>> live from London, England. It's the queue covering a ws summat London twenty nineteen, Brought to you by Amazon Web services. >> We're at the A. W s summits here in London, at the XL Center there are thousands and thousands of delegates here looking to see the future for their own technologies on what Kyle will hold for them, as well as lots of the other established players here. There are plenty of startups. I'm just down the street and this is my co host, Dame Ellen. We're gonna be talking to a few of the startup founders who are with us here on the Cuban. It's great to have you here. So first up, Hu Pei jin, Who is that? The co founder of the three d mapping based service. And this is called Escape Technologies, but also chanting Jane. And you are the co founder. A swell founder, I believe is it found it found in co founder ofyour organization called Kwan. Now let me festival starts talking to Jan Di and about what you do because you're offering a service to financial services. Are you on helping them with machine learning? Teo, try and offer the best portfolio managers for wealth investment. How does it work? What you're offering? >> Yes, our platform basically allows traders, portfolio managers, asset managers who want to make smarter investment decisions to build machine learning models. To do this Theo idea is that data driven investing should help funds make more profits for themselves and their clients. But there's not enough data, scientists, King data scientist who can actually do more good for them. And we address this lack of talent by using a community of data scientist people who come from outside of finance to help them crowd to help fund managers crowdsource model, using their intelligence, their talent. So the process is really simple. Clients come to us with what we like to call an investment problem or a finance problem. We take that problem and convert it into a pure matter. And she learning problem. That's someone who is not from finance, can understand and soil >> so really interesting. You say that because I've spoken to other founders of other data companies who say, for example, be looking at the stars for their main bread and butter. But then Khun transfer those skills and astronomy to the financial sector and those types of people that you're trying to harness their skills. >> Yeah, exactly. So our community is made up of people who work at tech. Companies at Google and Amazon have sport off people who are putting graduate program and computer science and math machine learning, but don't necessarily know finance. And the idea is, can you make this problem than two problems? Can you make finance problem into problems that this community of data scientists really smart data scientists understand without needing to know finance? >> It's interesting that it lord, because ofthe a lack of of data scientists, Really? But do you think if you eliminate all the kind of heavy lifting out of what you do in the future, though, will be a need for fewer data? Scientists? >> I don't think we need to fut the scientist, but they wouldn't be a need for reform Toe have in house teams. They will basically be able to. A data scientist working in an unequal miss company should be able to solve problems of a finance company. The scientists working in uber should be able to solve problems for a hedge fund because we're building this translator that can allow knowledge from anywhere to be used to solve any kind of problems. >> Okay, let me talk to you because you do three d mapping services. Why do you think these are essential for technologies large and small? Going forward, >> Esso and every future industry in the future is going to have some autonomous aspect to it. So if you think about Atanas vehicles, ever think about delivery Jones. These are going to be machines. They're going to be acting autonomously in human like environments, and they're going to make decisions based on purely what they're observing with hardly human in between. So the only way that this can happen intelligently and safely is if those machines also have a human like understanding ofthe human like environment, just like you humans. So while we are providing these things, machines with Is that human like understanding and the first service that we're building towards that is a visual positioning system to provide the machines with the ability to answer the question. Where am I now? The only way that you can provide official positioning system is this. If you also have a visual map off of the world on this math needs to be updated in real time. So for every future industry, having a real time update version off the real world is fundamental. That's the pinnacle around. Every single every single decision that autonomous agent is going to make is going to be based upon this map. >> So this map was really value Peace Corps piece, um, that we're building. So I've often wondered if people talk about autonomous cars, but we don't have things like autonomous cart's right now. People will say, Well, an Amazon warehouse would have that. But there, following beacons or stripes, Yeah, what you're talking about is potentially taking >> us to the point where you can break that barrier. Is that fair? Exactly. And for warehouses, I would forever advice to use those beacons. Because warehouses are pre pre massaged environments, you define what the environment looks like. Whereas humans we walk around in cities, in nature and all these places that are not pre processed, we have to take our cues from the visuals that we observe. So if you go back to your hometown, for example, you observe a Starbucks logo Starbucks logo and observe our street sign, you might be able to very opposition based on those visual visual cues. Even though the environment itself was not pre processed to provide those cues, the cues are already in the nature. So >> we've heard that there have bean in these trials that have bean accident. There's a limit that is >> Oh, yeah, totally. So at the moment, they're sure are accidents, But you are a human. You can navigate properly with any human environment, using your visual sense it your eyes. Therefore, any machine will, in the future only need that visual sensor as well. So only a camera to navigate around the world were seeing great great progress on the neural networks, deep learning as well as on the geometry and visual image processing, like the type of computer vision that we do that are making so much progress that guaranteed a couple of years from now, the devices will have the understanding off the world like humans do. And we'LL be able to make decisions even better than humans do because they don't got there. They don't get tired. They don't need coffee. S o. B. Guaranteed. More safe than any human knowledge. It's Sunday, and you probably hate the term robo investing, right? But but it sounds like you're doing that form of machine investing for and with hedge funds is that isn't fair. And is your background finance data science or both? >> Both. Actually, I studied engineering, but I started working as a trader of infidelities trading company in Chicago. On that I started with them. We were very old school discretionary, you know, a couple of very senior guys who were making everything based on their past experience and that contusion about the market. On my time with them, he started shifting from this manual human process driven trading to something that was more systematic, inconsistent again. That's where the whole idea >> for all >> Kwan came from. I saw firsthand the benefits that making your trading more data driven more model and algorithms driven could have >> unique. You probably hate this trump to your unicorn, but I'm guessing you guys have no it shop is You're right. It is in the cloud. Is that writer OK, >> it is, you know, straight onto the cloud todo in that started. You didn't exist before. >> Yeah, yeah, Waylon Street in the club. >> And you got a team of developers. They program infrastructure. Totally. >> Yeah. We have a team off for developers and the city of totally tech team of five based out of India. We have a developed sky who basically runs everything for us. Our website, Our platform where the data scientist party prision where our clients see the mortals where client fronts for data to us and where our machine learning computations run >> right three t mapping used to buy a box the Unix box, maybe get a database mother software. Yeah, so we're in scale were thought of as well, right? So when we what you need is the process. If you want to create a three d map off even a city but we have to do is run eight hundred GPS in parallel, blasting through imagery data. Now, this is impossible. If we as a starter had to buy a GPU wreck right from the bat, we would have been bankrupt even before we started. So, like being able to spin up GPU servers in the cloud and also killing them after we're done with them say there's a lot of money but also provides so much flexibility for us to do prototyping and two on DH to make everything affordable and east implement with very, very small team of very talented system. >> It's a real kind of pick and mix approach. Just what kind of services do I need to get off the shelf? And then it happened to you? >> I think one of the great things that a US has been able to do infrastructure used to be a very dusty and tangled industry on one of the beauties that Davy was able to do is actually product eyes, product, eyes, infrastructure. So you can now actually pick and choose different products from the idea of a library and put them together, connect them, tied him up very, very cleanly. With a very small team, I create something that is just accedes. Any expectations from a start of twenty years ago. So why, why eight of us? A lot of other clouds out there who has got a good cloud. Microsoft has a big cloud. Why did you guys migrate or moved to eight of us not moved to start with a W s. How was that decision made? >> I mean, we started with eight of us because we were gonna start a program a date afterwards. But then we just really liked the support that we got a way. We had access to someone twenty four seven. We had a dedicated person who was helping us on DH. We were just starting out. So the first time interacting with a cloud infrastructure, uh, the support was greater than the pricing will go great. For a start, it would have to say that's just a start of ur cost sensitive and the ability to turn on on and off services as and when we need them. I think that was fantastic. >> Does it concern you that we've heard a lot about how the cost of services has come down quite a lot? There's a lot of Costco going, but in the future, if you're overly reliant on your provider, can that put you into a corner? >> I mean, you get into troubles if your spotify skill, but as a start of the environment that ate us created for startups to flourish, is incredible. The amount of I think you have the same, like we receive a huge amount of credits just for starting. So if you raise a seed round of money which is, let's say, one million U. S. Dollars. US puts one hundred thousand worth of credit. On top of that, that's ten percent extra funding for free provided. Wait. Oh, yes. Furthermore, they have this great architects. The help you out with all the questions that you might have if this is the first time that you are actually designing a whole our detector around a data processing apartment or an FBI or a Web platform? Very, very supportive. What was that? What's the one thing a ws would could do to make your life easier? If you're sitting here with Andy Jassy, what would you tell him? >> I mean, it's already fantastic. It's made our life so much easier. I really don't think of anything that could have gone better. >> Really? Nothing. I mean, you had reduced the cost even way prices. >> Okay. Well, thank you so much for talking to us about your experiences here on the Cube. Who? Heiner. Thank you. Co founder of Escape. And also it'LL really, Jane, it's really be fascinating to hear how you've grown your businesses. So I really appreciate you joining us here with me. Damayanti here at eight Ws summits in London

>>Live from the Mandalay convention center in Las Vegas, Nevada it's doc cube at IBM insight, 2014. Here are your hosts, John furrier and Dave Volante. >>Okay. Welcome back everyone. We are here. Live in Las Vegas for IBM impact. This is the cube special presentation at IBM insight inside the digital experience. IBM insight go. Social media lounge. Uh, the social media gurus are here. John furry with David. Um, that's playing off the joke. We're just sharing on Twitter, but seriously, we're here. If I didn't see this on the noise, my coast, Dave latte, next guest Marsha Cola year. Who's the managing director of impact ingenuity at Marsha Marsha. Yes, that's your Twitter handle is awesome. Welcome. Welcome back. Welcome back. >>Well, thanks. It's thrilled to be here. >>So we were just joking about Halloween and we're going to be a social media guru. It's a little bit of a meme going around the internet. I mean, there is no social media guru. I mean, you can't really be a guru with developing technology. You can be a practitioner. I mean, I mean, guru, what is a social media? What is a social media guru? This, >>This is where, because I offered that. I would answer any question you ask me, you can ask me those things. Sure. Well, I think that's the problem. I think that's why it'd be a fabulous Halloween costume. I'm going to think about doing that one too, because people seem to be know to these folks. So following them to the ends of the earth, because of something that they sit on, social media, I mean that, that's a kind of a scary concept, but Google glass >>As well. I mean, I mean, I'm not going to go there. Um, but let's talk, let's go in into that, that theme. I mean, honestly, you know, Jeff Jonas was just on he's awesome. We always get in the weeds. He's a fun character to talk to, but he's super smart as we're on this G2 thing, observation space, but we're all internet of things, right? I mean, it reminds me of that book is to read to my kids thing one and thing two, you know, we, all things we're all in another thing. So what do you see as that impact to, uh, this digital transformation where not only are the humans connected to the machines, the data that they're exhausting or sharing or streaming, but the machines are connected and collecting as well. How is that going to change? What's your view on all this? >>While I have been in the technology sector, most of my, uh, most of my life, uh, and I appreciate and enjoy the technology. I never lose sight of the fact that this is about the people it's about us actually working together of actually learning together, doing whatever the hell it is we're needing to do. So if all of my appliances are actually then taking care of the mundane, if my water softener system is actually getting the water put in and getting delivered on the right day, you know, all, all the better. If the, if the toaster is alerting me to some sort of news, I'm thrilled. I love the idea of the technology. Actually being able to take care of all that stuff that we never wanted to do in the first place, but the technology has been so lousy over the last couple of years, actually forever, uh, that we've had to do this stuff because the technology isn't doing it for us. >>Sure. I was a patient out in the customer space because that's, you know, that's more of the home example, but even business now seems to be early innings. I mean, people are kicking the tires. You know, we've talked to all the gurus coming up here who are the tech side, IBM and customers. And the reality is we're all pro data, which we all kind of see that obvious social data and, you know, big data analytics, certainly helpful, but this transformation people are now really changing how to operate, operationalize their business with it. It's a huge daunting task and it's scary. Um, some people are like, whoa, I don't want to do it. Or, Hey, I'm jumping in. I'm cool. Is there a cool factor? Is there a scared factor? What's your, what's your observation from mountain talking to everyone out in the, in the marketplace? >>Well, first I would, I'll totally bash the, the idea that this is only a consumer play or that it doesn't apply to businesses. Think of all the, uh, the mundane and ridiculous things we have to do at work because they're not being taken care of us. We aren't taken care of for us by our desks. If you want to look at that way or our computers, I loved hearing about the, the new, uh, uh, pairing of, uh Wayblazer and, you know, Watson and the idea of the travel being taken care of us, what we discover because of the data that we're putting off each and every moment is their systems around us all the time that actually know our preferences, know how we would be handling this, but yet they don't do anything about it. So the idea that we can actually move forward in that way should be just as applicable to our business. Uh, a manager should not have to actually be asking some of the questions that they're asking the HR department is need to be asking how you're doing. It's evident by all the things that you put out into the world. And by just actually attending to what's going on, we have a huge opportunity to get back all that time that we've been wasting all these years. I'm just a stupid >>And just to what's. So what's the bottleneck is a fear security, oh, we don't want privacy. Marcia will get offended. If we tweet her, she knows that we know that she tweeted that. I mean, that's, that's a concern. People have, it seems to be, is it? Yeah. Well, look, go back up, >>But why is it a concern? It's because the people who've been doing it early are doing it horribly. I mean, they're doing it in not respectful ways. There isn't actually a real thought about how would I be okay with this doing? And then those are we're. So ahead of the curve, maybe because of the guru status, some of these social media, maybe that maybe that's the reason, >>Just look at the government, they were big data gurus and they screwed up that that whole Snowden thing was all like, Hey, just ask us, we'll give you our email addresses. You can search my email, have a nice day. >>It's a very different message. It's a very different conversation. It's a very different question. It's a very different level of respect that we have from one person working with another. I'm actually talking with people as opposed to at them. And instead of just making assumptions of actually participating, I mean, the idea that engagement is goal just implies that we haven't been engaged all these years. We haven't been thinking we haven't been doing, I haven't met. I personally, haven't met a really dumb person. It, you know, and years, and yet everything I do at would imply that we're, we're too stupid to be able to really think and act and, and be thoughtful about it. >>So you're an influencer. Um, you're out here in the digital sphere and you are, you're hearing influencer. Um, I mean, whatever you define it. Well, it's, I guess if they say so, if you are a VIP influencer, we'll go with that. Um, >>Digging on your Twitter stream here. Fantastic. >>Working on it. So share this law, you know, we'd love, we'd love to hear your stories cause you last year you were awesome with the cube. We'd love, love JV. Give us the update. What's going on with, sorry. We started together Ted at IBM conference. You super busy. Um, what's going on share with the folks out there. Some of the things you've been even into what your what's working show some, you know, some stuff that didn't work, what's going on, what's happening? What are you, what are you doing? What are you worried? All right, >>John, if you're going to ask them, I'm telling you you're really, if you're really ready, Don Damian, probably a little after I saw you last time after I was visiting here that, uh, our world's falling apart. And if all of us actually don't get on that. If we don't actually start figuring out how to use the precious time we have the, the precious money we have, the, the roles we have in our organizations, the resources at our disposal, our brains for good, not evil. I'm not so sure about the world that my son is going to be inheriting for example. And, uh, I'm, I'm at a point in my life where I realize, I, I know a heck of a lot in the world. I have a lot of skills, everybody. I know. I look at these people around me having tremendous skills. And instead of us just sort of churning out the butter one more year, uh, we best, we best be thinking about what can I do given what I have of my time and my resources, my skills, or whatever that is and apply that to what I have influence over and be able to make as much difference. >>Are we talking about God's last offer here, the sustainable world, or what's actually on all? >>Oh, you're not at the time that the timing is perfect too. If you think about it, don't seriously. >>What are we talking about? The deterioration of our planet? We're talking about social condition. Yes, >>I, well, I mean, I can go on and >>On about money return. I can, I can entertain for hours. You just made. The comment >>I made is that no matter where we look, that that scientists have pointed out that we're past the point of no return with our climate. We, uh, we look at the, uh, at the deterioration of the planet around us. I happen to live in the woods and I mean, deep in the woods and you can, you can see the change of how much rain is coming down. That didn't, I mean, I, I'm not, my intent here is not to talk about all the, that the problems around us. We all actually feel them, even if we're not acknowledging them, what I see is the wasted opportunity of us, not actually, re-examining what we're choosing to do and figure out how, whatever it is we're capable of doing could actually be helping instead of bringing it up. So how should people, let's say, people want to know that's good, but I just wanted to frame it. So let's >>Take people want to, so let's say that resonates to somebody in the audience. What should they do? How should they start pick a passion? And they >>Have, um, I mean, I, my, my approach to all the change work I do and have been doing with corporations for the last 20 years is actually not additive. It's not asking the question. What more could I do? Because that's usually what keeps people from doing it. I asked the question, what's keeping me from doing what I've always known needed to be done. So in, in our communities, you know, my experience is everybody knows who it is that could use some assistance, not in a handout sort of way in a reaching out and caring way of asking of, of having a conversation, a participating, and to be able to step back and ask that question. What's keeping me from doing that. We know what needs to be done, but we're not doing it. So how can I say, oh, well, what's keeping me from doing it. I don't have time to do it. Okay. Well, what can I do to actually just get a little bit more time to do something that matters in the world? So that that's the most, very, >>Very basic level. It could be slowly be that it's, >>It's less Twitter. It could also be a re-evaluating how much time I'm spending at work on stuff that could be automated. I mean, going back to this whole conversation about automation, it is to ask those questions. What I can do. That's just about time. Um, >>I, yeah, that is one of the biggest objections I don't have time. Right? >>Yeah. So what I find is when I talk about, uh, global health actually, is that when we look at the idea of health, not as in just exercising more or just eating, right, we're talking about fiscal health, we're talking about, uh, creating a world that is just, uh, a healthier place. When I ask people those questions, most of them can say, well, yeah, this isn't, this is important to me, but I don't know what to do about it. So one is, as you absolutely said, is finding, finding those passions and be able to figure out what you're going to do. But more importantly, to ask yourself that question, when am I going to do this? If not now, I feel like I'm, I'm falling. Like I, uh, I'm Mike is falling out. Let me, let me get that. >>Well, we chit chat a lot of hair. Yeah. Yeah. So I think, okay. So we're talking about different ways to find time. >>Um, Dave, I mean, I think it's a great time. I mean, the passionate thing, passionate thing is where the keyword is contributing, right? So like, I think it's a good time because I have, we, I, we both Dave and I both have four kids. So we see the new generation in their minds all the time because we're driving around, but they're impressionable right now is the old expression is you can grab the play though, and you can shape it. You can act, we can actually, as leaders and mature experience, instant people that have some skills in computing, we can influence like stem. We can influence women in tech. We can influence computer science curriculums or get influenced modern society because the new generation is coming in and they're natives, they're adopting and they're thirsty for leadership, but I don't think that they're seeing it. So I think there's really a good time. You've seen the Kickstarter crowdsourcing stuff is really becoming a part of this new tribe. So I believe the gravity around making things happen is participation, collaboration and data. Data is knowledge, endorsement, social proof. These are concepts that are easily transferable. If you can just, if you just wake up and do it. So I think, you know, >>If you just wake up and do it everywhere about, so Y Y if you wake up every day, why aren't you doing it today? >>We have Craig brown on earlier, he's doing $25,000 investments for kids to start companies, you know, whether the inner city kids. And that's pretty cool. I mean, so, you know, this is, this is the democratization piece, but in a connected network, it's frictionless communication. I mean, hell Twitter, overthrew governments. So you can have solidarity, peaceful solidarity as well as other rev revolution. So I think that's a very doable thing versus just checking the Basel. I volunteer to do something. And I think that has been more of like a peace Corps. I helped people. >>Uh, and I'm personally, I asked this question of everybody that I asked her, actually asked two questions of everybody I work with now. Uh, one of them is what can you not do? What can you not, not do actually. So if you, if you think to yourself, if I look back on my life, if I look back on my life, what is it that I thought to myself, oh, I didn't have time for that. Or I couldn't do it. You we've all heard that, you know, what do you want on your tombstone? However, that works. But I find that everybody, I know, think it has a burning need to be doing something useful in their lives. It's not just mission driven. It absolutely. It's a purpose. It's a connecting with, with connecting with people who are helping to move the world forward. And I just stopped. And I said, even in a business context, I say, you know, now it's time. We're kind of out of time. Get on with it, >>Please. The clock is ticking. Well, Jeff Jones was talking about the asteroid thing to geospatial smart geeky conversation. But the key thing out of that was better focus of finite resources. And that really comes down to the fundamental better decision-making. I mean, we, my wife says, so our kids will make better decisions. I mean, that's a mother talking to the kids, but that's our life now. So like, if we can make better decisions, that ultimately is the big data opportunity from social change to play to business. >>And then the second question absolutely, absolutely agree. Everything you said. I, the next big question I asked is what are you doing to improve the world? Now? I would say 50% of the people I say, just give me this completely deer in the headlights. Look, what do you mean to save the world or to improve the world, to change world? However you want to frame that. But I haven't met anybody in years that isn't interested in truly contributing, leaving the world a better place than they came into. And that's no matter what their, their demographic makeup is. That's no matter the community they live in, no matter what they're doing, people have a fundamental desire to do better. And so I asked that of every business person, every corporation I work with. And that's one of the things I love about this whole idea of, you know, building a smarter planet that should tie to every single thing we do. And, and when we lose sight of that, we see that, no, I think >>This is a really great conversation to have because it's, it's something that's emerging. And, you know, again, there's some obvious examples, oh, pebble watch crowdfunding. But if you look at really impactful things like open source software, you are seeing the playbook. I mean, the playbook is, you know, people can participate at any level. So the, the fear of getting this kind of group going is that I'm too busy or, you know, you can, the contribution doesn't have to be game changing for an individual could be one small piece of the puzzle. It could be small contribution. Someone might do more heavy lifting than the other. That's an open source concept. We've seen that work huge. A lot of leverage, a lot of participation. Um, so I think that's something that I really haven't seen get applied to at a large scale. I mean, you see the protest in Hong Kong are interesting. That's an indicator. What does that mean? Right. So what's your take on all? What do you think needs to happen to get more people tied into these shared missions? >>It's a little little over there off >>The ranch. A little bit more honesty. More honesty. Yeah. Yeah. I mean, not, not something that we talk about these sorts of events is that I I've gotten to the point where I do these large talks in front of thousands of people. And I ask everybody to turn to the person next to them and introduce themselves, honestly, like, why are you here? And why do you care? We've all gotten so wrapped up in the >>Who we are as well. And that's why I say, I love the idea of you being >>A social media guru for Halloween. It's just become, so it's so about the role that we've lost the connection with our humanity. And so I just, I asked people just to step back. So it's as simple. So yeah, I am all for the large initiatives. >>Yes. Self-aware is a really interesting concept. And that really what you're talking about here is, I mean, I make fun of myself. I put that out there. Probably gonna get some hate mail for that tweet, but no, it is what it is. I mean, I'm making fun of myself and us because we have to, because it's really not moving fast enough in the writer in my mind, at least I think, I mean, I think social media is a real, real game changer. I'm pro pro social media, but I mean, come on, if you can't make fun of yourself then, >>But what is social media do you mean? What is our untapped desire that why we're all participating in social media, where we've missed the opportunity for all these years to be human in everything that we're doing? Yeah. I mean, the idea that you can be, you know, wherever you are and be able to reach the people who have answers to be able to help you make better decisions is something that we've had that desire for a very long time. We've just been, not able to do that for so long that it's now it's time we get on >>With that. I would do the cube to Dave and I talk all the time. We want to broadcast out the data because I think people want to be part of something. And I think at the end of the day, it's human psychology is that being part of something makes psychology of the soul work better. It's like, okay, I want to be part of a group. I want to belong. It's a yearning, it's a tribe. Whatever that kind of collective group is, whether you know, the clown or the, or the guru or whatever, I think that's a people are yearning for that collectiveness of Griff groups. And I think the data gap is gravity. Like how do you a joke? It could be a serious conversation. It could be something provocative. I think content is a nice piece of gravity to kind of bring people together versus, you know, tweeting, Hey, look, how big I am. I got a zillion followers. >>Okay. So let's back up though. So content, so we can talk about the, the, the, the, the concept that has content. That's a lovely thing to do at a data conference, talking about the content it's about things we care about. That's what content is. So if we take that a step further and we actually extrapolate and say, how does this impact me? It's not because it's content it's because we're talking about topics that matter to each of us. And so the more we get back to that sort of conversation, the more we get back to that sort of point, I think we have a bigger opportunity to have conversations that matter and not be able to be. We are wasting our time doing the silly stuff. >>Okay. I'm getting the hook here, Marcia conversations that matter. That's really what it's all about. Changing the world. Thanks for calling the cube. Great to see you again. And, uh, we'll be right back after this short break live in Las Vegas date, you continues wall-to-wall coverage here, inside the cube, inside the digital experience in psycho with IBM social lounge. We right back after this short break,