Gabriela de Queiroz, Microsoft | WiDS 2023
(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)
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but you know, 'cause you've been watching. I'm so excited to be talking to you. Like a dream come true. So you have a ton of is that you can move across domains. But you also have a lot of like people that you can find. because that is the Exactly, and I love to hear And not only woman, right. that I'm good at the other Or is that just who you are? And I joke that I want And I feel like when You're a rockstar. I'm loving this. So yeah, I think like you the catalyst to launch it. And I was going to this event And I was like, and like how did the special I saw some of like the main more people that look like you If you don't have a community around you, There is no one that you Make sure that you have a mentor. and feeling like you belong- it's like seeing the old friends again. And I feel like that For the rest of the year. And of course you can be everybody to the front. you didn't know. do you realize there was on the Obama administration. because you can see it, I always think, you know, What would you say to them? are from like a non-linear track that doesn't require you to I know you inspired me. you so much for your time. Thank you. the eighth annual Women
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Myriam Fayad & Alexandre Lapene, TotalEnergies | WiDS 2023
(upbeat music) >> Hey, girls and guys. Welcome back to theCUBE. We are live at Stanford University, covering the 8th Annual Women in Data Science Conference. One of my favorite events. Lisa Martin here. Got a couple of guests from Total Energies. We're going to be talking all things data science, and I think you're going to find this pretty interesting and inspirational. Please welcome Alexandre Lapene, Tech Advisor Data Science at Total Energy. It's great to have you. >> Thank you. >> And Myriam Fayad is here as well, product and value manager at Total Energies. Great to have you guys on theCUBE today. Thank you for your time. >> Thank you for - >> Thank you for receiving us. >> Give the audience, Alexandre, we'll start with you, a little bit about Total Energies, so they understand the industry, and what it is that you guys are doing. >> Yeah, sure, sure. So Total Energies, is a former Total, so we changed name two years ago. So we are a multi-energy company now, working over 130 countries in the world, and more than 100,000 employees. >> Lisa: Oh, wow, big ... >> So we're a quite big company, and if you look at our new logo, you will see there are like seven colors. That's the seven energy that we basically that our business. So you will see the red for the oil, the blue for the gas, because we still have, I mean, a lot of oil and gas, but you will see other color, like blue for hydrogen. >> Lisa: Okay. >> Green for gas, for biogas. >> Lisa: Yeah. >> And a lot of other solar and wind. So we're definitely multi-energy company now. >> Excellent, and you're both from Paris? I'm jealous, I was supposed to go. I'm not going to be there next month. Myriam, talk a little bit about yourself. I'd love to know a little bit about your role. You're also a WiDS ambassador this year. >> Myriam: Yes. >> Lisa: Which is outstanding, but give us a little bit of your background. >> Yes, so today I'm a product manager at the Total Energies' Digital Factory. And at the Digital Factory, our role is to develop digital solutions for all of the businesses of Total Energies. And as a background, I did engineering school. So, and before that I, I would say, I wasn't really aware of, I had never asked myself if being a woman could stop me from being, from doing what I want to do in the professional career. But when I started my engineering school, I started seeing that women are becoming, I would say, increasingly rare in the environment >> Lisa: Yes. >> that, where I was evolving. >> Lisa: Yes. >> So that's why I was, I started to think about, about such initiatives. And then when I started working in the tech field, that conferred me that women are really rare in the tech field and data science field. So, and at Total Energies, I met ambassadors of, of the WiDS initiatives. And that's how I, I decided to be a WiDS Ambassador, too. So our role is to organize events locally in the countries where we work to raise awareness about the importance of having women in the tech and data fields. And also to talk about the WiDS initiative more globally. >> One of my favorite things about WiDS is it's this global movement, it started back in 2015. theCUBE has been covering it since then. I think I've been covering it for theCUBE since 2017. It's always a great day full of really positive messages. One of the things that we talk a lot about when we're focusing on the Q1 Women in Tech, or women in technical roles is you can't be what you can't see. We need to be able to see these role models, but also it, we're not just talking about women, we're talking about underrepresented minorities, we're talking about men like you, Alexander. Talk to us a little bit about what your thoughts are about being at a Women and Data Science Conference and your sponsorship, I'm sure, of many women in Total, and other industries that appreciate having you as a guide. >> Yeah, yeah, sure. First I'm very happy because I'm back to Stanford. So I did my PhD, postdoc, sorry, with Margot, I mean, back in 20, in 2010, so like last decade. >> Lisa: Yeah, yep. >> I'm a film mechanics person, so I didn't start as data scientist, but yeah, WiDS is always, I mean, this great event as you describe it, I mean, to see, I mean it's growing every year. I mean, it's fantastic. And it's very, I mean, I mean, it's always also good as a man, I mean, to, to be in the, in the situation of most of the women in data science conferences. And when Margo, she asked at the beginning of the conference, "Okay, how many men do we have? Okay, can you stand up?" >> Lisa: Yes. I saw that >> It was very interesting because - >> Lisa: I could count on one hand. >> What, like 10 or ... >> Lisa: Yeah. >> Maximum. >> Lisa: Yeah. >> And, and I mean, you feel that, I mean, I mean you could feel what what it is to to be a woman in the field and - >> Lisa: Absolutely. >> Alexandre: That's ... >> And you, sounds like you experienced it. I experienced the same thing. But one of the things that fascinates me about data science is all of the different real world problems it's helping to solve. Like, I keep saying this, we're, we're in California, I'm a native Californian, and we've been in an extreme drought for years. Well, we're getting a ton of rain and snow this year. Climate change. >> Guests: Yeah. We're not used to driving in the rain. We are not very good at it either. But the, just thinking about data science as a facilitator of its understanding climate change better; to be able to make better decisions, predictions, drive better outcomes, or things like, police violence or healthcare inequities. I think the power of data science to help unlock a lot of the unknown is so great. And, and we need that thought diversity. Miriam, you're talking about being in engineering. Talk to me a little bit about what projects interest you with respect to data science, and how you are involved in really creating more diversity and thought. >> Hmm. In fact, at Total Energies in addition to being an energy company we're also a data company in the sense that we produce a lot of data in our activities. For example with the sensors on the fuel on the platforms. >> Lisa: Yes. >> Or on the wind turbines, solar panels and even data related to our clients. So what, what is really exciting about being, working in the data science field at Total Energies is that we really feel the impact of of the project that we're working on. And we really work with the business to understand their problems. >> Lisa: Yeah. >> Or their issues and try to translate it to a technical problem and to solve it with the data that we have. So that's really exciting, to feel the impact of the projects we're working on. So, to take an example, maybe, we know that one of the challenges of the energy transition is the storage of of energy coming from renewable power. >> Yes. >> So I'm working currently on a project to improve the process of creating larger batteries that will help store this energy, by collecting the data, and helping the business to improve the process of creating these batteries. To make it more reliable, and with a better quality. So this is a really interesting project we're working on. >> Amazing, amazing project. And, you know, it's, it's fun I think to think of all of the different people, communities, countries, that are impacted by what you're doing. Everyone, everyone knows about data. Sometimes we think about it as we're paying we're always paying for a lot of data on our phone or "data rates may apply" but we may not be thinking about all of the real world impact that data science is making in our lives. We have this expectation in our personal lives that we're connected 24/7. >> Myriam: Yeah. >> I can get whatever I want from my phone wherever I am in the world. And that's all data driven. And we expect that if I'm dealing with Total Energies, or a retailer, or a car dealer that they're going to have the data, the data to have a personal conversation, conversation with me. We have this expectation. I don't think a lot of people that aren't in data science or technology really realize the impact of data all around their lives. Alexander, talk about some of the interesting data science projects that you're working on. >> There's one that I'm working right now, so I stake advisor. I mean, I'm not the one directly working on it. >> Lisa: Okay. >> But we have, you know, we, we are from the digital factory where we, we make digital products. >> Lisa: Okay. >> And we have different squads. I mean, it's a group of different people with different skills. And one of, one of the, this squad, they're, they're working on the on, on the project that is about safety. We have a lot of site, work site on over the world where we deploy solar panels on on parkings, on, on buildings everywhere. >> Lisa: Okay. Yeah. >> And there's, I mean, a huge, I mean, but I mean, we, we have a lot of, of worker and in term of safety we want to make sure that the, they work safely and, and we want to prevent accidents. So what we, what we do is we, we develop some computer vision approach to help them at improving, you know, the, the, the way they work. I mean the, the basic things is, is detecting, detecting some equipment like the, the the mean the, the vest and so on. But we, we, we, we are working, we're working to really extend that to more concrete recommendation. And that's one a very exciting project. >> Lisa: Yeah. >> Because it's very concrete. >> Yeah. >> And also, I, I'm coming from the R&D of the company and that's one, that's one of this project that started in R&D and is now into the Digital Factory. And it will become a real product deployed over the world on, on our assets. So that's very great. >> The influence and the impact that data can have on every business always is something that, we could talk about that for a very long time. >> Yeah. >> But one of the things I want to address is there, I'm not sure if you're familiar with AnitaB.org the Grace Hopper Institute? It's here in the States and they do this great event every year. It's very pro-women in technology and technical roles. They do a lot of, of survey of, of studies. So they have data demonstrating where are we with respect to women in technical roles. And we've been talking about it for years. It's been, for a while hovering around 25% of technical roles are held by women. I noticed in the AnitaB.org research findings from 2022, It's up to 27.6% I believe. So we're seeing those numbers slowly go up. But one of the things that's a challenge is attrition; of women getting in the roles and then leaving. Miryam, as a woman in, in technology. What inspires you to continue doing what you're doing and to elevate your career in data science? >> What motivates me, is that data science, we really have to look at it as a mean to solve a problem and not a, a fine, a goal in itself. So the fact that we can apply data science to so many fields and so many different projects. So here, for example we took examples of more industrial, maybe, applications. But for example, recently I worked on, on a study, on a data science study to understand what to, to analyze Google reviews of our clients on the service stations and to see what are the the topics that, that are really important to them. So we really have a, a large range of topics, and a diversity of topics that are really interesting, so. >> And that's so important, the diversity of topics alone. There's, I think we're just scratching the surface. We're just at the very beginning of what data science can empower for our daily lives. For businesses, small businesses, large businesses. I'd love to get your perspective as our only male on the show today, Alexandre, you have that elite title. The theme of International Women's Day this year which is today, March 8th, is "Embrace equity." >> Alexandre: Yes. >> Lisa: What is that, when you hear that theme as as a male in technology, as a male in the, in a role where you can actually elevate women and really bring in that thought diversity, what is embracing equity, what does it look like to you? >> To me, it, it's really, I mean, because we, we always talk about how we can, you know, I mean improve, but actually we are fixing a problem, an issue. I mean, it's such a reality. I mean, and the, the reality and and I mean, and force in, in the company. And that's, I think in Total Energy, we, we still have, I mean things, I mean, we, we haven't reached our objective but we're working hard and especially at the Digital Factory to, to, to improve on that. And for example, we have 40% of our women in tech. >> Lisa: 40? >> 40% of our tech people that are women. >> Lisa: Wow, that's fantastic! >> Yeah. That's, that's ... >> You're way ahead of, of the global average. >> Alexandre: Yeah. Yeah. >> That outstanding. >> We're quite proud of that. >> You should be. >> But we, we still, we still know that we, we have at least 10% >> Lisa: Yes. because it's not 50. The target is, the target is to 50 or more. And, and, but I want to insist on the fact that we have, we are correcting an issue. We are fixing an issue. We're not trying to improve something. I mean, that, that's important to have that in mind. >> Lisa: It is. Absolutely. >> Yeah. >> Miryam, I'd love to get your advice to your younger self, before you studied engineering. Obviously you had an interest when you were younger. What advice would you give to young Miriam now, looking back at what you've accomplished and being one of our female, visible females, in a technical role? What do you, what would you say to your younger self? >> Maybe I would say to continue as I started. So as I was saying at the beginning of the interview, when I was at high school, I have never felt like being a woman could stop me from doing anything. >> Lisa: Yeah. Yeah. >> So maybe to continue thinking this way, and yeah. And to, to stay here for, to, to continue this way. Yeah. >> Lisa: That's excellent. Sounds like you have the confidence. >> Mm. Yeah. >> And that's something that, that a lot of people ... I struggled with it when I was younger, have the confidence, "Can I do this?" >> Alexandre: Yeah. >> "Should I do this?" >> Myriam: Yeah. >> And you kind of went, "Why not?" >> Myriam: Yes. >> Which is, that is such a great message to get out to our audience and to everybody else's. Just, "I'm interested in this. I find it fascinating. Why not me?" >> Myriam: Yeah. >> Right? >> Alexandre: Yeah, true. >> And by bringing out, I think, role models as we do here at the conference, it's a, it's a way to to help young girls to be inspired and yeah. >> Alexandre: Yeah. >> We need to have women in leadership positions that we can see, because there's a saying here that we say a lot in the States, which is: "You can't be what you can't see." >> Alexandre: Yeah, that's true. >> And so we need more women and, and men supporting women and underrepresented minorities. And the great thing about WiDS is it does just that. So we thank you so much for your involvement in WiDS, Ambassador, our only male on the program today, Alexander, we thank you. >> I'm very proud of it. >> Awesome to hear that Total Energies has about 40% of females in technical roles and you're on that path to 50% or more. We, we look forward to watching that journey and we thank you so much for joining us on the show today. >> Alexandre: Thank you. >> Myriam: Thank you. >> Lisa: All right. For my guests, I'm Lisa Martin. You're watching theCUBE Live from Stanford University. This is our coverage of the eighth Annual Women in Data Science Conference. We'll be back after a short break, so stick around. (upbeat music)
SUMMARY :
covering the 8th Annual Women Great to have you guys on theCUBE today. and what it is that you guys are doing. So we are a multi-energy company now, That's the seven energy that we basically And a lot of other solar and wind. I'm not going to be there next month. bit of your background. for all of the businesses of the WiDS initiatives. One of the things that we talk a lot about I'm back to Stanford. of most of the women in of the different real world problems And, and we need that thought diversity. in the sense that we produce a lot of the project that we're working on. the data that we have. and helping the business all of the real world impact have the data, the data to I mean, I'm not the one But we have, you know, we, on the project that is about safety. and in term of safety we and is now into the Digital Factory. The influence and the I noticed in the AnitaB.org So the fact that we can apply data science as our only male on the show today, and I mean, and force in, in the company. of the global average. on the fact that we have, Lisa: It is. Miryam, I'd love to get your beginning of the interview, So maybe to continue Sounds like you have the confidence. And that's something that, and to everybody else's. here at the conference, We need to have women So we thank you so much for and we thank you so much for of the eighth Annual Women
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Ian Colle, AWS | SuperComputing 22
(lively music) >> Good morning. Welcome back to theCUBE's coverage at Supercomputing Conference 2022, live here in Dallas. I'm Dave Nicholson with my co-host Paul Gillin. So far so good, Paul? It's been a fascinating morning Three days in, and a fascinating guest, Ian from AWS. Welcome. >> Thanks, Dave. >> What are we going to talk about? Batch computing, HPC. >> We've got a lot, let's get started. Let's dive right in. >> Yeah, we've got a lot to talk about. I mean, first thing is we recently announced our batch support for EKS. EKS is our Kubernetes, managed Kubernetes offering at AWS. And so batch computing is still a large portion of HPC workloads. While the interactive component is growing, the vast majority of systems are just kind of fire and forget, and we want to run thousands and thousands of nodes in parallel. We want to scale out those workloads. And what's unique about our AWS batch offering, is that we can dynamically scale, based upon the queue depth. And so customers can go from seemingly nothing up to thousands of nodes, and while they're executing their work they're only paying for the instances while they're working. And then as the queue depth starts to drop and the number of jobs waiting in the queue starts to drop, then we start to dynamically scale down those resources. And so it's extremely powerful. We see lots of distributed machine learning, autonomous vehicle simulation, and traditional HPC workloads taking advantage of AWS Batch. >> So when you have a Kubernetes cluster does it have to be located in the same region as the HPC cluster that's going to be doing the batch processing, or does the nature of batch processing mean, in theory, you can move something from here to somewhere relatively far away to do the batch processing? How does that work? 'Cause look, we're walking around here and people are talking about lengths of cables in order to improve performance. So what does that look like when you peel back the cover and you look at it physically, not just logically, AWS is everywhere, but physically, what does that look like? >> Oh, physically, for us, it depends on what the customer's looking for. We have workflows that are all entirely within a single region. And so where they could have a portion of say the traditional HPC workflow, is within that region as well as the batch, and they're saving off the results, say to a shared storage file system like our Amazon FSx for Lustre, or maybe aging that back to an S3 object storage for a little lower cost storage solution. Or you can have customers that have a kind of a multi-region orchestration layer to where they say, "You know what? "I've got a portion of my workflow that occurs "over on the other side of the country "and I replicate my data between the East Coast "and the West Coast just based upon business needs. "And I want to have that available to customers over there. "And so I'll do a portion of it in the East Coast "a portion of it in the West Coast." Or you can think of that even globally. It really depends upon the customer's architecture. >> So is the intersection of Kubernetes with HPC, is this relatively new? I know you're saying you're, you're announcing it. >> It really is. I think we've seen a growing perspective. I mean, Kubernetes has been a long time kind of eating everything, right, in the enterprise space? And now a lot of CIOs in the industrial space are saying, "Why am I using one orchestration layer "to manage my HPC infrastructure and another one "to manage my enterprise infrastructure?" And so there's a growing appreciation that, you know what, why don't we just consolidate on one? And so that's where we've seen a growth of Kubernetes infrastructure and our own managed Kubernetes EKS on AWS. >> Last month you announced a general availability of Trainium, of a chip that's optimized for AI training. Talk about what's special about that chip or what is is customized to the training workloads. >> Yeah, what's unique about the Trainium, is you'll you'll see 40% price performance over any other GPU available in the AWS cloud. And so we've really geared it to be that most price performance of options for our customers. And that's what we like about the silicon team, that we're part of that Annaperna acquisition, is because it really has enabled us to have this differentiation and to not just be innovating at the software level but the entire stack. That Annaperna Labs team develops our network cards, they develop our ARM cards, they developed this Trainium chip. And so that silicon innovation has become a core part of our differentiator from other vendors. And what Trainium allows you to do is perform similar workloads, just at a lower price performance. >> And you also have a chip several years older, called Inferentia- >> Um-hmm. >> Which is for inferencing. What is the difference between, I mean, when would a customer use one versus the other? How would you move the workload? >> What we've seen is customers traditionally have looked for a certain class of machine, more of a compute type that is not as accelerated or as heavy as you would need for Trainium for their inference portion of their workload. So when they do that training they want the really beefy machines that can grind through a lot of data. But when you're doing the inference, it's a little lighter weight. And so it's a different class of machine. And so that's why we've got those two different product lines with the Inferentia being there to support those inference portions of their workflow and the Trainium to be that kind of heavy duty training work. >> And then you advise them on how to migrate their workloads from one to the other? And once the model is trained would they switch to an Inferentia-based instance? >> Definitely, definitely. We help them work through what does that design of that workflow look like? And some customers are very comfortable doing self-service and just kind of building it on their own. Other customers look for a more professional services engagement to say like, "Hey, can you come in and help me work "through how I might modify my workflow to "take full advantage of these resources?" >> The HPC world has been somewhat slower than commercial computing to migrate to the cloud because- >> You're very polite. (panelists all laughing) >> Latency issues, they want to control the workload, they want to, I mean there are even issues with moving large amounts of data back and forth. What do you say to them? I mean what's the argument for ditching the on-prem supercomputer and going all-in on AWS? >> Well, I mean, to be fair, I started at AWS five years ago. And I can tell you when I showed up at Supercomputing, even though I'd been part of this community for many years, they said, "What is AWS doing at Supercomputing?" I know you care, wait, it's Amazon Web Services. You care about the web, can you actually handle supercomputing workloads? Now the thing that very few people appreciated is that yes, we could. Even at that time in 2017, we had customers that were performing HPC workloads. Now that being said, there were some real limitations on what we could perform. And over those past five years, as we've grown as a company, we've started to really eliminate those frictions for customers to migrate their HPC workloads to the AWS cloud. When I started in 2017, we didn't have our elastic fabric adapter, our low-latency interconnect. So customers were stuck with standard TCP/IP. So for their highly demanding open MPI workloads, we just didn't have the latencies to support them. So the jobs didn't run as efficiently as they could. We didn't have Amazon FSx for Lustre, our managed lustre offering for high performant, POSIX-compliant file system, which is kind of the key to a large portion of HPC workloads is you have to have a high-performance file system. We didn't even, I mean, we had about 25 gigs of networking when I started. Now you look at, with our accelerated instances, we've got 400 gigs of networking. So we've really continued to grow across that spectrum and to eliminate a lot of those really, frictions to adoption. I mean, one of the key ones, we had a open source toolkit that was jointly developed by Intel and AWS called CFN Cluster that customers were using to even instantiate their clusters. So, and now we've migrated that all the way to a fully functional supported service at AWS called AWS Parallel Cluster. And so you've seen over those past five years we have had to develop, we've had to grow, we've had to earn the trust of these customers and say come run your workloads on us and we will demonstrate that we can meet your demanding requirements. And at the same time, there's been, I'd say, more of a cultural acceptance. People have gone away from the, again, five years ago, to what are you doing walking around the show, to say, "Okay, I'm not sure I get it. "I need to look at it. "I, okay, I, now, oh, it needs to be a part "of my architecture but the standard questions, "is it secure? "Is it price performant? "How does it compare to my on-prem?" And really culturally, a lot of it is, just getting IT administrators used to, we're not eliminating a whole field, right? We're just upskilling the people that used to rack and stack actual hardware, to now you're learning AWS services and how to operate within that environment. And it's still key to have those people that are really supporting these infrastructures. And so I'd say it's a little bit of a combination of cultural shift over the past five years, to see that cloud is a super important part of HPC workloads, and part of it's been us meeting the the market segment of where we needed to with innovating both at the hardware level and at the software level, which we're going to continue to do. >> You do have an on-prem story though. I mean, you have outposts. We don't hear a lot of talk about outposts lately, but these innovations, like Inferentia, like Trainium, like the networking innovation you're talking about, are these going to make their way into outposts as well? Will that essentially become this supercomputing solution for customers who want to stay on-prem? >> Well, we'll see what the future lies, but we believe that we've got the, as you noted, we've got the hardware, we've got the network, we've got the storage. All those put together gives you a a high-performance computer, right? And whether you want it to be redundant in your local data center or you want it to be accessible via APIs from the AWS cloud, we want to provide that service to you. >> So to be clear, that's not that's not available now, but that is something that could be made available? >> Outposts are available right now, that have this the services that you need. >> All these capabilities? >> Often a move to cloud, an impetus behind it comes from the highest levels in an organization. They're looking at the difference between OpEx versus CapEx. CapEx for a large HPC environment, can be very, very, very high. Are these HPC clusters consumed as an operational expense? Are you essentially renting time, and then a fundamental question, are these multi-tenant environments? Or when you're referring to batches being run in HPC, are these dedicated HPC environments for customers who are running batches against them? When you think about batches, you think of, there are times when batches are being run and there are times when they're not being run. So that would sort of conjure, in the imagination, multi-tenancy, what does that look like? >> Definitely, and that's been, let me start with your second part first is- >> Yeah. That's been a a core area within AWS is we do not see as, okay we're going to, we're going to carve out this super computer and then we're going to allocate that to you. We are going to dynamically allocate multi-tenant resources to you to perform the workloads you need. And especially with the batch environment, we're going to spin up containers on those, and then as the workloads complete we're going to turn those resources over to where they can be utilized by other customers. And so that's where the batch computing component really is powerful, because as you say, you're releasing resources from workloads that you're done with. I can use those for another portion of the workflow for other work. >> Okay, so it makes a huge difference, yeah. >> You mentioned, that five years ago, people couldn't quite believe that AWS was at this conference. Now you've got a booth right out in the center of the action. What kind of questions are you getting? What are people telling you? >> Well, I love being on the show floor. This is like my favorite part is talking to customers and hearing one, what do they love, what do they want more of? Two, what do they wish we were doing that we're not currently doing? And three, what are the friction points that are still exist that, like, how can I make their lives easier? And what we're hearing is, "Can you help me migrate my workloads to the cloud? "Can you give me the information that I need, "both from a price for performance, "for an operational support model, "and really help me be an internal advocate "within my environment to explain "how my resources can be operated proficiently "within the AWS cloud." And a lot of times it's, let's just take your application a subset of your applications and let's benchmark 'em. And really that, AWS, one of the key things is we are a data-driven environment. And so when you take that data and you can help a customer say like, "Let's just not look at hypothetical, "at synthetic benchmarks, let's take "actually the LS-DYNA code that you're running, perhaps. "Let's take the OpenFOAM code that you're running, "that you're running currently "in your on-premises workloads, "and let's run it on AWS cloud "and let's see how it performs." And then we can take that back to your to the decision makers and say, okay, here's the price for performance on AWS, here's what we're currently doing on-premises, how do we think about that? And then that also ties into your earlier question about CapEx versus OpEx. We have models where actual, you can capitalize a longer-term purchase at AWS. So it doesn't have to be, I mean, depending upon the accounting models you want to use, we do have a majority of customers that will stay with that OpEx model, and they like that flexibility of saying, "Okay, spend as you go." We need to have true ups, and make sure that they have insight into what they're doing. I think one of the boogeyman is that, oh, I'm going to spend all my money and I'm not going to know what's available. And so we want to provide the, the cost visibility, the cost controls, to where you feel like, as an HPC administrator you have insight into what your customers are doing and that you have control over that. And so once you kind of take away some of those fears and and give them the information that they need, what you start to see too is, you know what, we really didn't have a lot of those cost visibility and controls with our on-premises hardware. And we've had some customers tell us we had one portion of the workload where this work center was spending thousands of dollars a day. And we went back to them and said, "Hey, we started to show this, "what you were spending on-premises." They went, "Oh, I didn't realize that." And so I think that's part of a cultural thing that, at an HPC, the question was, well on-premises is free. How do you compete with free? And so we need to really change that culturally, to where people see there is no free lunch. You're paying for the resources whether it's on-premises or in the cloud. >> Data scientists don't worry about budgets. >> Wait, on-premises is free? Paul mentioned something that reminded me, you said you were here in 2017, people said AWS, web, what are you even doing here? Now in 2022, you're talking in terms of migrating to cloud. Paul mentioned outposts, let's say that a customer says, "Hey, I'd like you to put "in a thousand-node cluster in this data center "that I happen to own, but from my perspective, "I want to interact with it just like it's "in your data center." In other words, the location doesn't matter. My experience is identical to interacting with AWS in an AWS data center, in a CoLo that works with AWS, but instead it's my physical data center. When we're tracking the percentage of IT that's that is on-prem versus off-prem. What is that? Is that, what I just described, is that cloud? And in five years are you no longer going to be talking about migrating to cloud because people go, "What do you mean migrating to cloud? "What do you even talking about? "What difference does it make?" It's either something that AWS is offering or it's something that someone else is offering. Do you think we'll be at that point in five years, where in this world of virtualization and abstraction, you talked about Kubernetes, we should be there already, thinking in terms of it doesn't matter as long as it meets latency and sovereignty requirements. So that, your prediction, we're all about insights and supercomputing- >> My prediction- >> In five years, will you still be talking about migrating to cloud or will that be something from the past? >> In five years, I still think there will be a component. I think the majority of the assumption will be that things are cloud-native and you start in the cloud and that there are perhaps, an aspect of that, that will be interacting with some sort of an edge device or some sort of an on-premises device. And we hear more and more customers that are saying, "Okay, I can see the future, "I can see that I'm shrinking my footprint." And, you can see them still saying, "I'm not sure how small that beachhead will be, "but right now I want to at least say "that I'm going to operate in that hybrid environment." And so I'd say, again, the pace of this community, I'd say five years we're still going to be talking about migrations, but I'd say the vast majority will be a cloud-native, cloud-first environment. And how do you classify that? That outpost sitting in someone's data center? I'd say we'd still, at least I'll leave that up to the analysts, but I think it would probably come down as cloud spend. >> Great place to end. Ian, you and I now officially have a bet. In five years we're going to come back. My contention is, no we're not going to be talking about it anymore. >> Okay. >> And kids in college are going to be like, "What do you mean cloud, it's all IT, it's all IT." And they won't remember this whole phase of moving to cloud and back and forth. With that, join us in five years to see the result of this mega-bet between Ian and Dave. I'm Dave Nicholson with theCUBE, here at Supercomputing Conference 2022, day three of our coverage with my co-host Paul Gillin. Thanks again for joining us. Stay tuned, after this short break, we'll be back with more action. (lively music)
SUMMARY :
Welcome back to theCUBE's coverage What are we going to talk about? Let's dive right in. in the queue starts to drop, does it have to be of say the traditional HPC workflow, So is the intersection of Kubernetes And now a lot of CIOs in the to the training workloads. And what Trainium allows you What is the difference between, to be that kind of heavy to say like, "Hey, can you You're very polite. to control the workload, to what are you doing I mean, you have outposts. And whether you want it to be redundant that have this the services that you need. Often a move to cloud, to you to perform the workloads you need. Okay, so it makes a What kind of questions are you getting? the cost controls, to where you feel like, And in five years are you no And so I'd say, again, the not going to be talking of moving to cloud and back and forth.
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KubeCon Preview, John Furrier, theCUBE & Savannah Peterson, theCUBE | KubeCon+Cloudnative22
foreign [Music] my name is Savannah Peterson and I am very excited to be coming to you today from the cube in Palo Alto we're going to be talking about kubecon giving a little preview of the hype and what you might be able to expect in Detroit with the one and only co-founder and CEO of the cube and siliconangle John ferriere John hello how are you today thanks for hosting and doing the preview with me my goodness a pleasure I we got acquainted this time last year how do you think the ecosystem has changed are you excited well first of all I missed kubecon Valencia because I had covid I was so excited to be there this big trip plan and then couldn't make it but so much has gone on I mean we've been at every kubecon the cube was there at the beginning when openstack was still going on kubernetes just started came out of Google we were there having beers with Lou Tucker and a bunch of The Luminaries when it all kind of came together and then watch it year by year progress through and how it's changed the industry and mainly how open source has been really the wave behind it combining with the Linux foundation and then cncf and then open source movement and good kubernetes has been amazing and under it all containers has been the real driver and all this so you know Docker containers Docker was a well-funded company they had to Pivot and were restructured now they're pure open source so containers have gone Supernova on top of that kubernetes and with that's a complete ecosystem of opportunity to create the next operating system in in software development so to me kubecon is at the center of software software 2030 what do you want to call it super cloud it's that it's really action it's not where the old school is it's where the new school is excellent so what has you most excited this year what's the biggest change from this time last year and now well two things I'm looking at this year uh carefully both from an editorial lens and also from a sponsorship lenses where is the funding going on the sponsorships because again a very diverse ecosystem of Builders but also vendors so I'm going to see how that Dynamics going on but also on the software side a lot of white space going on in the stack or in the map if you will you know the run times you've got observability you got a lot of competition maybe projects might be growing some Rising some falling maybe merge together I'm going to see how that but there's a lot of white spaces developing so I'm curious to see what's new on that area and then service meshes is a big deal this year so I'm looking for what's going on so it's been kind of a I won't say cold war but kind of like uh you know where is this going to go and because it's a super important part of of the of the orchestration and managing containers and so be very interested to see how service mesh does istio and other versions out there have been around for a while so that and also the other controversy is the number of stars on GitHub a project may have so sometimes that carries a lot of weight but we're going to look at which ones are rising which ones are falling again um which ones are getting the most votes by the developers vote with their code yeah absolutely well we did definitely miss you down in Los Angeles but it will be great to be in Detroit what has you most excited do you think that we're going to see the number of people in person that we have in the past I know you've seen it since the beginning so I think this year is going to be explosive from that psychology angle because I think it was really weird because La was on they were a bold to make that move we're all there is first conference back it was a lot a lot of like badges don't touch me only handshakes fist pumps but it was at the beginning of the covid second wave right so it was kind of still not yet released where everyone's was not worried about it so I think it's in the past year in the past eight months I mean I've been places with no masks people have no masks Vegas other places so I think it's going to be a year where it will be a lot more people in person because the growth and the opportunities are so big it's going to drive a lot of people in person just like Amazon reinvent those yeah absolutely and as the most important and prominent event in the kubernetes space I think everyone's very excited to to get back together when we think about this space do you think there that anyone's the clear winner yet or do you think it's still a bit of a open territory in terms of the companies and Partnerships I think Red Hat has done a great job and they're you know I think they're going to see how well they can turn this into gold for them because they've positioned themselves very well open shift years ago was kind of waffling I won't say it in a bad way but like but once they got view on containers and kubernetes red has done an exceptional job in how they position their company being bought by ibms can be very interesting to see how that influences change so if Red Hat can stay red hat I think IBM will win I think customers that's one company I like the startups we're seeing companies like platform nine Rafi systems young companies coming out in the kubernetes as a service space because I think whoever can make kubernetes easier because I think that's the hard part right now even though that the show is called kubecon is a lot more than kubernetes I think the container layer what docker's doing has been exceptional that's the real action the question is how does that impact the kubernetes layers so kubernetes is not a done deal yet I think it hasn't really crossed the chasm yet it's certainly popular but not every company is adopting it so we're starting to see that we need to see more adoption of kubernetes seeing that happen it's going to decide who the winners are totally agree with that if you look at the data a lot of companies are and people are excited about kubernetes but they haven't taken the plunge to shifting over their stack or fully embracing it because of that complexity so I'm very curious to see what we learn this week about who those players might be moving forward how does it feel to be in Detroit when was the last time you were here I was there in 2007 was the last time I was in that town so uh we'll see what's like wow yeah but things have changed yeah the lions are good this year they've got great hockey goalies there so you know all right you've heard that sports fans let John know what you're thinking your Sports predictions for this season I love that who do you hope to get to meet while we're at the show I want to meet more end user customers we're gonna have Envoy again on the cube I think Red Hat was going to be a big sponsor this year they've been great um we're looking for end user project most looking for some editorial super cloud like um commentary because the cncf is kind of the developer Tech Community that's powering in my opinion this next wave of software development Cloud native devops is now Cloud native developers devops is kind of going away that's killed I.T in my opinion data and security Ops is the new kind of Ops the new it so it's good to see how devops turns into more of a software engineering meet supercloud so I think you're going to start to see the infrastructure become more programmable it's infrastructure as code so I think if anything I'm more excited to hear more stories about how infrastructure as code is now the new standard so if when that truly happens the super cloud model be kicking into high gear I love that let's you touched on it a little bit right there but I want to dig in a bit since you've been around since the beginning what is it that you appreciate or enjoy so much about the kubernetes community and the people around this I think there are authentic people and I think they're they're building they're also Progressive they're very diverse um they're open and inclusive they try stuff and um they can be critical but they're not jerks about it so when people try something um they're open-minded of a failure so it's a classic startup mentality I think that is embodied throughout the Linux Foundation but CNC in particular has to bridge the entrepreneurial and corporate Vibe so they've done an exceptional job doing that and that's what I like about this money making involved but there's also a lot of development and Innovation that comes out of it so the next big name and startup could come out of this community and that's what I hope to see coming out here is that next brand that no one's heard of that just comes out of nowhere and just takes a big position in the marketplace so that's going to be interesting to see hopefully we have on our stage there yeah that's the goal we're going to interview them all a year from now when we're sitting here again what do you hope to be able to say about this space or this event that we might not be able to say today I think it's going to be more of clarity around um the new modern software development techniques software next gen using AI more faster silicon chips you see Amazon with what they're doing the custom silicon more processing but I think Hardware matters we've been talking a lot about that I think I think it's we're going to shift from what's been innovative and what's changed I think I think if you look at what's been going on in the industry outside of crypto the infrastructure hasn't really changed much except for AWS what they've done so I'm expecting to see more Innovations at the physics level way down in the chips and then that lower end of the stack is going to be dominated by either one of the three clouds probably AWS and then the middle layer is going to be this where the abstraction is around making infrastructure as code really happen I think that's going to be Clarity coming out of this year next year we should have some visibility into the vertical applications and of the AI and machine learning absolutely digging in on that actually even more because I like what you're saying a lot what verticals do you think that kubernetes is going to impact the most looking even further out than say a year I mean I think that hot ones Healthcare fintech are obvious to get the most money they're spending I think they're the ones who are already kind of creating these super cloud models where they're actually changed over their their spending from capex to Opex and they're driving top line revenue as part of that so you're seeing companies that wants customers of the I.T vendors are now becoming the providers that's a big super cloud Trend we see the other verticals are going to be served by a lot of men in Surprise oil and gas you know all the classic versus Healthcare I mentioned that one those are the classic verticals retail is going to I think be massively huge as you get more into the internet of things that's truly internet based you're going to start to see a lot more Edge use cases so Telecom I think it's going to be completely disrupted by new brands so I think once that you see see how that plays out but all verticals are going to be disrupted just a casual statement to say yeah yeah no doubt in my mind that's great I'm personally really excited about the edge applications that are possible here and can't wait to see can't wait to see what happens next I'm curious as to your thoughts how based given your history here and we don't have to say number of years that you've been participating in in Cape Cod but give them your history what's the evolution looked like from that Community perspective when you were all just starting out having that first drink did you anticipate that we would be here with thousands of people in Detroit you know I knew the moment was happening around um 2017-2018 Dan Coney no longer with us he passed away I ran into him randomly in China and it was like what are you doing here he was with a bunch of Docker guys so they were already investing in so I knew that the cncf was a great Steward for this community because they were already doing the work Dan led a great team at that time and then they were they were they were kicking ass and they were just really setting the foundation they dig in they set the architecture perfectly so I knew that that was a moment that was going to be pretty powerful at the early days when we were talking about kubernetes before it even started we were always always talking about if this this could be the tcpip of of cloud then we could have kind of a de facto interoperability and Lou Tucker was working for Cisco at the time and we were called it interclouding inter-networking what that did during the the revolution Cloud yeah the revolution of the client server and PC Revolution was about connectivity and so tcpip was the disruptive enable that created massive amounts of wealth created a lot of companies created a whole generation of companies so I think this next inflection point is kind of happening right now I think kubernetes is one step of this abstraction layer but you start to see companies like snowflake who's built on AWS and then moved to multiple clouds Goldman Sachs Capital One you're going to see insurance companies so we believe that the rise of the super cloud is here that's going to be Cloud 3.0 that's software 3.0 it's software three what do you want to call it it's not yesterday's Cloud lift and shift and run a SAS application it's a true Enterprise digital digital transformation so that's that's kind of the trend that we see riding in now and so you know if you're not on that side of the street you're going to get washed away from that wave so it's going to be interesting to see how how it all plays out so it's fun to watch who's on the wrong side it is very fun I hope you all are listening to this really powerful advice from John he's dropping some serious knowledge bombs on us well holding the back for kubecon because we've got we got all the great guests coming on and that's where all the content comes from I mean the best part of the community is that they're sharing yeah absolutely so just for old time's sake and it's because it's how I met your fabulous team last year Define kubernetes for the audience kubernetes is like what someone said it was a magical Christmas I heard that was a well good explanation with that when I heard that one um you mean the technical definition or like the business definition or maybe both you can give us an interpretive dance if you'd like I mean the simplest way to describe kubernetes is an orchestration layer that orchestrates containers that are containing applications and it's a way to keep things running and runtime assembly of like the of the data so if you've got you're running containers you can containerize applications kubernetes gives you that capability to run applications at scale which feeds into uh the development uh cycle of the pipelining of apps so if you're writing applications and you want to scale up it's a fast way to stand up massive amounts of scale using containers and kubernetes so a variety of other things that are in the in the in the system too so that was pretty good there's a lot more under the hood but that's the oversimplified version I think that's what we were going for I think it's actually I mean it's harder to oversimplify it sometimes in this case it connects it connects well it's the connective tissue between all the container applications yes last question for you John we are here at the cube we're very excited to be headed to Detroit very soon what can people expect from the cube at coupon this year so we'll be broadcasting Wednesday Thursday and Friday we'll be there early I'll be there Monday and Tuesday we'll do our normal kind of hanging around getting some scoop on the on the ground floor you'll see us there Monday and Tuesday probably in the in the lounge too um come up and say hi to us um again we're looking for more stories this year we believe this is the year that you're going to hear a lot more storytelling coming out of this community as people get more proof points so come up to us share your email your your handle give us yours give us your story we'll publish it we think we think this is going to be the year that cloud native developers start showing the signs of the of the rise of the supercloud that's going to come out of this this community so you know if you got something to say you know we're open to share stories so we're here all that speaking of John how can people say hi to you and the team on Twitter at Furrier at siliconangle at thecube thecube.net siliconangle.com LinkedIn Dave vellantis they were open on all channels all right signal Instagram WhatsApp perfect well pick your channel we really hope to hear from you John thank you so much for joining us for this preview session and thank you for tuning in my name is Savannah Peterson here in Palo Alto at thecube Studios looking forward to Detroit we can't wait to hear your thoughts do let us know in the comments and let us know if you're headed to Michigan cheers [Music] thank you
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Wayne Balta & Kareem Yusuf, IBM | IBM Think 2021
>>from >>around the >>globe, it's the >>cube with digital >>coverage of IBM, >>Think 2021 >>brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube, had a great line up here talking sustainability. Kary musa ph d general manager of AI applications and block chains, career great to see you and wayne both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you. What's driving? IBMS investment sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>you know, johN what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM is 100 10 year old company. We've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation, that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental, our stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. C. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence really it's about recognizing that good environmental management makes good business sense. It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson that IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error. How is that evolved in today's focus? Because you know, we see data centers, carbon footprint, global warming, you now have uh A I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So, you know, these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that. And that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they say, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. We supported the Paris agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council, which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term >>action. That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna. We leave you in here, you're the general manager. You you've got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're in the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right? Is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, all of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and the context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those needs. >>You know, I've covered it in the past and written about and also talked about the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because this waste involved is also disruption to business a security issues. But when you really move into the Ai side, how does a company scale that Corinne? Because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right? So we have helped clients like a tear with their seafood network or the shrimp sustainability network, where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you onboard them and off board them off the network. So that's how we begin to put A. I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours, he uses maximum to really focus on the maintenance and sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection, actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging ai to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed um for our clients. >>It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, It's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh, how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now, thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation, which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, NGos and Academia. Some examples. There's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zar in that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment programs science policy business form that gets us involved with many ministers of environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'm just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under Call for Code in 2021 calls for solutions targeted the climate change. So that's that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much, Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being in what we like to turn clients zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing, that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative. Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. Mhm. Mhm. Mhm.
SUMMARY :
chains, career great to see you and wayne both the vice president of corporate environmental affairs and as IBM has more of a larger global scope and continues to do that with hybrid cloud, have to be persistent with environmental problems, you don't necessarily solve them overnight. So as the world gets larger in the surface area of what is contributing We reiterated that support in 2017 for the us to remain a partner. We leave you in here, you're the general manager. So the first step when you think you know, I have to one operationalize it and then scale it. how to connect dots across multiple suppliers and as you onboard them and off board One of the themes coming out of think that I'm observing is this notion of transformation is innovation Innovation is about changing the way you get if they want to connect in with the mission and the citizenship that you guys are doing? with our GPS brethren, you know, to meet their needs, linking that in as well to IBM Karim, we thank you for your time on sustainability. I'm sean for your host.
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IBM4 Wayne Balta & Kareem Yusuf VTT
>>From around the globe, it's the Cube with digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube. We had a great line up here talking sustainability, kary musa ph d general manager of AI applications and block chains going great to see you and wayne, both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you what's driving? IBMS investment in sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>You know, jOHn what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM 110 year old company, we've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's a long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental a stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. E. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence, really it's about recognizing that good environmental management makes good business sense, It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson, the IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error, how has that evolved in today's focus? Because, you know, we see data centers, carbon footprint, global warming, you now have a I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials, waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that and that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they said, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. He supported the Paris Agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term action. >>That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna we leave you in here, you're the general manager. You you got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're on the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, All of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those >>needs. You know, I've covered it in the past and written about and also talked about on the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because there's waste involved is also disruption to business, a security issues, but when you really move into the Ai side, how does a company scale that Corinne, because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right. So we have helped clients like a tear with their seafood network or the shrimp sustainability network where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you on board in an off board them off the network. So that's how we begin to put A I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours he uses maximum too rarely focus on the maintaining sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection. Actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging AI to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed for our >>clients. It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, it's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with Korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, Ngos and Academia. Some examples, there's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zarin that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment Programs science Policy business form that gets us involved with many ministers of Environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'll just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under call for code in 2021 calls for solutions targeted the climate change. So that's, that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer, both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being and what we like to turn client zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative, Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. >>Mm. Mhm.
SUMMARY :
of IBM think 2021 brought to you by IBM. as IBM has more of a larger global scope and continues to do that with hybrid cloud, have to be persistent with environmental problems, you don't necessarily solve them overnight. So I mean you can you the most environmentally friendly energy you can get is the energy that you don't Karim dr Karim use if I wanna we leave you in here, So the first step when you think about that Corinne, because now, you know, I have to one operationalize it and then scale it. how to connect dots across multiple suppliers and as you on board in an off board One of the themes coming out of think that I'm observing is this notion of transformation Innovation is about changing the way you get if they want to connect in with the mission and the citizenship that you guys are doing? with our GPS brethren, you know, to meet their needs, linking that in as well to IBM Karim, we thank you for your time on sustainability. I'm sean for your host.
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Dr. Ellison Anne Williams, Enveil | RSAC USA 2020
>> Narrator: Live from San Francisco. It's the theCUBE covering RSA Conference 2020 San Francisco, brought to you by SiliconAngle Media. >> Alright, welcome to theCUBE coverage here at RSA Conference in San Francisco and Moscone Halls, theCUBE. I'm John Furrier, the host of theCUBE, in a cyber security is all about encryption data and also security. We have a very hot startup here, that amazing guest, Dr. Ellison Anne Williams, CEO and Founder of Enveil just recently secured a $10 million Series A Funding really attacking a real problem around encryption and use. Again, data ,security, analytics, making it all secure is great. Allison, and thanks for coming on. Appreciate your time. >> Thanks for having me. >> So congratulations on the funding before we get started into the interview talking about the hard news, you guys that are around the funding. How long have you guys been around? What's the funding going to do? What are you guys doing? >> Yeah, so we're about three and a half years old as a company. We just announced our Series A close last week. So that was led by C5. And their new US Funds The Impact Fund and participating. Other partners included folks like MasterCard, Capital One Ventures, Bloomberg, Beta 1843, etc. >> So some names jumped in C5 led the round. >> For sure. >> How did this get started? What was the idea behind this three years you've been actually doing some work? Are you going to production? Is it R&D? Is it in market? Give us a quick update on the status of product and solution? >> Yeah, so full production. For production of the product. We're in fact in 2.0 of the release. And so we got our start inside of the National Security Agency, where I spent the majority of my career. And we developed some breakthroughs in an area of technology called homomorphic encryption, that allows you to perform computations into the encrypted domain as if they were in the unencrypted world. So the tech had never existed in a practical capacity. So we knew that bringing seeds of that technology out of the intelligence community and using it to seed really and start the company, we would be creating a new commercial market. >> So look at this, right? So you're at the NSA, >> Correct >> Your practitioner, they're doing a lot of work in this area, pioneering a new capability. And did the NSA spin it out did they fund it was the seed capital there or did you guys bootstrap it >> No. So our seed round was done by an entity called Data Tribe. So designed to take teams in technologies that were coming out of the IC that wanted to commercialize to do so. So we took seed funding from them. And then we were actually one of the youngest company ever to be in the RSA Innovation Sandbox here in 2017, to be one of the winners and that's where the conversation really started to change around this technology called homomorphic encryption, the market category space called securing data in use and what that meant. And so from there, we started running the initial version of a product out in the commercial world and we encountered two universal reaction. One that we were expecting and one that we weren't. And the one that we were expecting is that people said, "holy cow, this actually works". Because what we say we do keeping everything encrypted during processing. Sounds pretty impossible. It's not just the math. And then the second reaction that we encountered that we weren't expecting is those initial early adopters turned around and said to us, "can we strategically invest in you?" So our second round of funding was actually a Strategic Round where folks like Bloomberg beta,Thomson Reuters, USA and Incue Towel came into the company. >> That's Pre Series A >> Pre Series A >> So you still moving along, if a sandbox, you get some visibility >> Correct. >> Then were the products working on my god is you know, working. That's great. So I want to get into before I get into some of the overhead involved in traditionally its encryption there always has been that overhead tax. And you guys seem to solve that. But can you describe first data-at-rest versus data-in-motion and data-in-user. data at rest, as means not doing anything but >> Yeah, >> In flight or in you so they the same, is there a difference? Can you just tell us the difference of someone this can be kind of confusing. >> So it's helpful to think of data security in three parts that we call the triad. So securing data at rest on the file system and the database, etc. This would be your more traditional in database encryption, or file based encryption also includes things like access control. The second area, the data security triad is securing data- in- transit when it's moving around through the network. So securing data at rest and in transit. Very well solution. A lot of big name companies do that today, folks like Talus and we partner with them, Talus, Gemalto, etc. Now, the third portion of the data security triad is what happens to that data when you go use or process it in some way when it becomes most valuable. And that's where we focus. So as a company, we secure data-in-use when it's being used or processed. So what does that mean? It means we can do things like take searches or analytics encrypt them, and then go run them without ever decrypting them at any point during processing. So like I said, this represents a new commercial market, where we're seeing it manifest most often right now are in things like enabling secure data sharing, and collaboration, or enabling secure data monetization, because its privacy preserving and privacy enabling as a capability. >> And so that I get this right, the problem that you solved is that during the end use parts of the triad, it had to be decrypted first and then encrypted again, and that was the vulnerability area. Look, can you describe kind of like, the main problem that you guys saw was that-- >> So think more about, if you've got data and you want to give me access to it, I'm a completely different entity. And the way that you're going to give me access to it is allowing me to run a search over your data holdings. We see this quite a bit in between two banks in the areas of anti-money laundering or financial crime. So if I'm going to go run a search in your environment, say I'm going to look for someone that's an EU resident. Well, their personal information is covered under GDPR. Right? So if I go run that search in your environment, just because I'm coming to look for a certain individual doesn't mean you actually know anything about that. And so if you don't, and you have no data on them whatsoever, I've just introduced a new variable into your environment that you now have to account for, From a risk and liability perspective under something like GDPR. Whereas if you use us, we could take that search encrypt it within our walls, send it out to you and you could process it in its encrypted state. And because it's never decrypted during processing, there's no risk to you of any increased liability because that PII or that EU resident identifier is never introduced into your space. >> So the operating side of the business where there's compliance and risk management are going to love this, >> For sure. >> Is that really where the action is? >> Yes, compliance risk privacy. >> Alright, so get a little nerdy action on this one. So encryption has always been an awesome thing depending on who you talk to you, obviously, but he's always been a tax associate with the overhead processing power. He said, there's math involved. How does homeomorphic work? Does it have problems with performance? Is that a problem? Or if not, how do you address that? Where does it? I might say, well, I get it. But what's the tax for me? Or is your tax? >> Encryption is never free. I always tell people that. So there always is a little bit of latency associated with being able to do anything in an encrypted capacity, whether that's at rest at in transit or in use. Now, specifically with homomorphic encryption. It's not a new area of encryption. It's been around 30 or so years, and it had often been considered to be the holy grail of encryption for exactly the reasons we've already talked about. Doing things like taking searches or analytics and encrypting them, running them without ever decrypting anything opens up a world of different types of use cases across verticals and-- >> Give those use case examples. What would be some that would be low hanging fruit. And it would be much more higher level. >> Some of the things that we're seeing today under that umbrella of secure data sharing and collaboration, specifically inside of financial services, for use cases around anti-money laundering and financial crimes so, allowing two banks to be able to securely collaborate with with each other, along the lines of the example that I gave you just a second ago, and then also for large multinational banks to do so across jurisdictions in which they operate that have different privacy and secrecy regulations associated with them. >> Awesome. Well, Ellison, and I want to ask you about your experience at the NSA. And now as an entrepreneur, obviously, you have some, you know, pedigree at the NSA, really, you know, congratulations. It's going to be smart to work there, I guess. Secrets, you know, >> You absolutely do. >> Brains brain surgeon rocket scientist, so you get a lot of good stuff. But now that you're on the commercial space, it's been a conversation around how public and commercial are really trying to work together a lot as innovations are happening on both sides of the fence there. >> Yeah. >> Then the ICC and the Intelligence Community as well as commercial. Yeah, you're an entrepreneur, you got to go make money, you got shareholders down, you got investors? What's the collaboration look like? How does the world does it change for you? Is it the same? What's the vibe in DC these days around the balance between collaboration or is there? >> Well, we've seen a great example of this recently in that anti-money laundering financial crime use case. So the FCA and the Financial Conduct Authority out of the UK, so public entity sponsored a whole event called a tech spread in which they brought the banks together the private entities together with the startup companies, so your early emerging innovative capabilities, along with the public entities, like your privacy regulators, etc, and had us all work together to develop really innovative solutions to real problems within the banks. In the in the context of this text spread. We ended up winning the know your customer customer due diligence side of the text brand and then at the same time that us held an equivalent event in DC, where FinCEN took the lead, bringing in again, the banks, the private companies, etc, to all collaborate around this one problem. So I think that's a great example of when your public and your private and your private small and your private big is in the financial services institutions start to work together, we can really make breakthroughs-- >> So you see a lot happening >> We see a lot happening. >> The encryption solution actually helped that because it makes sense. Now you have the sharing the encryption. >> Yeah. >> Does that help with some of the privacy and interactions? >> It breaks through those barriers? Because if we were two banks, we can't necessarily openly, freely share all the information. But if I can ask you a question and do so in a secure and private capacity, still respecting all the access controls that you've put in place over your own data, then it allows that collaboration to occur, whereas otherwise I really couldn't in an efficient capacity. >> Okay, so here's the curveball question for you. So anybody Startup Series today, but you really got advanced Series A, you got a lot of funding multiple years of operation. If I asked you what's the impact that you're going to have on the world? What would you say to that, >> Over creating a whole new market, completely changing the paradigm about where and how you can use data for business purposes. And in terms of how much funding we have, we have, we've had a few rounds, but we only have 15 million into the company. So to be three and a half years old to see this new market emerging and being created with with only $15 million. It's really pretty impressive. >> Yeah, it's got a lot of growth and keep the ownership with the employees and the founders. >> It's always good, but being bootstrap is harder than it looks, isn't it? >> Yeah. >> Or how about society at large impact. You know, we're living global society these days and get all kinds of challenges. You see anything else in the future for your vision of impact. >> So securing data and your supplies horizontally across verticals. So far we've been focused mainly on financial services. But I think healthcare is a great vertical to move out in. And I think there are a lot of global challenges with healthcare and the more collaborative that we could be from a healthcare standpoint with our data. And I think our capabilities enable that to be possible. And still respecting all the privacy regulations and restrictions. I think that's a whole new world of possibility as well. >> And your secret sauce is what math? What's that? What's the secret sauce, >> Math, Math and grit. >> Alright, so thanks for sharing the insights. Give a quick plug for the company. What are you guys looking to do? Honestly, $10 million in funding priorities for you and the team? What do you guys live in to do? >> So priorities for us? privacy is a global issue now. So we are expanding globally. And you'll be hearing more about that very shortly. We also have new product lines that are going to be coming out enabling people to do more advanced decisioning in a completely secure and private capacity. >> And hiring office locations DC. >> Yes. So our headquarters is in DC, but we're based on over the world, so we're hiring, check out our web page. We're hiring for all kinds of roles from engineering to business functionality >> And virtual is okay virtual hires school >> Virtual hires is great. We're looking for awesome people no matter where they are. >> You know, DC but primary. Okay, so great to have you gone. Congratulations for one, the financing and then three years of bootstrapping and making it happen. Awesome. >> Thank you. >> Thank you for coming ,appreciate it. So keep coming to your RSA conference in Moscone. I'm John Furrier. Thanks for watching more after this short break (pop music playing)
SUMMARY :
brought to you by SiliconAngle Media. I'm John Furrier, the host of theCUBE, in a cyber security So congratulations on the funding before we get started So that was led by C5. and start the company, we would be creating And did the NSA spin it out did they fund it And the one that we were expecting is that people said, And you guys seem to solve that. In flight or in you so they the same, is there So securing data at rest on the file system and that you guys saw was that-- So if I'm going to go run a search in your environment, say who you talk to you, obviously, but he's always been a tax the reasons we've already talked about. And it would be much more higher Some of the things that we're seeing today under that Well, Ellison, and I want to ask you about your experience so you get a lot of good stuff. Is it the same? So the FCA and the Financial Conduct Authority out of the Now you have the sharing the encryption. private capacity, still respecting all the access controls So anybody Startup Series today, but you really got advanced So to be three and a half years old to see this new market Yeah, it's got a lot of growth and keep the ownership with You see anything else in the future for your vision of And still respecting all the privacy regulations and Math and grit. Alright, so thanks for sharing the insights. We also have new product lines that are going to be coming the world, so we're hiring, check out our web page. We're looking for awesome people no matter where they are. Okay, so great to have you gone. So keep coming to your RSA conference in Moscone.
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Breaking Analysis: The State of Cyber Security Q4 2019
>> From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE. Now, here's your host, Dave Vellante. >> Hello, everyone, and welcome to this week's Cube Insights, powered by ETR. Today is November 8, 2019 and I'd like to address one of the most important topics in the minds of a lot of executives. I'm talking about CEOs, CIOs, Chief Information Security Officers, Boards of Directors, governments and virtually every business around the world. And that's the topic of cyber security. The state of cyber security has changed really dramatically over the last 10 years. I mean, as a cyber security observer I've always been obsessed with Stuxnet, which the broader community discovered the same year that theCUBE started in 2010. It was that milestone that opened my eyes. Think about this. It's estimated that Stuxnet cost a million dollars to create. That's it. Compare that to an F-35 fighter jet. It costs about $85-$100 million to build one. And that's on top of many billions of dollars in R&D. So Stuxnet, I mean, it hit me like a ton of bricks. That the future of war was all about cyber, not about tanks. And the barriers to entry were very, very low. Here's my point. We've gone from an era where thwarting hacktivists was our biggest cyber challenge to one where we're now fighting nation states and highly skilled organized criminals. And of course, cyber crime and monetary theft is the number one objective behind most of these security breaches that we see in the press everyday. It's estimated that by 2021 cyber crime is going to cost society $6 trillion in theft, lost productivity, recovery costs. I mean, that's just a staggeringly large number. It's even hard to fathom. Now, the other C-change is how organizations have had to respond to the bad guys. It used to be pretty simple. I got a castle and the queen is inside. We need to protect her, so what do we do? We built a mote, put it around the perimeter. Now, think of the queen as data. Well, what's happened? The queen has cloned herself a zillion times. She's left the castle. She's gone up to the sky with the clouds. She's gone to the edge of the kingdom and beyond. She's also making visits to machines and the factories and hanging out with the commoners. She's totally exposed. Listen, by 2020, there's going to be hundreds of billions of IP addresses. These are going to be endpoints and phones, TVs, cameras, tablets, automobiles, factory machines, and all these represent opportunities for the bad guys to infiltrate. This explosion of endpoints that I'm talking about is created massive exposures, and we're seeing it manifest itself in the form of phishing, malware, and of course the weaponization of social media. You know, if you think that 2016 was nuts, wait 'til you see how the 2020 presidential election plays out. And of course, there's always the threat of ransomware. It's on everybody's minds these days. So I want to try to put some of this in context and share with you some insights that we've learned from the experts on theCUBE. And then let's drill into some of the ETR data and assess the state of security, the spending patterns. We're going to try to identify some of those companies with momentum and maybe some of those that are a little bit exposed. Let me start with the macro and the challenged faced by organization and that's complexity. Here's Robert Herjavec on theCUBE. Now, you know him from the Shark Tank, but he's also a security industry executive. Herjavec told me in 2017 at the Splunk.com Conference that he thought the industry was overly complex. Let's take a look and listen. >> I think that the industry continues to be extremely complicated. There's a lot of vendors. There's a lot of products. The average Fortune 500 company has 72 security products. There's a stat that RSA this year, that there's 1500 new security start-ups every year. Every single year. How are they going to survive? And which ones do you have to buy because they're critical and provide valuable insights? And which ones are going to be around for a year or two and you're never going to hear about again? So it's a extremely challenging complex environment. >> So it's that complexity that had led people like Pat Gelsinger to say security is a do-over, and that cyber security is broken. He told me this years ago on theCUBE. And this past VM World we talked to Pat Gelsinger and remember, VMware bought Carbon Black, which is an endpoint security specialist, for $2.1 billion. And he said that he's basically creating a cloud security division to be run by Patrick Morley, who is the Carbon Black CEO. Now, many have sort of questioned and been skeptical about VMware's entrance into the space. But here's a clip that Pat Gelsinger shared with us on theCUBE this past VM World. Let's listen and we'll come back and talk about it. >> And this move in security, I am just passionate about this, and as I've said to my team, if this is the last I do in my career is I want to change security. We just not are satisfying our customers. They shouldn't put more stuff on our platforms. >> National defense issues, huge problems. >> It's just terrible. And I said, if it kills me, right, I'm going to get this done. And they says, "It might kill you, Pat." >> So this brings forth an interesting dynamic in the industry today. Specifically, Steven Smith, the CISO of AWS, at this year's Reinforce, which is their security conference, Amazon's big cloud security conference, said that this narrative that security is broken, it's just not true, he said. It's destructive and it's counterproductive. His and AWS's perspective is that the state of cloud security is actually strong. Kind of reminded me of a heavily messaged State of the Union address by the President of the United States. At the same time, in many ways, AWS is doing security over. It's coming at it from the standpoint of a clean slate called cloud and infrastructure as a surface. Here's my take. The state of security in this union is not good. Every year we spend more, we lose more, and we feel less safe. So why does AWS, the security czar, see if differently? Well, Amazon uses this notion of a shared responsibility security model. In other words, they secure the S3 buckets, maybe the EC2 infrastructure, not maybe, the EC2 infrastructure. But it's up to the customer to make sure that she is enforcing the policies and configuring systems that adhere to the EDIX of the corporation. So I think the shared security model is a bit misunderstood by a lot of people. What do I mean by that? I think sometimes people feel like well, my data's in the cloud, and AWS has better security than I do. Here I go, I'm good. Well, AWS probably does have better security than you do. Here's the problem with that. You still have all these endpoints and databases and file servers that you're managing, and that you have to make sure comply with your security policies. Even if you're all on the cloud, ultimately, you are responsible for securing your data. Let's take a listen to Katie Jenkins, the CISO of Liberty Mutual, on this topic and we'll come back. >> Yeah, so the shared responsibility model is, I think that's an important speaking point to this whole ecosystem. At the end of the day, Liberty Mutual, our duty is to protect policyholder data. It doesn't matter if it's in the cloud, if it's in our data centers, we have that duty to protect. >> It's on you. >> All right, so there you have it from a leading security practitioner. The cloud is not a silver bullet. Bad user behavior is going to trump good security every time. So unfortunately the battle goes on. And here's where it gets tricky. Security practitioners are drowning in a sea of incidents. They have to prioritize and respond to, and as you heard Robert Herjavec say, the average large company has 75 security products installed. Now, we recently talked to another CISO, Brian Lozada, and asked him what's the number one challenge for security pros. Here's what he said. >> Lack of talent. I mean, we're starving for talent. Cyber security's the only field in the world with negative unemployment. We just don't have the actual bodies to actually fill the gaps that we have. And in that lack of talent CISOs are starving. We're looking for the right things or tools to actually patch these holes and we just don't have it. Again, we have to force the industry to patch all of those resource gaps with innovation and automation. I think CISOs really need to start asking for more automation and innovation within their programs. >> So bottom line is we can't keep throwing humans at the problem. Can't keep throwing tools at the problem. Automation is the only way in which we're going to be able to keep up. All right, so let's pivot and dig in to some of the ETR data. First, I want to share with you what ETR is saying overall, what their narrative looks like around spending. So in the overall security space, it's pretty interesting what ETR says, and it dovetails into some of the macro trends that I've just shared with you. Let's talk about CIOs and CISOs. ETR is right on when they tell me that these executives no longer have a blank check to spend on security. They realize they can't keep throwing tools and people at the problem. They don't have the bodies, and as we heard from Brian Lozada. And so what you're seeing is a slowdown in the growth, somewhat of a slowdown, in security spending. It's still a priority. But there's less redundancy. In other words, less experimentation with new vendors and less running systems in parallel with legacy products. So there's a slowdown adoption of new tools and more replacement of legacy stuff is what we're seeing. As a result, ETR has identified this bifurcation between those vendors that are very well positioned and those that are losing wallet share. Let me just mention a few that have the momentum, and we're going to dig into this data in more detail. Palo Alto Networks, CrowdStrike, Okta, which does identity management, Cisco, who's coming at the problem from its networking strength. Microsoft, which recently announced Sentinel for Azure. These are the players, and some of them that are best positioned, I'll mention some others, from the standpoint spending momentum in the ETR dataset. Now, here's a few of those that are losing momentum. Checkpoint, SonicWall, ArcSight, Dell EMC, which is RSA, is kind of mixed. We'll talk about that a little bit. IBM, Symantec, even FireEye is seeing somewhat higher citations of decreased spending in the ETR surveys and dataset. So there's a little bit of a cause for concern. Now, let's remember the methodology here. Every quarter ETR asks are you green, meaning adopting this vendor as new or spending more? Are you neutral, which is gray, are you spending the same? Or are you red, meaning that you're spending less or retiring? You subtract the red from the green and you get what's called a net score. The higher the net score, the better. So here's a chart that shows a ranking of security players and their net scores. The bars show survey data from October '18, July '19, and October '19. In here, you see strength from CrowdStrike, Okta, Twistlock, which was acquired by Palo Alto Networks. You see Elastic, Microsoft, Illumio, the core, Palo Alto Classic, Splunk looking strong, Cisco, Fortinet, Zscaler is starting to show somewhat slowing net score momentum. Look at Carbon Black. Carbon Black is showing a meaningful drop in net score. So VMware has some work to do. But generally, the companies to the left are showing spending momentum in the ETR dataset. And I'll show another view on net score in a moment. But I want to show a chart here that shows replacement spending and decreased spending citations. Notice the yellow. That's the ETR October '19 survey of spending intentions. And the bigger the yellow bar, the more negative. So Sagar, the director of research at ETR, pointed this out to me, that, look at this. There are about a dozen companies where 20%, a fifth of the customer base is decreasing spend or ripping them out heading into the year end. So you can see SonicWall, CA, ArcSight, Symantec, Carbon Black, again, a big negative jump. IBM, same thing. Dell EMC, which is RSA, slight uptick. That's a bit of a concern. So you can see this bifurcation that ETR has been talking about for awhile. Now, here's a really interesting kind of net score. What I'm showing here is the ETR data sorted by net score, again, higher is better, and shared N, which is the number of shared accounts in the survey, essentially the number of mentions in that October survey with 1,336 IT buyers responded. So how many of that 1,300 identified these companies? So essentially it's a proxy for the size of the install base. So showing up on both charts is really good. So look, CrowdStrike has a 62% net score with a 133 shared account. So a fairly sizable install base and a very high net score. Okta, similar. Palo Alto Networks and Splunk, both large, continue to show strength. They got net scores of 44% and 313 shared N. Fortinet shows up in both. Proofpoint. Look at Microsoft and Cisco. With 521 and 385 respectively on the right hand side. So big install bases with very solid net scores. Now look at the flip side. Go down to the bottom right to IBM. 132 shared accounts with a 14.4% net score. That's very low. Check Point similarly. Same with Symantec. Again, bifurcation that ETR has been citing. Really stark in this chart. All right, so I want to wrap. In some respects from a practitioner perspective, the sky erectus is falling. You got increased attack surface. You've got exploding number of IP addresses. You got data distributed all over the place, tool creep. You got sloppy user behavior, overwork security op staff, and a scarcity of skills. And oh, by the way, we're all turning into a digital business, which is all about data. So it's a very, very dangerous time for companies. And it's somewhat chaotic. Now, chaos, of course, can mean cash for cyber security companies and investors. This is still a very vibrant space. So just by the way of comparison and looking at some of the ETR data, check this out. What I'm showing is companies in two sectors, security and storage, which I've said in previous episodes of breaking analysis, storage, and especially traditional storage disk arrays are on the back burner spending wise for many, many shops. This chart shows the number of companies in the ETR dataset with a net score greater than a specific target. So look, security has seven companies with a 49% net score or higher. Storage has one. Security has 18 above 39%. Storage has five. Security has 31 companies in the ETR dataset with a net score higher than 30%. Storage only has nine. And I like to think of 30% as kind of that the point at which you want to be above that 30%. So as you can see, relatively speaking, security is an extremely vibrant space. But in many ways it is broken. Pat Gelsinger called it a do-over and is affecting a strategy to fix it. Personally, I don't think one company can solve this problem. Certainly not VMware, or even AWS, or even Microsoft. It's too complicated, it's moving too fast. It's so lucrative for the bad guys with very low barriers to entry, as I mentioned, and as the saying goes, the good guys have to win every single day. The bad guys, they only have to win once. And those are just impossible odds. So in my view, Brian Lozada, the CISO that we interviewed, nailed it. The focus really has to be on automation. You know, we can't just keep using brute force and throwing tools at the problem. Machine intelligence and analytics are definitely going to be part of the answer. But the reality is AI is still really complicated too. How do you operationalize AI? Talk to companies trying to do that. It's very, very tricky. Talk about lack of skills, that's one area that is a real challenge. So I predict the more things change the more you're going to see this industry remain a game of perpetual whack a mole. There's certainly going to be continued consolidation, and unquestionably M&A is going to be robust in this space. So I would expect to see continued storage in the trade press of breaches. And you're going to hear scare tactics by the vendor community that want to take advantage of the train wrecks. Now, I wish I had better news for practitioners. But frankly, this is great news for investors if they can follow the trends and find the right opportunities. This is Dave Vellante for Cube Insights powered by ETR. Connect with me at David.Vellante@siliconangle.com, or @dvellante on Twitter, or please comment on what you're seeing in the marketplace in my LinkedIn post. Thanks for watching. Thank you for watching this breaking analysis. We'll see you next time. (energetic music)
SUMMARY :
From the SiliconANGLE Media office And the barriers to entry were very, very low. I think that the industry continues to be about VMware's entrance into the space. and as I've said to my team, I'm going to get this done. His and AWS's perspective is that the state At the end of the day, Liberty Mutual, the average large company We're looking for the right things or tools and looking at some of the ETR data, check this out.
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Darren Roos, IFS | IFS World 2019
>>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 Boston, everybody. You're watching The Cube. The leader in live tech coverage is Day one coverage of the I. F s World Conference. Darren Russo's here is the CEO of F S Darren. Thanks for coming back in the Cube. Great TV again. So last year was your first year. He was kind of laid out your vision at the World Conference. How's progress? >>Yeah, Look, it's going incredibly well. We were really focused on how we go from being a pretty fragment of global business to being, you know, an integrated business where we were able to operate. You know, its scale globally in a very homogenous way, where the customer experience was the same, irrespective where they engaged with us. And, you know, we've made a tremendous amount of progress with it, So you know, the business is growing really strongly. Net revenues up 22% year on year. I lost its revenues up 40% year on year are clouds up in the triple digits, so you know it's tough to be critical of how it's going so far. >>That's great, Great. You're growing faster than your peers. I think the stat was you gave us three Ex factory except in the industry would be awesome. Is that means that your primary benchmark do you want? You want to gain share? You want to go faster than the big whales, I presume. I >>think two things One is customer satisfaction, we believe, is the key indicator of long term success. S O. You know, we're the number one ranked European efforts. Salmon gotten appearance sites. That's that is and always will be my number. One metric. Can we be way the number one from a customer satisfaction perspective? And then I believe the revenue stats will follow and you know that's where we are. So certainly, if you look at our our core peers, the big G R P vendors, all of them are flat on. Dhe were growing 20 ships since >>one of the things you mentioned in your Cube interview last year was one of the things that you wanted to focus on was I'll call regional alignment. Paul and I used to work for I D. G. I worked for I. D. C. You were editor in chief of Computer World. We work for a company, had more offices overseas and IBM, and it was really hard to herd the cats. And that was one of the things that you cited. Have you been able to get people generally poor or at the same time? And how has that affected your business? Yeah. Look, I >>think the big challenge before I arrived was that there wasn't really a strategy of global strategy for the business. My face had a way of working and there was a strong culture, but there wasn't really a strategy. And obviously it's difficult to be critical of people when they not following the strategy when there isn't one s o. You know, Step one was really making sure that we had a strategy on DDE that was really about being focused on the five industries that we focused on, focused on three solutions on dhe focused on the six segments of customer, which is half a 1,000,000,000 to 5 billion. So now, globally, you know, irrespective the office that you go to, um anywhere in the world, they're focused on those five industries they focused on those three solutions and they're focused on their customer segments. So it helps me. P. M >>I said during our preview video video this morning that I've been around this industry as long as I f s has, until last year had never even heard of it. Is that just me being clueless? There's something there >>that we were just saying before we started that we're the definitely the biggest software business you've never heard of. Um, and and and that's common, I think, you know, we were There are a couple of factors. One is that the business was very European centric. Andi didn't really engaged in a tremendous amount of marketing and media prison. So, you know, those are elements that, you know, I think we're doing a better job off now, But we have a long way to go. The challenge that we have is that where we compete, we win when we get in and were able to tell our story, and we're able to show the value we win. We just don't get into as many deals as we need to. And that's the challenge we have. >>Yeah, there was a lot of talk this morning about the importance of those five pillars of those five industries. If you're going to become the next S A P, you're gonna have to branch out beyond that. What is your thinking about diversify >>becoming the next? They say he is definitely not my ambition, You know, I think way remain focused on customer satisfaction. And, you know, I think that there's a there's a difference. Whatever it is leading them, it's not customer satisfaction. You worked >>there for four years. >>I worked there for four years. I know. I think the big thing for me is is that we've got to stay focused on their customer voice. They focused on what delivers value for our customers beyond just the rhetoric and hyperbole. You know, I think when you when you listen to a lot of the complexity that our customers are facing today, any customers are facing. Companies are facing increasingly disruptive times, and the tech industry is making life more difficult for them. The more best of breed solutions get both. The more fragments that potential the landscape is, the more complex it becomes for customers if they have to try and figure out. How do we integrate these things and derive value from this highly fragmented landscape? So you know, we're trying to solve that problem. How do we make it easier for customers to challenge in their industry? And that's where this whole for the challenges has check comes from. How do we help him to be disruptive in their industry? Have competitive advantage? >>That seems to be a sort of a fundamentally different thing about your approach, though. Is this focus on those vertical industry's most e r P companies did not do that. Is that something that is core to your values? >>Look, I >>think what we recognize is that as you move to the cloud, you have to drive to standard. That's just the reality of going to the cloud on what's happening for the horizontal E. R B vendors. So the locks of ASAP and Oracle is that they have one e r P solution that fits every industry. So if it's good for health insurance and it's good for a bank, then it's difficult to really get your head around the fact that it could be good for a defense manufacturer, but the functional requirements is simply vastly different on that means that you have to customize them. If you have to customize that, they can go to the cloud. So what we believe is that you have to have this vertical specialization, the five industries that we serve us all. A lot of commonality in the process is that they use. And that's why that vertical strategy is so key to our success. So you won't see us going into financial service is, or health care or retail worth that core application. We may in time in many years to come branch out. That will be a different solutions. >>So your tailor, that app for that module for that industry, Yes, just go deep, deep functionality. You're known for that, but at the same time you're also messaging. You want your customers to be able to tailor this for their environment. So square that circle for me. >>So I think when we talk about a choice and and I think tailoring is the wrong word, we talk about choice. We're talking about choice of deployments on Prem or in the cloud choice of customer choice of partner, rather who they're going to deploy with on Dhe, then The solution is really an industry solution that comes with that functional death. And we don't we don't advocate their customers customized that all. We really don't want them to customize it. What we explain to them in some detail is that the real value comes from adopting the solution for two standard and staying on a vanilla application. Because that vanilla application, you're going to be able to withstand future upgrades, the total cost of ownership gets lower. The processes that are embedded in that application or best of breed at the box. That's what they're intended to do, and that works when you have a vertical application. When you have a horizontal application and you're trying to have a do things that it shouldn't naturally be doing, that becomes company. >>Well, correct me if I'm wrong, but wasn't that essentially the message ASAP had when it went through? It's hyper growth in the late nineties. I mean, there was a Y two k thing there, too, but ah, lot of the message was around. Do it our way and and then you don't have to get stuck in a rut, >>So I think that when it came out with that generation of application. That certainly was what they had hoped would happen. But what happened in practice is that the system integrators came in and the whole business process reengineering explosion happened on Dhe. That's not how it how it manifested itself. So what you see is, you see, he's very large, monolithic ASAP applications that were customized over in some cases decades, not not. You know, if a customer is deploying for two standard, then they should be able to deploy in a period mission. In weeks, we spoke about our deployment with Racing Point. If one team and going live in 12 weeks, you know, we're a 700 million global business. We deployed a knife s in 24 weeks. You know, if a customer's deploying for two standard, it's measured in weeks. As soon as they start to talk about two years or three years or five years or seven years there, customizing the solution significantly. Yeah, I >>mean, it became just sort of a perpetual upgrade, maintenance and up for the time it had a business impact. But boy, you think a cloud today agility, you know, getting rid of waterfall approaches, Missus. Antithetical to today's Look >>what I don't point fingers here. I think that this just maturity come with experience. The line of business applications you'll see our EMS and your HR solutions have taught people that you can, if you think about this is look at sea. Are Emma's an example? You had Siebel before people would implement stable. They would customize Siebel that would take long implementations. They were highly bespoke applications and then sells. Force came along and just destroyed them, and they destroyed them. Because what people learned very quickly was that there was a really easy to consume, really easy to use application that functionally might be inferior. But the compromises that you'd make from a functionality perspective will weigh, outweighed by their time to value in ease of use. And and the learnings from CR mnh are in procurement. Those line of business applications have now being backed into in the e. R. P >>world. So in terms of capital allocation, you're owned by private equity, which is actually a public company. I'm interested in how you're allocating capital R and D, where you're where your emphasis is. You don't have to you have to do stock buy back, but, you know, describe the P relationship. >>So look, one of my learning's to see survive this is that not all private equity firms or equal they have different strategies are very fortunate to be with Ekiti, who are a growth investor. They're known as a growth investor on dhe, and they buy companies that are strong growth tech firms on dhe. They've been hugely supportive of us investing because they understand that the investment in technology is important. So, you know, just looking at some detail today we invest twice as much in R and D as we did three years ago, just to give you, you know, one data point. So there's a big focus on technology, and the thing is, is that we we have to invest in technology to drive those attributes that are discussed earlier. How do we How do we enable customers to adopt a solution? It's a standard so they can go alive quicker. How do we enable customers to be able to sit down in the front of the application like we do with the mobile phone and intuitively know how to use it? How do we reduce the total cost of ownership through automation. Those are capabilities that you know that they don't come for free. We have to invest in them. So big investments in technology. And >>I think the private equity guys, at least the modern ones, have realized Why should the V. C's have all the fun they realize? Hey, we can actually put some money in tow and the transforming we can have a bigger exit and actually make much better returns than sucking the company drive. Yeah, well, look, I think the other >>thing is is that you know, in public companies, you have the downside off. You know this this courtly metric Ondas quarterly cadence. Andi, you see very compromising decisions being made because you know, people can't afford to miss 1/4. There's no long term planning that's done on dhe. That's fundamentally not the case and the private equity world, you know, not unusual now for four p firms to hold companies for 5678 years on, and that allows you to take a very long term strategic view. If if if a shift from perpetual to subscription is the right thing to happen, they can do that without worrying that, you know, because of the definite earnings are revenue that you're going to get caned by the market next quarter. Andi. I think that that needs to, I think, better decision making for the long term. >>A lot of companies are struggling. >>If you have the right P for because you get bought by the firm of events, you want to go public. But the the you said something this morning that 50% of your customers each year or net knew, How are you pulling that off >>That 50% of our license revenue? Eso way we went about 300 odd new customers a year. Obviously, that's growing, as I said, you know, 40%. But you know, it's ah, I think, having done this for 25 years, there are companies that are or good at extracting revenue from their installed based. One of the analysts here has as a hashtag wallet Fracking is what do you think It's such a great So you know, they're good at Wallick fracking and and I think the customers that that our customers off those vendors know exactly who they are and you know I think that for us to that the fact that we're able to go out and win 50% of our license revenue from net new name customers, I think is a really strong indicator of the health of the business. It's much harder to do than just extracting revenue out of the install base. You know, we don't have a compliance practice. We've never charged a customer for you in direct access. You know, these are principles that we stand by, and it's easier to say that your customer centric on get 80% of your revenue, have your installed base because you're doing compliance rounds. But, you know, we put our money where our mouth is, and that's not that's not how we do it. >>Are these net new customers? Are they? Are they migrating from QuickBooks or they migrating from a Competitors >>know, because of the segment that we're in this half a 1,000,000,000 to 5 billion? I would say the majority of them are what I would call first generation the Rp solution. So you know you're talking about you know, the original generation of Microsoft's acquisitions, the divisions and the eggs actors and the Solomon's and so on on. And then, you know, it's a P R two and our three customers you're talking about customer sitting on, you know, the solutions that in for hoovered up the matrix B picks type customers, ace 400 customers. So they're you know, they're first generation your P solutions that simply don't have the flexibility to deal with the complexity and demands of modern business world. >>From 2009 about 2017 I f. S was pretty inquisitive and then just actually, I was gonna ask you >>when I started, you stopped >>it, right? But then, you know, today you announced an extra small acquisition, But how should we think about M and a >>look? The first year for me was really about trying to build a functional business. You know, we spoke about how fragmented this really hit to Jenna's business. Andi just occurred to me. You know, if we go out and we start to buy things, how do we integrate them into a business that's completely fragments? And you know, it had no identity or culture. So, you know, the last year has been focused on how do we build their common understanding of what it is that we're doing. We now have a very clear strategy. Five industries, three solutions, one segment. And you know, when you when you have that clarity of vision that it's really easy to guard and do him and I because you know what fits and what doesn't fit, you can understand exactly how you're gonna build value for customers on dhe. That's why the S t a deal is so good for us. Because we're now the undisputed leader in field service management, you know, 8000 our customers globally, which is way more than anybody else. Scott, Andi, you know, you should absolutely expect more from us. But it will be in the five industries, three technology segments and one customers. Isaac. >>Well, in the A p I enablement should obviously facility. >>Absolutely. I mean, I was just with a partner of ours now, and they have this amazing augmented reality solution. You know, it will be a combination of off going out there to build market, share a cz well, as finding you know, really innovative solutions that can help us advance the technology that we provide customers. >>You have a new slogan this year for the challengers, which seems to be aimed at companies that that imagine themselves as challenging the Giants, which is great. But if you're not a company that season sees themselves that way. Are the studies level home with I have s Look, >>I I think I was with a group of CEOs from one of the big analyst rooms, and they had the portfolio companies and their private equity firm and analysts that CEOs of the companies are having a conversation with him about digital transformation. And I I made a rather provocative statement which, you know, got unanimous agreement, which is that all of the CEOs there with either in an industry that was being disrupted and we're trying to figure out how they respond to that disruption or they would soon not every job and they all acknowledge that they absolutely fit into that category. In other words, all of them were being disrupted. All of them were facing a challenge. It was kind of like, you know, if it is happening to all of us at a more rapid pace than we have ever had before. So my view is, is that you know if if you're in the room and you're going, you know, if it's might not be for us because we're not a challenger. Yeah, The lights may not be on >>for Long s o double click on that. What role does I s play in terms of digital transformation? >>If I could just hold on there because the thing is, there are leaders in Mama, there challenges. And there are leaders. The leaders typically are gonna go with seif solution. They're gonna go with one of the legacy our peace. So I'm not suggesting that everybody necessarily is a challenger. There are leaders, you know, Nokia was a leader until they weren't because they were complacent. Andi, I think they you know, they didn't run on I office. So, you know, I think there are two segments. There are leaders and there are challenges, and we're there for the ones that are ready to disrupt. Sorry. >>Please clarify that. No. Good. So So get back to it. Sort of digital transformation and disruption. What do you see? Is the role of AARP generally, but specifically I f s. >>Look, I think we digital information. A lot of discussion about it on the stage this morning. I've just touched on it now. I think that it takes very different forms. What most industries are finding is that they're facing a lot of non traditional competition and they're having to innovate around their business models. They can't going to market in the same way as they did before. They're having to innovate because of this non traditional competition. Andi. Understanding your your customer's understanding, your your staff, understanding your supply chain understanding your financials are all critical parts of being able to respond to whatever their changes, and that's where the RP solution comes into it. I think there's an interesting challenge now, which is that as those applications have become more fragmented and you've got more based debris cloud applications Ah, lot of the value often E. R P was that you had this integrated set of applications that you had this one source of the truth andan. Fortunately for many customers today, they don't have that because they've got import all of these best of breed applications and they don't have one source of the truth that multiple invoices made it multiple versions of their customer in the databases. Andi we still stand for a single integrated the r p. So, you know, I think understanding those elements of your businesses key. I was with a customer of ours in Nebraska a short while ago, and they were talking about our existing office customer. They were talking about the steel import duties that were imposed through the trade war with China. And they were saying, Look, that they had been able to respond to that in a way that they had good visibility of the supply chain, who was improved, imposing the tariffs, how they were going to impact them when they were going to impact them. And because they had this integrated Siara AARP. They were able to pass those pricing changes onto their customers, and they survived this. What could have been a cataclysmic event for their business had they not had an integrated your pee? They not being able to have this visibility into the supply chain and the customer base. They may well have gone out of business just because of that one change >>to meet all day and all comes back to the data, putting their putting data at the core of their business. That integrated data pipeline is essentially what they get out of that last question. So thinking about the next 18 to 24 months, what are the milestones that observers should look for? One of the barometers that we should be watching. >>So look, in the next two years, it's it's really about us building incremental scale. We have, ah, four year plan, which I built when I came in. We're halfway through that plan. We've hit all of the metrics and exceeded most the metrics that we had on their plan. It's really continue to focus on the strategy. As I said, we focus on those five industries, continue to build market share, continue to focus on those three solution types and build market share and market dominance on those three solutions. Andi in that segment that I defined before, so no change from a strategy perspective. I think there's really value in the consistency that we bring on on their talk track and, you know, along the way we passed the $1,000,000,000 mark, which we will do, I think, in 2021 organically if we accelerate, some of the money will pass the 1,000,000,000 before, but you know business. The margins continue to expand. We focus on customer satisfaction and, you know, it's a It's a pretty straight, you know, traditional prey book that we have to execute on now. >>Well, congratulations. It's a great playbook, and you're growing very nicely. So love that. Look, we really an honor to the last couple of years. Learn a little bit about the company in your industry. So appreciate meeting you guys. Thank you. All right. And thank you for watching over right back with our next guest. Ready for this short break day Volonte with Paul Gill in. You're watching the Cube from I f s World Conference from Boston 2019 right back.
SUMMARY :
Brought to you by I. Thanks for coming back in the Cube. business to being, you know, an integrated business where we were I think the stat was you gave us three Ex factory except in the And then I believe the revenue stats will follow and you know that's where we are. one of the things you mentioned in your Cube interview last year was one of the things that you wanted to focus on was you know, irrespective the office that you go to, um anywhere in the world, they're focused on those five industries Is that just me being clueless? Um, and and and that's common, I think, you know, we were There are a couple of factors. What is your thinking about diversify And, you know, I think that there's a there's a difference. You know, I think when you when you listen to a lot of the That seems to be a sort of a fundamentally different thing about your approach, though. but the functional requirements is simply vastly different on that means that you have to customize You're known for that, but at the same time you're That's what they're intended to do, and that works when you have a vertical application. Do it our way and and then you don't have to get stuck in a rut, So what you see is, you see, he's very large, monolithic ASAP applications that were customized over But boy, you think a cloud today agility, you know, taught people that you can, if you think about this is look at sea. You don't have to you have to do stock buy back, but, you know, So, you know, just looking at some detail today C's have all the fun they realize? That's fundamentally not the case and the private equity world, you know, not unusual But the the you said something this morning that 50% of your customers But you know, it's ah, So they're you know, they're first generation your P solutions then just actually, I was gonna ask you easy to guard and do him and I because you know what fits and what doesn't fit, you can understand exactly how you're gonna build value share a cz well, as finding you know, really innovative solutions that can help Are the studies level home with I have s And I I made a rather provocative statement which, you know, got unanimous agreement, for Long s o double click on that. I think they you know, they didn't run on I office. What do you see? So, you know, I think understanding those elements of your businesses key. One of the barometers that we should be watching. on on their talk track and, you know, along the way we passed the $1,000,000,000 mark, So appreciate meeting you guys.
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>>live from Boston, Massachusetts. It's the Q covering I f s World Conference 2019. Brought to you by I >>f. S, I say, What a minute. I didn't cash it. Everybody welcome to I f s World 2019. You watching the Cube? The leader in live tech coverage on day Volante with my co host, Paul Galen. Marty Martin is here. She is the president of the service management division of I F s and C e o of work wave. Marty, good to see you. >>Yeah, it's great to be here. I'm so excited. >>A lot of action going on. You guys. Service management, Field Service management particular. You guys had an acquisition today. We're gonna talk about Let's start with your role you came in and 2017 with the >>pretty acting. Actually, >>2018 finalized the acquisition. I think they announce it in 2017. So tell us about how you came in and where you're at today with >>Certainly. So work wave the company. I lied. Join the effects family in 2017. Darren Ruess, who joined I f s in April 2018 recruited me into form a global business unit around service in August of 2018 and the reason why we did this is service isn't only a part of our economies all over the world, but it's a super great growth area that almost every business can go after in in progress both revenue and margins. So we had a lot of great software products, and we really wanted to improve our go to market around this. >>So why, why all of a sudden today, this talk about service management? Why's it becoming so hard? I mean, everybody's always been focused on customer service, but why this service management generally and field service management while the buzz. >>So first off, you've had the evolution of a number of line of business applications and service certainly has been a part of maintenance organizations or break fix where you're going out in repairing thing. What we're realizing now when you talk about service ization, how o E EMS air building what's called aftermarket revenue? There is literally $100 billion of revenue that you can get from that you look, we had Melissa did a nano from Souza. If you think about open source software, they make money from sirve ties, ing, open source software and the products. You look at apple how they're doing APs. So people are starting to realize that service is an engine for brand loyalty, customer experience, not just a cost center. How it used to be, what the >>customers do. Ah, companies do wrong with service one of the areas where they tend to have the greatest inefficiencies where you can help him. >>So first off, I'd say that often in the C suite, unless they're pure place service companies. They don't understand how transformative service is and how important it is to their brand. Many times now, if you have digital enablement of a new customer, the first time they see a face of your brand might be your service technician. So getting the awareness of the C suite is Step one, because we want to start talking about outcomes that grow revenue and profits and getting them to invest in service. So you know, many times will say, Oh, I want to do a C. R M project. I want to do an E r P project. That's certainly things were good at it. Here I a fest, but we can coach them through how you take the market opportunity for your company and service enabled by our technology and transform. Tomorrow I'll be with Accenture, one of our many great partners, and we're talking about adapting the business, the service transformation, sometimes digitally, sometimes with workflow transformation. But that opportunity and service is huge and almost never. There's no company I know of that's taking 100% of their service market share. That's the difference, especially in slower growth. Asset manufacturing are more mature verticals. >>So I was here last night walking the floor, and I went to the extent you Booth, you know, anytime you see, except you're in a show like this. Okay, Censure. You think Large company Global. I was actually quite impressed a little bit surprised to see you know, their presence here because they they go where the money is, right? And so my specific question is, think, except you think big companies. But you guys obviously focused on what range of companies smaller midsize company. So what's the landscape? Looked like? What's the difference is between sort of smaller and larger companies, >>so that's a great question. I'll take it in part So if you think about a neck censure definitely they looked a large. I also have had meetings with the Lloyd McKinsey Cap gem and I dxc etcetera Also tcs Tech Mahindra which a little bit or more telco focused. So if you think about at the very large and you have telco utilities, large manufacturing O e ems that our customers and definitely the customers I'm pursuing Maur with this focus But we also with work with go down to the S and B We had panels also of, for example, female owners of franchises and also males as well that are creating new service businesses and they're starting maybe with one truck in out providing service. So the fact that we can handle not only the breath and depth of complex service needs, but through work wave we also can encourage the small service businesses to reach their full potential is fantastic. And you know that makes me excited every day. And part of why I focused on service specifically is you are delighting customers. You are the face of a brand and you're making a difference. It's not something that s 02 is esoteric. This is about really value that we're delivering, >>always interested in the dynamics of serving the SNB market >>because one of >>these small companies don't really have that. Maybe family owned there found her own. They don't really put a lot of value on technology. How >>do you >>get in the door? How do you convince them that automating the service function is actually worth the investment? >>Well, first off, I'd say that even the big companies are struggling to go paperless. Okay, so, you know, I think some of the challenges we see survive, if you will, big to small, especially when you look globally in different countries. What have you. But the approach we take in the S and B is that we want to be a software as a service provider, and we were to really handle everything they need in their business. So everything from how they grow leads how they have c r m type functionality. How, then they're delivering service, how they're cross selling service, how they're billing service. So at the at the S M B level, we're putting that kind of all in one technology and there's really not that much integration or I T Service is around that right. We want it to be easy and fast, etcetera, as you go more into the mid market and then definitely into the enterprise. Then you start getting more complexity. You get more I t service's integrations, more configurable ity, sometimes even some customized software. So there is a definitely a difference in the complexity. But the fundamentals of what a service business needs really isn't that much different to your >>customers that you mentioned customize and you guys were SAS space. That's one of the text that we'd like to sort of explore a little bit. A lot >>of >>times SAS companies want to avoid, you know, custom mods. But at the same time, you guys are trying to offer a choice. So help us square that circle. How do you What's the conversation like with customers in terms of how you advise them, You guys obviously do a lot of deep functionality, you know? How do you sort of advise them whether or not to go heavily custom or try to go out of the box? >>Certainly. So in the true, I'd say the small business of a medium you start getting some crossover, but in the small business, Absolutely avoid customization because you won't be able to stay evergreen. It's going to be too hard to maintain. You don't have the subject matter experts, et cetera, so that's really a truce. Ask that from a community. A product engagement. We need to be driving the partnership with the customers that they can use a software out of the box in ways that matter to them. As you start getting into the mid market and especially the enterprise, then it becomes more of a choice, right? How much money do you have to spend? How robust is your organization and set trek? And in general, I advise customers if they care about evergreen software, et cetera. If they care about ease of upgrades, don't customize that Being said, we recognize sometimes in the field with your brand experience Custom mobile. You may need to customize a little bit, so it's Ah, say, a chicken and an egg. You have to weigh the benefits of the costs, and that's what we work through with our >>customers. Specifically morning. What's the upgrade cycle like? There's a customer having the choice Thio upgrade at a particular time, Or do they have a window? >>So it varies primarily, there's a few exceptions, but in general, with the work way, Family of products is true SAS. So it's almost like you're Apple Phone. We pushed the upgrade and you have to take it. Okay, And that's the true SAS model at I. F. S. And this is something Darren talked about in his keynote. We pride ourselves on offering choice. So even though we do have regular release cycles, we encourage customers to upgrade regularly. They have the choice on when they take upgrades and also how they deploy. We have some markets with things like data, privacy and what have you that they may, for that reason or for other reasons, go on premise even still today. So we give them the choice on how they upgrade as well as where they host. >>I'm fascinated by your product line. You have products for pest control. H V. A. C. Plumbing cleaning service is long and landscape. How different are these industries really in terms of their their automation needs? >>Well, I'll tell you one of the personal factors that Darren wanted to make sure I was comfortable with was multitasking. And that definitely is the case, because an I f s, we serve five key industries. So if you think about manufacturing utilities, telco service providers and Andy Okay, that's more at the enterprise level. If you think then when you go toe work wave. Those verticals that you mentioned are all the ones we service at work wave, and they are different. So you know what? Work wave. It's primarily service industries where you're going into ah, home and a little bit The commercial aspect and I effects were also doing more some heavy industries, some very large asset base, things like that. So I like to think about it as a product I service consumer based service. And then you can also differentiate across verticals with what are called high value assets versus, you know, Mork consumer size assets. >>So what >>are >>the one of the key technology enablers that are driving service management today? I mean, obviously, cloud, we talked about sas a lot of push on you X and customer experience, but what other key ones? >>So all the three that you mentioned mobile is huge. You know, Pete and even today, like I run. I work mainly from my phone, and that's really what people want. They want efficient work flows that are configurable on mobile, tied to the customer, the asset, the business. And that's an area that we're continuing to make investment. We also try to prioritize how we bring in the new technology trends into service. Because every technology trend that you see has applicable ity and service supply chain and how you run spare parts specially globally, you can see applications for Blockchain augmented emerged Reality how you can connect the field tech with an expert resource or remote resource to the consumer. That is obvious, right? So you talked about the enabling technologies like Cloud, how we're thinking about data platforms and Data's the currency. Of all of that, we need to d'oh. His service is really about a an execution engine, right? Because to deliver a customer experience that makes people come back to your brand. To purchase Maur, you need great service, so any time somebody talks about customer experience, but they don't talk about service. I want to say you're really naive because you can just get the customer. You have to delight the customer. >>Uh, the, uh, there's a lot of interesting technology going on now in the area. Fleet Management making fleets more efficient How does that figure into the service is? You offer. >>So Fleet management is an important part, and it's one that you have a very tangible return on investment when you deploy route management route optimization, fleet management. So you have the aspects that are very tangible, relate to how do you get the person or the truck where it needs to be when it needs to be okay, and that's pretty well understood. Then how do you get the most efficient schedule that minimizes miles driven gas, used et cetera? And then, of course, you also are thinking about health and safety. There's some cool things now that you can partner that if you have these fleet technologies installed in a way that is integrated in your service business, you can actually get lower insurance premiums, right? So it's not just the conventional use. Cases were starting to think in this kind of gig economy, how you can also be thinking about bringing in Maura what's called a contingent workforce. So if you have surge capacity in a certain period or you want to just do more third party service, probably your appliances. You know they're not the employees, if you will, of a g e or a world polar and LG right there Probably a contingent workforce. And that's a model that's also evolving. But to do Fleet Management across say, contractors, not just employees is an area that were thinking more and more led by some of the uber ization, if you will, of the of the marketplace >>right up against the clock, Marty. But to last questions You made an acquisition today, Vashti Uh, yeah, uh, I thought of it as a tuck in acquisitions, although Darren essentially sort of said, it's gonna make you the leader now in service management. Um And then I want to understand how you guys differentiate from some of the big whales. >>So, you know, overall, we're on track to be about 700 revenue this year in service management. We're working to get to 200 million, right? So this year will probably be around maybe 1/5 50 ish per se. Don't quote me on that check with our coms team, but the point being is that we have the ability to use these tuck in acquisitions and service to accelerate our lead, not just from a revenue perspective, which is what we were just talking about. But from a product perspective, you might have followed Salesforce acquiring Click. That means we are the only independent. Aye, aye. Optimization engine that is field tested. Battle ready. So that's great. This s t a is how we consolidate our dominance and complex service. So what darren was speaking to is not on Lee the service management segment of our revenue and how we continue to accelerate over the oracles in the S a. P s and the service maxes et cetera of the world. But how we take what we're already dominant in and really put the hammer down. Honesty is part of that. >>Your differentiation then if I infers, is focus. Um, you're you're deep customer customs agent deep >>domain expertise. Yeah, So really, when you think about a i optimization, which drives a ton of business value and the ability to handle the complex service cases that then drive business outcomes and outcomes based service models, we are number one and s dea tucks into that, even though it is very strategic on how we position ourselves with leadership and service. >>All right, Challenger becomes number one, Marty. Thanks very much. All right, Keep it right, everybody. Dave A lot with Paul Galen. You're watching the Cube from Boston Mass. I f s world 2019 right back.
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Brought to you by I She is the president of the service Yeah, it's great to be here. came in and 2017 with the you came in and where you're at today with So we had a lot of great So why, why all of a sudden today, this talk about service management? $100 billion of revenue that you can get from that you look, where you can help him. So you know, So I was here last night walking the floor, and I went to the extent you Booth, you know, anytime you see, So if you think about at the very large and you have telco utilities, of value on technology. Well, first off, I'd say that even the big companies are struggling to go paperless. customers that you mentioned customize and you guys were SAS space. How do you What's the conversation like So in the true, I'd say the small business of a medium you start getting There's a customer having the choice Thio We have some markets with things like data, privacy and what have you that they may, You have products for pest control. So if you think about manufacturing utilities, So all the three that you mentioned mobile is huge. fleets more efficient How does that figure into the service is? So Fleet management is an important part, and it's one that you have a very tangible return on Um And then I want to understand how you guys So, you know, overall, we're on track to be about 700 revenue this year in you're you're deep customer customs agent deep Yeah, So really, when you think about a i optimization, I f s world 2019 right back.
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Keynote Analysis | IFS World 2019
>>from Boston, Massachusetts. It's the Q covering I. F s World Conference 2019. Brought to you by I F s. Hi, buddy. Welcome to Boston. You're watching the cubes coverage of I s s World in the Heinz Auditorium in Boston. I'm Day Volonte with my co host, Paul Gill and Paul. This is the the largest enterprise resource planning software company that our audience probably has never heard of. This is our second year covering I f s World. Last year was in Atlanta. They moved to Boston. I f s is a Swedish based company. They do about $600 million in annual revenue, about 3700 employees. And interestingly, they have a development center in Sri Lanka, of all places. Which is kind of was war torn for the last 15 years or so, but nonetheless, evidently, a lot of talent and beautiful views, but so welcome. >>Thank you, Dave. I have to admit, before our coverage last year, I had never even heard of this company been around this industry for more than 30 years. Never heard of this company. They've got 10,000 customers. They've got a full house next door in the keynote and very enthusiastic group. This is a focus company. It's a company that has a lot of ah ah, vision about where wants to go some impressive vision documents and really a company that I think it's coming out of the shadows in the U. S. And it will be a force to be reckoned with. >>So I should say they were founded in the in the mid 19 eighties, and then it kind of re architected their whole platform around Client server. You remember the component move? It was a sort of big trends in the in the nineties. In the mid nineties opened up offices in the United States. We're gonna talk to the head of North America later, and that's one of the big growth areas that growing at about three. They claim to be growing at three x the overall market rate, which is a good benchmark. They're really their focus is really three areas e r. P asset management software and field service management, and they talk about deep functionality. So, for instance, they compete with Oracle ASAP. Certainly Microsoft and in four company we've covered in four talks a lot about the last mile functionality. That's not terminology that I f s uses, but they do similar types of things. I'll give you some examples because, okay, what's last mile? Functionality? Things like, um, detailed invoicing integration, contract management. Very narrow search results on things like I just want to search for a refurbished parts so they have functionality to allow you to do that. Chain. A custom e custody chain of custody for handling dangerous toxic chemicals. Certain modules to handle FDA compliance. A real kind of nitty gritty stuff to help companies avoid custom modifications in certain industries. Energy, construction, aerospace and defense is a big area for that. For them, a CZ well as manufacturing, >>there's a segment of the e r P market that often is under uh is under seeing. There's a lot of these companies that started out in niches Peoples off being a famous example, starting out on a niche of the market and then growing into other areas. And this company continues to be very focused even after 35 years, as you mentioned, just energy aerospace, a few construction, a few basic industries that they serve serve them at a very deep level focused on the mid market primarily, but they have a new positioning this year. They're calling the challengers for the challengers, which I like. It's a it's a message that I think resonates. It's easy to understand there position their customers is being the companies that are going to challenge the big guys in their industries and this time of digital transformation and disruption. You know, that's what it's all about. I think it's a great message of bringing out this year. >>Of course I like it because the Cube is a challenger, right? Okay, even though we're number one of the segments that we cover, we started out as a sort of a challenger. Interestingly, I f s and the gardener Magic Corners actually, leader and Field Service Management. They made an acquisition that they announced today of a company called Asked. He asked, U S he is a pink sheet OTC company. I mean, they're very small is a tuck in acquisition that maybe they had a They had a sub $20 million market cap. They probably do 25 $30 million in revenue. Um, Darren rules. The CEO said that this place is them is the leader in field service management, which is interesting. We're gonna ask him about that to your other point. You look around the ecosystem here that they have 400 partners. I was surprised last night. I came early to sort of walk around the hall floor. You see large companies here like Accenture. Um and I'm surprised. I mean, I remember the early days when we did the service. Now conferences 2013 or so you didn't see accent. You're Delloye E Y p W c. Now you see them at the service now event here that you see them? I mean, and I talked to essential last night. They said, Yeah, well, we actually do a lot of business in Europe, particularly in the Scandinavian region, and we want to grow the business in the U. S. >>Europe tends to be kind of a blind spot for us cos they don't see the size of the European market, all the activities where some of the great e. R. P. Innovation has come out of Europe. This company, as you mentioned growing three times the rate of the market, they have a ah focus on your very tight with those customers that they serve and they understand them very well. And this is a you can see why it's centuries is is serving this market because, you know they're simply following the money. There's only so much growth left in the S a P market in the Oracle market. But as the CEO Darren said this morning, Ah, half of their revenues last year were from net new customers. So that's that's a great metric. That indicates that there's a lot of new business for these partners to pursue. >>Well, I think there's there's some fatigue, obviously, for big, long multi year s AP integrations, you're also seeing, you know, at the macro we work with Enterprise Technology Research and we have access to their data set. One of the things that we're seeing is a slowdown in the macro. Clearly, buyers are planning to spend less on I T in the second half of 2019 than they did in the first half of 2019 and they expect to spend less in Q four than they expected to in July. So things are clearly softening at the macro level. They're reverting back to pre 2018 levels but it's not falling off a cliff. One of the things that I've talked to e t. R about the premise we put forth love to get your thoughts is essentially we started digital transformation projects, Let's say in earnest in 2016 2017 doing a lot of pilots started kind of pre production in 2018. And during that time, what people were doing is they were had a lot of redundancy. They would maintain the legacy systems and they were experimenting with disruptive technologies. You saw, obviously a lot of you. I path a lot of snowflake and other sort of disruptive technology. Certainly an infrastructure. Pure storage was the beneficiary of that. So you had this sort of dual strategy. We had redundancy of legacy systems, and then the new stuff. What's happening now is, is the theory is that we're going into production. Would digital transformation projects and where were killing the legacy stuff? Okay, we're ready to cut over >>to a new land on that anymore, >>right? We're not going to spend them anymore. Dial that down. Number one. Number two is we're not just gonna spray and pray on all new tech Blockchain a i rp et cetera. We're gonna now focus on those areas that we think are going to drive business value. So both the incumbents and the disruptors are getting somewhat affected by that. That slowdown in that narrowing of the focused. And so I think that's really what's happening. And we're gonna, I think, have to absorb that for a year or so before we start to see new wave of spending. >>There's been a lot of spending on I t over the last three years. As you say, driven by this need, this transition that's going on now we're being going to see some of those legacy systems turned off. The more important thing I have to look at, I think the overall spending is where is that money being spent is being spent on on servers or is it being spent on cloud service is, and I think you would see a fairly dramatic shift going on. They're so the overall, the macro. I think it's still healthy for I t. There's still a lot of spending going on, but it's shifting to a new area there. They're killing off some of that redundancy. >>Well, the TR data shows couple things. There's no question that server and storage spending is has been declining and attenuating for a number of quarters now. And there's been a shift going on from that. Core infrastructure, obviously, into Cloud Cloud continues its steady march in terms of taking over market share. Other areas of bright spots security is clearly one. You're seeing a lot of spending in an analytics, especially new analytics. I mentioned Snowflake before we're disrupting kind of terror Data's traditional legacy enterprise data warehouse market. The R P. A market is also very hot. You AI path is a company that continues to extend beyond its its peers, although I have to say automation anywhere looks very strong. Blue Prison looks very strong. Cloudera interestingly used to be the darling is hitting sort of all time lows in the E. T R database, which is, by the way, that one of the best data sets I've ever seen on on spending enterprise software is actually still pretty strong. Particularly, uh, you know, workday look strong. Sales force still looks pretty strong. Splunk Because of the security uplift, it still looks pretty strong. I have a lot of data on I f s Like you said, they don't really show up in the e t R survey base. Um, but I would expect, with kind of growth, we're seeing $600 million. Company hopes to be a $1,000,000,000 by 2022 2021. I would think they're going to start showing up in the spending >>service well again in Europe. They may be They may be more dominant player than we see in the US. As I said, I really had not even heard of the company before last year, which was surprising for a company with 10,000 customers. Again, they're focused on the mid market in the mid market tends to fly a bit under the radar. Everyone thinks about what's happening in the enterprise is a huge opportunity out there. Many more mid market companies and there are enterprises. And that's a that's been historically a fertile ground for e. R. P. Companies to launch. You know J. D. Edwards came out of the mid market thes are companies that may end up being acquired by the Giants, but they build up a very healthy base of customers, sort of under the radar. >>Well, the other point I wanted to make I kind of started to about the digital transformation is, as they say, people are getting sort of sick of the big, long, ASAP complicated implementations. As small companies become midsize companies and larger midsize companies, they they look toward an enterprise resource planning, type of, of platform. And they're probably saying, All right, wait. I've got some choices here. I could go with an an I F. S, you know, or maybe another alternative. T s a p. You know, A S A P is maybe maybe the safe bet. Although, you know, it looks like i f s is got when you look around at the customers, they have has some real traction, obviously a lot of references, no question about it. One of things they've been digging for saw this gardener doing them for a P I integrations. Well, they've announced some major AP I integrations. We're gonna talk to them about that and poke it that a little bit and see if that will So to solve that criticism, that what Gardner calls caution, you know, let's see how real that is in talking to some of the customers will be talkinto the executives on members of the ecosystem. And obviously Paul and I will be giving our analysis as well. Final thoughts >>here. Just the challenge, I think, is you note for these midmarket focus Cos. Has been growing with their customers. And that's why you see of Lawson's in the JD Edwards of the World. Many of these these mid market companies eventually are acquired by the big E R P vendors. The customers eventually, if they grow, have to go through this transition. If they're going to go to Enterprise. The R P you know, they're forced into a couple of big choices. The opportunity and the challenge for F s is, can they grow those customers as they move into enterprise grade size? Can they grow them with with E. I. F s product line without having them forcing them to transition to something bigger? >>So a lot of here a lot of action here in Boston, we heard from several outside speakers. There was Linda Hill from Harvard. They had a digital transformation CEO panel, the CEO of soo say who will be on later uh PTC, a Conway, former PeopleSoft CEO was on there. And then, of course, Tony Hawk, which was a lot of fun, obviously a challenger. All right, so keep it right there, buddy. You're watching the Cube live from I F s World Conference at the Heinz in Boston right back, right after this short break.
SUMMARY :
Brought to you by I F s. house next door in the keynote and very enthusiastic group. functionality to allow you to do that. And this company continues to be very You look around the ecosystem here that they have 400 partners. But as the CEO Darren said this morning, Ah, half of their revenues last One of the things that I've talked to e t. R about the premise we put forth love to get your thoughts is essentially That slowdown in that narrowing of the focused. There's been a lot of spending on I t over the last three years. I have a lot of data on I f s Like you said, As I said, I really had not even heard of the company before last year, which was surprising for a We're gonna talk to them about that and poke it that a little bit and see if that will So to solve The customers eventually, if they grow, have to go through this transition. So a lot of here a lot of action here in Boston, we heard from several outside speakers.
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The Hon. Wayne M. Caines, J.P., M.P. & Kevin Richards | Blockchain Futurist Conference 2018
(techy music) >> Live from Toronto, Canada, it's theCUBE covering Blockchain Futurist Conference 2018, brought to you by theCUBE. (techy music) >> Hello, everyone, and welcome back. This is the live CUBE coverage here in Toronto, Ontario here in Canada for the Untraceable Blockchain Futurist Conference. This is day two of wall-to-wall CUBE coverage. We've got great presentations going on, live content here on theCUBE as well as in the sessions, great networking, but more important all the thought leaders in the industry around the world are coming together to try to set the standards and set up a great future for cryptocurrency and blockchain in general. Our next two guests are very special guests for theCUBE and we're excited to have them on, the Honorable Wayne Caines, Minister of National Security for the government of Bermuda, and Kevin Richards, concierge on the Fintech business development manager, part of the Bermuda Business Development Agency. Thank you guys for coming on, really appreciate the time. >> Thanks very much. >> Thank you for having us. >> Why this is so important is that we heard your presentation onstage, for the folks, they can catch it online when they film it and record it, but the Bermuda opportunity has really emerged as a shining light around the world, specifically in the United States. In California, where I live, Silicon Valley, you guys are now having great progress in hosting companies and being crypto-friendly. Take a minute to explain what's happening, what's the current situation, why Bermuda, why now, what's developing? >> This has all happened over the last eight months. We were looking in November of 2017 to go in the space. In January we went to the World Economic Forum in Davos in Switzerland. When we went to Davos in Switzerland something very interesting happened. People kept coming up to us, I was like the Hound of the Baskerville, or the Pied Piper if you please, and so, so many people were coming up to us finding out more information about Bermuda. We realized that our plan that we thought we could phase in over 18 months, that it had to be accelerated. So, whilst we were at the World Economic Forum in Davos we said to people, "Listen, if you want to change the world, "if you want to help Bermuda to grow, if you're serious," this is a Thursday, "Meet us in Bermuda on the Monday morning." On the Monday morning there are 14 different people in the room. We sat in the room, we talked about what we wanted the world to be, how could Bermuda be in place, what are the needs in this industry, and by the Wednesday we had a complete and total framework, and so we split up into industries. Number one was ICOs, we wanted to look at how to regulate the ICO market. Number two, we wanted to look at digital asset exchanges or cryptocurrencies or how do we regulate security tokens and utility tokens and what do exchanges look like, how do we do exchanges in Bermuda, and then we wanted to talk about education and setting up incubators. And so, come fast forward to July, August, we have an ICO bill in place that allows us to look at setting up ICOs in Bermuda. We wanted to focus on the legal and the regulatory framework, so this is a nascent space. A number of people are concerned about the dark actors, and so we wanted to set up a jurisdiction that traded on our international reputation. Now, remember for the last 60 years reinsurance, finance, captives, hedge funds, people in the financial services market have been coming to Bermuda because that's what we do well. We were trading on the reputation of our country, and so we couldn't do anything to jeopardize that. And so, when we put in place the ICO legislation we had consultants from all over the world, people that were bastions and beasts in industry, in the ICO industry and in the crypto world came to Bermuda and helped us to develop the legislation around setting up an ICO. So, we passed the ICO legislation. The next phase was regulating cryptocurrencies, regulating digital assets, and we set up a piece of legislation called the Digital Asset Business Act, and that just regulates the digital asset space exchanges, and the last piece we wanted to do was a banking piece, and this is the last and we believe the most significant piece. We were talking to people and they were not able to open up bank accounts and they were not able to do, so we said, "Listen, "the Bermuda banking environment is very strong." Our banking partners were like, "Listen, "we love what you guys are doing, "but based on our corresponding banking relationships "we don't want to do anything to jeopardize that space," but how could we tell people to come to Bermuda, set up your company, and they can't open bank accounts? And so, we looked at, we just recently passed creating a new banking license that allows people to set up their business in Bermuda and set up banking relationships and set up bank accounts. That simply has to receive the governor's Royal Assent. As you know, Bermuda's still a British pan-territory, and financial matters have to get the okay of the Queen, and so that is in the final stages, but we're excited, we're seeing an influx, excuse me, a deluge of people coming to Bermuda to set up their companies in Bermuda. >> So, the first two pieces are in place, you have the legislation... >> Mm-hm. >> Mm-hm. >> You have the crypto piece, and now the banking's not yet, almost approved, right? >> It's there, it simply has to get the final sign-off, and we believe that it should take place within the next two weeks. So, by the time this goes to air and people see it we believe that piece will be in place. >> So, this is great news, so the historical perspective is you guys had a good reputation, you have things going on, now you added on a new piece not to compromise your existing relationships and build it on. What have you guys learned in the process, what did you discover, was it easy, was it hard, what are some of the learnings? >> What we've learnt is that KYC, know your customers, and the AML, anti-money laundering, and terrorist financing pieces, those are the critical pieces. People are looking in this space now for regulatory certainty, so when you're talking about people that are in the space that are doing ICOs of $500 million or exchanges that are becoming unicorns, a billion dollar entity in three months, they want a jurisdiction that has regulatory certainty. Not only do they want a jurisdiction with regulatory certainty, they want to open up the kimono. What has this country done in the past, what do they have to trade on? We're saying you can go to a number of countries in the world, but look at our reputation, what we're trading on, and so we wanted to create a space with regulatory certainty, and so we have a regulatory body in Bermuda called the Bermuda Monetary Authority, and they are an independent regulator that they penned the Digital Asset Business Act, and so the opportunity simply for people around the world saying, "Listen, we want to do an ICO, "we want to set up an exchange. "Where's a country that we can go to that has a solid reputation? Hold on, how many countries have law surrounding"-- >> Yeah. >> "The Digital Asset Business Act, how many ICO countries have laws. Guess what, Bermuda becomes a standout jurisdiction in that regard. >> Having a regulation signaling is really important, stability or comfort is one, but the one concern that we hear from entrepreneurs, including, you know, ourselves when we look at the market is service providers. You want to have enough service providers around the table so when I come in and domicile, say, in Bermuda you want to have the banking relationships, you want to have the fiduciary-- >> Yes. >> You want to have service providers, law firms and other people. >> Yes. >> How are you guys talking about that, is that already in place? How does that fit into the overall roadmap for your vision? >> I don't want to beat a horse (laughs) or beat a drum too much, that is what we do as a country. So, we have set up, whether it's a group of law firms and the Bermuda, excuse me, the Bermuda Monetary Authority, the Bermuda that's the register of companies that sets up the companies. We have Kevin, and Kevin will tell you about it, he leads our concierge team. So, it's one throat to choke, one person that needs, so when you come to really understand that the ease of business, a county that's business-friendly with a small country and with a small government it's about ease of reference. Kevin, tell us a little about the concierge team. >> It's like the Delaware of the glove, right? >> Absolutely. >> Come in, domicile, go and tell us how it works. >> I'll give you a little bit of background on what we do on the concierge side. So, one thing that we identified is that we want to make sure that we've got a structure and a very clearly defined roadmap for companies to follow so that process from when they first connect with the BDA in Bermuda to when they're incorporated and set up and moved to Bermuda to start running their business is a seamless process that has very clearly identifiable road marks of different criteria to get through. So, what I do as a concierge manager is I will identify who that company needs to connect with when they're on the ground in Bermuda, get those meetings set up for when they come down so that they have a very clearly mapped out day for their trip to Bermuda. So, they meet with the regulator, they meet with the government leaders, they meet with the folks who've put together legislation that, obviously you mentioned the service providers, so identifying who's the right law firm, corporate service provider, advisory firm on the ground in Bermuda, compliance company, and then making sure that depending on what that company wants to achieve out of their operation in Bermuda they've got an opportunity to connect with those partners on their first trip so that they can put that road map together for-- >> So, making it easy... >> Making it very easy to set up in Bermuda. >> So, walk me through, I want to come down, I want to do business-- >> Yeah. >> Like what I hear, what do I do? >> So, you send me an email and you say, "Listen, Wayne, we're looking at "doing an ICO launch in Bermuda. "I would like to meet with the regulator. "Can you put a couple law firms in place," in an email. I zip that over to Kevin or you go on our Fintech.bm website-- >> Yeah, I was going to say... >> Fintech.bm website, and Kevin literally organizes a meeting. So, when you come to Bermuda for your meeting you have a boardroom and all the key players will be in the boardroom. >> Got it. >> If you need somebody to pick you up at the airport, if you need a hotel, whatever you need from soup to nuts our team actually makes that available to you, so you're not running around trying to find different people to meet, everyone's there in the room. >> And the beauty of Bermuda is that, you know, the city of Hamilton's two square kilometers, so your ability to get a lot done in one day is, I think, second to nowhere else on the planet, and working with the BDA concierge team you're, you know, we connect with the client before they come down and make sure we identify what their needs are. >> The number one question I have to ask, and this is probably the most important for everyone, is do they have to wear Bermuda shorts? (laughs) >> When you come you tell us your size, you tell us what size and what color you want and we'll make sure, so the... I tell this story about the Bermuda shorts. The Bermuda shorts, Bermuda's always had to adapt and overcome. Bermuda, we have something called the Bermuda sloop and it's a sailing rig, and so we... The closest port to Bermuda is Cape Hatteras in North Carolina and we wanted to cut down the time of their voyage, so we created a sailing rig called the Bermuda rig or the Bermuda sloop. Over the years that has become the number one adopted rig on sailing boats. We've always had to adapt and become innovative. The Bermuda shorts were a way to adapt and to get through our very hot climate, and so if you look at just keep that in mind, the innovation of the Bermuda sloop and the Bermuda shorts. Now, this Fintech evolution is another step in that innovation and a way that we take what's going on in the world and adapt it to make it palatable for everyone. >> What's the brand promise for you guys when you look at when entrepreneurs out there and other major institutions, especially in the United States, again, Silicon Valley's one of the hottest issues around-- >> Yes. >> Startups for expansion, right now people are stalled, they don't know what to do, they hear Malta, they hear other things going on. What's the promise that you guys are making to the law firms and the people, entrepreneurs out there trying to establish and grow? >> The business proposition is this, you want a jurisdiction that is trading on years of solid regulation, a country and a government that understands business, how to be efficacious in business. When you come to Bermuda you are trading on a country that this is what we've done for a living. So, you don't have to worry about ethical government, is your money going to be safe. We have strong banking relationships, strong law firms, top tier law firms in Bermuda, but more importantly, we have legislation that is in place that allow you to have a secure environment with a clear regulatory framework. >> What should people look for as potentially might be gimmicks for other countries to promote that, you know, being the Delaware for the globe and domiciling, and what are some of the requirements? I mean, some have you've got to live there, you know, what are some of the things that are false promises that you hear from other potential areas that you guys see and don't have to require and put the pressure on someone? >> When you hear the people say, "We can turn your company around in the next day." That we don't require significant KYC and AML. Red flags immediately go up with the global regulatory bodies. We want when a person comes to Bermuda to know that we have set what we believe is called the Bermuda Standard. When you come to Bermuda you're going to have to jump through some legal and regulatory hoops. You can see regulation, the ICO regulation and the Digital Asset Business Act on BermudaLaws.bm. BermudaLaws.bm, and you can go through the legislation clause by clause to see if this meets your needs, how it will affect your business. It sets up clearly what the requirements are to be in Bermuda. >> What's the feedback from business, because you know, when you hear about certain things, that's why Delaware's so easy, easy to set up, source price all know how to do in a corporation, let's say in the United States-- >> We don't have the SEC handicaps that they have in America, going from jurisdiction to jurisdiction. You're dealing with a colony that allows you to be in a domicile that all of the key players finances... We have a number of the key elements that are Bermuda. We're creating a biosphere that allows a person to be in a key space, and this is, you have first move as advantage in Bermuda. We have a number of things that we're working on, like the Estonia model of e-residency, which we will call EID, that creates a space that you are in Bermuda in a space that is, it's protected, it's governed. We believe that when companies set up in Bermuda they are getting the most secure, the strongest business reputation that a country could have. >> The other thing I would add, I'll just say, you know, quality, certainty, and community is what that brand represents. So, you know, you've got that historical quality of what Bermuda brings as a business jurisdiction, you have the certainty of the regulation and that pathway to setting your company up and incorporating in Bermuda, and then the community piece is something that we've been working on to make sure that any of the players that are coming to Bermuda and connecting with Bermuda and setting up there, they feel like they're really integrated into that whole community in Bermuda, whether it be from the government side, the private sector side. You can see it with the companies that have set up that are here today, you know, they really have embraced that Bermuda culture, the Bermuda shorts, and what we're really trying to do as a jurisdiction in the tech space. >> What can I expect if I domicile in Bermuda from a company perspective, what do I have to forecast? What's the budget, what do I got to do, what's my expectation? Allocate resources, what's going to be reporting, can you just give us some color commentary? >> So, with reference, it depends what you're trying to do, and so there will be different requirements for the ICO legislation. For the ICO legislation a key piece of the document actually is the whitepaper. Within the whitepaper you will settle what your scope of business is, what do you want to do, what you know, everything, everything that you require will be settled in your whitepaper. After the whitepaper is approved and if it is indeed successful, you go to the Bermuda Monetary Authority and they will outline what they require of you, and very shortly thereafter you will able to set up and do business in Bermuda. With reference to the digital asset exchanges, the Digital Asset Business Act, such a clear guideline, so you're going to need to have a key man in Bermuda, a key woman in Bermuda. >> Yeah. >> You're going to need to have a place of presence in Bermuda, so there are normal requirements-- >> There's levels of requirements based upon the scope. >> Absolutely. >> So, if you run an exchange it has to be like ghosting there. >> Yeah, yeah, you need boots on the ground. >> And that's why the AML and the KYC piece is so important. >> Yeah. Well, I'm super excited, I think this is a great progress and this has been a big uncertainty, you know, what does this signal. People have, you know, cognitive dissonance around some-- >> Yes. >> Of the decisions they're making, and I've seen entrepreneurs flip flop between Liechtenstein, Malta, Caymans. >> Right. >> You know, so this is a real concern and you guys want to be that place. >> Not only, we will say this, Bermuda is open for business, but remember, when you see the requirements that we have some companies won't meet the standard. We're not going to alter the standard to accommodate a business that might not be what we believe is best for Bermuda, and we believe that once people see the standard, the Bermuda Standard, it'll cascade down and we believe that high tides raises all boats. >> Yeah. >> We have a global standard, and if a company meets it we will be happy for them to set up and do business in Bermuda. >> Well, I got to say, it's looking certainly that leaders like Grant Fondo in Silicon Valley and others have heard good things. >> Yeah. >> How's been the reaction for some of the folks on the East Coast, in New York and around the United States and around the world? What has been some of the commentary, what's been the anecdotal feedback that you've heard? >> We're meeting three and four companies every day of the week. Our runway is full of Fintech companies coming to Bermuda, from... We have insurtech companies that are coming in Bermuda, people are coming to Bermuda for think tanks, to set up incubators and to do exploratory meetings, and so we're seeing a huge interest in Bermuda the likes have not been seen in the last 20 years in Bermuda. >> Well, it's been a pleasure chatting with you and thanks for sharing the update and congratulations. We'll keep in touch, we're following your progress from California, we'll follow up again. The Honorable Wayne Caines, the Minister of National Security of the government of Bermuda, and Kevin Richards, concierge taking care of business, making it easy for people. >> Oh, yeah, oh, yeah. >> We'll see, I'm going to come down, give me the demo. >> We're open for business and we're looking forward to seeing everybody. (laughs) >> Thank you for the opportunity. >> Thank you very much. >> Thank you. >> Major developments happening in the blockchain, crypto space. We're starting to see formation clarity around, standards around traditional structures but not so traditional. It's not your grandfather's traditional model. This is what's great about blockchain and crypto. CUBE coverage here, I'm John Furrier, thanks for watching, stay with us. More day two coverage after this short break. (techy music)
SUMMARY :
to you by theCUBE. Ontario here in Canada for the Untraceable and record it, but the Bermuda opportunity and so that is in the final stages, So, the first two pieces are So, by the time this so the historical perspective and so the opportunity simply for people standout jurisdiction in that regard. around the table so when You want to have service providers, that the ease of business, a county that's and tell us how it works. on the ground in Bermuda, to set up in Bermuda. So, you send me an email and you say, So, when you come to that available to you, else on the planet, and what color you want What's the promise that and a government that and the Digital Asset Business We have a number of the key and that pathway to Within the whitepaper you will settle what There's levels of requirements So, if you run an exchange it boots on the ground. KYC piece is so important. you know, what does this signal. Of the decisions they're making, and you guys want to be that place. the standard to accommodate to set up and do business in Bermuda. Well, I got to say, in Bermuda the likes have not been and thanks for sharing the come down, give me the demo. forward to seeing everybody. the blockchain, crypto space.
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Gabriel Abed, Bitt & Digital Asset Fund | Global Cloud & Blockchain Summit 2018
(upbeat music) >> Live from Toronto, Canada, it's theCUBE. Covering Global Cloud and Blockchain Summit 2018. Brought to you by theCUBE. >> Hello everyone and welcome back to theCUBE's live coverage in Toronto for the Blockchain Cloud Summit, part of the Blockchain Futurist event happening tomorrow and Thursday here in Toronto. I'm John Furrier with Dave Vellante. We're here with Gabriel Abed who's the founder of Bitt and also the Digital Asset Fund. Great story he's been there from the beginning. President at creation in the movement that's now changing the world. Blockchain and cryptocurrency certainly. Infrastructure and token economics, changing how things are doing. And rolling out, reimagining everything from infrastructure to value exchanges. Gabriel welcome to theCUBE. >> Thank you it's great to be here. >> So we were just talking on camera, you like to go after the big changes. You're an entrepreneur, you have that fire in your belly. You've been very successful. Where are we? I mean, you've been part of the movement, we're now on the cusp of mainstream adoption, there's still work to do. >> Oh, plenty of work. Lots of infrastructure still to build, many regulators and legislators still to educate, lots of laws still to be amended and changed. And, at the end of the day, it's happening and it's happening quickly and beautifully right now. The entire industry is changing. >> One of the things that you've done, you've taken on some big projects and you've made change happen. Regulation is one of the hottest topics we're hearing certainly in the United States, it affects innovation and there's so much entrepreneurial activity happening right now. There's so many entrepreneurs, alpha entrepreneurs really want to do great things, and regulation is just a blocker. It's an antibody for innovation. And you've busted through that. And it's probably going to continue. The old guard is either going to be replaced or adapting to the technology. You've done that, and a lot of people want to do what you've done. What's the secret? What's the secret of your success? How have you taken on these big, incumbent positions and taken them over >> But you're not running from regulators, you're embracing them. >> No, no, I think regulators are important to a responsible and sophisticated market. When my partner and I started Bitt in 2013, 2014, we immediately realized that if we wanted to build a product for the monetary authorities around the world, we needed to have the buy-in from the regulators. So from day one we were regulator-friendly. And it's not to say that we don't believe in a decentralized future, I'm as big of an advocate for decentralization and the freedom of information as anyone else, but I'm also a big believer in if you're a product for a market in the traditional world you have to involve the regulators in order to ensure that product does its job, keeps the consumers safe, and ensures that the economy around it doesn't collapse. So regulators are critical in this field. >> Talk about what you guys have done. Take a minute to explain the project you did, how it worked out, the tenacity, but also, what was the outcome? What were you trying to do in the project and where is it right now? >> It depends on the project you're referring to >> Maybe start at the beginning >> The Caribbean >> Let's start at the beginning. >> Yeah, yeah. >> Okay, so, Gabriel Abed, born, raised, educated in Barbados, around the age of 19, I decided I was going to take my computer science education a bit further. I went to Canada, I did a Bachelor of IT, where I majored in network security. In Ontario, the University of Ontario. And, unlike the rest of of my peers, who usually stay in Canada, I decided to go back to my little nation with the education that I had just received. And I took that education home, and started one of the world's first blockchain companies, but at the time I didn't understand blockchain per se, I understood it as a commodity, as a cool investment, I didn't understand the true nature behind the protocol itself. It was only until 2013 that my partner and I ran one of the larger mining operations in the world, that we realized a commodity was actually a protocol. A network tool. A system that you could build on top of. So in 2014, we actually created one of the world's first blockchain assets, on Bitcoin's blockchain. And that a representation of a digital dollar for a central bank. And the notion behind Bitt.com in 2014 was, let's compete with cash, because it's inefficient, it's costly, and it slows down the movement of society. So what we wanted to do is create a digital version of that, that would save economies hundreds of millions of dollars. Cash is expensive to to create, that linen, plastic, paper money, it's easily forged, it can be counterfeited, it's hard to transport, it has an expense to transport, it has an expense to count, it has an expense to secure, and then it has overheads around the entire ecosystem of accountability. Whereas, a blockchain-based digital dollar eliminates all of those efficiencies, and increases the ability for a monetary authority to trace, track, and have a better form of anti-money laundering, counter-terrorism financing and a better overview of their entire society. So that all, we took that notion, went to the central bank of Barbados, who at the time was being led by Dr. DeLisle Worrell, and our very first meeting he had asked me to excuse his office. And 13 meetings later, and a whole two years, lots of development, building out infrastructure around compliance, around finance, around security, and around regulation, we finally got the nod of approval from Dr. DeLisle Worrell to operate a fiat example of a digital dollar in Barbados. And since then, we have been working with several central banks around the world, bitt.com today is the leading central bank provider for digital dollars. A lot has changed, I've developed other tools since, and other businesses, but bitt.com continues to be the best friend for central banks looking to move and transition into the digital arena. >> Why, I mean other than a closed mindset, why wouldn't every government around the world want to move in this direction? Initiate some kind of FedCoin, for example. >> Education, education, it's the fear that the system may not be scalable, it's the fear that the system could be hacked, it's the fear that they could be cut out, their control, at the end of the day, monetary authorities, like the Federal Reserve, they have a control on the money supply. Whereas, something like decentralized cryptographic currencies, there is nobody in control of the money supply. Hence, inflation versus deflation systems. Then there's the issue of hacking and the threat of digital and cybersecurity. Typically, the head of these monetary authorities are older gentlemen who are traditionally conservative. And who are not (mumbles) with cybersecurity. So the fear of hacking is very real for someone like them, whereas someone like me who is trained as a network security expert, those fears can be mitigated with good policy and procedure, cold wallets, and the right process, to ensuring the environment can run without the risk or the fear of malicious attacks. So it really boils down to education. The educated governors of central banks, like there's one, for example, Timothy Antoine. Dr. Antoine is the governor of the Eastern Caribbean Central Bank. And they govern and mandate the currency union of eight islands below them. St. Lucia, Grenada, Antigua, et cetera. Now, he's a governor that gets this and has wrapped his head around it, and understands that this is the future. He gets it so much that he signed an agreement with bitt.com to begin exploring a pilot for his currency union to have a digital dollar implemented in it. You also have governors and presidents like that of Curacao. Or the central bank of Curacao, where we've just signed an agreement to move forward with a phase of looking at the implications of rolling out a digital dollar in a society like Curacao and St. Maarten. What is the ramifications? What is the feasibility study behind that? So, to answer your question, it's not every single regulator, governor, and central bank manager is going to head toward this technology tomorrow. But with more education, and more lobbying, you will see more and more central bank governors moving in this direction, because it's better, cheaper, faster, makes their job easier, gives them more control, gives them more oversight, and provides all the things that they would want as a central bank to continue to do their job for their society. Which is to protect their dollar from alien threats. And to ensure that the dollar remains stable, and to just generally ensure that the society is functioning the way it should. >> Gabriel, what's your vision on what this will enable for the citizens? What's the impact that you see happening? If this continues down the trajectory, what is the adoption look like, impact to people's lives on a everyday basis. >> Well, for a very starting point, you democratize payment. Right now, if I want to make a payment, I have to go through a utility company called a bank. And this bank typically has frictional costs, and frictional overheads and time. That's one of the biggest problems, is that these monopolistic infrastructures hinder the ability for the average participation of a free-flowing payment system. So what you end up having is rather than me being able to make a digital payment in seconds, with no cost, I have to wait days, I have to use manual-based systems whether it's check, cash or the bank's Visa Mastercard system. And then it has frictional costs. So right off the bat, you democratize payment. What does that do for a society in a developing nation? It empowers people. And you're empowered because now as a developer, I can build on this payment system. As an entrepreneur, I can tap in to this payment system. As a merchant, I can utilize this low-cost payment system. As a society, I now have GDP growth because of financial inclusion. The underbanked, who do not have access to banking facilities for one reason or another, maybe they don't like the bank, maybe the banks don't like them. Maybe they don't have two proofs of ID. Maybe they don't have a fixed place of abode. Maybe they don't have the minimum deposit amount. All of these features keep the poor and the underbanked out of the system. Whereas, in developed nations, we have mobile penetration rates that are through the roof. In some cases, like Barbados, over 100 percent. So if you have 100 percent penetration rate of this mobile platform, this thing in my pocket, but I cannot access the banking system, well flip that around, democratize the payment system, allow payments to exist on this mobile phone, and watch how quickly society becomes banked. So what you end up having is full adoption. Why would we not have full adoption when it's cheaper, it's faster, it's more inclusive. >> And the data from that collective intelligence only creates a digital nation >> A more responsible environment. >> Wealth creation environment. >> It creates a more traced, tracked, and accountable society so that the monetary authorities in the government can now start making educated decisions on data. They now know who's buying milk, who's gambling, who's paying their taxes and who's not. >> The downstream benefits of this are massive. >> The downstream benefits are massive, enormous. They're disruptive. This is a brand new fiscal tool, a monetary tool, being given to central banks to start eroding the field of private e-money systems, and to start bringing about a uniform standard towards payments. Plain and simple. We're going to the central banks and introducing a new monetary instrument, that they're in control of. That now the commercial banks, the financial institutions, the corporatocracies, the citizens, and the merchants can all fall under one roof issued by their monetary authority. And this is not a cell phone company or a bank building their own private system that I have to jump through some hoops and some red tape and sign away my first born and give away my left arm to enter. This is a free and open source standard system. >> And it's networked, as you said, penetration is 100 percent on mobile or roughly that, it's a network society that now has digital fabric built into it. This is the future. >> But I played this out in terms of, when you talked about this in your panel, now every device, every thing, every physical asset will be instrumented. >> Yes. >> And as a result, theory can be coconuts. >> You're building the deep infrastructure. I remember we met with World Bank back in 2014 and they coined this term for me. Because they were saying we want to help entrepreneurs and it's important to help entrepreneurs in developing nations because they're the lifeblood of it. But what we are building is the deep infrastructure. And that's exactly what it is. It's the infrastructure that would allow the entrepreneur and the developer to now have a framework that they can build against to provide more uplift. So in essence, it's really going to be exponential growth once systems like this are implemented. The stock market can move digital, and people could buy stocks using digital dollars. E-commerce can occur because I can now buy things online or sell things online with digital dollars. I can now be part of a global, financial ecosystem, with my smartphone and my wallet. >> That's a great use case, congratulations on amazing success, so much is on your plate, you've had great success in this new era, what's on your plate now, what are you working on, what's happening in your world now? >> So in 2017, we realized Bitt was entering a new growth phase. It was no longer a battle of trying to convince regulators and central banks, our product had been proven. Our reputation had been proven. It was time now to scale the company into a professional level of dealing with these regulators around the world. At the end of the day, we would like to digitize cash, wherever cash exists. And to provide those tools for central banks around the world. That would require professional management, and that is not I. >> (laughs) >> So, our investors and shareholders were quite comfortable with our proposal of bringing on that professional management, so in 2017 I resigned as CEO, retained a board position and still single largest shareholder, but with the idea of what other types of infrastructure can I build, now that a deep infrastructure had been put in place. So I've been attacking three major markets, the banking sector, an actual commercial banking enterprise working with a group from the United States towards looking at deploying the future of where we think commercial banking is going. I think that the community, the crypto community in general, there's a lot of noise happening in the chats. And therefore we built a machine learning chat bot to start looking at market sentiments and aggregating market information and of course building common tools for community members. So we've launched a agent called Gabby, the form to gab. My name's Gabriel and my mom calls me Gabby, so it works out quite well. >> You have the gift of gab that's for sure. >> And then I launched a mutual fund with a very sophisticated former managing director of JPMorgan. A guy named Richard Galvin. And we launched the world's first protocol-only fund. We focus only on protocols. And that's called Digital Asset Fund. And we launched that in late 2017 and got full regulatory approval to become a professional fund, that handles 100 percent, solely crypto. And that's basically been my ride, and then outside of that, just your standard consulting, because everybody from World Bank, to IADB, to some government agency to some private organization wants to know about blockchain they want advice, and they need a team of people to give them that advice. So it's just been, all around, looking at how I can be an entrepreneur in this space, while finding great leaders, and partnering with those leaders to build out great companies. While still focusing on ensuring bitt.com becomes the solution for dollars, digital dollars, worldwide. >> Got a great mission, entrepreneur, builder, congratulations. >> Thank you. >> Industry's lucky to have you, congratulations. >> Thanks for coming on. >> Thanks for coming on theCUBE. >> Thank you guys. >> CUBE coverage here, live in Toronto for the first Global Cloud and Blockchain Summit in concert with the Blockchain Futures Conference happening in the next two days after today. More coverage from theCUBE we're live here, stay with us for more great coverage after this short break. (upbeat electronic music)
SUMMARY :
Brought to you by theCUBE. and also the Digital Asset Fund. So we were just talking on camera, And, at the end of the day, it's happening One of the things that you've done, But you're not running from regulators, and ensures that the economy around it doesn't collapse. Take a minute to explain the project you did, the best friend for central banks looking to move want to move in this direction? and the right process, to ensuring the environment can run What's the impact that you see happening? So right off the bat, you democratize payment. so that the monetary authorities in the government and give away my left arm to enter. This is the future. But I played this out in terms of, and the developer to now have a framework that they can At the end of the day, we would like to digitize cash, at deploying the future of where we think commercial banking the solution for dollars, digital dollars, worldwide. Got a great mission, entrepreneur, builder, in the next two days after today.
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Eric Herzog, IBM Storage Systems | Cisco Live US 2018
>> Live from Orlando, Florida, it's theCUBE, covering Cisco Live 2018. Brought to you by Cisco, NetApp, and theCUBE's ecosystem partners. >> Hello, everyone. Welcome back to theCUBE's live coverage here in Orlando, Florida for Cisco Live 2018. I'm John Furrier with Stu Miniman. Our next guest, Eric Herzog, Chief Marketing Officer and Vice President Global Channel Sales for IBM Storage. CUBE alum, great to see you. Thanks for comin' by. >> Great, we always love comin' and talkin' to theCUBE. >> Love havin' you on. Get the insight, and you get down and dirty in the storage. But I gotta, before we get into the storage impact, the cloud, and all the great performance requirements, and software you guys are building, news is that the CEO of Cisco swung by your booth? >> Yes, Chuck did come by today and asked how-- Chuck Robbins came by today, asked how we're doin'. IBM has a very broad relationship with Cisco, beyond just the storage division. The storage division, the IOT division, the collaboration group. Security's doin' a lot of stuff with them. IBM is one of Cisco's largest resellers through the GTS and GBS teams. So, he came by to see how were doin', and gave him a little plug about the VersaStack, and how it's better than any other converge solutions, but talked about all of IBM, and the strong IBM Cisco relationship. >> I mean, it's not a new relationship. Expand on what you guys are doin'. How does that intersect with division that he put on stage yesterday with the keynote. He laid out, and said publicly, and put the stake in the ground, pretty firmly, "This is the old way." Put an architecture, a firewall, a classic enterprise network diagram. >> Right, right. >> And said, "That's the old way," and put in a big circle, with all these different kinda capabilities with the cloud. It's a software defined world. Clearly Cisco moving up the stack, while maintaining the networking shops. >> Right. >> Networking and storage, always the linchpin of cloud and enterprise computing. What's the connection? Share the touch points. >> Sure, well I think the key thing is everyone's gotta realize that whether you're in a private cloud, a hybrid cloud, or a public cloud configuration, storage is that rock solid foundation. If you don't have a good foundation, the building will fall right over, and it's great that you've got cloud with its flexibility, it's ability to transform, the ability to modernize, move data around, but if what's underneath doesn't work, the whole thing topples over, and storage is a cruel element to that. Now, what we've done at IBM is we have made all of our solutions on the storage side, VersaStack, our all-flash arrays, all of our software defined storage, our modern data protection, everything is what we'll say is cloudified. K, it's, I designed for multiple cloud scenarios, whether it be private, hybrid, or public, or, as you've probably seen, in some the enterprise accounts, they actually use multiple public cloud providers. Whether it be from a price issue, or a legal issues, because they're all over the world, and we're supporting that with all our solutions. And, our VersaStack, specifically, just had a CVD done with Cisco, Cisco Validated Design, with IBM Cloud Private on a VersaStack. >> Talk about the scale piece, because this becomes the key differentiator. We've talked about on theCUBE, many of the times with you around, some of the performance you guys have, and the numbers are pretty good. You might wanna do a quick review on that. I'm not lookin' for speech and feeds. Really, Eric, I'd like to get your reaction, and view, and vision, on how the scale piece is kicking, 'cause clients want scale optionality. They're gonna have a lot of stuff on premise. They have cloud goin' on, multi cloud on the horizon, but they gotta scale. The numbers are off the charts. You're seein' all these security threats. I mean, it's massive. How are you guys addressing the scale question with storage? >> So, we've got a couple things. So first of all, the storage itself is easily scalable. For example, on our A9000 all-flash array, you just put a new one, automatically grows, don't have to do anything, k? With our transparent cloud tiering, you can set it up, whether it be our Spectrum Scale software, whether it be our Spectrum Virtualize software, or whether it be on our all-flash arrays, that you could automatically just move data to whatever your cloud target may be. Whether that be something with an object store, whether that be a block store, and it's all automated. So, the key thing here on scalability is transparency, ease of use, and automation. They wanna automatically join new capacity, wanna automatically move data from cloud to cloud, automatically move data from on premise to cloud, automatically move data from on premise to on premise, and IBM's storage solutions, from a software perspective, are all designed with that data mobility in mind, and that transportability, both on premise, and out to any cloud infrastructure they have. >> What should Cisco customers know about IBM storage, if you get to talk to them directly? We're here at Cisco Live. We've talked many times about what you guys got goin' on with the software. Love the software systems approach. You know we dig that. But a Cisco deployment, they've been blocking and tackling in the enterprise for years, clouds there. What's the pitch? What's the value proposition to Cisco clients? >> So, I think they key thing for us talkin' to a Cisco client is the deep level of integration we have. And, in this case, not just the storage division, but other things. So, for example, a lot of their collaboration stuff uses under pitting software from IBM, and IBM also uses some software from Cisco inside our collaboration package. In our storage package, the fact that we put together the VersaStack with all these Cisco Validated Designs, means that the customer, whether it be a cloud product, for example, on the VersaStack, about 20 of our public references are all small and medium cloud providers that wheel in the VersaStack, connect 'em, and it automatically grows simply and easily. So, in that case, you're looking at a cloud provider customer of Cisco, right? When you're looking at a enterprise customer of Cisco, man, the key thing is the level of integration that we have, and how we work together across the board, and the fact that we have all these Cisco Validated Designs for object storage, for file storage, for block storage, for IBM Cloud Private. All these things mean they know that it's gonna work, right outta the box, and whether they deploy it themselves, whether they use one of our resellers, one of our channel partners, or whether they use IBM services or Cisco service. Bottom line, it works right out of the box, easy to go, and they're up and running quickly. >> So, Eric, you talked a bunch about VersaStack, and you've been involved with Cisco and their UCS since the early days when they came up, and helped drive, really, this wave of converged infrastructure. >> Right. >> One of the biggest changes I've seen in the last couple years, is when you talk to customers, this is really their private cloud platform that they're building. When it first got rolled out, it was virtualization. We kinda added a little bit of management there. What, give us your viewpoint as to kinda high-level, why's this still such an important space, what are the reasons that customers are rolling this out, and how that fits into their overall cloud story? >> Well, I think you hit it, Stu, right on the head. First of all, it's easy to put in and deploy, k? That is a big check box. You're done, ready to go. Second thing that's important is be able to move data around easily, k? In an automated fashion like I said earlier, whether that be to a public cloud if they're gonna tier out. If I'm a private cloud, I got multiple data centers. I'm moving data around all the time. So, the physical infrastructure and data center A is a replica, or a DR center, for data center B, and vice versa. So, you gotta be able to move all this stuff around quickly easy. Part of the reason you're seeing converge infrastructure is it's the wave of what's hit in the server world. Instead of racking and stacking individual servers, and individual pieces of storage, you've got a pre-packed VersaStack. You've got Cisco networking, Cisco server, VMware, all of our storage, our storage software, including the ability to go out to a cloud, or with our ICP IBM Private Cloud, to create a private cloud. And so, that's why you're seeing this move towards converge. Yes, there's some hyperconverged out there in the market, too, but I think the big issue, in certain workloads, hyperconverged is the right way to go. In other workloads, especially if you're creating a giant private cloud, or if you're a cloud provider, that's not the way to go because the real difference is with hyperconverged you cannot scale compute and storage independently, you scale them together, So, if you need more storage, you scale compute, even if you don't need it. With regular converge, you scale them independently, and if you need more storage, you get more storage. If you need more compute-- If you need both, you get both. And that's a big advantage. You wanna keep the capex and opex down as you create this infrastructure for cloud. 'Member, part of the whole idea of cloud are a couple things. A, it's supposed to be agile. B, it's supposed to be super flexible. C, of course, is the modern nomenclature, but D is reduce capex and opex. And you wanna make sure that you can do that simply and easily, and VersaStack, and our relationship with Cisco, even if you're not using a VersaStack config, allows us to do that for the end user. >> And somethin' we're seeing is it's really the first step for customers. I need to quote, as you said, modernize the platform, and then I can really start looking at modernizing my applications on top of that. >> Right. Well, I think, today, it's all about how do you create the new app? What are you doin' with containers? So, for example, all of our arrays, and all of our arrays that go into a VersaStack, have free persistent storage support for any containerize environ, for dockers and kubernetes, and we don't charge for that. You just get it for free. So, when you buy those solutions, you know that as you move to the container world, and I would argue virtualization is still here to stay, but that doesn't mean that containers aren't gonna overtake it. And if I was the CEO of a couple different virtualization companies, I'd be thinkin' about buyin' a container company 'cause that'll be the next wave of the future, and you'll say-- >> Don't fear kubernetes. >> Yeah, all of that. >> Yeah, Eric Herzog's flying over to Dockercon, make a big announcement, I think, so. (laughing) >> Evaluation gonna drop a little bit. I gotta ask you a question. I mean, obviously, we watch the trends that David Floy and our team, NVMe is big topic. What is the NVMe leadership plan for you, on the product side, for you? Can you take a minute to share your vision for what that is gonna be? >> Sure, well we've already publicly announced. We've been shipping an NVMe over fabric solution leveraging InfiniBand since February of this year, and we demoed it, actually, in December at the AI Conference in New York City. So, we've had a fabric solution for NVMe already since December, and then shipping in February. The other thing we're doing is we publicly announced that we'd be supporting the other NVMe over fabric protocols, both fabric channel and ethernet by the end of the year. We publicly already announced that. We also announced that we would have an end to end strategy. In this case, you would be talking about NVMe on the fabric side going out to the switching and the host infrastructure, but also NVMe in a storage sub-system, and we already publicly announced that we'd be doing that this year. >> And how's the progress on that plan? You feel good about it? >> We're getting there. I can't comment yet, but just stay tuned on July 1st, and see what happens. >> So, talk about the Spectrum NAS, and other announcements that you have. What's goin' on? What are the big news? What's happening? >> Well, I think that, yeah, the big thing for us has been all about software. As you know, for the analysts that track the numbers, we are, and ended up in 2017, as tied as the number one storage software company in the world, independent of our system's business. So, one of the key powers there is that our software works with everyone's gear, whether it be a white box through a distributor or reseller, whether it be our direct competitors. Spectrum Protect, which is a, one of the best enterprise backup packages. We backup everybody's gear, our gear, NetApp's gear, HP's gear, Pure's gear, Hitachi's gear, the old Dell stuff, it doesn't matter to us, we backup everything. So, one of the powers that IBM has, from a software perspective, is always being able to support not only our own gear, but supporting all of our competitors as well. And the whole white box market, with things that our partners may put together through the distributors. >> I know somethin' might be obvious to you, but just take me through the benefits to the customer. What's the impact to the customer? Obviously, supporting everything, it sounds like you guys have done that with software, so you're agnostic on hardware. >> Right. >> So, is it a single pane of glass? What's the benefit to the customer with that software capability? >> Yeah, I feel there's a couple things. So, first of all, the same software that we sell as standalone software, we also sell on our arrays. So if you're in a hybrid configuration, and you're using our Flashsystem V9000 in our Storwize family, that software also works with an EMC, or NetApp box. So, one license, one way to do everything, one set of training, which in a small shop is not that important, but in a big shop, you don't have to manage three licenses, right? You don't have to get trained up on three different ways to do things, and you don't have to, by the way, document, which all the big companies would do. So it dramatically simplifies their life from an opex perspective. Makes it easier for them to run their business. >> Eric, we'd love to get your opinion on just how's Cisco doin' out there? It's a big sprawling company. I looked at the opening keynote, the large infrastructure business doing very well in the data center, but they've got collaboration, they do video, they're moving out in the cloud. Wanna see your thoughts as to how are they doing, and still making sure they take care of core networking, while still expanding and going through their own transformation, that they're talkin' very public about. How do we measure Cisco as a software company? >> Well, we see some very good signs there. I mean, we partner with 'em all the time, as I mentioned, for example, in both the security group and our collaboration group, and I'm not talkin' storage now, just IBM in general, we leverage software from them, and they leverage software from us. We deliver joint solutions through our partners, or through each of the two service organizations, but we also have products where we incorporate their software into ours, and they incorporate software in us. So, from our perspective, we've already been doing it beyond their level, now, of expanding into a much greater software play. For us, it's been a strong play for us already because of the joint work we've been doing now for several years on software that they've been selling in the more traditional world, and now pushing out into the broader areas, like cloud, for example. >> Awesome work. Eric, thanks for coming on. I gotta ask you one final, personal, question. >> Sure. >> You got the white shirt on, you usually have a Hawaiian shirt on. >> Well, because Chuck Robbins came by the booth, as we talked about earlier today, felt that I shouldn't have my IBM Hawaiian shirt on, however, now that I've met Chuck, next time, at next Cisco Live, I'll have my IBM Hawaiian shirt on versus my IBM traditional shirt. >> Chuck's a cool guy. Thanks for comin' on. As always, great commentary. You know your stuff. >> Great, thank you. >> Great to have the slicing and dicing, the IBM storage situation, as well as the overall industry landscape. At Cisco Live, we're breakin' it down, here on theCUBE in Orlando. Second day of three days of coverage. I'm John Furrier, Stu Miniman, stay with us for more live coverage after this break.
SUMMARY :
Brought to you by Cisco, NetApp, and Vice President Global Channel Sales for IBM Storage. news is that the CEO of Cisco swung by your booth? and gave him a little plug about the VersaStack, and put the stake in the ground, pretty firmly, And said, "That's the old way," What's the connection? all of our solutions on the storage side, many of the times with you around, So first of all, the storage itself is easily scalable. in the enterprise for years, clouds there. and the fact that we have all these Cisco Validated Designs So, Eric, you talked a bunch about VersaStack, One of the biggest changes I've seen including the ability to go out to a cloud, it's really the first step for customers. and all of our arrays that go into a VersaStack, Yeah, Eric Herzog's flying over to Dockercon, What is the NVMe leadership plan for you, on the fabric side going out to the switching and see what happens. and other announcements that you have. So, one of the powers that IBM has, What's the impact to the customer? So, first of all, the same software I looked at the opening keynote, and now pushing out into the broader areas, I gotta ask you one final, personal, question. You got the white shirt on, Well, because Chuck Robbins came by the booth, You know your stuff. the IBM storage situation,
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Prakash Nanduri, Paxata | Corinium Chief Analytics Officer Spring 2018
(techno music) >> Announcer: From the Corinium Chief Analytics Officer Conference Spring San Francisco. It's theCUBE. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in downtown San Francisco at the Parc 55 Hotel at the Corinium Chief Analytics Officer Spring 2018 event, about 100 people, pretty intimate affair. A lot of practitioners here talking about the challenges of Big Data and the challenges of Analytics. We're really excited to have a very special Cube guest. I think he was the first guy to launch his company on theCUBE. It was Big Data New York City 2013. I remember it distinctly. It's Prakash Nanduri, the co-founder and CEO of Paxata. Great to see you. >> Great seeing you. Thank you for having me back. >> Absolutely. You know we got so much mileage out of that clip. We put it on all of our promotional materials. You going to launch your company? Launch your company on theCUBE. >> You know it seems just like yesterday but it's been a long ride and it's been a fantastic ride. >> So give us just a quick general update on the company, where you guys are now, how things are going. >> Things are going fantastic. We continue to grow. If you recall, when we launched, we launched the whole notion of democratization of information in the enterprise with self service data prep. We have gone onto now delivered real value to some of the largest brands in the world. We're very proud that 2017 was the year when massive amount of adoption of Paxata's adaptive information platform was taken across multiple industries, financial services, retail, CPG, high tech, in the OIT space. So, we just keep growing and it's the usual challenges of managing growth and managing, you know, the change in the company as you, as you grow from being a small start-up to know being a real company. >> Right, right. There's good problems and bad problems. Those are the good problems. >> Yes, yes. >> So, you know, we do so many shows and there's two big themes over and over and over like digital transformation which gets way over used and then innovation and how do you find a culture of innovation. In doing literally thousands of these interviews, to me it seems pretty simple. It is about democratization. If you give more people the data, more people the tools to work with the data, and more people the power to do something once they find something in the data, and open that up to a broader set of people, they're going to find innovations, simply the fact of doing it. But the reality is those three simple steps aren't necessarily very easy to execute. >> You're spot on, you're spot on. I like to say that when we talk about digital transformation the real focus should be on the deed . And it really centers around data and it centers around the whole notion of democratization, right? The challenge always in large enterprises is democratization without governance becomes chaos. And we always need to focus on democratization. We need to focus on data because as we all know data is the new oil, all of that, and governance becomes a critical piece too. But as you recall, when we launched Paxata, the entire vision from day one has been while the entire focus around digitization covers many things right? It covers people processes. It covers applications. It's a very large topic, the whole digital transformation of enterprise. But the core foundation to digital transformation, data democratization governance, but the key issue is the companies that are going to succeed are the companies that turn data into information that's relevant for every digital transformation effort. >> Right, right. >> Because if you do not turn raw data into information, you're just dealing with raw data which is not useful >> Jeff: Right >> And it will not be democratized. >> Jeff: Right >> Because the business will only consume the information that is contextual to their need, the information that's complete and the information that is clean. >> Right, right. >> So that's really what we're driving towards. >> And that's interesting 'cause the data, there's so many more sources of data, right? There's data that you control. There's structured data, unstructured data. You know, I used to joke, just the first question when you'd ask people "Where's your data?", half the time they couldn't even, they couldn't even get beyond that step. And that's before you start talking about cleaning it and making it ready and making it available. Before you even start to get into governance and rights and access so it's a really complicated puzzle to solve on the backend. >> I think it starts with first focusing on what are the business outcomes we are driving with digital transformation. When you double-click on digital transformation and then you start focusing on data and information, there's a few things that come to fore. First of all, how do I leverage information to improve productivity in my company? There's multiple areas, whether it is marketing or supply chain or whatever. The second notion is how do I ensure that I can actually transform the culture in my company and attract the brightest and the best by giving them the the environment where democratization of information is actually reality, where people feel like they're empowered to access data and turn it into information and then be able to do really interesting things. Because people are not interested on being subservient to somebody who gives them the data. They want to be saying "Give it to me. "I'm smart enough. "I know analytics. "I think analytically and I want to drive my career forward." So the second thing is the cultural aspect to it. And the last thing, which is really important is every company, regardless of whether you're making toothpicks or turbines, you are looking to monetize data. So it's about productivity. It's about cultural change and attracting of talent. And it's about monetization. And when it comes to monetization of data, you cannot be satisfied with only covering enterprise data which is sitting in my enterprise systems. You have to be able to focus on, oh, how can I leverage the IOT data that's being generated from my products or widgets. How can I generate social immobile? How can I consume that? How can I bring all of this together and get the most complete insight that I need for my decision-making process? >> Right. So, I'm just curious, how do you see it your customers? So this is the chief analytics officer, we go to chief data officer, I mean, there's all these chief something officers that want to get involved in data and marketing is much more involved with it. Forget about manufacturing. So when you see successful cultural change, what drives that? Who are the people that are successful and what is the secret to driving the cultural change that we are going to be data-driven, we are going to give you the tools, we are going to make the investment to turn data which historically was even arguably a liability 'cause it had to buy a bunch o' servers to stick it on, into that now being an asset that drives actionable outcomes? >> You know, recently I was having this exact discussion with the CEO of one of the largest financial institutions in the world. This gentleman is running a very large financial services firm, is dealing with all the potential disruption where they're seeing completely new type of PINTEC products coming in, the whole notion of blockchain et cetera coming in. Everything is changing. Everything looks very dramatic. And what we started talking about is the first thing as the CEO that we always focus on is do we have the right people? And do we have the people that are motivated and driven to basically go and disrupt and change? For those people, you need to be able to give them the right kind of tools, the right kind of environment to empower them. This doesn't start with lip service. It doesn't start about us saying "We're going to be on a digital transformation journey" but at the same time, your data is completely in silos. It's locked up. There is 15,000 checks and balances before I can even access a simple piece of data and third, even when I get access to it, it's too little, too late or it's garbage in, garbage out. And that's not the culture. So first, it needs to be CEO drive, top down. We are going to go through digital transformation which means we are going to go through a democratization effort which means we are going to look at data and information as an asset and that means we are not only going to be able to harness these assets, but we're also going to monetize these assets. How are we going to do it? It depends very much on the business you're in, the vertical industry you play in, and your strengths and weaknesses. So each company has to look at it from their perspective. There's no one size fits all for everyone. >> Jeff: Right. >> There are some companies that have fantastic cultures of empowerment and openness but they may not have the right innovation or the right kind of product innovation skills in place. So it's about looking at data across the board. First from your culture and your empowerment, second about democratization of information which is where a company like Paxata comes in, and third, along with democratization, you have to focus on governance because we are for-profit companies. We have a fiducial responsibility to our customers and our regulators and therefore we cannot have democratization without governance. >> Right, right >> And that's really what our biggest differentiation is. >> And then what about just in terms of the political play inside the company. You know, on one hand, used to be if you held the information, you had the power. And now that's changed really 'cause there's so much information. It's really, if you are the conduit of information to help people make better decisions, that's actually a better position to be. But I'm sure there's got to be some conflicts going through digital transformation where I, you know, I was the keeper of the kingdom and now you want to open that up. Conversely, it must just be transformational for the people on the front lines that finally get the data that they've been looking for to run the analysis that they want to rather than waiting for the weekly reports to come down from on high. >> You bet. You know what I like to say is that if you've been in a company for 10, 15 years and if you felt like a particular aspect, purely selfishly, you felt a particular aspect was job security, that is exactly what's going to likely make you lose your job today. What you thought 10 years ago was your job security, that's exactly what's going to make you lose your job today. So if you do not disrupt yourself, somebody else will. So it's either transform yourself or not. Now this whole notion of politics and you know, struggle within the company, it's been there for as long as, humans generally go towards entropy. So, if you have three humans, you have all sort of issues. >> Jeff: Right, right. >> The issue starts frankly with leadership. It starts with the CEO coming down and not only putting an edict down on how things will be done but actually walking the walk with talking the talk. If, as a CEO, you're not transparent, it you're not trusting your people, if you're not sharing information which could be confidential, but you mention that it's confidential but you have to keep this confidential. If you trust your people, you give them the ability to, I think it's a culture change thing. And the second thing is incentivisation. You have to be able to focus on giving people the ability to say "by sharing my data, "I actually become a hero." >> Right, right. >> By giving them the actual credit for actually delivering the data to achieve an outcome. And that takes a lot of work. But if you do not actually drive the cultural change, you will not drive the digital transformation and you will not drive the democratization of information. >> And have you seen people try to do it without making the commitment? Have you seen 'em pay the lip service, spend a few bucks, start a project but then ultimately they, they hamstring themselves 'cause they're not actually behind it? >> Look, I mean, there's many instances where companies start on digital transformation or they start jumping into cool terms like AI or machine-learning, and there's a small group of people who are kind of the elites that go in and do this. And they're given all the kind of attention et cetera. Two things happen. Because these people who are quote, unquote, the elite team, either they are smart but they're not able to scale across the organization or many times, they're so good, they leave. So that transformation doesn't really get democratized. So it is really important from day one to start a culture where you're not going to have a small group of exclusive data scientists. You can have those people but you need to have a broader democratization focus. So what I have seen is many of the siloed, small, tight, mini science projects end up failing. They fail because number one, either the business outcome is not clearly identified early on or two, it's not scalable across the enterprise. >> Jeff: Right. >> And a majority of these exercises fail because the whole information foundation that is taking raw data turning it into clean, complete, potential consumable information, to feed across the organization, not just for one siloed group, not just one data science team. But how do you do that across the company? That's what you need to think from day one. When you do these siloed things, these departmental things, a lot of times they can fail. Now, it's important to say "I will start with a couple of test cases" >> Jeff: Right, right. >> "But I'm going to expand it across "from the beginning to think through that." >> So I'm just curious, your perspective, is there some departments that are the ripest for being that leading edge of the digital transformation in terms of, they've got the data, they've got the right attitude, they're just a short step away. Where have you seen the great place to succeed when you're starting on kind of a smaller PLC, I don't know if you'd say PLC, project or department level? >> So, it's funny but you will hear this, it's not rocket science. Always they say, follow the money. So, in a business, there are three incentives, making more money, saving money, or staying out of jail. (laughs) >> Those are good. I don't know if I'd put them in that order but >> Exactly, and you know what? Depending on who are you are, you may have a different order but staying out of jail if pretty high on my list. >> Jeff: I'm with you on that one. >> So, what are the ambiants? Risk and compliance. Right? >> Jeff: Right, right. >> That's one of those things where you absolutely have to deliver. You absolutely have to do it. It's significantly high cost. It's very data and analytic centric and if you find a smart way to do it, you can dramatically reduce your cost. You can significantly increase your quality and you can significantly increase the volume of your insights and your reporting, thereby achieving all the risk and compliance requirements but doing it in a smarter way and a less expensive way. >> Right. >> That's where incentives have really been high. Second, in making money, it always comes down to sales and marketing and customer success. Those are the three things, sales, marketing, and customer success. So most of our customers who have been widely successful, are the ones who have basically been able to go and say "You know what? "It used to take us eight months "to be able to even figure out a customer list "for a particular region. "Now it takes us two days because of Paxata "and because of the data prep capabilities "and the governance aspects." That's the power that you can deliver today. And when you see one person who's a line of business person who says "Oh my God. "What used to take me eight months, "now it's done in half a day". Or "What use to take me 22 days to create a report, "is now done in 45 minutes." All of a sudden, you will not have a small kind of trickle down, you will have a tsunami of democratization with governance. That's what we've seen in our customers. >> Right, right. I love it. And this is just so classic too. I always like to joke, you know, back in the day, you would run your business based on reports from old data. Now we want to run your business with stuff you can actually take action on now. >> Exactly. I mean, this is public, Shameek Kundu, the chief data officer of Standard Chartered Bank and Michael Gorriz who's the global CIO of Standard Chartered Bank, they have embraced the notion that information democratization in the bank is a foundational element to the digital transformation of Standard Chartered. They are very forward thinking and they're looking at how do I democratize information for all our 87,500 employees while we maintain governance? And another major thing that they are looking at is they know that the data that they need to manipulate and turn into information is not sitting only on premise. >> Right, right. >> It's sitting across a multi-cloud world and that's why they've embraced the Paxata information platform to be their information fabric for a multi-cloud hybrid world. And this is where we see successes and we're seeing more and more of this, because it starts with the people. It starts with the line of business outcomes and then it starts with looking at it from scale. >> Alright, Prakash, well always great to catch up and enjoy really watching the success of the company grow since you launched it many moons ago in New York City >> yes Fantastic. Always a pleasure to come back here. Thank you so much. >> Alright. Thank you. He's Prakash, I'm Jeff Frick. You're watching theCUBE from downtown San Francisco. Thanks for watching. (techno music)
SUMMARY :
Announcer: From the Corinium and the challenges of Analytics. Thank you for having me back. You going to launch your company? You know it seems just like yesterday where you guys are now, how things are going. of information in the enterprise Those are the good problems. and more people the power to do something and it centers around the whole notion of and the information that is clean. And that's before you start talking about cleaning it So the second thing is the cultural aspect to it. we are going to give you the tools, the vertical industry you play in, So it's about looking at data across the board. And that's really and now you want to open that up. and if you felt like a particular aspect, the ability to say "by sharing my data, and you will not drive the democratization of information. but you need to have a broader democratization focus. That's what you need to think from day one. "from the beginning to think through that." Where have you seen the great place to succeed So, it's funny but you will hear this, I don't know if I'd put them in that order but Exactly, and you know what? Risk and compliance. and if you find a smart way to do it, That's the power that you can deliver today. I always like to joke, you know, back in the day, is a foundational element to the digital transformation the Paxata information platform Thank you so much. Thank you.
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Matt Johnson, Cisco DevNet | DevNet Create 2018
>> Announcer: Live from the Computer History Museum in Mountain View, California, it's theCUBE, covering DevNet Create 2018. Brought to you by Cisco. (jingle) >> Hi, welcome back to theCUBE. My name is Lauren Cooney, and I'm here today with Matt Johnson who is a technologist at Cisco, with Cisco DevNet. Hi Matt. >> Hi, how's it going? Good to see you again. >> Pretty good. Good to see you again too. So what's going on here? What's going on with the show and what are you working on? >> Oh, sure. So the show in general is just this ability for us, you know, Cisco DevNet have always had quite a large and a growing presence at Cisco Live, kind of Cisco's, Europe and US yearly conferences. But this is the second year we've done Create, and it's really an opportunity to kind of take the real developer angle, the makers, the API integrators, kind of the real, kind of developer ecosystem that's going around Cisco's products and our APIs, and just kind of focus on that audience. So, you know, all the content here is developer for developer. And so it's just really nice to be able to experiment in a bit more of an open format. >> Yeah, exactly. So it's kind of that DIY environment of developers that are coming in and really doing all this stuff and starting to innovate on their own. >> Yeah, absolutely. And what I'm really excited about here we have the, we had kind of a two-day hackathon running at the same time as the event, and so, instead of that just being a little bit of time spent between sessions, these are teams that have already kind of been working behind the scenes on the run-up to the event, so they've already kind of met each other virtually through collaboration, they've already worked out what kind of problem space they want to solve, they've already started working on kind of sample and PLC code, so the idea that at the end of a two-day conference we could actually see some working solutions to real problems that our partners and our customer ecosystem is seeing, I think that's quite-- >> That's great. >> An exciting idea. >> Yeah, Mandy Whalen was just on with us. >> Oh, fantastic. >> And she actually talked a little bit about that, and you know, so these guys will be up for 24 hours hacking on stuff. Hopefully we'll see some great solutions come the end and you know, we'll talk about it here on theCUBE. >> Yeah. >> So tell me about what you're doing today at Cisco DevNet. >> Sure, so from one style of hacking to another, we are actually running this demo called the Black Hat White Hat Challenge. And I went to, I've always been a bit of a kind of hobbyist pentester. >> Lauren: Never, no. >> I liked breaking things from a young age. And I got to attend my first Defcon in Las Vegas last year, and coming from an evangelism background, coming from kind of doing workshops and talks and demos, I was absolutely amazed at the interactivity of pretty much everything that goes on at the black hat hacking conference, sorry the Defcon hacking conference. My apologies. They have, you know, hands-on IoT villages where you can go and try hacking against all the hardware, there is kind of labs and tutorials for people that are maybe just getting into kind of that side of hacking and penetration testing. So I kind of brought that back and I've always had a passion for security, and IoT nowadays, we are in a situation where a lot of these devices we are starting to bring into our homes and our businesses and things, are built to a budget. They are built cheap, they're not security devices. People aren't thinking of security, they're thinking of functionality when they're building those, so someone that makes fridge freezers isn't going to be thinking about the 10 year security roadmap for that fridge freezer. They're going to be thinking about selling the latest smart freezer. >> Lauren: Exactly. >> And so I wanted to kind of bring some of that hands-on Defcon-style hacking into a real-world scenario. So at security conferences and at developer conferences, we always talk about things being insecure, and we talk about needing to think about security. But what we have is a booth here where we actually take off-the-shelf IoT devices, and in a curated path we are getting attendees with no background in kind of pen testing to use real-world hacking tools and real exploits against those devices, to build their access into that network and eventually get to the goal, which is getting into an electrical safe with like a price inside. And all of that is real off-the-shelf IoT. It's real security. And the aim of that is to kind of-- >> So they are actually cracking the safe. >> They are cracking the safe, they are cracking into Wi-Fi. They're getting onto the guest Wi-Fi and then finding a vulnerability in the router which gets them onto the wired network, so that'd be like a guest network in a corporate environment or a guest network in a hotel, getting you onto the hotel's infrastructure network and then to a camera. >> So this is like straight up hacker one. >> Straight up, yeah, exactly, right? Which is perfect. >> Lauren: This is great. >> Yeah, exactly. So that's what we're doing and the idea is to just to kind of stop talking about it and start showing. This is not stuff you need to be super good at. This is stuff you can Google. The tools are out there, the tools are getting more and more easy to use. And also vulnerabilities are becoming more and more common because of the growth of IoT. There were double the number of CVE, like known vulnerabilities in the wild in 2017 than there were in 2016. >> Okay. >> And that's because of this constant pace of new devices. So we're kind of showing that these are really crackable by anyone with a bit of time and research. And then also showing kind of what can be done about that. And, you know, even without kind of the proactive and firewalls and things like that, just getting a developer audience thinking about this stuff, getting them, you know, fresh in their mind, you know, these are the kind of places we should be focusing on IoT security because it's these developers that will be writing code and those products today-- >> I think that's great. And I think security is so important today with everything going on, and then there's Facebook and testimonies that are happening today, and you know, lots of different things. Now, what are you using to actually kind of fill these holes, fill these kind of security vulnerabilities that you're using with these off-the-shelf IoT devices? >> Sure, so what we are showing is how kind of, if you know if you have these devices on your network, obviously layering things like Cisco's net-gen firewalls in line with those devices, has signatures that will detect. It's not going to patch the device itself, 'cause that might be from another vendor or an IoT camera or a light switch or something, but it's going to detect the malicious traffic trying to attack that device and drop it. So you're kind of protecting your perimeter, you're stopping a vulnerable device becoming an actual hack. Alternatively from a personal perspective, as we start looking at how we consume hardware in our homes and businesses, I actually really like kind of the Meraki model and the Nest Cam model, and you know, all the other camera vendors which charge you with subscription, 'cause if you buy hardware one-off, you have no idea whether that price for that hardware allotted budget for the development team to keep thinking about security or whether that team doesn't exist anymore and they're off building their next product. >> Lauren: Yup. >> Whereas if you're buying something on kind of a subscription basis, even though the hardware is in your home, you know that their profit is based on them keeping your product up-to-date. >> Lauren: Definitely. >> So you expect, you know, real-time updates, you expect timely security updates. And so I think that kind of a software as a service style delivery of on-prem hardware is definitely a more secure approach. >> Yeah, and the Meraki model is definitely moving forward as one of the prevalent models that we, you know, Cisco has. >> Exactly. Yeah. >> And it's, you know, that plug and play, easy-to-use, get it up and running, et cetera. >> Exactly, and then on the back of that you know that there's people working on those security things, which isn't something that you think about when you buy it for its APIs and its plug-and-play in its ease-of-use, but just knowing that that is there and, you know, you're paying for that development, is a good thing. >> Where do you see most of these vulnerabilities, and I know you have a lot of background in cloud computing and you know, in these arenas, but where do you see most of these vulnerabilities? >> Matt: So-- >> It's a big question. >> Yeah. I mean a lot of the, hackers are going to wherever, you know, is easiest for the amount of time and effort. Certainly when we see kind of malicious actors kind of looking for a large footprints, large, building botnets et cetera. There could be a very, very clever attack that requires a lot of time and effort, or there could be an IoT device that you know there's going to be 4 million of them sold online, they're going to go for those. And like I said, these devices are low-power, built to a budget. You can get them into your hands and like SaaS service online. So people can take them apart, they can have a look at the code inside of them. They can have a look at the operating system. So it's quite easy to find vulnerabilities on these IOT devices. >> Lauren: Oh yeah. >> So that is definitely a growing area. Also the level for harm on those kind of vulnerabilities, if we are talking about Internet-connected healthcare, Internet-connected hospital equipment, you know, control valves for factories that may or may not be dealing with certain kind of materials. That is definitely a focus both from a security industry perspective, and also kind of where we are seeing hackers targeting. >> That's great. So tell me a little bit about what else you're working on right now. I think, I always find it interesting to hear from you what you're kind of hacking with and-- >> Yeah, sure. So that's my, that's my kind of security hobby-cum-part time role I guess within DevNet. >> Lauren: Love it. >> I quite like that kind of hands-on security evangelism. A lot of other stuff I'm doing is all around kind of open source and micro services and containers. So we're doing lots of work internally with Kubernetes Right now. Proof of concepting, some new user space networking code. >> Lauren: Oh great. >> Which would allow basically the network your traffic takes from your application in the container, write out to the network card, to be a user space app. So, you know, you're not stuck with the networking that a cloud provider gives you. If you want to test your application fully like packet to app back to the wire, and know that that network is also going to go with you when you deploy anywhere, we're going to be able to do that. >> That's fabulous. >> And there's also some real performance benefits to kind of not going in and out of the Linux kernel, so we can kind of saturate 40 gigabits a second from a container, straight down to the wire on kind of commodity compute like UCS what like any x86 service. So really excited about that. It's in development at the moment. That's all open source. >> Lauren: It will be all open source. >> It's all open source already under the FD.io project, FD dot io. >> Oh. >> The integration into Kubernetes is ongoing. And obviously will be open sourced as it gets developed. But that's super exciting. Also just the whole Merakifi, Merakification if I can say that. This idea of turning on-prem devices into kind of black box, you know, cloud managed, cloud updated. You have an IT team. They're just remote and kind of paid for in a SaaS model rather than having to manage and patch those devices on-prem. >> Lauren: Oh yeah. >> You know, we currently do that with switches and routers and cameras as I'm sure you know that the Meraki product portfolio, I don't see why we don't do that with on-prem compute. Why don't we do that with on-prem, you know, Kubernetes clusters. Why should a Kubernetes cluster, just because it sat in your data center, be any different in terms of usability, billing, management, than the one you get from Google Cloud platform or Azure or AWS? It should have the same user experience. So across those two areas, yeah, that's where I'm spending most of my time at the moment. >> Great, well, we're kind of wrapping up here. Tell me, what is the most exciting thing for you that's coming down the path in the next six months or so? >> Um. >> Can you tell us? >> I cannot tell you the most exciting thing, I'm afraid. It has to do with everything I'm talking about, kind of the networking, the as a service, super excited about user space networking. We have customers that looking to do kind of real-time video pipelines for a broadcast in containers. And being able to do that on-prem or in cloud or wherever, and this FD.io VPP technology, I think will really unlock that. >> Lauren: That's great. >> So real use cases, and yeah, super excited. >> Great. Matt, thank you so much for coming on today. >> It's been pleasure. >> Yeah, my pleasure as well. This is Lauren Clooney and we'll be right back from the show here at Cisco DevNet Create. (jingle)
SUMMARY :
Brought to you by Cisco. and I'm here today with Matt Johnson Good to see you again. Good to see you again too. and just kind of focus on that audience. So it's kind of that DIY environment of developers and PLC code, so the idea and you know, so these guys will be up kind of hobbyist pentester. So I kind of brought that back in kind of pen testing to use real-world hacking tools and then to a camera. Which is perfect. and more common because of the growth of IoT. fresh in their mind, you know, and you know, lots of different things. and you know, all the other camera vendors kind of a subscription basis, So you expect, you know, Yeah, and the Meraki model is definitely moving Yeah. And it's, you know, that plug and play, of that you know that there's people working that you know there's going to be 4 million and also kind of where we are seeing hackers targeting. to hear from you what you're kind of hacking with and-- So that's my, kind of open source and micro services and containers. going to go with you when you deploy anywhere, kind of not going in and out of the Linux kernel, It's all open source already under the FD.io project, you know, cloud managed, cloud updated. and routers and cameras as I'm sure you know Tell me, what is the most exciting thing for you kind of the networking, Matt, thank you so much for coming on today. from the show here at Cisco DevNet Create.
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Sam Werner & Steve Kenniston | IBM Think 2018
>> Narrator: From Las Vegas, it's The Cube. Covering IBM Think 2018. Brought to you by IBM. >> Welcome back to IBM Think, everybody. My name's Dave Vallante, I'm here with Peter Burris. You're watching The Cube, the leader in live tech coverage. This is our day three. We're wrapping up wall to wall coverage of IBM's inaugural Think Conference. Thirty or forty thousand people, too many people to count, I've been joking all week. Sam Werner is here, he's the VP of Offering Management for Software Defined Storage, Sam, good to see you again. And Steve Kenniston is joining him otherwise known as the storage alchemist. Steven, great to see you again. >> Steven: Thanks, Dave. >> Dave: Alright, Sam. Let's get right into it. >> Sam: Alright. >> Dave: What is the state of data protection today and what's IBM's point of view? >> Sam: Well, I think anybody who's been following the conference and saw Jenny's key note, which was fantastic, I think you walked away knowing how important data is in the future, right? The way you get a competitive edge is to unlock insights from data. So if data's so important you got to be able to protect that data, but you're forced to protect all this data. It's very expensive to back up all this data. You have to do it. You got to keep it safe. How can you actually use that back-up data to, you know, perform analytics and gain some insights of that data that's sitting still behind the scenes. So that's what it's really all about. It's about making sure your data's safe, you're not going to lose it, that big big competitive advantage you have and that data, this is the year of the incumbent because the incumbent can start unlocking valuable data, so - >> Dave: So, Steve, we've talked about this many times. We've talked about the state of data protection, the challenges of sort of bolting on data protection as an afterthought. The sort of one size fits all problem, where you're either under protected or spending too much and being over protected, so have we solved that problem? You know, what is next generation data protection? What does it look like? >> [Steve} Yeah, I think that's a great Question, Dave. I think what you end up seeing a lot of... (audio cuts out) We talk at IBM about the modernize and transform, a lot. Right? And what I've started to try to do is boil it down almost at a product level. WhY - or at least an industry level - why modernize your data protection environment, right? Well if you look at a lot of the new technologies that are out there, costs have come way down, right? Performance is way up. And by performance around data protection we talk RPO's and RTO's. Management has become a lot simpler, a lot of design thinking put in the interfaces, making the Op Ec's job a lot easier around protecting information. A lot of the newer technologies are connected to the cloud, right? A lot simpler. And then you also have the ability to do what Sam just mentioned, which is unlock, now unlock that business value, right? How do I take the data that I'm protecting, and we talk a lot about data reuse and how do I use that data for multiple business purposes. And kind of unhinge the IT organization from being the people that stumble in trying to provide that data out there to the line of business but actually automate that a little bit more with some of the new solutions. So, that's what it means to me for a next generation protection environment. >> Dave: So it used to be this sort of, okay, I got an application, I got to install it on a server - we were talking about this earlier - get a database, put some middleware on - uh! Oh, yeah! I got to back it up. And then you had sort of these silos emerge. Virtualization came in, that obviously change the whole back up paradigm. Now you've got the cloud. What do you guys, what's your point of view on Cloud, everybody's going after this multi-cloud thing, protecting SAS data on prem, hybrid, off-prem, what are you guys doing there? >> Sam: So, uh, and I believe you spoke to Ed Walsh earlier this we very much believe in the multi-cloud strategy. We are very excited on Monday to go live with a Spectrum Protect Plus on IBM's cloud, so it's now available to back up workloads on IBM Cloud. And what's even more exciting about it is if you're running Spectrum Protect Plus on premises, you can actually replicate that data to the version running in the IBM cloud. So now you have the ability not only to back up your data to IBM cloud, back up your data IN IBM cloud where you're running applications there, but also be able to migrate work loads back and forth using this capability. And our plan is to continue to expand that to other clouds following our multi-cloud strategy. >> Dave: What's the plus? >> Sam: Laughs >> Dave: Why the plus? >> Kevin: That's the magic thing, they can't tell you. >> Group: (laughing) >> Dave: It's like AI, it's a black box. >> Sam: Well, I will answer that question seriously, though. IBM's been a leader in data protection for many years. We've been in the Gardeners Leaders Quadrant for 11 years straight with Spectrum Protect, and Spectrum Protect Plus is and extension of that, bringing this new modern approach to back up so it extends the value of our core capability, which you know, enterprises all over the world are using today to keep their data safe. So it's what we do so well, plus more! (laughing) >> Dave: Plus more! - [Sam] Plus more. >> Dave: So, Steve, I wonder if you could talk about the heat in the data protection space, we were at VM World last year, I mean, it was, that was all the buzz. I mean, it was probably the most trafficked booth area, you see tons of VC money that have poured in several years ago that's starting to take shape. It seems like some of these upstarts are taking share, growing, you know, a lot of money in, big valuations, um, what are your thoughts on What's that trend? What's happening there? How do you guys compete with these upstarts? >> Steve: Yeah, so I think that is another really good question. So I think even Ed talks a little bit about a third of the technology money in 2017 went to data protection, so there's a lot of money being poured in. There's a lot of interest, a lot of renewed interest in it. I think what you're seeing, because it cut - it's now from that next generation topic we just talked about, it's now evolving. And that evolution is it's not, it's no longer just about back up. It's about data reuse, data access, and the ability to extract value from that data. Now all of a sudden, if you're doing data protection right, you're backing up a hundred percent of your data. So somewhere in the repository, all my data is sitting. Now, what are the tools I can use to extract the value of that data. So there used to be a lot of different point products, and now what folks are saying is, well now, look, I'm already backing it up and putting it in this data silo, so to speak. How do I get the value out of it? And so, what we've done with Plus, and why we've kind of leap frogged ourselves here with - from going from Protect to Protect Plus, is to be able to now take that repository - what we're seeing from customers is there's a definitely a need for back up, but now we're seeing customers lead with this operational recovery. I want operational recovery and I want data access. So now, what Spectrum Protect Plus does is provides that access. We can do automation, we can provide self service, it's all rest API driven, and then what we still do is we can off load that data to Spectrum Protect, our great product, and then what ends up happening is the long term retention capabilities about corporate compliance or corporate governance, I have that, I'm protecting my business, I feel safe, but now I'm actually getting a lot more value out of that silo of data now. >> Peter: Well, one of the challenges, especially as we start moving into an AI analytics world, is that it's becoming increasingly clear that backing up the data, a hundred percent of the data, may not be capturing all of the value because we're increasingly creating new models, new relationships amongst data that aren't necessarily defined by an application. They're transient, then temporal, they're, they come up they come down, how does a protection plane handle, not only, you know, the data that's known, from sources that are known, but also identifying patterns of how data relationships are being created, staging it to the appropriate place, it seems as though this is going to become an increasingly important feature of any protection scheme? >> Steve: I think, I think a lot - you bring up a good topic here - I think a lot of the new protection solutions that are all rest API driven now have the capability to actually reach out to these other API's, and of course we have our whole Watson platform, our analytics platform that can now analyze that information, but the core part, and the reason why I think - back to your previous question about this investment in some of these newer technologies, the legacy technologies didn't have the metadata plane, for example, the catalog. Of course you had a back up catalog , but did you have an intelligent back up catalog. With the Spectrum Protect Plus catalog, we now have all of this metadata information about the data that you're backing up. Now if I create a snapshot, or reuse situation where to your point being, I want to spin something back up, that catalog keeps track of it now. We have full knowledge of what's going. You might not have chosen to again back that new snap up, but we know it's out there. Now we can understand how people are using the data, what are they using the data for, what is the longevity of how we need to keep that data? Now all of a sudden there's a lot more intelligence in the back up and again to your earlier question, I think that's why there's this renewed interest in kind of the evolution. >> Dave: Well, they say at this point you really can't do that multi-cloud without that capability. I wanted to ask you about something else, because you basically put forth this scenario or premise that it's not just about back up, it's not just about insurance, my words, there's other value that you could extract. Um, I want to bring up ransomware. Everybody talks about air gaps - David Foyer brings that up a lot and then I watch, like certain shows like, I don't know if you saw the Zero Days documentary where they said, you know, we laugh at air gaps, like, oh! Really? Yeah, we get through air gaps, no problem. You know, I'm sure they put physical humans in and they're going to infect. So, so there's - the point I'm getting to is there's other ways to protect against ransomware, and part of that is analytics around the data and all the data's - in theory anyway - in the backup store. So, what's going on with ransomware, how are you guys approaching that problem, where do analytics fit? You know, a big chewy question, but, have at it. >> Sam: Yeah, no I'm actually very glad you asked that question. We just actually released a new version of our core Spectrum Protect product and we actually introduced ransomware detection. So if you think about it, we bring in all of your data constantly, we do change block updates, so every time you change files it updates our database, and we can actually detect things that have changed in the pattern. So for example, if you're D-Dup rate starts going down, we can't D-Dup data that's encrypted. So if all of a sudden the rate of D-Duplication starts going down that would indicate the data's starting to be encrypted, and we'll actually alert the user that something's happening. Another example would be, all the sudden a significant amount of changes start happening to a data set, much higher than the normal rate of change, we will alert a user. It doesn't have to be ransomware, it could be ransomware. It could be some other kind of malicious activity, it could be an employee doing something they shouldn't be - accessing data that's not supposed to be accessed. So we'll alert the users. So this kind of intelligence, uh, you know is what we'll continue to try to build in. IBM's the leader in analytics, and we're bringing those skills and applying it to all of our different software. >> Dave: Oh, okay. You're inspecting that corpus of backup data, looking for anomalus behavior, you're say you're bringing in IBM analytics and also presumably some security capabilities from IBM, is that right? >> Sam: That's right. Absolutely. We work very closely with our security team to ensure that all the solutions we provide tie in very well with the rest of our capabilities at IBM. One other thing though, I'll mention is our cloud object storage, getting a little bit away from our backup software for a second, but object storage is used often - >> Kevin: But it's exciting! >> Sam: It is exciting! It's one of my favorite parts of the portfolio. It's a place where a lot of people are storing backup and archive data and we recently introduced worm capability, which mean Write Once Read Many. So once it's been written it can't be changed. It's usually used for compliance purposes but it's also being used as an air gap capability. If the data can't be changed, then essentially it can't be you know encrypted or attacked by ransomware. And we have certification on this as well, so we're SEC compliant, we can be used in regulated industries, so as we're able to in our data protection software off load data into a object store, which we have the capability, you can actually give it this worm protection, so that you know your backup data is always safe and can always be recovered. We can still do this live detection, and we can also ensure your backup is safe. >> Dave: That's great. I'm glad to hear that, cause I feel like in the old days, that I asked you that question about ransomware, and well, we're working on that - and two years later you've come up with a solution. What's the vibe inside of IBM in the storage group? I mean it seems like there's this renewed energy, obviously growth helps, it's like winning, you know, brings in the fans, but, what's your take Steve? And I'll close with Sam. >> Steve: I would almost want to ask you the same question. You've been interviewing a lot of the folks from the storage division that have come up here today and talked to you. I mean you must hear the enthusiasm and the excitement. Right? >> Dave: Yeah, definitely. People are pumped up. >> Steve: And I've rejoined IBM, Sam has rejoined IBM, right? And I think what we're finding inside is there used to be a lot of this, eh yeah, we'll eventually get there. In other words, it's like you said, next year, next year. Next, next quarter. Next third quarter, right? And now its, how do we get it done? People are excited, they want to, they see all the changes going on, we've done a lot to - I don't want to say sort out the portfolio, I think the portfolio's always been good - but now there's like a clean crisp clear story around the portfolio, how they fit together, why they're supposed to - and people are rallying behind that. And we're seeing customer - we're voted by IDCE, number one in the storage software business this year. I think people are really getting behind, you want to work for a winning team, and we're winning and people are getting excited about it. >> Dave: Yeah, I think there's a sense of urgency, a little startup mojo, it's back. So, love that, but Sam I'll give you the last word, before we wrap. Just on Think? Just on the Market? >> Sam: I got to tell you, Think has been crazy. It's been a lot of fun so far. I got to tell you, I have never seen so much excitement around our storage portfolio from customers. These were the easiest customer discussions I've ever had at one of these conferences, so they're really excited about what they're doing and they're excited about the direction we're moving in. So, yeah. >> Dave: Guy, awesome seeing you. Thanks for coming back on The Cube, both of you, and, uh, really a pleasure. Alright. Thank you for watching. Uh, this is a wrap from IBM Think 2018. Guys, thanks for helping us close that up. Peter, thank you for helping - >> Peter: Absolutely. >> Dave: me co-host this week. John Furie was unbelievable with the pop up cube, really phenomenal job, John and the crew. Guys, great great job. Really appreciate you guys coming in from wherever you were Puerto Rico or the Bahamas, I can't keep track of you anymore. Go to siliconangle.com, check out all the news. TheCube.net is where all these videos will be and wikibon.com for all the research, which Peter's group has been doing great work there. We're out! We'll see you next time. (lively tech music)
SUMMARY :
Brought to you by IBM. Sam, good to see you again. of that data that's sitting still behind the scenes. We've talked about the state of data protection, have the ability to do what Sam just mentioned, what are you guys doing there? So now you have the ability capability, which you know, enterprises all over the Dave: Plus more! heat in the data protection space, we were at VM World How do I get the value out of it? Peter: Well, one of the challenges, especially as we are all rest API driven now have the capability to actually and part of that is analytics around the data and all the So if all of a sudden the rate of D-Duplication starts going of backup data, looking for anomalus behavior, you're say our security team to ensure that all the solutions we so that you know your backup data is always safe like in the old days, that I asked you that question about You've been interviewing a lot of the folks from the storage Dave: Yeah, definitely. I think people are really getting behind, you want to work you the last word, before we wrap. I got to tell you, I have never seen Thank you for watching. and the crew.
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Margot Gerritsen, Stanford University | WiDS 2018
>> Narrator: Alumni. (upbeat music) >> Announcer: Live from Stanford University in Palo Alto, California, it's theCUBE. Covering Women in Data Science Conference 2018. Brought to you by Stanford. >> Welcome back to theCUBE, we are live at Stanford University for the third annual Women in Data Science Conference, WiDS. I'm Lisa Martin, very honored to be joined by one of the co-founders of this incredible WiDS movement and phenomenon, Dr. Margot Gerritsen. Welcome to theCUBE! >> It's great to be here, thanks so much for being at our conference. >> Oh, likewise. You were the senior associate dean and director of the Institute for Computational Mathematics and Engineering at Stanford. >> Gerritsen: That's right, yep. >> Wow, that's a mouthful and I'm glad I could actually pronounce that. So you have been, well, I would love to give our audience a sense of the history of WiDS, which is very short. You've been on this incredible growth and scale trajectory. But you've been in this field of computational science for what, 30, over 30 years? >> Yeah, probably since I was 16, so that was 35 years ago. >> Yeah, and you were used to being one of few, or if not the only woman >> That's right. >> In a meeting, in a room. You were okay with that but you realized, you know what? There are probably women who are not comfortable with this and it's probably going to be a barrier. Tell us about the conception of WiDS that you and your co-founders had. >> So, May, 2015, Esteban from Walmart Labs, now at Facebook, and Karen Matthys, who's still very active, you know, one of the organizers of the conference, and I were having coffee at a cafe in Stanford and we were lamenting the fact that at another data science conference that we had been to had only had male speakers. And so we connected with the organizers and asked them why? Did you notice? Because very often people are not even aware, it's just such the norm to only have male speakers, >> Right, right. >> That people don't even notice. And so we asked why is that? And they said, "Well, you know we really tried to find "speakers but we couldn't find any." And that really was, for me, the last straw. I've been in so many of these situations and I thought, you know, we're going to show them. So we joke sometimes, a little bit, we say it's sort of a revenge conference. (laughs) We said, let's show them we can get some really outstanding women, and in fact only women. And that's how it started. Now we were sitting at this coffee shop and I said, "Let's do a conference." And they said, "Well, that would be great, next year." And I said, "No, this year. "Let's just do it. "Let's do it in November." We had six months to put it together. It was just a local conference here. We got outstanding speakers, which were really great. Mostly from the area. And then we started live-streaming because we thought it would be fun to do. And to our big surprise, we had 6,000 people on the livestream just without really advertising. That made us realize, in November 2015, my goodness, we're onto something. And we had such amazing responses. We wanted to then scale up the conference and then you can hire a fantastic conference center in San Francisco and get 10,000 people in like they do, for example, at Grace Hopper. But we thought, why not use online technology and scale it up virtually and make this a global event using the livestream, that we will then provide to people, and asking for regional events, local events to be set up all around the world. And we created this ambassador program, that is now in its second year. the first year the responses were actually overwhelming to us already then. We got 75 ambassadors who set up 75 events around the world >> In about 40 countries. >> This was last year, 2017? >> Yeah, almost exactly 13 months ago, and then this year now we have over 200 ambassadors. We have 177 events in 155 cities in 53 countries. >> That's incredible. >> So we're on every continent apart from Antarctica but we're working on that one. >> Martin: I was going to say, that's probably next year. >> Yeah, that's right. >> The scale, though, that you've achieved in such a short time period, I think, not only speaks to the power, like you said, of using technology and using live-streaming, but also, there is a massive demand. >> Gerritsen: There is a great need, yeah. >> For not only supporting, like from the perspective of the conference, you want to support and inspire and educate data scientists worldwide and support females in the field, but it really, I think, underscores, there is still in 2018, a massive need to start raising more profiles and not just inspiring undergrad females, but also reinvigorating those of us that have been in the STEM field and technology for a while. >> Gerritsen: That's right. >> So, what are some of the things, so, this year, not only are you reaching, hopefully about 100,000 people, you mentioned some of the countries involved today, but you also have a new first this year with the WiDS Datathon. >> That's right. >> Tell us about the WiDS Datathon, what was the idea behind it? You announced some winners today? >> Yeah. Yeah, so with WiDS last year, we really felt that we hit a nerve. Now there is an incredible need for women to see other women perform so well in this field. And, you know, that's why we do it, to inspire. But it's a one-time event, it's once a year. And we started to think about, what are some of the ways that we can make this movement, because it's really become a movement, into something more than just an annual, once-a-year conference? And so, Datathon is a fantastic way to do that. You can engage people for several months before the conference, and you can announce the winner at the conference. It is something that can be done really easily worldwide if it is supported again by the ambassadors, so the local WiDS organizations. So we thought we'd just try. But again, it's one of those things we say, "Oh, let's do it." We, I think, thought about this about six months ago. Finding a good data set is always a challenge but we found a wonderful data set, and we had a great response with 1100, almost 1200 people in the world participating. >> That's incredible. >> Several hundred teams. Yeah, and what we said at the time was, well, let's have the teams be 50% female at least, so that was the requirement, we have a lot of mixed teams. And ultimately, of course, that's what we want. We want 50-50, men-women, have them both at the table, to participate in data science activities, to do data science research, and answer a lot of these data questions that are now driving so many decisions. Now we want everybody around the table. So with this Datathon, it was just a very small event in the sense, and I'm sure next year it will be bigger, but it was a great success now. >> Well, congratulations on that. One of the things I saw you on a Youtube video talking about over the weekend when I was doing some prep was that you wanted this Datathon to be fun, creative, and I think those are two incredibly important ways to describe careers, not just in STEM but in data science, that yes, this can be fun. >> Yep. >> Should be if you're spending so much time every day, right, doing something for a living. But I love the creativity descriptor. Tell us a little bit about the room for interpretation and creativity to start removing some of the bias that is clearly there in data interpretation? >> Oh. (laughs) You're hitting the biggest sore point in data science. And you could even turn it around, you say, because of creativity, we have a problem too. Because you can be very creative in how you interpret the data, and unfortunately, for most of us, whenever we look at news, whenever we look at data or other information given to us, we never see this through an objective lens. We always see this through our own filters. And that, of course, when you're doing data analysis is risky, and it's tricky. 'cause you're often not even aware that you're doing it. So that's one thing, you have this bias coming in just as a data scientist and engineer. Even though we always say we do objective work and we're building neutral software programs, we're not. We're not. Everything that we do in machine learning, data mining, we're looking for patterns that we think may be in the data because we have to program this data. And then even looking at some of the results, the way we visualize them, present them, can really introduce bias as well. And then we don't control the perception of people of this data. So we can present it the way we think is fair, but other people can interpret or use little bits of that data in other ways. So it's an incredibly difficult problem and the more we use data to address and answer critical challenges, the more data is influencing decisions made by politicians, made in industry, made by government, the more important it is that we are at least aware. One of the really interesting things this conference, is that many of the speakers are talking to that. We just had Latanya Sweeney give an outstanding keynote really about this, raising this awareness. We had Daniela Witten saying this, and various other speakers. And in the first year that we had this conference, you would not have heard this. >> Martin: Really? Only two years ago? >> Yeah. So even two years ago, some people were bringing it up, but now it is right at the forefront of almost everybody's thinking. Data ethics, the issue of reproducibility, confirmations bias, now at least people now are aware. And I'm always a great optimist, thinking if people are aware, and they see the need to really work on this, something will happen. But it is incredibly important for the new data scientists that come into the field to really have this awareness, and to have the skill sets to actually work with that. So as a data scientist, one of the reasons why I think it's so fun, you're not just a mathematician or statistician or computer scientist, you are somebody who needs to look at things taking into account ethics, and fairness. You need to understand human behavior. You need to understand the social sciences. And we're seeing that awareness now grow. The new generation of data scientists is picking that up now much more. Educational programs like ours too have embedded these sort of aspects into the education and I think there is a lot of hope for the future. But we're just starting. >> Right. But you hit the nail on the head. You've got to start with that awareness. And it sounds like, another thing that you just described is we often hear, the top skills that a data scientist needs to have is statistical analysis, data mining. But there's also now some of these other skills you just mentioned, maybe more on the softer side, that seem to be, from what we hear on theCUBE, as important, >> Gerritsen: That's right. >> As really that technical training. To be more well-rounded and to also, as you mentioned earlier, to have to the chance to influence every single sector, every single industry, in our world today. >> And it's a pity that they're called softer skills. (laughs) >> It is. >> Because they're very very hard skills to really master. >> A lot of them are probably you're born with it, right? It's innate, certain things that you can't necessarily teach? >> Well, I don't believe that you cannot do this without innate ability. Of course if you have this innate ability it helps a little, but there's a growth mindset of course, in this, and everybody can be taught. And that's what we try to do. Now, it may take a little bit of time, but you have to confront this and you have to give the people the skills and really integrate this in your education, integrate this at companies. Company culture plays a big role. >> Absolutely. >> This is one of the reasons why we want way more diversity in these companies, right. It's not just to have people in decision-making teams that are more diverse, but the whole culture of the company needs to change so that these sort of skills, communication, empathy, big one, communication skills, presentation skills, visualization skills, negotiation skills, that they really are developed everywhere, in the companies, at the universities. >> Absolutely. We speak with some companies, and some today, even, on theCUBE, where they really talk about how they're shifting, and SAP is one of them, their corporate culture to say we've got a goal by 2020 to have 30% of our workforce be female. You've got some great partners, you mentioned Walmart Labs, how challenging was it to go to some of these companies here in Silicon Valley and beyond and say, hey we have this idea for a conference, we want to do this in six months so strap on your seatbelts, what were those conversations like to get some of those partners onboard? >> We wouldn't have been able to do it in six months if the response had not been fantastic right from the get-go. I think we started the conference just at the right time. There was a lot of talk about diversity. Several of the companies were starting really big diversity initiatives. Intel is one of them, SAP is another one of them. We were connected with these companies. Walmart Labs, for example, one of the founders of the company was from Walmart Labs. And so when we said, look, we want to put this together, they said great. This is a fantastic venue for us also. You see this with some of these companies, they don't just come and give us money for this conference. They build their own WiDS events around the world. Like SAP built 30 WiDS events around the world. So they're very active everywhere. They see the need, of course, too. They do this because they really believe that a changed culture is for the best of everybody. But they also believe that because they need the women. There is a great shortage of really excellent data scientists right now, so why not look at 50% of your population? >> Martin: Exactly. >> You know, there's fantastic talent in that pool and they want to track that also. So I think that within the companies, there is more awareness, there is an economic need to do so, a real need, if they want to grow, they need those people. There is an awareness that for their future, the long term benefit of the company, they need this diversity in opinions, they need the diversity in the questions that are being asked, and the way that the companies look at the data. And so, I think we're at a golden age for that now. Now am I a little bit frustrated that it's 2018 and we're doing this? Yes. When I was a student 30 some years ago, I was one of the very few women, and I thought, by the time I'm old, and now I'm old, you know, as far as my 18-year-old self, right, I mean in your 50s, you're old. I thought everything would be better. And we certainly would be at critical mass, which is 30% or higher, and it's actually gone down since the 80s, in computer science and in data science and statistics, so it is really very frustrating in that sense that we're really starting again from quite a low level. >> Right. Right. >> But I see much more enthusiasm and now the difference is the economical need. So this is going to be driven by business sense as well as any other sense. >> Well I think you definitely, with WiDS, you are beyond onto something with what you've achieved in such a short time period. So I can only imagine, WiDS 2018 reaching up to 100,000 people over these events, what do you do next year? Where do you go from here? (laughs) >> Well, it's becoming a little bit of a challenge actually to organize and help and support all of these international events, so we're going to be thinking about how to organize ourselves, maybe on every continent. >> Getting to Antarctica in 2019? >> Yeah, but have a little bit more of a local or regional organization, so that's one thing. The main thing that we'd like to do is have even more events during the year. There are some specific needs that we cannot address right now. One need, for example, is for high school students. We have two high school students here today, which is wonderful, and quite a few of them are looking at the live-stream of the conference. But if you want to really reach out to high school students and tell them about this and the sort of skill sets that they should be thinking about developing when they are at university, you have to really do a special event. The same with undergraduate students, graduate students. So there are some markets there, some subgroups of people that we would really like to tailor to. The other thing is a lot of people are very very eager to self-educate, and so what we are going to be putting together, at least that's the plan now, we'll see, if we can make this, is educational tools, and really have a repository of educational tools that people can use to educate themselves and to learn more. We're going to start a podcast series of women, which will be very, very interesting. We'll start this next month, and so every week or every two weeks we'll have a new podcast out there. And then we'll keep the momentum going. But really the idea is to not provide just this one day of inspiration, but to provide throughout the year, >> Sustained inspiration. >> Sustained inspiration and resources. >> Wow, well, congratulations, Margot, to you and your co-founders. This is a movement, and we are very excited for the opportunity to have you on theCUBE as well as some of the speakers and the attendeees from the event today. And we look forward to seeing all the great things that I think are going to come for sure, the rest of this year and beyond. So thank you for giving us some of your time. >> Thank you so much, we're a big fan of theCUBE. >> Oh, we're lucky, thank you, thank you. We want to thank you for watching theCUBE. I'm Lisa Martin, we are live at the third annual Women in Data Science Conference coming to you from Stanford University, #WiDS2018, join the conversation. I'll be back with my next guest after a short break. (upbeat music)
SUMMARY :
(upbeat music) Brought to you by Stanford. Welcome back to theCUBE, we are live It's great to be here, thanks so much and director of the Institute for Computational a sense of the history of WiDS, which is very short. and it's probably going to be a barrier. And so we connected with the organizers and asked them why? And to our big surprise, we had 6,000 people now we have over 200 ambassadors. So we're on every continent apart from Antarctica not only speaks to the power, like you said, that have been in the STEM field and technology for a while. so, this year, not only are you reaching, before the conference, and you can announce so that was the requirement, we have a lot of mixed teams. One of the things I saw you on a Youtube video talking about and creativity to start removing some of the bias is that many of the speakers are talking to that. that come into the field to really have this awareness, that seem to be, from what we hear on theCUBE, as you mentioned earlier, to have to the chance to influence And it's a pity that they're called softer skills. and you have to give the people the skills that are more diverse, but the whole culture of the company You've got some great partners, you mentioned Walmart Labs, of the company was from Walmart Labs. by the time I'm old, and now I'm old, you know, Right. and now the difference is the economical need. what do you do next year? how to organize ourselves, maybe on every continent. But really the idea is to not provide for the opportunity to have you on theCUBE coming to you from Stanford University,
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Mala Anand, SAP | WiDS 2018
>> Narrator: Live from Stanford University in Palo Alto, California. It's theCUBE covering Women in Data Science Conference 2018. Brought to you by Stanford. >> Welcome back to theCUBE. Our continuing coverage live at the Women in Data Science Conference 2018, #WiDS2018. I'm Lisa Martin and I'm very excited to not only be at the event, but to now be joined by one of the speakers who spoke this morning. Mala Anand, the executive vice president at SAP and the president of SAP Leonardo Data Analytics, Mala Anand, Mala, welcome to theCUBE. >> Thank you Lisa, I'm delighted to be here. >> So this is your first WiDS and we were talking off camera about this is the third WiDS and 100,000 people they're expecting to reach today. As a speaker, how does that feel knowing that this is being live streamed and on their Facebook Live page and you have the chance to reach that many people? >> It's really exciting, Lisa and you know, it's inspiring to see that we've been able to attract so many participants. It's such an important topic for us. More and more I think two elements of the topic, one is the impact that data science is going to have in our industry as well as the impact that we want more women to participate with the right passion and being able to be successful in this field. >> I love that you said passion. I think that's so key and that's certainly one of the things, I think as my second year hosting theCUBE at WiDS, you feel it when you walk in the door. You feel it when you're reading the #WiDS2018 Twitter feed. It's the passion is here, the excitement is here. 150 plus regional WiDS events going on today in over 50 countries so the reach can be massive. What were maybe the top three takeaways from your talk this morning that the participants got to learn? >> Absolutely, and what's really exciting to see is that we see from a business perspective that customers are seeing the potential to drive higher productivity and faster growth in this whole new notion of digital technologies and the ability now for these new forms of systems of intelligence where we embed machine learning, big data, analytics, IoT, into the core of the business processes and it allows us to reap unprecedented value from data. It allows us to create new business models and it also allows us to reimagine experiences. But all of this is only possible now with the ability to apply data science across industries in a very deep and domain expertise way, and so that's really exciting and, moreover, to see diversity in the participants. Diversity in the people that can impact this is very exciting. >> I agree. You talked about digital business. Digital transformation opens up so many new business model opportunities for companies but the application of advanced analytics, for example, alone opens up so many more career opportunities because every sector is affected by big data. Whether we know it or not, right? And so the opportunity for those careers is exploding. But another thing that I think is also ripe for conversation is bringing in diverse perspectives to analyze and interpret that data. >> Absolutely. >> To remove some of the bias so that more of those business models and opportunities can really bubble up. >> Absolutely. >> Lisa: Tell me about your team at SAP Leonardo and from a diversity perspective, what's going on there? >> Yeah, absolutely. So I think your point is really valid which is, the importance of bringing in diversity and also the importance of diversity both from a gender perspective and a diversity in skills. And I think the key element of data and decision science is now it opens up different types of skills, right? It opens up the skills of course, the technology skills are fundamental. The ability to read data modeling is fundamental, but then we add in the deep domain expertise. The add in the business perspectives. The ability to story tell and that's where I see the ability to story tell with the right domain expertise opens up such a massive opportunity for different kinds of participants in this field and so within SAP itself, we are very driven by driving diversity. SAP had set a very aggressive goal for by 2017 to be at 25% of women in leadership positions and we achieved that. We've got an aggressive goal to be at 30% of women in leadership positions by 2020 and we're really excited to achieve that as well and very important as well both within Leonardo and data analytics as well, by diversity is fundamental to our growth and more importantly to the growth for the industry. I think that's going to be fundamental. >> I think that's a really important point, the growth of the industry. SAP does a lot with WiDS. We had Ann Rosenberg on last year. I saw her walking around. So from a cultural stand point, what you've described, there's really a dedicated focus there and I think it's a unique opportunity that SAP doesn't have. They're taking advantage of it to really show how a massive corporation, a huge enterprise, can really be very dedicated to bringing in this diversity. It helps the business, but it also, to your point, can make a big impact on industry. >> Absolutely, you know, culture is such a critical part of being succeeding in the business, and I think culture is an important lever that can help differentiate companies in the market. So of course it's technology, it's value creation for our customers, and I think culture is such an important part of it, and when you unpeel the lever of culture, within there comes diversity, and within there comes bringing a different diversity of skills base as well that is going to be really critical in the next generation of businesses that will get created. >> I like that. Especially sitting in Silicon Valley where there's new businesses being created every, probably 30 seconds. I'd love to understand, if we kind of take a walk back through your career and how you got to where you are now. What were some of the things that inspired you along the way, mentors? What were some of the things that you found really impactful and crucial to you being as successful as you are and a speaker at an event like WiDS? >> Oh, absolutely. It's really exciting to see that from my own personal journey, I think that one of the things that was really important is passion. And ensuring that you find those areas that you're passionate about. I was always very passionate about software and being able to look at data and analyze data. From doing my undergraduate in Computer Science, as well as my graduate work in Computer Science from Brown, and from there on out, always looking at any of the opportunities whether it was an individual contributor that I did. It's important to be passionate and I felt that that was really my guiding post to really being able to move up from a career perspective, and also looking to be in an environment, in an ecosystem, of people and environments that you're always learning from, right? And always never being afraid to reach a little bit further than your capabilities. I think ensuring that you always have confidence in the ability that you can reach, and even though the goals might feel a little bit far away at the moment. So I think also being around a really solid team of mentors and being able to constantly learn. So I would say a constant, continuous learning, and passion is really the key to success. >> I couldn't agree more. I think it's that we often, the word expert is thrown around so often and in so many things, and there certainly are people that have garnered a lot of expertise in certain areas, but I always think, "Are you really ever an expert?" There's so much to learn everyday, there's so many opportunities. But another thing that you mentioned that reminded me of, we had Maria Klawe on a little bit earlier today and one of the things that she said in her welcome address was, in terms of inspiration, "Don't worry if there's something "that you think you're not good at." >> Mala: Absolutely. >> It's sort of getting out of your comfort zone and one of my mentors likes to say, "getting comfortably uncomfortable." That's not an easy thing to achieve. So I think having people around, people like yourself, you're now a mentor to potentially 100,000 people today, alone. What are some of the steps that you recommend of, how does someone go, "I really like this, "but I don't know if I can do it." How would you help someone get comfortably uncomfortable? >> Yeah, I think first of all, building a small group I would say, of stakeholders that are behind you and your success is going to be really important. I think also being confident about your abilities. Confidence comes in failing a few times. It's okay to miss a few goals, it's okay to fail, but then you leap forward even faster. >> Failure is not a bad F word, right? >> Mala: Absolutely. >> It really can be, and I think, a lot of leaders, like yourself will say that it's actually part of the process. >> It's very much part of the process. And so I think, number one thing is passion. First you've got to be really clear that this is exactly what you're passionate about. Second is building a team around you that you can count on, you can rely on, that are invested in your success. And then thirdly is also just to ensure that you are confident. Being confident about asking for more. Being confident about being able to reach close to the impossible is okay. >> It is okay, and it should be encouraged, every day. No matter what gender, what ethnicity, that should just sort of be one of those level playing fields, I think. Unfortunately, it probably won't be but events like WiDS, and the reach that it's making today alone, certainly, I think, offer a great foundation to start helping break some of the molds that even as we sit in Silicon Valley, are still there. There's still massive discrepancies in pay grades. There's still a big percentage of females with engineering degrees that are not working in the field. And I think the more people like yourself, and some of your other colleagues that are here participating at WiDS alone today, have the opportunity to reach a broader audience, share their stories. Their failures, the successes, and all the things that have shaped that path, the bigger the opportunity we have and it's, I think, almost, sort of a responsibility for those of us who've been in STEM for a while, to help the next generation understand nobody got here with a silver spoon. Eh, some. >> Absolutely. >> But on a straight path. It's always that zig zaggy sort of path, and embrace it! >> Yeah, I think that's key, right? And the one point here is very relevant that you mentioned as well is, that it's very important for us to recognize that a love for an environment where you can embrace the change, right? In order to embrace change, it's not just people that are going through it, but people that are supporting it and sponsoring it because it's a big change. It's a change from what was an environment a few years ago to what is going to be an environment of the future, which is an environment full of diversity. So I think being able to be ambassadors of the change is really important. As well as to allow for confidence building in this environment, right? I think that's going to be really critical as well. And for us to support those environments and build awareness. Build awareness of what is possible. I think many times people will go through their careers without being aware of what is possible. Things that were certain thresholds, certain limits, certain guidelines, two years ago are dramatically different today. >> Oh yes. >> So having those ambassadors of change that can help us build awareness, with our growing community, I think is going to be really important. >> I think, some of the things too, that you're speaking to, there are boundaries that are evaporating. We're seeing them become perforated and sort of disappear, as well as maybe some of these structured careers. There's a career as this, as that. They used to be pretty demarcated. Doctor, lawyer, architect, accountant, whatnot. And now it's almost infinite. Especially having a foundation in technology with data science and the real world social implications alone, that a career in this field can deliver just kind of shows the sky's the limit. >> Yeah, absolutely. The sky's truly the limit, and I think that's where you're absolutely right. The lines are blurring between certain areas, and at the same time, I think, this opens up huge opportunity for diversity in skill set and diversity in domain. I think equally important is to ensure to be successful you want to start by driving focus, as well, right? So, how do you draw that balance? And for us to be able to mentor and guide the younger generation, to drive that focus. At the same time take leverage the opportunities open is going to be critical. >> So getting back to SAP Leondardo. What's next in this year, we're in March of 2018. What are some of the things that are exciting you that your team is going to be working on and delivering for SAP and your customers this year? >> SAP Leondardo is really exciting because it essentially allows for our customers to drive faster innovation with less risk. And it allows our customers to create these digital businesses where you have to change a business process and a business model that no single technology can deliver. So as a result we bring together machine learning, big data analytics, IoT, all running on a solid cloud platform with in-memory databases like Kana, at scale. So this year is going to be all about how we bring these capabilities together very specifically by industry and reimagine processes across different industries. >> I like that, reimagine. I think that's one of the things that you're helping to do for females in data science and computer sciences. Reimagine the possibilities. Not just the younger generation, but also those who've been in the field for a while that I think will probably be quite inspired and reinvigorated by some of the things that you're sharing. So, Mala, thank you so much for taking the time to stop by theCUBE and share your insights with us. We wish you continued success in your career and we look forward to seeing you WiDS next year. >> Thank you so much, Lisa. I'm delighted to be here. >> Excellent. >> Thank you. >> My pleasure. We want to thank you. You are watching theCUBE live from WiDS 2018, at Stanford University. I'm Lisa Martin. Stick around, my next guest will be joining me after this short break.
SUMMARY :
Brought to you by Stanford. be at the event, but to now be joined and 100,000 people they're expecting to reach today. and being able to be successful in this field. that the participants got to learn? and the ability now for these new forms And so the opportunity for those careers is exploding. To remove some of the bias so that more I think that's going to be fundamental. to your point, can make a big impact on industry. that can help differentiate companies in the market. to you being as successful as you are and passion is really the key to success. and one of the things that she said and one of my mentors likes to say, It's okay to miss a few goals, it's okay to fail, a lot of leaders, like yourself to ensure that you are confident. that have shaped that path, the bigger It's always that zig zaggy sort of path, and embrace it! I think that's going to be really critical as well. I think is going to be really important. can deliver just kind of shows the sky's the limit. the opportunities open is going to be critical. What are some of the things that are exciting you And it allows our customers to create and reinvigorated by some of the things that you're sharing. I'm delighted to be here. from WiDS 2018, at Stanford University.
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Greg Theriault, SiliconANGLE | Focus On Customers Jan 2018
>> [Narrator] From the SiliconANGLE media office in Boston, Massachusets, it's theCUBE. Now, here's your host, Dave Vellante. >> Hi everybody, Dave Vellante here coming at you from our East Coast studios in Marlborough, MA just outside of Boston. What I wanted to do is give you a little recap of 2017 and what's happening and give you an update on SiliconANGLE Media. So as many of you know SiliconANGLE Media INC comprises three brands. TheCUBE, which as most of you know is we call it sometimes the ESPN of tech, it's our live and on demand video broadcasting element. And of course we have the research arm which is Wikibon and Wikibon.com And then, SiliconANGLE is our news site. And so I want to just, as I said, recap what went down in 2017 some of the things you may not know about. >> Last February, February first, actually we opened the new studio in Palo Alto, California. It's at 989 Commercial ST, you should check it out. It's sort of near the mountain view line but it's in Palo Alto, it's a great location, we have a large studio there. And throughout the year, in 2017 we held events, we had launches, but most importantly John Furrier, my business partner, is really running editorial content programs out of that studio. >> So every Thursday Furrier has high level key guests come in CEOs, VCs, in customers, and they just riff on what's going on in the industry and what's happening It's been an absolutely awesome resource for us and I really encourage you guys to go check it out. We did 135 show days last year. TheCUBE is run by our general manager, Jeff Frick and 135 show days meaning we broadcast live at 135 days at events last year, which is just incredible. >> It was our first year we ever did anything in China We did the Alibaba conference, the cloud show there that was very exciting. We did a number of shows in Europe and of course all the big shows in the United States as well >> We launched three websites last year. TheCUBE.net is the latest one. You know, a lot of times we talk about data driven media. If you go to theCube.net and check it out, you'll see something called theCUBE Alumni database. And theCUBE Alumni database contains virtually everybody who's ever been on theCUBE. So you can search CIOs, CEOs, developers, bloggers, analysts all the folks that have been on theCUBE you can see and they've got a profile page on each one of those so, we're collecting all that data SiliconANGLE.com we launched the new website >> SiliconANGLE is run by Rob Hof, who is our Editor-in-Chief Rob was the Silicon Valley beuro chief for business week for the better part of a decade, so we're really proud to have Rob on. He's been on for the last couple of years and just doing a great job with that site. >> And then Wikibon.com is run by Peter Burris he's our Chief Research Officer He's been with us now for the better part of 2 years and he's got that team cranking on all kinds of research in cloud and AI and data orientation, the edge, and infrastructure for emerging applications like AI. >> One of the areas we're most excited about that we launched in 2017 was a new capability called Clipper. So we have this tool called Video Clipper as you know, John Furrier and I, when we met we had this vision for data driven media and innovation and we launched this tool we call video clipper that was developed by Kent Libbey and his team one of our newer executives that we brought in last year on the product side. >> What Video Clipper does is we transcribe every video now that we do, we'll transcribe this video, and then we synchronize the transcript with the video and we're able to then search video, highlight a text, a paragraph let's say, push a button and boom we've got a clip and that clip is ready to be shared throughout various social media platforms like Twitter, and LinkedIn, and Facebook and the like So very, very excited about that tool you're going to be hearing more about that We don't sell it as a separate tool, we integrate it as part of our offerings and got some new offerings that we're bringing to customers in 2018. >> One of the other really exciting things in 2017 we brought in a new chief revenue officer his name is Greg Theriault, I'm going to introduce you to him today Greg Theriault is with me here in studio, Greg, it's great see you, thanks for spending some time with us. >> [Greg] Thank you, Dave, thanks for the opportunity I've never been more excited. Let me tell you a little bit about myself I live in Concord, MA right around the studio here and I came from the IT industry. I've been there for a long time. I used to be at a small systems integrator, kind of the size of SiliconANGLE Media, building client servers, computing, got certified in Novell, and then I jumped into sales. I worked most recently at Forester Research and was there for almost 18 years, two decades, building the sales capabilities, always wrapped around the customers, but I am thrilled to be here today >> [Dave] So, Novell, when our network goes down can you help us fix that? >> It was about 20 years ago but, you know the history with Novell >> Yeah, another Utah company that somehow didn't make it, but for a while they were a little monopoly. So you've been in the business now for a couple of decades maybe, you know, think about what has happened over the last 20 years, what kind of changes have you seen? Share with us your perspectives. >> I've never seen so much disruption from client server, to social computing, to AI, now it's digital disruption in everything and you hear about this all the time in the news that companies are becoming software companies look around the corner, GE is now GE digital, they're trying to reinvent themselves, very, very exciting times. AI machine learning, autonomous computing, and then right around the corner there's block chain I mean that's the big buzz these days Also there's the autonomous vehicles, and let em give you a quick story About two years ago my son was born and I was fortunate enough to have a breakfast with the CEO of Tesla, and I asked him "Hey, he was born, what's going to happen in 16 years?" and JB said to me quite candidly, he said "if your son is driving a car that's not autonomous it won't be safe and he won't need a license" So, things are happening at an epic speed I don't know I these prediction will be true but it is Telsa >> [Dave] Won't need a license, you know it's funny, I mean, I don't know how you feel about it but when I turned 16 it was one of the most exciting days of a young person's life. You wonder what the social implications of that is if you don't need a license, I don't know maybe they can start driving at 14 or 13, you know whatever but you know what I'm saying? >> [Greg] Yeah That was a really exciting time we couldn't wait to get our permits and "Dad can I drive you to the dump?" Right? It's like... >> Self driving cars and self driving refrigerators, I mean, it's moving fast it's at an epic speed right now >> Well everything, and again, you take that business it's all about the data, as I said in my intro we always talk about data driven media we got so much data, you talk about digital transformation, philosophy is digital meets data >> Right >> and you talked about GE you're seeing all these companies now getting disrupted because digital allows people to move so fast, it allows companies like Apple to get into financial servies and you're seeing Amazon become a content company and it's really all around the data, isn't it? >> [Greg] Absolutely >> So, I wonder if you could share with our audience, SiliconANGLE Media, small company you came from a much larger firm, a big brand, Forester, your former company. What attracted you to SiliconANGLE Media? >> I think it was the fact that I jumped on airplane and went out to Palo Alto and met with your general managers. I think the innovation and the speed, the speed around it's in your DNA and then you took social computing, combined it with really computing power. And then I saw the Video Clipper tool. It's the fastest application I've ever seen to clip video and that innovation, the speed really attracted me to the company, to build really powerful content >> [Dave] Yeah it's been quite a ride since I met John Furrier in 2010. You know, John at the time, said "Dave, whatever we do we have to innovate. "We have to continue to invest in R&D" And those R&D experiments they don't always pay off but when one hits, like the Clipepr tool, it can be a home run so we're very excited about that. Share with us your philosophy, what can we expect from Greg Theriault? >> [Greg] Sure, I appreciate that. Well I'm happy to be here I actually blogged on LinkedIn over the weekend about my transition here, and I think it starts off with my family, my son and my wife they helped me, they grounded me, but my philosophy on business is to really be customer focused to hire the right people, train and coach, and build a different mindset which I call the growth mindset the sales rep of the future is being disrupted right now just like very other function. And that is absolutely pivotal. I think the buyers change, Dave. Faster in two years than the past 100 years the buyer is in control, you have to build systems, processes and technologies wrapped around how do you help the customer be successful at drygrowth and that's the biggest shift going on right now I mean sales right now, again, is being disrupted so social selling and things like that, I want to bring that kind of discipline and processes to SiliconANGLE Media >> [Dave] Well, what about social selling? A lot of people will, when social media really started to come into play, a lot of people say "well, we sell to IT people, and IT people, they don't have time to go on Twitter, they don't do Facebook" What's your perspective, has that changed you know and what about that? >> It's changed faster than I could ever believe buyers buy differently but they also need to see the different presence in social that's Twitter, that's LinkedIn, and that's also you have to be on the phone, you have to be in front of customers but it absolutely is pivotal that the new, let's call it a digital rep, needs to understand the tools to listen. Listen to the customer first and foremost, and it's a new channel but it's a channel here for a long time. Again, it's disrupting sales at an epic pace >> [Dave] So what are your priorities, looking out, say, near term, mid-term, long term? >> [Greg] To wrap my hand around the customer base you have to innovate with them, with the team we build And also to build the collaborative culture I'm really into culture and the ability to kind of game-afy the culture, grow the business, accelerate the business, and also develop the team that we build. I mean, the aspirations to where do they want to be in a couple years will help build the business and that's a global business as well >> Well, of course, a lot of the action in the tech business is out in Silicon Valley, and you and I are based here in the East coast, What can we expect in terms of your presence in Silicon Valley? >> I'll be on a plane a lot, and I don't mind that at all I mean, it's a flat country right now So I'll be on a plane, but also the heat is in Boston, New York, Chicago, but the Valley is where it's at so I'm going to be jumping on plane in two weeks to meet with the team, I can't wait >> [Dave] Well, we're excited Greg, to have an executive of your callabor join our team. >> [Greg] Thank you, appreciate that >> Congratulations, and look forward to many, many years of productive growth and adding value for our clients with you >> [Greg] Likewise, thank you >> Alright, you're welcome. Thanks for watching everybody, this is Dave Vellante with Greg Theriault, we'll see you next time.
SUMMARY :
[Narrator] From the SiliconANGLE media office the things you may not know about. It's at 989 Commercial ST, you should check it out. and I really encourage you guys to go check it out. and of course all the big shows in the United States as well all the folks that have been on theCUBE you can see He's been on for the last couple of years and data orientation, the edge, and One of the areas we're most excited about that we and then we synchronize the transcript with the video Greg Theriault, I'm going to introduce you to him today and I came from the IT industry. over the last 20 years, what kind of changes have you seen? and let em give you a quick story I mean, I don't know how you feel about it but and "Dad can I drive you to the dump?" What attracted you to SiliconANGLE Media? and that innovation, the speed really attracted me You know, John at the time, said the buyer is in control, you have to build systems, also you have to be on the phone, you have to be in front and also develop the team that we build. executive of your callabor join our team. with Greg Theriault, we'll see you next time.
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Edaena Salinas, The Women In Tech Show & Microsoft | KubeCon 2017
>> Narrator: Live from Austin, Texas, It's theCUBE, covering KubeCon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Welcome back and we're live here in Austin, Texas. theCUBE's exclusive coverage of CloudNativeCon and KubeCon, which stands for Kubernetes Conference, the not Cube, C-U-B-E, that's us. I'm John Furrier here with Matt Broberg, co-host in here for Stu Miniman, podcaster himself And we also have a special podcaster here on theCUBE, Edaena Salinas, who's the host of The Women in Tech Show @techwomenshow on Twitter, also a software engineer at Microsoft. Welcome to theCUBE, thanks for joining us. >> Thank you for having me. >> This is kind of like a podcast, we're like live though, we're streaming. >> Oh, okay. >> Love your sweater, that's a binary tree holiday tree. >> Binary Christmas tree. >> Binary Christmas tree. >> So perfect. >> I'm going to do a quick sort quickly, no I'm only kidding. So question for you, you've got a great program, you've got a desk over there, you're doing some interviews here, great to see you here doing The Women in Tech. We've done a lot of women in tech interviews on theCUBE, love to showcase women programming, women developers, women in stem, great that you do it so congratulations. So tell us what's the vibe like, are you people excited to do podcasting, is it all women, do you interview men, so tell us a little bit about the show. >> That's a good question. The motivation of the show is to have technical women talk about what they're working on, the products they're building or business strategy, instead of what does it feel like to be a woman in tech, or the only woman in the meeting room. Those conversations are valid, but I think we've heard a lot of those, and the community can benefit if they're just listening to what they're working on. >> It's great to get the education out there. So I have a question for you, I'd love to ask this. But I never really had a, talk about software engineering on theCUBE, what's the style difference in coding, do that's talked about, are women, do they code differently? Is it, probably neater, cleaner, is there biases in coding in that come into, because. >> I'm not aware of (laughs) difference like that, but, you could find that out if you run a script on the GitHub projects but, I don't think it affects. >> People don't, they don't talk about that, do they? >> They don't talk about that, and I certainly haven't experienced anything like that, and I learn from my coworkers and they learn from me. >> Now what are you working on at Microsoft? >> I am at Microsoft Research earlier this year, so what I work on is adding AI features to our existing products, like Outlook and Dynamics, so yeah. >> And I want to switch gears and talk about the podcast a little bit. So, I'm curious what was your inspiration to start it, and had you done podcasts before or did it just feel right, like this is the time to do something? >> I hadn't done a podcast before, but I had listened to a lot of shows. And the initial motivation of this is, at Microsoft where I work, they have this Meet Our Leader series, where they bring men and women in a leadership position. The audience is mostly women, and I was tuning in there by Skype, and there's 200 people listening to them plus people in the room, and they're asking questions about what's our business strategy or technical questions, so I'm like, women want to know about these things, and then in addition to that I noticed some women, technical women, they list on their website, I love giving talks, just not the diversity talk or the lady panel, I've given it several times, I just want to talk about cloud computing or the things that I work on. And then I looked if someone was doing this already, a show like this. I didn't find it, so I started it, and it helped that I listened to other shows. >> I mean I find when I talk to a lot of my women friends that are technical, sometimes CTOs and higher, and even down in programming, they don't want to, they just want to talk about what they're working on. They don't want to be the, that woman in tech on the panel, I've had a friend said to me privately over the weekend at a party, I don't, am sick and tired of being called and them saying, I need a woman on a panel. >> Yeah. >> I mean, it's kind of like a backlash, but they also feel obligated to do it. >> Yeah. There's kind of a new culture developing. Talk about that, and what that kind of conversation's like in your world. >> Well what I've heard, for example Sheryl Sandberg I think has said, there, we will reach a point someday where we won't be called a female CEO or a woman engineer, it would just be engineer. So, that's our goal, to just lose that label at someday, right now, the show has the label because I'm raising awareness of having them talk about technical topics. As more people hear about them, it's just going to be natural and normal like, sure I learned from Nicole about Kubernetes, and then men are also listening to the show, which I think benefits a lot the community. >> I have two daughters, one's in high school, one's in college, one's at Cal, and they're techies, they're science, they like science, not coding yet. Their mom doesn't want them to be like me and code, but, so they're, but they're-- >> Just give them the choice >> I said hey, do you do Cube interviews, it's also an option. But in their culture, when I ask them about this, they're like, we don't think about it. So there's a, at their level, they're all in school together and it's interesting, I think a time is coming now where the awareness is putting the old guard pressures away, there's still some bad behavior, no doubt about it, I see it everyday and it's being called out, thank god, but now it's just like, you're a person in tech. >> Exactly. >> So I think respect is the number one, respect for the individual is something that we always preach, independent of who the person is, male, female, whatever. >> Yeah, exactly, and we will reach that point soon, I hope so, where we lose the label. >> So you're 77 episodes in, I'm also a listener, I learned a ton from it, you have brilliant people on every week. I really admire you for that because I know how hard it is to produce a podcast. What are some of the things you didn't know before starting a podcast that like, oh wow, that takes more energy than it looked like at the time. >> That's a good point, yes. The very first few interviews that I did, I didn't take into account how the guest would respond. So I prepared the questions in advance, and then I would think, this is going to be a two-minute answer, but the person just ended up saying yes, no, or sure, that's a big problem, and I was counting on it to be more, so I needed to prepare in that aspect and what helps is just, if they've already given talks, just look them up on YouTube or find all their interviews they've done, just to get a sense of how they talk. There's also people that tend to give super long answers, and you need to prepare for that, how you're going to handle it. >> I noticed you had someone from Bitnami came by recently, was that Erica? >> Erica Brescia came on the show a few months ago, the COO of Bitnami, and in that episode we focused a lot on entrepreneurship, she came out of YC, so sort of building Bitnami to where it is, and today I interviewed the engineering manager of Bitnami, and she talked about Kube apps and all this security aspects. >> What are some of the innovations you're seeing in your interviews? Can you highlight some examples recently that jump out at you, that are, lot of innovation coming from these ladies, what are some of things that they've done? Shine the light on some of the awesome highlights from your guests. >> One of my favorite ones is Rachel Thomas, she works at Fast.ai, what she works on is bias in machine learning. Machine learning is about learning from your data, but I've heard, this woman at a conference bring it up, like, if I'm a minority, I'm a minority in the data. So you need to take that into account. So there's a lot of people working in the space. That was a really cool project I think. >> Data driven analysis. >> Yeah, but sort of, considering that bias that can be in that data, and make sure your data is better. So for example, it's a known fact that there's a lot of men in the technology field, so if you're going to get job recommendations, if a person like me, Mexican, I studied computer science but if I'm a minority in the dataset, maybe I'm not going to get the recommendation. I'm not saying that how it works, but that could potentially be an issue. >> It's a statistical fact. >> Yeah, but if you don't take that into account in your system, maybe women are not getting job recommendations, of openings. >> That's a good point. >> So, it brings up-- >> That's a really powerful observation, right, and I was curious, as a software engineer, software engineering is your craft and podcasting is your hobby, how has podcasting influenced your software engineering skills? Because ultimately that's the path you're going down career-wise. >> Well a big part of software engineering is about talking to your team and going to meetings, talking about solutions. Podcasting has help me a lot, improve my soft skills. For a period of time I was editing my own shows. One thing that I noticed is when I was talking to my guests, I'm listening to my recording, when I would say an idea, I would tend to lower my voice. So I noticed that, and then I said to myself, I'm probably doing this in the meetings at work, and then, I work-- >> What an amazing insight, right, like now you're seeing how you're presenting yourself in front of other people in technical ways and then you get to bring that into your work. >> Yeah, whenever I would say an idea I would just be like, what happens if we do this instead? That was like I have to-- >> That's a great example of self-awareness, right, I mean, everyone should do that, listen to their, look at their actions. >> Yes, so it helps with the soft skills. And it also helps if you're working in a certain area of software engineering, and you want to find out more about it, you can decide to do more shows on that and just share that with the community that women are working on this. >> It's great to see you have some Cube alumni like Erica on, we interviewed her on theCUBE at Google Next a few years ago. Share some coordinates, when does the show go out, when do you record it, does it ship on a regular cadence, share a little information. >> The show is released weekly. I publish Monday evenings, but I share it on social media on Tuesday mornings, so if you're subscribed, you would get it Monday evenings. >> Good for the week, running, on the bike, in the car. >> It's 30 minutes. >> Any video podcasting coming? >> I don't have any video, no. >> Lot more editing required, trust me on that one. Cool. What's the most exciting thing that you're working on right now? You have the podcast, which is a super cool hobby, great to get those voices out there, so congratulations. But at work, what are you working on? >> Yes, well like I mentioned earlier, I work on a team it's a team under Microsoft Research, a lot of it, we don't know what people working on there, but, my team works closely with product teams. So we're adding AI features to Outlook and Dynamics CRM. Just to increase the productivity aspect, in this sense. >> So you're bringing applied R and D to the product groups, mostly AI? >> Yes, yeah. >> What's the coolest thing in AI that you like? >> Oh wow, well I really like recommendation systems and things like that. >> All right, well thanks for coming on theCUBE, really appreciate it, The Tech Women podcast here, they got a booth over there. Doing great interviews, here's at theCUBE we're doing our share. Two days, the second day of live wall to wall coverage. Be right back with more live coverage, in Austin Texas. You here the music, this is the big D, Texas here in Austin Texas. More live coverage, that's Dallas, we're in Austin. Be right back with more live coverage after this short break. (futuristic music)
SUMMARY :
Brought to you by Red Hat, the Linux Foundation, Welcome to theCUBE, thanks for joining us. This is kind of like a podcast, we're like live though, to do podcasting, is it all women, do you interview men, The motivation of the show is to have It's great to get the education out there. on the GitHub projects but, I don't think it affects. and I learn from my coworkers and they learn from me. I am at Microsoft Research earlier this year, like this is the time to do something? and it helped that I listened to other shows. I've had a friend said to me privately over the weekend but they also feel obligated to do it. Talk about that, and what that kind of conversation's So, that's our goal, to just lose that label at someday, I have two daughters, one's in high school, I said hey, do you do Cube interviews, for the individual is something that we always preach, I hope so, where we lose the label. What are some of the things you didn't know I didn't take into account how the guest would respond. the COO of Bitnami, and in that episode we focused a lot What are some of the innovations you're seeing So you need to take that into account. in the technology field, so if you're going to get job Yeah, but if you don't take that into account and podcasting is your hobby, how has podcasting So I noticed that, and then I said to myself, to bring that into your work. everyone should do that, listen to their, and just share that with the community It's great to see you have some Cube alumni on Tuesday mornings, so if you're subscribed, great to get those voices out there, so congratulations. Just to increase the productivity aspect, in this sense. and things like that. You here the music, this is the big D, Texas
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Dustin Kirkland, Canonical | KubeCon 2017
>> Announcer: Live from Austin, Texas, it's theCUBE. Covering KubeCon and CloudNativeCon 2017. Brought to you by: Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Hey, welcome back everyone. And we're live here in Austin, Texas. This is theCUBE's exclusive coverage of the Cloud Native conference and KubeCon for Kubernetes Conference. This is for the Linux Foundation. This is theCUBE. I'm John Furrier, the co-founder of Silicon ANGLE Media. My co, Stu Miniman. Our next guest is Dustin Kirkland Vice-President of product. The Ubuntu, Canonical, welcome to theCUBE. >> Thank you, John. >> So you're the product guy. You get the keys to the kingdom, as they would say in the product circles. Man, what a best time to be-- >> Dustin: They always say that. I don't think I've heard that one. >> Well, the product guys are, well all the action's happening on the product side. >> Dustin: We're right in the middle of it. >> Cause you got to have a road map. You got to have a 20 mile steer on the next horizon while you go up into the pasture and deliver value, but you always got to be watching for it always making decision on what to do, when to ship product, not you got the Cloud things are happening at a very accelerated rate. And then you got to bring it out to the customers. >> That's right. >> You're livin' on both sides of the world You got to look inside, you got to look outside. >> All three. There's the marketing angle too. which is what we're doing here right now. So there's engineering sales and this is the marketing. >> Alright so where are we with this? Because now you guys have always been on the front lines of open source. Great track record. Everyone knows the history there. What are the new things? What's the big aha moment that this event, largest they've had ever. They're not even three years old. Why is this happening? >> I love seeing these events in my hometown Austin, Texas. So I hope we keep coming back. The aha moment is how application development is fundamentally changing. Cloud Native is the title of the Cloud Native Computing Foundation and CloudNativeConference here. What does Cloud Native mean? It's a different form of writing applications. Just before we were talking about systems programing right? That's not exactly Cloud Native. Cloud Native programming is writing to API's that are Cloud exposed API's, integrating with software as a service. Creating applications that have no intelligence, whatsoever, about what's underneath them, Right? But taking advantage of that and all the ways that you would want and expect in a modern application. Fault tolerance, automatic updates, hyper security. Just security, security, security. That is the aha moment. The way applications are being developed is fundamentally changing. >> Interesting perspective we had on earlier. Lew Tucker from Cisco, (mumbles) in the (mumbles) History Museum, CTO at Cisco, and we have Kelsey Hightower co-chair for this conference and also very active in the community. Yet, in the perspective, and I'll over simplify and generalize it, but basically was: Hey, that's been going on for 30 years, it's just different now. Tell us the old way and new way. Because the old way, you kind of describing it you're going to build your own stuff, full stack, building all parts of the stack and do a lot of stuff that you didn't want to do. And now you have more, especially time on your hands if DevOps and infrastructure as code starts to happen. But doesn't mean that networking goes away, doesn't mean storage goes away, that some new lines are forming. Describe that dynamic of what's new and the new way what changes from the old way? >> Virtualization has brought about a different way of thinking about resources. Be those compute resources, chopping CPU's up into virtual CPU's, that's KVM ware. You mentioned network and storage. Now we virtualized both of those into software defined storage and software defined networking, right? We have things like OpenStack that brings that all together from an infrastructure perspective. and we now have Kubernetes that brings that to fare from an application perspective. Kubernetes helps you think about applications in a different way. I said that paradigm has changed. It's Kubernetes that helps implement that paradigm. So that developers can write an application to a container orchestrator like Kubernetes and take advantage of many of the advances we've made below that layer in the operating system and in the Cloud itself. So from that perspective the game has changed and the way you write your application is not the same as a the monolithic app we might have written on an IBM or a traditional system. >> Dustin, you say monolithic app versus oh my gosh the multi layered cake that we have today. We were talking about the keynote this morning where CNCF went from four projects to 14 projects, you got Kubernetes, You got things like DSDU on top. Help up tease that a little bit. What are the ones that, where's canonical engaged? What are you hearing from customers? What are they excited about? What are they still looking for? >> In a somewhat self-serving way, I'll use this opportunity to explain exactly what we do in helping build that layered cake. It starts with the OS. We provide a great operating system, Ubuntu that every developer would certainly know and understand and appreciate. That's the kernel, that's the systemd, that's the hyperviser, that's all the storage and drivers that makes an operating system work well on hardware. Lot's of hardware, IBM, Dell HP, Intel, all the rest. As well as in virtual machines, the public Clouds, Microsoft, Amazon, Google, VM ware and others. So, we take care of that operating system perspective. Within the CNCF and within in the Kubernetes ecosystem, It really starts with the Kubernetes distribution. So we provide a Kubernetes distribution, we call it Canonicals Distribution of Kubernetes, CDK. Which is open source Kubernetes with security patches applied. That's it. No special sauce, no extra proprietary extensions. It is open source Kubernetes. The reference platform for open source Kubernetes 100% conformed. Now, once you have Kubernetes as you say, "What are you hearing from customers?" We hear a lot of customers who want a Kubernetes. Once they have a Kubernetes, the next question is: "Now what do I do with it?" If they have applications that their developers have been writing to Google's Kubernetes Engine GKE, or Amazon's Kubernetes Engine, the new one announced last week at re:Invent, AKS. Or Microsoft's Kubernetes Engine, Microsoft-- >> Microsoft's AKS, Amazons EKS. A lot of TLA's out there, always. >> Thank you for the TLA dissection. If you've written the applications already having your own Kubernetes is great, because then your applications simply port and run on that. And we help customers get there. However, if you haven't written your first application, that's where actually, most of the industry is today. They want a Kubernetes, but they're not sure why. So, to that end, we're helping bring some of the interesting workloads that exists, open source workloads and putting those on top of Canonical Kubernetes. Yesterday, we press released a new product from Canonical, launched in conjunction with our partners at Rancher Labs, Which is the Cloud Native platform. The Cloud Native platform is Ubuntu plus Kubernetes plus Rancher. That combination, we've heard from customers and from users of Ubuntu inside and out. Everyone's interested in a developer work flow that includes open-source Ubuntu, open-source Kubernetes and open-source Rancher, Which really accelerates the velocity of development. And that end solution provides exactly that and it helps populate, that Kubernetes with really interesting workloads. >> Dustin, so we know Sheng, Shannon and the team, they know a thing or two about building stacks with open source. We've talked with you many times, OpenStack. Give us a little bit of compare and contrast, what we've been doing with OpenStack with Canonical, very heavily involved, doing great there versus the Cloud Native stacking. >> If you know Shannon and Sheng, I think you can understand and appreciate why Mark, myself and the rest of the Canonical team are really excited about this partnership. We really see eye-to-eye on open source principles First. Deliver great open source experiences first. And then taking that to market with a product that revolves around support. Ultimately, developer option up front is what's important, and some of those developer applications will make its way into production in a mission critical sense. Which open up support opportunities for both of us. And we certainly see eye-to-eye from that perspective. What we bring to bare is Ubuntu ecosystem of developers. The Ubuntu OpenStack infrastructure is a service where we've seen many of the world's largest organizations deploying their OpenStacks. Doing so on Ubuntu and with Ubuntu OpenStacks. With the launch of Kubernetes and Canonical Kubernetes, many of those same organizations are running their own Kubernetes along side OpenStack. Or, in some cases, on top of OpenStack. In a very few cases, instead of Openstack, in very special cases, often at the Edge or in certain tiny Cloud or micro Cloud scenarios. In all of these we see Rancher as a really, really good partner in helping to accelerate that developer work flow. Enabling developers to write code, commit code to GitHub repository, with full GitHub integration. Authenticate against an active directory with full RBAC controls. Everything that you would need in an enterprise to bring that application to bare from concept, to development, to test into production, and then the life cycle, once it gains its own life in production. >> What about the impact of customers? So, I'm an IT guy or I'm an architect and man, all this new stuff's comin' at me. I love my open source, I'm happy with space. I don't want to touch it, don't want to break it, but I want to innovate. This whole world can be a little bit noisy and new to them. How do you have that conversation with that potential customer or customer where you say, Look, we can get there. Use your app team here's what you want to shape up to be, here's service meshes and plugable, Whoa plugable (mumbles)! So, again, how do you simplify that when you have conversations? What's the narrative? What's the conversation like? >> Usually our introduction into the organization of a Fortune 500 company is by the developers inside of that company who already know Ubuntu. Who already have some experience with Kubernetes or have some experience with Rancher or any of those other-- >> So it's a bottoms up? >> Yeah, it's bottoms up. Absolutely, absolutely. The developer network around Ubuntu is far bigger than the organization that is Canonical. So that helps us with the intro. Once we're in there, and the developers write those first few apps, we do get the introductions to their IT director who then wants that comfy blanket. Customer support, maybe 24 by seven-- >> What's the experience like? Is it like going to the airport, go through TSA, and you got to take your shoes off, take your belt off. What kind of inspection, what is kind of is the culture because they want to move fast, but they got to be sure. There's always been the challenge when you have the internal advocate saying, "Look, if we want to go this way "this is going to be more the reality for companies." Developers are now major influencers. Not just some, here's the product we made a decision and they ship it to 'em, it's shifted. >> If there's one thing that I've learned in this sort of product management assignment, I'm a engineer by trade, but as a product manager now for almost five years, is that you really have to look at the different verticals and some verticals move at vastly different paces than other verticals. When we are in the tele close phase, We're in RFI's, requests for a quote or a request for information that may last months, nine months. And then go through entering into a procurement process that may last another nine months. And we're talking about 18 months in an industry here that is spinning up, we're talking about how fast this goes, which is vastly different than the work we do in Silicon Valley, right? With some of the largest dot-coms in the world that are built on Ubuntu, maybe an AWS or else where. Their adoption curve is significantly different and the procurement angle is really different. What they're looking to buy often on the US West Coast is not so much support, but they're looking to guide your roadmap. We offer for customers of that size and scale a different set of products something we call feature sponsorships, where those customers are less interested in 24 by seven telephone support and far more interested in sponsoring certain features into Ubuntu itself and helping drive the Ubuntu roadmap. We offer both of those a products and different verticals buy in different ways. We talked to media and entertainment, and the conversation's completely different. Oil and gas, conversation's completely different. >> So what are you doing here? What's the big effort at CloudNativeCon? >> So we've got a great booth and we're talking about Ubuntu as a pretty universal platform for almost anything you're doing in the Cloud. Whether that's on frame infrastructure as a service, OpenStack. People can coo coo OpenStack and point OpenStack versus Kubernetes against one another. We cannot see it more differently-- >> Well no I think it's more that it's got clarity on where the community's lines are because apps guys are moving off OpenStack that's natural. It's really found the home, OpenStack very relevant huge production flow, I talk to Johnathon Bryce about this all the time. There's no co cooing OpenStack. It's not like it's hurting. Just to clarify OpenStack is not going anywhere its just that there's been some comments about OpenStack refugees going to (mumbles), but they're going there anyway! Do you agree? >> Yeah I agree, and that choice is there on Ubuntu. So infrastructure is a service, OpenStack's a fantastic platform, platforms as a service or Cloud Native through Cloud Native development Kubernetes is an excellent platform. We see those running side by side. Two racks a systems or a single rack. Half of those machines are OpenStack, Half of those are Kubernetes and the same IT department manages both. We see IT departments that are all in OpenStack. Their entire data center is OpenStack. And we see Kubernetes as one workload inside of that Openstack. >> How do you see Kubernetes impact on containers? A lot of people are coo cooing containers. But they're not going anywhere either. >> It's fundamental. >> The ecosystem's changing, certainly the roles of each part (mumbles) is exploding. How do you talk about that? What's your opinion on how containers are evolving? >> Containers are evolving, but they've been around for a very long time as well. Kubernetes has helped make containers consumable. And doctored to an extent, before that the work we've done around Linux containers LXE LEXT as well. All of those technologies are fundamental to it and it take tight integration with the OS. >> Dustin, so I'm curious. One of the big challenges I have the U face is the proliferation of deployments for customers. It's not just data center or even Cloud. Edge is now a very big piece of it. How do you think that containers helps enable the little bit of that Cloud Native goes there, but what kind of stresses does that put on your product organization? >> Containers are adding fuel to the fire on both the Edge and the back end Cloud. What's exciting to me about the Edge is that every Edge device, every connected device is connected to something. What's it connected to, a Cloud somewhere. And that can be an OpenStack Cloud or a Kubernetes Cloud, that can be a public Cloud, that could be a private implementation of that Cloud. But every connected device, whether its a car or a plane or a train or a printer or a drone it's connected to something, it's connected to a bunch of services. We see containers being deployed on Ubuntu on those Edge devices, as the packaging format, as the application format, as the multi-tendency layer that keeps one application from DOSing or attacking or being protected from another application on that Edge device. We also see containers running the micro services in the Cloud on Ubuntu there as well. The Edge to me, is extremely interesting in how it ties back to the Cloud and to be transparent here, Canonical strategy and Canonical's play is actually quiet strong here with Ubuntu providing quite a bit of consistency across those two layers. So developers working on those applications on those devices, are often sitting right next to the developers working on those applications in the Cloud and both of them are seeing Ubuntu helping them go faster. >> Bottom line, where do you see the industry going and how do you guys fit into the next three years, what's your prediction? >> I'm going to go right back to what I was saying right there. That the connection between the Edge and the Cloud is our angle right there, and there is nothing that's stopping that right now. >> We were just talking with Joe Beda and our view is if it's a shoot and computing world, everything's an Edge. >> Yeah, that's right. That's exactly right. >> (mumbles) is an Edge. A light in a house is an Edge with a processor in it. >> So I think the data centers are getting smarter. You wanted a prediction for next year: The data center is getting smarter. We're seeing autonomous data centers. We see data centers using metals as a service mask to automatically provision those systems and manage those systems in a way that hardware look like a Cloud. >> AI and IOT, certainly two topics that are really hot trends that are very relevant as changing storage and networking those industries have to transform. Amazon's tele (mumbles), everything like LAN and serverless, you're starting to see the infrastructure as code take shape. >> And that's what sits on top of Kubernetes. That's what's driving Kubernetes adoption are those AI machine learning artificial intelligence workloads. A lot of media and transcoding workloads are taking advantage of Kubernetes everyday. >> Bottom line, that's software. Good software, smart software. Dustin, Thanks so much for coming theCube. We really appreciate it. Congratulations. Continued developer success. Good to have a great ecosystem. You guys have been successful for a very long time. As the world continues to be democratized with software as it gets smarter more pervasive and Cloud computing, grid computing, Unigrid. Whatever it's called it is all done by software and the Cloud. Thanks for coming on. It's theCube live coverage from Austin, Texas, here at KubeCon and CloudNativeCon 2017. I'm John Furrier, Stu Miniman, We'll be back with more after this short break. (lively music)
SUMMARY :
Brought to you by: Red Hat, the Linux Foundation, This is for the Linux Foundation. You get the keys to the kingdom, I don't think I've heard that one. the action's happening on the product side. to do, when to ship product, not you got the You got to look inside, you got to look outside. There's the marketing angle too. What are the new things? But taking advantage of that and all the ways and the new way what changes from the old way? and the way you write your application is not the same What are the ones that, where's canonical engaged? Lot's of hardware, IBM, Dell HP, Intel, all the rest. A lot of TLA's out there, always. Which is the Cloud Native platform. We've talked with you many times, OpenStack. And then taking that to market with What about the impact of customers? of a Fortune 500 company is by the developers So that helps us with the intro. There's always been the challenge when you have is that you really have to look at We cannot see it more differently-- It's really found the home, OpenStack very relevant Yeah I agree, and that choice is there on Ubuntu. How do you see Kubernetes impact on containers? the roles of each part (mumbles) is exploding. All of those technologies are fundamental to it One of the big challenges I have the U face We also see containers running the micro services That the connection between the Edge and the Cloud We were just talking with Joe Beda Yeah, that's right. A light in a house is an Edge with a processor in it. and manage those systems in a way the infrastructure as code take shape. And that's what sits on top of Kubernetes. As the world continues to be democratized with software
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Matt Klein, Lyft | KubeCon 2017
>> Narrator: Live from Austin Texas. It's theCUBE, covering KubeKon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Welcome back everyone, live here in Austin Texas, theCUBE's exclusive coverage of CloudNativeConference and KubeKon, for Kubernetes' Conference. I'm John Furrier, co-founder of SiliconANGLE and my co-host Stu Miniman, our analyst. And next is Matt Klein, a software engineer at Lyft, ride-hailing service, car sharing, social network, great company, everyone knows that everyone loves Lyft. Thanks for coming on. >> Thanks very much for having me. >> All right so you're a customer of all this technology. You guys built, and I think this is like the shiny use cases of our generation, entrepreneurs and techies build their own stuff because they can't get product from the general market. You guys had a large-scale demand for the service, you had to go out and build your own with open source and all those tools, you had a problem you had to solve, you build it, used some open source and then give it back to open source and be part of the community, and everybody wins, you donated it back. This is, this is the future, this is what it's going to be like, great community work. What problem were you solving? Obviously Lyft, everyone knows it's hard, they see their car, lot of real time going on, lot of stuff happening >> Matt: Yeah, sure. >> magic's happening behind the scenes, you had to build that. Talk about the problem you solved. >> Well, I think, you know, when people look at Lyft, like you were saying, they look at the app and the car, and I think many people think that it's a relative simple thing. Like how hard could it be to bring up your app and say, I want a ride, and you know, get that car from here to there, but it turns out that it's really complicated. There's a lot of real-time systems involved in actually finding what are all the cars that are near you, and what's the fastest route, all of that stuff. So, I think what people don't realize is that Lyft is a very large, real-time system that, at current scale, operates at millions of requests per second, and has a lot of different use cases around databases, and caching, you know, all those technologies. So, Lyft was built on open source, as you say, and, you know Lyft grew from what I think most companies do, which is a very simple, monolithic stack, you know, it starts with a PHP application, we're a big user of MongoDB, and some load balancer, and then, you know-- >> John: That breaks (laughs) >> Well, well no but but people do that because that's what's very quick to do. And I think what happened, like most companies, is, or that most companies that become very successful, is Lyft grew a lot, and like the few companies that can become very successful, they start to outgrow some of that basic software, or the basic pieces that they're actually using. So, as Lyft started to grow a lot, things just didn't actually start working, so then we had to start fixing and building different things. >> Yeah, Matt, scale is one of those things that gets talked about a lot. But, I mean Lyft, you know, really does operate at a significant scale. >> Matt: Yeah, sure. >> Maybe you can talk a little bit about, you know, what kind of things were breaking, >> Matt: Absolutely, yeah, and then what led to Envoy and why that happened. >> Yeah, sure. I mean, I think there's two different types of scale, and I think this is something that people don't talk about enough. There's scale in terms of things that people talk about, in terms of data throughput or requests per second, or stuff like that. But there's also people scale, right. So, as organizations grow, we go from 10 developers to 50 developers to 100, where Lyft is now many hundreds of developers and we're continuing to grow, and what I think people don't talk about enough is the human scale, so you know, so we have a lot of people that are trying to edit code, and at a certain size, that number of people, you can't all be editing on that same code base. So that's I think the biggest move where people start moving towards this microservice or service-oriented architecture, so you start splitting that apart to get people-scale. People-scale probably usually comes with requests per second scale and data scale and that kind of stuff. But these problems come hand in hand, where as you grow the number of people, you start going into microservices, and then suddenly you have actual scale problems. The database is not working, or the network is not actually reliable. So from Envoy perspective, so Envoy is an open source proxy we built at Lyft, it's now part of CNCF, it's having tremendous uptake across the industry, which is fantastic, and the reason that we built Envoy is what we're seeing now in the industry is people are moving towards polyglot architectures, so they're moving towards architectures with many different applications, or many different languages. And it used to be that you could use Java and you could have one particular library that would do all of your networking and service discovery and load balancing, and now you might have six different languages. So how as an organization do you actually deal with that? And what we decided to do was build an out-of-process proxy, which allows people to build a lot of functionality into one place, around load balancing, and service discovery, and rate limiting, and buffering, and all those kinds of things, and also most importantly, observability. So things like tracing and stats and logging. And that allowed us to actually understand what was going on in the network, so that when problems were happening, we could actually debug what was going on. And what we saw at Lyft, about three years ago, is we had started our microservices journey, but it was actually almost, it was almost stopped, because what people found is they had started to build services because supposedly it was faster than the monolith, but then we would start having problems with tail latency and other things, and they didn't know hot to debug it. So they didn't trust those services, and then at that point they say, not surprisingly, we're just going to go back and we're going to build it back into the monolith. So, we're almost in that situation where things are kind of in that split. >> So Matt I have to think that's the natural, where you led to service mesh, and Istio specifically and Lyft, Google, IBM all working on that. Talk a little bit about, more about what Istio, it was really the buzz coming in with service mesh, there's also there's some competing offerings out there, Conduit, new one announced this week, maybe give us the landscape, kind of where we are, and what you're seeing. >> So I think service mesh is, it's incredible to look around this conference, I think there's 15 or more talks on service mesh between all of the Buoyant talks on Linker D and Conduit and Istio and Envoy, it's super fantastic. I think the reason that service mesh is so compelling to people is that we have these problems where people want to build in five or six languages, they have some common problems around load balancing and other types of things, and this is a great solution for offloading some of those problems into a common place. So, the confusion that I see right now around the industry is service mesh is really split into two pieces. It's split into the data plane, so the proxy, and the control plane. So the proxy's the thing that actually moves the bytes, moves the requests, and the control plane is the thing that actually tells all the proxies what to do, tells it the topology, tells it all the configurations, all the settings. So the landscape right now is essentially that Envoy is a proxy, it's a data plane. Envoy has been built into a bunch of control planes, so Istio is a control plane, it's reference proxy is Envoy, though other companies have shown that they can integrate with Istio. Linker D has shown that, NGINX has shown that. Buoyant just came out with a new combined control plane data plane service mesh called Conduit, that was brand new a couple days ago, and I think we're going to see other companies get in there, because this is a very popular paradigm, so having the competition is good. I think it's going to push everyone to be better. >> How do companies make sense of this, I mean, if I'm just a boring enterprise with complexity, legacy, you know I have a lot of stuff, maybe not the kind of scale in terms of transactions per second, because they're not Lyft, but they still have a lot of stuff. They got servers, they got data center, they got stuff in the cloud, they're trying to put this cloud native package in because the developer movement is clearly pushing the legacy guy, old guard, into cloud. So how does your stuff translate into the mainstream, how would you categorize it? >> Well, what I counsel people is, and I think that's actually a problem that we have within the industry, is that I think sometimes we push people towards complexity that they don't necessarily need yet. And I'm not saying that all of these cloud native technologies aren't great, right, I mean people here are doing fantastic things. >> You know how to drive a car, so to speak, you don't know how to use the tech. >> Right, and I advise companies and organizations to use the technology and the complexity that they need. So I think that service mesh and microservices and tracing and a lot of the stuff that's being talked about at this conference are very important if you have the scale to have a service-oriented microservice architecture. And, you know, some enterprises they're segmented enough where they may not actually need a full microservice real-time architecture. So I think that the thing to actually decide is, number one, do you need a microservice architecture, and it's okay if you don't, that's just fine, take the complexity that you need. If you do need a microservice architecture, then I think you're going to have a set of common problems around things like networking, and databases, and those types of things, and then yes, you are probably going to need to build in more complicated technologies to actually deal with that. But the key takeaway is that as you bring on, as you bring on more complexity, the complexity is a snowballing effect. More complexity yields more complexity. >> So Matt, might be a little bit out of bounds for what we're talking about, but when I think about autonomous vehicles, that's just going to put even more strain on the kind of the distributed natured systems, you know, things that have to have the edge, you know. Are we laying the groundwork at a conference like this? How's Lyft looking at this? >> For sure, and I mean, we're obviously starting to look into autonomous a lot, obviously Uber's doing that a fair amount, and if you actually start looking at the sheer amount of data that is generated by these cars when they're actually moving around, it's terabytes and terabytes of data, you start thinking through the complexity of ingesting that data from the cars into a cloud and actually analyzing it and doing things with it either offline or in real-time, it's pretty incredible. So, yes, I think that these are just more massive scale real-time systems that require more data, more hard drives, more networks, and as you manage more things with more people, it becomes more complicated for sure. >> What are you doing inside Lyft, your job. I mean obviously, you're involved in open source. Like, what are you coding specifically these days, what's the current assignment? >> Yeah, so I'm a software engineer at Lyft, I lead our networking team. Our networking team owns obviously all the stuff that we do with Envoy, we own our edge system, so basically how internet traffic comes into Lyft, all of our service discovery systems, rate limiting, auth between services. We're increasingly owning our GRPC communications, so how people define their APIs, moving from a more polling-based API to a more push-based API. So our team essentially owns the end-to-end pipe from all of our back-end services to the client, so that's APIs, analytics, stats, logging, >> So to the app >> Yeah, right, right, to the app, so, on the phone. So that's my job. I also help a lot with general kind of infrastructure architecture, so we're increasingly moving towards Kubernetes, so that's a big thing that we're doing at Lyft. Like many companies of Lyft's kind of age range, we started on VMs and AWS and we used SaltStack and you know, it's the standard story from companies that were probably six or eight years old. >> Classic dev ops. >> Right, and >> Gen One devops. >> And now we're trying to move into the, as you say, Gen Two world, which is pretty fantastic. So this is becoming, probably, the most applicable conference for us, because we're obviously doing a lot with service mesh, and we're leading the way with Envoy. But as we integrate with technologies like Istio and increasingly use Kubernetes, and all of the different related technologies, we are trying to kind of get rid of all of our bespoke stuff that many companies like Lyft had, and we're trying to get on that general train. >> I mean you guys, I mean this is going to be written in the history books, you look at this time in a generation, I mean this is going to define open source for a long, long time, because, I say Gen one kind of sounds pejorative but it's not. It's really, you need to build your own, you couldn't just buy Oracle database, because, you probably have some maybe Oracle in there, but like, you build your own. Facebook did it, you guys are doing it. Why, because you're badass, you had to. Otherwise you don't build customers. >> Right and I absolutely agree about that. I think we are in a very unique time right now, and I actually think that if you look out 10 years, and you look at some of the services that are coming online, and like Amazon just did Fargate, that whole container scheduling system, and Azure has one, and I think Google has one, but the idea there is that in 10 years' time, people are really going to be writing business logic, they're going to insert that business logic >> They may do a powerpoint slides. >> That would be nice. >> I mean it's easy to me, like powerpoint, it's so easy, that's, I'm not going to say that's coding, but that's the way it should be. >> I absolutely agree, and we'll keep moving towards that, but the way that's going to happen is, more and more plumbing if you will, will get built into these clouds, so that people don't have to worry about all this stuff. But we're in this intermediate time, where people are building these massive scale systems, and the pieces that they need is not necessarily there. >> I've been saying in theCUBE now for multiple events, all through this last year, kind of crystallized and we were talking about with Kelsey about this, Hightower, yesterday, craft is coming back to programming. So you've got software engineering, and you've got craftsmanship. And so, there's real software engineering being done, it's engineering. Application development is going to go back to the old school of real craft. I mean, Agile, all it did was create a treadmill of de-risking rapid build scale, by listening to data and constantly iterating, but it kind of took the craft out of it. >> I agree. >> But that turned into engineering. Now you have developers working on say business logic or just solving, building a healthcare app. That's just awesome software. Do you agree with this craft? >> I absolutely agree, and actually what we say about Envoy, so kind of the catchword buzz phrase of Envoy is to make the network transparent to applications. And I think most of what's happening in infrastructure right now is to get back to a time where application developers can focus on business logic, and not have to worry about how some of this plumbing actually works. And what you see around the industry right now, is it is just too painful for people to operate some of these large systems. And I think we're heading in the right direction, all of the trends are there, but it's going to take a lot more time to actually make that happen. >> I remember when I was graduating college in the 80s, sound old but, not to date myself, but the jobs were for software engineering. I mean that is what they called it, and now we're back to this devops brought it, cloud, the systems kind of engineering, really at a large scale, because you got to think about these things. >> Yeah, and I think what's also kind of interesting is that companies have moved toward this devops culture, or expecting developers to operate their systems, to be on call for them and I think that's fantastic, but what we're not doing as an industry is we're not actually teaching and helping people how to do this. So like we have this expectation that people know how to be on-call and know how to make dashboards, and know how to do all this work, but they don't learn it in school, and actually we come into organizations where we may not help them learn these skills. >> Every company has different cultures, that complicates things. >> So I think we're also, as an industry, we are figuring out how to train people and how to help them actually do this in a way that makes sense. >> Well, fascinating conversation Matt. Congratulations on all your success. Obviously a big fan of Lyft, one of the board members gave a keynote, she's from Palo Alto, from Floodgate. Great investors, great fans of the company. Congratulations, great success story, and again open source, this is the new playbook, community scale contribution, innovation. TheCUBE's doing it's share here live in Austin, Texas, for KubeKon, for Kubernetes conference and CloudNativeCon. I'm John Furrrier, for Stu Miniman, we'll be back with more after this short break. (futuristic music)
SUMMARY :
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Joe Brockmeier & Kimberly Craven | KubeCon 2017
>> Narrator: Live from Austin, Texas, it's The Cube covering KubeCon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and The Cube's ecosystem partners. >> Welcome back, everyone. Live here, The Cube's exclusive coverage in Austin, Texas. This is CloudNativeCon and KubeCon for Kubernetes Conference. I'm John Furrier, Stu Miniman. My next two guests from Red Hat, Joe Brockmeier, senior evangelist, Linux Containers, Red Hat and Kimberly Craven, Director of Portfolio Marketing at Red Hat. Welcome to The Cube, good to see you guys. >> Thank you, good to see you, too. So I was saying at re:Invent last week that Red Hat's stamp of approval has always been in the enterprise. You guys are, you know, winning the enterprise, been there for years. But now, at Cloud Native, kind of things are coming together. You've got a lot of customers that have been, I won't say quietly going with Red Hat with OpenShift, and now with Kubernetes. Huge bet a few years ago. >> Mmhmm. >> Yep. >> Only two years ago. Kind of changed the game. >> Yeah, fortunately we made a strategic decision to replatform our own platform on Kubernetes and it was the right decision to make. So we've been lucky in that we've been able to, I'd say we've been able to invest in the right open source projects. So Joe, would you agree that over the years, I mean, starting with Linux. >> Yep. >> But in other technologies as well? >> Yeah, historically, I think we, not every, not 100% of the time, but a large enough percentage of the time, picked the right horse community wise. Open Stack, now Kubernetes, Linux-Colonel, obviously. I used to work for a company called LinuxMall and we sponsored these Linux pavilions. And I remember NetBSD guys telling me how Linux was doomed because it wasn't as elegant. >> Doomed, it sure didn't turn out that way. But certainly, the community model has changed. You're starting to see, you know, Dan Cohen, in his opening slide, actually kind of laid out the circle of innovation, project, products and profit. >> Joe: Yeah. >> And so now, it's okay to have profitability objectives as an outcome of great products. And so still bringing in the culture of innovation because the business market for this is pretty large. I see the number of people coming on board. The demand is pretty strong. >> Not just innovation, but I think, one of the important things about Kubernetes is that is has been a community project where it's a community of equals contributing to the project. And it's about each company bringing the right thing for the project, not the right thing necessarily just for that company, but the right thing for the overall project, which is really important. >> Timing's everything, right? I mean, as they say in life, but remember, all that FUD about past layers and infrastructures as a service, and again, the DevOps community was still growing. No one really talks about that anymore because people just want working software. >> Joe: Right. >> Right? So it's fun not to have those kind of conversations. Instead, the conversation's about how to orchestrate great workloads, how to onboard and accelerate more application developers. This is the narrative that we wanted a couple years ago. Now it's here. What are you guys doing at Red Hat to take that to the next level? >> Kimberly: So I'm going to defer to Joe for that one. >> Joe: Okay. To take that to the next level. First, before people can get to the next level, one thing I want to point out is that while everybody here is hip deep in Kubernetes and they're ready, there are a lot of companies out there that are still digesting virtualization and still digesting cloud. >> Kimberly: Right. >> Private or public, and so one of our key roles is actually to help them consume open-source software and get from Point A to Point B. So the role that we're really playing right now is about taking customers with their workloads today that are running on bare metal, that are running on virtualization, that are pet workloads, right? And getting those into the cloud and getting in those into Kubernetes and that sort of thing. So the next level for a lot of folks is actually getting up to speed to the things that were announced today. >> Right. >> Well the question I want to ask, that I want to get this on the record, 'cause it's important to get the definition, what does Kubernetes mean to the enterprise? For us in Cloud Native, we understand what it is, we get it, but to the enterprise customer, what does Kubernetes mean to them? So I would say, based on the customer conversations that we've had, it's all about getting your workloads to the cloud and being more cloud native much more quickly. So that's the end goal for adopting containers and adopting Kubernetes. It's all about getting to be in a position where you can migrate your workloads to the cloud but also develop new on the cloud much more quickly than you could before. So it's about automating, it's about all of the processes behind that, if you will. >> Joe, comment? >> I agree with everything Kimberly said. I would also just add I think it's really about kind of an almost an end-stage of software packaging, which is something that Red Hat has been doing for 20+ years, is figuring out how do we take goodness of software, open-source software, and get it into a consumable format? First it was RPM, then it was YUM, now it's containers, now it's orchestrated containers that are, you know, able to be worked on with service mesh and all these other wonderful things, cloud native storage. It's basically about taking that software and making it scale. >> Yeah, I mean, yours is a service mesh. So let's take it to the next level of customer conversation. I love this stuff, I'm going to the cloud as soon as possible. I got some stuff in the public stuff now, I got a lot of on-premise stuff activity, I love hybrid cloud. So I got a lot of different use cases. I got some bare metal, I got some hybrid cloud and I got some public cloud. Is this where the OpenShift fits in? I mean, in that environment of a customer conversation, what's the current state of the art for Red Hat to engage that customer? >> So organizations, they're taking inventory of everything that they have today. So they're looking at what do they have on bare metal today, what do they have in virtualization, what different workloads do they have and where does it make sense to deploy them both financially and from an advancement perspective? Because some workloads don't have to be, they don't have to be advanced as quickly. You don't have to make additional updates. But there are other workloads that are moving much more quickly. And one of the things that Red Hat does and where we help our customers, especially with OpenShift, is we allow them to deploy those workloads across, whether they're going to on-premises with a bare metal if you say, or as well as virtualization, private cloud, potentially a mixture of multicloud environment where they have some workloads going to Google, some workloads going to AWS, and some going to Azure. It's being able to do that consistently, that OpenShift for guidance. >> Is that a common use case right now? Is that the number one use case, this hybrid? >> So when you say that, the hybrid cloud, it's not, it's a combination of multiple use cases. People aren't necessarily looking just yet to take the same workload and move it such that it's spanning multiple clouds, but they want to have that flexibility so that if they choose to go to a certain public cloud, and it becomes it's not cost-effective for them to do so anymore, they want to be able to take that workload and move it. And that's what we're working towards. >> Joe, I got to ask about OpenShift because, you know, we've been following you guys since the Open Stack days and now with the formation of this, seeing nice lines of sight of value proposition. What's going on with OpenShift? We're hearing a lot of good customer wins, a lot of people are using it. I heard a comment in the hallway saying that OpenShift has more customers than most of these vendors here combined. I'm not sure I believe that, that might have been just kind of chatter, but is that true or can you share the success? Because it's been on a tear. What are some of the OpenShift success points? >> Kimberly: Well-- >> So is it true there are more customers than all everyone else combined? >> I'd like to say so, I mean-- >> John: Pretty close or-- >> You were at Red Hat Summit this past year back in the May timeframe and we had many OpenShift customers that were on stage. I mean, it was-- >> John: You got lots. >> Yeah, we had to turn sessions away from customers because we didn't have enough room for them. >> So one of the things we actually haven't gotten to highlight yet at this event, Red Hat does, at a lot of these shows, ahead of the show, it's called OpenShift Commons, maybe you can give our audience a little bit of what goes into that. 'Cause all the container shows, the Cloud Native shows, you know, OpenShift has been there. >> Yeah, with OpenShift Commons, it's a great way for the community to collaborate around OpenShift specifically. It's, whether it be with our ISVs, working with our ISVs on different plugins to extend OpenShift as well as our customers to be able to provide us with feedback in terms of what they're looking for. And then we take that to the community. For example, Clayton was a top contributor. That was announced yesterday. >> Yes, Clayton got an award offered for that on stage, yeah. >> Yeah, and in essence, our customers are providing feedback to us directly in OpenShift Commons and in other forums. And that allows us to steer the community more effectively to meet their needs. >> I just want to add it's not a two-way conversation with Commons. It's also, you know, I was also there on Tuesday when we did Commons and we had Tellus, for example, telling their story to the other customers in the room. And so they're not just telling us, like, hey, this works for us, this doesn't work. They're telling each other and they're sharing successes, which is part of the wonder of open sourcing community. It's not just about, you know, you can have, I don't want to use an example, you can have a two-way conversation with any vendor that's taking your money. How many vendors are bringing you together to talk to your other customers? You have to have a lot of confidence, I think, in people being happy with your solution to build something out like that. >> Yeah, and experience, too. You guys had the experience. >> Yeah, you mentioned, we were right about that time, we'd been there a number of years. I feel the open source community is a little bit better at allowing those customers to kind of come forward. Because not only are they using it, they're usually contributing to some of these technologies. Some traditional shows, you know, getting a customer to get up on stage is pretty challenging. Any comments on that? >> Well it's funny because I think it's getting much easier, moving forward, for customers to participate in the communities, as you'll see with Netflix, for example. They were up on stage earlier and talking about the contributions that they're also making to the community. I think that it's much easier than it was even, I'd say, 5-10 years ago. With that said, there are a lot of customers that want help in terms of creating additional functionality in the community where they might have something that's, perhaps, not quite ready, not quite good enough, that we help to shepherd. >> Is there a profile of customer that's adopting Kubernetes? I mean, I've seen a lot of media coverage, obviously Netflix is on AWS. ACHB on stage today. Is it coincidental that there'd be two large big media online kind of companies, or-- >> Well, it's funny you should ask that because we're conducting a research project and we recently got some data back where we, in essence, sent out a survey to customers and non-customers to see where their adoption was. What we're finding is financial services, the media, communications organization, government, and even healthcare, to some extent, are taking a look at and adopting. I'd say that, based on the adoption curve, what's funny to note is, with government, government started looking, on average, at containers three years ago, whereas with financial services, they started to get more heavily invested, now this is in general, if you're looking at the median, two years ago. With that said, I think that financial services is actually adopting containers more quickly than government is. >> I'd love to see the data on that survey because we're always doing kind of probing, anecdotal kind of stirrup holes, friends and guests of The Cube. And it's the trend, from our standpoint, is that it seems that anywhere that there's been this transformation opportunity. >> Kimberly: Mmhmm. >> I mean, look at government. Who would've though public sector could be so fast and change? So public sector, media and entertainment, people with their modernizing seems to be where the action is. But financial services is always going to be on the IT dollar spend. But like, I mean, I'm really surprised at how fast public sector is evolving. >> And what's interesting about it, too, is also the industries that are predominantly concerned with security. Security and performance are very important to financial services and to government and to communications. And it's interesting how quickly this technology is being adopted with those considerations. >> Joe, one of the things coming into the show, I listened to some previews and they're saying, you know, we're not even going to talk about containers of the show. Of course, there's containers kind of underneath. Maybe speak a little bit about that dynamic. Red Hat, you know, so heavily involved. You know, of course Linux containers, you know, underneath there. Compare and contrast to kind of what we're kind of doing here in the Kubernetes and Cloud Native space. >> Yeah, so it really isn't about the individual container anymore than five years ago it was about the individual RPM. The container runtime and the ability to spin up a container is table stakes. And so that is no longer really where the value is. Same as like, hypervisors in cloud. Like, the real value is not in the hypervisor. It's around that, it's the ecosystem around it and the ability to do it. So yeah, I mean, we're still talking about, it's funny, when I have conversations, not here, but in other places, the parlance is still to say containers when they really mean, you know, like Kubernetes and orchestration, the whole schmear. But yeah, it's not where the value and the action is these days. >> Where's the Red Hat situation with the people now? Because we've seen, we've noticed, that you guys have really kind of continued to evolve as a company. Obviously, I mean, or in the early days of Red Hat, open source wasn't tier one. You guys made it tier one as a culture, that's well-documented. But then there's a whole new Red Hat mojo going on now. OpenShift, seeing you bringing that same principles. Talk about what's going on in the company now. We've seen a lot of smart people continuing to do the Red Hat thing. What is Red Hat now in the marketplace? The same old Red Hat? What's different, what's the same? 'Cause you guys are doing really well. >> Kimberly: Mmhmm. >> What's it like there? >> I think, I've been at Red Hat for about six years and I would say that the culture has continued to evolve since I joined. One of the things that first attracted me about it was that there are a lot of smart people that work at Red Hat and it's a very collaborative culture. It's a culture that's based on meritocracy and the best ideas truly win. So very similar to the way that OpenSource projects are run or should be run, for the good OpenSource projects, it's very much about getting people together, hearing what everyone has to say, and making sure that the right ideas are the ones that move forward. >> John: Surely they attract great people, too. >> Yeah. >> To build on that, in this industry there's so much kind of hype, boom and bust. On the outside, you look at it, I mean, from a financial standpoint, Red Hat's one of the most consistent performers out there. You know, quarter after quarter, Kim talks about the growth. So you know, I'm not asking you to talk about the financials but, you know, worth a show. Nobody here can keep up with all the changes. So you know, just, when you talk about all these projects and everything, Red Hat, can you keep up with the changes? Or is it just that you've got so many people and contribute so many places? >> We're working on it and I think, I mean, the nice thing about it is that everybody's very passionate about all of those changes that are happening. And we like change, oddly enough, we embrace it. It's interesting, but that's one of the parts of being at Red Hat. And I'd say, I mean, I would think that that's something that's inherent to us. >> Well, I mean, our corporate mission, part of our corporate mission is to be the catalyst for change and communities. And we, you know, I've worked at a couple of larger companies and this is the only one where I feel like if I don't agree with something I can send an email directly to Jim and say, "I don't agree with this and I think we should do something different." >> And he'll respond within four hours. >> And Jim will respond unless he's on a plane. >> Yeah, he'll respond and you know, even if they don't agree, which is impossible, everybody always agrees with me. (group laughs) But even if they don't agree, you know, they engage honestly and respectfully, and that's super important in this kind of industry. If you can't do that, you can't run with open source. >> Joe, Kimberly, thanks for coming on The Cube, and continued success and thanks for all the Red Hat contribution. You guys are doing a great job in the community. Continue to appreciate it. >> Thank you. >> Red Hat, here on The Cube, continuing to do the Red Hat thing. Red Hat, stamp of approval from the enterprise. Certainly well-respected and the leader inside The Cube here at the CloudNativeCon and KubeCon for KubernetesCon, not Cube. I'm John Furrier, Stu Miniman. We'll be back with more after this short break. (upbeat music)
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Brought to you by Red Hat, the Linux Foundation, Welcome to The Cube, good to see you guys. has always been in the enterprise. Kind of changed the game. in the right open source projects. not every, not 100% of the time, You're starting to see, you know, And so still bringing in the culture of innovation just for that company, but the right thing and again, the DevOps community was still growing. This is the narrative that we wanted a couple years ago. To take that to the next level. and so one of our key roles is actually to help them consume it's about all of the processes behind that, if you will. now it's orchestrated containers that are, you know, I got some stuff in the public stuff now, And one of the things that Red Hat does it's not cost-effective for them to do so anymore, Joe, I got to ask about OpenShift because, you know, back in the May timeframe Yeah, we had to turn sessions away from customers So one of the things we actually the community to collaborate around OpenShift specifically. offered for that on stage, yeah. our customers are providing feedback to us directly telling their story to the other customers in the room. You guys had the experience. I feel the open source community is a little bit better the contributions that they're also making to the community. Is it coincidental that there'd be and even healthcare, to some extent, And it's the trend, from our standpoint, on the IT dollar spend. and to communications. I listened to some previews and they're saying, you know, and the ability to do it. Where's the Red Hat situation with the people now? and making sure that the right ideas On the outside, you look at it, I mean, It's interesting, but that's one of the parts I can send an email directly to Jim and say, But even if they don't agree, you know, and thanks for all the Red Hat contribution. continuing to do the Red Hat thing.
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Ben Sigelman, LightStep | KubeCon 2017
>> Narrator: Live from Austin, Texas. It's theCUBE, covering KubeCon and CloudNativeCon 2017. Brought to you by Red Hat, the Linux Foundation, and theCUBE's ecosystem partners. >> Hey, welcome back everyone, we're here live at theCUBE in Austin, Texas for KubeCon 2017, 2nd annual conference of the Kubernetes Conference, I'm John Furrier, here with my co-host, Stu Miniman, Ben Sigelman, who's the CEO of LightStep, welcome to theCUBE. >> Thank you so much. >> So you're also involved in open tracer, all this stuff with service mesh, really instrumental tech work going on right now. >> Mmhmm, yep. >> With this KubernetesCon, I mean Kubernetes has been successful. People are now learning for, the first time in mainstream, but it's really galvanized the community. At many levels, and I haven't seen this much action and so fast, up and down the stack. You know, you got the infrastructure plumbing guys, and you got the app plumbing guys all building really, really fast. What's the state of the union? Give us a peak of what's happening, what's solid, what's foundational? What are the building blocks that are being built on and what's the current task of jobs being worked on projects and what not? >> Yeah, and that's a great question. I was, emerged my hotel room yesterday just to get on the elevator and Kelsey Hightower emerged from his hotel room, turns out two doors down from me, and we're walking to the elevator together, I'm like, "Hey! You know, so, what's your big announcement?" He's so good on stage, he's a brilliant communicator, and he's like, you know, honestly, the big news right now, is that actually there's not that much news from a release standpoint about Kubernetes, which is actually a really big deal. It's gotten to the point where it's feature set is actually appropriate and somewhat stable. And now we finally are at the point where it's, I think, it has a really natural architecture for plugins and extensions and now we can build this entire ecosystem around it, instead of building around something that's a bit of a moving target. I think it's incredible how, it is truly incredible, to see this conference over the last couple of years. >> So Pete's foundational elements are in place. >> Yeah. >> That's his, kind of his... >> Yeah, exactly. And it's incredible to see how much of, not just a commercial ecosystem, but a technology ecosystem, that's built around those primitives, and so I think those really are the right primitives, to democratize the pieces that should be democratized, and to centralize the pieces that should be centralized. So to me, this year is really about going a level up in the stack, and delivering value that's beyond, you know, the container, Kubernetes level, and that's what a lot of the projects that I'm excited about are doing. >> Yeah, so Ben, and that leads right into one of the things that we've been talking about all week here, service meshes. >> Ben: Yeah. >> So, you gave a keynote yesterday, maybe give our audience a little bit about service meshes, servibility, and there's something about a pigeon? >> (laughs) Yeah that was very funny. Just the reference about the pigeon, the first slide in my talk was a picture of a murmuration of starlings, this beautiful cloud of birds moving in harmony, and while I was waxing on about how this represented microservices, an actual bird flew above me on stage. There was a pigeon trapped in this room `(laughter) and so everyone started laughing, I didn't know what was so funny, I'm like... >> Jeez. What a great demo. >> ...like what did I do wrong? Do I have a note on my back or something? And then the hilarious thing is the second slide was actually the operational experience of deploying this sort of microservice technology is actually very difficult, and so it was this slide from Alfred Hitchcock's "The Birds," with these birds attacking this poor child. And so, and the bird is still circling around above me. It was perfect stagecraft, I wish I had tried to do it, it would have been amazing to take credit for arranging an actual live animal as part of my presentation. But in terms of the actual material in the presentation, which may be less entertaining than the bird flying around my head, but the material of the presentation is something I feel very strongly about, and I alluded to this a moment ago, I think that containers are incredibly important, I think Kubernetes is incredibly important, and I am extraordinarily confident that in ten years, they're going to be everywhere. That said, they're not something an application developer really should care that deeply about as part of their job of writing business logic for the service that they are maintaining and developing. That shouldn't be a layer that they care about. And there are a lot of really, really important problems that crop up at the application layer. At Google, the way we addressed this, was by having not a monolithic architecture, but a monolithic software repository where everyone developed the same code base, but one of the things that I thought was interesting was being at Google, if you wanted to deploy an application, even something that just printed out 'Hello, world' or something, it was like a 150 megabyte binary, because there's so much stuff that was crammed in to level 7, user level stuff, and that was right for Google, it's not really the best architecture for a lot of enterprises out there and I think what's so cool about service mesh, is that it's taken a bunch of really, genuinely hard computer science problems, like service discovery, connection, and load balancing, and reconnection, health checks, security and authentication, observability and tracing, these are really hard things to do well, and it's factored them off into a side car that you can run alongside ordinary applications that were not even developed with that in mind and take advantage of these application level, level 7 primitives. We've had people who are trying to build solutions for any number of managerial and monitoring tasks at the container level, where often that stuff is completely obscured. Like by the time you're at the kernel that you can't see any of this stuff. If you're up at level 7 in the service mesh, you have easy access to application level data, which makes everything a lot more elegant and straightforward for developers, so it's like, to me, it's this single point of integration that removes a bunch of hard computer science problems from ordinary application development. >> And so people were stuffing containers basically and trying to overdrive that. Makes total sense architecturally and I want you to take a step back and kind of unpack that a little bit. We didn't get here by accident. We got here through real hard work, I mean people were out there building from open-source large-scale systems. >> Yeah. >> Uber, Lyft, there's a handful of other examples. What was the driver around this, because you're talking about a really elegant architecture that allows for solving a problem for the guys that solve their own problems. Thousands, hundreds of thousands of transactions, services, millions of transactions per second. >> Yup. >> So this was not like "Hey, let's just design a new system!" It was some scar tissue. >> Yeah. >> How does that connect to like, reality now for, whether it's a start-up saying "Hey, you know, we're a couple of years old, we're on AWS, and we're growing, and I want to add more value, but I don't want to relearn machine learning, I want to build on all this stuff and create business value from my enterprise, growing an enterprise. Or, big enterprises, trying to be cloud enabled. So that's, how should someone think about that? And what specifically was the problem that was solved? >> Yes. Well, I'm an obsessive person, I'll admit that. And I'm personally obsessed with performance, and so when I think about this, I actually think about profiling the engineers who are building this stuff. You have developers, let's profile them, like what are they spending their time on? 'Cause that's really a precious resource right now, right? It's like, it's hard to even hire people fast enough, right? So if you think about profiling people, you have folks that are spending a lot of time trying to get their services communicated properly, to authenticate, to observe these systems, in a way that's sane. And so it's only natural you try to factor that out and make that factored out. You try to amortize the cost of solving that problem across your entire organization. And I think that you've seen people who've been at other companies, and want to recreate something like what they had at Google or Facebook or Twitter or what have you, but they want to do it in a way that meshes with their existing systems. I'm actually not surprised that super, super young companies that are starting with the true green field code base, move in this direction. What has been interesting to me, and although I shouldn't say surprising, this is actually very rational, but you also have companies that are much larger, and we, LightStep has, we have customers that are running a mainframe, alongside legacy Java VMs, alongside microservices, and they're all working in concert to the service application requests from end users. And these things need to talk to each other, and I think what's actually really fun for me, Google gets a lot of credit for building things the right way, I don't know if that's accurate for not, but it's really funny 'cause the problem is actually a lot more interesting outside of Google, because you have to integrate with a much larger surface area and the thing that's so exciting to me about a lot of the technologies that are really taking off here, is that they're designed for that kind of heterogeneity, certainly I've talked about service mesh a million times already here, open tracing also exists specifically because of heterogeneity, we didn't need open tracing at Google because everything was perfectly factored, so it was unnecessary. Outside of Google, it's necessary to have a common API to describe transactions as they propagate, because otherwise, you can't make sense of anything that's happening in your application. This sort of heterogeneity has encouraged projects that standardize at the right layer, and I think those are the ones that are proliferating. >> What is service mesh about now? I mean, how would you describe it, I mean, how would you define, in the world of Kubernetes, in the world we're talking about, for someone just getting, tech person, just getting started. What's the hubbub about with service mesh? What is it? >> Well, I mean, I think at the most basic level, it's something that sits in between any two processes that are communicating in your system, and it sits in between them at a layer where you can observe the application itself. Like, you're able to access application levels, security information application level, primitives like, you know, the particular path you're hitting for any HTP requests, something like that. It's something that sits in between at that layer. Because microservices, you know, I've seen Lyft up close 'cause they're also a customer for LightStep, and to see Envoy deployed at their company is really instructive. It's amazing, I mean it's really amazing. They went from having no integration with our product to having 100% integration with our product by flipping a configuration bit to on, you know. Actually it wasn't even on, they could do it by percentage, I mean, they can roll these things out with perfect, perfect precision. And, I mean, it's an incredibly powerful thing to be able to have that kind of leverage over an entire architecture and that didn't require all their developers to redeploy. This system required the service mesh to redeploy, so you make these sorts of changes without touching application CSCD stuff, you can do all these infrastructural level changes independently from application pushes-- >> All right, >> And that's very powerful. >> So, so hold on, I know Stu wants to get a question in, but let's stop there for a second. Compare and contrast what the old way would have been. >> Stu: Yeah. What would it have taken to do this similar concept that full team had met, assuming they had another architecture. >> I've seen, I mean, you know- >> John: Months, weeks, redeploys... >> So, you know, the model that I've seen at Google where would we make changes to software that was linked into every application would go out with the next release, we would make that change in some central place, I'd say 50% of the services would be deployed within a week, 90% within two weeks, but to get to 99% would take over a year, and so the issue is if you need a change that's going to cut across your entire system, it is not feasible to wait for people to redeploy because there are going to be services that are not being maintained by human beings anymore, and no one's about to volunteer for that chore- >> John: It's a nightmare basically. >> Of reintegrating, taking in months of code changes, making sure it still works and deploys. >> Yeah, they're going to quit right there. I mean, no one wants that. >> It's infeasible. >> Yeah, it's not feasible. >> Ben, I wanted you to be able to share a little bit about founding LightStep, you know what's kind of the need in the market, and what you're seeing from your early customers. >> Sure, LightStep is, it has a pretty simple mission. We aim to deliver insights about very complex production software, which is commonplace at this point. Anyone who's building a meaningful business is building meaningful production software, and that means it's complicated. So that's what we want to do. The way that we're doing that with our first product, LightStep XPM, is by delivering root cause analysis for the symptoms that are of most interest to these businesses, regardless of their application or architecture, as I said earlier, we have customers that run mainframes as well as microservices at the same time, multi-cloud, it doesn't matter. We follow transactions across these distributed services and use those to explain behaviors that they're puzzling over and help them with performance analysis and root cause analysis. >> And what's the relationship between the open source projects and... >> That's a great question. It's not a normal open core model. Open tracing is really an API project that's designed to ease integration with any number of vendors, and open tracing is supported by LightStep of course, but also by Jaeger, and CNCF, it's compatible with Zipkin, it's supported by New Relic and Datadog, I'll give a shoutout to some competitors. We're all in this together in the sense that I think we see that we all have a much bigger market as things like open tracing proliferate, and make it easier to actually observe your own system. I would love to compete in the playing field of solutions and not worry so much about integration, so open tracing is an integration project, it's not our core technology. Our core IP is something that's very powerful, that's designed to absorb a lot of information about these distributed systems and deliver value about that. >> And when I look at your website, and see kind of some of your early customers, I mean, jump out, you know, Lyft, Twilio, Digital Ocean, I mean, these are not kind of your typical companies, is it, you know, fully kind of cloud-native, you know, horn of the web, type companies? >> I'm really glad you asked that. No. >> Stu: Yeah. >> I mean, most of our customers at this point are, have actually never seen a full microservice deployment, certainly not at one of customers. It's always a combination of a monolith in the middle and microservices on the outside, but a lot of our customers are more traditional enterprises that we haven't put on our website for logo rights reasons, but they get a lot value out of the solution, I would say even more value in some cases because they're dealing with a greater diversity of technology generations they need to cut across. >> Yeah, I want to go back. You mentioned the time for people these days and you talk about developers and people building, the fight for talent is huge out there. What are you seeing in your customers? Is that something that you help? How's kind of that interaction? >> Yeah absolutely, I mean, I think, Digital Ocean says they're saving, I think 1000 engineer hours a month or something like that on LightStep. It's a huge timesaver for people who are trying to get to the bottom of issues. So it's a labor issue, but also root cause analysis, I mean, every second counts. Seconds cost hundreds of thousands of dollars for some of our customers for any big outage, and so we help people get those, Twilio's addressing the instance 92% faster after using LightStep, so it's a big change to their root cause analysis. >> Yeah, there was a great quote I saw that said, "When something goes wrong, it used to be you knew, now it turned into a murder mystery." >> Yeah. (laughter) >> Tell the story of why did you start the company. Was there an itch you were scratching? You saying, "Hey, you know, I've seen this movie before, I want to get out there, help customers, I mean, I heard, your mission is really straightforward, clean, good positioning. Why start the company? What was the rationale? What was the motivation? >> That's a very easy one for me. I mean, the reason I left Google was not necessarily to start a company per se, it was that I wanted to have as much of an impact on the industry as I could, I wanted to see things, not just make money and siphon cash away from companies, but actually to change the way that software is built. And the first act for us, this product, is a way for us to kind of get into the tendril, get our system deep into the fabric of an application, and from that point, I'd like to see LightStep really change the way people build software. I think people right now, it's almost like everyone's programming an assembly. Like we're all trying to operate this level that's totally inappropriate, and I'd love to see LightStep be a part of this story for making the industry move up the value chain and really focus on building applications, and that's what I want to see us do. >> You know, we've been saying, first, we have a similar mission along our media business, but one of the things we're seeing, we go to all the shows, sometimes it's like, why is theCUBE covering, you know, Node.js, or why are you covering Hadoop in 2010, why are you, because we see it early, we get in early, as I said, we can see the innovation, we like it, but I got to tell you, we've been seeing recently, I've been seeing it specifically, we see a huge renaissance in software development companies. >> Yeah, for sure. >> And my piece is, I want to test this with you because I think this is going to change the culture, certainly in Silicon Valley and around the world. Certainly with open source is exponentially growing, you know, Zemlin puts that stat up pretty clear. All software development models was crafty and built a product you QA and you'd ship it, it either worked or it didn't work, put some art to it, around ownership, and then AdJail derisked that risk, but you can get it to the market quicker, and you listen to the data, you learn from the data, but it kind of took the craft out of it. You know what I'm saying, almost we're coding and we're iterating, we're on a treadmill, which is good. But now, with what we're seeing here, is that you're getting back to extracting away, to your point, all these services you don't need to worry about anymore. I could actually focus all of my attention on the artisan aspect of the solution. Not UX, love UX design, not that kind of art, but something about software art. What's your reaction to that? Do you see that coming? Because if this continues, we're going to have a whole class of software developers just essentially painting software art, if you will. >> Yeah. >> I mean, that potentially is a scenario. Your thoughts. >> Yes, I agree with that scenario being feasible. I think it's probably more than a couple of weeks away, but I'm really excited about it. I think you're right on the money, I think a lot of the changes that we're seeing allow people to operate more independently and that's what motivates the transitions to microservice in the first place, it wasn't just to rewrite everyone's software for fun, it was because we want everyone to be able to be independent of each other and operate in that mode. The thing that I think is exciting about that vision which I would echo is a lot of the primitives that we see in the marketplace right now allow developers to focus on the semantics of application and the requirements of application which is where all of the interesting stuff is, and what we all get excited about. And I think we do see a lot of the, this number of people here right now, that investment as a community in allowing developers to focus on the logic and nothing more is really tremendous and exciting to me. >> How has community changed? I know you believe in community. Community's more important than ever now, in this new model, 'cause there's so much leverage going on with the software. How important is community and how is it changing and how should it evolve to handle all this awesome growth? >> Yeah I do have some thoughts about that. It's definitely important, I mean no one's going to deny that. I think one of the biggest challenges that I think about anyway in this sphere, has to do with, I referred to this earlier, it's important to figure out what problem you're solving with the community aspect of things, like with open tracing we thought really hard about this, like are we going to focus on, like, the bits and bytes and the wire protocols, or on the part that really needs to be standardized. I think community makes sense when standards are appropriate and standard interfaces are appropriate. I'm actually a little bit skeptical of community driven solutions where it's, you're delivering the entire package as a community because it ends up intersecting in ways that are complex I think with business motivations. I think the most successful projects are areas where the community really must collaborate, which usually has something to do with standardization. Those are the areas where I'm most excited. And then you actually literally, I was talking with Ken Goldberg yesterday, and they intentionally carved out areas for vendors to play, because they don't want to kind of meddle in that are. It's actually better not to meddle in that area. It's actually better- >> It's like microservices, you put the vendors over there and you put core commuters over there. Ben Sigelman, thanks for coming on theCUBE, I appreciate it. Congratulations on LightStep and the success and your talks here. Early community exploding, cloud native is not only a movement, it's clear to everyone, cloud and data and software and open source is making it happen, easier, accelerating velocity. It's theCUBE, doing our part, bringing you the data, here in Texas, I'm John Furrier, with Stu Miniman. We're back with more live coverage after this short break. >> Thank you. (techno music)
SUMMARY :
Brought to you by Red Hat, the Linux Foundation, of the Kubernetes Conference, all this stuff with service mesh, and you got the app plumbing guys all building and he's like, you know, honestly, the big news right now, and to centralize the pieces that should be centralized. Yeah, so Ben, and that leads right into the first slide in my talk was a picture and it's factored them off into a side car that you can run Makes total sense architecturally and I want you for the guys that solve their own problems. So this was not like "Hey, let's just design How does that connect to like, reality now for, and the thing that's so exciting to me I mean, how would you describe it, I mean, by flipping a configuration bit to on, you know. Compare and contrast what the old way would have been. that full team had met, making sure it still works and deploys. Yeah, they're going to quit right there. Ben, I wanted you to be able to share a little bit and that means it's complicated. the open source projects and... and make it easier to actually observe your own system. I'm really glad you asked that. and microservices on the outside, and you talk about developers and people building, and so we help people get those, "When something goes wrong, it used to be you knew, Yeah. Tell the story of why did you start the company. and I'd love to see LightStep be a part of this story but one of the things we're seeing, And my piece is, I want to test this with you I mean, that potentially is a scenario. And I think we do see a lot of the, I know you believe in community. that I think about anyway in this sphere, has to do with, and you put core commuters over there. Thank you.
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