(upbeat music) >> Welcome back to theCUBE's coverage of Women in Data Science 2023 live from Stanford University. This is Lisa Martin. My co-host is Tracy Yuan. We're excited to be having great conversations all day but you know, 'cause you've been watching. We've been interviewing some very inspiring women and some men as well, talking about all of the amazing applications of data science. You're not going to want to miss this next conversation. Our guest is Gabriela de Queiroz, Principal Cloud Advocate Manager of Microsoft. Welcome, Gabriela. We're excited to have you. >> Thank you very much. I'm so excited to be talking to you. >> Yeah, you're on theCUBE. >> Yeah, finally. (Lisa laughing) Like a dream come true. (laughs) >> I know and we love that. We're so thrilled to have you. So you have a ton of experience in the data space. I was doing some research on you. You've worked in software, financial advertisement, health. Talk to us a little bit about you. What's your background in? >> So I was trained in statistics. So I'm a statistician and then I worked in epidemiology. I worked with air pollution and public health. So I was a researcher before moving into the industry. So as I was talking today, the weekly paths, it's exactly who I am. I went back and forth and back and forth and stopped and tried something else until I figured out that I want to do data science and that I want to do different things because with data science we can... The beauty of data science is that you can move across domains. So I worked in healthcare, financial, and then different technology companies. >> Well the nice thing, one of the exciting things that data science, that I geek out about and Tracy knows 'cause we've been talking about this all day, it's just all the different, to your point, diverse, pun intended, applications of data science. You know, this morning we were talking about, we had the VP of data science from Meta as a keynote. She came to theCUBE talking and really kind of explaining from a content perspective, from a monetization perspective, and of course so many people in the world are users of Facebook. It makes it tangible. But we also heard today conversations about the applications of data science in police violence, in climate change. We're in California, we're expecting a massive rainstorm and we don't know what to do when it rains or snows. But climate change is real. Everyone's talking about it, and there's data science at its foundation. That's one of the things that I love. But you also have a lot of experience building diverse teams. Talk a little bit about that. You've created some very sophisticated data science solutions. Talk about your recommendation to others to build diverse teams. What's in it for them? And maybe share some data science project or two that you really found inspirational. >> Yeah, absolutely. So I do love building teams. Every time I'm given the task of building teams, I feel the luckiest person in the world because you have the option to pick like different backgrounds and all the diverse set of like people that you can find. I don't think it's easy, like people say, yeah, it's very hard. You have to be intentional. You have to go from the very first part when you are writing the job description through the interview process. So you have to be very intentional in every step. And you have to think through when you are doing that. And I love, like my last team, we had like 10 people and we were so diverse. Like just talking about languages. We had like 15 languages inside a team. So how beautiful it is. Like all different backgrounds, like myself as a statistician, but we had people from engineering background, biology, languages, and so on. So it's, yeah, like every time thinking about building a team, if you wanted your team to be diverse, you need to be intentional. >> I'm so glad you brought up that intention point because that is the fundamental requirement really is to build it with intention. >> Exactly, and I love to hear like how there's different languages. So like I'm assuming, or like different backgrounds, I'm assuming everybody just zig zags their way into the team and now you're all women in data science and I think that's so precious. >> Exactly. And not only woman, right. >> Tracy: Not only woman, you're right. >> The team was diverse not only in terms of like gender, but like background, ethnicity, and spoken languages, and language that they use to program and backgrounds. Like as I mentioned, not everybody did the statistics in school or computer science. And it was like one of my best teams was when we had this combination also like things that I'm good at the other person is not as good and we have this knowledge sharing all the time. Every day I would feel like I'm learning something. In a small talk or if I was reviewing something, there was always something new because of like the richness of the diverse set of people that were in your team. >> Well what you've done is so impressive, because not only have you been intentional with it, but you sound like the hallmark of a great leader of someone who hires and builds teams to fill gaps. They don't have to know less than I do for me to be the leader. They have to have different skills, different areas of expertise. That is really, honestly Gabriela, that's the hallmark of a great leader. And that's not easy to come by. So tell me, who were some of your mentors and sponsors along the way that maybe influenced you in that direction? Or is that just who you are? >> That's a great question. And I joke that I want to be the role model that I never had, right. So growing up, I didn't have anyone that I could see other than my mom probably or my sister. But there was no one that I could see, I want to become that person one day. And once I was tracing my path, I started to see people looking at me and like, you inspire me so much, and I'm like, oh wow, this is amazing and I want to do do this over and over and over again. So I want to be that person to inspire others. And no matter, like I'll be like a VP, CEO, whoever, you know, I want to be, I want to keep inspiring people because that's so valuable. >> Lisa: Oh, that's huge. >> And I feel like when we grow professionally and then go to the next level, we sometimes we lose that, you know, thing that's essential. And I think also like, it's part of who I am as I was building and all my experiences as I was going through, I became what I mentioned is unique person that I think we all are unique somehow. >> You're a rockstar. Isn't she a rockstar? >> You dropping quotes out. >> I'm loving this. I'm like, I've inspired Gabriela. (Gabriela laughing) >> Oh my God. But yeah, 'cause we were asking our other guests about the same question, like, who are your role models? And then we're talking about how like it's very important for women to see that there is a representation, that there is someone they look up to and they want to be. And so that like, it motivates them to stay in this field and to start in this field to begin with. So yeah, I think like you are definitely filling a void and for all these women who dream to be in data science. And I think that's just amazing. >> And you're a founder too. In 2012, you founded R Ladies. Talk a little bit about that. This is present in more than 200 cities in 55 plus countries. Talk about R Ladies and maybe the catalyst to launch it. >> Yes, so you always start, so I'm from Brazil, I always talk about this because it's such, again, I grew up over there. So I was there my whole life and then I moved to here, Silicon Valley. And when I moved to San Francisco, like the doors opened. So many things happening in the city. That was back in 2012. Data science was exploding. And I found out something about Meetup.com, it's a website that you can join and go in all these events. And I was going to this event and I joke that it was kind of like going to the Disneyland, where you don't know if I should go that direction or the other direction. >> Yeah, yeah. >> And I was like, should I go and learn about data visualization? Should I go and learn about SQL or should I go and learn about Hadoop, right? So I would go every day to those meetups. And I was a student back then, so you know, the budget was very restricted as a student. So we don't have much to spend. And then they would serve dinner and you would learn for free. And then I got to a point where I was like, hey, they are doing all of this as a volunteer. Like they are running this meetup and events for free. And I felt like it's a cycle. I need to do something, right. I'm taking all this in. I'm having this huge opportunity to be here. I want to give back. So that's what how everything started. I was like, no, I have to think about something. I need to think about something that I can give back. And I was using R back then and I'm like how about I do something with R. I love R, I'm so passionate about R, what about if I create a community around R but not a regular community, because by going to this events, I felt that as a Latina and as a woman, I was always in the corner and I was not being able to participate and to, you know, be myself and to network and ask questions. I would be in the corner. So I said to myself, what about if I do something where everybody feel included, where everybody can participate, can share, can ask questions without judgment? So that's how R ladies all came together. >> That's awesome. >> Talk about intentions, like you have to, you had that go in mind, but yeah, I wanted to dive a little bit into R. So could you please talk more about where did the passion for R come from, and like how did the special connection between you and R the language, like born, how did that come from? >> It was not a love at first sight. >> No. >> Not at all. Not at all. Because that was back in Brazil. So all the documentation were in English, all the tutorials, only two. We had like very few tutorials. It was not like nowadays that we have so many tutorials and courses. There were like two tutorials, other documentation in English. So it's was hard for me like as someone that didn't know much English to go through the language and then to learn to program was not easy task. But then as I was going through the language and learning and reading books and finding the people behind the language, I don't know how I felt in love. And then when I came to to San Francisco, I saw some of like the main contributors who are speaking in person and I'm like, wow, they are like humans. I don't know, it was like, I have no idea why I had this love. But I think the the people and then the community was the thing that kept me with the R language. >> Yeah, the community factors is so important. And it's so, at WIDS it's so palpable. I mean I literally walk in the door, every WIDS I've done, I think I've been doing them for theCUBE since 2017. theCUBE has been here since the beginning in 2015 with our co-founders. But you walk in, you get this sense of belonging. And this sense of I can do anything, why not? Why not me? Look at her up there, and now look at you speaking in the technical talk today on theCUBE. So inspiring. One of the things that I always think is you can't be what you can't see. We need to be able to see more people that look like you and sound like you and like me and like you as well. And WIDS gives us that opportunity, which is fantastic, but it's also helping to move the needle, really. And I was looking at some of the Anitab.org stats just yesterday about 2022. And they're showing, you know, the percentage of females in technical roles has been hovering around 25% for a while. It's a little higher now. I think it's 27.6 according to any to Anitab. We're seeing more women hired in roles. But what are the challenges, and I would love to get your advice on this, for those that might be in this situation is attrition, women who are leaving roles. What would your advice be to a woman who might be trying to navigate family and work and career ladder to stay in that role and keep pushing forward? >> I'll go back to the community. If you don't have a community around you, it's so hard to navigate. >> That's a great point. >> You are lonely. There is no one that you can bounce ideas off, that you can share what you are feeling or like that you can learn as well. So sometimes you feel like you are the only person that is going through that problem or like, you maybe have a family or you are planning to have a family and you have to make a decision. But you've never seen anyone going through this. So when you have a community, you see people like you, right. So that's where we were saying about having different people and people like you so they can share as well. And you feel like, oh yeah, so they went through this, they succeed. I can also go through this and succeed. So I think the attrition problem is still big problem. And I'm sure will be worse now with everything that is happening in Tech with layoffs. >> Yes and the great resignation. >> Yeah. >> We are going back, you know, a few steps, like a lot of like advancements that we did. I feel like we are going back unfortunately, but I always tell this, make sure that you have a community. Make sure that you have a mentor. Make sure that you have someone or some people, not only one mentor, different mentors, that can support you through this trajectory. Because it's not easy. But there are a lot of us out there. >> There really are. And that's a great point. I love everything about the community. It's all about that network effect and feeling like you belong- >> That's all WIDS is about. >> Yeah. >> Yes. Absolutely. >> Like coming over here, it's like seeing the old friends again. It's like I'm so glad that I'm coming because I'm all my old friends that I only see like maybe once a year. >> Tracy: Reunion. >> Yeah, exactly. And I feel like that our tank get, you know- >> Lisa: Replenished. >> Exactly. For the rest of the year. >> Yes. >> Oh, that's precious. >> I love that. >> I agree with that. I think one of the things that when I say, you know, you can't see, I think, well, how many females in technology would I be able to recognize? And of course you can be female technology working in the healthcare sector or working in finance or manufacturing, but, you know, we need to be able to have more that we can see and identify. And one of the things that I recently found out, I was telling Tracy this earlier that I geeked out about was finding out that the CTO of Open AI, ChatGPT, is a female. I'm like, (gasps) why aren't we talking about this more? She was profiled on Fast Company. I've seen a few pieces on her, Mira Murati. But we're hearing so much about ChatJTP being... ChatGPT, I always get that wrong, about being like, likening it to the launch of the iPhone, which revolutionized mobile and connectivity. And here we have a female in the technical role. Let's put her on a pedestal because that is hugely inspiring. >> Exactly, like let's bring everybody to the front. >> Yes. >> Right. >> And let's have them talk to us because like, you didn't know. I didn't know probably about this, right. You didn't know. Like, we don't know about this. It's kind of like we are hidden. We need to give them the spotlight. Every woman to give the spotlight, so they can keep aspiring the new generation. >> Or Susan Wojcicki who ran, how long does she run YouTube? All the YouTube influencers that probably have no idea who are influential for whatever they're doing on YouTube in different social platforms that don't realize, do you realize there was a female behind the helm that for a long time that turned it into what it is today? That's outstanding. Why aren't we talking about this more? >> How about Megan Smith, was the first CTO on the Obama administration. >> That's right. I knew it had to do with Obama. Couldn't remember. Yes. Let's let's find more pedestals. But organizations like WIDS, your involvement as a speaker, showing more people you can be this because you can see it, >> Yeah, exactly. is the right direction that will help hopefully bring us back to some of the pre-pandemic levels, and keep moving forward because there's so much potential with data science that can impact everyone's lives. I always think, you know, we have this expectation that we have our mobile phone and we can get whatever we want wherever we are in the world and whatever time of day it is. And that's all data driven. The regular average person that's not in tech thinks about data as a, well I'm paying for it. What's all these data charges? But it's powering the world. It's powering those experiences that we all want as consumers or in our business lives or we expect to be able to do a transaction, whether it's something in a CRM system or an Uber transaction like that, and have the app respond, maybe even know me a little bit better than I know myself. And that's all data. So I think we're just at the precipice of the massive impact that data science will make in our lives. And luckily we have leaders like you who can help navigate us along this path. >> Thank you. >> What advice for, last question for you is advice for those in the audience who might be nervous or maybe lack a little bit of confidence to go I really like data science, or I really like engineering, but I don't see a lot of me out there. What would you say to them? >> Especially for people who are from like a non-linear track where like going onto that track. >> Yeah, I would say keep going. Keep going. I don't think it's easy. It's not easy. But keep going because the more you go the more, again, you advance and there are opportunities out there. Sometimes it takes a little bit, but just keep going. Keep going and following your dreams, that you get there, right. So again, data science, such a broad field that doesn't require you to come from a specific background. And I think the beauty of data science exactly is this is like the combination, the most successful data science teams are the teams that have all these different backgrounds. So if you think that we as data scientists, we started programming when we were nine, that's not true, right. You can be 30, 40, shifting careers, starting to program right now. It doesn't matter. Like you get there no matter how old you are. And no matter what's your background. >> There's no limit. >> There was no limits. >> I love that, Gabriela, >> Thank so much. for inspiring. I know you inspired me. I'm pretty sure you probably inspired Tracy with your story. And sometimes like what you just said, you have to be your own mentor and that's okay. Because eventually you're going to turn into a mentor for many, many others and sounds like you're already paving that path and we so appreciate it. You are now officially a CUBE alumni. >> Yes. Thank you. >> Yay. We've loved having you. Thank you so much for your time. >> Thank you. Thank you. >> For our guest and for Tracy's Yuan, this is Lisa Martin. We are live at WIDS 23, the eighth annual Women in Data Science Conference at Stanford. Stick around. Our next guest joins us in just a few minutes. (upbeat music)

(bright upbeat music) >> Hello, welcome to this CUBE Unstoppable Domain Showcase. I'm John Furrier, host of theCUBE. We've been showcasing all the great content about Web3 and what's going around the corner for Web4. Of course, Unstoppable Domains is one of the big growth stories in the business. Brad Kam, the Co-founder is here with me, of Unstoppable Domains, Brad, great to see you, thanks for coming on this showcase. >> Thanks, pleasure for having me. >> So you have a lot of history in the Web3. They're calling it now, but it's basically crypto and blockchain. You know, the white paper came out and then, you know how it developed was organically. We saw how that happened. Now you're the co-founder of Unstoppable Domains. You're seeing the mainstream, I would say mainstream scene, Superbowl commercials, okay? You're seeing it everywhere. So it is here. Stadiums are named after cryptos, companies. It's here. Hey, it's no longer a fringe, it is reality. You guys are in the middle of it. What's going on with the trend, and where does Unstoppable fit in and where do you guys tie in here? >> I mean, I think that what's been happening in general, this whole revolution around cryptocurrencies and then NFTs and what Unstoppable Domain is doing. It's all around creating this idea that people can own something that's digital. And this hasn't really been possible before Bitcoin. Bitcoin was the first case. You could own money. You don't need a bank, no one else. You know, you can completely control it. No one else can turn you off. Then there was this next phase of the revolution, which is, assets beyond just currencies. So NFTs, digital art. What we're working on is like a decentralized identity, like a username for Web3 and each individual domain name is an NFT. But yeah, it's been a crazy ride over the past 10 years. >> It's fun because, you know, on siliconangle.com, which we founded, we were covering early days of crypto. In fact, our first website, the developer want to be paid in crypto. It's interesting. Price of Bitcoin, I won't say that how low it was. But then you saw the ICO Wave, the token started coming in. You started seeing much more engineering focus, a lot of white papers coming out, a lot of cool ideas. And then now you got this mainstream of this. So I got to ask you, what are the coolest things you guys are working on, because Unstoppable has a solution that solves a problem today, and that people are facing at the same time, it is part of this new architecture. What problem do you guys solve right now that's in market that you're seeing the most traction on? >> Yeah, so it's really about, so whenever you interact with a blockchain, you wind up having to deal with one of these really, really crazy public keys, public addresses. And they're like anywhere from 20 to 40 characters long, they're random, they're impossible to memorize. And going back to even early days in crypto, I think people knew that this tech was not going to go mainstream if you have to copy and paste these things around. If I'm getting ready to send you like a million dollars, I'm going to copy and paste some random string of numbers and letters. I'm going to have no confirmations about who I'm sending it to, and I'm going to hope that it works out. It's just not practical. People have kind of always known there was going to be a solution. And one of the more popular ideas was, doing kind of like what DNS did, which is, instead of having to deal with these crazy IP addresses, this long random string of numbers to find a website, you have a name like a keyword, something that's easy to remember. You know, like a hotels.com or something like that. And so what NFT domains are, is basically the same thing, but for blockchain addresses. And yeah, it's just better and easier. There's this joke that everybody, you know, if you want to send me money, you're going to send me a test transaction of, you know, like a dollar first, just to make sure that I get it. Call me up and make sure that I get it before you go and send the big amount. Just not the way of moving billions of dollars of value is going to work in the future. >> Yeah, and I think one of the things you just point out, make it easier. When you have these new waves, these shifts, we saw it with the web pages. More and more web pages were coming on, more online users. They called it the online populations growing. Here, the same thing's happening. And if the focus is on ease of use, making things simpler to understand, and reducing the step it takes to do things, right? This is kind of what's going on and with the developer community, and what Ethereum has done really well is, brought in the developers. So that's the convergence of all the action. And so, when you (John chuckles) so that's where you're at right now. How do you go forward from here? Obviously, there's business development deals to do, you guys are partnering a lot. What's the strategy? What are some of the things that you can share about some of your business activity that points to how mainstream it is and where it's going? >> So I think the way to think about an NFT domain name is that it's meant to be like your identity on Web3. So, it's going to have a lot of different context. So it's kind of like your Venmo account, where you could send me money to brad.crypto, can be your decentralized website, where you can check out my content at brad.crypto. It can also be my like login kind of like a decentralized Facebook O oth, where I can log into DApps and share information about myself and bring my data along with me. So it's got all of these different things that it can do, but where it's starting is inside of crypto wallets and crypto apps, and they are adopting it for this identity idea. And it's the same form of identity across all your apps. That's the thing that's new here. So, yeah, that's the really big and profound shift that's happening. And the reason why this is going to be maybe even more important than a lot of, you know, your listeners think is that, everyone's going to have a crypto wallet. Every person in the world is going to have a crypto wallet. Every app, every consumer app that you use is going to build one in. Twitter just launched, just built one. Reddit is building one. You're seeing it across all the consumer finance apps. So it's not just the crypto companies that you're thinking of, every app's going to have a wallet. And it's going to really change the way that we use the internet. >> I think there's a couple things you pointed. I want to get your reaction to and thoughts more on this concept of DApps or decentralized applications, DApps or depending on what you call it. This is applications. And that take advantage of the architecture, and then this idea of users owning their own data. And this absolutely reverses the script today. Today, you see Facebook, you see LinkedIn, all these silos, they own the data that you are the product. Here, the users are in control. They have their data, but the apps are being built for it for the paradigm shift here, right? That's what's happening. Is that right? >> Totally, totally. And so, it all starts. I mean, DApp is just this crazy term. It feels like it's this, like really foreign, weird thing. All it means is that you sign in with your wallet instead of signing in with a username and password, where the data is stored inside of that app. Like inside of Facebook. So that's the only real, like, core underneath difference to keep in mind, signing in with the wallet. But that is like a complete sea change in the way the internet works. Because I have this key, this private key, it's on my phone or my device or whatever. And I'm the only one that has it. So, if somebody wanted to hack me, they need to go get access to my device. Two years ago, when Twitter got hacked, Barack Obama and Elon Musk were tweeting the same stuff. That's because Twitter had all the data. And so, you needed to hack Twitter instead of each individual person. It's a completely different security model. It's way better for users to have that. But, if you're thinking from the user perspective, what's going to happen is, is that instead of Facebook storing all of my data, and then me being trapped inside of Facebook, I'm going to store it, and I'm going to move around on the internet, logging in with my Web3 username, my NFT domain name, and I'm going to have all my data with me. And then I could use 100 different Facebooks all in one day. And it would be effortless for me to go and move from one to the other. So, the monopoly situation that we exist in as a society is because of the way data storage works and- >> So that's a huge point. So let's double down on that for one more second. This is a huge point. I want to get your thoughts. So I think people don't understand that in the mainstream having that horizontal traversal or ability to move around with your identity in this case, your Unstoppable Domain and your data allows the user to take it from place to place. It's like going to other apps that could be like Facebook, where the user's in charge. And they're either deciding whether to share their data or not, or they're certainly continuate their data. And this allows for more of a horizontal scalability for the user, not for a company. >> Yeah, and what's going to happen is, as users are building up their reputation. They're building up their identity in Web3. So you have your username and you have your profile and you have certain badges of activities that you've done. And you're building up this reputation. And now apps are looking at that, and they're starting to create social networks and other things to provide me services because it started with the user. And so, the user is starting to collect all this valuable data, and then apps are saying, well, hey, let me give you a special experience based on that. But the real thing, and this is like the core, I mean, this is just like a core capitalist idea, in general. If you have more competition, you get a better experience for users. We have not had competition in Web2 for decades because these companies have become monopolies. And what Web3 is really allowing is, this wide open competition. And that's the core thing. Like, it's not like, you know, it's going to take time for Web3 to get better than Web2. You know, it's very, very early days. But the reason why it's going to work is because of the competitive aspect here. Like it's just so much better for consumers when this happens. >> I would also add to that, first of all, great point, great insight. I would also add that the web presence technology based upon DNS specifically is, first of all, it's asking, so it's not foreign characters, it's not Unicode for the geeks out there. But that's limiting too, it limits you to be on a site. And so, I think the combination of kind of inadequate or antiquated DNS has limitations. So if... And that doesn't help communities, right? So when you're in the communities, you have potentially marketplaces that could be anywhere. So if you have ID, I'm just kind of thinking it forward here. But if you have your own data and your own ID, you can jump into a marketplace, two-sided marketplace anywhere. An app can provide that, if the community's robust, this is kind of where I see the use case going. How do you guys, do you guys agree with that statement and how do you see that ability for the user to take advantage of other competitive or new emerging communities or marketplaces? >> So I think it all comes down. So identity is just this huge problem in Web2. And part of the reason why it's very, very hard for new marketplaces and new communities to emerge is 'cause you need all kinds of trust and reputation. And it's very hard to get real information about the users that you're interacting with. If you're in the Web3 paradigm, then what happens is, is you can go and check certain things on the blockchain to see if they're true. And you can know that they're true 100%. You can know that I have used Uniswap in the past 30 days, and OpenSea in the past 30 days. You can know for sure that this wallet is mine. The same owner of this wallet also owns this other wallet, owns this asset. So having the ability to know certain things about a stranger is really what's going to change behavior. And one of the things that we're really excited about is being able to prove information about yourself without sharing it. So I can tell you, hey, I'm a unique person. I'm an American, I'm not an American, but I don't have to tell you who I am. And you can still know that it's true. And that concept is going to be what enables what you're talking about. I'm going to be able to show up in some new community that was created two hours ago, and we can all trust each other that a certain set of facts are true. And that's possible because- >> And exchange value with smart contracts and other with no middle men involved activities, which is the promise of the new decentralized web. All right, so let me ask you a question on that. Because I think this is key. The anonymous point is huge. If you look at any kind of abstraction layers or any evolution in technology over the years, it's always been about cleaning up the mess or extending capabilities of something that was inadequate. We mentioned DNS, now you got this. There's a lot of problems with Web2, 2.0, social bots. You mentioned bots. Bots are anonymous and they don't have a lot of time in market. So it's easy to start bots, and everyone who does either scraping bots, everyone knows this. What you just pointed out was, in an ops environment that was user choice, but has all the data that could be verified. So it's almost like a blue check mark on Twitter without having your name, kind of- >> It's going to be 100s of check marks, but exactly. 'Cause there's so many different things that you're going to want to communicate to strangers, but that's exactly the right mental model. It's going to be these check marks for all kinds of different contexts. And that's what's going to enable people to trust that they're, you know, you're talking to a real person or you're talking to the type of person you thought you were talking to, et cetera. But yeah, it's, you know, I think that the issues that we have with bots today are because Web2 has failed at solving identity. I think Facebook at one point was deleting half a billion fake accounts per quarter. Something like the entire number of user profiles they were deleting per year. So it's just a total- >> And they spring up like mushrooms. They just pop up, to think that's the problem. I mean, the data that you acquire in these siloed platforms is used by them, the company. So you don't own the data, so you become the product as the cliche goes. But what you guys are saying is, if you have an identity and you pop around to multiple sites, you also have your digital footprints and your exhaust that you own. Okay, that's time, that's reputation data. I mean, you can cut it any way you want, but the point is, it's your stuff over time, that's yours. And that's immutables on the blockchain, you can store it and then make that permanent and add to it. >> Exactly. >> That's a time based thing versus today, bots that are spreading misinformation can get popped up when they get killed. They just start another one. So time actually is a metric for quality here. >> Absolutely. And people already use it in the crypto world to say like, hey, this wallet was created greater than two years ago. This wallet has had transactions for at least three or four years. Like this is probably a real, you know, this is probably a legitimate user. And anybody can look that up. I mean, we can we go look it up together right now on Etherscan, it would take a minute. >> Yeah, (indistinct). Yeah, I'm a big fan, I can tell, I love this product. I think you guys are going to do really well. Congratulations, I'm a big fan. I think this is needed. What are some of the deals you've done? blockchain.com is one and Opera. Can you take us through those deals and why they're working with you? Let's start with blockchain.com. >> Yeah, so the whole thing here is that, this identity standard for Web3 apps need to choose to support it. So, you know, we spent several years as a company working to get as many crypto wallets and browsers and crypto exchanges to support this identity standard. Some of the largest and probably most popular companies to have done this are, blockchain.com, for example, blockchain.com, one of the largest crypto wallets in the world. And you can use your domain names instead of crypto addresses. And this is super cool because blockchain.com in particular focuses on onboarding new users. So they're very focused on how we're going to get the next 4 billion internet users to use this tech. And they said, usernames are going to be essential. Like, how can we onboard this next several billion people if we have to explain to them about all these crazy addresses. And it's not just one, like we want to give you 10, 40 character addresses for all these different contexts. Like, it's just no way people are going to be able to do that without having a user name. So, that's why we're really excited about what blockchain.com's doing. They want to train users that this is the way you should use the tech. >> Yeah, and certainly no one wants to remember. I remember how writing down all my... You know, I was never a big wallet fan 'cause of all the hacks I used to write it down and store it in my safe. But if the house burns down or I kick the can who's going to find it, right? So again, these are all important things. Your key storing it, securing it, super important. Talk about Opera. That's an interesting partnership because it's got a browser that people know what it is. What are they doing different? Almost imagine they're innovating around the identity and what people's experiences with what they touch. >> Yeah, so this is one of those things that's a little bit easier and I strongly encourage everybody to go and try DApps after this. 'Cause this is going to be one of those concepts, it can be a little easier if you try it than if you hear about it. But the concept of a wallet and a browser are kind of merging. So it makes sense to have a wallet inside of your browser. Because when you go to a website, the website's going to want you to sign in with your wallet. So having that be in one app is quite convenient for users. And so Opera was one of the trailblazers, a traditional browser that added a crypto wallet so that you can store money in there. And then also added support for domain names for payments and for websites. So, you can type in brad.crypto and you can send me money, or you can type in brad.crypto into the browser and you can check out my website. I've got a little NFT gallery. You can see my collection up there right now. So that's the idea is that, browsers have this kind of superpower in Web3. And what I think is going to happen, Opera and Brave have been kind of the trailblazers here. What I think is going to happen is that, these traditional browsers are going to wake up and they're going to see that integrating a wallet is critical for them to be able to provide services to consumers. >> I mean, it is an app. I mean, why not make it a DApps as well? Because why wouldn't I want to just send you crypto, like Venmo, you mentioned earlier, which people can understand that concept. Venmo, let me make my cash. Same concept here. But built in to the browser, which is not a browser anymore it's a reader, a DApp reader, basically with a wallet. All right, so what does this mean for you guys and the marketplace? You got Opera pushing the envelope on browsing, changing the experience, enabling the applications to be discovered and navigated and consumed. You got blockchain.com with the wallets and being embedded there. Good distribution. Who are you looking for for partners? How do people partner? Let's just say theCUBE wants to do NFTs, and we want to have a login for our communities, which are all open. How do we partner with you? Or do we? We have to wait or is there a... I mean, take us through the partnership strategy. How do people engage with Unstoppable Domains? >> Yeah, so, I mean, I think that if you're a wallet or a crypto exchange, it's super easy, we would love to have you support being able to send money using domains. We also have all sorts of different kind of marketing activities we can do together. We can give out free stuff to your communities. We have a bunch of education that we do. We're really trying to be this onboarding point to Web3. So there's, I think a lot of cool stuff we can do together on the commercial side and on the marketing side. And then the other category that we didn't talk about was DApps. And we now have this login with ensemble domains, which you kind of alluded to there. And so you can log in with your domain name and then you can give the app permission to get certain information about you or proof of information about you, not the actual information, if you don't want to share it, because it's your choice and you're in control. And so, that would be another thing. Like, if you all launch a DApps, we should absolutely have login with Unstoppable there. >> Yeah, there's so much headroom here. You got a short term solution with exchange. Get that distribution, I get that, that's early days of the foundation, push the distribution, get you guys everywhere. But the real success comes in for the login. I mean, the sign in single sign in concept. I think that's going to be powerful, great stuff. Okay, future, tell us something we don't know about Unstoppable Domains that people might be interested in. >> I think the thing that you're going to hear about a lot from us in the future is going to be around this idea of identity, of being able to prove that you're a human and be able to tell apps that. And apps are going to give you all kinds of special access and rewards and all kinds of other things, because you gave 'em that information. So that's probably, that's the hint I'm going to drop. >> You know, it's interesting, Brad. You bring trust, you bring quality verified data, choose intelligence software and machine learning, AI and access to distributed communities and distributed applications. Interesting to see what the software does with that. Cause it traditionally didn't have that before. I mean, just in mind blowing. I mean, it's pretty crazy. Great stuff. Brad, thanks for coming on. Thanks for sharing the insight. The Co-founder of Unstoppable Domains, Brad Kam. Thanks for stopping by theCUBE's Showcase with Unstoppable Domains. >> Thanks for having me. (bright upbeat music)

>>Oh, welcome to this cube unstoppable domain showcase. I'm John for your host of the cube and showcasing all the great content about web three. And what's around the corner for web. For of course, stoppable domains is one of the big growth stories in the business bread. Can the co-founders here with me have ensembles mains break. Great to see you. Thanks for coming on the showcase. >>So you have a lot of history in the, in the web three, they're calling it net, but it's basically crypto and blockchain. You know, the white paper came out and then, you know how it developed was organically. We saw how that happened. Now, the co-founder was titled domains. You seeing the mainstream, I would say main street scene, super bowl commercials. Okay. You're seeing it everywhere. So it is, it is here. Stadiums are named after cryptos companies. It's here. Hey, it's no longer a fringe. It is reality. You guys are in the middle of it. What's what's going on with the trend. And where does unstoppable fit in? Where do you guys tie in here? >>I mean, I think that what's been happening in general, this whole revolution around cryptocurrencies and then in FTEs and what unstoppable domains is doing, it's all around creating this idea that people can own something that's digital. And this hasn't really been possible before Bitcoin Bitcoin was the first case. You could own money. You don't need a bank. No one else. You can completely control it. No one else can turn you off. Then there was this next phase of the revolution, which is assets beyond just currencies. So, and if T is digital art, what we're working on is like a decentralized identity, like a username for web three and each individual domain name is a is an NFT. But yeah, it's a, it's been a, it's been a, it's been a crazy ride over the past. >>It's fun because you on siliconangle.com, which we founded, we were covering early days of crypto. In fact, our first website, the developer want to be paid in crypto is interesting price of Bitcoin. I won't say that how low it was, but then you saw, you saw the, you know, the ICO way, the token started coming in, you started seeing much more engineering, focused, a lot of white papers coming out, a lot of cool ideas. And then now you got this mainstream of it. So I had to ask you, what are the coolest things you guys are working on because ensemble has a solution that solves a problem today, and that people are facing at the same time. It is part of this new architecture. What problem do you guys solve right now? That's in market that you're seeing the most traction on. >>Yeah. So it's really about, so whenever you inter interact with a blockchain, you wind up having to deal with one of these really, really crazy public keys, public addresses. And they're like anywhere from 20 to 40 characters, long they're random, they're impossible to memorize. And going back to even early days in crypto, I think if people knew that this tech was not going to go mainstream, if you have to copy and paste these things around, if I'm getting to send you like a million dollars, I'm going to copy and paste some random string of numbers and letters. I'm going to have no confirmations about who I'm sending it to. And I'm going to hope that it works out. It's just not practical people. Who've kind of always known there was going to be a solution. And one of the more popular ideas was doing kind of like what DNS did, which is instead of having to deal with these crazy IP addresses this long, random string of numbers to find a website, you have a name, like a keyword, something that's easy to remember, you know, like a hotels.com or something like that. And so what NFT domains are, is basically the same thing, but for blockchain addresses and yeah, it's just, it's just better and easier. There's this joke that everybody, if you want to send me money, you're going to send me a test transaction of, you know, like a dollar first, just to make sure that I get it, call me up and make sure that I get it before you go and send the big amount. I'm just not the way moving, you know, billions of dollars of value is going to work in the future. >>Yeah. And I think one of the things you just pointed out, make it easier. One of these, when you have these new waves, these shifts we saw with the web web pages, more and more web pages were coming on more online users, they call the online population is growing here, the same thing's happening. And the focus is on ease of use, making things simple, to understand and reducing the step it takes to do things, right. This is kind of, kind of what is going on and with the developer community and what a theory has done really well is brought in the developers. So that's the, that's the convergence of all the action. And so when you, so that's where you're at right now, how do you go forward from here? Obviously see this business development deals to do. You guys are partnering a lot. What's the strategy? What are some of the things that you can share about some of your business activity that points to how mainstream it is and where it's going? Okay. >>So I think the, the, the, the way to, the way to think about, and, and T domain name is that it's meant to be like your identity on web three. So it's gonna have a lot of different contexts. It's kind of like your, your Venmo account, where you could send me money to Brad dot crypto can be your decentralized website, where you can check out my content at Brad dot crypto. It can also be my like login kind of like a decentralized Facebook OAuth, where I can log into ADAPs and share information about myself and bring my data along with me. So it's got all of these, all of these different, all these different things that it can do, but where it's starting is inside of crypto wallets and crypto apps, and they are adopting it for this identity, this identity idea. And it's the same identity across all your apps. >>That's the thing that's kinda, that's new here. So, so yeah, that's the, that's the really, that's the really big and profound shift that's happening. And the reason why this is going to be maybe even more important, a lot of, you know, your, your listeners thing is that everyone's going to have a crypto wallet. Every person in the world is going to have a crypto wallet. Every app, every consumer app that you use is going to build one in Twitter, just launched, just built one. Reddit is building one. You're seeing it across all the consumer finance apps. So it's not just the crypto companies that you're thinking of. Every app is going to have a wallet, and it's going to really, it's going to really change the way that we use the internet. >>I think there's a couple of things you pointed. I want to get your reaction to and thoughts more on this constant adapts or decentralized applications or dimension when you call it, this is applications and that take advantage of, of the architecture and then this idea of users owning their own data. And this absolutely reverses the script today. Today, you see Facebook, you see LinkedIn, all these silos, they own the data. The, you are the product here. The users are in control. They have their data, but the apps are being built for it for the paradigm shift here. Right. That's what's happening. Is that right now? >>Totally, totally. And, and so it all starts, I mean, DAP is just this crazy term. It feels like it's this like really foreign, weird thing. All it means is that you sign in with your wallet instead of signing in with a username and password where the data is stored inside of that app, like inside of Facebook. So that's, that's the only real, like core underneath difference to keep in mind signing in with a wallet. But that is like a complete sea change in the way the internet works, because I have this, this key, this private key it's on my phone or my device or whatever. And I'm the only one that has it. So if somebody wanted to hack me, they need to go get access to my device. Two years ago, when Twitter got hacked, Barack Obama and Elon Musk were tweeting the same stuff. >>That's because Twitter had all the data. And so you needed to hack Twitter instead of each individual person, it's a completely different security model. It's, it's way better for users to have that. But if you're thinking from the user perspective what's going to happen is, is that instead of Facebook storing all of my data, and then me being trapped inside of Facebook, I'm going to store it. And I'm gonna move around on the internet, logging in with my web three username, my, my, my NFT domain name. And I'm going to have all my data with me. And then I could use a hundred different Facebooks all in one day. And it would be effortless for me to go and move from one to the other. So the monopoly situation that we exist in as a society is because of the way data storage works. >>So that's the huge point. So let's just, let's double down on that for one more. Second, this is huge point. I want to get your thoughts. I think people don't understand that in the mainstream having that horizontal traversal or, or, or the ability to move around with your identity in this case, your unstoppable domain and your data allows the user to take it from place to place. It's like going to other apps that could be Facebook where the user's in charge. And they're either deciding whether to share their data or not, or are certainly continually their data. And this allows for more of a horizontal scalability for the user, not for a company. >>Yeah. And what's going to happen is, is users are building up their reputation. They're building up their identity in web three. So you have your username and you have your, your profile and you have certain badges of, you know, activities that you've done. And you're building up this reputation. And now apps are looking at that and they're starting to create social networks and other things to provide me services because I, it started with the user as, or the user is starting to collect all this valuable data. And then apps are saying, well, Hey, let me give you a special experience based on that, but the real thing, and this is like, this is like the core mean, this is just like a core capitalist idea. In general, you have more competition, you get a better experience for users. We have not had competition on, on, in web two for decades because these companies have become monopolies. And what web three is really allowing is this wide open competition. And, and that is what, that's the core thing. Like, it's not like, you know, it's going to take time for, for, for web three to get better than web two. You know, it's very, very early days, but the reason why it's going to work is because of the competitive aspect here. Like you can just, it's just so much better for consumers when this happened. >>I would also add to that, first of all, great point, great insight. I would also add that the web presence technology based upon DNS specifically is first of all, it's asking, so it's not foreign characters. It's not union code for, for the geeks out there, but that's limiting to its limits you to be on a site. And so I think the combination of kind of inadequate or antiquated DNS has limitations. So if, and that doesn't help communities, right? So when you're in the communities, you have potentially marketplaces, that could be anywhere. So if you have a ID and just kind of thinking it forward here, but if you have your own data and your own ID, you can jump into a marketplace two-sided marketplace anywhere. And app can provide that if the community is robust, this is kind of where I see the use case going. How do you guys, do you guys agree with that statement and how do you see that ability for the user to take advantage of other competitive or new emerging communities or marketplace? >>So I think it all comes down. So I identity is just this huge problem in web two. And part of the reason why it's very, very hard for new marketplaces and new communities to emerge is because you need all kinds of trust and reputation. And it's very hard to get, to get real information about the users that you're interacting with. If you're, if you're in the web three paradigm, then what happens is, is you can go and check certain things on the blockchain to see if they're true. And you can know that they're true. A hundred percent. You can know that I have used unit swab in the past 30 days and open, see in the past 30 days, you can know for sure that this wallet is mine. The same owner of this wallet also owns this other wallet, owns this certain asset. So all of having the ability to know certain things about a stranger is really what's going to change behavior. >>And one of the things that we're really excited about is being able to prove information about yourself without sharing it. So I can tell you, Hey, I'm a unique person. I'm an American, I'm not an American, but I don't have to tell you who I am. And, and you can still know that it's true. And, and that is that concept is going to be what enables, what you're talking about. I'm going to be able to show up in some new community that was created two hours ago, and we can all trust each other that a certain set of facts are true. And that's possible because of >>Exchange and exchange value with smart contracts and other no middlemen involved activities, which is the promise of the new decentralized web. All right. So let me ask you a question on that, because I think this is key. The anonymous point is huge. If you look at any kind of abstraction layers or any evolution in technology over the years, it's always been about cleaning up the mess or the, or extending capabilities of something that was inadequate. We mentioned DNS. Now you got this, there's a lot of problems with web two, 2.0, social bots. You mentioned bots, bots are anonymous and they don't have a lot of time in market. So it's easy to start bots and everyone who does either scraping bots, everyone knows this. What you just pointed out was an ops environment that was user choice, but has all the data that could be verified. So it's almost like a blue check mark on Twitter without your name, >>Kind of, it's good. It's going to be hundreds of check marks, but exactly, because there's so many different things that you're going to want to be, you're going to want to communicate to strangers, but that's exactly the right. That's exactly the right mental model. It's going to be these check marks for all kinds of different contexts. And that's, what's going to enable people to trust that they're, you know, you're talking to a real person or you're talking to the type of person you thought you were talking to, et cetera. But yeah, it's, it's, you know, I, I think that the issues that we have with bots today are because a web tool has failed at solving identity. I think Facebook at one point was deleting half a billion fake accounts per quarter. Something like the entire number of user profiles. They were deleting per you know, per year. So it's just a total. >>They spring up like mushrooms. They just pop up the thing. This is the problem. I mean, the data that you acquire in new siloed platforms is used by them, the company. So you don't own the data. So you become the product as the cliche goes. But what you're saying is if you have an identity and you pop around to multiple sites, you also have your digital footprints and your exhaust that you own. Okay. That's time. That's reputation data. I mean, you can cut it any way you want, but the point is, it's your stuff over time, that's yours and that's immutable. It's on the blockchain. You can store it and make that permanent and add to it. Exactly. That's, that's a time-based thing versus today, bots that are spreading misinformation can, can get popped up when they get killed. They just start another one. So time actually is a metric for quality here. >>Absolutely. And people already use it in the crypto world to say like, Hey, this wallet was created greater than two years ago. This wallet has had, you know, head has had transactions for at least three or four years. Like this is probably a real, you know, this is probably a legit legitimate user and anybody can look that up. I mean, we could go look it up together right now on, on ether scan. It would take, you know, a minute. >>Yeah. It's awesome. Yeah. I'm a big fan. I can tell, I love this product. I think you guys are gonna do really well. Congratulations. I'm a big fan. I think this is needed. What are some of the deals you've done? blockchain.com has won an opera. Can you take us through those deals and why they're working with you? We'll start with blockchain.com. >>Yeah. So the whole thing here is that this identity standard for web three apps need to choose to support it. So we spent several years as a company working to get as many crypto wallets and browsers and crypto exchanges to support this, to support this identity standard. Some of the, some of the, the, the largest, and probably, you know, most, most popular companies to have done. This are blockchain.com. For example, blockchain.com, one of the largest crypto wallets in the world. And you can use your domain names instead of crypto addresses. And, and, and this is, this is, this is super cool because blockchain.com in particular focuses on onboarding new users. So they're very focused on how we're going to get the next 4 billion internet users to use this tech. And they said, you know, usernames are going to be essential. Like, how can we onboard this next several billion people? If we have to explain to them about all these crazy addresses, and it's not just one, like we want to give you 10 40 character addresses for all these different contexts. Like, it's just, it's just, it's just no way people are gonna be able to do that without, without having a username. So that's why we're really excited about, about what blockchain that comes through. And they, they, they want to train users that this is the way you should use it. >>Yeah. And certainly no one wants to remember. I remember writing down all my writing. I, I'm not, I was never a big wallet fan cause all the hacks, I used to write it down and store it in my safe. But if the house burns down or I, I kick the can I'm, who's going to find it. Right? So again, these are all important things, your key storing it, securing it, super important. Talk about opera. And that's an interesting partnership because it's got a browser and people know what it is, what are they doing? Different almost imagine they're innovating around the identity and what people's experiences with, what they touch. >>So this is, this is one of those things. That's a little bit easier. And I strongly encourage everybody to go and try dApps after this. Cause this is going to be one of those concepts to be a little easier. If you, if you try it, then if you hear about it, but the concept of a wallet and a browser are kind of merging. So it makes sense to have a wallet inside of your browser. Because when you go to a website, the website is going to want you to sign in with your wallet. So having that be in one app is quite convenient for users. And so opera was one of the trailblazers, a traditional browser that added a crypto wallet so that you can store money in there. And then also added support for domain names, for payments and for websites. So you can type in Brad dot crypto and you can send me money or you can type in Brad dot crypto into the browser and you can check out my website. I've got a little NFT gallery. You can see my collection up there right now. So that's the, that's the idea is that browsers have this kind of super power in a web three. And what I think is going to happen opera and brave have been kind of the trailblazers here. But I think is going to happen is that these traditional browsers are going to wake up and they're going to see that integrating a wallet is critical for them to be able to provide services to consumers. >>I mean, it is an app. I mean, why not make it a D app as well? Because why wouldn't I want to just send you crypto, like Venmo, you mentioned earlier, which people can understand that concept. Ben, let me make my cash. Same concept here, but built in to the browser, which is not a browser anymore. It's a, a reader, a D app reader, basically with a wallet. All right. So, so what does this mean for you guys in the marketplace? You've got opera pushing the envelope on browsing, changing the experience, enabling the applications to be discovered and navigated and consumed. You got blockchain.com, blockchain.com with the wallets and being embedded there. Good distribution. How, what, who are you looking for for partners? How do people partner? Let's just say the cube wants to do NFTs and we want to have a login for our communities, which are all open. How do we partner with you? Or do we have to wait? Or is there a, I mean, take us through the partnership strategy. How do we, how do people engage with unstoppable Dwayne's >>Yeah, so, I mean, I think that if you're, you know, if you're a wallet or a crypto exchange, it's super easy, we would love to have you support being able to send money using domains. We also have all sorts of different kind of marketing activities we can do together. We can give out free stuff to, to your communities. We have a bunch of education that we do. We're really trying to be this onboarding point to web three. So there's, I think a lot of, a lot of cool stuff we can do together on the commercial side and on the, the, the marketing side. And then the other category that we didn't talk about was dabs. And we now have this login with unstoppable domains, which you kind of alluded to there. And so you can log in with your domain name and then you can give the app permission to get certain information about you or proof of information about you, not the actual information, if you don't want to share it because it's your choice and you're in control. And so that would be, that would be another thing. Like if you all launch a DAP, we should absolutely have log-in with unstoppable. >>Yeah. There's so much headroom here. You've got a short-term solution with exchange. Get that distribution. I get that that's early days of the foundation, push the distribution, get you guys everywhere. But the real success comes in for the login. I mean, the sign-on single sign-on concept. I think that's going to be powerful, great stuff. Okay. Future, tell us something we don't know about ensemble domains that people might be interested in. >>I think it's really, I think the thing that you're going to hear about a lot from us in the future is going to be around this idea of identity, of being able to prove that you're a human and be able to tell apps that and apps are going to give you all kinds of special access and rewards and all kinds of other things, because, because you gave them that information. So that's the that's, that's probably, that's the hint I'm going to drop. >>Yeah. It's interesting. Brad, you bring trust, you bring quality verified data to intelligence, software, and machine learning, AI and access to distributed communities and distributed applications. Interesting to see what the software does, what that, cause it traditionally didn't have that before. I mean just in mindblowing, I mean, it's pretty crazy great stuff, Brad. Thanks for coming on. Thanks for sharing the insight. Co-founder unstoppable domains, Brad camp. Thanks for stopping by the cubes. Showcase with unstoppable domains.

>>Hey, everyone. Welcome to the cubes coverage of women in data science, 2022. I'm Lisa Martin. And I'm here with one of the key featured keynotes for this year is with events. So the Aragon, the professor and department of human centered design and engineering at the university of Washington Cecilia, it's a pleasure to have you on the cube. >>Thank you so much, Lisa Lisa, it's a pleasure to be here as well. >>You got an amazing background that I want to share with the audience. You are a professor, you are a data scientist, an aerobatic pilot, and an author with expertise in human centered, data science, visual analytics, aviation safety, and analysis of extremely large and complex data sets. That's quite the background. >>Well, thank you so much. It's it's all very interesting and fun. So, >>And as a professor, you study how people make sense of vast data sets, including a combination of computer science and art, which I love. And as an author, you write about interesting things. You write about how to overcome fear, which is something that everybody can benefit from and how to expand your life until it becomes amazing. I need to take a page out of your book. You were also honored by president Obama a few years back. My goodness. >>Thank you so much. Yes. I I've had quite a journey to come here, but I feel really fortunate to be here today. >>Talk about that journey. I'd love to understand if you were always interested in stem, if it was something that you got into later, I know that you are the co-founder of Latinas in computing, a passionate advocate for girls and women in stem. Were you always interested in stem or was it something that you got into in a kind of a non-linear path? >>I was always interested in it when I was a young girl. I grew up in a small Midwestern town and my parents are both immigrants and I was one of the few Latinas in a mostly white community. And I was, um, I loved math, but I also wanted to be an astronaut. And I remember I, when we were asked, I think it was in second grade. What would you like to be when you grow up? I said, oh, I want to be an astronaut. And my teacher said, oh, you can't do that. You're a girl pick something else. And um, so I picked math and she was like, okay. >>Um, so I always wanted to, well, maybe it would be better to say I never really quite lost my love of being up in the air and potentially space. But, um, but I ended up working in math and science and, um, I, I loved it because one of the great advantages of math is that it's kind of like a magic trick for young people, especially if you're a girl or if you are from an underrepresented group, because if you get the answers right on a math test, no one can mark you wrong. It doesn't matter what the color of your skin is or what your gender is. Math is powerful that way. And I will say there's nothing like standing in a room in front of a room of people who think little of you and you silence them with your love with numbers. >>I love that. I never thought about math as power before, but it clearly is. But also, you know, and, and I wish we had more time because I would love to get into how you overcame that fear. And you write books about that, but being told you can't be an astronaut. You're a girl and maybe laughing at you because you liked Matt. How did you overcome that? And so nevermind I'm doing it anyway. >>Well, that's a, it's a, okay. The short answer is I had incredible imposter syndrome. I didn't believe that I was smart enough to get a PhD in math and computer science. But what enabled me to do that was becoming a pilot and I B I learned how to fly small airplanes. I learned how to fly them upside down and pointing straight at the ground. And I know this might sound kind of extreme. So this is not what I recommend to everybody. But if you are brought up in a way where everybody thinks little of you, one of the best things you can possibly do is take on a challenge. That's scary. I was afraid of everything, but by learning to fly and especially learning to fly loops and rolls, it gave me confidence to do everything else because I thought I appointed the airplane at the ground at 250 miles an hour and waited, why am I afraid to get a PhD in computer science? >>Wow. How empowering is that? >>Yeah, it really was. So that's really how I overcame the fear. And I will say that, you know, I encountered situations getting my PhD in computer science where I didn't believe that I was good enough to finish the degree. I didn't believe that I was smart enough. And what I've learned later on is that was just my own emotional, you know, residue from my childhood and from people telling me that they, you know, that they, that I couldn't achieve >>As I look what, look what you've achieved so far. It's amazing. And we're going to be talking about some of the books that you've written, but I want to get into data science and AI and get your thoughts on this. Why is it necessary to think about human issues and data science >>And what are your thoughts there? So there's been a lot of work in data science recently looking at societal impacts. And if you just address data science as a purely technical field, and you don't think about unintended consequences, you can end up with tremendous injustices and societal harms and harms to individuals. And I think any of us who has dealt with an inflexible algorithm, even if you just call up, you know, customer service and you get told, press five for this press four for that. And you say, well, I don't fit into any of those categories, you know, or have the system hang up on you after an hour. I think you'll understand that any type of algorithmic approach, especially on very large data sets has the risk of impacting people, particularly from low income or marginalized groups, but really any of us can be impacted in a negative way. >>And so, as a developer of algorithms that work over very large data sets, I've always found it really important to consider the humans on the other end of the algorithm. And that's why I believe that all data science is truly human centered or should be human centered, should be human centered and also involves both technical issues as well as social issues. Absolutely correct. So one example is that, um, many of us who started working in data science, including I have to admit me when I started out assume that data is unbiased. It's scrubbed of human influence. It is pure in some ways, however, that's really not true as I've started working with datasets. And this is generally known in the field that data sets are touched by humans everywhere. As a matter of fact, in our, in the recent book that we're, that we're coming out with human centered data science, we talk about five important points where humans touch data, no matter how scrubbed of human influence it's support it's supposed to be. >>Um, so the first one is discovery. So when a human encounters, a data set and starts to use it, it's a human decision. And then there's capture, which is the process of searching for a data set. So any data that has to be selected and chosen by an individual, um, then once that data set is brought in there's curation, a human will have to select various data sets. They'll have to decide what is, what is the proper set to use. And they'll be making judgements on this the time. And perhaps one of the most important ways the data is changed and touched by humans is what we call the design of data. And what that means is whenever you bring in a data set, you have to categorize it. No, for example, let's suppose you are, um, a geologist and you are classifying soil data. >>Well, you don't just take whatever the description of the soil data is. You actually may put it into a previously established taxonomy and you're making human judgments on that. So even though you think, oh, geology data, that's just rocks. You know, that's soil. It has nothing to do with people, but it really does. Um, and finally, uh, people will label the data that they have. And this is especially critical when humans are making subjective judgments, such as what race is the person in this dataset. And they may judge it based on looking at the individual skin color. They may try to apply an algorithm to it, but you know what? We all have very different skin colors, categorizing us into race boxes, really diminishes us and makes us less than we truly are. So it's very important to realize that humans touch the data. We interpret the data. It is not scrubbed of bias. And when we make algorithmic decisions, even the very fact of having an algorithm that makes a judgment say on whether a prisoner's likely to offend again, the judge just by having an algorithm, even if the algorithm makes a recommended statement, they are impacted by that algorithms recommendation. And that has obviously an impact on that human's life. So we consider all of this. >>So you just get given five solid reasons why data science and AI are inevitably human centric should be, but in the past, what's led to the separation between data science and humans. >>Well, I think a lot of it simply has to do with incorrect mental models. So many of us grew up thinking that, oh, humans have biases, but computers don't. And so if we just take decision-making out of people's hands and put it into the hands of an algorithm, we will be having less biased results. However, recent work in the field of data science and artificial intelligence has shown that that's simply not true that algorithmic algorithms reinforce human biases. They amplify them. So algorithmic biases can be much worse than human biases and can greater impact. >>So how do we pull ethics into all of this data science and AI and that ethical component, which seems to be that it needs to be foundational. >>It absolutely has to be foundational. And this is why we believe. And what we teach at the university of Washington in our data science courses is that ethical and human centered approaches and ideas have to be brought in at the very beginning of the algorithm. It's not something you slap on at the end or say, well, I'll wait for the ethicists to weigh in on this. Now we are all human. We can all make human decisions. We can all think about the unintended consequences of our algorithms as we develop them. And we should do that at the very beginning. And all algorithm designers really need to spend some time thinking about the impact that their algorithm may have. >>Right. Do you, do you find that people are still in need of convincing of that or is it generally moving in that direction of understanding? We need to bring ethics in from the beginning, >>It's moving in that direction, but there are still people who haven't modified their mental models yet. So we're working on it. And we hope that with the publication of our book, that it will be used as a supplemental textbook in many data science courses that are focused exclusively on the algorithms and that they can open up the idea that considering the human centered approaches at the beginning of learning about algorithms and data science and the mathematical and statistical techniques, that the next generation of data scientists and artificial intelligence developers will be able to mitigate some of the potentially harmful effects. And we're very excited about this. This is why I'm a professor, because I want to teach the next generation of data scientists and artificial intelligence experts, how to make sure that their work really achieves what they intended it to, which is to make the world a better place, not a worse place, but to enable humans to do better and to mitigate biases and really to lead us into this century in a positive way. >>So the book, human centered data science, you can see it there over Sicily, his right shoulder. When does this come out and how can folks get a copy of it? >>So it came out March 1st and it's available in bookstores everywhere. It was published by MIT press, and you can go online or you can go to your local independent bookstore, or you can order it from your university bookstore as well. >>Excellent. Got to, got to get a copy of, get my hands on that. Got cut and get a copy and dig into that. Cause it sounds so interesting, but also so thoughtful and, um, clear in the way that you described that. And also all the opportunities that, that AI data science and humans are gonna unlock for the world and humans and jobs and, and great things like that. So I'm sure there's lots of great information there. Last question I mentioned, you are keynoting at this year's conference. Talk to me about like the top three takeaways that the audience is going to get from your keynote. >>So I'm very excited to have been invited to wins this year, which of course is a wonderful conference to support women in data science. And I've been a big fan of the conference since it was first developed here, uh, here at Stanford. Um, the three, the three top takeaways I would say is to really consider the data. Science can be rigorous and mathematical and human centered and ethical. It's not a trade-off, it's both at the same time. And that's really the, the number one that, that I'm hoping to keynote will bring to, to the entire audience. And secondly, I hope that it will encourage women or people who've been told that maybe you're not a science person or this isn't for you, or you're not good at math. I hope it will encourage them to disbelieve those views. And to realize that if you, as a member of any type of unread, underrepresented group have ever felt, oh, I'm not good enough for this. >>I'm not smart enough. It's not for me that you will reconsider because I firmly believe that everyone can be good at math. And it's a matter of having the information presented to you in a way that honors your, the background you had. So when I started out my, my high school didn't have AP classes and I needed to learn in a somewhat different way than other people around me. And it's really, it's really something. That's what I tell young people today is if you are struggling in a class, don't think it's because you're not good enough. It might just be that the teacher is not presenting it in a way that is best for someone with your particular background. So it doesn't mean they're a bad teacher. It doesn't mean you're unintelligent. It just means the, maybe you need to find someone else that can explain it to you in a simple and clear way, or maybe you need to get some scaffolding that is Tate, learn extra, take extra classes that will help you. Not necessarily remedial classes. I believe very strongly as a teacher in giving students very challenging classes, but then giving them the scaffolding so that they can learn that difficult material. And I have longer stories on that, but I think I've already talked a bit too long. >>I love that. The scaffolding, I th I think the, the one, one of the high level takeaways that we're all going to get from your keynote is inspiration. Thank you so much for sharing your path to stem, how you got here, why humans, data science and AI are, have to be foundationally human centered, looking forward to the keynote. And again, Cecilia, Aragon. Thank you so much for spending time with me today. >>Thank you so much, Lisa. It's been a pleasure, >>Likewise versus silly Aragon. I'm Lisa Martin. You're watching the cubes coverage of women in data science, 2022.

(upbeat music) >> We're here theCUBE on Cloud Startup Showcase brought to you by AWS. And right now we're going to explore the next frontier for privacy, you know, security, privacy, and compliance, they're often lumped together and they're often lumped on as an afterthought bolted on to infrastructure, data and applications. But, you know, while they're certainly related they're different disciplines and they require a specific domain knowledge and expertise to really solve the challenges of today. One thing they all share is successful implementations, must be comprehensive and designed in at the start and with me to discuss going beyond compliance and designing privacy protections into products and services. Justin Antonipillai, who is the founder and CEO of WireWheel, Justin awesome having you on the AWS Startup Showcase. Thanks for being here >> Dave, thanks so much for having me. It's a real honor, and I appreciate it. Look forward to the discussion. >> So I always love to ask founders, like, take us back. Why did you start this company? Where did your inspiration come from? >> So Dave, I was very lucky. I had the honor of serving in president Obama's second term as an Acting Under Secretary for Economic Affairs. So I ran the part of the government that includes the U.S. Census Bureau and the Bureau of Economic Analysis. So core economic statistical bureaus. But I helped lead a lot of the Obama administration's, outreach and negotiations on data privacy around the world. Including on something called the EU-U.S. Privacy Shield. So at the time the two jobs I had really aligned with what our discussion is here today. The first part of it was, I could see that all around the world in the U.S. and around the world, data privacy and protecting privacy, had become a human rights issue. It was a trade issue. You could see it as a national security issue and companies all around the world were just struggling with how to get legal, how to make sure that I do it right, and how I make sure that I'm treating my customer's data, in the right way. But when I was also leading the agency, a lot of what we were trying to do was to help our U.S. citizens, our folks here around the country solve big public problems by ethically and responsibly using government data to do it. And I can talk about what that meant in a little while. So the inspiration behind why WireWheel was, we need better more technically driven ways to help companies get compliance, to show their customers that they're protecting privacy and to put customers, our customers onto a path where they can start using the customer data better, faster and stronger, but most importantly, ethically. And that's really what we try to tackle at WireWheel. >> Right, excellent. Thank you for that. I mean, yeah you know, in the early days of social media, people kind of fluffed it off and oh there is no privacy in the internet, blah, blah, blah. And then wow, it became a huge social issue and public policy really needed to step in but also technology needs this to help solve this problem. So let's try to paint a picture for people as to really dig into the problem that you solve and why it's so complicated. We actually have a graphic. It's a map of the U S that we want to pull up here. Explain this. >> Yeah, I mean, what you're saying here is that every one of your, our viewers today is going to be looking at privacy laws moving across the country Dave but there's a lot of different ones. You know, if you're a company that's launching and building your product, that you might be helping your customers your consumer facing. The law, and you're even let's assume you want to do the right thing. You want to treat that customer data responsibly and protect it. When you look at a map like this and you can see three States have already passed different privacy laws, but look at the number of different States all across the country that are considering their own privacy laws. It really could be overwhelming. And Virginia, as you can see is just about to pass it's next privacy law but there's something like 23,24 States that are moving them through. The other thing Dave, that's really important about this is, these are not just breach laws. You know, I think years ago we were all looking at these kinds of laws spreading across the country and you would be saying, okay, that's just a breach law. These laws are very comprehensive. They have a lot to them. So what we have been really helping companies with is to enable you to get compliant with a lot of these very quickly. And that's really what we've tried to take on. Because if you're trying to do the right thing there should be a way to do it. >> Got it. Yeah, I can't even imagine what the it had been so many permutations and complexities but imagine this, if this were a globe we were looking at it says it gets out of control. Okay, now you guys well you use a term called phrase beyond compliance? What do we mean by that? >> There are a couple of things. So I'd say almost every company taking a product to market right now, whether you're B2C or B2B you want to make sure you can answer the customer question and say, yes, I'm compliant. And usually that means if you're a B2C company it means that your customers can come to your site. Your site is compliant with all of the laws out there. You can take consents and preferences. You can get their data back to them. All of these are legal requirements. If you're a B2B company, you're also looking at making sure you can create some critical compliance records that's it, right? But when we think beyond compliance, we think of a couple of basic things. Number one, do you tell the story about all the trust and protection you put around your data in a way that your customers want to do business with you? I mean Dave, if you went to CES the last couple of years and you were walking into the center or looking at a virtual version of it, on every billboard, the top five, top 10 global companies advertise that they take care of your data and they're onto something, they're onto something. You can actually build a winning strategy by solving a customer's problem and also showing them that you care, and that they're trustworthy. Because there are too many products out there, that aren't. The second thing, I'm sorry, go ahead. >> No, please carry on. >> No, I mean the second thing, and then I think I'd say is going beyond compliance also means that you're thinking about how you can use that data for your customer, to solve all of their problems. And Dave, what I'd say here is imagine a world right now, in which, you know you trusted that the data that you gave to companies or to the government, was protected and that if you changed your mind and you wanted it back that they would delete it or give it back to you. Can you imagine how much more quickly we would have solved getting a COVID vaccine? Can you imagine how much data would have been available to pharmaceutical companies to actually develop a vaccine? Can you imagine how much more quickly we would have opened the economy? The thing is companies can't solve every problem that they could for a customer because customers don't trust that the data is going to be used correctly and companies don't know how to use it in that way and ethically. And that's what we're talking about when we say getting beyond compliance which is we want to enable our customers to use the data in the best way and most ethical way to solve all of their customer's problems. >> Okay, so I ask the elephant in the room question. If you asked most businesses about personal information, where it's stored, you know who has access to it, the fact is that most people can't answer it. And so when they're confronted with these uncomfortable questions. The other documents and policies that maybe check some boxes, why is that not a good idea? I mean, there's an expense to going beyond that but so why is that not just a good idea to check it off? >> Well look, a lot of companies do need to just check it off and what I mean, get it right, make sure you label and the way we've thought about this is that when you're building on a backbone like AWS, it does give you the ability to buy a lot of services quickly and scale with your company. But it also gives us an ability to comply faster by leveraging that infrastructure to get compliant faster. So if you think about it, 20 years ago whenever I wanted to buy storage or if I wanted to buy servers and look we're a company that built in the cloud, Dave it would have been very difficult for us to buy the right storage and the processing we needed, given that we were starting. But I was able to buy very small amounts of it until our customer profile grew. But that also means my data moved out of a single hard drive and out of a single set of servers, into other places that are hosted in the cloud. So the entire tech stack that all of our customers are building on means they're distributing personal data into the cloud, into SAS platforms. And there's been a really big move through integration platforms as a service to allow you to spread the personal data quickly. But that same infrastructure can be used to also get you compliant faster, and that's the differentiation. So we built a platform that enables a company to inventory their systems, to track what they're doing in those systems and to both create a compliance record faster by tracking what they're doing inside the cloud and in SAS systems. And that's the different way we've been thinking about it as we've been going to market. >> So, okay. So what actually do you sell, you sell a service? Is it a subscription? >> Yeah. >> And AWS is underneath that, maybe you could put down a picture for us. >> Sure, we're a cloud hosted software as a service. We have two core offerings. One is the WireWheel Trust Access Consent Solution. So if you go to a number of major brands, and you go to their website, when they tell you here's the data we're collecting about you, when they collect your consents and preferences, when they collect a request for data correction or deletion of the data, all the way from the request to delivery back to the consumer, we have an end to end system that our customers use with their customers, a completely cloud hostable in a subscription. So enables even very small startups, to build that experience into their website and into their products, from the very beginning, at a cost efficient point. So if you want to stand up a compliant website or you want to build into your product that Trust Access Consent Solution, we have a SAS platform, and we have developer tools and our developer portal to let you do it quickly. The second thing we do is we have a privacy operations manager. So this is the most security center but for privacy operations. It helps you inventory your systems, actually create data flow maps and most critically create compliance records that you need to comply with, you know the European law, the Brazilian law, and that whole spectrum of U.S. privacy laws that you showed a few minutes ago. And those are the two core offerings we have. >> I love it. I mean, it's the cloud story, right? One is you don't have to spend a millions of dollars on hardware and software. And the second is, when you launch you enable small companies, not just the biggest companies you give them the same, essentially the same services. And that's a great story. Who do you sell to Justin? What does a typical customer engagement look? >> Yeah, we, in many of our customers and in the AWS say startup environment, you often don't have companies that have like a privacy officer. They often don't even have a general counsel. So we sell a package that will often go to whoever is responsible at the company for privacy compliance. And, you know, interestingly Dave in some startups that might be a marketing officer, it might be a CLO, it might be the CTO. So in startups and sort of growing companies, we've put out a lot of guidance, and our core WireWheel developer portal is meant to give even a startup all they need to stand up that experience and get it going, so that when you get that procurement imagine you're about to go sell your product, and they ask you, are you compliant, then you have that document ready to provide. We also do provide this core infrastructure for enormous enterprises. So think telecoms, think top three global technology companies. So Dave, we get excited about is we've built a core software platform privacy infrastructure that is permanently being used by some of the largest companies in the world. And our goal is to get that infrastructure at the right price point into every company in the world, right? We want to enable any company to spend and stand up the right system, that's leveraging that same privacy infrastructure that the big folks have, so that as they scale, they can continue to do the right thing. >> That's awesome. I mean, you mentioned a number of roles of marketing folks. I can even see a sales, let's say sales lead saying, okay we got this deal on the table. How do we get through the procurement because we didn't check the box, all right. So, let me ask you this. We talked a little bit about designing privacy in a and it's clear you help do that. How do you make it, you know fundamental to customer's workloads? Do they have to be like an AWS customer to take advantage of that concept? Or how did they make it part of their workflow? >> Yeah, so there's a couple of critical things. How do you make it part of the workflow? The first thing is, you go to any company's website right now, they have to be compliant with the California law. So a very straightforward thing we do is we can for both B2B and B2C companies stand up an entire customer experience that matches the scale of the company that enables it to be compliant. That means you have a trust center that shows the right information to your customers, it collects the consents, preferences, and it stands up with a portal to request data. These are basics. And for a company that's standing up the internal operations, we can get them app collecting that core record and create a compliance record very fast. With larger companies, Dave you're right. I mean, when you're talking about understanding your entire infrastructure and understanding where you're storing and processing data it could seem overwhelming, but the truth is, the way we onboard our customers is we get you compliance on your product and website first, right? We focus on your product to get that compliance record done. We focus on your website so that you can sell your product. And then we go through the rest of the major systems where you're handling personal information, your sales, your marketing, you know, it's like a natural process. So larger enterprises we have a pretty straightforward way that we get them up and running, but even small startups we can get them to a point of getting them compliant and starting to think about other things very, very quickly. >> And so Justin, you're a government so you understand big, but how I talk about the secret ingredient that allows you to do this at scale and still handle all that diversity, like what we showed in that graphic, the different locations, different local laws, data sovereignty, et cetera. >> Yeah, there's a couple things on the secret source. One is, we have to think about our customers every day. And we had to understand that companies will use whatever their infrastructure is to build. Like you've seen, even on AWS there are so many different services you can use. So number one, we always think with an engineering point of view in mind. Understand the tools, understand the infrastructure in a way that brings that kind of basic visibility to whoever it is that's handling privacy, that basic understanding. The second is, we focused on core user experience for the non-technical user. It's really easy to get started. It's really easy to stand up your privacy page and your privacy policy. It's really easy to collect that and make that first record. The third is, and you know, this is one of those key things. When I was in the government, I met with folks in the intelligence community at one point day, and this always stuck with me. They were telling me that 20 years ago, you know to do the kind of innovation that you have going on now, you would have had to have had a defense contract. You would have had to have invested an enormous amount of money to buy the processing and the services and the team. But the ability for me as a startup founder, to understand the big picture and understand that companies need to be compliant fast, get their website compliant fast, get their product compliant fast, but build on a cloud infrastructure that allowed me to scale was incredible. Because it allows us to do a lot with our customers that a company like ours would have been really challenged to do without that cloud backbone. >> Love this, the agility and the innovation. Last question, give us the company update Justin, you know where are you? What can you share with us, fundraising, head count, are you generating revenue? Where you are? >> Oh yeah, we're excited as I mentioned, we are already the privacy platform of choice of some of the larger brands in the world, which we're very excited about. And we help them solve both the trust, access consent problem for their customers, and we help with the privacy operations management. We recently announced a new $20 million infusion of capital, led by a terrific venture capital fund, ForgePoint Capital. We've been lucky to have been supported by NEA, Sands Capital, Revolution Capital, Pritzker Capital, PSP. And so we have a terrific group of investors behind us. We are scaling, we've grown the company a lot in the last year. Obviously it's been an interesting and challenging year with COVID, but we are really focused on growing our sales team, our marketing team, and we're going to be offering some pretty exciting solutions here for the rest of the year. >> The timing was unbelievable, you had the cloud at your beck and call, you had the experience in government. You've got your background as a lawyer. And it all came in, and the legal come into the forefront of public policy, just a congratulations on all your progress today. We're really looking forward to seeing you guys rocket in the future. I really appreciate you coming on. >> Dave, thanks so much for having me, really enjoyed it. And I look forward to seeing you soon. >> Great, and thank you for watching everyone is Dave Vellante for theCUBE on cloud startups. Keep it right there. (upbeat music)

(upbeat music) >> We're here theCUBE on Cloud Startup Showcase brought to you by AWS. And right now we're going to explore the next frontier for privacy, you know, security, privacy, and compliance, they're often lumped together and they're often lumped on as an afterthought bolted on to infrastructure, data and applications. But, you know, while they're certainly related they're different disciplines and they require a specific domain knowledge and expertise to really solve the challenges of today. One thing they all share is successful implementations, must be comprehensive and designed in at the start and with me to discuss going beyond compliance and designing privacy protections into products and services. Justin Antonipillai, who is the founder and CEO of WireWheel, Justin awesome having you on the AWS Startup Showcase. Thanks for being here >> Dave, thanks so much for having me. It's a real honor, and I appreciate it. Look forward to the discussion. >> So I always love to ask founders, like, take us back. Why did you start this company? Where did your inspiration come from? >> So Dave, I was very lucky. I had the honor of serving in president Obama's second term as an Acting Under Secretary for Economic Affairs. So I ran the part of the government that includes the U.S. Census Bureau and the Bureau of Economic Analysis. So core economic statistical bureaus. But I helped lead a lot of the Obama administration's, outreach and negotiations on data privacy around the world. Including on something called the EU-U.S. Privacy Shield. So at the time the two jobs I had really aligned with what our discussion is here today. The first part of it was, I could see that all around the world in the U.S. and around the world, data privacy and protecting privacy, had become a human rights issue. It was a trade issue. You could see it as a national security issue and companies all around the world were just struggling with how to get legal, how to make sure that I do it right, and how I make sure that I'm treating my customer's data, in the right way. But when I was also leading the agency, a lot of what we were trying to do was to help our U.S. citizens, our folks here around the country solve big public problems by ethically and responsibly using government data to do it. And I can talk about what that meant in a little while. So the inspiration behind why WireWheel was, we need better more technically driven ways to help companies get compliance, to show their customers that they're protecting privacy and to put customers, our customers onto a path where they can start using the customer data better, faster and stronger, but most importantly, ethically. And that's really what we try to tackle at WireWheel. >> Right, excellent. Thank you for that. I mean, yeah you know, in the early days of social media, people kind of fluffed it off and oh there is no privacy in the internet, blah, blah, blah. And then wow, it became a huge social issue and public policy really needed to step in but also technology needs this to help solve this problem. So let's try to paint a picture for people as to really dig into the problem that you solve and why it's so complicated. We actually have a graphic. It's a map of the U S that we want to pull up here. Explain this. >> Yeah, I mean, what you're saying here is that every one of your, our viewers today is going to be looking at privacy laws moving across the country Dave but there's a lot of different ones. You know, if you're a company that's launching and building your product, that you might be helping your customers your consumer facing. The law, and you're even let's assume you want to do the right thing. You want to treat that customer data responsibly and protect it. When you look at a map like this and you can see three States have already passed different privacy laws, but look at the number of different States all across the country that are considering their own privacy laws. It really could be overwhelming. And Virginia, as you can see is just about to pass it's next privacy law but there's something like 23,24 States that are moving them through. The other thing Dave, that's really important about this is, these are not just breach laws. You know, I think years ago we were all looking at these kinds of laws spreading across the country and you would be saying, okay, that's just a breach law. These laws are very comprehensive. They have a lot to them. So what we have been really helping companies with is to enable you to get compliant with a lot of these very quickly. And that's really what we've tried to take on. Because if you're trying to do the right thing there should be a way to do it. >> Got it. Yeah, I can't even imagine what the it had been so many permutations and complexities but imagine this, if this were a globe we were looking at it says it gets out of control. Okay, now you guys well you use a term called phrase beyond compliance? What do we mean by that? >> There are a couple of things. So I'd say almost every company taking a product to market right now, whether you're B2C or B2B you want to make sure you can answer the customer question and say, yes, I'm compliant. And usually that means if you're a B2C company it means that your customers can come to your site. Your site is compliant with all of the laws out there. You can take consents and preferences. You can get their data back to them. All of these are legal requirements. If you're a B2B company, you're also looking at making sure you can create some critical compliance records that's it, right? But when we think beyond compliance, we think of a couple of basic things. Number one, do you tell the story about all the trust and protection you put around your data in a way that your customers want to do business with you? I mean Dave, if you went to CES the last couple of years and you were walking into the center or looking at a virtual version of it, on every billboard, the top five, top 10 global companies advertise that they take care of your data and they're onto something, they're onto something. You can actually build a winning strategy by solving a customer's problem and also showing them that you care, and that they're trustworthy. Because there are too many products out there, that aren't. The second thing, I'm sorry, go ahead. >> No, please carry on. >> No, I mean the second thing, and then I think I'd say is going beyond compliance also means that you're thinking about how you can use that data for your customer, to solve all of their problems. And Dave, what I'd say here is imagine a world right now, in which, you know you trusted that the data that you gave to companies or to the government, was protected and that if you changed your mind and you wanted it back that they would delete it or give it back to you. Can you imagine how much more quickly we would have solved getting a COVID vaccine? Can you imagine how much data would have been available to pharmaceutical companies to actually develop a vaccine? Can you imagine how much more quickly we would have opened the economy? The thing is companies can't solve every problem that they could for a customer because customers don't trust that the data is going to be used correctly and companies don't know how to use it in that way and ethically. And that's what we're talking about when we say getting beyond compliance which is we want to enable our customers to use the data in the best way and most ethical way to solve all of their customer's problems. >> Okay, so I ask the elephant in the room question. If you asked most businesses about personal information, where it's stored, you know who has access to it, the fact is that most people can't answer it. And so when they're confronted with these uncomfortable questions. The other documents and policies that maybe check some boxes, why is that not a good idea? I mean, there's an expense to going beyond that but so why is that not just a good idea to check it off? >> Well look, a lot of companies do need to just check it off and what I mean, get it right, make sure you label and the way we've thought about this is that when you're building on a backbone like AWS, it does give you the ability to buy a lot of services quickly and scale with your company. But it also gives us an ability to comply faster by leveraging that infrastructure to get compliant faster. So if you think about it, 20 years ago whenever I wanted to buy storage or if I wanted to buy servers and look we're a company that built in the cloud, Dave it would have been very difficult for us to buy the right storage and the processing we needed, given that we were starting. But I was able to buy very small amounts of it until our customer profile grew. But that also means my data moved out of a single hard drive and out of a single set of servers, into other places that are hosted in the cloud. So the entire tech stack that all of our customers are building on means they're distributing personal data into the cloud, into SAS platforms. And there's been a really big move through integration platforms as a service to allow you to spread the personal data quickly. But that same infrastructure can be used to also get you compliant faster, and that's the differentiation. So we built a platform that enables a company to inventory their systems, to track what they're doing in those systems and to both create a compliance record faster by tracking what they're doing inside the cloud and in SAS systems. And that's the different way we've been thinking about it as we've been going to market. >> So, okay. So what actually do you sell, you sell a service? Is it a subscription? >> Yeah. >> And AWS is underneath that, maybe you could put down a picture for us. >> Sure, we're a cloud hosted software as a service. We have two core offerings. One is the WireWheel Trust Access Consent Solution. So if you go to a number of major brands, and you go to their website, when they tell you here's the data we're collecting about you, when they collect your consents and preferences, when they collect a request for data correction or deletion of the data, all the way from the request to delivery back to the consumer, we have an end to end system that our customers use with their customers, a completely cloud hostable in a subscription. So enables even very small startups, to build that experience into their website and into their products, from the very beginning, at a cost efficient point. So if you want to stand up a compliant website or you want to build into your product that Trust Access Consent Solution, we have a SAS platform, and we have developer tools and our developer portal to let you do it quickly. The second thing we do is we have a privacy operations manager. So this is the most security center but for privacy operations. It helps you inventory your systems, actually create data flow maps and most critically create compliance records that you need to comply with, you know the European law, the Brazilian law, and that whole spectrum of U.S. privacy laws that you showed a few minutes ago. And those are the two core offerings we have. >> I love it. I mean, it's the cloud story, right? One is you don't have to spend a millions of dollars on hardware and software. And the second is, when you launch you enable small companies, not just the biggest companies you give them the same, essentially the same services. And that's a great story. Who do you sell to Justin? What does a typical customer engagement look? >> Yeah, we, in many of our customers and in the AWS say startup environment, you often don't have companies that have like a privacy officer. They often don't even have a general counsel. So we sell a package that will often go to whoever is responsible at the company for privacy compliance. And, you know, interestingly Dave in some startups that might be a marketing officer, it might be a CLO, it might be the CTO. So in startups and sort of growing companies, we've put out a lot of guidance, and our core WireWheel developer portal is meant to give even a startup all they need to stand up that experience and get it going, so that when you get that procurement imagine you're about to go sell your product, and they ask you, are you compliant, then you have that document ready to provide. We also do provide this core infrastructure for enormous enterprises. So think telecoms, think top three global technology companies. So Dave, we get excited about is we've built a core software platform privacy infrastructure that is permanently being used by some of the largest companies in the world. And our goal is to get that infrastructure at the right price point into every company in the world, right? We want to enable any company to spend and stand up the right system, that's leveraging that same privacy infrastructure that the big folks have, so that as they scale, they can continue to do the right thing. >> That's awesome. I mean, you mentioned a number of roles of marketing folks. I can even see a sales, let's say sales lead saying, okay we got this deal on the table. How do we get through the procurement because we didn't check the box, all right. So, let me ask you this. We talked a little bit about designing privacy in a and it's clear you help do that. How do you make it, you know fundamental to customer's workloads? Do they have to be like an AWS customer to take advantage of that concept? Or how did they make it part of their workflow? >> Yeah, so there's a couple of critical things. How do you make it part of the workflow? The first thing is, you go to any company's website right now, they have to be compliant with the California law. So a very straightforward thing we do is we can for both B2B and B2C companies stand up an entire customer experience that matches the scale of the company that enables it to be compliant. That means you have a trust center that shows the right information to your customers, it collects the consents, preferences, and it stands up with a portal to request data. These are basics. And for a company that's standing up the internal operations, we can get them app collecting that core record and create a compliance record very fast. With larger companies, Dave you're right. I mean, when you're talking about understanding your entire infrastructure and understanding where you're storing and processing data it could seem overwhelming, but the truth is, the way we onboard our customers is we get you compliance on your product and website first, right? We focus on your product to get that compliance record done. We focus on your website so that you can sell your product. And then we go through the rest of the major systems where you're handling personal information, your sales, your marketing, you know, it's like a natural process. So larger enterprises we have a pretty straightforward way that we get them up and running, but even small startups we can get them to a point of getting them compliant and starting to think about other things very, very quickly. >> And so Justin, you're a government so you understand big, but how I talk about the secret ingredient that allows you to do this at scale and still handle all that diversity, like what we showed in that graphic, the different locations, different local laws, data sovereignty, et cetera. >> Yeah, there's a couple things on the secret source. One is, we have to think about our customers every day. And we had to understand that companies will use whatever their infrastructure is to build. Like you've seen, even on AWS there are so many different services you can use. So number one, we always think with an engineering point of view in mind. Understand the tools, understand the infrastructure in a way that brings that kind of basic visibility to whoever it is that's handling privacy, that basic understanding. The second is, we focused on core user experience for the non-technical user. It's really easy to get started. It's really easy to stand up your privacy page and your privacy policy. It's really easy to collect that and make that first record. The third is, and you know, this is one of those key things. When I was in the government, I met with folks in the intelligence community at one point day, and this always stuck with me. They were telling me that 20 years ago, you know to do the kind of innovation that you have going on now, you would have had to have had a defense contract. You would have had to have invested an enormous amount of money to buy the processing and the services and the team. But the ability for me as a startup founder, to understand the big picture and understand that companies need to be compliant fast, get their website compliant fast, get their product compliant fast, but build on a cloud infrastructure that allowed me to scale was incredible. Because it allows us to do a lot with our customers that a company like ours would have been really challenged to do without that cloud backbone. >> Love this, the agility and the innovation. Last question, give us the company update Justin, you know where are you? What can you share with us, fundraising, head count, are you generating revenue? Where you are? >> Oh yeah, we're excited as I mentioned, we are already the privacy platform of choice of some of the larger brands in the world, which we're very excited about. And we help them solve both the trust, access consent problem for their customers, and we help with the privacy operations management. We recently announced a new $20 million infusion of capital, led by a terrific venture capital fund, ForgePoint Capital. We've been lucky to have been supported by NEA, Sands Capital, Revolution Capital, Pritzker Capital, PSP. And so we have a terrific group of investors behind us. We are scaling, we've grown the company a lot in the last year. Obviously it's been an interesting and challenging year with COVID, but we are really focused on growing our sales team, our marketing team, and we're going to be offering some pretty exciting solutions here for the rest of the year. >> The timing was unbelievable, you had the cloud at your beck and call, you had the experience in government. You've got your background as a lawyer. And it all came in, and the legal come into the forefront of public policy, just a congratulations on all your progress today. We're really looking forward to seeing you guys rocket in the future. I really appreciate you coming on. >> Dave, thanks so much for having me, really enjoyed it. And I look forward to seeing you soon. >> Great, and thank you for watching everyone is Dave Vellante for theCUBE on cloud startups. Keep it right there. (upbeat music)

>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a CUBE conversation. >> As you know by now, Jeff Bezos, CEO of Amazon, is stepping aside from his CEO role and AWS CEO, Andy Jassy, is being promoted to head all of Amazon. Bezos, of course, is going to remain executive chairman. Now, 15 years ago, next month, Amazon launched it's simple storage service, which was the first modern cloud offering. And the man who wrote the business plan for AWS, was Andy Jassy, and he's navigated the meteoric rise and disruption that has seen AWS grow into a $45 billion company that draws off the vast majority of Amazon's operating profits. No one in the media has covered Jassy more intimately and closely than John Furrier, the founder of SiliconANGLE. And John joins us today to help us understand on theCUBE this move and what we can expect from Jassy in his new role, and importantly what it means for AWS. John, thanks for taking the time to speak with us. >> Hey, great day. Great to see you as always, we've done a lot of interviews together over the years and we're on our 11th year with theCUBE and SiliconANGLE. But I got to be excited too, that we're simulcasters on Clubhouse, which is kind of cool. Love Clubhouse but not since the, in December. It's awesome. It's like Cube radio. It's like, so this is a Cube talk. So we opened up a Clubhouse room while we're filming this. We'll do more live hits in studio and syndicate the Clubhouse and then take questions after. This is a huge digital transformation moment. I'm part of the digital transformation club on Clubhouse which has almost 5,000 followers at the moment and also has like 500 members. So if you're not on Clubhouse, yet, if you have an iPhone go check it out and join the digital transformation club. Android users you'll have to wait until that app is done but it's really a great club. And Jeremiah Owyang is also doing a lot of stuff on digital transformation. >> Or you can just buy an iPhone and get in. >> Yeah, that's what people are doing. I can see all the influences are on there but to me, the digital transformation, it's always been kind of a cliche, the consumerization of IT, information technology. This has been the boring world of the enterprise over the past, 20 years ago. Enterprise right now is super hot because there's no distinction between enterprise and society. And that's clearly the, because of the rise of cloud computing and the rise of Amazon Web Services which was a side project at AWS, at Amazon that Andy Jassy did. And it wasn't really pleasant at the beginning. It was failed. It failed a lot and it wasn't as successful as people thought in the early days. And I have a lot of stories with Andy that he told me a lot of the inside baseball and we'll share that here today. But we started covering Amazon since the beginning. I was as an entrepreneur. I used it when it came out and a huge fan of them as a company because they just got a superior product and they have always had been but it was very misunderstood from the beginning. And now everyone's calling it the most important thing. And Andy now is becoming Andy Jassy, the most important executive in the world. >> So let's get it to the, I mean, look at, you said to me over holidays, you thought this might have something like this could happen. And you said, Jassy is probably in line to get this. So, tell us, what can you tell us about Jassy? Why is he qualified for this job? What do you think he brings to the table? >> Well, the thing that I know about Amazon everyone's been following the Amazon news is, Jeff Bezos has a lot of personal turmoil. They had his marriage fail. They had some issues with the smear campaigns and all this stuff going on, the run-ins with Donald Trump, he bought the Washington post. He's got a lot of other endeavors outside of Amazon cause he's the second richest man in the world competing with Elon Musk at Space X versus Blue Origin. So the guy's a billionaire. So Amazon is his baby and he's been running it as best he could. He's got an executive team committee they called the S team. He's been grooming people in the company and that's just been his mode. And the rise of AWS and the business performance that we've been documenting on SiliconANGLE and theCUBE, it's just been absolutely changing the game on Amazon as a company. So clearly Amazon Web Services become a driving force of the new Amazon that's emerging. And obviously they've got all their retail business and they got the gaming challenges and they got the studios and the other diversified stuff. So Jassy is just, he's just one of those guys. He's just been an Amazonian from day one. He came out of Harvard business school, drove across the country, very similar story to Jeff Bezos. He did that in 1997 and him and Jeff had been collaborating and Jeff tapped him to be his shadow, they call it, which is basically technical assistance and an heir apparent and groomed him. And then that's how it is. Jassy is not a climber as they call it in corporate America. He's not a person who is looking for a political gain. He's not a territory taker, but he's a micromanager. He loves details and he likes to create customer value. And that's his focus. So he's not a grandstander. In fact, he's been very low profile. Early days when we started meeting with him, he wouldn't meet with press regularly because they weren't writing the right stories. And everyone is, he didn't know he was misunderstood. So that's classic Amazon. >> So, he gave us the time, I think it was 2014 or 15 and he told us a story back then, John, you might want to share it as to how AWS got started. Why, what was the main spring Amazon's tech wasn't working that great? And Bezos said to Jassy, going to go figure out why and maybe explain how AWS was born. >> Yeah, we had, in fact, we were the first ones to get access to do his first public profile. If you go to the Google and search Andy Jassy, the trillion dollar baby, we had a post, we put out the story of AWS, Andy Jassy's trillion dollar baby. This was in early, this was January 2015, six years ago. And, we back then, we posited that this would be a trillion dollar total addressable market. Okay, people thought we were crazy but we wrote a story and he gave us a very intimate access. We did a full drill down on him and the person, the story of Amazon and that laid out essentially the beginning of the rise of AWS and Andy Jassy. So that's a good story to check out but really the key here is, is that he's always been relentless and competitive on creating value in what they call raising the bar outside Amazon. That's a term that they use. They also have another leadership principle called working backwards, which is like, go to the customer and work backwards from the customer in a very Steve Job's kind of way. And that's been kind of Jobs mentality as well at Apple that made them successful work backwards from the customer and make things easier. And that was Apple. Amazon, their philosophy was work backwards from the customer and Jassy specifically would say it many times and eliminate the undifferentiated heavy lifting. That was a key principle of what they were doing. So that was a key thesis of their entire business model. And that's the Amazonian way. Faster, cheaper, ship it faster, make it less expensive and higher value. While when you apply the Amazon shipping concept to cloud computing, it was completely disrupted. They were shipping code and services faster and that became their innovation strategy. More announcements every year, they out announced their competition by huge margin. They introduced new services faster and they're less expensive some say, but in the aggregate, they make more money but that's kind of a key thing. >> Well, when you, I was been listening to the TV today and there was a debate on whether or not, this support tends that they'll actually split the company into two. To me, I think it's just the opposite. I think it's less likely. I mean, if you think about Amazon getting into grocery or healthcare, eventually financial services or other industries and the IOT opportunity to me, what they do, John, is they bring in together the cloud, data and AI and they go attack these new industries. I would think Jassy of all people would want to keep this thing together now whether or not the government allows them to do that. But what are your thoughts? I mean, you've asked Andy this before in your personal interviews about splitting the company. What are your thoughts? >> Well, Jon Fortt at CNBC always asked the same question every year. It's almost like the standard question. I kind of laugh and I ask it now too because I liked Jon Fortt. I think he's an awesome dude. And I'll, it's just a tongue in cheek, Jassy. He won't answer the question. Amazon, Bezos and Jassy have one thing in common. They're really good at not answering questions. So if you ask the same question. They'll just say, nothing's ever, never say never, that's his classic answer to everything. Never say never. And he's always said that to you. (chuckles) Some say, he's, flip-flopped on things but he's really customer driven. For example, he said at one point, no one should ever build a data center. Okay, that was a principle. And then they come out and they have now a hybrid strategy. And I called them out on that and said, hey, what, are you flip-flopping? You said at some point, no one should have a data center. He's like, well, we looked at it differently and what we meant was is that, it should all be cloud native. Okay. So that's kind of revision, but he's cool with that. He says, hey, we'll revise based on what customers are doing. VMware working with Amazon that no one ever thought that would happen. Okay. So, VMware has some techies, Raghu, for instance, over there, super top notch. He worked with Jassy, directly in his team Sanjay Poonen when they went to business school together, they cut a deal. And now Amazon essentially saved VMware, in my opinion. And Pat Gelsinger drove that deal. Now, Pat Gelsinger, CEO, Intel, and Pat told me that directly in candid conversation off theCUBE, he said, hey, we have to make a decision either we're going to be in cloud or we're not going to be in cloud, we will partner. And I'll see, he was Intel. He understood the Intel inside mentality. So that's good for VMware. So Jassy does these kinds of deals. He's not afraid he's got a good stomach for business and a relentless competitor. >> So, how do you think as you mentioned Jassy is a micromanager. He gets deep into the technology. Anybody who's seen his two hour, three hour keynotes. No, he has a really fine grasp of the technology across the entire stack. How do you think John, he will approach things like antitrust, the big tech lash of the unionization of the workforce at Amazon? How do you think Jassy will approach that? >> Well, I think one of the things that emerges Jassy, first of all, he's a huge sports fan. And many people don't know that but he's also progressive person. He's very progressive politically. He's been on the record and off the record saying things like, obviously, literacy has been big on, he's been on basically unrepresented minorities, pushing for that, and certainly cloud computing in tech, women in tech, he's been a big proponent. He's been a big supporter of Teresa Carlson. Who's been rising star at Amazon. People don't know who Teresa Carlson is and they should check out her. She's become one of the biggest leaders inside Amazon she's turned around public sector from the beginning. She ran that business, she's a global star. He's been a great leader and he's been getting, forget he's a micromanager, he's on top of the details. I mean, the word is, and nothing gets approved without Andy, Andy seeing it. But he's been progressive. He's been an Amazon original as they call it internally. He's progressive, he's got the business acumen but he's perfect for this pragmatic conversation that needs to happen. And again, because he's so technically strong having a CEO that's that proficient is going to give Amazon an advantage when they have to go in and change how DC works, for instance, or how the government geopolitical landscape works, because Amazon is now a global company with regions all over the place. So, I think he's pragmatic, he's open to listening and changing. I think that's a huge quality >> Well, when you think of this, just to set the context here for those who may not know, I mean, Amazon started as I said back in 2006 in March with simple storage service that later that year they announced EC2 which is their compute platform. And that was the majority of their business, is still a very large portion of their business but Amazon, our estimates are that in 2020, Amazon did 45 billion, 45.4 billion in revenue. That's actually an Amazon reported number. And just to give you a context, Azure about 26 billion GCP, Google about 6 billion. So you're talking about an industry that Amazon created. That's now $78 billion and Amazon at 45 billion. John they're growing at 30% annually. So it's just a massive growth engine. And then another story Jassy told us, is they, he and Jeff and the team talked early on about whether or not they should just sort of do an experiment, do a little POC, dip their toe in and they decided to go for it. Let's go big or go home as Michael Dell has said to us many times, I mean, pretty astounding. >> Yeah. One of the things about Jassy that people should know about, I think there's some compelling relative to the newest ascension to the CEO of Amazon, is that he's not afraid to do new things. For instance, I'll give you an example. The Amazon Web Services re-invent their annual conference grew to being thousands and thousands of people. And they would have a traditional after party. They called a replay, they'd have a band like every tech conference and their conference became so big that essentially, it was like setting up a live concert. So they were spending millions of dollars to set up basically a one night concert and they'd bring in great, great artists. So he said, hey, what's been all this cash? Why don't we just have a festival? So they did a thing called Intersect. They got LA involved from creatives and they basically built a weekend festival in the back end of re-invent. This was when real life was, before COVID and they turned into an opportunity because that's the way they think. They like to look at the resources, hey, we're already all in on this, why don't we just keep it for the weekend and charge some tickets and have a good time. He's not afraid to take chances on the product side. He'll go in and take a chance on a new market. That comes from directly from Bezos. They try stuff. They don't mind failing but they put a tight leash on measurement. They work backwards from the customer and they are not afraid to take chances. So, that's going to board well for him as he tries to figure out how Amazon navigates the contention on the political side when they get challenged for their dominance. And I think he's going to have to apply that pragmatic experimentation to new business models. >> So John I want you to take on AWS. I mean, despite the large numbers, I talked about 30% growth, Azure is growing at over 50% a year, GCP at 83%. So despite the large numbers and big growth the growth rates are slowing. Everybody knows that, we've reported it extensively. So the incoming CEO of Amazon Web Services has a TAM expansion challenge. And at some point they've got to decide, okay, how do we keep this growth engine? So, do you have any thoughts as to who might be the next CEO and what are some of their challenges as you see it? >> Well, Amazon is a real product centric company. So it's going to be very interesting to see who they go with here. Obviously they've been grooming a lot of people. There's been some turnover. You had some really strong executives recently leave, Jeff Wilkes, who was the CEO of the retail business. He retired a couple of months ago, formerly announced I think recently, he was probably in line. You had Mike Clayville, is now the chief revenue officer of Stripe. He ran all commercial business, Teresa Carlson stepped up to his role as well as running public sector. Again, she got more power. You have Matt Garman who ran the EC2 business, Stanford grad, great guy, super strong on the product side. He's now running all commercial sales and marketing. And he's also on the, was on Bezos' S team, that's the executive kind of team. Peter DeSantis is also on that S team. He runs all infrastructure. He took over for James Hamilton, who was the genius behind all the data center work that they've done and all the chip design stuff that they've innovated on. So there's so much technical innovation going on. I think you still going to see a leadership probably come from, I would say Matt Garman, in my opinion is the lead dog at this point, he's the lead horse. You could have an outside person come in depending upon how, who might be available. And that would probably come from an Andy Jassy network because he's a real fierce competitor but he's also a loyalist and he likes trust. So if someone comes in from the outside, it's going to be someone maybe he trusts. And then the other wildcards are like Teresa Carlson. Like I said, she is a great woman in tech who's done amazing work. I've profiled her many times. We've interviewed her many times. She took that public sector business with Amazon and changed the game completely. Outside the Jedi contract, she was in competitive for, had the big Trump showdown with the Jedi, with the department of defense. Had the CIA cloud. Amazon set the standard on public sector and that's directly the result of Teresa Carlson. But she's in the field, she's not a product person, she's kind of running that group. So Amazon has that product field kind of structure. So we'll see how they handle that. But those are the top three I think are going to be in line. >> So the obvious question that people always ask and it is a big change like this is, okay, in this case, what is Jassy going to bring in? And what's going to change? Maybe the flip side question is somewhat more interesting. What's not going to change in your view? Jassy has been there since nearly the beginning. What are some of the fundamental tenets that he's, that are fossilized, that won't change, do you think? >> I think he's, I think what's not going to change is Amazon, is going to continue to grow and develop their platform business and enable more SaaS players. That's a little bit different than what Microsoft's doing. They're more SaaS oriented, Office 365 is becoming their biggest application in terms of revenue on Microsoft side. So Amazon is going to still have to compete and enable more ecosystem partners. I think what's not going to change is that Bezos is still going to be in charge because executive chairman is just a code word for "not an active CEO." So in the corporate governance world when you have an executive chairman, that's essentially the person still in charge. And so he'll be in charge, will still be the boss of Andy Jassy and Jassy will be running all of Amazon. So I think that's going to be a little bit the same, but Jassy is going to be more in charge. I think you'll see a team change over, whether you're going to see some new management come in, Andy's management team will expand, I think Amazon will stay the same, Amazon Web Services. >> So John, last night, I was just making some notes about notable transitions in the history of the tech business, Gerstner to Palmisano, Gates to Ballmer, and then Ballmer to Nadella. One that you were close to, David Packard to John Young and then John Young to Lew Platt at the old company. Ellison to Safra and Mark, Jobs to Cook. We talked about Larry Page to Sundar Pichai. So how do you see this? And you've talked to, I remember when you interviewed John Chambers, he said, there is no rite of passage, East coast mini-computer companies, Edson de Castro, Ken Olsen, An Wang. These were executives who wouldn't let go. So it's of interesting to juxtapose that with the modern day executive. How do you see this fitting in to some of those epic transitions that I just mentioned? >> I think a lot of people are surprised at Jeff Bezos', even stepping down. I think he's just been such the face of Amazon. I think some of the poll numbers that people are doing on Twitter, people don't think it's going to make a big difference because he's kind of been that, leader hand on the wheel, but it's been its own ship now, kind of. And so depending on who's at the helm, it will be different. I think the Amazon choice of Andy wasn't obvious. And I think a lot of people were asking the question who was Andy Jassy and that's why we're doing this. And we're going to be doing more features on the Andy Jassy. We got a tons, tons of content that we've we've had shipped, original content with them. We'll share more of those key soundbites and who he is. I think a lot of people scratching their head like, why Andy Jassy? It's not obvious to the outsiders who don't know cloud computing. If you're in the competing business, in the digital transformation side, everyone knows about Amazon Web Services. Has been the most successful company, in my opinion, since I could remember at many levels just the way they've completely dominated the business and how they change others to be dominant. So, I mean, they've made Microsoft change, it made Google change and even then he's a leader that accepts conversations. Other companies, their CEOs hide behind their PR wall and they don't talk to people. They won't come on Clubhouse. They won't talk to the press. They hide behind their PR and they feed them, the media. Jassy is not afraid to talk to reporters. He's not afraid to talk to people, but he doesn't like people who don't know what they're talking about. So he doesn't suffer fools. So, you got to have your shit together to talk to Jassy. That's really the way it is. And that's, and he'll give you mind share, like he'll answer any question except for the ones that are too tough for him to answer. Like, are you, is facial recognition bad or good? Are you going to spin out AWS? I mean these are the hard questions and he's got a great team. He's got Jay Carney, former Obama press secretary working for him. He's been a great leader. So I'm really bullish on, is a good choice. >> We're going to jump into the Clubhouse here and open it up shortly. John, the last question for you is competition. Amazon as a company and even Jassy specifically I always talk about how they don't really focus on the competition, they focus on the customer but we know that just observing these folks Bezos is very competitive individual. Jassy, I mean, you know him better than I, very competitive individual. So, and he's, Jassy has been known to call out Oracle. Of course it was in response to Larry Ellison's jabs at Amazon regarding database. But, but how do you see that? Do you see that changing at all? I mean, will Amazon get more publicly competitive or they stick to their knitting, you think? >> You know this is going to sound kind of a weird analogy. And I know there's a lot of hero worshiping on Elon Musk but Elon Musk and Andy Jassy have a lot of similarities in the sense of their brilliance. They got both a brilliant people, different kinds of backgrounds. Obviously, they're running different things. They both are builders, right? If you were listening to Elon Musk on Clubhouse the other night, what was really striking was not only the magic of how it was all orchestrated and what he did and how he interviewed Robin Hood. He basically is about building stuff. And he was asked questions like, what advice do you give startups? He's like, if you need advice you shouldn't be doing startups. That's the kind of mentality that Jassy has, which is, it's not easy. It's not for the faint of heart, but Elon Musk is a builder. Jassy builds, he likes to build stuff, right? And so you look at all the things that he's done with AWS, it's been about enabling people to be successful with the tools that they need, adding more services, creating things that are lower price point. If you're an entrepreneur and you're over the age of 30, you know about AWS because you know what, it's cheaper to start a business on Amazon Web Services than buying servers and everyone knows that. If you're under the age of 25, you might not know 50 grand to a hundred thousand just to start something. Today you get your credit card down, you're up and running and you can get Clubhouses up and running all day long. So the next Clubhouse will be on Amazon or a cloud technology. And that's because of Andy Jassy right? So this is a significant executive and he continue, will bring that mindset of building. So, I think the digital transformation, we're in the digital engine club, we're going to see a complete revolution of a new generation. And I think having a new leader like Andy Jassy will enable in my opinion next generation talent, whether that's media and technology convergence, media technology and art convergence and the fact that he digs music, he digs sports, he digs tech, he digs media, it's going to be very interesting to see, I think he's well-poised to be, and he's soft-spoken, he doesn't want the glamorous press. He doesn't want the puff pieces. He just wants to do what he does and he puts his game do the talking. >> Talking about advice at startups. Just a quick aside. I remember, John, you and I when we were interviewing Scott McNealy former CEO of Sun Microsystems. And you asked him advice for startups. He said, move out of California. It's kind of tongue in cheek. I heard this morning that there's a proposal to tax the multi-billionaires of 1% annually not just the one-time tax. And so Jeff Bezos of course, has a ranch in Texas, no tax there, but places all over. >> You see I don't know. >> But I don't see Amazon leaving Seattle anytime soon, nor Jassy. >> Jeremiah Owyang did a Clubhouse on California. And the basic sentiment is that, it's California is not going away. I mean, come on. People got to just get real. I think it's a fad. Yeah. This has benefits with remote working, no doubt, but people will stay here in California, the network affects beautiful. I think Silicon Valley is going to continue to be relevant. It's just going to syndicate differently. And I think other hubs like Seattle and around the world will be integrated through remote work and I think it's going to be much more of a democratizing effect, not a win lose. So that to me is a huge shift. And look at Amazon, look at Amazon and Microsoft. It's the cloud cities, so people call Seattle. You've got Google down here and they're making waves but still, all good stuff. >> Well John, thanks so much. Let's let's wrap and let's jump into the Clubhouse and hear from others. Thanks so much for coming on, back on theCUBE. And many times we, you and I've done this really. It was a pleasure having you. Thanks for your perspectives. And thank you for watching everybody, this is Dave Vellante for theCUBE. We'll see you next time. (soft ambient music)

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Everyone welcome to the cubes Live coverage of AWS reinvent 2020 virtual were virtual this year We are the Cube Virtual I'm your host John for a joint day Volonte for keynote analysis Andy Jassy just delivered his live keynote. This is our live keynote analysis. Dave. Great to see you, Andy Jassy again. You know their eight year covering reinvent their ninth year. We're virtual. We're not in person. We're doing it. >>Great to see you, John. Even though we're 3000 miles apart, we both have the covert here. Do going Happy birthday, my friend. >>Thank you. Congratulations. Five years ago I was 50 and they had the cake on stage and on the floor. There's no floor, this year's virtual and I think one of the things that came out of Andy Jessie's keynote, obviously, you know, I met with him earlier. Telegraph some of these these moves was one thing that surprised me. He came right out of the gate. He acknowledged that social change, the cultural shift. Um, that was interesting but he went in and did his normal end to end. Slew of announcements, big themes around pivoting. And he brought kind of this business school kind of leadership vibe to the table early talking about what people are experiencing companies like ourselves and others around the change and cultural change around companies and leadership. It takes for the cloud. And this was a big theme of reinvent, literally like, Hey, don't hold on to the old And I kept thinking to myself, David, you and I both are Historians of the tech industry remind me of when I was young, breaking into the business, the mainframe guys and gals, they were hugging onto those mainframes as long as they could, and I looked at it like That's not gonna be around much longer. And they kept No, it's gonna be around. This is this is the state of the art, and then the extinction. Instantly this feels like cloud moment, where it's like it's the wake up call. Hey, everyone doing it the old way. You're done. This is it. But you know, this is a big theme. >>Yes. So, I mean, how do you curate 2.5 3 hours of Andy Jassy. So I tried to break it down at the three things in addition to what you just mentioned about him acknowledging the social unrest and and the inequalities, particularly with black people. Uh, but so I had market leadership. And there's some nuance there that if we have time, I'd love to talk about, uh, the feature innovation. I mean, that was the bulk of his presentation, and I was very pleased. I wrote a piece this weekend. As you know, talk about Cloud 2030 and my main focus was the last 10 years about I t transformation the next 10 years. They're gonna be about organizational and business and industry transformation. I saw a lot of that in jazz ces keynote. So you know, where do you wanna go? We've only got a few minutes here, John, >>but let's break. Let's break down the high level theme before we get into the announcement. The thematic part was, it's about reinventing 2020. The digital transformation is being forced upon us. Either you're in the cloud or you're not in the cloud. Either way, you got to get to the cloud for to survive in this post covert error. Um, you heard a lot about redefining compute new chips, custom chips. They announced the deal with Intel, but then he's like we're better and faster on our custom side. That was kind of a key thing, this high idea of computing, I think that comes into play with edge and hybrid. The other thing that was notable was Jessie's almost announcement of redefining hybrid. There's no product announcement, but he was essentially announcing. Hybrid is changed, and he was leaning forward with his definition of redefining what hybrid cloud is. And I think that to me was the biggest, um, signal. And then finally, what got my attention was the absolute overt call out of Microsoft and Oracle, and, you know, suddenly, behind the scenes on the database shift we've been saying for multiple times. Multiple databases in the cloud he laid that out, said there will be no one thing to rule anything. No databases. And he called out Microsoft would look at Microsoft. Some people like cloud wars. Bob Evans, our good friend, claims that Microsoft been number one in the cloud for like like year, and it's just not true right. That's just not number one. He used his revenue a za benchmark. And if you look at Microsoft's revenue, bulk of it is from propped up from Windows Server and Sequel Server. They have Get up in there that's new. And then a bunch of professional services and some eyes and passed. If you look at true cloud revenue, there's not much there, Dave. They're definitely not number one. I think Jassy kind of throws a dagger in there with saying, Hey, if you're paying for licenses mawr on Amazon versus Azure that's old school shenanigans or sales tactics. And he called that out. That, to me, was pretty aggressive. And then So I finally just cove in management stuff. Democratizing machine learning. >>Let me pick up on a couple things. There actually were a number of hybrid announcements. Um, E C s anywhere E k s anywhere. So kubernetes anywhere containers anywhere smaller outposts, new local zones, announced 12 new cities, including Boston, and then Jesse rattle them off and made a sort of a joke to himself that you made that I remembered all 12 because the guy uses no notes. He's just amazing. He's up there for three hours, no notes and then new wavelength zones for for the five g edge. So actually a lot of hybrid announcements, basically, to your point redefining hybrid. Basically, bringing the cloud to the edge of which he kind of redefined the data center is just sort of another edge location. >>Well, I mean, my point was Is that my point is that he Actually, Reid said it needs to be redefined. Any kind of paused there and then went into the announcements. And, you know, I think you know, it's funny how you called out Microsoft. I was just saying which I think was really pivotal. We're gonna dig into that Babel Babel Fish Open source thing, which could be complete competitive strategy, move against Microsoft. But in a way, Dave Jassy is pulling and Amazon's pulling the same move Microsoft did decades ago. Remember, embrace and extend right Bill Gates's philosophy. This is kind of what they're doing. They have embraced hybrid. They have embraced the data center. They're extending it out. You're seeing outpost, You see, five g, You're seeing these I o t edge points. They're putting Amazon everywhere. That was my take away. They call it Amazon anywhere. I think it's everywhere. They want cloud operations everywhere. That's the theme that I see kind of bubbling out there saying, Hey, we're just gonna keep keep doing this. >>Well, what I like about it is and I've said this for a long time now that the edge is gonna be one by developers. And so they essentially taking AWS and the data center is an AP, and they're bringing that data center is an A P I virtually everywhere. As you're saying, I wanna go back to something you said about leadership and Microsoft and the numbers because I've done a lot of homework on this Aziz, you know, And so Jassy made the point. He makes this point a lot that it's not about the the actual growth rate. Yeah, the other guys, they're growing faster. But there were growing from a much larger base and I want to share with you a nuance because he said he talked about how AWS grew incrementally 10 billion and only took him 12 months. I have quarterly forecast and I've published these on Wiki Bond, a silicon angle. And if you look at the quarterly numbers and now this is an estimate, John. But for Q four, I've got Amazon growing at 25%. That's a year on year as you're growing to 46% and Google growing at 50% 58%. So Google and and Azure much, much higher growth rates that than than Amazon. But what happens when you look at the absolute numbers? From Q three to Q four, Amazon goes from 11.6 billion to 12.4 billion. Microsoft actually stays flat at around 6.76 point eight billion. Google actually drops sequentially. Now I'm talking about sequentially, even though they have 58% growth. So the point of the Jazz is making is right on. He is the only company growing at half the growth rate year on year, but it's sequential. Revenues are the only of the Big Three that are growing, so that's the law of large numbers. You grow more slowly, but you throw off more revenue. Who would you rather be? >>I think I mean, it's clearly that Microsoft's not number one. Amazon's number one cloud certainly infrastructure as a service and pass major themes in the now so we won't go through. We're digging into the analyst Sessions would come at two o'clock in three o'clock later, but they're innovating on those two. They want they one that I would call this member. Jasio says, Oh, we're in the early innings Inning one is I as and pass. Amazon wins it all. They ran the table, No doubt. Now inning to in the game is global. I t. That was a really big part of the announcement. People might have missed that. If you if you're blown away by all the technical and complexity of GP three volumes for EBS and Aurora Surveillance V two or sage maker Feature store and Data Wrangler Elastic. All that all that complex stuff the one take away is they're going to continue to innovate. And I, as in past and the new mountain that they're gonna Klima's global I t spin. That's on premises. Cloud is eating the world and a W s is hungry for on premises and the edge. You're going to see massive surge for those territories. That's where the big spend is gonna be. And that's why you're seeing a big focus on containers and kubernetes and this kind of connective tissue between the data machine layer, modern app layer and full custom. I as on the on the bottom stack. So they're kind of just marching along to the cadence of, uh, Andy Jassy view here, Dave, that, you know, they're gonna listen to customers and keep sucking it in Obama's well and pushing it out to the edge. And and we've set it on the Cube many years. The data center is just a big edge. And that's what Jassy is basically saying here in the keynote. >>Well, and when when Andy Jassy gets pushed on Well, yes, you listen to customers. What about your partners? You know, he'll give examples of partners that are doing very well. And of course we have many. But as we've often said in the Cube, John, if you're a partner in the ecosystem, you gotta move fast. There were three interesting feature announcements that I thought were very closely related to other things that we've seen before. The high performance elastic block storage. I forget the exact name of it, but SAN in a cloud the first ever SAN in the cloud it reminds me of something that pure storage did last year and accelerate so very, very kind of similar. And then the aws glue elastic views. It was sort of like snowflake's data cloud. Now, of course, AWS has many, many more databases that they're connecting, You know, it, uh, stuff like as one. But the way AWS does it is they're copying and moving data and doing change data management. So what snowflake has is what I would consider a true global mesh. And then the third one was quicksight que That reminded me of what thought spots doing with search and analytics and AI. So again, if you're an ecosystem partner, you gotta move fast and you've got to keep innovating. Amazon's gonna do what it has to for customers. >>I think Amazon's gonna have their playbooks when it's all said and done, you know, Do they eat the competition up? I think what they do is they have to have the match on the Amazon side. They're gonna have ah, game and play and let the partners innovate. They clearly need that ecosystem message. That's a key thing. Um, love the message from them. I think it's a positive story, but as you know it's Amazons. This is their Kool Aid injection moment, David. Educational or a k A. Their view of the world. My question for you is what's your take on what wasn't said If you were, you know, as were in the virtual audience, what should have been talk about? What's the reality? What's different? What didn't they hit home? What could they have done? What, your critical analysis? >>Well, I mean, I'm not sure it should have been said, but certainly what wasn't said is the recognition that multi cloud is an opportunity. And I think Amazon's philosophy or belief at the current time is that people aren't spreading workloads, same workload across multiple clouds and splitting them up. What they're doing is they're hedging bets. Maybe they're going 70 30 90 10, 60 40. But so multi cloud, from Amazon standpoint is clearly not the opportunity that everybody who doesn't have a cloud or also Google, whose no distant third in cloud says is a huge opportunity. So it doesn't appear that it's there yet, so that was I wouldn't call it a miss, but it's something that, to me, was a take away that Amazon does not currently see that there's something that customers are clamoring for. >>There's so many threads in here Were unpacked mean Andy does leave a lot of, you know, signature stories that lines in there. Tons of storylines. You know, I thought one thing that that mass Amazon's gonna talk about this is not something that promotes product, but trend allies. I think one thing that I would have loved to Seymour conversation around is what I call the snowflake factor. It snowflake built their business on Amazon. I think you're gonna see a tsunami of kind of new cloud service providers. Come on the scene building on top of AWS in a major way of like, that kind of value means snowflake went public, uh, to the level of no one's ever seen ever in the history of N Y s e. They're on Amazon. So I call that the the next tier cloud scale value. That was one thing I'd like to see. I didn't hear much about the global i t number penetration love to hear more about that and the thing that I would like to have heard more. But Jassy kind of touched a little bit on it was that, he said at one point, and when he talked about the verticals that this horizontal disruption now you and I both know we've been seeing on the queue for years. It's horizontally scalable, vertically specialized with the data, and that's kind of what Amazon's been doing for the past couple of years. And it's on full display here, horizontal integration value with the data and then use machine learning with the modern applications, you get the best of both worlds. He actually called that out on this keynote. So to me, that is a message to all entrepreneurs, all innovators out there that if you wanna change the position in the industry of your company, do those things. There's an opportunity right now to integrate with the cloud to disrupt horizontally, but then on the vertical. So that will be very interesting to see how that plays out. >>And eventually you mentioned Snowflake and I was talking about multi cloud snowflake talks about multi cloud a lot, but I don't even think what they're doing is multi cloud. I think what they're doing is building a data cloud across clouds and their abstracting that infrastructure and so to me, That's not multi Cloud is in. Hey, I run on Google or I run on the AWS or I run on Azure ITT's. I'm abstracting that making that complexity disappeared, I'm creating an entirely new cloud at scale. Quite different. >>Okay, we gotta break it there. Come back into our program. It's our live portion of Cube Live and e. K s Everywhere day. That's multi cloud. If they won't say, that's what I'll say it for them, but the way we go, more live coverage from here at reinvent virtual. We are virtual Cuban John for Dave a lot. They'll be right back.

>>thank you very much for this opportunity to talk about Stamp with a bio design program, which is entrepreneurship education for the medical devices. My name is Julia Key Can. Oh, I am Japanese. I have seen the United States since two doesn't want on the more than half of my life after graduating from medical school is in the United States. I hope I can contribute to make them be reached between Japan that you were saying right I did the research in the period of medical devices with a patient all over the world today is my batteries met their country finished medication stamp of the city. Yeah, North Korea academia, but also a wrong. We in the industry sectors sometimes tried to generate new product which can generate revenue from their own research outward, it is explained by three steps. The first one is the debut river, which is the harbor Wrong research output to the idea which can be product eventually. That they are hard, though, is the best body, which is a hot Arboria. From idea to commercial for the other one is that we see which is a harder to make a martial hold up to become a big are revenue generating products for the academia that passed the heart is a critical on the essential to make a research output to the idea. Yeah, they're two different kind of squash for the developing process in the health care innovation, Why's bio and by all the farmer under the other one is medical device regarding the disciplining method is maybe in mechanical engineering. Electrical engineering on the medical under surgical by Obama is mainly chemical engineering, computer science, biology and genetics. However, very important difference off these to be the innovation process. Medic is suitable on these digital innovation and by Obama, is suitable discovery process needs. Yeah, in general transformation of medical research between the aroma academia output to the commercial product in the medical field is called bench to bed. It means from basically such to critical applications. But it is your bio on the path. Yeah, translation. Medical research for medical devices is better. Bench on back to bed, which means quicker Amit needs to bench on back to Greek application. The difference off the process is the same as the difference off the commercialization. Yeah, our goal is to innovate the newer devices for patient over the war. Yeah, yeah, there are two process to do innovation. One is technology push type of innovation. The other one is news, full type of innovation. Ignore the push stop Innovation is coming from research laboratory. It is suitable for the farm on the bios. Happy type of innovation. New, useful or used driven type of type of innovation is suitable for medical devices. Either Take this topic of innovation or useful type of innovation. It is important to have Mini's. We should think about what? It's waas Yeah, in 2001 stop for the Cube, API has started to stop with Bio Design program, which is on entrepreneurship education for medical devices. Our mission is educated on empowering helps technology, no based innovators on the reading, the transition to a barrier to remain a big innovation ecosystem. Our vision is to be a global leader in advancing Hearst technology innovation to improve lives everywhere. There are three steps in our process. Off innovation, identify invent on England. Yeah, yeah. The most important step is the cluster, which is I didn't buy. I didn't buy a well characterized needs is the Vienna off a grating vision. Most of the value off medical device development is due to Iraq Obina unmet needs. So we focused in this gated by creates the most are the mosque to find on the Civic on appropriate. Yeah, our barrels on the student Hickory World in March, disparate 19 that ideally include individual, which are background in many thing engineering on business. Yeah, how to find our needs. Small team will go to the hospital or clinic or environment to offer them the healthcare providers with naive eyes. The team focused. You look to keep all the um, it needs not technology. This method is senior CTO. It's a rocket car approach which can be applied all that design, thinking the team will generate at least 200 needs from economic needs. Next stick to identify Pace is to select the best. Amit Knees were used for different aspect, which can about it the nominees. These background current existing solutions market size on the stakeholders. Once we pick up ur madness from 200 nominees, they can move to the invention pates. Finally, they can't be the solution many people tend to invent on at the beginning base without carefree evaluating its unmet knees to result in a better tend to pouring love. Their whole idea, even amid NIS, is not what this is. Why most of the medical device innovation fail due to the lack off unmet needs. To avoid this Peter Hall, our approach is identify good needs. First on invention is the sex to generate the idea wrong. Unmet knees. We will use seven Rules off race Tony B B zero before judgment encourage wild ideas built on the ideas off. Others. Go Conte. One conversation time. Stay focused on the topic. The brainstorming is like association game. Somebody's idea can stimulate the others ideas. After generating many ideas, the next step is sleeping of idea whether use five different Dustin to embody the ideas. Intellectual property regulatory. Remember National Business Model on technology How, after this election step, we can have the best solution with system it needs, and finally team will go to the implementation pace. This place is more business oriented mothers. The strategy off business implementations on the business planning. Yeah, yeah, students want more than 50 starting up are spinning off from by design program. Let me show one example This is a case of just reputations. If patient your chest pain, most of that patient go to family doctor and trust. The first are probably Dr before the patient to General Securities. General Card, obviously for the patient Director, Geologist, Director, API geologist will make a reservation. Horta uses it. Test patient will come to the clinic people for devices in machine on his chest. Well, what? Two days? Right? That patient will visit clinic to put all the whole decency After a few days off. Analysis patient Come back to Dr to hear the result Each step in his money to pay. This is a minute, Knees. This is a rough sketch off the solutions. The product name is die. A patch on it can save about $620. Part maybe outpatient right here. >>Yeah, yeah. Life is stressful. We all depend on our heart with life source of our incredible machine. The body, however, sometimes are hard Need to check up. Perhaps you felt dizzy heart racing or know someone who has had a serious heart problem The old fashioned monitors that used to get from most doctors or bulky And you can't wear them exercising or in the shower. If appropriate for you, sudden life will provide you the eye rhythm. Zero patch to buy five inch band aid like patch would. You can apply to your chest in the comfort of your own home or in the gym. It will monitor your heart rate for up to 14 days. You never have to come into a doctor's office as you mail back. Patched us shortly after you were receiving. Easy to understand report of your heart activity, along with recommendations from a heart specialists to understand the next steps in your heart. Health sudden life bringing heart monitoring to you. >>This is from the TV broadcasting become Ah, this is a core value we can stamping on his breast. He has a connotation of the decent died. Now the company names Iris is in the public market cap off. This company is more than six billion di parts is replacing grasp all or that you see the examination. However, our main product is huge. The product lifecycle Very divisive, recent being it's. But if we can educate the human decision oil because people can build with other people beyond space and yeah, young broader stop on by design education is now runs the media single on Japan. He doesn't 15 PBS probably star visited Stamp of the diversity and Bang. He announced that Japan, by design, will runs with vampires. That problem? Yeah, Japan Barzan program has started a University of Tokyo Osaka University and we've asked corroborating with Japanese government on Japanese medical device Industry s and change it to that. Yeah, this year that it's batch off Japan better than parachute on. So far more than five. Starting up as being that's all. Thank you very much for your application.

>>from the Cube Studios in Palo Alto and Boston. It's the Cube covering empowering the autonomous enterprise brought to you by Oracle Consulting. Welcome back, everybody to this special digital event coverage. The Cube is looking into the rebirth of Oracle Consulting. Janet George is here. She's group VP Autonomous for Advanced Analytics with machine learning and artificial intelligence at Oracle on she joined by Grant Gibson is VP of growth and strategy. Folks, welcome to the Cube. Thanks so much for coming on. I want to start with you because you get strategy in your title start big picture. What is the strategy with Oracle specifically as it relates to autonomous and also consulting? >>Sure. So I think you know, Oracle has a deep legacy of strength and data and over the company's successful history, it's evolved what that is from steps along the way. If you look at the modern enterprise Oracle client, I think there's no denying that we've entered the age of AI, that everyone knows that artificial intelligence and machine learning are key to their success in the business marketplace going forward. And while generally it's acknowledged that it's a transformative technology and people know that they need to take advantage of it. It's the how that's really tricky and that most enterprises, in order to really get an enterprise level, are rely on AI investment. Need to engage in projects of significant scope, and going from realizing there's an opportunity realizing there's a threat to mobilize yourself to capitalize on it is a daunting task. Certainly one that's anybody that's got any sort of legacy of success has built in processes as building systems has built in skill sets, and making that leap to be an autonomous enterprise is challenging for companies to wrap their heads around. So as part of the rebirth of Oracle Consulting, we've developed a practice around how to both manage the technology needs for that transformation as well as the human needs as well as the data science needs. >>So there's about five or six things that I want to follow up with you there, so this is a good conversation. Ever since I've been in the industry, we were talking about a sort of start stop start stopping at the ai Winter, and now it seems to be here. I almost feel like the technology never lived up to its promise you didn't have the horsepower compute power data may be so we're here today. It feels like we are entering a new era. Why is that? And how will the technology perform this time? >>So for AI to perform is very reliant on the data. We entered the age of Ai without having the right data for AI. So you can imagine that we just launched into Ai without our data being ready to be training sex for AI. So we started with big data. We started the data that was already historically transformed. Formatted had logical structures, physical structures. This data was sort of trapped in many different tools. And then suddenly Ai comes along and we see Take this data, our historical data we haven't tested to see if this has labels in it. This has learning capability in it. Just trust the data to AI. And that's why we saw the initial wave of ai sort of failing because it was not ready to fully ai ready for the generation of ai if >>you will. And part of I think the leap that clients are finding success with now is getting novel data types and you're moving from zeros and ones of structured data, too. Image language, written language, spoken language You're capturing different data sets in ways that prior tools never could. So the classifications that come out of it, the insights that come out of it, the business process transformation comes out of it is different than what we would have understood under the structure data formats. So I think it's that combination of really being able to push massive amounts of data through a cloud product processes at scale. That is what I think is the combination that takes it to the next plateau, for >>sure. The language that we use today, I feel like it's going to change. And you just started to touch on some of it, sensing our senses and visualization on the the auditory. So it's it's sort of this new experience that customers are seeing a lot of this machine intelligence behind. >>I call it the autonomous and price right, the journey to be the autonomous enterprise, and when you're on this journey to be the autonomous enterprise, you need really the platform that can help you be cloud is that platform which can help you get to the autonomous journey. But the Thomas journey does not end with the cloud. It doesn't end with the Data Lake. These are just infrastructures that are basic necessary necessities for being on that on that autonomous journey. But at the end, it's about how do you train and scale at, um, very large scale training that needs to happen on this platform for AI to be successful. And if you are an autonomous and price, then you have really figured out how to tap into AI and machine learning in a way that nobody else has to derive business value, if you will. So you've got the platform, you've got the data, and now you're actually tapping into the autonomous components ai and machine learning to derive business, intelligence and business value. >>So I want to get into a little bit of Oracle's role. But to do that, I want to talk a little bit more about the industry. So if you think about the way that the industry seems to be restructuring around data, historically, industries had their own stack value chain and if you were in in in the finance industry, you were there for life. >>So when you think about banking, for example, highly regulated industry think about our culture. These are highly regulated industries there. It was very difficult to destruct these industries. But now you look at an Amazon, right? And what does an Amazon or any other tech giants like Apple have? They have incredible amounts of data. They understand how people use for how they want to do banking. And so they've come up with a lot of cash or Amazon pay. And these things are starting to eat into the market. Right? So you would have never thought and Amazon could be a competition to a banking industry just because of regulations. But they're not hindered by the regulations because they're starting at a different level. And so they become an instant threat in an instant destructive to these highly regulated industries. That's what data does, right when you use data as your DNA for your business and you are sort of born in data or you figure out how to be autonomous. If you will capture value from that data in a very significant manner, then you can get into industries that are not traditionally your own industry. It can be like the food industry can be the cloud industry, the book industry, you know, different industries. So you know that that's what I see happening with the tech giants. >>So great, there's a really interesting point that the Gina is making that you mentioned. You started off with a couple of industries that are highly regulated, harder to disrupt, use it got disrupted. Publishing got disrupted. But you've got these regulated businesses. Defense. Automotive actually hasn't been surely disrupted yet. Tesla. Maybe a harbinger. And so you've got this spectrum of disruption. But is anybody safe from disruption? >>I don't think anyone's ever say from it. It's It's changing evolution, right? That you whether it's, you know, swapping horseshoes for cars are TV for movies or Netflix are any sort of evolution of a business. You're I wouldn't coast on any of it. And I think t earlier question around the value that we can help bring the Oracle customers is that you know, we have a rich stack of applications, and I find that the space between the applications, the data that that spans more than one of them is a ripe playground for innovations that where the data already exists inside a company, but it's trapped from both a technology and a business perspective. And that's where I think really any company can take advantage of knowing it's data better and changing itself to take advantage of what's already there. >>Yet powerful people always throw the bromide of the data is the new oil. And we've said no data is far more valuable because you can use it in a lot of different places where you can use once, and it's follow the laws of scarcity data, if you can unlock it. And so a lot of the incumbents they have built a business around whatever factory, our process and people, a lot of the trillion are starting us that become millionaires. You know, I'm talking about data is at the core data company. So So it seems like a big challenge for your incumbent customers. Clients is to put data at the core, be able to break down those silos. How do they do that? >>Grading down silos is really super critical for any business. It was okay to operate in a silo, for example. You would think that Oh, you know, I could just be payroll, inexpensive falls, and it wouldn't matter matter if I get into vendor performance management or purchasing that can operate as asylum. But anymore, we are finding that there are tremendous insights. But in vendor performance management, I expensive for these things are all connected, so you can't afford to have your data sits in silos. So grading down that silo actually gives the business very good performance right insights that they didn't have before. So that's one way to go. But but another phenomena happens When you start to great down the silos, you start to recognize what data you don't have to take your business to the next level. That awareness will not happen when you're working with existing data so that Obama's comes into form. When you great the silos and you start to figure out you need to go after a different set of data to get you to a new product creation. What would that look like? New test insights or new Catholics avoidance that that data is just you have to go through the iteration to be able to figure that out. >>Stakes is what you're saying. So this notion of the autonomous enterprise. I help me here cause I get kind of autonomous and automation coming into I t I t ops. I'm interested in how you see customers taking that beyond the technology organization into the enterprise. >>I think when is a technology problem? The company? Is it a loss? AI has to be a business problem. AI has to inform the business strategy. Ai has been companies the successful companies that have done so. 90% of my investments are going towards state. We know that most of it going towards ai this data out there about this, right? And so we look at what are these? 90 90% of the companies investments where he's going and whose doing this right who's not doing this right? One of the things we're seeing as results is that the companies that are doing it right have brought data into the business strategy. They've changed their business model, right? So it's not like making a better taxi, but coming up with global, right? So it's not like saying Okay, I'm going to have all these. I'm going to be the drug manufacturing company. I'm gonna put drugs out there in the market this is I'm going to do connected help, right? And so how does data serves the business model of being connected? Help rather than being a drug company selling drugs to my customers, right? It's a completely different way of looking at it. And so now you guys informing drug discovery is not helping you just put more drugs to the market. Rather, it's helping you come up with new drugs that would help the process of connected games. There's a >>lot of discussion in the press about, you know, the ethics of a and how far should we take a far. Can we take it from a technology standpoint, Long room there? But how far should we take it? Do you feel as though public policy will take care of that? A lot of that narrative is just kind of journalists looking for, You know, the negative story. Well, that's sort itself out. How much time do you spend with your customers talking about that >>we in Oracle, we're building our data science platform with an explicit feature called Explained Ability. Off the model on how the model came up with the features what features they picked. We can rearrange the features that the model picked. Citing Explain ability is very important for ordinary people. Trust ai because we can't trust even even they decided this contrast right to a large extent. So for us to get to that level where we can really trust what AI is picking in terms of a modern, we need to have explain ability. And I think a lot of the companies right now are starting to make that as part of their platform. >>We're definitely entering a new era the age of of AI of the autonomous enterprise folks. Thanks very much for great segment. Really appreciate it. >>Yeah. Pleasure. Thank you for having us. >>All right. And thank you and keep it right there. We'll be back with our next guest right after this short break. You're watching the Cube's coverage of the rebirth of Oracle consulting right back. Yeah, yeah, yeah, yeah, yeah, yeah

>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>Welcome back to the Cube's coverage of AWS Summit 2020. It's virtual online, and we're the Cube virtual here in our Palo Alto studios with our covert 19 crew. We're in place here, getting all the content remotely and also digitally. We're gonna bring that in the virtual. Got a great guest here as part of the program at AWS, but more importantly, part of the community doing its part both on building applications but also around covert 19 Dean, great CEO of Skylab APS ink. And they got an app that's being featured called Do your Part Hashtag Do your part, Dean, Thanks for spending the time to come in and talk with me. >>Excited to be here. >>You got to love this virtual ization going on, and I think you know the sad news around what's going on is really an indication of a New World order that we're seeing a new expectation of virtual izing the world that we live in. Obviously, we've been doing content at events. Now it's virtual or digital, but Still, people are online there. They're converging their lives with digital technologies. You guys are in that business. You have an app that's pretty compelling and relevant for the covert. 19. Take a minute to tell us about yourself and Skylab Appsync and do it. Do your part. Uh huh. >>Sure. Thank you. Thank you for having us on first fall. Well, what we do is kind of acts as we launch rapid response platforms. That entire platform in about a week's worth. The times If you have your on Facebook or INSTAGRAM, we'll be doing for causes tribes organizations or some sort of situation that requires there was something to get it quickly. Where you can shave were warning and track behaviors of that community to hit a certain goal. So since we've been doing this for years with all kinds of communities, we code it. We started hearing all these things on the news about companies coming forward and making face faster hand sanitizers, which were great products. But there's nothing out there that was tracking and helping the people that would be in quarantine. Hi, my little heroes inside all of us. So we knew that every night on the news. We were being told to stay home, but how do we track that stuff? So we just had the ability to do it, and we stepped forward and said Amazon aws But you help us and they said, Absolutely give you credits on servers will handle the server stuff. You have a platform and look for war. All these people at home kids and parents >>talk about the app itself. You guys are doing your part and flattening the curve. Tracing has become a topic that they were digitally connected. Why not use the technology for good? You guys have an effort to flatten the curve and track, and people are opting in its not like its surveillance government surveillance. This is actually an opt in. Do your part, you mentioned heroes. It's a hero journey, if you will. But people are doing Their part here is that we talk about the app. What's it's what's it all about? >>So when you go in that it's a one stop shop to learn about leaks to the CDC information. First of all, you want to know making sure you have real news getting quality information, so resource for education. But the unique thing about it is there's tons of those out there is that you have all the action's listed where you can now. Why should you? Why in your hands reaching out to here saying Thank you for spending time with pets, unplugging all the things that just not psychological but actually coded actions that are saving lives? People voluntarily going there report that they're doing that by clicking on it instantly shows up on the wall like Instagram feed, but it's private, and everyone now can see what people are doing. Their high fiving change each other on their badges, and major companies are jumping on board one wiser or a all kinds of companies outside of Amazon. But only when people are doing these things. We'd love the highlight report that these actions state. >>It's really also, I think it's well, first, it's awesome that you're doing in your agile enough with AWS. I want to get to that in a second. But I think the trend with code 19 that I'd like to get your thoughts on this. I think this has a lot of head room is not so much the feel good nature of it that I'm doing my part. But you're starting to see the user experience. People are tired, tired of sheltering in place. We're pushing now 23 months now into this and is gonna go on for more and more. Universities want to open. People want open up their jobs, and it's almost a new norm developing where the tribes, if you will, or groups of people. My daughter lives in San Francisco. She's got some roommates. They're sheltering in place. They're watching their actions. They also want to socialize. So it's almost like a badge collected license to get into a bar. It's like, Hey, I'm doing my part So it's It's almost a signaling kind of tribal thing that you're seeing. And I think this might be part of a future that we're gonna live in, because if I'm aware of my responsibilities and I'm doing my part, I want to communicate with people who are doing their part, and there >>are people who >>aren't doing their part by the way, that's well documented. And then there's a trust element in all this. >>Bring this >>together for us. What does this all means? That tribalism communalism, norms or developing interactions, and expectations are emerging. New roles and new responsibilities are emerging from this. Your thoughts >>well, you're hitting me on the head. Everything's troubling. That's what Sky was focused around. Is, for example, well, we started to help the cheerleading industry because it was a bunch of young athletes from ages 6 to 22. And we have over 40,000 kids, for example, that are tracking behaviors and wannabe recognized for doing the things that really matter in life, not just taking a selfie be rewarded for >>being cheat. >>So how do you compete with all the concepts of being famous for the wrong reasons? So, for example, let's cheer up. We work people for being better athletes, taking the actions that advanced. They're still being a better human beings doing their homework, getting Obama complement, doing the dishes and then making the world a better place. We were already doing that. Now I'm making the world a better place. Is in addition to stopping a bully. Reaching out don't mean girl. Now we have the corporate actions of making the world a better place. Track it, and what was shocking is they can now show that we've got kids that have had 200 days streaks over the last year, and they were addicted to the positive things, not just being cute anymore, also perfectly for covert actions in there. And people are just loving it. So we've got Bruce. Whether navy seals of whether it's with cheer or whether it's with any type of affinity group is out there. >>It's interesting because, you know, people love to see the lights on their selfies on their posts. This >>is a >>new kind of social signaling, but it's got again social responsibility. Kind of built in with the Gamification is in the right way. That's what you're saying. Is that what's happening? >>Yes, and you're sitting on a white paper they wrote recently. It's called Beyond. Gamification is via rest value reinforcement systems, and it's highly. It's much more addictive and sustained engaging for long term, because Gamification is what's done to you without really knowing via Rest is, you are the organization grabbing the steering wheel of deciding what other behaviors that you should be reinforcing. So the RS is the next evolution of Gamification. >>I think that's a huge point. I'd love to do a follow up segment on that because I think this is exactly what I call the Facebook blowback, which is the users, the product that's been kind of the Silicon Valley kind of vibe, and that's really true. Facebook has been, you know, not exploiting that. Using the free service in exchange for leveraging you and being game. Gamification applied to people here. The script is flipped. The users, they're telegraphing their data into a system that's rewarding them for positive things. And it could be on anything >>well and reward them in. Our system is when you're gonna grow a tribe. If you want to take something and grow bigger, you have to have the basics. Talk to me. Follow me. Here's all the resources of channels. Here's the behaviors I want you to do consistently, and then maybe here's some certification course you go. So it's like five little absent, one that are geared for growing the community because learning something I know is not proving that I am and I am is a huge gap between just know, and so everyone was teaching out there Today needs to start backing up their incredible keynotes with an incredible continuity program to create sustained trip transparent change. And you mentioned the GDP. Our rules the world has written, has wised up, realized. I don't mind telling me what I'm doing is long is I get to see what I'm doing. I'm in volunteering. Data don't go straight behind my back when I've been a part of that. Really, Where? On whether I'm general social media, they feel like they're part of the track and will mission. That's totally different than going to a specific apt to tell you when I do. >>This is innovation. I think this is a great, innovative trend. I think this is going to be around much longer on and have a lot, a lot, a lot of headroom to it, because I mean, every wants to be an influencer and have influence. But what you're getting at is interesting. It's reputation, it's who you are, and your actions are contributing to that. You can control that. That's a really great trend. Awesome stuff, great stuff. >>Well, you said very key work. We call them. Everyone likes to be influencers, but they don't feel they can compete with the beautiful, super powerful influencers on social media, where you've got 10 million followers or a 1,000,000 you have to just be the ultimate look, the ultimate fan. People are now realizing they could be micro influencers, and they're attitude. Will it? As long as you recognize us the same way, we want you to know that we're not just customer, not just a fan. I'm a micro influencers long. You'll recognize me and I'll tear the door down. >>Well, you know what? That's something that's near and dear to our hearts. After the Cube, we have a Cube alumni network. We don't try to monetize it. It's just really smart people we share content with. And no network is too small in our mind. We think that is ultimately where it's gonna go. Really appreciate that with Covert 19 as it evolves, you guys had this rapid app. Amazon's helping out. I'll see they're involved in giving you some credits. What's going on with Amazon? What's the relationship? Free credits? Are you an Amazon customer using Amazon Cloud? What's your relationship with AWS? >>Well, first, we wouldn't be able to do what we do about them. So all of our APs for communities are powered by Amazon in AWS. So in addition to that by the given its Cremins, they didn't just want to do your partner. They have all of the other existing communities rapidly deploy these actions, like the cheerleading young athletes like the ones for personal development. So we suddenly were able to track over a 1,000,000 actions taken in people's households of people have shown funny moments and give these with what they're doing is basically making off color. So Amazon really stepped up and help them not just the general public, but on the existing ones, with their leveraging technology that we run off of, as well as providing credits for all of those people. >>Well, congratulations for being featured on the Amazon Summit Virtual Appliances Cube online here is, well, virtual great stuff. Love to follow the progress quickly get a plug in for the company where you guys are at and share the length of that white paper. I think that's something that's worth promoting the white paper you mentioned. >>So the people get all this information sky dot world, so that's kind of the world that we're basically a platform that people have access to this white label. So you have a community organization that you want to be able to train, track to reward people, own your data, and we allow you own a copy of your of your source code. So we truly are empowered people. If you have a tribe, man, right, get your world. You know, this is where the science of engagement business we like to help you get that sustaining and, you know, what >>are you fast forward of? What's the pricing model? >>Yeah, so we started to set up a VM on a monthly fee unless they end up buying out the code and then typically just face to maintain it. So we were I was a customer, was someone was a young person who had developed a large tribe with decent sized multiple countries, and they realized I sold my company. All my people were on Facebook and Instagram, so I was only valued a certain value. Had I had all that community on a platform that I owned. Oh my gosh, I was like a younger rock star realized >>that you're rolling out the rock star and >>again having social >>graph and having that interest graph really creates a lot of value and congratulations. And I >>think you >>look forward to seeing the success. And thanks for doing your part. Literally, Figuratively with the march, check it out online bringing social responsibility and Gamification in the hands of the users where they can control it. The reputation and thank you for coming on the Cube. Really appreciate it. I'm John Furrier. Thanks for watching this Cube. Virtual covering AWS Summit Online. Their virtual event as we are in our quarantine crew studio here in Palo Alto doing all the remote interviews. I'm John Ferrier. Thanks for watching. Yeah, yeah, yeah, yeah.

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hey welcome back here writer jeff rick here with the cube we're in our Palo Alto studios you know kind of continuing our leadership coverage reaching out to the community for people that we've got in our community to get their take on you know how they're dealing with the Kovach crisis how they're helping to contribute back to the community to to bring their resources to bear and you know just some general good tips and tricks of getting through these kind of challenging times and we're really excited to have one of my favorite guests he's being used to come on all the time we haven't had them on for three years which I can't believe it sabi Mehta the CEO of true SATA founder to say to obby I checked the record I can't believe it's been three years since we last that down great to see you Jeff there's well first of all it's always a pleasure and I think the only person to blame for that is you Jeff well I will make sure that it doesn't happen again so in just a check-in how's things going with the family the company thank you for asking you know family is great we have I've got two young kids who have become video conferencing experts and they don't teach me the tricks for it which I'm sure is happening a lot of families around the world and the team is great we vent remote at this point almost almost two months ago down and can't complain I think their intellectual property business like you are so it's been a little easier for us to go remote compared to a lot of other businesses in the world and in America but no complaints it'll be very fortunate we are glad that we have a business and a company that can withstand the the economic uncertainty and the family's great I hope the same for the queue family I haven't seen Dave and John and it's good to see you again and I hope all of you guys are helped happy and healthy great I think in we're good so thank you for asking so let's jump into it you know one of the things that I've always loved about you is you know really your sense of culture and this kind of constant reinforcing of culture in your social media posts and the company blog post at true SATA you know celebrating your interns and and you really have a good pulse for that and you know I just I think we may even talked about it before about you know kind of the CEOs and leadership and and social media those that do and that and those that don't and you know I think it's it's probably from any kind of a risk reward trade-off you know I could say something group it versus what am I getting at it but really it's super important and in these times with the distributed workforce that the the importance and value of communicating and culture and touching your people frequently across a lot of different mediums and topic areas is is more important than ever before share with us kind of your strategy why did you figure this out early how have you you know kind of adjusted you know your method of keeping your team up and communicating absolutely like I guess I owe you guys a little bit of gratitude for it which is we launched our company and you know I'm showing a member on the cube it was a social media launch you know if you say that say it like that I think there are two or three things that are very important Jeff and you hit on all of them one is the emphasis on information sharing it becomes more important than times like these and we as as a society value the ability to share a positive conversation of positive perspective and a positive outlook more but since day zero at the seder we've had this philosophy that there are no secrets it is important to be open and transparent both inside and outside the company and that our legacy is going to be defined by what we do for the community and not just what we do for our shareholders and by its very nature the fact that you know I grew up in a different continent now live and call America now a different continent my home I guess I was it's very important for me to stay connected to my roots it is a good memory or reminder that the world is very interconnected unfortunately the pandemic is the is the best or worst example of it in a really weird way but I think it's also a very important point Jeff that I believe we learned early and I hope coming out from this is something that we don't lose the point you made about kindness social media and social networking has a massively in my opinion massively positive binding force for the world at the same time there were certain business models it tried to capitalize on the negative aspects of it you know whether they are the the commercialized versions of slam books or not so nice business models that capitalize on the ability for people to complain I hope that people society and us humans coming out of it learn from people like yourself or you know the small voice that I have on social media or the messages we share and we are kinda in what we do online because the ability to have networks that are viral and can propagate or self propagate is a very positive unifying force and I hope out of this pandemic we all realize the positive nature's of it more than the negative nature's of it because unfortunately as you know that our business models built on the negative forces of social media and I really really hope they're coming out of this are positive voices drown out the negative voices that's great point and and it's a great I want to highlight a quote from one of your blog's again I think you're just a phenomenal communicator and in relationship to what's going on with kovat and and I quote we are fighting fear pain and anxiety as much as we are fighting the virus this is our humble attempt to we'll get into what you guys did to help the thousands of first responders clerks rockstars but I just really want to stick with that kindness theme you know I used to or I still joke right that the greatest smile in technology today is our G from signal FX the guys are gonna throw up a picture of him he's a great guy he looks like everybody's favorite I love that guy but therefore signal effects and actually it's funny signal FX also launched on the cube at big data a big data show I used to say the greatest smile intact is avi Mehta I mean how can I go wrong and and what I when I reached out to you I I do I consciously thought what what more important time do we have than to see people like you with a big smile with the great positive attitude focusing on on the positives and and I just think it's so important and it segues nicely into what we used to talk about it the strata shows and the big data shows all the time everyone wanted to talk about Hadoop and big data you always stress is never about the technology it's about the application of the technology and you focus your company on that very where that laser focus from day one now it's so great to see is we think you know the bad news about kovat a lot of bad news but one of the good news is is you know there's never been as much technology compute horsepower big data analytics smart people like yourself to bring a whole different set of tools to the battle than just building Liberty ships or building playing planes or tanks so you guys have a very aggressive thing that you're doing tell us a little bit about is the kovat active transmission the coat if you will tell us about what that is how did it come to be and what are you hoping to accomplish of course so first of all you're too kind you know thank you so much I think you also were the first people to give me a hard time about my new or Twitter picture I put on and he said what are you doing RV you know you have a good smile come on give me the smile die so thank you you're very kind Jeff I think as I as we as you know and I know I think you've a lot to be thankful for in life and there's no reason why we should not smile no matter what the circumstance we have so much to be thankful for and also I am remiss happy Earth Day you know I'm rocking my green for Earth Day as well as Ramadan Kareem today is the first day of Ramadan and you know I I wish everybody in the world Ramadan Kareem and on that friend right on that trend of how does do we as a community come together when faced with crisis so Court was a very simple thing you know it's I'm thank you for recognizing the hard work of the team that led it it was an idea I came up with it you know in the shower I'm like there are two kinds of people or to your you can we have we as humans have a choice when history is being made which I do believe I do believe history is being made right whether you look at it economically and a economic shock and that we have not felt as humanity since the depression so you look at it socially and again something we haven't seen sin the Spanish blue history is being made in in these times and I think we as humans have a choice we can either be witnesses to it or play our part in helping shape it and coat was our humble tiny attempt to when we look back when history was being made we chose to not just sit on the sidelines but be a part of trying to be part of the solution so all riddled with code was take a small idea I had team gets the entire credit read they ran with it and the idea was there was a lot of data being open sourced around co-ed a lot of work being done around reporting what is happening but nothing was being done around reporting or thinking through using the data to predict what could happen with it and that was code with code we try to make the first code wonder oh that came out almost two weeks ago now when you first contacted us was predicting the spread and the idea around breaking the spread wasn't just saying here is the number of cases a number of deaths and know what to be very off we wanted to provide like you know how firefighters do can we predict where it may go to next at a county by county level so we could create a little bit of a firewall to help it from stop you know have the spread of it to be slower in no ways are we claiming that if you did port you can stop it but if he could create firewalls around it and distribute tests not just in areas and cities and counties where it is you know spiking but look at the areas and counties where it's about to go to so we use a inner inner in-house Network algorithm we call that Orion and we were able to start predicting where the virus is gonna go to we also then quickly realize that this could be an interesting where an extra you know arrow and the quiver in our fight we should also think about where are there green shoots around where can recovery be be helped so before you know the the president email announced this it was surrender serendipitous before the the president came and said I want to start finding the green shoes to open the country we then did quote $2 which we announced a week ago with the green shoots around a true sailor recovery index and the recovery index is looking at its car like a meta algorithm we're looking at the rates of change of the rates of change so if you're seeing the change of the rates of change you know the meta part we're declining we're saying there are early shoots that we if as we plan to reopen our economy in our country these are the counties to look at first that was the second attempt of code and the third attempt we have done is we calling it the odd are we there yet index it got announced yesterday and now - you're the first public announcement of it and the are we there yet index is using the government's definition of the phase 1 phase 2 phase 3 and we are making a prediction on where which are the counties that are ready to be open up and there's good news everywhere in the country but we we are predicting there are 73 different counties that ask for the government's definition of ready to open are ready to open that's all you know we were able to launch the app in five days it is free for all first responders all hospital chains all not-for-profit organizations trying to help the country through this pandemic and poor profit operations who want to use the data to get tests out to get antibodies out and to get you know the clinical trials out so we have made a commitment that we will not charge for code through - for any of those organizations to have the country open are very very small attempt to add another dimension to the fight you know it's data its analytics I'm not a first responder this makes me sleep well at night that I'm at least we're trying to help you know right well just for the true heroes right the true heroes this is our our humble attempt to help them and recognize that their effort should not go to its hobby that that's great because you know there is data and there is analytics and there is you know algorithms and the things that we've developed to help people you know pick they're better next purchase at Amazon or where they gonna watch next on Netflix and it's such a great application no it's funny I just finished a book called ghost Bob and is a story of the cholera epidemic in London in like 1850 something or other about four but what's really interesting at that point in time is they didn't know about waterborne diseases they thought everything kind of went through the air and and it was really a couple of individuals in using data in a new and more importantly mapping different types of datasets on top of it and now this is it's as this map that were they basically figured out where the the pump was that was polluting everybody but it was a great story and you know kind of changing the narrative by using data in a new novel and creative way to get to an answer that they couldn't and you know they're there's so much data out there but then they're so short a date I'm just curious from a data science point of view you know um you know there there aren't enough tests for you know antibodies who's got it there aren't enough tests for just are you sick and then you know we're slowly getting the data on the desk which is changing all the time you know recently announced that the first Bay Area deaths were actually a month were they before they thought they were so as you look at what you're trying to accomplish what are some of the great datasets out there and how are you working around some of the the lack of data in things like you know test results are you kind of organizing pulling that together what would you like to see more of that's why I like talking to you so I missed you you are these good questions of me excellent point I think there are three things I would like to highlight number one it doesn't take your point that you made with the with the plethora of technical advances and this S curve shift that these first spoke at the cube almost eleven years ago to the date now or ten years ago just the idea of you know population level or modeling that cluster computing is finally democratized so everybody can run complicated tests and a unique segment or one and this is the beauty of what we should be doing in the pandemic I'm coming I'm coming I'm quite surprised actually and given the fact we've had this S curve shift where the world calls a combination of cloud computing so on-demand IO and technical resources for processing data and then the on-demand ability to store and run algorithms at massive scale we haven't really combined our forces to predict more you know that the point you made about the the the waterborne pandemic in the eighteen eighteen hundreds we have an ability as humanity right now to actually see history play out rather than write a book about it you know it has a past tense and it's important to do are as follows number one luckily for you and I the cost of computing an algorithm to predict is manageable so I am surprised why the large cloud players haven't come out and said you know what anybody who wants to distribute anything around predictions lay to the pandemic should get cloud resources for free I we are running quote on all three cloud platforms and I'm paying for all of it right that doesn't really make sense but I'm surprised that they haven't really you know joined the debate or contribute to it and said in a way to say let's make compute free for anybody who would like to add a new dimension to our fight against the pandemic number one but the good news is it's available number two there is luckily for us an open data movement you know that was started on the Obama administration and hasn't stopped because you can't stop open movements allows people companies like ours to go leverage know whether it's John Hancock Carnegie Mellon or the new data coming out of you know California universities a lot of those people are opening up the data not every single piece is at the level we would like to see you know it's not zip plus 4 is mostly county level it's available the third innovation is what we have done with code but not it's not an innovation for the world right which is the give get model so we have said we will curate everything is available lie and boo cost anybody is used but they're for purposes and computations you want to enrich it every organization who gives code data will get more out of it so we have enabled a data exchange keep our far-off purple form and the open up the rail exchange that my clients use but you know we've opened up our data exchange part of our software platform and we have open source for this particular case a give get model but the more you give to it the more you get out of there and our first installations this was the first week that we have users of the platform you know the state of Nevada is using it there are no our state in North Carolina is using it already and we're trying to see the first asks for the gift get model to be used but that's the three ways you're trying to address the that's great and and and and so important you know in this again when this whole thing started I couldn't help but think of the Ford plant making airplanes and and Keiser making Liberty ships in in World War two but you know now this is a different battle but we have different tools and to your point luckily we have a lot of the things in place right and we have mobile phones and you know we can do zoom and well you know we can we can talk as we're talking now so I want to shift gears a little bit and just talk about digital transformation right we've been talking about this for ad nauseam and then and then suddenly right there's this light switch moment for people got to go home and work and people got to communicate via via online tools and you know kind of this talk and this slow movement of getting people to work from home kind of a little bit and digital transformation a little bit and data-driven decision making a little bit but now it's a light switch moment and you guys are involved in some really critical industries like healthcare like financial services when you kind of look at this not from a you know kind of business opportunity peer but really more of an opportunity for people to get over the hump and stop you can't push back anymore you have to jump in what are you kind of seeing in the marketplace Howard you know some of your customers dealing with this good bad and ugly there are two towers to start my response to you with using two of my favorite sayings that you know come to mind as we started the pandemic one is you know someone very smart said and I don't know who's been attributed to but a crisis is a terrible thing to waste so I do believe this move to restoring the world back to a natural state where there's not much fossil fuels being burnt and humans are not careful about their footprint but even if it's forced is letting us enjoy the earth in its glory which is interesting and I hope you don't waste an opportunity number one number two Warren Buffett came out and said that it's only when the tide goes out you realize who's swimming naked and this is a culmination of both those phenomenal phrases you know which is one this is the moment I do believe this is something that is deep both in the ability for us to realize the virtuosity of humanity as a society as social species as well as a reality check on what a business model looks like visa vie a presentation that you can put some fancy words on even what has been an 11-year boom cycle and blitzscale your way to disaster you know I have said publicly that this the peak of the cycle was when mr. Hoffman mr. Reid Hoffman wrote the book bit scaling so we should give him a lot of credit for calling the peak in the cycle so what we are seeing is a kind of coming together of those two of those two big trends crises is going to force industry as you've heard me say many for many years now do not just modernize what we have seen happen chef in the last few years or decades is modernization not transformation and they are different is the big difference as you know transformation is taking a business model pulling it apart understanding the economics that drive it and then not even reassembling it recreating how you can either recapture that value or recreate that value completely differently or by the way blow up the value create even more value that hasn't happened yet digital transformation you know data and analytics AI cloud have been modernizing trends for the last ten years not transformative trends in fact I've also gone and said publicly that today the very definition of technology transformation is run a sequel engine in the cloud and you get a big check off as a technology organization saying I'm good I've transformed how I look at data analytics I'm doing what I was doing on Prem in the cloud there's still sequel in the cloud you know there's a big a very successful company it has made a businessman out of it you don't need to talk about the company today but I think this becomes that moment where those business models truly truly get a chance to transform number one number two I think there's going to be less on the industry side on the new company side I think the the error of anointing winners by saying grow at all cost economics don't matter is fundamentally over I believe that the peak of that was the book let's called blitzscaling you know the markets always follow the peaks you know little later but you and I in our lifetimes will see the return to fundamentals fundamentals as you know never go out of fashion Jeff whether it's good conversations whether it's human values or its economic models if you do not have a par to being a profitable contributing member of society whether that is running a good balance sheet individually and not driven by debt or running a good balance sheet as a company you know we call it financial jurisprudence financial jurisprudence never goes out of fashion and the fact that even men we became the mythical animal which is not the point that we became a unicorn we were a profitable company three years ago and two years ago and four years ago and today and will end this year as a profitable company I think it's a very very nice moment for the world to realize that within the realm of digital transformation even the new companies that can leverage and push that trend forward can build profitable business models from it and if you don't it doesn't matter if you have a billion users as my economic professor told me selling a watermelon that you buy for a dollar or fifty cents even if you sell that a billion times you cannot make it up in volume I think those are two things that will fundamentally change the trend from modernization the transformation it is coming and this will be the moment when we look back and when you write a book about it that people say you know what now Jeff called it and now and the cry and the pandemic is what drove the economic jurisprudence as much as the social jurisprudence obvious on so many things here we can we're gonna be we're gonna go Joe Rogan we're gonna be here for four hours so hopefully hopefully you're in a comfortable chair but uh-huh but I don't I don't sit anymore I love standing on a DD the stand-up desk but I do the start of my version of your watermelon story was you know I dad a couple of you know kind of high-growth spend a lot of money raised a lot of money startups back in the day and I just know finally we were working so hard I'm Michael why don't we just go up to the street and sell dollars for 90 cents with a card table and a comfy chair maybe some iced tea and we'll drive revenue like there's nobody's business and lose less money than we're losing now not have to work so hard I mean it's so interesting I think you said everyone's kind of Punt you know kind of this pump the brakes moment as well growth at the ethic at the cost of everything else right there used to be a great concept called triple-line accounting right which is not just shareholder value to this to the sacrifice of everything else but also your customers and your employees and-and-and your community and being a good steward and a good participant in what's going on and I think that a lot of that got lost another you know to your point about pumping the brakes and the in the environment I mean we've been kind of entertaining on the oil side watching an unprecedented supply shock followed literally within days by an unprecedented demand shock but but the fact now that when everyone's not driving to work at 9:00 in the morning we actually have a lot more infrastructure than we thought and and you know kind of goes back to the old mob capacity planning issue but why are all these technology workers driving to work every morning at nine o'clock it means one thing if you're a service provider or you got to go work at a restaurant or you're you're carrying a truck full of tools but for people that just go sit on a laptop all day makes absolutely no sense and and I'd love your point that people are now you know seeing things a little bit slowed down you know that you can hear birds chirp you're not just stuck in traffic and into your point on the digital transformation right I mean there's been revolution and evolution and revolution people get killed and you know the fact that digital is not the same as physical but it's different had Ben Nelson on talking about the changes in education he had a great quote I've been using it for weeks now right that a car is not a is not a mechanical horse right it's really an opportunity to rethink the you know rethink the objective and design a new solution so it is a really historical moment I think it is it's real interesting that we're all going through it together as well right it's not like there quake in 89 or I was in Mount st. Helens and that blew up in in 1980 where you had kind of a population that was involved in the event now it's a global thing where were you in March 20 20 and we've all gone through this indeed together so hopefully it is a little bit of a more of a unifying factor in kind of the final thought since we're referencing great books and authors and quotes right as you've all know Harare and sapiens talked about what is culture right cultures is basically it's it's a narrative that we all have bought into it I find it so ironic that in the year 2020 that we always joke is 20/20 hindsight we quickly found out that everything we thought was suddenly wasn't and the fact that the global narrative changed literally within days you know really a lot of spearhead is right here in Santa Clara County with with dr. Sarah Cody shutting down groups of more than 150 people which is about four days before they went to the full shutdown it is a really interesting time but as you said you know if you're fortunate enough as we are to you know have a few bucks in the bank and have a business that can be digital which you can if you're in the sports business or the travel business the hotel business and restaurant business a lot of a lot of a lot of not not good stuff happening there but for those of us that can it is an opportunity to do this nice you know kind of a reset and use the powers that we've developed for recommendation engines for really a much more power but good for good and you're doing a lot more stuff too right with banking and in in healthcare telemedicine is one of my favorite things right we've been talking about telemedicine and electronic medicine for now well guess what now you have to cuz the hospitals are over are overflowing Jeff to your point three stories and you know then at some point I know you have you I will let you go you can let me go I can talk to you for four hours I can talk to you for but days my friend you know the three stories that there have been very relevant to me through this crisis I know one is first I think I guess in a way all are personal but the first one you know that I always like to remind people on there were business models built around allowing people to complain online and then using that as almost like a a stick to find a way to commercialize it and I look at that all of our friends I'm sure you have friends have lots of friend the restaurant is big and how much they are struggling right they are honest working the hardest thing to do in life as I've been told and I've witnessed through my friends is to run a restaurant the hours the effort you put into it making sure that what you produce this is not just edible but it's good quality is enjoyed by people is sanitary is the hard thing to do and there was yet there were all of these people you know who would not find in their heart and their minds for two seconds to go post a review if something wasn't right and be brutal in those reviews and if they were the same people were to look back now and think about how they assort the same souls then anything to be supportive for our restaurant workers you know it's easy to go and slam them online but this is our chance to let a part of the industry that we all depend on food right critical to humanity's success what have we done to support them as easy as it was for us to complain about them what have we done to support them and I truly hope and I believe they're coming out of it those business models don't work anymore and before we are ready to go on and online on our phones and complain about well it took time for the bread to come to my table we think twice how hard are they working right number one that's my first story I really hope you do tell me about that my second story is to your have you chained to baby with Mark my kids I'm sure as your kids get up every morning get dressed and launch you know their online version of a classroom do you think when they enter the workforce or when they go to college you and me are going to try and convince them to get in a oil burning combustion engine but by the way can't have current crash and breakdown and impact your health impact the environment and show up to work and they'll say what do you talk about are you talking about I can be effective I can learn virtually why can't I contribute virtually so I think there'll be a generation of the next class of you know contribute to society who are now raised to live in an environment where the choice of making sure we preserve the planet and yet contribute towards the growth of it is no longer a binary choice both can be done so I completely agree with you we have fundamentally changed how our kids when they grew up will go to work and contribute right my third story is the thing you said about how many industries are suffering we have clients you know in the we have health care customers we have banking customers you know we have whoever paying the bills like we are are doing everything they can to do right by society and then we have customers in the industry of travel hospitality and one of my most humbling moments Jeff there's one of the no sea level executives sent us an email early in this in this crisis and said this is a moment where a strong David can help AV Goliath and just reading that email had me very emotional because they're not very many moments that we get as corporations as businesses where we can be there for our customers when they ask us to be their father and if we as companies and help our customers our clients who area today are flying people are feeding people are taking care of their health and they're well if V in this moment and be there for them we we don't forget those moments you know those as humans have long-term memories right that was one of the kindest gentlest reminders to me that what was more important to me my co-founder Richard you know my leadership team every single person at Reseda that have tried very hard to build automations because as an automation company to automate complex human process so we can make humans do higher order activities in the moment when our customers asked us to contribute and be there for them I said yes they said yes you said yes and I hope I hope people don't forget that that unicorns aren't important there are mythical animals there's nothing all about profits there's nothing mythical about fortress balance sheet and there's nothing mythical about a strong business model that is built for sustainable growth not good at all cost and those are my three stories that you know bring me a lot of lot of calm in this tremendous moment of strife and and in the piece that wraps up all those is ultimately it's about relationships right people don't do business I mean companies don't do business with companies people do business with people and it's those relationships and and in strong relationships through the bad times which really set us up for when things start to come back I me as always it's I'm not gonna let it be three years to the next time I hear me pounding on your door great to catch up you know love to love to watch really your your culture building and your community engagement good luck I mean great success on the company but really that's one thing I think you really do a phenomenal job of just keeping this positive drumbeat you always have you always will and really appreciate you taking some time on a Friday to sit down with us well first of all thank you I wish I could tell you I just up to you but we celebrate formal Fridays that to Seder and that's what this is all so I want to end on a good on a positive bit of news I was gonna give you a demo of it but if you want to go to our website and look at what everything we're doing we have a survival kit around a data survival kit around kovat how am I using buzzwords you know a is let's not use that buzzword right now but in your in your lovely state but on my favorite places on the planet when we ran the algorithm on who is ready as per the government definition of opening up we have five counties that are ready to be open you know between Santa Clara to LA Sacramento Kern and San Francisco the metrics today the data today with our algorithm there are meta algorithm is saying that those five counties those five regions look like I've done a lot of positive activities if the country was to open under all the right circumstances those five look you know the first as we were men at on cream happy Earth Day a pleasure to see you so good to know your family is doing well and I hope we see we talk to each other soon thanks AVI great conversation with avi Mehta terrific guy thanks for watching everybody stay safe have a good weekend Jeff Rick checking out from the cube [Music]

>>Hi, I'm Peter Burress. And welcome to another cube conversation. This one from B M sees Helix Immersion Days and Santa Clara, California The Senate Clara Marriott. Every organization of any scale now has to lean on their suppliers in the technology world in different ways. It used to be you could almost have an antagonistic relationship with whoever was offering you technology. But today, every business is becoming increasingly dependent on technology suppliers that are providing crucial strategic service's. And that relationship is changing the way we think about technology. That is nowhere more obvious than the Manage service's provider space or the MSP space, which is highly dependent upon very complex delivery of very rich service's and a set of analytics that air allow the many service provider in the business to work together to achieve strategic ends. Now have a conversation about how that's working and how that's changing. We've got a great cube conversation got Aldo Romero, who's the cross service is deputy director at Keio Networks Mexico. Alda, Welcome to the Cube. So let's start with what is key networks tell us a little bit about Kiyo Networks. >>Okay, Kyo networks. Personally, he canna from dad and me, you know so much. Probably. Service is a technology. Inform us on the mission critical tenemos court. Enter data centers until Mexico Panorama making quarter political American Guatemala. So if >>we think about this challenge upfront, I said that increasingly, business has to think about treating its suppliers differently in the manage service providers at the vanguard of that, what catalyzed Keogh Network's decision to start thinking about how digital service is and operations management. We're gonna have to start coming together so that you could provide a better set of managed service capabilities to your clients. >>Another 50 are intellectuals For most of the heat does Bella Paralysis. Harvey Seo is a wall of stones in front under the remit Parma coral and triggers. A reason was clean and it's Santy Okay, on a work visa, no Russian grand plataforma CCTV shows was gonna transform our nose and Monroe and Moroccan era Watson was clean. A the city most cake. Alex LaMarca Hello, Obama said a roller. I mean telekinesis. Thomas put up a little emporia. Sorry. C'mon, process. So that's a gimme into control. Purple rules transformer heat element. So as >>you think about using BMC Helix and other classes of technology. You must have a vision in mind of where your relationships and how your service is are gonna be provided. Tell us a little bit about the relationship that you have with BMC Helix and how it's informing and altering and adjusting the promises in the value propositions that you have to your manage. Service customers. >>LaMarca parties with the most. The teleconference. A Norman 10. Vamos a bodyguard Transformer journals. You have a key on networks LLC and technology on the set of issues it processes your lot ago, most in your mutual momentous and those qualities of Israel experience. Check every message from Ministro. Probable servicios is most polio liberal exito process a literal form. A syndicate tile in our mentor mentor now look innocent of all arsonist risk. Leontes, his former meant importante para nosotros a parabola guarantee survey. No Star Service >>manage Service's has been around for a while. We're now talking about Cloud Service isn't as important subset of the manage service of space, but as one that over the course of the next few years might even become more important, especially in countries like Mexico that are growing so fast and introducing increasingly complex capabilities within their economies. As Keogh Networks evolves, do you see yourself being a leader in how cloud service is evolve as well? >>See if you determine, take yours leader in Lapa Improbable level problems servicios the clout that most officials the club go on Amazon. The notary's is the cloak on Microsoft tennis officials that throughout the opening stock include Syria. Infinity tormented knows Romans camellia in America. >>So one last question as you envision moving forward with this increasingly combined digital service, is management and operations management. What kind of leadership are you looking to be? Him? See? He looks for >>Leader Yasuoka. Stumbled booze can do is for their their arms. Trustee in testing facility. Tireless operaciones Sartre Business officials. The mission. Critical contextual. Here's the MTA cameras were Mr Alex Cee Lo Vamos con una Fortaleza, You know, in a para para nuestros revisions in America, he said, mass value. So spar partners >>Aldo Aldo Romero. Thank you very much for being on the Cube. Thank you. All the romero is tthe e Crawl Service is Deputy director Keogh Networks in Mexico, and once again, I'm Peter Burns. This has been another cute conversation until next time

>>Live from Las Vegas. It's the cube covering splunk.com 19 brought to you by Splunk. >>Hey, welcome back. Everyone's the cubes coverage here in Las Vegas for Splunk's dot com I'm John, the host of the cube. This is Splunk's 10th year user conference is the cube seventh year. We've been riding on the same wave with Splunk over the years and just watching the phenomenal growth and changes at the level of data at scale we've been covering. We can remember I said from day one data at the center of this, not just log files is now gone. Beyond that, we're here with Carrie Pailin, the CMO, chief marketing officer for Splunk. Welcome to the cube. Thanks for coming on. Thank you so much. It's great to be here. The folks that know us know about spunk. Notice the color changes in the background, the popping kink, burning yellow, orange underneath, new branding. You're new to Splunk story, career in technology. Um, this is exciting. And then portfolio, there's all the news is a phenomenal good news flow. >>Very relevant, right on Mark. Data is now creating value and datas like software. It's enabling value. Splunk software and solution platform has done that and this new new grounds to take. But you're now setting the agenda for the brand and the company tell us, I mean, it's a marketer's dream. What can I say? It's a, you know, I joined nine months ago and when I was interviewing for the role, I remember Doug Merritt saying to me, Hey, you know, we might be the only $2 billion enterprise software company that nobody's ever heard of. Amy said, I want to go solve for that. Right? Like the folks who know Splunk and our customers, they love us, our product is awesome and our culture is awesome, but the world doesn't know about us yet and we haven't invested there. So I want to go take the brand to the next level. >>And I want the world to understand what data use cases are out there that are so broad and so vast. And we believe that every problem ultimately can be solved through data or almost every problem. And we wanted to set the stage for that with this new brand campaign. Yeah. Just on a personal note. And following the journey of Splunk, a scrappy startup goes public and growth modes. When you're a growth Moe is hard to kind of lay down foundational things like branding and whatnot. But now sponsor leader, we did a poll within our community and for cloud and on premise security, Splunk's the number one supplier for just laws with workloads. And then now cloud security is kicking in. So the relationship to Amazon, Google cloud platform and Azure is a critical part of Splunk is now the leader. So leaders have to do things like make sure that their brand's good. >>This is what you're doing. Take us behind the scenes of the branding, the things you chose and data for everything. Yeah. D the little small nuance data to everything. Um, and the reason behind that was we believe you can bring and we can enable our customers to bring data to every question, every decision and every action to create meaningful outcomes. And the use cases are vast and enormous. We talked about some of them before the show started, but helping look at global law enforcement, get ahead of human trafficking through SPOHNC and spelunking. What's going on across all sorts of data sources, right? Helping zone Haven, which is our first investment from Splunk ventures, which startup that's actually helping firefighters figure out burn burn patterns with fire wildfires. But also when temperatures and humidity change where sensors are, they can alert firefighters 30 to 45 minutes earlier than they would usually do that. >>And then they can also help influence evacuation patterns. I mean it's, it's remarkable what folks are doing with data today and it's really at the, at the core of solving some of the world's biggest issues. It's hard to tell a story for a company that solves some of the use cases. Yes. Because depending on who you talk to, that's the company. This is what we should be telling them. I know you do this over here, so when you're horizontally creating this kind of value, yeah, it's hard to kind of brand that because it will get a lot of opinions because you're doing a lot of different things. There's not like one vertical. That's right. So this is the challenge that most B to B marketers will fall on the trip. We do this because we have a lot of customers in this one segment. But yes, you guys are hitting so much more. >>How did you deal with that? Ha, we had a lot of talks about it, a lot of discussions, a lot of debate and I love diversity of thought. It usually drives the right outcomes, but we had a lot of this, this is not an easy answer. If it had been, it would have been done years ago and we really talked about setting the stage for where, you know, I love the Wayne Gretzky quote about skate to where the puck is going and that's what he always did and that's why he was so good. We believe there will ultimately be a data platform of platforms and we believe Splunk is that platform, right? And so that's where the industry's going. We wanted to cast a net that would take us there so that this is the beginning of a brand evolution for us and not a total rebrand, but it's setting the stage for a category creation that we believe is coming in the industry. >>A few. You guys are smart and I think my observation would be looking at some of our 10 years of reporting and sharing some on digital is that all the conversations around data is impacting the real world. Yes. You see Mark Zuckerberg and on Capitol Hill having the answer to the date of debacles, he has cybersecurity attacks, national security, um, ransomware taking down cities and towns. This is a real impact. Forest fires disrupting rolling blackouts. So technology's impacting real world lives. That's right. This is really new to tech. I mean usually behind the scenes, you know, coding, but not anymore. We're the front lines of real societal, global. Yes. Jade is at the forefront and it's really exciting. It's also frightening, right? Because we believe data presents the greatest opportunity for humanity, but also some of the greatest threats. And so hence our ability to really dig in on data security. >>It's important to do that while we're actually also surfacing data to solve real world issues. You've been in the industry for a while and when you came to Splunk, boasts a couple of things that surprised you as you, you had some thoughts going in, you knew Splunk. Yes. What are some of the things that surprised you when you got here? Oh, I mean, in such a good way. A few things, you know. Well, here's the story. Three days into being at Splunk, my dad got very ill and I wasted him to Austin for heart surgery and he actually didn't make it. Um, and so it's been a rough year to say the least. And uh, the way that Splunk's culture, I knew about it before I came, but the way that this company treated me, like I had been here 10 years, uh, when I'd really only been an employee three days was something I'll never forget. >>And it's, it's special. Um, and so I believe that companies are successful if they are smart and healthy and in Splunk has the healthy and droves and not just the compassion and the empathy, but you know, a very transparent culture. We debate things, we talk about things, we support each other. We are accountable. And I believe that's a big part of why we've grown so fast because our culture is incredibly healthy and very, um, collaborative as a team. I'm sorry for your loss. Thank you. Um, you mentioned the culture is a big part of Splunk. Yes. In talking to some of the folks that spoke over the years, there's no, I will, I'll totally say this. There's no shortage of opinions, so have not volunteered. These are robustness. Yes. Diversity of thoughts, very actionable communities. How do you, um, how do you look at that? Because that's a, could be a force, a force multiplier. >>Yes. For the brand. How are you going to tie in to everything with the community? How are you going to harness that energy? Yeah. So it's coming and the reality is data to everything is actually a set up to tell the stories of everyone who is using data today. And so the community is going to be one of the first places we go to surface. Some of those amazing stories. Um, and some of the things you see here at the show are actually showcasing that in the keynote today we heard from zone Haman and Porsche and so many others around their use cases. But the community is where it all begins and that's the lifeblood of our sort of spunkiness and a something that we don't take for granted once. One second. Sorry about the Barack Obama. Yeah. Directions with him and his interest in Splunk. Yeah. So we had our big re rebrand a reveal last month we had an event and it was for C suite type of folks. >>That was a very intimate event and we wanted somebody to keynote that and headline that that really brought to life the whole notion that you can bring data to everything. And president Obama was the first POTUS that actually use data in his campaign strategy. He's very open about that. He's the first president to appoint a chief data scientist to the white house. He's actually exceptionally geeky and very data-driven. And so when we asked him to come and headline this, he actually was really excited about it. Um, and you know, in, in great fashion, his communications team was really strict on curating the questions that we had for him. And he was so cute. He showed up to the event and he said, look, um, I'm so thrilled to be here. I love what you guys are doing and you can ask me anything. It's just like ready to go. >>And he was so wonderful and teed up this, this notion of day bringing data to everything so brilliantly. He's kicking, dig and be ad live all the time. He's very colorful as well as personality. Yes. He's kind of nerdy and you know, he was very open and OpenGov too. One of the things that I remember and when big data really started rolling into the scene around 2009, 2010 yes. You saw that opening up data registries from cities and towns and actually created innovation from health care medical supplies? Yes. Yes. So this has been a big part of it. Huge. You guys are doing some things out here and I see the exhibits we're using the day you're doing demos. How do you see you guys helping society with that? Because if you get to the next level, you've got some great use cases. Yes, the public sector is a big part of some news here. >>Fed ramp is one little technicality, but you got some certification, but government's modernizing now. So you know post Obama, you're seeing modernization of procurement roll with cloud, certainly cyber security. Amazon with the CIA, department of defense, role of data in the military and public sector. Yes, education. This is going to be a disruptive enabler for faults on the public impact. I mean, look, there's, you know, Doug touched on this a little bit this morning, the reality in our press conference, but the reality is if you do it right, opening up datasets to communities of people that can do better together and you can get this collective momentum going. For instance, in healthcare, I mean I'm a little bit of a health care nerd and I don't know if you've watched the PBS special on the Mayo clinic, it's spectacular. But one of the reasons the Mayo has been amazing for years is because their doctors all work off the same systems in every discipline in that facility and they can learn more holistically about a patient. >>And I think about the impact that data could have if we could open up those data sets across every health provider for one person or the same illness with every major institution across the U S collaborating and sharing and what we could actually do to make real impact and strides against some of the diseases that are really crippling society today. So I think that the good that we can do with data, if we open up those data sets and do it in a way that, that it's safe. It's remarkable the progress we can make. You know, one of the from machine learning has been a big success story. Machine learning toolkit. Customers are raving about it. Opening up the data creates better machine learning. AI creates better business value. That's right. That's that part of how you guys see things rolling out. Sure. I mean, as a marketer we use AI today and it's really more machine learning. >>It's sad pattern recognition. But we use, uh, you know, my last stand as a CMO, the last company I was at, we use an AI bot to augment our sales headcount for following up on leads. And it looked like a human being. I mean, same thing for Splunk. I mean, the more we can see pattern recognition, proffer up insights, the better off we are to help out our customers. And so Tim Teles team is driving that hard and fast into our innovation curve with everything that we do. Innovation culture, big time here, right? Huge, huge and one of the reasons I came to Splunk is when I interviewed with Tim and I said, Hey, how are you doing on recruiting engineers in the Valley? We all know that that is liquid gold, and he said that he had hired 370 odd engineers in less than a year and from really big brands like Airbnb and I thought, all right, there's some really cool innovation going on here. >>If some of the best engineers in the Valley really want to come work here and they want to work for a great leader, and Tim and his team are that. so.com is 10 years now this year has been riding the wave together. It's been fun. Your first, my very first dotcom. Yes. Your thoughts on this, on this community, this event. Share your, your thoughts. I mean I'm blown away and this is a team sport. I'm so proud of the events team, the creative team, the sales teams, everybody who's come together to make this event so spectacular. It's just sort of mind numbing that a company of our size can put on such an experience for our user community, but I'm also thrilled with the engagement. We have over 300 sessions this week and most of them are user and customer use, case driven and the stories they are telling are magnificent. >>They're doing this all with Splunk, so it's pretty special. And the ecosystem and the app showcase is pretty hot here. You're seeing real applications, people writing code on top of Splunk? Yes, it's, it's, I'm sorry I don't use this word often. I'm 48 but it's rad. It's so cool. Yes. Harry, thanks so much for coming on the cube and sharing your insights. Absolutely. Final thoughts for the people who aren't here at the event, watching on camera, what, how would you encapsulate.com this year? What's the top story that needs to be told? I mean, look, the reality is that we are bringing data to way more than just security and it ops, which has been our core use cases forever, and they will continue to be, but folks are that are not incredibly data literate or through Splunk bringing data to everything and solving some big gnarly issues in the world. And it's pretty exciting stuff. So check us out. All right. Thanks. Gnarly red. Cool. I need a surf board, Jerry. Thanks for coming on Friday. Thank you so much. Coverage here@thetenth.com I'm Jennifer with the cube, bringing you all the action here in Las Vegas. Three days of cubed wall to wall coverage. We've got one more after this short break.

>>live from Boston, Massachusetts. It's the Q covering I. F s World Conference 2019. Brought to you by I. F s. >>Welcome back to I f s world Everybody, This is David Dante with Paul Dillon and you're watching the Cube, The leader in live tech coverage. Where here from? From the Heinz Auditorium. Nick Ward is here. He's the head of OM Digital Solutions for Rolls Royce and Scott Helmer, president of the F S aerospace and defense. Gentlemen, welcome to the Cube. Thanks for coming on. Thank you. Scott. I want to start with you. We heard a lot about digital transformation. You guys are in the heart of that. Ah, defense. Aerospace is one of those industries that hasn't been dramatically disrupted. Like publishing. Are you seeing taxis? It's a It's a high risk business. It's one that's highly in trench, but it's not safe from disruption. What are the major trends that you're seeing in your space and paint a picture for us? If you would, >>uh, that's a very good question. You're right. The same level of disruption related digital transformation has not yet common aerospace. Defense is that has come to some of the other league leading industries. But this is a whether it's land based operations, naval operations or aircraft operations. This is an asset intensive industry. It's characterized by a very connected network of organizations. Be the manufacturer's operators, subsystem, part suppliers or just maintainers. They stay connected throughout the asset life cycle in its entirety. I f F f s has a portfolio capability. There's four purpose underpinning the critical business processes of those organizations that enables us to be the digital thread to continue the connection of those organizations throughout that outs of life cycle, if you will, that sees this fall come to come to be at the heart of asset lifecycle Management on provides us with the opportunity to inform information insights for our customers. Like return on experience data on aircraft engines where an old GM like Rolls Royce, for example, can harvest that data to analyze the performance of those assets and ultimately optimized thereafter after service offerings. >>Who are the customers? I mean, there's a limited number of companies that make aircraft engines so you don't have a huge domain been numbers of those kinds of companies. But are the customers channel their partners the supply chain network >>Well, the ecosystem is actually large and extensive. They're very recognizable names, and it's certainly an industry that's characterized by significant growth. On the commercial side. Amaro continue is in the midst of a boom and is likely to continue to grow, are expected to continue to grow for at least another decorate decade. And on the defense side, we see military budgets continue or increasingly moving towards sustainment and serve it ization on a performance basis. So the number of organizations that are participating in that value chain whether they're just the upstream, only am so I should just upstream. But the Austrian Williams participate in the design and development are moving into the aftermarket sustainment and service support parts and subsystem supply, or ultimately, third part repair organizations. It's actually quite an extensive network participating in that asset life cycle. >>So, Nick, you know people here Rolls Royce, they think you know the iconic brand. We're gonna talk about cars, talk about your role at Rolls Royce and what's going on in your business. >>So my role I lead our product management function looking are digitally enabled. Service's so for 20 years we've been running a service we call total care. Total care is like a fixed dollar rate. Every time an aircraft flies, we paid a dollar rate for it. Flying. What's really great about that is we're incentivizing. No, I am exactly the same way that airline isn't said device. Keep the aircraft flying. It owns revenue for the airline. It owns revenue for us on that revolutionized relationship between oh am on operator. So within my role, it's about taking four division we call The Intelligent Engine. Intelligent Engine is recognizing the way that digital is starting to pervade the way we think about service is so we've talked about physical engine, big rotating piece of metal that people see service. Is that wrap around that on the digital brain that sits behind all of those sources? That's what we call the intelligent engine. >>Yes, so people sometimes think the mission critic critical piece of air travel is the reservation system. It's not. It's the thinness of the engines available that was lost in critical system, right? You mean like it? If you don't get your reservation Oh, well, somebody else will get it. Not not the end of the world But for the maintenance piece, that's all right. >>Job. You know, our fundamental mission is every rose was powered. Aircraft flies on time every time. All right, there's no disruption. There's no delay that works for the operator, for the airlines are owner of the aircraft. It works for us. And this is why the confluence of our incentives comes together and it really works well. >>So what role has technology played in terms of evolving that that experience? I mean, I'm sure, you know, years ago, it used to be a lot of tribal knowledge. Gut feel. Joe the mechanic really knew his stuff. Etcetera, etcetera, Powers. Technology evolved and changed your your business. >>So you had to go back to the business model, right? So technology should follow. The business model business model is fundamental risk transfer. So we take the risk off cost, fluctuation, availability, whatever it is away from the airline and we take it on to us is the Obama's Rolls Royce said the money's at risk. You gotta get really good forecasting. Four. Custom becomes your core skill almost because you've got to understand all the risk drivers understand how to optimize him, understand out of work around that in order to have a successful business. And you can't forecast without data without digital twins without all I ot and cloud and all the while the enablers allow you to sort of new to new generations of capability. >>So you're forecasting what probability of, ah, component failure, the life of ah, failure. How long it takes to bring stuff back on sure >>cost really on three different levels. So we do an engine forecast which is looking at the health of the life of the components in the engine, looking for any reasons why the engine might be forced off the wing. We're looking at a fleet level. So we're looking at all of the things that might affect the global fleet in terms of maintenance demands need for overhaul of those such things. And we forecast that out after 30 years, really accurately, as an engine leaves the factory, we know pretty much within 90 something percent everything that engine is going to require from the maintenance 20 to 30 years and then a network level. We're forecasting the capacity demand that we then need to meet within our maintenance shops globally. >>Well, He's obviously Paul. Been progress, right? We used to fly with very common four engine plains across the pond right now. Two engines. In fact, you don't want to fly in the four engine to engine more reliable. >>You've You've been a Rolls Royce for over 15 years. What have you seen as a result of all this technology is predicted maintenance technology. What impact is that? Had on equipment of reliability on life cycle on fuel efficiency. >>Huge, huge. I think if you don't have the data and you don't have the digital twin kind of capability behind you, you have to treat every engine like it's the worst engine in the fleet because you don't have the data tell you it isn't right. So everything is treated extremely extreme conservatism. If you have the data and you have the models and you have everything else around you, you treat engines, individuals. They have individual histories, individual configuration, individual experiences. Because of individuals. You tailor your maintenance intervention to keep that engine flying as long as you can on, you don't have to be his conservative. You can weed that conservatism out of the process, and that means it stays on wing 40 50% longer. It's flying for the airline that much longer. Revenues. Passengers are flying. There's less disruption. >>So what do you What do you do with my f s? What's the what's >>So Because we created this intelligent engine kind of next generation leap forward in that capability, we need data. So we have, ah, program we call the Blue Data Threat. The blue data traded in a global initiative that we're rolling through all of our 200 plus airline customers. How do we form a win win transaction with the airlines? Give us better data will make smarter decisions. You'll see less disruption, more availability. We'll share our data. Back with you is an operator. So this is a very simple, very nice cashless transactions. So with my intern X, because we share a number of customers, Scott has got a number of airline customers. Big airline customers were operating the maintenance system. What way do together? Is reform a plug in? It's like for us. We can go to an airline, and we can say you have total care inside to borrow an intel phrase. So he complied into the rosary service is seamlessly automated. The data can flow very little burden or effort on to the I t group of the outline. The data flows into our organization. We do what we do when we can push our date again back into the airline systems with updated form, their availability >>so key to that key to that value, Jane is obviously that common customer base. But critical to the work that Rolls Royce stuns does is the accuracy and reliability of the data They get to inform their own performance analysis and maintenance, availability information and the eye if it's made installed. Base leverage is a very rich data from the return on experience of the engine utilization that Nick and is able to use this part of the Blue data threat offering back to their customers. And together we're able to deliver unprecedented levels of value to airline customers and optimizing the availability of their assets. >>Nick, have you? Are you finding new ways to monetize this data beyond just improving the customer experience, a bond with your customers or their new revenue avenues >>for you? So I think within this is absolutely key that everybody within this transaction recognizes this is this is not a revenue opportunity for Rosa. This is a cashless transactions because there's a lot of sensitivity that data belongs to the airline, right? So you have to be very clear and open. That data is driving Rolls Royce to make internal improvements, so we will save a little bit on our bottom line of delivering the service's they've already bought in order to get better. Outcomes of those service is so It's a little early for the service. You were thinking about >>this a little bit like security. In that sense, you know of bad guys are trying to get there. So So the good guys to share data. It's a cashless transaction, and everybody we >>believe is a market collaboration on data is got to be the way Ford's >>Scott could. You double click on the Ecosystem and A and D, obviously different from the sort of core traditional you know, e r. P world. The importance of the ecosystem may be what it looks like, described the >>That's an insightful question, Dave, certainly the partner ecosystem in inner space and defense is somewhat differentiated. I don't want to go so far as to say that it's unique, but it's somewhat differentiated from Corey RPS. As you duly noted partner, our four persecuted for four purpose capability around the critical process is for manufacturers. Maintainers on, uh, parts and subsystem supply organizations is all the potential, and it's a promise. But that value can only be realized to the collaboration with partners who doom or an aerospace and defense and just support delivery and implementation capability. They provide value added service is around business process, reengineering, change, enablement as well as their partners and co innovation as well. Certainly the collaboration we have with Rolls Royce is certainly a new level of collaboration around innovation that hasn't been seen before. So those partners are critical to our ability to deliver that value to our customers. Secondarily, we have our partners are actually a route to market in the traditional sense of referral system like you would see in Corriere P. But more importantly, as an indirect route to market as channels to their end customers, almost I s v ng. Our capability to support the delivery of service is to their customers. >>So it's the it's the manufacturers of the Plains, For example, it's the airlines themselves. It's manufactured the engine defectors, >>the maintainers. So the M R organizations that do the work around repair, and it's the entire ecosystem of organizations to support the supply chain. Our partners are both in themselves as well as partners in delivering the capability to those organizing. >>And it's a data pipeline throughout that value chain a digital thread that you guys actually have visibility on, correct your value. Add to the and >>we have the opportunity to play a vital role between within that equal system in allowing and enabling the connective ity of that network between Williams and their customers between the operators and their maintainers. For example, we've got a collaboration with an airline right now where we're going to connect them directly with the third party organizations that they rely on for airframe repair. For example, >>I want to ask you about the aerospace business it used to be that used to be a very small market in terms of the number of customers. Now we've got Space X. We've got the private areas, three private aerospace companies. We've got different countries now. India, China getting involved. What impact is that having on your business. >>Certainly we're seeing the emergence of spatial program's playing a taking up a larger share of off of government or public sector budgets. And people are beginning to think about how to leverage or harvest the value from utilization of spatial assets and again are enabling capability. To be a collector of that data and supply it back as an information in sight to those were reliant on the data that is collected is a vital role that we play in that ecosystem. >>So when I was when you were describing the ecosystem value chain, it strikes me that there's there's clearly a whole lot of metrics going on. Are there new levers, new metrics, emerging new levers that you can pull to really drive a flywheel effect in the industry? One of the key key performance indicators that you're really trying to optimize visiting? This is >>Certainly this is certainly an industry that characterizes as an intensive, complex mobile and in this case complex in mobile or a pseudonym for very expensive assets. So everything around availability, reliability are all key drivers are performance indicators of our customers ability to realise the value from those assets and our role in that is to provide them with the information inside to be able to make optimal decisions to maximize that availability. >>Anything you dad, >>I think in this day and age things like technical dispatcher alive. Relative engines is so high, high 99 sort of percentage. You have to start focusing on things like the maintenance costs to achieve that. Driving your maintenance costs down, but still retaining your really high availability. That becomes a really interesting balance. You could have under percent of relevancy. What it's gonna cost a fortune. You don't want that. >>Well, gentlemen, thanks so much for coming on. The cute, really fascinating discussion. Thank you. Great to have you. All right, you're welcome. And keep it right there, buddy. Paul Gill on day Volante from I F s World in Boston. You're watching the Cube right back Right after this short break