you guys gonna provide cloud services? Um, what's that all mean? >>Yeah. So we were bringing our engineering talent as this carrier. This is a code development, so we're actually jointly developing together. They bring a lot of the domain expertise they bring, you know, years and years of experience in refrigeration, Um, and in, you know, track and trace of these products. And we bring engineers who have vast experience at scale in these kinds of inference, challenges and and data management and data quality. And so it's really kind of bringing the best of both worlds. And you see this happening more and more. I think in general, where you've got a company like AWS that has strong digital expertise and a history of product innovation, working with customers that are very innovative themselves, but typically have been innovative in in, you know, traditional hardware products and the two worlds coming together to make sure that we can really solve some of the big challenges that are facing our society today. And, um, again, you know, it's great to wake up in the morning and get to work on a project that has that kind of impact. >>Well, before we move on to the whole BlackBerry automotive thing, which is another whole fascinating thing share something that people might not know about this carrier project. That's important. Um, whether it's something anecdotal, something that you know, Um, that's important. What, what what's what's What else is there that's game changing that you think is important to point out? >>Yeah, you know, I don't know that when we first started working with Carrier on on scoping this project that I had really thought through all the different players that are touched by cold chain. Um, certainly we've got a number of them within Amazon with our our fulfillment technologies and our grocery stores. That that's logical. Um, you think about the shippers and people who are out, you know, um, farming. And you know, I mean, crabmeat is something that moves in these big refrigerated containers, but actually there's there are transportation companies. There's drivers of these big rigs that need to make sure that they're being that they have fuel consumption management. You've got customers, you know, really kind of throughout that piece, freight forwarders. And so really the breath of the people that are touched, not just you and I is consumers of of perishable goods and fruits and produce on DNA medicines, but also really, that full end to end ecosystem on that's That's both the exciting part from A from a business standpoint, but also the exciting part from the technology stand. >>Well, it's great work, and I applaud you for it's one of those things where foodways isn't just a supply chain impacts the rest of the world because you're more efficient. You could distribute food, toe other places where people are hungry and just its overall impact is huge trickle effect. So impact is huge. Okay, now let's talk about the automotive peace. Because last year we had on the Cube folks from BlackBerry and remember them came on like BlackBerry. Isn't that the phone that went extinct by the iPhone? No, no. There's a whole nother io ti automotive thing around. Ivy Ivy? Why intelligent vehicle data platform? You guys just announced a multiyear agreement with them to develop that product combined with some of the I O. T and machine learning. Could you take him in to explain what this relationship is. What does it mean? What does it mean for the industry? >>Yeah, it's It's similar to the carrier relationship. You know we are. We're engineering together. Um, in this instance Q and X, which is a division of BlackBerry, is in 175 million vehicles. I mean, just think about that. They're running under the covers, and they are. They are a safety security layer and a real time operating system. So you know, when you think about all of the products, really end end in Q and X isn't just in automotives. It's in nuclear power plants. It's in manufacturing automation. It's one of those products that that you probably benefit from, but you didn't know it. Um, and in the automotive space, it's the piece that manages the safety certified layers of data coming off of sensors in the car. And so, fundamentally, what we're doing with Ivy is we're up leveling that information today. If you think about a car, you've got 1500 suppliers that are all providing parts into that far, which means that different makes and models have different seats. Sensors to give you wait in the back, you know, seat as an example. And so if do you want to write an application that tries to determine if that weight in the back seat is your dog or not, my dog happens to be bothering me at the moment. Z. >>That's one of the benefits of working at home. You know? >>Absolutely. So we'll use him as an excuse here. But if you want to know if that's a dog on the back seat, um, being able Thio, then figure out the PC electric measurements and the algorithms, um means you have to know what sensors air in that back seat, which means you got to write essentially an application Pir sensor manufacturer for vehicle make and model That doesn't work so fundamentally What Ivy does, is it? It abstracts away the differences between the vendors and then it up levels information by using machine learning and analytics running in the car. To be able to allow a developer to say, you know, a P I. Is there a dog in the car like How simple is that? I don't have to figure out what the weight measurement is. I don't know. I have to know if there's cameras in the car or if there's some other way to know. If the dog I just need to ask, Is there dog in the car? And the A P. I, for my view, will tell you yes, No, or I don't know, you know, because sometimes there isn't the technology to know that. And then the application developer can then use that information to build delightful experiences, things that make your dog behave, hopefully, things that might help protect them on a hot day. Um, you know, in things where you know that if there's a child in the car, you don't play explicit lyrics. If they're fighting in the back seat, you make sure that the cartoons go off until they behave themselves and cartoons come back on. There are lots of in vehicle experiences that can be enabled by this as well as vehicle operations. So, you know, being able to do >>yeah and all that stuff. >>Yeah, Selective recalls making sure that Onley cars that are actually affected need to come in and making sure that that you know, that's that's quantified and that, you know, it is actually safe to drive to the point of recall. All of that could be done on a vehicle by vehicle basis. >>So are you competing with car companies now? >>No, fundamentally, the oe EMS are the Are the companies that that the car manufacturers are those that end up delivering this capability and they own the data. You know, this isn't something where BlackBerry or A W S owns the data the auto manufacturers dio so it's there platforms to make a delightful experience out of, um, we're just helping to make sure that that's as easy as possible and opening up. You know, the potential innovation so that it's, you know, it's certainly their developers internally. But if they want take advantage of the millions of AWS developers now, they could do that. >>Sarah, Great to have you on one of the things. I just want a final questions or final point. Let's get your reaction to Is that it seems to me with the cloud in this post covert scale error when you start to get into edge, um, you know, industrial I o t. You hear things like instrumentation supply chain, these air buzzwords, these air kind of characteristics all kind of in play. But the other observation is partnerships, arm or co engineering. Co development vibe. Is that just unique? Thio what you're doing? Or do you see this as kind of as a template for partnering? Because when you start to get these abstraction layers, the heavy lifting can be under the covers. You have this enablement model. What's your quick take on this? >>Yeah, I think we talk about undifferentiated heavy lifting, a lot of Amazon on defunding mentally. That's different for each industry. And he talked about that. His keynote. And so I think you know you'll see more and more co development and co engineering coming from from companies across when we have big technical challenges and these air complex problems to solve it takes a village >>awesome. Sarah Cooper Thanks for coming on GM of Iot. TIF Solutions A. The best to great success stories. The carrier and Blackberry, one Automotive with Black Braids operating system that powers the safety and for cars and, hopefully, future of application, development and carrier, with the cold connected chain delivering perishable goods, vaccines and food. Changing the game. That's a game changer. Thanks for coming on. >>Thanks, John appreciate. Always good to see you. >>Okay. Cube coverage. Jump shot for your host. Stay with us from or coverage throughout the day and all next couple weeks. Thanks for watching. Yeah. Mhm.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah. >>Welcome back here in the Cube. Our continued coverage of aws reinvent 2020 all virtual coming Thio with help. Obviously have some great technology here. Joined by Luca Bertelli right now who is the director of connected platform solutions at Carrier and Luca. Thanks for joining us here on the Cube. We appreciate the time. >>Hey, John. Great. Thanks for having me. >>Yeah, I'm just curious. I know the mantra carrier is dared to disrupt. And that Z certainly very aspirational. A lot of respects, and I would think so in your world. Uh, I o t artificial intelligence machine learning. That's very much resonating with your team. I would think Give me your take of dare to disrupt. And what does that mean in terms of how you go about your business and how you encourage your >>teams? Absolutely. That's a great place to start. I mean, we're where we're really thinking about, like, a startup right now, internally. I mean, we have so much need right now for our ability to be able to do more with data. Our customers are looking for it. The industry is looking for it. And, you know, we're traditionally thought of Maura about us and equipment manufacturing company. We make refrigerated containers, refrigerated trailers, and, uh, now we're really thinking about it. How do we work with our customers in order to be able to do more than just being equipment provider or a cargo monitoring solution? So we're really thinking about it internally with ourselves is as customers use the equipment as we can help them collect all the state about it. How do we think differently about how we can help them solve bigger problems in their business? So today, you know, we traditionally think about equipment moving product from from one place to another. We support our customers. We sell them refrigerated equipment to be able to do that. And, you know, now we're really trying to change the conversation from Okay, Well, how did your equipment perform to? What changes could you be making in some of your operations and how you're using your equipment? Thio even avoid problems coming up with him. And it seems like a pretty simple jump to move from this reactive world to a predictive world, but a supply chains pretty complex. There's a lot of players in the ecosystem. There's a lot of data. There's a lot of business problems that people are looking to solve. And so we're really looking at disrupting how how we do this with our customers. >>You know, you talk about refrigeration on that's transporting food, drink medicines, which we'll get into it just a little bit. That's all about cold chain solutions. And and so define that for me, if you would, you know, we talk about Cold Chain, what exactly you are speaking of. And then let's take it to the next step in terms of what are you applying now to, from a technological standpoint, to enhance your cold chain solution array? >>Now, that's a great question, Thio. I mean, look, I didn't think 2020 would be the year. That cold chain becomes a lot more easier to come up. Yeah, but it certainly has been that kind of a year, I think. And so you know, what is the cold chain? Well, when we move, products all over the world way understand the concept of supply chains, which is you know the movement of goods across the world. And when we look at the cold chain, it's really the supply chamber for temperature sensitive products. So whether we think about it as Berries that have to be kept at certain temperatures and preserved, or even a vaccine like the ones that we're seeing come out on the market now, those have to be kept within certain temperature specifications in order to maintain their efficacious nous or their safety of usage. And so the cold chain is really just that. It's the supply chain for temperature sensitive products and our role. There is really to be able to provide, uh, you know, services and equipment and services for our customers to be able to both create the coaching, um, in the form of refrigerated traders, refrigerated containers or display cabinet on also help the monitor the coaching via cargo monitoring solutions. >>Okay, so I know in that regard you have a code development effort going on right now with AWS that you launched. Probably what, like two months ago or so links l Y N X s. So let's talk about links on DWhite what AWS is bringing to the table for you in terms of these new capabilities and now, in turn, how you're going to put them into practice and what you intend to do with that. >>Yeah. So this is Look, this is an extremely exciting time for us, uh, Thio to be discussing this, especially in light of the fact that, you know, carrier comes at it with just being a leader in cold chain equipment, coaching, monitoring and when we looked around, just look for options. Thio really collaborate with Cloud Leader and analytics and machine learning on I 80 capabilities. We just think that that co development with a W S just is tremendously powerful. I mean, we, you know, a zoo we described earlier Our expertise is Maurin the cold chain side of things. And when you start thinking about all the equipment that's out there, all these shipments that have to be moved globally, um, we just think that there's a lot more that we could do with that data to help our customers do their jobs better. Whether that's helping them a pre emptive problem, understand and quantify the risk around a particular supply chain lane, uh, and really anticipate issues going forward and quite frankly, also for us. There are opportunities for our own operational improvement to be able to leverage a lot of that data and deliver our own services in a more frictionless way to our customers. So, um, when we look at that, we look at, you know, carrier as really a Coltrane expert, AWS as a leading cloud and data analytics provider on When you combine that together, we just think there's a massive opportunity for us to really generate transformational outcomes for our customers. >>So when it comes to the kinds of capabilities that you're now gonna have at your disposal, what you can offer to your customer base, give me give me a kind of, ah general example or illustration of value added here, you know where where's the improvement? Where's the enhancement in terms of the services that you provide based on the links array of of of tools? >>Yeah, absolutely so I mean, even when we look at the cold chain today, I mean, there's was probably about $35 billion worth of failures. That's how much these failures cost in the bio pharma industry. Whether that's pour cold chain control and or other factors. And when you start looking at the what that means, yes, it's a big monetary number. But what that means is that potentially some people did not get their medication on time. Potentially, people go to bed hungry because of the 475 million tons of of food loss right there are. There are significant kind of quantitative, uh, reasons here to do this. But at the end of the day, if somebody goes hunger, somebody doesn't isn't able to get the medication, and that's related to a Coltrane issue that we could have preempted or that we could have helped preempt. That's really what drives us. So when we look at that, we think about examples like our customers that are able to move product. They do a great job moving their product along their supply chains. But are there opportunities where we could say, Look, we're about to detect the problem that that could be coming up and maybe it's not. Maybe it's not catastrophic. Maybe it just means maybe use another refrigerated trailer versus another one. Or perhaps uh, look, there's a certain weather pattern that's starting to form up. You may want to consider rerouting the product in a certain way. These are things that allow us Thio, move, move our own support our own services from a reactive one where customers have had a cold chain issue and then we help them solve about it the next time around. But now we're going to really think about how do we use all this data? All this ai All this machine learning to be able to help customers potentially make decisions on the fly, Maybe reroute a shipment as it's moving or delay sending a shipment out or perhaps using even different types of packaging solutions to help reduce some of their costs. There's just, ah lot of opportunities for us to be ableto help customers take costs out of supply chain while still maintaining that level of safety that they need, uh, in their own Coltrane. >>What's the learning curve on something like that for you? You think because you said you have these, obviously, a lot more inputs? Ah, lot faster eso You're able to process information and analyze that data much more expediently as you ever could, Um, but I assume there's still ramping up to do in terms of understanding how best to apply that knowledge that you have? >>Absolutely. And look a lot of at the end of the day, a lot of it is the technology to be able to enable some of these insights to help move the needle and move us from a reactive to a proactive world. Uh, but at the same time, it's a lot of working very closely with customers to be able to ensure that any of these recommendations or any of the work that goes on toe to recommend a rerouting or something like that actually follows through with their own operating procedures. Right. So, you know, I come from a background of unmanned vehicles. We developed a lot of really fancy algorithms, but what I found a very soon enough is if you don't work closely with the human operators that are able to actually influence that change or take action on that decision, uh, it may not lead to the desired outcome that you had. So what we see in this is that yes, developing the insights is gonna be really important. But it is gonna be fundamental for us to be customer centric and really understand How are decisions and recommendations being made in the cold train today? And how do we best provide added value and an influence? How some of those decisions could be made going forward? >>And excuse me when we're talking about vaccines today. Obviously, Kobe 19 Eyes is the headline now, although flu season is upon us a swell. Are you going to be engaged in some way, shape or form with a cove in 19 vaccine transport? >>You know, we can't talk specifics, but certainly, you know, we we certainly worked very closely with customers that that ship a lot of different pharmaceutical products and where our help is needed. We will certainly will be there to support our customers and in the distribution, uh, >>way, Have a few more minutes. I do wanna transfer to food security because I know you do a lot of work in that space, man, that's that was your your primary space. I read a number that one third of the world's food produced to be consumed by humans is wasted and and that that really struck me. And so that's almost like a mission. I would think for you and for carrier uh, Thio lesson, that number. So tell me a little bit about your work in that space in terms of food security, what you're being is being done. And how again this relationship with the analytics and the i o. T. And all those capabilities are enhancing your work in that space? >>No. Absolutely. Look like you mentioned. I mean, these are missions for us, uh, both on the food side and on the pharmaceutical side. That's really what keeps me up at night is knowing. What else could we be doing differently? Um, and so absolutely. Unfortunately, food loss still continues to be Ah, big issue globally. Um, largely depends on which geography ease We're talking about where that food loss occurs, whether it's more at the consumer side or whether it's more at the ship or Grover side, where there's, you know, in some countries there is not enough of a cold chain developed yet where a lot of the food is wasted in transit in other countries. A lot of the food is just because we just throw it away. And so what we're really laser focused on is a zoo. We start analyzing the movement of goods for our customers, a Z move product throughout the world, our ability to be able to at least move the needle from where better data around the equipment or better data around the cargo monitoring could help either remove the potential loss of a product because maybe it had. The product is about to go and have a temperature excursion where it exceeded a certain temperature and it starts spoiling faster or where we can add refrigeration. Uh, in areas where it's most needed. Our ability. Thio use that data to start recommending, uh, different types of products, different types of packaging solutions, different types of shipment routes we think can really help move the needle for some of those customers and reduce some of the the food lost that that you mentioned and lead to a more nourished population. >>Well, it is a noble work, important work, and it certainly appears carriers well poised to continue that fine work well to the future. So, Luca, good luck with that. We thank you for your time here, and we appreciate your being with us here on the Cube. >>Thanks very much, John. Good to be here.

>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with John Ferrier. You're watching the Cube live at Del Technologies World twenty nineteen. This is our second full day of Double Cube set coverage. We've got a couple of we're gonna really cool conversation coming up for you. We've got Robbie Pender County, one of our alumni on the cue back as VP product management server solutions. Robbie, Welcome back. >> Thank you, Lisa. Much appreciated. >> And you brought some Hollywood? Yes. Glenn Glenn ER, president of Sony Innovation Studios. Glenn and welcome to the Cube. >> Thank you very much. It's great to be here. >> So you are love this intersection of Hollywood and technology. But you're a filmmaker. >> Yeah. I have been filming movies for many years. Uh, I started off making motion pictures for many years. Executive produced him and over so production for them at one of our movie labels called Screen Gems, which is part of Sony Pictures. >> Wait a tremendous amount of evolution of the creative process being really fueled by technology and vice versa. Sony Innovation Studios is not quite one year old. This is a really exciting venture. Tell us about that and and what the the impetus was to start this company. >> You know that the genesis for it was based out of necessity because I looked at a nice Well, you know, I love making movies were doing it for a long time. And the challenge of making good pictures is resource is and you never get enough money believing not you never get enough money and never get enough time. That's everybody's issue, particularly time management. And I thought, Well, you know, we got a pretty good technology company behind us. What if we looked inward towards technology to help us find solutions? And so innovation studios is born out of that idea on what was exciting about it was to know that we had, uh, invited partners to the game right here with Del so that we could make movies and television shows and commercials and even enterprise solutions leaning into state of the art and cutting edge technology. >> And what some of the work prize and you guys envision coming out this mission you mentioned commercials. TV is it going to be like an artist's studio actor? Ackerson Ball is Take us through what this is going to look like. How does it get billed out? >> I lean into my career as a producer. To answer that one and say is going to enable that's one of the greatest things about being a producer is enabling stories, uh, inspiring ideas to be Greenland. That may not have been able to be done so before. And there's a key reason why we can't do that, because one of our key technologies is what we call the volumetric image acquisition. That's a lot of words. You probably say. What the heck is that? But a volumetric image acquisition is our ability to capture a real world, this analog world and digitize it, bring it into our servers using the power of Del and then live in that new environment, which is now a virtual sets. And that virtual set is made out of billions and trillions in quadrillions of points, much like the matter around us. And it's a difference because many people use pixels, which is interpretation of like worry, using points which is representative of the world around us, so it's a whole revolutionary way of looking at it. But what it allows us to do is actually film in it in a thirty K moving volume. >> It's like a monster green screen for the world. Been away >> in a way, your your your your action around it because you have peril X so these cameras could be photographing us. And for all you know, we may not be here. Could be at stage seven at Innovation Studios and not physically here, but you couldn't tell it. If >> this is like cloud computing, we talking check world, you don't the provisional these resource is you just get what you want. This is Hollywood looking at the artistry, enabling faster, more agile storytelling. You don't need to go set up a town and go get the permit. All the all the heavy lifting you're shooting in this new digital realm. >> That's right. Exactly. Now I love going on location on. There's a lot to celebrate about going on location, but we can always get to that location. Think of all the locations that we want to be in that air >> base off limits. Both space, the one I >> haven't been, uh, but but on said I've been I've walked on virtual moons and I've walked on set moons. But what if we did a volumetric image acquisition of someone set off the moon? Now we have that, and then we can walk around it. Or what if there's a great club, a nightclub? This says guys want you shoot here, but we have performances Monday night, Tuesday night, Wednesday night there. You know they have a job. What if we grab that image, acquired it, and then you could be there anytime you want. >> Robbie, we could go for an hour here. This is just a great comic. I >> completely agree with you. >> The Cube. You could. You could sponsor a cube in this new world. We could run the Q twenty four seven. That's absolutely >> right. And we don't even have >> to talk about the relationship with Dale because on Del Technologies, because you're enabling new capabilities. New kind of artistry was just totally cool. Want to get back to the second? But you guys were involved. What's your role? How do you get involved? Tell the story about your >> John. I mean, first and foremost one of things that didn't Glendon mention is he's actually got about fifty movies to his credit. So the guy actually knows this stuff, so which is absolutely fantastic. So we said, How do you go take average to the next level? So what else is better than trying to work something out, wherein we together between what Glenn and Esteem does at the Sony Innovation Labs for Studio Sorry. And as in Dead Technologies could do is to try and actually stretch the boundaries of our technology to a next tent that when he talks about kazillion bytes of data right one followed the harmony of our zeros way have to be able to process the data quickly. We have to be able to go out and do their rendering. We probably have to go out and do whatever is needed to make a high quality movie, and that, I think, in a way, is actually giving us an opportunity to go back and test the boundaries of their technology. They're building, which we believe this is the first of its kind in the media industry. If we can go learn together from this experience, we can actually go ahead and do other things in other industries. To maybe, and we were just talking about how we could also take this. He's got his labs here in Los Angeles, were thinking maybe one of the next things we do based on the learnings we get, we probably could take it to other parts of the world. And if we are successful, we might even take it to other industries. What if we could go do something to help in this field of medicine? >> It's just thinking that, right? Yes. >> Think about it. Lisa, John. I mean, it's phenomenal. I mean, this is something Michael always talks about is how do we as del technologies help in progress in the human kind? And if this is something that we can learn from, I think it's going to be phenomenal. >> I think I think that's so interesting. Not only is that a good angle for Del Technologies, the thing that strikes me is the access toe artist trees, voices, new voices that may be missed in the prop the vetting process the old way. But, you know, you got to know where we're going. No, in the Venture Capital way seen this with democratization of seed labs and incubators, where, if you can create access to the story, tells on the artists we're gonna have one more exposure to people might have missed. But also as things change, like whether it's Ray Ray beaming and streaming, we saw in the gaming side to pull a metric or volumetric things. You're gonna have a better canvas, more paint brushes on the creative side and more. Artist. Is that the mission to get AC, get those artists in there? Is it? Is that part of the core mission submission? Because you're going to be essentially incubating new opportunities really fast. >> It's, uh, it's very important to me. Personally. I know it speaks of the values of both Sony and L. I like to call it the democratization of storytelling. You know, I've been very blessed again, a Hollywood producer, and we maybe curate a certain kind of movie, a certain kind of experience. But there's so many voices around the world that need to be hurt, and there are so many stories that otherwise can't be enabled. Imagine a story that perhaps is a unique >> special voice but requires distance. It requires five disparate locations Perhaps it's in London, Piccadilly Circus and in Times Square. And perhaps it's overto Abu Dhabi on DH Libya somewhere because that's part of the story. We can now collapse geography and bring those locations to a central place and allow a story to be told that may not otherwise have been able to be created. And that's vital to the fabric of storytelling worldwide's >> going change the creative process to you don't have to have that waterfall kind of mentality like we don't talk about intact. You're totally distributed content, decentralized, potentially the creative process going change with all the tools and also the visual tools. >> That's right. It's >> almost becoming unlimited. >> You wanted to be unlimited. You want the human spirit to be unlimited. You want to be able to elevate people on. That's the great thing about what we're trying to achieve and will achieve. >> It is your right. I mean, it is interesting, you know, we were just talking about this, too. Uh, we're in, you know, as an example. Shock tank. Yes, right. I mean, they obviously did it. The filming and stuff, and then they don't have the access. Let's say to the right studio. But the fact is, they had all this done. Andi, you know, they had all the rendering they had captured. Already done. You could now go out and do your chute without having all the space you needed. >> That's right. In the case of Shark Tank, which shoots a Sony Pictures studios, they knew they had a real estate issue. The fact of the matter is, there's a limited amount of sound stages around the world. They needed to sound stages and only had access to one. So we went in and we did a volumetric image acquisition of their exit interview stage. They're set. And then when it came time to shoot the second half a season ten, one hundred contestants went into a virtual set and were filmed in that set. And the funny thing is, one of the guys in the truck you know how you have the camera trucks and, you know, off offstage, he leaned into the mike. Is that you guys, could you move that plant a couple inches to the left and somebody said, Uh, I don't think we can do it right now, he said, We're on a movie lot. You could move a plant. They said No, it's physically not there. We're on innovation studios goes Oh, that's right. It's virtual mind. >> So he was fooled. >> He was pulled. In a way, we're >> being hashing it out within a team. When we heard about some of the things you know Glenn and Team are doing is think about this. If you have to teach people when we are running short of doctors, right? Yeah, if you could. With this technology and the learnings that come from here, if you could go have an expert surgeon do surgery once you're captured, it would be nice. Just imagine, to take that learning, go to the new surgeons of the future and trained them and so they can get into the act without actually doing it. So my point and all this is this is where I think we can take technology, that next level where we can not only learn from one specific industry, but we could potentially put it to human good in terms of what we could to and not only preparing the next of doctors, but also take it to the next level. >> This was a great theme to Michael Dell put out there about these new kinds of use case is that the time is now to do before. Maybe you could get there technology, but maybe aspirational. Hey, let's do it. I could see that, Glenn, I want to ask you specifically. The time is now. This is all kind of coming together. Timing's pretty good. It's only gonna get better. It's gonna be good Tech, Tech mojo Coming for the creative side. Where were we before? Because I can almost imagine this is not a new vision for you. Probably seen it now that this house here now what was it like before for, um and compare contrast where you were a few years ago, maybe decades. Now what's different? Why? Why is this so important >> for me? There's a fundamental change in how we can create content and how we can tell stories. It used to be the two most expensive words in the movie TV industry were what if today that the most important words to me or what if Because what if we could collapse geography? What if we could empower a new story? Technology is at a place where, if we can dream it. Chances are we can make it a reality. We're changing the dynamics of how we may content. He used to be lights, action camera. I think it's now lights, action, compute power action, you know, is that kind of difference. >> That is an amazing vision. I think society now has opportunities to kind of take that from distance learning to distance connections, the distance sharing experiences, whether it's immersion, virtual analog face, the face could really be powerful. Yeah, >> and this is not even a year old. >> That's right. >> So if you look at your your launch, you said, I think let june fourth twenty eighteen. What? Where do you go from here? I mean, like we said, this is like, unlimited possibilities. But besides putting Robbie in the movie, naturally, Yes, of course I have >> a star here >> who? E. >> So I got to say he's got star power. >> What's what's next year? Exactly? >> Very exciting. I will say we have shark tank Thie Advanced Imaging Society gives an award for being the first volume met you set ever put out on the airwaves. Uh, for that television show is a great honor. We have already captured uh, men in black. We captured a fifty thousand square foot stage that had the men in black headquarters has been used for commercials to market the film that comes out this June. We have captured sets where television shows >> and in hopes, that they got a second season and one television show called up and said, Guys, we got the second season so they don't have to go back to what was a very expensive set and a beautiful set >> way captured that set. It reminds me of a story of productions and a friend of mine said, which is every year. The greatest gift I have is building a beautiful set and and to me, the biggest challenges. When I say, remember that sent you built four years ago? I need that again. Now you can go >> toe. It's hard to replicate the exact set. You capture it digitally. It lives. >> That's exactly it. >> And this is amazing. I mean, I'd love to do a cube set into do ah, like a simulcast. Virtually. >> So. This is the next thing John and Lisa. You guys could be sitting anywhere going forward >> way. You don't have to be really sitting here >> you could be doing. What do you have to do? And, you know, you got everything rendered >> captured. We don't have to come to Vegas twenty times a year. >> We billed upset once. You >> know you want to see you here believing that So I'LL take that >> visual is a really beautiful thing. So if we can with hologram just seeing people doing conscious with Hollywood. Frank Zappa just did a concert hologram concert, but bringing real people and from communities around the world where the localization diversity right into a content mixture is just so powerful. >> Actually, you said something very interesting, John, which is one of the other teams to which is, if you have a globally connected society and he wanted try and personalize it to that particular nation ethnicity group. You can do that easily now because you can probably pop in actors from the local area with the same. Yeah, think about it. >> It's surely right. >> There's a cascade of transformations that that this is going Teo to generate. I mean just thinking of how different even acting schools and drama schools will be well, teaching people how to behave in these virtual environments, right? >> How to immerse themselves in these environments. And we have tricks up our sleeves that Khun put the actor in that moment through projection mapping and the other techniques that allow filmmakers and actors to actually understand the world. They're about to stepped in rather than a green screen and saying, OK, there's going to be a creature over here is gonna be blue Water falls over there will actually be able to see that environment because that environment will exist before they step on the stage. >> Well, great job the Del Partnership. On my final question, Glenn, free since you're awesome and got a great vision so smart, experienced, I've been really thinking a lot about how visualization and artistry are coming together and how disciplines silo disciplines like music. They do great music, but they're not translating to the graphics. It was just some about Ray tracing and the impact with GP use for an immersive experiences, which we're seeing on the client side of the house. It del So you got the back and stuff you metrics. And so, as artist trees, the next generation come up. This is now a link between the visual that audio the storytelling. It's not a siloed. >> It is not >> your I want to get your vision on. How do you see this playing out and your advice for young artists? That might be, you know, looked as country. What do you know? That's not how we do it. >> Well, the beautiful thing is that there are new ways to tell stories. You know, Hollywood has evolved over the last century. If you look at the studios and still exist, they have all evolved, and that's why they do exist. Great storytellers evolved. We tell stories differently, so long as we can emotionally relate to the story that's being told. I say, Do it in your own voice. The cinematic power is among us. We're blessed that when we look back, we have that shared experience, whether it's animate from Japan or traditional animation from Walt Disney everybody, she shares a similar history. Now it's opportunity to author our new stories, and we can do that and physical assets and volumetric assets and weaken blend the real and the unreal. With the compute power. The world is our oyster. >> Wow, >> What a nice >> trap right there. >> Exactly. That isn't my job. The transformation of of Hollywood. What it's really like the tip of the iceberg. Unlimited story potential. Thank you, Glenn. Thank you. This has been a fascinating cannot wait to hear, See and feel and touch What's next for Sony Animation studios With your technology power, we appreciate your time. >> Thank you. Thank you both. Which of >> our pleasure for John Carrier? I'm Lisa Martin. You're watching the Cube lie from Del Technologies World twenty nineteen We've just wrapped up Day two we'LL see you tomorrow.

>> From the Palace of Fine Arts in San Francisco, it's theCUBE, covering AT&T Spark. Now here's Jeff Frick. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're at San Francisco, at the historic Palace of Fine Arts, it's a beautiful spot, it's redone, they moved Exploratorium out a couple years ago, so now it's in a really nice event space, and we're here for the AT&T Spark Event, and the conversation's all around 5G. But we're excited to have our first guest, and he's working on something that's a little bit tangential to 5G-related, but not absolutely connected, but really important work, it's Chris Sambar, he is the SVP of FirstNet at AT&T, Chris, great to see you. >> Thanks Jeff, great to be here, I appreciate it. >> Yeah, so you had a nice Keynote Presentation, talking about FirstNet. So for people I've missed, that aren't familiar, what is AT&T FirstNet? >> Sure, I'll give a quick background. As I was mentioning up there, tomorrow is the 17-year Anniversary of 9/11. So 17 years ago tomorrow, a big problem in New York City. Lots of first responders descended on the area. All of them were trying to communicate with each other, they were trying to use their radios, which they're you know, typically what you see a first responder using, the wireless networks in the area. Unfortunately challenges, it wasn't working. They were having trouble communicating with each other, their existing wireless networks were getting congested, and so the 9/11 Commission came out with a report years later, and they said we need a dedicated communications network, just for First Responders. So they spun all this up and they said, we're going to dedicate some Spectrum, 20 megahertz of D-Class Spectrum, which is really prime Spectrum. Seven billion dollars and we're going to set up this Federal entity, called the FirstNet Authority, and they're going to create a Public Safety Network across America. So FirstNet Authority spent a few years figuring out how to do it, and they landed on what we have today, which was a Public/Private Partnership, between AT&T, and Public Safety throughout America, and we're building them a terrific network across the country. It is literally a separate network so when I, I think of wireless in America, I think of four main commercial carriers, AT&T, Verizon, T-Mobile, Sprint. This is the 5th carrier, this is Public Safety's Wireless Network just for them. >> So when you say an extra network, so it's a completely separate, obviously you're leveraging infrastructure, like towers and power and those types of things. But it's a completely separate network, than the existing four that you mentioned. >> Yeah, so if you walk into our data centers throughout the country, you're going to see separate hardware, physical infrastructure that is just for FirstNet, that's the core network just for this network. On the RAN, the Radio Access Network, we've got antennas that have Band 14 on them, that's Public Safety's Band, dedicated just for them when they need it. So yeah, it's literally a physically separate network. The SIM card that goes into a FirstNet device, is a different SIM card than our commercial users would use, because it's separate. >> So one of the really interesting things about 5G, and kind of the evolution of wireless is, is taking some of the load that has been taken by like WiFi, and other options for fast, always on connectivity. I would assume radio, and I don't know that much about radio frequencies that have been around forever with communications in, in First Responders. Is the vision that the 5G will eventually take over that type of communication as well? >> Yeah, absolutely. If you look at the evolution of First Responder, and Public Safety Communications, for many years now they've used radios. Relatively small, narrow Spectrum bands for Narrow Band Voice, right, just voice communications. It really doesn't do data, maybe a little bit, but really not much. Now they're going to expand to this Spectrum, the D-Class, the D-Block Spectrum, excuse me, which is 700 megahertz, it's a low-band Spectrum, that'll provide them with Dedicated Spectrum, and then the next step, as you say, is 5G, so take the load off as Public Safety comes into the, the new Public Safety Communications space, that they've really been wanting for years and years, they'll start to utilize 5G as well on our network. >> So where are you on the development of FirstNet, where are you on the rollout, what's the sequence of events? >> The first thing we did, the award was last year in March 2017. The first thing we did was we built out the core network. When I talked about all that physical infrastructure, that basically took a year to build out, and it was pretty extensive, and about a half a billion dollars so, that was the first thing we did, that completed earlier this year. >> Was that nationwide or major metro cities or how-- >> Nationwide, everywhere in the country. >> Nationwide, okay. >> So now what we're doing is, we are putting the Spectrum that we were given, or I should say we were leased for 25 years, we're putting that Spectrum up across our towers all over the country so, that will take five years, it's a five-year build-out, tens of thousands of towers across America, will get this Public Safety Spectrum, for Public Safety, and for their use. >> Right. Will you target by GEO, by Metro area, I mean, how's it going to actually happen? That's a huge global rollout, five years is a long time. How you kind of prioritize, how are you really going to market with this? >> The Band 14 Spectrum is being rolled out in the major, the major dense areas across the country. I will tell you that by the end of the rollout, five years from now, 99% of the population of America, will have Band 14 Spectrum, so the vast majority of the population. Other areas where we don't roll it out, rural areas for example, all of the features that Public Safety wants, we call them (mumbles) and priority, which is the features to allow them to always have access to the network whenever they need it. Those features will be on our regular commercial Spectrum. So if Band 14 isn't there, the network will function exactly as if it were there for them. >> Right. Then how do you roll it out to the agencies, all the First Responders, the Fire, the Police, the EMTs, et cetera? How do they start to take advantage of this opportunity? >> Sure, so we started that earlier this year. We really started in a March-April timeframe in earnest, signing up agencies, and the uptake's been phenomenal. It's over 2500 Public Safety Agencies across America, over 150,00, and that number grows by thousands every week. That's actually a pretty old number but, they are signing up in droves. In fact, one of the problems we were having initially is, handling the volume of First Responders that wanted to sign up, and the reason is they're seeing that, whether it's a fire out in Oregon, and they need connectivity in the middle of nowhere, in a forest where there's no wireless connectivity at all, we'll bring a vehicle out there, put up an antenna and provide them connectivity. Whether it's a Fourth of July show, or a parade, or an active shooter, wherever large groups of people, combined together and the network gets congested, they're seeing that wow, my device works no matter what. I can always send a text message, I can send a video, it just works. Where it didn't work before. So they love it, and they're really, they're really signing up in droves, it's great. >> It's really interesting because it's, it's interesting that this was triggered, as part of the post 9/11 activity to make things better, and make things safer. But there was a lot of buzz, especially out here in the West with, with First Responders in the news, who were running out of band width. As you said, the Firefighters, the fire's been burning out here, it seems like forever, and really nobody thinking about those, or obviously they're probably roaming on their traditional data plan, and they're probably out there, for weeks and weeks at a time, that wasn't part of their allocation, when they figured out what plan they should be. So the timing is pretty significant, and there's clearly a big demand for this. >> Absolutely. So that example that you sight is a really good one. Two weeks ago, there was a lot in the news about a fire agency in the West, that said they were throttled by their carrier. It was a commercial carrier, and commercial carriers have terms and conditions, that sometimes they need to throttle usage, if you get to a certain level. That's how commercial networks work. >> Right, right. >> FirstNet was built with not only different technology, hardware, software, but with different terms and conditions. Because we understand that, when a First Responder responds to your house, we don't want that to be the minute in time, when their network, their plan got maxed out, and now they're getting throttled. >> Right. >> So we don't have any throttling on the FirstNet Network. So it's not only the hardware, software, technical aspects of the network, but the terms and conditions are different. It's what you would expect that a First Responder would have and want on their device, and that's what we're providing for them. >> Right, and the other cool thing that you mentioned is, we see it all the time, we go to a lot of conferences. A lot of people probably experience it at, at big events right, is that still today, WiFi and traditional LTE, has hard times in super-dense environments, where there's just tons and tons and tons of bodies I imagine, absorbing all that signal, as much as anything else, so to have a separate Spectrum in those type of environments which are usually chaotic when you got First Responders, or some of these mass events that you outlined, is a pretty important feature, to not get just completely wiped out by everybody else happening to be there at the same time. >> Exactly. I'll give you two quick examples, that'll illustrate what you just said. The first one is, on the Fourth of July, in downtown Washington D.C. You can imagine that show. It's an awesome show, but there are hundreds of thousands of people that gather around that Washington Monument, to watch the show. And the expectation is at the peak of the show, when all those people are there, you're not really going to be sending text messages, or calling people, the network's probably just not going to work very well. That's, we've all gotten used to that. >> Right, right. >> This year, I had First Responders, who were there during the event, sending me videos of the fireworks going off. Something that never would've been possible before, and them saying oh my gosh. The actually works the way it's supposed to work, we can use our phones. Then the second example, which is a really sad example. There was a recent school shooting down in Florida. You had Sheriffs, Local Police, Ambulances. You even had some Federal Authorities that showed up. They couldn't communicate with each other, because they were on different radio networks. Imagine if they had that capability of FirstNet, where they could communicate with each other, and the network worked, even though there were thousands of people that were gathering around that scene, to see what was going on. So that's the capability we're bringing to Public Safety, and it's really good for all of us. >> Do you see that this is kind of the, the aggregator of the multi-disparate systems that exist now, as you mentioned in, in your Keynote, and again there's different agencies, they've got different frequencies, they've got Police, Fire, Ambulance, Federal Agencies, that now potentially this, as just kind of a unified First Responder network, becomes the defacto way, that I can get in touch with anyone regardless of of where they come from, or who they're associated with? >> That is exactly the vision of FirstNet. In major cities across America, Police, Fire, Emergency Medical typically, are on three different radio networks, and it's very difficult for them to communicate with each other. They may have a shared frequency or two between them, but it's very challenging for them. Our goal is to sign all of them up, put them on one LTE network, the FirstNet Network, customized for them, so they can all communicate with each other, regardless of how much congestion is on the network. So that's the vision of FirstNet. >> Then that's even before you get into the 5G impacts, which will be the data impacts, whereas I think again, you showed in some of your examples, the enhanced amount of data that they can bring to bear, on solving a problem, whether it's a layout of a building for the Fire Department or drone footage from up above. We talked to Menlo Park Fire, they're using drones more and more to give eyes over the fire to the guys down on the ground. So there's a lot of really interesting applications that you can get more better data, to drive more better applications through that network, to help these guys do their job. >> Yeah, you've got it, the smart city's cameras, don't you want that to be able to stream over the network, and give it to First Responders, so they know what they're going to encounter, when they show up to the scene of whatever issue's going on in the city, of course you do, and you need a really reliable, stable network to provide that on. >> Well Chris, this is not only an interesting work, but very noble, and an important work, so appreciate all of the efforts that you're putting in, and thanks for stopping by. >> I appreciate it Jeff, it's been great talking with you. >> Alright, he's Chris, I'm Jeff, you're watching theCUBE, we're in San Francisco at the Palace of Fine Arts, at AT&T Spark. Thanks for watching, we'll see you next time. (bright music)

(upbeat music) >> Narrator: Live, from Silicon Valley, it's the theCUBE, covering Mobile World Congress 2017. Brought to you by Intel. >> Hey welcome back. We're here live in Palo Alto at the SiliconANGLE Media Cube studios, our new 4500 square foot office. We merged with our two offices here to have our own studio, and we're covering Mobile World Congress for two days. 8AM to 6 every day, breaking down all the analysis from the news, commentary and really breaking down the meaning and the impact of what's happening, and the trends. We're doing it here in California, bringing folks in and also calling people up in Barcelona, getting their reaction on the ground. We've got our reporters, we have analysts there but all the action's happening here in Palo Alto for our analysis. Our next guest is Christina Ku, director of NTT Docomo Ventures. Welcome to theCube, appreciate it. >> Hi. Well it was good to see you again. >> Great to see you. Obviously we've known each other for over a decade now and you've been in the investment community for a while. The first question is why aren't you there at a Mobile World Congress? Because it's changed so much, it's a telco show and some apps are now thrown in there. But there's so much more going on right now around 5G, AI, software, end to end fabrics. So it's not just "Give me more software, provision more subscribers." It's a whole other ball game. >> That's a great question. So our CEO of NTT Docomo is there, and the C-level team. But we are the innovation team. We have been here since 2005 doing research and then added business development about three years ago and then a ventures team that's been around and now we're part of NTT Docomo Ventures. What we're looking for is more services and software and this year I guess the focus is AI. And AI is, I would call it the new infrastructure. Since wireless networks are all data now, the new infrastructure is AI rules. Rules for everything, vertical and new maps. So I can talk a little bit more what we've been seeing in kind of the software and services area and how we're looking at the Bay Area as kind of the new innovation to bring back to Japan to work with NTT Docomo. >> That's awesome. Let's take a minute, Christina, if you can, just before we get started, take a minute to explain what your role is and the group that you're in at NTT Docomo here in the Bay area. What you guys are doing, the focus, and some of the things that you're involved in. >> Great yeah, thanks. So, I'm a director and I invest on behalf of two funds. One is NTT Docomo Ventures for NTT Docomo, the wireless carrier. Sixty-million subscribers, all in Japan. Our competitor is SoftBank. We're bigger in Japan, and have more market share. And also the NTT Group has a two hundred and fifty million dollar fund. They're off the 101 Freeway. There's NTT Security, i-Cube, a division of companies, as well. And the idea is to bring these technologies through start ups, through BD, to help them enter Japan. And also, to invest, a minority investment. >> That's awesome. So you have to pound the pavement, go out there and see all the action. Obviously, Silicon Valley, a lot of stuff happening here, and you've got a lot of experience here. Your thoughts on the business model, and how the AI as a service, you mentioned that, which is, we totally see the same thing. We see a confluence of old network models transforming into personal networks. We're seeing a trend where the relationship to the network, if you will, from a personal standpoint, could be the device initially, but now it's wearables. It's the watch, it's the tablet. So now people have this connection, digital connection to the network. Might not be just one network, it could be two, so now AI has to come in, and people are speculating that AI could be that nice brokering automation between all the digital services. Whether I'm jumping into an autonomous vehicle >> So if you refer to services for consumers, then the approach that we have is to offer a B to B to C business model, so in each lifestyle category. We purchased a cooking school, or a percentage of a cooking school, ABC Cooking. And then we were looking for kitchen devices, right, to offer that service, an oven, a bluetooth connected pan. I think some of these devices will be showing up at a Mobile World Congress. And then, people want a service wrapped around that. Same thing happened last year with fitness, with Fitbit, but also there's so many other devices to monitor your heartbeat and your health at the consumer level. But consumers want a service provider, someone to put that together for them. And I think AI would be in that layer. >> So when you say service, you don't mean like, network services or connections, you mean lifestyle services. You mentioned cooking. By the way, Twitch has one of the most popular shows in Korea. People watch each other eating food. It's one of the hottest live-streaming shows. But this kind of talks about that. You mentioned healthcare. Is this the kind of new software you see? And these are kind of the new digital services? Is that what you're looking at? >> That's exactly what we're looking at. I think people don't associate a carrier and services. In Asia, more so, maybe Korea, and Japan, because 5G will happen there, first. And Docomo will be the first carrier to have 5G in Japan. I think Korea, they'll have their version first. So I think with that, we have been, I guess since the days of i-mode, offering services, in a way. Because PC, and phone has been analogous, all data services have been just data in Japan. >> What's your take on 5G right now? Because obviously that's the big story at Mobile World Congress. Is it real? Is this one of the big upgrade areas? Do you see that being a catalyst? >> Yeah, I mean, we will have it for the Tokoyo Olympics. So we're working on that. >> And what kind of speeds are they talking about? Gigabit, is that what they're looking at? >> Yeah, I think it's within 30 seconds you can download a full HD movie. >> (laughs) I want that. >> For consumers like me right? >> Come on, I want that now. We had our last guest talking about that. "What am I going to do with a Gig?" I'm like, well, apps will figure it out. That's one of the beautiful things about software. What's the coolest thing that you've seen? In terms of, as you look at some of the things that are around the corner, what are some of the cool highlights that you see connecting the dots with some of these new kinds of services? What's the trends? >> Depends on if you say consumer, enterprise, or kind of core. Like I said, what's in the home is interesting. On the infrastructure side, mapping. I think new types of beyond Waze mapping, 3-D drone mapping. >> The drone thing is super hot. That is killer. >> But it requires a new data set. >> Yeah. >> Right? And if you look at, Waze is great, but if you look at it, it's almost outdated, now, right? In terms of what you can imagine, if there is a tree that comes up because of a storm, or has fallen down, you want that map to configure that. So that the drone can fly over the building, or the tree, or whatever's in the way. So you need real-time mapping, and I think that's an interesting area that we've been looking at a lot. >> And connectivity will fuel a lot of these devices, whether they're drones, or other sensors on the network. As that's, I'd imagine, the good instrumentation out there for that stuff. >> And also social data. The confluence of easy, cheap social data. And then marrying that, and stitching that in there. You know, we've found companies that will identify you through video, like computer vision, and a drone will follow you and recognize you through AI. >> That's cool. >> That's kind of, you know, there may be small increases in innovation, but without the AI and the machine learning, you can't- >> Yeah, it's interesting, you know, this lifestyle, these services. I think that's the right strategy in the right direction. Because we were just having a debate earlier this morning on theCube, here, about autonomous vehicles. Because one of the four categories of the hot trends in Mobile World Congress is autonomous vehicles, entertainment and media, smart cities, and home, automating and all that stuff. And that's all an opportunity for services. But we were debating that transportation's not going away, but I might not buy a car in the future. The differentiation might come from really cool software that allows me to take my preferences, my Spotify playlist, all my digital services that I am leveraging into an environment, whether it's a car, a theater, a park, a stadium. Whatever lifestyle I'm in, I can then move with my digital ecosystem, if you will. My personal- >> Your preferences. >> My digital aura, if you will, and not have to reboot, and connect. I mean right now, my phone works. I just associate, but you know, still, it feels clunky. So I think that's kind of a cool direction. Is that something that you see that telcos and most folks will pick up? Or is that just you guys doing that right now? >> I think what interests me about NTT Docomo when I joined was that they're kind of in the forefront, and in kind of leadership of that. And I think Korea and Japan, in Asia, are looking ahead. What do you do with unlimited data? And then kind of following you everywhere. So I think AI, uh, you know, we had SIRI, Shabette Concierge, which was, I guess, our version of SIRI a long time ago. There's a lot of voice-enabled applications. So, I guess, will that be the interface? I think another interesting concept is what will be the interface? The phone, Amazon Echo, what will be the natural interface for you to connect to these devices and preferences? >> Take us through the day to day in the life of a VC, kind of the deals that you do. What happens in your day to day life here in Silicon Valley? Take us through some of the things that you go through every day. >> Most days, I guess, just meeting with companies and trying to find, you know, the next one. There's so many great areas, and also the next trends. We also do a lot of enterprise deals. So I've been looking at security, cloud, a lot of the devops, or kind of what's around the cloud systems. Finding the right companies. And then, also intersecting with my, I have a business development team, and they connect to Tokyo, so there at night, talking to the business group leaders. And finding that balance of, what is a technology that would work in Japan? What are they interested in? And then, out here, scouting for those companies. >> Yeah, one of the sub-plots of the Mobile World Congress this year, which is consistent with pretty much the trend is that the enterprise, IT, is evolving very quickly because of the cloud. Amazon has certainly demonstrated the winning in the cloud. And security, no perimeter, API economy, these new trends are forcing IT to move from this proven operational methodology to very agile, data-driven, high-compute clouds. And security's one of the huge issues. And now you have multi-clouds, where I might have something in Azure, I might have something in Amazon, I might have something in a geographic basis around the world trying to operate globally, being a multinational, is challenging. What's your take on that? Because this is an area that is not sexy as the consumer play, but in the B-to-B space, it is really front and center. RSA conference just last week, we were talking on email about RSA. Two weeks ago, that was the number one thing. You've got the cybersecurity issues, you've got the cyber surveillance, and also just the threat detection from ransomware to just consumer phishing. What's your thoughts in this area? >> So, I guess we're looking at kind of what's the next new area, which would be using AI to analyze all this data that's coming in, from the perimeter, from the end point, on your network, right? And then what can bubble up to the surface? We've invested in two companies in this area: Centrify and Cyphort. Looking for, kind of, other companies that- >> John: Well, Centrify, they're really focused on the breech. >> They're really focused, yes. >> Tom Kemp, in fact we went to their party at the RSA, Jeff Frick and I. They had a great band. Had a good time with those guys. But they're doing extremely well. They're very focused on mobile. >> They're doing really well, yeah. >> So what is the challenge, in your mind, right now, if you're an entrepreneur out there, for the folks watching? They're looking for kind of like the white space. They're looking for some tea leaves to read. Could you share any color on just advice for the entrepreneurs out there? Because it's certainly a turbulent time in the enterprise, and just in general, the cloud market. >> It's very competitive. >> Advice for entres, where should they focus? What sort of key metrics should they be building their ventures around? >> I think it depends on if you have an idea, or have a product already, but I think it's very competitive, right? And it's hard to break out of. What's your product differentiation? On the enterprise space, I think building a product, solving the problem. And then once you've done that, built a great team, then sales. And I think in the security space, trying to get to a million ARR, right? Just getting to a certain scale- >> So tell us about Centrify. When did you guys invest in those guys? Early, was it later on, which round did you guys- >> We invested, in the last round, so, uh, we were late stage investors, but we're very happy with the investment. They're doing very well. >> Awesome. Any other cool things you're working on that you'd like to share? >> We have taken apart AI, and started to look at transportation, so I think mapping is a little bit a part of that. It's also driving different industries, like e-commerce, IoT. We've looked at IoT. >> You must get a lot of this all the time, and I've got to ask you the same question, because I always get asked, "John, what is AI?" Now, I have two answers. Oh, AI's been around for a long time, but then there's a new AI. How do you answer that question? Because AI as a service essentially is software in the world paradigm, and it certainly is happening where you're going to start to see some significant software advances. But AI in and of itself is evolving. How do you describe AI as a service? How would you describe it to the layperson out there? >> I think, maybe its early stage, it's the team, and the technology. How many PhDs, you know, what are you looking at? What type of machine learns? That's, we have the more technical team. We build services. You know, my boss' boss is the head of services and he reports to the CTO of Docomo. His team and he, they look at that. Then on the other hand, though, I think its later stage, is vertical industries. Have people taken it apart, put it together, and then are monetizing that? So I think it's- >> John: It's a lot of machine learning. A lot of data-driven, So algorithms over data, or data over algorithms? Is there a philosophy there? I mean, that's a debate that people love to talk about. >> Maybe it depends on where you're applying it, who it's for, where do you get the data, how do you train the data? And, you know, what is the result? And are people happy with the result? I think the core infrastructure, I think once an AI company becomes hot, then it gets bought, and at that point, we all know who the players are. And people are probably looking for more and more of those, so I think those are harder to find. So then, like I've said, we've taken that apart, and maybe we've looked at mapping. What are maybe more the components underneath that that we can start to say this is going to be huge in the future? >> Yeah, and I think that's a great philosophy, too. If you look at how IBM has branded Waston, you could almost look at how successful that's been because people can get a mental model around that. And they've taken a similar approach, although I would say they've done very good on the vertical packaging. And a lot of work's going on, now, I think we're seeing down in the guts of the tech. I think there's a machine learning and more going on there, which is really cool. >> Which utilizes the cloud, right, and- >> That's where the power- >> That's where the power is. >> The compute. I mean Amazon has that. At the last re-invent, they announced the machine learning as a service. You're starting to see this now, where people can take a iterative approach to leveraging this AI as a service. I'm really impressed by that. Congratulations on a great strategy. I think that should be a winner. >> Yeah. Thank you. And that's going to be probably a core business model. I think other telcos should take notice of that. But maybe we shouldn't tell them we're alive. We can't put it back. Christina, thanks so much for coming in, appreciate it. Christina Ku, here, inside theCube. Special coverage of Mobile World Congress. Doing all the investments, checking out all the new business models, and really looking at AI as a service, and that really is cutting edge. That really is consistent with the data. It's theCube, we'll be right back with more after this short break. (tech music) (digital music)