(Introductory music) >> Hello everyone, welcome to theCUBE's coverage of Mobile World Congress (MWC) and also SiliconANGLEs news coverage. Welcome to SiliconANGLEs news update for MWC. I'm John Furrier, host of theCUBE and reporter with SiliconANGLE News Today. Google showcasing new updates for Android and wearables at MWC. Kind of going after the old Apple-like functionality. Google has announced some new updates for Android and wearables at MWC and Barcelona. The new features are aimed at enhancing user productivity, connectivity and overall enjoyment across various devices for Chromebooks and all their Android devices. This is their answer to be Apple-like. New features include updates to Google Keep, audio enhancements, instant pairing of Chromebooks, headphones, new emojis, smartphones, more wallet options, and greater accessibility options. These features designed to bridge the gap between different devices that people use together often such as watches and phones or laptops or headphones. Fast Pair, another feature which allows new Bluetooth headphones to be connected to a Chromebook with just one tap. If the headphones are already set up with Android phone, the Chromebook will automatically connect to them with no additional setup. And finally, Google Keep taking notes for you that app - very cool. New features include widgets for Android screens, making it easier for users to make to-do lists from their mobile devices and Smartwatches phones. So that's the big news there. And it's really about Apple-like functionality and they have added things to their meat, which is new backgrounds and then filters that's kind of a Zoom clone. So here you got Android, Google adding stuff to their wallet. They are really stepping up their game and they want to be more mobile in at a telecom conference like this. They can see them upping their game to try to compete with Apple. And that's the update from from Google, Android and Chromebook updates. Stay tuned for more coverage. Check out SiliconANGLE.com for our special report on Mobile World Congress and Barcelona. Got theCUBE team - Dave Vellante, Lisa Martin, the whole gang is there for four days of live coverage. Check that out on theCUBE.net (closing music)

>> Live from New York, it's theCUBE. Covering theCUBE New York City 2018. Brought to you by Silicon Angle Media and its ecosystem partners. >> Hi, welcome back. I'm your host Sonia Tagare with my cohost Dave Vellante, and we're here at theCUBE NYC covering everything big data, AI, and the cloud. And this week is also New York Fashion Week, and with us today we have a guest who intersects both of those technologies, so Billie Whitehouse, CEO of Wearable X, thank you so much for being on. >> It's a pleasure, thank you for having me. >> Great to see you. >> Thank you. >> So your company Wearable X, which intersects fashion and technology, tell us more about that. >> So Wearable X started five years ago. And we started by building clothes that had integrated haptic feedback, which is just vibrational feedback on the body. And we really believe that we can empower clothing with technology to do far more than it ever has for you before, and to really give you control back of your life. >> That's amazing. So can you tell us more about the haptic, how it works and what the technology is about? >> Absolutely. So the haptics are integrated with accelerometers and they're paired through conductive pathways around the body, and specifically this is built for yoga in a line called NadiX. And Nadi is spelled N-A-D-I. I know that I have a funny accent so sometimes it helps to spell things out. They connect and understand your body orientation and then from understanding your body orientation we pair that back with your smartphone and then the app guides you with audio, how to move into each yoga pose, step by step. And at the end we ask you to address whether you made it into the pose or not by reading the accelerometer values, and then we give you vibrational feedback where to focus. >> And the accelerometer is what exactly? It's just a tiny device... Does it protrude or is it just...? >> I mean it's as invisibly integrated as we can get it so that we can make it washable and tumble-dryable. >> So I know I rented a car recently, big SUV with the family and when I started backing up or when I get close to another car, it started vibrating. So is it that kind of sensation? It was sort of a weird warning but then after a while I got used to it. It was kind of training me. Is that-- >> Precisely. >> Sort of the same thing? And it's just the pants or the leggings, or is it the top as well? >> So it's built in through the ankles, behind the knees and in the hip of the yoga pants, and then we will release upper body work as well. >> Alright, so let's double click on this. So if I'm in a crescent pose and I'm leaning too far forward, will it sort of correct me or hit me in the calf and say, "Put your heel down," or how would that work? >> Exactly. So the audio instructions will give you exactly the kind of instructions you would get if you were in a class. And then similarly to what you would get if you had a personal instructor, the vibrations will show you where to isolate and where to ground down, or where to lift up, or where to rotate, and then at the end of the pose, the accelerometer values are read and we understand whether you made it into the pose or whether you didn't quite get there, and whether you're overextended or not. And then we ask you to either go back and work on the pose again or move forward and move on to the next pose. >> That is amazing. I usually have to ask my daughters or my wife, "Is this right?" And then they'll just shake their heads. Now what do you do with the data? Do you collect the data and can I review and improve, feed it back? How does that all work? >> So the base level membership, which is free, is you don't see your progress tracking as yet. But we're about to release our membership, where you pay $10 a month, and with that you get progress tracking as a customer. Us on the back end, we can see how often people make it into particular poses. We can also see which ones they don't make it into very well, but we don't necessarily share that. >> And so presumably it tracks other things besides, like frequency, duration of the yoga? >> Exactly. Minutes of yoga, precisely right. >> Different body parts, or not necessarily? >> So the accelerometers are just giving us an individual value, and then we determine what pose you're in, so I don't know what you mean by different body parts? >> In other words, which parts of my body I'm working out or maybe need to work on? >> Oh precisely. Yeah if you're overextending a particular knee or an ankle, we can eventually tell you that very detailed. >> And how long have you been doing this? >> It's five years. >> Okay. And so what have you learned so far from all this data that you've collected? >> Well I mean, I'm going to start from a human learning first, and then I'll give you the data learnings. The human learning for me is equally as interesting. The language on the body and how people respond to vibration was learning number one. And we even did tests many years ago with a particular product, an upper body product, with kids, so aged between eight and 13, and I played a game of memory with them to see if they could learn and understand different vibrational sequences and what they meant. And it was astounding. They would get it every single time without fail. They would understand what the vibrations meant and they would remember it. For us, we are then trying to replicate that for yoga. And that has been a really interesting learning, to see how people need and understand and want to have audio cues with their vibrational feedback. From a data perspective, the biggest learning for us is that people are actually spending between 13 to 18 minutes inside the app. So they don't necessarily want an hour and a half class, which is what we originally thought. They want short, quick, easy-to-digest kind of flows. And that for me was very much a learning. They're also using it at really interesting times of the day. So it's before seven AM, in the middle of the day between 11 and three, and then after nine PM. And that just so happens to be when studios are shut. So it makes sense that they want to use something that's quick and easy for them, whether it's early morning when they have a big, full day, or late night 'cause they need to relax. >> Sounds like such a great social impact. Can you tell us more about why you decided to make this? >> Yeah, for me there was a personal problem. I was paying an extraordinary amount to go to classes, I was often in a class with another 50 people and not really getting any of the attention that I guess I thought I deserved, so I was frustrated. I was frustrated that I was paying so much money to go into class and not getting the attention, had been working with haptic feedback for quite some time at that point, realized that there was this language on the body that was being really underutilized, and then had this opportunity to start looking at how we could do it for yoga. Don't get me wrong, I had several engineers tell me this wasn't possible about three and a half years ago, and look at us now, we're shipping product and we're in retail and it's all working, but it took some time. >> So you're not an engineer, I take it? >> I am not an engineer. >> You certainly don't dress like an engineer, but you never know. What's your background? >> My background is in design. And I truly think that design, for us, has always come first. And I hope that it continues to be that way. I believe that designers have an ability to solve problems in, dare I say, in a horizontal way. We can understand pockets of things that are going on, whether it's the problem, whether it's ways to solve the solutions, and we can combine the two. It's not just about individual problem solving on a minute level; it's very much a macro view. And I hope that more and more designers go into this space because I truly believe that they have an ability to solve really interesting problems by asking empathetic questions. >> And how does the tech work? I mean, what do you need besides the clothing and the accelerometers to make this work? >> So we have a little device called the pulse. And the pulse has our Bluetooth module and our battery and our PCB, and that clips just behind the left knee. Now that's also the one spot on the body that during yoga doesn't get in the way, and we have tested that on every body shape you can imagine across five different continents, because we wanted to make sure that the algorithms that we built to understand the poses were going to be fair for everybody. So in doing that, that little pulse, you un-clip when you want to wash and dry. >> And is that connected to the app as well? >> Exactly, that's connected via Bluetooth to your app. >> That's great. So you have all your data in your hand and you know exactly what kind of yoga poses you're doing, where you need to strengthen up. >> Exactly. >> That's great. >> And is it a full program? In other words, are there different yoga programs I can do, or am I on my own for that? How does that work? >> So with the base level membership, you can choose different yoga instructors around New York that you'd like to follow, and then you can get progress tracking, you can get recommendations, and they are timed between that 10 to 20 minutes. If you want to pay the slightly more premium membership, you can actually build your own playlists, and that's something that our customers have said they're really interested in. It means that you can build a sequence of poses that is really defined by you, that is good for your body. So that means instead of going to a class where you end up getting a terrible teacher, or music that you don't like, you can actually build your own class and then share that with your friends as well. >> Is it a Spotify-like model, where the teachers get compensation at the back end, or how does that all work? >> Exactly. Yes, precisely. >> And what do you charge for this? >> So the pants are $250, and then the base level membership is $10 a month, and then the slightly more premium is $30 a month. >> If you think about how much you would spend for a yoga class, that actually seems like a pretty good deal. >> And trust me, when you start calculating, when you go to yoga at least once a week, and it's $20 a week and then you're like, "Oh, and I went every week this year," you realize that it racks up very quickly. >> Well plus the convenience of doing it... I love having... To be able to do it at six a.m. without having to go to a class, especially where I live in Boston, when it's cold in the winter, you don't even want to go out. (all laughing) >> So what do you think the future of the wearable industry is? >> This is a space that I get really excited about. I believe in a version of the future, which has been titled "enchanted objects." And the reason I sort of put it in inverted commas is I think that often has sometimes a magical element to it that people think is a little too far forward. But for me, I really believe that this is possible. So not only do I believe that we will have our own body area network, which I like to call an app store for the body, but I believe every object will have this. And there was a beautiful Wired article last month that actually described why the Japanese culture are adopting robotics and automation in a way that western culture often isn't. And that is because the Shinto religion is the predominant religion in Japan, and they believe that every object has a soul. And if in believing that, you're designing for that object to have a soul and a personality and an ecosystem, and dare we call it, a body area network for each object, then that area network can interface with yours or mine or whoever's, and you can create this really interesting communication that is enchanted and delightful, and not about domination. It's not about screens taking over the world and being in charge of you, and us being dominated by them, as often we see in culture now. It's about having this really beautiful interface between technology and objects. And I really believe that's going to be the version of the future. >> And looking good while you do it. >> Precisely. >> You've got visions to take this beyond yoga, is that right? Other sports, perhaps cycling and swimming and skiing, I can think of so many examples. >> Exactly. Well for us, we're focused on yoga to start with. And certainly areas that I would say are in the gaps. I like to think of our products as being very touch-focused and staying in areas of athleisure or sports that are around touch. So where you would get a natural adjustment from a coach or a teacher, our products can naturally fit into that space. So whether it is squats or whether it is Pilates, they're certainly in our pipeline. But in the immediate future, we're certainly looking at the upper body and in meditation, and how we can remind you to roll your shoulders back and down, and everyone sits up straight. And then longer term, we're looking at how we can move this into physiotherapy, and so as you mentioned, you can enter in that you have a left knee injury, and we'll be able to adjust what you should be working on because of that. >> Is there a possibility of a breathing component, or is that perhaps there today? Such an important part of yoga is breathing. >> 100%. That is very much part of what we're working on. I would say more silently, but very much will launch soon. >> Well it sounds like it's going to have such a positive impact on so many people and that it's going to be in so many different industries. >> I hope so. Yeah that's the plan. >> Well Billie Whitehouse, thank you so much for being on theCUBE, and Dave, thank you. We're here at theCUBE NYC, and stay tuned, don't go anywhere, we'll be back. (inquisitive electronic music)

>> Narrator: Live from San Francisco, it's the CUBE. Covering Samsung Developer Conference 2017, brought to you by Samsung. >> Okay, welcome back everyone. We are here live with the CUBE coverage where Cloud Native and the SmartThings Conference from Samsung Developer Conference. I'm John Furrier, the founder, the co-founder of SiliconANGLE Media. Co-host of the cube here with Redg Snodgrass, who's the chairman of ReadWrite and ReadWrite Labs. >> Hello everybody. >> Also been an entrepreneur, he's done the Wearable World events, done a lot of things in tech, riding the waves. You seen them, a lot of action going on, Redg. Want to get your the thoughts as we wrap up day one of two days of wall-to-wall coverage of the cubes, Samsung Developer Conference, a lot going on. You know Samsung, they're trying to play their best hand that possible. Obviously, they're not going to come out and say, We're not really ready for primetime, for the cloud. But the reality is, they're not ready for primetime for the cloud and IoT. However, huge strides in positioning, messaging, and the self awareness of their stove pipes. They are series of stove pipes that they've recognized, We've got to make this a 2.0 Bixby that crosses across all of Samsung, open up IoT. >> Redg: Which I thought was great. >> Open ecosystem, everything else, to me, is a work in progress, kind of, cover the, hide the ball, a little bit, I mean, what's your thoughts? Do you agree or what's your reaction? >> Oh man, I was on a panel earlier today. And somebody was like, oh, this is great. And I wanted to go back to, back when we did the open API service with Alcatel-Lucent, when we roll out all this stuff for the telcos. I mean, it's just, it's a lot of hype, initially. But what I do like about it is it seems like there's a dogged commitment to creating all the different documentations necessary and bringing that in, I mean, if they really put the full marketing weight behind it, this could get really interesting really fast. I mean, they own almost every device in your home already. >> Well, I said the word hide-the-ball. Maybe I should take a step back and not be too harsh. What I mean by that is, they're not hiding the ball on purpose, I think they're, by design, and I think Greg mentioned this earlier. Greg Narain said, they're doing it by design. And I think that that's a good call. SmarterThings is a good positioning because it highlights multiple devices and connecting it together. I think if they played the data card and the cloud too much, they would've overplayed their hand, and it's not needed. I mean, do you think it's needed? I mean, I don't think it's needed. >> Well, one of the biggest problems with IoT right now is that you have multiple different silos creating data. And then all those data silos have to figure out how to come together and talk about it. I mean, it seems like they're taking a step out, and saying, hey, we want to build that solution. Which is great, I'm more interested in the orchestration between different OSs, like, how are they really going to do that? Because it, we talked a lot about, when you build one of these ecosystems, you're really just building an economy. And the more open that you let your economy, right, the more business models come in, the more people that can be there. And so, if we were to start thinking about these OSs as real economies, like what do you need to have economy work? >> Well, I think this is why, we were talking earlier, I think that you had a good point. I think that validates what I'm thinking out loud here, which is, why play the data card. They don't need to because it's still open-book. They still got to figure it out, and that's not a bad thing. They play with their best hand, which is the consumer hand. >> Redg: It's consumerism is where they're at >> The devices are awesome, the screen on the phones are phenomenal, they got TVs. They got a little bit of a family hub going on with the living room, kitchen thing, with the refrigerators. That's IoT, they got healthcare because it's a device issue. So they're working their way from the consumer edge into the industrial edge. Now, if you're in the IT world, you have security problems. So most people that we talk to, at the humans, they say, hey John, my plate is full, I got to staff up my DevOps and my application developers. I got to unbolt security from my IT department, make that report to the board as a profit center now. And I got all this machine learning and Cloud Ops, and you want me to do what? Like, instrument my entire factory with this IoT thing? So people are holding the brakes. >> Well, I mean think about it. Every day, right, you're confronted with another executive that has like fallen on a sword of a major security hack, a major security issue. And so, as an executive of a major like business unit, with a technology group in front of you, you're sitting there making all these decisions every day. And it used to, you used to come and say, okay, we're going to make decisions every eight, nine months. And you have this big waterfall thing in front of you. And you know that, from your vendors, that. >> John: It's predictable >> Everything was predictable, and now it's like, oh man, I got to get into this Google Glass stuff, and I've got, no, now it's wearables, and wearables, that doesn't work, I need my IoT infrastructure stuff. And so we're moving the court, you know, away from all these CIO, CTOs consistently of what they need to think about next. >> It's interesting, if you look at the stack, go back to the old 80s OSI model, you got the lower level stack, middleware, and then application stacks. If you follow the data, and the networks, and the packets, how it moves, you can almost see the trends, batch versus real time. And I think what we've seen in the big data world, in data sciences, which can be analytics, obviously specialty industry. But the role of data and realtime, self-driving cars, really highlights this really huge wave coming, which is how that people dealt with data and software, the relationship between software and data was different. You store it in a database, build the database, call the database, get the data out, load it in, slow, monolithic, siloed. But now you have data that you need in really low latency at any given time, in any different app, from any different database, in less than a millisecond how do you do that. >> Well, think of it. >> John: That takes intelligence. >> About two years ago, I had a great conversation with a big packet moving company that managed most of the packet movement for most of the internet. And we were talking about, what does it look like per person in the US in the next like three or four years? And it could be up to a petabyte a day at a per person. Now that sounds awesome because if you look at all the different like videos we watch, it's like, oh, that's great, really cool flying car. You know, connecting windows, no one's really doing the math on that. And if it's a petabyte per day per person, like in the US a year even, or you know. I could see models where it could be a month. Think about what that does to the network load. We just don't have the math to be able, you know, possibility to handle that. >> This is why the decentralization with Blockchain is interesting. Even though Blockchain is hyped up, I think it's fundamental to the internet, as this Dr. Wong from Alibaba, who told me that last week. He said it was like a TCP/IP, I agree with him because you have distributed computers, which we know about. We've been there, done that, but now you got decentralized and distributed, two different concepts at the same time. That's a fundamental paradigm shift. >> Well, I mean it's just, so, I mean, you got to. >> It's intoxicating to think about what that disrupts. >> No, no, I love it, I mean, honestly, I've fallen in love with narrow band networks the last week. For some reason, I'm the weirdest person on the planet. Because it's such a solution for security. It's such a solution for a lot of this back calling and data that we're going to have. It'll be interesting to look at, but when you think about the pure math on this. >> John: Are you back calling data or are you back calling compute? >> Oh, well it's so. >> That's a different conversation. The trend is, don't move the data. Throw the compute at it because compute is, this is an architectural renaissance happening, people are re-imagining. >> How many, how many startup. >> In global infrastructure. >> Execs can even like draw architecture? Right, with all the lame startups, I mean, when was the last time you saw like somebody pitch. When they came to pitch, it's like, let me talk about my architecture. >> John: That should be the first slide. >> It should be the slide that you talk about as an executive and everything, I don't see. >> If he can't get on the whiteboard. >> Startups deliver architecture. >> If you can't get on the whiteboard and lay out an architecture on fundamentally the core engine of your technology, you shouldn't get funded. >> Well, so that is a major issue that's happening right now because I do think that we have this group think where we've disallowed a lot of R&D thinking. We don't do longterm R&D before we get a product to market. And now, like all. >> John: Sometimes you can't. Sometimes you have to sprint out and put a stake in the ground and iterate. >> Think about all of the connected device product. How do you test the connected device product to scale? Right, I mean the iPhone, you know Samsung, everybody has all these devices out there, they're getting this data, it's coming in they can actually iterate on that product and make decisions, right? >> Well, that brings up a good point. We saw this at the Cube at VMWorld. For the first time we heard people grumbling in the hallways like, you know, I love the ENC tries, but they just haven't tested this use case. And the use case was a new workload that had unique characteristics. In this case they needed low latency. It was an edge device, so it was mandatory to have no latency with all this was trickling data in. But in this case, they had set up their virtual SAN in a tiered basis. And they needed a certain hardware configuration with vSAN. And they've never tested the hardware stack with the software stack. So it's just one of those things that the hardware vendor just never imagined, you can't QA the unknown. So this is where I'd see Samsung doing things like in-chip and seeing what Intel's doing with some of their FPGA stuff. You can see that these infrastructure guys got to bring that DevOps concept to the consumer world. >> Redg: Oh, it's going to be so hard. >> Which is programming the. >> Redg: So hard. >> The hardware at will. >> Yeah, well. >> John: Like the cloud DevOps ethos. What do you think of that? >> Yeah, no, no, no, look, I mean, I'm such a big fan of being able to get your product in people's hands, to be able to see the use cases, develop them out and push that forward. You know, big corporations can do that. You have 10 iterations of almost every iPhone right now, with thousands of engineers iterating on it. So when you look at like the competitor, which is your device right now, versus every other piece of IoT technology that isn't been perfected or anything. Our biggest issue is we're driven by the success of the smartphone for every other piece of technology today. And that's, that makes it hard to drive adoption for any other devices. >> So I get your thoughts on this, 'cause we wrap up day one. Obviously, let's talk about the developers that they're targeting, okay. >> Okay. >> The Samsung developers that they're targeting is the same kind of developers that Apple's targeting. Let's just call it out, however, you see voice-activated touch, you're seeing the services tools, now they're bringing in an IoT. You're not hearing Apple talk about IoT. This is unique, you got Google onstage, wink, wink, hey, everybody we're here, we're Google, Android, coming together. What is in the mind of the developer in the Samsung ecosystem right now, what's your take on it, what's the psychology of that developer? >> I built an app at one point in time. It was dating app a long time ago, right, with some other guys, they built it, I was just the mouth. It's called Scout and we were on the Simian platform, and the iPhone, and we were on web, we were on mobile web. And in the iPhone app store, all with one engineer. And it was really hard because we had real-time chat. It was just so much crazy things. At the end of the day, what always matters is, again, you're building economies, you're not building fun playgrounds or anything else like that. And if your economy is, your platform is the easiest to use, it has the capabilities and advantages that are the norm, right, you'll win. Bass Diffusion is great it's this guy out here, he won a Nobel prize, but what Bass Diffusion says, in order for you to win in a market, you need two things, imitation and innovation. Imitation, for instance, in TVs, is your TV black and white, is it color. As things move up, innovation eventually overtakes, and always becomes innovation. So when you look at like what's needed in market, the platform that is the easiest to use, the platform that has the most capable imitative qualities, it's just very easy for you to push things to market universally from OS to OS, along with certain pieces of innovation around business models, certain API capabilities that may make it easier for them to deliver revenues. If those are the things that are delivered, that we see pushed out, a good blend of imitation and innovation, the win. It's that person that actually can deliver it. >> Well, we're seeing gaming in entertainment really driving change, Netflix earnings just came out. They blew it away again, you're seeing the cord cutters are clearly there. >> So much for Disney, right? >> E-commerce, yeah, I mean, Amazon's still got to make some moves too, even though they were still winning. No one's really falling out of the chair for Prime. I mean, no, I don't know a lot of people who rigorously turn on Prime, they shop on Prime, but not necessarily watching any entertainment. So I'm a little critical of Amazon on that. But, then again, but Amazon's doing the right thing. Netflix, Amazon, YouTube, you're seeing a culture of digital entertainment shifting. E-commerce is shifting, and now you got web services. I think Amazon encapsulates, in my mind, a great strategy, retail and services, but if you extend that out to the rest of the world, voice-activated apps, you can blend in commerce entertainment, you can replicate Amazon. I mean, they could replicate everything out there in the open. >> Amazon is so good at understanding where they fit in the stack and then, pushing the edge case further and further and further along. They're really brilliant, versus like VMware that's like, oh man, we can make apps, no problem. They went to make apps, and it didn't work out so well, they're great with VMs, so. >> John: They're great with operators in the enterprise, not so much with DevOps. >> No, no, no, no, and it's. >> They got pivotal for that now. Michael Dell bought everyone up. >> Yeah, exactly. It's understanding where you fit in the stack and being able to take advantage of it strategically. I mean, like I said, I think Samsung's positioned really well, I mean, I wouldn't have come and hung out with everybody if I was like, ah, I'm going to be bored all day. There's a lot of really exciting things. >> We got a lot of eye candy, no doubt about it. I love their TVs, love their screens. The new Samsung phone, is spectacular, you what I mean. >> I'm pretty ecstatic. >> It was the first phone that wanted me to get transferred off my iPhone. And I ended up getting the little junior Samsung here, but. >> Oh no, well it'll be interesting as they start to connect their platform together as all a lot of these other developers start pushing the pieces of their strategy together. Remember, it's like whenever you throw a strategy out here like this, it's like you have a big puzzle with a lot of empty pieces. >> I mean, the question I have for you is, let's just close out the segment. What do you think, what area should Samsung really be doubling down on or peddling faster, I should say. What should be developing faster? Is it the open APIs, is it the cloud? And they got to get the open ecosystem going, in my opinion. That's my take, what do you think they should be working on the most right now? >> Yeah, I mean like look, cloud is going to be really, really, there's a lot of competitors out in cloud. There's a lot of multiple, there's a lot of choices, right. Where I've seen them like really do well, I'll go back to the fact that I firmly believe that Google never really monetized the Android that Samsung did that a lot better. And so, by looking at the different points in the market, where they're good, I mean, their ecosystem is solid. I mean, yes, I mean it seems like the sexy thing is Apple, but I've talked to several developers, and I know where they make their money, and they do a strong amount of revenue, if not equivalent to where the iPhone is, at least from what I've heard so far. >> The android market share it's not shabby at all. >> Not, so. >> Damn good. >> So they've, they've been able to do this, like, from that, taken that Android stack, applying that imitation and innovation on top of it, fascinatingly so, I wouldn't count them out for this. And I'm pretty encouraged to see all the other aspects, but I like the ecosystem built out too. >> Redg Snodgrass, ReadWrite Labs, quick plug for you. What's going on in your world? Got some recent activities happening, please share update. >> So, yeah it's great, so we just launched our IOT revolution event series where we look at the atomic unit of different markets. And what that means is, we find the real buyers and sellers, a lot like what Debbie Lann, who I love, did. And we look at the buyers and sellers together, along with the top series A startups, all around newsworthy issues. And so, whatever it's like, is it hacking and Russia. You know, then we'll get cybersecurity experts up, and we'll talk about those issues from an executive point of view. And that's the thing that's making me most excited because I get to have all these conversations with people. It will be on video, onstage, November 13th, is the first one, it's a private event, but we'll work out anybody. >> Where's it going to be? >> It'll be in San Francisco, around 100 Broadway. So it's kind of a quiet thing, but I'd love for everybody to come if you're interested. >> It's a quiet thing but I want everyone to come. It was, not going there, too many people are going. >> It's like my parties, right? >> It's like a Yogi Berra. Well, thanks for coming out, appreciate, wrapping up day one of coverage The Cube. This is Samsung Developer Conference 2017. Hashtag SDC2017, that's what they're calling it. Lot of great guests today go to YouTube.com/siliconangle for all the great footage. And also check the Twitter sphere, lot of photos. And shout-out to Vanessa, out there has like helped us set everything up. Appreciate it and great to the team. That's day one wrap up, thanks for watching. (upbeat music)

>> We're here, about to go live, here in a selfie on the pre Silicon Valley Friday Show, about to go live for our show, for some live Friday. We've got a great lineup, it's on my Twitter. Donald Trump and all his viral tweets and now there's an algorithm out there that creates a shorting stock called Trump and Dump, we're going to be talking to the inventor of that new app. Bunch of other great stuff, controversy around Silicon Valley and Intel, controversy on Google, and we'll be watching a great show, well, hopefully you'll be watching. >> Male Announcer: Live, from Cube headquarters in Palo Alto, California it's the Silicon Valley Friday Show, with John Furrier. (serene techno music) >> Hello, everyone, and welcome to the Silicon Valley Friday Show, I'm John Furrier, we are here live in Palo Alto, California for the Silicon Valley Friday Show every Friday morning we broadcast what's going on in Silicon Valley, what's going on in the streets, we call up people and find out what's going on, this show we've got a great lineup. We're going to talk about, I'll say, the news, Twitter, but we've got this fun segment where we have an algorithm, a bot, an AI bot that goes out there and takes all of Donald Trump's tweets and creates a shorting of the stock and creates making money, apparently, Donald Trump's tweets do move the market. We're going to talk about Snapchat, Snap Inc's IPO, and a refiling and some controversy going around that. Also, controversy around Intel Corporation that just announced a fab plant in Arizona and the CEO is in the White House making the announcement, giving the impression that Donald Trump was all behind this, turns out the CEO is a Republican and supports Donald Trump, when apparently this has been in the works for multiple years, so, not sure that's going to be a game changer for Trump but certainly Intel's taking advantage of the schmooze factor and the PR stunt that has people in Silicon Valley up in arms. Obviously, Intel is pro-immigration, bringing people in, obviously, Andy Grove was an immigrant, legend of Intel. And we have also tons of stuff going on, we're going to preview Mobile World Congress the big show in Barcelona at the end of the month. We're doing a two day special here, live in Pal Alto, we're going to do a special, new Silicon Valley version of Mobile World Congress. We'll give you a preview, we're going to talk to some analysts. And also, the fake news, fake accuracy, and all the stuff that's going on, what is fake news? What is inaccurate news? Is there a difference? Does it matter? It certainly does, we have an opinion on that so, great show lineup. First, is actually Twitter earnings are out and they kind of missed and hit their up on the monthly active uniques by two million people. A total of I think 300 million people are using the number here, just on my notes here says, that there are up to 319 million active, monthly active users. And of course, Trump has been taking advantage of Twitter and the Trump bump did not happen for Twitter, although some say Trump kept it alive. But Trump is using Twitter. And he's been actively on Twitter and is causing a lot of people, we've talked about it many times on the show, but the funniest thing that we've seen, and probably the coolest thing that's interesting is that there's an entrepreneur out there, an agency guy named Brian, Ben Gaddis, I'm sorry, president of T3. He's a branding guy, created viral videos on NPR, all over the news, went viral, he created an AI chatbot that essentially takes Donald Trump's tweets, analyzes any company mentioned and then instantly shorts the stock of that company. And apparently it's working, so we're going to take a look at that. We're also going to talk to him and find out what's going on. We're going to have Ben Rosenbaum on, we're going to have someone from Intel on, we have a lot of great guests, so let's take a look at this clip of the Trump and Dump and then we're going to talk to Ben right after. >> Announcer: T3 noticed something interesting about Twitter lately, particularly when this guy gets hold of it. Anytime a company mentions moving to Mexico or overseas or just doing something bad, he's on it, he tweets, the stock tanks. Tweet, tank. Tweet, tank. Tweet, tank. Everyone's talking about how to make sense of all this. T3 thought the unpredictability of it created a real opportunity. Meet the Trump and Dump automated trading platform. Trump and Dump is a bot powered by a complex algorithm that helps us short stocks ahead of the market. Here's how. Every time he tweets, the bot analyzes the tweet to see if a publicly traded company is mentioned. Then, the algorithm runs an instant sentiment analysis of the tweet in less than 20 milliseconds. It figures, positive or negative. A negative tweet triggers the bot to short the stock. Like earlier this month, his Toyota tweet immediately tanked the stock. But the Trump and Dump bot was out ahead of the market. It shorted the second after his tweet. As the stock tanked, we closed our short and we made a profit, huge profit. Oh, and we donated our profits here. So now, when President Trump tweets, we save a puppy. It's the Trump and Dump automated trading platform. Twitter monitoring, sentiment analysis, complex algorithms, real time stock trades. All fully automated, all in milliseconds. And all for a good cause. From your friends at T3. >> Okay, we're back here in Silicon Valley Friday Show, I'm John Furrier and you just saw the Trump and Dump, Trump and Dump video and the creator, that is Ben Gaddis on the phone, president of T3, a privately owned think tank focused on branding. Ben, thanks for joining us today. >> Thanks for having me, John. Excited to talk with you. >> So, big news NPR had on their page, which had the embed on there and it went viral. Great video, but first talk about the motivation, what's going on behind this video? This is very cool, explain to the folks out there what this Trump and Dump video is about, why did you create it, and how does it work? >> So, we had just like, I think, almost everyone in the United States, we were having a conversation about what do you do with the fact that President Trump is tweeting and tweeting about these companies, and in many cases negatively. So we saw articles talking about it and actually one day a guy in our New York office came up with this idea that we ought to follow those tweets in real time and if he mentions a publicly traded company negatively, short the stock. And so, we kicked that idea around over slack and in about 30 minutes we had an idea for the platform. And about two days later one of our engineers had actually built it. And so what the platform does is it's really actually simple yet complex. It listens to every tweet that the president puts out and then it does two things: it determines if there's a publicly traded company mentioned and if there is, and it actually does sentiment analysis in real time, so, in about 20 milliseconds, it can tell if the tweet is positive or negative. If it's negative, we've seen the stocks typically go down and we short sell that stock. And so, the profit that we develop from that, then we donate it to the ASPCA and then hopefully we save a puppy or two in the process. >> Yeah, and that's key, I think that's one thing I liked about this was you weren't arbitraging, you weren't like a real time seller like these finance guys on Wall Street, which by the way, have all these complex trading algorithms. Yours is very specific, the variables are basically Donald Trump, public company, and he tends to be kind of a negative Tweeter so, mostly to do with moving to Mexico or some sort of you know, slam or bullying kind of Tweet he does. And which moves the market, and this is interesting though, because you're teasing out something clever and cool on the AI kind of side of life and you know, some sort of semantic bot that essentially looks at some context and looks at the impact. But this is kind of the real world we're living in now, these kinds of statements from a president of the United States, or anyone who's in a position of authority, literally moves the market, so you're not doing it to make money you're doing it to prove a point which is that the responsibility here is all about getting exposed in the sense that you got to be careful of what you say on Twitter when you're the president of the United States. I mean, if it was me saying it, I mean, I'm not going to move the market but certainly, you know, the press who impact large groups of people and certainly the president does that so, did you guys have that in mind when you were thinking about this? >> Well, we did. I mean, I think, you know, our goal was, this is what we do for a living, we help big brands monitor all their digital presences and build digital strategy. So, we're already monitoring sentiment around Twitter and around social platforms so, it's pretty core to what we do. But we're also looking at things that are happening in pop culture and societally, what kind of impact social might have on business. And so, the fact that we're able to take an action and deliver a social action, and deliver a real business outcome is pretty core to what we do. What's different here and what's so unique is the fact that we've never really seen things like, policy, whether it's monetary policy, or just general policy be distributed through one platform like Twitter and have such a big impact. So, we think it's kind of a societal shift that is sort of the new norm. That, I don't know that if everyone has figured out what to do with yet and so our goal is to experiment and decide one, can we consume the information fast enough to take an action? And then how do we build through AI platforms that allow us to be smarter in the world that we're living in today that is very, very unpredictable. >> We have Ben Gaddis, as president of T3 also part of the group that did the Trump and Dump video but he brings out a great point about using data and looking at the collective impact of information in real time. And this interesting, I was looking at some of the impact last night in this and Nordstrom's had a tweet about Ivanka Trump and apparently Nordstrom's stock is up so, is there a flaw in the algorithm here? What's the take on that? Because in a way, that's the reverse of the bullying, he's defensive on that one so, is there a sentiment of him being more offensive or defensive? >> It's pretty standard. So, we're starting to see a pattern. So, what happens is that actually, the Nordstrom stock actually did go down right after the tweet. And so, we saw that that's a pattern that's typical when the president tweets negatively. When he tweets positively, we don't see that much of a bump. When he tweets negatively, typically the stock drops anywhere between one and four percent, sometimes even greater than that. But it rebounds very quickly. So, a big part of what we're trying to do with the bot and the algorithm is understand how long do we hold, and what is that timeframe before people actually come back to more of a rational state and start to buy back a stock that's valuable. Now what's really interesting, you mentioned, you know, the algorithm and whether there's a flaw in it, we learned something very interesting yesterday about Nordstrom's. So, the president tweeted and in that tweet he talked negatively about Nordstrom's, but he also talked very positively about his daughter, Ivanka. And so, the algorithm actually picked up that tweet and registered it as 61.5% positive. So, it didn't trade. So, we actually got kind of lucky on that one. >> You bring up a good point, and this is something that I want to get your thoughts on. You know, we live in an era of fake news, and it's just Snapchat just filed IPO filing to make a change in their filing to show that Amazon is going to be a billion dollar partner as well, which wasn't in the filing. So, there's a line between pure, fake news, which is essentially just made up stuff, and inaccurate news, so what you're kind of pointing out is a new mechanism to take advantage of the collective intelligence of real time information. And so this is kind of a new concept in the media business. And brands, who used to advertise with big media companies, are now involved in this so, as someone who's, you know, an architect for brand and understanding data, how are brands becoming more data driven? >> Well, I think what brands are realizing is that they live in this world that is more real time, that's such a buzzword. But more real time than I think they even thought would ever be possible, the fact that someone like the president can tweet and have literally cut off billions of dollars in market cap value in a moment's time is something that they have to figure out. So, I think the first thing is having the tools in place to actually monitor and understand, and then having a plan in place to react to things that are really quite unpredictable. So, not only, I don't think that you can have a plan for everything but you have to at least have a plan for understanding how you get legal approval on a response. Who would be responsible for that. You know, who do you work with, either through partners or inside of your organization to, you know, to be able to respond to something when you need to get back in promoting, you know, minutes versus hours. The thing that we don't hear people talk near as much about is, our goal was to see how close we can get to the information so we can zoom the data from Twitter's fire hose, so we get it hopefully when everyone else does. And then our goal is to take an action on that quicker than anybody else, and that delta is where we'll make a profit. What's really interesting to me is that the only person closer to that information than the president is Twitter. >> Ben, great to have you on, appreciate it, love to get you back on as a guest. We love to talk about is our model here, it's looking angle, it's extracting the signal from the noise. And certainly the game is changing, you're working with brands and the old model of ad agencies, this is a topic we love to cover here, the old ad agency model's certainly becoming much more platform oriented with data, these real time tools really super valuable, having a listening engine, having some actionable mechanisms to go out there and be part of and influence the conversation with information. Seems to be a good trend that you guys are really riding. Love to have you back on. >> We'd love to be back on, and thanks for the time, we enjoyed it. >> That was Ben Gaddis, who's the president of T3, the firm behind the Trump and Dump, but more importantly highlighting a really big megatrend which is the use of data, understanding its impact, having some analysis, and trying to figure out what that means for people. Be right back with more after this short break. >> [Female Announcer] Why wait for the future? The next evolution in IT infrastructure is happening now. 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Unify your data center with Cisco UCS. >> Male Announcer: You're listening to Cube Fridays, brought to you by Silicon Angle Media. Now, here's John Furrier. >> Okay, welcome back to the Silicon Valley Friday Show, I'm John Furrier, great show today. Our next guest is Dan Rosenbaum, who is the editor of Wearable Tech Insider, Media Probe, been around the industry for years, been a journalist, reporter, editor, variety through his career, knows the tech business certainly on the infrastructure level with the device. Okay, welcome to the show, great to have you, thanks for being available, he's in New York so, Palo Alto, New York connection here. >> Yeah, we got about maybe an hour or so of snow left. But you know, it's February, it does this in New York. >> Great to have you on, we were just talking on our earlier segment before the break about the guy who created the Trump and Dump video which is a chat bot that goes out, looks at Donald Trump's tweets, and then identifies if there's a public company, shorts the stock, and donates to save puppies. So, they're not doing it for profit but they're, you know, they have their intelligence and listening, and we were just riffing on the concept of that there's been fake news and inaccuracy and a new dynamic that's impacting the media business, which is real time information, data, and certainly the world that you're in with Wearables, this new internet of things, which is hard to understand for most common people but it's really the AI new connected network. It's really impacting things, certainly how people get information, how fast they create data, and it's changing the industry landscape certainly from a media standpoint. You get on TV and the mainstream... >> It really is. When the press secretary stood up and said that that the administration sees the media as the adversary, you know, everyone got sort of upset about it but you know, in a lot of ways it's true. That's a fitting way that the media and any administration, any power structure should be facing each other. There's been such a hop in the media to report the truth as best as it can determine and as accurately as it can. Now, there are differing impacts depending on which sphere you're in, and in politics there's always going to be sort of the tension, well, we think, we look at these facts and we think that and we look at those facts and think the other. >> I think ultimately this new formats that are developing really comes back down to I would add to that as trust. This is a collision course of a complete re-transformation of the media landscape and technology's at the heart of it and, you know, you're in the middle of it. With Wearables, you're seeing that at the edge of the network, these are new phenomenons. What's your take on this new trend of, you know, of computing? And I'm not saying singularity, as Ray Kurzweil would say, but you know, ultimately, it is going down to the point now where it's on your body, potentially in your body, but this is a new form of connection. What's your thoughts on this? >> 12 years ago, I was at the party where they launched MSNBC, and I ran into Andrew Lack, who's the CEO of MSNBC at the time, and asked him, why NBC was cutting this collaboration deal with Microsoft, because remember that's how it was started, when there wasn't any means for the news to go upwards. There was no way for citizen news gathering to be represented on this Microsoft-NBC co-venture. And Andrew actually looked down his nose at me, sneered, and goes, "Who in the world would want "people to be contributing to the news?" Well, now we're 10 or 12 years later and as you say, Snapchat and Skype, and all these mobile technologies have just transformed how people get their information, because they're now witnesses, and there are witnesses everywhere. One of the big transformations in, or about wearable technology is that computing infrastructure has moved from islands of stand-alone, massive computers, to networks of massive computers to stand-alone PCs, to networks to PCs, and now the model for computing and communication is the personal area network, the idea of sensor-based technologies is going to change, or already has changed the world of news, it's in the process of changing the world of medicine, it's in the process of changing the way we build houses, the construction business, with the smartphone, the way that we build and relate to cities. >> So, we're here with Dan Rosenbaum, he's the editor of Wearable Tech Insider, but more importantly he's been a tech insider in media going way back, he's seen the cycles of innovation. Love your point about the flowing conversations coming out of the MSNBC kind of executive in the old broadcast models. I mean, I have four kids, my oldest is 21, they don't use, they don't really care about cable TV anymore so, you know, this is now a new narrative so, those executives that are making those comments are either retired or will be dinosaurs. You now have Amazon, you have Netflix, you have, you know, folks, trying to look at this internet TV model where it's fully synchronous so, now you have collective intelligence of vertical markets that have real time ability to surface information up to bigger outlets. So, this collective media intelligence is happening, and it's all being driven by mobile technology. And with that being said, you know, you're in the business, we've got Mobile World Congress coming up, what is that show turning into? Because it's not about the mobile device anymore, the iPhone's 10 years old, that's a game changer. It's growing up. The impact of mobile is now beyond the device. >> Mobile World Congress is all about wireless infrastructure. It goes from everything from a one millimeter square sensor to the national grade wireless network. But what's really cool about Mobile World is that it's the place where communications or telecom ministers get together with infrastructure carriers, get together with the hardware manufacturers, and they hash out the problems that won't resolve five, 10, 15 years down the road in new products and new services. This is the place where everyone comes together. The back rooms at Mobile World Congress are the hottest place, and the back rooms are the places that you can't get into. >> We're here with Dan Rosenbaum, who's an industry veteran, also in the media frontlines in wireless technology, I mean, wearable technology and among other things, good view of the landscape. Final point, I want to just get a quick comment from ya, I was watching on Facebook, you had a great post around Facebook is feeding you an ad for a $19 million staid-in, let's feel Connecticut. And then you said, "One of us as the wrong idea, so you must be really loaded." This retargeting bullshit on Facebook is just ridiculous, I mean, come on, this bad, big data, isn't it? >> (laughing) Yeah, I mean, the boast of Google is that they want to make, you know, ads so relevant that they look like content. Well, in the process to getting there, there's going to be misses. You know, if this real estate agent decides that they want to hit everyone in my zip code, or everyone in my county, or whatever, and they wanted pay the five dollars so that I'd see that video, god bless 'em, let 'em do it, it's not going to make me, it's not going to overcome any kind of sales resistance. I don't know that I wanted to move up to Litchfield, Connecticut anyway, but if I did, sure, a $19 million house would be really nice. >> You could take a chopper into Manhattan, you know, just drop into Manhattan with a helicopter. >> They would want to take it. >> Alright, we can always take the helicopter in from Litchfield, you know, right at the top of your building. Dan, thanks so much for spending the time, really appreciate it, and we'll have to bring, circle back with you on our two day Mobile World Congress special in Palo Alto we'll be doing, so appreciate the time. Thanks a lot. >> Love to do it, thanks for having me. >> Okay, that was Dan Rosenbaum, really talking about, going down in the weeds a little bit but really more importantly, this Mobile World Congress, what's going on with this new trend, digital transformation really is about the impact to the consumer. And what's going on Silicon Valley right now is there's some hardcore tech that is changing the game from what we used to know as a device. The iPhone's only 10 years old, yet 10 years old, before the iPhone, essentially it was a phone, you made phone calls, maybe surf the Web through some bad browser and do text messages. That's now completely transforming, not just the device, it's the platform, so what we're going to see is new things that are happening and the tell signs are there. Self driving cars, autonomous vehicles, drones delivering packages from Amazon, a completely new, digitized world is coming. This is the real trend and we're going to have an executive from Intel on next to tell us kind of what's going on because Intel is at the ground zero of the innovation with Moore's Law and the integrated circuit. But they're bringing their entire Intel inside as a global platform, and this is really going to be driven through a ton of 5G, a new technology so, we're going to dig in on that, and we're going to have a call-in from her, she's going to be coming in from Oregon and again, we're going to get down to the engineers, the people making the chips under the hood and bringing that to you here on the Silicon Valley Friday Show, I'm John Furrier, we'll be right back after this short break. >> My name is Dave Vellante, and I'm a long-time industry analyst. So, when you're as old as I am you've seen a lot of transitions. Everybody talks about industry cycles and waves, I've seen many, many waves. I've seen a lot of industry executives and I'm a little bit of an industry historian. When you interview many thousands of people, probably five or six thousand people as I have over the last half of the decade, you get to interact with a lot of people's knowledge. And you begin to develop patterns so, that's sort of what I bring is an ability to catalyze a conversation and, you know, share that knowledge with others in the community. Our philosophy is everybody is an expert at something, everybody's passionate about something and has real deep knowledge about that something. Well, we want to focus in on that area and extract that knowledge and share with our communities. This is Dave Vellante, and thanks for watching the Cube. (serene techno music) >> Male Announcer: You're listening to the Silicon Valley Friday Show with John Furrier. >> Okay, welcome back to the Silicon Valley Friday Show, I'm John Furrier, we're here in Palo Alto for this Friday Show, we're going to go under the hood and get into some technology impact around what's going on in the industry, specifically kind of as a teaser for Mobile World Congress at the end of the month, it's a big show in Barcelona, Spain where the whole mobile and infrastructure industry comes together, it's kind of like CES, Consumer Electronics Show, in the mobile world but it's evolved in a big way and it's certainly impacting everyone in the industry and all consumers and businesses. This is Intel's Lynn Comp and this is Intel who, we know about Moore's Law, we know all about the chips that make everything happen, Intel has been the engine of innovation of the PC revolutions, it's been the engine of innovation now in the Cloud and as Intel looks at the next generation, they are the key player in this transformation that we are seeing with AI, wearable computers, internet of things, self driving cars, AI, this is all happening, new stuff's going on. Lynn, welcome to the program. >> Thank you so much, it's great to be here. >> So, you're up in Oregon, thanks for taking the time to allow us to talk via phone, appreciate it. Obviously, Intel, we've been following you guys, and I've been a big fan since 1987, when I almost worked there right out of college. Went to Hewlett Packard instead, but that's a different story but, great, great innovation over the years, Intel has been the bell weather in the tech industry, been a big part of the massive change. But now, as you look at the next generation, I mean, I have four kids and they don't watch cable TV, they don't like, they don't do the things that we used to do, they're on the mobile phone all the time. And the iPhone is now 10 years old as of this year, this early winter part of this, Steve Jobs announced it 10 years ago. And what a change has it been, it's moved from telephone calls to a computer that happens to have software that makes telephone calls. This is a game changer. But now it seems that Mobile World Congress has changed from being a telephone centric, voice centric, phone device centric show to a software show, it seems to be that software is eating the world just like CES is turning into an automotive show. What is Mobile World Congress turning into? What's the preview from Intel's perspective? >> You know, it's a really fascinating question because many years ago, you would only see a bunch of very, very intense base station design, you know, it was very, very oriented around wireless, wireless technology, and radios, and those are really important because they're an engine of fabric that you can build capabilities onto. But last year, just as a reference point for how much it's changed, we have Facebook giving one of the main keynotes. And they're known for their software, they're known for social media, and so you'll see Facebook and Google with an exhibitor there last year as well, so you're not just seeing suppliers into the traditional wireless industry for equipment and the operators who are the purchaser, you're seeing many, many different players show up very much like how you said CES has a lot of automotives there now. >> Yeah, we've seen a lot of revolutions in the computer industry, Intel created a revolution called the Computer Revolution, the PC Revolution, and then it became kind of an evolution, that seems to be the big trends you see, that cycle. But it seems now that we are, kind of been doing the evolution of mobile computing, and my phone gets better, 10 years down to the iPhone, 3G, 4G, LT, okay, I want more bandwidth, of course, but is there a revolution? Where can you point to? Where is the revolution, versus just standard evolutionary kind of trends? Is there something coming out of this that we're going to see? >> That is such a great question because when you look at the first digital wireless technologies that came out and then you had 2G, and 3G, and 4G, those really were evolutionary. And what we're finding with 5G that I believe is going to be a huge theme at Mobile World Congress this year is it is a completely different ballgame, I would say it's more of an inflection point or very revolutionary. And there's a couple reasons for that, both tie up in how ITU is specifying the use cases, it's licensed and unlicensed spectrum which is kind of unusual for how it's been done if you will get 2, 3, and 4G. The other thing that's really interesting about 5G, that it's an inflection point is there's a lot more intelligence assumed in the network and it helps address some of the challenges I think that the industry is seeing a different industry with some of the IoT promise we'll roll out where some of the macro design networks that we'd seen in the past, the ability to have the right latency, the right bandwidth, and the right cost matched to the needs of a specific IoT use case was much more limited in the past and I think we'll see a lot more opportunities moving forward. >> Great, great stuff, we're with Lynn Comp with the Network Platforms Group at Intel. You know, you bring up some, I like the way you're going with this, there's so much like, impact to society going on with these big, big trends. But also I was just having a conversation with some young folks here in Palo Alto, high school kids and some college kids and they're all jazzed up about AI, you can almost see the... I don't want to say addiction but fascination and intoxication with technology. And there's some real hardcore good tech going on here, could you just share your thoughts on, you know, what are some of those things that are going to, 'cause I mean, 5G to wireless, I get that, but I mean, you know, these kids that we talked to and folks that are in the next generation, they love the autonomous vehicles. But sometimes I can't get a phone signal, how are cars going to talk to each other? I mean, how does this, I mean, you've got to pull this together. And these kids are like, and it's into these new careers. What's your thoughts on what are some of the game changing tech challenges that are coming out of this? >> Let's just start with something that was a great example this year 'cause I think I have kids a similar age. And I had been skeptical of things like even just virtual reality, a augmented or virtual reality. And then we had this phenomena last summer that really was just a hint, it wasn't really augmented reality, but it was a hint of the demand that could be met by it and it's Pokemon Go. And so, an example with that, I mean, it really wasn't asking a significantly higher amount of data off the network, but it did change the use profile for many of the coms service providers and many of the networks where they realized I actually have to change the architecture, not just of what's at the edge but in my core network, to be more responsive and flexible, you are going to see something even more so with autonomous driving, even if it's just driver assist. And similar to how the auto pilot evolution happened, you're still going to have these usage patterns where people have too many demands, too much information coming at them, they do want that assistance, or they do want that augmented experience to interact with a brand, and it's going to really stress the network and there's going to have to be a lot of innovation about where some of these capabilities are placed and how much intelligence is close to the user as opposed to just a radio, probably going to need a lot more analytics and a lot more machine learning capabilities there as well. >> We had a segment earlier in the show, it was the entrepreneur who created the Trump and Dump chat bot that would go out and read Donald Trump's tweets and then short all public companies that were mentioned because the trend is, they would do that, but this is an example of some of these chat bots and some of this automation that's going on and it kind of brings the question up to some of the technology challenges that we're looking out at the landscape that we're discussing is the role of data really is a big deal and software and data now have an interaction play where you got to move data around the networks, networks are now ubiquitous, networks are now on people, networks are now in cars, networks are now part of all this, I won't say unstructured networks, but omni-connected fabric. So, data can really change what looks like an optimal architecture to a failed one, if you don't think about it properly. So, how do you guys at Intel think about the role of data? I mean, how do you build the new chips and how do you look at the landscape? And it must be a big consideration, what's your thoughts about the role of data? Because it can happen at any time, a tsunami of data could hit anything. >> Right, the tsunami of data. So for us, it's any challenge, and this is just in Intel's DNA, historically, we'll get challenges as opportunities because we love to solve these really big problems. And so, when you're talking about data moving around a network you're talking about transformation of the network. We've been having a lot of discussions with operators where they see the data tsunami, they're already seeing it, and they realized, I have got to reconfigure the architecture of my network to leverage these technologies and these capabilities in a way that's relevant for the regulatory environment I'm in. But I still have to be flexible, I have to be agile, I have to be leveraging programmability instead of having to rewrite software every generation or every time a new app comes out. >> Lynn, thanks so much for coming on. Like we always say, you know, engine room more power, you can never have enough compute power available in network bandwidth, as far as I'm concerned. You know, we'd love to increase the power, Moore's Law's been just a great thing, keeps on chugging along. Thanks for your time and joining us on the Silicon Valley Friday Show, appreciate it. Thanks so much. >> Thank you. >> Alright, take care. Okay, this is Silicon Valley Friday Show, I'm John Furrier, thanks so much for listening. I had Ben Gaddis on, Dan Rosenbaum, and Lynn Comp from Intel really breaking it down and bringing you all the best stories of the week here on the Silicon Valley, thanks for watching. (techno music) (bright instrumental music)

>> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco at Twitter's world headquarters at the Data Privacy Day, a full day event of sessions and breakout sessions really talking about privacy. Although privacy is dead in 1999 get over it, not really true and certainly a lot of people here beg to differ. We're excited to have our next guest Jules Polonetsky, excuse me, CEO of Future of Privacy Forum. Welcome. >> Thank you, great to be here. Exciting times for data, exciting times for privacy. >> Yeah, no shortage of opportunity, that's for sure. The job security and the privacy space is pretty high I'm gathering after a few of these interviews. >> There's a researcher coming up with some new way we can use data that is both exciting, curing diseases, studying genes, but also sometimes orwellian. Microphones are in my home, self-driving cars, and so, getting that right is hard. We don't have clear consensus over whether we want the government keeping us safe by being able to catch every criminal, or not getting into our stuff because we don't trust them >> Right. [Jules] - So challenging times. [Jeff] - So, before we jump into it, Future Privacy Forum, kind of a little bit about the organization, kind of your mission... [Jules] - We're eight years old at the Future Privacy Forum, we're a think tank in Washington, D.C. Many of our members are the chief privacy officers of companies around the world, so about 130 companies, ranging from many of the big tech companies. And as new sectors start becoming tech and data, they join us. So, the auto industries dealing with self-driving cars, connected cars, all those issues. Wearables, student data, so about 130 of those companies. But then the other half of our group are advocates and academics who are a little bit skeptical or worried. They want to engage, but they are worried about an Orwellian future. So we bring those folks together and we say, 'Listen, how can we have data that will make cars safer? How can we have wearables that'll help improve fitness? But also have reasonable, responsible rules in place so that, we don't end up with discrimination, or data breaches, and all the problems that can come along?' [Jeff] - Right, cause it's really two sides of the same coin and it's always two sides of the same coin. And typically on new technology, we kind of race ahead on the positive, cause everybody's really excited. And lag on kind of what the negative impacts are and/or the creation of rules and regulations about because this new technology, very hard to keep up. [Jules] - You know the stakes are high. Think about AdTech, right? We've got tons of adtech. It's fueling free content, but we've got problems of adware, and spyware, and fake news, and people being nervous about cookies and tracking. And every year, it seems to get more stressful and more complicated. We can't have that when it comes to microphones in my home. I don't want to be nervous that if I go into the bedroom, suddenly that's shared across the adtech ecosystem. Right? I don't know that we want how much we sweat or when it's somebody's time of the month, or other data like that being out there and available to data brokers. But, we did a study recently of some of the wearables, the more sensitive ones. Sleep trackers, apps that people use to track their periods, many of them, didn't even have a privacy policy, to say 'I don't do this, or I don't do that with your data.' So, stakes are high. This isn't just about, you know, are ads tracking me? And do I find that intrusive? This is about if I'm driving my car, and it's helping me navigate better and it's giving me directions, and it's making sure I don't shift out of my lane, or it's self-parking, that that data doesn't automatically go to all sorts of places where it might be used to deny me benefits, or discriminate, or raise my insurance rates. [Jeff]: Right, right. Well, there's so many angles on this. One is, you know, since I got an Alexa Dot for Christmas, for the family, to try it out and you know, it's interesting to think that she's listening all the time. [Jules] - So she's not >> And you push the little >> Let's talk about this >> button, you know. >> Or is she not? >> This is a great topic to [Jules] -talk about because a sheriff recently, wanted to investigate a crime and realized that they had an Amazon Echo in the home. And said, 'Well maybe, Amazon will have data about what happened >> Right >> Maybe they'll be clues, people shouting,' you know. And Amazon's fighting because they don't want to hand it over. But what Amazon did, and what Google Home did, and the X-Box did, they don't want to have that data. And so they've designed these things, I think, with actually a lot of care. So... the Echo, is listening for it's name. It's listening for Alexa... >> Right. And it keeps deleting. It listens, right it hears background noise, and if it didn't hear Alexa, drops it, drops it, drops it. Nothing is said out of your home. When you say 'Alexa, what's the weather?' Blue light glows, opens up the connection to Amazon, and now it's just like you're typing in a search or going directly >> Right, right. [Jules] - And so that's done quiet carefully. Google Home works like that, Siri works like that, so I think the big tech companies, despite a lot of pain and suffering over the years of being criticized, and with the realization that government goes to them for data. They don't want that. They don't want to be fighting the government and people being nervous that the IRS is going to try find out information about what you're doing, which bedroom you're in, and what time you came home. >> Although the Fit Bit has all that information. >> Exactly >> Even though Alexa doesn't. [Jules] - So the wearables are another exciting, interesting challenge. We had a project that was funded by both Robert Johnson Foundation, which wants Wearables to be used for health and so forth. But also from a lot of major tech companies. Because everybody was aware that we needed some sort of rules in place. So if Fit Bit, or Jaw Bone, or one of the other Wearables can detect that maybe I'm coming down with Parkinson's or I'm about to fall, or other data, what's their responsibility to do something with that? On one hand, that would be a bit frightening. Right, you got a phone call or an email saying 'Hey, this is your friendly friends at your Wearable and we think >> showing up at your front door >> You should seek medical, you know, help. You would be like, whoa, wait a second, right? On the other hand, what do you do with the fact that maybe we can help you? Take student data, alright. Adtech is very exciting, there's such opportunities for personalized learning, colleges are getting in on the act. They're trying to do big data analytics to understand how to make sure you graduate. Well, what happens when a guidance counselor sits down and says, 'Look, based on the data we have, your grades, your family situation, whether you've been to the gym, your cafeteria usage, data we took off your social media profile, you're really never going to make it in physics. I mean, the data says, people with your particular attributes... Never, never... Rarely succeed in four years at graduating with a degree. You need to change your scholarship. You need to change your career path. Or, you can do what you want, but we're not going give you that scholarship. Or simply, we advise you.' Now, what did we just tell Einstein? Maybe not to take Physics, right. But on the other hand, don't I have some responsibility, if I'm a guidance counselor, who would be looking at your records today, and sort of shuffling some papers and saying, 'Well, maybe you want to consider something else?' So, either we talk about this as privacy, but increasingly, many of my members, again who are chief privacy officers if these companies, are facing what are really ethical issues. And there may be risks, there may be benefits, and they need to help decide, or help their companies decide, when does the benefit outweigh the risk? Consider self-driving cars, right? When does the self-driving car say 'I'm going to put this car in the ditch Because I don't want to run somebody over?' But now it knows that your kids are in the backseat, what sort of calculations do we want this machine making? Do we know the answers ourselves? If the microphone in my home hears child abuse, if 'Hello Barbie' hears a child screaming, or, 'Hey, I swallowed poison,' or 'My dad touched me inappropriately,' what should it do? Do we want dolls ratting out parents? And the police showing up saying, 'Barbie says your child's being abused.' I mean, my gosh, I can see times when my kids thought I was a big Grinch and if the doll was reporting 'Hey dad is being mean to me,' you know, who knows. So, these are challenges that we're going to have to figure out, collectively, with, stakeholders, advocates, civil libertarians, and companies. And if we can chart a path forward that let's us use these new technologies in ways that advances society, I think we'll succeed. If we don't think about it, we'll wake up and we'll learn that we've really constrained ourselves and narrowed our lives in ways that we may not be very happy with. [Jeff] - Fascinating topic. And like on the child abuse thing, you know there are very strict rules for people that are involved in occupations that are dealing with children. Whether it's a doctor, or whether it's a teacher, or even a school administrator, that if they have some evidence of say child abuse, they're obligated >> they're obligated. [Jeff] - Not only are they obligated morally, but they're obligated professionally, and legally, right, to report that in. I mean, do you see those laws will just get translated onto the machine? Clearly, God, you could even argue that the machine probably has got better data and evidence, based on time, and frequency, than the teacher has happening to see, maybe a bruise or a kid acting a little bit different on the school yard. [Jules] - You can see a number of areas where law is going to have to rethink how it fits. Today, I get into an accident, we want to know who's fault is it. What happens when my self-driving car gets into an accident? Right? I didn't do it, the car did it. So, do the manufacturers take responsibility? If I have automated systems in my home, robots and so forth, again, am I responsible for what goes wrong? Or, do these things have, or their companies have some sort of responsibility? So, thinking these things through, is where I think we are first. I don't think we're ready for legal changes. I think what we're ready for is an attitude change. And I think that's happened. When I was the chief privacy officer, at AOL, many years ago, we were so proud of our cooperation with the government. If somebody was kidnapped, we were going to help. If somebody was involved in a terrorism thing, we were going to help. And companies, I think, still recognize their responsibility to cooperate with, you know, criminal activity. But they also recognize that it is their responsibility to push back when government says, 'Give me data about that person.' 'Well, do you have a warrant? Do you have a basis? Can we tell them so they can object? Right? Is it encrypted? Well, sorry, we can't risk all of our users by cracking encryption for you because you're following up on one particular crime.' So, there's been a big sea change in understanding that if you're a company, and there's data you don't want to have to hand over, data about immigrants today, lots of companies, in the Valley, and around the country, are thinking, 'Wait a second, could I be forced to hand over some data that could lead to someone being deported? Or tortured? Or who knows what?' Given that these things seem to be back on the table. And, you know again, years ago, you were a good asterisk, you participated in law enforcement and now people participate, but they also recognize that they have a strong obligation to either not have the data, like Amazon, will not have data that this sheriff wants. Now, their Smart Meter and how much water they're using, and all kinds of other information, frankly about their activity at home, since many other things about our homes is now smarter, may indeed be available. How much water did you use at this particular time? Maybe you were washing blood stains away. That sort of information is >> Wild [Jules] - going to be out there. So, the machines will be providing clues that in some cases are going to incriminate us. And companies that don't want to be in the middle, need to think about designing, for privacy, so as to avoid, creating a world where, you know, whole data is available to be used against us. [Jeff] - Right and then there's the whole factor of the devices are in place, not necessarily the company is using it or not, but, you know, bad actors taking advantage of cameras, microphones, all over and hacking into these devices to do things. And, it's one thing take a look at me while I'm on my PC, it's another thing to take control of my car. Right? And this is where, you know, there's some really interesting challenges ahead. As IT continues to grow. Everything becomes connected. The security people always like to say, you know, the certainty attack area, it grows exponentially. [Jules] - Yeah. Well cars are going to be an exciting opportunity. We have released, today, a guide that the National Auto Dealers Association is providing to auto dealers around the country. Because, when you buy a car today, and you sell it or you lend it, there's information about you in that vehicle. Your location history, maybe your contacts, your music history, and we never would give our phone away without clearing it, or you wouldn't give your computer away, but you don't think about your car as a computer, and so, this has all kinds of advice to people. Listen, your car is a computer. There's things you want to do, to take advantage of, >> Right. [Jules]- New services, safety. But there are things you want to also do to manage your privacy, delete. Make sure you're not sharing your information in a way you don't want it. [Jeff] - Jules, we could go on all day, but I think I've got to let you go to get back to the sessions. So, thanks for taking a few minutes out of your busy day. [Jules] - Really good to be with you. [Jeff] - Absolutely. Jeff Frack, you're watching The Cube. See you next time. (closing music)