(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)

(ambient music) >> Good morning, everyone. Lisa Martin with theCUBE, live at the eighth Annual Women in Data Science Conference. This is one of my absolute favorite events of the year. We engage with tons of great inspirational speakers, men and women, and what's happening with WiDS is a global movement. I've got two fabulous co-hosts with me today that you're going to be hearing and meeting. Please welcome Tracy Zhang and Hannah Freitag, who are both from the sata journalism program, master's program, at Stanford. So great to have you guys. >> So excited to be here. >> So data journalism's so interesting. Tracy, tell us a little bit about you, what you're interested in, and then Hannah we'll have you do the same thing. >> Yeah >> Yeah, definitely. I definitely think data journalism is very interesting, and in fact, I think, what is data journalism? Is definitely one of the big questions that we ask during the span of one year, which is the length of our program. And yeah, like you said, I'm in this data journalism master program, and I think coming in I just wanted to pivot from my undergrad studies, which is more like a traditional journalism, into data. We're finding stories through data, so that's why I'm also very excited about meeting these speakers for today because they're all, they have different backgrounds, but they all ended up in data science. So I think they'll be very inspirational and I can't wait to talk to them. >> Data in stories, I love that. Hannah, tell us a little bit about you. >> Yeah, so before coming to Stanford, I was a research assistant at Humboldt University in Berlin, so I was in political science research. And I love to work with data sets and data, but I figured that, for me, I don't want this story to end up in a research paper, which is only very limited in terms of the audience. And I figured, okay, data journalism is the perfect way to tell stories and use data to illustrate anecdotes, but to make it comprehensive and accessible for a broader audience. So then I found this program at Stanford and I was like, okay, that's the perfect transition from political science to journalism, and to use data to tell data-driven stories. So I'm excited to be in this program, I'm excited for the conference today and to hear from these amazing women who work in data science. >> You both brought up great points, and we were chatting earlier that there's a lot of diversity in background. >> Tracy: Definitely. >> Not everyone was in STEM as a young kid or studied computer science. Maybe some are engineering, maybe some are are philosophy or economic, it's so interesting. And what I find year after year at WiDS is it brings in so much thought diversity. And that's what being data-driven really demands. It demands that unbiased approach, that diverse, a spectrum of diverse perspectives, and we definitely get that at WiDS. There's about 350 people in person here, but as I mentioned in the opening, hundreds of thousands will engage throughout the year, tens of thousands probably today at local events going on across the globe. And it just underscores the importance of every organization, whether it's a bank or a grocer, has to be data-driven. We have that expectation as consumers in our consumer lives, and even in our business lives, that I'm going to engage with a business, whatever it is, and they're going to know about me, they're going to deliver me a personalized experience that's relevant to me and my history. And all that is powered by data science, which is I think it's fascinating. >> Yeah, and the great way is if you combine data with people. Because after all, large data sets, they oftentimes consist of stories or data that affects people. And to find these stories or advanced research in whatever fields, maybe in the financial business, or in health, as you mentioned, the variety of fields, it's very powerful, powerful tool to use. >> It's a very power, oh, go ahead Tracy. >> No, definitely. I just wanted to build off of that. It's important to put a face on data. So a dataset without a name is just some numbers, but if there's a story, then I think it means something too. And I think Margot was talking about how data science is about knowing or understanding the past, I think that's very interesting. That's a method for us to know who we are. >> Definitely. There's so many opportunities. I wanted to share some of the statistics from AnitaB.org that I was just looking at from 2022. We always talk at events like WiDS, and some of the other women in tech things, theCUBE is very much pro-women in tech, and has been for a very long, since the beginning of theCUBE. But we've seen the numbers of women technologists historically well below 25%, and we see attrition rates are high. And so we often talk about, well, what can we do? And part of that is raising the awareness. And that's one of the great things about WiDS, especially WiDS happening on International Women's Day, today, March 8th, and around event- >> Tracy: A big holiday. >> Exactly. But one of the nice things I was looking at, the AnitaB.org research, is that representation of tech women is on the rise, still below pre-pandemic levels, but it's actually nearly 27% of women in technical roles. And that's an increase, slow increase, but the needle is moving. We're seeing much more gender diversity across a lot of career levels, which is exciting. But some of the challenges remain. I mean, the representation of women technologists is growing, except at the intern level. And I thought that was really poignant. We need to be opening up that pipeline and going younger. And you'll hear a lot of those conversations today about, what are we doing to reach girls in grade school, 10 year olds, 12 year olds, those in high school? How do we help foster them through their undergrad studies- >> And excite them about science and all these fields, for sure. >> What do you think, Hannah, on that note, and I'll ask you the same question, what do you think can be done? The theme of this year's International Women's Day is Embrace Equity. What do you think can be done on that intern problem to help really dial up the volume on getting those younger kids interested, one, earlier, and two, helping them stay interested? >> Yeah. Yeah, that's a great question. I think it's important to start early, as you said, in school. Back in the day when I went to high school, we had this one day per year where we could explore as girls, explore a STEM job and go into the job for one day and see how it's like to work in a, I dunno, in IT or in data science, so that's a great first step. But as you mentioned, it's important to keep girls and women excited about this field and make them actually pursue this path. So I think conferences or networking is very powerful. Also these days with social media and technology, we have more ability and greater ways to connect. And I think we should even empower ourselves even more to pursue this path if we're interested in data science, and not be like, okay, maybe it's not for me, or maybe as a woman I have less chances. So I think it's very important to connect with other women, and this is what WiDS is great about. >> WiDS is so fantastic for that network effect, as you talked about. It's always such, as I was telling you about before we went live, I've covered five or six WiDS for theCUBE, and it's always such a day of positivity, it's a day of of inclusivity, which is exactly what Embrace Equity is really kind of about. Tracy, talk a little bit about some of the things that you see that will help with that hashtag Embrace Equity kind of pulling it, not just to tech. Because we're talking and we saw Meta was a keynote who's going to come to talk with Hannah and me in a little bit, we see Total Energies on the program today, we see Microsoft, Intuit, Boeing Air Company. What are some of the things you think that can be done to help inspire, say, little Tracy back in the day to become interested in STEM or in technology or in data? What do you think companies can and should be doing to dial up the volume for those youngsters? >> Yeah, 'cause I think somebody was talking about, one of the keynote speakers was talking about how there is a notion that girls just can't be data scientists. girls just can't do science. And I think representation definitely matters. If three year old me see on TV that all the scientists are women, I think I would definitely have the notion that, oh, this might be a career choice for me and I can definitely also be a scientist if I want. So yeah, I think representation definitely matters and that's why conference like this will just show us how these women are great in their fields. They're great data scientists that are bringing great insight to the company and even to the social good as well. So yeah, I think that's very important just to make women feel seen in this data science field and to listen to the great woman who's doing amazing work. >> Absolutely. There's a saying, you can't be what you can't see. >> Exactly. >> And I like to say, I like to flip it on its head, 'cause we can talk about some of the negatives, but there's a lot of positives and I want to share some of those in a minute, is that we need to be, that visibility that you talked about, the awareness that you talked about, it needs to be there but it needs to be sustained and maintained. And an organization like WiDS and some of the other women in tech events that happen around the valley here and globally, are all aimed at raising the profile of these women so that the younger, really, all generations can see what they can be. We all, the funny thing is, we all have this expectation whether we're transacting on Uber ride or we are on Netflix or we're buying something on Amazon, we can get it like that. They're going to know who I am, they're going to know what I want, they're going to want to know what I just bought or what I just watched. Don't serve me up something that I've already done that. >> Hannah: Yeah. >> Tracy: Yeah. >> So that expectation that everyone has is all about data, though we don't necessarily think about it like that. >> Hannah: Exactly. >> Tracy: Exactly. >> But it's all about the data that, the past data, the data science, as well as the realtime data because we want to have these experiences that are fresh, in the moment, and super relevant. So whether women recognize it or not, they're data driven too. Whether or not you're in data science, we're all driven by data and we have these expectations that every business is going to meet it. >> Exactly. >> Yeah. And circling back to young women, I think it's crucial and important to have role models. As you said, if you see someone and you're younger and you're like, oh I want to be like her. I want to follow this path, and have inspiration and a role model, someone you look up to and be like, okay, this is possible if I study the math part or do the physics, and you kind of have a goal and a vision in mind, I think that's really important to drive you. >> Having those mentors and sponsors, something that's interesting is, I always, everyone knows what a mentor is, somebody that you look up to, that can guide you, that you admire. I didn't learn what a sponsor was until a Women in Tech event a few years ago that we did on theCUBE. And I was kind of, my eyes were open but I didn't understand the difference between a mentor and a sponsor. And then it got me thinking, who are my sponsors? And I started going through LinkedIn, oh, he's a sponsor, she's a sponsor, people that help really propel you forward, your recommenders, your champions, and it's so important at every level to build that network. And we have, to your point, Hannah, there's so much potential here for data drivenness across the globe, and there's so much potential for women. One of the things I also learned recently , and I wanted to share this with you 'cause I'm not sure if you know this, ChatGPT, exploding, I was on it yesterday looking at- >> Everyone talking about it. >> What's hot in data science? And it was kind of like, and I actually asked it, what was hot in data science in 2023? And it told me that it didn't know anything prior to 2021. >> Tracy: Yes. >> Hannah: Yeah. >> So I said, Oh, I'm so sorry. But everyone's talking about ChatGPT, it is the most advanced AI chatbot ever released to the masses, it's on fire. They're likening it to the launch of the iPhone, 100 million-plus users. But did you know that the CTO of ChatGPT is a woman? >> Tracy: I did not know, but I learned that. >> I learned that a couple days ago, Mira Murati, and of course- >> I love it. >> She's been, I saw this great profile piece on her on Fast Company, but of course everything that we're hearing about with respect to ChatGPT, a lot on the CEO. But I thought we need to help dial up the profile of the CTO because she's only 35, yet she is at the helm of one of the most groundbreaking things in our lifetime we'll probably ever see. Isn't that cool? >> That is, yeah, I completely had no idea. >> I didn't either. I saw it on LinkedIn over the weekend and I thought, I have to talk about that because it's so important when we talk about some of the trends, other trends from AnitaB.org, I talked about some of those positive trends. Overall hiring has rebounded in '22 compared to pre-pandemic levels. And we see also 51% more women being hired in '22 than '21. So the data, it's all about data, is showing us things are progressing quite slowly. But one of the biggest challenges that's still persistent is attrition. So we were talking about, Hannah, what would your advice be? How would you help a woman stay in tech? We saw that attrition last year in '22 according to AnitaB.org, more than doubled. So we're seeing women getting into the field and dropping out for various reasons. And so that's still an extent concern that we have. What do you think would motivate you to stick around if you were in a technical role? Same question for you in a minute. >> Right, you were talking about how we see an increase especially in the intern level for women. And I think if, I don't know, this is a great for a start point for pushing the momentum to start growth, pushing the needle rightwards. But I think if we can see more increase in the upper level, the women representation in the upper level too, maybe that's definitely a big goal and something we should work towards to. >> Lisa: Absolutely. >> But if there's more representation up in the CTO position, like in the managing level, I think that will definitely be a great factor to keep women in data science. >> I was looking at some trends, sorry, Hannah, forgetting what this source was, so forgive me, that was showing that there was a trend in the last few years, I think it was Fast Company, of more women in executive positions, specifically chief operating officer positions. What that hasn't translated to, what they thought it might translate to, is more women going from COO to CEO and we're not seeing that. We think of, if you ask, name a female executive that you'd recognize, everyone would probably say Sheryl Sandberg. But I was shocked to learn the other day at a Women in Tech event I was doing, that there was a survey done by this organization that showed that 78% of people couldn't identify. So to your point, we need more of them in that visible role, in the executive suite. >> Tracy: Exactly. >> And there's data that show that companies that have women, companies across industries that have women in leadership positions, executive positions I should say, are actually more profitable. So it's kind of like, duh, the data is there, it's telling you this. >> Hannah: Exactly. >> Right? >> And I think also a very important point is work culture and the work environment. And as a woman, maybe if you enter and you work two or three years, and then you have to oftentimes choose, okay, do I want family or do I want my job? And I think that's one of the major tasks that companies face to make it possible for women to combine being a mother and being a great data scientist or an executive or CEO. And I think there's still a lot to be done in this regard to make it possible for women to not have to choose for one thing or the other. And I think that's also a reason why we might see more women at the entry level, but not long-term. Because they are punished if they take a couple years off if they want to have kids. >> I think that's a question we need to ask to men too. >> Absolutely. >> How to balance work and life. 'Cause we never ask that. We just ask the woman. >> No, they just get it done, probably because there's a woman on the other end whose making it happen. >> Exactly. So yeah, another thing to think about, another thing to work towards too. >> Yeah, it's a good point you're raising that we have this conversation together and not exclusively only women, but we all have to come together and talk about how we can design companies in a way that it works for everyone. >> Yeah, and no slight to men at all. A lot of my mentors and sponsors are men. They're just people that I greatly admire who saw raw potential in me 15, 18 years ago, and just added a little water to this little weed and it started to grow. In fact, theCUBE- >> Tracy: And look at you now. >> Look at me now. And theCUBE, the guys Dave Vellante and John Furrier are two of those people that are sponsors of mine. But it needs to be diverse. It needs to be diverse and gender, it needs to include non-binary people, anybody, shouldn't matter. We should be able to collectively work together to solve big problems. Like the propaganda problem that was being discussed in the keynote this morning with respect to China, or climate change. Climate change is a huge challenge. Here, we are in California, we're getting an atmospheric river tomorrow. And Californians and rain, we're not so friendly. But we know that there's massive changes going on in the climate. Data science can help really unlock a lot of the challenges and solve some of the problems and help us understand better. So there's so much real-world implication potential that being data-driven can really lead to. And I love the fact that you guys are studying data journalism. You'll have to help me understand that even more. But we're going to going to have great conversations today, I'm so excited to be co-hosting with both of you. You're going to be inspired, you're going to learn, they're going to learn from us as well. So let's just kind of think of this as a community of men, women, everything in between to really help inspire the current generations, the future generations. And to your point, let's help women feel confident to be able to stay and raise their hand for fast-tracking their careers. >> Exactly. >> What are you guys, last minute, what are you looking forward to most for today? >> Just meeting these great women, I can't wait. >> Yeah, learning from each other. Having this conversation about how we can make data science even more equitable and hear from the great ideas that all these women have. >> Excellent, girls, we're going to have a great day. We're so glad that you're here with us on theCUBE, live at Stanford University, Women in Data Science, the eighth annual conference. I'm Lisa Martin, my two co-hosts for the day, Tracy Zhang, Hannah Freitag, you're going to be seeing a lot of us, we appreciate. Stick around, our first guest joins Hannah and me in just a minute. (ambient music)

(bright upbeat music) >> Hi, everyone, welcome back to theCUBE's Unstoppable Domains Partner Showcase. I'm John Furrier, host of theCUBE. This segment in this session is about expansion into Asia Pacific and Europe for Unstoppable Domains. It's a hot startup in the Web3 area, really creating a new innovation around NFTs, crypto, single sign-on, and digital identity, giving users the power like they should. We've got two great guests, Sajjad Rehman, Head of Europe, and Nilkanth, known as Nil, Iyer, head of Asia. Sajjad, Nil, welcome to this CUBE, and let's talk about the expansion. It's not really an expansion, the global economy is global, but showcase here about Unstoppables going to Europe. Thanks for coming on. >> Thanks for inviting us. >> Thanks John, for inviting us. >> So we're living in a global world, obviously, crypto, blockchain, decentralized applications. You're starting to see mainstream adoption, which means the shift is happening. There are more apps coming, and it means more infrastructure, and things got to get easier, right? So, reduce the steps it takes to do stuff, makes the wallets better, give people more secure access and control of their data. This is what Unstoppable is all about. You guys are in the middle of it, you're on this wave. What is the potential of Web3 with Unstoppable, and in general, in Asia and in Europe? >> I can go first. So, now, let's look at the Asia market. I mean, typically, we see the US market, the Europe markets, for typical Web 2.0 software and infrastructure is definitely the larger markets, with US typically accounting for about 60%, and Europe about 20 to 30%, and Asia has always been small. But we see in this whole world of blockchain, crypto, Web 3.0, Asia already has about 160 million users. They have more than 35 local exchanges. And if you really look at the number of countries, in terms of the rate of adoption, many of the Asian countries, which probably you'd have never even heard of, like Vietnam, actually topping the list, right? One of the reasons that this is happening, again, if you go through the Asian Development Bank's latest report, you have these Gen Zs and millennials, of that's 50% of the Asian population. And if you really look at 50% of the Asian population, that's 1.1 billion people out of the total, 1.8 billion Gen Z and millennials that you have have in the world. And these folks are digitally native, they're people, in fact, the Gen Zs are mobile first, and millennials, many of us, like myself, at least, are people who are digital, and 20% of the world's economy is currently digital, and the rest, 40 to 50%, which is going to happen in the Web 3.0 world, and that's going to be driven by millennials and Gen Zs. I think that's why this whole space is so exciting, because it's being driven by the users, by the new generation. I mean, that's my broad thought on this whole thing. >> Before we get get this started, I want to just comment, Asia, also, in other areas where mobile first came, you had the younger demographics absolutely driving the change, because they're like, "Well, I don't want the old way." They go right from scratch at the beginning, they're using the technologies. That has propelled the crypto world. I mean, that is absolutely true. Everyone's kind of seeing that. And that's now influencing some of these developer nations, like say, in Europe, for instance, and even North America, I think Europe's more advanced than North America, in my opinion, but we'll get to that. Oh, so potential in Europe. Sajjad, take us through your thoughts on... As head of Europe, for our audience. >> Absolutely, so, Nil's right. I think Asia is way ahead in terms of Gen Z user adopting crypto, Europe is actually a distant second, but it's surprising to note that Europe actually has the highest transactional activity in crypto over the last year and a half. And if you dig a bit deeper, I'd say, arguably, for Europe, I think the opportunity in Web3 is perhaps the largest. And then perhaps it can mean the most for Europe. Europe, for the last decade, has been trailing behind Asia and North America, when it comes to birthing unicorns, and I think Web3 can provide a StepChain opportunity. This belief, for me, stems from the fact that Europe's policy, right, like, for example, GDPR, is focused on enabling your data ownership. And I think I recently read a very good paper out of Stanford, by Patrick Henson. He speaks about Web3 being the best part, here, for Europe enabling patient sovereignty. So what that means is users control the data, they're paying to enter it, and they harness the value from it. And on one hand, while Europe is enabling that regulation, that's entered in that code, Web3 actually brings it into action. So I think with more enablement, better regulation, and we'll see more hubs, like the Crypto Valley in Switzerland pop up, that will bring, I think, I'd rather be careful, better to say, not over-regulation, the right regulation. We can expect more in prop capital, more builder talent, that then drives more adoption. So I think the prospects for Europe in terms of usage, as well as builders, are quite bright. >> Yeah, and I think, also, you guys are in areas where the cultural shift is so dramatic. You mentioned Asia, the demographics, even the entrepreneurial culture in Europe right now is booming. You look at all the venture-backed startups, and the young generation building companies! And again, cloud computing is a big part of that, obviously. But look at, compared to the United States, you go back 15 years ago, Europe was way behind, on the startup scene. Now it's booming and pumping on all cylinders. And it kind of points at this cultural shift. It's almost like a generational... It's like the digital hippies changing the world. The Web3, it's kind of, "I don't want to be Web2, Web2 is so old, I don't want to do that." And then it's all because it's changing, right? And there are things inadequate with Web2, on the naming system. Also the arbitrage around fake information, bots, users being manipulated, and also merchandised and monetized through these portals. Okay, that's kind of ending. So talk about the dynamic of Web2, 3, at those areas. You've got users and you've got companies, who build applications. They're going to shift and be forced, in our opinion, and I want to get your reaction to that. Do you think applications are going to have to be Web3, or users will reject them? >> Yeah, I think that I'll jump in and add to there in Nil's part. I think the Web3 is built on three principles, right? They're decentralization, ownership, and composability. And I think these are not binary. So if I look further on in the future, I don't see a future where you have just Web3. I think there's going to be coexistence or cooperation between Web2 companies, Web3, building bridges. I think there's going to be... There's a sliding scale to decentralization, versus centralization. Similarly, ownership. And I think users will find what works best for them in different contexts. I think what Unstoppable is doing is essentially providing the identity system for Web3, and that's way more powerful when it comes to being built on blockchains, than with the naming system we had for Web2, right? The identity system can serve the purpose of taking a user's personal identifier, password, blockchain, domain name, and attaching all kinds of attributes that define who you are, both in the physical and digital world, and filling out information that you can transact on the basis of. And I think the users would, as we go to a no-code and low-code future, right, where in Web2, more of the users were essentially consumers, or readers of the internet. And in Web3, with more low-code and no-code technology platforms taking shape and getting proliferation, you would see more users being actually writers, publishers, and developers on the internet. And they would value owning their data, and to harness the most amount of value from it. So I think that's the power concept, and I think that's the future I see, where Web3 will dominate. Nil, what do you think? >> Well, I think you put it very, very nicely, Sajjad. I think you covered most of the points, I think. But I'm seeing a lot of different things that are happening at the ground. I think a lot of the governments, a lot of the Web 2.0 players, the traditional banks, these guys are not sitting quiet on the blockchain space. There are a lot of pilots happening in the blockchain space, right? I mean, I can give you real life examples. I mean, one of the biggest examples is in my home state of Maharashtra, where Mumbai is. They actually partnered with Polygon (MATIC), right? Actually built a private blockchain-based capability to kind of deliver your COVID vaccination certificates with the QR code, right? And that's the only way they could deliver that kind of volumes in that short a time, with the kind of user control, the user control the user has on the data. That could only be possible because of blockchain. Of course, it's still private, because it's healthcare data, they still want to keep it, something that's not fully on a blockchain. But that is something. Similarly, there is a consortium of about nine banks who have actually trying to work on making things like remittances or trade finance much, much easier. I mean, remittances through a traditional, Web 2.0 world is very, very costly. And especially in the Asian countries, a lot of people from Southeast Asia work across the world and send back money home. It's a very costly and a time-taking affair. So they have actually partnered and built a blockchain-based capability, again, in a pilot stage, to kind of reduce the transaction costs. For example, if you just look at the trade finance days where there are 14 million traders, who do 2.4, 5 trillion dollars, of transaction, they were able to actually reduce the time that it takes from eight to nine days, to about two to three days. And so, to add on to what you're saying, I think these two worlds are going to meet, and meet very soon. And when they meet, what they need is a single digital identity, a human-readable way of being able to send and receive and do commerce. I think that's where I see Unstoppable Domains, very nicely positioned to be able to integrate these two worlds, so that's my thought on all the logistics. >> That was a great point. I was going to get into which industries, and kind of what areas, you see in your geographies. But it's a good point about saving time. I like how you brought that up, because in these new waves, you either got to reduce the steps it takes to do something, or save time, make it easy. And this is the successful formula, in anything, whether it's an app or UI or whatever, but what specifically are they doing in your areas? And what about Unstoppable are they attracted to? Is it because of the identity? Is it because of the apps? Is it because of the single sign-on? What is the reason that they're leaning in, and unpacking this further into their pilots? >> Sajjad, do you want to take that? >> Yeah, absolutely, man. >> Because. >> Yeah, I'm happy. Please jump in if you want. So I think, and let me clarify the question, John, you're talking about Web2 companies, looking to partner in software, or potential partnerships, right? >> Yeah, what are they seeing, and what are they seeing as the value that these pilots we heard from Nilkanth around the financial industry? And obviously, gaming's one, it's obvious. Huge: financial, healthcare, I mean, these are obviously verticals that are going to be heavily impacted in a positive way. What are they seeing as value? What's getting them motivated to do these pilots? Why are they jumping in, with both feet, if you will, on these projects? Is it because it's saving money, is it time, or both, is it ease of use, is it the user's expectations? Trying to tease out how you guys see that evolving. >> Yeah, yeah, I think... This is still, the space is, the movement is going very fast, but I think the space is still young. And right now, a lot of these companies are seeing the potential that Web3 offers. And I think the key, key dimensions, right, composability, decentralization, and ownership. So I think the key thing I'm seeing in EU is these Web2 companies seeing the momentum and looking to harness that by enabling bridges to Web3. One of the key trends in Europe has been Fintech, I think over the last five to six years, we have the Revolut, N26, e-TOTAL creating platforms, new banks and super finance, super apps rising to the forefront. And they are all enabling, or also connecting a bridge with Web3 in some shape and form, either enabling creating of crypto, some are launching their own native wallets, and these are, essentially, ways that they can, one, attract users. So the Gen Z who are looking for more friction in finance, to get them on board, but also to look to enable more adoption by their own users, who are not using these services that potentially create new revenue streams, and create allocation of capital that they could not access, to have access to otherwise. So I think that's one trend I'm seeing over here. I think the other key trend is, in Europe, at least, has been games. And again, dead links or damaged, web creators would call the metaverse. So a lot of game companies are looking to step into Game Fire, which is, again, a completely different business model to what traditional game companies used to use. Similarly, metaverse is where again, ownership creates a different business model and they see that users and gamers of the future would want to engage with that, versus just being monetized on the basis of subscription or ads. And I think that's something that they're becoming aware of, and moving quickly in the space, launching their own metaverses, or game by applications. Or creating interoperability with these decentralized applications. >> You know, I wanted to get into this point, but I was going to ask about the community empowerment piece of this equation, 'cause digital identity is about the user's identity, which implies they're part of a community. Web3 is very community-centric. But you mentioned gaming, I mean, people who have been watching the gaming world, like ourselves, know that communities and marketplaces have been very active for years, many years, over 15 years. Community, games, currency, in-game activity, has been out there, right, but siloed within the games themselves. So now, it seems that that paradigm's coming in and empowering all communities. Is this something that you guys see and agree with? And if so, what's different about that? How are communities being empowered? I guess that's the question. >> Yeah, I can maybe take that, Sajjad. So, I mean, I must have heard of Axie Infinity, I mean, 40% of their user base is in Vietnam. And the average earning that a person makes in a month, out of playing this game, is more than the national, daily or minimum wage that is there, right? So that's the kind of potential. Actually, going back, as a combination of actually answering your earlier question, and I think over and above what Sajjad said, what's very unique in Asia is we still have a lot of unbanked people, right? So if you really look at the total unbanked population of the world, it's 1.6 billion, and 24% of that is in Asia, so almost 375 million people are in Asia. So these are people who do not have access to finance or credit. So the whole idea is, how do we get these people on to a banking system, onto peer-to-peer lending, or peer-to-peer finance kind of capabilities. I think, again, Unstoppable Domains kind of helps in that, right? If you just look at the pure Web 3.0 world, and the complex, technical way in which money or other crypto is transferred from one wallet to the other, it's very difficult for an unbanked person who probably cannot even do basic communication, cannot read and write, to actually be able to do it. But something that's very human-readable, something that's very easy for him to understand, something that's visual, something that he can see on his mobile. With 2G network, we are not talking of... The world is talking about 5G, but there are parts of Asia, which are still using 2G and 2.5G kind of network, right? So I think that's one key use case. I think the banks are trying to solve because for them, this is a whole new customer segment. And, sorry, I actually went back a little bit, to your earlier question, but coming to this whole community-building, right? So on March 8th, we're launching something called this Women of Web3, or, oh, that is WoW3, right? This is basically to, again, empower. So if you, again, look at Asia, women need a lot of training, they need a lot of enablement, for them to be able to leverage the power of Web 3.0. I can talk about India, of course, being from India. A lot of the women do not... They do all the small businesses, but the money is taken by middlemen, or taken by their husbands. With Web 3.0, fundamentally, the money comes to them, because that's what they use to educate their children. And it's the same thing in a lot of other Southeast Asian countries as well. I think it's very important to build those communities, communities of women entrepreneurs. I think this is a big opportunity to really get the section of society, which probably will take 10 more years, if we go through the normal Web1 to Web 2.0 progression, where the power is with corporations, and not with the individuals. >> And that's a great announcement, by the way, you mentioned the $10 million worth of domains being issued out for... This is democratization, it's what it's all about. Again, this is a new revolution. I mean, this is a new thing. So great stuff, more education, more learning. And going to get the banks up and running, get those people banking, 'cause once they're banking, they get wallets, right? So they need the wallets. So let's get to the real meat here. You guys are in the territory, Europe and Asia, where there's a lot of wallets. There's a lot of exchanges, 'cause that's... They're not in the United States. There's a few of them there, but most of them outside the United States. And you've got a lot of dApps developing, decentralized applications, okay? So you got all this coming together in your territory. What's the strategy, how you going to attack that? You got the wallets, you got the exchanges, and you got D applications. DApps. >> Yeah, I'm happy to (indistinct). So I think, and just quickly there, I think one point is, and Nil really expressed it beautifully, is finding inclusion. That is something that has inspired me, how Web3 can make the internet more inclusive. That inspired my move here. Yeah, I think, for us, I think we are at the base start when it comes to Europe, right? And the key focus, in terms of our approach in Europe would be that, we want to do two things. One, we want to increase the utility of these domain names. And the second thing is, we will invite proliferation with our partners. So when I speak about utility, I think utility is when you have a universal identifier, which is a domain name, and then you have these attributes around it, right? What then defines your identity. So in the context, in Europe, we would look to find partners to help us enrich that identity around the domain name. And that adds value for users, in terms of acquiring these domains and new clients. And on the other end, when it comes to proliferation, I think it's about working with all those crypto, and crypto and Web3, Web3 participants as well as Web3-adjacent companies, brands, and services, who can help us educate current and future, and upcoming Web3 users about the utility of domain names, and help us onboard them to the decentralized internet. So I think that's going to be the general focus. I think the key is that, as, oh, and hopefully, we'll be having one, overarching regulation, EU, that allowed us to do this at a vision level. But I would say I think it's going to be tackling it country by country, identifying countries where there's deeper penetration for Web3, and then making sure that we are partnered with local, trusted partners that are already developing for local communities there. So, yeah, that's my view and Nil, I believe those are wants in, for Asia. >> Oh, I think, yeah, so again, in Asia, one is you have a significant part of humanity living in Asia, right? So obviously, all the other challenges and the opportunities that we talk about, I think the first area of focus would be educating the people on the massive opportunity that they have, and if you're able to get them in early, I think it's great for them as well, right? Because by the time governments, regulations, large banking, financial companies move, but if you can get the larger population into this whole space, it's good for them, so they are first movers in that space. I think we are doing a lot of things on this, worldwide. I think we've done more than 100 past podcasts, just educating people on what is Web 3.0, what are NFT domains? What is DeFi, and so on and so forth. I think it would need some bit of localization, customization, in Asia, given that India itself has about 22 languages. And then there are the other countries which, each of them with their own local languages and syntax, semantics and all those things, right? So I think that that is very important, to be able to disseminate the knowledge, although it's global, but I think to get the grassroot people to understand the opportunity, I think it would need some amount of work there. I think also building communities, I think, John, you talked about communities, so did Sajjad talk about communities. I think it's very important to build communities, because communities create ideation. It talks about... People share their challenges, so that people don't repeat the same mistakes. So I think it's very important to build communities based on interest. I think we all know in the technology world, you can build communities around Elegram, Telegram, Discord, Twitter spaces, and all those things. But, again, when you're talking of financial inclusion, you're talking of a different kind of community-building. I think that that would be important. And then of course I will kind of, primarily from a company perspective, I think getting the 35 odd exchanges in Asia, the wallets to partner with us. Just as an example, MATIC. They had, until September of last year, about 3,500 apps. In just one quarter, it doubled to 7,000 dApps on their platform. But that is the pace, or the speed of innovation that we are seeing on this whole 3.0 space. I think it's very important to get those key partners, Who are developing those dApps. See the power of single sign-on, having a human-readable, digital identity, being able to seamlessly transfer all your assets, digital assets, across multiple cryptos, across multiple NFT marketplaces, and so on and so forth. >> Yeah, and I think the whole community thing, too, is also you seeing the communities being part of, certainly in the entertainment area, and the artistry, creator world, the users are art of the community, they own it, too. So it goes both ways, but this brings up the marketplace, too, as well, because you guys have the opportunity to have trust built into the software layer, right? So now you can keep the reputation data. You can be anonymous, but it's trustworthy, versus bots, which we all know bots can be killed and then started again with... And no one knows what the tagalong has been around. So the whole inadequacy of Web2, which is just growing pains, right? This is what it evolution looks like, next abstraction layer. So I love that vibe. How advanced do you think that thinking is, where people are saying, Hey, we need this abstraction layer. We need this digital identity. We need to start expanding our applications so that the users can move across these and break down those silos where the data is, 'cause that's... This is like the nerd problem, right? It's the data silos that are holding it back. What's your guys' reaction to that? The killing the silos and making it horizontally scalable? >> Yeah, I think it's a nerd problem. It is a problem of people who understand technology. It's a problem of a lot of the people in the business who want to compete effectively against those giants, which are holding all the data. So I think those are the people who will innovate and move. Again, coming back to financial inclusion, coming back to the unbanked, those guys just want to do their business. They want to live their daily life. I think that's not where you'll see... You will see innovation in a different form, but they're not going to disrupt the disrupters. I think that would be the people, Fintechs, I think they would be the first to move on to something like that. I mean, that's my humble opinion. >> Sajjad, you heard. >> Yeah, I think- >> Go ahead. >> I mean, absolutely. I think, I mean, I touched on creators, right? So, like I said earlier, right, we are heading to a future where more people will be creators on the internet. Whether you're publishing, writing something, you're creating video content, and that means that they have data they own, but that's their data, they bring it to the internet. That's more powerful, more useful, and they should be able to transact on that basis. So I think people are recognizing that, and they will increasingly look to do so. And as they do that, they would want these systems that enable them to hold permission to their data. They will want to be able to control what their permission and what they want to provide, dApp. And at the end of the day, these applications have to work backwards from customers, and the customer's looking for that. That's where... That's what they will build. >> The users want freedom. They want to be able to be connected, and not be restricted. They want to freely move around the global internet and do whatever they want with the friends and apps that they want to consume, and not feel arbitraged. They don't want to feel like they're kind of nailed into a walled garden and stuck there and having to come back. It's the new normal. >> They don't want to be the product, right, so. >> They don't want to be the product. Gentlemen, great to have you on, great conversation. We're going to continue this later. Certainly want to keep the updates coming. You guys are in a very hot area in Europe and Asia Pacific. That's where a lot of the action is happening. We see the entrepreneurial activity, the business transformation, certainly with the new paradigm shift, and this big wave that's coming. It's here, it's mainstream. Thanks for coming on and sharing your insights. Appreciate it. >> Thanks, John. >> Thanks, John, Thanks for the opportunity, have a good day. >> Okay, okay, great conversation. All the action's moving and happening real fast. This is theCUBE Unstoppable Domains Partner Showcase. I'm John Furrier, your host. Thanks for watching. (contemplative music)

(upbeat music) >> Hello everyone, welcome back to theCUBE's coverage of splunk.com 2021 virtual. We're here live in the Splunk studios. We're all here gettin all the action, all the stories. Garth Fort, senior vice president, Chief Product Officer at Splunk is here with me. CUBE alumni. Great to see you. Last time I saw you, we were at AWS now here at Splunk. Congratulations on the new role. >> Thank you. Great to see you again. >> Great keynote and great team. Congratulations. >> Thank you. Thank you. It's a lot of fun. >> So let's get into the keynote a little bit on the product. You're the Chief Product Officer. We interviewed Shawn Bice, who's also working with you as well. He's your boss. Talk about the, the next level, cause you're seeing some new enhancements. Let's get to the news first. Talk about the new enhancements. >> Yeah, this was actually a really fun keynote for me. So I think there was a lot of great stuff that came out of the rest of it. But I had the honor to actually showcase a lot of the product innovation, you know, since we did .conf last year, we've actually closed four different acquisitions. We shipped 43 major releases and we've done hundreds of small enhancements, like we're shipping code in the cloud every six weeks and we're shipping new versions twice a year for our Splunk Enterprise customers. And so this was kind of like if you've seen that movie Sophie's Choice, you know, where you have to pick one of your children, like this was a really hard, hard thing to pick. Cause we only had about 25 minutes, but we did like four demos that I think landed really well. The first was what we call ingest actions and you know, there's customers that are using, they start small with gigabytes and they go to terabytes and up to petabytes of data per day. And so they wanted tools that allow them to kind of modify filter and then route data to different sort of parts of their infrastructure. So that was the first demo. We did another demo on our, our visual playbook editor for SOAR, which has improved quite a bit. You know, a lot of the analysts that are in the, in the, in the SOC trying to figure out how to automate responses and reduce sort of time to resolution, like they're not Python experts. And so having a visual playbook editor that lets them drag and drop and sort of with a few simple gestures create complex playbooks was pretty cool. We showed some new capabilities in our APM tool. Last year, we announced we acquired a company called Plumbr, which has expertise in basically like code level analysis and, and we're calling it "Always On" profiling. So we, we did that demo and gosh, we did one more, four, but four total demos. I think, you know, people were really happy to see, you know, the thing that we really tried to do was ground all of our sort of like tech talk and stuff that was like real and today, like this is not some futuristic vision. I mean, Shawn did lay out some, some great visions, visionary kind of pillars. But, what we showed in the keynote was I it's all shipping code. >> I mean, there's plenty of head room in this market when it comes to data as value and data in motion, all these things. But we were talking before you came on camera earlier in the morning about actually how good Splunk product and broad and deep the product portfolio as well. >> Garth: Yeah. >> I mean, it's, I mean, it's not a utility and a tooling, it's a platform with tools and utilities. >> Garth: Yeah >> It's a fully blown out platform. >> Yeah. Yeah. It is a platform and, and, you know, it's, it's one that's quite interesting. I've had the pleasure to meet a couple of big customers and it's kind of amazing, like what they do with Splunk. Like I was meeting with a large telco on the east coast and you know, they actually, for their set top boxes, they actually have to figure out in real time, which ads to display and the only tool they could find to process 15 million events in real time, to decide what ad to display, was Splunk. So that was, that was like really cool to hear. Like we never set out to be like an ad tech kind of platform and yet we're the only tool that operates at that level of scale and that kind of data. >> You know, it's funny, Doug Merritt mentioned this in my interview with him earlier today about, you know, and he wasn't shy about it, which was great. He was like, we're an enabling platform. We don't have to be experts in all these vertical industries >> Garth: Yep >> because AI takes care of that. That's where the machine learning >> Garth: Yeah >> and the applications get built. So others are trying to build fully vertically integrated stacks into these verticals when in reality they don't have to, if they don't want it. >> Yeah, and Splunk's kind of, it's quite interesting when you look across our top 100 customers, you know, Doug talks about like the, you know, 92 of the fortune 100 are kind of using Splunk today, but the diversity across industries and, you know, we have government agencies, we have, you know, you name the retail or the vertical, you know, we've got really big customers, they're using Splunk. And the other thing that I kind of, I was excited about, we announced the last demo I forgot was TruSTAR integration with Enterprise Security. That's pretty cool. We're calling that Splunk Threat Intelligence. And so That was really fun and we only acquired, we closed the acquisition to TruSTAR in May, but the good news is they've been a partner with us like for 18 months before we actually bought em. And so they'd already done a lot of the work to integrate. And so they had a running start in that regard, But other, one other one that was kind of a, it was a small thing. I didn't get to demo it, but we talked about the, the content pack for application performance monitoring. And so, you know, in some ways we compete in the APM level, but in many ways there's a ton of great APM vendors out there that customers are using. But what they wanted us to do was like, hey, if I'm using APM for that one app, I still want to get data out of that and into Splunk because Splunk ends up being like the core repository for observability, security, IT ops, Dev Sec Ops, et cetera. It's kind of like where the truth, the operational truth of how your systems works, lives in Splunk. >> It's so funny. The Splunk business model has actually been replicated. They call it data lake, whatever you want to call it. People are bringing up all these different metaphors. But at the end of the day, if you guys can create a value proposition where you can have data just be, you know, stored and dumped and dumped into whatever they call it stored in a way >> Garth: We call it ingest >> Ingested, ingested. >> Garth: Not dumped. >> Data dump. >> Garth: It's ingested. >> Well, I mean, well you given me a plan, but you don't have to do a lot of work to store just, okay, we can only get to it later, >> Garth: Yep. >> But let the machines take over >> Garth: Yep. >> With the machine learning. I totally get that. Now, as a pro, as a product leader, I have to ask you your, your mindset around optimization. What do you optimize for? Because a lot of times these use cases are emerging. They just pop out of nowhere. It's a net new use case that you want to operationalize. So balancing the headroom >> Yep. >> Or not to foreclose those new opportunities for customers. How are customers deciding what's important to them? How do you, because you're trying to read the tea leaves for the future >> Garth: A little bit, yeah. >> and then go, okay, what do our customers need, but you don't want to foreclose anything. How do you think about product strategy around that? >> There's a ton of opportunity to interact with customers. We have this thing called the Customer Advisory Board. We run, I think, four of them and we run a monthly. And so we got an opportunity to kind of get that anecdotal data and the direct contact. We also have a portal called ideas.splunk.com where customers can come tell us what they want us to build next. And we look at that every month, you know, and there's no way that we could ever build everything that they're asking us to, but we look at that monthly and we use it in sort of our sprint planning to decide where we're going to prioritize engineering resources. And it's just, it's kind of like customers say the darndest things, right? Sometimes they ask us for stuff and we never imagined building it in a million years, >> John: Yeah. >> Like that use case around ads on the set top box, but it's, it's kind of a fun place to be like, we, we just, before this event, we kind of laid out internally what, you know, Shawn and I kind of put together this doc, actually Shawn wrote the bulk of it, but it was about sort of what do we think? Where, where can we take Splunk to the next three to five years? And we talked about these, we referred to them as waves of innovation. Cause you know, like when you think about waves, there's multiple waves that are heading towards the beach >> John: Yeah. >> in parallel, right? It's not like a series of phases that are going to be serialized. It's about making a set of investments. that'll kind of land over time. And, and the first wave is really about, you know, what I would say is sort of, you know, really delivering on the promise of Splunk and some of that's around integration, single sign-on things about like making all of the Splunk Splunk products work together more easily. We've talked a lot in the Q and a about like edge and hybrid. And that's really where our customers are. If you watch the Koby Avital's sort of customer keynote, you know, Walmart by necessity, given their geographic breadth and the customers they serve has to have their own infrastructure. They use Google, they use Azure and they have this abstraction layer that Koby's team has built on top. And they use Splunk to manage kind of, operate basically all of their infrastructure across those three clouds. So that's the hybrid edge scenario. We were thinking a lot about, you mentioned data lakes. You know, if you go back to 2002, when Splunk was founded, you know, the thing we were trying to do is help people make sense of log files. But now if you talk to customers that are moving to cloud, everybody's building a data lake and there's like billions of objects flowing into millions of these S3 buckets all over the place. And we're kind of trying to think about, hey, is there an opportunity for us to point our indexing and analytics capability against structured and unstructured data and those data lakes. So that that'll be something we're going to >> Yeah. >> at least start prototyping pretty soon. And then lastly, machine learning, you know, I'd say, you know, to use a baseball metaphor, like in terms of like how we apply machine learning, we're like in the bottom of the second inning, >> Yeah. >> you know, we've been doing it for a number of years, but there's so much more. >> There's so, I mean, machine learning is only as good as the data you put into the machine learning. >> Exactly, exactly. >> And so if you have, if you have gap in the data, the machine learning is going to have gaps in it. >> Yeah. And we have, we announced a feature today called auto detect. And I won't go into the gory details, but effectively what it does is it runs a real-time analytics job over whatever metrics you want to look at and you can do what I would consider more statistics versus machine learning. You can say, hey, if in a 10 minute period, like, you know, we see more errors than we see on average over the last week, throw an alert so I can go investigate and take a look. Imagine if you didn't have to figure out what the right thresholds were, if we could just watch those metrics for you and automatically understand the seasonality, the timing, is it a weekly thing? Is it a monthly thing? And then like tell you like use machine learning to do the anomaly detection, but do it in a way that's more intelligent than just the static threshold. >> Yeah. >> And so I think you'll see things like auto detect, which we announced this week will evolve to take advantage of machine learning kind of under the covers, if you will. >> Yeah. It was interesting with cloud scale and the data velocity, automations become super important. >> Oh yeah. >> You don't have a lot of new disciplines emerge, like explainable AI is hot right now. So you got, the puck is coming. You can see where the puck is going. >> Yeah >> And that is automation at the app edge or the application layer where the data has got to be free-flowing or addressable. >> Garth: Yeah. >> This is something that is being talked about. And we talked about data divide with, with Chris earlier about the policy side of things. And now data is part of everything. It's part of the apps. >> Garth: Yeah. >> It's not just stored stuff. So it's always in flight. It should be addressable. This is what people want. What do you think about all of that? >> No, I think it's great. I actually just can I, I'll quote from Steve Schmidt in, in sort of the keynote, he said, look like security at the end of the day is a human problem, but it kind of manifests itself through data. And so being able to understand what's happening in the data will tell you, like, is there a bad actor, like wreaking havoc inside of my systems? And like, you can use that, the data trail if you will, of the bad actor to chase them down and sort of isolate em. >> The digital footprints, if you will, looking at a trail. >> Yeah. >> All right, what's the coolest thing that you like right now, when you look at the treasure trove of, of a value, as you look at it, and this is a range of value, Splunk, Splunk has had customers come in with, with the early product, but they keep the customers and they always do new things and they operationalize it >> Garth: Yep. >> and another new thing comes, they operationalize it. What's the next new thing that's coming, that's the next big thing. >> Dude that is like asking me which one of my daughters do I love the most, like that is so unfair. (laughing) I'm not going to answer that one. Next question please. >> Okay. All right. Okay. What's your goals for the next year or two? >> Yeah, so I just kind of finished roughly my first 100 days and it's been great to, you know, I had a whole plan, 30, 60, 90, and I had a bunch of stuff I wanted to do. Like I'm really hoping, sort of, we get past this current kind of COVID scare and we get to back to normal. Cause I'm really looking forward to getting back on the road and sort of meeting with customers, you know, you can meet over Zoom and that's great, but what I've learned over time, you know, I used to go, I'd fly to Wichita, Kansas and actually go sit down with the operators like at their desk and watch how they use my tools. And that actually teaches you. Like you, you come up with things when you see, you know, your product in the hands of your customer, that you don't get from like a CAB meeting or from a Zoom call, you know? >> John: Yeah, yeah. >> And so being able to visit customers where they live, where they work and kind of like understand what we can do to make their lives better. Like that's going to, I'm actually really excited to gettin back to travel. >> If you could give advice to CTO, CISO, or CIO or a practitioner out there who are, who is who's sitting at their virtual desk or their physical desk thinking, okay, the pandemic, were coming through the pandemic. I want to come out with a growth strategy, with a plan that's going to be expansive, not restrictive. The pandemic has shown what's what works, what doesn't work. >> Garth: Sure. >> So it's going to be some projects that might not get renewed, but there's doubling down on, certainly with cloud scale. What would advice would you give that person when they start thinking about, okay, I got to get my architecture right. >> Yeah. >> I got to get my playbooks in place. I got to get my people aligned. >> Yeah >> What's what do you see as a best practice for kind of the mindset to actual implementation of data, managing the data? >> Yeah, and again, I'm, I'm, this is not an original Garth thought. It actually came from one of our customers. You know, the, I think we all, like you think back to March and April of 2020 as this thing was really getting real. Everybody moved as fast as they could to either scale up or scale scaled on operations. If you were in travel and hospitality, you know, that was, you know, you had to figure how to scale down quickly and like what you could shut down safely. If you were like in the food delivery business, you had to figure out how you could scale up, like Chipotle hit two, what is it? $2 billion run rate on delivery last year. And so people scrambled as fast as they could to sort of adapt to this new world. And I think we're all coming to the realization that as we sort of exit and get back to some sense of new normal, there's a lot of what we're doing today that's going to persist. Like, I think we're going to have like flexible rules. I don't think everybody's going to want to come back into the office. And so I think, I think the thing to do is you think about returning to whatever this new normal looks like is like, what did we learn that was good. And like the pandemic had a silver lining for folks in many ways. And it sucked for a lot. I'm not saying it was a good thing, but you know, there were things that we did to adapt that I think actually made like the workplace, like stronger and better. And, and sort of. >> It showed that data's important, internet is important. Didn't break, the internet didn't break. >> Garth: Correct. >> Zoom was amazing. And the teleconferencing with other tools. >> But that's kind of, just to sort of like, what did you learn over the last 18 months that you're going to take for it into the next 18 years? You know what I mean? Cause there was a lot of good and I think people were creative and they figured out like how to adapt super quickly and take the best of the pandemic and turn it into like a better place to work. >> Hybrid, hybrid events, hybrid workforce, hybrid workflows. What's what's your vision on Splunk as a tier one enterprise? Because a lot of the news that I'm seeing that's, that's the tell sign to me in terms of this next growth wave is big SI deals, Accenture and others are yours working with and you still got the other Partnerverse going. You have the ecosystems emerging. >> Garth: Yep. >> That's a good, that means your product's enabling people to make money. >> Garth: Yeah. Yeah, yeah, yeah. >> And that's a good thing. >> Yeah, BlueVoyant was a great example in the keynote yesterday and they, you know, they've really, they've kind of figured out how, you know, most of their customers, they serve customers in heavily regulated industries kind of, and you know, those customers actually want their data in a Splunk tenant that they own and control and they want to have that secure boundary around that. But BlueVoyant's figured out how they can come in and say, hey, I'm going to take care of the heavy lifting of the day-to-day operations, the monitoring of that environment with the security. So, so BlueVoyant has done a great job sort of pivoting and figuring out how they can add value to customers and do, you know, because they they're managing not just one Splunk instance, but they're managing 100s of Splunk cloud instances. And so they've got best practices and automation that they can play across their entire client base. And I think you're going to see a lot more of that. And, and Teresa's just, Teresa is just, she loves Partners, absolutely loves Partners. And that was just obvious. You could, you could hear it in her voice. You could see it in her body language, you know, when she talked about Partnerverse. So I think you'll see us start to really get a lot more serious. Cause as big as Splunk is like our pro serve and support teams are not going to scale for the next 10,000, 100,000 Splunk customers. And we really need to like really think about how we use Partners. >> There's a real growth wave. And I, and I love the multiples wave in parallel because I think that's what everyone's consensus on. So I have to ask you as a final question, what's your takeaway? Obviously, there's been a virtual studio here where all the Splunk executives and, and, and customers and partners are here. TheCUBE's here doing all the presentations, live by the way. It was awesome. What would you say the takeaway is for this .conf, for the people watching and consuming all the content online? A lot of asynchronous consumption would be happening. >> Sure. >> What's your takeaway from this year's Splunk .conf? >> You know, I, it's hard cause you know, you get so close to it and we've rehearsed this thing so many times, you know, the feedback that I got and if you look at Twitter and you look at my Slack and everything else, like this felt like a conf that was like kind of like a really genuine, almost like a Splunk two dot O. But it's sort of true to the roots of what Splunk was true to the product reality. I mean, you know, I was really careful with my team and to avoid any whiff of vaporware, like what were, what we wanted to show was like, look, this is Splunk, we're acquiring companies, you know, 43 major releases, you know, 100s of small ones. Like we're continuing to innovate on your behalf as fast as we can. And hopefully this is the last virtual conf. But even when we go back, like there was so much good about the way we did this this week, that, you know, when we, when we broke yesterday on the keynote and we were sitting around with the crew and it kind of looking at that stage and everything, we were like, wow, there is a lot of this that we want to bring to an in-person event as well. Cause so for those that want to travel and come sit in the room with us, we're super excited to do that as soon as we can. But, but then, you know, there may be 25, 50, 100,000 that don't want to travel, but can access us via this virtual event. >> It's like a time. It's a moment in time that becomes a timeless moment. That could be, >> Wow, did you make that up right now? >> that could be an NFT. >> Yeah >> We can make a global cryptocurrency. Garth, great to see you. Of course I made it up right then. So, great to see you. >> Air bump, air bump? Okay, good. >> Okay. Garth Fort, senior vice president, Chief Product Officer. In theCUBE here, we're live on site at Splunk Studio for the .conf virtual event. I'm John Furrier. Thanks for watching. >> All right. Thank you guys. (upbeat music)

>>from around the globe. It's the >>cube >>With digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cube coverage of IBM Think 2021. I'm john for the host of the cube here for virtual event Cameron Siva who's here with corporate vice president with a M. D. Uh CVP and business development. Great to see you. Thanks for coming on the cube. >>Nice to be. It's an honor to be here. >>You know, love A. M. D. Love the growth, love the processors. Epic 7000 and three series was just launched. Its out in the field. Give us a quick overview of the of the of the processor, how it's doing and how it's going to help us in the data center and the edge >>for sure. No this is uh this is an exciting time for A. M. D. This is probably one of the most exciting times uh to be honest and in my 2020 plus years of uh working in sex industry, I think I've never been this excited about a new product as I am about the the third generation ethic processor that were just announced. Um So the Epic 7003, what we're calling it a series processor. It's just a fantastic product. We not only have the fastest server processor in the world with the AMG Epic 7763 but we also have the fastest CPU core so that the process of being the complete package to complete socket and then we also the fastest poor in the world with the the Epic um 72 F three for frequency. So that one runs run super fast on each core. And then we also have 64 cores in the CPU. So it's it's addressing both kind of what we call scale up and scale out. So it's overall overall just just an enormous, enormous product line that that I think um you know, we'll be we'll be amazing within within IBM IBM cloud. Um The processor itself includes 256 megabytes of L three cache, um you know, cash is super important for a variety of workloads in the large cache size. We have shown our we've seen scale in particular cloud applications, but across the board, um you know, database, uh java all sorts of things. This processor is also based on the Zen three core, which is basically 19% more instructions per cycle relative to ours, N two. So that was the prior generation, the second generation Epic Force, which is called Rome. So this this new CPU is actually quite a bit more capable. It runs also at a higher frequency with both the 64 4 and the frequency optimized device. Um and finally, we have um what we call all in features. So rather than kind of segment our product line and charge you for every little, you know, little thing you turn on or off. We actually have all in features includes, you know, really importantly security, which is becoming a big, big team and something that we're partnering with IBM very closely on um and then also things like 628 lanes of pc I E gen four, um are your faces that grew up to four terabytes so you can do these big large uh large um in memory databases. The pc I interfaces gives you lots and lots of storage capability so all in all super products um and we're super excited to be working with IBM honest. >>Well let's get into some of the details on this impact because obviously it's not just one place where these processes are going to live. You're seeing a distributed surface area core to edge um, cloud and hybrid is now in play. It's pretty much standard now. Multi cloud on the horizon. Company's gonna start realizing, okay, I gotta put this to work and I want to get more insights out of the data and civilian applications that are evolving on this. But you guys have seen some growth in the cloud with the Epic processors, what can customers expect and why our cloud providers choosing Epic processors, >>you know, a big part of this is actually the fact that I that am be um delivers upon our roadmap. So we, we kind of do what we say and say what we do and we delivered on time. Um so we actually announced I think was back in august of 2019, their second generation, Epic part and then now in March, we are now in the third generation. Very much on schedule. Very much um, intern expectations and meeting the performance that we had told the industry and told our customers that we're going to meet back then. So it's a really super important pieces that our customers are now learning to expect performance, jenin, Jenin and on time from A. M. D, which is, which is uh, I think really a big part of our success. The second thing is, I think, you know, we are, we are a leader in terms of the core density that we provide and cloud in particular really values high density. So the 64 cores is absolutely unique today in the industry and that it has the ability to be offered both in uh bare metal. Um, as we have been deployed in uh, in IBM cloud and also in virtualized type environment. So it has that ability to spend a lot of different use cases. Um and you can, you know, you can run each core uh really fast, But then also have the scale out and then be able to take advantage of all 64 cores. Each core has two threads up to 128 threads per socket. It's a super powerful uh CPU and it has a lot of value for um for the for the cloud cloud provider, they're actually about over 400 total instances by the way of A. M. D processors out there. And that's all the flavors, of course, not just that they're generation, but still it's it's starting to really proliferate. We're trying to see uh M d I think all across the cloud, >>more cores, more threads all goodness. I gotta ask you, you know, I interviewed Arvin the ceo of IBM before he was Ceo at a conference and you know, he's always been, I know him, he's always loved cloud, right? So, um, but he sees a little bit differently than just being like copying the clouds. He sees it as we see it unfolding here, I think Hybrid. Um, and so I can almost see the playbook evolving. You know, Red has an operating system, Cloud and Edge is a distributed system, it's got that vibe of a system architecture, almost got processors everywhere. Could you give us a sense of the over an overview of the work you're doing with IBM Cloud and what a M. D s role is there? And I'm curious, could you share for the folks watching too? >>For sure. For sure. By the way, IBM cloud is a fantastic partner to work with. So, so, first off you talked about about the hybrid, hybrid cloud is a really important thing for us and that's um that's an area that we are definitely focused in on. Uh but in terms of our specific joint partnerships and we do have an announcement last year. Um so it's it's it's somewhat public, but we are working together on Ai where IBM is a is an undisputed leader with Watson and some of the technologies that you guys bring there. So we're bringing together, you know, it's kind of this real hard work goodness with IBM problems and know how on the AI side. In addition, IBM is also known for um you know, really enterprise grade, yeah, security and working with some of the key sectors that need and value, reliability, security, availability, um in those areas. Uh and so I think that partnership, we have quite a bit of uh quite a strong relationship and partnership around working together on security and doing confidential computer. >>Tell us more about the confidential computing. This is a joint development agreement, is a joint venture joint development agreement. Give us more detail on this. Tell us more about this announcement with IBM cloud, an AMG confidential computing. >>So that's right. So so what uh you know, there's some key pillars to this. One of this is being able to to work together, define open standards, open architecture. Um so jointly with an IBM and also pulling in something assets in terms of red hat to be able to work together and pull together a confidential computer that can so some some key ideas here, we can work with work within a hybrid cloud. We can work within the IBM cloud and to be able to provide you with, provide, provide our joint customers are and customers with uh with unprecedented security and reliability uh in the cloud, >>what's the future of processors, I mean, what should people think when they expect to see innovation? Um Certainly data centers are evolving with core core features to work with hybrid operating model in the cloud. People are getting that edge relationship basically the data centers a large edge, but now you've got the other edges, we got industrial edges, you got consumers, people wearables, you're gonna have more and more devices big and small. Um what's the what's the road map look like? How do you describe the future of a. M. D. In in the IBM world? >>I think I think R I B M M D partnership is bright, future is bright for sure, and I think there's there's a lot of key pieces there. Uh you know, I think IBM brings a lot of value in terms of being able to take on those up earlier, upper uh layers of software and that and the full stack um so IBM strength has really been, you know, as a systems company and as a software company. Right, So combining that with the Andes Silicon, uh divided and see few devices really really is is it's a great combination, I see, you know, I see um growth in uh you know, obviously in in deploying kind of this, this scale out model where we have these very large uh large core count Cpus I see that trend continuing for sure. Uh you know, I think that that is gonna, that is sort of the way of the future that you want cloud data applications that can scale across multi multiple cores within the socket and then across clusters of Cpus with within the data center um and IBM is in a really good position to take advantage of that to go to, to to drive that within the cloud. That income combination with IBM s presence on prem uh and so that's that's where the hybrid hybrid cloud value proposition comes in um and so we actually see ourselves uh you know, playing in both sides, so we do have a very strong presence now and increasingly so on premises as well. And we we partner we were very interested in working with IBM on the on on premises uh with some of some of the key customers and then offering that hybrid connectivity onto, onto the the IBM cloud as well. >>I B M and M. D. Great partnership, great for clarifying and and sharing that insight come, I appreciate it. Thanks for for coming on the cube, I do want to ask you while I got you here. Um kind of a curveball question if you don't mind. As you see hybrid cloud developing one of the big trends is this ecosystem play right? So you're seeing connections between IBM and their and their partners being much more integrated. So cloud has been a big KPI kind of model. You connect people through a. P. I. S. There's a big trend that we're seeing and we're seeing this really in our reporting on silicon angle the rise of a cloud service provider within these ecosystems where hey, I could build on top of IBM cloud and build a great business. Um and as I do that, I might want to look at an architecture like an AMG, how does that fit into to your view as a doing business development over at A. M. D. I mean because because people are building on top of these ecosystems are building their own clouds on top of cloud, you're seeing data. Cloud, just seeing these kinds of clouds, specialty clouds. So I mean we could have a cute cloud on top of IBM maybe someday. So, so I might want to build out a whole, I might be a cloud. So that's more processors needed for you. So how do you see this enablement? Because IBM is going to want to do that, it's kind of like, I'm kind of connecting the dots here in real time, but what's your, what's your take on that? What's your reaction? >>I think, I think that's I think that's right and I think m d isn't, it isn't a pretty good position with IBM to be able to, to enable that. Um we do have some very significant osD partnerships, a lot of which that are leveraged into IBM um such as Red hat of course, but also like VM ware and Nutanix. Um this provide these always V partners provide kind of the base level infrastructure that we can then build upon and then have that have that A P I. And be able to build build um uh the the multi cloud environments that you're talking about. Um and I think that, I think that's right. I think that is that is one of the uh you know, kind of future trends that that we will see uh you know, services that are offered on top of IBM cloud that take advantage of the the capabilities of the platform that come with it. Um and you know, the bare metal offerings that that IBM offer on their cloud is also quite unique um and hyper very performance. Um and so this actually gives um I think uh the the kind of uh call the medic cloud that unique ability to kind of go in and take advantage of the M. D. Hardware at a performance level and at a um uh to take advantage of that infrastructure better than they could in another cloud environments. I think that's that's that's actually very key and very uh one of the one of the features of the IBM problems that differentiates it >>so much headroom there corns really appreciate you sharing that. I think it's a great opportunity. As I say, if you're you want to build and compete. Finally, there's no with the white space with no competition or be better than the competition. So as they say in business, thank you for coming on sharing. Great great future ahead for all builders out there. Thanks for coming on the cube. >>Thanks thank you very much. >>Okay. IBM think cube coverage here. I'm john for your host. Thanks for watching. Mm

>>from around the globe. It's the >>cube with >>Digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cube coverage of IBM Think 2021. I'm john for the host of the cube here for virtual event Cameron Siva who's here with corporate vice president with a M. D. Uh CVP and business development. Great to see you. Thanks for coming on the cube. >>Nice to be. It's an honor to be here. >>You know, love A. M. D. Love the growth, loved the processors. Epic 7000 and three series was just launched its out in the field. Give us a quick overview of the of the of the processor, how it's doing and how it's going to help us in the data center on the edge >>for sure. No this is uh this is an exciting time for A. M. D. This is probably one of the most exciting times uh to be honest and in my 2020 plus years of uh working in sex industry, I think I've never been this excited about a new product as I am about the the third generation Epic processor that we just announced. Um So the Epic 7003, what we're calling it a serious processor. It's just a fantastic product. We not only have the fastest server processor in the world with the AMG Epic 7763 but we also have the fastest CPU core so that the process of being the complete package, the complete socket and then we also the fastest poor in the world with the the Epic um 72 F three for frequency. So that one runs run super fast on each core. And then we also have 64 cores in the CPU. So it's it's addressing both kind of what we call scale up and scale out. So it's overall overall just just an enormous, enormous product line that that I think um you know, we'll be we'll be amazing within within IBM IBM cloud. Um The processor itself includes 256 megabytes of L three cache. Um you know, cash is super important for a variety of workloads in the large cat size. We have shown our we've seen scale in particular cloud applications, but across the board, um you know, database, uh java whole sorts of things. This processor is also based on the Zen three core, which is basically 19% more instructions per cycle relative to ours, N two. So that was the prior generation, the second generation Epic Force, which is called Rome. So this this new CPU is actually quite a bit more capable. It runs also at a higher frequency with both the 64 4 and the frequency optimized device. Um and finally, we have um we call all in features so rather than kind of segment our product line and charge you for every little, you know, little thing you turn on or off. We actually have all in features includes, you know, really importantly security, which is becoming a big, big team and something that we're partnering with IBM very closely on um and then also things like 628 lanes of pc I E gen four, um are your faces that grew up to four terabytes so you can do these big large uh large um in memory databases, the Pc I interfaces gives you lots and lots of storage capability. So all in all super products um and we're super excited to be working with IBM honest. >>Well, let's get into some of the details on this impact because obviously it's not just one place where these processes are gonna live. You're seeing a distributed surface area core to edge um cloud and hybrid is now in play. It's pretty much standard now. Multi cloud on the horizon. Company's gonna start realizing, okay, I gotta put this to work and I want to get more insights out of the data and civilian applications that are evolving on this. But you guys have seen some growth in the cloud with the Epic processors, what can customers expect and why our cloud providers choosing Epic processors, >>you know, a big part of this is actually the fact that I that am d um delivers upon our roadmap. So we we kind of do what we say and say what we do and we delivered on time. Um so we actually announced I think was back in august of 2019, their second generation. That big part and then now in March, we are now in the third generation, very much on schedule, very much um intent, expectations and meeting the performance that we had told the industry and told our customers that we're going to meet back then. So it's a really super important pieces that our customers are now learning to expect performance, jenin, jenin and on time from A. M. D, which is, which is uh, I think really a big part of our success. The second thing is, I think, you know, we are, we are a leader in terms of the core density that we provide and cloud in particular really values high density. So the 64 cores is absolutely unique today in the industry and that it has the ability to be offered both in uh, bare metal, um, as we have been deployed in uh, in IBM Club and also in virtualized type environment. So it has that ability to spend a lot of different use cases. Um And you can, you know, you can run each core really fast, But then also have the scale out and then be able to take advantage of all 64 cores. Each core has two threads up to 128 threads per socket. It's a super powerful uh CPU and it has a lot of value for um for the with a cloud cloud provider, they're actually about over 400 total instances by the way of A. M. D. Processors out there. And that's all the flavors, of course, not just that they're generation, but still it's it's starting to really proliferate. We're trying to see uh M d I think all across the cloud, >>more cores, more threads all goodness. I gotta ask you, you know, I interviewed Arvin the Ceo of IBM before he was Ceo at a conference and you know, he's always been I know him, he's always loved cloud, right? So, um but he sees a little bit differently than just being like copying the clouds. He sees it as we see it unfolding here. I think Hybrid. Um and so I can almost see the playbook evolving. You know, Red has an operating system. Cloud and Edge is a distributed system. It's got that vibe of a system architecture, you got processors everywhere. Could you give us a sense of the over an overview of the work you're doing with IBM Cloud and what a M. D s role is there? And I'm curious could you share for the folks watching too? >>For sure. For sure. By the way, IBM cloud is a fantastic partner to work with. So, so, first off you talked about about the hybrid, hybrid cloud is a really important thing for us and that's um that's an area that we are definitely focused in on, uh but in terms of our specific joint partnerships and we did an announcement last year, so it's it's it's somewhat public, but we are working together on ai where IBM is a is an undisputed leader with Watson and some of the technologies that you guys bring there. So we're bringing together, you know, it's kind of this real hard work goodness with IBM s progress and know how on the AI side. In addition, IBM is also known for um you know, really enterprise grade, yeah, security and working with some of the key sectors that need and value, reliability, security, availability um in those areas. Uh and so I think that partnership, we have quite a bit of uh quite a strong relationship and partnership around working together on security and doing confidential computer. >>Tell us more about the confidential computing. This is a joint development agreement, is a joint venture joint development agreement. Give us more detail on this. Tell us more about this announcement with IBM cloud, an AMG confidential computing. >>So that's right. So so what uh, you know, there's some key pillars to this. One of us is being able to to work together, define open standards, open architecture. Um so jointly with an IBM and also pulling in some of the assets in terms of red hat to be able to work together and pull together a confidential computer that can so some some key ideas here, we can work with, work within a hybrid cloud. We can work within the IBM cloud and to be able to provide you with, provide, provide our joint customers are and customers with with with unprecedented security and reliability uh in the cloud, >>what's the future of processors? I mean, what should people think when they expect to see innovation? Um Certainly data centers are evolving with core core features to work with hybrid operating model in the cloud. People are getting that edge relationship basically the data centers a large edge, but now you've got the other edges, we got industrial edges, you got consumers, people wearables. You're gonna have more and more devices big and small. Um What's the what's the road map look like? How do you describe the future of a. M. D. In in the IBM world? >>I think I think R I B M M. D partnership is bright, future is bright for sure, and I think there's there's a lot of key pieces there. Uh you know, I think IBM brings a lot of value in terms of being able to take on those up earlier, upper uh layers of software and that and the full stack um so IBM strength has really been, you know, as a systems company and as a software company. Right? So combining that with the Andes silicon, uh divide and see few devices really really is is it's a great combination. I see, you know, I see um growth in uh you know, obviously in in deploying kind of this, this scale out model where we have these very large uh large core count cpus, I see that trend continuing for sure. Uh you know, I think that that is gonna that is sort of the way of the future that you want cloud data applications that can scale across multi multiple cores within the socket and then across clusters of Cpus with within the data center. Um and IBM is in a really good position to take advantage of that to go to to to drive that within the cloud. That income combination with IBM s presence on prem. Uh and so that's that's where the hybrid hybrid cloud value proposition comes in. Um and so we actually see ourselves uh you know, playing in both sides. So we do have a very strong presence now and increasingly so on premises as well. And we we partner we were very interested in working with IBM on the on on premises uh with some of some of the key customers and then offering that hybrid connectivity onto, onto the the IBM cloud as >>well. I B M and M. D. Great partnership, great for clarifying and and sharing that insight come. I appreciate it. Thanks for for coming on the cube. I do want to ask you while I got you here. Um kind of a curveball question if you don't mind. You know, as you see hybrid cloud developing one of the big trends is this ecosystem play, right? So you're seeing connections between IBM and their and their partners being much more integrated. So cloud has been a big KPI kind of model. You connect people through a. P. I. S. There's a big trend that we're seeing and we're seeing this really in our reporting on silicon angle the rise of a cloud service provider within these ecosystems where hey, I could build on top of IBM cloud and build a great business. Um and as I do that, I might want to look at an architecture like an AMG, how does that fit into to your view as a doing business development over at AMG because because people are building on top of these ecosystems are building their own clouds on top of clouds, just seeing data cloud, just seeing these kinds of clouds, specialty clouds. So we could have a cute cloud on on top of IBM maybe someday. So, so I might want to build out a whole, I might be a cloud, so that's more processors needed for you. So how do you see this enablement? Because IBM is going to want to do that, it's kind of like, I'm kind of connecting the dots here in real time, but what's your, what's your take on that? What's your reaction? >>I think, I think that's I think that's right and I think m d isn't it isn't a pretty good position with IBM to be able to to enable that. Um we do have some very significant OsD partnerships, a lot of which that are leveraged into IBM um such as red hat of course, but also like VM ware and Nutanix. Um this provide these OS V partners provide kind of the base level infrastructure that we can then build upon and then have that have that A P. I. And be able to build, build um uh the the multi cloud environments that you're talking about. Um and I think that I think that's right, I think that is that is one of the uh you know, kind of future trends that that we will see uh you know, services that are offered on top of IBM cloud that take advantage of the the capabilities of the platform that come with it. Um and you know, the bare metal offerings that that IBM offer on their cloud is also quite unique um and hyper very performance. Um and so this actually gives um I think uh the the kind of uh I've been called a meta cloud, that unique ability to kind of go in and take advantage of the M. D. Hardware at a performance level and at a um uh to take advantage of that infrastructure better than they could in another crowd environments. I think that's that's that's actually very key and very uh one of the, one of the features of the IBM problems that differentiates it >>so much headroom there corns really appreciate you sharing that. I think it's a great opportunity. As I say, if you're you want to build and compete. Finally, there's no with the white space, with no competition or be better than the competition. So as they say in business, thank you for coming on sharing. Great, great future ahead for all builders out there. Thanks for coming on the cube. >>Thanks thank you very >>much. Okay. IBM think cube coverage here. I'm john for your host. Thanks for watching. Mm mm

>> From theCUBE studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is breaking analysis with Dave Vellante. >> Robotic process automation solutions remain one of the most attractive investments for IT buyers. This is despite our overall 2020 IT spending forecast, which remained depressed at minus four to minus 5% for the year. Relative to previous surveys, we do see some softness in traditional RPA strongholds such as large financial services and big insurance and giant public and privates. But RPA relative to other IT investments remains at the top as a sector with the highest spending momentum ahead of machine learning, ahead of AI, ahead of containers, and ahead of cloud computing. Hello, everyone, this is Dave Vellante, and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis, we want to update you on the latest RPA trends and share fresh ETR data with our community. So let's get right into it with a quick summary. Now, as I said, despite our pretty tepid IT spending outlook for the entire year in 2020, demand for RPA software continues to grow at a 60 to 70% clip. Now remember, RPA mimics human computer interactions, it uses software scripts or robots that execute human tasks in a runtime assembly of discrete steps. The practice first became popular for back office functions mostly, is unattended bots. The pandemic appears to be accelerating front office adoption and this is creating a bit of a schism between front and back office. Digital transformation initiatives in many ways, they're going to create the connective tissue between front and back of the house. Now competitive dynamics are heating up. The two emergent leaders Automation Anywhere and UiPath are separating from the pack. Large incumbent software vendors like Microsoft, IBM and SAP are entering the market and positioning RPA as a feature. Meanwhile, legacy business process automation players continue to focus on taking their install bases on a broader automation journey. However, all three of these constituents are on a collision course in our view, where deeper automation objective is kind of the North Star. Now there are two material changes to our previous scenario. First, we've expanded our thinking on the RPA TAM, and we're extending this toward a broader automation agenda more consistent with buyer goals. In other words, the TAM is much larger than we initially thought, and we'll explain why. Second, we no longer see this as a winner take all or even winner take most market. In this segment, we'll look deeper into the leaders and share some new data. In particular, well, it appeared in our previous analysis that UiPath was running the table in the market, we see a much more textured, competitive dynamic setting up. And the data suggests that other players including Automation Anywhere, and even some of the larger incumbents will challenge UiPath for leadership in this space. Now, as with many developing software markets, the ultimate leader is not crystal clear at this point. Let's talk about the effects of the pandemic. A conventional wisdom really suggests and by the way, we would agree that the automation mandate has accelerated by several years due to Coronavirus. It's three points here. One is that yes, COVID has put digital transformation on the front burner of executives priority lists. Second is automation isn't trivial. So there's a real difference between wanting and achieving. And third, we believe there's another driver for the automation mandate, which will survive a vaccine or herd immunity, and that is the productivity gap. So this chart here underscores that point and was brought to our attention by a friend of ours, Dave Moschella. Specifically, we've seen a noticeable decline in productivity in the US and EU, since remember the personal productivity boom from the personal computer? The PC and the internet brought forth those trends in Moschella's premise and we agree is that in order to solve the grand challenges of the 2020s and beyond automation is going to be necessary. Think about climate change, global competitiveness, aging populations and infrastructure, massive deficits, mass immigration, sustainable food sources, healthcare. These are all going to require huge injections of automation into the system to solve problems associated with these areas. Human labor just isn't the answer. So this in part has influenced our expanded thinking on the total available market. The diagram we're showing here updates our expectations on the TAM for RPA. The first takeaway is that we're envisioning a market for business automation well beyond software bots, which are represented really in the first two layers, that back office and front office divide, if you will. And we see that coming together in the third layer, those two are really going to happen through digital transformation initiatives. But we also envision a massive market for automated decision making, and very deep business integration where systems are communicating to each other, system to system, machine to machine, and also making real time decisions on behalf of humans. Sometimes we call that systems of agency. Now, I won't go deep into this TAM, as it's a bit academic, but suffice it to say this is an enormous market comprising many layers of the tech stack and services stacks. And this represents a serious opportunities for multiple players, both vendors and buyers. Okay, let's get a little bit more tactical and look at the spending data, the latest spending data, from the ETR survey. The chart we're showing here is one of our favorites. And it compares leading RPA vendors on two dimensions. The y-axis is net score or spending momentum. It's a simple metric, that for this last survey asked buyers are you spending more or less in the second half of the year than you had originally planned. Net score is derived by subtracting the lesses from the mores, and is really shown in the upper right of this chart. You can see that in the green highlights. Note that the total N in the survey is around 1200. And you can see that the number of responses for each vendor is shown in the upper right in that gray area. We eliminated any RPA vendor that didn't get at least 25 mentions in responses in the survey. And you can see that Automation Anywhere and UiPath have essentially traded positions on the vertical axis. Indicating that Automation Anywhere customers expect greater spending momentum with the company than UiPath customers for the second half of this year, than they did in the first half. UiPath at 62% net score is still very, very high but this marks the first time since our reporting that AA, has taken the lead ahead of UiPath in net score. And the small arrow show the general direction of their respective momentum over the last couple of surveys, and I'll discuss this later on. Now on this chart, you can also see Blue Prism and Pegasystems and, while they're significantly below Automation Anywhere and UiPath, these are very respectable net scores for more mature players like these. But I don't really consider them RPA specialists, and especially Pega. I mean, they have an automation play well beyond RPA and have built really an awesome business and in many ways are benefiting from the hype being created by the newbies. I have to say I'm in awe of the business that Alan Trefler and his team have built. We're talking about a billion dollar company here. They've got a valuation, over 9 billion, the stock's near an all time high, and they never took a dime of outside capital prior to their IPO, which is just unreal. Oh, yeah, one more thing I want to call your attention to. There's Microsoft with power automate, and kind of crashing the party with a 1.0 product that is making some noise in the marketplace. Now on the y-axis, you can see UiPath has the market share lead, but I want to remind you what this is. Market shares I mentioned of pervasiveness in the data set in the survey and is, calculated by dividing the number of mentions for a vendor in a sector by the total mentions in the survey. So you can see that UiPath has the share of voice lead, but it's still under 10% of the total survey base. So lots of room for this market to grow. But I want to make an important note here because UiPath has historically been a collection of point products, whereas Automation Anywhere their go to market typically involves going to larger accounts and selling this sort of Mongo and digital transformation project to the line of business. As I said earlier, these two and other companies are on a collision course because that is the big prize. UiPath has restructured its product and pricing strategy, done some acquisitions to go after this. But it stands to reason that UiPath has a bigger presence in the ETR data set as measured by market share. So it makes sense that Automation Anywhere, their number one net score position, it makes it even more impressive. Now the other nuance is that ETR tends to be somewhat weighted to the IT side of the house. And although it most certainly picks up line of business spending, there's a bias in the data toward IT. So that means RPA is most likely even stronger in the context of spending initiatives, and it's already number one relative to other sectors. So that's pretty impressive. Now let's look at how net score has changed over time. This chart shows the change in net score or spending momentum for Automation Anywhere, UiPath, Blue Prism and Pegasystems over the last three survey periods. You see last October, this past April, the height of the lockdown in the US and the most recent July survey. And here you see that Automation Anywhere is accelerating and taking the lead over UiPath. And is the only one in the chart growing net score. Again, UiPath remains elevated despite the relative decline from previous surveys. The other two, I have to caution you again, the Pegasystems for example, and they're killing it in the market. The stock is up nearly 40% year to date, it's over 60% in the last 12 months. So because they're not so RPA only focused and they really are not an IT play per se, the survey data has to be digested in that context. But you do see them coming down from elevated levels last October. Now here's a time series view of that net score. This chart really what it does is it just extends the timeframe and shows more granularity of survey data back to January 2018. So we're talking about 11, quarterly survey data points and snapshots here. This really underscores the power of the ETR platform, because you can stretch the data over time. And you'll see Automation Anywhere overtakes UiPath for the first time since we started capturing the segment. UiPath along with the other shows a noticeable decline in net score in this survey, except for Microsoft, who's, you know, they're just showing up, as I said, they're elbowing their way into the marketplace. Now let's take that same sort of time series view but let's flip to market share. And this next chart shows that other favorite metric that we use all the time as market share or pervasiveness in the dataset, over a time series. Now remember, this is really mentions as a percent of the total. It's not an indication of spending amount, but it's a data point and we pay attention to this. And you can see how UiPath broke away from the pack. They did this back in October 2018, and that coincides with their big push on things like, events, and training, they really have done a good job of building a presence and awareness in the market. I've superimposed on the chart the upper left corner for context that shows net scores in the green and shared N in the gray. It's sorted off of that shared N. This refers to the number of mentions in the dataset for each vendor out of the 1192 total responses. So some of these have small Ns. So I'm not going to put too much emphasis on this except, that UiPath escalation is notable and hopefully I've explain that sufficiently. Okay, let's wrap. So we talked about the automation mandate, and the COVID wrecking ball effect. But it's more than that. The productivity pressures on the US and EU in particular make it exceedingly difficult to just throw labor at the world's grand problems. So this has opened up an enormous opportunity for technology companies and practitioners to drive automation. You know, we said this during the initial in the early days of the big data era. In fact, Peter Goldmacher, had this discussion with us on theCUBE really in the early part of last decade, that those companies that can implement automation at the time he was talking about big data are going to be the big big winners. So it's not just the tech players. Now of course, as we've seen, many of the big tech companies are benefiting enormously from the mega automation trend, but the broader set of industries has massive, massive upside. Now what this sets up is a multi-dimensional competitive environment. We have Automation Anywhere and UiPath battling it out to achieve escape velocity. Automation Anywhere just brought in Chris Riley to run go to market. So you know they're serious. He's a player who understands complex enterprise selling. And now you have UiPath, they're hiring engineers as fast as they can. And the other dimension is a classic battle of best of breed specialists like Automation Anywhere and UiPath, up against the bundlers, selling RPA as a feature of their services. Microsoft, IBM, SAP, etc, all see automation is a huge opportunity and everyone's going to hop on the bandwagon because this is worth hundreds of billions of dollars, at least. Okay. Thanks for watching this episode of theCUBE Insights powered by ETR. Remember all these episodes are available as podcasts wherever you listen. Check it out, we've also put up an archive of all the breaking analysis segments on wikibon.com. There's a link on the menu bar right at the top of the homepage that has all 46 episodes that we've done since inception. I write weekly on that wikibon.com platform and I also publish on siliconangle.com where you can find all the relevant news. And don't forget to check out etr.plus for all the survey data and analysis. Go there and sign up for a trial of the software. It's awesome. Okay, this is Dave Vellante, be well, and we'll see you next time. (bright music)

>> Announcer: From around the globe, it's the queue with digital coverage of DockerCon live 2020. Brought to you by Docker and its ecosystem partners. >> Welcome, welcome, welcome to DockerCon 2020. We got over 50,000 people registered so there's clearly a ton of interest in the world of Docker and Eddie's as I like to call it. And we've assembled a power panel of Open Source and cloud native experts to talk about where things stand in 2020 and where we're headed. I'm Shawn Conley, I'll be the moderator for today's panel. I'm also a proud alum of JBoss, Red Hat, SpringSource, VMware and Hortonworks and I'm broadcasting from my hometown of Philly. Our panelists include; Michelle Noorali, Senior Software Engineer at Microsoft, joining us from Atlanta, Georgia. We have Kelsey Hightower, Principal developer advocate at Google Cloud, joining us from Washington State and we have Chris Aniszczyk, CTO CIO at the CNCF, joining us from Austin, Texas. So I think we have the country pretty well covered. Thank you all for spending time with us on this power panel. Chris, I'm going to start with you, let's dive right in. You've been in the middle of the Docker netease wave since the beginning with a clear focus on building a better world through open collaboration. What are your thoughts on how the Open Source landscape has evolved over the past few years? Where are we in 2020? And where are we headed from both community and a tech perspective? Just curious to get things sized up? >> Sure, when CNCF started about roughly four, over four years ago, the technology mostly focused on just the things around Kubernetes, monitoring communities with technology like Prometheus, and I think in 2020 and the future, we definitely want to move up the stack. So there's a lot of tools being built on the periphery now. So there's a lot of tools that handle running different types of workloads on Kubernetes. So things like Uvert and Shay runs VMs on Kubernetes, which is crazy, not just containers. You have folks that, Microsoft experimenting with a project called Kruslet which is trying to run web assembly workloads natively on Kubernetes. So I think what we've seen now is more and more tools built around the periphery, while the core of Kubernetes has stabilized. So different technologies and spaces such as security and different ways to run different types of workloads. And at least that's kind of what I've seen. >> So do you have a fair amount of vendors as well as end users still submitting in projects in, is there still a pretty high volume? >> Yeah, we have 48 total projects in CNCF right now and Michelle could speak a little bit more to this being on the DOC, the pipeline for new projects is quite extensive and it covers all sorts of spaces from two service meshes to security projects and so on. So it's ever so expanding and filling in gaps in that cloud native landscape that we have. >> Awesome. Michelle, Let's head to you. But before we actually dive in, let's talk a little glory days. A rumor has it that you are the Fifth Grade Kickball Championship team captain. (Michelle laughs) Are the rumors true? >> They are, my speech at the end of the year was the first talk I ever gave. But yeah, it was really fun. I wasn't captain 'cause I wasn't really great at anything else apart from constantly cheer on the team. >> A little better than my eighth grade Spelling Champ Award so I think I'd rather have the kickball. But you've definitely, spent a lot of time leading an Open Source, you've been across many projects for many years. So how does the art and science of collaboration, inclusivity and teamwork vary? 'Cause you're involved in a variety of efforts, both in the CNCF and even outside of that. And then what are some tips for expanding the tent of Open Source projects? >> That's a good question. I think it's about transparency. Just come in and tell people what you really need to do and clearly articulate your problem, more clearly articulate your problem and why you can't solve it with any other solution, the more people are going to understand what you're trying to do and be able to collaborate with you better. What I love about Open Source is that where I've seen it succeed is where incentives of different perspectives and parties align and you're just transparent about what you want. So you can collaborate where it makes sense, even if you compete as a company with another company in the same area. So I really like that, but I just feel like transparency and honesty is what it comes down to and clearly communicating those objectives. >> Yeah, and the various foundations, I think one of the things that I've seen, particularly Apache Software Foundation and others is the notion of checking your badge at the door. Because the competition might be between companies, but in many respects, you have engineers across many companies that are just kicking butt with the tech they contribute, claiming victory in one way or the other might make for interesting marketing drama. But, I think that's a little bit of the challenge. In some of the, standards-based work you're doing I know with CNI and some other things, are they similar, are they different? How would you compare and contrast into something a little more structured like CNCF? >> Yeah, so most of what I do is in the CNCF, but there's specs and there's projects. I think what CNCF does a great job at is just iterating to make it an easier place for developers to collaborate. You can ask the CNCF for basically whatever you need, and they'll try their best to figure out how to make it happen. And we just continue to work on making the processes are clearer and more transparent. And I think in terms of specs and projects, those are such different collaboration environments. Because if you're in a project, you have to say, "Okay, I want this feature or I want this bug fixed." But when you're in a spec environment, you have to think a little outside of the box and like, what framework do you want to work in? You have to think a little farther ahead in terms of is this solution or this decision we're going to make going to last for the next how many years? You have to get more of a buy in from all of the key stakeholders and maintainers. So it's a little bit of a longer process, I think. But what's so beautiful is that you have this really solid, standard or interface that opens up an ecosystem and allows people to build things that you could never have even imagined or dreamed of so-- >> Gotcha. So I'm Kelsey, we'll head over to you as your focus is on, developer advocate, you've been in the cloud native front lines for many years. Today developers are faced with a ton of moving parts, spanning containers, functions, Cloud Service primitives, including container services, server-less platforms, lots more, right? I mean, there's just a ton of choice. How do you help developers maintain a minimalist mantra in the face of such a wealth of choice? I think minimalism I hear you talk about that periodically, I know you're a fan of that. How do you pass that on and your developer advocacy in your day to day work? >> Yeah, I think, for most developers, most of this is not really the top of mind for them, is something you may see a post on Hacker News, and you might double click into it. Maybe someone on your team brought one of these tools in and maybe it leaks up into your workflow so you're forced to think about it. But for most developers, they just really want to continue writing code like they've been doing. And the best of these projects they'll never see. They just work, they get out of the way, they help them with log in, they help them run their application. But for most people, this isn't the core idea of the job for them. For people in operations, on the other hand, maybe these components fill a gap. So they look at a lot of this stuff that you see in the CNCF and Open Source space as number one, various companies or teams sharing the way that they do things, right? So these are ideas that are put into the Open Source, some of them will turn into products, some of them will just stay as projects that had mutual benefit for multiple people. But for the most part, it's like walking through an ion like Home Depot. You pick the tools that you need, you can safely ignore the ones you don't need, and maybe something looks interesting and maybe you study it to see if that if you have a problem. And for most people, if you don't have that problem that that tool solves, you should be happy. No one needs every project and I think that's where the foundation for confusion. So my main job is to help people not get stuck and confused in LAN and just be pragmatic and just use the tools that work for 'em. >> Yeah, and you've spent the last little while in the server-less space really diving into that area, compare and contrast, I guess, what you found there, minimalist approach, who are you speaking to from a server-less perspective versus that of the broader CNCF? >> The thing that really pushed me over, I was teaching my daughter how to make a website. So she's on her Chromebook, making a website, and she's hitting 127.0.0.1, and it looks like geo cities from the 90s but look, she's making website. And she wanted her friends to take a look. So she copied and paste from her browser 127.0.0.1 and none of her friends could pull it up. So this is the point where every parent has to cross that line and say, "Hey, do I really need to sit down "and teach my daughter about Linux "and Docker and Kubernetes." That isn't her main goal, her goal was to just launch her website in a way that someone else can see it. So we got Firebase installed on her laptop, she ran one command, Firebase deploy. And our site was up in a few minutes, and she sent it over to her friend and there you go, she was off and running. The whole server-less movement has that philosophy as one of the stated goal that needs to be the workflow. So, I think server-less is starting to get closer and closer, you start to see us talk about and Chris mentioned this earlier, we're moving up the stack. Where we're going to up the stack, the North Star there is feel where you get the focus on what you're doing, and not necessarily how to do it underneath. And I think server-less is not quite there yet but every type of workload, stateless web apps check, event driven workflows check, but not necessarily for things like machine learning and some other workloads that more traditional enterprises want to run so there's still work to do there. So server-less for me, serves as the North Star for why all these Projects exists for people that may have to roll their own platform, to provide the experience. >> So, Chris, on a related note, with what we were just talking about with Kelsey, what's your perspective on the explosion of the cloud native landscape? There's, a ton of individual projects, each can be used separately, but in many cases, they're like Lego blocks and used together. So things like the surface mesh interface, standardizing interfaces, so things can snap together more easily, I think, are some of the approaches but are you doing anything specifically to encourage this cross fertilization and collaboration of bug ability, because there's just a ton of projects, not only at the CNCF but outside the CNCF that need to plug in? >> Yeah, I mean, a lot of this happens organically. CNCF really provides of the neutral home where companies, competitors, could trust each other to build interesting technology. We don't force integration or collaboration, it happens on its own. We essentially allow the market to decide what a successful project is long term or what an integration is. We have a great Technical Oversight Committee that helps shepherd the overall technical vision for the organization and sometimes steps in and tries to do the right thing when it comes to potentially integrating a project. Previously, we had this issue where there was a project called Open Tracing, and an effort called Open Census, which is basically trying to standardize how you're going to deal with metrics, on the tree and so on in a cloud native world that we're essentially competing with each other. The CNCF TC and committee came together and merged those projects into one parent ever called Open Elementary and so that to me is a case study of how our committee helps, bridges things. But we don't force things, we essentially want our community of end users and vendors to decide which technology is best in the long term, and we'll support that. >> Okay, awesome. And, Michelle, you've been focused on making distributed systems digestible, which to me is about simplifying things. And so back when Docker arrived on the scene, some people referred to it as developer dopamine, which I love that term, because it's simplified a bunch of crufty stuff for developers and actually helped them focus on doing their job, writing code, delivering code, what's happening in the community to help developers wire together multi-part modern apps in a way that's elegant, digestible, feels like a dopamine rush? >> Yeah, one of the goals of the(mumbles) project was to make it easier to deploy an application on Kubernetes so that you could see what the finished product looks like. And then dig into all of the things that that application is composed of, all the resources. So we're really passionate about this kind of stuff for a while now. And I love seeing projects that come into the space that have this same goal and just iterate and make things easier. I think we have a ways to go still, I think a lot of the iOS developers and JS developers I get to talk to don't really care that much about Kubernetes. They just want to, like Kelsey said, just focus on their code. So one of the projects that I really like working with is Tilt gives you this dashboard in your CLI, aggregates all your logs from your applications, And it kind of watches your application changes, and reconfigures those changes in Kubernetes so you can see what's going on, it'll catch errors, anything with a dashboard I love these days. So Yali is like a metrics dashboard that's integrated with STL, a service graph of your service mesh, and lets you see the metrics running there. I love that, I love that dashboard so much. Linkerd has some really good service graph images, too. So anything that helps me as an end user, which I'm not technically an end user, but me as a person who's just trying to get stuff up and running and working, see the state of the world easily and digest them has been really exciting to see. And I'm seeing more and more dashboards come to light and I'm very excited about that. >> Yeah, as part of the DockerCon just as a person who will be attending some of the sessions, I'm really looking forward to see where DockerCompose is going, I know they opened up the spec to broader input. I think your point, the good one, is there's a bit more work to really embrace the wealth of application artifacts that compose a larger application. So there's definitely work the broader community needs to lean in on, I think. >> I'm glad you brought that up, actually. Compose is something that I should have mentioned and I'm glad you bring that up. I want to see programming language libraries, integrate with the Compose spec. I really want to see what happens with that I think is great that they open that up and made that a spec because obviously people really like using Compose. >> Excellent. So Kelsey, I'd be remiss if I didn't touch on your January post on changelog entitled, "Monoliths are the Future." Your post actually really resonated with me. My son works for a software company in Austin, Texas. So your hometown there, Chris. >> Yeah. >> Shout out to Will and the chorus team. His development work focuses on adding modern features via micro services as extensions to the core monolith that the company was founded on. So just share some thoughts on monoliths, micro services. And also, what's deliverance dopamine from your perspective more broadly, but people usually phrase as monoliths versus micro services, but I get the sense you don't believe it's either or. >> Yeah, I think most companies from the pragmatic so one of their argument is one of pragmatism. Most companies have trouble designing any app, monolith, deployable or microservices architecture. And then these things evolve over time. Unless you're really careful, it's really hard to know how to slice these things. So taking an idea or a problem and just knowing how to perfectly compartmentalize it into individual deployable component, that's hard for even the best people to do. And double down knowing the actual solution to the particular problem. A lot of problems people are solving they're solving for the first time. It's really interesting, our industry in general, a lot of people who work in it have never solved the particular problem that they're trying to solve for the first time. So that's interesting. The other part there is that most of these tools that are here to help are really only at the infrastructure layer. We're talking freeways and bridges and toll bridges, but there's nothing that happens in the actual developer space right there in memory. So the libraries that interface to the structure logging, the libraries that deal with rate limiting, the libraries that deal with authorization, can this person make this query with this user ID? A lot of those things are still left for developers to figure out on their own. So while we have things like the brunettes and fluid D, we have all of these tools to deploy apps into those target, most developers still have the problem of everything you do above that line. And to be honest, the majority of the complexity has to be resolved right there in the app. That's the thing that's taking requests directly from the user. And this is where maybe as an industry, we're over-correcting. So we had, you said you come from the JBoss world, I started a lot of my Cisco administration, there's where we focus a little bit more on the actual application needs, maybe from a router that as well. But now what we're seeing is things like Spring Boot, start to offer a little bit more integration points in the application space itself. So I think the biggest parts that are missing now are what are the frameworks people will use for authorization? So you have projects like OPA, Open Policy Agent for those that are new to that, it gives you this very low level framework, but you still have to understand the concepts around, what does it mean to allow someone to do something and one missed configuration, all your security goes out of the window. So I think for most developers this is where the next set of challenges lie, if not actually the original challenge. So for some people, they were able to solve most of these problems with virtualization, run some scripts, virtualize everything and be fine. And monoliths were okay for that. For some reason, we've thrown pragmatism out of the window and some people are saying the only way to solve these problems is by breaking the app into 1000 pieces. Forget the fact that you had trouble managing one piece, you're going to somehow find the ability to manage 1000 pieces with these tools underneath but still not solving the actual developer problems. So this is where you've seen it already with a couple of popular blog posts from other companies. They cut too deep. They're going from 2000, 3000 microservices back to maybe 100 or 200. So to my world, it's going to be not just one monolith, but end up maybe having 10 or 20 monoliths that maybe reflect the organization that you have versus the architectural pattern that you're at. >> I view it as like a constellation of stars and planets, et cetera. Where you you might have a star that has a variety of, which is a monolith, and you have a variety of sort of planetary microservices that float around it. But that's reality, that's the reality of modern applications, particularly if you're not starting from a clean slate. I mean your points, a good one is, in many respects, I think the infrastructure is code movement has helped automate a bit of the deployment of the platform. I've been personally focused on app development JBoss as well as springsSource. The Spring team I know that tech pretty well over the years 'cause I was involved with that. So I find that James Governor's discussion of progressive delivery really resonates with me, as a developer, not so much as an infrastructure Deployer. So continuous delivery is more of infrastructure notice notion, progressive delivery, feature flags, those types of things, or app level, concepts, minimizing the blast radius of your, the new features you're deploying, that type of stuff, I think begins to speak to the pain of application delivery. So I'll guess I'll put this up. Michelle, I might aim it to you, and then we'll go around the horn, what are your thoughts on the progressive delivery area? How could that potentially begin to impact cloud native over 2020? I'm looking for some rallying cries that move up the stack and give a set of best practices, if you will. And I think James Governor of RedMonk opened on something that's pretty important. >> Yeah, I think it's all about automating all that stuff that you don't really know about. Like Flagger is an awesome progressive delivery tool, you can just deploy something, and people have been asking for so many years, ever since I've been in this space, it's like, "How do I do AB deployment?" "How do I do Canary?" "How do I execute these different deployment strategies?" And Flagger is a really good example, for example, it's a really good way to execute these deployment strategies but then, make sure that everything's happening correctly via observing metrics, rollback if you need to, so you don't just throw your whole system. I think it solves the problem and allows you to take risks but also keeps you safe in that you can be confident as you roll out your changes that it all works, it's metrics driven. So I'm just really looking forward to seeing more tools like that. And dashboards, enable that kind of functionality. >> Chris, what are your thoughts in that progressive delivery area? >> I mean, CNCF alone has a lot of projects in that space, things like Argo that are tackling it. But I want to go back a little bit to your point around developer dopamine, as someone that probably spent about a decade of his career focused on developer tooling and in fact, if you remember the Eclipse IDE and that whole integrated experience, I was blown away recently by a demo from GitHub. They have something called code spaces, which a long time ago, I was trying to build development environments that essentially if you were an engineer that joined a team recently, you could basically get an environment quickly start it with everything configured, source code checked out, environment properly set up. And that was a very hard problem. This was like before container days and so on and to see something like code spaces where you'd go to a repo or project, open it up, behind the scenes they have a container that is set up for the environment that you need to build and just have a VS code ID integrated experience, to me is completely magical. It hits like developer dopamine immediately for me, 'cause a lot of problems when you're going to work with a project attribute, that whole initial bootstrap of, "Oh you need to make sure you have this library, this install," it's so incredibly painful on top of just setting up your developer environment. So as we continue to move up the stack, I think you're going to see an incredible amount of improvements around the developer tooling and developer experience that people have powered by a lot of this cloud native technology behind the scenes that people may not know about. >> Yeah, 'cause I've been talking with the team over at Docker, the work they're doing with that desktop, enable the aim local environment, make sure it matches as closely as possible as your deployed environments that you might be targeting. These are some of the pains, that I see. It's hard for developers to get bootstrapped up, it might take him a day or two to actually just set up their local laptop and development environment, and particularly if they change teams. So that complexity really corralling that down and not necessarily being overly prescriptive as to what tool you use. So if you're visual code, great, it should feel integrated into that environment, use a different environment or if you feel more comfortable at the command line, you should be able to opt into that. That's some of the stuff I get excited to potentially see over 2020 as things progress up the stack, as you said. So, Michelle, just from an innovation train perspective, and we've covered a little bit, what's the best way for people to get started? I think Kelsey covered a little bit of that, being very pragmatic, but all this innovation is pretty intimidating, you can get mowed over by the train, so to speak. So what's your advice for how people get started, how they get involved, et cetera. >> Yeah, it really depends on what you're looking for and what you want to learn. So, if you're someone who's new to the space, honestly, check out the case studies on cncf.io, those are incredible. You might find environments that are similar to your organization's environments, and read about what worked for them, how they set things up, any hiccups they crossed. It'll give you a broad overview of the challenges that people are trying to solve with the technology in this space. And you can use that drill into the areas that you want to learn more about, just depending on where you're coming from. I find myself watching old KubeCon talks on the cloud native computing foundations YouTube channel, so they have like playlists for all of the conferences and the special interest groups in CNCF. And I really enjoy talking, I really enjoy watching excuse me, older talks, just because they explain why things were done, the way they were done, and that helps me build the tools I built. And if you're looking to get involved, if you're building projects or tools or specs and want to contribute, we have special interest groups in the CNCF. So you can find that in the CNCF Technical Oversight Committee, TOC GitHub repo. And so for that, if you want to get involved there, choose a vertical. Do you want to learn about observability? Do you want to drill into networking? Do you care about how to deliver your app? So we have a cig called app delivery, there's a cig for each major vertical, and you can go there to see what is happening on the edge. Really, these are conversations about, okay, what's working, what's not working and what are the next changes we want to see in the next months. So if you want that kind of granularity and discussion on what's happening like that, then definitely join those those meetings. Check out those meeting notes and recordings. >> Gotcha. So on Kelsey, as you look at 2020 and beyond, I know, you've been really involved in some of the earlier emerging tech spaces, what gets you excited when you look forward? What gets your own level of dopamine up versus the broader community? What do you see coming that we should start thinking about now? >> I don't think any of the raw technology pieces get me super excited anymore. Like, I've seen the circle of around three or four times, in five years, there's going to be a new thing, there might be a new foundation, there'll be a new set of conferences, and we'll all rally up and probably do this again. So what's interesting now is what people are actually using the technology for. Some people are launching new things that maybe weren't possible because infrastructure costs were too high. People able to jump into new business segments. You start to see these channels on YouTube where everyone can buy a mic and a B app and have their own podcasts and be broadcast to the globe, just for a few bucks, if not for free. Those revolutionary things are the big deal and they're hard to come by. So I think we've done a good job democratizing these ideas, distributed systems, one company got really good at packaging applications to share with each other, I think that's great, and never going to reset again. And now what's going to be interesting is, what will people build with this stuff? If we end up building the same things we were building before, and then we're talking about another digital transformation 10 years from now because it's going to be funny but Kubernetes will be the new legacy. It's going to be the things that, "Oh, man, I got stuck in this Kubernetes thing," and there'll be some governor on TV, looking for old school Kubernetes engineers to migrate them to some new thing, that's going to happen. You got to know that. So at some point merry go round will stop. And we're going to be focused on what you do with this. So the internet is there, most people have no idea of the complexities of underwater sea cables. It's beyond one or two people, or even one or two companies to comprehend. You're at the point now, where most people that jump on the internet are talking about what you do with the internet. You can have Netflix, you can do meetings like this one, it's about what you do with it. So that's going to be interesting. And we're just not there yet with tech, tech is so, infrastructure stuff. We're so in the weeds, that most people almost burn out what's just getting to the point where you can start to look at what you do with this stuff. So that's what I keep in my eye on, is when do we get to the point when people just ship things and build things? And I think the closest I've seen so far is in the mobile space. If you're iOS developer, Android developer, you use the SDK that they gave you, every year there's some new device that enables some new things speech to text, VR, AR and you import an STK, and it just worked. And you can put it in one place and 100 million people can download it at the same time with no DevOps team, that's amazing. When can we do that for server side applications? That's going to be something I'm going to find really innovative. >> Excellent. Yeah, I mean, I could definitely relate. I was Hortonworks in 2011, so, Hadoop, in many respects, was sort of the precursor to the Kubernetes area, in that it was, as I like to refer to, it was a bunch of animals in the zoo, wasn't just the yellow elephant. And when things mature beyond it's basically talking about what kind of analytics are driving, what type of machine learning algorithms and applications are they delivering? You know that's when things tip over into a real solution space. So I definitely see that. I think the other cool thing even just outside of the container and container space, is there's just such a wealth of data related services. And I think how those two worlds come together, you brought up the fact that, in many respects, server-less is great, it's stateless, but there's just a ton of stateful patterns out there that I think also need to be addressed as these richer applications to be from a data processing and actionable insights perspective. >> I also want to be clear on one thing. So some people confuse two things here, what Michelle said earlier about, for the first time, a whole group of people get to learn about distributed systems and things that were reserved to white papers, PhDs, CF site, this stuff is now super accessible. You go to the CNCF site, all the things that you read about or we used to read about, you can actually download, see how it's implemented and actually change how it work. That is something we should never say is a waste of time. Learning is always good because someone has to build these type of systems and whether they sell it under the guise of server-less or not, this will always be important. Now the other side of this is, that there are people who are not looking to learn that stuff, the majority of the world isn't looking. And in parallel, we should also make this accessible, which should enable people that don't need to learn all of that before they can be productive. So that's two sides of the argument that can be true at the same time, a lot of people get caught up. And everything should just be server-less and everyone learning about distributed systems, and contributing and collaborating is wasting time. We can't have a world where there's only one or two companies providing all infrastructure for everyone else, and then it's a black box. We don't need that. So we need to do both of these things in parallel so I just want to make sure I'm clear that it's not one of these or the other. >> Yeah, makes sense, makes sense. So we'll just hit the final topic. Chris, I think I'll ask you to help close this out. COVID-19 clearly has changed how people work and collaborate. I figured we'd end on how do you see, so DockerCon is going to virtual events, inherently the Open Source community is distributed and is used to not face to face collaboration. But there's a lot of value that comes together by assembling a tent where people can meet, what's the best way? How do you see things playing out? What's the best way for this to evolve in the face of the new normal? >> I think in the short term, you're definitely going to see a lot of virtual events cropping up all over the place. Different themes, verticals, I've already attended a handful of virtual events the last few weeks from Red Hat summit to Open Compute summit to Cloud Native summit, you'll see more and more of these. I think, in the long term, once the world either get past COVID or there's a vaccine or something, I think the innate nature for people to want to get together and meet face to face and deal with all the serendipitous activities you would see in a conference will come back, but I think virtual events will augment these things in the short term. One benefit we've seen, like you mentioned before, DockerCon, can have 50,000 people at it. I don't remember what the last physical DockerCon had but that's definitely an order of magnitude more. So being able to do these virtual events to augment potential of physical events in the future so you can build a more inclusive community so people who cannot travel to your event or weren't lucky enough to win a scholarship could still somehow interact during the course of event to me is awesome and I hope something that we take away when we start all doing these virtual events when we get back to physical events, we find a way to ensure that these things are inclusive for everyone and not just folks that can physically make it there. So those are my thoughts on on the topic. And I wish you the best of luck planning of DockerCon and so on. So I'm excited to see how it turns out. 50,000 is a lot of people and that just terrifies me from a cloud native coupon point of view, because we'll probably be somewhere. >> Yeah, get ready. Excellent, all right. So that is a wrap on the DockerCon 2020 Open Source Power Panel. I think we covered a ton of ground. I'd like to thank Chris, Kelsey and Michelle, for sharing their perspectives on this continuing wave of Docker and cloud native innovation. I'd like to thank the DockerCon attendees for tuning in. And I hope everybody enjoys the rest of the conference. (upbeat music)

[Music] from the cube studios in Palo Alto in Boston it's the cube covering the IBM think brought to you by IBM welcome back to the cubes coverage of IBM think 2020 the digital version of IBM think Bill Smith is here he's the general manager of IBM Global Financing bill thanks for coming on thank you very much for having me up I'm looking forward to it yeah me too so you know I remember the days of the the glory days of IBM you know leasing I used to run the leasing program for a couple of years at IDC and it was just it was an awesome time but things have changed a lot I mean iBM has really transformed its financing army what do we need to know about today's IBM Global Financing well some things are still saying but as you said a lot is different we constantly are celebrating our 40th anniversary this year a big part of our business is now software and services financing a lot of project man Singh we still do a lot of hardware business but it's a much much smaller portion of our thirty billion dollar asset base so it's a great business it was a great business back then when you were involved in it the very profitable and and interesting business today as it was then as I said big difference though a lot of software and services yeah well I've of course I would have mentioned that most if not all mainframes are still leased but now you've expanded it to many many more areas what can you tell us about you know some of the financial metrics you know what's the profile of the business look like yeah sure it's a it's a big business it looks a lot like a bank and we're around 30 billion in asset we do business and you know 40 plus countries around the world 26% return on equity most of the portfolio's very high percentage of that portfolio is investment rate so a couple other key metrics is we we actually issue our own debt we became an SCC registrant a couple years ago we have a you know many debt holders we only have one owner and one equity owner and that's IBM it's a very good business but 2% of IBM's revenue but about 10% of IBM's from yeah well so now this is an important aspect that I want to join to it when people you know look at the IBM balance sheet they'll you know go out or whatever Yahoo Finance and say oh my gosh look at all this debt must be you know I know of course the redhead acquisition is part of that but you're carrying a lot of the debt as part of the financing operation but people need to understand it's a very profitable and very high quality debt and if we could just address that one of the big benefits to becoming an SCC registrant is the amount of transparency that we were able to provide the investors so unlike other captive financing companies they just get rolled in to different units or parts of the books you know we actually report in the segment reporting every quarter we certify just like they you know public company would we're still a wholly owned subsidiary but the level of transparency is really great for the investors which is why you know debt holders were able to Willington by our paper it's still a very client based business we do very specialized structures we only do business and NIT as I told the board many times I'd be on board many times we don't do planes trains and automobiles we only do we only do I see and and really you know 99 percent of our businesses is IBM only so you talked about branching into software and services I'm interested in how the the client base has has transformed as a result of that sure you know there's a lot of digital transformations going on there's still a lot of ERP implementations around the world very large project so we we described it as project financing so if client will come to us and say bill we'd like to match the benefit of this very large GBS or services engagement that the IBM team is leading we like to match the benefit when we have the cash outlay so we'll put a structure together that will delay the payment for when those benefits begin to come online for the enterprise and then match payment with when benefits are actually received it's proven to be a very very effective financing instrument for us but highly effective economic instruments for the clients also gives if I'm you know contracting with IBM services you've got a major incentive for the services organization to deliver value as soon as possible and that aligns everybody doesn't it it absolutely does you know we have a lot of business partners where they'll do similar structures as well so other integrators you know if the redhead acquisition and and clients moving to a hybrid cloud model sometimes there's a migration that will take place between the traditional legacy systems and when they move that cloud well that bubble of been we take Dera so will will finance that migration effort for the client and again to match their cash outlays with when they receive the benefit that I've left from that cloud migration in the day there were tons of leasing companies who would take the risk and predict the residual values and then they'd take the paper and and and then it was just an awesome business and of course the government provided some incentives to do that with the investment tax credit what about things like refurbished equipment is that's still something that you do today or is that a thing of the mainframe pass that's great yeah that's a great question you know it's a it's still a really important and a sustainable business for us we we take equipment back that comes off of a lease or sometimes alone but typically a lease and we will refurbish that or reman factor that equipment and then put it back into market oftentimes it goes into our services organization for them to use with their clients the global technology services typically you know we will we will matram a fact or a remarket about 29,000 IT devices a week 16,000 tons of idea quipment around the in a year around the world so these remanufacturing refurbishing centers so it's a even though the hardware business has come down in its percentage of IBM's business compared to software and services it's still a very very big business as you can see by the the size of the number of equipment and the tonnage what about some of the initiatives that are so you mentioned you know the digital transformation a lot going on with cloud machine intelligence I mean those big projects you know some of them are still multi-year you know seven weeks people say oh there's no more multi-year projects but digital transformations are multi-year projects even though you might take them in chunks but I'm going to capitalize those can I finance them as well what role does does IBM finance play in that you absolutely can and and that is a big big part of our business today though the the client will they look I've got a very large digital transformation project going to take place in four countries we are looking for an opportunity to match those cash outlays with when those countries come online or when we begin to receive the benefits we also want you've been and some of the software that goes with this digital transformation and we also want to spin and the IT infrastructure that's required so we may put those services software and hardware on a different financial instruments but it looks like you know one total bill for the client and it and its global it's a global footprint so we're able to handle the different currencies around the world and and again most importantly match those cash outlays with when the benefits are received so bill you know as long as I've been in this business the IT investments from a CFOs perspective have always been viewed as a higher risk granted higher reward but but you know the the CFOs would say okay you're gonna have to have a little higher IRR for this one because you know the business moves so fast technology changes so quickly how are you seeing the CIO - CFO conversation evolve what's your advice to see iPods in terms of how they talk to two CFO's that's another really good question so I was just on with actually new client this morning one was the F of the other one was a treasurer and they were asking my opinion about this financial instrument and and and getting some advice actually the conversation went look it's not really cost the debt issue the cost of money is always part of the economic decision but oftentimes those clients use financing instrument as a way to manage the asset manage the asset throughout the life the project they also want to focus on the delivery the quality of the delivery I think that takes place during these very very large project financing engagements so the CFO specifically said look I really like business case it's quite clear when we're gonna receive these benefit what I'd like to know Bill is how do you view the risk of the implementation and you know we were able to share with them the risk work that we do with with GBS team our level of confidence that it will be done on time and on budget and the skill level of the of the partner team that's been assigned so it actually has allowed us to have a different conversation with different group or senior level at the account CFO Treasury sometimes the controller you play an important role in de-risking the the business case and as well I mean I would imagine right now in there you know these on certain times that you know IBM Global Financing can provide liquidity to businesses who need it that you you know are confident you know are stable business but might need some help you know getting through this pandemic we can and as you said the what makes us a little different is you know we make credit decisions on what we call arm's length credit visions you know for a standalone albeit at the financing company so we're very very focused on maintaining the right investment grade of the portfolio we're going to make really really good prudent risk decisions you know that being said we have some fabulous IBM clients that have been clients for a long time we work very closely with them understanding their financial structures what's what's important to them and they're very transparent with us about you know with financial challenges they have so we'll continue to provide that liquidity we are going to be very prudent but we'll certainly help those really good clients well last question it's kind of where do you see this going what's your kind of vision for IBM global global finance and give us a little glimpse of the future sure you know I think you'll see us continue to migrate in the direction of the IBM company moves the IBM company is aggressively moving towards a hybrid cloud model we'll continue to provide those migration services will continue to do you know some short-term financing a part of the business we didn't talk about was the commercial financing we provide short-term working capital through IBM 6000 isness partners so to help them with their free cash flow running their businesses you know that's a pretty big business for us we'll do about you know 14 billion or so in financing to that commercial financing business so I'll see that continue as well and then finally I'm sure you'll see us continue to grow the software and services financing as well and we'll stay with the very very high anything rate for whatever is left of IBM's Hardware portfolio point you made about the partner financing is huge like you said it helps them bridge their free cash flow it makes IBM a more attractive partner for through those resellers and partners it does and we've been in that business for a very very long time oftentimes we are one of the you know largest predators for those partners so the liquidity that we provide Danville allow them to run their businesses day to day with that short term working capital is something that we're very committed to you over the long term for IBM product and services so IBM Global Financing a very important and strategic part of IBM's business a differentiator a very few companies actually can provide that type of service to their clients and so bill really appreciate you coming to the Kuban and sharing that with with our audience great to have you back yeah very much Brad you've been a real pleasure - our pleasure as well thank you for watching everybody this is Dave Volante for the cube our continuous coverage of IBM think 2020 we'll be right back right after this short break you're watching the cube [Music] you

(vibrant music) >> Everyone, welcome to our Palo Alto studio. I'm John Furrier host of theCUBE. We're here for a digital conversation. Part of our new digital events, part of our new structure of bringing people into the studio and also doing remotes. We'd love to do that in the era of the travel bans, but it's always great to have local Silicon Valley executives and startups here. Milin Desai, CEO of Sentry IO is here with me. Former VM-ware industry executive, CEO of Sentry IO hot startup. Thanks for coming in. >> Thank you for having me. >> So you can drive in. You don't have to fly anywhere. It's all good. No wearing masks. The coronavirus is crazy. I'm so glad we have you at this studio and get this content acquisition. Thanks for coming in. I want to get your take on your company before we get into the industry thing. I think you look at some of the most successful categories that just came out of nowhere. You know, you look at AIOps for instance in driving, you know, observability. But what is observability? That beginning, that comes with public page or do the list just goes on and on. The cloud has created this agile market where real time and then a lot of automation is going on so whether it's error logs like a Splunk does and that's scaled up. You get to doing something variation with software code that's not just something breaks, a phone rings. There's a lot a going on. You're this really kind of the tailwind here for you with cloud scale. What does Sentry doing? What's their secret sauce? >> So, the simplest way I would put it is we help you measure and monitor your code in production in close to real time. So what does that mean? You look at all, all of the companies that we talk about, whether it's a John Deere on one end or a Spotify on the other. They're all getting more digital in nature, which means they all trying to interact with their customers more often, building apps with an interface with an API. And as we all know, through our own personal experiences, if you don't get a great experience, you simply move on. So, you pull up your app, you pull up Uber, it's not working, let me look at Lyft. Right? That's the kind of consumer behavior that's starting to take in. >> So-- >> Meaning you don't really know as the owner of the app if they're abandoning or not, it's just down sales or? >> Correct. And so, what we do is we help developers monitor how the usages of their code in production. So, as users hit editors, a checkout button is not working or a user is having a bad experience on a mobile phone, whereas the same application on a browser looks fine. We in real time giving notification saying X number of users on this type of device, on this type of interface are having issues. And not just that, it's an alert, it's an alert that says this is the issue, this is the line of code where the issue's taking place, this is the potential commit that you did in your getRepository, which is causing it. So, it's the full kind of metadata around the issue. Which typically would be, what, two days? I take it as filed. Support me, look at it. Hey, customer has an issue, let's reproduce it. Well the customer is gone. So this is all done in real-- >> Or it could be a complete blindspot too. You don't know, right? This is the thing. This is why I love this whole digital transformation role where instrumentation is re-imagining how everything's being done. So for instance, you could see a code push and you go, okay, it's in production. And then why are sales down? Why is usage down? And then you've got to do a postmortem. >> Correct. >> No one called, just going what the hell happened? Fingers are blaming. He did it! Here you're trying to get to the point where you can see that error earlier or before or after, during as it work. >> It's almost in real time. Close to real time. As the user has the error immediately through either PagerDuty, Slack, email, whichever your communication medium is. You get to know a user or a set of users are having an issue. You click it, you go to this portal. All the metadata is right there. So, it's in real time. And so to exactly your point, it's not after the fact. >> Yeah. >> Right, it's happening. And so, the CTO of tackled.io, said it best, it's a startup that helps companies get on to marketplaces. He said, "Hey, we found issues before our customers even filed a issue against us." So, you know, this helps us deliver true customer experience, as a development team. >> So, on the developers that target profile get that and they're coding away. They don't have time to do research. They'll be like, "Oh, I better bolt on some instrumentation here." That's been the successful move. Look at like what Datadog has done in DevOps. Just the easy onboarding, free use it. Is that the same model you guys are taking this free land, adopt then expand. So, is it a freemium, could you explain the business model? >> Yeah, so, a Sentry is a open source. And so customers can take the piece of software that we have as is, fully functional and run it themselves on their data center on their cloud, or they can choose a SaaS version from us and we offer kind of like a free version and then you pay for the plan. So, what we typically see is customers turn it on, developers turn it on and they like it. And then, the best score I got recently was, one CEO who said, "Hey, you know, I don't send you that many events, but I see the value of what you do, so I decided to pay you." Right, so, they went from free to paid. And that's kind of typical pattern that we see. And the best thing about this is, it takes you approximately four lines of code to get started. Four lines of code in your code and you get started getting the benefits of Sentry. >> What's good sign for monetization when you got the paying it forward literally with cash. I want to ask you the difference between the open source version because I saw in the origination story it's really interesting. They were at jobs and they saw this side project grow into a real opportunity. And it's always good to see the open source not die, right. So, this been maintain the project. When would someone use the open sources? Is that the hardcore folks or, so SaaS, obviously makes sense. It's easier if you're doing a lot of the extra support and whatnot on top of it. But what's the use case for the folks who are going to bring it in house loaded on their cloud? >> I think we'll leave it to our customers to decide that. And we've seen, folks who say, "Hey, you know, we have, we're going to try it out, it's a small, we have got a good DevOps practice. We're going to get it up and running." Here's what happened with one of my teams at VMware. The engineer in charge looked at it and said, "It's not worth my time given what the price on SaaS is." Right, so, like our smallest plan is $29, which satisfies most startups or small software projects. And his point was like, "Hey, you know, it's almost better for me to start and using that versus--" >> Well they weren't using NSX. I'm sure Pat Gels would be like, "Get shipped the next product." Well this is the trade off, right? I mean, so that's what's beautiful of open source. You want to bring it in and make it work for yourself. That trade off has to be economically there. >> Correct. >> So you have a nice balance of if you're hardcore, no problem. >> Please use-- >> Use it, contribute, be part of the team. But if you want ease of use and all the bells and whistles and the speed. >> I think it comes down to what we are starting to see, which is, how much do you care about getting to value faster and where is your value? Is it in kind of running and operating all these pieces of software or is it in, you know, getting value to your end customer? So, if you are focused on building your business, we are this value add that kind of gets you there faster. So, stop focusing on kind of building the infrastructure. Start delivering kind of the value to the business. >> So I'm going to ask you, so, are you the CEO? So the founders who I've not met. I look forward to interviewing them. They seem pretty cool. I'm sure they probably say, "Oh this guy from VMware, he's probably the big company guy." 'Cause they were like, we're going to Dropbox now. Engineers, I could almost imagine their, what they're like. Probably skeptical, this is VMware guy. How did you get through the interview process? Obviously, you're the CEO, you made it. Were they skeptical ? What worked? Why you, why'd you go there? >> You know, the best thing about this transition is Chris and David. So, David was the CEO. He is now the CTO. He's the founder creator along with Chris. And it was his decision, to bring someone into the company, given that we are seeing this, you know, we are now at 20000 plus customers and he felt like he wanted to kind of go back to building and creating and bring a partner in crime. So, that was the good part. I would say like, we started talking and we are at the same energy level, you know? So, I think it just worked out in the way we communicated. And you've known me for a bit. I'm kind of hands on. I like, you know, to kind of get into things and build businesses. So, I think the profile matched out and both of us took our time. So it was, a long dating process, where we got to know each other. Not just as, you know, what we do for work. But, you know, how we operate and had coffee and lunch and dinner and--- >> Well, it is a dating, dating and marriage is always thinking, but the founders are, it's a tough move to make. I mean, for founders to be self-aware, to bring in someone else. But also the fit has to be there. And a lot of entrepreneurs just check the box and try to hire someone too fast that could fail or gets jammed down by the VCs, you know. So, the founders are pretty kind of reluctant. So, that's interesting that you did that. >> Yeah, he's been thinking. You know, the thing about David is he's super thoughtful and hopefully you'll get to see him soon. He's been thinking about this for a bit. And he took his time. And he worked through the process and that's why I said it felt like we were not just talking about, me joining as a CEO, as much as us getting to know each other and building this for the long run. And so we really took our time on both ends--- >> And he want to to get back on the engine of the business? He's a developer, right? He's like the code. >> Just don't want to, >> It was-- >> 20000 customers, you going to get hiring people. It's HR issues. This probably, I don't want to do that. >> That and you know it was kind of the personality thing, right? Grit and grind, you know. We kind of, can somebody come in and have the passion, the same that he believes in what we do. And he saw that and I saw that in him and I'm like, this is a great opportunity that I cannot forego. >> So talk about the, I say love modern, the modern startups because, you know, you're on the right side of history when you got cloud at your tailwind and kind of DevOps, like vibe you get going on with, I know it's not DevOps, but it's common like cloud scale and the agility. How are you guys organized? You guys have virtual teams. You have a central office. Is there a physical place? Do people come in? What's the, how is the company's philosophy on work environment? >> So, we actually have three locations. One in San Francisco, which is the headquarters, where we are located. And then in Vienna, Austria, where one of the early engineers and pioneers live. And so we built around that person and that location. >> No one's complaining about that. >> No. >> Vienna's not a bad place there-- >> Not a bad place. I haven't visited yet. (laughs) I am looking forward to it. I was supposed to be there in April, but, given the circumstances, I'm postponing it. And we recently started this past year in Toronto. And so, we are--- >> So three strong areas for tech talent for sure. >> And then we do have some employees working from home. So, we try and hire the best, and then we accommodate. But we do try to kind of cluster around these three locations. >> So, I got to get your take as the CEO, obviously we're all grappling with this, work at home, Covid 19, the coronavirus, is impacting. Everything's being canceled here in Silicon Valley. I would say Seattle has more of a hotspot than our area. Mostly China as China. What's the view that you guys are taking right now? You're telling people who work at home. Obviously, events are being canceled. Places where people doing Biz Dev, KubeCon was canceled, Dell Technology World is can-- I mean everything's being canceled. How's that affecting your business and what's your philosophy? How are you guys are executing through this tough time? >> I think as a company we've kind of taken the step for having people work from home and we did it on a location by location basis. So, for folks in San Francisco, especially because folks who are commuting on public transportation and other things. We wanted to make our team feel comfortable. And so we've instituted a work from home policy, for, I think we said two weeks, but I think it's going to keep going until we get a clear signal from the government, both locally and at the federal level. So that's kind of where we are as a team. And then what we noticed was the Austrian government kind of had similar regulations of everyone's working from home. Slack, you know, Google Hangouts. We spending a lot of time on video, making sure we are connected as a team. And you know, just that spirit of how we operate and talk to each other continues. As a business, we are a bottoms up business. So, what I mean by that is folks sign up, they use the product. And developers are right now globally still fully functional. The only difference being they're now working from home. So we feel like as a business, we'll be fine. And we are ensuring that our customers through this transition and through this period of kind of unknowns are able to continue to be successful for their customers. >> It's funny, I was talking with someone, it's like there's going to be some, obviously, sectors, like events are going to take a big hit. South by got canceled, Coachella's being canceled. All the tech events are being canceled. That's why we're going to be doing our stuff at the studio with virtual events, for theCUBE. But certain things are going to be different. You going to see pregnancy, boom. You know, nine months later, people are going to be having kids cause they're home alone or divorces depending on how you look at it. But productivity, developer wise has been talked about as actually developers want to just crank out some code. They don't have to come into the office. You can be more, I mean you can still be productive. Developers have been doing this for decades. >> I think-- >> At least if they are more. >> You know, I think you, you know, I think there might be a scenarios of adjustment, a period of adjustment. And then folks will get comfortable. So, it's super important to create that engagement model. Whether, do you have the tooling to keep the team engaged. And there companies that are completely remote. And so we're making sure we learn from their best practices around that. But I do believe that, for tech companies or even for manufacturing companies focused on building software, developers are going to be productive. >> Okay, so a baby boom's coming, divorce rate's going to go up and productivity is skyrocketing. (both laugh) >> For developers. >> For developers. Well, I mean it's a good time. Okay, can I get your take on the industry now. Honestly, putting all the coronavirus aside, we saw a surge in public cloud check. Done. And ask you when your VMware with NSX coming in and becoming the engine with software defined networking as part of the Series piece. You're starting to see hybrid clear as day. It's going to happen. Multi clouds on the horizon. So, you now have a three wave cloud game going on. Wave one, done. Wave two is hybrid. Wave three maybe bigger than them all with multicloud. Do you agree with that trend analysis and what's your take on that? >> So, this is where I'll probably kind of look back at my time at VMware. I think, you know, definitely see the multicloud wave catching on. But I would use the word multicloud as in, not a app spread across three clouds as much as, you know, a company choosing to have a certain assets in AWS, certain assets in Azure, certain in Google. So, I don't see yet this idea of an app being stretched across the three clouds but definitely, while I was-- >> VMware tried that. (both laugh) >> While I was at VMware and in talking to customers, we definitely saw adoption of multiple clouds. And that's where when I was working with the cloud health team, this idea of managing cost and security across three clouds became very common as a pattern that came up. You definitely see that as a kind of directional thing that a lot of organizations are doing. >> Yeah, the idea of just rapidly shifting up workloads based on pricing, all that stuff. I think it's aspirational at best because development teams are now just getting their groove on with hybrid and operation, cloud operations. So, I can see a day where if you can manage the latency network issues, maybe some day, but I mean, come on, really? I think about how hard that is, just latency alone. >> And the issue is like, architecturally you have to make really good choices to get there. So, I think you might see that in like kind of tech software firms. We're thinking about, how do I stay cloud neutral? But for the most part, if you want to take the full value of AWS or full value of GCP, you want to go deeper in there. And use all their services. >> Yeah, I think that's great insight. Let's riff on that a little bit because one of the things I was talking to Dave Alante and Stu Miniman about was, if you look at the multicloud, I don't think it's going to come from a vendor. I think if you look at the success of the Facebooks of the world, even Dropbox where your founders came from, early on, they had to just basically build it from cloud native, from ground up. And all the hyper scalers use open source. They built all their stuff. No one was selling them anything. They just did it. So, I think you'll see smart architectural moves, but that'll be the unicorn. That'll not be the standard. That'll be the exception, not the rule. I don't think you can sell multicloud, in my opinion, yet, or I don't think that'll even be possible. But I think someone will come out and say, make those architectural decisions saying, "I have an architecture that works multicloud because we architect it that way." >> Yup, yup. And I think that's kind of the more, kind of from an engineering standpoint, I think you'll see more of that. I think from a, you know, from a kind of solution standpoint, you will see folks saying, "I will help you manage or secure or build into each of the clouds and give you kind of common pattern versus the latter of it." And engineering team says, "Here's a way to architect for multicloud." >> You know, we pay a lot of attention to the next gen kind of psychologies. Obviously, we do a lot of coding on with our cube cloud that's coming out now. But, how do you see the founders you're working with and that in this new peer group that's developing. I call it, the next gen entrepreneur, technical entrepreneur. As they look at the vast resources of cloud and all of the data opportunities there and mobility, internet things and all this stuff going on. What is the general mindset right now of these kinds of entrepreneurs from a technology perspective? How are they looking at the problem space? What's your take on this new landscape as an entrepreneur? >> Yeah, I'll give you kind of what got me super excited about Sentry. Like how, why did I think about that? Which is if you look at 2000 to 2010, we did software defined infrastructure. Things started moving into software. 2010 to 2020 was, as you correctly wanted a cloud, hybrid, everything became kind of as a service. I think this next decade will be about data. So, companies using the data to get a competitive advantage or figuring out, you know, how to stay ahead, whether it's competitively or even to win a market. And the other aspect of this is because everything is so, as a service, API centric, I think it's going to explode how we develop things. And I think this is going to be truly now the decade for the developer, who's going to make deeper choices, greater choices, buying decisions. And so, with data kind of exploding, and the management of it and getting insights out of it is one aspect of it. And, you know, as somebody who's looking at Sentry, we do a lot of that, right? Which is how are customers using it? What are they using? What languages? And everything else that goes with that. But on the other end, developers are going to start kind of using things and create a whole new set of use cases that's going to change the way we think about it. So I think there's a whole set of elements around how to use this infrastructure to build new applications, creative products, that is going to be a massive boom. >> I think that's a great point. I think that's great insight. Because you think about observability, which I was just joking earlier on about, but I think the relevance observability is network management applied to value real time, right? Because if you can instrument everything, the smart people are going to saying, "Hey, I can just instrument this and get the data I need rather than dealing with this hassle process we had before." So, it brings up that kind of philosophy of kill the old to bring in the new or something new that kills the old. So, it's an interesting phenomenon. I think it's very relevant. But I want to get your, question as a CEO now, you've got, you're at the helm, helm of a company is technical. And talking about architecture, what's your architecture for the venture? What's your plans? How do you see the, you said you're going to come and build this next level growth. What's your architecture look like? Are you going to, do more of the same? Any new things that we see? What are you going to... What's your plan? >> Fundamentally, you know, we as a kind of set of users in the world today, have spent a lot of time monitoring, as I told you earlier, machines, systems and applications, right? And so there's a lot of successful companies doing that. But if you fundamentally believe that this is the decade where you're going to write more code than we've ever before or refresh more applications than we've ever before. Our focus is code and how it does whether it's in a staging environment, in a canary deployment, or in production. How do we measure code and monitor code in production. And the impact of that code to the end users. So it could be errors and now increasingly code performance. So you will see us kind of venture into this idea of helping developers. Not only find issues that they run into production like we talked about before, but also be able to say, looks like over the past three releases, our logins per second have gone down progressively by 10%. Why is that happening? Where is that happening? Which team made that change? So, you will see us kind of really double down on this idea of measuring and monitoring code going forward, complimenting how we measure monitor systems, machines and applications today. >> Yeah, I mean, code has got to be managed, as people more, people contribute. It's like a compiler for the compiler. (laughs) >> It's like if code fails, your business-- >> Code for the code. >> Yeah. >> Meta three meta meta as they say, but code for the code. But that's, it's basically code management in a way, right? It's the code data. You're leveraging that code relationship to the application. >> And so we talk about applications a lot. And so we write code, we store code, you know, in a getRepository. Now there's a whole set of elements around securing it. We deploy it. What about measuring and monitoring it? That is the element where we focus and kind of bring that whole cycle together. Helping that application developer be successful. >> What's it like for you going from VMware to the startup? What's the biggest, coolest thing that's happened? >> It's been a great transition. You know, and I always say this to folks who ask me for career advice. They say, always choose the people you work with and the people you work for. And I've been fortunate enough to do that and I think this transition has been great for that reason alone. Which is I've had the time to get to know the team at Sentry. They got to know me and it's just been, it's been fantastic. I think the velocity of and the pace at which I can make changes, has been the most fun part of it. >> And you've got like 25, 20000 paying customers 50000 total customers roughly in that range. Pretty sizeable. Employee count, how many employees do you have? >> 100 plus employees and-- >> Still small, still small. >> Yeah, still small. And we're going to probably double this year, give or take. And you know, it's 20000 customers from every startup. I've spoken to a startups, over 100 startups in two months. And it's amazing to see their reaction and their love for Sentry. >> And funding, how many rounds of funding have you guys done? >> We just finished Series C, in September of last year. 40 million, any Accel growth. So, we feel really good about where we are. With the revenue ramp that we've seen, we're in great shape. >> And pretty good numbers in terms of a head count too, very leveraged SaaS model. Get the developers. >> Yes. >> Great. Well, we're going to be entertaining a lot of developers at DockerCon this year. DockerCon used to be an event for Docker. Now they sold half the business to Mirantis. They're focusing on Docker developers. We have an event here. We're doing a virtual event. So, a lot more developer action coming. We'll talk more about that. Love to meet your founders, have them come in too. We want to thank you for coming on. >> Thank you. >> Milin Desai, CEO of sentry.io, former VMware executive with a great hot startup, Series C funded, growing here in Silicon Valley, San Francisco and in Austria. I'm John Furrier with theCUBE. Thanks for watching. (vibrant music)

>> from Cambridge, Massachusetts. It's the Cube covering M I T. Chief data officer and information quality Symposium 2019. Brought to you by Silicon Angle Media. >> Welcome back to Cambridge, Massachusetts. Everybody, You're watching the Cube, the leader in live tech coverage, and we're covering the M I t CDO conference M I t. CDO. My name is David Monty in here with my co host, Paul Galen. Mike Stone breakers here. The legend is founder CTO of Of Tamer, as well as many other companies. Inventor Michael. Thanks for coming back in the Cube. Good to see again. Nice to be here. So this is kind of ah, repeat pattern for all of us. We kind of gather here in August that the CDO conference You're always the highlight of the show. You gave a talk this week on the top 10. Big data mistakes. You and I are one of the few. You were the few people who still use the term big data. I happen to like it. Sad that it's out of vogue already, but people associated with the doo doop it's kind of waning, but regardless, so welcome. How'd the talk go? What were you talking about. >> So I talked to a lot of people who were doing analytics. We're doing operation Offer operational day of data at scale, and they always make most of them make a collection of bad mistakes. And so the talk waas a litany of the blunders that I've seen people make, and so the audience could relate to the blunders about most. Most of the enterprise is represented. Make a bunch of the blunders. So I think no. One blunder is not planning on moving most everything to the cloud. >> So that's interesting, because a lot of people would would would love to debate that, but and I would imagine you probably could have done this 10 years ago in a lot of the blunders would be the same, but that's one that wouldn't have been there. But so I tend to agree. I was one of the two hands that went up this morning, and vocalist talk when he asked, Is the cloud cheaper for us? It is anyway. But so what? Why should everybody move everything? The cloud aren't there laws of physics, laws of economics, laws of the land that suggest maybe you >> shouldn't? Well, I guess 22 things and then a comment. First thing is James Hamilton, who's no techies. Techie works for Amazon. We know James. So he claims that he could stand up a server for 25% of your cost. I have no reason to disbelieve him. That number has been pretty constant for a few years, so his cost is 1/4 of your cost. Sooner or later, prices are gonna reflect costs as there's a race to the bottom of cloud servers. So >> So can I just stop you there for a second? Because you're some other date on that. All you have to do is look at a W S is operating margin and you'll see how profitable they are. They have software like economics. Now we're deploying servers. So sorry to interrupt, but so carry. So >> anyway, sooner or later, they're gonna have their gonna be wildly cheaper than you are. The second, then yet is from Dave DeWitt, whose database wizard. And here's the current technology that that Microsoft Azure is using. As of 18 months ago, it's shipping containers and parking lots, chilled water in power in Internet, Ian otherwise sealed roof and walls optional. So if you're doing raised flooring in Cambridge versus I'm doing shipping containers in the Columbia River Valley, who's gonna be a lot cheaper? And so you know the economies of scale? I mean, that, uh, big, big cloud guys are building data centers as fast as they can, using the cheapest technology around. You put up the data center every 10 years on dhe. You do it on raised flooring in Cambridge. So sooner or later, the cloud guys are gonna be a lot cheaper. And the only thing that isn't gonna the only thing that will change that equation is For example, my lab is up the street with Frank Gehry building, and we have we have an I t i t department who runs servers in Cambridge. Uh, and they claim they're cheaper than the cloud. And they don't pay rent for square footage and they don't pay for electricity. So yeah, if if think externalities, If there are no externalities, the cloud is assuredly going to be cheaper. And then the other thing is that most everybody tonight that I talk thio including me, has very skewed resource demands. So in the cloud finding three servers, except for the last day of the month on the last day of the month. I need 20 servers. I just do it. If I'm doing on Prem, I've got a provision for peak load. And so again, I'm just way more expensive. So I think sooner or later these combinations of effects was going to send everybody to the cloud for most everything, >> and my point about the operating margins is difference in price and cost. I think James Hamilton's right on it. If he If you look at the actual cost of deploying, it's even lower than the price with the market allows them to their growing at 40 plus percent a year and a 35 $40,000,000,000 run rate company sooner, Sooner or >> later, it's gonna be a race to the lot of you >> and the only guys are gonna win. You have guys have the best cost structure. A >> couple other highlights from your talk. >> Sure, I think 2nd 2nd thing like Thio Thio, no stress is that machine learning is going to be a game is going to be a game changer for essentially everybody. And not only is it going to be autonomous vehicles. It's gonna be automatic. Check out. It's going to be drone delivery of most everything. Uh, and so you can, either. And it's gonna affect essentially everybody gonna concert of, say, categorically. Any job that is easy to understand is going to get automated. And I think that's it's gonna be majorly impactful to most everybody. So if you're in Enterprise, you have two choices. You can be a disrupt or or you could be a disruptive. And so you can either be a taxi company or you can be you over, and it's gonna be a I machine learning that's going going to be determined which side of that equation you're on. So I was a big blunder that I see people not taking ml incredibly seriously. >> Do you see that? In fact, everyone I talked who seems to be bought in that this is we've got to get on the bandwagon. Yeah, >> I'm just pointing out the obvious. Yeah, yeah, I think, But one that's not quite so obvious you're is a lot of a lot of people I talked to say, uh, I'm on top of data science. I've hired a group of of 10 data scientists, and they're doing great. And when I talked, one vignette that's kind of fun is I talked to a data scientist from iRobot, which is the guys that have the vacuum cleaner that runs around your living room. So, uh, she said, I spend 90% of my time locating the data. I want to analyze getting my hands on it and cleaning it, leaving the 10% to do data science job for which I was hired. Of the 10% I spend 90% fixing the data cleaning errors in my data so that my models work. So she spends 99% of her time on what you call data preparation 1% of her time doing the job for which he was hired. So data science is not about data science. It's about data integration, data cleaning, data, discovery. >> But your new latest venture, >> so tamer does that sort of stuff. And so that's But that's the rial data science problem. And a lot of people don't realize that yet, And, uh, you know they will. I >> want to ask you because you've been involved in this by my count and starting up at least a dozen companies. Um, 99 Okay, It's a lot. >> It's not overstated. You estimated high fall. How do you How >> do you >> decide what challenge to move on? Because they're really not. You're not solving the same problems. You're You're moving on to new problems. How do you decide? What's the next thing that interests you? Enough to actually start a company. Okay, >> that's really easy. You know, I'm on the faculty of M i t. My job is to think of news new ship and investigate it, and I come up. No, I'm paid to come up with new ideas, some of which have commercial value, some of which don't and the ones that have commercial value, like, commercialized on. So it's whatever I'm doing at the time on. And that's why all the things I've commercialized, you're different >> s so going back to tamer data integration platform is a lot of companies out there claim to do it day to get integration right now. What did you see? What? That was the deficit in the market that you could address. >> Okay, great question. So there's the traditional data. Integration is extract transforming load systems and so called Master Data management systems brought to you by IBM in from Attica. Talent that class of folks. So a dirty little secret is that that technology does not scale Okay, in the following sense that it's all well, e t l doesn't scale for a different reason with an m d l e t l doesn't scale because e t. L is based on the premise that somebody really smart comes up with a global data model For all the data sources you want put together. You then send a human out to interview each business unit to figure out exactly what data they've got and then how to transform it into the global data model. How to load it into your data warehouse. That's very human intensive. And it doesn't scale because it's so human intensive. So I've never talked to a data warehouse operator who who says I integrate the average I talk to says they they integrate less than 10 data sources. Some people 20. If you twist my arm hard, I'll give you 50. So a Here. Here's a real world problem, which is Toyota Motor Europe. I want you right now. They have a distributor in Spain, another distributor in France. They have a country by country distributor, sometimes canton by Canton. Distribute distribution. So if you buy a Toyota and Spain and move to France, Toyota develops amnesia. The French French guys know nothing about you. So they've got 250 separate customer databases with 40,000,000 total records in 50 languages. And they're in the process of integrating that. It was single customer database so that they can Duke custom. They could do the customer service we expect when you cross cross and you boundary. I've never seen an e t l system capable of dealing with that kind of scale. E t l dozen scale to this level of problem. >> So how do you solve that problem? >> I'll tell you that they're a tamer customer. I'll tell you all about it. Let me first tell you why MGM doesn't scare. >> Okay. Great. >> So e t l says I now have all your data in one place in the same format, but now you've got following problems. You've got a d duplicated because if if I if I bought it, I bought a Toyota in Spain, I bought another Toyota in France. I'm both databases. So if you want to avoid double counting customers, you got a dupe. Uh, you know, got Duke 30,000,000 records. And so MGM says Okay, you write some rules. It's a rule based technology. So you write a rule. That's so, for example, my favorite example of a rule. I don't know if you guys like to downhill downhill skiing, All right? I love downhill skiing. So ski areas, Aaron, all kinds of public databases assemble those all together. Now you gotta figure out which ones are the same the same ski area, and they're called different names in different addresses and so forth. However, a vertical drop from bottom to the top is the same. Chances are they're the same ski area. So that's a rule that says how to how to put how to put data together in clusters. And so I now have a cluster for mount sanity, and I have a problem which is, uh, one address says something rather another address as something else. Which one is right or both? Right, so now you want. Now you have a gold. Let's call the golden Record problem to basically decide which, which, which data elements among a variety that maybe all associated with the same entity are in fact correct. So again, MDM, that's a rule's a rule based system. So it's a rule based technology and rule systems don't scale the best example I can give you for why Rules systems don't scale. His tamer has another customer. General Electric probably heard of them, and G wanted to do spend analytics, and so they had 20,000,000 spend transactions. Frank the year before last and spend transaction is I paid $12 to take a cab from here here to the airport, and I charged it to cost center X Y Z 20,000,000 of those so G has a pre built classification system for spend, so they have parts and underneath parts or computers underneath computers and memory and so forth. So pre existing preexisting class classifications for spend they want to simply classified 20,000,000 spent transactions into this pre existing hierarchy. So the traditional technology is, well, let's write some rules. So G wrote 500 rules, which is about the most any single human I can get there, their arms around so that classified 2,000,000 of the 20,000,000 transactions. You've now got 18 to go and another 500 rules is not going to give you 2,000,000 more. It's gonna give you love diminishing returns, right? So you have to write a huge number of rules and no one can possibly understand. So the technology simply doesn't scale, right? So in the case of G, uh, they had tamer health. Um, solve this. Solved this classification problem. Tamer used their 2,000,000 rule based, uh, tag records as training data. They used an ML model, then work off the training data classifies remaining 18,000,000. So the answer is machine learning. If you don't use machine learning, you're absolutely toast. So the answer to MDM the answer to MGM doesn't scale. You've got to use them. L The answer to each yell doesn't scale. You gotta You're putting together disparate records can. The answer is ml So you've got to replace humans by machine learning. And so that's that seems, at least in this conference, that seems to be resonating, which is people are understanding that at scale tradition, traditional data integration, technology's just don't work >> well and you got you got a great shot out on yesterday from the former G S K Mark Grams, a leader Mark Ramsay. Exactly. Guys. And how they solve their problem. He basically laid it out. BTW didn't work and GM didn't work, All right. I mean, kick it, kick the can top down data modelling, didn't work, kicked the candid governance That's not going to solve the problem. And But Tamer did, along with some other tooling. Obviously, of course, >> the Well, the other thing is No. One technology. There's no silver bullet here. It's going to be a bunch of technologies working together, right? Mark Ramsay is a great example. He used his stream sets and a bunch of other a bunch of other startup technology operating together and that traditional guys >> Okay, we're good >> question. I want to show we have time. >> So with traditional vendors by and large or 10 years behind the times, And if you want cutting edge stuff, you've got to go to start ups. >> I want to jump. It's a different topic, but I know that you in the past were critic of know of the no sequel movement, and no sequel isn't going away. It seems to be a uh uh, it seems to be actually gaining steam right now. What what are the flaws in no sequel? It has your opinion changed >> all? No. So so no sequel originally meant no sequel. Don't use it then. Then the marketing message changed to not only sequel, So sequel is fine, but no sequel does others. >> Now it's all sequel, right? >> And my point of view is now. No sequel means not yet sequel because high level language, high level data languages, air good. Mongo is inventing one Cassandra's inventing one. Those unless you squint, look like sequel. And so I think the answer is no sequel. Guys are drifting towards sequel. Meanwhile, Jason is That's a great idea. If you've got your regular data sequel, guys were saying, Sure, let's have Jason is the data type, and I think the only place where this a fair amount of argument is schema later versus schema first, and I pretty much think schema later is a bad idea because schema later really means you're creating a data swamp exactly on. So if you >> have to fix it and then you get a feel of >> salary, so you're storing employees and salaries. So, Paul salaries recorded as dollars per month. Uh, Dave, salary is in euros per week with a lunch allowance minds. So if you if you don't, If you don't deal with irregularities up front on data that you care about, you're gonna create a mess. >> No scheme on right. Was convenient of larger store, a lot of data cheaply. But then what? Hard to get value out of it created. >> So So I think the I'm not opposed to scheme later. As long as you realize that you were kicking the can down the road and you're just you're just going to give your successor a big mess. >> Yeah, right. Michael, we gotta jump. But thank you so much. Sure appreciate it. All right. Keep it right there, everybody. We'll be back with our next guest right into the short break. You watching the cue from M i t cdo Ike, you right back

>> Live from Barcelona, Spain. It's the cue covering Sisqo Live Europe, brought to you by Cisco and its ecosystem partners. Welcome back >> to Barcelona. Everybody would adapt. Wrapping up day one of Sisqo live Barcelona Cube coverage. I'm David. Long day. He's stupid men. You're watching the Cube. The leader in live tech coverage. Donnie Williams is it director at Scott Equipment out of Louisiana. And Eric hurts August back. He's the CMO of IBM storage. Gentlemen, good to see you. Welcome. >> Thank you for having us. >> You're very welcome. So tell us about Scott equipment. What do you guys do? Look, what's the company all about were >> a heavy equipment dealer, So we've been we've been in the business for eighty years, privately owned company. And so we're we're We started out and farm implement eighty years ago by the founder, Thomas Scott, which is where the name Scott equipment comes from. And so we transition over the years, Teo construction equipment, Andi were now back in two thousand fourteen, we sold all of our the farm stores that handled all of that equipment. And now we're We're strictly servicing the construction industry and petrochemical in >> history. So your dealer of exactly what equipment and your services as well? >> Yes. We service that we were primarily a rental company. First then then we We also sell what we rent. We service service it and and also parts as well. So we're talking massive? Yes, they got. If you if you think our one of our main lines is Volvo, which you have you have you seen the show? Gold rush that that Volvo equipment you see there, that's that's what we sell. So is incredible machine. Yeah, Yeah, they are. Hada chance tio to play with one. I went Teo Shippensburg, Pennsylvania. Where were their North America offices and had a chance to play with their largest excavator? That was That was >> fun. So is a lot of your Senate on sort of the maintenance business in the service business? >> Yes. So we were just mostly. Mirror is like a car dealership. If if you so we were like I said, we do sale service parts, all of that. >> So the business flow starts after the sale is made on >> exactly. Yes. We still like, Yeah, exactly. We get. We get equipment out there in the in the in the territory, and then the revenue continues tio to come in. >> So what are some of the challenges? The external challenges that are driving your business? You really >> are. The whole heavy equipment industry is It's kind of behind the times in my from a dealership perspective from from a manufacturer perspective there. They're somewhat up with technology, especially especially Volvo. But from a dealership there, there might mainly privately owned. So they're not there's not a whole lot of resource is in, and ah, in technology they don't. That's not a focus for them that they're they're focused on the business side of it. So what? We we're not When I first started the company ten, eleven years ago, now there was one guy servicing six hundred employees and and it was one eyed person, one i t person. So, as you can imagine, it was, it was a nightmare. Go. I mean, it's not the guy's fault. I don't blame him at all. Is this Is this the way that they had done business and not change bombed out, >> right? Exactly. Yeah. Guys >> find them. >> So their customer of ours for the versus stack, we have, ah, partner that they've been buying their IBM in their Cisco gear from. And then when they were doing a modernization effort, the reseller talk to Scott and said, Dani, what do you think? How about doing this? Converge infrastructure. Easier to play. It's after. So it all came through their existing channel. Part of that they were using for both IBM gear and Cisco Gear. >> So you wanted a solution. That one guy could run, right? We've now at least growing that company to house. We have six total in our in our department. So we've changed a lot since I started the eleven years ago. >> And why are they spending their time doing what? Premier >> Li? We do a lot of help desk on systems administration way do mostly, uh, are My focus is to make sure that our employees are satisfied that so they could take care of the customer, and that's that's the primary goal. And along with that comes comes systems administration. A cz. Well, so, But, >> you know, a full stack like this. I mean, the joke. You need more than one person, but it's going to be simplified. You know what you're buying, right? Predictable. And therefore, you shouldn't need to be seen on a basis. >> Yes, I like keeping things simple. Simple as possible. So that makes that makes my job easier. It makes my team's job easier. What >> kind of >> things you driving? Is it? You know, data protection, is it? You know what? What? What? What sort of, you know, use cases do you have on your stack >> on that Were from our were servicing on our with Francisco verse. Sorry versus stack. We are mostly it is all profit cloud were servicing applications. That's the supplement. Our court system. So we have reporting solutions. We were when we first bought it. The vs stack way were considering moving to another Air P system. Oh, and we would have that that infrastructure in place tio migrate to that. So we see what we still have that that actually on the table as a as an option >> for us, but the migration to a new Europe E system. Yes, we should talk afterwards. No, you >> were warning that it >> all about you. Of course, you don't want to convert if you don't have to write. But sometimes there's a business case. Sometimes it's hard to make you talk. Cloud in your in your future president were doing some that's ass stuff. >> Yeah, a little of that. I mean, anything. I mean things that that makes sense for us to to cloud I security services we're doing. Of course, probably most common is hosting email. Were doing a lot of that share point that that type of solution in the cloud >> How long you been with the company? Eleven years. Eleven years. Okay, So, thinking about the last decade, I mean, it's a lot of lot has changed. Yes. What's your What do you most proud of? What you like your biggest success that you can share with us. Oh, >> really? Building my the that dude the I T department and bringing our company into the twenty first system century from a from a technology perspective. I mean, like I said, we had one person that was that was handing. It was really impossible. I mean, you couldn't depend. Depends on one person. And and and, yeah, expect the company's or saw survive long term. Yeah, That one person had to say no a lot. Exactly. Right. Why would he? Just couldn't get everything >> done right? So that really that modernization? Yes, I know where you guys >> can. Ninety Mater, My team modernization play. The versus stack is heavily used for that. And, you know, as we said, on the earlier and every we had to see ESPN, we've also used it to do you know, to the next level from a night transformation to the future. Because in that case, as you know that was a CSP who uses it to service. You know, hundreds of customers all across the UK in a service model. And in this case, this is more of a mighty modernization. Take the old stuff, upgraded to what it was. They even have old IBM blade servers. That's how old the stuff wass old, actually, six played servers that must have been ten years old before they went to the Versus Stack. >> How many people in the company >> right now? We've actually sold off side since I've been with the company we sold off. Some of our non performing business units were probably roughly around five hundred fifty now. Okay, so I mean, we're Ah, we're actually more profitable now than we were eleven years ago from Ah, I mean, we have less employees, but our profitability is actually exceeded >> the name of simplification. Exactly. Right. So what's the biggest challenge you face Is the head of it today? The biggest, Probably >> the biggest challenge would be me wanting to implement technologies. They're not really not ready. I want it. I want tohave the competitive edge, that of the industry. I want to be able to be ahead of of the ahead of the curve. Uh, and that's probably the probably biggest challenge. And you're >> saying you can't Because the tech is ready or skills >> is just is just the industry just trying Teo. I work with vendors and getting getting them to be ready for I say, vendors, manufacturers, they're our vendors. Toe Get them Tio and other dealers as well. Teo Teo Albee. Acceptable to technology that's been there twenty years. >> What would you say is the but the top number one or the top things that IBM has done to make your life easier? And what's the one thing they could do that they're they're not doing that could make your life easier. What's the start with what they've done? You know whether successes, you know that >> really? Really. I mean, we've been a long time IBM customer. We have not, not just the versus Stack, but we also have the power system, which were actually runs are our core AARP. Um, okay. And so that we had long standing relationship with IBM, and the reliability is there. The trust is, >> there's well, a long term partnership. But what's the one thing they could do? One thing that you could If you could wave a wand and IBM will do x what would x B to make your life better? Uh, cut the price way. Go >> way. I should have prefaced that something that size >> on that topic. But you know, the power system thing brings up. You know, our friend Bob. Pity on who's running the cognitive systems group now You guys do with some stuff in a I talked about that a little bit. >> So what we've done is two things. First of all, we've been beauty inside of our system's ai ai all over the place. So, for example, we tear data which can weaken due not only to our own array, but literally two four hundred forty rays that have someone else's logo on them. It's all a eye dunce. When the data is hot, it's on the fastest here. So if you have fifteen thousand rpm drives in seventeen hundred rpm drives, it goes to fifteen thousand. When it cools off A. I automatically moves that the storage admin does nothing. You don't set policies, A takes care. We have flash and you have hard drive's same thing. It'll move around and you could have on IBM array talking to any AMC array. So all sorts of technology that we implement, that's a I in the box. Then, on top of that, what we've done is come up with a Siri's of a reference architectures for storage, as one of the critical elements in the platform. So we've done is create what we call a data pipeline. It involves not only our storage raise, but four pieces of our software spectrum scale, which is giant scale out file system, in fact, to fastest super computers in the world have almost half an exabyte of that software storage. With that software, our spectrum discover which we announced in queue for which is all about better management of metadata. So for a I workloads, big get anally work loves the data scientist doesn't prep the data. They can actually talk to what we do, and you could create all these meditate a template, then boom. They run a a ay workload on Thursday and then run a analytic workload on Friday. But all automated our archive and then our cloud objects towards. So all that is really think about it. Maura's an oval because when you're doing an A I system, you're constantly learning. So the thing you got to do is one you've got to have high performance and be ableto handle the analytics, which we do on flash. Okay, so the flashes connected, you've got to be able to move the date around. And part of thing with the spectrum Discover is that we can talk through an A P I to a piece of a AI software two piece of analytic software to piece of big data software, and they can literally go through that. AP I create templates for the metadata and then automatically suck what they need into their app and then munge it and then spirit back out and then obviously on the archives side, you want to be able to quickly recall the data, because if you think about a I system, it's like a human. So it's giving my Russian example. So I'm old enough. When I was a kid, there were bomb shelters in my neighborhood that people dug in the backyard. Then we have, you know, Nixon lightening up with the Chinese and we have Reagan and Gorbachev next, You know, the wall comes down right then. Next thing you know, there's no longer Soviet Union. All of a sudden, no, the Russians might get a little aggressive, even though they're no longer communist. And now, you see, depending on which political party. Either they're totally against us where they're totally helping us. But, you know, if they really were hacking systems whose whatever political party urine, they really were hacking our system, tried to manipulate the election pro or con. The point is, that's kind of like a cyber attack, and that's not a good thing. So we learn and it changes. So when a I system needs to understand and change constantly, learn. If all of a sudden you have flying cars, that's going to be different than a car with tires. Now, a lot of it, maybe the same, the interior, all the amenities. But the engine is going to be different. And there are companies, including the big Big three, four five who are actually working on flying cars, knows it will happen. But the A I system needs to understand and learn that and constantly learning. So the foundation has to be heavily resilient, heavily performance, heavily available, lasting one is an A I system going down on you, especially if you're in health care or big giant manufacturing. Like Volvo, his customer. When they're building those cranes and things, they must cost fifty sixty million dollars at that assembly line goes down its prey a big deal for them. So you need a I systems that always keep your other systems up and running. So you have to have that solid foundation storage underneath. >> Awesome. All right, we got to leave it there. Give the customer the last word. Donnie. First time in Barcelona, right? Yes. It ISS how you find in the show and the >> syphilis is awesome. This's my, actually my fifth, uh, Cisco lifers our first time in Europe, so yeah, enjoying it. >> Good. Good. Well, thank you, guys. For German of the >> correct. Thank you. Have you appreciate it? >> You're welcome. Alright. Keep right there, everybody. We'll be back to rap Day one. Sisqo live Barcelona watching you.

>> Live from Las Vegas, it's theCUBE covering AWS re:Invent 2018 brought to you by Amazon Web Services, Intel and, their Ecosystem Partners. >> Okay, welcome back everyone. Day three, we're live in Las Vegas for AWS re:Invent 2018. It's our sixth year covering Amazon re:Invent and AWS, Amazon Web Services meteoric rise in value, profitability, market share, just a rising tide floating all boats. I'm here with Dave Vellante. We're kicking off day three analyzing, you know, Vernon's keynote. Things start to wind down. Yesterday was kind of the big day with Andy Jassy. Dave, after yesterday it's pretty clear that there's a couple big mega trends that people are talking about. One AWS Outpost, okay, that is going to be a one year conversation about what that means, what implications. I mean basically if you're a Cloud-native company you order a data center and Amazon Prime will deliver it in two days, why would anyone want to buy hardware again from HPE or other companies? This is a huge risk, huge challenge, a huge shot across the bow to the industry because this essentially the thing. This is essentially Cloud in a box. Put it in, plug it in, we'll service, turn it on and it works and developers can just do their thing, that's amazing. So I think that's going to be a very hotly-contested topic throughout, at least one year until they ship that and all the posturing and jockeying's going to go on there. And then the other thing that was interesting was there was a lot of coolness, the F1, Racing car with analytics. You had Lockheed Martin with space satellite provisioning, that was pretty cool. And, you know, you got robots and IoT. That's cool, you got space, you got robots, you got, you know, sports cars all using analytics, all using AI, all using large-scale compute storage and networking, very elastic, all with all kinds of new tools and reference engines, but Jerry Chen laid it out from Greylock yesterday around the strategy. Amazon drives the cost down on the infrastructure side and bring the API concept up to AI and bring the marketplace together. So, a lot of action. Today we're going to see the impact and the fallout of that. What's your thoughts? >> Well, first of all John, there's so much to talk about. I want to say, so Werner Vogels this morning gave the keynote. When, when I first joined, you know this industry, we, IBM was everything, IBM was the dominant player. So we used to pour over IBM system and technology guides, and IBM white papers, because they set the technical standard for the industry and they shared that knowledge obviously with their customers to inspire them to buy more stuff, but they were giving back to the community as well to help people understand architectures and core computer science. Listening to Werner Vogels today, Amazon is now the beacon of technology in the industry. He went through the worse day of his life, which was December 12, 2004 when their Oracle Database went down for 12 hours because of a bug in the code and because they were pushing it beyond its limits. And so he described how they solved that problem over a multi-year effort and really got heavy into the technology of database, and recovery, and it was actually quite fascinating. But my takeaway was Amazon is now the company that is setting the technical direction of the industry for the next wave of Cloud-based applications. So that was actually really fascinating. We heard similar things on S3 and S3 recovery, even though they're still using some Oracle stuff it was really, really fascinating to see and very, very impressive. So that's one. As you say, there's so much to talk about. The IoT pieces, John, I really like what Amazon is doing with IoT. They're coming at it from a bottoms up approach, what do I mean by that? Do you remember when mobile first came out Microsoft basically said, hey we're going to put Windows on a phone, top down. We're going to take our existing IT Desktop standards, we're going to push 'em down to mobile, didn't work. And I see a lot of IT companies trying to do that with IoT today, not Amazon. Amazon's saying, look we're going to go bottoms up and serve the operation's technology people with a software development platform that's secure, that allows it, that's fully managed and allows them to build applications for IoT. I think it's the right approach. >> I think the other thing that's coming out is a Tweet here from Bobby Allen who we know from theCUBE days. I, you know, when we, I shared a Tweet about, you know, the future of the converged infrastructure on the outpost he says, software should be where tech companies differentiation value lies. This is back to our beating of the drum about software, software, software, you know. Andy Bechtolsheim, the Rembrandt of motherboards, Pat Gelsinger calls him, said, he's the founder of Arista, hardware's easy, software's hard. Software's where the action is. What Amazon's doing is essentially pushing large-scale platform capabilities and trying to make that as cheap and affordable as possible, the range of services, while creating a new shim layer around API concepts and microservices up the stack to enable people to write software faster, more compelling, more meaningful, and to iterate, and this is resonating with customers, Dave, because if I'm a business I got to write software, okay. I don't want to be in the running data center business because the data center powers the business. So the end doesn't justify the means in that regard. You say, hey, I need a data center to power my top-line revenue which is either going to be software-based or some sort of Edge network scenario, or even a human interface wearable or whatever. Software is the key. So if Amazon can continue to push the cost structure the lock-in spec is locked in because the better value so if it's going to be 80% less cost, and you call that a lock-in spec? A lot of lock-in spec, it's not like a technical lock-in spec, that's just called value. >> I'm locked in to Google Search. I mean, you know, I don't know what to tell ya. I'm not going to use any alternative search I'm just familiar with it, I like it, it's better. >> But software's the key, your thoughts. >> Okay, so, my thoughts on lock-in are, lock-in is one of the most overstated concepts in the business. I'm not saying that lock-in doesn't happen, it does happen, it happens everywhere. It happens across open-source. You do open-source you're locked-in to your developers. I've done research on this John and my research shows that 15% of the buyers really make primary decisions based on whether or not they're going to be locked-in. 85% look at the business value and they trade that off against lock-in so, you know, yeah, buyer beware, blah, blah, blah, but I think it's just really overstated. Yes, it's a Cloud, mother of all lock-ins, but what's the value that you get out of it? Speaking about another lock-in. I want to talk about Intel a little bit because the press has been like chirping about, about Intel and alternative processors, and the arm-based stuff that Amazon is doing. >> Well hold on, let's just set the table on this conversation. Intel announced a series of proprietary processors, their own silicon, you know the-- >> Amazon you mean. >> I mean Amazon, yeah, proprietary processors that are specific to certain workloads, inference engines, and other things around network-- >> Based on the Annapurna acquisition of 2015, a small Israeli-based company that they acquired. >> Yeah, so the press, I've been sharing on, oh, chips must be confronting Intel, your thoughts. >> Yeah, so here's the deal. Look it, Intel is massive and they do a huge amount of business with the Cloud players. Now, here's the thing about Intel, it's really, I've observed Intel for decades. Intel wants a level playing field amongst its customer base and so it wants a lot of different Cloud suppliers even though there's three, four, five, you know, worldwide, there's, there's many dozens, and hundreds of Cloud players out there. Intel wants to support them all. They're an arms dealer, right? They love all their customers and so, so what they do is they sprinkle around the innovation in the industry, they try to open up their architecture such that people can, you know, write software to their architecture and they try to support all their customers. We see it at all the shows. You see it at Lenovo, you see it at Dell, you see it here at AWS, you see at Google, Intel is everywhere and they are by far the biggest supplier. Now, Amazon, of course, has to have alternatives, right? They care about data-center power, you know, they do buy some stuff AMD, why not, why wouldn't you second-source some of this stuff? They do a lot of work with Invidia, ARM has its place, and so, but it's a rounding error in the grand scheme in the market. Now why people get excited is they say, okay, ARM now has a foot in the door, oh, Intel's in trouble. Intel obviously still a dominant player. I think it's, you know-- >> Is Intel in trouble? >> The press likes to glom onto that. Intel's like the dominant player in the microprocessor business and it has to move, and it has to move fast. I would not say Intel is in trouble, I'd say it continues to be the dominant player in the data center. It's got opportunities for alternative processors like Invidia. Intel strategy is to put as much function on the DI as possible and to grab that function, it's always the way it's behaved. You see people like Invidia trying to create opportunities, and doing a very good job of it, and so, there's white space there. It's competition, we love competition, right? >> Here's my, here's my. >> Intel needs some competition frankly. >> Here's my take. One, Intel pays, Amazon pays Intel a lot of money. >> Huge amount of money. >> So it's not like Intel's hurting, Intel's not in trouble. Here's why Intel's not in trouble. One, the Cloud service provider business that Raejeanne runs, she was on theCube yesterday, is growing significantly. A new total adjustable market, they call TAM expansion, is happening. >> So, you know, if you're looking at microprocessors it's not a one, or few, suppliers, it's a total TAM expansion and of course with that expansion of the market Intel's going to take a big chunk of the shares, so they are not in trouble, Amazon pays them a lot of money, they're a big-time supplier to AWS, check. Two, Intel is on a cadence on processor design that spans years. And Raejeanne and other Intel executives have spoken to us off the record, and here on theCUBE that hey, you know, sometimes there's use cases where they're not responding fast enough that are outside they're operating cycles, but as Raejeanne said, Amazon makes them get better, okay? So, they have to manage that, but there's no way Intel's in trouble. I think the press are using this as, to create link bait, for news that is sensational. But, yeah, I mean, on the surface you go, oh, chip, Intel, oh that's Intel's business, it must be bad for Intel. So, yeah, Amazon made their own processor. They got some specific things they want to build specialized processors for like GP Alternative, or inference engines that are tied to the stack, why wouldn't they? Why wouldn't they? >> What Intel will do, what Intel will do is they'll learn from that and they'll respond with functionality for maybe others, or maybe they'll earn Amazon's business, we'll see, but yield to your point, you know, Intel's exposure to the desktop and the laptop, a lot of people wrote about that, that Intel is, the (mumbles) entry is Intel's business, they're so huge, the cost of doing what they do, Intel's such a strategic supplier to so many companies and as we talked to Raejeanne about yesterday the Cloud has completely changed that dynamic and actually brought more suppliers. The data center consolidation that you've seen has been offset by the Cloud explosions, that's a good trend for Intel. And of course the mobile dynamic, you know more about that then I do, but, everybody said mobile's going to kill Intel, it obviously didn't happen. >> Look it, Intel, Intel's smart, they've been around, they're going to not miss the ball. They got a big team that services a lot of these big players. >> Are they still paranoid in your opinion? >> I think they are. >> I do too. >> I do too, I mean I, look it, Intel is, have a cadence of Moore's law. They have a execution style that's somewhat similar to AWS, they've very strict about how they execute and they have a great execution engine. So I would bet the farm that Intel's talking to Amazon and saying, what do you need for us to be better? And if Amazon does what they do best, which is tell them what they need, Intel will deliver. So I'm kind of not worried about Intel on that front. I think in the short term maybe this processor doesn't fit for that, but, that's why GPUs became popular, floating point was a unique thing that CPUs didn't do well on so a GPU comes out, there it is. And we're going to see processors like data-processing units, Pradeep Sindu, former founder of Juniper's, got a venture called, Fungible, that's building a data-processing unit. It's a dedicated chip to serve analytic workloads. These are specialized silicon chips that are going to come on faster, and, to the marketplace. So , just because there's more chips doesn't mean Intel dies 'cause if the TAM expands it's a, it's an overall bigger market so their share might not be as dominant on a smaller market, but it's-- >> You know, I got a, I got to come back to your John Chambers interview. I've watched it a couple times now and I would recommend people would go to, thecube.net, and see John Furrier's interview with John Chambers. The great companies of this industry have survived, you know, I talked about paranoia, Andy Grove, they've survived because they were not dogmatic about the past. So for the past several decades this industry has marched to the cadence of Moore's law and that was obviously very favorable to Intel. Well, that's changing, and it's changed, the innovation engine now, you've called it the innovation sandwich, which is data, machine intelligence applied to that data, in the scale of Cloud. So Intel has to pivot to that to take advantage of that and that's exactly what they're doing. So the great companies of the future, the Microsoft's, the Intel's, the AWS's, they survive because they can evolve. It's the Wang's that didn't, they denied, it was the PC-- >> They were entitled. >> The digital, right. They thought they were entitled and the point that John Chambers made is there's no entitlement and he kept referring to Boston 128, it used to be the Silicon Valley. And the leading executives today, of companies like, like Cisco, like Intel, like Microsoft, can see a vision to the future and they change when they have to change. >> So companies that are entitled, who are they (chuckling)? >> Wow, that' a really-- >> Is Oracle entitled? >> A good question. >> HPE, Dell? >> I think Oracle absolutely acts as though they're entitled and they're bunkering down into their red stack. Now, you know I've often said, don't bet against Larry Ellison, and I wouldn't make that bet against Larry Ellison, but his TAM is confined to Oracle customers. He's not currently going after, non-Oracle customers in my opinion at least not with a strategy that's obvious to me. And I think that's part of the reason why Thomas Kurian left the company is I think they had a battle about that, at least that's what my sources tell me. I haven't talked to him directly, I actually don't know him, but I know people who know him and have worked with him. HPE, I think HPE is more confused as to what the next step is. When they split the company apart they kind of gave up on software, they gave up on an integrated-supply chain. Mike Odell took the other approach, and thanks to VMware he's got a wining strategy. So, I think today's leading executives realize that they have to change. Look at Ginni Rometty, remember IBM was in trouble in my opinion because Watson failed, and their Cloud strategy essentially failed. So they just made a 34 billion dollar acquisition, a Red Hat, which is a bold move. And that, again, demonstrated a company who said, okay, hey it's not working, we have to pivot and we have to invest and go forward. >> Alright Dave, great kickoff day three. Andy Jassy coming up at the end of the day and he's going to do his annual, kind of, end of the last day roundup on theCUBE, kind of lean back, talk about what's going on and how he feels from the quotes, what people missed, what people got, and do a full review of re:Invent 2018. Day three kicks off here, CUBE, two sets on the floor gettin' all the content. We already have over a hundred videos. We'll have 500 total video assets, go to siliconangle.com and check out the blog there. A lot of stories flowing, a lot of flow, a lot of demand for the content. Stay with us for more after this short break.

>> Live, from Las Vegas, it's theCUBE, covering Boomi World 2018. Brought to you by Dell Boomi. >> Welcome back to theCUBE, we are live at Boomi World 2018 at the Encore Las Vegas. I am Lisa Martin with my co-host John Furrier, and we're excited to welcome the CMO, the new CMO of Dell Boomi, Mandy Dhaliwal. Mandy, welcome to theCUBE. >> Thank you Lisa, it's great to be here. >> And thanks for having us here. >> Oh my gosh. >> Second annual Boomi World >> Yes >> Doubled in size from last year, moved it from San Francisco to Las Vegas. This morning's keynote was action-packed, standing room only, and some of the stats that really struck out at me: five new customers are being added to Dell Boomi everyday, over 7500 customers to date, your Dell Boomi community is over 64,000 strong, there's a lot of momentum. Talk to us about, you're new, been seven weeks, what are some of the things that excited you about coming to lead marketing for Dell Boomi? >> Oh my gosh, hard to pinpoint one thing. So many wonderful things about this company. Market leading technology, Gartner Magic Quadrant leader five years in a row, right? Just fantastic reputation in the technology landscape. Everybody has very positive things to say about Boomi. The company culture, right? Companies like this don't come around everyday. It's fantastic, everybody is very collaborative, we have a winning culture, we put customers first. We don't just talk to the talk, we walk the walk, and it's fantastic to be a part of it. Outstanding sales team, outstanding leadership team, I could go on. >> Michael Dell said 80%, sales are booming at Boomi. But, as far as a marketer, or CMO, you have a challenge. You have a successful company that was acquired by Dell eight years ago, incubated, and is part of the puzzle pieces of the Micheal Dell strategy. You have all of Dell Technologies' portfolio, but Boomi seems to be one of the key ingredients. You got VMware, everyone knows what's going on there, Pivotal, and now Dell Boomi, born in the cloud. So you got product market fit, check. >> Absolutely, yes. >> Now you got to get the word out, you got to drive value, be part of that flagship trio that's Dell Technologies. >> Right, right. >> That's a big task, how are you going to attack that? What's your plan, what's the vision? >> First and foremost, it's awareness, right? We've got to get the word out. We've got so many wonderful customer stories, that we just need to share with the world. Our own company, amongst Dell Technologies, day one, Dell EMC merger, sales force was integrated, day one. And guess who did that, what technology was behind the scenes? We drink our own champagne. >> That's impressive considering I can't even imagine the sheer number of sales force instances that came together in a single day >> Absolutely, customer service. We're our own best proof point. Dell Technologies is our largest enterprise case study. Customer service, across RSA, Secureworks, and Dell Boomi, one point of contact, one phone call. We get notes and if there's an issue with any one of our customers, we're able to pass through that customer request directly to the company that needs to be dealing with the customer. We don't make the customer hang up and call another number. >> So cloud scale certainly gives you an advantage, we heard that. Product is strong, data now is becoming much more instrumental across horizontal data sets. So it's not just the silo data and do some integration, you got cloud native, you got VMware and the enterprise, you've got Pivotal, Kubernetes, Cloud Foundry, cloud native stuff. How are you guys going to take that data explosion and make it trustable? Is that part of the plan, is that going to be a key part of that? >> Trustable in terms in privacy and data governance? >> Just leveraging the data, being data driven. You mention integrating sales, that's a tough job that has to be done, check. But now how do you get value out of the app and the workloads that run with that data? >> Well it's a complex ecosystem that we're a part of, right? And that's Boomi's job, we radically simplify that whole ecosystem, so the value is starting to show. We're about to unleash next week a Forrester TEI study. So we took a conglomerate with five of our top enterprise customers and built this 300 billion dollar business as a scenario, and started to look at the value that Boomi was able to derive in terms of cost reduction, in terms of savings on infrastructure costs, in terms of innovation potential, as far as speeding up their routes to market, in the ROI, which came back conservative from an innovation potential perspective, because you really can't quantify what you don't know, 300% was the number in terms of the ROI that we're able to deliver as a Boomi-empowered business. >> Which is huge, there were, besides that, a number of other really eye-popping quantitative stats, business outcomes, that that Forrester Total Economic Impact study covered, one of them being, incremental revenue is the biggest benefit that Dell Boomi customers get, 3.4 million of incremental revenue. Here's some other stats that I saw here that I thought were really transformative are, cutting development times by 70%, freeing up IT resources, being able to reallocate them, helping, ultimately, accelerate the pace of innovation, which we know is critical to transforming and continuing to use data, and to John's point, establish that trust, not just with customers and partners, but also internally. >> Absolutely. Every company's a software company, right? We've been hearing that now for years. We practice it, we live it every day, we're empowering these brands to go out and do what they do best and re-imagine their businesses from their customers' perspectives. It's incredibly powerful, it's exciting. >> And you, sorry John, I was going to say you've got, speaking of customers, over 92% of the breakout sessions here have customers and partners, and I know as a marketer how challenging it is to get. And you said about 68 customers here speaking on your behalf. >> Absolutely. >> That's huge. >> Our community is tremendous. We truly partner with our customers, and it shows. You heard Chris Port on stage, recognizing customers for innovation in various categories. We take our customers and partner with them for them to be successful. The company culture extends beyond the employees, and it's been the secret to our success. We're able to help them unlock the value of their businesses. It starts with the data and the applications, but at the end of the day, we're an enterprise transformation company. And you're going to start to see a lot more of that in the coming months, as far as messaging, and the value that we deliver as a platform. >> I want to give you thoughts, Mandy, on a couple things. One is the technology partner program, and the ecosystem, you mentioned that, but also you're starting to see the messaging change around Boomi, Dell Boomi. Integration, certainly we know how hard it is, as a glue layer, to put stuff together, but you guys are talking about connecting businesses. So you're now moving up the value proposition, the more holistic kind of perspective. By design, is there a rationale for it? Can you explain why this is happening, what's the evolution? >> The market is taking us there, right? The customer need is where we're focused. Digital transformation, right now, today, the stats that we have, only 26% of digital transformations succeed. We've got an awful lot of customers saying, "Hey, we got to get this figured out." It's on the C-suite agenda, it's on the boardroom agenda. It has to succeed, it's innovate or die. There's stats out there in terms of how many of the Fortune 500 are going to be around 10 years from now, five years from now, right? Boomi is that company that will solve those problems. Michael said it this morning. >> And speed's important too, they got to get there faster. >> Absolutely, absolutely. >> And that's not what they're used to. (chuckles) >> We have a very simple UI, very plug-and-play, drag-and-drop platform that helps our customers go deliver. Not to mention the power of the analytics and the AI that we've got behind us. We've got the pattern recognition down. >> Talking about the partner program, I'll say (mumbles) some of the announcements. Yesterday was a partner day. What happened yesterday, what's going on today, what's the vibe of the show, ecosystem, partner program, what are the new things? >> You know, bottom line for the partners, we're here to help them extend their businesses. There's tremendous momentum in the market as far as, we're pulling through demand on the integration scenarios. You know, we've got Deloitte and TCS, Accenture, some of our top sponsors here, our sponsorships are sold out, right? Our partners are here in this ecosystem. Dell Technologies, right behind us. It's a tremendous show of force, it's fantastic. And it just shows you the market potential and the need out there. Customers are clamoring for these types of solutions. >> As the CMO, I want to get your take on some of the messaging breakdown. One of them that came out today, left bold messaging is, not only, as you mentioned a minute ago, Dell Boomi is the transformation partner, but also that, "Hey we're re-imagining the 'i' in iPass." iPass is a competitive, well-established market. You guys are using your own, upwards of 30 terabytes of anonymous metadata to make the Boomi unified platform smarter, more responsive. As you look to help that 76% of customers who are failing in their digital transformations, how is the "re-imagined" 'i' in iPass going to be a facilitator of that? >> It's putting the user at the center of the experience. Steve Wood, our Chief Product Officer, is going to be on stage tomorrow, doing a demo of this re-imagined user experience. It's driven by the data that we've got, It's driven by the patterns that we've been able to look at as far as business processes and integrations, and be able to provide a user experience where the customer's at the center, I go with a problem, not a list of technologies that I need to connect. Mandy wants to build EDI for a couple of trading partners, right? I don't need to tell Boomi that, I need to tell them, "I need this outcome, "and I need data to be transferred from here to here," and at the end of the day, I, from my cell phone, want to be able to figure out what's going on as far as my supply chain. I want to know where that boat is, coming for Black Friday. Is my inventory hitting the port when it needs to? I should be able to see that from my phone. That's what we're doing, we're giving the power back to the users, and enabling them to go power their businesses. >> As a new person to Dell, we've known each other, at the last (mumbles) you were at a born in the cloud, Amazon sets the agenda for a lot of the cloud computing market, you guys are cloud native as a startup, really kind of nailed that stats formula with Boomi. Dell is not restrictive in the sense, but it's got a lot of muscle behind you. Boomi seems to be standing on its own and flying out, like VMware, while it's still 100% owned by Dell. Those trends are big, that's a big wave that you're on. How are you thinking about it as you look at your assignment as the CMO, how are you going to ride that wave, are you going to hang 10 early, are you going to build it out slowly? What's going on? >> Oh, we're going. We're going for it. We're going to go ride that wave, it's here. If anything, we've got to work better with our Dell Technologies partners, right? We're getting in deeper from a go-to-market standpoint, with a lot of the enterprise reps already in the ecosystem. We're looking at driving customer value. As Michael said, there's always a need for Boomi. We haven't found a single opportunity yet that Boomi isn't needed. >> So you're on a growth curve? >> We're absolutely on a growth curve. It's just, we can't get there fast enough. We're hiring like crazy, we're, you know, we're just doing it. >> What kind of jobs you guys looking for, what's the hiring, what are your needs? Take a minute to share. >> Technical talent is always priority number one for a company like ours. On the go-to-market side as well, we need sales people, you know I've got marketing recs out already, check our website. There's lots of opportunity from a VD standpoint partner as well, so tremendous opportunity on the go-to-market side as well as on the R&D side. >> Looks like Boomi is going to be one of those flagships for Dell Technologies. >> I certainly hope so, that's my vision. >> I mean, you've got good company. VMware didn't skip a beat, Pivotal's growing like a weed, Dell Boomi's exploding in a big way, you guys are doing great, congratulations. >> Thank you, thank you. >> And another thing, before we wrap up here, that is impressive, all those companies, those Dell companies that John just mentioned, including Dell Boomi as a business unit, all of them have women at the executive level. There are six CMOs, including yourself, female CMOs in that position, and that's something that theCUBE has always long been a supporter of women in technology, and I always admire that. It's great, congratulations on your appointment. It's great seeing a strong female leader in a role. And your energy is contagious, so. It's a good thing that they got you on that growth trajectory, 'cause I can feel it. >> It's happening, it's going to be amazing. And thank you for being a part of this journey with us. >> Thanks so much, Mandy, for having us, we appreciate your time, and have a great time at the rest of the event, we'll see you next year. >> Thank you, thank you. >> For John Furrier, I'm Lisa Martin. You're watching theCUBE live from Boomi World 2018, John and I will be right back with our next guest. (digital music)