Rick Clark, Veritas | AWS re:Invent 2022
>>Hey everyone, and welcome back to The Cube's live coverage of AWS Reinvented 2022 Live from the Venetian Expo in Las Vegas. We're happy to be back. This is first full day of coverage over here last night. We've got three full days of coverage in addition to last night, and there's about 50,000 people here. This event is ready, people are ready to be back, which is so exciting. Lisa Martin here with Paul Gill and Paul, it's great to be back in person. Great to be hosting with you >>And likewise with you, Lisa. I think the first time we hosted again, >>It is our first time exactly. >>And we come here to the biggest event that the cube ever does during the year. >>It's the Super Bowl of the >>Cube. It's it's elbow to elbow out there. It's, it's, it's full tackle football, totally on the, on the floor of reinvent. And very exciting. This, you know, I've been to a lot of conferences going back 40 years, long as I can remember. Been going to tech conferences. This one, the, the intensity, the excitement around this is really unusual. People are jazzed, they're excited to be here, and that's great to see, particularly coming back from two years of isolation. >>Absolutely. The energy is so palpable. Even yesterday, evening, afternoon when I was walking in, you just feel it with all the people here. You know, we talk to so many different companies on the Q Paul. Every company these days has to be a data company. The most important thing about data is making sure that it's backed up and it's protected, that it's secure, that it can be recovered if anything happens. So we're gonna be having a great conversation next about data resiliency with one of our alumni. >>And that would be Rick Scott, Rick, excuse me, Rick Scott, >>Rick Clark. Rick Clark, say Rick Scott, cloud sales Veritas. Rick, welcome back >>To the program. Thank you. Thank you so much. It's a pleasure being here, you know, thank you so much. You're definitely very excited to myself and 40,000 of my closest cousins and friends all in one place. Yep. Or I could possibly go wrong, right? So >>Yeah, absolutely nothing. So, Rick, so Veritas has made some exciting announcements. Talk to us about some of the new things that you've >>Unveiled. Yeah, we've been, we've been incredibly busy and, you know, the journey that we've been on, one of the big announcement that we made about three or four weeks ago is the introduction, really, of a brand new cloud native data management platform that we call Veritas Alta. And this is a journey that we've been on for the better part of seven years. We actually started it with our, our flex appliances. We continued, that was a containerization of our traditional net backup business in, into a highly secured appliance that was loved by our customers. And we continued that theme and that investment into what we call a scale out and scale up form factor appliance as well, what we called flex scale. And then we continued on that investment theme, basically spending over a billion dollars over that seven year journey in our cloud native. And we call that basically the Veritas altar platform with our cloud native platform. And I think if you really look at what that is, it truly is a data management platform. And I emphasize the term cloud native. And so our traditional technologies around data protection, obviously application resiliency and digital compliance or data compliance and governance. We are the only, the first and only company in the world to provide really a cloud optimized, cloud native platform, really, that addresses that. So it's been fun, it's been a fun journey. >>Talk a little bit about the customer experience. I see over 85% of the Fortune 100 trust Veritas with their data management. That's >>A big number. Yeah. Yeah. It's, it is incredible actually. And it really comes back to the Veritas older platform. We sort of built that with, with four tenants in mind, all driving back to this very similar to AWS's customer obsession. Everything we do each and every day of our waiting moments is a Veritas employee is really surrounds the customer. So it starts with the customer experience on how do they find us to, how do they procure our solutions through things like AWS marketplace and how do they deploy it? And the second thing is around really cost optimization, as we know, you know, to, to say that companies are going through a digital transformation and moving workloads to the cloud. I mean, I've got customers that literally were 20% in cloud a year ago and 80% a year later, we've never seen that kind of velocity. >>And so we've doubled down on this notion of cost optimization. You can only do that with these huge investments that I talked about. And so we're a very profitable company. We've been around, got a great heritage of over 30 years, and we've really taken those investments in r and d to provide that sort of cloud native technology to ultimately make it elastic. And so everything from will spin up and spin down services to optimize the cloud bill for our customers, but we'll also provide the greatest workload support. You know, obviously on-prem workloads are very different from cloud workloads and it's almost like turning the clock back 20 years to see all of those new systems. There's no standard API like s and MP on the network. And so we have to talk to every single PAs service, every single DB PAs, and we capture that information and protect it. So it's really has been a phenomenal journey. It's been great. >>You said this, that that al represents a shift from clouds from flex scale to cloud native. What is the difference there? >>The, the main difference really is we took, you know, obviously our traditional product that you've known for many media years, net backup. It's got, you know, tens of millions of lines of code in that. And we knew if we lifted and shifted it up into the cloud, into an I AEs infrastructure, it's just not, it obviously would perform extremely well, but it wasn't cost optimized for our customer. It was too expensive to to run. And so what we did is we rewrote with microservices and containerization, Kubernetes huge parts of that particular product to really optimize it for the cloud. And not only have we done it for that technology, what we now call alter data protection, but we've done it across our entire port portfolio. That was really the main change that we made as part of this particular transition. And >>What have you done to prepare customers for that shift? Is this gonna be a, a drop in simple upgrade for them? >>Absolutely. Yeah. In fact, one of the things that we introduced is we, we invest still very heavily with regards to our OnPrem solutions. We're certainly not abandoning, we're still innovating. There's a lot of data still OnPrem that needs to move to the cloud. And so we have a unique advantage of all of the different workload supports that we provide OnPrem. We continue that expansion into the cloud. So we, we create it as part of the Veritas AL Vision, a technology, we call it AL view. So it's a single painter glass across both OnPrem and cloud for our customers. And so now they can actually see all of their data protection, all our application availability, single collect, all through that single unified interface, which is really game changing in the industry for us. >>It's game changing for customers too, because customers have what generally six to seven different backup technologies in their environment that they're having to individually manage and provision. So the, the workforce productivity improvements I can imagine are, are huge with Veritas. >>Yeah. You you nailed it, right? You must have seen my script, but Absolutely. I mean, I look at the analogy of, you think about the airlines, what's one of the first things airlines do with efficiency? South Southwest Airlines was the best example, a standardized on the 7 37, right? And so all of their pilots, all of their mechanics, all know how to operate the 7 37. So we are doing the same thing with enterprise data protection. So whether you're OnPrem at the edge or in the cloud or even multi-cloud, we can provide that single painter glass. We've done it for our customers for 30 plus years. We'll continue to do it for another 30 something years. And so it's really the first time with Veritas altar that, that we're, we're coming out with something that we've invested for so long and put, put such a huge investment on that can create those changes and that compelling solution for our customers. So as you can see, we're pretty pumped and excited about it. >>Yes, I can >>Use the term data management to describe Alta, and I want to ask about that term because I hear it a lot these days. Data management used to be database, now data management is being applied to all kinds of different functions across the spectrum. How do you define data management in Veritas >>Perspective? Yeah, there's a, we, we see it as really three main pillars across the environment. So one is protection, and we'll talk a little bit about this notion of ransomware is probably the number one use case. So the ability to take the most complex and the biggest, most vast applications. SAP is an example with hundreds of different moving parts to it and being able to protect that. The second is application resiliency. If, if you look at the cloud, there's this notion of, of responsibility, shared responsibility in the cloud. You've heard it, right? Yep. Every single one of the cloud service providers, certainly AWS has up on their website, this is what we protect, here's the demarcation line, the line in the sand, and you, the customer are responsible for that other level. And so we've had a technology, you previously knew it as InfoScale, we now call it alter application resiliency. >>And it can provide availability zone to availability zone, real time replication, high availability of your mission critical applications, right? So not only do we do the traditional backups, but we can also provide application resiliency for mission critical. And then the third thing really from a data management standpoint is all around governance and compliance. You know, ac a lot of our customers need to keep data for five, 10 years or forever. They're audited. There's regulations and different geographies around the world. And, and those regulations require them to be able to really take control of their cloud, take control of their data. And so we have a whole portfolio of solutions under that data compliance, data government. So back to your, your question Paul, it's really the integration and the intersection of those three main pillars. We're not a one trick pony. We've been at this for a long time, and they're not just new products that we invented a couple of months ago and brought to market. They're tried and tested with eight 80,000 customers and the most complex early solutions on the planet that we've been supporting. >>I gotta ask you, you know, we talked about those three pillars and you talked about the shared responsibility model. And think of that where you mentioned aws, Salesforce, Microsoft 365, Google workspace, whatnot. Are you finding that most customers aren't aware of that and haven't been protecting those workloads and then come to you and saying, Hey guys, guess what, this is what this is what they're responsible for. The data is >>You Yeah, I, it's, it's our probably biggest challenge is, is one of awareness, you know, with the cloud, I mean, how many times have you spoken to someone? You just put it in the cloud. Your applications, like the cloud providers like aws, they'll protect everything. Nothing will ever go down. And it's kind like if you, unless your house was ever broken into, you're probably not gonna install that burglar alarm or that fire alarm, right? Hopefully that won't be an event that you guys have to suffer through. So yeah, it's definitely, it wasn't till the last year or so the cloud service providers really published jointly as to where is their responsibility, right? So a great example is an attack vector for a lot of corporations is their SAS applications. So, you know, whether it it's your traditional SA applications that is available that's available on the web to their customers as a sas. >>And so it's certainly available to the bad actors. They're gonna, where there's, there's gonna be a point they're gonna try to get in. And so no matter what your resiliency plan is, at the end of the day, you really need to protect it. And protection isn't just, for example, with M 365 having a snapshot or a recycle bin, that's just not good enough. And so we actually have some pretty compelling technology, what we call ALTA SAS protection, which covers the, pretty much the, the gamut of the major SAS technologies to protect those and make it available for our customers. So yeah, certainly it's a big part of it is awareness. Yeah. >>Well, I understand that the shared responsibility model, I, I realize there's a lot of confusion about that still, but in the SaaS world that's somewhat different. The responsibility of the SaaS provider for protecting data is somewhat different. How, how should, what should customers know about that? >>I think, you know, the, the related to that, if, if you look at OnPrem, you know, approximately 35 to 40% of OnPrem enterprise data is protected. It's kind of in a long traditional problem. Everyone's aware of it. You know, I remember going to a presentation from IBM 20 something years ago, and someone held their push hand up in the room about the dis drives and says, you need to back it up. And the IBM sales guy said, no, IBM dis drives never crash. Right? And so fast forward to here we are today, things have changed. So we're going through almost a similar sort of changes and culture in the cloud. 8% of the data in the cloud is protected today, 8%. That's incredible. Meaning >>That there is independent backup devoted >>To that data in some cases, not at all. And something many cases, the customer just assumes that it's in the cloud, therefore it's always available. I never have to worry about protecting it, right? And so that's a big problem that we're obviously trying to, trying to solve. And we do that all under the umbrella of ransomware. That's a huge theme, huge investment that, that Veritas does with regards to providing that resiliency for our >>Customers. Ransomware is scary. It is becoming so prolific. The bad actors have access to technologies. Obviously companies are fighting them, but now ransomware has evolved into, no longer are we gonna get hit, it's when, yeah, it's how often it's what's the damage going to be. So the ability to help customers recover from ransomware, that resiliency is table stakes for businesses in any industry these days. Does that, that one of the primary pain points that your customers are coming to you with? >>It's the number one pain point. Yeah, it's, it's incredible. I mean, there's not a single briefing that our teams are doing customer meetings where that term ransomware doesn't come up as, as their number one use case. Just to give you something, a couple of statistics. There's a ransomware attack attack that happens 11 times a second right around the globe. And this isn't just, you know, minor stuff, right? I've got friends that are, you know, executives of large company that have been hit that have that some, you know, multimillion dollar ransom attack. So our, our play on this is, when you think about it, is data protection is the last line of defense. Yes. And so if they break through, it's not a case, Lisa, as you mentioned, if it's a case of when Yeah. And so it's gonna happen. So one of the most important things is knowing how do you know you have a gold copy, a clean copy, and you can recover at speed in some cases. >>We're talking about tens of thousands of systems to do that at speed. That's in our dna. We've been doing it for many, many years. And we spoke through a lot of the cyber insurance companies on this particular topic as well. And what really came back from that is that they're actually now demanding things like immutable storage, malware detection, air gaping, right? Anomaly detection is sort of core technologies tick the box that they literally won't ensure you unless you have those core components. And so what we've done is we've doubled down on that investment. We use AI in ML technologies, particularly around the anomaly detection. One of the, the, the unique and ne differentiators that Verto provides is a ransomware resiliency scorecard. Imagine the ability to save uran a corporation. We can come in and run our analytics on your environment and kind of give you a grade, right? Wouldn't you prefer that than waiting for the event to take place to see where your vulnerability really is? And so these are some of the advantages that we can actually provide for our customers, really, really >>To help. Just a final quick question. There is a, a common perception, I believe that ransomware is an on premise problem. In fact, it is also a cloud problem. Is that not right? >>Oh, absolutely. I I think that probably the biggest attack vector is in the cloud. If it's, if it's OnPrem, you've certainly got a certain line of defense that's trying to break through. But, you know, you're in the open world there. Obviously with SAS applications in the cloud, it's not a case of if, but when, and it's, and it's gonna continue to get, you know, more and more prevalent within corporations. There's always gonna be those attack factors that they find the, the flash wounds that they can attack to break through. What we are concentrating on is that resiliency, that ability for customers to recover at speed. We've done that with our traditional appliances from our heritage OnPrem. We continue to do that with regard to resiliency at speed with our customers in the cloud, with partners like aws >>For sure. Almost done. Give me your 30 seconds on AWS and Veritas. >>We've had a partnership for the better part of 10 years. It's incredible when you think about aws, where they released the elastic compute back in 2006, right? We've been delivering data protection, a data management solutions for, for the better part of 30 years, right? So, so we're, we're Junos in our space. We're the leader in, in data protection and enterprise data protection. We were on-prem. We, we continue to be in the cloud as AWS was with the cloud service provided. So the synergies are incredible. About 80 to 85% of our, our joint customers are the same. We take core unique superpowers of aws, like AWS outposts and AWS Glacier Instant retrieval, for example, those core technologies and incorporate them into our products as we go to Mark. And so we released a core technology a few months ago, we call it ultra recovery vault. And it's an air gap, a mutable storage, worm storage, right Once, right? You can't change it even when the bad actors try to get in. They're independent from the customer's tenant and aws. So we manage it as a managed backup service for our customers. Got it. And so our customers are using that to really help them with their ransomware. So it's been a tremendous partnership with AWS >>Standing 10 years of accounting. Last question for you, Rick. You got a billboard on the 1 0 1 in Santa Clara, right? By the fancy Verto >>1 0 1? >>Yeah. Right. Well, there's no traffic. What does that billboard say? What's that bumper sticker about? Vertus, >>I think, I think the billboard would say, welcome to the new Veritas. This is not your grandfather's old mobile. We've done a phenomenal job in, in the last, particularly the last three or four years, to really reinvent ourselves in the cloud and the investments that we made are really paying off for our customers today. So I'm excited to be part of this journey and excited to talk to you guys today. >>Love it. Not your grandfather's Veritas. Rick, thank you so much for joining Paula, me on the forgot talking about what you guys are doing, how you're helping customers, really established that cyber of resiliency, which is absolutely critical these days. We appreciate your >>Time. My pleasure. Thank you so much. >>All right, for our guest and Paul Gilland, I'm Lisa Martin, you're watching the Queue, which as you know is the leader in live enterprise and emerging check coverage.
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Great to be hosting with you And likewise with you, Lisa. you know, I've been to a lot of conferences going back 40 years, long as I can remember. many different companies on the Q Paul. Rick, welcome back It's a pleasure being here, you know, thank you so much. Talk to us about some of the new things that you've And I emphasize the term cloud native. Talk a little bit about the customer experience. And it really comes back to the Veritas older platform. And so we have What is the difference there? The, the main difference really is we took, you know, obviously our traditional product that you've known for many media And so we have a unique advantage of all of the different workload supports that we backup technologies in their environment that they're having to individually manage and provision. And so it's really the first time with Use the term data management to describe Alta, and I want to ask about that term because I hear it a lot these So the ability to take the most complex and the biggest, And so we have a whole portfolio of solutions under that data And think of that where you mentioned aws, Salesforce, Microsoft 365, that is available that's available on the web to their customers as a sas. And so it's certainly available to the bad actors. that still, but in the SaaS world that's somewhat different. And so fast forward to here we are today, And something many cases, the customer just assumes that it's in So the ability to help customers recover from ransomware, So one of the most important things is knowing how do you know you have a gold copy, And so these are some of the advantages that we can actually provide for our customers, really, I believe that ransomware is an on premise problem. it's not a case of if, but when, and it's, and it's gonna continue to get, you know, Give me your 30 seconds on AWS and Veritas. And so we released a core technology a You got a billboard on the 1 0 1 in What does that billboard say? the investments that we made are really paying off for our customers today. Rick, thank you so much for joining Paula, me on the forgot talking about what you guys are doing, Thank you so much. which as you know is the leader in live enterprise and emerging check coverage.
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Rachel Wolfson, CoinTelegraph | Monaco Crypto Summit 2022
(upbeat music) >> Okay, welcome back everyone to the Cube's live coverage in Monaco. I'm John Furrier, host of theCube. Monaco Crypto Summit is the event and there's a big conversation later at the yacht club with Prince Albert and everyone else will be there, and it'll be quite the scene. And Rachel Wolfson is here. She's with Cointelegraph. They're the media partner of the event, the official media partner of the Monaco Crypto Summit. She's also MCing the event on stage, presented by DigitalBits. Rachel, thanks for coming on. >> Thanks for having me, John. >> So I know you're busy, thanks for taking the time cause' you got to go jump back in and moderate, and keep things on track. This isn't an inaugural event. So DigitalBits has exploded on the scene. I just saw a thing on YouTube news around this soccer player in Rome, has DigitalBits logo on their jersey. They're a big to do cause everyone's popular and they got a couple teams. So real world, kind of, assets coming together, what's going on in the event that you're MCing? What's the focus? What's the agenda? What's some of the conversations like? >> Yeah, definitely. Well, it's a great event. It's my first time here in Monaco and I'm loving it. And I think that Monaco is really becoming the next crypto hotspot. Definitely in terms of Metaverse and Web3 innovation, I think that we're going to start seeing a lot of that here. That's what we're seeing today at the Summit. So a lot of the presentations that we're seeing are really focused on Web3 and NFT platforms, so for instance, obviously what DigitalBits is doing. We watched a video before the break on Ecosystem and the Metaverse that people can join and be a part of, in terms of real estate, but we're seeing a lot of innovation here today with that. I moderated a great panel with Britney Kaiser, Lauren Bissell, Taross, I'm blanking on his last name, but it was about blockchain and how governments are implementing blockchain. So that was also really interesting to hear about what the Ukrainian government is doing with blockchain. So there's kind of a mix, but I'd say that the overall theme is Web3 and NFTs. >> Yeah. Britney was mentioning some of that, how they're going to preserve buildings and artifacts, so that in case they're looted or destroyed, they can preserve them. >> Right. I think it's called the Heritage Fund. And I just think it's such an interesting use case in terms of how governments are using blockchain because the best use for blockchain in my opinion, is recording data, and having that data be permanent. And so when we can have artifacts in Ukraine recorded on the blockchain, you know by being scanned, it's really revolutionary. And I think that a lot of governments around the world are going to see that use case and say, "Oh wow, blockchain is a great technology for things like that." >> So DigitalBits had a press conference this morning and they talked about their exchange and some other things. Did you attend that press conference or did you get briefed on that? >> I did not attend the press conference. I was prepping for my MC role. >> So they got this exchange thing and then there's real interest from Prince Albert's foundations to bring this into Monaco. So Monaco's got this vibe, big time. >> Rachel: Right. There's a vibe (John chuckles) >> What does it all mean, when you're putting in your reporting? What do you see happening? >> So, I mean, I honestly haven't covered Monaco actually ever in my reporting. And John, you know I've been reporting since 2017, but the vibe that I'm getting just from this summit today is that Web3 and NFTs are going to be huge here. I'm speaking, I haven't... You know, there's a panel coming up about crypto regulations, and so we're going to talk a little bit about laws being passed here in Monaco in terms of Metaverse and digital identity. So I think that there are a few laws around that here that they're looking at, the government here is looking at to kind of add clarity for those topics. >> I had a couple guests on earlier. We were talking about the old days, a couple years ago. You mentioned 2017, so much has changed. >> Yes. >> You know, we had a up and down. 2018 was a good year, and then it kind of dived back and changed a little bit. Then NFTs brought it back up again, been a great hype cycle, but also movement. What's your take on the real progress that's been made? If you zoom out and look at the landscape, what's happened? >> Right. I mean, well, a lot has happened. When I first entered the space, I initially came in, I was interested in enterprise, blockchain and private networks being utilized by enterprises to record data. And then we saw public blockchains come in, like Ethereum and enterprises using them. And then we saw a mix. And now I feel like we're just seeing public blockchains and there's really... (John chuckles) But there's still our private blockchains. But today, I mean, we've gone from that in 2017 to right now, I think, you know, we're recently seeing a lot of these centralized exchanges kind of collapsing. What we've seen with Celsius, for instance, and people moving their crypto to hardware wallets. I think that the space is really undergoing a lot of transformation. It's really revolutionary, actually, to see the hardware wallet market is growing rapidly, and I think that that's going to continue to grow. I think centralized exchanges are still going to exist in custody crypto for enterprises and institutions, and you know, in individuals as well. But we are seeing a shift from centralized exchanges to hardware wallets. NFTs, although the space is, you know, not as big as it was a year ago, it's still quite relevant. But I think with the way the market is looking today, we're only seeing the top projects kind of lead the way now, versus all of the noise that we were seeing previously. So yeah, I think it's- >> So corrections, basically? >> Right. Exactly. Corrections. And I think it's necessary, right. It's very necessary. >> Yeah. It's interesting. You know, you mentioned the big players you got Bitcoin, Ethereum driving a lot. I remember interviewing the crypto kiddies when they first came out, it was kind of a first gen Ethereum, and then it just exploded from there. And I remember saying to myself, if the NFTs and the decentralized applications can have that scale, but then it felt like, okay, there was a lot of jocking for under the covers, under the hood, so to speak. And now you've got massive presence from all the VCs, and Jason Ho has like another crypto fund. I mean, >> Right. you can't go a day without another big crypto fund from you know, traditional venture capitalists. Meanwhile, you got investors who have made billions on crypto, they're investing. So you kind of got a diversity of investor base going on and different instruments. So the investor community's changing and evolving too. >> Right. >> How do you see that evolving? >> Well, it's a really good point you mentioned. So Cointelegraph research recently released a report showing that Web3 is the most sought after investment sector this year. So it was DeFi before, and Web3 is now leading the way over DeFi. And so we're seeing a lot of these venture capitalist funds as you mentioned, create funds allocated just to Web3 growth. And that's exactly what we're seeing, the vibe I'm getting from the Monaco Crypto Summit here today, this is all about Web3. It's all about NFT, it is all about the Metaverse. You know, this is really revolutionary. So I think we're definitely going to see that trend kind of, you know, conquer all of these other sectors that we're seeing in blockchain right now. >> Has Web3 become the coin term for Metaverse and NFTs? Or is that being globalized as all shifted, decentralized? What's the read on it? It seems to be like, kind of all inclusive but it tends to be more like NFT's the new thing and the young Gen Zs >> Yeah want something different than the Millennials and the Xs and the Boomers, who screwed everything up for everybody. >> Yeah. (John chuckles) No, I mean, it's a great question. So when I think of Web3, I categorize NFTs and the Metaverse in there. Obviously it's just, you know the new form of the internet. It's the way the internet is- >> Never fight fashion, as I always say, right? >> Right. Yeah. Right. (John chuckles) It's just decentralization. The fact that we can live in these virtual worlds and own our own assets through NFT, it's all decentralized. And in my opinion, that all falls under the category of Web3. >> Well, you're doing a great job MCing. Great to have you on theCube. >> Rachel: Thanks. I'd like to ask you a personal question if you don't mind. COVID's impacted us all with no events. When did you get back onto the events circuit? What's on your calendar? What have you been up to? >> Yeah, so gosh, with COVID, I think when COVID, you know, when it was actually really happening, (John chuckles) and it still is happening. But when it was, you know, >> John: Like, when it was >> impacting- shut down mode. >> Right. When we were shut down, there were virtual events. And then, I think it was late last year or early this year when the events started happening again. So most recently I was at NFT NYC. Before that, I was at Consensus, which was huge. >> Was that the one in Austin or Miami? >> In Austin. >> That's right, Austin. >> Right. Were you there? >> No, I missed it. >> Okay. It was a very high level, great event. >> Huge numbers, I heard. >> Yes. Massive turnout. (John chuckles) Tons of speakers. It was really informative. >> It feels like a festival. actually. >> It was. It was just like South by Southwest, except for crypto and blockchain. (John chuckles) And then coming up, gosh, there are a lot of events. I'll be at an event in Miami, it's an NFT event that's in a few months. I know that there's a summit happening, I think in Turkey that I may be at as well. >> You're on the road. You're traveling. You're doing a lot of hopping around. >> Yes I am. And there's a lot of events happening in Europe. I'm US-based, but I'm hoping to spend more time in Europe just so I can go to those events. But there's a lot happening. >> Yeah. Cool. What's the most important story people should be paying attention to in your mind? >> Wow. That's... (Rachel chuckles) That's a big question. It's a good question. I think most, you know, the transition that we're seeing now, so in terms of prices, I think people need to focus less on the price of Bitcoin and Ethereum and more on innovation that's happening. So for instance, Web3 innovation, what we're seeing here today, you know, innovation, isn't about prices, but it's more about like actually now is the time to build. >> Yeah. because the prices are a bit down. >> Yeah. I mean, as, you know, Lewis Hamilton's F1 driver had a quote, you know, "It takes a team. No matter who's in the driver's seat, it's a team." So community, Wayne Gretzky skates where the puck is going to be I think is much more what I'm hearing now, seeing what you're saying is that don't try to count the price trade of Bitcoin. This is an evolution. >> Right. >> And the dots are connecting. >> Exactly. And like I said, now is the time to build. What we're seeing with the project Britney mentioned, putting the heritage, you know, on the blockchain from Ukraine, like, that's a great use case for what we're seeing now. I want to see more of those real world use cases. >> Right. Well, Rachel, thanks for coming on theCube. I really appreciate it. Great to see you. >> Thanks, John. >> And thanks for coming out of your schedule. I know you're busy. >> Thanks. Now you get some lunchtime now and get some break. >> Yeah. Get back on stage. Thanks for coming on. >> Rachel: Thank you. >> All right. We're here at the Monaco Crypto Summit. Rachel's MCing the event as part of the official media partner, Cointelegraph. Rachel Wolfson here on theCube. I'm John Furrier. More coverage coming after this short break. >> Thank you. (upbeat music)
SUMMARY :
and it'll be quite the scene. So DigitalBits has exploded on the scene. So a lot of the presentations how they're going to preserve And I just think it's such or did you get briefed on that? I did not attend the press conference. and then there's real interest Rachel: Right. but the vibe that I'm getting I had a couple guests on earlier. the landscape, what's happened? NFTs, although the space is, you know, And I think it's necessary, right. I remember interviewing the crypto kiddies So the investor community's and Web3 is now leading the way over DeFi. the Xs and the Boomers, It's the way the internet is- And in my opinion, Great to have you on theCube. I'd like to ask you But when it was, you know, And then, I think it was late last year Were you there? It was a very high level, great event. It was really informative. It feels like a festival. I know that there's a summit happening, You're on the road. just so I can go to those events. What's the most important story now is the time to build. because the prices the puck is going to be putting the heritage, you know, Great to see you. I know you're busy. Now you get some lunchtime Get back on stage. We're here at the Monaco Crypto Summit. Thank you.
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Sandy Carter, Unstoppable Domains, announces Women of Web3 | WoW3
(upbeat music) >> Hello, everyone welcome to theCube special presentation of the Unstoppable Domains partner showcase. I'm John Furrier, your host of theCube. We have here, Cube alumni, Sandy Carter, SVP and channel chief of Unstoppable Domains. Sandy, great to see you. Congratulations on your new assignment. Exciting new company, and thanks for coming on for the showcase. >> Well, thank you, John. It's so fun to always be here with you through all my companies, it's really great. Thanks for having me. >> Well, it's been pretty amazing what's going on in the world right now. We just had the past Super Bowl which is the biggest event in the world around advertising, a lot of Web 3.0, crypto, blockchain, decentralized applications. It's here, it's mainstream. We've talked off camera many times around the shifts in technology, cloud computing. We're now with Web 3.0 and some are even saying Web 4.0. (Sandy laughs) A lot of technology programmers, people who are building new things are all in the Web 3.0 world. It's really going mainstream. So what's your view on that? I see you're in it too. You're leading it. >> I am in it too. And it's so exciting to be at the verge of the next technology trend that's out there. And I'm really excited about this one, John because this is all about ownership. It's about members not users. It's quite fascinating to be honest. >> What is Web 3.0? What is Web 3.0? Define it for us 'cause you have a good knack for putting things in the perspective. People want to know what does this Web 3.0? What does it mean? >> Okay, great. That's a great question. In fact, I have just a couple of slides because I'm a visual learner. So I don't know if you guys could pop up just a couple of slides for us. So first to me, Web 3.0 is really all about this area of ownership and that's whether it's in gaming or art or even business applications today. In fact, let me show you an example. If you go to the next slide, you will see like with Twitter, and John, you and I were there, I was the first person to onstage announce that we were going to do tweets during a major event. And of course I started on Twitter back in 2008, pretty early on. And now the valuation of Twitter is going up, I got a lot of value and I helped to attract a lot of those early users. But my value was really based on the people, building my network, not based on that monetary valuation. So I really wasn't an owner. I was a user of Twitter and helped Twitter to grow. Now, if you go with me to the next slide you'll see just a little bit more about what we're talking about here and I know this is one of your favorites. So Web 1.0 was about discovery. We discovered a lot of information. Web 2.0 was about reading the information but also contributing with that two-way dialogue with social but Web 3.0 is now all about membership, not being a user but being a member and therefore having an ownership stake in the power of what's coming. And I think this is a big differential, John, if I had to just nail one thing. This would be the big differential. >> That's awesome. And I love that slide because it goes to the progression. Most people think of web 1.0 data, the worldwide web, web pages, browsers, search engines, Web 2.0, better interfaces. You got mobile, you got social networks. And then it got messy, bots and misinformation, users of the product being used by the companies. So clearly Web 3.0 is changing all that and I think the ownership thing is interesting because you think about it, we should own our data. We should have a data wallet. We should have all that stored. So this is really at the heart of what you guys are doing. So I think that's a great way to put it. I would ask you what's your impression when people you talk to in the mainstream industry that aren't in Web 3.0 that are coming in, what's their reaction? What do they think? What do they see? >> Well, a lot of what I see from Web 2.0 folks is that they don't understand it, first of all. They're not sure about it. And I always like to say that we're in the early days of Web 3.0. So we're in that dial up phase. What was that? Was that AOL? Remember that little that they used to make? >> (laughs) You've got mail. >> Yeah, you've got mail. That's right. That's where we are today with Web 3.0. And so it is early days and I think people are looking for something they can hang their hat on. And so one of the things that we've been working on are what would be the elements of Web 3.0? And if you could take me to one more slide and this will be my last slide, but again, I'm a very visual person. I think there are really five basic assumptions that Web 3.0 really hangs its hat on. The first is decentralization, or I say at least partially decentralized because today we're building on Web 2.0 technology and that is okay. Number two is that digital identity. That identity you just talked about, John where you take your identity with you. You don't have identity for Twitter, an identity for LinkedIn, an identity for a game. I can take my identity today, play a game with it, bank with it, now move on to a Metaverse with it, the same identity. The other thing we like to say is it's built on blockchain and we know that blockchain is still making a lot of improvements but it's getting better and better and better. It's trustless, meaning there's no in between party. You're going direct, user, member to institution, if you would. So there's no bank in between, for example. And then last but not least, it's financially beneficial for the people involved. It's not just that network effect that you're getting, it's actually financially beneficial for those folks. All five of those give us that really big push towards that ownership notion. >> One thing I would point out, first of all, great insight, I would also add and and love to get your reaction to it, and this is a great lead into the news, but there's also a diversity angle because this is a global phenomenon, okay? And it's also a lot of young cultural shift happening with the younger generation, but also technologists from all ages are participating and all genders. Everything's coming together. It's a melting pot. It's a global... This is like the earth is flat moment for us. This is an interesting time. What's your reaction to them? >> Absolutely and I believe that the more diverse the community can be, the more innovative it will be. And that's been proven out by studies, by McKenzie and Deloitte and more. I think this is a moment for Web 3.0 to be very inclusive. And the more inclusive that Web 3.0 is, the bigger the innovation and the bigger the power and the bigger that dream of ownership will become a reality. So I'm 100% with you on the diversity angle for sure. >> So big new news tomorrow launching. This is super exciting. First of all, I love the acronym, but I love the news. Take us through the big announcement that you're having. >> Yeah. So John, we are so excited. We have over 55 different companies joining together to form Unstoppable Women of Web 3.0, or we call it WOW3. Unstoppable WOW3. And the mission is really clear and very inclusive. The first is that we want to make Web 3.0 accessible for everyone. The second is we don't want to just say we want it accessible for everyone, we want to help with that first step. We're going to be giving away $10 million worth of domains from Unstoppable which we believe is that first step into Web 3.0. And then we're going to be action oriented. We don't want to just say we're going to help you get started or just say that Web 3.0 is accessible, we're going to launch education, networking, and events. So for example, we've got our first in person event that will occur at South by Southwest. Our first virtual event will occur on March 8th which is International Women's Day and there'll be two components of it. One is an hour YouTube Live so that people can come in and ask questions and then we've got a 24 hour Twitter space. So almost every half an hour or every hour on the hour, you're going to have these amazing women talk to you about what is DeFi? What is minting? What is Web 3.0 all about? Why gaming in Web 3.0? I mean, it's just going to be phenomenal. And in that we want to support each other as we're moving forward. This whole concept of from the very beginning, we want Web 3.0 to be diverse. >> And I want to also point out that you've got some activities on the March 8th International Women's Day but it's always every day in this community because it's a community. So this whole idea of community inclusion continues every day. Talk about those activities you're having on March 8th. Can you share what's happening on International Women's Day? >> Yeah, so first we're going to have a YouTube Live where we're going to go in detail into what is Web 3.0? What is DeFi? What is an NFT and why do they exist? Then we're going to have this 24 hour Twitter spaces where we've got all these different guest speakers from the 55 different companies that are supporting the initiative. We're also going to launch a list of the 100 most inspirational women of Web 3.0. We're going to do that twice a year. And we decided John not to do the top women, but the women that are inspirational, who are pioneering the trail, who are having an impact. And so we want it to be a community. So it's 100 of the most inspirational women of Web 3.0. We're also setting up a Web 3.0 Women's Speakers Bureau. So I cannot tell you, John, how many time people will call me up and they'll be like, "We really want you to speak here." And when I really get down to it, they really want me because I'm a woman that can speak about Web 3.0 but there are so many women who can do this. And so I wanted to have a place where everybody could come and see how many different diverse people we have that could speak out this. >> Yeah, and that's a great thing because there are a lot of women who can speak on this. They just have to have their voices found. So there's a lot of discovery in that format. Is there any plans to go beyond? You mentioned some workshops, what other things... Can you give another quick highlight of the things else you're doing post the event? >> Yeah, so one of the big things post the event is working with Girls in Tech, and I know you know Adriana. We are going to host on their platform. They have a platform for mentoring. We're going to host a track for Web 3.0 and during International Women's Day, we're going to auction off some NFTs that will contribute to that mentoring platform. So we've got folks like Lazy Lions and Bella and Deadheads that are going to donate NFTs. We'll auction those off and then that will enable the ongoing platform of Girls in Tech to have that mentoring that will be available for the next generation. We'll also do events, both virtually through Twitter spaces and other means as well as in-person events. I just mentioned at South by Southwest which I'm really looking forward to. We're going to have our first in-person event on March the 12th. It's going to be a brunch. A lot of the women told me, John, that they go to all these Web 3.0 or crypto events and everything's like a frat party in the evening. And they're like, "Why can't we just have a nice brunch and sit down and talk about it?" (John laughs) So at South by Southwest that is exactly what we're going to do. We're going to have a brunch and we're going to sit down and talk about it with all of these companies. And John, one of the things that's amazing to me is that we have over 55 companies that are all coming together to support this initiative. To me, that was just overwhelming. I was hoping to get about 20 companies and so far we have 55. So I'm feeling so excited and so empowered by what I see as the potential for this group. >> Yeah, well, first of all, congratulations. That's a really great thing you're doing. If you need place on theCube to post those videos, if you can get copies, we'd be glad to share them as well 'cause it's super important to get all the great minds out there that are working on Web 3.0 and have them showcased. I got to ask you now that you're in the trenches now, doing all this great work. What are some of the buzzwords that people should know about in Web 3.0? You mentioned to five main pillars as well as the ownership, the paradigm shift, we got that. What are some of the buzzword that people should know about? How would you rank those? >> Well, I think there are a couple. Let's see. I mean, one is if you think about it, what is a decentralized application? Some people call them Dapps. Dapps, you'll hear that a lot. And a decentralized application just means that you are leveraging and using multiple forms. There's no centralization of the back end. So everything is decentralized or moving around. Another is the gas fee. This comes up a lot, many people think, "Oh yeah, I put gas in my car." But a gas fee in Web 3.0 is you're actually paying for those decentralized computers that you're using. So in a centralized land, a company owns those computers. In a decentralized land, since you're using all these different assets, you've got to pay for them and that's what the gas fee is for. The gas fee is to pay for those particular types of solutions. And many of these terms that we're talking about minting, what is an NFT, we'll be explaining all of these terms on International Women's Day in that 24 hour Twitter space as well. >> We'll look forward to that Twitter space. We'll share as well. In the Web 3.0 world, when you look at it, when you look at what Unstoppable's doing, it's a paradigm shift. You laid it out there. What is the bottom line? What's the most practical thing people are doing with the domains? 'Cause it is definitely headroom in terms of capability, single sign on, you own your own data, integrating into wallet and decentralized applications and creating this new wave just like the web. More web pages, better search. More pages, the search has to get better, flywheel kicking in. What's the flywheel for Unstoppable? >> Well, I think the flywheel is the really around digital identity. It's why I came to Unstoppable because I believe that the data about you should be owned by you and that identity now travels with you. It's your wallet, it's your healthcare data, it's your educational records, and it's more. So in the future, that digital identity is going to become so much more important than it is today. And oh my gosh, John, it's going to be used in so many different ways that we can't even imagine it now. So for me, I think that digital identity and it really puts that ownership right in the hands of the members, not in anyone else's hands, a company, a government, et cetera. It puts the ownership of that data in your hands. >> I just love these big waves, these shifts, because you mentioned healthcare. Imagine an NFT is that sign on where you don't have to worry about all these HIPAA regulations. You can just say, "Here's me. Here's who I'm trusted." And they don't even know my name, but they know it's trusted. >> And everything just trickles down from there. >> That's right. >> And all the databases are called. It's all immutable. I got my private key. It unlocks so much potential in a new way. Really is amazing. >> I agree. And even just think about education. I was with Arizona State University and so my daughter took some classes at a community college and I wanted to get those classes and have those credits available for her university. How hard is that? Just to get that education and everything is paper and I had to physically sign, I had to physically mail it. It was pretty crazy. So now imagine that your digital identity contains all of your degrees, all of the skills that you've gone through all of your experiences, John. You told me before the show, all different experiences that you have that I didn't know about. I'm sure a lot of people didn't. What if you had that piece of you that would be available that you could use it at any time. >> It's locked in LinkedIn. There's a silo. Again, I'm a huge believer in silo busting going on. This new generation is not going to tolerate experiences that don't fit their mission. They want to have liberation on their data. They don't want to be the product. They want to have the value. >> That's right. >> And then broker that value for services and be able to be horizontally scalable and pop around from place to place without logging in again or having that siloed platform have the data like LinkedIn. You mentioned my resume's on basically LinkedIn, but I got webpages. I got some stories. I got videos. I'm all over the place. I need an NFT. >> And just think about LinkedIn, John. You could say that you graduated from Yale and didn't even graduate from Yale because nobody double checks that but in a wallet, if Yale actually sent that information in so you could verify it. It's that verification that's done over the blockchain, that immutable verification that I find to be very powerful. And John, we were just chatting with some companies earlier today that are Web 2.0 companies and they're like, "Oh, okay. All this is just for people? It's just for consumers?" And I was like, "No, this is for B2B. You've got to start thinking about this as a company." So for example, if you're a company today, how are you going to entice users to let you see some of their data? How are you going to look at ownership when it might be done via a dow and maybe a part of a piece of art, a part of a company, a part of real estate, like Parcel who you guys are going to talk to later on. Look at how that is going to change the world. It's going to change the way funds are raised. It's going to change the way you buy carbon credits, the way you buy art. If you're a consumer company, think about games and endgame economics. People are now playing game that money is real and your brand could be positioned. Have you thought about that? >> Yeah, I think that point you mentioned earlier about Twitter being the user, you had some personal connection, we didn't monetize it. Now with Web 3.0, you own it. One of the things that I see happening and it's coming out a lot of the Unstoppable interviews as well as what we're seeing in the marketplace is that the communities are part owners of the talent of whether it's an artist, a music artist, could be theCube team. The communities are part of the fabric of the overall group ownership. So you're starting to see you mentioned dows, okay? It's one kind of it. So as users become in control of their data and owning it, they're also saying, "Hey I want to be part of someone else." Artists are saying, " Be my stockholder. Own my company." >> That's right. >> So you start to see ownership concept not just be about the individual, it's about the groups. >> Right. And it's about companies too. So I'm hoping that as part of our Unstoppable Women of Web 3.0, we do have several companies who have joined us that are what I would say, traditionally Web 2.0 companies, trying to go over the chasm into Web 3.0. And I do think it's really important that companies of all types and sizes start looking at the implication of that ownership model and what that does. So for example, it's a silly one, but a simple one. I bought a Lazy Lion. It was actually part of my signing bonus, which is also interesting. My signing bonus was an NFT and now my Lazy Lion, I now own that Lazy Lion but the artist also gets a potential percentage of that. I can put my Lazy Lion on a t-shirt. I could name a store after my Lazy Lion because now it's mine. I own it. I own that asset. And now myself and the artists are teamed together. We're like a joint venture together. It's fascinating new models and there are so many of them. After ETHDenver, I was reading some of the key takeaways. And I think the biggest key takeaway was that this space is moving so fast with so much new information that you really have to pick one or two things and just go really deep so that you really understand them versus trying to go so wide that you can't understand everything at one time and to keep up it's a mission today to keep up. >> That interesting example about the Lazy Lion, the artist in relationship with you, that's a smart contract. There's no law firm doing that. It's the blockchain. Disintermediation is happening. >> It's trustless. Back to those five things we talked about. It's on the blockchain, it's decentralized at least partially, it's a digital identity, it's financially beneficial to you and it's trustless. That's what that is. It's a smart contract. There's no in between >> Can't change. It's immutable. Can't hack. Once it's on the blockchain, you're good to go. Sandy, well, congratulations. Great to see you. Unstoppable Women of Web3, WOW3. Great acronym. We're going to support you. We're going to put you on our March 8th site we're putting together. Great to have you on. Congratulations and thanks for sharing the big news. >> Thank you so much, John. Great to be on. >> Okay, this is theCube coverage of Unstoppable Domain partner showcase. I'm John Furrier, your host, here with Sandy Carter. Thanks for watching. (upbeat music)
SUMMARY :
and thanks for coming on for the showcase. It's so fun to always be here with you are all in the Web 3.0 world. It's quite fascinating to be honest. you have a good knack and I helped to attract And I love that slide And I always like to say And so one of the things This is like the earth that the more diverse First of all, I love the And in that we want to support each other on the March 8th International Women's Day So it's 100 of the most highlight of the things else that they go to all these I got to ask you now that that you are leveraging More pages, the search has to get better, and that identity now travels with you. Imagine an NFT is that sign on And everything just And all the databases are called. all different experiences that you have going to tolerate experiences and be able to be horizontally scalable that I find to be very powerful. One of the things that I see happening So you start to see ownership that you really have to It's the blockchain. to you and it's trustless. We're going to put you Great to be on. of Unstoppable Domain partner showcase.
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Sandy Carter, Unstoppable Domains, announces Women of Web3 | WoW3
(upbeat music) >> Hello, everyone welcome to theCube special presentation of the Unstoppable Domains partner showcase. I'm John Furrier, your host of theCube. We have here, Cube alumni, Sandy Carter, SVP and channel chief of Unstoppable Domains. Sandy, great to see you. Congratulations on your new assignment. Exciting new company, and thanks for coming on for the showcase. >> Well, thank you, John. It's so fun to always be here with you through all my companies, it's really great. Thanks for having me. >> Well, it's been pretty amazing what's going on in the world right now. We just had the past Super Bowl which is the biggest event in the world around advertising, a lot of Web 3.0, crypto, blockchain, decentralized applications. It's here, it's mainstream. We've talked off camera many times around the shifts in technology, cloud computing. We're now with Web 3.0 and some are even saying Web 4.0. (Sandy laughs) A lot of technology programmers, people who are building new things are all in the Web 3.0 world. It's really going mainstream. So what's your view on that? I see you're in it too. You're leading it. >> I am in it too. And it's so exciting to be at the verge of the next technology trend that's out there. And I'm really excited about this one, John because this is all about ownership. It's about members not users. It's quite fascinating to be honest. >> What is Web 3.0? What is Web 3.0? Define it for us 'cause you have a good knack for putting things in the perspective. People want to know what does this Web 3.0? What does it mean? >> Okay, great. That's a great question. In fact, I have just a couple of slides because I'm a visual learner. So I don't know if you guys could pop up just a couple of slides for us. So first to me, Web 3.0 is really all about this area of ownership and that's whether it's in gaming or art or even business applications today. In fact, let me show you an example. If you go to the next slide, you will see like with Twitter, and John, you and I were there, I was the first person to onstage announce that we were going to do tweets during a major event. And of course I started on Twitter back in 2008, pretty early on. And now the valuation of Twitter is going up, I got a lot of value and I helped to attract a lot of those early users. But my value was really based on the people, building my network, not based on that monetary valuation. So I really wasn't an owner. I was a user of Twitter and helped Twitter to grow. Now, if you go with me to the next slide you'll see just a little bit more about what we're talking about here and I know this is one of your favorites. So Web 1.0 was about discovery. We discovered a lot of information. Web 2.0 was about reading the information but also contributing with that two-way dialogue with social but Web 3.0 is now all about membership, not being a user but being a member and therefore having an ownership stake in the power of what's coming. And I think this is a big differential, John, if I had to just nail one thing. This would be the big differential. >> That's awesome. And I love that slide because it goes to the progression. Most people think of web 1.0 data, the worldwide web, web pages, browsers, search engines, Web 2.0, better interfaces. You got mobile, you got social networks. And then it got messy, bots and misinformation, users of the product being used by the companies. So clearly Web 3.0 is changing all that and I think the ownership thing is interesting because you think about it, we should own our data. We should have a data wallet. We should have all that stored. So this is really at the heart of what you guys are doing. So I think that's a great way to put it. I would ask you what's your impression when people you talk to in the mainstream industry that aren't in Web 3.0 that are coming in, what's their reaction? What do they think? What do they see? >> Well, a lot of what I see from Web 2.0 folks is that they don't understand it, first of all. They're not sure about it. And I always like to say that we're in the early days of Web 3.0. So we're in that dial up phase. What was that? Was that AOL? Remember that little that they used to make? >> (laughs) You've got mail. >> Yeah, you've got mail. That's right. That's where we are today with Web 3.0. And so it is early days and I think people are looking for something they can hang their hat on. And so one of the things that we've been working on are what would be the elements of Web 3.0? And if you could take me to one more slide and this will be my last slide, but again, I'm a very visual person. I think there are really five basic assumptions that Web 3.0 really hangs its hat on. The first is decentralization, or I say at least partially decentralized because today we're building on Web 2.0 technology and that is okay. Number two is that digital identity. That identity you just talked about, John where you take your identity with you. You don't have identity for Twitter, an identity for LinkedIn, an identity for a game. I can take my identity today, play a game with it, bank with it, now move on to a Metaverse with it, the same identity. The other thing we like to say is it's built on blockchain and we know that blockchain is still making a lot of improvements but it's getting better and better and better. It's trustless, meaning there's no in between party. You're going direct, user, member to institution, if you would. So there's no bank in between, for example. And then last but not least, it's financially beneficial for the people involved. It's not just that network effect that you're getting, it's actually financially beneficial for those folks. All five of those give us that really big push towards that ownership notion. >> One thing I would point out, first of all, great insight, I would also add and and love to get your reaction to it, and this is a great lead into the news, but there's also a diversity angle because this is a global phenomenon, okay? And it's also a lot of young cultural shift happening with the younger generation, but also technologists from all ages are participating and all genders. Everything's coming together. It's a melting pot. It's a global... This is like the earth is flat moment for us. This is an interesting time. What's your reaction to them? >> Absolutely and I believe that the more diverse the community can be, the more innovative it will be. And that's been proven out by studies, by McKenzie and Deloitte and more. I think this is a moment for Web 3.0 to be very inclusive. And the more inclusive that Web 3.0 is, the bigger the innovation and the bigger the power and the bigger that dream of ownership will become a reality. So I'm 100% with you on the diversity angle for sure. >> So big new news tomorrow launching. This is super exciting. First of all, I love the acronym, but I love the news. Take us through the big announcement that you're having. >> Yeah. So John, we are so excited. We have over 55 different companies joining together to form Unstoppable Women of Web 3.0, or we call it WOW3. Unstoppable WOW3. And the mission is really clear and very inclusive. The first is that we want to make Web 3.0 accessible for everyone. The second is we don't want to just say we want it accessible for everyone, we want to help with that first step. We're going to be giving away $10 million worth of domains from Unstoppable which we believe is that first step into Web 3.0. And then we're going to be action oriented. We don't want to just say we're going to help you get started or just say that Web 3.0 is accessible, we're going to launch education, networking, and events. So for example, we've got our first in person event that will occur at South by Southwest. Our first virtual event will occur on March 8th which is International Women's Day and there'll be two components of it. One is an hour YouTube Live so that people can come in and ask questions and then we've got a 24 hour Twitter space. So almost every half an hour or every hour on the hour, you're going to have these amazing women talk to you about what is DeFi? What is minting? What is Web 3.0 all about? Why gaming in Web 3.0? I mean, it's just going to be phenomenal. And in that we want to support each other as we're moving forward. This whole concept of from the very beginning, we want Web 3.0 to be diverse. >> And I want to also point out that you've got some activities on the March 8th International Women's Day but it's always every day in this community because it's a community. So this whole idea of community inclusion continues every day. Talk about those activities you're having on March 8th. Can you share what's happening on International Women's Day? >> Yeah, so first we're going to have a YouTube Live where we're going to go in detail into what is Web 3.0? What is DeFi? What is an NFT and why do they exist? Then we're going to have this 24 hour Twitter spaces where we've got all these different guest speakers from the 55 different companies that are supporting the initiative. We're also going to launch a list of the 100 most inspirational women of Web 3.0. We're going to do that twice a year. And we decided John not to do the top women, but the women that are inspirational, who are pioneering the trail, who are having an impact. And so we want it to be a community. So it's 100 of the most inspirational women of Web 3.0. We're also setting up a Web 3.0 Women's Speakers Bureau. So I cannot tell you, John, how many time people will call me up and they'll be like, "We really want you to speak here." And when I really get down to it, they really want me because I'm a woman that can speak about Web 3.0 but there are so many women who can do this. And so I wanted to have a place where everybody could come and see how many different diverse people we have that could speak out this. >> Yeah, and that's a great thing because there are a lot of women who can speak on this. They just have to have their voices found. So there's a lot of discovery in that format. Is there any plans to go beyond? You mentioned some workshops, what other things... Can you give another quick highlight of the things else you're doing post the event? >> Yeah, so one of the big things post the event is working with Girls in Tech, and I know you know Adriana. We are going to host on their platform. They have a platform for mentoring. We're going to host a track for Web 3.0 and during International Women's Day, we're going to auction off some NFTs that will contribute to that mentoring platform. So we've got folks like Lazy Lions and Bella and Deadheads that are going to donate NFTs. We'll auction those off and then that will enable the ongoing platform of Girls in Tech to have that mentoring that will be available for the next generation. We'll also do events, both virtually through Twitter spaces and other means as well as in-person events. I just mentioned at South by Southwest which I'm really looking forward to. We're going to have our first in-person event on March the 12th. It's going to be a brunch. A lot of the women told me, John, that they go to all these Web 3.0 or crypto events and everything's like a frat party in the evening. And they're like, "Why can't we just have a nice brunch and sit down and talk about it?" (John laughs) So at South by Southwest that is exactly what we're going to do. We're going to have a brunch and we're going to sit down and talk about it with all of these companies. And John, one of the things that's amazing to me is that we have over 55 companies that are all coming together to support this initiative. To me, that was just overwhelming. I was hoping to get about 20 companies and so far we have 55. So I'm feeling so excited and so empowered by what I see as the potential for this group. >> Yeah, well, first of all, congratulations. That's a really great thing you're doing. If you need place on theCube to post those videos, if you can get copies, we'd be glad to share them as well 'cause it's super important to get all the great minds out there that are working on Web 3.0 and have them showcased. I got to ask you now that you're in the trenches now, doing all this great work. What are some of the buzzwords that people should know about in Web 3.0? You mentioned to five main pillars as well as the ownership, the paradigm shift, we got that. What are some of the buzzword that people should know about? How would you rank those? >> Well, I think there are a couple. Let's see. I mean, one is if you think about it, what is a decentralized application? Some people call them Dapps. Dapps, you'll hear that a lot. And a decentralized application just means that you are leveraging and using multiple forms. There's no centralization of the back end. So everything is decentralized or moving around. Another is the gas fee. This comes up a lot, many people think, "Oh yeah, I put gas in my car." But a gas fee in Web 3.0 is you're actually paying for those decentralized computers that you're using. So in a centralized land, a company owns those computers. In a decentralized land, since you're using all these different assets, you've got to pay for them and that's what the gas fee is for. The gas fee is to pay for those particular types of solutions. And many of these terms that we're talking about minting, what is an NFT, we'll be explaining all of these terms on International Women's Day in that 24 hour Twitter space as well. >> We'll look forward to that Twitter space. We'll share as well. In the Web 3.0 world, when you look at it, when you look at what Unstoppable's doing, it's a paradigm shift. You laid it out there. What is the bottom line? What's the most practical thing people are doing with the domains? 'Cause it is definitely headroom in terms of capability, single sign on, you own your own data, integrating into wallet and decentralized applications and creating this new wave just like the web. More web pages, better search. More pages, the search has to get better, flywheel kicking in. What's the flywheel for Unstoppable? >> Well, I think the flywheel is the really around digital identity. It's why I came to Unstoppable because I believe that the data about you should be owned by you and that identity now travels with you. It's your wallet, it's your healthcare data, it's your educational records, and it's more. So in the future, that digital identity is going to become so much more important than it is today. And oh my gosh, John, it's going to be used in so many different ways that we can't even imagine it now. So for me, I think that digital identity and it really puts that ownership right in the hands of the members, not in anyone else's hands, a company, a government, et cetera. It puts the ownership of that data in your hands. >> I just love these big waves, these shifts, because you mentioned healthcare. Imagine an NFT is that sign on where you don't have to worry about all these HIPAA regulations. You can just say, "Here's me. Here's who I'm trusted." And they don't even know my name, but they know it's trusted. >> And everything just trickles down from there. >> That's right. >> And all the databases are called. It's all immutable. I got my private key. It unlocks so much potential in a new way. Really is amazing. >> I agree. And even just think about education. I was with Arizona State University and so my daughter took some classes at a community college and I wanted to get those classes and have those credits available for her university. How hard is that? Just to get that education and everything is paper and I had to physically sign, I had to physically mail it. It was pretty crazy. So now imagine that your digital identity contains all of your degrees, all of the skills that you've gone through all of your experiences, John. You told me before the show, all different experiences that you have that I didn't know about. I'm sure a lot of people didn't. What if you had that piece of you that would be available that you could use it at any time. >> It's locked in LinkedIn. There's a silo. Again, I'm a huge believer in silo busting going on. This new generation is not going to tolerate experiences that don't fit their mission. They want to have liberation on their data. They don't want to be the product. They want to have the value. >> That's right. >> And then broker that value for services and be able to be horizontally scalable and pop around from place to place without logging in again or having that siloed platform have the data like LinkedIn. You mentioned my resume's on basically LinkedIn, but I got webpages. I got some stories. I got videos. I'm all over the place. I need an NFT. >> And just think about LinkedIn, John. You could say that you graduated from Yale and didn't even graduate from Yale because nobody double checks that but in a wallet, if Yale actually sent that information in so you could verify it. It's that verification that's done over the blockchain, that immutable verification that I find to be very powerful. And John, we were just chatting with some companies earlier today that are Web 2.0 companies and they're like, "Oh, okay. All this is just for people? It's just for consumers?" And I was like, "No, this is for B2B. You've got to start thinking about this as a company." So for example, if you're a company today, how are you going to entice users to let you see some of their data? How are you going to look at ownership when it might be done via a dow and maybe a part of a piece of art, a part of a company, a part of real estate, like Parcel who you guys are going to talk to later on. Look at how that is going to change the world. It's going to change the way funds are raised. It's going to change the way you buy carbon credits, the way you buy art. If you're a consumer company, think about games and endgame economics. People are now playing game that money is real and your brand could be positioned. Have you thought about that? >> Yeah, I think that point you mentioned earlier about Twitter being the user, you had some personal connection, we didn't monetize it. Now with Web 3.0, you own it. One of the things that I see happening and it's coming out a lot of the Unstoppable interviews as well as what we're seeing in the marketplace is that the communities are part owners of the talent of whether it's an artist, a music artist, could be theCube team. The communities are part of the fabric of the overall group ownership. So you're starting to see you mentioned dows, okay? It's one kind of it. So as users become in control of their data and owning it, they're also saying, "Hey I want to be part of someone else." Artists are saying, " Be my stockholder. Own my company." >> That's right. >> So you start to see ownership concept not just be about the individual, it's about the groups. >> Right. And it's about companies too. So I'm hoping that as part of our Unstoppable Women of Web 3.0, we do have several companies who have joined us that are what I would say, traditionally Web 2.0 companies, trying to go over the chasm into Web 3.0. And I do think it's really important that companies of all types and sizes start looking at the implication of that ownership model and what that does. So for example, it's a silly one, but a simple one. I bought a Lazy Lion. It was actually part of my signing bonus, which is also interesting. My signing bonus was an NFT and now my Lazy Lion, I now own that Lazy Lion but the artist also gets a potential percentage of that. I can put my Lazy Lion on a t-shirt. I could name a store after my Lazy Lion because now it's mine. I own it. I own that asset. And now myself and the artists are teamed together. We're like a joint venture together. It's fascinating new models and there are so many of them. After ETHDenver, I was reading some of the key takeaways. And I think the biggest key takeaway was that this space is moving so fast with so much new information that you really have to pick one or two things and just go really deep so that you really understand them versus trying to go so wide that you can't understand everything at one time and to keep up it's a mission today to keep up. >> That interesting example about the Lazy Lion, the artist in relationship with you, that's a smart contract. There's no law firm doing that. It's the blockchain. Disintermediation is happening. >> It's trustless. Back to those five things we talked about. It's on the blockchain, it's decentralized at least partially, it's a digital identity, it's financially beneficial to you and it's trustless. That's what that is. It's a smart contract. There's no in between >> Can't change. It's immutable. Can't hack. Once it's on the blockchain, you're good to go. Sandy, well, congratulations. Great to see you. Unstoppable Women of Web3, WOW3. Great acronym. We're going to support you. We're going to put you on our March 8th site we're putting together. Great to have you on. Congratulations and thanks for sharing the big news. >> Thank you so much, John. Great to be on. >> Okay, this is theCube coverage of Unstoppable Domain partner showcase. I'm John Furrier, your host, here with Sandy Carter. Thanks for watching. (upbeat music)
SUMMARY :
and thanks for coming on for the showcase. It's so fun to always be here with you are all in the Web 3.0 world. It's quite fascinating to be honest. you have a good knack and I helped to attract And I love that slide And I always like to say And so one of the things This is like the earth that the more diverse First of all, I love the And in that we want to support each other on the March 8th International Women's Day So it's 100 of the most highlight of the things else that they go to all these I got to ask you now that that you are leveraging More pages, the search has to get better, and that identity now travels with you. Imagine an NFT is that sign on And everything just And all the databases are called. all different experiences that you have going to tolerate experiences and be able to be horizontally scalable that I find to be very powerful. One of the things that I see happening So you start to see ownership that you really have to It's the blockchain. to you and it's trustless. We're going to put you Great to be on. of Unstoppable Domain partner showcase.
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Dustin Kirkland, Apex | CUBE Conversation, April 2020
>> Announcer: From the CUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Welcome to this special CUBE conversation. I'm John Furrier here in Palo Alto, California. In our remote studio, we have a quarantine crew here during this COVID-19 crisis. Here talking about the crisis and the impact to business and overall work. Joined by a great guest Dustin Kirkland, CUBE alumni, who's now the chief product officer at Apex Clearing. This COVID-19 has really demonstrated to the mainstream world stage, not just inside the industry that we've been covering for many, many years, that the idea of at-scale means something completely different, and certainly DevOps and Agile is going mainstream to survive, and people are realizing that now. No better guest than have Dustin join us, who's had experiences in open source. He's worked across the industry from Ubuntu, Open Stack, Kubernetes, Google, Canonical. Dustin, welcome back to the CUBE here remotely. Looking good. >> Yeah, yeah, thanks, John. Last time we talked, I was in the studio, and here we are talking over the internet. This is a lot of fun. >> Well, I really appreciate it. I know you've been in your new role since September. A lot's changed, but one of the things why I wanted to talk with you is because you and I have talked many times around DevOps. This has been the industry conversation. We've been inside the ropes. Now you're starting to see, with this new scale of work-at-home forcing all kinds of new pressure points, giving people the realization that the entire life with digital and with technology can be different, doesn't have to be augmented with their existing life. It's a full-on technology driven impact, and I think a lot of people are learning that, and certainly, healthcare and finance are two areas, in particular, that are impacted heavily. Obviously, people are worried about the economy, and we're worried about people's lives. These are two major areas, but even outside that, there's new entrepreneurs right now that I know who are working on new ventures. You're seeing people working on new solutions. This is kind of bringing the DevOps concept to areas that quite frankly weren't there. I want to get your thoughts and reaction to that. >> Yeah, without a doubt, I mean, the whole world has changed in 30 short days. We knew something was amiss in China. We knew that there was a lot of danger for people. The danger for business, though, didn't become apparent until vast swathes of the work force got sent home. And there's a number of businesses and industries that are coping relatively well with this. Certainly those who have previously adopted, or have experienced, doing work remotely, doing business by video, teleconference, having resources in the cloud, having people and expertise who are able to continue working at nearly 100% capacity in 100% remote environments. There's a lot of technology behind that, and there are some industries, and in particular, some firms, some organizations, that were really adept and were able to make that shift almost overnight. Maybe there were a couple bumps along the way, some VPN settings needed to be tweaked, and Zoom settings needed to be changed a little bit, but for many, this was a relatively smooth transition, and we may be doing this for a very long time. >> Yeah, I want to get your thoughts, before we get into some of the product stuff that you guys are working on and some other things. What's your general reaction to people in your circles, inside industry and tech industry, and outside, what are you seeing a reaction to this new scale, work from home, social distancing, isolation, what are your observations? >> Yeah, you know, I think we're in for a long haul. This is going to be the new normal for quite some time. I think it's super important to check on the people you care about, and before we get into dev and tech, check on the people you care about, especially people who either aren't yet respecting the social distancing norms and impress upon them the importance that, hey, this is about you, this is about the people you care about, it's about people you don't even know, because there are plenty of people who can carry this and not even know. So definitely check on the people that you care about. And reach out to those people and stay in touch. We all need one another more than ever, right? I manage a team, and it's super important, I think, to understand how much stress everyone is under. I've got over a dozen people that report to me. Most of them have kids and families. We start out our weekly staff meeting now, and we bring the kids in. They're curious, they want to know what's going on. First five, 10 minutes of our meeting is meet the family. And that demystifies some of what we're doing, and actually keeps the other 50 minutes of the meeting pretty quiet in our experience. But it's really humanized an aspect of work from home that's always been a bit taboo. We laugh about the reporter in Korea whose kid and his wife came in during the middle of a live on-air interview. There's certainly, I've worked from home for almost 12 years, like, those are really uncomfortable situations. Until about a month ago, when that just became the norm. And from that perspective, I think there's a humanization that we're far more understanding of people who work from home now than ever before. >> It's funny, I've heard people say, you know, my wife didn't know what I did until I started working at home. And comments to seeing people's family, and saying, wow, that's awesome, and just bringing a personal connection, not just this software mechanism that connects people for some meeting, and we've all been on those meetings. They go long, and you're sitting there, and you're turning the camera off so you can sneeze. All those things are happening. But when you start to think about, beyond it being a software mechanism, that it's a social equation right now. People have shared experiences. It's been an interesting time. >> Yeah, and just sharing those experiences. We do a think internal on our Slack channel every day. We try to post a picture. We call it hashtag recess, and at recess we take a picture of walking the dogs, or playing with the kids, or gardening, or whatever it is, going for a run. Again, just trying to make the best of this, take advantage of, you know, it's hard working from home, but trying to take advantage of some of those once in a lifetime opportunities we have here. And my team has started pub quiz on Fridays, so we're mostly spread across, in the U.S., so we're able to do this at a reasonable hour, but the last couple of Fridays, we've jumped on a Zoom, downloaded a pub trivia game, most of us a crack a beer, or glass of wine, or a cocktail, and you know, it's just, it actually puts a punctuate mark on the end of the week, puts a period on the end of the week. Because that's the other thing about this, man, if you don't have some boundaries, it's easy to go from an eight or nine hour normal day to 10, 12, 14, 16 hour days, Saturday bleeds into Sunday bleeds into Monday, and then the rat race takes over. >> You got to get the exercise. You have a routine. That's my experience. What's your advice for people who are working at home for the first time? Do you have any best practices? >> I actually had a blog post on this about two weeks ago and put up almost a shopping list of some of the things that I've assembled here in the work from home environment. It's something I've been doing since 2008, so it's been there for a good long while. It's a little bit hard to accumulate all the technology that you need, but I would say, most important, have a space, some kind of space. Some people have more room or less, but even just a corner in a master bedroom with a standup desk, some space that is your own, that the family understands and respects. The other best practice is set some time boundaries. I like to start my day early. I'll try to break more a little bit for that recess, see the family some, and then knock off at a reasonable hour, so establish those boundaries. Yeah, I've got a bunch of tips in that blog post I can shoot you after this, but it's the sort of thing that, be a bit understanding, too, of other people in this situation for the first time, perhaps. So you know, offer whatever help and assistance you can, and be understanding that, man, things just aren't like they used to be. >> That's great advice. Thanks for the insights. Want to get to something that I see happening, and this always kind of happens when you see these waves where there's a downturn, or there's some sort of an event. In this case it's catastrophic in the way it vectored in like this and the impact that we just discussed. But what comes out of it is creativity around entrepreneurial activity, and certainly reinvention, businesses reforming, retrenching, resetting, whatever word, pivot, digital transformation, there's plenty of words for it. But this is the time where people can actually get a lot done. I always comment, in my last interview I did, you know, Shakespeare wrote Macbeth when he was sheltering in place, and Isaac Newton invented calculus, so you can actually get some work done. And you're starting to see people look at the new technology and start disrupting old incumbent markets, because now more than ever, things are exposed. The opportunity of recognition becomes clearer. So I wanted to get your thoughts on this. You're a product person, you've got a lot of product management skills, and you're currently taking this DevOps to financial market with fintech and your business, so you're applying known principles and software and tech and disrupting an existing industry. I think this is going to be a common trend for the next five years. >> Yeah, so on that first note, I think you're exactly right. There will be a reckoning, and there will be a ton of opportunities that come out of this for the already or the rapidly transformed digital native, digital focused business. There will be some that survive and thrive here. I think you're seeing a lot of this with the popularity of Zoom that has spiked recently. I think you're going to see technologies like DocuSign being used in places that, some of those places that still require wet signatures, but you just can't get to the notary and sign a, I don't know, a refi on your mortgage or something like that. And so I think you're going to see a bunch of those. The biggest opportunities are really around our education system. I've got two kids at home, and I'm in a pretty forward thinking school district in Austin, Texas, you know, but that's not the norm where our teachers are conducting classes and assignments over Zoom. I've got a kindergartener and a second grader. There's somewhat limits to what they can do with technology. I think you're going to see a lot of entrepreneurial solutions that develop in that space, and that's going to go from K through 12, and then into college. You think about how universities have had to shift and cancel classes, and what's happening with graduation. I've got a six and an eight year old, and I've been told I need to save $200,000 apiece for each of them to go to college, which is just an astounding number, especially to someone like me, who went to an inexpensive public university on a scholarship. Saving that kind of money for college, and just thinking about how much more efficient our education system might be with a lot more digital, a lot more digital education, digital testing and classes, while still maintaining the college experience, what that's going to look like in 10 years. I think we're going to see a lot of changes over these next 18 months to our educational system. >> Dustin, talk about the event dynamics. Physical events don't exist currently. Certainly, when they do come back, they should, and they will, the role of the virtual space is going to be highlighted and new opportunities will emerge. You mentioned education. People learn, not just for school, whether they're kids, whether they're professionals, learning and collaboration, work tools are going to reshape. What's your take on that marketplace, because we got to do virtual events. You can't just replicate a physical event and move it to digital. It's a complex system. >> Yeah, you're talking about an entire industry. We saw the Google Events, Google Next, Google IO, the Microsoft Events, just across the, I'm here in Austin, Texas, all of South by Southwest was canceled, which is just, it's breathtaking. When does that come back, and what does it look like? Is it a year or two or more from now? Events is where I spend my time, and when I get on a plane, and I fly somewhere, I'm usually going to a conference or trade show. Think about the sports industry. People who get on a plane, they go to an NFL game. John, I don't have all the answers, man, but I'm telling you, that entire industry is rapidly, rapidly going to evolve. I hope and pray that one day we're back to a, I can go back to a college football game again. I hope I can sit in a CUBE studio at a CUBE Con or an Open Stack or some other conference again. >> Hey, we should do a rerun, because I was watching the Patriots game last night, Tom Brady beating the Chiefs, October from last year. It was one of the best games of the season, went down to the wire, and I watched it, and I'm like, okay, that's Tom Brady, he's still in the Patriot uniform on the TV. Do we do reruns? This is the question. Right now, there's a big void for the next three months. What do we do? Do we replay the highlights from the CUBE? Do we have physical get togethers with Zoom? What's your take on how people should think about these events? >> Yeah, you know, the reruns only go so far, right? I'm a Texas Aggie, man. I could watch Johnny Football in his prime anytime. But I know what happened, and those games are just not as exciting as something that's a surprise. I'm actually curious about e-sports for the first time. What would it look like to watch a couple of kids who are really good at Madden Football on a Playstation go at it? What would other games that I've never seen look like? In our space, it's a lot more about, I think, podcasts and live content and staying connected and apprised of what's going on, making-- Oh, we locked up there for a second. It's, I think it's going to be really interesting. I'm still following you guys. I certainly see you active on social media. I'm sort of more addicted than ever to the live news, and in fact, I'm ready to start seeing some stuff that doesn't involve COVID-19, so from that perspective, man, keep churning out good content, and good content that's pertinent to the rest of our industry. >> That's great stuff. Well, Dustin, take a minute to explain what you're doing at Apex Clearing, your mission, and what are you guys excited about. >> Yeah, so Apex Clearing, we're a fintech. We're a very forward-focused, digitally-focused fintech. We are well positioned to continue servicing the needs of our clients in this environment. We went fully remote the first week of March, long before it was mandatory, and our business shifted pretty seamlessly. We worked through a couple of hiccups, provisioning extra VPN IP addresses, and upgrading a couple of service plans on some of the softwares, the service we buy, but besides that, our team has done just a marvelous job transitioning to remote. We are in the broker, dealer, and registered advisor space, so we provide the clearing services, which handles stock trades, equity trades, in the back end, and the custodial services. We actually hold, safeguard, the equities that our correspondents, we call our clients correspondents, their retail customers end up holding. So we've been around in our current form since about 2012. This was a retread of a previous company that was bought and retooled as Apex Clearing in 2012. Very shortly after that, we helped Robinhood, Wealthfront, Betterment, a whole bunch of really forward-looking companies reinvent what it meant to buy and sell and trade securities online, and to hold assets in a robo advisor like Betterment. Today, we are definitely well-known, well-respected for how quickly and seamlessly our APIs can be used by our correspondents in building really modern e-banking and e-brokerage experiences. >> So you guys-- >> So that went-- >> Are you guys like a DevOps platform-- >> We're more like software as a service for fintech and brokerage. So our products are largely APIs that our correspondents use their own credentials to interact with, and then using our APIs, they can open accounts, which means get an account number from the systems that allows them to then fund that account, connect via ACH and other bank connectivity platforms, transfer cash into those accounts, and then start conducting trades. Some of our correspondents have that down to a 60-second experience in a mobile app. From a mobile app, you can register for that account, if you need to, take a picture of an IED, have all of that imported, add your tax information, have that account number associated with your banking account, move a couple hundred dollars into that banking account, and then if the stock market's open, start buying and selling stock in that same window. >> Great, well, I wanted to talk about this, because to the earlier bigger picture, I think people are going to be applying DevOps principles, younger entrepreneurs, but also, reborn, if you will, professionals who are old school IT or whatever, moving faster. And you wrote a blog post I want to get your thoughts on. You wrote it on April second. How we've adapted Ubuntu's time-based release cycles to fintech and software as a service. What is that all about? What's the meaning behind this post? You guys are doing something new, unique, or-- >> To this industry and to many of the people around me, even our clients and customers around me, this is a whole new world. They've never seen anything like it. To those of us who have been around Linux, open source, certainly Ubuntu, Open Stack, Kubernetes, it's just standard operating procedures. There's nothing surprising about it, necessarily. But either it's some combination of the financial services world, just the nature of proprietary software, but also the concept of software as a service, SaaS, which is very different than Ubuntu or Kubernetes or Open Stack, which is released software, right. We ship software at the end of an Ubuntu cycle or a Kubernetes cycle. It's very different when you're a software as a service platform, and it's a matter of rolling out to production some changes, and those changes then going live. So, I wrote a post mainly to give some transparency, largely to our clients, our correspondents. We've got a couple hundred customers that use the Apex platform. I've met with many of them in a sort of one-on-many, one-to-one, one-on-many basis, where I'll show up and deliver the product road map, a couple of product managers will come and do a deep dive. Part of what we communicate to those customers is around, now, around our release cycles, and to many of them, it's a foreign concept that they've just never seen or heard before, and so I put together the blog post. We shared it internally, and educated the teams, and it was well-received. We shared it externally privately with a number of customers, and it was well-received, and a couple of them, actually a couple of the Silicon Valley based customers said, hey, why don't you just put this out there on Medium or on your blog or under an Apex banner, because this actually would be really well-received by others in the family, other partners in the family. So I'm happy to kind of dive into a couple of the key principles here, and we can sort of talk through it if you're interested, John. >> Well, I think the main point is you guys have a release cycle that is the speed of open source to SaaS, and fintech, which again, proprietary stuff is slower, monolithic. >> Yeah, the key principle is that we've taken this, and we've made it predictable and transparent, and we commit to these cycles. You know, most people maybe familiar with Ubuntu releasing twice a year, right, April and October, Ubuntu has released every April and October since 2004. I was involved with Ubuntu between 2008 and 2018 as an engineer, an engineering manager, and then a product manager, and eventually a VP of product at Canonical, and that was very much my life for 10 years, oriented around that. In that time, I spent a lot of time around Open Stack, which adopted a very similar model. Open Stack's released every six months, just after the Ubuntu release. A number of the members of the technical team and the committee that formed Open Stack came out of either Ubuntu or Canonical or both, and really helped influence that community. It's actually quite similar in Kubernetes, which developed independent, generally, of Ubuntu. Kubernetes releases on a quarterly basis, about every three months, and again, it's the sort of thing where it's just a cycle. It happens like clockwork every three months. So when I joined Apex and took a look at a number of the needs that we had, our correspondents had, our relationship managers, our sales team, the client-facing people in the organization, one of the biggest items that bubbled straight to the top is our customers wanted more transparency into our road maps, tighter commitments on when we're going to deliver things, and the ability to influence those. And you know what, that's not dissimilar from any product managers plight anywhere in the industry. But what I was able to do is take some of those principles that are common around Ubuntu and Kubernetes and Open Stack, which by the way, are quite familiar. We use a lot of Ubuntu and Kubernetes inside of Apex, and many of our correspondents are quite familiar with those cycles, but they'd never really seen or heard of a software as a service, a SaaS vendor, using something like that. So that's what's new. >> You've got some cycles going now. You've got schedules, so just looking here, just to get this out there, 'cause I think it's data. You did it last year in October, November, mid-cycle in January of this year. You've got a couple summits coming up? >> Yeah, that's right, we've broken it down into three cycles per year, three 16-week cycles per year. So it's a little bit more frequent than the twice a year Ubuntu, not quite as frenetic as the quarterly Kubernetes cycles. 16 weeks time three is 48. That leaves us four weeks of slack, really to handle Thanksgiving and Christmas and end of year holidays, Chinese New Year, whatever might come up. I'll tell you from experience, that's always been a struggle in the Ubuntu and Open Stack and Kubernetes world, it's hard to plan around those cycles, so what we've done here is we've actually just allocated four weeks of a slush fund to take care of that. We're at three 16-week cycles per year. We version them according to the year and then an iterator. So 20A, 20B, 20C are our three cycles in 2020, and we'll do 21A, B, and C next year. Each of those cycles has three summits. So to your point about we get together, back in the before everyone stopped traveling, we very much enjoyed twice a year getting together for CUBE con. We very much enjoyed the Open Stack summits and the various Ubuntu summits. Inside of a small company like ours, these were physical. We'd get together in Dallas or New York or Chicago or Portland, which is the four places we have offices. We were doing that basically every six weeks or so for one of these summits. Now they're all virtual. We handle them over Zoom. When they were physical, we'd do the summit in about three days of packed agendas, Tuesday, Wednesday, Thursday. Now that we've gone to virtual, we've actually spread it a little bit thinner across the week, and so we've done, we've poked some holes in the day, which has been an interesting learning experience, and I think we're all much happier with the most recent summit we did, spreading it over the course of the week, accounting for time zones, giving ourself, everyone, lunch breaks and stuff. >> Well, we'll have to keep checking in. I want to certainly collaborate with you on the virtual digital, check your progress. We're all learning, and iterating, if you will, on the value that you can do with these digital ones. Try to get that success with physical, not always easy. Appreciate, and you're looking good, looking good and safe. Stay safe, and great to check in with you, and congratulations on the new opportunity. >> Yeah, thanks, John. >> Appreciate it. Dustin Kirkland, chief product officer at Apex Clearing. I'm John Furrier with the CUBE, checking in with a remote interview during this time when we are getting all the information of best practices on how to deal with this new at-scale, the new shift that is digital, that is impacting, and opportunities are there, certainly a lot of challenges, and hopefully, the healthcare, the finance, and the business models of these companies can continue and get back to work soon. But certainly, the people are still sheltered in place, working hard, being creative, be the coverage here in the CUBE. I'm John Furrier, thanks for watching. (bright electronic music)
SUMMARY :
Announcer: From the CUBE studios in Palo Alto and Boston, and people are realizing that now. and here we are talking over the internet. This is kind of bringing the DevOps concept and Zoom settings needed to be changed a little bit, that you guys are working on and some other things. and actually keeps the other 50 minutes of the meeting and you're turning the camera off so you can sneeze. it actually puts a punctuate mark on the end of the week, You got to get the exercise. all the technology that you need, but I would say, and this always kind of happens when you see these waves and that's going to go from K through 12, and move it to digital. We saw the Google Events, Google Next, Google IO, This is the question. and in fact, I'm ready to start seeing some stuff and what are you guys excited about. on some of the softwares, the service we buy, that allows them to then fund that account, I think people are going to be applying DevOps principles, of the key principles here, and we can sort of a release cycle that is the speed of open source to SaaS, and the ability to influence those. just to get this out there, and the various Ubuntu summits. and congratulations on the new opportunity. and hopefully, the healthcare, the finance,
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Lauren Spahn, Shackelford, Bowen, McKinley & Norton | CUBEConversation March 2020
(upbeat music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're at our Palo Alto studios today. And obviously, what's top of the news is the coronavirus and COVID-19, and it's having a direct impact on anything where people get together. We're obviously really tied into the convention space. But we're excited to have an expert in the field coming at it from a different kind of point of view, more from the entertainment side. We'd like to welcome, calling in from Tennessee, Lauren Spahn. She is a partner for Shackelford, Bowen, McKinley, or excuse me, but yeah, McKinley & Norton. Lauren, great to see you. >> Hey there, how are ya? >> Jeff Frick: Good. So we were introduced through kind of the process of the South by Southwest cancellation. Before we get into it, tell us a little bit about kind of what you do, what type of clients do you have, who do you guys kind of represent? >> Yeah, sure, so I practice primarily in entertainment law here in Nashville. But I work with a variety of people in the music industry, whether it be artists or music festivals, record labels, publishing companies, you name it, across the US. So I do a lot of work in L.A. and New York as well. And our firm specializes in a little bit of everything, but our national hub is kind of the spearhead for the entertainment and music practice. >> So it's pretty interesting 'cause we're not so directly involved in entertainment, but we do go to a lot of conferences. And, I think, for us, the watershed moment this year was Mobile World Congress earlier this year in February, 100,000 people in Barcelona, Spain. That's a little unique because most of the main vendors are Asian in terms of all the mobile carriers and the handset tech carriers. But, you were saying before we turned the cameras on, that now the South By Southwest event cancellation is kind of sending the same shock waves if you will through the entertainment industry. >> Yeah, I mean South By Southwest obviously is a big coming together of multiple industries. You know, music, film, TV, technology, but it really was one of the first events that were canceled that impacted the music industry. And so, such a large conference to completely cancel, really just started, it was the tip of the iceberg, or I think what we are going to continue to see across the sphere in music whether its tours being canceled or music festivals that are being canceled, everything is kind of starting to ramp up, and were starting to see the effects from South By Southwest line. >> Jeff Frick: Right. So, one of the things that really is just kind of a splash of cold water, is these things are going down it just really highlights the interconnectedness of all these different parts of these events, right? whether it is the primary promoter or the primary bands in the case of South By Southwest or even the tech companies, but then there are tons and tons of secondary, third and other vendors that are involved from food and transportation and the list goes on and on. So, you're quoted quite often in the press about talking about force majeure and that this is something that kind of comes up in contract law when these types of events happen. So, I wonder if you can kind of explain the dictionary definition of force majeure and how do you see it kind of executed traditionally in a contract where maybe one person just can't uphold their part of the deal and how that contrasts with something like this, which is hitting kind of both sides of the agreement, if you will. >> Completely. So, I think it's important to step back and look at if we are going to use a music festival as an example. You have a contract, the music festival itself will have a contract with the artist, but they will also have contracts with their vendors, with the production team that comes in and sets up the staging and the sound and the light. There are a myriad of contracts and so, the language in each contract tends to govern the relationship between the festival and that third party. So, in this situation of let's use an artist, for example. There is different things in the contract that point to how you can cancel and what happens when you cancel. A force majeure is an example of that. And force majeure is something that is outside of the control of both parties. So, again, the festival and the artist. If something like the Coronavirus is coming, neither one of those parties can control that from happening. And so it typically relieves both parties of any obligation to move forward with the contract. What is important, though, is the language that's in that force majeure provision. So, you sometimes will see language like sickness or an epidemic. But then, you may not have that, and you may have language that says, a local or national state of emergency. So, depending upon the state you're in, depending upon the exact situation in the city that you are holding the event, all of those things can be looked or looked to to interpret whether or not the language that's in that force majeure contract will impact you or will give you the rights to cancel that event without having to pay additional money. >> Jeff Frick: Right. >> And so, you know, not only that but you're then seeing it carried out through the insurance policies, as well. So, even if you have force majeure language whether or not the insurance company will help cover the losses for you again depends upon the exact language that's in your insurance policy. >> Jeff Frick: Right. >> So, across the board, it really is a contractual right, that can differ for the different people that are involved. >> Right. But, there's the contractual, the language in the contract, but then there is kind of this random stuff that comes up. And, we hear kind of act of God kind of thrown up by insurance companies when it's something they haven't defined in all the fine language. And then, the other piece that we're hearing about a lot in the news here on Palo Alto, right is the specific descriptive terms used by the authorities. Is it a pandemic? Is it an outbreak? Is it a natural disaster? Is it a state of emergency called by the government? >> Or other. So, how does that figure in on something like we're experiencing? I don't know that we've seen anything quite like this before. >> You know, I was looking back through some contracts earlier this morning because I had a potential cancellation that was going to happen, and I mean some contracts go as far as to even describe the Swine Flu and similar things like that but we really are looking to the authorities to see what decision they are making on everything. And whether or not they are calling it a local state of emergency because a lot of times that exact definition or that exact cause is defined in the agreement . But, yeah, I mean really it comes down to small print wording in this situation, if you are looking at the contract itself to see what rights that you have. What I found is that people aren't going to the nitty gritty of at least the contracts, you're probably going to get into the nitty gritty of the insurance policy, if you have a chance of getting any kind of protection. But, at the end of the day, the artist doesn't want to go play a festival that could potentially cause their fans to have some outbreak of the Coronavirus. An event doesn't want to be liable for holding an event that could be connected with that, as well, because across the board, that creates a PR nightmare for whoever's making that decision. So, you're seeing people that are trying to work together to figure out exactly how we're going to handle things, and what we're going to do moving forward, because no one is going to win in this situation. >> [Jeff Frick} Right. Right. >> It's really just figuring out a way that we can all be in the best position possible across the board. >> Yeah. And I think that's what we're kind of seeing a lot too, where, you know, I think everyone is again instead of just one party that's not upholding their part of the deal and the other party getting screwed on that, this is really, you know, we're kind of in it together, this has kind of come down on both of our houses so how do we work together to minimize the pain and at least, kind of get through this window that we assume will pass at some point or at least the current heightened state will go. But, I just wonder if you have an opinion on, from a legal point of view, and it's not your space, so if you say no that's an okay answer, but, you know, if you look at kind of market forces is determining what is the appropriate action, right? Because we don't really know what's the right action. But, clearly, the market is defined based on activity and the University of Washington shutting down and Stanford shutting down >> Vanderbilt >> Almost is a self-imposed kind of semi-quarantine state, which is just, you know the latest now I think they get the local high school basketball game is they can only have 100 people in the stands in the biggest building they can find and everybody needs to spread out. So, it's just been very interesting to see you know kind of what is the appropriate response. What's the right response? Because ultimately it seems like it's driven by nobody wants to be the one that didn't take the max precautions and something bad happens. >> To be honest, I don't think that anyone really knows. You know, it really is the conversations right now are not the artist's agent calling the festival and saying we're absolutely not doing this The conversation is more so, hey what are you guys seeing? What are you guys thinking? What's the best way to handle this? You know, no one wants to put the consumers and the fans at risk. And, you know, until we have a better handle on exactly how we handle this type of situation, it's really going to be people doing their best to try to not create a situation that's going to, you know, cause some kind of massive outbreak. >> Right. Right. >> If you look at, you know, something like South By, no one wants to cancel, you know. It really impacts, not only the company and the event itself, but really everyone that's associated to it, has a financial hardship because of that decision, but the decision isn't made because someone wants to do it, it's made because collectively, you know, people are feeling like it needs to be done in order to keep people safe. >> Right. >> And if they didn't think that, they'd probably go ahead and try to hold the event and, you know, risk the liability. But, I think people truly want what's in the best interest of everyone. And that's why they are working together to try to figure this out. >> Yeah. Yeah. It really is driven home what social creatures we are when you start to kind of disconnecting crowds and groups of people from so many events and it just continues to ripple through whether it's our business, a convention business, the entertainment business, you know March Madness is coming up here in a very short order. What's going to happen there all the way down to you know, the local talent show for the local middle schoolers that they used to have before graduation, which is now canceled. So, it's interesting times. >> And I think for us, the biggest indicator in terms of just music festivals is going to be what happens with Coachella. And, you know, Billboard and Variety have reported that they're looking to potentially reschedule the event to October, if artists are able. And if not, they're going to have to completely cancel it for this year. And, you know, Coachella is such a massive festival that attracts people from all over the world. And if Coachella is canceled then I think there is a good chance that so long as this is continuing at the speed it is, that we're going to see a lot more music festivals canceled. >> When is Coachella scheduled? >> It starts in about a month. >> In about a month. >> So it's the second weekend in April, but they have to start production and really building out the grounds now. >> Wow. Wow. >> And so the decision kind of has to be made before then. And then, I wouldn't be surprised if we see a decision there in the next few days. >> Yeah. I think I would take the short if I was in Vegas, because there's just not enough data, I don't think, to go forward based on the current situation. I'm glad I'm not the one sitting in that chair. >> Yeah. It'd be a tough position. >> All right, well Lauren, well thank you for sharing your insight and, you know, it's great to get the perspective of another you know kind of industry that's all built around bring people together. And, I think we probably both would agree that this time will pass and we'll get a vaccine out, we'll get the growth curves to start to flatten out and go down which is where they need to go. And then you know I think it will be a different time, but hopefully things will get approximate a little bit more to normal in the not too distant future. >> Yeah, fingers crossed. I hope it gets figured out sooner rather than later and we can all have our summers full of conferences and festivals and the gathering of people. >> Yep. All right Lauren. Well thanks again for your time >> Thank you >> And have a great Tuesday. >> Awesome. You too. >> Alrighty. She's Lauren. I'm Jeff. Thanks for checking in on this Cube Conversation. We'll catch you next time. (upbeat music)
SUMMARY :
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Andrew Ko, AWS | AWS Imagine 2019
>> From Seattle, Washington, it's the Cube! Covering AWS Imagine, brought to you by Amazon web services. >> Hey welcome back everybody, Jeff Rick here with the Cube. We're in downtown Seattle at the AWS Imagine EDU Conference, it's the second year of the conference, we came up last year, I think it was like 400 people, this year's like 800 people, like all the Amazons, it grows and grows and grows. Really again, specifically a carve out from the public sector group, all about education, that's K-12, that's higher education, it's community college education, it's retraining vets, it's a huge thing. We're really excited to have the ring leader this whole event, he's just coming off the keynote, he's Andrew Ko, he's a global education director for AWS, working for Teresa. Andrew, great to see you. >> Thank you very much for having us here. >> What an event! >> Yes! >> And good job on the keynote, you guys covered a lot of different segments. This education opportunity challenge-- >> Yah. >> Is so multifaceted. >> Yes. >> Now how do you kind of organize again, what are the ways that you kind of look at this opportunity? >> Well, that's a great point, we could go on for days and for so many of the important topics, but we've really broken it down into three themes that we've carried on from last year. Really wanted to help and assist when it comes to employability. As we talk about the growth of AWS Cloud, what we're finding is there's a tremendous amount of lack of skilled talent to really fulfill those demands. So workforce is one of those particular areas. Secondly, we're seeing a tremendous growth on machine learning. The way to really predict things, whether it's student success or research. Finally, we also have a third theme that is come around innovation and transformation. Not so much always about the IT, but how are people moving along quickly on their Cloud journey? And really enabling a lot of their stakeholders, like researchers, medical centers, as well as students, to really adopt and learn technology but also embrace it in very very new innovative ways. >> Right. It's it's funny, there was a video showed in the keynote with Andy and I just want to pull the quote where you said it's not about protecting today, the infrastructure-- >> Yup. >> And we've joked many times on air about if when the time machine and you pulled somebody from 1760 and they came here-- >> Andrew: Yah. >> The only thing they'd recognize is the schoolhouse, right? >> Andrew: Right. >> But you guys are really working to change that. Everything from really, Cloud as an infrastructure efficiency play-- >> Andrew: Right. >> All the way through Cloud as an enabler for innovation, doing some really crazy things with Alexa and some of the other projects that are underway. >> Absolutely. And and we always start with our customers first. They're really the ones that have that vision and want to ensure that it's improved, and so we're excited to be a part of that journey. And as just a couple examples on how that is starting to change, is through this adaptive way of looking at information and data, and as an example as I mentioned that we're going to have an incredible panel sessions of many of our speakers, and one of which I like to call out is with the California Community College. They have over 2.1 million students at any given year, and now with the technology, they can start to try to look at patterns of success for students, patterns of challenges, and really start to make education more interactive, which is a one-way like what you were mentioning maybe it was a hundred years ago. >> Right, with the chalkboard. (chuckles) >> So it's so funny with, we talk about ML and AI-- >> Yup. >> You know, everyone's talks in the paper about, you know, the machines are going to take all of our jobs, but if you go to the back pages of the paper, I don't know if they have that anymore-- >> Yah. (chuckles) >> There's a whole lot of open recs, right? >> Yup. >> People can't hire fast enough for these jobs-- >> Right. >> So it's actually that's a much bigger problem than them taking jobs away right now, so this re-skilling is really really significant. >> Absolutely. And we always say that there's not necessarily always a jobs gap, but it's really a skills gap that are going unfulfilled. So there is a change in a lot of the talents that are required, but that's why it's so important for us representing education. That's not just about the infrastructure but how do we better prepare not just the learners of today that need some re-skilling, but also the learners for tomorrow, and provide them a pathway in a way to be interested in it, but also more importantly, getting jobs. >> Jeff: Right. >> The end of day, it's not just about a learning thing, it's about an economic thing. And so we're finding all those announcements as you heard earlier, such as Brazil. With SENAI, they're going to now announce that this curriculum is going to be available for 2.5 million education learners across the entire country, working with 740 universities so we're really excited to be behind that, and we would love to take the credit but really it's our customers, it's our leaders, it's those individuals that are really cutting edge and making those things happen. >> Jeff: Right. So again, last year was a lot about the community college and the certification of those programs, the accreditation. This year you're introducing bachelor programs, and-- >> Yes. >> Really amazing statement in the keynote about the governor of the state of Louisiana-- >> Yes. >> Basically dictating the importance of having a four-year degree based on Cloud skills. That's pretty significant. >> It's exciting. I mean, and I would say, as living in Virginia we're excited to see Northern Virginia alongside with Santa Monica Community College and Columbus Day Community College jointly together created, it wasn't us that created it, it was actually the faculty members and we got together created it, and the governor of Louisiana just took it to the next level. He really, alongside with his leadership team, of the individual leaders of the state community colleges as well as the universities said not only are we going to adopt the two-year across the state but we're going to have it articulate, allowing for students to get credit at the four-year. >> Jeff: Right. >> And why that's important, Jeff, is that we want to make sure that the pathway has on-ramps of how and where you can intersect and to get re-skilled, but also off-ramps. Some of them may get jobs right away at community college, some of them want to go to a four-year and go have more deeper learning and a different experience so-- >> Jeff: Right. >> All those options are now open. >> Right. >> And having that governor just indicates that it's important at a massive massive scale. >> Jeff: Yah. So another thing, we we have to talk about Alexa right? I forget how many millions of units you said are sold-- >> Hundred million devices last time I checked, yah. 70,000 skills. >> Lots and lots of skills, right, the skills. So it's pretty interesting in terms of really kind of helping the universities, beside just be more efficient with the Cloud infrastructure but actually appeal to their customers' students-- [Andrew] Yah. >> In a very very different way. And a pretty creative way to use Alexa and what's what's fascinating to me is I don't think we've barely scratched the surface-- >> Andrew: That's correct. >> Of voice, as a UI. >> Andrew: Yah. >> We won't. We're old, we have thumbs. (chuckles) >> But the kids coming up, right? Eventually that's going to flip-- >> Andrew: Right. >> And it's going to be more voice than keyboards so you guys took an interesting tack from the beginning, opening up the API to let people program it, versus just learning-- >> Absolutely. >> Another method. So some exciting skills, what are some of the ones that that surprise you as you go around-- >> Well-- >> To visit these customers? >> There's so many of them, it's hard to announce and discuss all of them but I would definitely say yes, this next generation, not the old fuddy-duddies like me, learn very differently now. And they're expecting to learn very differently and I think voice and natural user interface is going to be the big thing that people are going to be comfortable to talk to things and have responses back, and some of the things that we announced with our partners, well actually a few weeks ago that we mentioned in the keynote, like Kahoot!, one of the larger interactive ways of young students learning from gamification. Now they can actually speak to it, and engage in much different ways rather than just typing on a keyboard or or coding or typing things in phones, so that's exciting. Or ACT. As you just mentioned earlier, you have a young rising sophomore in a university. They probably had to, she or he had to probably study in order to get into college. Well, what if there was a voice-enabled advisor of how to take the test and the examination and that's what ACT launched. >> Jeff: Right. >> Just some small examples, and now we want to extend that excitement by encouraging other education technology companies to enroll their application by South by Southwest that we're going to announce the winners there-- >> Jeff: Right. >> Next year. So to have a lot of energy, have the educators, and just build on that incredible momentum. >> Alright Andrew, so before I let you go, I know that you got a couple thousand people here waiting to talk to you. (chuckles) The other thing is you guys have gone outside the classroom, right? >> Mm-hmm. >> Really interesting conversation about helping active-duty marines learn how to use data. Really interesting conversations about bringing the big data revolution more heavily into research and more heavily into medical and more heavily into those types of activities that happen at top-tier universities. >> Andrew: Yah. >> Really different way to again apply this revolution that's been happening on the commercial side, the enterprise side into which we play, and and helping people adapt and and evolve and really embrace big data as a tool in solving these other problems. >> Absolutely. And I think you mentioned some very important points there. Number one for us, we always think of learners as individuals that are just growing up through the educational system. But we also have learners that are lifelong learners, that have changing careers or alternating changing, so we're excited to be a part of the announcement with Northern Virginia Community College where they created a special program for Marine Corps, so they can come out and learn data intelligence, that would be applied for all, but also focused with the Marine Corps individuals there to really learn another skill set and apply it to a new occupation. >> Jeff: In their active duty. This is not for when they come out-- >> Absolutely. >> For for re-train. This is in while they're in their >> Very important. >> In their existing job. >> Absolutely. And that so that when they come out they have now applied skills in addition to the skills that they've learned being in the Marine Corps, so that they can also become really productive right after their enlistment there. >> Jeff: Right. >> And then you mentioned about research, I mean that is also an exciting thing that people so often also forget, that education also extends out there, and so like UCLA, they've created a new department blending medicine as well as engineering to tackle very important research like cancer and genomics, and so those complicated facets are now no longer is IT a separate conversation, but it's an infused way where much more high-performance computing can handle some interesting research to accelerate the outcomes. >> Right. Well Andrew, well thanks for inviting us to be here for the ride. We've we've been along the AWS ride (chuckles) >> For a while, from summits in 2012 and reinvents so we know it's going to grow, we're excited to watch it, and we'll see you next year. >> Jeff, thank you very much, and the ride is just beginning. >> Alright. He's Andrew, I'm Jeff, you're watching the Cube, we're in downtown Seattle at the AWS Imagine EDU Conference. Thanks for watching. (upbeat music)
SUMMARY :
Covering AWS Imagine, brought to you by Amazon web services. We're really excited to have the ring leader And good job on the keynote, and for so many of the important topics, and I just want to pull the quote where you said But you guys are really working to change that. and some of the other projects that are underway. and so we're excited to be a part of that journey. Right, with the chalkboard. So it's actually that's a much bigger problem but also the learners for tomorrow, that this curriculum is going to be available the community college and the certification Basically dictating the importance of having of the individual leaders of the state community colleges is that we want to make sure that the pathway has on-ramps And having that governor just indicates I forget how many millions of units you said are sold-- Hundred million devices last time I checked, yah. Lots and lots of skills, right, the skills. And a pretty creative way to use Alexa We're old, we have thumbs. what are some of the ones that that surprise you and some of the things that we announced with our partners, and just build on that incredible momentum. I know that you got a couple thousand people here about helping active-duty marines learn how to use data. that's been happening on the commercial side, so we're excited to be a part of the announcement This is not for when they come out-- This is in so that they can also become really productive and so those complicated facets are now to be here for the ride. so we know it's going to grow, we're excited to watch it, we're in downtown Seattle at the AWS Imagine EDU Conference.
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Liza Donnelly, The New Yorker | WiDS 2019
>> Live from Stanford University. It's the Cube covering global Women in Data Science conference brought to you by Silicon Angle media. >> Welcome back to the Cube. I'm Lisa Martin Live at the Stanford Ari Aga Alone, My Center for the Fourth Annual Women and Data Science Conference with twenty nineteen and were joined by a very special guest, Liza Donnelly, cartoonist for The New Yorker. But Liza, you are a visual journalists, visual journalism. You're here live, drawing a lot of the things that are going on. It would. You were just at the Oscars at the Grammys. Your work is so unique, so descriptive. Tell us a little bit our audience about what is visual journalism? >> Well, I suppose a lot of us define it different ways. But I did find it is somebody who I am, somebody who goes to events, either political or social, cultural and draw what I see. I'm not a court reporter. I'm I'm an Impressionist. I give people a feeling that they're they're with me from what? By what I draw what I see, how I draw it, and and it's I don't usually put any editorializing in those visual drawings, but my perspective is sort of a certain kind of approach. >> So you're bringing your viewers along this journey in almost real time. When people see people might be most failure with New Yorker your illustrations there. But folks that are watching the Woods event lie that engaging with that tell us a little bit about the importance of using the illustrations to bring them on this journey as if they were here. >> Well, you know, I send the drawings out immediately, do them on my iPad and I send them out on social media almost immediately, so as I do that so that people can see them immediately. So they feel like they're there, and it's a way to draw attention to whatever it is I'm drawing. Because on the Internet, there's so many words in so many photographs, people see a drawing by other stream that like, Wait, what's that? And I'm a thumb stopper, in other words, so it's. It gives people different perspective on what's going on. And I think that my background is a cartoonist for The New Yorker for forty years. Informs these drawings in an indirect background kind of way, because I have been watching culture have been watching politics for a very long time, so it gives me a, you know, a new attitude or a way to look at what's going on, >> right? And so you you call these illustrations, not cartoons. >> I do call the cartoons cartoons. Okay, we'll do the cartoons for the for >> The New Yorker and some other magazines, and those have a caption, and they often are supposed to be funny, or at least cultural commentary. I do political cartoons for medium, and those also have it have a point of view, are a caption. But the's this visual journalism like I'm doing here is more like reportage. It's more like this is what's happening here. You might be interested in seeing what people are talking about, what they're doing and I do behind the scenes to I don't just do like the Oscars. I'll do the stars if I could get them. And on the red crime on the red carpet, it's really cool. If I catch them, I'll draw them. And then But then I also do the people taking out the trash, the guy painting, you know, painting the sideboard or the counterman, things like that. So I try to give a sense of what it's like to be there. >> So you really kind of telling a story from different perspectives. Yes, right. Yeah. And so the role of I'd love to understand you mentioned being with the New Yorker for very long time and loved. You understand from your perspective, the evolution of cartoons and the impact they can make in in our society, in politics and economics. Tell us a little bit about some of the impacts that you've seen evolve over the last few decades. >> Well, I've written about >> that. I'm also a writer. I've written about that for a very sites. Did a commentary on op ed for The New York Times about the Charlie Hebdo's murders a couple years ago because we know cartoons can be very controversial. Yes and problematic Nick. And that's been true through the course of the history of our country, and I'm sure in England and other countries as well. But it's compounded. Now because of the Internet. I think cartoons could be misunderstood that could be used as weapons. People are gonna be talking about this next week at the South by Southwest. I'm talking about political cartoons and what what their impact has been in the past and how, >> how they, how they create an impact now >> and why that is, and how we could use it to the to our to good effect. You know, not a divisive tool, which I think is a problem that we're dealing with right now in our culture is everybody's so divided and so opinionated and so hateful towards each other. Can we use cartoons? Not to perpetuate that, but to make things better in some way. >> And that's kind of the theme of Wits, Women and Data Science Conference. You know, we're talking Teo and listening Teo at the live event here at Stanford and all of those around the world. It's really strong leaders and data sign. So we think of data science on DH, the technical skills. But data is generated. We generate tons of it as people, right with whatever we're buying, what we're watching on Netflix. But we're listening to on Spotify, etcetera. There's this data trail that we're all leaving, and we know you talked about using cartoons for good. Same conversations that we have on the data side, about being able to use data for good for cancer research, for example, rather than exposing and being malicious, that's interesting. Parallel that you've seen over the years that there is a lot of potential here. Tell me a little bit about the appetite in. Maybe we'll say the millennials and the younger generations for cartoons as a tool for positive the spread of positive social news and not fake news. >> Well, there. I know that >> there's more and more cartoons on the Internet now. A lot of Web comics and cartoonists are young. Cartoonists are using the Internet effectively, too. Put out their ideas. In fact, I when the Internet hit, I was mid career right, and it just took off and helped me become Mohr more well known just by leveraging the Internet. No, because I love it. You know, I love Communicate. It's >> actually it's really an extension >> of what I did as a child learning to draw, communicate with people. I was shy. I don't want to talk. The Internet is just a matter of for me. It's like a dialogue with people on DH. That's how I look at it, and I I think this new generation is really trying to find ways to use these tools in a good way. I think there's a whole new, you know, the kids in their >> twenties. I think they're trying >> to make a better world, are working on it, and that's exciting. >> You talk about communication and how you used your artistic skills from the time you were a child to communicate. Being shy. We also talk about communication in the context of events like the women, the data science, where it isn't just enough to be ableto understand and have the technical acumen to evaluate complex, messy data sets. But the communication piece kind of go back, Teo sort of basic human scaled, being able to communicate effectively. This is what I think the data say and why, and here's what we can do with it. So I think it's interesting that you're here at this event. That has a lot of parallels with communication with using a tool or information for the betterment off a little bit about how you got involved with women in data science. >> Well, I met Margot Garretson >> about five years ago, and through a mutual friend, we met in Iceland. All places >> like it's conference >> about women's rights. It was, it was the Icelandic women are so powerful anyway. We met there, really, to be good friends, and she invited me to come live, draw her new conference at the time. I think she had one year of it, and I thought, data science, OK, >> did you even know what >> that Wass? Yeah, kind of. But I didn't think I didn't see my connection. But I thought, Well, it's about women's rights and >> I'm a big part of my interest in what I want to do with my work is promote equal rights for women around the world. And so I thought, this this sounds terrific. Plus, it's global, and I do a lot of work globally to help them and help freedom of speech as well. So it seemed to be a great fit on DH and and it seems even more to be a good fit in that. It's a way to get the information out there in a visual way because people will hear that word data, and they like they probably just >> start. Yeah, zero because >> they see it connected with a cartoon or drawing it humanizes it for them a little bit. And if I could do that, that's great. And that's what's also fun is that I thought about this today was drawing the speakers, and I'm drawing one of the speakers. I forget her name right now, but I thought and I put it out on the Internet. There were no words on there, but it was just a woman speaker talking about really very technical data science. I put on the Internet with the caption on the tweet and I thought, People, it's it's it's just a constant reminder to people that women are doing this. And it's not a silly not like writing a long essay about why women should be in data signs and why they are and why they're important. But they're doing great things. But if you see it, it resonates a little bit more quickly and more forcefully. >> Absolutely. And it aligns with what we hear and say a lot of we can't be what we can't see. >> That's right. Yeah, that's a saying right where you said that. >> Yes. I'm not sure I'd love to take credit for it. Sure >> would be if she can see it, she could be it. That's another >> thing. That a young girl, she's my drawing of a professor talking on stage. Maybe she'll think about it. >> Absolutely. So in the last few seconds here, can you just give us a little bit of an idea of how you actually What What inspires you when you're seeing someone give a talk like you mentioned about maybe an esoteric or a very technical top? What do you normally look for? That's that Ah ha moment that you want to capture in ten minutes. >> Well, I try to capture that person's essence. I'm not a caricaturist. I don't pretend to be, but I draw >> a likeness of them, and they're the full body is the best body language. You know, they're just tick yah late ing. And then oftentimes I try to capture a sentence that they're saying that has has more universal appeal that somehow brings like a not like a layman into the subject A little bit. If I can find that sentence in what they're saying, I'll put that you have the speech balloon will be saying that. But I just try to capture the person best. I can >> do anything if you compare two wins. Twenty eighteen. Here we are a year later. Even more people here, the live event, even more people engaging and think Margo's that about twenty thousand live today. One hundred thousand over. I think the one hundred thirty plus regional with events, anything that you hear, see or feel that's even more exciting this year than last year. >> Um, well, I do. I do feel the >> the increase in numbers. I can feel it. There's there soon be more people here I don't true, but the senior more young people here, what else is it is it is a buzz. I think there's a >> There's an energy >> is an energy. Not that there wasn't there last. The last I've >> done three years now. It's been there, but there's a certain excitement right now. I think more women are stepping into this field of being recognized for doing so. >> And it's great that you're able Tio, reach, help wigs, reach an even bigger audience and tell this story with your illustrations in a more visual way, way also. Thank you so much, Liza, for taking some time. Must daughter by the Cuban talked to us. It's an honor to meet you And you. I love your drawings. >> Thank you so much. You >> want to thank you for watching the Cube? I'm Lisa Martin Live at the fourth annual Women and Data Science Conference at Stanford's took around. Be right back with my next guests.
SUMMARY :
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Gabriel Shepherd, Hosho | HoshoCon 2018
from the Hard Rock Hotel in Las Vegas it's the cube recovering no joke on 2018 brought to you by Osho okay welcome back everyone we're here live here at hosts show con in Las Vegas the first security conference for blockchain its inaugural event and we're here with Gabriel Shepherd VP of strategy at Global Strike for host show they're the hosts of the event although it's an industry conference for the entire community all coming together Gabriel thanks for coming on and spend the time yeah thanks for having me thanks for you know supporting the event and we appreciate your team coming out and covering what we're trying to build here well we think it's super important now so you guys are doing a great service for the industry and stepping up and put in the event together and so props to you guys thank you this is not a hosts show sales like conference you guys aren't selling anything you're doing the service for the community so props to you guys in the team great stuff and we know this is a kernel of all the smartest people and its really an industry event so it shows in the session so appreciate that yes we think it's important because you know we see a lot of trends the queue has a unique advantage in how we cover hundreds of events and yeah so we get to go we see a horizontal observation space from the industry and when you have formation like this with the community this is important you guys have up leveled the conversation focused the conversation around blockchain where security is the top-level conversation that's it no I feel pitches right so for the folks watch and this is really one of those events where it's not a huge number of people here like the thousands and thousands of other blockchain shows that make money off events this is about community and around getting the conversations and having substantive conversations so great job so for the folks watching the content agenda is super awesome host show con-com you go browse it but give us some color commentary on some of the types of speakers here the diversity yeah I think I think the first thing that we wanted to accomplish was with Hojo Khan was we we wanted to put front and center the conversations that were not taking place at other events there are plenty of platforms and opportunities for companies early-stage companies to go pitch there are other great conference organizers that do events and have their own wheelhouse but what we wanted to do was put together a conference that was focused around a type of conference that we ourselves would want to attend as a cybersecurity firm and you know after traveling the world I mean you know you you and artesia spoke many times and hosho has sponsored quite a few events around the world after attending by the end of 2018 will attended something like a hundred plus events in some capacity and so it was clear to us early on that companies weren't our conferences weren't going to focus on security or at least put them on the main stage where I believed that they should be at least with all the hacks happening so what we wanted to do was bring together thought leadership with respect to security technical leadership with respect to developers and security engineers and we wanted to bridge those two what I mean by that is we wanted thought leadership that could get executives to start the non-technical people so start thinking about security in the larger format and how it's applicable to their company but what we also wanted to do is we wanted to connect these non-technical people with the technical people in an intimate setting where they could learn think about the brain power that we have in this hotel for hosho Khan you've got the minds of Andre Assante innopolis Diego's LDR of RSK Michael berkland of shape-shift josub Kuan of hosho we've got Ron stone from c4 you've got an on Prakash a world-class white hat bug bounty hunter consider what he's top-5 bug bounty hunter for our top top bug bounty hunter for Facebook five years in a row the the level of the calibre of technical talent in this building has the potential to solve problems that Enterprise has been trying to solve individually for years but those conversations don't take place in earnest with the non-technical people and so the idea behind hoshikawa was to bridge those to provide education that's what we're doing things like workshops sure we have keynotes and panels but we also have the ability to teach non-technical people how to enable two-factor authentication how to set up PGP for your email how to set up your hardware wallet these things aren't these conversations are not the bridge is a clearly established we interview people from on the compliance side all the way down to custodial services which again the diversity is not a group think events just giving them more props here because I think you guys did a great job worthy of promotion because you not only bridge the communities together you're bringing people in cross functionally colonizing and the asset test for me is simple the groupthink event is when everyone's kind of rah rah each other I know this conditions we got Andre is saying hey if you put database substitute database for blockchain and it reads well it's not a real revolutionary thing and oh all you custodian services you're screwed I mean so you have perspectives on both side that's right and there's contentious conversation that's right and that to me proves it and as well as the sessions are highly attended or we don't want it we don't want a panel of everybody in agreeance because we know that's not reality i mean that you you bring up the issue of curse of custody a prime example is we had a great talk a four-person panel led by Joe Kelly who's the CEO of Unchained Capital he had a panel with traditional equities custodian Paul pooi from edge wallet Joseph Kwon is the CEO of hosho and there was clear differences of opinion with respect to custody and it got a little contentious but isn't that the point yeah it's to have these conversations in earnest and let's put them out in the public on what's right and what's wrong for the community and let the community to decide the best way forward that's the best is exactly what you want to do I gotta ask you what are the big surprises for you what have you learned what's the big reveal for you that you've super surprised you or are things you expected what were some of the things that went on here yeah I think the biggest surprise to me was the positive feedback that we received you know I understand that we know people maybe looked at how shock on year one and said hosho like they're a cybersecurity firm what are they doing running a conference right but my background is a you know I've produced conferences I have a former employee of South by Southwest I believe a big an experience and so when we started to put this together we thought we knew we would make mistakes and we certainly made mistakes with respect to programming and schedule and just things that we had didn't think about attention to detail but we had plans far in that the mistakes were mitigated that they weren't exposed to the public right there behind the scenes fires that kind like a wedding or a party but no one actually really notices sure we put them out behind the scenes nobody that the our guests don't notice and that was my biggest concern I'm pleasantly surprised at the positive feedback we've yet to get any negative feedback publicly on Twitter telegram anecdotally individually people now they made just being nice to my face but I feel good about what the response that we've got it's been good vibes here so I gotta ask you well sure the DJ's were great last night good experience yeah experience and knowledge and and networking has been a theme to correct I lost him the networking dynamics I saw a lot of people I had I had ran to some people I met for the first time we've had great outreach that with the queue was integrated in people very friendly talked about the networking and that's been going on here yeah I mean this panels are great I'd love to hear from from panels and solo presentations but a lot of work gets done in the hallways and we have a saying in the conference business hallway hustlers right the ones that are hustling in the hallways are those early stage entrepreneurs or trying to close deals trying to figure out how to get in front of the right person serendipitously are at the bar at the same time as somebody they want to meet that is to me conference 101 that is the stuff I grew up on and so we wanted to make sure that we were encouraging those interactions through traffic flow so you'll notice that they're strategically the content rooms are strategically placed so that when you're changing rooms people are forced to cross interact with each other because they're forced to bump into each other and if you look at the programming we purposefully to our demise to be honest year one put a lot of programming that was conflicted with each other we made people make a decision about what talk they wanted to go to because there were two really compelling people at the same time or 10 minutes off yeah and so you had to make a decision vote with your feet you got to vote with your feet and and and from a conference perspective we call that FOMO right we want our guests to FOMO not because we want them to miss a particular talk but because we want them to be so overwhelmed with content and opportunity with networking that they when they walk away they've had a good experience they're fulfilled but they they think I got to go back here too because that thing I missed I'm not gonna miss this yeah we will point out to you guys made a good call on film all the session everything so everything's gonna be online we'll help guys do that yep so the video is gonna be available for everyone to look on demand you also had some good broadcast here we had a couple shows the cubes been here your mobile mention the DJs yeah yeah so good stuff so okay hallway conversations our lobby con as we call it when people hang up a lot on it's always good hallway con so what Gabriel in your mind as you walked around what was some of the hallway culture that you overheard and and that you thought were interesting and what hall would cartridges were you personally involved in the personal conversations I was involved with is why isn't somebody not this station why someone not Gardens but I will tell you i from what I heard from from conference attendees the conversations that I heard taking place were and I hope Jonathan doesn't mind but Jonathan Nelson from hack fund spoke on our main stage and I hope he doesn't mind me speaking out of turn but he came to me said this is one of the best run blockchain conferences I've ever been to and to have somebody like Jonathan say that who has done hundreds of talks and thousands was really meaningful but but what was more important is to talk to him and him feel comfortable enough to sit down with me and just talk generally that's the vibe we want for every attendant we want you to feel comfortable meeting with people in the hallway who you've never met and be vulnerable from a security perspective you know Michael Turpin for example sitting down and talking proactively about being the AT&T hack great these are opportunities for people to really talk about what's happened and be vulnerable and have the opportunity to educate us all how to get better as an industry you know the other thing I want to get your thoughts on is obviously the program's been phenomenal in the content side thank you but community is really important to us we're of a community model to q you guys care about the community aspect of this and as a real event you want to have an ongoing year after year and hopefully it'll get bigger I think it will basically our results we're seeing talk about the community impact because what you're really talking about there is community that's right well I mean Vegas we talk about there's multiple communities right regionally post-show is a Vegas based company we're born here we close I think forty some employees all based here in Las Vegas which is our home so the first thing that we did with respect to community as we created a local local price if you're a Nevada resident we didn't want you to have to invest a significant amount of money to come to something in your own town the second thing we did is we've invited the local Vegas Bitcoin meet up in aetherium meet ups to come and partake and not only participate but contribute to the content and opening day in fact there was so much influx of people from those meetups it wasn't official it wasn't like a program where we had actually a VTEC set up I thought I was gonna be like a meet-up there were so many people that attended we had to on the fly provide AV because we were overwhelmed with the amount of people that showed up so that's a regional community but with respect to the community from blockchain community what we wanted to do is make sure we brought people of all ethnicities all countries we have 26 countries represented in the first blockchain security conference and you had some big-name celebrities here yeah Neil Kittleson Max Keiser you go mama Anan Prakash Yakov Prensky a layer from your side pop popcorn kochenko has some big names yeah I'll see andreas yes here keynoting yeah I'm Michel parkland andreas Diego Zaldivar I mean these lena katina Viren OVA I mean these are big names yeah these big names okay what so so what's your takeaway of you as you know my takeaway is that there's a there's a yearning for this type of event my takeaway is that we're doing something right we have the luxury as hosho and that we're not an events company people think that might be a disadvantage to run a confident you're not a cotton vent company I think it's an advantage yeah because it holds my feet to the fire yeah much closer than an event organiser who doesn't have a company reputation and brand to protect hosho as you know has a good brand in the cybersecurity world with respect to blockchain we don't have the luxury of throwing a poor event giving you a bad experience because that would tarnish house of but also your in the community so you're gonna have direct feedback that's right the other thing too I will say I'm gonna go to a lot of events and there are people who are in the business of doing events and they have a profit motive that's right so they'll know lanyards are all monetize everything is monetized yeah and that sometimes takes away from the community aspect correct and I think you guys did a good job of you know not being profligate on the events you want to yeah a little bit of cash but you didn't / yeah / focus on money-making finding people right for the cash you really needed about the content yeah and the experience for and with the community and I think that's a formula that people want yeah I would like to see the model I would like to see the model changed over time if I'm being honest a majority of crypto conferences today are paid to play so a lot of the content you're getting this sponsored so I'm okay with that but I think it should be delineated between con disclose your disclosure you don't want water down the country but but the conference circuit and crypto is not ready for that it hasn't rest in my opinion hasn't reached that level of maturation yet like I told you I I'm a former South by Southwest guy that like my belief is you create the content and the sponsors will come I don't I don't begrudge conference organizers for for for sponsoring out events because they're really really expensive a cost per attend to manage demand to this hype out there yeah hundreds of dollars per attendee I get it I understand why they do it but what I would like to see is the model change over time whereas as we get more sophisticated as a technology space we should also grow as a vent and conference circuit as well what I mean by that is let's change the model that eventually someday it's free for all attendees to come and those conferences and the costs associated with them are subsidized by companies that want access to the people that are tending them it sounds like an upstream open source project sure how open source became so popular you don't screw with the upstream yep but you have downstream opportunities so if you create a nice upstream model yep that's the cube philosophy as well we totally agree with you and I think you guys are onto something pioneering with the event I think you're motivated to do it the community needs it yeah I think that's ultimately the self governing aspect of it I think you're off to something really good co-creation yeah I'll see we believe in that and the results speak for themselves congratulations thank you so much I appreciate you guys coming here and investing your time and I hope that all our staff has been accommodated and the hard rock is treated you well you guys been great very friendly but I think again you know outside of you guys is a great company and great brand and you guys and speaks for itself and the results this is an important event I agreed because of the timing because of this focus its crypto its crypto revolution its cybersecurity and FinTech all kind of coming together through huge global demand I mean we haven't gotten into IOT and supply chain yeah all the hacks going on with China and these things being reported this is serious business is a lot on the line a lot and you guys having a clear focus on that is really a service business Thank You staff doing it alright our cube coverage here in Las Vegas for host Joe Kahn this is the first conference of its kind where security is front and center it is the conference for security and blockchain bringing the worlds together building the bridges and building the community bridges as well we love that that's our belief as well as the cube coverage here in Vegas tigress more after this short break
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Devin Cleary, PTC | PTC LiveWorx 2018
>> (Announcer) From Boston, Massachusetts, it's the Cube! Covering LiveWorx 18. Brought to you by PTC. >> Welcome back to the Seaport in Boston, everybody. This is day one of the LiveWorx show, PTC's big IoT user conference, but it's much, much more than that. My name's Dave Vellante, Stu Miniman. You're watching the Cube, the leader in LiveTech coverage. It's really our pleasure to have Devin Cleary here, he's the Director of Events at PTC. Dev, thanks so much for coming on The Cube, and thanks for putting together such a great show. >> Oh, thank you so much for having me. This is great. >> You're welcome. So, I say it's a user conference, but it's so much more. I mean, talk about what your intent was and what you've created, you and your team at LiveWorx. >> Absolutely. So for us, we take a step back in corporate events. And we're really trying to bring sort of a unique flair to the corporate events world. In a nutshell, we at PTC have a 25 year legacy of doing really powerful user events, and it was really an inspiration two years ago to kind of shake the mold. And again, no pun intended, be disruptive in the marketplace. So for us, we sort of coined a new term or strategy that we call Industry Inclusiveness. And this is something where we wanted to sort of break down the four walls of the company, and invite industry influencers, individuals who are leading the charge, inclusive of actual competitors, 'cause for us, it's better together. And the whole story and talk track around LiveWorx is collaboration accelerates innovation. So for us, we want to make sure we embrace a lot of different people, walks of life, and diversity, and the intent is to create a one time a week a year, successful program that focuses and profiles nine of the most disruptive technologies on the planet. So this is everything from robotics to AI, to IoT, to AR, blockchain, and so much more. And for us, this is really the essence of what LiveWorx has become, which again for us, we want everyone to know that this event is sort of the world's most respected digital transformation conference. >> So, couple things I want to point out. Well, so over 6,000 people here, the kickoff was in the theater-in-the-round I've only seen that-- We do over a hundred events every year, I've only seen it done twice, and it's worked both times. I think it's a home run when you do the theater-in-the-round. The intro was like, I tweeted out this morning, it was like an Olympic opening ceremony. I mean really, where do you get your inspiration from that? >> So, you know what, for us, I have a really amazing team that works with me and collaboratively. And for us, we really want to sort of challenge the status quo. So, we always look for things actually outside of the tech bubble, if you will. We look at music. We look at fashion. We look at art. We look at a lot of pop culture sort of references and that sort of stems our ideas of how we sort of nurture and create what we call the apex, or LiveWorx or what you saw this morning. And for us, I'm all about what I call delight moments. So these are moments that frankly are sort of above and beyond the core content of what the conference offers and just making people have a great time. Showmanship and entertainment is just as much important as the core again content that we offer at LiveWorx. >> Dev, you've got a big tent here with a lot of different topics. There's a show I go to, we talk about the random collision of unusual suspects, which this reminded me of. Can you talk a little bit about how in these diverse communities, yet we should see some overlap and some bumping together. >> Yeah. Absolutely. So, again with LiveWorx, and sort of again profiling these nine to ten most disruptive technologies out there, we're always trying to recruit people that are very diverse from various backgrounds. You know, one specific goal that we have, just from a geographic persepective is making sure that over half our audience is from international markets outside of the United States. So again, when you're bumping shoulders or walking the halls everywhere around us, you're guaranteed to hear someone that comes from a different walk of life, a different experience, a different educational background and that adds a lot of value to the overall conference. Now, again, we target everyone from administrators to engineers, developers and more because really this show runs the gamut on everything from product design and sort of the ideas of what you want to do, all the way through service, manufacturing, it is the full scope of industry 4.0. So, to your point, there's a lot of intersection and a lot of overlapping because every company, every person, every individual, wants to experience and learn how to embrace what we call disruptive tech. >> You know, again, we do a lot of shows and the vast majority, when someone like you guys brings us to a show, they want to showcase their products and basically pimp up their own stuff. You chose a different approach. First of all, thank you for that. So, this today has been all about thought leadership. Stu and I were saying it reminds us of some of the stuff we do with MIT. Where you have professors, you have thought leaders, talking about not, kind of frankly, some boring products. >> And it's not a sales pitch. >> Right, it's not a sales pitch. But, why that decision and what's your vision for where you want to take this thing? >> Yeah, so again, I would say that a lot of conferences, and this is no offense to my brothers and my sisters in the events world out there, but people are so sick and tired of going to the standard trade show. The days of pipe-and-drape and aisles of just being pitched to and receiving free stress balls, and hiring staff that might not even be employed by the company, but they just frankly look good, those days are completely over. In our audience, the technologists who really matter in this world, who are doing a lot of great work, they want that substance and that core content. So, for us, it's really a vision about that's embraced and sort of evolved into give back and let the content lead your success. And that is going to help amplify the voice and further the mission. We look at LiveWorx as a catalyst well beyond the company that employs me and the people that work for just these companies. We have a vision to make Boston an epicenter, a headquarters, a world-renown attraction for technologists world-wide knowing this city for IoT and for AR. And for us, we embrace the innovation district as that pallet, that backdrop, that environment to allow us to really accomplish that. So, LiveWorx is growing exponentially. We experienced double digit growth this year, which was amazing. Starting where I was only with this company two years ago and less than 25 hundred attendees and we're at 6,100 right now live on the show floor at LiveWorx. So the future is really bright for us, and we're embracing this notion of the convention center is only going to be constricting for so long. It's time that we also implode those four walls and we embrace the outside. And what our plans are going for, which I'm really excited to sort of announce, is we're going to be now becoming more of an industrial innovation week in Boston, and taking our plans mainstream. So, that means taking the content that we focus on, and the partners that we work with, and the industry thought leaders and now you start to actually replicate these events throughout the entire seaport. So, think of it, and again most of you know South by Southwest, I'm a big fan and an avid follower, think of it South by Southwest meets Industrial, and that is the future of this show. >> Love it, and you know, we're thrilled to be part of it. And it's palpable. You actually see now, in the seaport... You know, we were talking off camera, you can't compete with Silicon Valley or on terms with Silicon Valley does. You shouldn't even try. We're bicoastal, we have an office in Palo Alto we know it well. It's a unique vortex. But certainly, IoT, Blockchain, VR, there really is some clear innovation going on here so, if you can focus on that, you can actually really blossom an ecosystem and that's really what you're doing. >> Oh, absolutely. And, again, PTC has been headquartered here for over 25 years, they're a leader in industrial innovation. They're a company that believes in giving back. We have curated and nurtured through partnerships with Harvard Business School, with MIT Innovation Lab, etc. We have cultivated some of the greatest startups of our time right now, who are creating groundbreaking technology in IoT, in AR, that is changing the world. We're even actually doing work right now in our backyard with Boston Children's Hospital, for example. Doing incredible work with our Vuforia product in AR that's helping actually find a cure for Alzheimer's. So, again, the possibilities are endless, and the innovation is limitless. >> Well, you're the hot company right now, obviously growing very rapidly, you're kind of like the Comeback Kid. You're clearly punching above your weight. The Scott Kirsner article in the Globe was unbelieveable. >> (Devin) Thank you I know we're very... Shout out to Scott. >> And so, you got to be thrilled with that. But, what's interesting to me, Dev, is you're not... You could ride that wave, and just pump up PTC but you're doing things that will allow you to sustain this as a community member, paying it forward, you know, it's kind of a cliche, but that's what I see. Thoughts? >> A hundred percent. And, again, the way that we sort of frame LiveWorx is I want you to think of PTC as the presenting sponsor. They are an investor in the vision that this team has to carry forward the community and the movement all around industrial innovation. And again, we feel that Boston being sort of our headquarters in our backyard, it's important that we're giving back and again, furthering that opportunity to further solidify our right as a rightful heir of IoT and AR, as a city, as a community and as the state of Massachusetts. >> Dev, wondering if you could give our audience that didn't come to this event a quick flavor of what's going on, flavoring and I loved you had the Boston food trucks all right outside. They're a little warm. My friends from the west coast are like, "This isn't warm." But for Boston, it hit summer. But, give us a quick tour around what people missed. >> Yeah, so we're all about an immersive experience at LiveWorx. Again, you're going to have sort of a checklist of what you absolutely need to have at an event to sustain someone's expectations. So, the content, the networking, the value. But again, we like to take it a step further and things that I call delight moments. So, for example, this year in Extropolis, and Extropolis, for those of you at home, that is our sort of expectation shattering, ground-breaking, playground for adults in technology. So, every corner, every ounce, every inch of this show floor has something to engage, ignite the 5 senses and tell our story. And one example specifically that I love to highlight this year is I've actually created the vision with a whole slew of individuals from PTC and partners and whatnot. Something we call the X-factory. Manufacturing is one of the biggest industries in business in the world. Mostly every company at an enterprise level has some sort of manufacturing component to it. And what we wanted to do this year is create the factory of the future. Meaning, working with the leaders like McKinsey, and again HeroTech and global brands in Germany who are defining manufacturing and who founded manufacturing in our history, we have partnered with them to say, "What does that factory of the future look like? What are companies going to be doing five, ten, fifteen years from now and what can we expect?" You're getting that first at LiveWorx, which is awesome, and the whole process is "Let's not have a standard kiosk. Let's not do a laptop with a video. Let's actually build out a 20,000 square foot industrial factory with multiple stations from digital engineering to service to again, AR induced digital twins and everything else in between. And let's actually have every single attendee create, design and manufacture a smart connected product. We're working with our partner, Bell and Howell, from a shipping, service and supply chain perspective, and again, we are blowing the roof off this show on that one activation, and there's over a hundred in total throughout this entire show this week. So, that's a little bit of a flavor of LiveWorx. And beyond that, we do things, everything from a puppy daycare hour to sort of do a high tech low touch feel. We do incredible food presentations and we're going to be ending with a big bang tomorrow with our closing party called the Mix-It Six, which is one of my favorite programs the entire week. And that is actually a superhero themed event where we're actually having a guest host and a personal friend, Paul Rudd, who was the Ant Man for Marvel, he'll be hosting our event. And the whole notion around superheroes is that we tell everyone this week "Unleash your inner superhero". Take advantage of the technology that is on display, and realize how it can enable and empower you to now have superhuman powers. So, everything from AR giving you the power to see the invisible, to IoT helping you get the power to predict the future. Everything is possible and everything is creative at LiveWorx. >> Well, it's obviously working. And so, I'm sure the execs are seeing this going, "Great. Good Job. Way to go. We've got some momentum. Let's double down." But, you back up two years ago, how did you sell this to the folks? Cause we see a lot of guys like, "Alright, how many leads we going to get out. How much revenue we going to drive" How'd you get through that knothole? >> So, let's put it in this perspective. There's a lot of intrinsic and intangible ways to measure the success of a show, and the value and the impact brought to a company. One thing I would actually say, I've worked in the tech industry for over six years now, I've been in the events business for over a decade, I've worked for some of the most incredible and impressive, and media-driven startups in the world right now. PTC, though, is a very interesting ecosystem. Their executives actually embrace the notion of what I presented first and foremost, about again, industry inclusiveness as we call that term. And for us, we have a vision at PTC to be disruptive, to be ground-breaking. If we do not embrace that ourselves, as our culture and our business model, how do we hope someone else to believe in the product, and the vision and the mission that we set forth in the marketplace. >> And from that, you got a response of, "Yeah, let's do it." >> So, again, am I going to be a hundred percent honest and transparent? Was everyone embracing that a hundred percent? No. But again, I think the proof is in the pudding and I think again it's a leap of faith in saying, "Listen, take a chance. Be disruptive, and see what the product of our fruits of our labor could be." And again, here you have it three years later, triple the size of the audience, tripling the size of the success, seeing multiple customers, multiple partners multiple industry leaders now attaching themselves to this brand. So for us, LiveWorx is nothing greater than a record breaking success this year, and I'm so excited for the rest of you at home to experience on the live stream, or again check out 2019 June 10-13. >> June 10, right here. Right? >> (Devin) Right here again. >> Dev, first of all thanks so much for having The Cube here and making us a part of this awesome event and look forward to working with you in the future. Congratulations on all your success. >> Thank you so much. >> You're very welcome. By the way, check out thecube.net that's where all the videos here will be. Check out siliconangle.com all the editorial coverage. Wikibond.com is where the research is. We're a wrap here from LiveWorx day one. Dave Vellante, for Stu Miniman. Thanks so much for watching, we'll see you next time.
SUMMARY :
Brought to you by PTC. This is day one of the LiveWorx show, Oh, thank you so much for having me. and what you've created, you and the intent is to create the kickoff was in the outside of the tech bubble, if you will. we talk about the random and learn how to embrace some of the stuff we do with MIT. for where you want to take this thing? and that is the future of this show. You actually see now, in the seaport... in IoT, in AR, that is changing the world. the Globe was unbelieveable. Shout out to Scott. that will allow you to And, again, the way that that didn't come to this event and the whole process is "Let's And so, I'm sure the execs and the value and the And from that, you got a response of, the rest of you at home June 10, right here. with you in the future. all the editorial coverage.
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Steve Stewart, Vezt | Blockchain Unbound 2018
>> Announcer: Live from San Juan, Puerto Rico, it's the Cube, covering blockchain unbound. Brought to you by Blockchain Industries. (upbeat Cuban music) >> Hello there, and welcome back to our exclusive coverage. This is the Cube's coverage in Puerto Rico for Blockchain Unbound. We start week of variety of activities here on the island around blockchain, cryptocurrency, the decentralized internet, the future of work, the future of play, the future of society, all here, happening. My next guest is an entrepreneur. Steve Steward is the CEO and co-founder of that's V-E-Z-T. Really changing the game around music, relationship to fans, and using blockchain and tokens to enable that. Welcome to The Cube. >> Thank you so much John, it's great to be here. >> Thanks for coming on, so first talk a little bit about what your value proposition, what you guys are doing. Obviously, people who ever downloaded iTunes, and then said, "This sucks, let's go to Spotify." Now are going, "Hey, I'm on Instagram. "I have access to my artist directly." The internet is a response vehicle; one on one. Tell them about your opportunity. >> There's two value props. One for the consumer, right? So, if you're an artist fan, and you love a song. You love an artist. You want to be involved with that artist on a one to one basis, there's no way to do that right now. You can follow somebody on Twitter, you can like their YouTube, that doesn't connect you with them. Our platform let's you buy in, and by buy in I mean ownership. You own a piece of the IP with that artist in their song, so it's on a song by song basis. But if Ariana Grande's my favorite artist, I want to buy a little slice of her song for $10 or $100, I now have the opportunity to put that out there, and I can share in that royalty stream with her. And she and I will connect on a level. If she wants to take my information and send other things to me like concert tickets or backstage passes, that's possible now. So the value prop for the fan, is connection with the artist and ability to say, "I own a piece of that royalty stream. "I own a piece of that song." And on the artist side the value prop is, "I now get to actually share directly with my fans, "build that community directly. "There's no gate keeper like a label "or publishing company in the middle, "and I have the ability to reach out "and monetize directly based on demand and merit. "Then take that and do whatever I want "and build up my brand." >> So this is a great example where artists that have direct relationships, might be undervalued. Also, in a way there doing their own mini ICO, so to speak, with their fans by sharing in the future value of the success with the people that got 'em there. >> They are, we call it an ISO, Initial Song Offering. So just like a ticket on sale, it allows an artist to pick a time and date and say, "At noon on Thursday, I'm putting out 5% of my song "to raise $10,000." They pick the pricing, they pick the amount they want to put up, we admin the actual royalty stream for those people that put money into it, and the artist keeps the rest of it. >> I've seen a lot of pitches, I've seen a lot of stuff online, "Oh yeah, we're going to revolutionize "the new music industry, were going to use tokens." I've seen I feel pitches, but again, if you look at the smart money investors, they're looking at deals and saying, "Is there a network effect? "Is there a protocol of some sort in there?" Obviously you've identified a relationship that has tokenization or token economics built into the business model. Take a minute to explain that key tokenization. Why you're business is set for token economics? Why you, over someone else? >> So my backgrounds in the music business, I used to manage a band called Stone Temple Pilots for 20 years. Actually for 10 years, from 1990 to 2000. I had 20 other artist in that meantime. I understand the pain points from an artists perspective. I also know where the value is in the industry. It's in the publishing. Most of these entertainment businesses, the IP is where the real value is. Film, books, T.V., music, it's all in the underlying content. Not the distribution, not how many times I've downloaded it, but the actual ownership of the content. What we want to do, is put that in a basis so the artist can now take that on a fractional basis. We can use a tokenized product to let the fans buy in. The blockchain helps us track those rights, keep them secure, make them transparent, and allow the ownership to be shared between thousands or hundreds of thousands of people. >> And this also helps build community. I want to get your thoughts on something. I held a panel on Sundance this year, Sundance Film Festival, called The New Creative. What you're seeing emerging is a new artist. The new artists are digital native, their fan base is direct. Things we just talked about. But they're undervalued, because the gatekeepers, either the studios and or labels in your instance, are controlling distribution and they're also controlling the activities. So we all know what Apple's done with some of their artists, and artists have to go on the road and do all this work. Well digital changes all that, so from your perspective as a industry guru in music, how has digital changed that dynamic? And talk about this new artist breed, this new young upcoming digital generation of artists. >> There's two things. First, internet really hasn't delivered what it said it was going to the music community, right? When you had Napster come out, it's great for the fan base. The artist and the creators actually lost out. Music got valued from here to here. It went almost to zero. People were sharing files for free, so at some point we thought-- >> Regulatory tried to solve that legal-- >> Tried and tried, but once you build a generation on free, it's hard to change that. On the fan side it was great. There was a lot more distribution. On the artist and creator side, it wasn't so great. What we're trying to do is bring value back to that. We're going to use digital in a way that lets people share what they believe in, without these gatekeepers like you said; fully demand based. If I'm the small artist who plays banjo in Kentucky, but I've got a 100,000 fans who really love me, and they can show that by buying in, forget the labels. Forget the publishers. Forget the brands. I now have a direct connection. I'm earning a living directly from my fan base, which is how it should be. >> Kind of like we do open source content. We were talking about our business, you are enabling people to self-identify with the artist, letting the artist be open to that, make that handshake or if you will, digital handshake, and have a relationship beyond just being a fan. >> Most of the labels, in fact all the labels: Spotify, YouTube, Pandora. None of those platforms let the artist share directly with the consumer, right? If I say, "Look, I've got 20,000 streams today, "can you tell me who they were, no. "Can you show me where the downloads are, no." Why aren't they letting those people connect. The artist has a natural connection with their fans. >> That's because the tech platforms are optimized for a different business model. Look at Facebook, they're living in their own problem. Their success is almost killing them. They have this centralized data optimization for the wrong incentive. They're optimizing data for advertising, not user experience. In this case, you're saying, "Hey, lets use the infrastructure and crypto "to optimize the fan relationship and expand it." >> The reason artists get on stage, the reason they write a song, is to connect with people, right? We've disembodied that connection to the point where they're out there in the ether and the fans are over here. They're like, "How do we get together?" If we can bring that back, there's a very powerful connection there that we can take advantage of and let people actually make money from their craft. >> Well Steve, great to have you on The Cube because one, you have domain expertise, you're business model solid, and we've been saying yesterday and on The Cube that it's a reverse of the old stack model. The top of the stack is the business model. You nail the business model, the underlying plumbing will sort itself out. With that in mind, how are you guys looking at the plumbing? What are you doing here in Puerto Rico? Are you raising money? Are you doing an ICO? Take a little bit to explain your relationship to the plumbing under the hood, in the blockchain, crypto world. And then what you guys are doing here in Puerto Rico. >> We started building our platform the traditional way. We took traditional VC funding about a year ago. As we were building the platform, we understood the importance of a blockchain, some type of decentralized ledger that allows people to look transparently under the ownership stack. As we were building that, one of our engineers said, "hey, have you guys heard of an ICO?" we had no idea what this was. It was about a year ago. Got educated very quickly, dove deep on it, and realized there's an opportunity, not really for the fact that it's crypto, but to actually capitalize the company in a meaningful way. We want to scale this very quickly. We've got strategic partners in Asia, other parts of the world, that we need to grow very quickly into. We realized it was an opportunity to have. We did a raise close of December 1st; oron exchanges. >> An equity raise or a token raise? >> The token raise. We did a U.S. based PPM SAFT. >> So a security token. >> It's a utility token, but we followed a process that our legal advisors advised us. In the U.S., keep it as a PPM SAFT. If it's offshore, it's offshore. >> So accredited investors? >> Accredited investors only, small cap, try to keep it reasonable, because we don't need 100 billion dollars to build this platform right now. We're looking to get this in a traditional business sense, so we're building a real platform with a real team. We took advantage of that. We got listed on an exchange January 12th. At this point, we're head down in product. We're looking to launch this in 45 days at Coachella. We had an event two nights ago at South by Southwest. We came up here from Austin, so we're going back to California tomorrow. >> John: You're on a plane. >> Yeah, we're on a roadshow. We've got artist brand partners now. We're signing people, two or three artists a week that come in. We've got publishing catalogs that are coming on board realizing that there's a B to be played, because publishers only monetize the top two or 3% of their catalogs. The other 98% get no love. If they can put that on a retail platform like us, and allow consumers to buy directly into it, it's a whole windfall for them. >> Everyone's a media company these days. We've been saying it, and that's the new media model. You got a great formula, good luck. We'd love to keep in touch. >> Absolutely. >> What are you guys looking to do next six months as you get the product out the door? Ecosystem, you got to recruit more artists? What's the plan? >> My goal is 100,000 songs in the platform by the end of summer. Like I said, we're doing a lot of brand activations at music festivals. We see people, you know, exponential growth. Each song comes with an artist fan base. This builds into it. We're also supporting producers, co-writers, performers, the other guys that aren't on the stage. We realize this platforms for them, because the own live ownership in these songs, but have never had a way to monetize it. We're growing this very quickly. >> Steve Steward, CEO/co-founder of that's V-E-Z-T. Check 'em out. If you like music, this is a great way to actually take part in being a fan and owner of the actual property; great business model. We'll keep in touch. Thanks for sharing on The Cube. More live coverage here on The Cube, bringing you all the action, and extracting the signal from the noise. I'm John Furrier, thanks for watching. We'll be right back with more coverage after this break. >> Thanks guys, thanks John. (electronic instrumental music)
SUMMARY :
it's the Cube, covering activities here on the island it's great to be here. "I have access to my artist directly." "and I have the ability to reach out of the success with the that put money into it, and the built into the business model. and allow the ownership to be shared because the gatekeepers, The artist and the If I'm the small artist who letting the artist be open to that, Most of the labels, for the wrong incentive. and the fans are over here. is the business model. platform the traditional way. We did a U.S. based PPM SAFT. In the U.S., keep it as a PPM SAFT. We're looking to get this in the top two or 3% of their catalogs. that's the new media model. by the end of summer. and extracting the signal from the noise. Thanks guys, thanks John.
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Kevin Kealy, Ingram Micro | Fortinet Accelerate 2018
>> Announcer: Live, from Las Vegas, it's theCUBE, covering Fortinet Accelerate18. Brought to you buy Fortinet. (upbeat digital music) >> Welcome back to theCUBE's continuing coverage of Fortinet Accelerate 2018. I'm Lisa Martin, with my co-host Peter Burris, and we are now joined by the CISO of Ingram Micro Kevin Kealy. Welcome to theCUBE. >> Thank you both very much. It's nice to be here. >> I love your title, the Prince of Security Weirdness, your other title. >> Yeah, right. >> Tell us about where you got that and why you like it. >> I was at a customer engagement years ago, when I was working for AT&T, in of all places, Moline, Illinois, and I was working with a lady whose business card actually said Protocol Princess. And the customers, based on what we were actually there to do, the customer decided that if she was the Protocol Princess, then I had to be the Prince of Security Weirdness, because the problem ended up being a combination of something very odd that was happening with their security appliances plus the network itself. And so, of course she spread that when we got back to the office and it just kind of stuck from thereon. I kind of like it. If a company found something weird that was going on with security, they'd just go, "Send him, he'll sort it out." And I did. >> So you've seen probably a really interesting evolution of security. >> Kevin: Oh yeah. >> You've been the CISO for almost a couple years. >> Kevin: Yep, almost two years, yeah. Longest tenured one in a while, I think. >> And you have an interesting kind of strategic perspective. Tell us a little bit about that and what makes that unique. >> Sure, so from a CISO perspective it used to be the CISO was the C-E NO. You know, the place where business goes to die. My feeling is, if I'm not adding lift to the business, then I'm adding drag. And if you're adding drag then you're not being a responsible custodian of the company's money or it's direction. So my feeling is, and my strategic objective is, always partner with business to help them achieve what they need to achieve, but to do it safely and in a way that doesn't add risk to the company. So, I like to say you look through your lens at something, it looks ridiculous. Somebody's doing something truly stupid. But if you pivot your perspective and you look at what they're doing it for, they have a perfectly reasonable and rational expectation of their results and what they're trying to achieve. What you need to do is to adjust your thinking to understand what you currently don't understand in order to pivot them to get to a safe perspective, and therefore business. >> So one of the key differences between business and digital business, is the role that data plays. But we could also take a security perspective. Business was about securing and limiting access. Digital business is about sharing and making possible access. >> Kevin: Right. >> So is that kind of what you mean when you say that you're not the C-NO? You're not the C-YES necessarily, but you're really focused on how to appropriately share? >> Completely agree. My approach is always, let's consult with each other, tell me what you're trying to achieve and let's not look at what's caused me to be in your business today, let's look at what you're trying to achieve. What's your end goal? Right, now let's work together to achieve that in a way that adds limited... 'cuz you can't ever have a solution that exposes stuff without adding any risk,. But there's always an acceptable risk appetite that you have to maintain in order to do business, right? With risk comes opportunity and reward, right? So you can never eliminate all risk. So my approach is, understand what they're trying to do. Look at how much risk there is in any different way of doing it, and then choose the way that offers you the most risk reduction for the least capital expenditure and operational expenditure. And gets them to market the quickest. At that point now, I know I've done my responsible part of keeping risk under control. I maintain a risk register, tells me as a whole the company has accepted this much risk. If we do this extra thing, this might put you over what you, the board of directors and management have accepted before. Let's see what we can do to reign that back in here. I have a solution here that's nearly what you want, will that do? You know, another mantra I cite is, don't let perfect be the enemy of good enough. Too many of my peers in the CISO realm keep chasing perfection. You know they see NIST 800 as an achievable goal. They see, you know, total PCI compliance as an achievable goal. My feeling is, as soon as you get to the point where you are PCI compliant, and you still have things to do, then you need to start concentrating on other more risky things that are going on in your business. You can never achieve NIST 800 unless you have a government's funding. I don't know too many CISOs who have a government's funding, right? So my feeling is never let good enough fail to be good enough. Achieve good enough then go and solve other riskier things, and then come back, maybe in a year, couple of years, when it's time to refresh that solution, and see if now that's not good enough anymore. Maybe you need to do something different. But in all cases I'm partnering with business to make sure that whatever I'm doing is adding lift for them, not drag. >> So, Ingram Micro, we just had Eric Kohl on a little bit ago. So Ingram's been a partner with Fortinet for 10 years or so, but you, on your side and your CISO role, are a customer of Fortinet. >> Kevin: Absolutely. >> So in the last couple of years when you came on board, some of the things I'm hearing that you're talking about, sounds like potentially a cultural shift. Talk to us about maybe some of the weirdness that you found in from a security perspective, and how Fortinet is helping you guys on the Ingram, achieve security transformations so that you can evolve. >> Sure, so, Fortinet's been a great partner for me. They have a truly wonderful suite of products. I mean, everything from the edge protection for the dissolving perimeter, all the way out to small and SOHO type firewalls. And then we have wireless access points that are strong and well fortified with the ability to separate between multiple networks, all the way down to FortiDB, which I use to protect our databases. So we do our database monitoring for our critical databases. As a suite of things that I can manage with one console, it helps me minimize the number of operational staff and the operational training they have to do. And then, from my perspective as a customer, Fortinet's always there for me. I know that I can just call them, and within five minutes somebody's calling me back and we can get the right resources right on the phone. That kind of partnership, you can't put a price on that. You know, everybody's at some point in their lives, bought a product that's failed, and then you can't get any customer support on it, and eventually you have to toss it out. Fortinet's always there for me. They're always checking to make sure that we're doing the right thing. And to give you an example of how Fortinet is part of our company fabric, and I use the word in both it's terms, we chose Fortinet gear to protect our CEO's house. Alright? Our CEO, of course, has a lot of, you know, he's a high net worth individual. He has a lot of high value assets that he takes home to work from home. You know he's clearly a target. So for protecting his home and infrastructure there, we deployed Fortinet gear. >> That's a very interesting use case. >> Yeah, and all my staff, including myself, we have Fortinet gear at home as well. So this is the stuff we trust to protect ourselves, when we're in our most vulnerable environment. A lot of people don't think about that. You take these well secured devices and you take them outside the company perimeter. Now they're on their own. You know, if you can take them to a safe environment though, it makes them a lot safer. From an engagement perspective, as the buyer of things for a company like Ingram, one of the first partnerships I made when I first joined the company was with Eric. Because I want to make sure that I'm supporting our sales side as well. So if anybody comes to me and says, "Hey, I have the perfect solution for you." The very first question I ask them is, "Are you a re-seller with us?" And if the answer is no, it's like, call this guy. This Eric Kohl chap, he'll be able to have a very interesting conversation with you. So, Fortinet being such a long-term partner with Ingram, it's an easy purchasing decision for me. Number one on the technology side. Number on on the partner side. You know what that old story is, nobody got fired for buying IBM? At Ingram, nobody got fired for buying Fortinet gear. And it helps that it's the best on the books, for me anyway, for the stuff that I use it for. I'm very excited about the new Fabric. >> Tell us about that, from a visibility perspective internally, complexity, mitigation standpoint, TCO. How is that going to help you at Ingram? >> So, you said the word, visibility. One of the first things I did when I got to Ingram, was I realized I couldn't see all the way to the edges and to the bottom of my network. So I started to increase the visibility with a combination of the Fortinet product suite, I think I'll be able to get the edge-to-edge, top-to-bottom visibility. And I'm really excited about the web-based CASD solution. 'Cuz what I really don't want to do, and one of the talks this morning, the keynote was talking about it, is the vendor, just the vendor pile of different things that have to be managed. All the different people we have to get training from. All of the currency that you have to maintain. If I can manage it all through one console, And I only have to train my staff in one suite of products, that makes the overall work that they do that much simpler to execute. And I love the concept of being able to make those contextual rules. You know, if this device is in this class then don't let it go over to this data that's in this class. That's so simple to describe. And I love the fact that you can then orchestrate that deployment. So when as we go to a virtualized environment, and we roll into cloud and so on, being able to push a policy like that and being able to push that context is going to be so exciting for me. >> One of the challenges of integration is that you get dependencies. >> Yes. >> So as a CISO, and you start looking at a fabric, and as you said, it's a very rich fabric, it does a lot of work. How do you ensure that you don't find, 'cuz if there's a vulnerability inside the fabric, then the whole fabric gets affected. So what is that trade-off between integration and dependency for you? >> So, that's a great question. Back in 1998,'99, I was at AT&T during what was, it became known as the Great Frame Relay Outage, that AT&T had. Many people will remember that. >> Not to laugh at you. >> Do you remember it, though? >> I do remember it. >> Right? >> Kevin: And the cause of that was, the company was entirely CISCO on the back burner. I was one of the engineers that was there trying to fix it all. CISCO had a self-deploying patch protocol where you drop a patch onto a device and it would automatically push the patch to all its neighboring devices and so on. Well you dropped the patch on this device, it would push the patch towards its neighbors, then it would crash and reboot. But it had already had time to push the patch to all its neighbors. So one by one, every single router and switch in the entire network, received a patch and then crashed and rebooted. And that became a three-week problem known as The Great Frame Relay Outage of 1998. So at that point, our then CISO, Edward Amoroso, he decided that we wanted vendor diversity in our network. And at AT&T at the time, then, we went to CISCO on the edge, Juniper in the core. And the reason was, we wanted the network to be able to stay up and routing, even if we has a problem on the edge. And of course, automatic patch push protocol was disabled. (laughing) From my perspective, I think, there's a fine line to be managed here. Southwest Airlines has made a very concrete and a very risky, but certainly it's worked out for them right now, decision. All their aircraft are Boeing 737s. So they only have to train their maintenance staff to maintain one airplane. All their pilots can fly all their airplanes. >> Lisa: My brother's a pilot for them, yes. >> Right? >> Yeah. >> Kevin: All of them are 737s, but if the FAA grounds 737s, all of Southwest is out of business, for the duration of the flying ban, right? So Southwest has decided they don't need vendor diversity across their fleet. I know they bought Allegiant, and that's got a number of Boeing aircraft, however, from the perspective of their original business plan, all 737s because they now have a very, very well defined TCO. From my perspective I think, there's a line to be drawn here, but Fortinet has me covered. They have their APIs. They work with the other vendors. So if I have a SIM or a log manager or something like Splunk deployed, they already have that partnership in place. It means they can manage the data within the device as though it's my own data, as though it's within the Fortinet Fabric. And that then keeps me happy. Because I then get the benefits of the additional features perhaps that I would get from a Splunk rather than a Fortinet tool, but I also get the vendor diversity that's there. See Splunk for me is not just a security tool, it's a VI tool and there are many other groups that are leveraging the capabilities that it has. So for me, if I went to something like the Fortinet SIM, that would be a very selfish solution. It would be just a security thing. That's not really partnering with business. My investment in Splunk, I've got six other groups within the company leveraging it, and I just invited the seventh one in today. Now those people are all using Splunk for their own things. I'm footing the bill for them so they get all this VI for free. That's been a real big win for me, because I'm now known as the guy that's providing stuff that the company can actually use. That's a very powerful position to be in as the CISO because when I come asking for something that normally they would've said no to, all I have to do is remind them, "Hey, you know you're using my Splunk solution? "Well now, would you mind helping me out? "I need you to do this thing "with your laptops in your organization." And they're much more receptive because they know of me as a partner. >> So would you say, one of the things we were talking about a number of times today, Peter, with guests, is getting, how, does a CISO get this, well maybe it's enable the balance, at the speed at which a business needs to transform digitally to be profitable and grow and compete and manage that with risk? Where do you think that your are on getting that balance? Sounds like there's a lot of collaboration within what you've been able to achieve. >> So, there's a couple of rules that I go with. The first is I go meet the business leaders and introduce myself. And I say, I know you may have heard this before, but this time I mean it, I'm here to help. Tell me what your pain points are. How can I help you, right? And that's a very powerful question. I always try to end every meeting with "How can I help you?" Alright. If you end the meeting with that question, that last memory they have of you will be, you were offering to help last time I saw you. I'm willing to give you another audience. And then, it's by action. Like my Splunk investment. I invested in it, and now other people are using it. I'm showing by my actions that I'm actually not just all talk. And other people have noticed. They would come to one of my predecessors and say, "Hey, I want to do X." and they would be told straight out, "No." My answer is always, okay. How are you planning to do it? Something brought you here today. Let's talk about it. And then when they show me how they are planning to do it, it's like, you know what, I see opportunity here. You guys can do it in three fewer steps and at significantly less risk if you just let me help you in this area, and then we do it this way, and we use this tool that I've already bought and you don't have to pay for. Now all of a sudden they've got a yes. It's already through. It's through architecture review. They've got the solution in place, but I get the logs and I get to put my own encryption solution in or whatever else it is, and I get to absorb the risk for the company. And again, it's all by actions too. You know, if you make sure that you never say the word no. People say, "No, because." Try to change it to, "Yes, and." And by pivoting the conversation that way all of a sudden people aren't arguing with you. They're trying to sell you something. And when somebody's trying to sell you something and you're buying it now you've got the upper hand, right? So now I'm the buyer. Right, it's like, "Let's buy it, but let's do it like this." >> So I have another question for you. Something that's related to one of the conversations that we've had many times today. I'm going to paint a scenario for you. A CEO is sitting in front of a group of investors. And talking about strategic flexibility and the things that their assets allows her to do. My balance sheet will allow us to do this. My sales force will allow us to do this. When are we going to see the first CEO say, "My security, my digital security, "will allow us to do this, "things that our competitors can't do." >> That's an excellent question, I hope it's soon. I'd like to be right in the vanguard of that. Ingram Micro already uses us as an enabler. >> I'm sorry, what was that? >> Ingram Micro already uses me and my group as an enabler. This year we've been able to negotiate a reduction in our corporate insurance rates, for cyber risk, simply because I was able to show the value in what we've achieved over the last two years. And show how materially we've affected the company's risk envelope and our acceptance of risk. So by doing that, I've already added value to the bottom line because insurance costs money and it's a dead sunk cost, right? So I've already reduced the cost of that. So now all of a sudden I'm enabling the business. And I'm also meaning that we can actually uplift our coverage too, so now we're reducing risk even more. We can displace more risk to the outside of the business. This conversation with Eric, you know, I'm about to award an RFP. Before I award an RFP, I'll go and see Eric. Is there a strategic reason for me to award it to this vendor or this other vendor? Now of course we're negotiating on the sale side and the buy side together. That's a very powerful story. So certainly at Ingram, I think I'm already partnering with the business in such a way that we can make that a compelling message. In terms of the overall industry, I really hope that it'll be soon. I think the CISO and the CIO roles are merging together. I think as the CIO is rolling less hardware and is rolling more into virtual and policy and direction and technology choices, I think people are going to have to realize that security has to be built into that. Because if you try to bake it on later, or bolt it on, it's never as effective. It's always more expensive. You look at something like the Fortinet Fabric, you roll that as part of your orchestrated virtual environment, you've turned the whole attack chain on it's head, now. Now it's going to cost so much to try and compromise any part of that infrastructure, you're going to see it so quickly, you've turned it all around. Now it's way too expensive to try and attack companies with that kind of fabric. Now the boot is on the foot. Okay, so invent something I can't see. You know, we've got contextual threat intelligence here, that's able to spot patterns. We've got polyform on the outside here. Everything's working in concert, okay. >> So you're not worried about being put out of a job any time soon. >> I think sadly this job is around for a while. I used to joke that it was Bill Gates and his company that provided us with permanent job security. Now it's the cyber criminals. I tell you what though, today the simplest attacks are still the ones that work. It's phishing, phishing, phishing, phishing, phishing. People clicking on links. >> Human beings. >> Human beings are always easier to hack than computers. >> So you've given us, last question as we have a minute or so left, you've given us a great perspective of the impact that you've been able to make using Fortinet on the customer side. You talk to a lot of partners in Ingram's ecosystem. How do you impart your wisdom and your expertise on the partners from that enablement, such so that they can go and talk to customers and really share best practices from the CISO suite? >> So again, I partner with Eric's cybersecurity advisory committee, where he has a number of our key security partners who come along. And for two years running now, I've participated. I've spoken. I spent two days with those folks. I'll answer any question they have. I'll spend the evenings with them. We'll have a beer together. And I'll do a panel and I'll have discussions just like this with them. And share with them some of the things that I've done with the company that have worked, and some of the things that haven't worked out quite so well. No holds barred. I'm a big believer in herd immunity. You know, it's an old joke, you don't want to be the fastest antelope, but you sure as hell don't want to be the slowest one either. So from my perspective, the more of us that share that kind of intel, the easier things will be as we go forward. Because together as a herd we'll be more immune. So from my perspective, even if it's a competitor's CISO, I'll still sit down, have a coffee with them and chat with them. And it will be very much open kimono. Because I feel like we can never share enough of this intelligence with each other. We're not seeking to gain a competitive advantage individually. We're seeking to make the field and the companies, and if you like, the white hats, less vulnerable. And I think that's a compelling value message. >> I noticed your clothes. I guess you're an All Blacks fan? >> Well, you know, being South African I have to be a Springboks, but, uh, you know, it was such a sad day when Jonha Lumo died. That was such a sad day. I got to meet him once and he was a mountain of a man, but such a gentleman. Yep, that was good. But yes, rugby is definitely my sport, so thank you. >> Well, Kevin, thank you so much for stopping by theCUBE and sharing your insights, what you've been able to achieve on the consumer side, or consuming Fortinet's technology and what you're able to impart on your partners. We wish you great success in 2018 and look forward to having you back on the show. >> That sounds great, thank you very much. Thanks for having me, it's been a great pleasure, thanks. >> Excellent. And we want to thank you for watching theCUBE from Fortinet Accelerate 2018. I'm Lisa Martin with my cohost Peter Burris, after this short break we will be right back. (upbeat digital music)
SUMMARY :
Brought to you buy Fortinet. the CISO of Ingram Micro It's nice to be here. I love your title, the and why you like it. And the customers, based on what we were So you've seen probably You've been the CISO Kevin: Yep, almost two years, yeah. And you have an interesting to understand what you So one of the key the way that offers you So Ingram's been a partner with So in the last couple of And to give you an example "Hey, I have the perfect How is that going to help you at Ingram? And I love the fact that you can One of the challenges of integration and as you said, it's a very rich fabric, it became known as the And the reason was, we wanted the network a pilot for them, yes. and I just invited the one of the things we were talking about to sell you something and the things that their I'd like to be right in like the Fortinet Fabric, you roll that So you're not worried Now it's the cyber criminals. easier to hack than computers. on the partners from that enablement, and some of the things I noticed your clothes. I have to be a Springboks, to having you back on the show. That sounds great, thank you very much. you for watching theCUBE
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Bob Rogers, Intel, Julie Cordua, Thorn | AWS re:Invent
>> Narrator: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2017, presented by AWS, Intel, and our ecosystem of partners. >> Hello everyone, welcome to a special CUBE presentation here, live in Las Vegas for Amazon Web Service's AWS re:Invent 2017. This is theCUBE's fifth year here. We've been watching the progression. I'm John Furrier with Justin here as my co-host. Our two next guests are Bob Rogers, the chief data scientist at Intel, and Julie Cardoa, who's the CEO of Thorn. Great guests, showing some AI for good. Intel, obviously, good citizen and great technology partner. Welcome to theCUBE. >> Thank you, thanks for having us! >> So, I saw your talk you gave at the Public Sector Breakfast this morning here at re:Invent. Packed house, fire marshal was kicking people out. Really inspirational story. Intel, we've talked at South by Southwest. You guys are really doing a lot of AI for good. That's the theme here. You guys are doing incredible work. >> Julie: Thank you. >> Tell your story real quick. >> Yeah, so Thorn is a nonprofit, we started about five years ago, and we are just specifically dedicated to build new technologies to defend children form sexual abuse. We were seeing that, as, you know, new technologies emerge, there's new innovation out there, how child sexual abuse was presenting itself was changing dramatically. So, everything from child sex trafficking online, to the spread of child sexual abuse material, livestreaming abuse, and there wasn't a concentrated effort to put the best and brightest minds and technology together to be a part of the solution, and so that's what we do. We build products to stop child abuse. >> John: So you're a nonprofit? >> Julie: Yep! >> And you're in that public sector, but you guys have made a great progress. What's the story behind it? How did you get to do so effective work in such a short period of time as a nonprofit? >> Well, I think there's a couple things to that. One is, well, we learned a lot really quickly, so what we're doing today is not what we thought we would do five years ago. We thought we were gonna talk to big companies, and push them to do more, and then we realized that we actually needed to be a hub. We needed to build our own engineering teams, we needed to build product, and then bring in these companies to help us, and to add to that, but there had to be some there there, and so we actually have evolved. We're a nonprofit, but we are a product company. We have two products used in 23 countries around the world, stopping abuse every day. And I think the other thing we learned is that we really have to break down silos. So, we didn't, in a lot of our development, we didn't go the normal route of saying, okay, well this is a law enforcement job, so we're gonna go bid for a big government RFE. We just went and built a tool and gave it to a bunch of police officers and they said, "Wow, this works really well, "we're gonna keep using it." And it kinda spread like wildfire. >> And it's making a difference. It's really been a great inspirational story. Check out Thorn, amazing work, real use case, in my mind, a testimonial for how fast you can accelerate. Congratulations. Bob, I wanna get your take on this because it's a data problem that, actually, the technology's applying to a problem that people have been trying to crack the code on for a long time. >> Yeah, well, it's interesting, 'cause the context is that we're really in this era of AI explosion, and AI is really computer systems that can do things that only humans could do 10 years ago. That's kind of my basic way of thinking about it, so the problem of being able to recognize when you're looking at two images of the same child, which is the piece that we solved for Thorn, actually, you know, is a great example of using the current AI capabilities. You start with the problem of, if I show an algorithm two different images of the same child, can it recognize that they're the same? And you basically customize your training to create a very specific capability. Not a basic image recognition or facial recognition, but a very specific capability that's been trained with specific examples. I was gonna say something about what Julie was describing about their model. Their model to create that there there has been incredible because it allows them to really focus our energy into the right problems. We have lots of technology, we have lots of different ways of doing AI and machine learning, but when we get a focus on this is the data, this is the exact problem we need to solve, and this is the way it needs to work for law enforcement, for National Center for Missing and Exploited Children. It has really just turned the knob up to 11, so to speak. >> I mean, this is an example where, I mean, we always talk about how tech transformation can make things go faster. It's such an obvious problem. I mean, it's almost everyone kinda looks away because it's too hard. So, I wanna ask you, how do people make this happen for other areas for good? So, for instance, you know, what was the bottlenecks before? What solved the problem, because, I mean, you could really make a difference here. You guys are. >> Well, I think there's a couple things. I think you hit on one, which is this is a problem people turn away from. It's really hard to look at. And the other thing is is there's not a lot of money to be made in using advanced technology to find missing and exploited children, right? So, it did require the development of a nonprofit that said, "We're gonna do this, "and we're gonna fundraise to get it done." But it also required us to look at it from a technology angle, right? I think a lot of times people look at social issues from the impact angle, which we do, but we said, "What if we looked at it "from a different perspective? "How can technology disrupt in this area?" And then we made that the core of what we do, and we partnered with all the other amazing organizations that are doing the other work. And I think, then, what Bob said was that we created a hub where other experts could plug into, and I think, in any other issue area that you're working on, you can't just talk about it and convene people. You actually have to build, and when you build, you create a platform that others can add to, and I think that is one of the core reasons why we have seen so much progress, is we started out convening and really realized that wasn't gonna last very long, and then we built, and once we started building, we scaled. >> So, you got in the market quickly with something. >> Yeah. >> So, one of the issues with any sort of criminal enterprise is it tends to end up in a bit of an arms race, so you've built this great technology but then you've gotta keep one step ahead of the bad guys. So, how are you actually doing that? How are you continuing to invest in this and develop it to make sure that you're always one step ahead? >> So, I can address that on a couple of levels. One is, you know, working with Thorn, and I lead a program at Intel called the Safer Children Program, where we work with Thorn and also the National Center for Missing and Exploited Children. Those conversations bring in all of the tech giants, and there's a little bit of sibling rivalry. We're all trying to throw in our best tech. So, I think we all wanna do as well as we can for these partnerships. The other thing is, just in very tactical terms, working with Thorn, we've actually, Thorn and with Microsoft, we've created a capability to crowdsource more data to help improve the accuracy of these deep learning algorithms. So, by getting critical mass around this problem, we've actually now created enough visibility that we're getting more and more data. And as you said earlier, it's a data problem, so if you have enough data, you can actually create the models with the accuracy and the capability that you need. So, it starts to feed on itself. >> Julie talked about the business logic, how she attacked that. That's really, 'cause I think one thing notable, good use case, but from a tech perspective, how does the cloud fit in with Intel specifically? Because it really, the cloud is an enabler too. >> Bob: Yeah, absolutely. >> How's that all working with Intel? And you go on about whole new territory you guys are forging in here, it's awesome, but the cloud. >> Right, so, for us, the cloud is an incredible way for us to make our compute capability available to anyone who needs to do computing, especially in this data-driven algorithm era where more and more machine learning, more and more AI, more and more data-driven problems are coming to the fore, doing that work on the cloud and being able to scale your work according to how much data is coming in at any time, it makes the cloud a really natural place for us. And of course, Intel's hardware is a core component of pretty much all the cloud that you could connect to. >> And the compute that you guys provide, and Amazon adds to it, their cloud is impressive. Now, I'd like to know what you guys are gonna be talking about in your session. You have a session here at re:Invent. What's the title of the session, what's the agenda, is it the same stuff here, what's gonna be talked about? >> So, we're talking about life-changing AI applications, and in specific we're gonna talk about, at the end Julie will talk about what Thorn has done with the child-finder and the AI that we and Microsoft built for them. We'll also, I'll start out by talking about Intel's role broadly in the computing and AI space. Intel really looks to take all of its different hardware, and networking, and memory assets, and make it possible for anybody to do the kinds of artificial intelligence or machine learning they need to do. And then in the middle, there's a really cool deployment on AWS sandwich that (something) will talk about how they've taken the models and really dialed them up in terms of how fast you can go through this data, so that we can go through millions and millions of images in our searches, and come back with results really, really fast. So, it's a great sort of three piece story about the conception of AI, the deployment at scale and with high performance, and then how Thorn is really taking that and creating a human impact around it. >> So, Bob, I asked you the Intel question because no one calls up Intel and says, "Hey, give me some AI for good." I mean, I wish that would be the case. >> Well, they do now. >> If they do, well, share your strategy, because cloud makes sense. I could see how you could provision easily, get in there, really empowering people to do stuff that's passionable and relevant. But how do you guys play in all of this? 'Cause I know you supply stuff to the cloud guys. Is this a formal program you're doing at Intel? Is this a one-off? >> Yeah, so Safer Children is a formal program. It started with two other folks, Lisa Davis and Lisa Theinai, going to the VP of the entire data center group and saying, "There is an opportunity to make a big impact "with Intel technology, and we'd like to do this." And it started literally because Intel does actually want to do good work for humankind, and frankly, the fact that these people are using our technology and other technology to hurt children, it steams our dumplings, frankly. So, it started with that. >> You've been a team player with Amazon and everyone else. >> Exactly, so then, once we've been able to show that we can actually create technology and provide infrastructure to solve these problems, it starts to become a self-fulfilling prophecy where people are saying, "Hey, we've got this "interesting adjacent problem that "this kind of technology could solve. "Is there an opportunity to work together and solve that?" And that fits into our bigger, you know, people ask me all the time, "Why does Intel have a chief data scientist?" We're a hardware company, right? The answer is-- >> That processes a lot of data! >> Yes, that processes a lot of data. Literally, we need to help people know how to get value from their data. So, if people are successful with their analytics and their AI, guess what, they're gonna invest in their infrastructure, and it sort of lifts Intel's boat across the board. >> You guys have always been a great citizen, and great technology provider, and hats off to Intel. Julie, tell a story about an example people can get a feel for some of the impact, because I saw you on stage this morning with Theresa Carlson, and we've been tracking her efforts in the public sector have been amazing, and Intel's been part of that too, congratulations. But you were kind of emotional, and you got a lot of applause. What's some of the impact? Tell a story of how important this really is, and your work at Thorn. >> Yeah, well, I mean, one of the areas we work in is trying to identify children who are being sold online in the US. A lot of people, first of all, think that's happening somewhere else. No, that's here in this country. A lot of these kids are coming out of foster care, or are runaways, and they get convinced by a pimp or a trafficker to be sold into prostitution, basically. So, we have 150,000 escort ads posted every single day in this country, and somewhere in there are children, and it's really difficult to look through that with your eye, and determine what's a child. So, we built a tool called Spotlight that basically reads and analyzes every ad as it comes in, and we layer on smart algorithms to say to an officer, "Hey, this is an ad you need to pay attention to. "It looks like this could be a child." And we've had over 6,000 children identified over the last year. >> John: That's amazing. >> You know, it happens in a situation where, you know, you have online it says, you know, this girl's 18, and it's actually a 15-year-old girl who met a man who said he was 17, he was actually 30, had already been convicted of sex trafficking, and within 48 hours of meeting this girl, he had her up online for sale. So, that sounds like a unique incident. It is not unique, it happens every single day in almost every city and town across this country. And the work we're doing is to find those kids faster, and stop that trauma. >> Well, I just wanna say congratulations. That's great work. We had a CUBE alumni, founder of CloudAir, Jeff Hammerbacher, good friend of theCUBE. He had a famous quote that he said on theCUBE, then said on the Charlie Rose Show, "The best minds of our generations "are thinking about how to make people click ads. "That sucks." This is an example where you can really put the best minds on some of the real important things. >> Yeah, we love Jeff. I read that quote all the time. >> It's really a most important quote. Well, thanks so much. Congratulations, great inspiration, great story. Bob, thanks for coming on, appreciate it. CUBE live coverage here at AWS re:Invent 2017, kicking off day one of three days of wall-to-wall coverage here, live in Las Vegas. We'll be right back with more after this short break.
SUMMARY :
Intel, and our ecosystem of partners. Welcome to theCUBE. the Public Sector Breakfast this morning and we are just specifically dedicated to build but you guys have made a great progress. and then bring in these companies to help us, the technology's applying to a problem that so the problem of being able to recognize So, for instance, you know, You actually have to build, and when you build, So, one of the issues with and the capability that you need. how does the cloud fit in with Intel specifically? And you go on about whole new territory that you could connect to. And the compute that you guys provide, and make it possible for anybody to do the kinds of So, Bob, I asked you the Intel question because 'Cause I know you supply stuff to the cloud guys. and frankly, the fact that these people and provide infrastructure to solve these problems, and it sort of lifts Intel's boat across the board. and hats off to Intel. and it's really difficult to and stop that trauma. This is an example where you can really I read that quote all the time. We'll be right back with more
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Peter Chen, Intel | The Computing Conference
>> SiliconANGLE Media presents theCUBE! Covering AlibabaCloud's annual conference. Brought to you by Intel. Now, here's John Furrier... >> Hello everyone, I'm John Furrier, the co-founder of SiliconANGLE, Wikibon, and theCUBE, for our exclusive coverage in Hangzhou, China for Alibaba Cloud Conference here, it's a Cloud Computing Conference. The entire city is a cloud. We're here at the Intel booth with Peter Chen, who's the general manager of Products and Technology, for Data Center Group Sales of Intel Corporation. Peter, AI is the hottest topic, IoT, Alibaba Cloud, I mean, a huge event here mixing, kind of a cultural shift, generational shift, young developers. >> Definitely lots of crowd, you can see people surrounding us, right? So, artificial intelligence is definitely a hot word here in China for the past 12 months. Everybody's trying to figure it out, what's going on, how they can really use them, so we're very excited as well to really partner with Alibaba to really explore some of the potentials. >> I had a chance to speak with some of the Alibaba executives, and obviously, a strategic partnership with Intel, pretty strategic, and it matters what's inside the Cloud. But it's not an Intel inside like a PC. The AI is showing that there's a little bit of Intel on everything, from IoT, industrial IoT to data center. It's a range of technology that's powering a new kind of software. This is where AI is shining. We're seeing that with machine learning and as data driven technology. So, I got to ask you. What is the view from Intel on AI? Obviously, we see the commercials, we see the technology from Intel. How does that translate to your view on AI? What's that view? >> So, essentially today's AI, artificial intelligence, is powered by three factors, the amount of data, the new algorithms, and lastly the compute power. And Intel has historically been the leader of create and compute. So, for the past many years, we has always been generating new compute powers into the cloud and data centers as well as PCs. But going forward as we look at applying AI to different usages like autonomous driving, for example, you cannot expect everything to be done just in the cloud because we need the real data to be inputted from a car, for instance, all the cameras, all the sensors. So, we do definitely see a need of actually faster processors at the edge as well to constantly bring in the data back into the cloud, so they have an autonomous feedback loop, make sure there will be right decision making. >> Yeah, so Cloud drives this, right? So, it's not just Cloud though, it's software. There's exponential growth in open source software that's causing a Renaissance in the developer community. You're seeing it here in China, a lot of young demographics here. Software and data's tsunami going on. You need compute power. >> Yes, yes. I think, everybody knows Intel is a hardware company, but we do have a very large effort on engaging a software ecosystem. From the old days on engaging Linux, the cloud different software stack, and working with CSPs like Alibaba in China to really make sure they can create and write the new latest software AI framework and taking the most advantage of our hardware platform as well. So, that's something that we've been very focusing on. >> And one of the themes here is the IoT for traffic in China. Obviously, if you've been here, you know it's kind of congested. But Alibaba is giving a lot of talks on how they're using data in this cloud city for traffic, which is an example of IoT, Internet of Things, but applied to the real world. That's where the AI kind of connects with the data. Is that kind of where it's going? >> Yeah, so I think this is a great application, as you just mentioned. And Alibaba calls it City Brain. So, essentially, imagine a normal city like in China, can easily go five million, 10 million people. The amount of people and the amount of traffic that goes on the road every day. So, if the city is able to utilize all these videos' stream of data, feedback from different traffic intersections, and be able to direct traffics and control the traffic lights dynamically, using artificial intelligence, you'd actually solve a lot of the city's congestion problem. So, I think this is where we are seeing a lot of application being explored in China, they're using very innovative, different ways by Alibaba. >> Peter, I've got to ask you because one of the things we're seeing in theCUBE and Wikibon Research is the growth of new kinds of ecosystems. Karen Liu, who runs the America's, general manages for America's Alibaba, said to me that ecosystem is super important for Alibaba as an example. But a new kind of ecosystem is developing. Cloud service providers are becoming a new hot growth area because the specialty of building applications in the cloud is not like it was kind of in the old days. You got to have a little bit of a cloud native mindset, but yet, domain expertise, whether it's traffic or a certain vertical solution. So, it's a little bit of both. Always often scalable, yet specialism. This is going to create a lot of opportunities for cloud service providers. What's your view on that from Intel's perspective? How are you guys seeing that market? Do you agree? And what are you guys looking at, at that market? >> So, obviously cloud service provider, the likes of Alibaba or Amazon, are one of our fastest growing customer base over the past five years. And in the near future, we expect this trend to continue to grow. We definitely see CSPs as a leading edge of driving innovation because they are not just the leading edge of driving consumer usages but they also, like the City Brain project, they've been really close on solving the enterprise problem as well with public cloud. So, I think we're very excited to have the opportunity to be a close partner with a CSP like Alibaba to really help them, providing our latest hardware technology to allow them to drive innovation on top of this offer and with the programs and the algorithms. >> How are they, how are those big cloud service providers, or CSPs like Alibaba, they're a big one, they're the fourth cloud in the world, enabling their CSPs? Because I was just talking to someone on the floor here, an ISV in the old world, who was telling me that he's now a cloud service provider, so you have now this nice balance in the ecosystem developing. You guys see the same thing? How do you guys, looking at that? >> So, this is what we call a hybrid situation. So, while the big CSPs like Alibaba, they have a lot of competency and they have a lot of internal engineering, it may not make sense for them to create every single application in the world. So, there may be some legacy enterprise application, for instance, a CRM software in China, maybe it was really popular, for them to forge a collaboration with the leading company Alibaba to translate their on-prem software stack into a cloud solution. So, I think we definitely see a lot of that collaboration happening, to take the best of the best from the legacy as well as the new public cloud environment to really make the better service for the companies and the customers. >> Create ecosystem opportunity. Okay, so I got to ask. What is the Intel relationship that you guys are doing on your end with Alibaba Cloud? Obviously, they're taking names, they're kicking butt. They're doing well. They're going global. They're not just in China. They're the first cloud provider here in China to go outside the mainland. Obviously, they're in the US, they're in Silicon Valley, our backyard. What's the collaboration? Share the relationship. >> We work very closely with Alibaba. Like you said, they're now the leading cloud service provider in China. They're starting going abroad. And we as an ingredient, knowledge provider perspective, we have a very close collaboration with them, sharing with them our technologies on hardware roadmap as well as software enabling to make sure they can take full advantage of it. So, we're very excited to see the growth of Alibaba over the past few years, and we look forward to seeing them continue to expand their business together with us. >> Yeah, great company. So, I got to ask you, one of the collaborations that got my attention was the, I don't want to say hack-a-thon, it was a competition, it was the AI competition called Tianchi that you guys were a part of with Alibaba. What was Intel's role in that? I saw some of the winners earlier. I didn't get a chance to get the specifics, but take me through this AI competition that Alibaba did with these entrepreneurs. >> So, I'm very, actually very excited. I just talked to one of the winning team just now. So, what happened is, when we talk about artificial intelligence, today it's a lot about image recognition, voice recognition but that's just pure technology. So, what Alibaba decide to do, which in terms of partner, is we created a medical image contest. So, we pick a particular subject, for instance, lung cancer and we invited 16 local hospitals to provide some of the image data of the patients anonymously, and then we opened it up for the software ecosystem, the academia, professors, the schools, and say, hey, why don't you come in and try to compete on the image recognition accuracy based on those X-ray images, using these images? So, it takes about six, we have overwhelming turnout. We have about 3,000 teams from 20 different countries applying to join in the contest, and then we just select the winner yesterday. So, basically, the three winning teams, two of them are from the best universities here in China, one of them is from overseas. And again, Intel's role in this is we provide a lot of consultation help. First of all, we provide the hardware system based on our Xeon Phi clusters, and on top of that, we provide a lot of the software tools, Caffe, image recognition libraries, Intel material libraries to really help the contestant to be able to use the Intel hardware for the maximum to drive the best performance. >> And so, you guys provided the technology, Alibaba the Cloud, and let these guys just take. What was the results? Was there any success? Was there a winner? >> There was a winner. I think the big winner was Beijing University. But I think overall, we are not just excited just because of this specific winners but really the larger intent. If you can imagine in a country like China, there's a lot of people, meaning there's a lot of patients at different part of the country, and not every tier two, tier three city have the same resource or access of the best doctors. If we're able to simplify the lung cancer image recognition to be able to provide this as a tool for all the tier two, tier three cities of China, imagine how much this will change. >> It's a societal impact. >> Definitely. >> And you've got a collective intelligence. It's almost like an open source kind of thing, where the more people doing it. >> It gets better, it gets better. >> The fly wheel. >> And then, we have definitely a lot of hospitals who want to really take advantage of this as well. So, we're really glad on the results of this first round, and I think Alibaba will do a next round with a different subject as well, and we're looking forward to partnering with them again. >> That's inspirational. Okay, great to have you on. Thanks for the commentary. Exclusive coverage. Final thought, what's your thoughts on the event? Where's AI going? Where do you see this trajectory of Alibaba and Intel going? >> So, definitely the event's wonderful and great. This is my third year here. It gets just bigger and bigger every time. So, I'm looking forward to come back for the next couple of years again. Our collaboration with Alibaba has been very close. We work with each other deeply, with our engineers' collaboration, and I look forward to continuing to bring out more successful projects. >> And they're really bringing together, not just science and developers, but artists. You've got a music festival here, feels like South by Southwest meets a developer conference. Societal impact, traffic, solving problems, lung cancer, big data, and data is changing the world. Now, you need the compute power, you need the analytics. Of course, you need SiliconANGLE and theCUBE and Wikibon, exclusive coverage here in China of the Alibaba Cloud Conference. Thanks for watching.
SUMMARY :
Brought to you by Intel. We're here at the Intel booth with Peter Chen, who's the general manager of Products and So, artificial intelligence is definitely a hot word here in China for the past 12 months. So, I got to ask you. the real data to be inputted from a car, for instance, all the cameras, all the sensors. There's exponential growth in open source software that's causing a Renaissance in the software AI framework and taking the most advantage of our hardware platform as well. And one of the themes here is the IoT for traffic in China. So, if the city is able to utilize all these videos' stream of data, feedback from different Wikibon Research is the growth of new kinds of ecosystems. So, obviously cloud service provider, the likes of Alibaba or Amazon, are one of our You guys see the same thing? of the best from the legacy as well as the new public cloud environment to really make What is the Intel relationship that you guys are doing on your end with Alibaba Cloud? forward to seeing them continue to expand their business together with us. So, I got to ask you, one of the collaborations that got my attention was the, I don't want for the maximum to drive the best performance. And so, you guys provided the technology, Alibaba the Cloud, and let these guys just lot of patients at different part of the country, and not every tier two, tier three city have And you've got a collective intelligence. So, we're really glad on the results of this first round, and I think Alibaba will do a Okay, great to have you on. So, definitely the event's wonderful and great. of the Alibaba Cloud Conference.
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Pete Murray, HPE - HPE Discover 2017
>> Narrator: Live from Las Vegas, it's theCUBE, covering HPE discover, 2017, brought to you by Hewlett Packard Enterprise. >> Everyone, we are live here in Las Vegas with SiliconANGLE Media's, theCUBE, our flagship program where we go out to the events, and strike the cylinders, talk to the thought leaders the experts, folks making it happen. I'm John Furrier with my cohost Dave Vellante. Our next guest is Pete Murray, worldwide Vice President of OEM sales and IoT go to market for HP enterprise. Pete welcome to theCUBE. >> Thank you. >> So OEM people basically, Original Equipment Manufacturing they basically take your stuff and put it in their solutions. Why are they interested in doing that? Obviously you have a good product and IoT's hot. This is a new journey and a lot of people are figuring it out. What's the premise behind the growth and the business opportunity for you guys? >> We see IoT as a great opportunity. Whichever analyst you talk to, they're all consistent on one thing and that is, there are going to be billions of devices connected. If you talk to some of the estimates they're anything between 20 and 30 billion by 2020. All that does is create great opportunities and really exciting things can happen when you connect the unconnected, which is today. We're working with OEMs and we've got a successful program for many many years and a lot of our OEMs are starting to look at the marketplace and see great potential to enhance what they offer to their customers. And ultimately deliver additional business value. >> We would agree with you, we think it's hot, in fact Dave and I are coming in Meg Whitman's key note. We think the numbers she was stating in terms of date in IoT understated. We think our numbers show a little higher but that speaks to the pressure for folks to add value, solutions, to providers to go to market with an IoT solution. What is the profile of your customer that's OEMing the HPE products? Is it apps, is it striving? Is it the driver on the app size, is it verticals? Can you share some insight into the landscape? >> Yeah, sure, by the way, our data figure we use is about 44 zeta bytes by 2020. But who knows it could be much bigger. We're focused mainly by industry, and we're working with a lot of our OEMs in industries such as, the healthcare business, telecommunications, transportation. We basically spend time allowing them to focus on what they're really good at. Bringing their intellectual property to solve business problems in their industry. What we bring is what we're really good at which is providing an innovative, quality based, compute based solution with a world class supply chain and global support. We think that's a really really good combination. And it naturally extends in the IoT world, because a lot of our OEMs are operational technology partners who have got something to say in that marketplace. And usually they've got the expertise in an industry segment to enable IoT, enable benefits to be seen and we want to really help them to do just that. >> Can you give an example and specifically the issue of why HPE versus the potentially other choices out there, or growing their own? What are the reasons why they come to you guys? What's the benefits? >> Well first of all, we think we've got a great OEM program, so it's a great base to start. Offering quality innovation and global presence. But on top of that when you look at the IoT world, we think we've got some really compelling assets. We've got assets around conductivity, security, location based capability, we've got the ability to computer the edge where we think there's a lot of significant reasons and benefits to do so. And lastly, we've got our own IoT platform called the universal IoT platform, and that can also deliver great benefits. If you put that together with a partnering co-system to be able to solve problems, we think it's pretty compelling. >> So Pete, take us through the cycle OEM sales cycles tend to be very long, they beat you up and stress test you a million different ways. What's it like, in your IoT world you mentioned healthcare, tel co and some others, what's that qualification cycle look like? >> Well we usually start with a business problem, whatever the OEM is trying to solve. And then we work out how we can best work with them to help them deliver it. Ultimately, the most important focus is their customer to deliver a good solution. So we go through the technology cycles, make sure that we can deliver to the service levels that they're interested in, and then we start thinking about the technology if there's additional innovation that's required. So our technology teams will be working closely together, and then we start looking at where they plan to deploy from a geography prospective, which region, which customers, which targets. And then we figure out how we can support them in that how we can obviously supply and ultimately, make sure that we can provide a great service to their clients. So the cycle can take a while but planning is critical, because when you actually start ramping volume, you want to make sure you've got the right plan in place. >> Well a company like yours has some advantages there like you said, your global distribution. How much of the work that you're doing and expect to be doing is custom activity? >> I'm sorry? >> Custom, how much is custom versus selling the same solution multiple times? And how does that business scale? >> What we tend to find is, we've actually got some pretty strong offerings that our customers use off the shelf and so, in a lot of cases customization is relatively small. But as we're moving into the IoT world a lot of the fundamental business problems we're trying to tackle are the same but each implementation is just slightly different. So we're seeing a little bit more customization as a result of that, but a lot of the time our customers are really interested in our core offerings, because we think that they're both industry leading and also solid. >> So it's maybe some special enabler? As opposed to some heavy engineering effort right? >> Yeah, I mean, typically in the OEM program we'll work with customers if they want to rebadge or rebrand or they're looking for the equipment to be in a certain different format. Or they want the packaging or the distribution documentation to be different, it's those sort of customizations as well as the base technology, if there is a requirement to do that. >> And how do you go to market? Do you have sort of an OEM sales force? And is it direct to those OEMs? There's not sort of a two-tier? I was wondering if you could describe that a little bit. >> So we've got an OEM sales force worldwide. We break it down by the three regions, we work with our NU's as sales teams. We also work with partners that are dedicated to sell OEM based solutions as well. So it's both a direct and indirect route to market our OEM sales teams will be working with our NUs sales teams also. Because there's a certain amount of knowledge and expertise that's needed. And our NUs sales teams won't necessarily have that. That's what we bring to the table. And we've got many many years of experience of doing just that, so it's a combination but we do have dedicated resources for a sales side. The second thing we have is, we've got program managers and technologists that are dedicated to OEM, so when we start working with an OEM customer we make sure that we can bring in people who understand, the product life cycles, they also understand the technology so that we can go through that innovation curve with them as well. >> So talk about the life cycles a little bit I said the sales cycles tend to be very long which is generally true of OEM business but the life cycle times are often times very compressed, so you're under a lot of pressure to keep innovating. So, talk about that. Is that the case in sort of the used cases that you're entering and how are you dealing with that? >> With IoT it can be very varied to a product cycle that can be down to six to 12 months to some cycles that can be 10 years or more. So if you think about it, if a customer's designing a piece of sophisticated equipment and they want an embedded computer solution within it what they don't want to do is see lots and lots of change. So sometimes the design can be current for five, 10, even 15 years. We're asked to support for those types of life cycles. So actually it's quite a mix, and as long as the product is competitive in the marketplace, we're really really happy to work with our OEMs and support that. >> And you need a scalable architecture, you've got to support the head room. What's your observation on that? And how are your customers on the OEM side, approaching that because they have to also put a compelling product out there allows the head room. What's the current state of the art, if you will, in terms of the tech? >> Well, one of the things is once they build a solution they don't really want to change it too many times unless it's innovating and offering more to their clients base directly. And so what we try to do is, we work to change management cycle to allow that to be as easy as possible. But when we bring new generations of technology along, so here at discover we're talking about generation 10 as our new offering on our compute service side, which I'm sure you've heard about. We work with our OEM customers to actually plan when they will implement it in their life cycle. And obviously what they try to do is to marry it up to providing additional innovation and benefit to their clients. So it needs to be planned, but when it's planned correctly it really can make the difference. >> So take us through a conversation, I think this is interesting because you guys have a lot to bring to the table, portfolio wise, you've got Aruba. >> Male: Yep. >> You've got the hardware, you've got the converged software, infrastructure, all that great stuff. When you talk with the customers, what are they comparing you to? I mean, competition wise, there's a lot of noise out there, certainly in IoT. We heard from DeLloyd, talking about some of the things that their customers are facing on the joint solutions. There's a lot of decisions, there's a lot of obstacles there. How do you guys compare and what are those conversations like? >> The conversations we have, they start with, what's the business problem? What are we trying to solve? And the usual areas that people focus on are how do you drive efficiency as cost saving? Number one business challenge. The second is how do you innovate and drive additional differentiation against your competition? So we start there, and then we start looking at potential ways to solve those problems. So we start looking at used cases around things like preventive maintenance, condition monitoring, location based functionality, we're looking at things like smart city solutions. And then what we try to do is come down to the assets that we've got and the capabilities we've got as a company to solve those problems. We never start with the technology, we always start with the business problem that we're trying to solve. >> And how do you compare, at the end of the day, when the customer lays out the solution vis-a-vis the competition, where do you guys shine? >> We think we shine really well. We think we've got a compelling proposition, we've got some great IoT assets, we've got some innovation that we're bringing, particularly when you look at some of the security features of our connectivity, when you look at our ability to compute at the edge. We think that we've actually got a strong message to say, compared to some of our competitors on the block, so we think we've got a strong story. And we think we've got a reason to have customers come talk to us. >> We talked in Intel recently at Mobile World Congress and then at South by Southwest and they have the pillars of societal changes. Autonomous vehicles, smart cities, music and entertainment, smart homes. They're kind of corpulous for the five G and how all this network transformation is happening. Where do you guys, outside of media entertainment which you guys do do business in. But those are, other areas like smart cities, autonomous vehicles and intelligent home. Those are I0o havens, right? I mean, you guys see those as really big markets? >> Yeah we do, I guess the biggest market that we're looking at is really around manufacturing right now because we see opportunities to drive, as I mentioned earlier, on efficiencies and cost savings out by collecting up and using the data which their currently generating but their actually not looking at the business insights within it. So manufacturing is a key opportunity for us. We're working with some really interesting customers to drive some great business outcomes. We're also looking at smart city, this week we're announcing some work we've been doing with Tata Communications in India. Connecting over 400 million of their citizens, and delivering additional service value on top of the platforms that we build around security, around healthcare and other things. But we think one of the biggest markets right now is around manufacturing. And that's where we're trying to put a lot of energy. >> I wanted to as you, Pete, about the data because data's abundant but the insights around that data are very scarce. And so when you think about an OEM business how do you think about the data play? It sounds like, I inferred from what you said that you're helping people get value out of the data. Are you also utilizing that data in other ways in your business? Whether it's predictive maintenance, or some kind of aggregate or talk about that data. >> So, the answer is yes in all counts. The data is absolutely critical. When you're building a preventive maintenance solution in order to get to condition monitoring you've got to collect enough data, look at the trends, and then be able to take action based on it. We're working with companies that are really really experts at doing that. So we've got relationships with the likes of GE digital, with their predicts platform. So we're doing a lot of ghost market activities with those. We're working with other customers like Natural Instruments and PTC that have got that data insight and that history and that level of industry touch and expertise. But when you work with them in partnership you can actually drive some significant data insights for customers. So for us it's about getting the right partnerships in those areas to generate the business insights and ultimately address the business challenges associated with them. >> Pete, we really appreciate you coming on theCUBE and we're going to keep monitoring the progress. Certainly, customer adoption there's always a great metric. And IoT is hot, low hanging fruit, manufacturing, some of these industries are ripe 'cause they're all set up for it, but it certainly the network transformation that's happening and congratulations on great progress. Thanks for coming on theCUBE. More CUBE action, live, here at HPE Discover 2017 in Las Vegas. I'm John Furrier with Dave Vellante. Stay with us, for more day one coverage after this short break. (techno music)
SUMMARY :
brought to you by Hewlett Packard Enterprise. and strike the cylinders, talk to the thought leaders and the business opportunity for you guys? and see great potential to enhance but that speaks to the pressure enable benefits to be seen and we want to really Well first of all, we think we've got a great OEM sales cycles tend to be very long, and then we start looking at where they plan to deploy and expect to be doing is custom activity? What we tend to find is, we've actually got to be different, it's those sort of customizations And is it direct to those OEMs? are dedicated to OEM, so when we start working with I said the sales cycles tend to be very long So if you think about it, if a customer's designing approaching that because they have to also So it needs to be planned, but when it's planned you guys have a lot to bring to the table, We heard from DeLloyd, talking about some of the things and the capabilities we've got as a company on the block, so we think we've got a strong story. They're kind of corpulous for the five G customers to drive some great business outcomes. And so when you think about an OEM business So we've got relationships with the likes of Pete, we really appreciate you coming on theCUBE
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Brian Frager, Technicolor | NAB Show 2017
>> Narrator: Live, from Las Vegas, it's theCUBE. Covering NAB 2017. Brought to you by HGST. (lively music) >> Welcome back everybody. Jeff Frick here, everybody, with theCUBE. We are live at NAB 2017 at the Las Vegas Convention Center. 100,000 people, all kinds of gear. If you're into video and you're into fun, this is the place to be. We're real excited to have Brian Frager on. He's a VR and AR creative producer for Technicolor. Welcome Brian. >> Thank you, happy to be on. >> And then, on your bio, you have all my new vocabulary words that I've picked up. Photo, I can't even say the stupid word. Photogrametgramatry? >> Gamatry, photogrammetry. >> Jeff: Awesome. >> Yeah. >> So, first off, welcome. >> You've been doing this PR thing, since the beginning, early days. >> It's still early days. >> Jeff: It's still early days. >> Basically, I have a film back on, a traditional film production. But when I saw these new work flows emerging in these interactive stories and really, the whole spectrum of story telling opening up from what was, traditionally, either a film or a video game. Now, there's this whole spectrum of experiences in between that are, very much, a hybrid between the two and you, as a user or an audience, have some agency and some control over how you effect the experience. I was just all in on that. I took a deep dive into coding and development and the game engines and landed at Technicolor within the last few months. >> And that's through the volumetric video response to that, right? Cause you're creating a space or correct me if I'm wrong. >> Brian: Exactly. >> And now you interact in that space. >> Exactly, so you're building a whole environment and the idea is that, the user rather than, most 360 experiences that we're seeing right now that are being shipped as VR, are, really, just from a fixed point. Even though you can look around and that's, a little bit, innovative it's still very restrictive in how you can interact with the space. We focus on real time rendered game engine experiences where you build the entire environment and so, really, you, as a user, can go walk around the whole room, look at anything, inspect things and you just have a lot more freedom to explore. >> On the story telling aspect of that, how does that now, get stitched into what's, basically, a video game engine? >> That's a great question. It is a paradime shift because rather than dictating the sequence of events or the linear story and force feeding it to an audience, you're, really, creating an open world. You want to design it in a way where they still take away a narrative experience or at least some kind of experience from it. But you need to give the user freedom to navigate that world however they see fit. It's about a lot of play testing, to be honest, to get early iterations out into user's hands and to see what they're instinct is. You have an idea for how they're going to consume something but until you see someone in the experience and see what they're impulse is and what they want to interact with, then you can build towards that. So, it's a more iterative process that's more akin to game development. >> Are you sharing any funny stories or surprises or something where you thought somebody's going to go left and they went right, just completely counter to what you built into your script if you will? >> Oh man, funny experiences. You know, so we've been to a few festivals. We premiered it at Sundance and then at South by Southwest. We've put hundreds of people thought it. There's one character that's very anthropomorphized and we had an idea that people would like to interact with it. But the minute it shows up, there's people getting on the ground next to this little water buffalo and he's just chillin and looking around. And there's people sitting right next to him and trying to pet him and do all kinds of things and you realize people, once they feel emersed in a space and they find something they can emotionally connect with, they just want to hang out there and spend some time with that as a microcosm of the experience. So, we added some little interactive elements to him. So, that was an insight. Actually, the fumiest was when I showed it to my mom for the first time. They don't, totally, understand this new world. A character appeared and she happened to be standing, you never know where the user's going to be standing in these paths. So, she happened to be standing directly in the path where the character was going to run. So, she turns around and sees the character and it just starts running straight at her and she just screams and throws the controller. (laughing) And the character just goes right through you but you know, that immersion. You feel like you're about to get hit by something. >> Right, right. So, a lot of us have played, I've got the Samsung thing I put my Galaxy in. What are some of the secrets that help people feel that immersive experience? In terms of is it, really it's not the super quality view cause a lot of times, you don't have that. But a lot of times, it's the softer things is what pull people in. So, what are the things that, really, make it connect with people from VR? >> Absolutely, there's a lot of elements because, really, you are recreating reality, sense by sense. The nice thing about VR is our visual system is so overpowering in terms of how we interpret the world around us that, luckily, that's been the access point and the entry point to this whole VR boom that we've seen. Is that, finally, mobile screens are at a point, the sensors are all packed very tight. So, we can, really, ship at a low cost. Google cardboard, for example, being the widest distribution and give people a pretty compelling visual experience. That's really step one and I'd say that's, pretty well, established and distributed. >> Visuals and audio have been married but, really, it's about bringing the other senses into VR. For example, the agency of being able to move around a space and interact with real things in the space. That's more commonly termed mixed reality and that's going to be the next wave that you're going to see which is highly interactive spaces that are more of a mixture of the virtual world and physical elements. So that, even though I'm in a headset and I see a pen, in the headset, when I reach out and touch it, there's really a pen there that's tracked in the space. That adds a whole other level of immersion that allows it to be social. Because that's a contract between you and I that this is a physical thing that one of us is holding. It allows for a whole new world of opportunities of what can be done in VR. >> How important is the social aspect, in terms of adoption? Yourself or your mom cruising around on her own versus the opportunity to bring other people in? Is that some of the stuff that's going to make this, really, the killer app to get it over the next hump? Or what is the killer app, I guess, beyond cruising around half the time? >> 100%, I think it's making it social. How to open up that world. Because right now, it is a very isolating experience. There's no reason that it has to be, necessarily, it's just that the user base is not congregated around individual platforms. Facebook made a big opening salva last week when they released their Facebook spaces. That allows you to bring in people from the real world into your virtual experience. By being able to, through Facebook Messenger, I can call out while I'm in VR, I can call out to anyone who has Facebook Messenger's app installed. Then, I get a little video feed and they see me as an avatar on their phone screen. So, it's those hybridizations of connecting people in VR to people who are outside in the real world that's going to, really, hit the inflection point of wide adoption. >> There were some early versions of that in the past right? Where you had these virtual reality spaces inside the computer but they were not nearly as immersive as the ones that we have today. Why did those not, really, take off What was the one of them? I can't think of the name right now. Let's say it's Second City but that's not it. >> Brian: Oh, Second Life? >> Second Life versus today's world. What changed? >> Sure well, I wouldn't characterize Second Life as a failure. It had it's heyday. >> No, not a failure but I mean, it was an early attempt at what you just described, really, in the Facebook Messenger which is what triggered the thought. >> And funny enough, the Second Life team is now creating the virtual version of that called High Fidelity. So, they have their own attempt. There's a couple of other like ALTSpace Nobody has the install base of Facebook. And so once you plug in to that community, you're already connected with your friends. It just takes away the friction. The friction of VR is, really, what's holding back people. That and the isolation, I'd say, from wide adoption. Which is that, it's just not a seamless experience. Going in, finding the app I want, connecting with people easily. Being an early adopter, I've tried to run meetings through the Oculus social spaces. There's just a lot of friction with technical issues and people dropping in and out. It improves. They do releases all the time. All those issues are being worked out and the friction's just going to slowly going to go away to the point where it will be more convenient for us to take a meeting where we can sit face-to-face and read each other's expressions then it will to try to get the same amount done over the telephone or something like that. >> I have to laugh cause every time, whether you're on WebEx, pick your favorite meeting tool. It's still technical issues. I was thinking that YouTube video. One of the greatest YouTube videos ever. >> New medium, same problem. >> Yeah, same problem. Is Bob even here? He checks in at the end of the meeting. So, that's very cool. As you look forward and I know it's a fast moving space. What are some of your priorities? What do you see as some short term changes that are going to make a big impact? And what about, say a year from now. I don't even want to even guess much further out than that, that you see coming down the pike that's going to have a huge impact on the adoption of VR? >> Sure, so at the low end, we're starting to see inside out tracts mobile solutions. Meaning that, you can get that same kind of freedom to wander around a space that you can on a Vive or an Oculus but with a mobile headset. So, because the price point and the buried entry is so low, everyone already has or they'll have soon enough, a phone that's capable of running an experience like that. I think that will be an important first step. At the Technicolor Experience Center, which is Technicolor's new VR and AR and mixed reality focused wing, they're really betting that these immersive stories are the future of entertainment and how that will trickle across different market adjacencies and verticals to apply to medical and education and sports and fitness. The applications are just endless. I think we're seeing early Enterprise adoption right now. And then, on the consumer side, gaming is, really, where they found the early niche and there is a modernization model. But what we're, personally, interested in is showing people the very, very high end of what VR can be. Because once we show them the high end, they have a compelling reason to familiarize themselves with whatever it can be to them today. We're working on very high fidelity tract spaces where social and networks and we can be geographically together or remotely beamed in together but we feel embodied in that space in a way that's more immersive than currently available. In terms of being able to move lens and interact with the objects around us. That's what we're trying to prove out at Technicolor is how do we build high end entertainment experiences around those technical infrastructures that are not widely deployed today but they will be coming. I think, for monetization on those models, you're going to see a lot of installed spaces that people will, hopefully, flock to to get these high end experiences. >> So, what's your favorite high end experience right now? >> Well, I did get the chance to do the Void, the Ghostbusters VR Experience after Sundance and that was pretty incredible. It was a lot of fun. Just cause you're in it with someone else. It's like a new version of laser tag. It can apply to other areas, that was just a shooter game. Just that shared experience where we are both in the space together and we just know that we're getting access to this virtual world that no one else is seeing is a really special thing. >> It's just amazing how powerful the social aspect is to all these things. >> You want to talk about it with people. >> You want to talk about it. You want do it with somebody. You want to share it. It's such a powerful impact. >> Yeah and, I think, even on the mobile side that will help open up the world a lot because right now, if it's on a Vive or an Oculus, you can plug it into a monitor or a TV and I can see what you're doing in it. So, that's easy enough for me to feel like I'm, at least, participating in your experience. But when you're in mobile right now, you're, pretty much, locked in and I, really, have no idea what you are doing in the experience. So, I think, making it easily shareable across traditional channels or just me being able to opt into your experience or jointly share one, those are all things that are going to make it much more compelling for us to just say, hey, we have 10 minutes, let's dive into VR and do something together. That would be fun. >> Right, right, very cool. Alright Brian. Thanks for stopping by out of your busy day. >> Of course. Great to talk. >> Alright, Brian Frager. I'm Jeff Frick. You're watching theCUBE from NAB 2017. Thanks for watching. (lively music)
SUMMARY :
Brought to you by HGST. We are live at NAB 2017 at the Las Vegas Convention Center. Photo, I can't even say the stupid word. since the beginning, early days. and development and the game engines response to that, right? and the idea is that, the user rather than, or the linear story and force feeding it And the character just goes right through you What are some of the secrets that help people and the entry point to this whole VR boom that we've seen. and that's going to be the next wave it's just that the user base nearly as immersive as the ones that we have today. Second Life versus today's world. It had it's heyday. really, in the Facebook Messenger and the friction's just going to slowly going to go away One of the greatest YouTube videos ever. He checks in at the end of the meeting. and the buried entry is so low, Well, I did get the chance to do the Void, the social aspect is to all these things. You want do it with somebody. So, that's easy enough for me to feel Thanks for stopping by out of your busy day. Great to talk. Thanks for watching.
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Abhishek Mehta, Tresata - Big Data SV 17 - #BigDataSV - #theCUBE
>> Voiceover: From San Jose, California, it's The Cube, covering big data Silicon Valley 2017. >> Welcome back, everyone. Live in Silicon Valley for BigData SV, BigData Silicon Valley. This is Silicon Angles, The Cube's event in Silicon Valley, with our companion event, BigData NYC, in conjunction with O'Reilly, Strata, Hadoop, Hadoop World, our eighth year. I'm John Furrier, my co-host Jeff Frick, breaking down all the action, and our superguest, Abhi Mehta, the CEO of Tresata. He's been on every year since 2010, and the CEO of very successful Tresata, building out the vertical approach in financial net health. Welcome back, good to see you. Thank you, John, always good to see you. >> The annual pilgrimage to have you on The Cube. >> Abhi: This is literally a pilgrimage. I was exchanging messages with your co-host here, and he was pinging me, saying, "You got to come here, you got to get to this thing." I made it. The pilgrimage is successful. >> Yeah, a lot's happened, right? Data's the new oil. We've heard it over again. You had the seminal first interview in 2010, calling the oil refineries the data refineries. Turns out that was true. We always love to talk about that prediction every time you're on, but it's so much going on now. You can't believe the shift. Certainly, Hadoop has got a nice little niche position as Batch, but real time processing, you've seen the convergence of Batch, and streaming, and all that good stuff in real time, with the advances of clouds, certainly, more compute, Intel processors are getting more powerful, 5G over the top, you have connective cars, smart cities, on and on, IoT, Internet of things, all powering this new deep learning and AI trend. Man, it is game changes. I see this as a step-up function. What's your thoughts? This is going to create more data, more action. >> I agree with you. I always remind myself, John, especially when I talk to you guys, and we were chatting about this right before we went on air, which is, as smart as we as humans are, trends repeat themself. I'll be talking about AI. We all went to school, and did things in AI, you know? The whole neural networks thing has not been new. It's almost like fashion. Bell bottoms come in fashion every 20 years. I will never be seen in them again. Hopefully, neither will you. AI seems to be like that. I think the thing that hasn't changed, and yes, absolutely agree with you, that as escrows shift, as you've said, almost at this point a decade ago, there's a fundamentally new technology escrow shift under way, and escrow shifts take time. We will look back at this 10 years saying it was literally the first, second inning of this new escrow shift. I think we are entering the second innings where the conversation around Batch, real time storage, databases, the stacks, is becoming less important, and AI and deep learnings are examples of it, conversations on, how can you leverage cheaper, better, faster technology to solve and answer unanswered problems is becoming interesting. I think the basics haven't changed though. What we have spoken with you for almost eight years remain the same. The three basics around every technology trend remain the same. I think you guys will agree with me. Let me just play it by you and you can either contest it or agree with me. Data is the new competitive effort. It is unequivocally clear that the new asset, the most valuable enterprise asset has become data, and we've seen it in data companies, Facebook, Google, Uber, Airbnb, they're all fundamentally data companies. Data is the new competitive effort. The more you have of it, the better off you are. I always love people who say, "Big Data, this is a bad term." It isn't, because big data, fundamentally, in those two words, defines the very pieces of what we built Tresata on, which is, the more data you have, and if you can process and extract intelligence from it, borrowing your term, extract signal from the noise, you can make a lot of money on it. I think that fundamental basic hasn't changed. >> Big Data, to me, was always about big storage kind of a view. We coined the term Fast Data on The Cube, so that now speaks to the real time. It's interesting. I just see that the four main new areas that are being talked about outside of the Big Data world are autonomous vehicles, smart cities, smart home, and media and entertainment, and each one of those, I would say that the data is the new weaponization. There's an article that was great this month called "Weaponizing AI," and it had to do with Breitbart, and the election, and that's media and entertainment. You've got Netflix, all these new companies. Data is content, content is data. It's a digital asset. This AI component fits into autonomous vehicles, it fits into media and entertainment, fits into smart cities, and smart home. >> You also raise a very interesting point. I think that we can take comfort in the fact that we have seen this happen. This is not an idea anymore, or it's not just a wild idea anymore, which is, we have seen massive disruption happen in consumer industries. Google has created a brand new industry in how to market stuff, could be any stuff. Facebook created a brand new way of not just being in touch with your friends globally, 'cause people have thousands of friends, not true, but also, how do you monetize deep preferences, right? A twist on deep learning, but deep, deep preferences. If I know what Jeff likes, I can market to him better. I think we're about to see, the industries you just mention, is, where will success come from in enterprise software? I always ask myself that question when I come to any of these conferences, Strata, others, there's now an AI conference. What will the disruption that we have seen happen in consumer industries, we'll just mention automobiles, media entertainment, et cetera, what is going to happen to enterprise software? I think the time is ripe in the next five years to see the emergence of massive scale creation. I actually don't think it'll get disrupted. I think we will see, just like with Facebook, Google, Uber, the creation of brand new industries in enterprise software. I think that's going to be interesting. >> Mark Cuban said at South by Southwest this week, where The Cube was with the AI lounge with Intel, he was on stage saying, "The first tech trillionaire "will come out of deep learning," and deep learning is kind of the underpins for AI, if you look at all the geek stuff. To your point that a new shift of opportunity, whether it comes in from the enterprise side, or consumer, or algorithmic side, is that there's never been a trillionaire. >> Abhi: No, there hasn't. >> I want to push back a little bit, because I don't think it always was that way with data. We used to have sampling. It was all about sophistication on sampling, and data was expensive to store, expensive to collect, and expensive to manage. I think that's where the significant change is. The economics of collecting, and storing, and analyzing are such that sampling is no longer the preferred method. To your point, it's the bigness. >> Absolutely, you know exactly where I stand on that. >> Jeff: Now it's an asset. >> You know exactly where I stand on that. I said on The Cube, at this point, almost a decade ago, sampling is dead, and it's for that particular reason. I think the reality is that it has become a very tricky area to be in. Buzzwords aside, whether it's deep learning, AI, streaming, Batch, doesn't matter, Flash, all buzzwords aside, the very interesting thing is, are we seeing, as a community, the emergence of new enterprise software business models? I think ours is an example. We are now six years old. We announced Tresata on The Cube. We have celebrated our significant milestones on The Cube. We'll announce today that we are now a valuable member of society in terms of you pay tax as a company, another big milestone for a company. We have never raised venture money. We had a broad view when we started that every single thing we have learned as a industry enterprise software, the stack, databases, storage, BI, algorithms are free. Dave was talking about this earlier this week. Algorithms, analytical tools, will all become free. What is this new class of enterprise software that creates value that can then be sold as value? Buyers, corporations are becoming smart to realize and say, "Maybe I can't hire people "as smart as some of the web industries "on this side of the coast, "but I can still hire good talent, the tool set is free. "Should I build versus buy?" It fundamentally changes the conversation. Databases is a $2 trillion industry. Where does that value shift to if databases are free? I think that's what is going to be interesting to see, is, what model creates the new enterprise software industry? What is that going to be? I do agree with Mark Cuban's statement, that the answer is going to lie in, if the building blocks are free and commoditized, you guys know exactly where I stand on that one, if the building blocks are commoditized, how do you add value in the building block? It comes from the point you made, industry knowledge, data, owning data and domain knowledge. If you can combine deep domain expertise to be an advanced application that solve business problems, people don't want to know if the data is stored in a free HDFS system, or in some other system, or quantum computing, people don't care. >> I got to get your take on the data layer because this is where it's come. We had a lot of guests on saying, with the cloud, you can rent things, algorithms are free, so essentially, commoditization has happened, which is a good thing, more compute, everything else is all great, all the goodness around that. You still own your data. The data layer seems to be the LAN grab, metadata. How do you cross-connect the data layer to be consistent fabric? >> Here's how we think of it, and this is something we haven't shared publicly yet, but I believe you see us talk a lot more about this. We believe there are three new layers in the technology fabric. There is what we call the hardware operating system. The battle has been won by a company that we all like a lot, Red Hat, I think mostly won. Then there is what we call the data operating system, what you call the data layer. I think there's a new layer emerging where people like us sit. We call it the analytics operating system. The data layer will commoditize as much as the hardware operating system, what I call the layer, commoditized. The data operating system fight is moot. Metadata should not be charged for. Massive data management, draining the swamp, whatever you want to call it, every single thing in the data operating system is a commodity where you need volumes, you all are businessmen, you need volumes, in the P times V game, you need volumes to sustain a profit business model. The interesting action, in my opinion, is going to come in the analytics operating system. You are now automating hardcore, what I call, finding intelligence questions, whether it's using deep learning, AI, or whatever other buzzword the industry dreams up in the next five years, whatever the buzzwords may be, immaterial, the layer that automates the extraction of intelligence from massive amounts of data sitting in the data layer, no matter who owns it, our opinion is, Tresata, as an enterprise software player, is not interested to be a data owner. That game, I can't play anymore, right? You guys are a content company, though. You guys are data owners, and you have incredible value in the data you're building. For us, it is, I want to be the tool builder for this next gold rush. If you need the tools to extract intelligence from your data, who's going to give you those tools? I think all that value sits in what we call the analytics operating system. The world hasn't seen enough players in it yet. >> This is an interesting mind bender, if you think about it. When you said, "analytics operating system," that rings a few bells and gets the hair standing on the back of my head up because we're in a systems world now. We kind of talk about this in The Cube where operating systems concepts are very much in play. If you look at this ecosystem and who's winning, who's losing, who's struggling, who's falling away, is, the winners are nailing the integration game, and they're nailing the functional game, I think, a core functional component of an operating environment, AKA, the cloud, AKA data. >> Agreed. >> Having those functional systems, as an operating system game. What is your view of what an analytics operating system? What are some of those components? I mean, most operating systems have a linker, loader, filer, all these things going on. What's your thoughts on this analytical operating system? What is it made of? >> It's made of three core components that we have now invested six years in. The first one is exactly what you said. We don't use the word integration. We now call it the same word, we have been saying it for six years, we call it the factory, but it's very similar, which is, the ability to go to a company or enterprises with unique data assets, and enrich, I will borrow your term, integrate, enrich. We call it the data factory, the automation of 90% of the workload to make data sitting in a swamp usable data, part one. We call that creation of a data asset, a nice twist or separation from the word data warehousing we all grew up on. That's number one, the ability to make raw data usable. It's actually quite hard. If you haven't built a company squarely on data, you have to be able to buy it because building is very hard, number one. Number two is what I call the infusion of domain-centric knowledge. Can industries and industry players take expert systems and convert them into machine systems? The moment we convert expert systems into machine systems, we can do automation at very large scale. As you can imagine, the ability to add value is exponentially higher for each of those tiers, from data asset to now infusion of domain knowledge, to take an expert into a machine system, but the value trade is incredibly large as well. If you actually have the system built out, you can afford to sell it for all the value. That's number two, the ability to take expert system, go to machine systems. Number three is the most interesting, and we are very early in it. I use the term on The Cube, I'm going to be more forward-thinking over here, which is automation. Today, the best we can do with leveraging incredibly smart machines, algorithms, at scale on massive amounts of data is augmenting humans. I do fundamentally believe, just like self-driving cars, that the era where software will automate a tremendous amount of business processes in all industries is upon us. How long it takes, I think we will see it in our lifetimes too. When you and I have both a little bit more gray hair, we're saying, "Remember, we said about that? "I think automation's going to come." I do believe automation will happen. Currently, it's all about augmentation, but I do believe that business-- >> John: Cubebots are coming. We're going to have some Cubebots. >> We will have Cubebots. >> John: Automated Cube broadcasting. >> John, we'll give them your magnificent hair, and they know they'll do it. I do believe automation of complex human processes, the era of enlightenment, is upon us, where we will be able to take incredibly manual activities, like hailing a car today, to complex activities, looking at transaction information, trading information, in split second time, even quicker than real time, and making the right trading decision to make sure that Jeff's kids go to college in a robo-advisor-like mode. It's all early, but the augmentation will transform to automation, and that will take some time to do them at three tiers in the AOS. >> Then, if we are successful at converting the expert to machine system, will the value of that expert system quickly be driven to zero due to the same factors that automation has added to many other things that have been sucked in? >> You guys always blow my mind. You always push my thinking when I come here. >> I just love the concept, but then, will the same economics that have driven asumtotically approaching zero costs, then now go to these expert systems? >> You know the answer. The answer is absolutely, yes. The question then becomes, how long of an era is it? What we have learned in technology is escrow shifts take time. This era of enlightenment, what I'm calling the era of enlightenment, that enterprise software is about to enable, and leaving aside all other buzzwords, whether it's deep learning, AI, machines, chatbot, doesn't matter, the era of enlightenment is absolute. I think there'll be two things. First of all, it'll take time to mature. Yes, whether it's 50 years, 40 years, or 30 years, does it, at some point, become it's own commodity? Absolutely. The marginal value we can deliver with a machine, at some point, does go to zero, because it commoditizes it, at scale, it commoditizes it, absolutely, but does that mean the next 30 years will not be a renaissance in enterprise software? Absolutely not. I think we will see ... Let's take the enterprise IT market, what, two to three trillion dollars a year? All of it is up for grabs, and we will see in the next 20, 30, 40, 50 years that, as it is up for grabs, tremendous amount of value will be re-traded and recreated in completely new industry models. I think that's the exciting part. I won't live for 50 years, so it's okay. >> I know we got a minute or so left. I want to get your thoughts on something that we're seeing here, The Cube this year pointed out. We've kind of teased around it, but again, Batch and real time process streaming, all that's coming together. The center of that's IoT data and AI, is causing product gaps. There are some gaps that are developing, either a pure play Batch player, or your real time, some people have been one or the other, some are integrating in. When you try to blend it together, there's product gaps, organizational gaps, and then process gaps. Can you talk about how companies are solving that? Because one supplier might have a great Batch solution, data lake, some might have streaming and whatnot. Now there seems to be more of an integrated approach, bringing those worlds together, but it's causing some gaps. How do companies figure that out? >> I believe there's only one way, in the near term, and then potentially even moreso in the long term, to bridge that divide that you talk about. There absolutely is a divide. It's been very interesting for us especially. I'll use our example to answer your question. We have a very advanced health analytics application to go after diabetes. The challenge is, in order to run it, not only do you need lots and lots of data, IoT, streamed, real time from sensors you wear on your body, you need that. Not only do you need the ability and processing power to crunch all that data, not only do you need the specific algorithms to find insights that were not findable before, the unanswered questions, but the last point, you need to be able to then deliver it across all channels so you can monetize it. That is a end-to-end, what I call, business process around data monetization. Our customers don't care about it. They come to Tresata and they say, "I love your predictive diabetes outcomes application. "I have rented the system from the cloud," Amazon, Azure, I think at this point, only two players. We don't see Google much in it. I'm sure they're doing something in it. We have rented you the wheels, and the steering, and the body, so if you want to put it together to run your car on the track, you could. Everything else is containerized by us. I call them advanced analytics applications. They're fully managed. They run on any environment that is given to them because they are resource ready, whatever environment they play in, and they are completely backwards and forwards integrated. I think you will see the emergence of a class of enterprise software, what we call advanced analytics applications, that actually take away the pain from enterprises to worry about those gaps, 'cause in our case, in that example I just gave you, yes, there are gaps, but we have done it enough off a automation cycle on the business process itself, that we can title with the gaps. >> Abhi, we got to go. Glad we could squeeze you in. >> Abhi: Thank you. >> Quick 30 seconds, the show this year, what are you seeing? What's the buzz coming out of? What's the meat, what's the buzz from the show here? What's the story? >> I continue to believe that we are in an era that will redefine what we have seen humans do. The people at the show continue to surprise me because the questions they've been asking over the last eight years have slightly changed. I'm done with buzzwords. I don't pay attention to buzzwords anymore. I see a maturation. I think I said it to you before. I see more bald heads and big pates. When I see that in shows like these, it gives me hope that, when people who grew up in a different escrow have borrowed a new escrow, the pace would strengthen. As always, phenomenal show, great community. The community's changing and looking different in a good way. >> We feel your pain in the buzzword. As we proceed down this epic digital transformation, over the top, 5G, autonomous vehicles, Big Data analytics, moving the needle, all this headroom, future proofing, AI, machine learning, thanks for sharing. >> Abhi: Thank you so much, as always. >> More buzzwords, more signal from the noise here on The Cube. I'm John Furrier, Jeff Frick, and George Gilbert will be back right after this short break. (electronic music)
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AI for Good Panel - Autonomous World | SXSW 2017
>> Welcome everyone. Thank you for coming to the Intel AI lounge and joining us here for this economist world event. My name is Jack. I'm the chief architect of our autonomist driving solutions at Intel and I'm very happy to be here and to be joined by an esteemed panel of colleagues who are joining to, I hope, engage you all in a frayed dialogue and discussion. There will be time for questions as well, so keep your questions in mind. Jot them down so you ask them to us later. So first, let me introduce the panel. Next to me we have Michelle, who's the co-founder and CEO of Fine Mind. She just did an interview here shortly. Fine Mind is a company that provides a technology platform for retailers and brands that uses artificial intelligence as the heart of the experiences that her company's technology provides. Joe from Intel is the head of partnerships and acquisitions for artificial intelligence and software technologies. He participated in the recent acquisition of Movidius, a computer vision company that Intel recently acquired and is involved in a lot of smart city activities as well. And then finally, Sarush, who is data scientist by training, but now has JDA labs, which is researching emerging technologies and their application in the supply chain worldwide. So at the end of the day, the internet things that artificial intelligence really promises to improve our lives in quite incredible ways and change the way that we live and work. Often times the first thing that we think about when we think about AI is Skynet, but we at Intel believe in AI for good and that there's a lot of things that can happen to improve the way people live, work, and enjoy life. So as things in the Internet, as things become connected, smart, and automated, artificial intelligence is really going to be at the heart of those new experiences. So as I said my role is the architect for autonomous driving. It's a common place when people think about artificial intelligence, because what we're trying to do is replace a human brain with a machine brain, which means we need to endow that machine with intelligent thoughts, contexts, experiences. All of these things that sort of make us human. So computer vision is the space, obviously, with cameras in your car that people often think about, but it's actually more complicated than that. How many of us have been in a situation on a two lane road, maybe there's a car coming towards us, there's a road off to the right, and you sort of sense, "You know what? That car might turn in front of me." There's no signal. There's no real physical cue, but just something about what that driver's doing where they're looking tells us. So what do we do? We take our foot off the accelerator. We maybe hover it over the brake, just in case, right? But that's intelligence that we take for granted through years and years and years of driving experience that tells us something interesting is happening there. And so that's the challenge that we face in terms of how to bring that level of human intelligence into machines to make our lives better and richer. So enough about automated vehicles though, let's talk to our panelists about some of the areas in which they have expertise. So first for Michelle, I'll ask... Many of us probably buy stuff online everyday, every week, every hour, hourly delivery now. So a lot has been written about the death of traditional retail experiences. How will artificial intelligence and the technology that your company has rejuvenate that retail experience, whether it be online or in the traditional brick and mortar store? >> Yeah, excuse me. So one of the things that I think is a common misconception. You hear about the death of the brick and mortar store, the growth of e-commerce. It's really that e-commerce is beating brick and mortar in growth only and there's still over 90% of the world's commerce is done in physical brick and mortar store. So e-commerce, while it has the growth, has a really long way to go and I think one of the things that's going to be really hard to replace is the very human element of interaction and connection that you get by going to a store. So just because a robot named Pepper comes up to you and asks you some questions, they might get you the answer you need faster and maybe more efficiently, but I think as humans we crave interaction and shopping for certain products especially, is an experience better enjoyed in person with other people, whether that's an associate in the store or people you come with to the store to enjoy that experience with you. So I think artificial intelligence can help it be a more frictionless experience, whether you're in store or online to get you from point A to buying the thing you need faster, but I don't think that it's going to ever completely replace the joy that we get by physically going out into the world and interacting with other people to buy products. >> You said something really profound. You said that the real revolution for artificial intelligence in retail will be invisible. What did you mean by that? >> Yeah, so right now I think that most of the artificial intelligence that's being applied in the retail space is actually not something that shoppers like you and I see when we're on a website or when we're in the store. It's actually happening behind the scenes. It's happening to dynamically change the webpage to show you different stuff. It's happening further up the supply chain, right? With how the products are getting manufactured, put together, packaged, shipped, delivered to you, and that efficiency is just helping retailers be smarter and more effective with their budgets. And so, as they can save money in the supply chain, as they can sell more product with less work, they can reinvest in experience, they can reinvest in the brand, they can reinvest in the quality of the products, so we might start noticing those things change, but you won't actually know that that has anything to do with artificial intelligence, because not always in a robot that's rolling up to you in an aisle. >> So you mentioned the supply chain. That's something that we hear about a lot, but frankly for most of us, I think it's very hard to understand what exactly that means, so could you educate us a bit on what exactly is the supply chain and how is artificial intelligence being implied to improve it? >> Sure, sure. So for a lot of us, supply chain is the term that we picked up when we went to school or we read about it every so often, but we're not that far away from it. It is in fact a key part of what Michelle calls the invisible part of one's experience. So when you go to a store and you're buying a pair of shoes or you're picking up a box of cereal, how often do we think about, "How did it ever make it's way here?" We're the constituent components. They probably came from multiple countries and so they had to be manufactured. They had to be assembled in these plants. They had to then be moved, either through an ocean vessel or through trucks. They probably have gone through multiple warehouses and distribution centers and then finally into the store. And what do we see? We want to make sure that when I go to pick up my favorite brand of cereal, it better be there. And so, one of the things where AI is going to help and we're doing a lot of active work in this, is in the notion of the self learning supply chain. And what that means is really bringing in these various assets and actors of the supply chain. First of all, through IOT and others, generating the data, obviously connecting them, and through AI driving the intelligence, so that I can dynamically figure out the fact that the ocean vessel that left China on it's way to Long Beach has been delayed by 24 hours. What does that mean when you go to a Foot Locker to buy your new pair of shoes? Can I come up with alternate sourcing decisions, so it's not just predicting. It's prescribing and recommending as well. So behind the scenes, bringing in a lot of the, generating a lot of the data, connecting a lot of these actors and then really deriving the smarts. That's what the self learning supply chain is all about. >> Are supply chains always international or can they be local as well? >> Definitely local as well. I think what we've seen over the last decades, it's kind of gotten more and more global, but a lot of the supply chain can really just be within the store as well. You'd be surprised at how often retailers do not know where their product is. Even is it in the front of the store? Is it in the back of the store? Is it in the fitting room? Even that local information is not really available. So to have sensors to discover where things are and to really provide that efficiency, which right now doesn't exist, is a key part of what we're doing. >> So Joe, as you look at companies out there to partner or potentially acquire, do you tend to see technologies that are very domain specific for retail or supply chain or do you see technologies that could bridge multiple different domains in terms of the experiences we could enjoy? >> Yeah, definitely. So both. A lot of infant technologies start out in very niched use cases, but then there are technologies that are pervasive across multiple geographies and multiple markets. So, smart cities is a good way to look at that. So let's level set really quick on smart cities and how we think about that. I have a little sheet here to help me. Alright, so, if anybody here played Sim City before, you have your little city that's a real world that sits here, okay? So this is reality and you have little buildings and cars and they all travel around and you have people walking around with cell phones. And what's happening is as we develop smart cities, we're putting sensors everywhere. We're putting them around utilities, energies, water. They're in our phones. We have cameras and we have audio sensors in our phones. We're placing these on light poles, which is existing sustaining power points around the city. So we have all these different sensors and they're not just cameras and microphones, but they're particulate sensors. They're able to do environmental monitoring and things like that. And so, what we have is we have this physical world with all these sensors here. And then what we have is we've created basically this virtual world that has a great memory because it has all the data from all the sensors and those sensors really act as ties, if you think of it like a quilt, trying a quilt together. You bring it down together and everywhere you have a stitch, you're stitching that virtual world on top of the physical world and that just enables incredible amounts of innovation and creation for developers, for entrepreneurs, to do whatever they want to do to create and solve specific problems. So what really makes that possible is communications, connectivity. So that's where 5G comes in. So with 5G it's not just a faster form of connectivity. It's new infrastructure. It's new communication. It includes multiple types of communication and connectivity. And what it allows it to do is all those little sensors can talk to each other again. So the camera on the light pole can talk to the vehicle driving by or the sensor on the light pole. And so you start to connect everything and that's really where artificial intelligence can now come in and sense what's going on. It can then reason, which is neat, to have computer or some sort of algorithm that actually reasons based on a situation that's happening real time. And it acts on that, but then you can iterate on that or you can adapt that in the future. So if we think of an actual use case, we'll think of a camera on a light post that observes an accident. Well it's programmed to automatically notify emergency services that there's been an accident. But it knows the difference between a fender bender and an actual major crash where we need to send an ambulance or maybe multiple firetrucks. And then you can create iterations and that learns to become more smart. Let's say there was a vehicle that was in the accident that had a little yellow placard on it that said hazard. You're going to want to send different types of emergency services out there. So you can iterate on what it actually does and that's a fantastic world to be in and that's where I see AI really playing. >> That's a great example of what it's all about in terms of making things smart, connective, and autonomous. So Michelle as somebody who has founded the company and the space with technology that's trying to bring some of these experiences to market, there may be folks in the audience who have aspirations to do the same. So what have you learned over the course of starting your company and developing the technology that you're now deploying to market? >> Yeah, I think because AI is such a buzz word. You can get a dot AI domain now, doesn't mean that you should use it for everything. Maybe 7, 10, 15 years ago... These trends have happened before. In the late 90s, it was technology and there was technology companies and they sat over here and there was everybody else. Well that not true anymore. Every company uses technology. Then fast forward a little bit, there was social media was a thing. Social media was these companies over here and then there was everybody else and now every company needs to use social media or actually maybe not. Maybe it's a really bad idea for you to spend a ton of money on social media and you have to make that choice for yourself. So the same thing is true with artificial intelligence and what I tell... I did a panel on AI for Adventure Capitalists last week, trying to help them figure out when to invest and how to evaluate and all that kind of stuff. And what I would tell other aspiring entrepreneurs is "AI is means to an end. "It's not an end in itself." So unless you're a PH.D in machine learning and you want to start an AI as a service business, you're probably not going to start an AI only company. You're going to start a company for a specific purpose, to solve a problem, and you're going to use AI as a means to an end, maybe, if it makes sense to get there, to make it more efficient and all that stuff. But if you wouldn't get up everyday for ten years to do this business that's going to solve whatever problem you're solving or if you wouldn't invest in it if AI didn't exist, then adding dot AI at the end of a domain is not going to work. So don't think that that will help you make a better business. >> That's great advice. Thank you. Surash, as you talked about the automation then of the supply chain, what about people? What about the workers whose jobs may be lost or displaced because of the introduction of this automation? What's your perspective on that? >> Well, that's a great question. It's one that I'm asked quite a bit. So if you think about the supply chain with a lot of the manufacturing plants, with a lot of the distribution centers, a lot of the transportation, not only are we talking about driverless cars as in cars that you and I own, but we're talking about driverless delivery vehicles. We're talking about drones and all of these on the surface appears like it's going to displace human beings. What humans used to do, now machines will do and potentially do better. So what are the implications around human beings. So I'm asked that question quite a bit, especially from our customers and my general perception on this is that I'm actually cautiously optimistic that human beings will continue to do things that are strategic. Human beings will continue to do things that are creative and human being will probably continue to do things that are truly catastrophic, that machines simply have not been able to learn because it doesn't happen very often. One thing that comes to mind is when ATM machines came about several years ago before my time, that displaced a lot of teller jobs in the banking industry, but the banking industry did not go belly up. They found other things to do. If anything, they offered more services. They were more branches that were closed and if I were to ask any of you now if you would go back and not have 24/7 access to cash, you would probably laugh at me. So the thing is, this is AI for good. I think these things might have temporary impact in terms of what it will do to labor and to human beings but I think we as human beings will find bigger, better, different things to do and that's just in the nature of the human journey. >> Yeah, there's definitely a social acceptance angle to this technology, right? Many of us technologists in the room, it's easier for us to understand what the technology is, how it works, how it was created, but for many of our friends and family, they don't. So there's a social acceptance angle to this. So Michelle as you see this technology deployed in retail environments, which is a space where almost every person in every country goes, how do you think about making it feel comfortable for people to interact with this kind of technology and not be afraid of the robots or the machines behind the curtain. >> Yeah, that's a great question. I think that user experience always has to come first, so if you're using AI for AI's sake or for the cool factor, the wow factor, you're already doing it wrong. Again, it needs to solve a problem and what I tend to tell people who are like, "Oh my God. AI sounds so scary. "We can't let this happen." I'm like, "It's already happening "and you're already liking it. "You just don't know "because it's invisible in a lot of ways." So if you can point of those scenarios where AI has already benefited you and it wasn't scary because it was a friendly kind of interaction, you might not even have realized it was there versus something that looks so different and... Like panic driving. I think that's why the driverless car thing is a big deal because you're so used to seeing, in America at least, someone on the left side of the car in the front seat. And not seeing that is like, woah, crazy. So I think that it starts with the experience and making it an acceptable kind of interface or format that doesn't give you that, "Oh my God. Something is wrong here," kind of feeling. >> Yeah, that's a great answer. In fact, it reminds me there was this really amazing study by a Professor Nicholas Eppily that was published in the journal of social psychology and the name of this study was called A Mind In A Machine. And what he did was he took subjects and had a fully functional automated vehicle and then a second identical fully functional automated vehicle, but this one had a name and it had a voice and it had sort of a personality. So it had human anthropomorphics characteristics. And he took people through these two different scenarios and in both scenarios he's evil and introduced a crash in the scenario where it was unavoidable. There was nothing going to happen. You were going to get into an accident in these cars. And then afterwards, he pulled the subjects and said, "Well, what did you feel about that accident? "First, what did you feel about the car?" They were more comfortable in the one that had anthropomorphic features. They felt it was safer and they'd be more willing to get into it, which is not terribly surprising, but the kicker was the accident. In the vehicle that had a voice and a name, they actually didn't blame the self-driving car they were in. They blamed the other car. But in the car that didn't have anthropomorphic features, they blamed the machine. They said there's something wrong with that car. So it's one of my favorite studies because I think it does illustrate that we have to remember the human element to these experiences and as artificial intelligence begins to replace humans, or some of us even, we need to remember that we are still social beings and how we interact with other things, whether they be human or non-human, is important. So, Joe, you talk about evaluating companies. Michelle started a company. She's gotten funding. As you go out and look at new companies that are starting up, there's just so much activity, companies that just add dot AI to the name as Michelle said, how do you cut through the noise and try to get to the heart of is there any value in a technology that a company's bringing or not? >> Definitely. Well, each company has it's unique, special sauce, right? And so, just to reiterate what Michelle was talking about, we look for companies that are really good at doing what they do best, whatever that may be, whatever that problem that they're solving that a customer's willing to pay for, we want to make sure that that company's doing that. No one wants a company that just has AI in the name. So we look for that number one and the other thing we do is once we establish that we have a need or we're looking at a company based on either talent or intellectual property, we'll go in and we'll have to do a vetting process and it takes a whole. It's a very long process and there's legal involved but at the end of the day, the most important thing for the start up to remember is to continue doing what they do best and continue to build upon their special sauce and make sure that it's very valuable to their customer. And if someone else wants to look at them for acquisition so be it, but you need to be meniacally focused on your own customer. That's my two cents. >> I'm thinking again about this concept of embedding human intelligence, but humans have biases right? And sometimes those biases aren't always good. So how do we as technologists in this industry try to create AI for good and not unintentionally put some of our own human biases into models that we train about what's socially acceptable or not? Anyone have any thoughts on that? >> I actually think that the hype about AI taking over and destroying humanity, it's possible and I don't want to disagree with Steven Hawking as he's way smarter than I am. But he kind of recognizes it could go both ways and so right now, we're in a world where we're still feeding the machine. And so, there's a bunch of different issues that came up with humans feeding the machine with their foibles of racism and hatred and bias and humans experience shame which causes them to lash out and what to put somebody else down. And so we saw that with Tay, the Microsoft chatbot. We saw that with even Google's fake news. They're like picking sources now to answer the question in the top box that might be the wrong source. Ads that Google serves often show men high paying jobs, $200,000 a year jobs, and women don't get those same ones. So if you trace that back, it's always coming back to the inputs and the lens that humans are coming at it from. So I actually think that we could be in a way better place after this singularity happens and the machines are smarter than us and they take over and they become our overlords. Because when we think about the future, it's a very common tendency for humans to fill in the blanks of what you don't know in the future with what's true today. And I was talking to you guys at lunch. We were talking about this harbored psychology professor who wrote a book and in the book he was talking about how 1950s, they were imagining the future and all these scifi stories and they have flying cars and hovercrafts and they're living in space, but the woman still stays at home and everyone's white. So they forgot to extrapolate the social things to paint the picture in, but I think when we're extrapolating into the future where the computers are our overlords, we're painting them with our current reality, which is where humans are kind of terrible (laughs). And maybe computers won't be and they'll actually create this Utopia for us. So it could be positive. >> That's a very positive view. >> Thanks. >> That's great. So do we have this all figured out? Are there any big challenges that remain in our industries? >> I want to add a little bit more to the learning because I'm a data scientist by training and a lot of times, I run into folks who think that everything's been figured out. Everything is done. This is so cool. We're good to go and one of the things that I share with them is something that I'm sure everyone here can relate to. So if a kindergartner goes to school and starts to spell profanity, that's not because the kid knows anything good or bad. That is what the kid has learned at home. Likewise, if we don't train machines well, it's training will in fact be biased to your point. So one of the things that we have to kep in mind when we talk about this is we have to be careful as well because we're the ones doing the training. It doesn't automatically know what is good or bad unless that set of data is also fed to it. So I just wanted to kind of add to your... >> Good. Thank you. So why don't we open it up a little bit for questions. Any questions in the audience for our panelists? There's one there looks like (laughs). Emily, we'll get to you soon. >> I had a question for Sarush based on what you just said about us training or you all training these models and teaching them things. So when you deploy these models to the public with them being machine learning and AI based, is it possible for us to retrain them and how do you build in redundancies for the public like throwing off your model and things like that? What are some of the considerations that go into that? >> Well, one thing for sure is training is continuous. So no system should be trained once, deployed, and then forgotten. So that is something that we as AI professionals need to absolutely, because... Trends change as well. What was optimal two years ago is no longer optimal. So that part needs to continue to happen and we're the where the whole IOT space is so important is it will continue to generate relevant consumable data that these machines can continuously learn. >> So how do you decide what data though, is good or bad, as you retrain and evolve that data over time? As a data scientist, how do you do selection on data? >> So, and I want to piggyback on what Michelle said because she's spot on. What is the problem that you're trying to solve? It always starts from there because we have folks who come in to CIOs, "Oh look. "When big data was hot, we started to collect "a lot of the data, but nothing has happened." But data by itself doesn't automatically do magic for you, so we ask, "What kind of problem are you trying to solve? "Are you trying to figure out "what kinds of products to sell? "Are you trying to figure out "the optimal assortment mix for you? "Are you trying to find the shortest path "in order to get to your stores?" And then the question is, "Do you now have the right data "to solve that problem?" A lot of times we put the science and I'm a data scientist by training. I would love to talk about the science, but really, it's the problem first. The data and the science, they come after. >> Thanks, good advice. Any other questions in the audience? Yes, one right up here. (laughing) >> Test, test. Can you hear me? >> Yep. >> So with AI machinery becoming more commonplace and becoming more accessible to developers and visionaries and thinkers alike rather than being just a giant warehouse of a ton of machines and you get one tiny machine learning, do you foresee more governance coming into play in terms of what AI is allowed to do and the decisions of what training data is allowed to be fed to Ais in terms of influence? You talk about data determining if AI will become good or bad, but humans being the ones responsible for the training in the first place, obviously, they can use that data to influence as they, just the governance and the influence. >> Jack: Who wants to take that one? >> I'll take a quick stab at it. So, yes, it's going to be an open discussion. It's going to have to take place, because really, they're just machines. It's machine learning. We teach it. We teach it what to do, how to act. It's just an extension of us and in fact, I think you had a really great conversation or a statement at lunch where you talked about your product being an extension of a designer because, and we can get into that a little bit, but really, it's just going to do what we tell it to do. So there's definitely going to have to be discussions about what type of data we feed. It's all going to be centered around the use case and what that solves the use case. But I imagine that that will be a topic of discussion for a long time about what we're going to decide to do. >> Jack: Michelle do you want to comment on this thought of taking a designer's brain and putting it into a model somehow? >> Well, actually, what I wanted to say was that I think that the regulation and the governance around it is going to be self imposed by the the developer and data science community first, because I feel like even experts who have been doing this for a long time don't rally have their arms fully around what we're dealing with here. And so to expect our senators, our congressmen, women, to actually make regulation around it is a lot, because they're not technologists by training. They have a lot of other stuff going on. If the community that's already doing the work doesn't quite know what we're dealing with, then how can we expect them to get there? So I feel like that's going to be a long way off, but I think that the people who touch and feel and deal with models and with data sets and stuff everyday are the kind of people who are going to get together and self-regulate for a while, if they're good hearted people. And we talk about AI for good. Some people are bad. Those people won't respect those convenance that we come up with, but I think that's the place we have to start. >> So really you're saying, I think, for data scientists and those of us working in this space, we have a social, ethical, or moral obligation to humanity to ensure that our work is used for good. >> Michelle: No pressure. (laughing) >> None taken. Any other questions? Anything else? >> I just wanted to talk about the second part of what she said. We've been working with a company that builds robots for the store, a store associate if you will. And one of their very interesting findings was that the greatest acceptance of it right now has been at car dealerships because when someone goes to the car dealer and we all have had terrible experiences doing that. That's why we try to buy it online, but just this perception that a robot would be unbiased, that it will give you the information without trying to push me one way or the other. >> The hard sell. >> So there's that perception side of it too that, it isn't that the governance part of your question, but more the biased perception side of what you said. I think it's fascinating how we're already trained to think that this is going to have an unbiased opinion, whether or not that true. >> That's fascinating. Very cool. Thank you Sarush. Any other questions in the audience? No, okay. Michelle, could I ask, you've got a station over there that talks a little bit more about your company, but for those that haven't seen it yet, could you tell us a little bit about what is the experience like or how is the shopping experience different for someone that's using your company's technology than what it was before? >> Oh, free advertising. I would love to. No, but actually, I started this company because as a consumer I found myself going back to the user experience piece, just constantly frustrated with the user experience of buying products one at a time and then getting zero help. And then here I am having to google how to wear a white blazer to not look like an idiot in the morning when I get dressed with my white blazer that I just bought and I was excited about. And it's a really simple thing, which is how do I use the product that I'm buying and that really simple thing has been just abysmally handled in the retail industry, because the only tool that the retailers have right now are manual. So in fashion, some of our fashion customers like John Varvatos is an example we have over there, it's like a designer for high-end men's clothing, and John Varvatos is a person, it's not just the name of the company. He's an actual person and he has a vision for what he wants his products to look like and the aesthetic and the style and there's a rockstar vibe and to get that information into the organization, he would share it verbally with PDFs, thing like that. And then his team of merchandisers would literally go manually and make outfits on one page and then go make an outfit on another page with the same exact items and then products would go out of stock and they'd go around in circles and that's a terrible, terrible job. So to the conversation earlier about people losing jobs because of artificial intelligence. I hope people do lose jobs and I hope they're the terrible jobs that no one wanted to do in the first place, because the merchandisers that we help, like the one form John Varvatos, literally said she was weeks away from quitting and she got a new boss and said, "If you don't ix this part of my job, I'm out of here." And he had heard about us. He knew about us and so he brought us in to solve that problem. So I don't think it's always a bad thing, because if we can take that route, boring, repetitive task off of human's plates, what more amazing things can we do with our brain that is only human and very unique to us and how much more can we advance ourselves and our society by giving the boring work to a robot or a machine. >> Well, that's fantastic. So Joe, when you talk about Smart Cities, it seems like people have been talking about Smart Cities for decades and often people cite funding issues, regulatory environment or a host of other reasons why these things haven't happened. Do you think we're on the cusp of breaking through there or what challenges still remain for fulfilling that vision of a smart city? >> I do, I do think we're on the cusp. I think a lot of it has to do, largely actually, with 5G and connectivity, the ability to process and send all this data that needs to be shared across the system. I also think that we're getting closer and more conscientious about security, which is a major issue with IOT, making sure that our in devices or our edge devices, those things out there sensing, are secure. And I think interocular ability is something that we need to champion as well and make sure that we basically work together to enable these systems. So very, very difficult to create little, tiny walled gardens of solutions in a smart city. You may corner a certain part of the market, but you're definitely not going to have that ubiquitous benefit to society if you establish those little walled gardens, so those are the areas I think we need to focus on and I think we are making serious progress in all of them. >> Very good. Michelle, you mentioned earlier that artificial intelligence was all around us in lots of places and things that we do on a daily basis, but we probably don't realize it. Could you share a couple examples? >> Yeah, so I think everything you do online for the most part, literally anything you might do, whether that's googling something or you go to some article, the ads might be dynamically picked for you using machine learning models that have decided what is appropriate based on you and your treasure trove of data that you have out there that you're giving up all the time and not really understanding you're giving up >> The shoes that follow you around the internet right? >> Yeah, exactly. So that's basically anything online. I'm trying to give in the real-world. I think that, to your point earlier about he supply chain, just picking a box of cereal off the shelf and taking it home, there's not artificial intelligence in that at all, but the supply chain behind it. So the supply chain behind pretty much everything we do even in television, like how media gets to us and get consumed. At some point in the supply chain, there's artificial intelligence playing in there as well. >> So to start us in the supply chain where we can get the same day even within the hour delivery. How do you get better than that? What's coming that's innovative in the supply chain that will be new in the future? >> Well, so that is one example of it, but you'd be surprised at how inefficient the supply chain is, even with all the advances that have already gone in, whether it's physical advances around building modern warehouses and modern manufacturing plants, whether it's through software and others that really help schedule things and optimize things. What has happened in the supply chain just given how they've evolved is they're very siloed, so a lot of times the manufacturing plant does things that the distribution folks do not know. The distribution folks do things that the transportation folks don't know and then the store folks know nothing other than when the trucks pulls up, that's the first time they find out about things. So where the great opportunity in my mind is, in the space that I'm in, is really the generation of data, the connection of data, and finally, deriving the smarts that really help us improve efficiency. There's huge opportunity there. And again, we don't know it because it's all invisible to us. >> Good. Let me pause and see if there's any questions in the audience. There, we got one there. >> Thank you. Hi guys, you alright? I just had a question about ethics and the teaching of ethics. As you were saying, we feed the artificial intelligence, whereas in a scenario which is probably a little bit more attuned to automated driving, in a car crash scenario between do we crash these two people or three people? I would be choosing two, whereas the scenario may be it's actually better to just crash the car and kill myself. That thought would never go through my mind, because I'm human. My rule number one is self preservation. So how do we teach the computer this sort of side of it? Is there actually the AI ethic going to be better than our own ethics? How do we start? >> Yeah, that's a great question. I think the opportunity is there as Michelle was talking earlier about maybe when you cross that chasm and you get this new singularity, maybe the AI ethics will be better than human ethics because the machine will be able to think about greater concerns perhaps other than ourselves. But I think just from my point of view, working in the space of automated vehicles, I think it is going to have to be something that the industry, and societies are different, different geographies, and different countries. We have different ways of looking at the world. Cultures value different things and so I think technologists in those spaces are going to have to get together and agree amongst the community from a social contract theory standpoint perhaps in a way that's going to be acceptable to everyone who lives in that environment. I don't think we can come up with a uniform model that would apply to all spaces, but it's got to be something though that we all, as members of a community, can accept. And so yeah, that would be the right thing to do in that situation and that's not going to be an easy task by any means, which is, I think, one of the reasons why you'll continue to see humans have an important role to play in automated vehicles so that the human could take over in exactly that kind of scenario, because the machines perhaps aren't quite smart enough to do it or maybe it's not the smarts or the processing capability. It's maybe that we haven't as technologists and ethicists gotten together long enough to figure out what are those moral and ethical frameworks that we could use to apply to those situations. Any other thoughts? >> Yeah, I wanted to jump in there real quick. Absolutely questions that need to be answered, but let's come together and make a solution that needs to have those questions answered. So let's come together first and fix the problems that need to be fixed now so that we can build out those types of scenarios. We can now put our brainpower to work to decide what to do next. There was a quote I believe by Andrew Ningh Bidou and he was saying in concerning deep questions about what's going to happen in the future with AI. Are we going to have AI overlords or anything like that? And it's kind of like worrying about overpopulation at the point of Mars. Because maybe we're going to get there someday and maybe we're going to send people there and maybe we're going to establish a human population on Mars and then maybe it will get too big and then maybe we'll have problems on Mars, but right now we haven't landed on the planet and I thought that really does a good job of putting in perspective that that overall concern about AI taking over. >> So when you think about AI being applied for good and Michelle you talked about don't do AI just for AI's sake, have a problem to solve, I'll open it up to any of the three of you, what's a problem in your life or in your work experience that you'd love somebody out here would go solve with AI? >> I have one. Sorry, I wanted to do this real quick. There's roads blocked off and it's raining and I have to walk a mile to find a taxi in the rain right now after this to go home. I would love for us to have some sort of ability to manage parking spaces and determine when and who can come in to which parts of the city and when there's a spot downtown, I want my autonomous vehicle to know which one's available and go directly to that spot and I want it to be cued in a certain manner to where I'm next in line and I know. And so I would love for someone to go solve that problem. There's been some development on the infrastructure side for that kind of solution. We have a partnership Intel does with GE and we're putting sensors that have, it's an IOT sensor basically. It's called City IQ. It has environmental monitoring, audio, visual sensors and it allows this type of use case to take place. So I would love to see iterations on that. I would love to see, sorry there's another one that I'm particular about. Growing up I lived in Southern California right against the hills, a housing development, because the hills and there was not a factory, but a bunch of oil derricks back there. I would love to have sensor that senses the particulate in the air to see if there was too many fumes coming from that oil field into my yard growing up as a little kid. I would love for us to solve problems like that, so that's the type of thing that we'll be able to solve. Those are the types of innovations that will be able to take place once we have these sensors in place, so I'm going to sit down on that one and let someone else take over. >> I'm really glad you said the second one because I was thinking, "What I'm about to say is totally going to "trivialize Joe's pain and I don't want to do that." But cancer is my answer, because there's so much data in health and all these patterns are there waiting to be recognized. There's so many things you don't know about cancer and so many indicators that we could capture if we just were able to unmask the data and take a look, but I knew a brilliant company that was using artificial intelligence specifically around image processing to look at CAT scans and figure out what the leading indicators might be in a cancerous scenario. And they pivoted to some way more trivial problem which is still a problem and not to trivialize parking an whatnot, but it's not cancer. And they pivoted away from this amazing opportunity because of the privacy and the issues with HIPPA around health data. And I understand there's a ton of concern with it getting into the wrong hands and hacking and all of this stuff. I get that, but the opportunity in my mind far outweighs the risk and the fact that they had to change their business model and change their company essentially broke my heart because they were really onto something. >> Yeah that's a shame and it's funny you mention that. Intel has an effort that we're calling the cancer cloud and what we're trying to do is provide some infrastructure to help with that problem and the way cancer treatments work today is if you go to a university hospital let's say here in Texas, how you interpret that scan and how you respond and apply treatment, that knowledge is basically just kept within that hospital and within that staff. And so on the other side of the country, somebody could go in and get a scan and maybe that scan brand new to that facility and so they don't know how to treat it, but if you had an opportunity with machine learning to be able to compare scans from people, not only just in this country, but around the world and understand globally, all of the hundreds of different treatment pads that were applied to that particular kind of cancer, think how many lives could be saved, because then you're sharing knowledge with what courses of treatment worked. But it's one of those things like you say, sometimes it's the regulatory environment or it's other factors that hold us back from applying this technology to do some really good things, so it's a great example. Okay, any other questions in the audience? >> I have one. >> Good Emily. >> So this goes off of the HIPPA question, which is, and you were talking about just dynamically displaying ads earlier. What does privacy look like in a fully autonomous world? Anybody can answer that one. Are we still private citizens? What does it look like? >> How about from a supply chain standpoint? You can learn a lot about somebody in terms of the products that they buy and I think to all of us, we sort of know maybe somebody's tracking what we're buying but it's still creepy when we think about how people could potentially use that against us. So, how do you from a supply chain standpoint approach that problem? >> Yeah and it's something that comes up in my life almost every day because one of the thing's we'd like to do is to understand consumer behavior. How often am I buying? What kinds of products am I buying? What am I returning? And so for that you need transactional data. You really get to understand the individual. That then starts to get into this area of privacy. Do you know too much about me? And so a lot of times what we do is data is clearly anonymized so all we know is customer A has this tendency, customer B has this tendency. And that then helps the retailers offer the right products to these customers, but to your point, there are those privacy concerns and I think issues around governance, issues around ethics, issues around privacy, these will continue to be ironed out. I don't think there's a solid answer for any of these just yet. >> And it's largely a reflection of society. How comfortable are we with how much privacy? Right now I believe we put the individual in control of as much information as possible that they are able to release or not. And so a lot of what you said, everyone's anonymizing everything at the moment, but that may change as society's values change slightly and we'll be able to adapt to what's necessary. >> Why don't we try to stump the panel. Anyone have any ideas on things in your life you'd like to be solved with AI for good? Any suggestions out there that we could then hear from our data scientist and technologist and folks here? Any ideas? No? Alright good. Alright, well, thank you everyone. Really appreciate your time. Thank you for joining Intel here at the AI lounge at Autonomous World. We hope you've enjoyed the panel and we wish you a great rest of your event here at South by Southwest. (audience clapping) (bright music)
SUMMARY :
and change the way that we live and work. So one of the things that I think is a common misconception. You said that the real revolution to show you different stuff. So you mentioned the supply chain. and so they had to be manufactured. and to really provide that efficiency, and that learns to become more smart. and the space with technology that's trying at the end of a domain is not going to work. of the supply chain, what about people? and that's just in the nature of the human journey. and not be afraid of the robots or format that doesn't give you that, and the name of this study was called A Mind In A Machine. And so, just to reiterate what Michelle was talking about, that we train about what's socially acceptable or not? and the machines are smarter than us So do we have this all figured out? So one of the things that we have to kep in mind Any questions in the audience for our panelists? and how do you build in redundancies for the public So that part needs to continue to happen so we ask, "What kind of problem are you trying to solve? Any other questions in the audience? Can you hear me? and the decisions of what training data is allowed So there's definitely going to have to be discussions So I feel like that's going to be a long way off, to humanity to ensure that our work is used for good. Michelle: No pressure. Any other questions? for the store, a store associate if you will. but more the biased perception side of what you said. Any other questions in the audience? and the aesthetic and the style and there's a rockstar vibe So Joe, when you talk about Smart Cities, and make sure that we basically work together in lots of places and things that we do on a daily basis, in that at all, but the supply chain behind it. So to start us in the supply chain where we can get that the transportation folks don't know There, we got one there. and the teaching of ethics. in that situation and that's not going to be that need to be fixed now so that in the air to see if there was too many fumes coming and so many indicators that we could capture and maybe that scan brand new to that facility and you were talking about of the products that they buy and I think to all of us, And so for that you need transactional data. that they are able to release or not. here at the AI lounge at Autonomous World.
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Michelle Bacharach, FINDMINE - SXSW 2017 - #IntelAI - #theCUBE
>> Narrator: Live from Austin, Texas, it's the Cube covering South by Southwest 2017. Brought to you by Intel. Now here's John Furrier. >> Welcome back everyone. We're live here at the AI Lounge with Intel, #intelai. This is the Cube, I'm John Furrier. Our next guest is Michelle Bacharach, who's the co-founder and CEO of FINDMINE. retail start up out of New York City, entrepreneur. Welcome to the Cube, thanks for joining us. >> Thank you, thanks for having me. >> So we're at Intel, Intel AI. Pretty packed here, isn't it? >> Yeah. >> Pretty crowded. >> I think it's the cover from the rain. >> Yeah, it's a little rainy here, yesterday was hot. You got a panel here later in the afternoon about AI and retail and convergence, but I want to ask you as an entrepreneur, what got you into starting this company? Was it an itch you were scratching, was it a vision, was it something that you felt compelled to do? Give us the story of FINDMINE. >> Yeah, it's actually a little embarrassing. It kind of sounds like the most selfish reason to start a business. It's because I had a problem I wanted to solve, but I think that's the best way to start a company, honestly, because it means you're going to be a passionate about it, you're going to be a user of your own, whatever you build, and for me, that challenge was I would buy, you know, like my silk bomber here with this big flower on it, and I'd be like yes, I love this, this is great, and I would get it home, but I wouldn't have tried it on with, you know, the pants and the shoes that go with it, so when I'd get it home, I'd be like uh oh, now I have to figure out how to put an outfit together around this to wear it and feel confident. I think a lot of women, especially, have this challenge where we feel pressure to be stylish, but not everyone has that kind of style gene where you can just see something like this and be like oh, I know five ways to wear that. So I struggled with that. I struggled with that when I would buy furniture, even when I would buy things like electronics, like I was really looking into buying a drone at one point. I was like oh, that sounds cool, I could fly a drone, I want to learn that. I found the drone model that I thought I wanted, but then it comes with all this stuff, right, all of these peripherals. They don't all plug in to the drone, so the research involved to figure out how to use one product in combination with another product was way too much work, and I figured someone should be automating that and help a consumer like me answer the question, how do I use this for any product that I might pick up on the shelf. >> And so that was the catalyst. Where is it now today, what's the status of FINDMINE? >> Uh yeah, that's a good question. >> John: Solving all the problems, did it? >> No, not yet, close. No, but, so you know, that was like seven years ago that I started noticing this problem in my personal life, then I researched and found that tons of other people have this problem, customers will buy 170% more if you show them how to use the product that they're buying, but I didn't have the tools to solve it. I have a product management background, but I wasn't a computer scientist, a data scientist to actually execute it, and so I'd met a friend, a friend of mine's husband is a computer scientist, and I sort of like, you know, suckered him in with like this one little project, and then he was like wow, this is really interesting. He cares nothing about fashion, by the way. Like he wears his Columbia sweatshirt and jeans like every single day, so he doesn't really feel the problem the way I do, but what he saw was this opportunity to use artificial intelligence and machine learning and technology to solve this really interesting problem of like, can we make a machine replicate what a human does, which is like figuring out what's stylish, and then that's what hooked him in and he thought the problem and the application of the technology was so cool. So that was, you know, in 2014 we started working on this. Since then, we've, you know, launched a product, we have customers on board. We work with fashion brands and retailers. We produce revenue, we raise money, we have a team now, we have a real office. We're not working out of our apartments anymore, so it's going well. >> So now you're in the middle of this AI world and if you think about the data your problem that you were originally solving actually applies to a lot of things, whether it's learning, healthcare, so it's kind of like the data drives more opportunity to collective intelligence. Is that kind of where this is going? Do you see that trend where it's the data and the algorithms, or the algorithms and the data? >> Yeah, I think that access to the data is the big factor, so in retail there's tons of data, right? Transaction data, product data, user data, all that kind of stuff, and a lot of it is very easily accessible. It's not all like private information, customer information, that you have to guard really closely. Obviously there's some of that because you're doing transactions, so it's credit card information, there's location data, you know gender, all that kind of stuff, but the product data is publicly available. So we didn't even have to have a customer live before we started doing cool stuff with machine learning, with large data sets because we would just go find products that were live on the internet and use that data. I think in different industries like healthcare it's a lot harder to come by the data and there's a lot more concerns around it. >> Michelle, what are some of the learnings that you've had, now if you look back from where you from where you were. What are some of the key learnings with the venture you're building, around what was surprising to you, what popped out as value? Was it the machine learning? I mean, what were some of the learnings you can share? >> I think in general, my best piece of advice for start ups is just don't die. And I say that a lot and people laugh, but it's so true. I've seen so many friends with startups that kind of had a moment where they were like okay, it's all falling apart, and they just, they said okay that's it. But if they had stayed around for like five more days, 10 more days, 50 more days, how their fortunes could have changed is incredible, and we've gone through that, I've seen other people go through that, so that's number one. And the number two is, like don't wait. Just do something. So I think for a long time we were sort of like waiting to get like the right data sets in the right order and like getting it all perfect first, and that's not the right way to approach it. Just go. >> So get a horse on the track and at least run the race, get something going. >> Michelle: Yeah, exactly. >> And don't run out of cash. As I always say, you can't go out of business when there's money in the bank. >> Michelle: Yup. >> So, okay, so now on the tech side. What has surprised you on some of the amazing things that are now starting to come into visibility for you, and what do you see as your vision? So what's kind of obvious and that you're going after, and what are some of the things that you see in your vision that others might not see? >> So what's really, what we're doing right now, and every startup needs focus, you can't do everything at once, but you need to have this bigger vision to make it, you know a billion dollar potential kind of exit company because that's what people want to invest in if you want to take venture capital, and not every startup needs to. You can self finance a business. But for me, this rapid growth was really important, and so I think what was really important was that we kind of like built something that could scale long term, so this broad vision of like every single product that you could pick up off the shelf as a consumer, you know exactly how to use it. For me, there is like a personal mission in that because I hate waste. I went to Berkeley, like we talked about before, so I have a little bit of that like hippie mentality, and I was buying all this stuff like in fast fashion, and it just sat in my closet and then I'd throw it out or I would never use it, and that made me really bummed. And the reason I was throwing it out was because I didn't know how to use it, and if I had just gotten that piece of information up front, then I probably would have been able to integrate it into my life, and I wouldn't have thrown it out. So doing it across all industries in retail. >> So really efficiency too is key on this? >> Yeah. >> You could actually accelerate that. >> Absolutely. >> So on the fashion side, is that where the focus is now on the retail side, or only still? >> Yes, so we're B2B, we sell to fashion retailers and brands. They use our technology and then they figure out where they want to get it into the consumer's hands, so it might be on the e-commerce page, it might be in the store, it might be in the associate's phone, so that you as a shopper don't even know that like a customer, or that the associate is like kind of cheating, right? They're looking at FINDMINE to find out what outfits to recommend. They might just be having an interaction with you like a human does, but they're using an assistive tool to get that efficiency that you mentioned before. >> So you have a panel coming up this afternoon. Without giving away all the content, what's the topic that you want to talk about? >> So the panel is artificial intelligence for good, and ours specifically is autonomous world, so it's about the automation that's kind of all around us and becoming more ubiquitous, and how artificial intelligence is making that possible. >> So I always get, I'm so amazed by autonomous vehicles because I think, you know, it's so obvious, mental models, we all have cars. >> Michelle: Yeah. >> Or you'd have been no transportation, but it's pretty radical when you think about the impact of autonomous vehicles, and this is a pretty amazing trend. I mean, smart cities is also mind blowing as well. You think about what's going to happen for the digital citizen. >> Yeah. >> Like what are those services? So there's some amazing potential but also work that has to get done. What's your thoughts on those two trends and the impacts, you know, 10, 20 years down? Will there be cars on the road in 25 years? >> Yeah, so actually on the panel coming up it's going to be myself, kind of from the retail perspective, there's going to be someone from the smart cities perspective, and someone from the autonomous vehicles perspective, and I'm kind of like what am I doing here? Like those trends are so much bigger and more like amazing and life changing than what we're doing, but I actually think that retail is so ubiquitous and like we're all, we all shop all the time, whether it's through Amazon, whether it's a physical store, and so it's a little bit more accessible, almost, whereas like the idea of having like a driverless car is harder for you to picture. >> Yeah. >> And one of the things that I'll be talking about probably a little bit later is how like you don't actually realize how much of this is going on around you all the time, whereas seeing a car on the street without a driver in the left hand side like drivers seat is like a shock, right? We're so not used to. >> John: Yeah, it's mind blowing. >> Used to that. >> Be it worry, let me ask the retail question because one of the things you're close to as a retail is that you're seeing a lot of the brick and mortar sites becoming destination oriented, not so much day to day shopping. E-commerce is obviously exploding, it's becoming what it is, and there's some tie in between digital and analog now, and a converging. What's the big takeaway? What's the state of the art right now in retail? Is that the vibe right now that it's a combination of destination based or is there something else going on? Can you share some color on what's happening in the retail world? >> Yeah, so everyone talks about like oh my god, like no one's going to shop in stores anymore. Well we're a long way away from that. Over 90% of all commerce is still done in a physical store. It's just that all the growth is in the e-commerce and that's why everyone talks about it is as like this huge disruption because it is, like all of the growth is in e-commerce, which is incredible, so at some point maybe it will completely take it over, but I personally don't feel like that's the case because we're humans, we crave social interaction, and part of shopping is that social interaction, that consultative nature of selling that I just don't, I hope won't be replaced completely by a screen. >> So you're having fun here at South by Southwest? A little bit of rain today, you got drenched as you were walking over here. What's this show like been for you? >> I got here this morning, came straight from the airport to one event and then went to another event with my suitcase like trying to get around, so the rain definitely put a damper on that, but I'm hoping it clears out. >> What do you think about the Intel AI booth here, AI lounge. What do you think, pretty impressive? >> Yeah, you actually can check out FINDMINE in that corner over there. We're on that wall, and it's a live, it's a live website. It's actually showing John Varvatos, which is one of our customers. They're a high end fashion brand for mens and we show the complete outfits, so you can go actually like shop right there, FINDMINE would get credit for that, and Intel has been an awesome partner to us and just really innovative, and I love Rainey Street. I think it's so cool, like these are all houses converted into bars converted into an Intel experience. It's very meta. >> Yeah, very meta, it's a meta of meta. Michelle Bacharach, thanks so much for spending this time in the Cube. We're here inside the Cube inside the AI lounge here with the Cube. I'm John Furrier. We'll be right back with more coverage from South by Southwest. (upbeat instrumental music)
SUMMARY :
Austin, Texas, it's the Cube This is the Cube, I'm John Furrier. So we're at Intel, Intel AI. that you felt compelled to do? and the shoes that go with it, And so that was the catalyst. and the application and the algorithms, or the customer information, that you have the learnings you can share? and that's not the right and at least run the race, As I always say, you and what do you see as your vision? and so I think what was really important so that you as a shopper Without giving away all the content, so it's about the because I think, you for the digital citizen. and the impacts, you and someone from the autonomous And one of the things Is that the vibe right now It's just that all the as you were walking over here. from the airport to one event the Intel AI booth here, AI lounge. so you can go actually the AI lounge here with the Cube.
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Ben Parr | SXSW 2017
>> Narrator: Live from Austin, Texas, it's The Cube covering South by Southwest 2017, brought to you by Intel. Now, here's John Furrier. >> Hey, welcome everyone back for day two of live coverage of South by Southwest. This is the cube, our flagship program from Silicon Angle. We go out to the events and extract the (mumbles). We're at the Intel AI Lounge, people are rolling in, it's an amazing vibe here, South by Southwest. The themes are AI, virtual reality, augmented reality, technology. They got great booths here, free beers, free drinks, and of course great sessions and great conversations here with the Cube. My first guest of the day here is Ben Parr, a friend of the Cube. He's been an entrepreneur, he's been a social media maven, he's been a journalist, all around great guy. Ben, thanks for joining us today. >> Thank you for having me again. >> So you're a veteran with South by Southwest, you know the social scene, you've seen the evolution from Web 2.0 all the way to today, had Scobel on yesterday, Brian Fanzo, really the vibe is all about that next level, of social to connecting and you got a startup you're working on that you founded, co-founded called AI? >> Ben: Octane AI. >> Octane AI, that's in the heart of this new social fabric that's developing. Where AI is starting to do stuff, keep learning, analytics but, ultimately, it's just a connection. Talk about your company. What is Octane AI? Tell us a little bit about the company. >> So Octane AI is a platform that lets you build an audience on Facebook Messenger and then through a bot. And so, what we do is allow you to create a presence on Messenger because if I told you there was a social app that had a billion users every month, bigger than Snapchat plus Twitter plus Instagram combined you'd want to figure out a strategy for how to engage with those people right? And that social app is Facebook Messenger. And yet no one ever thinks, oh could I build an audience on a messaging app? Could I build an audience on Messenger or WeChat or any of the others. But you can through a bot. And you can not just build an audience but you can create really engaging content through conversation. So what we've done is, we've made it really easy to make a bot on messenger but more importantly, a real reason for people to, actually, come to your bot and engage with it and make it really easy to create content for it. In the same way you create content for a blog or create content for YouTube Channel. Maroon 5, Aerosmith, KISS, Lindsay Lohan, 30 seconds to MARS, Jason Derulo and a whole bunch more use us to build an audience and engage their fans on Messenger. >> So let me get your thoughts on a couple of trends around this. Cause this is really kind of, to me, a key part that chat bots illustrate the big trends that are going on. Chat bots were the hype. People were talking about, oh chat bots. It's a good mental model for people to see AI but it also has been, kind of, I won't say a pest, if you will, for users. It's been like a notification. A notification of the economy we're living in. Now you're taking it to the next level. This is what we're seeing. The deep learnings and the analytics around turning notifications which can be noisy after a while, into real content and connections. >> Into something useful, absolutely. Like look, the last year of bots. The Facebook platform is not even a year old. We've been in that fart apps stage of bots. Remember the first year of mobile apps? You had the fart app and that made $50,000 a day and that was annoying as hell. We're at that stage now, the experimentation stage. And we've seen different companies going in different, really cool directions. Our direction is, how do you create compelling content so you're not spamming people but you have content that you can share, not just in your bot but as a link on your social media to your followers, to your fans, on Twitter, everywhere else and have a scalable conversation about whatever you want. Maroon 5 has conversations with their audience about their upcoming tours or they even released an exclusive preview of their new song, Cold, through our bots. You could do almost anything with our bots or with any bot. We're just learning right now, as an industry, what are the best practices. >> So where do bots go for the next level? Because you and I have known each other for almost over 10 years, we've seen the whole movement and now we're living in a fake news era. But social media is evolving where content now is super important that glues people together, communities together. In a way, you're taking AI or bots, if you will. Which is a first, I mean, .5 version of where AI is going. Where content, now, is being blended into notifications. How important is content in community? >> Content in community are essential to any product. And I feel like when you hear the word bot, you don't think community and that you could build a community with it because it's a bot, it's supposed to be automated. But you, actually, can if you do it in the right way and it can be a very, very powerful experience. We're building features that allow you to build more community in your bot and have people who are talking with your bot communicate with each other. There's a lot of that. What I feel like is, we're at the zero point one or zero point two of the long scale of AI. What we need to do right now is showcase all the use cases that really work for AI, bots, machine learning. Over time, we will be adding more other great technologies from Intel and others that will make all these technologies and everything we do better, more social and most of all, more personalized. I think that's one of the big benefits of AI. >> Do you see bot technology or what bots can turn into being embedded into things like autonomous vehicles, AR, is there a stack developing, if you will, around bots? What you're talking about is a progression of bots. What's your vision on where this goes down the road? >> I see a bunch of companies, now, building the technological stack for AI. I see a bunch of companies building the consumer interface, bots is one of those consumer interfaces. Not just chat bots but voice bots. And then I see another layer that's more enterprise that's helping make more efficient things like recruiting or all sorts of automation or driving. That are being built as well. But you need each of those stacks to work really well to make this all work. >> So are there bots here at South by Southwest? Is there a bot explosion, is there bots that tell you where the best parties are? What's the scene here at Southby? Where are the bots and if there were bots, what would they be doing to help people figure out what to do? >> The Southby bot is, actually, not a bad bot. They launched their bot just before South by Southwest. It has a good party recommendations and things. But it the standard bot. I feel like what we're seeing is the best use, there's a lot of good bot people. What I'm seeing right now is that people are still flushing out the best use cases for their bots. There's no bot yet that can predict all the parties you want to go to. We got to have our expectations set. That will happen but we're still a few years away from really deep AI bots. But there are clearly ones where you can communicate faster with your friends. There's clearly ones that help you connect with your favorite artist. There's clearly ones that help you build an audience and communicate at scale. And I feel like the next step is the usefulness. >> Talk about the user interface. Robert Scobel and I were talking yesterday, we have some guests coming on today that had user experience background. With AI, with virtual reality, with bots, with deep learning, all this collective intelligence going on, what's your vision of the user interface as it changes, as people's expectations? What are some of those things that you might see developing pretty quickly as deep learning, analytics, more data stats come online? What is the user interface? Cause bots will intersect with that as an assistant or a value add for the user. What's your vision on? >> I'll tell you what I see in the near term and then I'll tell you a really crazy idea of how I see the long term. In the near term, I think what you're going to see is bots have become more predictive. That, based on your conversations, are more personalized and maybe not a necessarily need as much input from you to be really intelligent. And so voice, text, standard interfaces that we're used to. I think the bigger, longer run is neurological. Is the ability to interface without having to speak. Is AI as a companion to help us in everything we do. I feel like, in 30 years, we won't even, it's, kind of like, do your remember the world when it had no internet? It's hard, it feels so much different. There will be a point in about 20 years we will not understand what the world was before AI. Before AI assistance where assisting us mentally, automatically and through every interface. And so good AI's, in the long run, don't just run on one bot or one thing, they follow you wherever you go. Right now it might be on your phone. When you get home, it may be on your home, it may be in your car but it should be the same sets of AI's that you use daily. >> Doctor Nevine Rou, yesterday, called the AI the bulldozer for data. What bulldozers where in the real world, AI's going to do that for data. Cause you want to service more data and make things more usable for users. >> Yes, the data really helps AI become more personalized and that's a really big benefit to the user to every individual. The more personalized the experience, the less you have to do. >> Alright, so what's the most amazing thing you've seen so far this year at Southby? What's going on out there that's pretty amazing? That's popping out of the wood work? In terms of either trend, content, product, demos, what are some of the cool things you're seeing. >> So, as it is only Saturday, I feel like the coolest thing will still come to me. But outside of AI, there have been some really cool mixed reality, augmented reality demos. I can't remember the name. There's a product with butterflies flying around me. All sorts of really breaking edge technologies that, really, create another new interface honestly where AI may interact with us through the augmented reality of our world. I mean, that's Robert Scogul's thing exactly. But there's a lot of really cool things that are being built on that front. I think those are the obvious, coolest ones. I'm curious to see which ones are going to be the big winners. >> Okay, so I want to ask you a personal question. So you were doing some venture investing around AI and some other things. What caused you to put that pause button on that mission to start the chat bot AI company? >> So I was an investor for a couple of years. I invested in ubean, the wireless electricity company and Shots with Justin Bieber which is always fun. And I love investing and I love working with companies. But I got into Silicone Valley and I got into startups because I wanted to build companies. I wanted to build ideas. This happened, in part, because of my co-founders. My co-founder Matt, who is the first head of product at Ustream and twice into the Forbes 30 under 30. One of the king makers of the bot industry. The opportunity to be a part of building the future of AI was irresistible to me. I needed to be a part of that. >> Okay, can you tell any stories about Justin Bieber for us, while we're here inside the Cube? (laughs) >> I wonder how many of those I can, actually, tell? Okay, so look. Justin Bieber is an investor in a company I'm an investor in called Shots. Which is now a super studio that represents everyone from Lele Pons to Mike Tyson on digital online and they're doing really, really well. One of Justin's best friends is the founder, John Shahidi. And so it's just really random. Sitting with John, who I invested in and just getting random FaceTime's. Be like, oh it's Justin Bieber, say hi to Justin. As if it was nothing. As if it was a normal, it's a normal day in his life. >> Could you just have him retweet one of my Tweets. He's got like a zillion followers. What's his follower count at now? >> You don't want that. He's done that to me before. When Justin retweets you or even John retweets you, thousands of not tens of thousands of Justin Bieber fans, bots and not bots, start messaging you, asking you to follow them, talking to you all the time. I still get the tweets all the time from all the Justin fans. >> Okay don't tweet me then. I'm nice and happy with 21,000 followers. Alright, so next level for you in terms of this venture. Obviously, they got some rock stars in there. What's the next step for you guys right now? Give us a little inside baseball in the venture status where you guys are at. What's the next step? >> We launched the company publicly in November, we started in May. We raised 1.6 million from general catalyst, from Sherpa Ventures, a couple of others. When we launched our new feature, Convos, which allows you to create shareable bots, shareable conversations with the way you share blog posts. And that came out with all those launch partners I mentioned before like Maroon 5. We're working on perfecting the experience and, mostly, trying to make a really, really compelling experience with the user with bots because if we can't do that, then there's no use to doing anything. >> So you provide the octane for the explosive conversations? (laughs) >> Yes, there you go, thank you, thank you. And we make it really easy. So we're just trying to make it easier to do this. This is a product that your mom could use, that an artist could use, any social media team could use. Writing a convo is like writing a blog post on media. >> Are moms really getting the chat bot scene? I, honestly, get the Hollywood. I'm going to go back to Hollywood in a second but being a general, middle America kind of tech/genre, what are they like? Are they grokking the whole bot thing? What's the feedback from middle America tech? >> But think of it this way. There are a billion people on Messenger and it's a, really, part of the question, they all use Facebook Messenger. And so, they may be communicating with a bot without knowing it. Or they might want to communicate with their fans. It's not about the technology as much as this is like connecting with who you really care about. If I really care about a Maroon 5 or Rachel Ray, I can now have that option. And it doesn't really matter what the technology is as much as it is that personal connection, that experience is good. >> John: Is it one-one-one or group? Cause it sounds like it's town hall, perfect for a town hall situation. >> It's one-on-one, it's scale. So you could have a conversation with a bot while each of the audience members is having a conversation one-on-one. When you can choose different options and it could be a different conversation for each person. >> Alright, so I got to ask about the Hollywood scene. You mentioned Justin Bieber. I wanted to go down that because Hollywood really has adopted social media pretty heavily because they can go direct to the audience. We're seeing that. Obviously, with the election, Trump was on Twitter. He bypasses all the press but Hollywood has done very well with social. How are they using the bots? They are a tell sign of where it's going. Can you share some antidotal stories or data around how Maroon 5, Justin, these guys are leveraging this and what's some of the impact? >> Sure, so about a month 1/2, 2 months before Maroon 5 launched their new song, new single, Cold. They came to us and wanted to build a distribution. They wanted to reach their audience in a more direct personal way. And so we helped them make a bot. It didn't take long. We helped them write convos. And so what they did was they wrote convos about things like exclusive behind the scenes photos from their recent tour or their top moments of 2016 or things that their fans really care about. And they shared em. They got a URL just like you would get, a blog poster URL. They shared it out with their 39 million Facebook fans, they shared it with their Twitter followers, they shared it across their social media. And 10's of thousand's of people started talking with their bot each time they did this. About 24 hours before the bot, before their new single release, they exclusively released a 10 second clip of Cold through their bot. And when they did that, within 24 hours, the size of their bot doubled because it went viral within the Maroon 5 community. There's a share function in our convos and people shared the convo with their friends and with their friends friends and it kept on spreading. We saw this viral graph happen. And the next day when they released the single, 1000's of people bought the song because of the bot alone. And now the bot is a core of their social strategy. They share a convo every single week and it's not just them but now Lohan and a whole bunch of others are doing the same thing. >> John: Lindsay Lohan. >> Lindsay Lohan is one of our most popular bots. Her fans are really dedicated. >> And so you can almost see it's, almost connecting with CGI, looking at what CGI's doing in film making. You could almost have a CGI component built-in. So it's all this stuff coming together. >> Ben: Multimedia matters. >> So what do you think about the Intel booth here? The AI experience? They got some Kinetic photo experience, amazing non-profit activities in deep loading (mumbles), missing children, what do you think? >> This is some of the best use cases for AI which is, people think of AI as just like the direct consumer interface which is what we do but AI is an underlying layer to everything we do. And if it can help even 1% or 1,000% identify and find missing children or increase the efficiency of our technology stacks so that we save energy. Or we figure out new ways to save energy. This is where AI can really make an impact. It is just a fundamental layer of everything. In the same way the internet is just a fundamental layer of everything. So I've seen some very cool things here. >> Alright, Ben Parr, great guest, in venture capitalist now founder of a great company Octane AI. High octane, explosive conversations looking forward to adopting. We're going to, definitely, take advantage of the chat bot and maybe we can get some back stage passes to Maroon 5. (laughs) >> (laughs) There will be some fun times in the future, I know it. >> Alright Ben Parr. >> Ben: Justin Bieber. >> Justin Bieber inside the Cube right here and Ben Parr. Thanks for watching. It's the Intel AI Lounge. A lot of great stuff. A lot of great people here. Thanks for joining us. Our next guest will be up after this short break. (lively music)
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covering South by Southwest 2017, brought to you by Intel. a friend of the Cube. and you got a startup you're working on Octane AI, that's in the heart In the same way you create content for a blog A notification of the economy we're living in. that you can share, not just in your bot Because you and I have known each other And I feel like when you hear the word bot, a stack developing, if you will, around bots? the consumer interface, bots is one And I feel like the next step is the usefulness. What is the user interface? the same sets of AI's that you use daily. called the AI the bulldozer for data. the less you have to do. the cool things you're seeing. I feel like the coolest thing Okay, so I want to ask you a personal question. One of the king makers of the bot industry. One of Justin's best friends is the founder, John Shahidi. Could you just have him retweet I still get the tweets all the time in the venture status where you guys are at. And that came out with all those This is a product that your mom could use, Are moms really getting the chat bot scene? and it's a, really, part of the question, John: Is it one-one-one or group? So you could have a conversation with a bot He bypasses all the press but Hollywood and people shared the convo with their friends Lindsay Lohan is one of our most popular bots. And so you can almost see it's, almost This is some of the best use cases for AI of the chat bot and maybe we can get in the future, I know it. It's the Intel AI Lounge.
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Dr. Dawn Nafus | SXSW 2017
>> Announcer: Live from Austin, Texas it's the Cube. Covering South by Southwest 2017. Brought to you by Intel. Now here's John Furrier. Okay we're back live here at the South by Southwest Intel AI Lounge, this is The Cube's special coverage of South by Southwest with Intel, #IntelAI where amazing starts with Intel. Our next guest is Dr. Dawn Nafus who's with Intel and you are a senior research scientist. Welcome to The Cube. >> Thank you. >> So you've got a panel coming up and you also have a book AI For Everything. And looking at a democratization of AI we had a quote yesterday that, "AI is the bulldozer for data." What bulldozers were in the real world, AI will be that bulldozer for data, surfacing new experiences. >> Right. >> This is the subject of your book, kind of. What's your take on this and what's your premise? >> Right well the book actually takes a step way back, it's actually called Self Tracking, the panel is AI For Everyone. But the book is on self tracking. And it's really about actually getting some meaning out of data before we start talking about bulldozers. So right now we've got this situation where there's a lot of talk about AI's going to sort of solve all of our problems in health and there's a lot that can get accomplished, whoops. But the fact of the matter is is that people are still struggling with gees, like, "What does my Fitbit actually mean, right?" So there's this, there's a real big gap. And I think probably part of what the industry has to do is not just sort of build new great technologies which we've got to do but also start to fill that gap in sort of data education, data literacy, all that sort of stuff. >> So we're kind of in this first generation of AI data you mentioned wearable, Fitbits. >> Dawn: Yup. >> So people are now getting used to this, so that it sounds this integration into lifestyle becomes kind of a dynamic. >> Yeah. >> Why are people grappling >> John: with this, what's your research say about that? >> Well right now with wearables frankly we're in the classic trough of disillusionment. (laughs) You know for those of you listening I don't know if you have sort of wearables in drawers right now, right? But a lot of people do. And it turns out that folks tend to use it, you know maybe about three or four weeks and either they've learned something really interesting and helpful or they haven't. And so there's actually a lot of people who do really interesting stuff to kind of combine it with symptoms tracking, location, right other sorts of things to actually really reveal the sorts of triggers for medical issues that you can't find in a clinical setting. It's all about being out in the real world and figuring out what's going on with you. Right, so then when we start to think about adding more complexity into that, which is the thing that AI's good at, we've got this problem of there's only so many data sets that AI's any actually any good at handling. And so I think there's going to have to be a moment where sort of people themselves actually start to say, "Okay you know what? "This is how I define my problem. "This is what I'm going to choose to keep track of." And some of that's going to be on a sensor and some of it isn't. Right and sort of being really intervening a little bit more strongly in what this stuff's actually doing. >> You mentioned the Fitbit and you were seeing a lot of disruption in the areas, innovation and disruption, same thing good and bad potentially. But I'll see autonomous vehicles is pretty clear, and knows what Tesla's tracking with their hot trend. But you mentioned Fitbit, that's a healthcare kind of thing. AIs might seem to be a perfect fit into healthcare because there's always alarms going off and all this data flying around. Is that a low hanging fruit for AI? Healthcare? >> Well I don't know if there's any such thing as low hanging fruit (John laughs) in this space. (laughs) But certainly if you're talking about like actual human benefit, right? That absolutely comes the top of the list. And we can see that in both formal healthcare in clinical settings and sort of imaging for diagnosis. Again I think there's areas to be cautious about, right? You know making sure that there's also an appropriate human check and there's also mechanisms for transparency, right? So that doctors, when there is a discrepancy between what the doctor believes and what the machine says you can actually go back and figure out what's actually going on. The other thing I'm particularly excited about is, and this is why I'm so interested in democratization is that health is not just about, you know, what goes on in clinical care. There are right now environmental health groups who are looking at slew of air quality data that they don't know what to do with, right? And a certain amount of machine assistance to sort of figure out you know signatures of sort of point source polluters, for example, is a really great use of AI. It's not going to make anybody any money anytime soon, but that's the kind of society that we want to live in right? >> You are the social good angle for sure, but I'd like to get your thoughts 'cause you mentioned democratization and it's kind of a nuance depending upon what you're looking at. Democratization with news and media is what you saw with social media now you got healthcare. So how do you define democratization in your context and you're excited about.? Is that more of freedom of information and data is it getting around gatekeepers and siloed stacks? I mean how do you look at democratization? >> All of the above. (laughs) (John laughs) I'd say there are two real elements to that. The first is making sure that you know, people are going to use this for more than just business, have the ability to actually do it and have access to the right sorts of infrastructures to, whether it's the environmental health case or there are actually artists now who use natural language processing to create art work. And people ask them, "Why are you using deblurting?" I said, "Well there's a real access issue frankly." It's also on the side of if you're not the person who's going to be directly using data a kind of a sense of, you know... Democratization to me means being able to ask questions of how the stuff's actually behaving. So that means building in mechanisms for transparency, building in mechanisms to allow journalists to do the work that they do. >> Sharing potentially? >> I'm sorry? >> And sharing as well more data? >> Very, very good. Right absolutely, I mean frankly we still have a problem right now in the wearable base of people even getting access to their own data. There's a guy I work with named Hugo Campos who has an arterial defibrillator and he's still fighting to get access to the very data that's coming out of his heart. Right? (laughs) >> Is it on SSD, in the cloud? I mean where is it? >> It is in the cloud. It's going back to the manufacturer. And there are very robust conversations about where it should be. >> That's super sad. So this brings up the whole thing that we've been talking about yesterday when we had a mini segment on The Cube is that there are all these new societal use cases that are just springing up that we've never seen before. Self-driving cars with transportation, healthcare access to data, all these things. What are some of the things that you see emerging on that tools or approaches that could help either scientists or practitioners or citizens deal with these new critical problem solving that needs to apply technology to. I was talking just last week at Stanford with folks that are looking at gender bias and algorithms. >> Right, uh-huh it's real. >> Something I would never have thought of that's an outlier. Like hey, what? >> Oh no, it's happened. >> But it's one of those things were okay, let's put that on the table. There's all this new stuff coming on the table. >> Yeah, yeah absolutely. >> What do you see? >> So they're-- >> How do we solve that >> John: what approaches? >> Yeah there are a couple of mechanisms and I would encourage listeners and folks in the audience to have a look at a really great report that just came out from the Obama Administration and NYU School of Law. It's called AI Now and they actually propose a couple of pathways to sort of making sure we get this right. So you know a couple of things. You know one is frankly making sure that women and people of color are in the room when the stuff's getting built, right? That helps. You know as I said earlier you know making sure that you know things will go awry. Like it just will we can't predict how these things are going to work and catching it after the fact and building in mechanisms to be able to do that really matter. So there was a great effort by ProPublica to look at a system that was predicting criminal recidivism. And what they did was they said, "Look you know "it is true that "the thing has the same failure rate "for both blacks and whites." But some hefty data journalism and data scraping and all the rest of it actually revealed that it was producing false positives for blacks and false negatives for whites. Meaning that black people were predicted to create more crime than white people right? So you know, we can catch that, right? And when we build in more system of people who had the skills to do it, then we can build stuff that we can live with. >> This is exactly to your point of democratization I think that fascinates me that I get so excited about. It's almost intoxicating when you think about it technically and also societal that there's all these new things that are emerging and the community has to work together. Because it's one of those things where there's no, there may be a board of governors out there. I mean who is the board of governors for this stuff? It really has to be community driven. >> Yeah, yeah. >> And NYU's got one, any other examples of communities that are out there that people can participate in or? >> Yup, absolutely. So I think that you know, they're certainly collaborating on projects that you actually care about and sort of asking good questions about, is this appropriate for AI or not, right? Is a great place to start of reaching out to people who have those technical skills. There are also the Engineering Professional Association actually just came out a couple months ago with a set of guidelines for developers to be able to... The kinds of things you have to think about if you're going to build an ethical AI system. So they came out with some very high level principles. Operationalizing those principles is going to be a real tough job and we're all going to have to pitch in. And I'm certainly involved in that. But yeah, there are actually systems of governance that are cohering, but it's early days. >> It's great way to get involved. So I got to ask you the personal question. In your efforts with the research and the book and all of your travels, what's some of the most amazing things that you've seen with AI that are out there that people may know about or may not know about that they should know about? >> Oh gosh. I'm going to reserve judgment, I don't know yet. I think we're too early on the curve to be able to talk about, you know, sort of the magic of it. What I can say is that there is real power when ordinary people who have no coding skills whatsoever and frankly don't even know what the heck machine learning is, get their heads around data that is collected about them personally. That opens up, you can teach five year olds statistical concepts that are learned in college with a wearable because the data applies to them. So they know how it's been collected. >> It's personal. >> Yeah they know what it is already. You don't have to tell them what a outlier effect is because they know because they wear that outlier. You know what I mean. >> They're immersed in the data. >> Absolutely and I think that's where the real social change is going to come from. >> I love immersion as a great way to teach kids. But the data's key. So I got to ask you with the big pillars of change going on and at Mobile World Congress I saw you, Intel in particular, talking about autonomous vehicles heavily, smart cities, media entertainment and the smart home. I'm just trying to get a peg a comparable of how big this shift will be. These will be, I mean the '60s revolution when chips started coming out, the PC revolution and server revolution and now we're kind of in this new wave. How big is it? I mean in order of magnitude, is it super huge with all of the other ships combined? Are we going to see radical >> I don't know. >> configuration changes? >> You know. You know I'm an anthropologist, right? (John laughs) You know everything changes and nothing changes at the same time, right? We're still going to wake up, we're still going to put on our shoes in the morning, right? We're still going to have a lot of the same values and social structures and all the rest of it that we've always had, right. So I don't think in terms of plonk, here's a bunch of technology now. Now that's a revolution. There's like a dialogue. And we are just at the very, very baby steps of having that dialogue. But when we do people in my field call it domestication, right? These become tame, they become part of our lives, we shape them and they shape us. And that's not radical change, that's the change we always have. >> That's evolution. So I got to ask you a question because I have four kids and I have this conversation with my wife and friends all the time because we have kids, digital natives are growing up. And we see a lot of also work place domestication, people kind of getting domesticated with the new technologies. What's your advice whether it's parents to their kids, kids to growing up in this world, whether it's education? How should people approach the technology that's coming at them so heavily? In the age of social media where all our voices are equal right now, getting more filters are coming out. It's pretty intense. >> Yeah, yeah. I think it's an occasion where people have to think a lot more deliberately than they ever have about the sources of information that they want exposure to. The kinds of interaction, the mechanisms that actual do and don't matter. And thinking very clearly about what's noise and what's not is a fine thing to do. (laughs) (John laughs) so yeah, probably the filtering mechanisms has to get a bit stronger. I would say too there's a whole set of practices, there are ways that you can scrutinize new devices for, you know, where the data goes. And often, kind of the higher bar companies will give you access back, right? So if you can't get your data out again, I would start asking questions. >> All right final two questions for you. What's your experiences like so far at South by Southwest? >> Yup. >> And where is the world going to take you next in terms of your research and your focus? >> Well this is my second year at South by Southwest. It's hugely fun, I am so pleased to see just a rip roaring crowd here at the Intel facility which is just amazing. I think this is our first time as in Dell proper. I'm having a really good time. The Self Tracking book is in the book shelf over in the convention center if you're interested. And what's next is we are going to get real about how to make, how to make these ethical principles actually work at an engineering level. >> Computer science meets social science, happening right now. >> Absolutely. >> Intel powering amazing here at South by Southwest. I'm John Furrier you're watching The Cube. We've got a great set of people here on The Cube. Also great AI Lounge experience, great demos, great technologists all about AI for social change with Dr. Dawn Nafus with Intel. We'll be right back with more coverage after this short break. (upbeat digital beats)
SUMMARY :
Brought to you by Intel. "AI is the bulldozer for data." This is the subject of your book, kind of. is that people are still struggling with gees, you mentioned wearable, Fitbits. so that it sounds this integration into lifestyle And so I think there's going to have to be a moment where You mentioned the Fitbit and you were seeing to sort of figure out you know signatures So how do you define democratization in your context have the ability to actually do it a problem right now in the wearable base of It's going back to the manufacturer. What are some of the things that you see emerging have thought of that's an outlier. let's put that on the table. had the skills to do it, and the community has to work together. So I think that you know, they're So I got to ask you the personal question. to be able to talk about, you know, You don't have to tell them what a outlier effect is is going to come from. So I got to ask you with the big pillars and social structures and all the rest of it So I got to ask you a question because kind of the higher bar companies will give you What's your experiences like so far It's hugely fun, I am so pleased to see happening right now. We'll be right back with more coverage
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Bryce Olsen | SXSW 2017
>> Announcer: Live from Austin Texas, it's theCUBE, covering South by Southwest 2017, brought to you by Intel. Now, here's John Furrier. >> Welcome back everyone, we are live at the Intel AI Lounge, end of the day, day one at South by Southwest, I'm John Furrier, this is theCUBE, our flagship programming brought to the events and extract a signal from the noise. What a day it is here, it's the packed venue, AI Lounge, with Intel, it's the hottest spot in South by Southwest, of course, where our theme is AI for social good, and our next guest is Bryce Olson with Intel, and your title officially is, global marketing director health and live services, but you are an amazing story, cancer survivor, but a fighter, you took it to technology to stop your cancer, and also, a composer with your friend, called FACTS, Fighting Advanced Cancer Through Song, the stories. Welcome to theCUBE! >> Thank you, it's great to be here, this is awesome, this is amazing environment that we're in today. But yeah, you're right, when you look at data, genomics data, which is looking at your DNA, and running that out and being able to understand what could potentially be fueling disease, that's the biggest of big data. And when I was working at Intel, I was in a non-healthcare oriented group, and then all of a sudden, I got hit with cancer, like very aggressive, advanced cancer. And I went through the whole standard of care, and I went through that one-size-fits-all spin that wheel of treatments and hopefully you get something kind of thing, nothing-- >> General purpose, chemotherapy, whatever, blah blah blah. >> Nothing worked. And I came to the point where I was start to come to terms with the fact that I may not see my daughter get through elementary school. So, cancer's starting to grow again, I go back to work, at this point, I only want to work in healthcare, because, why would I want to do anything else? I want to try to-- >> John: But you have terminal cancer at this point. >> I have terminal cancer at this point, but I'm not sick yet. You know, I went through all the chemo and all that crap, but I'm not sick yet. So, I asked to get into Intel's healthcare group, because I want to try to help healthcare providers make this digital transformation. They let me in, and what I found out kind of blew my mind. I learned about this new space of genomics and precision medicine. >> Well, it turns out, hold on for a second, you were telling me the story before, but you skipped a step, it turns out Intel has a lot of work going on, so you come into Intel, you're like, they open up the kimono-- >> Open up the kimono, and I learn about this new era called, just basically genomics, so what is genomics? Genomics, essentially, is a way to look at disease differently. Why can't we go in and find out what's fueling disease deep in the DNA? Because every disease is diagnosable by DNA, we just have never had the technology, and the science, combining together to get to that answer before. Now we do. So I found out that Intel is working with all these genomic sequencing companies to increase the throughput so you can actually take something that costs $2 billion dollars back in 2003, and took 10 years to do, get it down to $1,000 and do it in a day, right? So now, it democratizes sequencing, so we can look at what's fueling disease and get the data. Then I learned about Intel working with all these major bioinformatics open stores and commercial providers, the Broad Institute at MIT, Harvard, largest genomic sequencing place on the planet, about how they take that data and then analyze it, get to what is really fueling disease. And then I learn about the cool things we're doing with customers, which I could talk about, like actual hospitals. >> Well, let's hold on for a second on that, your shirt says Sequence Me, but this is really key for the audience out there listening and watching, is that, literally 10 years ago the costs were astronomical, no one could afford it. Big grants, philanthropy-funded R&D centers, now, literally, you had your genome sequenced for thousands of dollars. >> Well, so, and this is what happened, right? I learned about all this stuff that Intel's up to, and I get kind of upset. I get kind of pissed off, right? Because nobody's giving this to me. Nobody's sequencing my cancer, right? So I go back to the cancer center that I was working with, this is January 2015, turns out they were getting ready, they were perfecting their lab diagnostic test on this, it was like a perfect storm, they were ready, I wanted it, they gave it to me, turns out my cancer grows along this particular mutated pathway that we had no idea. >> So the data was, so in your DNA sequence step one, step two is you go in massive compute power, which is available, and you go look at it, and it turns out there's a nuance to your cancer that's identifiable! >> Yeah, a needle in that haystack, right? The signal in the noise, if you will, right? So there's a specific molecular abnormality, and in my case, there was a pathway that was out of control, and the reason why I say it was out of control is, the pathway was mutated, but then there's this tumor suppressor gene that's supposed to stop cancer, he's gone! So it's like a freeway of traffic-- >> So he's checked out, and all of a sudden, this is going wild, but this is cancer for everyone has their own version of this. >> Yes they do. >> So this is now a new opportunity. >> Yes! Now we understand what's fueling my unique cancer. We took data, we took technology and science, and we got to the point where we understand what's fueling my cancer. With that data, I find a clinical trial testing a new inhibitor of that pathway. >> So I just got to stop and just pause, because it's very emotional, and first of all, man, yours is an inspiration to me and everyone watching. I'm looking at some sign this year at the Intel AI booth, and it says, "Your amazing starts with Intel," this is truly an amazing story. >> Yeah, thank you. >> It's really beyond amazing, it's life saving! >> And that's what happened to me. >> This is now at the beginning, so take me through, in your mind, where is the progress bar on this, in the AI evolution, or when I say AI, I mean like machine learning, compute, end-to-end technology innovation. It's available, obviously, when is it going to be mainstream? >> Yeah, so, we're at a point right now where we can go in, if you have advanced cancer, we're at a point now where we can sequence that person's cancer and find out what's driving it, we can do that. But where it's going to get problematic is, look at my case. The mutated pathway hypersegmented by cancer, right, so prostate cancer, a common cancer, now became a rare cancer, because we hypersegmented it by DNA, and I went after a treatment that was targeted, so when my cancer starts to grow again, now I'm a rare cancer. So how are going to find people that are just like me out there in the world? >> So your point about rare being, there's no comparable data to look at benchmarking, so that's the challenge. >> Yeah, no given hospital will ever have enough data in this new molecular genomics-guided medicine world to solve my problem, because the doctors are going to want to look, and they're going to say, "Who out there looks just like Bryce "from a DNA perspective, uniquely? "What treatments were given to people like that, "and what were the outcomes?" The only way we're going to solve that is as all these centers and hospitals start amassing data, it has to work together, it has to collaborate in a way that preserves patient privacy, and also protects individual IP. >> Okay, so Bryce, let me ask you a question, if you could put a bumper sticker or a soundbite around what AI means to this evolution innovation around fighting cancer and using data and technology, what is the impact of AI to this? >> So, where I'm kind of going with this analogy is that without artificial intelligence to sift through my data, and all the other millions of potential cancer patients to start getting DNA data, humans can't do it, it's impossible, humans will not have the mental ability to sift through reams and reams of DNA data that exists for every patient out there to look at treatments and outcomes and synthesize it, we can't do it. The only way someone like me will survive into the long term will be through artificial intelligence. Without it, I will extend my life, but I won't turn cancer into a manageable disease without AI. >> So the AI will extend your life. >> Because AI is going to solve the problems that humans can't. When you have the biggest of big data-- >> Love that soundbite, love that, say that again! AI solves the problems that-- >> AI is going to solve the problems that humans can't, they simply, humans don't have the capability to look at the entire genome, and all this other genomic, molecular, proteomic, all this other data, we can't make sense of it! >> Alright, so let me throw something out at you, 'cause I agree 100%, but also, there's a humanization factor, 'cause now algorithms are also biased by humans, so what's your thoughts, given your experience, the role of the human race, actual human beings, that have a pulse, not robots or algorithms? >> Yeah, so let me give you a real practical example. So, the way that we fought my cancer was through a targeted therapy. Molecular abnormality, targeted drug. The other way that people are fighting cancer is through immunotherapy. Wake up the immune system to fight it. Guess what? Right now, there are 800 combination therapies going on with immunotherapy to try to stop people's cancer. How the heck are we going to know what is the right combination for each person out there? Unless we have like an algorithm marketplace where people are creating these, and taking in predictive biomarkers, prognostic biomarkers, looking at all the data, and then pushing a button to help an oncologist decide which of the 800 combos to use, we'll never get there. So-- >> That's awesome. So let me ask you a question, so for people watching that are younger, like my daughter, she's 16, my other daughter's a premed, she's a sophomore in college, they're like, school's like old, like, school's like linear, they get classes, but this younger generation are hungry for data, they're hungry, they want to, they're young, they're what people do, they disrupt, they're bomb throwers, they want to create value, and so their incentive to go after cancer, and the means are out there, cancer cells, we all have relatives who have died of cancer, it's a sucky situation. There's a motivated force out there of scientists, and young people. How do they get involved? How would you look at, based on your experience, and your experience, obviously, you got these songs here, but on a more practical level, what discovery, what navigation can someone take in their life to just get involved, not a catalog, not the courseware. >> I think, so there's a number of different things that can happen, if you look at the precision medicine landscape, and you start with a patient, patients don't understand this. "Genomic what? "Sequencing what?" They don't understand that there's a new way to fight cancer, so guess what's going to become a 20% per year growth rate job in the next 10 to 20 years? Genomics counselors. You don't have to be a doctor, but you have to be able to understand enough about biology-- >> And math. >> To be able to offload doctors, and have a discussion with patients to say, "Let me explain something to you. "There's a way to understand your disease, it's in DNA, "this is what it means," and then help them guide them into new clinical trials and other therapy that's got it by that, huge growth opportunity for kids. >> But also, it's compounded by the fact we just said earlier, where these become rare cases on paper, are also need to be aggregated into a database of some sort so you can understand the data, so there's also a data science angle here. >> Absolutely, and it's not just cancer, by the way, I mean, little kids in the NICU, pediatric ailments. Have you ever know anybody who's got a kid with a very rare neurodevelopmental disorder, and the parents are on a diagnostic odyssey for 10 years, they can't figure out what it is? So they go from specialist to specialist, specialist, $100,000 dollars later, guess what, the answer's in the DNA. >> DNA sequencing, number one. >> DNA sequencing, number one, and then, once you start sequencing that, you got to make sense of all this data, so there's going to be tons of jobs, not only in biology, but in analytics, to take all this data and start finding-- >> Alright, we got a few minutes left, I want to get a plugin for your little album here, it's called FACTS, Fighting Against Cancer Through Song. >> So here's the story on that. So, when you go through something that could be terminal, it's really nice when you can have something productive to channel that energy. So for me, to be able to channel feelings of sadness and frustration, I started writing songs. Music was therapeutic for me. I took that, started collaborating with a bunch of musicians throughout Portland, including cancer survivors, and we said, why don't we use music as a way to reach people about a new message of how to fight cancer? So we created that, I have an organization that is raising awareness for a new way to fight cancer, and raising funds, to bring sequencing to more people. >> So the URL is factsmovement.com, so factsmovements.com, check it out. Okay, now, I'm so impressed with you, one, you are on a terminal track, you go back to work. >> But I don't look like I'm terminal! >> You look great, you look great. Now, you're at Intel, Intel's got technology, you harness it, now, you're on a mission now, your passion, it's obvious, the songs, now, what's going on in Intel, 'cause now you're out doing the Intel thing, gives us the Intel update. >> I can talk to you about this precision medicine, it's personalizing diagnostic and treatment plan, which I've already done, I could talk to you about other things that we're doing to help hospitals transform. Predictive clinical analytics, let's look at something like rapid response teamed events. Have you ever been in the hospital and heard the alarms go off? That's usually somebody having a heart attack unexpected. Data is out there, if you look at all the data about people that have had rapid response teams events, we can create predictive signals to actually predict that an hour before it would happen! So predictive clinical analytics, and enabling hospitals to look at populations as a whole to treat them better in this new value-based care, is a technology-driven thing, so we're working on that as well. Yeah. >> Well Bryce, thanks for coming on to theCUBE, we appreciate it, really inspirational, great to meet you in person, and I'm looking forward to following up with you when you get back to Portland, we'll get our gang in Palo Alto to get you on the horn Skype in, and keep in touch, really inspirational, but more importantly, this is very relevant, and the technology's now surfacing to change, not only people's lives in the sense of saving them, but other great things. >> And I'm so proud to be able to work for a company that is using its brand and its technology to basically change people's lives, it's amazing. >> Bryce Olson, my hero here at South by Southwest, amazing story, really, really, you can choose to be a victim or you can choose to go after it, so excited to have met you, it's theCUBE, breaking it all down here at South by Southwest at Intel's AI Lounge, it's hopping, music tonight, music tomorrow night, CUBE tomorrow, panels, AI changing the future powered by Intel, #IntelAI, I'm John Furrier, you're watching theCUBE, thanks for watching, we'll see you tomorrow.
SUMMARY :
covering South by Southwest 2017, brought to you by Intel. and extract a signal from the noise. and running that out and being able to understand And I came to the point where I was start to come to terms So, I asked to get into Intel's healthcare group, to increase the throughput so you can actually now, literally, you had your genome sequenced So I go back to the cancer center that I was working with, this is going wild, but this is cancer So this is now and we got to the point where we understand So I just got to stop and just pause, This is now at the beginning, so take me through, So how are going to find people that are just like me there's no comparable data to look at benchmarking, because the doctors are going to want to look, to look at treatments and outcomes and synthesize it, Because AI is going to solve the problems and then pushing a button to help an oncologist decide and so their incentive to go after cancer, You don't have to be a doctor, but you have "Let me explain something to you. rare cases on paper, are also need to be aggregated Absolutely, and it's not just cancer, by the way, I want to get a plugin for your little album here, and raising funds, to bring sequencing to more people. So the URL is factsmovement.com, You look great, you look great. I can talk to you about this precision medicine, and I'm looking forward to following up with you And I'm so proud to be able to work so excited to have met you, it's theCUBE,
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Ali Vahabzadeh, Chariot - #IntelAi - #theCUBE
>> Narrator: Live from Austin, Texas, it's theCube. Covering South by Southwest 27 deeds, brought to you by Intel. Now, here's John Furrier. >> Okay, welcome back everyone. Live coverage of South by Southwest here in Austin, Texas. This is Silicon Angle's theCube, our flagship program. We're going to go out to the events and extract the signal from the noise. I'm John Furrier. Our next guest Ali Vahabaznet. >> Almost, Vahabzadeh. >> Vahazbadeh, Vahabzadeh, CEO of Chariot, a hot start up that was acquired by Ford Mobility Solutions last September. Really innovating in what I call the sharing economy which has been called, not I call, the sharing economy. But this really highlights the paradigm shift. So Ali, I want to thank you for coming on, I appreciate it. >> Thank you for having me, John. >> So Chariot is one of your cities not only in the Bay Area but here in Austin. Give a quick highlight of what's going on here in Austin for you guys and the freebie from the South by Southwest goers. >> Yes, Chariot is reinventing mass transit by crowdsourcing new routes in neighborhoods that either don't have the most commuter options or there's commuter options but there's not enough space on buses and trains. So we crowdsource these routes and we launch operations in these neighborhoods once we hit a tipping point and we get vehicles on the road. We started in San Francisco in 2014. We expanded to Austin, and then most recently in September we got acquired by Ford Smart Mobility to become a cornerstone of Ford's mobility strategy for many years to come. >> So this really highlights the sharing economy as I said, but what's going on is that the users interface to the real world is becoming digital. So obviously cars are not digital yet, they'll be self driving soon and Ford's announced mass production in five years. But it points to their relationship with others, collaboration. This is the big AI trend that gets surfaced in real-world benefits. >> Yeah, it's incredible. Everyone knows that Ford makes incredible cars, but Ford also wants to be a mobility company as well. With this thing that we have in our pockets, the phone, it provides a tremendous amount of data about us, commuters, riders, people who are trying to get from A to B. By harnessing that data for now it's given to us by the users themselves. By harnessing that data we can make some really intelligent and efficient choices about where our vehicles, in our example, 14-passenger Ford transit wagons, should be and could be to pick people up at the times where they need it the most. >> All right Ali, I want to kind of get you to riff on something with me. Imagine you're re-imagining the future, I love that. Or reinventing mass transit. So re-imagine some of the amazing things that are possible in your vision. Just kind of roll forward a few years. I mean we're going to have headsets and virtual reality and holograms that can bring my experience inside the vehicle. Not only am I just getting a ride somewhere, I mean in our area in Silicon Valley the Google buses and the company buses they've all gone wifi. They're working away. So I can imagine that you must have a vision for technology into your product. Can you share you vision on that? >> Yeah, imagine most people's commute is a twice-daily worst part of their day. We've moved the needle even without a lot of experimental things going on inside of Chariot. We've move it to, it's actually a decent part of your day and you don't have to worry about it anymore. What Chariot and Ford is looking forward to doing in the next couple of years is to actually make it, believe it or not, the best part of your day. You mentioned VR, entertainment options, social connecting options with other people in a Chariot who you may either want to network with professionally in the future or maybe even socially. Perhaps your next date is onboard. So there's so many things that you could be doing in that Chariot because we know your preferences. We know where you're commuting from and to. We know what you want to eat for dinner. We know where you want to go for happy hour on Thursday night and the Chariot's AI can actually be suggesting to you what Chariot to get on at what time and these folks are going to be onboard with you at that point. >> So you now I'm craving some Buffalo wings, so you just pull off the exit and I get some wings? Or bring out a Fitbit, or Johnny's going to take a bio break. I'm kind of being over the top, but this is what you're thinking, right? >> Perhaps you're on a diet and the device on your hand or the app, the diet app on your phone knows exactly what you had for breakfast and lunch. Perhaps the Chariot is headed in a certain neighborhood with a vegetarian option and you've had too much meat in the day. It could suggest to you hey, get off on this curb because there's a wonderful option here for you to have a non-protein meal. >> John: But that's in your future, you see that vision. >> It's in the future and it's not too distant from where we are right now. I mean what I think is cool between Chariot and Ford is Ford has these incredible resources. Also has vision with what they can do in the vehicle. Chariot, in a very short amount of time, in less than three years, we were able to penetrate a very attractive market of young professionals and actually have them tell us what they want to do, where they want to go from and where they want to go to. We're just scratching the surface right now. >> Tell me about your experiences here at South by Southwest. What's the vibe of the show? We've seen some touchpoints around. It's a VR show, it's some AI. Other things that you're observing that you could surface and say are the key top story lines that are developing on day one of South by Southwest? >> Yeah, you know it's my first South by Southwest, John. I was walking over here with a friend. I was remarking to her that I actually feel this is probably what world's fairs were like 100 years ago when people were discovering new technologies and companies like Ford were actually big participants in world's fairs. This feels like a 21st century world's fair. I'm just seeing such incredible installations and companies that I've never heard of before looking to make an impression on consumers or future users. Companies that don't even have a product, don't even have a service in reality right now and are just providing you a peak into their future. It's my first day here. I can't wait for the next few days. >> Well it's also a good mash up of creativity, industry, and just people, it's a melting pot of just kind of laid-back. It's Austin so it's pretty cool here. Easy living, as they say. >> Yeah, absolutely. There are people who are looking at what the future can hold. Also there are people who I can see in the look of their eyes what is my next start up going to be? Or where can I take my career next? Is it smart transportation like Chariot? Or it is something in VR or AI? Or something that doesn't even exist today? So it's great to see this collaboration. People also meeting each other who've never met each other before. Breaking plates and meeting new people for the first time. >> Okay, so personal question, last question to give you kind of on a personal note. Take your CEO of Chariot hat off at Ford Smart Mobility, put on your personal Ali hat. What are you most excited about? Not with the Chariot, but outside of Chariot as you look at the real world technically speaking. What are you most excited about? What's floating your boat, so to speak? Or driving your car or Chariot? >> Riding in a Chariot, you don't have to drive anymore. The first thing that comes to mind is I'm honored that I'm going to have dinner with a bunch of mayors this evening including Mayor Adler and several others. And I tell you what, when I started the company three years ago, no one would pick up our phone, regulators, city officials and the like. But now I think that the city and urban leaders whether it's Chamber of Commerce, the Mayor's Office, the Transit Authority, the Housing Authority, whatever the case may be, they really are open to not just innovations in transit, but innovations in housing, innovations working together, live-work. In a very short three years I've seen that sea change in the attitude. It's going to be, I think it's a dam that's opened up. I think you're only going to see this momentum accelerate with the civic authorities and innovators and technologists actually working together. >> It's a real impact. Final, final question since one popped in my head. What is AI going to do for your business, your industry, transportation and Chariot in general? What is AI's impact to your industry? I think AI's going to take cars off the street because we are going to know where people are coming from and going to at what probable hours. So we can run much more efficient routes and much more efficient networks. We'll run larger vehicles, larger format vehicles as opposed to single occupancy vehicles like you'll see on Rainey Street tonight. So that's gets me really excited because it doesn't only improve the human experience, it helps the environment and it's all good things. I can't think of a downside for AI in transportation. >> Well there might be some disruption in some transition. Let's just take one simple example. Parking lots, what are you going to turn them into? >> I can't wait to see parking lots converted into lower-income housing, into parks. >> Public easements. >> Into public easements, into more shared office workspace. >> The impact's bigger than people think. >> Just walk down Braswell Street or Congress Street. It seems like every other building is a parking garage. Or half of a building is now a parking garage. We have to stop building parking garages. We have to stop providing free parking both at home and at work so that we can force, transition people into the different formats of commuting. >> So all these jobs that are going away are now being shifted. Now again, idea for people out there watching just get in the business of retrofitting garages into housing, that's a new opportunity. >> That's my next start up, John, are you in? >> John: I'm in. >> Okay. >> Seed funding, this is theCube here live at South by Southwest at the Intel AI Lounge. I'm John Furrier, thanks for watching. More after this short break. (upbeat instrumental music)
SUMMARY :
brought to you by Intel. and extract the signal from the noise. So Ali, I want to thank you for coming on, in Austin for you guys and the freebie that either don't have the most commuter options But it points to their relationship with others, By harnessing that data for now it's given to us So I can imagine that you must have a vision and these folks are going to be onboard with you I'm kind of being over the top, It could suggest to you hey, get off on this curb It's in the future and it's not too distant and say are the key top story lines that are developing and are just providing you a peak into their future. just kind of laid-back. So it's great to see this collaboration. Okay, so personal question, last question to give you Riding in a Chariot, you don't have to drive anymore. and going to at what probable hours. Parking lots, what are you going to turn them into? I can't wait to see parking lots converted We have to stop building parking garages. just get in the business of retrofitting garages at South by Southwest at the Intel AI Lounge.
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Suresh Acharya, JDA Labs - #IntelAI - #theCUBE
>> Narrator: Live from Austin, Texas it's theCUBE covering South by Southwest 2017 brought to you by Intel. Now here's John Furrier. Welcome back everyone, we are here live inside theCUBE SiliconANGLE Media's flagship program. We go out to events, and extract the signal from the noise, I'm John Furrier, we're here in the Intel AI Lounge for South by Southwest special, three days of coverage, interviews all day, some interviews tomorrow and some super demos and panels with Intel's top AI staff and thought leaders and experts and management. My next guest is Suresh Acharya with JDA Software, I've got it right? Welcome to theCUBE. >> Thank you. >> We were chatting before we were coming on about the IOT in your world, but you had made a comment about you were walking around the convention center-- >> Suresh: Yeah. >> What's it like outside? What's the scene look like out there? >> Well, I mean first of all, it's really fun to be here for South to Southwest, of course, and just walking from the convention center here, there are a lot of places, but you guys have something going on here, long lines, it's just a very, you know, a ... There's a huge buzz if you will. Very exciting. >> People are partying here, they got free beer, free booze-- >> Suresh: It's great! >> If you're watching and you're here at South pie, you definitely want to be at the Intel AI Lounge, one it's cooler, all the cool kids are here-- >> Suresh: That's right. Talking AI which is onstage, it's an AI VR show. You've seen a lot of virtual reality, you've seen a lot of AI. >> Suresh: Uh, huh. >> This speaks to a new interface, a new interface from a virtual augmented reality, but also AI from a data centric world-- >> Suresh: Of course. Yes. >> Your thoughts, cuz this is what you're involved in. >> Sure, let me tell you a little bit more about what I do, just to set the context. JDA we work in the supply chain and those are manufacturing plants into transportation into warehouse into stores. Things that are-- >> Known businesses, known processes. >> Known exactly. But what is now changing dramatically is the fact that a lot of this is being digitized. And not only is data being generated, the smarts, that's where the AI comes in has really helped or will continue to help improve efficiencies. So in your question around what the role of hollow ends or whatever the VR capabilities could be and where the smarts come in, if you will, is what we're trying to do is how do these technologies, how do you use them in the store, how do you use them in the warehouse, so that dynamically you can use the smarts for better efficiency. So that's where the machine learning as well as the VR technology comes together. >> So Suresh talk about the dynamics between data science and math and software, because what's happening is it's a real intersection now of confluence of maths, math and science, data, that's really available, and software. >> Suresh: Yeah. >> This is the power trend. This is the big tailwinds to the marketplace. >> Sure, so I'm a data scientist by training, you know I've always done algorithmic work and I've always worked in an industry where my mathematical models make it into the software. It's just music to my ears that a lot of this is now really, really becoming very, very important. Data science is just a word, there's two pieces. There's a data piece. There's a science piece. We all get trained in school on the science, and what we're finding early on was that data sometimes simply wasn't there. >> John: Yeah. >> But now, there's a lot more data, there's a lot more clean data and you can do a lot more with it. So it's a great time to be in AI, machine learning, and just the broader space of the data side. >> Well databases are changing, you're making more unstructured data available-- >> Suresh: Yes. >> Addressable, okay let's get back to your example of manufacturing in supply chain because I was going to say, boring, but it's never boring, it's business. >> Suresh: Yeah. >> We have a world we live in, an analog world, but you mentioned digitizing. This is not trivial. So I want you to take me through in your opinion and working in the labs of JDA Software, what are the key things for digitizing businesses, because you've got to bolt on senors, you got to have actuators, you got to have all kinds of new potentially hardware-- >> Suresh: Yeah. >> You need more processors. But now you got to connect it to the network, that's the Internet of Things. How hard is it to digitize a business? >> Sure, so it is hard and so this is more of a journey than something that's going to happen over night. Let me walk you through a couple of use cases both upstream to the end, and then the other way around, just so that you see the value and how complex, but yet how much value one can add. As you know, there are production plants all over the world, so it's quite possible then that there's a vessel that's carrying your product from China to Long Beach, California. A lot of times currently there's no visibility around when that ship will ever make it to Long Beach. But with sensors, with real-time tracking of all these vessels, we're now able to say that rather than it arriving in Long Beach on the 22nd because of weather reasons, it's now going to arrive on the 25th instead. And how that then drives the downstream supply chain around when should the product make it to the distribution center, when will it make it to the store, and oh, by the way, I might need to make alternate plans now because I don't have the luxury to wait for the three day delay that I am incurring, what are my alternate sources. So that's upstream down to the store. We don't really see it when we go buy something at the store, the fact that this has had such a long journey upstream, is typically shielded from us. >> So it's a ripple effect. >> Ripple effect. >> So the old days was, hey where's my product? Oh, it's on a boat from China, so you didn't know where it's coming from and the guild expression-- >> Suresh: Exactly. >> Maybe it was China or not. >> Suresh: Right. >> But the point was that you had a delay in impact, a disruption-- >> That's right. >> Here you can say, okay contingency policy, software, trigger, hey it's here, get some supply from somewhere else, it could be produce or other goods. >> Suresh: Exactly. >> Am I getting it right? >> You're absolutely right. So that's the kind of upstream down to the consumer, but how about the consumer or the store upstream, right, so sometimes what happens is folks go to the store and then they start to get on social media to say these are awesome products, everyone's got to buy em, these things start to sell off the shelf, if you will, very, very rapidly. And now can you start to detect that social sentiment trend to start to realign your supply chain so that you avoid out of stock. Alternatively, you could have the rewards-- >> Or you could game it like they're doing now. Create scarcity, then make the retail market move. >> There's that as well. >> Supreme is doing it. My kids are buying these things, Supreme, these jackets and backpacks. >> Correct. You can gamify as well. On the other hand, what you can also do is what if you introduce a new product, which you're now finding out is not selling as well as you thought it would. You're not going to continue to push inventory there, you're going to be smart about where you now send those and potentially also manage the manufacturing upstream. >> So it's the classic effect of efficiency opportunities are every. >> Suresh: Exactly. >> Talk how about Intel, what do you think Intel's doing right? Because if you think about about what's powering all this, it's the chips. >> Suresh: Yep. >> It's not just the processor and the PC, it's software end-to-end solutions. >> Suresh: Yeah. >> I was just covering Mobile World Congress two weeks ago, and 5G is bringing potentially a gigabit, I mean not that you need a sensor on a boat or a machine to use a gigabit-- >> Suresh: Sure. >> But still it does create more bandwidth-- >> Suresh: Yeah. >> Cuz you got to connect to the network. (laughs) >> Suresh: Sure. Exactly. (laughs) >> Your data's got to go somewhere. >> So one of the pieces of work that we're doing with Intel is really at the store level to have sensors detect where an object is. You'd be surprised. People sometimes, not sometimes a lot of times what happens is retailers will say that they're out of stock, when it's still in the store, it's just that they don't know where it is. >> John: Yeah. >> To now have sensors to precisely detect whether it's in the back office, whether it's in a fitting room, whether it's somewhere else and really track that inventory real-time to then provide the visibility around inventory is huge. This is the holy grail. You and I may not realize it, but this is the holy grail for a lot of retailers. Because they simply do not know where their inventory is and the work that we're doing around sensors, you know connecting the devices and of course adding the smarts with AI, that's the value. >> I love to hear the word holy grail, great stuff. I want to ask you a question on a personal note. >> Suresh: Yeah. >> Someone who's in labs and you've been in the industry of data science with a math background in retail, in supply chain, you kind of see the big picture. What are the coolest things out there right now, for the folks watching, whether it's a young kid or someone in college or an executive or a developer. Can you highlight some things of the coolest things that people should pay attention to, and what is cool that people aren't paying attention to. >> Yeah, well I think I'm going to be biased when I say just the space of machine learning is actually exploding, but it is. So that's my own heritage as well. To me it's just fascinating to see how things that were very rudimentary have now really caught on. So the area of AI and machine learning has endless potential in my mind. Around a lot of the devices then that actually generate the data that then feeds into it, that space is exploding as well. One of the pieces of work-- >> John: You mean IoT data? >> IoT data. I'd like to give you a specific example of things that are now possible. We are doing research in the space of cognitive robotics. These are not robots that will help automate things or make things faster, these are robots in the stores that will actually interact with you, so they will actually talk to you. You can go up it and say, "Hey, I'm trying to find "these shoes and I can't find them." What it's going to tell you is it's going to bring that immense power of AI to tell you where the products are, it could be in that store and it's going to have someone go fetch it for you, or it's going to tell you, oh it's in another store five miles down the road, would you rather go there to pick it up or it can say I can have it be mailed to your house. So that's in terms of the cognitive robot understanding your emotions that you're angry trying to find something or you're a happy customer and being able to respond that way, but it's also continuously collecting data about you. That it's a male of a certain age group coming into the store at this time, coming out of aisle number 19 looking for this kind of product. This is all pieces of info ... So our goal is even when you're 10 feet away from the robot, it's going to know what questions you're going to ask. >> So robotics is really hot right now, >> Suresh: Right. >> Because this is the interactivity potential, not just a static machine. >> Suresh: Correct. This is more ... >> It's the whole experience. >> We had Dr. Naveen, on earlier, Rao, he said it's like the Jetsons, go clean my room, I mean we're getting there. >> Suresh: We are getting there. >> Almost there. >> We're almost getting there and so ... So the notion that users will use software in a two-dimensional screen manner that we're doing now, that's already changing. So to your point earlier on VR being submersing yourself into your supply chain, which we never have done-- >> John: Yeah. >> Is really where this is going. >> John: Got it. >> So-- >> Suresh, so final question, shoot the arrow forward five years, what does our future look like, what's going to change, what's it going to look like? >> Well, there's a lot of buzz around the autonomous self driving car. In my world it's really the autonomous self-learning supply chain. Think about it, it's going to detect things, it's going to know things, it's going to predict things so much better and also be able to prescribe things dynamically. There's a lot of inefficiencies built into the supply chain that will gradually over time get better and better. So a lot of folks that could be scary, just like driverless car to a lot of folks is scary, but if you really grasp the value of it, where we're going is tremendous in terms of operational efficiencies, in terms of smart, just making our everyday lives so much better. >> Alright Suresh Acharya inside theCUBE, we're here in the Intel AI Lounge, I'm John Furrier with SiliconANGLE Media. We're breaking it down here at South by Southwest where all the buzz is happening virtual reality, artificial intelligence, machine learning is the hottest reality trend right now. Software developers are booming, it's Suresh great, it's the holy grail! This is theCUBE here at the Intel AI Lounge. Back with more coverage after this short break. (upbeat music)
SUMMARY :
brought to you by Intel. There's a huge buzz if you will. Suresh: That's right. Suresh: Of course. just to set the context. is the fact that a lot of this is being digitized. So Suresh talk about the dynamics This is the big tailwinds to the marketplace. it into the software. and just the broader space of the data side. Addressable, okay let's get back to your example So I want you to take me through How hard is it to digitize a business? because I don't have the luxury to wait Here you can say, okay contingency policy, software, So that's the kind of upstream down to the consumer, Or you could game it like they're doing now. Supreme is doing it. On the other hand, what you can also do is So it's the classic effect of efficiency it's the chips. It's not just the processor and the PC, Cuz you got to connect to the network. (laughs) So one of the pieces of work that we're doing with Intel This is the holy grail. I love to hear the word holy grail, great stuff. for the folks watching, whether it's a young kid Around a lot of the devices then What it's going to tell you is it's going to bring Because this is the interactivity potential, This is more ... he said it's like the Jetsons, go clean my room, So the notion that users will use software There's a lot of inefficiencies built into the supply chain it's Suresh great, it's the holy grail!
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Alison Yu, Cloudera - SXSW 2017 - #IntelAI - #theCUBE
(electronic music) >> Announcer: Live from Austin, Texas, it's The Cube. Covering South By Southwest 2017. Brought to you by Intel. Now, here's John Furrier. >> Hey, welcome back, everyone, we're here live in Austin, Texas, for South By Southwest Cube coverage at the Intel AI Lounge, #IntelAI if you're watching, put it out on Twitter. I'm John Furrier of Silicon Angle for the Cube. Our next guest is Alison Yu who's with Cloudera. And in the news today, although they won't comment on it. It's great to see you, social media manager at Cloudera. >> Yes, it's nice to see you as well. >> Great to see you. So, Cloudera has a strategic relationship with Intel. You guys have a strategic investment, Intel, and you guys partner up, so it's well-known in the industry. But what's going on here is interesting, AI for social good is our theme. >> Alison: Yes. >> Cloudera has always been a pay-it-forward company. And I've known the founders, Mike Olson and Amr Awadallah. >> Really all about the community and paying it forward. So Alison, talk about what you guys are working on. Because you're involved in a panel, but also Cloudera Cares. And you guys have teamed up with Thorn, doing some interesting things. >> Alison: Yeah (laughing). >> Take it away! >> Sure, thanks. Thanks for the great intro. So I'll give you a little bit of a brief introduction to Cloudera Cares. Cloudera Cares was founded roughly about three years ago. It was really an employee-driven and -led effort. I kind of stepped into the role and ended up being a little bit more of the leader just by the way it worked out. So we've really gone from, going from, you know, we're just doing soup kitchens and everything else, to strategic partnerships, donating software, professional service hours, things along those lines. >> Which has been very exciting to see our nonprofit partnerships grow in that way. So it really went from almost grass-root efforts to an organized organization now. And we start stepping up our strategic partnerships about a year and a half ago. We started with DataKind, is our initial one. About two years ago, we initiated that. Then we a year ago, about in September, we finalized our donation of an enterprise data hub to Thorn, which if you're not aware of they're all about using technology and innovation to stop child-trafficking. So last year, around September or so, we announced the partnership and we donated professional service hours. And then in October, we went with them to Grace Hopper, which is obviously the largest Women in Tech Conference in North America. And we hosted a hackathon and we helped mentor women entering into the tech workforce, and trying to come up with some really cool innovative solutions for them to track and see what's going on with the dark web, so we had quite a few interesting ideas coming out of that. >> Okay, awesome. We had Frederico Gomez Suarez on, who was the technical advisor. >> Alison: Yeah. >> A Microsoft employee, but he's volunteering at Thorn, and this is interesting because this is not just donating to the soup kitchens and what not. >> Alison: Yeah. >> You're starting to see a community approach to philanthropy that's coding RENN. >> Yeah. >> Hackathons turning into community galvanizing communities, and actually taking it to the next level. >> Yeah. So, I think one of the things we realize is tech, while it's so great, we have actually introduced a lot of new problems. So, I don't know if everyone's aware, but in the '80s and '90s, child exploitation had almost completely died. They had almost resolved the issue. With the introduction of technology and the Internet, it opened up a lot more ways for people to go ahead and exploit children, arrange things, in the dark web. So we're trying to figure out a way to use technology to combat a problem that technology kind of created as well, but not only solving it, but rescuing people. >> It's a classic security problem, the surface area has increased for this kind of thing. But big data, which is where you guys were founded on in the cloud era that we live in. >> Alison: Yeah. >> Pun intended. (laughing) Using the machine learning now you start with some scale now involved. >> Yes, exactly, and that's what we're really hoping, so we're partnering with Intel in the National Center of Missing Exploited Children. We're actually kicking off a virtual hackathon tomorrow, and our hope is we can figure out some different innovative ways that AI can be applied to scraping data and finding children. A lot of times we'll see there's not a lot of clues, but for example, if we can upload, if there can be a tool that can upload three or four different angles of a child's face when they go missing, maybe what happens is someone posts a picture on Instagram or Twitter that has a geo tag and this kid is in the background. That would be an amazing way of using AI and machine learning-- >> Yeah. >> Alison: To find a child, right. >> Well, I'll give you guy a plug for Cloudera. And I'll reference Dr. Naveen Rao, who's the GM of Intel's AI group, was on earlier. And he was talking about how there's a lot of storage available, not a lot of compute. Now, Cloudera, you guys have really pioneered the data lake, data hub concept where storage is critical. >> Yeah. >> Now, you got this compute power and machine learning, that's kind of where it comes together. Did I get that right? >> Yeah, and I think it's great that with the partnership with Intel we're able to integrate our technology directly into the hardware, which makes it so much more efficient. You're able to compute massive amounts of data in a very short amount of time, and really come up with real results. And with this partnership, specifically with Thorn and NCMEC, we're seeing that it's real impact for thousands of people last year, I think. In the 2016 impact report, Thorn said they identified over 6,000 trafficking victims, of which over 2,000 were children. Right, so that tool that they use is actually built on Cloudera. So, it's great seeing our technology put into place. >> Yeah, that's awesome. I was talking to an Intel person the other day, they have 72 cores now on a processor, on the high-end Xeons. Let's get down to some other things that you're working on. What are you doing here at the show? Do you have things that you're doing? You have a panel? >> Yeah, so at the show, at South by Southwest, we're kicking off a virtual hackathon tomorrow at our Austin offices for South by Southwest. Everyone's welcome to come. I just did the liquor order, so yes, everyone please come. (laughing) >> You just came from Austin's office, you're just coming there. >> Yeah, exactly. So we've-- >> Unlimited Red Bull, pizza, food. (laughing) >> Well, we'll be doing lots and lots tomorrow, but we're kicking that off, we have representatives from Thorn, NCMEC, Google, Intel, all on site to answer questions. That's kind of our kickoff of this month-long virtual hackathon. You don't need to be in Austin to participate, but that is one of the things that we are kicking off. >> And then on Sunday, actually here at the Intel AI Lounge we're doing a panel on AI for Good, and using artificial intelligence to solve problems. >> And we'll be broadcasting that live here on The Cube. So, folks, SiliconAngle.tv will carry that. Alison, talk about the trend that, you weren't here when we were talking about how there's now a new counterculture developing in a good way around community and social change. How real is the trend that you're starting to see these hackathons evolve from what used to be recruiting sessions to people just jamming together to meet each other. Now, you're starting to see the next level of formation where people are organizing collectively-- >> Yeah. >> To impact real issues. >> Yeah. >> Is this a real trend or where is that trend, can you speak to that? >> Sure, so from what I've seen from the hackathons what we've been seeing before was it's very company-specific. Only one company wanted to do it, and they would kind of silo themselves, right? Now, we're kind of seeing this coming together of companies that are generally competitors, but they see a great social cause and they decide that they want to band together, regardless of their differences in technology, product, et cetera, for a common good. And, so. >> Like a Thorn. >> For Thorn, you'll see a lot of competitors, so you'll see Facebook and Twitter or Google and Amazon, right? >> John: Yeah. >> And we'll see all these different competitors come together, lend their workforce to us, and have them code for one great project. >> So, you see it as a real trend. >> I do see it as a trend. I saw Thorn last year did a great one with Facebook and on-site with Facebook. This year as we started to introduce this hackathon, we decided that we wanted to do a hackathon series versus just a one-off hackathon. So we're seeing people being able to share code, contribute, work on top of other code, right, and it's very much a sharing community, so we're very excited for that. >> All right, so I got to ask you what's they culture like at Cloudera these days, as you guys prepare to go public? What's the vibe internally of the company, obviously Mike Olson, the founder, is still around, Amr's around. You guys have been growing really fast. Got your new space. What's the vibe like in Cloudera now? >> Honestly, the culture at Cloudera hasn't really changed. So, when I joined three years ago we were much smaller than we are now. But I think one thing that we're really excited about is everyone's still so collaborative, and everyone makes sure to help one another out. So, I think our common goal is really more along the lines of we're one team, and let's put out the best product we can. >> Awesome. So, what's South by Southwest mean to you this year? If you had to kind of zoom out and say, okay. What's the theme? We heard Robert Scoble earlier say it's a VR theme. We hear at Intel it's AI. So, there's a plethora of different touchpoints here. What do you see? >> Yeah, so I actually went to the opening keynote this morning, which was great. There was an introduction, and then I don't know if you realized, but Cory Booker was on as well, which is great. >> John: Yep. >> But I think a lot of what we had seen was they called out on stage that artificial intelligence is something that will be a trend for the next year. And I think that's very exciting that Intel really hit the nail on the head with the AI Lounge, right? >> Cory Booker, I'm a big fan. He's from my neighborhood, went to the same school I went to, that my family. So in Northern Valley, Old Tappan. Cory, if you're watching, retweet us, hashtag #IntelAI. So AI's there. >> AI is definitely there. >> No doubt, it's on stage. >> Yes, but I think we're also seeing a very large, just community around how can we make our community better versus let's try to go in these different silos, and just be hyper-aware of what's only in front of us, right? So, we're seeing a lot more from the community as well, just being interested in things that are not immediately in front of us, the wider, either nation, global, et cetera. So, I think that's very exciting people are stepping out of just their own little bubbles, right? And looking and having more compassion for other people, and figuring out how they can give back. >> And, of course, open source at the center of all the innovation as always. (laughing) >> I would like to think so, right? >> It is! I would testify. Machine learning is just a great example, how that's now going up into the cloud. We started to see that really being part of all the apps coming out, which is great because you guys are in the big data business. >> Alison: Yeah. >> Okay, Alison, thanks so much for taking the time. Real quick plug for your panel on Sunday here. >> Yeah. >> What are you going to talk about? >> So we're going to be talking a lot about AI for good. We're really going to be talking about the NCMEC, Thorn, Google, Intel, Cloudera partnership. How we've been able to do that, and a lot of what we're going to also concentrate on is how the everyday tech worker can really get involved and give back and contribute. I think there is generally a misconception of if there's not a program at my company, how do I give back? >> John: Yeah. >> And I think Cloudera's a shining example of how a few employees can really enact a lot of change. We went from grassroots, just a few employees, to a global program pretty quickly, so. >> And it's organically grown, which is the formula for success versus some sort of structured company program (laughing). >> Exactly, so we definitely gone from soup kitchen to strategic partnerships, and being able to donate our own time, our engineers' times, and obviously our software, so. >> Thanks for taking the time to come on our Cube. It's getting crowded in here. It's rocking the house, the house is rocking here at the Intel AI Lounge. If you're watching, check out the hashtag #IntelAI or South by Southwest. I'm John Furrie. I'll be back with more after this short break. (electronic music)
SUMMARY :
Brought to you by Intel. And in the news today, although they won't comment on it. and you guys partner up, And I've known the founders, Mike Olson and Amr Awadallah. So Alison, talk about what you guys are working on. I kind of stepped into the role for them to track and see what's going on with the dark web, We had Frederico Gomez Suarez on, donating to the soup kitchens and what not. You're starting to see a community approach and actually taking it to the next level. but in the '80s and '90s, child exploitation in the cloud era that we live in. Using the machine learning now and our hope is we can figure out some different the data lake, data hub concept Now, you got this compute power and machine learning, into the hardware, which makes it so much more efficient. on the high-end Xeons. I just did the liquor order, so yes, everyone please come. You just came from Austin's office, So we've-- (laughing) but that is one of the things that we are kicking off. actually here at the Intel AI Lounge Alison, talk about the trend that, you weren't here and they would kind of silo themselves, right? and have them code for one great project. and on-site with Facebook. All right, so I got to ask you the best product we can. What's the theme? and then I don't know if you realized, that Intel really hit the nail on the head I went to, that my family. and just be hyper-aware of And, of course, open source at the center which is great because you guys are in the Okay, Alison, thanks so much for taking the time. and a lot of what we're going to also concentrate on is And I think Cloudera's a shining example of And it's organically grown, and being able to donate our own time, Thanks for taking the time to come on our Cube.
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