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Sue Barsamian | International Women's Day


 

(upbeat music) >> Hi, everyone. Welcome to theCUBE's coverage of International Women's Day. I'm John Furrier, host of theCUBE. As part of International Women's Day, we're featuring some of the leading women in business technology from developer to all types of titles and to the executive level. And one topic that's really important is called Getting a Seat at the Table, board makeup, having representation at corporate boards, private and public companies. It's been a big push. And former technology operating executive and corporate board member, she's a board machine Sue Barsamian, formerly with HPE, Hewlett Packard. Sue, great to see you. CUBE alumni, distinguished CUBE alumni. Thank you for coming on. >> Yes, I'm very proud of my CUBE alumni title. >> I'm sure it opens a lot of doors for you. (Sue laughing) We're psyched to have you on. This is a really important topic, and I want to get into the whole, as women advance up, and they're sitting on the boards, they can implement policy and there's governance. Obviously public companies have very strict oversight, and not strict, but like formal. Private boards have to operate, be nimble. They don't have to share all their results. But still, boards play an important role in the success of scaled up companies. So super important, that representation there is key. >> Yes. >> I want to get into that, but first, before we get started, how did you get into tech? How did it all start for you? >> Yeah, long time ago, I was an electrical engineering major. Came out in 1981 when, you know, opportunities for engineering, if you were kind, I went to Kansas State as an undergrad, and basically in those days you went to Texas and did semiconductors. You went to Atlanta and did communication satellites. You went to Boston or you went to Silicon Valley. And for me, that wasn't too hard a choice. I ended up going west and really, I guess what, embarked on a 40 year career in Silicon Valley and absolutely loved it. Largely software, but some time on the hardware side. Started out in networking, but largely software. And then, you know, four years ago transitioned to my next chapter, which is the corporate board director. And again, focused on technology software and cybersecurity boards. >> For the folks watching, we'll cut through another segment we can probably do about your operating career, but you rose through the ranks and became a senior operating executive at the biggest companies in the world. Hewlett Packard Enterprise, Hewlett Packard Enterprise and others. Very great career, okay. And so now you're kind of like, put that on pause, and you're moving on to the next chapter, which is being a board director. What inspired you to be a board director for multiple public companies and multiple private companies? Well, how many companies are you on? But what's the inspiration? What's the inspiration? First tell me how many board ships you're on, board seats you're on, and then what inspired you to become a board director? >> Yeah, so I'm on three public, and you are limited in terms of the number of publics that you can do to four. So I'm on three public, and I'm on four private from a tech perspective. And those range from, you know, a $4 billion in revenue public company down to a 35 person private company. So I've got the whole range. >> So you're like freelancing, I mean, what is it like? It's a full-time job, obviously. It's a lot of work involved. >> Yeah, yeah, it's. >> John: Why are you doing it? >> Well, you know, so I retired from being an operating executive after 37 years. And, but I loved, I mean, it's tough, right? It's tough these days, particularly with all the pressures out there in the market, not to mention the pandemic, et cetera. But I loved it. I loved working. I loved having a career, and I was ready to back off on, I would say the stresses of quarterly results and the stresses of international travel. You have so much of it. But I wasn't ready to back off from being involved and engaged and continuing to learn new things. I think this is why you come to tech, and for me, why I went to the valley to begin with was really that energy and that excitement, and it's like it's constantly reinventing itself. And I felt like that wasn't over for me. And I thought because I hadn't done boards before I retired from operating roles, I thought, you know, that would fill the bill. And it's honestly, it has exceeded expectations. >> In a good way. You feel good about where you're at and. >> Yeah. >> What you went in, what was the expectation going in and what surprised you? And were there people along the way that kind of gave you some pointers or don't do this, stay away from this. Take us through your experiences. >> Yeah, honestly, there is an amazing network of technology board directors, you know, in the US and specifically in the Valley. And we are all incredibly supportive. We have groups where we get together as board directors, and we talk about topics, and we share best practices and stories, and so I underestimated that, right? I thought I was going to, I thought I was going to enter this chapter where I would be largely giving back after 37 years. You've learned a little bit, right? What I underestimated was just the power of continuing to learn and being surrounded by so many amazing people. When, you know, when you do, you know, multiple boards, your learnings are just multiplied, right? Because you see not just one model, but you see many models. You see not just one problem, but many problems. Not just one opportunity, but many opportunities. And I underestimated how great that would be for me from a learning perspective and then your ability to share from one board to the other board because all of my boards are companies who are also quite close to each other, the executives collaborate. So that has turned out to be really exciting for me. >> So you had the stressful job. You rose to the top of the ranks, quarterly shot clock earnings, and it's hard charging. It's like, it's like, you know, being an athlete, as we say tech athlete. You're a tech athlete. Now you're taking that to the next level, which is now you're juggling multiple operational kind of things, but not with super pressure. But there's still a lot of responsibility. I know there's one board, you got compensation committee, I mean there's work involved. It's not like you're clipping coupons and having pizza. >> Yeah, no, it's real work. Believe me, it's real work. But I don't know how long it took me to not, to stop waking up and looking at my phone and thinking somebody was going to be dropping their forecast, right? Just that pressure of the number, and as a board member, obviously you are there to support and help guide the company and you feel, you know, you feel the pressure and the responsibility of what that role entails, but it's not the same as the frontline pressure every quarter. It's different. And so I did the first type. I loved it, you know. I'm loving this second type. >> You know, the retirement, it's always a cliche these days, but it's not really like what people think it is. It's not like getting a boat, going fishing or whatever. It's doing whatever you want to do, that's what retirement is. And you've chose to stay active. Your brain's being tested, and you're working it, having fun without all the stress. But it's enough, it's like going the gym. You're not hardcore workout, but you're working out with the brain. >> Yeah, no, for sure. It's just a different, it's just a different model. But the, you know, the level of conversations, the level of decisions, all of that is quite high. Which again, I like, yeah. >> Again, you really can't talk about some of the fun questions I want to ask, like what's the valuations like? How's the market, your headwinds? Is there tailwinds? >> Yes, yes, yes. It's an amazing, it's an amazing market right now with, as you know, counter indicators everywhere, right? Something's up, something's down, you know. Consumer spending's up, therefore interest rates go up and, you know, employment's down. And so or unemployment's down. And so it's hard. Actually, I really empathize with, you know, the, and have a great deal of respect for the CEOs and leadership teams of my board companies because, you know, I kind of retired from operating role, and then everybody else had to deal with running a company during a pandemic and then running a company through the great resignation, and then running a company through a downturn. You know, those are all tough things, and I have a ton of respect for any operating executive who's navigating through this and leading a company right now. >> I'd love to get your take on the board conversations at the end if we have more time, what the mood is, but I want to ask you about one more thing real quick before we go to the next topic is you're a retired operating executive. You have multiple boards, so you've got your hands full. I noticed there's a lot of amazing leaders, other female tech athletes joining boards, but they also have full-time jobs. >> Yeah. >> And so what's your advice? Cause I know there's a lot of networking, a lot of sharing going on. There's kind of a balance between how much you can contribute on the board versus doing the day job, but there's a real need for more women on boards, so yet there's a lot going on boards. What's the current state of the union if you will, state of the market relative to people in their careers and the stresses? >> Yeah. >> Cause you left one and jumped in all in there. >> Yeah. >> Some can't do that. They can't be on five boards, but they're on a few. What's the? >> Well, and you know, and if you're an operating executive, you wouldn't be on five boards, right? You would be on one or two. And so I spend a lot of time now bringing along the next wave of women and helping them both in their career but also to get a seat at the table on a board. And I'm very vocal about telling people not to do it the way I do it. There's no reason for it to be sequential. You can, you know, I thought I was so busy and was traveling all the time, and yes, all of that was true, but, and maybe I should say, you know, you can still fit in a board. And so, and what I see now is that your learnings are so exponential with outside perspective that I believe I would've been an even better operating executive had I done it earlier. I know I would've been an even better operating executive had I done it earlier. And so my advice is don't do it the way I did it. You know, it's worked out fine for me, but hindsight's 2020, I would. >> If you can go back and do a mulligan or a redo, what would you do? >> Yeah, I would get on a board earlier, full stop, yeah. >> Board, singular, plural? >> Well, I really, I don't think as an operating executive you can do, you could do one, maybe two. I wouldn't go beyond that, and I think that's fine. >> Yeah, totally makes sense. Okay, I got to ask you about your career. I know technical, you came in at that time in the market, I remember when I broke into the business, very male dominated, and then now it's much better. When you went through the ranks as a technical person, I know you had some blockers and definitely some, probably some people like, well, you know. We've seen that. How did you handle that? What were some of the key pivot points in your journey? And we've had a lot of women tell their stories here on theCUBE, candidly, like, hey, I was going to tell that professor, I'm going to sit in the front row. I'm going to, I'm getting two degrees, you know, robotics and aerospace. So, but they were challenged, even with the aspiration to do tech. I'm not saying that was something that you had, but like have you had experience like that, that you overcome? What were those key points and how did you handle them and how does that help people today? >> Yeah, you know, I have to say, you know, and not discounting that obviously this has been a journey for women, and there are a lot of things to overcome both in the workforce and also just balancing life honestly. And they're all real. There's also a story of incredible support, and you know, I'm the type of person where if somebody blocked me or didn't like me, I tended to just, you know, think it was me and like work harder and get around them, and I'm sure that some of that was potentially gender related. I didn't interpret it that way at the time. And I was lucky to have amazing mentors, many, many, many of whom were men, you know, because they were in the positions of power, and they made a huge difference on my career, huge. And I also had amazing female mentors, Meg Whitman, Ann Livermore at HPE, who you know well. So I had both, but you know, when I look back on the people who made a difference, there are as many men on the list as there are women. >> Yeah, and that's a learning there. Create those coalitions, not just one or the other. >> Yeah, yeah, yeah, absolutely. >> Well, I got to ask you about the, well, you brought up the pandemic. This has come up on some interviews this year, a little bit last year on the International Women's Day, but this year it's resonating, and I would never ask in an interview. I saw an interview once where a host asked a woman, how do you balance it all? And I was just like, no one asked men that. And so it's like, but with remote work, it's come up now the word empathy around people knowing each other's personal situation. In other words, when remote work happened, everybody went home. So we all got a glimpse of the backdrop. You got, you can see what their personal life was on Facebook. We were just commenting before we came on camera about that. So remote work really kind of opened up this personal side of everybody, men and women. >> Yeah. >> So I think this brings this new empathy kind of vibe or authentic self people call it. Is remote work an opportunity or a threat for advancement of women in tech? >> It's a much debated topic. I look at it as an opportunity for many of the reasons that you just said. First of all, let me say that when I was an operating executive and would try to create an environment on my team that was family supportive, I would do that equally for young or, you know, early to mid-career women as I did for early to mid-career men. And the reason is I needed those men, you know, chances are they had a working spouse at home, right? I needed them to be able to share the load. It's just as important to the women that companies give, you know, the partner, male or female, the partner support and the ability to share the love, right? So to me it's not just a woman thing. It's women and men, and I always tried to create the environment where it was okay to go to your soccer game. I knew you would be online later in the evening when the kids were in bed, and that was fine. And I think the pandemic has democratized that and made that, you know, made that kind of an everyday occurrence. >> Yeah the baby walks in. They're in the zoom call. The dog comes in. The leaf blower going on the outside the window. I've seen it all on theCUBE. >> Yeah, and people don't try to pretend anymore that like, you know, the house is clean, the dog's behaved, you know, I mean it's just, it's just real, and it's authentic, and I think that's healthy. >> Yeah. >> I do, you know, I also love, I also love the office, and you know, I've got a 31 year old and a soon to be 27 year old daughter, two daughters. And you know, they love going into the office, and I think about when I was their age, how just charged up I would get from being in the office. I also see how great it is for them to have a couple of days a week at home because you can get a few things done in between Zoom calls that you don't have to end up piling onto the weekend, and, you know, so I think it's a really healthy, I think it's a really healthy mix now. Most tech companies are not mandating five days in. Most tech companies are at two to three days in. I think that's a, I think that's a really good combination. >> It's interesting how people are changing their culture to get together more as groups and even events. I mean, while I got you, I might as well ask you, what's the board conversations around, you know, the old conferences? You know, before the pandemic, every company had like a user conference. Right, now it's like, well, do we really need to have that? Maybe we do smaller, and we do digital. Have you seen how companies are handling the in-person? Because there's where the relationships are really formed face-to-face, but not everyone's going to be going. But now certain it's clearly back to face-to-face. We're seeing that with theCUBE as you know. >> Yeah, yeah. >> But the numbers aren't coming back, and the numbers aren't that high, but the stakeholders. >> Yeah. >> And the numbers are actually higher if you count digital. >> Yeah, absolutely. But you know, also on digital there's fatigue from 100% digital, right? It's a hybrid. People don't want to be 100% digital anymore, but they also don't want to go back to the days when everybody got on a plane for every meeting, every call, every sales call. You know, I'm seeing a mix on user conferences. I would say two-thirds of my companies are back, but not at the expense level that they were on user conferences. We spend a lot of time getting updates on, cause nobody has put, interestingly enough, nobody has put T&E, travel and expense back to pre-pandemic levels. Nobody, so everybody's pulled back on number of trips. You know, marketing events are being very scrutinized, but I think very effective. We're doing a lot of, and, you know, these were part of the old model as well, like some things, some things just recycle, but you know, there's a lot of CIO and customer round tables in regional cities. You know, those are quite effective right now because people want some face-to-face, but they don't necessarily want to get on a plane and go to Las Vegas in order to do it. I mean, some of them are, you know, there are a lot of things back in Las Vegas. >> And think about the meetings that when you were an operating executive. You got to go to the sales kickoff, you got to go to this, go to that. There were mandatory face-to-faces that you had to go to, but there was a lot of travel that you probably could have done on Zoom. >> Oh, a lot, I mean. >> And then the productivity to the family impact too. Again, think about again, we're talking about the family and people's personal lives, right? So, you know, got to meet a customer. All right. Salesperson wants you to get in front of a customer, got to fly to New York, take a red eye, come on back. Like, I mean, that's gone. >> Yeah, and oh, by the way, the customer doesn't necessarily want to be in the office that day, so, you know, they may or may not be happy about that. So again, it's and not or, right? It's a mix. And I think it's great to see people back to some face-to-face. It's great to see marketing and events back to some face-to-face. It's also great to see that it hasn't gone back to the level it was. I think that's a really healthy dynamic. >> Well, I'll tell you that from our experience while we're on the topic, we'll move back to the International Women's Day is that the productivity of digital, this program we're doing is going to be streamed. We couldn't do this face-to-face because we had to have everyone fly to an event. We're going to do hundreds of stories that we couldn't have done. We're doing it remote. Because it's better to get the content than not have it. I mean it's offline, so, but it's not about getting people to the event and watch the screen for seven hours. It's pick your interview, and then engage. >> Yeah. >> So it's self-service. So we're seeing a lot, the new user experience kind of direct to consumer, and so I think there will be an, I think there's going to be a digital first class citizen with events, so that that matches up with the kind of experience, but the offline version. Face-to-face optimized for relationships, and that's where the recruiting gets done. That's where, you know, people can build these relationships with each other. >> Yeah, and it can be asynchronous. I think that's a real value proposition. It's a great point. >> Okay, I want to get, I want to get into the technology side of the education and re-skilling and those things. I remember in the 80s, computer science was software engineering. You learned like nine languages. You took some double E courses, one or two, and all the other kind of gut classes in school. Engineering, you had the four class disciplines and some offshoots of specialization. Now it's incredible the diversity of tracks in all engineering programs and computer science and outside of those departments. >> Yeah. >> Can you speak to the importance of STEM and the diversity in the technology industry and how this brings opportunity to lower the bar to get in and how people can stay in and grow and keep leveling up? >> Yeah, well look, we're constantly working on how to, how to help the incoming funnel. But then, you know, at a university level, I'm on the foundation board of Kansas State where I got my engineering degree. I was also Chairman of the National Action Council for Minorities in Engineering, which was all about diversity in STEM and how do you keep that pipeline going because honestly the US needs more tech resources than we have. And if you don't tap into the diversity of our entire workforce, we won't be able to fill that need. And so we focused a lot on both the funnel, right, that starts at the middle school level, particularly for girls, getting them in, you know, the situation of hands-on comfort level with coding, with robot building, you know, whatever gives them that confidence. And then keeping that going all the way into, you know, university program, and making sure that they don't attrit out, right? And so there's a number of initiatives, whether it's mentoring and support groups and financial aid to make sure that underrepresented minorities, women and other minorities, you know, get through the funnel and stay, you know, stay in. >> Got it. Now let me ask you, you said, I have two daughters. You have a family of girls too. Is there a vibe difference between the new generation and what's the trends that you're seeing in this next early wave? I mean, not maybe, I don't know how this is in middle school, but like as people start getting into their adult lives, college and beyond what's the current point of view, posture, makeup of the talent coming in? >> Yeah, yeah. >> Certain orientations, do you see any patterns? What's your observation? >> Yeah, it's interesting. So if I look at electrical engineering, my major, it's, and if I look at Kansas State, which spends a lot of time on this, and I think does a great job, but the diversity of that as a major has not changed dramatically since I was there in the early 80s. Where it has changed very significantly is computer science. There are many, many university and college programs around the country where, you know, it's 50/50 in computer science from a gender mix perspective, which is huge progress. Huge progress. And so, and to me that's, you know, I think CS is a fantastic degree for tech, regardless of what function you actually end up doing in these companies. I mean, I was an electrical engineer. I never did core electrical engineering work. I went right into sales and marketing and general management roles. So I think, I think a bunch of, you know, diverse CS graduates is a really, really good sign. And you know, we need to continue to push on that, but progress has been made. I think the, you know, it kind of goes back to the thing we were just talking about, which is the attrition of those, let's just talk about women, right? The attrition of those women once they got past early career and into mid-career then was a concern, right? And that goes back to, you know, just the inability to, you know, get it all done. And that I am hopeful is going to be better served now. >> Well, Sue, it's great to have you on. I know you're super busy. I appreciate you taking the time and contributing to our program on corporate board membership and some of your story and observations and opinions and analysis. Always great to have you and call you a contributor for theCUBE. You can jump on on one more board, be one of our board contributors for our analysts. (Sue laughing) >> I'm at capacity. (both laughing) >> Final, final word. What's the big seat at the table issue that's going well and areas that need to be improved? >> So I'll speak for my boards because they have made great progress in efficiency. You know, obviously with interest rates going up and the mix between growth and profitability changing in terms of what investors are looking for. Many, many companies have had to do a hard pivot from grow at all costs to healthy balance of growth and profit. And I'm very pleased with how my companies have made that pivot. And I think that is going to make much better companies as a result. I think diversity is something that has not been solved at the corporate level, and we need to keep working it. >> Awesome. Thank you for coming on theCUBE. CUBE alumni now contributor, on multiple boards, full-time job. Love the new challenge and chapter you're on, Sue. We'll be following, and we'll check in for more updates. And thank you for being a contributor on this program this year and this episode. We're going to be doing more of these quarterly, so we're going to move beyond once a year. >> That's great. (cross talking) It's always good to see you, John. >> Thank you. >> Thanks very much. >> Okay. >> Sue: Talk to you later. >> This is theCUBE coverage of IWD, International Women's Day 2023. I'm John Furrier, your host. Thanks for watching. (upbeat music)

Published Date : Mar 3 2023

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Thank you for coming on. of my CUBE alumni title. We're psyched to have you on. And then, you know, four years ago and then what inspired you And those range from, you know, I mean, what is it like? I think this is why you come to tech, You feel good about where you're at and. that kind of gave you some directors, you know, in the US I know there's one board, you and you feel, you know, It's doing whatever you want to But the, you know, the right now with, as you know, but I want to ask you about of the union if you will, Cause you left one and but they're on a few. Well, and you know, Yeah, I would get on a executive you can do, Okay, I got to ask you about your career. have to say, you know, not just one or the other. Well, I got to ask you about the, So I think this brings and made that, you know, made that They're in the zoom call. that like, you know, the house is clean, I also love the office, and you know, around, you know, and the numbers aren't that And the numbers are actually But you know, also on that you had to go to, So, you know, got to meet a customer. that day, so, you know, is that the productivity of digital, That's where, you know, people Yeah, and it can be asynchronous. and all the other kind all the way into, you know, and what's the trends that you're seeing And so, and to me that's, you know, Well, Sue, it's great to have you on. I'm at capacity. that need to be improved? And I think that is going to And thank you for being a It's always good to see you, John. I'm John Furrier, your host.

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Supercloud Applications & Developer Impact | Supercloud2


 

(gentle music) >> Okay, welcome back to Supercloud 2, live here in Palo Alto, California for our live stage performance. Supercloud 2 is our second Supercloud event. We're going to get these out as fast as we can every couple months. It's our second one, you'll see two and three this year. I'm John Furrier, my co-host, Dave Vellante. A panel here to break down the Supercloud momentum, the wave, and the developer impact that we bringing back Vittorio Viarengo, who's a VP for Cross-Cloud Services at VMware. Sarbjeet Johal, industry influencer and Analyst at StackPayne, his company, Cube alumni and Influencer. Sarbjeet, great to see you. Vittorio, thanks for coming back. >> Nice to be here. >> My pleasure. >> Vittorio, you just gave a keynote where we unpacked the cross-cloud services, what VMware is doing, how you guys see it, not just from VMware's perspective, but VMware looking out broadly at the industry and developers came up and you were like, "Developers, developer, developers", kind of a goof on the Steve Ballmer famous meme that everyone's seen. This is a huge star, sorry, I mean a big piece of it. The developers are the canary in the coal mines. They're the ones who are being asked to code the digital transformation, which is fully business transformation and with the market the way it is right now in terms of the accelerated technology, every enterprise grade business model's changing. The technology is evolving, the builders are kind of, they want go faster. I'm saying they're stuck in a way, but that's my opinion, but there's a lot of growth. >> Yeah. >> The impact, they got to get released up and let it go. Those developers need to accelerate faster. It's been a big part of productivity, and the conversations we've had. So developer impact is huge in Supercloud. What's your, what do you guys think about this? We'll start with you, Sarbjeet. >> Yeah, actually, developers are the masons of the digital empires I call 'em, right? They lay every brick and build all these big empires. On the left side of the SDLC, or the, you know, when you look at the system operations, developer is number one cost from economic side of things, and from technology side of things, they are tech hungry people. They are developers for that reason because developer nights are long, hours are long, they forget about when to eat, you know, like, I've been a developer, I still code. So you want to keep them happy, you want to hug your developers. We always say that, right? Vittorio said that right earlier. The key is to, in this context, in the Supercloud context, is that developers don't mind mucking around with platforms or APIs or new languages, but they hate the infrastructure part. That's a fact. They don't want to muck around with servers. It's friction for them, it is like they don't want to muck around even with the VMs. So they want the programmability to the nth degree. They want to automate everything, so that's how they think and cloud is the programmable infrastructure, industrialization of infrastructure in many ways. So they are happy with where we are going, and we need more abstraction layers for some developers. By the way, I have this sort of thinking frame for last year or so, not all developers are same, right? So if you are a developer at an ISV, you behave differently. If you are a developer at a typical enterprise, you behave differently or you are forced to behave differently because you're not writing software.- >> Well, developers, developers have changed, I mean, Vittorio, you and I were talking earlier on the keynote, and this is kind of the key point is what is a developer these days? If everything is software enabled, I mean, even hardware interviews we do with Nvidia, and Amazon and other people building silicon, they all say the same thing, "It's software on a chip." So you're seeing the role of software up and down the stack and the role of the stack is changing. The old days of full stack developer, what does that even mean? I mean, the cloud is a half a stack kind of right there. So, you know, developers are certainly more agile, but cloud native, I mean VMware is epitome of operations, IT operations, and the Tan Zoo initiative, you guys started, you went after the developers to look at them, and ask them questions, "What do you need?", "How do you transform the Ops from virtualization?" Again, back to your point, so this hardware abstraction, what is software, what is cloud native? It's kind of messy equation these days. How do you guys grokel with that? >> I would argue that developers don't want the Supercloud. I dropped that up there, so, >> Dave: Why not? >> Because developers, they, once they get comfortable in AWS or Google, because they're doing some AI stuff, which is, you know, very trendy right now, or they are in IBM, any of the IPA scaler, professional developers, system developers, they love that stuff, right? Yeah, they don't, the infrastructure gets in the way, but they're just, the problem is, and I think the Supercloud should be driven by the operators because as we discussed, the operators have been left behind because they're busy with day-to-day jobs, and in most cases IT is centralized, developers are in the business units. >> John: Yeah. >> Right? So they get the mandate from the top, say, "Our bank, they're competing against". They gave teenagers or like young people the ability to do all these new things online, and Venmo and all this integration, where are we? "Oh yeah, we can do it", and then build it, and then deploy it, "Okay, we caught up." but now the operators are back in the private cloud trying to keep the backend system running and so I think the Supercloud is needed for the primarily, initially, for the operators to get in front of the developers, fit in the workflow, but lay the foundation so it is secure.- >> So, so I love this thinking because I love the rift, because the rift points to what is the target audience for the value proposition and if you're a developer, Supercloud enables you so you shouldn't have to deal with Supercloud. >> Exactly. >> What you're saying is get the operating environment or operating system done properly, whether it's architecture, building the platform, this comes back to architecture platform conversations. What is the future platform? Is it a vendor supplied or is it customer created platform? >> Dave: So developers want best to breed, is what you just said. >> Vittorio: Yeah. >> Right and operators, they, 'cause developers don't want to deal with governance, they don't want to deal with security, >> No. >> They don't want to deal with spinning up infrastructure. That's the role of the operator, but that's where Supercloud enables, to John's point, the developer, so to your question, is it a platform where the platform vendor is responsible for the architecture, or there is it an architectural standard that spans multiple clouds that has to emerge? Based on what you just presented earlier, Vittorio, you are the determinant of the architecture. It's got to be open, but you guys determine that, whereas the nirvana is, "Oh no, it's all open, and it just kind of works." >> Yeah, so first of all, let's all level set on one thing. You cannot tell developers what to do. >> Dave: Right, great >> At least great developers, right? Cannot tell them what to do. >> Dave: So that's what, that's the way I want to sort of, >> You can tell 'em what's possible. >> There's a bottle on that >> If you tell 'em what's possible, they'll test it, they'll look at it, but if you try to jam it down their throat, >> Yeah. >> Dave: You can't tell 'em how to do it, just like your point >> Let me answer your answer the question. >> Yeah, yeah. >> So I think we need to build an architect, help them build an architecture, but it cannot be proprietary, has to be built on what works in the cloud and so what works in the cloud today is Kubernetes, is you know, number of different open source project that you need to enable and then provide, use this, but when I first got exposed to Kubernetes, I said, "Hallelujah!" We had a runtime that works the same everywhere only to realize there are 12 different distributions. So that's where we come in, right? And other vendors come in to say, "Hey, no, we can make them all look the same. So you still use Kubernetes, but we give you a place to build, to set those operation policy once so that you don't create friction for the developers because that's the last thing you want to do." >> Yeah, actually, coming back to the same point, not all developers are same, right? So if you're ISV developer, you want to go to the lowest sort of level of the infrastructure and you want to shave off the milliseconds from to get that performance, right? If you're working at AWS, you are doing that. If you're working at scale at Facebook, you're doing that. At Twitter, you're doing that, but when you go to DMV and Kansas City, you're not doing that, right? So your developers are different in nature. They are given certain parameters to work with, certain sort of constraints on the budget side. They are educated at a different level as well. Like they don't go to that end of the degree of sort of automation, if you will. So you cannot have the broad stroking of developers. We are talking about a citizen developer these days. That's a extreme low, >> You mean Low-Code. >> Yeah, Low-Code, No-code, yeah, on the extreme side. On one side, that's citizen developers. On the left side is the professional developers, when you say developers, your mind goes to the professional developers, like the hardcore developers, they love the flexibility, you know, >> John: Well app, developers too, I mean. >> App developers, yeah. >> You're right a lot of, >> Sarbjeet: Infrastructure platform developers, app developers, yes. >> But there are a lot of customers, its a spectrum, you're saying. >> Yes, it's a spectrum >> There's a lot of customers don't want deal with that muck. >> Yeah. >> You know, like you said, AWS, Twitter, the sophisticated developers do, but there's a whole suite of developers out there >> Yeah >> That just want tools that are abstracted. >> Within a company, within a company. Like how I see the Supercloud is there shouldn't be anything which blocks the developers, like their view of the world, of the future. Like if you're blocked as a developer, like something comes in front of you, you are not developer anymore, believe me, (John laughing) so you'll go somewhere else >> John: First of all, I'm, >> You'll leave the company by the way. >> Dave: Yeah, you got to quit >> Yeah, you will quit, you will go where the action is, where there's no sort of blockage there. So like if you put in front of them like a huge amount of a distraction, they don't like it, so they don't, >> Well, the idea of a developer, >> Coming back to that >> Let's get into 'cause you mentioned platform. Get year in the term platform engineering now. >> Yeah. >> Platform developer. You know, I remember back in, and I think there's still a term used today, but when I graduated my computer science degree, we were called "Software engineers," right? Do people use that term "Software engineering", or is it "Software development", or they the same, are they different? >> Well, >> I think there's a, >> So, who's engineering what? Are they engineering or are they developing? Or both? Well, I think it the, you made a great point. There is a factor of, I had the, I was blessed to work with Adam Bosworth, that is the guy that created some of the abstraction layer, like Visual Basic and Microsoft Access and he had so, he made his whole career thinking about this layer, and he always talk about the professional developers, the developers that, you know, give him a user manual, maybe just go at the APIs, he'll build anything, right, from system engine, go down there, and then through obstruction, you get the more the procedural logic type of engineers, the people that used to be able to write procedural logic and visual basic and so on and so forth. I think those developers right now are a little cut out of the picture. There's some No-code, Low-Code environment that are maybe gain some traction, I caught up with Adam Bosworth two weeks ago in New York and I asked him "What's happening to this higher level developers?" and you know what he is told me, and he is always a little bit out there, so I'm going to use his thought process here. He says, "ChapGPT", I mean, they will get to a point where this high level procedural logic will be written by, >> John: Computers. >> Computers, and so we may not need as many at the high level, but we still need the engineers down there. The point is the operation needs to get in front of them >> But, wait, wait, you seen the ChatGPT meme, I dunno if it's a Dilbert thing where it's like, "Time to tic" >> Yeah, yeah, yeah, I did that >> "Time to develop the code >> Five minutes, time to decode", you know, to debug the codes like five hours. So you know, the whole equation >> Well, this ChatGPT is a hot wave, everyone's been talking about it because I think it illustrates something that's NextGen, feels NextGen, and it's just getting started so it's going to get better. I mean people are throwing stones at it, but I think it's amazing. It's the equivalent of me seeing the browser for the first time, you know, like, "Wow, this is really compelling." This is game-changing, it's not just keyword chat bots. It's like this is real, this is next level, and I think the Supercloud wave that people are getting behind points to that and I think the question of Ops and Dev comes up because I think if you limit the infrastructure opportunity for a developer, I think they're going to be handicapped. I mean that's a general, my opinion, the thesis is you give more aperture to developers, more choice, more capabilities, more good things could happen, policy, and that's why you're seeing the convergence of networking people, virtualization talent, operational talent, get into the conversation because I think it's an infrastructure engineering opportunity. I think this is a seminal moment in a new stack that's emerging from an infrastructure, software virtualization, low-code, no-code layer that will be completely programmable by things like the next Chat GPT or something different, but yet still the mechanics and the plumbing will still need engineering. >> Sarbjeet: Oh yeah. >> So there's still going to be more stuff coming on. >> Yeah, we have, with the cloud, we have made the infrastructure programmable and you give the programmability to the programmer, they will be very creative with that and so we are being very creative with our infrastructure now and on top of that, we are being very creative with the silicone now, right? So we talk about that. That's part of it, by the way. So you write the code to the particle's silicone now, and on the flip side, the silicone is built for certain use cases for AI Inference and all that. >> You saw this at CES? >> Yeah, I saw at CES, the scenario is this, the Bosch, I spoke to Bosch, I spoke to John Deere, I spoke to AWS guys, >> Yeah. >> They were showcasing their technology there and I was spoke to Azure guys as well. So the Bosch is a good example. So they are building, they are right now using AWS. I have that interview on camera, I will put it some sometime later on there online. So they're using AWS on the back end now, but Bosch is the number one, number one or number two depending on what day it is of the year, supplier of the componentry to the auto industry, and they are creating a platform for our auto industry, so is Qualcomm actually by the way, with the Snapdragon. So they told me that customers, their customers, BMW, Audi, all the manufacturers, they demand the diversity of the backend. Like they don't want all, they, all of them don't want to go to AWS. So they want the choice on the backend. So whatever they cook in the middle has to work, they have to sprinkle the data for the data sovereign side because they have Chinese car makers as well, and for, you know, for other reasons, competitive reasons and like use. >> People don't go to, aw, people don't go to AWS either for political reasons or like competitive reasons or specific use cases, but for the most part, generally, I haven't met anyone who hasn't gone first choice with either, but that's me personally. >> No, but they're building. >> Point is the developer wants choice at the back end is what I'm hearing, but then finish that thought. >> Their developers want the choice, they want the choice on the back end, number one, because the customers are asking for, in this case, the customers are asking for it, right? But the customers requirements actually drive, their economics drives that decision making, right? So in the middle they have to, they're forced to cook up some solution which is vendor neutral on the backend or multicloud in nature. So >> Yeah, >> Every >> I mean I think that's nirvana. I don't think, I personally don't see that happening right now. I mean, I don't see the parody with clouds. So I think that's a challenge. I mean, >> Yeah, true. >> I mean the fact of the matter is if the development teams get fragmented, we had this chat with Kit Colbert last time, I think he's going to come on and I think he's going to talk about his keynote in a few, in an hour or so, development teams is this, the cloud is heterogenous, which is great. It's complex, which is challenging. You need skilled engineering to manage these clouds. So if you're a CIO and you go all in on AWS, it's hard. Then to then go out and say, "I want to be completely multi-vendor neutral" that's a tall order on many levels and this is the multicloud challenge, right? So, the question is, what's the strategy for me, the CIO or CISO, what do I do? I mean, to me, I would go all in on one and start getting hedges and start playing and then look at some >> Crystal clear. Crystal clear to me. >> Go ahead. >> If you're a CIO today, you have to build a platform engineering team, no question. 'Cause if we agree that we cannot tell the great developers what to do, we have to create a platform engineering team that using pieces of the Supercloud can build, and let's make this very pragmatic and give examples. First you need to be able to lay down the run time, okay? So you need a way to deploy multiple different Kubernetes environment in depending on the cloud. Okay, now we got that. The second part >> That's like table stakes. >> That are table stake, right? But now what is the advantage of having a Supercloud service to do that is that now you can put a policy in one place and it gets distributed everywhere consistently. So for example, you want to say, "If anybody in this organization across all these different buildings, all these developers don't even know, build a PCI compliant microservice, They can only talk to PCI compliant microservice." Now, I sleep tight. The developers still do that. Of course they're going to get their hands slapped if they don't encrypt some messages and say, "Oh, that should have been encrypted." So number one. The second thing I want to be able to say, "This service that this developer built over there better satisfy this SLA." So if the SLA is not satisfied, boom, I automatically spin up multiple instances to certify the SLA. Developers unencumbered, they don't even know. So this for me is like, CIO build a platform engineering team using one of the many Supercloud services that allow you to do that and lay down. >> And part of that is that the vendor behavior is such, 'cause the incentive is that they don't necessarily always work together. (John chuckling) I'll give you an example, we're going to hear today from Western Union. They're AWS shop, but they want to go to Google, they want to use some of Google's AI tools 'cause they're good and maybe they're even arguably better, but they're also a Snowflake customer and what you'll hear from them is Amazon and Snowflake are working together so that SageMaker can be integrated with Snowflake but Google said, "No, you want to use our AI tools, you got to use BigQuery." >> Yeah. >> Okay. So they say, "Ah, forget it." So if you have a platform engineering team, you can maybe solve some of that vendor friction and get competitive advantage. >> I think that the future proximity concept that I talk about is like, when you're doing one thing, you want to do another thing. Where do you go to get that thing, right? So that is very important. Like your question, John, is that your point is that AWS is ahead of the pack, which is true, right? They have the >> breadth of >> Infrastructure by a lot >> infrastructure service, right? They breadth of services, right? So, how do you, When do you bring in other cloud providers, right? So I believe that you should standardize on one cloud provider, like that's your primary, and for others, bring them in on as needed basis, in the subsection or sub portfolio of your applications or your platforms, what ever you can. >> So yeah, the Google AI example >> Yeah, I mean, >> Or the Microsoft collaboration software example. I mean there's always or the M and A. >> Yeah, but- >> You're going to get to run Windows, you can run Windows on Amazon, so. >> By the way, Supercloud doesn't mean that you cannot do that. So the perfect example is say that you're using Azure because you have a SQL server intensive workload. >> Yep >> And you're using Google for ML, great. If you are using some differentiated feature of this cloud, you'll have to go somewhere and configure this widget, but what you can abstract with the Supercloud is the lifecycle manage of the service that runs on top, right? So how does the service get deployed, right? How do you monitor performance? How do you lifecycle it? How you secure it that you can abstract and that's the value and eventually value will win. So the customers will find what is the values, obstructing in making it uniform or going deeper? >> How about identity? Like take identity for instance, you know, that's an opportunity to abstract. Whether I use Microsoft Identity or Okta, and I can abstract that. >> Yeah, and then we have APIs and standards that we can use so eventually I think where there is enough pain, the right open source will emerge to solve that problem. >> Dave: Yeah, I can use abstract things like object store, right? That's pretty simple. >> But back to the engineering question though, is that developers, developers, developers, one thing about developers psychology is if something's not right, they say, "Go get fixing. I'm not touching it until you fix it." They're very sticky about, if something's not working, they're not going to do it again, right? So you got to get it right for developers. I mean, they'll maybe tolerate something new, but is the "juice worth the squeeze" as they say, right? So you can't go to direct say, "Hey, it's, what's a work in progress? We're going to get our infrastructure together and the world's going to be great for you, but just hang tight." They're going to be like, "Get your shit together then talk to me." So I think that to me is the question. It's an Ops question, but where's that value for the developer in Supercloud where the capabilities are there, there's less friction, it's simpler, it solves the complexity problem. I don't need these high skilled labor to manage Amazon. I got services exposed. >> That's what we talked about earlier. It's like the Walmart example. They basically, they took away from the developer the need to spin up infrastructure and worry about all the governance. I mean, it's not completely there yet. So the developer could focus on what he or she wanted to do. >> But there's a big, like in our industry, there's a big sort of flaw or the contention between developers and operators. Developers want to be on the cutting edge, right? And operators want to be on the stability, you know, like we want governance. >> Yeah, totally. >> Right, so they want to control, developers are like these little bratty kids, right? And they want Legos, like they want toys, right? Some of them want toys by way. They want Legos, they want to build there and they want make a mess out of it. So you got to make sure. My number one advice in this context is that do it up your application portfolio and, or your platform portfolio if you are an ISV, right? So if you are ISV you most probably, you're building a platform these days, do it up in a way that you can say this portion of our applications and our platform will adhere to what you are saying, standardization, you know, like Kubernetes, like slam dunk, you know, it works across clouds and in your data center hybrid, you know, whole nine yards, but there is some subset on the next door systems of innovation. Everybody has, it doesn't matter if you're DMV of Kansas or you are, you know, metaverse, right? Or Meta company, right, which is Facebook, they have it, they are building something new. For that, give them some freedom to choose different things like play with non-standard things. So that is the mantra for moving forward, for any enterprise. >> Do you think developers are happy with the infrastructure now or are they wanting people to get their act together? I mean, what's your reaction, or you think. >> Developers are happy as long as they can do their stuff, which is running code. They want to write code and innovate. So to me, when Ballmer said, "Developer, develop, Developer, what he meant was, all you other people get your act together so these developers can do their thing, and to me the Supercloud is the way for IT to get there and let developer be creative and go fast. Why not, without getting in trouble. >> Okay, let's wrap up this segment with a super clip. Okay, we're going to do a sound bite that we're going to make into a short video for each of you >> All right >> On you guys summarizing why Supercloud's important, why this next wave is relevant for the practitioners, for the industry and we'll turn this into an Instagram reel, YouTube short. So we'll call it a "Super clip. >> Alright, >> Sarbjeet, you want, you want some time to think about it? You want to go first? Vittorio, you want. >> I just didn't mind. (all laughing) >> No, okay, okay. >> I'll do it again. >> Go back. No, we got a fresh one. We'll going to already got that one in the can. >> I'll go. >> Sarbjeet, you go first. >> I'll go >> What's your super clip? >> In software systems, abstraction is your friend. I always say that. Abstraction is your friend, even if you're super professional developer, abstraction is your friend. We saw from the MFC library from C++ days till today. Abstract, use abstraction. Do not try to reinvent what's already being invented. Leverage cloud, leverage the platform side of the cloud. Not just infrastructure service, but platform as a service side of the cloud as well, and Supercloud is a meta platform built on top of these infrastructure services from three or four or five cloud providers. So use that and embrace the programmability, embrace the abstraction layer. That's the key actually, and developers who are true developers or professional developers as you said, they know that. >> Awesome. Great super clip. Vittorio, another shot at the plate here for super clip. Go. >> Multicloud is awesome. There's a reason why multicloud happened, is because gave our developers the ability to innovate fast and ever before. So if you are embarking on a digital transformation journey, which I call a survival journey, if you're not innovating and transforming, you're not going to be around in business three, five years from now. You have to adopt the Supercloud so the developer can be developer and keep building great, innovating digital experiences for your customers and IT can get in front of it and not get in trouble together. >> Building those super apps with Supercloud. That was a great super clip. Vittorio, thank you for sharing. >> Thanks guys. >> Sarbjeet, thanks for coming on talking about the developer impact Supercloud 2. On our next segment, coming up right now, we're going to hear from Walmart enterprise architect, how they are building and they are continuing to innovate, to build their own Supercloud. Really informative, instructive from a practitioner doing it in real time. Be right back with Walmart here in Palo Alto. Thanks for watching. (gentle music)

Published Date : Feb 17 2023

SUMMARY :

the Supercloud momentum, and developers came up and you were like, and the conversations we've had. and cloud is the and the role of the stack is changing. I dropped that up there, so, developers are in the business units. the ability to do all because the rift points to What is the future platform? is what you just said. the developer, so to your question, You cannot tell developers what to do. Cannot tell them what to do. You can tell 'em your answer the question. but we give you a place to build, and you want to shave off the milliseconds they love the flexibility, you know, platform developers, you're saying. don't want deal with that muck. that are abstracted. Like how I see the Supercloud is So like if you put in front of them you mentioned platform. and I think there's the developers that, you The point is the operation to decode", you know, the browser for the first time, you know, going to be more stuff coming on. and on the flip side, the middle has to work, but for the most part, generally, Point is the developer So in the middle they have to, the parody with clouds. I mean the fact of the matter Crystal clear to me. in depending on the cloud. So if the SLA is not satisfied, boom, 'cause the incentive is that So if you have a platform AWS is ahead of the pack, So I believe that you should standardize or the M and A. you can run Windows on Amazon, so. So the perfect example is abstract and that's the value Like take identity for instance, you know, the right open source will Dave: Yeah, I can use abstract things and the world's going to be great for you, the need to spin up infrastructure on the stability, you know, So that is the mantra for moving forward, Do you think developers are happy and to me the Supercloud is for each of you for the industry you want some time to think about it? I just didn't mind. got that one in the can. platform side of the cloud. Vittorio, another shot at the the ability to innovate thank you for sharing. the developer impact Supercloud 2.

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Eric Herzog, Infinidat | CUBEconversations


 

(upbeat music) >> Despite its 70 to $80 billion total available market, computer storage is like a small town, everybody knows everybody else. We say in the storage world, there are a hundred people, and 99 seats. Infinidat is a company that was founded in 2011 by storage legend, Moshe Yanai. The company is known for building products with rock solid availability, simplicity, and a passion for white glove service, and client satisfaction. Company went through a leadership change recently, in early this year, appointed industry vet, Phil Bullinger, as CEO. It's making more moves, bringing on longtime storage sales exec, Richard Bradbury, to run EMEA, and APJ Go-To-Market. And just recently appointed marketing maven, Eric Hertzog to be CMO. Hertzog has worked at numerous companies, ranging from startups that were acquired, two stints at IBM, and is SVP of product marketing and management at Storage Powerhouse, EMC, among others. Hertzog has been named CMO of the year as an OnCon Icon, and top 100 influencer in big data, AI, and also hybrid cloud, along with yours truly, if I may say so. Joining me today, is the newly minted CMO of Infinidat, Mr.Eric Hertzog. Good to see you, Eric, thanks for coming on. >> Dave, thank you very much. You know, we love being on theCUBE, and I am of course sporting my Infinidat logo wear already, even though I've only been on the job for two weeks. >> Dude, no Hawaiian shirt, okay. That's a pretty buttoned up company. >> Well, next time, I'll have a Hawaiian shirt, don't worry. >> Okay, so give us the backstory, how did this all come about? you know Phil, my 99 seat joke, but, how did it come about? Tell us that story. >> So, I have known Phil since the late 90s, when he was a VP at LSA of Engineering, and he had... I was working at a company called Milax, which was acquired by IBM. And we were doing a product for HP, and he was providing the subsystem, and we were providing the fiber to fiber, and fiber to SCSI array controllers back in the day. So I met him then, we kept in touch for years. And then when I was a senior VP at EMC, he started originally as VP of engineering for the EMC Isilon team. And then he became the general manager. So, while I didn't work for him, I worked with him, A, at LSA, and then again at EMC. So I just happened to congratulate him about some award he won, and he said "Hey Herzog, "we should talk, I have a CMO opening". So literally happened over LinkedIn discussion, where I reached out to him, and congratulate him, he said "Hey, I need a CMO, let's talk". So, the whole thing took about three weeks in all honesty. And that included interviewing with other members of his exec staff. >> That's awesome, that's right, he was running the Isilon division for awhile at the EMC. >> Right. >> You guys were there, and of course, you talk about Milax, LSA, there was a period of time where, you guys were making subsystems for everybody. So, you sort of saw the whole landscape. So, you got some serious storage history and chops. So, I want to ask you what attracted you to Infinidat. I mean, obviously they're a leader in the magic quadrant. We know about InfiniBox, and the petabyte scale, and the low latency, what are the... When you look at the market, you obviously you see it, you talk to everybody. What were the trends that were driving your decision to join Infinidat? >> Well, a couple of things. First of all, as you know, and you guys have talked about it on theCUBE, most CIOs don't know anything about storage, other than they know a guy got to spend money on it. So the Infinidat message of optimizing applications, workloads, and use cases with 100% guaranteed availability, unmatched reliability, the set and forget ease of use, which obviously AIOps is driving that, and overall IT operations management was very attractive. And then on top of that, the reality is, when you do that consolidation, which Infinidat can do, because of the performance that it has, you can dramatically free up rack, stack, power, floor, and operational manpower by literally getting rid of, tons and tons of arrays. There's one customer that they have, you actually... I found out when I got here, they took out a hundred arrays from EMC Hitachi. And that company now has 20 InfiniBoxes, and InfiniBox SSAs running the exact same workloads that used to be, well over a hundred subsystems from the other players. So, that's got a performance angle, a CapEx and OPEX angle, and then even a clean energy angle because reducing Watson slots. So, lots of different advantages there. And then I think from just a pure marketing perspective, as someone has said, they're the best kept secret to the storage industry. And so you need to, if you will, amp up the message, get it out. They've expanded the portfolio with the InfiniBox SSA, the InfiniGuard product, which is really optimized, not only as the PBA for backup perspective, and it works with all the backup vendors, but also, has an incredible play on data and cyber resilience with their capability of local logical air gapping, remote logical air gapping, and creating a clean room, if you will, a vault, so that you can then recover their review for malware ransomware before you do a full recovery. So it's got the right solutions, just that most people didn't know who they were. So, between the relationship with Phil, and the real opportunity that this company could skyrocket. In fact, we have 35 job openings right now, right now. >> Wow, okay, so yeah, I think it was Duplessy called them the best kept secret, he's not the only one. And so that brings us to you, and your mission because it's true, it is the best kept secret. You're a leader in the Gartner magic quadrant, but I mean, if you're not a leader in a Gartner magic quadrant, you're kind of nobody in storage. And so, but you got chops and block storage. You talked about the consolidation story, and I've talked to many folks in Infinidat about that. Ken Steinhardt rest his soul, Dr. Rico, good business friend, about, you know... So, that play and how you handle the whole blast radius. And that's always a great discussion, and Infinidat has proven that it can operate at very very high performance, low latency, petabyte scale. So how do you get the word out? What's your mission? >> Well, so we're going to do a couple of things. We're going to be very, very tied to the channel as you know, EMC, Dell EMC, and these are articles that have been in CRN, and other channel publications is pulling back from the channel, letting go of channel managers, and there's been a lot of conflict. So, we're going to embrace the channel. We already do well over 90% of our business within general globally. So, we're doing that. In fact, I am meeting, personally, next week with five different CEOs of channel partners. Of which, only one of them is doing business with Infinidat now. So, we want to expand our channel, and leverage the channel, take advantage of these changes in the channel. We are going to be increasing our presence in the public relations area. The work we do with all the industry analysts, not just in North America, but in Europe as well, and Asia. We're going to amp up, of course, our social media effort, both of us, of course, having been named some of the best social media guys in the world the last couple of years. So, we're going to open that up. And then, obviously, increase our demand generation activities as well. So, we're going to make sure that we leverage what we do, and deliver that message to the world. Deliver it to the partner base, so the partners can take advantage, and make good margin and revenue, but delivering products that really meet the needs of the customers while saving them dramatically on CapEx and OPEX. So, the partner wins, and the end user wins. And that's the best scenario you can do when you're leveraging the channel to help you grow your business. >> So you're not only just the marketing guy, I mean, you know product, you ran product management at very senior levels. So, you could... You're like a walking spec sheet, John Farrier says you could just rattle it off. Already impressed that how much you know about Infinidat, but when you joined EMC, it was almost like, there was too many products, right? When you joined IBM, even though it had a big portfolio, it's like it didn't have enough relevant products. And you had to sort of deal with that. How do you feel about the product portfolio at Infinidat? >> Well, for us, it's right in the perfect niche. Enterprise class, AI based software defined storage technologies that happens run on a hybrid array, an all flash array, has a variant that's really tuned towards modern data protection, including data and cyber resilience. So, with those three elements of the portfolio, which by the way, all have a common architecture. So while there are three different solutions, all common architecture. So if you know how to use the InfiniBox, you can easily use an InfiniGuard. You got an InfiniGuard, you can easily use an InfiniBox SSA. So the capability of doing that, helps reduce operational manpower and hence, of course, OPEX. So the story is strong technically, the story has a strong business tie in. So part of the thing you have to do in marketing these days. Yeah, we both been around. So you could just talk about IOPS, and latency, and bandwidth. And if the people didn't... If the CIO didn't know what that meant, so what? But the world has changed on the expenditure of infrastructure. If you don't have seamless integration with hybrid cloud, virtual environments and containers, which Infinidat can do all that, then you're not relevant from a CIO perspective. And obviously with many workloads moving to the cloud, you've got to have this infrastructure that supports core edge and cloud, the virtualization layer, and of course, the container layer across a hybrid environment. And we can do that with all three of these solutions. Yet, with a common underlying software defined storage architecture. So it makes the technical story very powerful. Then you turn that into business benefit, CapEX, OPEX, the operational manpower, unmatched availability, which is obviously a big deal these days, unmatched performance, everybody wants their SAP workload or their Oracle or Mongo Cassandra to be, instantaneous from the app perspective. Excuse me. And we can do that. And that's the kind of thing that... My job is to translate that from that technical value into the business value, that can be appreciated by the CIO, by the CSO, by the VP of software development, who then says to VP of industry, that Infinidat stuff, we actually need that for our SAP workload, or wow, for our overall corporate cybersecurity strategy, the CSO says, the key element of the storage part of that overall corporate cybersecurity strategy are those Infinidat guys with their great cyber and data resilience. And that's the kind of thing that my job, and my team's job to work on to get the market to understand and appreciate that business value that the underlying technology delivers. >> So the other thing, the interesting thing about Infinidat. This was always a source of spirited discussions over the years with business friends from Infinidat was the company figured out a way, it was formed in 2011, and at the time the strategy perfectly reasonable to say, okay, let's build a better box. And the way they approached that from a cost standpoint was you were able to get the most out of spinning disk. Everybody else was moving to flash, of course, floyers work a big flash, all flash data center, etc, etc. But Infinidat with its memory cache and its architecture, and its algorithms was able to figure out how to magically get equivalent or better performance in an all flash array out of a system that had a lot of spinning disks, which is I think unique. I mean, I know it's unique, very rare anyway. And so that was kind of interesting, but at the time it made sense, to go after a big market with a better mouse trap. Now, if I were starting a company today, I might take a different approach, I might try to build, a storage cloud or something like that. Or if I had a huge install base that I was trying to protect, and maybe go into that. But so what's the strategy? You still got huge share gain potentials for on-prem is that the vector? You mentioned hybrid cloud, what's the cloud strategy? Maybe you could summarize your thoughts on that? >> Sure, so the cloud strategy, is first of all, seamless integration to hybrid cloud environments. For example, we support Outpost as an example. Second thing, you'd be surprised at the number of cloud providers that actually use us as their backend, either for their primary storage, or for their secondary storage. So, we've got some of the largest hyperscalers in the world. For example, one of the Telcos has 150 Infiniboxes, InfiniBox SSAS and InfiniGuards. 150 running one of the largest Telcos on the planet. And a huge percentage of that is their corporate cloud effort where they're going in and saying, don't use Amazon or Azure, why don't you use us the giant Telco? So we've got that angle. We've got a ton of mid-sized cloud providers all over the world that their backup is our servers, or their primary storage that they offer is built on top of Infiniboxes or InfiniBox SSA. So, the cloud strategy is one to arm the hyperscalers, both big, medium, and small with what they need to provide the right end user services with the right outside SLAs. And the second thing is to have that hybrid cloud integration capability. For example, when I talked about InfiniGuard, we can do air gapping locally to give almost instantaneous recovery, but at the same time, if there's an earthquake in California or a tornado in Kansas City, or a tsunami in Singapore, you've got to have that remote air gapping capability, which InfiniGuard can do. Which of course, is essentially that logical air gap remote is basically a cloud strategy. So, we can do all of that. That's why it has a cloud strategy play. And again we have a number of public references in the cloud, US signal and others, where they talk about why they use the InfiniBox, and our technologies to offer their storage cloud services based on our platform. >> Okay, so I got to ask you, so you've mentioned earthquakes, a lot of earthquakes in California, dangerous place to live, US headquarters is in Waltham, we're going to pry you out of the Golden State? >> Let's see, I was born at Stanford hospital where my parents met when they were going there. I've never lived anywhere, but here. And of course, remember when I was working for EMC, I flew out every week, and I sort of lived at that Milford Courtyard Marriott. So I'll be out a lot, but I will not be moving, I'm a Silicon Valley guy, just like that old book, the Silicon Valley Guy from the old days, that's me. >> Yeah, the hotels in Waltham are a little better, but... So, what's your priority? Last question. What's the priority first 100 days? Where's your focus? >> Number one priority is team assessment and integration of the team across the other teams. One of the things I noticed about Infinidat, which is a little unusual, is there sometimes are silos and having done seven other small companies and startups, in a startup or a small company, you usually don't see that silo-ness, So we have to break down those walls. And by the way, we've been incredibly successful, even with the silos, imagine if everybody realized that business is a team sport. And so, we're going to do that, and do heavy levels of integration. We've already started to do an incredible outreach program to the press and to partners. We won a couple awards recently, we're up for two more awards in Europe, the SDC Awards, and one of the channel publications is going to give us an award next week. So yeah, we're amping up that sort of thing that we can leverage and extend. Both in the short term, but also, of course, across a longer term strategy. So, those are the things we're going to do first, and yeah, we're going to be rolling into, of course, 2022. So we've got a lot of work we're doing, as I mentioned, I'm meeting, five partners, CEOs, and only one of them is doing business with us now. So we want to get those partners to kick off January with us presenting at their sales kickoff, going "We are going with Infinidat "as one of our strong storage providers". So, we're doing all that upfront work in the first 100 days, so we can kick off Q1 with a real bang. >> Love the channel story, and you're a good guy to do that. And you mentioned the silos, correct me if I'm wrong, but Infinidat does a lot of business in overseas. A lot of business in Europe, obviously the affinity to the engineering, a lot of the engineering work that's going on in Israel, but that's by its very nature, stovepipe. Most startups start in the US, big market NFL cities, and then sort of go overseas. It's almost like Infinidat sort of simultaneously grew it's overseas business, and it's US business. >> Well, and we've got customers everywhere. We've got them in South Africa, all over Europe, Middle East. We have six very large customers in India, and a number of large customers in Japan. So we have a sales team all over the world. As you mentioned, our white glove service includes not only our field systems engineers, but we have a professional services group. We've actually written custom software for several customers. In fact, I was on the forecast meeting earlier today, and one of the comments that was made for someone who's going to give us a PO. So, the sales guy was saying, part of the reason we're getting the PO is we did some professional services work last quarter, and the CIO called and said, I can't believe it. And what CIO calls up a storage company these days, but the CIO called him and said "I can't believe the work you did. We're going to buy some more stuff this quarter". So that white glove service, our technical account managers to go along with the field sales SEs and this professional service is pretty unusual in a small company to have that level of, as you mentioned yourself, white glove service, when the company is so small. And that's been a real hidden gem for this company, and will continue to be so. >> Well, Eric, congratulations on the appointment, the new role, excited to see what you do, and how you craft the story, the strategy. And we've been following Infinidat since, sort of day zero and I really wish you the best. >> Great, well, thank you very much. Always appreciate theCUBE. And trust me, Dave, next time I will have my famous Hawaiian shirt. >> Ah, I can't wait. All right, thanks to Eric, and thank you for watching everybody. This is Dave Vellante for theCUBE, and we'll see you next time. (bright upbeat music)

Published Date : Nov 4 2021

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Garth Fort, Splunk | Splunk .conf21


 

(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)

Published Date : Oct 20 2021

SUMMARY :

Congratulations on the new role. Great to see you again. Great keynote and great It's a lot of fun. a little bit on the product. But I had the honor to But we were talking before you it's a platform with tools and utilities. I've had the pleasure to meet today about, you know, and That's where the machine learning and the applications get built. the vertical, you know, be, you know, stored and dumped I have to ask you your, your the tea leaves for the future but you don't want to foreclose anything. And we look at that every month, you know, the next three to five years? what I would say is sort of, you know, you know, to use a baseball metaphor, like you know, we've been doing as the data you put into And so if you have, if if in a 10 minute period, like, you know, under the covers, if you will. with cloud scale and the data So you got, the puck is coming. the app edge or the application It's part of the apps. What do you think about all of that? of the bad actor to chase them you will, looking at a trail. that's coming, that's the next I love the most, like that is so unfair. the next year or two? 100 days and it's been great to, you know, And so being able to visit If you could give advice to CTO, CISO, What would advice would you I got to get my playbooks in place. And like the pandemic had Didn't break, the internet didn't break. And the teleconferencing what did you learn over the that's the tell sign to me in people to make money. and you know, So I have to ask you as a final question, this year's Splunk .conf? I mean, you know, It's like a time. So, great to see you. for the Thank you guys.

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Keith Brooks, AWS | AWS Summit DC 2021


 

>>Yeah. Hello and welcome back to the cubes coverage of AWS public sector summit here in Washington D. C. We're live on the ground for two days. Face to face conference and expo hall and everything here but keith brooks who is the director and head of technical business development for a dress government Govcloud selling brains 10th birthday. Congratulations. Welcome to the cube. Thank you john happy to be E. C. 2 15 S three is 9.5 or no, that maybe they're 10 because that's the same day as sqs So Govcloud. 10 years, 20 years. What time >>flies? 10 years? >>Big milestone. Congratulations. A lot of history involved in Govcloud. Yes. Take us through what's the current situation? >>Yeah. So um let's start with what it is just for the viewers that may not be familiar. So AWS Govcloud is isolated. AWS cloud infrastructure and services that were purposely built for our U. S. Government customers that had highly sensitive data or highly regulated data or applications and workloads that they wanted to move to the cloud. So we gave customers the ability to do that with AWS Govcloud. It is subject to the fed ramp I and D O D S R G I L four L five baselines. It gives customers the ability to address ITAR requirements as well as Seaga's N'est ce MMC and Phipps requirements and gives customers a multi region architecture that allows them to also designed for disaster recovery and high availability in terms of why we built it. It starts with our customers. It was pretty clear from the government that they needed a highly secure and highly compliant cloud infrastructure to innovate ahead of demand and that's what we delivered. So back in august of 2011 we launched AWS GovCloud which gave customers the best of breed in terms of high technology, high security, high compliance in the cloud to allow them to innovate for their mission critical workloads. Who >>was some of the early customers when you guys launched after the C. I. A deal intelligence community is a big one but some of the early customers. >>So the Department of Health and Human Services, the Department of Veterans Affairs, the Department of Justice and the Department of Defense were all early users of AWS GovCloud. But one of our earliest lighthouse customers was the Nasa jet propulsion laboratory and Nasa Jpl used AWS GovCloud to procure Procure resources ahead of demand which allowed them to save money and also take advantage of being efficient and only paying for what they needed. But they went beyond just I. T. Operations. They also looked at how do they use the cloud and specifically GovCloud for their mission programs. So if you think back to all the way to 2012 with the mars curiosity rover, Nasa Jpl actually streamed and processed and stored that data from the curiosity rover on AWS Govcloud They actually streamed over 150 terabytes of data responded to over 80,000 requests per second and took it beyond just imagery. They actually did high performance compute and data analytics on the data as well. That led to additional efficiencies for future. Over there >>were entire kicking they were actually >>hard core missing into it. Mission critical workloads that also adhere to itar compliance which is why they used AWS GovCloud. >>All these compliance. So there's also these levels. I remember when I was working on the jetty uh stories that were out there was always like level for those different classifications. What does all that mean like? And then this highly available data and highly high availability all these words mean something in these top secret clouds. Can you take us through kind of meetings >>of those? Yeah absolutely. So it starts with the federal compliance program and the two most popular programs are Fed ramp and Dodi srg fed ramp is more general for federal government agencies. There are three levels low moderate and high in the short and skinny of those levels is how they align to the fisma requirements of the government. So there's fisma low fisma moderate fisma high depending on the sensitivity of the government data you will have to align to those levels of Fed ramp to use workloads and store data in the cloud. Similar story for D. O. D. With srg impact levels to 45 and six uh impacts levels to four and five are all for unclassified data. Level two is for less sensitive public defense data levels. Four and five cover more sensitive defense data to include mission critical national security systems and impact level six is for classified information. So those form the basis of security and compliance, luckily with AWS GovCloud celebrating our 10th anniversary, we address Fed ramp high for our customers that require that and D. O. D impact levels to four and five for a sensitive defense guy. >>And that was a real nuanced point and a lot of the competition can't do that. That's real people don't understand, you know, this company, which is that company and all the lobbying and all the mudslinging that goes on. We've seen that in the industry. It's unfortunate, but it happens. Um, I do want to ask you about the Fed ramp because what I'm seeing on the commercial side in the cloud ecosystem, a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. So there's some good traction there. You guys have done a lot of work to accelerate that. Any new, any new information to share their. >>Yes. So we've been committed to supporting the federal government compliance requirements effectively since the launch of GovCloud. And we've demonstrated our commitment to Fed ramp over the last number of years and GovCloud specifically, we've taken dozens of services through Fed ramp high and we're 100% committed to it because we have great relationships with the Fed ramp, Jabor the joint authorization board. We work with individual government agencies to secure agency A. T. O. S. And in fact we actually have more agency A. T. O. S. With AWS GovCloud than any other cloud provider. And the short and skinny is that represents the baseline for cloud security to address sensitive government workloads and sensitive government data. And what we're seeing from industry and specifically highly regulated industries is the standard that the U. S. Government set means that they have the assurance to run control and classified information or other levels of highly sensitive data on the cloud as well. So Fed ramp set that standard. It's interesting >>that the cloud, this is the ecosystem within an ecosystem again within crossover section. So for instance um the impact of not getting Fed ramp certified is basically money. Right. If you're a supplier vendor uh software developer or whatever used to being a miracle, no one no one would know right bed ramp. I'm gonna have to hire a whole department right now. You guys have a really easy, this is a key value proposition, isn't it? >>Correct. And you see it with a number of I. S. V. S. And software as the service providers. If you visit the federal marketplace website, you'll see dozens of providers that have Fed ramp authorized third party SAAS products running on GovCloud industry leading SAAS companies like Salesforce dot com driven technology Splunk essay PNS to effectively they're bringing their best of breed capabilities, building on top of AWS GovCloud and offering those highly compliant fed ramp, moderate fed ramp high capabilities to customers both in government and private industry that need that level of compliance. >>Just as an aside, I saw they've got a nice tweet from Teresa Carlson now it's plunk Govcloud yesterday. That was a nice little positive gesture uh, for you guys at GovCloud, what other areas are you guys moving the needle on because architecturally this is a big deal. What are some areas that you're moving the needle on for the GovCloud? >>Well, when I look back across the last 10 years, there were some pretty important developments that stand out. The first is us launching the second Govcloud infrastructure region in 2018 And that gave customers that use GovCloud specifically customers that have highly sensitive data and high levels of compliance. The ability to build fault tolerant, highly available and mission critical workloads in the cloud in a region that also gives them an additional three availability zones. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers to regions a total of six availability zones that allowed them accelerate and build more scalable solutions in the cloud. More recently, there is an emergence of another D O D program called the cybersecurity maturity model, C M M C and C M M C is something where we looked around the corner and said we need to Innovate to help our customers, particularly defense customers and the defense industrial based customers address see MMC requirements in the cloud. So with Govcloud back in December of 2020, we actually launched the AWS compliant framework for federal defense workloads, which gives customers a turnkey capability and tooling and resources to spin up environments that are configured to meet see MMC controls and D. O. D. Srg control. So those things represent some of the >>evolution keith. I'm interested also in your thoughts on how you see the progression of Govcloud outside the United States. Tactical Edge get wavelength coming on board. How does how do you guys look at that? Obviously us is global, it's not just the jet, I think it's more of in general. Edge deployments, sovereignty is also going to be world's flat, Right? I mean, so how does that >>work? So it starts back with customer requirements and I tie it back to the first question effectively we built Govcloud to respond to our U. S. Government customers and are highly regulated industry customers that had highly sensitive data and a high bar to meet in terms of regulatory compliance and that's the foundation of it. So as we look to other customers to include those outside of the US. It starts with those requirements. You mentioned things like edge and hybrid and a good example of how we marry the two is when we launched a W. S. Outpost in Govcloud last year. So outpost brings the power of the AWS cloud to on premises environments of our customers, whether it's their data centers or Coehlo environments by bringing AWS services, a. P. I. S and service and points to the customer's on premises facilities >>even outside the United States. >>Well, for Govcloud is focused on us right now. Outside of the U. S. Customers also have availability to use outpost. It's just for us customers, it's focused on outpost availability, geography >>right now us. Right. But other governments gonna want their Govcloud too. Right, Right, that's what you're getting at, >>Right? And it starts with the data. Right? So we we we spent a lot of time working with government agencies across the globe to understand their regulations and their requirements and we use that to drive our decisions. And again, just like we started with govcloud 10 years ago, it starts with our customer requirements and we innovate from there. Well, >>I've been, I love the D. O. D. S vision on this. I know jet I didn't come through and kind of went scuttled, got thrown under the bus or whatever however you want to call it. But that whole idea of a tactical edge, it was pretty brilliant idea. Um so I'm looking forward to seeing more of that. That's where I was supposed to come in, get snowball, snowmobile, little snow snow products as well, how are they doing? And because they're all part of the family to, >>they are and they're available in Govcloud and they're also authorized that fed ramp and Gov srg levels and it's really, it's really fascinating to see D. O. D innovate with the cloud. Right. So you mentioned tactical edge. So whether it's snowball devices or using outposts in the future, I think the D. O. D. And our defense customers are going to continue to innovate. And quite frankly for us, it represents our commitment to the space we want to make sure our defense customers and the defense industrial base defense contractors have access to the best debris capabilities like those edge devices and edge capable. I >>think about the impact of certification, which is good because I just thought of a clean crows. We've got aerospace coming in now you've got D O. D, a little bit of a cross colonization if you will. So nice to have that flexibility. I got to ask you about just how you view just in general, the intelligence community a lot of uptake since the CIA deal with amazon Just overall good health for eight of his gum cloud. >>Absolutely. And again, it starts with our commitment to our customers. We want to make sure that our national security customers are defense customers and all of the customers and the federal government that have a responsibility for securing the country have access to the best of breed capability. So whether it's the intelligence community, the Department of Defense are the federal agencies and quite frankly we see them innovating and driving things forward to include with their sensitive workloads that run in Govcloud, >>what's your strategy for partnerships as you work on the ecosystem? You do a lot with strategy. Go to market partnerships. Um, it's got its public sector pretty much people all know each other. Our new firms popping up new brands. What's the, what's the ecosystem looks like? >>Yeah, it's pretty diverse. So for Govcloud specifically, if you look at partners in the defense community, we work with aerospace companies like Lockheed martin and Raytheon Technologies to help them build I tar compliant E. R. P. Application, software development environments etcetera. We work with software companies I mentioned salesforce dot com. Splunk and S. A. P. And S. To uh and then even at the state and local government level, there's a company called Pay It that actually worked with the state of Kansas to develop the Icann app, which is pretty fascinating. It's a app that is the official app of the state of Kansas that allow citizens to interact with citizens services. That's all through a partner. So we continue to work with our partner uh broad the AWS partner network to bring those type of people >>You got a lot of MST is that are doing good work here. I saw someone out here uh 10 years. Congratulations. What's the coolest thing uh you've done or seen. >>Oh wow, it's hard to name anything in particular. I just think for us it's just seeing the customers and the federal government innovate right? And, and tie that innovation to mission critical workloads that are highly important. Again, it reflects our commitment to give these government customers and the government contractors the best of breed capabilities and some of the innovation we just see coming from the federal government leveraging the count now. It's just super cool. So hard to pinpoint one specific thing. But I love the innovation and it's hard to pick a favorite >>Child that we always say. It's kind of a trick question I do have to ask you about just in general, the just in 10 years. Just look at the agility. Yeah, I mean if you told me 10 years ago the government would be moving at any, any agile anything. They were a glacier in terms of change, right? Procure Man, you name it. It's just like, it's a racket. It's a racket. So, so, but they weren't, they were slow and money now. Pandemic hits this year. Last year, everything's up for grabs. The script has been flipped >>exactly. And you know what, what's interesting is there were actually a few federal government agencies that really paved the way for what you're seeing today. I'll give you some examples. So the Department of Veterans Affairs, they were an early Govcloud user and way back in 2015 they launched vets dot gov on gov cloud, which is an online platform that gave veterans the ability to apply for manage and track their benefits. Those type of initiatives paved the way for what you're seeing today, even as soon as last year with the U. S. Census, right? They brought the decennial count online for the first time in history last year, during 2020 during the pandemic and the Census Bureau was able to use Govcloud to launch and run 2020 census dot gov in the cloud at scale to secure that data. So those are examples of federal agencies that really kind of paved the way and leading to what you're saying is it's kind >>of an awakening. It is and I think one of the things that no one's reporting is kind of a cultural revolution is the talent underneath that way, the younger people like finally like and so it's cooler. It is when you go fast and you can make things change, skeptics turned into naysayers turned into like out of a job or they don't transform so like that whole blocker mentality gets exposed just like shelf where software you don't know what it does until the cloud is not performing, its not good. Right, right. >>Right. Into that point. That's why we spend a lot of time focused on education programs and up skilling the workforce to, because we want to ensure that as our customers mature and as they innovate, we're providing the right training and resources to help them along their journey, >>keith brooks great conversation, great insight and historian to taking us to the early days of Govcloud. Thanks for coming on the cube. Thanks thanks for having me cubes coverage here and address public sector summit. We'll be back with more coverage after this short break. Mhm. Mhm mm.

Published Date : Sep 28 2021

SUMMARY :

in Washington D. C. We're live on the ground for two days. A lot of history involved in Govcloud. breed in terms of high technology, high security, high compliance in the cloud to allow them but some of the early customers. So the Department of Health and Human Services, the Department of Veterans Affairs, itar compliance which is why they used AWS GovCloud. So there's also these levels. So it starts with the federal compliance program and the two most popular programs are a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. And the short and skinny is that represents the baseline for cloud security to address sensitive that the cloud, this is the ecosystem within an ecosystem again within crossover section. dot com driven technology Splunk essay PNS to effectively they're bringing what other areas are you guys moving the needle on because architecturally this is a big deal. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers outside the United States. So outpost brings the power of the AWS cloud to on premises Outside of the U. Right, Right, that's what you're getting at, to understand their regulations and their requirements and we use that to drive our decisions. I've been, I love the D. O. D. S vision on this. and the defense industrial base defense contractors have access to the best debris capabilities like those I got to ask you about just how you view just in general, securing the country have access to the best of breed capability. Go to market partnerships. It's a app that is the official app of the state of Kansas that What's the coolest thing uh you've done or seen. But I love the innovation and it's hard to pick a favorite ago the government would be moving at any, any agile anything. census dot gov in the cloud at scale to secure that data. the cloud is not performing, its not good. the workforce to, because we want to ensure that as our customers mature and as they innovate, Thanks for coming on the cube.

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Shannon Champion, Dell Technologies | VMworld 2020


 

>>from around the globe. It's the Cube with digital coverage of VM World 2020 brought to you by VM Ware and its ecosystem partners. Welcome back, I'm still minimum and this is the Cubes coverage of VM World 2020 our 11th year doing the Cube. First year. We're doing it, of course, virtually globally. Happy to welcome back to the program. One of our Cube alumni, Shannon Champion, and she is the director of product marketing with Dell Technologies. Shannon, Nice to see you and thanks so much for joining us. >>Thanks for having me. Good to see you as well. >>Alright, So big thing, of course, at VM World, talking about building off of what was Project Pacific at last year's show? Talking about how kubernetes all the wonderful cloud native pieces go in. So let's let's talk about application modernization. Shannon, you know, with a theme I've talked about for a number of years, is you know, we need to modernize the platform, and then we can modernize the applications on top of those. So tell us what you're hearing from your customers and how Delon vm, where then, are bringing the solutions to help customers really along that journey. >>Yeah, I'd love Thio. It's fun stuff. So, um, enterprises are telling us that especially now more than ever, they're really looking for how they must digitally transform. And they need to do that so they can drive innovation and get a competitive advantage on one way. That they're able to do that is by finding ways to flexibly and rapidly move work loads to where they make sense, whether that's on premises or in the public cloud. And the new standard for doing this is becoming cloud native applications. There was a recent I. D. C. Future Escape that predicted that by 2025 2 3rd of enterprises will be prolific software producers with code being deployed on a daily basis, and over 90% of applications at that time will be delivered with cognitive approaches. So it's just kind of crazy to think, and what's really impressive to is that the sheer volume of applications that are anticipated to be produced with these cloud native approaches Ah, it's expected to be over 500 million new APS created with cognitive approaches by 2024 just kind of putting that into perspective 500 million. APS is the same number that's been created over the last 40 years. So it's a fun, fun trend to be part of. >>Yeah, it's really amazing. When I talked to customers, there's some It's like, Oh, let me show you how Maney APs I've done and created in the last 18 months. It was like, Great. How does that compare before? And they're like, we weren't creating APS. We were buying APS. We were buying software. We had outsourced some of those pieces. So you know that that that trend we've been talking about for a number of years is kind of everyone's a software company, Um, does not mean that, you know, we're getting rid of the old business models. But Shannon, there are challenges there either expanding and moving faster or, you know, making sure that I have the talent in house. So bring us inside. What if some of the big things that your customers are telling you, uh, maybe that's holding them back from unlocking that central? >>Yeah, totally. You hit on a couple of them, you know, we're definitely seeing a lot of interest in adoption of kubernetes and clearly VM Ware is leading the way with Changzhou. But we're also hearing that they're underestimating the challenges on how toe quote unquote get to kubernetes. Right? How do you stand up that full cloud native staff and particularly at scale Thio? How do you manage the ongoing operations and maintain that infrastructure? How do you support the various stakeholders? How do you bring I t operators and developers together? Eso There's really a wide range of challenges that, um businesses air facing. And the other thing is that you hit on, you know, they're going to be producing mawr and Mawr cloud native applications, but they still need to maintain legacy applications, many of which are driving business, critical applications and workloads. So they're going to need to look for solutions that help them manage both and allow them to re factor or retire those legacy ones at their own pace so they can maintain business continuity. >>Yeah, and of course, Shannon, we know as infrastructure people, our job was always toe, you know, give the environment to allow the applications to run in virtualization. For years, it was Well, I knew if I virtualized something, I could leave it there and it wasn't going to. It didn't have to worry about the underlying hardware changes. Help us understand How does kubernetes fit into this environment? Because, as I said that people don't want to even worry about it. And the infrastructure people now need to be able to change, expand and, you know, respond to the business so much faster than we might have in times past. >>Yeah, so from an infrastructure perspective, working with VM ware based on tons of really the essence of that is to bring I t operators and developers together. The infrastructure has a common set of management that, you know, each the developer and the I t operators can work in the language there most familiar with. And, you know, the communication of the translation all happens within Tan Xue so that they're more speaking the same, um, language when it comes Thio, you know, managing the infrastructure in particular with VM ware tansy on VX rail. We are delivering kind of a range of infrastructure options because we know people are still trying to figure out you know, where they are in their kubernetes readiness path. Some people have really developed mature capabilities in house for who were Netease for software defined networking. And for those customers, they still may want Thio. You know, use a reference architecture er and build on top of the ex rail for, you know, a custom cloud native specific application. What we're finding is more and more customers, though, don't have that level of kubernetes expertise, especially at scale. And so VM ware v sphere with Tan Xue on VX rail as well as via more cloud foundation on VX rail are ways Thio get a fast start on kubernetes with directly on these fair or kind of go with the full Monty of VM or Cloud Foundation on VX rail. >>Well, we're bringing up VX rail. Of course. The whole wave of h C I was How do we enable simplicity? We don't wanna have to think about these. We wanna, uh, just make it so that customers can just buy a solution. Of course. VX rail joint solution, you know, heavily partnership with VM ware. So, Shannon, there's a few options. VM has been moving very fast toe expand out that the into portfolio, uh, back at the beginning of the year when the sphere seven came out. You needed the BMR Cloud Foundation. Which, of course, what was an option for for for the VX rail. So help us understand you laid out a little bit some of those options there. But what should I know as Adele customer, Uh, you know what my options are? How the fault Kansas Wheat fits into it. >>Yeah, eso We like to call it kubernetes your way with the ex rail. So we have a range of options to fit your operational or kubernetes scale requirements or your level of expertise. So the three options, our first for customers that are looking for that tested, validated, multi configuration reference architectures er that will deliver platform as a service or containers is a service. We've got Tom to architecture for VX rail, which is a new name for what was known as pivot already architecture er and then for customers that may have minimum scaling requirements. They may have some of that expertise in house to manage at scale. The fastest path to get started with kubernetes is the new VM ware V sphere with Changzhou on VX rail. And then last I mentioned kind of that full highly automated turnkey on promises Cloud platform. That's the VM, or Cloud Foundation, on VX rail, which is also known as Dell Technologies Cloud Platform. And that option supports Tan Xue with software defined networking and security built in with that automated lifecycle management across the full stack. So there's really three paths to it from a reference architecture approach to a fast path on the actual clusters all the way to the full Deltek Cloud platform. And Dell Technologies is the first and only really offering this breath of tans. You infrastructure deployment options. Eso customers can really, uh, choose the best path for them. >>Yeah, So, Shannon, if if I If I think back to what we saw in the keynote, you know, VM Ware lays out there, they're hybrid and multi cloud solution. So of course they're they're public cloud the VM ware cloud on a W s. They have that solution. They have extended extended partnerships. Now, with azure uh, the the the offering with Oracle. Uh, that's coming, and I guess I could think to just think of the delta cloud on VX rail as just one of those other clouds in that hybrid and multi cloud solutions. Do I have that right? Same stack. Same management. If I'm if I'm living in that VM world world. >>Yeah. So the Deltek Cloud platform is an on premises hybrid cloud. So, you know, ah, lot of customers were looking to reduce complexity really quickly especially, you know, with some of the work from home initiatives that were sprung upon us and trying to pivot, um to respond to that. And, you know, the answer to solving some of that complexity is to jump into public cloud. What we found is a lot of customers actually are driving a hybrid cloud strategy and approach. And we know many customers sort of have that executive mandate. There's value in, um, driving that are on prem hybrid cloud approach. And that's what Dell Technologies Cloud platform is. So you get the consistent operations in the consistent infrastructure and more of the public cloud like consumption experience while having the infrastructure on Prem for security data locality. Other, um, you know, cost reasons like that. Eso That's really where VM or Cloud Foundation on VF Trail comes into play eso leveraging the VM ware technologies you have on Prem Hybrid cloud. It can connect all those public cloud providers that you talked about. So you have, you know, core to cloud on Dwan. Of the new capabilities that VM or Cloud Foundation, is announced support for is remote clusters. So that takes us kind of from cloud all the way toe edge because you now have the same VCF operational capabilities and operational efficiency with centralized management for remote locations. >>Wonderful. I'm glad you brought up the edge piece. Of course, you talk to the emerging space vm ware talking about ai talking about EJ, so help us understand. How much is it? The similar operational model? Is it even eyes that part of the VX rail family? What's the What's the state of the state in 2020 when it comes to how edge fits into that cloud core edge discussion that you just raised? >>Yeah, when you look at trends, especially for hyper converged edge and cloud native are kind of taking up a lot of the airwaves right now. Eso hyper converge is gonna play a big role in Theodore option of both cloud native Band Edge. And I think the intersection of those two comes into play with things like the remote cluster support for VM Ware Cloud Foundation on VX rail, where you can run cloud, you know, cloud native based modern applications with Tan Xue alongside traditional workloads at the edge, which traditionally have more stringent requirements. Less resource is maybe they need a more hardened environment, power and cooling, you know, um, constraints. So with VCF on VX rail, you have all the operational goodness that comes from the partnership in the levels of integration that we have with VM Ware. And customers can sort of realize that promise of full workload management mobility in a true hybrid cloud environment. >>Shannon I'm wondering what general feedback you're getting from your customers is as they look at a zoo, said these cloud native solutions. You know what's what's the big take away? Is this a continuation of the HD I wave that you've seen? Do they just pull this into their hybrid environments? Um, I'm wondering if you have any either any specific examples that you've been anonymized or just the general gestalt that you're getting from your customers. Is that how they're doing expanding, uh, into these, you know, new environments that kind of stretch them in different ways. >>Yeah, it's interesting because you know, there's there's customers that run the gamut when we look at those that are sort of the farther down their digital transformation journey. Those are the ones that were already planning for cloud native applications or had some in development. Uh, there's also some trends that we're seeing based on, you know, the the size of cluster deployments and the range of, you know, various configurations that are an indicator of those customers that are more modernized in terms of their approach to cloud native. And what we find from those customers, especially over the last six months, is that they're more prepared to respond to the unknown on bond. That was a big lesson for some of the other customers that you know, had new. The digital transformation was the way of the future, but hadn't yet sort of come up with a strategy on how to get there themselves were finding those customers are inhibiting their investments to areas that can help them be more ready for the unknown in the future. In Cloud native is top of that list. >>Absolutely. Shannon Day Volante showed a few times There's the people in the office, you know, with their white board doing everything. And there's the wrecking ball of covert 19. Kind of like Well, if you weren't ready and you weren't already down this path, you better move fast. Wonderful. All right, Shannon. So we know, uh, from past years, you know, VX rail. Usually it's all over the show. So in the digital world, what do you want to he takeaways. What are some of the key? You know, hands on demos, sessions that that people should check out. >>Thank you. Yeah. So hopefully your take away is that the X ray is a great infrastructure to support modern applications. First and foremost, we have, you know, a jointly engineered system built with VM ware, four VM ware environments to enhance fam. Where, and we do that with our the extra LHC I system software, which I didn't give a shout out to yet, which extends that native capabilities and really is the secret behind how we do seamless automated operational experience with the ex rail. And that's the case, whether it's traditional or modern applications. So that's my little commercial for VX rail at the show. Please tune into our VM World session on this topic. We also have hands on labs. We are launching a fun augmented reality game. Eso Please check that out on. We have a new Web page as well that you could get access to all the latest assets and guides that help you, you know, navigate your journey for cloud native. And that's at dell technologies dot com slash Hangzhou. >>Wonderful. Well, Shannon Champion, thanks so much. Great to see you again. And be short. Uh, we look forward to hearing more in the future. >>Thanks to >>stay with us. Lots more coverage from VM World 2020. I'm stew. Minimum is always thank you for watching the Cube.

Published Date : Oct 1 2020

SUMMARY :

Shannon, Nice to see you and thanks so much for joining us. Good to see you as well. Shannon, you know, with a theme I've So it's just kind of crazy to think, you know, making sure that I have the talent in house. And the other thing is that you hit on, you know, you know, give the environment to allow the applications to run in virtualization. um, language when it comes Thio, you know, managing the infrastructure you know, heavily partnership with VM ware. And that option supports Tan Xue with software defined networking and Yeah, So, Shannon, if if I If I think back to what we saw in the keynote, you know, VM Ware lays out there, you know, the answer to solving some of that complexity is to jump into public cloud. fits into that cloud core edge discussion that you just raised? on VX rail, you have all the operational goodness that comes from the partnership in the levels you know, new environments that kind of stretch them in different ways. you know, the the size of cluster deployments and the range So we know, uh, from past years, you know, VX rail. First and foremost, we have, you know, a jointly engineered system Great to see you again. Minimum is always thank you for watching the Cube.

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Ben Golub, Storj Labs | CUBE Conversation, August 2020


 

>> From the Cube studios in Palo, Alto and Boston, connecting with thought leaders all around the world, this is a Cube conversation. >> Welcome to this Cube conversation. I'm Paul Gillin, Enterprise Editor at SiliconAngle. We've been talking a lot about cloud native on SiliconAngle lately, and my guest is someone who had a seminal role in defining the the principal architecture, some of the foundational technologies for cloud native applications. Ben Golub is the CEO of Storj, a company that has a really interesting new approach to storage management that we'll talk about in just a bit. Ben is probably best known to many people as the former CEO of Docker, which pioneered software containers and was one of the fastest growing companies in Silicon Valley, he's great. Ben, thanks for joining us, feel appreciated you being here today. >> Thank you, it's great to be here. >> So, let's get into the question of cloud native is a theme that we're focusing on right now. How important is it for organizations you believe that are moving to the cloud to choose to re architect around cloud native principles? >> Well, I think it's, I mean, two points. First of all, I think that the cloud native is sort of a spectrum. And for many people, there is a point along the spectrum that makes sense. At the far end of the spectrum is applications that are deployed on a massive scale. They're components to thousands of microservices, heavily orchestrated with things like Kubernetes, scaling up scaling down, and for many organizations, they don't need to go all the way there to get real benefits. And maybe the related thing is that I think, for organizations, there's absolutely, for most organizations, there's value in moving along that spectrum, but they should be thoughtful about where it is that they're going, and why they're going there. >> Either or thing and they applications can live along the spectrum. you submitted some comments recently for an article we did on this topic and among them you said that some applications may make sense being containerized or Dockerized but not being orchestrator with Kubernetes. Can you give an example of something that meets that criteria? >> Sure, well, I can I think that almost all applications can benefit from running on more cloud like infrastructure. There's certainly value in having infrastructure that that scales up, or that scales out there, where people are able to sort of dynamically use resources and not have it have to rely on big iron. But in terms of the applications themselves traditional applications can run well in cloud environments provided that some steps are taken. And often for many organizations, the first step with a traditional application is simply to containerize your Docker engine. That gives a lot of benefits including, ease of migration, greater ease of adopting things like CICD, and you don't necessarily have to take all of your traditional applications, break them into lots of micro services, start orchestrating them with Kubernetes on day one, for some reasons, case may never make sense because they're not going to be run at massive scale. >> Many people assume that containers and cloud native architecture are inextricably linked. Is that your opinion? >> Well, so I think that cloudy infrastructure tends to benefit from from containerization. But really, it's more of an application question. If you are breaking your application or you're writing applications that are composed of lots of different services, almost inevitably, you want to have those services in containers so that they have clean interfaces between them. And so, that you can do the things people want to do with cloud native, which is, make changes to your microservice A with a small team and do so rapidly without unintentionally screwing up microservice, B, C, D, et cetera. And Dockers in a containerization, among other things, provides that nice clean interface. >> All right, how have you seen I mean, since you left Docker three years ago, how have you seen the container technology evolve? What do you think are some of the most important evolutions we've seen in container technology since then? >> Yeah, so I think, what has been really important for us to see that the community continues to grow. So, once the Docker community continues to grow, there are now lots of other communities around it the cloud native computing Foundation, Kubernetes. And I think what you're seeing is really the maturing of this technology. So that applications can be written in a cloud native way much more more easily. The barriers to making an application cloud native really come down, but also the potential for running applications and really massive scale have have have increased and there are certainly a number of interesting things that have happened in the storage space in terms of persistent volumes. things that have happened in terms of service technology service measures, like STO these are all really great examples of how the community is filling in around containers. >> We've heard a lot about the benefits of portability that come from using containers. But being portable can involve some trade offs, because you have to give up some of the native functionality of branded cloud platforms. Do you think the goal of multi cloud is overblown? >> I think there is real value in being multi cloud. And I think that while you know, the larger stock traders have provided great services, it is in their names, of course, we're trying to get have all of the workloads run within their four walls. And I think for most organizations, locking is a bad idea, regardless, right? We're in a distributed world, most people want to be able to run their applications at scale in a distributed way and they want to be able to take advantage of spare cycles and the most efficient way and concise way of doing so. And so, having locking, I think is a bad idea. And for most organizations, the investment to become portable, while not trivial pays off in the long run. >> How about of the cultural issues is something that you also mentioned in the comments you contributed to us earlier, we hear often that the biggest impediments are not technical or even skills but actually changing the culture to adapt to a cloud native way of building applications. How should organizations prepare for that shift? >> Well, I mean, I think they should recognize what those differences are going to be. And if you're writing, the traditional method was you write a large monolithic application, because it's so big and complicated. Generally speaking, people follow sort of a waterfall procedure. They have large teams working on it, and you update the application once or twice a year. The cloud native approach is let's write applications that are composed of lots of smaller services produced by smaller teams that move very rapidly. And a lot of the testing and the deployment happens in a very automated way. And the cultural barriers are pretty large. I think most people are happy at the end of the journey. But there's a period in between where things are difficult that you're, you're breaking glass as it were. So, I think for a lot of large organizations, the approach that often works best is to have a few sort of isolated, Greenfield application approaches, where you have a small team that is sort of proving out and becoming good ambassadors for doing things in cloud native way. But there's also a an evolutionary way to bring the older applications along there for many organizations is really helpful. That doesn't have any running head on it. Other cultural issues with the traditional application. >> So, break them up into teams and have different teams at different stages of evolution. >> Right, and so, I think you can have a small advanced team that is working on new applications at Greenfield, cloud native way. But then the transition path for the teams that are working on the older application, traditional applications that were not initially architected in a cloud native way is to break them down in an evolutionary way, first dockerize, containerize, the traditional applications, then maybe break them down from a monolith into, say, three tiers, each of those tiers being containerized. And then potentially pull out one of those services if it's a common service across all the applications and start using that and the process. I think we find organizations get the sort of muscle memory around doing things in a more continuous way in a more agile way. And they get experienced with tools like CICD, Docker, Kubernetes te cetera in a more organic way. >> Do you find that people who come from the traditional waterfall development background eventually can't make that shift? >> I think some can, there are pluses and minuses. But I think that most organizations find that as they get more agile things that used to be very difficult become a lot easier, right? So, rather than having big masses of code that needs to be rewritten and changed, you change something in one area and it breaks things and unexpected way in another area. Right, then you're trying to get large teams of people to sort of agree on things which we know is not the way the world works. When you get to smaller teams working on more atomic pieces of the code with clean interfaces between them, and can iterate more rapidly without having unintended consequences. For most organizations that not only makes them faster, but it gives higher quote, quality, safer et cetera. >> Another topic we hear a lot about today is application modernization, what does that mean to you? >> So, I think for me application modernization means that you're re architect, you're making the application itself more cloud like, which doesn't mean that you made it full scale cloud native on day one, right? But that you, for example, taking a traditional application and Docker rising, or containerizing it, just containers in the monolith actually gives some real advantages. And that then sets people off to say, let's not only take the advantages that we now have in terms of portability, but let's start exploring the advantages that we can get from having more frequent deployments or more automated testing. And so, really it's modernizing the application but also modernizing the environment around it and in the culture for how you build and deploy applications. >> Let's turn to your current venture Storj. You've been CEO there for about two and a half years now. Very interesting decentralized approach to storj using blockchain. Just tell us quickly how you're re imagining Storj? >> Sure, sure, well I mean for, for of course, most of computing history storage was done, like people buying their own disk drives and then storing data on it. And if they failed or got lost as a problem, or if they had to buy too much, I was expensive. Then we move to centralized clouds where you were storing data on drives that one organization was running, we started taking it a step further, where we built a storage service. But we don't run your own any disk drives. We're sort of like ABNB, for restaurants, right? But we've gotten 10s of thousand people around the globe. Generally, data centers who have spare capacity enabled them to rent out that spare capacity. And we're offering our customers a way to do storage that is much safer, much more private, faster and far less expensive, than with the traditional cloud. >> Certainly intuitively, it would be less expensive. How is it faster? Well, it's faster for a lot of the same reason the the internet, if you will is faster than the traditional approach was landlines, right? We were able to take advantage of parallelism, right? So, we break every file up into a large number of pieces, which are then distributed across the network. And so, first of all, we don't get slowed down. If some of the drives are slow, or they happen to be in an area where there's network congestion. It doesn't slow down. We also end up having, generally speaking, have our data much closer to the edge. So, if you're in Kenya, and you're viewing a video that sort of serve from our network, chances are the data is getting served from graduate cluster view rather than driving or in Kansas. >> It sounds like there are some sort of cloud native aspects to what you're doing. In fact, are you adopting some cloud native principle on-- >> Well, so kind of we put our service in the cloud native way. But it really takes the cloud native notion of distribution and takes it even a step further, which is that things are highly decentralized. And so, we built our service in a very particular way because we are not directly controlling the disk drives, so, we basically use algorithms and math to make sure that we're resilient against any failure. and things are done in a highly automated and scalable way so that there's really no single points of failure. And there's infinite scalability, which is which is really the goal of cloud native, but we take it a step further. >> And blockchain is what knits us all together, right? Well, it tracks the location of all the all the data. >> I don't know, cause actually none of us 'cause we use blockchain for certain purposes, namely, compensating the people who are running the drives. So, they do cryptographic proofs to prove that the data they have, they shouldn't have to get compensated for running it. But then we've tried to use a large range of different kinds of peer to peer technologies. And even frankly, some very cool very old technology like racial coding which is on the on the Voyager spacecraft to make sure that it all fits together in a way that's safe, secure, private and super fast. >> All right, there other applications of this technology have developed be on Storj? >> Well, so we are working on decentralized storage. Other people are out there working on decentralized computing, where the application can be written and run on. Sorry, can be run on using CPUs that are all around the globe, we happen to think storage is probably the most important problem to solve first. Because, death, taxes and data are things that never go away. And the world's creating more and more every year, it would actually, the data created this year would have filled a stack of CD ROMs to orbit of Mars and back. It's going to grow from there. >> I love those analogies. >> Yeah, some of that's cat videos, but a lot of it is really super critical data on finding, therapeutics for COVID are the cure for cancer or new forms of energy. And so, find a way to use to give people the ability to store their data in a highly secure, highly efficient and very cost effective way we think is really important. >> And what should we be looking for from Storj for the next year, >> Let's say Storj is in production. We are adding end users. We're starting to see some larger users, which is a very 10 for us, today, we're used primarily for sort of second tier storage, but we expect to be moving into sort of primary storage and even CDN down the road. It turns out that what we built is a really great way to distribute large files, including video and photos and x-rays and satellite images and things like that. >> Well, Ben, thanks for joining us today. I know you're a Cube alum you've been many times on the Cube. I think this is the first time we've done it virtually though. >> I know, I do miss being in the same room as you and you're colleagues but this is a very nice thing too. >> So, do we believe me? Ben Golub, CEO of Storj. Thanks for taking time for being with us today. This has been a Cube conversation. I'm Paul Gillin. Thank you for joining us, be well. (bright upbeat music)

Published Date : Aug 4 2020

SUMMARY :

leaders all around the world, in defining the the that are moving to the cloud And maybe the related can live along the spectrum. But in terms of the and cloud native architecture And so, that you can do the the community continues to grow. the benefits of portability and the most efficient way but actually changing the culture to adapt And a lot of the testing So, break them up into Right, and so, I think you masses of code that needs to be and in the culture for how you build to storj using blockchain. people around the globe. lot of the same reason aspects to what you're doing. in the cloud native way. of all the all the data. the on the Voyager spacecraft that are all around the globe, the ability to store their and even CDN down the road. I think this is the first time being in the same room So, do we believe me?

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Sandy Carter, AWS | AWS Public Sector Online


 

>>from around the globe. It's the queue with digital coverage of AWS Public sector online brought to you by Amazon Web services. Everyone welcome back to the Cube's virtual coverage of Amazon Web services. Public sector Summit Online Virtual I'm John Furrier, your host of the Cube here in our Palo Alto studios were quarantined with our crew here. We're talking to all the guests, getting all the content I'm excited of. Sandy Carter Cube alumni's also the VP vice president. Worldwide public sector partners and programs. Sandy. Great to see you virtually. You look >>great virtually too. It's great to see everybody virtually. >>I love the sign behind you. Powered by AWS. I'm excited to have you on, but I really wanted to get jump right in because this is really an important conversation. Public sector is seeing a lot of activity around what's going on with covert 19 especially with all the public services that are needed. And people are now remote workers, remote consumers, public service and still needs to be delivered just like business. So it's a really had a big impact of the entire world. We're all seeing it. We're feeling it's not just tech thing. How are you seeing your community respond? Your partners are responding to covert. 19. Can you share what's happening? >>Yes, John, I have to say, I am so incredibly proud of the partners that we support and how they've stepped up in this time. That has no blueprint, right? It's brand new for everybody, whether we're talking about virtual call centers. We had so many states that said they had people waiting for hours waiting for calls to be answered about Covance for Take. For instance, West Virginia, West Virginia had collars waiting for hours 77,000 calls a day. They worked with one of our partners, Smartronix, and they got this new solution a ream or remote virtual call center, up in 72 hours. 72 hours later, Average wait. Time was 60 seconds. Amazing job by Smartronix or one of our other partners, Elektronik Caregiver who's based out of New Mexico, where my husband's from a great partner who's been looking at, um, telemedicine, how they can help those at risk in hospitals and rehabs, even just at their homes. Or another startup that's a partner of ours called Hello, Alice, that integrated with our AI and ML to create a small business platform to help those small businesses get access to funding. Answer questions During this really hard time and the last example, I'll give you his Inter vision, one of our newest premier partners, who had a customer that came to them and said, Look, I need to get a remote work solution up workspaces identity manager help desk And they thought it would take months and Inter Vision was able to do it in week. So I am so proud and so thankful of our partners and what they've done to really impact the world, not just for their own profit, but for purpose helping out states, governments and citizens >>and congratulations. And it's well needed. People are feeling the pain. One area I want to get your thoughts on is the agencies we talked to the Department of Defense general manager earlier today. Um, all of the agencies in in public sector are shifting, and obviously, with the limitations, they got a shift to the remote workforce. They got to be faster. They got to be agile. I know they've been trying to, but they can't just wait any longer. They're forced to. How are your public sector partners helping the agencies? >>Yeah, this is another just terrific story. I cannot brag about our partners enough with our agency work. So if you looked at all of the agencies, kind of had a tight title wave of this digital transformation, things that we're gonna take them years ended up taking them weeks and months. So whether it's Kansas with the Department of Labor, they had 8800 and 77,000 calls a day. 21 staff couldn't do. It worked with our partners to get a call center up and going or in New Mexico again with Accenture, they used Amazon Connect, which is one of my new favorite products from Amazon. It's a call center that leverages machine learning and AI. They were able to work with the New Mexico Human Services and get that up and going in two days, Um, or even in Montana, a great story with Deloitte, where they built a custom chat box in seven days, custom chat box and seven days to answer questions about food and medicine and even how to get cash. If you needed to get cash, our partners really stepped up with the agencies, and they did so much compelling work so quickly. I think speed was such a great component here, John. The speed of deployment, the speed of help. You know, working 24 by seven to deliver these solutions. Our partners really did an amazing job. >>Yeah, and it's really hard with virtual. I got, I got I wish I was in person with everyone because coming to the public sector summits, one of my favorite events reinvent in public sector. Some of the two big shows, I really think encapsulate all the activity because it's virtual. People might miss some news. What else is going on in the world of public sector partners? You? Can you elaborate more on what's going on around the edges? What's on the bleeding? Cutting edge? What's the pioneer and what are some of the blocking and tackling that you're doing? Share some of the news. What else is going on? >>Yeah. Thank you, John. There's so much going on. First of all, we just introduced a new partner solution portal. So all of these code that 19 solutions are featured there. We will provide a URL for any customer looking for a great solution by our partners. We also really honed in and helped our partners during this time around. Said Ramp. And you know that fed ramp is so crucial. Security cybersecurity Incredibly essential. During this time I know you talked to my good friend Casey from Salesforce. They were able to achieve their fed ramp I and we offer a lot of help to our partners to help them to achieve not just fed ramp, but GDP are as well as HIPPA too. Some other news on migrations. We've got a competency around migrations. We've got some new funding for our partners around map and we're seeing our migration's really accelerate, you know, once these agencies, once he states see the power of the cloud, they're like, give me more, I want to put more and so we're seeing migrations accelerate. I know that you saw the Navy speak about what they're doing with s AP and as to another one of my favorite partners 72,000 users now running in his two on AWS. Six different commands pretty powerful. And I would say last but not least, is PTP our program transformation program for our partners, which really is like 100 and 10 day session to help the partners become a cloud business themselves. So they're kind of drinking their own champagne before they go out and help others. They become a cloud business. It's really powerful. This program has helped to generate twice the revenue of a typical a PM program. >>You mentioned the Navy always having interesting chat about that. Migration was less than 10 months. >>Yes, again. Speed, speed, speed, right, John. I mean, it's incredible >>years, two months, and the other thing that you probably find interesting and this is something that's kind of not talked about. But it's felt just the basic stuff, like getting paperwork in some of these processes, like you mentioned Fed Ramp. There's a lot of things that go on around public sector. You just got to get done. You got a slog through it, if you will. You guys have have responded well there, and this is the benefit of the cloud. Having the streamlined processes elaborate more on that, because I think that's important. Benefit not only just started in the critical infrastructure, like call centers and things of that nature, but getting business done. That's a big thing. >>Yeah, And I would say, you know, if you look at it, we helped over 20 states with their insurance processes. I mean, it seems like a minor thing, but a lot of these things were manual before, Um, we've helped many states with unemployment, you know, very critical at this time, taking a manual process and getting it into the cloud. There's so many of these that we can go on and on about How do you get medical supplies? One of our partners cohesive down in Latin America has been helping around some of the supply chain issues that that we deal with there some of the things that we take for granted when you're in person now that your virtual, you really need to think them through in the cloud. So again, you know, our partners responded with speed. They responded with heart to John one of the other things, you know, hashtag tech for good. They responded with heart as well as they were looking at these projects and ensuring that states and agencies and governments around the world could take care of their citizens, which is all of us. >>You know, existing. We've talked in the past. We've talked on camera and off camera around our shared passion around tech for good. I've been a big proponent of as well as us of right of other folks. But with the crisis, the word impact means something. And social impact is actually social impact. Getting your unemployment check or, you know, this this is highlights the critical nature of why these services exist. I think it's a real testament. I think people should step back and saying why we should never go back to the old antiquated ways because this is now the new reality. These services can be agile, they can be faster. It takes a crisis, unfortunately, and I guess that could be the silver lining in all this. So props to you guys on giving the partnership there with the partners >>and to the governments and states, John, who have now, like they moved rapidly, right? All these states, all these agencies, all these governments move quickly to digital transformation. Now they've gotten a taste of it, and they're like, give me more. And so the great thing to me is that this wasn't a one time event or one time crisis driven movement. Now that they see the power of it much like what you're saying with your business, they're doing more and and that's what I really applaud for all of them. And the way that they're transforming the business is now longer term. >>I'm optimistic, and I hope when we come out of this when everyone gets settled and they re imagine and reinvent, there's a growth strategy and expansion could be for positive change. So you've >>got >>stuff. We're all for that, and we'll be watching that reporting on it. I >>want to >>ask you something. I've heard that you guys will be soon expanding your public safety and disaster response partner. Competency. Can you tell me more about that? >>Yeah, So we announced the This is a hard one is disaster response in public safety competency at re invent for our consulting partners? And that went over amazingly well. I mean, take, for instance, Max are who is probably the best at believing delivering data both pre and post data to a disaster. They helped Noah, for instance, where data was taking 100 minutes to get that data down. Not good enough in a disaster. They were able to achieve a 58% faster download of data so you can do something with that Use that data to make good decisions. So these consulting partners have really embraced are our disaster recovery and public safety response competency. And now what we want to do is introduce this for our technology partners. So we're announcing the coming of this program for our technology partners. Now who is a technology partner? Well, think about an AI is the or a SAS provider these type of partners who have great solutions that target this particular area, think about public safety right now and how important that is, or even disaster response. You know, we have cove it, but right after that, we have all these hurricanes and earthquakes and other things that are happening around the world. Killer hornets. Um and so we've got some great technology partners that have solutions here, and we'll be welcoming them into this confidence. He fold as well. >>Well, this brings up something I've been commenting on. I want to get your reaction is because you know, when you have that flywheel pattern, infrastructures of service platforms of service and sass that build cloud when we've seen the benefits over a decade. Plus, when you bring the business model, you start to see the same thing. Some foundational things like infrastructure as service would be like compliance. Instant auditing that the Navy seeing, for instance, I heard earlier and then that platform pieces to allow these new workloads. So these new applications are going to be coming on. Creative surge of application developers, new kinds of workloads, new kinds of workforces and and work work flows. So you're gonna start to see these new APS. That means you guys will probably be inundated with new things. How do people get involved? Do they join a PN? What are some of the benefits? What should someone do? I want to be a partner of AWS because I see a solution. I create something that may be unique and specialize in niche. But it solves a really important problem. I want to bring it to Amazon. How do I do that? >>And we want you as a partner to John. Um, so yes. I mean, if you're a partner, the very first place to start is to join our A p m r Amazon Partner Network. If you're a startup or an I s d a distributor or reseller consulting partner, any of those that would be the first place to start, And then based on what you're interested in, you would then select the types of help that you might get. So, for example, if you're a start up, we helped start ups with credits because a lot of startups need free credits as they're starting their businesses or even technologies. So if you think about Hello, Alice, uh, you know, really using tagging for her small business site during Cove it we were able to provide some technology expertise to get her moving and grooving. Um, other great programs that we have out there are things like 80 0 the authority to operate. And this is really important, John, because a lot of our our customers require fed ramp and fed ramp is very costly and not only costly, but takes a lot of time so we can dramatically reduce your time to market with fed ramp really help you through with all those best practices. In fact, today we have 110 fed ramp solution that have gone through our 80 or authority to hire authority to operate process. And that's four X. Our top two competitors combined four x the number of partners that have gotten through because of the amount of time that is reduced through this process as well as the best practices that we bring. We've done a slim down version, so if you're a start up and you're interested in it like we partner with the Joshua down at Capital Factory and they've got the Army future command, we got a lot of startups. You want it? We've also got a slim down version for for them as well. >>It's been a >>very powerful program, >>and being in the cloud you can fast track and learn from others. This >>is the >>whole point of cloud. >>Absolutely, And learning from others is, you know, one of the great things that we love to do. In fact, until I we're going to do a big partner meeting, you know, here at the summit we'll have partners that participate in the virtual online summit. We're going to do a separate meeting just for our partners in July as well to share with them some of the things that are important to them around programs and some of these AP and benefits and some of the changes that we've made to help support them during the Cove it crisis. >>And I think you know the partners or the channel or how you look at it. They're adding value and a great partner for Amazon. For you guys, It's a great city. >>Yeah, I mean, are we could not. We at Amazon could not do the business We do without our partners. They bring their expertise, their best practices, the skills and the relationships they have, the contracts they bring to the table. So we're so grateful for the partners that we have in our public sector partner program. It's one of the reasons I loved my job. Every day I get to talk to a new partner on a new technology area that they're working on. It could be, you know, spatial computing, or AI, and they're helping not just move for a business, but they're helping on a purposeful mission project usually which are so powerful in today's world, especially with all the different crisis, is that we've seen, >>you know, One thing I want to get just share with you is that I talk to a lot of partners, certainly on the Cube and in person. One of the things that resonates with partners is not only the optimism of Amazon and programs you run, but it's enablement. You guys really enable the partners to be successful on your behalf and you on their behalf. But ultimately the customer and I think, and there's money to be made so lucrative and profitable, and they could impact change. So this enabling capability is really the magic. And so I want to ask you on your final question. Here in the talk is what's the vibe now? Because also, we know it's pretty depressing with Cove it, um and we're gonna get through this, but so there will be a day we get through. This will be growth and strategies around. It will never be the same. Certainly, I believe the hybrid world. What's >>the >>vibe inside the Amazon Web services public sector partner team, the community, the ecosystem? Could you just give some insight into how people are doing? And what's the vibe? >>Yeah, I would say the vibe is hopeful um, we all see the difference and the impact that we're making on a daily basis. And because of that, um, we continue to stretch forward and really move mountains for our customers to help them deliver better services. Um, you know, our partners are jumping in and all kinds of areas. First of all, for example, they are jumping in on doing hackathons to help with covet 19. So, John, you know, girls and tech. We've got our partners and us as AWS jumping into happy on different solutions for some of these challenges that are facing there. That's all about hope. I hope that we can make a difference. We are jumping in and assisting on remote work and unemployment, um, to provide hope to the teams and the community. So I would say, you know, it's tough for all. In fact, one of my friends describes, this is a crisis cake, not one level of a crisis, but multiple levels of the crisis. And I have never been with a with a more optimistic and positive team in my whole life, one who's willing to do what it takes. And when I see team, I mean not just my AWS partner team, which is the best of the world, but our world class partner team as well, who is willing to jump in there and do what it takes to help our customers. Even this weekend, I had a part of my partner team and my partners working to solve a problem for an agency that was, you know, um, critical. And they jumped in on the weekend to make that happen. So I would say, if I could say one word, I would say My partner's are hopeful they are. They're learning. They're curious. They're stepping out into new areas like connect and remote work and remote learning. And they're doing things that they never thought was possible based on what's happening today. >>Critical infrastructure, critical software, services and processes gotta be maintained and this opportunity. So I think it's, you know, heads down with hope and growth, always great to chat with you. And of course, we'll be following and covering your event next month. So looking forward to it, exciting times. Sandy Carter, Thank you for joining me today for coverage. >>Thank you, John. It's always a pleasure to be here on the Cube Thank you guys for watching as well. >>Sandy Carter, vice president, worldwide public sector partners in program. Distinguished Cube Alumni. A tough job, great job at same time. A lot of opportunities and hope. I'm John Furrow, your host of the Cube. You're watching our coverage. Cube Virtual of Amazon public sector Online summit. Thanks for watching. Yeah, yeah, yeah.

Published Date : Jun 30 2020

SUMMARY :

AWS Public sector online brought to you by Amazon It's great to see everybody virtually. I'm excited to have you on, the last example, I'll give you his Inter vision, one of our newest premier partners, who had Um, all of the agencies in in public sector are shifting, So if you looked at all Some of the two big shows, I really think encapsulate all the activity I know that you saw the Navy speak about what they're doing with s AP You mentioned the Navy always having interesting chat about that. I mean, it's incredible You got a slog through it, if you will. They responded with heart to John one of the other things, you know, hashtag tech for good. So props to you guys on giving the partnership there with the partners And so the great thing to So you've I I've heard that you guys will be soon expanding your public safety and download of data so you can do something with that Use that data to make good decisions. So these new applications are going to be coming on. And we want you as a partner to John. and being in the cloud you can fast track and learn from others. Absolutely, And learning from others is, you know, one of the great things that we love to do. And I think you know the partners or the channel or how you look at it. the skills and the relationships they have, the contracts they bring to the table. And so I want to ask you on your final question. So I would say, you know, it's tough for all. So I think it's, you know, heads down with hope and growth, Cube Virtual of Amazon public sector Online

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Dan Woicke, Cerner Corporation | Virtual Vertica BDC 2020


 

(gentle electronic music) >> Hello, everybody, welcome back to the Virtual Vertica Big Data Conference. My name is Dave Vellante and you're watching theCUBE, the leader in digital coverage. This is the Virtual BDC, as I said, theCUBE has covered every Big Data Conference from the inception, and we're pleased to be a part of this, even though it's challenging times. I'm here with Dan Woicke, the senior director of CernerWorks Engineering. Dan, good to see ya, how are things where you are in the middle of the country? >> Good morning, challenging times, as usual. We're trying to adapt to having the kids at home, out of school, trying to figure out how they're supposed to get on their laptop and do virtual learning. We all have to adapt to it and figure out how to get by. >> Well, it sure would've been my pleasure to meet you face to face in Boston at the Encore Casino, hopefully next year we'll be able to make that happen. But let's talk about Cerner and CernerWorks Engineering, what is that all about? >> So, CernerWorks Engineering, we used to be part of what's called IP, or Intellectual Property, which is basically the organization at Cerner that does all of our software development. But what we did was we made a decision about five years ago to organize my team with CernerWorks which is the hosting side of Cerner. So, about 80% of our clients choose to have their domains hosted within one of the two Kansas City data centers. We have one in Lee's Summit, in south Kansas City, and then we have one on our main campus that's a brand new one in downtown, north Kansas City. About 80, so we have about 27,000 environments that we manage in the Kansas City data centers. So, what my team does is we develop software in order to make it easier for us to monitor, manage, and keep those clients healthy within our data centers. >> Got it. I mean, I think of Cerner as a real advanced health tech company. It's the combination of healthcare and technology, the collision of those two. But maybe describe a little bit more about Cerner's business. >> So we have, like I said, 27,000 facilities across the world. Growing each day, thank goodness. And, our goal is to ensure that we reduce errors and we digitize the entire medical records for all of our clients. And we do that by having a consulting practice, we do that by having engineering, and then we do that with my team, which manages those particular clients. And that's how we got introduced to the Vertica side as well, when we introduced them about seven years ago. We were actually able to take a tremendous leap forward in how we manage our clients. And I'd be more than happy to talk deeper about how we do that. >> Yeah, and as we get into it, I want to understand, healthcare is all about outcomes, about patient outcomes and you work back from there. IT, for years, has obviously been a contributor but removed, and somewhat indirect from those outcomes. But, in this day and age, especially in an organization like yours, it really starts with the outcomes. I wonder if you could ratify that and talk about what that means for Cerner. >> Sorry, are you talking about medical outcomes? >> Yeah, outcomes of your business. >> So, there's two different sides to Cerner, right? There's the medical side, the clinical side, which is obviously our main practice, and then there's the side that I manage, which is more of the operational side. Both are very important, but they go hand in hand together. On the operational side, the goal is to ensure that our clinicians are on the system, and they don't know they're on the system, right? Things are progressing, doctors don't want to be on the system, trust me. My job is to ensure they're having the most seamless experience possible while they're on the EMR and have it just be one of their side jobs as opposed to taking their attention away from the patients. That make sense? >> Yeah it does, I mean, EMR and meaningful use, around the Affordable Care Act, really dramatically changed the unit. I mean, people had to demonstrate in order to get paid, and so that became sort of an unfunded mandate for folks and you really had to respond to that, didn't you? >> We did, we did that about three to four years ago. And we had to help our clients get through what's called meaningful use, there was different stages of meaningful use. And what we did, is we have the website called the Lights On Network which is free to all of our clients. Once you get onto the website the Lights On Network, you can actually show how you're measured and whether or not you're actually completing the different necessary tasks in order to get those payments for meaningful use. And it also allows you to see what your performance is on your domain, how the clinicians are doing on the system, how many hours they're spending on the system, how many orders they're executing. All of that is completely free and visible to our clients on the Lights On Network. And that's actually backed by some of the Vertica software that we've invested in. >> Yeah, so before we get into that, it sounds like your mission, really, is just great user experiences for the people that are on the network. Full stop. >> We do. So, one of the things that we invented about 10 years ago is called RTMS Timers. They're called Response Time Measurement System. And it started off as a way of us proving that clients are actually using the system, and now it's turned into more of a user outcomes. What we do is we collect 2.5 billion timers per day across all of our clients across the world. And every single one of those records goes to the Vertica platform. And then we've also developed a system on that which allows us in real time to go and see whether or not they're deviating from their normal. So we do baselines every hour of the week and then if they're deviating from those baselines, we can immediately call a service center and have them engage the client before they call in. >> So, Dan, I wonder if you could paint a picture. By the way, that's awesome. I wonder if you could paint a picture of your analytics environment. What does it look like? Maybe give us a sense of the scale. >> Okay. So, I've been describing how we operate, our remote hosted clients in the two Kansas City data centers, but all the software that we write, we also help our client hosted agents as well. Not only do we take care of what's going on at the Kansas City data center, but we do write software to ensure that all of clients are treated the same and we provide the same level of care and performance management across all those clients. So what we do is we have 90,000 agents that we have split across all these clients across the world. And every single hour, we're committing a billion rows to Vertica of operational data. So I talked a little bit about the RTMS timers, but we do things just like everyone else does for CPU, memory, Java Heap Stack. We can tell you how many concurrent users are on the system, I can tell you if there's an application that goes down unexpected, like a crash. I can tell you the response time from the network as most of us use Citrix at Cerner. And so what we do is we measure the amount of time it takes from the client side to PCs, it's sitting in the virtual data centers, sorry, in the hospitals, and then round trip to the Citrix servers that are sitting in the Kansas City data center. That's called the RTT, our round trip transactions. And what we've done is, over the last couple of years, what we've done is we've switched from just summarizing CPU and memory and all that high-level stuff, in order to go down to a user level. So, what are you doing, Dr. Smith, today? How many hours are you using the EMR? Have you experienced any slowness? Have you experienced any hourglass holding within your application? Have you experienced, unfortunately, maybe a crash? Have you experienced any slowness compared to your normal use case? And that's the step we've taken over the last few years, to go from summarization of high-level CPU memory, over to outcome metrics, which are what is really happening with a particular user. >> So, really granular views of how the system is being used and deep analytics on that. I wonder, go ahead, please. >> And, we weren't able to do that by summarizing things in traditional databases. You have to actually have the individual rows and you can't summarize information, you have to have individual metrics that point to exactly what's going on with a particular clinician. >> So, okay, the MPP architecture, the columnar store, the scalability of Vertica, that's what's key. That was my next question, let me take us back to the days of traditional RDBMS and then you brought in Vertica. Maybe you could give us a sense as to why, what that did for you, the before and after. >> Right. So, I'd been painting a picture going forward here about how traditionally, eight years ago, all we could do was summarize information. If CPU was going to go and jump up 8%, I could alarm the data center and say, hey, listen, CPU looks like it's higher, maybe an application's hanging more than it has been in the past. Things are a little slower, but I wouldn't be able to tell you who's affected. And that's where the whole thing has changed, when we brought Vertica in six years ago is that, we're able to take those 90,000 agents and commit a billion rows per hour operational data, and I can tell you exactly what's going on with each of our clinicians. Because you know, it's important for an entire domain to be healthy. But what about the 10 doctors that are experiencing frustration right now? If you're going to summarize that information and roll it up, you'll never know what those 10 doctors are experiencing and then guess what happens? They call the data center and complain, right? The squeaky wheels? We don't want that, we want to be able to show exactly who's experiencing a bad performance right now and be able to reach out to them before they call the help desk. >> So you're able to be proactive there, so you've gone from, Houston, we have a problem, we really can't tell you what it is, go figure it out, to, we see that there's an issue with these docs, or these users, and go figure that out and focus narrowly on where the problem is as opposed to trying to whack-a-mole. >> Exactly. And the other big thing that we've been able to do is corelation. So, we operate two gigantic data centers. And there's things that are shared, switches, network, shared storage, those things are shared. So if there is an issue that goes on with one of those pieces of equipment, it could affect multiple clients. Now that we have every row in Vertica, we have a new program in place called performance abnormality flags. And what we're able to do is provide a website in real time that goes through the entire stack from Citrix to network to database to back-end tier, all the way to the end-user desktop. And so if something was going to be related because we have a network switch going out of the data center or something's backing up slow, you can actually see which clients are on that switch, and, what we did five years ago before this, is we would deploy out five different teams to troubleshoot, right? Because five clients would call in, and they would all have the same problem. So, here you are having to spare teams trying to investigate why the same problem is happening. And now that we have all of the data within Vertica, we're able to show that in a real time fashion, through a very transparent dashboard. >> And so operational metrics throughout the stack, right? A game changer. >> It's very compact, right? I just label five different things, the stack from your end-user device all the way through the back-end to your database and all the way back. All that has to work properly, right? Including the network. >> How big is this, what are we talking about? However you measure it, terabytes, clusters. What can you share there? >> Sorry, you mean, the amount of data that we process within our data centers? >> Give us a fun fact. >> Absolute petabytes, yeah, for sure. And in Vertica right now we have two petabytes of data, and I purge it out every year, one year's worth of data within two different clusters. So we have to two different data centers I've been describing, what we've done is we've set Vertica up to be in both data centers, to be highly redundant, and then one of those is configured to do real-time analysis and corelation research, and then the other one is to provide service towards what I described earlier as our Lights On Network, so it's a very dedicated hardened cluster in one of our data centers to allow the Lights On Network to provide the transparency directly to our clients. So we want that one to be pristine, fast, and nobody touch it. As opposed to the other one, where, people are doing real-time, ad hoc queries, which sometimes aren't the best thing in the world. No matter what kind of database or how fast it is, people do bad things in databases and we just don't want that to affect what we show our clients in a transparent fashion. >> Yeah, I mean, for our audience, Vertica has always been aimed at these big, hairy, analytic problems, it's not for a tiny little data mart in a department, it's really the big scale problems. I wonder if I could ask you, so you guys, obviously, healthcare, with HIPAA and privacy, are you doing anything in the cloud, or is it all on-prem today? >> So, in the operational space that I manage, it's all on-premises, and that is changing. As I was describing earlier, we have an initiative to go to AWS and provide levels of service to countries like Sweden which does not want any operational data to leave that country's walls, whether it be operational data or whether it be PHI. And so, we have to be able to adapt into Vertia Eon Mode in order to provide the same services within Sweden. So obviously, Cerner's not going to go up and build a data center in every single country that requires us, so we're going to leverage our partnership with AWS to make this happen. >> Okay, so, I was going to ask you, so you're not running Eon Mode today, it's something that you're obviously interested in. AWS will allow you to keep the data locally in that region. In talking to a lot of practitioners, they're intrigued by this notion of being able to scale independently, storage from compute. They've said they wished that's a much more efficient way, I don't have to buy in chunks, if I'm out of storage, I don't have to buy compute, and vice-versa. So, maybe you could share with us what you're thinking, I know it's early days, but what's the logic behind the business case there? >> I think you're 100% correct in your assessment of taking compute away from storage. And, we do exactly what you say, we buy a server. And it has so much compute on it, and so much storage. And obviously, it's not scaled properly, right? Either storage runs out first or compute runs out first, but you're still paying big bucks for the entire server itself. So that's exactly why we're doing the POC right now for Eon Mode. And I sit on Vertica's TAB, the advisory board, and they've been doing a really good job of taking our requirements and listening to us, as to what we need. And that was probably number one or two on everybody's lists, was to separate storage from compute. And that's exactly what we're trying to do right now. >> Yeah, it's interesting, I've talked to some other customers that are on the customer advisory board. And Vertica is one of these companies that're pretty transparent about what goes on there. And I think that for the early adopters of Eon Mode there were some challenges with getting data into the new system, I know Vertica has been working on that very hard but you guys push Vertica pretty hard and from what I can tell, they listen. Your thoughts. >> They do listen, they do a great job. And even though the Big Data Conference is canceled, they're committed to having us go virtually to the CAD meeting on Monday, so I'm looking forward to that. They do listen to our requirements and they've been very very responsive. >> Nice. So, I wonder if you could give us some final thoughts as to where you want to take this thing. If you look down the road a year or two, what does success look like, Dan? >> That's a good question. Success means that we're a little bit more nimble as far as the different regions across the world that we can provide our services to. I want to do more corelation. I want to gather more information about what users are actually experiencing. I want to be able to have our phone never ring in our data center, I know that's a grand thought there. But I want to be able to look forward to measuring the data internally and reaching out to our clients when they have issues and then doing the proper corelation so that I can understand how things are intertwining if multiple clients are having an issue. That's the goal going forward. >> Well, in these trying times, during this crisis, it's critical that your operations are running smoothly. The last thing that organizations need right now, especially in healthcare, is disruption. So thank you for all the hard work that you and your teams are doing. I wish you and your family all the best. Stay safe, stay healthy, and thanks so much for coming on theCUBE. >> I really appreciate it, thanks for the opportunity. >> You're very welcome, and thank you, everybody, for watching, keep it right there, we'll be back with our next guest. This is Dave Vellante for theCUBE. Covering Virtual Vertica Big Data Conference. We'll be right back. (upbeat electronic music)

Published Date : Mar 31 2020

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in the middle of the country? and figure out how to get by. been my pleasure to meet you and then we have one on our main campus and technology, the and then we do that with my team, Yeah, and as we get into it, the goal is to ensure that our clinicians in order to get paid, and so that became in order to get those for the people that are on the network. So, one of the things that we invented I wonder if you could paint a picture from the client side to PCs, of how the system is being used that point to exactly what's going on and then you brought in Vertica. and be able to reach out to them we really can't tell you what it is, And now that we have all And so operational metrics and all the way back. are we talking about? And in Vertica right now we in the cloud, or is it all on-prem today? So, in the operational I don't have to buy in chunks, and listening to us, as to what we need. that are on the customer advisory board. so I'm looking forward to that. as to where you want to take this thing. and reaching out to our that you and your teams are doing. thanks for the opportunity. and thank you, everybody,

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Miranda Foster, Commvault & Al Bunte, Commvault | Commvault GO 2019


 

>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by Combolt. >>Hey, welcome back to the cubes coverage of combo go 19. Stu Miniman is here with me, Lisa Martin and we are wrapping up two days of really exciting wall to wall coverage of the new vault and we're very pleased to welcome a couple of special guests onto the program. To help us wrap up our two days, we have Miranda foster, the vice president of worldwide communications for comm vault and Al Bunty is here, the co founder, former COO and board member. Welcome Miranda and Al. Great to have you on the program. Thanks Lisa. So a lot of energy at this event and I don't think it has anything to do with our rarefied air here in the mile high city. Al, let's start with you. >>Well, there's other things in Colorado. >>There are, yeah, they don't talk about it. They talked about that on stage yesterday. So owl, you have been with convo ball as I mentioned, co-founder. What an evolution over the last 20 years. Can you take us back? >>Surely. So, um, yeah and it's been, it's, it's really kind of cool to see it coming together at this point. But if you go back 20 years when we started this, the whole idea was around data. And remember we walked into a company that was focused on optical storage. Um, we decided it would be a good company to invest in. Um, for two reasons. One, we thought they were really great people here, very creative and innovative and two, it was a great space. So if we believed we believe data would grow and that was a pretty decent thesis to go with. Yeah. And then, then it started moving from there. So I tell people I wasn't burdened with facts so I didn't understand why all these copies were being made of the same set of data. So we developed a platform and an architecture focused on indexing it so you just index at once and then could use it for many different purposes. >>And that just kept moving through the years with this very data centric approach to storage, management, backup protection, etc. It was all about the data. I happened to be lucky and said, you know, I think there's something to this thing called NAS and sand and storage networks and all those things. And I also said we have to plan for fur on scale on our solution of a million X. Now it was only off a magnitude of about a thousand on that, but it was the right idea. You know, you had to build something to scale and, and we came in and we wanted to build a company. We didn't want to just flip a company but we thought there is a longterm vision in it and if you take it all the way to the present here it's, it's really, um, it's, it feels really good to see where the company came from. It's a great foundation and now it will propel off this foundation, um, with a similar vision with great modern execution and management. >>Yeah. Al, when we had the chance to talk with you last year at the show in Nashville, it was setting up for that change. So I want to get your view there. There are some things that the company was working on and are being continued, but there's some things that, you know, Bob hammer would not have happened under his regime. So want to get your viewpoint as to the new Convolt, you know, what, what is, what are some of those new things that are moving forward with the company that might not have in the previous days? >>Yeah, that's a good questions. Do I think Mo, a lot of the innovation that you've seen here, um, would have happened maybe not as quickly. Um, we, the company obviously acquired Hedvig. Uh, we were on a very similar path but to do it ourselves. So you had kind of been a modern, we need to get to market quicker with some real pros. I think, um, the, the evolution of redoing sales management essentially was probably the biggest shift that needed to be under a new regime, if you will. Yeah. >>So Miranda, making these transitions can be really tricky from a marketing standpoint. Talk, talk us through a bit, some of the, how do you make sure trusted yet innovative and new that you've accomplished at this show? >>Well, trust it is obviously the most important because the Bob, the brand that Bob and Al built really embodies reliability for what we provide to our customers. I mean that's what gives them the peace of mind to sleep at night. But I'll tell you, Sanjay has been with us for just eight months now, February of 2019 and it's been busy. We've done a lot of things from a points on J transition with Bob and now to his point we've, we've acquired Hedvig, we've introduced this new SAS portfolio and you're exactly right. What we need to do is make sure that the reliability that customers have come to rely on Convolt for translates into what we're doing with the new Convolt and I think we've done a really good job. We've put a lot of muscle behind making sure, particularly with metallic that it was tried, it was trusted, it was beta tested, we got input from customers, partners, industry influencers. We really built it around the customer. So I think the brand that comm brings will translate well into the things that we've done with these, with these new shifts and movements within the company >>on, on that questions too as well. Um, I think Miranda is a good example of somebody that was with the company before a tremendous talent. She's got new opportunities here and she's run with it. So it's kinda that balance of some, uh, understood the fundamentals and the way we're trying to run the business. And she's grasped the new world as well. So, >>and Rob as well, right? Robin in his new, >>yeah, that's another good point. So that was all part of the transitioning here and Sanjay and the team had been very careful on trying to keep that balance. >>Change is really difficult anywhere, right? Dissect to any element of life. And you look at a business that's been very successful, has built a very strong, reliable brand for 20 years. Big leadership changes, not just with Sanjay, but all of the leadership changes. You know, analysts said, all right, you've got to upgrade your Salesforce. We're seeing a lot of movement in the area. You got to enhance your marketing. We're seeing metallic has the new routes to market, new partner focus, so PSI focuses. We're also seeing this expansion in the market, so what folks were saying, you know a year ago come on is answering in a big way and to your point in a fast way that's not easy to do. You've been here nine years since the beginning. Can you give us a little bit of a perspective, Miranda, about some of the things that were announced at the show? >>How excited everybody is, customers, partners, combo folks. How do you now extend the message and the communications from go globally after the show ends? That's an awesome question. I'm really passionate about this. So you know, Monday we announced metallic, we announced a new head of channels and alliances and Mercer Rowe, we had crazy technology innovation announcements with activate, with the acceleration of the integration with Hedvig with the momentum release that we put out today. We're also doing cool stuff with our corporate social responsibility in terms of sponsoring the new business Avengers coalition. That's something that Chris Powell is really championing here at, at the show and also within combo. So we're very excited about that. And then when you add people like yourselves, you know the tech field day folks, because not everybody can be here, right? Not everybody can be at go. So being able to extend the opportunity for, for folks to participate in combo, go through things like the cube through things like tech field day and using our social media tools and just getting all of the good vibes that are here. Because as Al says, this really is an intimate show, but we try to extend that to anybody who wants to follow us, to anybody who wants to be a part of it. And that's something that we've really focused on the last couple of years to make sure that folks who aren't here can, can get an embrace the environment here at Commonweal go. >>It's such an important piece that you're here helping with the transition I talked about. It's important that some of the existing >>get new roles and do responsibility going forward. What's your role going to be and what should we expect to see from you personally? Somebody has got to mow the lawn. >>Yeah. >>But yes, do I, I'll stay on the board. Um, we're talking through that. I think I'll be a very active board, not just the legal side of the equation. Um, try and stay involved with customers and, and strategies and, and even, uh, potential acquisitions, those kinds of things. Um, I'm also wandering off into the university environment. Uh, my Alma mater is a university of Iowa. I'm on the board there and uh, I'm involved in setting up innovation centers and entrepreneurial programs and that kind of thing. Um, I'll keep doing my farming thing and uh, actually have some ideas on that. There's a lot of technology as you guys know, attacking Nat space. So, and like I said, I'll try to keep a lot of things linked back into a combo. >>What Al can have confidence in is that I will keep him busy. So there's that. And then I will also put on the table, we agree to disagree with our college athletic loyalties. So I'm a big kid just because we don't compete really. Right. So I mean, but if I won Kansas wherever to play, then we would just politely disagree. Yeah. Well that's good that you have this agreement in place. I would love to get some anecdotal feedback from you of some of the things that you've heard over the last three days with all this news, all these changes. What are you hearing from customers and partners who you've had relationships with for a very long time? >>I think they're, I think they're all really excited, but, and maybe I'm biased, but they liked the idea that we're trying to not throw out all the old focus on customers, focus on technologies, continue the innovation. I'm pleased that we, Miranda and the team started taking this theme of what we do to a personal level, you know, recovery and those kinds of things. It isn't just the money in the business outages. It's a really a effect on a personal lives. And that resonates. I hear that a lot. Um, I asked our bigger customers and they've loved us for our support, how we take care of them. The, the intimacy of the partnership, you know, and I think they feel pleased that that's staying yet there's lot of modern Emity if that's a good word. I think fokai was what you, I think it's the blend of things and I think that really excites people. >>We've heard that a lot. You guys did a great job with having customers on stage and as a marketer who does customer marketing programs, I think there's nothing more validating than the voice of a customer. But suddenly today that I thought was a pivot on that convo, did well as Sonic healthcare was on main stage. And then he came onto the program and I really liked how he talked about some of the failures that they've been through. You know, we had the NASA talking yesterday, NASA, 60 years young, very infamous, probably for failure is not an option, but it is a very real possibility whether you're talking about space flight or you're talking about data protection and cyber attacks and the rise of that. And it was really, I'd say, refreshing to hear the voice of a customer say, these are the areas in which we failed. This is how come they've helped us recover and how much better and stronger are they? Not just as a company as Sonic healthcare, but even as an individual person responsible for that. That was a really great message that you guys were able to extend to the audience today and we wanted to get that out. >>I loved that as well. I think that was good. I have also back on driving innovation, I always felt one of my biggest jobs was to not punish people that failed. Yeah. I, you know, with the whole engineering team, the bright people in marketing, I, I would be very down on them if they didn't try, but I never wanted them to feel bad about trying and never punish them. >>And one of the things Matthew said on main stage, first of all, I love him. He's great. He's been a longtime CommonWell supporter. I love his sense of humor. He said, you know, combo came to me and said, can you identify, you know, your biggest disaster recovery moment? And he was like, no, because there's so many. Yes. Right? Like there's so many when you're responsible for this. It's just the unpredictability of it is crazy. And so he couldn't identify one, but he had a series of anecdotes that I think really helped the audience identify with and understand this is, these are big time challenges that we're up against today. And hearing his use case and how con ball is helping him solve his heart problems, I think was really cool. You're right. I loved that too. He said, I couldn't name one. There are so many. That's reality, right? As data proliferates, which every industry is experiencing, there's a tremendous amount of opportunity. There's also great risk as technology advances for good. The bad actors also have access to that sort of technology. So his honesty, I thought was, was refreshing, but spot on. And what a great example for other customers to listen to the RA. To your point, I, if I punish people for failure, we're not going to learn from it. >>Yeah, you'll never move forward. >>Miranda. So much that we learn this week at the shows. Some, a lot of branding, a lot of customers, I know some people might be taking a couple of days off, but what should we expect to be seeing from con vault post go this year, >>continue to innovation. We're not letting our foot off the gas at all. Just continuing innovation as as as we integrate with Hedvig continued acceleration with metallic. I mean those guys are aggressive. They were built as a startup within an enterprise company built on Comvalt enterprise foundation. Those guys are often running, they are motivated, they're highly talented, highly skilled and they're going to market with a solution that is targeted at a specific market and those guys are really, really ready to go. So continued innovation with Hedvig integrate, sorry, integration with Hedvig with metallic. I think you're just going to be seeing a lot more from Combalt in the future on the heels of what we consider humbled, proud leadership with the Gartner magic quadrant. You know the one two punch with the Forrester wave. I think that you're just going to be seeing a lot more from Combalt and in terms of how we're really getting out there and aggressive. And that's not to mention Al, you know what we do with our core solutions. I mean today we just announced a bunch of enhancements to the core technology, which is, which is the bread and butter of, of what we do. So we're not letting the foot off the gas to be sure >>the team stay in really, really aggressive too. And the other thing I'd add as a major investor that I'm expecting is sales. Now I'd love to just your, your final thoughts that the culture of Convolt because while there's some acceleration and there's some change, I think some of the fundamentals stay the same. Yeah, it's, it's right to, and again, that's why I feel we're at a good point on this transition process. You alluded to it earlier, but I feel really good about the leadership that's in, they've treated me terrifically. I'm almost almost part of the team. I love that they're, they're trying to leverage off all the assets that were created in his company. Technology, obviously platform architecture, support base, our support capabilities. I, I told Sandy today I wish she really would have nailed the part about, and by the way, support and our capabilities with customers as a huge differentiator and it was part of our original, Stu knows he's heard me forever. Our original DNA, we wanted to focus on two things. Great technology, keep the great technology lead and customer support and satisfaction. So those elements, now you blend that stew with really terrific Salesforce. As Ricardo says, have you guys talk with Ricardo soon? But anyway, the head of sales is hiring great athletes, particularly for the enterprise space. Then you take it with a real terrific marketing organization that's focused, Oh, had modern techniques and analytics on all those things. You know, it's, it's in my opinion, as an investor especially, I'm expecting really good things >>bar's been set well. I can't think of a better way for Sue and me to our coverage owl veranda. Thank you. This has been fantastic. You've got to go. You get a lawn to mow, you've got a vacation to get onto and you need some wordsmithing would focus your rights. You have a flight ticket. They do five hours. Hi guys. Thank you. This has been awesome. Hashtag new comm vault for our guests and I, Lisa Martin, you've been watching the cubes coverage of Convault go and 19 we will see you next time.

Published Date : Oct 16 2019

SUMMARY :

Go 2019 brought to you by Combolt. So a lot of energy at this event and I don't think it has anything to do with our rarefied air here So owl, you have been with convo ball as I mentioned, co-founder. So I tell people I wasn't burdened with facts And I also said we have to plan for but there's some things that, you know, Bob hammer would not have happened under So you had kind of been a modern, we need to get to market quicker with some real pros. Talk, talk us through a bit, some of the, how do you make sure trusted yet innovative and new that the reliability that customers have come to rely on Convolt for translates into what example of somebody that was with the company before a tremendous So that was all part of the transitioning here and has the new routes to market, new partner focus, so PSI focuses. So you know, Monday we announced metallic, It's important that some of the existing going to be and what should we expect to see from you personally? There's a lot of technology as you guys know, I would love to get some anecdotal feedback from you of some of the things that you've heard over the last three days we do to a personal level, you know, recovery and those kinds of things. That was a really great message that you guys were able to extend to the audience today and we wanted I think that was good. And one of the things Matthew said on main stage, first of all, I love him. So much that we learn this week at the shows. on the heels of what we consider humbled, proud leadership with the Gartner magic So those elements, now you blend I can't think of a better way for Sue and me to our coverage owl

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Scott Pedram, ONE Gas | Pure Accelerate 2019


 

>> From Austin, Texas, it's theCUBE, covering Pure Storage Accelerate 2019, brought to you by Pure Storage. >> Welcome back to theCUBE, the leader in live tech coverage. Lisa Martin with Dave Vellante. We are in Austin, Texas for Pure Accelerate '19. And we're excited to be talking with another one of Pure's happy successful customers. We've got Scott Pedram, the storage architect from One Gas. Scott, welcome to theCUBE. >> Thank you for having me. >> So One Gas. Give our audience a little bit of an overview of what One Gas is, what regions you serve, and then dig into your role as a storage architect. >> Of course. So One Gas, we're a natural gas utility company. So we're the downstream, the inline. So we actually deliver the natural gas to our customers, residential and commercial. We operate across Texas, Oklahoma, and Kansas, and various regions including Austin. In my role as storage architect, I help, I mean, basically a one-man show. So design the storage, implement the storage, run the storage. And I also help out in other areas such as the servers, the DBAs, networking, kind of a little bit of everything. >> So you've been a Pure customer for about three years. We were talking before we went live. Give us an overview of your storage infrastructure, your IT environment three years ago, and what the impetus was to evaluate Pure. >> Sure. So we were previously an IBM storage shop. I had IBM SAN volume controller backed by DS 8000, FlashSystem 820s, Storwize V7000s, so different tiers of storage all being managed by VSPC. As is common, the warranty runs out on the DS 8000. So it's time to look at a forklift upgrade or whatever the case may be. I had a plan all in place to replace it with IBM, but we are a fully regulated utility company. So I did my due diligence and brought in some competitors. EMT and Pure Storage. Heard Pure's story, especially the Evergreen storage model, and the five and six year total cost of ownership was actually pretty close, but once you went beyond that, there was no contest. Pure won hands down. And again, as a utility company, we like predictable, flat costs. So the fact that we could do that and not have to have this multi-million dollar expense again in just another three or four years. >> So I got to ask you, so TCO, done a lot of TCO studies, and the biggest component of total cost of ownership is labor, humans. So presumably, you did a full TCO, you looked at it. I'm surprised to hear you say that the five-year TCO was about comparable because Pure is, the Kool-Aid injection says it's simpler. It's more modern. Wouldn't that save head count or at least FTE? >> It could if we were a more complex environment, but as it stood, there's me and one other guy kind of as my backup. So, you still have to have somebody to run it, right? >> So that's what I asked so sometimes CFO's will go, Wait a minute. If we're not going to reduce head count, I'm not going to accept that as part of the cost reduction. Is that what's going on here? Because we're going to shift labor to more high value activity so, oftentimes the CFO doesn't count that in his or her business case. Was that the case or did you find that because you're so small it really didn't matter in terms of the management complexity? I'm interested in your thoughts on that. >> We didn't background management complexity when we were calculating TCO. It was purely the cost to acquire the storage and then the maintenance. >> Oh, so there was no management cost? No human capital, okay. >> No. >> And so it's you and somebody else. >> Scott: Correct. >> Have you now spent less time managing the Pure than you did previously with the IBM? >> Oh, for sure. >> Okay. >> And when I first got it I was afraid, am I going to work myself out of a job? >> The Pure? >> 'Cause it was so easy. >> Okay, so, you had two FTE's managing storage. >> Scott: Yeah. >> What percent of your time, prior to Pure, did you spend managing storage versus doing other stuff? (Scott sighs) I mean a rough ballpark. >> Yeah, rough ballpark. >> Dave: Was it 50/50? >> I would say, I was maybe doing 60 to 70% doing just Pure storage before. And now it's 20? >> So you've gone from 60 to 70, let's call it 65% of your time was spent managing storage tuning, troubleshooting, provisioning LANs, provisioning more capacity, planning, all those things that, we love it. Down to 20%. >> Probably. >> Roughly. I'm not going to hold you to it, but. Well I guess we're live TV, so I will hold you to it. (Scott laughing) But that's a significant savings. You can calculate that over five years, right? Take your fully loaded costs and boom, that adds up. What have you done with that time? What are you now doing? I presume you're not just hanging out. >> No, my boss is watching. >> Publicly traded, regulated utility, somebody's watching right? >> No, of course not. No I've been able to be a lot more proactive. So helping out, like I said, with the server teams, the inward teams. Consulting them on looking further. What is our longterm goal or strategy? What's the five year plan, type of thing. Instead of just fighting fires all day. Or, you know, next week we have to deal with this performance issue that's going to be coming up. >> Dave: So you've been able to be more strategic. >> For sure. >> And one more question on this whole, there's intangibles there that everybody always overlooks, but actually when you live them they make a big difference. Has there been a quality effect? In other words, instead of putting out fires you're doing thing that are more strategic. Do you feel like you have better quality infrastructure? And does that affect your business? >> I would say better quality in the fact that it's more consistent. So we ended up sweeping the entire floor with all Pure Storage. So all of production and non-production, in our case, is all on Pure. So the consistency of the latency and the response times and the performance that you get out of the storage. There is no more performance problems. It doesn't exist. >> And in terms of workloads, I know you're running Splunk on FlashArray. Give us some picture of that infrastructure, the workloads that you're running on it. And the stakeholders I can imagine them in different departments and different functions within One Gas that are using this system and not even realizing it because it's just available, it's there. >> Before Splunk, real quick, we had one application, we went to Flash. They thought their processing was broken because it completed so quickly. (Lisa laughing) >> That's a good thought to have. >> Yeah. So they finished so fast they came back to us, it's broken, I'm like, no it's not. (he laughs) >> What's your use case with Splunk? >> With Splunk it started out as cybersecurity and that's kind of what brought it in, but it has since expanded to monitoring, analytics. We actually use it when we roll out our trucks to the field to ensure that we're meeting the SLAs. There's so many different areas where we use Splunk, I'd have to refer to my notes. >> So infrastructure ops has become this big thing, right? And automation and things of that nature? Or not quite there? >> Not so much automation yet. But we do have a plan, a project to start doing more automation. >> And other analytics, I presume? I mean, they're all about analytics, right? >> A lot of our application teams, like our web development team, they use Splunk a lot for their application monitoring and trying to be proactive on that. >> Thinking about the security use case. Security practitioners often tell us, well, we get inundated with incidents. We don't have the time to sort through them all. Does having Splunk on an all FlashArray, high performance all FlashArray, does it affect the response of the security team? Or how does it affect the business, the security side of the business? >> I'm not able to answer that directly, but I can say that I have seen them do a lot of select all type queries, where they're just searching for a needle in a haystack, type of thing. And previously when we had multi-tiered storage those queries took forever, but now that it's all Flash, it's really quick. >> So they spent more time waiting than they do now. I mean that could be a two edge sword. Maybe they more stuff to sift through now. (he laughs) That's somebody else's problem. >> Well the data security is critical because your dealing with customers' data, right? And almost every month we hear about data breaches in the public. Whether it's a bank, or it's a social media platform. Unfortunately they're becoming quite common. But when you're dealing with personal customer data that's a big concern. Some of the things we're hearing Pure talk about is what they're doing with data protection and data security. And also kind of this sift from not looking at data protection as an insurance policy as much as it's an asset because you have so much information, you're storing it for longer, more and more customers, more data. How is that that being reflected up the chain, even up your chain of command and to the executive folks in terms of being confident that what they have your customers data running on in those three states that you talked about, is on a very solid secure platform? >> Well, security, it requires multiple layers. So Pure having always-on encryption is a big help. So if we do have, you know, a failed module that has to be replaced. I don't have to worry about making sure that it's securely erased, destroyed, and all that. 'Cause without the encryption key it's virtually crypto erased. And then of course we have all the security agents on the servers and the applications and our security cyber team managers, all of that. >> And what about cloud? What do you do in cloud? What's the strategy? >> We do cloud where it makes sense. For instance ServiceNow and O365 we're customers to both of those. >> Dave: So SaaS stuff. >> And mostly SaaS. In my opinion doing cloud is doing a lift and shift. And using cloud as infrastructure as a service doesn't make a whole lot of sense. For us anyway. As a utility company we're very pro-capital. So if we just shift that to another provider that's all operational. >> Whereas, take ServiceNow for example and change the operational model. Right? And you had a clear business impact where it wasn't a lift an shift. It was a transformation really. >> Exactly. >> Where do you want to go with Pure and storage infrastructure? It's just like, I just want it to work. I want it to be rock solid, dirt cheap, highly available, you know, high performance, or are there things that you would like to see Pure do that can help drive your business? >> Well I think the announcement today of the FlashArray//C is what I'm probably most exited about, in that I've already asked my business partners to get me some pricing, some quotes on, can I use that for my backups as a back up target? Instead of, you know, the underlying SaaS datadisks. So that's exciting for me. The fact that it's going to be the same software that I'm used to, that's all a plus. >> How are you protecting your Flash arrays today? >> We're implementing Commvault right now So we do leverage Commvault. It's called IntelliSnap. So basically it does a Pure level snapshot and then we can mount that on our media agents. >> Okay, so, using FlashArray//C, that's the right model number, I think. So obviously you want to use Flash, if it's cost effective, for everything. If it's cheaper than spinning Disk why not use it? Do you see any advantage, in theory, for recovery speed? For sure, yeah, absolutely. I mean, if you need to do a fast recovery, I mean, it's on Flash. But with what I'm looking most forward to though is even the ingest of the data, the initial backups. If there's a lot of, you know querying and trying to figure out what's changed and what's not, that can be a lot of disk thrashing on traditional spindle drives. >> So let's look into the future a little bit before we wrap here. You've been a Pure customer for three years now. Presuming you've done some upgrades and swap outs of controllers in that time? >> Not quite yet. In the coming months we will have our first ever green controller swap. I've actually had a failed controller. So effectively the same process. Where one controller's down and didn't have any issues with performance or, >> No downtime, no disruption. >> No downtime. Absolutely not. Even upgrades where they, you know, take one controller down and upgrade it. I'll do those during business hours. >> Are you comfortable with the, go ahead, sorry. >> Just because there's no performance degradation whatsoever. >> So you're obviously comfortable with the architecture. You seem like a pretty happy customer. Some of the critics will say, it's a duel controller architecture, that doesn't bother you? >> No, not at all. (he laughs) >> I had to ask with a straight face. What would you like to see Pure do? If Charlie G. and Carl are sitting right here, what's the one thing that I could do to make your life easier, what would it be? Besides cutting price, you can't say cut price. >> Yeah. You know what, that's a great question. I think what I would have been asking for, top of mind, would have been the lower tier, what they came out with today, the C. >> You know, another criticism from some of the competitors is they don't have tiering. And when you talk to Pure about it they go, oh, we don't need tiering, we don't believe in tiering. What are your thoughts as a practitioner? Would you want to have a tiered array, like high performance Flash, lower in the same array? Or is this not something that is necessary? >> I don't think so. I go back to the consistency. You know we have all of production on Flash now and it's, I don't have to worry about performance. Whereas before I was constantly having to monitor and manage you know, is all the right stuff on the right tier, and it was a headache. >> So automated tiering wasn't so automated? Is that a fair statement? >> It worked fairly well, but there were some cases where it didn't. >> Yeah. So you're better just throwing it at Flash and it'll take care of itself. >> Yeah. >> Dave: Cool. >> So you've got a foundation now that's going to allow One Gas to evolve continually and we look forward to hearing in the next year or so when you go through that first big evergreen upgrade, how that goes. But it sounds like you've made the right choice and the foundation that you've got is pretty strong. And so many other layers of the business are benefiting and they don't even know it. Because as you said before, on of the constituents thought something was broken, it was that fast. >> Correct. >> So well done on your decision. >> Thank you. >> Thank you so much, Scott, for stopping by theCUBE and talking with Dave and me about what One Gas has been doing how you're succeeding and we look forward to hearing more of your success. >> Thank you. >> Dave: Great to have you, thanks. >> Scott: Appreciate it. >> For Dave Vellante. I'm Lisa Martin. You're watching theCUBE, from Pure Accelerate '19. (upbeat electronic music)

Published Date : Sep 17 2019

SUMMARY :

brought to you by Pure Storage. And we're excited to be talking with another of what One Gas is, what regions you serve, So design the storage, implement the storage, So you've been a Pure customer for about three years. So the fact that we could do that I'm surprised to hear you say that the five-year TCO So, you still have to have somebody to run it, right? Was that the case or did you find and then the maintenance. Oh, so there was no management cost? you had two FTE's managing storage. did you spend managing storage versus doing other stuff? I would say, I was maybe doing 60 to 70% So you've gone from 60 to 70, I'm not going to hold you to it, but. Or, you know, next week we have to deal And does that affect your business? and the performance that you get out of the storage. And the stakeholders I can imagine them we had one application, we went to Flash. So they finished so fast they came back to us, but it has since expanded to monitoring, analytics. to start doing more automation. and trying to be proactive on that. We don't have the time to sort through them all. I'm not able to answer that directly, but I can say I mean that could be a two edge sword. that you talked about, is on a very solid secure platform? So if we do have, you know, a failed module We do cloud where it makes sense. So if we just shift that to another provider and change the operational model. that you would like to see Pure do The fact that it's going to be the same software So we do leverage Commvault. So obviously you want to use Flash, So let's look into the future a little bit So effectively the same process. Even upgrades where they, you know, Just because there's no Some of the critics will say, No, not at all. I had to ask with a straight face. I think what I would have been asking for, top of mind, And when you talk to Pure about it they go, and manage you know, is all the right stuff where it didn't. So you're better just throwing it at Flash in the next year or so when you go through to hearing more of your success. I'm Lisa Martin.

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Brad Myles, Polaris | AWS Imagine Nonprofit 2019


 

>> Announcer: From Seattle, Washington, it's theCUBE! Covering AWS IMAGINE Nonprofit. Brought to you by Amazon Web Services. >> Hey, welcome back everybody, Jeff Frick here with theCUBE. We're in the waterfront in Seattle, Washington, it's absolutely gorgeous here the last couple of days. We're here for the AWS IMAGINE Nonprofit event. We were here a couple weeks ago for the education event, now they have a whole separate track for nonprofits, and what's really cool about nonprofits is these people, these companies are attacking very, very big, ugly problems. It's not advertising, it's not click here and get something, these are big things, and one of the biggest issues is human trafficking. You probably hear a lot about it, it's way bigger than I ever thought it was, and we're really excited to have an expert in the field that, again, is using the power of AWS technology as well as their organization to help fight this cause. And we're excited to have Brad Myles, he is the CEO of Polaris and just coming off a keynote, we're hearing all about your keynote. So Brad, first off, welcome. >> Yeah, well thank you, thank you for having me. >> Absolutely, so Polaris, give us a little bit about kind of what's the mission for people that aren't familiar with the company. >> Yeah, so Polaris, we are a nonprofit that works full-time on this issue. We both combat the issue and try to get to long-term solutions, and respond to the issue and restore freedom to survivors by operating the National Human Trafficking Hotline for the United States, so, it's part kind of big data and long-term solutions, and it's part responding to day-to-day cases that break across the country every day. >> Right, in preparing for this interview and spending some time on the site there was just some amazing things that just jump right off the page. 24.9 million people are involved in this. Is that just domestically here in the States, or is that globally? >> That's a global number. So when you're thinking about human trafficking, think about three buckets. The first bucket is any child, 17 or younger, being exploited in the commercial sex trade. The second bucket is any adult, 18 or over, who's in the sex trade by force, fraud, or coercion. And the third bucket is anyone forced to work in some sort of other labor or service industry by force, fraud, or coercion. So you've got the child sex trafficking bucket, you've got the adult sex trafficking bucket, and then you've got all the labor trafficking bucket, right? You add up those three buckets globally, that's the number that the International Labour Organization came out and said 25 million around the world are those three buckets in a given year. >> Right, and I think again, going through the website, some of the just crazy discoveries, it's the child sex trafficking you can kind of understand that that's part of the problem, the adult sex trafficking. But you had like 25 different human trafficking business models, I forget the term that was used, for a whole host of things well beyond just the sex trade. It's a very big and unfortunately mature industry. >> Totally, yeah, so we, so the first thing that we do that we're kind of known for is operating the National Human Trafficking Hotline. The National Human Trafficking Hotline leads to having a giant data set on trafficking, it's 50,000 cases of trafficking that we've worked on. So then we analyzed that data set and came to the breakthrough conclusion that there are these 25 major forms, and almost any single call that we get in to the National Hotline is going to be one of those 25 types. And once you know that then the problem doesn't seem so overwhelming, it's not, you know, thousands of different types, it's these 25 things, so, it's 18 labor trafficking types and seven sex trafficking types. And it enables a little bit more granular analysis than just saying sex trafficking or labor trafficking which is kind of too broad and general. Let's get really specific about it, we're talking about these late night janitors, or we're talking about these people in agriculture, or we're talking about these women in illicit massage businesses. It enables the conversation to get more focused. >> Right, it's so interesting right, that's such a big piece of the big data trend that we see all over the place, right? It used to be, you know, you had old data, a sample of old data that you took an aggregate of and worked off the averages. And now, because of big data, and the other tools that we have today, now actually you can work on individual cases. So as you look at it from a kind of a big data point of view, what are some of the things that you're able to do? And that lead directly to, everyone's talking about the presentation that you just got off of, in terms of training people to look for specific behaviors that fit the patterns, so you can start to break some of these cases. >> Exactly, so, I think that the human trafficking field risks being too generic. So if you're just saying to the populace, "Look for trafficking, look for someone who's scared." People are like, that's not enough, that's too vague, it's kind of slipping through my fingers. But if you say, "In this particular type of trafficking, "with traveling magazine sales crews, "if someone comes to your door "trying to sell you a magazine with these specific signs." So now instead of talking about general red flag indicators across all 25 types, we're coming up with red flag indicators for each of the 25 types. So instead of speaking in aggregate we're getting really specific, it's almost like specific gene therapy. And the data analysis on our data set is enabling that to happen, which makes the trafficking field smarter, we could get smarter about where victims are recruited from, we could get smarter about intervention points, and we could get smarter about where survivors might have a moment to kind of get help and get out. >> Right, so I got to dig into the magazine salesperson, 'cause I think we've all had the kid-- >> Brad: Have you had a kid come to you yet? >> Absolutely, and you know, you think first they're hustlin' but their papers are kind of torn up, and they've got their little certificate, certification. How does that business model work? >> Yeah, so that's one of the 25 types, they're called mag crews. There was a New York Times article written by a journalist named Ian Urbina who really studied this and it came out a number of years ago. Then they made a movie about it called "American Honey," if you watch with a number of stars. But essentially this is a very long-standing business model, it goes back 30 or 40 years of like the door-to-door salesperson, and like trying to win sympathy from people going to door-to-door sales. And then these kind of predatory groups decided to prey on disaffected U.S. citizen youth that are kind of bored, or are kind of working a low-wage job. And so they go up to these kids and they say, "Tired of working at the Waffle House? "Well why don't you join our crew and travel the country, "and party every night, and you'll be outdoors every day, "and it's coed, you get to hang out with girls, "you get to hang out with guys, "we'll drink every night and all you have to do "is sell magazines during the day." And it's kind of this alluring pitch, and then the crews turn violent, and there's sometimes quotas on the crew, there's sometimes coercion on the crew. We get a lot of calls from kids who are abandoned by the crew. Where the crew says, "If you act up "or if you don't adhere to our rules, "we'll just drive away and leave you in this city." >> Wherever. >> Is the crews are very mobile they have this whole language, they call it kind of jumping territory. So they'll drive from like Kansas City to a nearby state, and we'll get this call from this kid, they're like, "I'm totally homeless, my crew just left me behind "because I kind of didn't obey one of the rules." So a lot of people, when they think of human trafficking they're not thinking of like U.S. citizen kids knocking on your door. And we're not saying that every single magazine crew is human trafficking, but we are saying that if there's force, and coercion, and fraud, and lies, and people feel like they can't leave, and people feel like they're being coerced to work, this is actually a form of human trafficking of U.S. citizen youth which is not very well-known but we hear about it on the Hotline quite a lot. >> Right, so then I wonder if you could tell us more about the Delta story 'cause most of the people that are going to be watching this interview weren't here today to hear your keynote. So I wonder if you can explain kind of that whole process where you identified a specific situation, you train people that are in a position to make a difference and in fact they're making a big difference. >> Yeah. So the first big report that we released based on the Hotline data was the 25 types, right? We decided to do a followup to that called Intersections, where we reached out to survivors of trafficking and we said, "Can you tell us about "the legitimate businesses that your trafficker used "while you were being trafficked?" And all these survivors were like, "Yeah, sure, "we'll tell you about social media, "we'll tell you about transportation, "we'll tell you about banks, "we'll tell you about hotels." And so we then identified these six major industries that traffickers use that are using legitimate companies, like rental car companies, and airlines, and ridesharing companies. So then we reached out to a number of those corporate partners and said, "You don't want this stuff on your services, right?" And Delta really just jumped at this, they were just like, "We take this incredibly seriously. "We want our whole workforce trained. "We don't want any trafficker to feel like "they can kind of get away with it on our flights. "We want to be a leader in transportation." And then they began taking all these steps. Their CEO, Ed Bastian, took it very seriously. They launched a whole corporate-wide taskforce across departments, they hosted listening sessions with survivor leaders so survivors could coach them, and then they started launching this whole strategy around training their flight attendants, and then training their whole workforce, and then supporting the National Human Trafficking Hotline, they made some monetary donations to Polaris. We get situations on the Hotline where someone is in a dangerous situation and needs to be flown across the country, like an escape flight almost, and Delta donated SkyMiles for us to give to survivors who are trying to flee a situation, who needs a flight. They can go to an airport and get on a flight for free that will fly them across the country. So it's almost like a modern day Underground Railroad, kind of flying people on planes. >> Jeff: Right, right. >> So they've just been an amazing partner, and they even then took the bold step of saying, "Well let's air a PSA on our flights "so the customer base can see this." So when you're on a Delta flight you'll see this PSA about human trafficking. And it just kept going and going and going. So it's now been about a five-year partnership and lots of great work together. >> And catching bad guys. >> Yeah, I mean, their publicity of the National Human Trafficking Hotline has led to a major increase in calls. Airport signage, more employees looking for it, and I actually do believe that the notion of flying, if you're going to be a trafficker, flying on a Delta flight is now a much more harrowing experience because everyone's kind of trained, and eyes and ears are looking. So you're going to pivot towards another airline that hasn't done that training yet, which now speaks to the need that once one member of an industry steps up, all different members of the industry need to follow suit. So we're encouraging a lot of the other airlines to do similar training and we're seeing some others do that, which is great. >> Yeah, and how much of it was from the CEO, or did he kind of come on after the fact, or was there kind of a champion catalyst that was pushing this through the organization, or is that often the case, or what do you find in terms of adoption of a company to help you on your mission? >> That's a great question. I mean, the bigger picture here is trafficking is a $150 billion industry, right? A group of small nonprofits and cops are not going to solve it on their own. We need the big businesses to enter the fight, because the big businesses have the resources, they have the brand, they have the customer base, they have the scale to make it a fair fight, right? So in the past few years we're seeing big businesses really enter the fight against trafficking, whether or not that's big data companies like AWS, whether or not that's social media companies, Facebook, whether or not that's hotel companies, like Wyndham and Marriott, airlines like Delta. And that's great because now the big hitters are joining the trafficking fight, and it happens in different ways, sometimes it's CEO-led, I think in the case of Delta, Ed Bastian really does take this issue very seriously, he was hosting events on this at his home, he's hosted roundtables of other CEOs in the Atlanta area like UPS, and Chick-fil-A, and Home Depot, and Coca-Cola, all those Atlanta-based CEOs know each other well, he'll host roundtables about that, and I think it was kind of CEO-led. But in other corporations it's one die hard champion who might be like a mid-level employee, or a director, who just says, "We really got to do this," and then they drive more CEO attention. So we've seen it happen both ways, whether or not it's top-down, or kind of middle-driven-up. But the big picture is if we could get some of the biggest corporations in the world to take this issue seriously, to ask questions about who they contract with, to ask questions about what's in their supply chain, to educate their workforce, to talk about this in front of their millions of customers, it just puts the fight against trafficking on steroids than a group of nonprofits would be able to do alone. So I think we're in a whole different realm of the fight now that business is at the table. >> And is that pretty much your strategy in terms of where you get the leverage, do you think? Is to execute via a lot of these well-resourced companies that are at this intersection point, I think that's a really interesting way to address the problem. >> Yeah, well, it's back to the 25 types, right? So the strategies depend on type. Like, I don't think big businesses being at the table are necessarily going to solve magazine sales crews, right? They're not necessarily going to solve begging on the street. But they can solve late night janitors that sometimes are trafficked, where lots of big companies are contracting with late night janitorial crews, and they come at 2:00 a.m., and they buff the floors, and they kind of change out the trash, and no one's there in the office building to see those workers, right? And so asking different questions of who you procure contracts with, to say, "Hey, before we contract with you guys, "we're going to need to ask you a couple questions "about where these workers got here, "and what these workers thought they were coming to do, "and we need to ID these workers." The person holding the purse strings, who's buying that contract, has the power to demand the conditions of that contract. Especially in agriculture and large retail buyers. So I think that big corporations, it's definitely part of the strategy for certain types, it's not going to solve other types of trafficking. But let's say banks and financial institutions, if they start asking different questions of who's banking with them, just like they've done with terrorism financing they could wipe out trafficking financing, could actually play a gigantic role in changing the course of how that type of trafficking exists. >> So we could talk all day, I'm sure, but we don't have time, but I'm just curious, what should people do, A, if they just see something suspicious, you know, reach out to one of these kids selling magazines, or begging on the street, or looking suspicious at an airport, so, A, that's the question. And then two, if people want to get involved more generically, whether in their company, or personally, how do they get involved? >> Yeah, so there are thousands of nonprofit groups across the country, Polaris is in touch with 3,000 of them. We're one of thousands. I would say find an organization in your area that you care about and volunteer, get involved, donate, figure out what they need. Our website is polarisproject.org, we have a national Referral Directory of organizations across the country, and so that's one way. The other way is the National Human Trafficking Hotline, the number, 1-888-373-7888. The Hotline depends on either survivors calling in directly as a lifeline, or community members calling in who saw something suspicious. So we get lots of calls from people who were getting their nails done, and the woman was crying and talking about how she's not being paid, or people who are out to eat as a family and they see something in the restaurant, or people who are traveling and they see something that doesn't make, kind of, quite sense in a hotel or an airport. So we need an army of eyes and ears calling tips into the National Human Trafficking Hotline and identifying these cases, and we need survivors to know the number themselves too so that they can call in on their own behalf. We need to respond to the problem in the short-term, help get these people connected to help, and then we need to do the long-term solutions which involves data, and business, and changing business practice, and all of that. But I do think that if people want to kind of educate themselves, polarisproject.org, there are some kind of meta-organizations, there's a group called Freedom United that's kind of starting a grassroots movement against trafficking, freedomunited.org. So lots of great organizations to look into, and this is a bipartisan issue, this is an issue that most people care about, it's one of the top headlines in the newspapers every day these days. And it's something that I think people in this country naturally care about because it references kind of the history of chattel slavery, and some of those forms of slavery that morphed but never really went away, and we're still fighting that same fight today. >> In terms of, you know, we're here at AWS IMAGINE, and they're obviously putting a lot of resources behind this, Teresa Carlson and the team. How are you using them, have you always been on AWS? Has that platform enabled you to accomplish your mission better? >> Yeah, oh for sure, I mean, Polaris crunches over 60 terabytes of data per day, of just like the computing that we're doing, right? >> Jeff: And what types of data are you crunching? >> It's the data associated with Hotline calls, we collect up to 150 variables on each Hotline call. The Hotline calls come in, we have this data set of 50,000 cases of trafficking with very sensitive data, and the protections of that data, the cybersecurity associated with that data, the storage of that data. So since 2017, Polaris has been in existence since 2002, so we're in our 17th year now, but starting three years ago in 2017 we started really partnering with AWS, where we're migrating more of our data onto AWS, building some AI tools with AWS to help us process Hotline calls more efficiently. And then talking about potentially moving our, all of our data storage onto AWS so that we don't have our own server racks in our office, we still need to go through a number of steps to get there. But having AWS at the table, and then talking about the Impact Computing team and this, like, real big data crunching of like millions of trafficking cases globally, we haven't even started talking about that yet but I think that's like a next stage. So for now, it's getting our data stronger, more secure, building some of those AI bots to help us with our work, and then potentially considering us moving completely serverless, and all of those things are conversations we're having with AWS, and thrilled that AWS is making this an issue to the point that it was prioritized and featured at this conference, which was a big deal, to get in front of the whole audience and do a keynote, and we're very, very grateful for that. >> And you mentioned there's so many organizations involved, are you guys doing data aggregation, data consolidation, sharing, I mean there must be with so many organizations, that adds a lot of complexity, and a lot of data silos, to steal classic kind of IT terms. Are you working towards some kind of unification around that, or how does that look in the future? >> We would love to get to the point where different organizations are sharing their data set. We'd love to get to the point where different organizations are using, like, a shared case management tool, and collecting the same data so it's apples to apples. There are different organizations, like, Thorn is doing some amazing big data-- >> Jeff: Right, we've had Thorn on a couple of times. >> How do we merge Polaris's data set with Thorn's data set? We're not doing that yet, right? I think we're only doing baby steps. But I think the AWS platform could enable potentially a merger of Thorn's data with Polaris's data in some sort of data lake, right? So that's a great idea, we would love to get to that. I think the field isn't there yet. The field has kind of been, like, tech-starved for a number of years, but in the past five years has made a lot of progress. The field is mostly kind of small shelters and groups responding to survivors, and so this notion of like infusing the trafficking field with data is somewhat of a new concept, but it's enabling us to think much bigger about what's possible. >> Well Brad, again, we could go on all day, you know, really thankful for what you're doing for a whole lot of people that we don't see, or maybe we see and we're not noticing, so thank you for that, and uh. >> Absolutely. >> Look forward to catching up when you move the ball a little bit further down the field. >> Yeah, thank you for having me on. It's a pleasure to be here. >> All right, my pleasure. He's Brad, I'm Jeff, you're watching theCUBE. We're at AWS IMAGINE Nonprofits, thanks for watching, we'll see you next time. (futuristic music)

Published Date : Aug 13 2019

SUMMARY :

Brought to you by Amazon Web Services. and one of the biggest issues is human trafficking. for people that aren't familiar with the company. and it's part responding to day-to-day cases Is that just domestically here in the States, And the third bucket is anyone forced to work it's the child sex trafficking you can kind of understand so the first thing that we do that we're kind of known for and the other tools that we have today, for each of the 25 types. Absolutely, and you know, you think first they're hustlin' Where the crew says, "If you act up "because I kind of didn't obey one of the rules." most of the people that are going to be watching this interview So the first big report that we released and lots of great work together. all different members of the industry need to follow suit. We need the big businesses to enter the fight, in terms of where you get the leverage, do you think? So the strategies depend on type. or begging on the street, and the woman was crying Teresa Carlson and the team. and the protections of that data, and a lot of data silos, to steal classic kind of IT terms. and collecting the same data so it's apples to apples. and groups responding to survivors, Well Brad, again, we could go on all day, you know, when you move the ball a little bit further down the field. It's a pleasure to be here. thanks for watching, we'll see you next time.

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Gokula Mishra | MIT CDOIQ 2019


 

>> From Cambridge, Massachusetts, it's theCUBE covering MIT Chief Data Officer and Information Quality Symposium 2019 brought to you by SiliconANGLE Media. (upbeat techno music) >> Hi everybody, welcome back to Cambridge, Massachusetts. You're watching theCUBE, the leader in tech coverage. We go out to the events. We extract the signal from the noise, and we're here at the MIT CDOIQ Conference, Chief Data Officer Information Quality Conference. It is the 13th year here at the Tang building. We've outgrown this building and have to move next year. It's fire marshal full. Gokula Mishra is here. He is the Senior Director of Global Data and Analytics and Supply Chain-- >> Formerly. Former, former Senior Director. >> Former! I'm sorry. It's former Senior Director of Global Data Analytics and Supply Chain at McDonald's. Oh, I didn't know that. I apologize my friend. Well, welcome back to theCUBE. We met when you were at Oracle doing data. So you've left that, you're on to your next big thing. >> Yes, thinking through it. >> Fantastic, now let's start with your career. You've had, so you just recently left McDonald's. I met you when you were at Oracle, so you cut over to the dark side for a while, and then before that, I mean, you've been a practitioner all your life, so take us through sort of your background. >> Yeah, I mean my beginning was really with a company called Tata Burroughs. Those days we did not have a lot of work getting done in India. We used to send people to U.S. so I was one of the pioneers of the whole industry, coming here and working on very interesting projects. But I was lucky to be working on mostly data analytics related work, joined a great company called CS Associates. I did my Master's at Northwestern. In fact, my thesis was intelligent databases. So, building AI into the databases and from there on I have been with Booz Allen, Oracle, HP, TransUnion, I also run my own company, and Sierra Atlantic, which is part of Hitachi, and McDonald's. >> Awesome, so let's talk about use of data. It's evolved dramatically as we know. One of the themes in this conference over the years has been sort of, I said yesterday, the Chief Data Officer role emerged from the ashes of sort of governance, kind of back office information quality compliance, and then ascended with the tailwind of the Big Data meme, and it's kind of come full circle. People are realizing actually to get value out of data, you have to have information quality. So those two worlds have collided together, and you've also seen the ascendancy of the Chief Digital Officer who has really taken a front and center role in some of the more strategic and revenue generating initiatives, and in some ways the Chief Data Officer has been a supporting role to that, providing the quality, providing the compliance, the governance, and the data modeling and analytics, and a component of it. First of all, is that a fair assessment? How do you see the way in which the use of data has evolved over the last 10 years? >> So to me, primarily, the use of data was, in my mind, mostly around financial reporting. So, anything that companies needed to run their company, any metrics they needed, any data they needed. So, if you look at all the reporting that used to happen it's primarily around metrics that are financials, whether it's around finances around operations, finances around marketing effort, finances around reporting if it's a public company reporting to the market. That's where the focus was, and so therefore a lot of the data that was not needed for financial reporting was what we call nowadays dark data. This is data we collect but don't do anything with it. Then, as the capability of the computing, and the storage, and new technologies, and new techniques evolve, and are able to handle more variety and more volume of data, then people quickly realize how much potential they have in the other data outside of the financial reporting data that they can utilize too. So, some of the pioneers leverage that and actually improved a lot in their efficiency of operations, came out with innovation. You know, GE comes to mind as one of the companies that actually leverage data early on, and number of other companies. Obviously, you look at today data has been, it's defining some of the multi-billion dollar company and all they have is data. >> Well, Facebook, Google, Amazon, Microsoft. >> Exactly. >> Apple, I mean Apple obviously makes stuff, but those other companies, they're data companies. I mean largely, and those five companies have the highest market value on the U.S. stock exchange. They've surpassed all the other big leaders, even Berkshire Hathaway. >> So now, what is happening is because the market changes, the forces that are changing the behavior of our consumers and customers, which I talked about which is everyone now is digitally engaging with each other. What that does is all the experiences now are being captured digitally, all the services are being captured digitally, all the products are creating a lot of digital exhaust of data and so now companies have to pay attention to engage with their customers and partners digitally. Therefore, they have to make sure that they're leveraging data and analytics in doing so. The other thing that has changed is the time to decision to the time to act on the data inside that you get is shrinking, and shrinking, and shrinking, so a lot more decision-making is now going real time. Therefore, you have a situation now, you have the capability, you have the technology, you have the data now, you have to make sure that you convert that in what I call programmatic kind of data decision-making. Obviously, there are people involved in more strategic decision-making. So, that's more manual, but at the operational level, it's going more programmatic decision-making. >> Okay, I want to talk, By the way, I've seen a stat, I don't know if you can confirm this, that 80% of the data that's out there today is dark data or it's data that's behind a firewall or not searchable, not open to Google's crawlers. So, there's a lot of value there-- >> So, I would say that percent is declining over time as companies have realized the value of data. So, more and more companies are removing the silos, bringing those dark data out. I think the key to that is companies being able to value their data, and as soon as they are able to value their data, they are able to leverage a lot of the data. I still believe there's a large percent still not used or accessed in companies. >> Well, and of course you talked a lot about data monetization. Doug Laney, who's an expert in that topic, we had Doug on a couple years ago when he, just after, he wrote Infonomics. He was on yesterday. He's got a very detailed prescription as to, he makes strong cases as to why data should be valued like an asset. I don't think anybody really disagrees with that, but then he gave kind of a how-to-do-it, which will, somewhat, make your eyes bleed, but it was really well thought out, as you know. But you talked a lot about data monetization, you talked about a number of ways in which data can contribute to monetization. Revenue, cost reduction, efficiency, risk, and innovation. Revenue and cost is obvious. I mean, that's where the starting point is. Efficiency is interesting. I look at efficiency as kind of a doing more with less but it's sort of a cost reduction, but explain why it's not in the cost bucket, it's different. >> So, it is first starts with doing what we do today cheaper, better, faster, and doing more comes after that because if you don't understand, and data is the way to understand how your current processes work, you will not take the first step. So, to take the first step is to understand how can I do this process faster, and then you focus on cheaper, and then you focus on better. Of course, faster is because of some of the market forces and customer behavior that's driving you to do that process faster. >> Okay, and then the other one was risk reduction. I think that makes a lot of sense here. Actually, let me go back. So, one of the key pieces of it, of efficiency is time to value. So, if you can compress the time, or accelerate the time and you get the value that means more cash in house faster, whether it's cost reduction or-- >> And the other aspect you look at is, can you automate more of the processes, and in that way it can be faster. >> And that hits the income statement as well because you're reducing headcount cost of your, maybe not reducing headcount cost, but you're getting more out of different, out ahead you're reallocating them to more strategic initiatives. Everybody says that but the reality is you hire less people because you just automated. And then, risk reduction, so the degree to which you can lower your expected loss. That's just instead thinking in insurance terms, that's tangible value so certainly to large corporations, but even midsize and small corporations. Innovation, I thought was a good one, but maybe you could use an example of, give us an example of how in your career you've seen data contribute to innovation. >> So, I'll give an example of oil and gas industry. If you look at speed of innovation in the oil and gas industry, they were all paper-based. I don't know how much you know about drilling. A lot of the assets that goes into figuring out where to drill, how to drill, and actually drilling and then taking the oil or gas out, and of course selling it to make money. All of those processes were paper based. So, if you can imagine trying to optimize a paper-based innovation, it's very hard. Not only that, it's very, very by itself because it's on paper, it's in someone's drawer or file. So, it's siloed by design and so one thing that the industry has gone through, they recognize that they have to optimize the processes to be better, to innovate, to find, for example, shale gas was a result output of digitizing the processes because otherwise you can't drill faster, cheaper, better to leverage the shale gas drilling that they did. So, the industry went through actually digitizing a lot of the paper assets. So, they went from not having data to knowingly creating the data that they can use to optimize the process and then in the process they're innovating new ways to drill the oil well cheaper, better, faster. >> In the early days of oil exploration in the U.S. go back to the Osage Indian tribe in northern Oklahoma, and they brilliantly, when they got shuttled around, they pushed him out of Kansas and they negotiated with the U.S. government that they maintain the mineral rights and so they became very, very wealthy. In fact, at one point they were the wealthiest per capita individuals in the entire world, and they used to hold auctions for various drilling rights. So, it was all gut feel, all the oil barons would train in, and they would have an auction, and it was, again, it was gut feel as to which areas were the best, and then of course they evolved, you remember it used to be you drill a little hole, no oil, drill a hole, no oil, drill a hole. >> You know how much that cost? >> Yeah, the expense is enormous right? >> It can vary from 10 to 20 million dollars. >> Just a giant expense. So, now today fast-forward to this century, and you're seeing much more sophisticated-- >> Yeah, I can give you another example in pharmaceutical. They develop new drugs, it's a long process. So, one of the initial process is to figure out what molecules this would be exploring in the next step, and you could have thousand different combination of molecules that could treat a particular condition, and now they with digitization and data analytics, they're able to do this in a virtual world, kind of creating a virtual lab where they can test out thousands of molecules. And then, once they can bring it down to a fewer, then the physical aspect of that starts. Think about innovation really shrinking their processes. >> All right, well I want to say this about clouds. You made the statement in your keynote that how many people out there think cloud is cheaper, or maybe you even said cheap, but cheaper I inferred cheaper than an on-prem, and so it was a loaded question so nobody put their hand up they're afraid, but I put my hand up because we don't have any IT. We used to have IT. It was a nightmare. So, for us it's better but in your experience, I think I'm inferring correctly that you had meant cheaper than on-prem, and certainly we talked to many practitioners who have large systems that when they lift and shift to the cloud, they don't change their operating model, they don't really change anything, they get a bill at the end of the month, and they go "What did this really do for us?" And I think that's what you mean-- >> So what I mean, let me make it clear, is that there are certain use cases that cloud is and, as you saw, that people did raise their hand saying "Yeah, I have use cases where cloud is cheaper." I think you need to look at the whole thing. Cost is one aspect. The flexibility and agility of being able to do things is another aspect. For example, if you have a situation where your stakeholder want to do something for three weeks, and they need five times the computing power, and the data that they are buying from outside to do that experiment. Now, imagine doing that in a physical war. It's going to take a long time just to procure and get the physical boxes, and then you'll be able to do it. In cloud, you can enable that, you can get GPUs depending on what problem we are trying to solve. That's another benefit. You can get the fit for purpose computing environment to that and so there are a lot of flexibility, agility all of that. It's a new way of managing it so people need to pay attention to the cost because it will add to the cost. The other thing I will point out is that if you go to the public cloud, because they make it cheaper, because they have hundreds and thousands of this canned CPU. This much computing power, this much memory, this much disk, this much connectivity, and they build thousands of them, and that's why it's cheaper. Well, if your need is something that's very unique and they don't have it, that's when it becomes a problem. Either you need more of those and the cost will be higher. So, now we are getting to the IOT war. The volume of data is growing so much, and the type of processing that you need to do is becoming more real-time, and you can't just move all this bulk of data, and then bring it back, and move the data back and forth. You need a special type of computing, which is at the, what Amazon calls it, adds computing. And the industry is kind of trying to design it. So, that is an example of hybrid computing evolving out of a cloud or out of the necessity that you need special purpose computing environment to deal with new situations, and all of it can't be in the cloud. >> I mean, I would argue, well I guess Microsoft with Azure Stack was kind of the first, although not really. Now, they're there but I would say Oracle, your former company, was the first one to say "Okay, we're going to put the exact same infrastructure on prem as we have in the public cloud." Oracle, I would say, was the first to truly do that-- >> They were doing hybrid computing. >> You now see Amazon with outposts has done the same, Google kind of has similar approach as Azure, and so it's clear that hybrid is here to stay, at least for some period of time. I think the cloud guys probably believe that ultimately it's all going to go to the cloud. We'll see it's going to be a long, long time before that happens. Okay! I'll give you last thoughts on this conference. You've been here before? Or is this your first one? >> This is my first one. >> Okay, so your takeaways, your thoughts, things you might-- >> I am very impressed. I'm a practitioner and finding so many practitioners coming from so many different backgrounds and industries. It's very, very enlightening to listen to their journey, their story, their learnings in terms of what works and what doesn't work. It is really invaluable. >> Yeah, I tell you this, it's always a highlight of our season and Gokula, thank you very much for coming on theCUBE. It was great to see you. >> Thank you. >> You're welcome. All right, keep it right there everybody. We'll be back with our next guest, Dave Vellante. Paul Gillin is in the house. You're watching theCUBE from MIT. Be right back! (upbeat techno music)

Published Date : Aug 1 2019

SUMMARY :

brought to you by SiliconANGLE Media. He is the Senior Director of Global Data and Analytics Former, former Senior Director. We met when you were at Oracle doing data. I met you when you were at Oracle, of the pioneers of the whole industry, and the data modeling and analytics, So, if you look at all the reporting that used to happen the highest market value on the U.S. stock exchange. So, that's more manual, but at the operational level, that 80% of the data that's out there today and as soon as they are able to value their data, Well, and of course you talked a lot and data is the way to understand or accelerate the time and you get the value And the other aspect you look at is, Everybody says that but the reality is you hire and of course selling it to make money. the mineral rights and so they became very, very wealthy. and you're seeing much more sophisticated-- So, one of the initial process is to figure out And I think that's what you mean-- and the type of processing that you need to do I mean, I would argue, and so it's clear that hybrid is here to stay, and what doesn't work. Yeah, I tell you this, Paul Gillin is in the house.

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Matt Kobe, Chicago Bulls | MIT CDOIQ 2019


 

>> 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 M. I. T. In Cambridge, Massachusetts. Everybody You're watching The Cube, the Leader and Live Tech coverage. My name is Dave Volante, and it's my pleasure to introduce Matt Kobe, who's the vice president of business strategy Analytics of Chicago Bulls. We love talking sports. We love talking data. Matt. Thanks for coming on. >> No problem getting a date. So talk about >> your role. Is the head of analytics for the Bulls? >> Sure. So I work exclusively on the business side of the operation. So we have a separate team that those the basketball side, which is kind of your players stuff. But on the business side, um, what we're focused on is really two things. One is being essentially internal consultants for the rest of the customer facing functions. So we work a lot with ticketing, allow its sponsorship, um, marketing digital, all of those folks that engage with our customer base and then on the backside back end of it, we're building out the technical infrastructure for the organization right. So everything from data warehouse to C. R M to email marketing All of that sits with my team. And so we were a lot of hats, which is exciting. But at the end of the day, we're trying to use data to enhance the customer and fan experience. Um and that's our aim. And that's what we're driving towards >> success in sports. In a larger respect. It's come down to don't be offended by this. Who's got the best geeks? So now your side of the house is not about like you say, player performance about the business performances. But that's it. That's a big part of getting the best players. I mean, if it's successful and all the nuances of the N B, A salary cap and everything else, but I think there is one, and so that makes it even more important. But you're helping fund. You know that in various ways, but so are the other two teams that completely separate. Is there a Chinese wall between them? Are you part of the sort of same group? >> Um, we're pretty separate. So the basketball folks do their thing. The business folks do their thing from an analytic standpoint. We meet and we collaborate on tools and other methods of actually doing the analysis. But in terms of, um, the analysis itself, there is a little bit of separation there, and mainly that is from priority standpoint. Obviously, the basketball stuff is the most important stuff. And so if we're working on both sides that we'd always be doing the basketball stuff and the business stuff needs to get done, >> drag you into exactly okay. But which came first? The chicken or the egg was It was the sort of post Moneyball activity applied to the N B. A. And I want to ask you a question about that. And then somebody said, Hey, we should do this for the business side. Or was the business side of sort of always there? >> I think I think, the business side and probably the last 5 to 7 years you've really seen it grown. So if you look at the N. B. A. I've been with the Bulls for five years. If you look at the N. B. A. 78 years ago, there was a handful of Business analytics teams and those those teams had one or two people at him. Now every single team in the NBA has some sort of business analytics team, and the average staff is seven. So my staff is six full time folks pushed myself, so we'll write it right at the average. And I think what you've seen is everything has become more complex in sports. Right? If you look at ticketing, you've got all the secondary markets. You have all this data flowing in, and they need someone to make sense of all that data. If you look at sponsorship sponsorship, his transition from selling a sign that sits on the side of the court for these truly integrated partnerships, where our partners are coming to us and saying, What do we get out of? This was our return. And so you're seeing a lot more part lot more collaboration between analytics and sponsorship to go back to those partners and say, Hey, here's what we delivered And so I think you it started on the basketball side, certainly because that's that's where the, you know that is the most important piece. But it quickly followed on the business side because they saw the value that that type of thinking can bring in the business. >> So I know this is not, you know, your swim lane, but But, you know, the lore of Billy Beane and Moneyball and all that, a sort of the starting point for sports analytics. Is that Is that Is that a fair characterization? Yeah. I mean, was that Was that really the main spring? >> I think it It probably started even before that. I think if you have got to see Billy being at the M I t Sports Analytics conference and him thought he always references kind of Bill James is first, and so I think it started. Baseball was I wouldn't say the easiest place to start, But it was. It's a one versus one, right? It's pitcher versus batter. In a lot of cases, basketball is a little bit more fluid. It's a team. Sport is a little harder, but I think as technology has advanced, there's been more and more opportunities to do the analytics on the basketball side and on the business side. I think what you're seeing is this huge. What we've heard the first day and 1/2 here, this huge influx of data, not nearly to the levels of the MasterCard's and others of the world. But as more and more things moved to the mobile phone, I think you're going to see this huge influx of data on the business side, and you're going to need the same systems in the same sort of approach to tackle it. >> S O. Bill James is the ultimate sports geek, and he's responsible for all these stats that, no, none of us understand. He's why we don't pay attention to batting average anymore. Of course, I still do. So let's talk about the business side of things. If you think about the business of baseball, you know it's all about maximizing the gate. Yeah, there's there's some revenue, a lot of revenue course from TV. But it's not like football, which is dominated by the by the TV. Basketball, I think, is probably a mix right. You got 80 whatever 82 game season, so filling up the stadium is important. Obviously, N v A has done a great job of of really getting it right. Free agency is like, fascinating. Now >> it's 12 months a year >> scored way. Talk about the NBA all the time and of course, you know, people like celebrities like LeBron have certainly helped, and now a whole batch of others. But what's the money side of the n ba look like? Where's the money coming from? >> Yeah, I mean, I think you certainly have broadcast right, but in many ways, like national broadcast sort of takes care of it itself. In some ways, from the standpoint of my team, doesn't have a lot of control over national broadcast money. That's a league level thing. And so the things that we have control over the two big buckets are ticketing and sponsorship. Those those are the two big buckets of revenue that my team spends a lot of time on. Ticketing is, is one that is important from the standpoint, as you say, which is like, How do we fill the building right? We've got 41 home game, supposed three preseason games. We got 44 events a year. Our goal is to fill the building for all 44 of those events. We do a pretty good job of doing it, but that has cascading effects into other revenue streams. Right, As you think about concessions and merchandise and sponsorship, it's a lot easier to spell spot cell of sponsorship when you're building is full, then if you're building isn't full. And so our focus is on. How do we? How do we fill the building in the most efficient way possible? And as you have things like the secondary market and people have access to tickets in different ways than they did 10 to 15 years ago, I think that becomes increasingly complex. Um, but that's the fun area that's like, That's where we spend a lot of time. There's the pricing, There's inventory management. It's a lot of, you know, is you look a traditional cpg. There's there's some of those same principles being applied, which is how do you are you looking airline right there? They're selling a plane. It's an asset you have to fill. We have ah, building. That's an asset we have to fill, and how do we fill it in the most optimal way? >> So the idea of surge pricing demand supply, But so several years ago, the Red Sox went to a tiered pricing. You guys do the same If the Sox are playing Kansas City Royals tickets way cheaper than if they're playing the Yankees. You guys do a similar. So >> we do it for single game tickets. So far are season ticket holders. It's the same price for every game, but on the price for primary tickets for single games, right? So if we're playing, you know this year will be the Clippers and the Lakers. That price is going to be much more expensive, so we dynamically price on a game to game basis. But our season ticket holders pay this. >> Why don't you do it for the season ticket holders? Um, just haven't gone there yet. >> Yeah, I mean, there's some teams have, right, so there's a few different approaches you convey. Lovely price. Those tickets, I think, for for us, the there's in years past. In the last few years, in particular, there's been a couple of flagship games, and then every other game feels similar. I think this will be the first year where you have 8 to 10 teams that really have a shot at winning the title, and so I think you'll see a more balanced schedule. Um, and so we've We've talked about it a lot. We just haven't gone to that made that move yet? >> Well, a season ticket holder that shares his tickets with seven other guys with red sauce. You could buy a BMW. You share the tickets, so but But I would love it if they didn't do the tiered. Pricing is a season ticket holder, so hope you hold off a while, but I don't know. It could maximize revenues if the Red Sox that was probably not a stupid thing is they're smart people. What about the sponsorships? Is fascinating about the partners looking for our ally. How are you measuring that? You're building your forging a tighter relationship, obviously, with the sponsors in these partners. Yeah, what's that are? Why look like it's >> measured? A variety of relies, largely based on the assets that they deliver. But I think every single partner we talk to these days, I also leave the sponsorship team. So I oversee. It's It's rare in sports, but I stayed over business strategy and Alex and sponsorship team. Um, it's not my title, but in practice, that's what I do. And I think everyone we talked to wants digital right? They want we've got over 25,000,000 social media followers with the Bulls, right? We've got 19,000,000 on Facebook alone. And so sponsors see those numbers and they know that we can deliver impression. They know we can deliver engagement and they want access to those channels. And so, from a return on, I always call a return on objectives, right? Return on investment is a little bit tricky, but return on objectives is if we're trying to reel brand awareness, we're gonna go back to them and say, Here's how many people came to our arena and saw your logo and saw the feature that you had on the scoreboard. If you're on our social media channels or a website, here's the number of impressions you got. Here is the number of engagements you got. I think where we're at now is Maura's Bad Morris. Still better, right? Everyone wants the big numbers. I think where you're starting to see it move, though, is that more isn't always better. We want the right folks engaging with our brands, and that's really what we're starting to think about is if you get 10,000,000 impressions, but they're 10,000,000 impressions to the wrong group of potential customers, that's not terribly helpful. for a brand. We're trying to work with our brands to reach the right demographics that they want to reach in order to actually build that brand awareness they want to build. >> What, What? Your primary social channels. Twitter, Obviously. >> So every platform has a different purpose way. Have Facebook, Twitter, instagram, Snapchat. We're in a week. We bow in in China and you know, every platform has a different function. Twitter's obviously more real time news. Um, you know the timeline stuff, it falls off really quick. Instagram is really the artistic piece of it on, and then Facebook is a blend of both, and so that's kind of how we deploy our channels. We have a whole social team that generates content and pushes that content out. But those are the channels we use and those air incredibly valuable. Now what you're starting to see is those channels are changing very rapidly, based on their own set of algorithms, of how they deliver content of fans. And so we're having to continue to adapt to those changing environments in those social >> show impressions. In the term, impressions varies by various platforms. So so I know. I know I'm more familiar with Twitter impressions. They have the definition. It's not just somebody who might have seen it. It's somebody that they believe actually spent a few seconds looking at. They have some algorithm to figure that out. Yeah. Is that a metric that you finding your brands are are buying into, for example? >> Yeah. I mean, I think certainly there they view it's kind of the old, you know, when you bought TV ads, it's how many households. So my commercial right, it's It's a similar type of metric of how many eyeballs saw a piece of content that we put out. I think we're the metrics. More people are starting to care about his engagements, which is how many of you actually engaged with that piece of content, whether it's a like a common a share, because then that's actual. Yeah, you might have seen it for three seconds, but we know how things work. You're scrolling pretty fast, But if you actually stopped to engage it with something, that's where I think brands are starting to see value. And as we think about our content, we have ah framework that our digital team uses. But one of the pillars of that is thumb stopping. We want to create content that is some stopping that people actually engage with. And that's been a big focus of ours. Last couple years, >> I presume. Using video, huge >> video We've got a whole graphics team that does custom graphics for whether it's stats or for history, historical anniversaries. We have a hole in house production team that does higher end, and then our digital team does more kind of straight from the phone raw footage. So we're using a variety of different mediums toe reach our fans >> that What's your background? How'd you get into all of this? >> I spent seven years in consulting, so I worked for Deloitte on their strategy group out of Chicago, And I worked for CPG companies like at the intersection of Retailer and CPG. So a lot of in store promotional work helping brands think through just General Revenue management, pricing strategy, promotional strategy and, um stumbled upon greatness with the Bulls job. A friend gave me the heads up that they were looking to fill this type of role and I was able to get my resume in the mix and I was lucky enough to get get the job, and it's been when I started. We're single, single, single, so it's a team of one. Five years later, we're a team of six, and we'll probably keep growing. So it's been an exciting ride and >> your background is >> maths. That's eyes business. Undergrad. And then I got a went Indian undergrad business and then went to Kellogg. Northwestern got an MBA on strategy, so that's my background. But it's, you know, I've dabbled in sports. I worked for the Chicago 2016 Olympic bid back in the day when I was at Deloitte. Um, and so it's been It's always been a dream of mine. I just never knew how I get there like I was wanted to work in sports. They just don't know the path. And I'm lucky enough to find the path a lot earlier than I thought. >> How about this conference? I know you have been the other M I T. Event. How about this one? How we found some of the key takeaways. Think you >> think it's been great because a lot of the conferences we go to our really sports focus? So you've got the M. I T Sports Analytics conference. You have seat. You have n b a type, um, programming that they put on. But it's nice to get out of sports and sort of see how other bigger industries are thinking about some of the problems specifically around data management and the influx of data and how they're thinking about it. It's always nice to kind of elevated. Just have some room to breathe and think and meet people that are not in sports and start to build those, you know, relationships and with thought leaders and things like that. So it's been great. It's my first time here. What are probably back >> good that Well, hopefully get to see a game, even though that stocks are playing that well. Thanks so much for coming in Cuba. No problems here on your own. You have me. It was great to have you. All right. Keep right, everybody. I'll be back with our next guest with Paul Gill on day Volante here in the house. You're watching the cue from M I T CEO. I cube. Right back

Published Date : Aug 1 2019

SUMMARY :

Brought to you by Silicon Angle Media. Welcome back to M. I. T. In Cambridge, Massachusetts. So talk about Is the head of analytics for the Bulls? But on the business side, um, what we're focused on is really two things. the house is not about like you say, player performance about the business performances. always be doing the basketball stuff and the business stuff needs to get done, A. And I want to ask you a question about that. it started on the basketball side, certainly because that's that's where the, you know that is the most important So I know this is not, you know, your swim lane, but But, you know, the lore of Billy Beane I think if you have got to see Billy being at the M So let's talk about the business side of things. Talk about the NBA all the time and of course, you know, And so the things that we have control over the two big buckets are So the idea of surge pricing demand supply, But so several years ago, It's the same price for every game, Why don't you do it for the season ticket holders? I think this will be the first year where you have 8 to 10 teams that really have a shot at winning so hope you hold off a while, but I don't know. Here is the number of engagements you got. Twitter, Obviously. Um, you know the timeline stuff, it falls off really quick. Is that a metric that you finding your brands are are More people are starting to care about his engagements, which is how many of you actually engaged with that piece of content, I presume. We have a hole in house production team A friend gave me the heads up that they were looking to fill this type of role and I was able to get my resume in the But it's, you know, I've dabbled I know you have been the other M I T. Event. you know, relationships and with thought leaders and things like that. good that Well, hopefully get to see a game, even though that stocks are playing that well.

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Steve Duplessie, ESG | Actifio Data Driven 2019


 

>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> We're back with the Cuban active FiO Data driven day one day Volante with student a man you're watching The Cube. Steve Duplessis here is the, uh, let's see. Uh, I'm going to say benevolent. Dictator of Enterprise Strategy Group. Chief analyst, Founder Welcome. Welcome back to the Cube. >> Thanks. Nice friend. Nice to be here, you fellows, and we don't Great. Congratulations. Newly newly closed. That's awesome. I want Yeah, thank you very much. >> Great. Looking good. You're here for your honeymoon. >> He said this is it? After a few marriages. This is the honeymoon. >> Yeah. That's good to know that the honeymoon's not over. So let's talk data, Tio. It's happening. >> That is a terrible question, Dave. >> So yeah, Data. Okay, everybody talks. Data you here, bro. My data is the new oil. Fate is a competitive advantage. And >> you like that. >> You do like what Data's in oil. >> So it's funny because we're I think I'm way older than you. You look better. >> God, no. >> But if you go back in time as long as we were doing this, it's been kind of hilarious, really. In retrospect, when you watch way watch these massive industries get created like the AMC just created because all they were about building bigger buckets to put data, zeros and ones. But no context, completely useless, just big buckets. So we valued Wow, you built a big fast bucket. Then IBM and her tachy whoever was gonna leap frog your next built a faster, bigger bucket. And that was with the world considered valuable. And it's now fast forward to the modern day and oh, maybe with the thing that's really valuable with those zeros and he's in contact. Maybe it's not really the bucket. It's, uh so valuable anymore. So >> So, do you think the with the bucket builders still bucket builders air they actually becoming data Insite creators? Or is it just still build a better bucket? That's cheaper. Faster >> till it's a great question. I think >> that we're first of all, you You still have to have the buckets, right? It's a relative who's going to make a smarter bucket builder. I don't know. >> You need someplace to put it, so >> you're gonna have to put it some place and you're gonna have to deliver it in the good news, you know, storage and or infrastructural say is the most brilliant business ever. From a capacity demand perspective, no one ever needs less, right. You always need Mauritz justa matter what you're gonna do with it, how you're going to address that. So it's we've propagated for 50 years and infrastructure business that build a bigger, faster bucket. Build a bigger, faster processor, build a bigger, faster. And every time you you solve one of those particular problems as long as data doesn't abate and it never does, is only is there's more versus Les. It's just every time we fix one problem way, you stick your finger in the dike and another poll springs out. So right now we're at the we've got more processing capabilities that week, ever possible. Use not true, right? We'll figure out a way to use it so that the last five years of and for the >> next five years waiting talk about analytics, wouldn't talk about io ti. We didn't talk about any of those things that are all just precursors to folk crap. We could make a whole bunch more NATO and do stuff with >> so So computers. Kind of a similar dynamic. It's sort of sensational. But is the relatively crappy business compared to storage rights? Storage is 60% plus gross margin. Business servers. I don't know. You're lucky if you get in in a low twenty's. Um, why is that? >> Hello, Number one. It's essentially monogamous. So 20% is wonderful if your intel and you get it. All right. Well, it sells. Got great gross margins, right? Everybody else's does it. You go down the supply chain. That's where you're gonna add value. So that's difficult for anything. Hard to get gross margins out of like spending. She had a box. >> So, Steve Yes, she's now 20 years old. >> I know >> when I think back 20 years ago. You know, short. You know this capacity price per dollar price per gigabyte. You know, all that stuff has changed a lot. The other thing, You know, I think back 20 years talk about automation and intelligent infrastructure. We were using those terms back that sure, one of things that they did. That that's right. Well, that's what I wanted to ask you about is like, right back then when you talked about well, how intelligent wasn't what could it do? And automation was There was a lot of times, you know, I'm just building a little script. I'm doing something like that. At least you know, from what we see, it feels like, you know, today's automation and intelligence is light times away from what we were talking about. 20 years. Sure, and it's true. What do you see in that? Well, >> so remember where we came from When we were talking originally about automation and orchestration, we were talking about how to manage a box, how to expand a box, how to manage infrastructure. Now it's data operations. Right now it's that that's the whole point of activity. Right to be in with is all right, if you are good enough and smart enoughto have the data sort of everything. What kind of matters? There you've gotta have the data and what can you up? What can you automate an orchestra from a data out perspective? Not from a box, not from a Let's scale out or scale up or something like that again, that's just a bigger bucket. It's a better bucket, but to be able to actually take data and say, You know what? I don't even know necessarily what I'm going to want to use this for, but I know that I gotta have. It's gotta be You have to be able to go click, click, click and get it. If if and when I figure out who I want to find out how lowering the price of Sharman and Seattle at a Wal Mart is going to affect my revenue or my supply chain or whatever. >> So one of the things I've talked with you in the past about is the pace of change of the industry. And, you know, I've said, you know, we know things are changing rather fast, but the average company, how much were they? Actually are they good at adopting change? And you've called me on stupid enterprises slow getting any faster, you know? Are they Are they open to change? Mohr. You know, what do you see in 2019? Is is it any different than it was in, You know, two thousand nine? >> That's a great question. So thie answer is yes, they're getting better. We are finally getting better. Problem, though, is a CZ industry insider watcher or a Boyar is ur is you see it and know what should happen 10 years. It takes 10 years in general for the world to actually catch upto the stuff that we're talking about. So it's not really that helpful to the poor schlub that's running on operation that build sneakers in Kansas, right? That's not really that helpful that we're talking about. This is what you could be doing and should be doing. The pace of change is much faster now because and give the em where most of the credit. Because once that went into place, all of the sudden and that you gotta remember there, everyone thinks vm where was an instant home run? It was 10 years of the same cold sitting in the corner in a queue, a environment before. Finally, we ran out of room in the data center, and that's the only reason they were able to come out. But once it was there, and it enabled you to stop associating the physical to the to the logical once, we could just just dis aggregate that stuff that I think opened up a tidal wave of kind of what else can we do? And people have adopted now. Now it's pervasive. So VM where's everywhere? Now? We're moving in the next level of kind of woman. Why can't I just build a containerized app that I can execute anywhere? No matter of fact, I don't even want it in my data center on. No one has to know that necessarily. So as modernization exercises have started to take off, they just they pick up, they actually pick up steam. So what we know empirically is those that are are halfway down. Call it the transformation or the modernization curve are going three times faster than those just starting. And those guys are going three times faster than the ones that are sitting there in idle doing stuff. The same >> city with the inertia going on. What do you make of this Bubblicious Back up market. Let's talk about that a little bit. You got these big install bases? The veritas, Conmebol, Delhi emcee, IBM, Tivoli install base. Everybody wants a piece of that action. Well, I guess cohesive rubric also want a piece of each other. Sure, which is kind of, you know, they get that urinary Olympics going on. I'd like to say And then you got these guys, which is kind of, you know, playing. Uh, I said to Ashleigh kind of East Coast, West Coast, There's no no, it's not East Coast, West Coast, but there's definitely more conservativism on this side of the of the flyover states. What's your take on what's going on in the landscape right now? >> So back up is awesome from the again, still probably the single most consistently line item budget thing for five decades. It's a guaranteed money in and out, and by and large it still sucks. My general rule is still it's crazy that we haven't been able to solve that particular problem. But regardless, the reason that it's so important is, besides the obvious. Yeah, you need to protect stuff, case. Something goes away and something bad happened good. But really, it's That's the inn. Just point for everything you do, you create data today. I'm backing it up on our later so that backup becomes the injust engine and it also is kicking off point. So at tapioca it started as wow, this is a better backup, most trap for lack of a better term. But really what? It was is didn't matter what with was back up or something else. It's I need tohave the data in order to do other stuff with it, and back up is just a natural, easiest way to be able to do that. So I think what's finally happening is we're moving from Christophe Would would say it's really about intelligence intelligence more so than just capturing those bits and being able to assemble and put it back together. It's understanding the context of those bits so that I can say stew in test. Dev has a different use case than Dave in whatever analytics, etcetera, etcetera. But they both need a copy of the exact scene data, the exact same state at the exact same point in time, etcetera. So if lungs backup's going to be kind of a tip of the spear in terms of going from what I will say, production or live data to the first copy, there's almost always back up. It's gonna matter. >> Christoph, Christoph Bertrand want your analyst? And so we saw, uh, c'mon, Danni Allen put a slideshow $15,000,000,000 tam and back up being a big chunk of that, probably half of it um, how does that jibe with your gut feel in terms of the opportunity beyond backup Dev ops? You know, I don't know. Ransomware insights. So you think that's low? High? Makes sense. >> I think I could justify the number. And what history has taught me is that it's probably low because we we're only talking about a handful of use cases that we've all glommed onto. But there will be remembered, like 11 years ago, there was no iPhone. You know what? How bad that changed. Everything that we do over there. And when did you know at some point during that particular journey, the phone became Who gives a shit about the phone? Excuse. But it's a text machine and it's an instagram thing, and it's a video production facility and all these other things, and the phone's almost dead. I only use it when my mom calls me kind of thing. So, you know, really, it's difficult to imagine. I certainly don't have the mental capabilities to imagine what the next 10 things after Dev Ops and this that and the other. But it's still all predicated on the same you got Somebody's gonna have a copy of that data and you're gonna be able to access it. You've got to be able to put it where you need it for whatever the reason again, a disaster is an important thing to recover from. But so is being ableto farm That data for nuggets of gold. >> Well, I guess I asked the question because, you know, it's a logical question is, is the market big enough to support all these companies that are in, You know, that gardener thing that they do? And I hope so because we love competition. >> I think I >> can answer it >> this way. Everything. Even the oldest guard Veritas, for God's sakes, 1000 years old, t sm 1000 years old con vault code base, 1000 years old. You're all big companies, right? And they're not perishing anytime soon. And I don't run. Love the startup Love the active FiOS or the cohesive sees coming in. But what they're really trying to do is not, you know, they might have started, as in a common ground, backup is a common warzone, but because there's money there like this consistent money there go get. But they soon turn in Teo other value propositions. And that's not is true with the incumbent back up guys because of their own legacy, right? It's hard to turn 1,000,000 year 1,000,000 lines of code into something. It wasn't designed, innit? >> Yeah, and it's not trivial to disrupt that base. But I guess if you get, you know, raising I don't know how much the industry is raised, but it's well over $1,000,000,000 now. I mean, activity has raised 200,000,000 and that's like chump change. Compared to some of the other races that you've seen. Cody City was to 60 and their last rubric was even, you know, crazy, crazy, even >> count the private money that beam God is that, you know, that was half 1,000,000,000 >> right? Well, that's a That's an off camera discussion. All right, we gotta go. So, Steve, thanks so much for for coming. Thank you. Great to >> have you. All right. All right, everybody. We'll be back with our next guest. You wanted the Cube from active field data driven from Boston, right on the harbor. Right back

Published Date : Jun 18 2019

SUMMARY :

Data driven you by activity. Welcome back to the Cube. Nice to be here, you fellows, and we don't Great. You're here for your honeymoon. This is the honeymoon. So let's talk data, Data you here, So it's funny because we're I think I'm way older than you. And it's now fast forward to the modern day and oh, maybe with the thing that's really valuable So, do you think the with the bucket builders still bucket builders air I think that we're first of all, you You still have to have the buckets, It's just every time we fix one problem way, you stick your finger in the We didn't talk about any of those things that are all just precursors to folk crap. But is the relatively crappy You go down the supply And automation was There was a lot of times, you know, I'm just building a little script. Right to be in with is all right, if you are good enough and smart enoughto have the data So one of the things I've talked with you in the past about is the pace of change of the industry. So it's not really that helpful to the poor schlub that's running I'd like to say And then you got these guys, which is kind of, you know, lungs backup's going to be kind of a tip of the spear in terms of going from what I will say, So you think that's low? But it's still all predicated on the same you got Somebody's gonna have a copy of that data and you're gonna Well, I guess I asked the question because, you know, it's a logical question is, is the market big enough to support all these But what they're really trying to do is not, you know, they might have started, as in a common ground, But I guess if you get, you know, raising I don't know how much the industry Great to from Boston, right on the harbor.

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Kim Majerus, AWS | AWS Public Sector Summit 2019


 

>> Voice Over: Live from Washington, D.C. It's the Cube! Covering AWS Public Sector Summit. Brought to you by Amazon Web Services. >> Hello everyone welcome back to the Cube's live coverage of AWS Public Sector Summit here in Washington DC. I'm your host Rebecca Knight, along with my co-host John Furrier. We're joined by Kim Majerus. She is the leader, state and local government at AWS. Thanks so much for coming on the show. >> Thank you for having me, I'm excited my first time so. >> John: Welcome to the Cube. >> Welcome! >> I'm excited! >> Rebecca: Your first rodeo. I'm sure you'll be a natural. >> Thank you. >> Let's start by telling our viewers a little bit about what you do, and how heading up the state and local is different from the folks who work more with the federal government. >> Sure. So I've been with Amazon a little over a couple of years and having responsibility for state and local government has really opened up my eyes to the transformation that that space is moving to. So when I think about our opportunity, it's not just state and local government, but it's actually the gov tax that are supporting that transformation in traditional environments. Everyone asks that questions, what's the difference between a federal versus a state and local? And I attribute it to this way, programs are very important in a federal space but what I'm focused on is every single city, county, state has aspirations to do things the way they want to do things, of how they need to address their specialized market. What people need in New York City might feel and look a little bit different in a small town in my home state. So when you look at the differences it's exciting to have the opportunity to impact there. >> And one of the things that you inherited in the job is state and local governments also, and we've heard this on the Cube from many guests that have been on, they didn't have the big IT budgets. >> No. >> And so, things to move the needle on R&D and experiment, you know Andy Jassy talks about experimentation and learning through failure, a lot of them don't have the luxury. And this changing landscapes, different diversity environments. >> Yeah absolutely. It's doing more with less, and each state struggles with that. And when you take a look at the budget and where state budget goes, it's predominantly in the health provider instances. So they have the responsibility to serve their constituents and their health, so what's left? You're competing with budgets for teachers, firefighters, first responders of all sorts, so they have to be very frugal with what they do and they have to learn from one another. I think that is one of the nicest things that we see across the states and the cities. >> Tell me about the community aspect of it because one of the things we're seeing on the trend side is the wave that's coming, besides all the normal investments they've got to make, is internet of things and digitization. Whether it's cameras on utility poles, to how to deal with policies just like self-driving cars and Uber. All these things are going on, right? >> Yep. >> Massive change going on, and it's first generation problems. >> Absolutely. >> Net New right? So where's the money going to come from? Where's the solutions going to come from? >> Save to invest right? So they're taking a look at Net New technologies that allows them to actually re-invest those savings into what the community's asking for. People don't want to stand in lines to get their driver's license or a permit. We just had a customer meeting, they were talking about how the challenge between the connected community. If you're in a city, in a county, who do you go and talk to? I need a building permit, do I go to the city, do I go to the county? But I don't want to go. I want to be able to do it in a different way. That's the generational change and we're seeing that, even local to the D.C. area, when you take a look at Arlington county, they have the highest population of millennials. How they want to interact with government is so different than what they've seen in times past. >> So talk to me about what, so what what are the kinds of innovations that Arlington needs to be thinking about according to you, in terms of how to meet these citizens where they are and what they're accustomed to? >> Expectations, I mean take a look at, we walk outside the street you see birds sitting around there and you've got to be able to give them transportation that is accustomed to what they do every single day. They want to buy, they want to communicate and more importantly they want to their services when they look for it. They don't want to have to go to the buildings, they want to have to, they want to be able to actually access the information, find exactly where they need to go to grab that specific service. I mean long is the day that you would stand there are say, well I don't know which office to go to, send me. People want to look and everything's got to be available and accessible. >> I mean this is classic definition of what Andy Jassy and Theresa talk about. Removing all that undifferentiated heavy-lifting. >> Yep, barriers. >> All this red tape, and the lack of budget. All these things kind of create this environment. What are you guys doing to address that? How do you get people over the hump to saying, okay, it's okay to start this journey, here's some successes, is it get a couple wins under your belt first? What's the process? Take us through it and use (mumbles). >> I think this has been probably one of the most refreshing parts for me to be a part of AWS. It's really starting with, what problem are you trying to solve for? What is the biggest issue that you have? And we work backwards from their needs. And it's a very different approach than how others have worked with our customers, our state and local customers, because we're used to selling them this thing for this opportunity, whereas we take three steps backwards and say let's start from the beginning. What issues are you having? What're your constituents having? Was with a group of CIOs on Monday and we went through this whole process of, who are your customers? And they would've thought, well it's an agency here and it's an agency there, and what they soon realized is, those are my stakeholders, those are not my customers. So if we really look at it more of a product versus a project with the state and local executives, it's really changing their perspective on how they could actually have a full cycle of opportunity, not a project-based solution. So when you think about how a constituent wants to work through the government, or access it's services, it will look and feel differently if you're thinking about the full life-cycle of it, not the activity. >> You know one thing I want to ask you that came up in a couple conversations earlier, and then what the key note was. The old days was if you worked for the government, it was slow, why keep the effort if you can't achieve the objective? I'm going to give up, people get indifferent, they abandon their initiatives. Now Andy and you guys are talking about the idea that you can get to the value proposition earlier. >> Yes. >> So, even though you can work backwards, which I appreciate, love the working backwards concept, but even more reality for the customer in public and local and state is like, they now see visibility into light at the end of the tunnel. So there's changing the game on what's gettable, what's attainable, which is aspirational. >> It might feel aspirational for those who have not embraced the art of what's possible, and I think one of the things that we've seen recently in another state. They had a workforce that liked to do what they did, as Andy said, "Touch the tin." And when you think about that whole concept, you never touch the tin. So now let's take a look at your workforce, how do we make being in government the way to, as Andy close it, to make the biggest impact for your local community. So some states are saying, what we've done is we still need the resources we have, but the resources that are moving up the stack and providing more of an engagement of difference, those are the ones that are taking those two pizza team type of opportunities and saying what are we going to do to change the way they interact? >> With real impact. >> With real impact. >> Andy also talked about real problems that could be solved, and he didn't really kind of say federal or any kind of category, he just kind of laid it out there generally. And this is what people care about, that work for state, local and federal. They actually want to solve problems so there are a lot of problems out there. What are you seeing at the state and local level that are on the top problem statements that you're seeing where Cloud is going to help them? >> A great example would be, when you think about all the siloed organizations within our community care. You're unable to track any one record, and a record could be an individual or an organization. So what they're doing is they're moving all those disparate data silos into an opportunity say let's dedupe-- how many constituents do we have? What type of services do they need? How do we become proactive? So when you take a look at someone who's moved into the community and their health record comes in, what're the services that they need? Because right now they have to go find those services and if they county were to do things more proactively, say hey, these are the services that you need, here is where you can actually go and get them. And it's those individual personalized engagements that, once you pull all that data together through all the different organizations, from the beginning of a 911 call for whatever reason, through their health record to say, this is the care that they, these are the cares that they have, and these are the services that they need, and oh by the way they might be allergic to something or they might have missed a doctor's appointment, let's go ensure that they are getting the healthcare. There's one state that's actually even thinking about their senior care. Why don't we go put an Alexa in their house to remind them that these are the medications that you need? You have a doctor's appointment at 2 o'clock, do you want me to order a ride for you to get to your doctor's appointment on time? That is proactive. >> And also the isolation for a lot of old people living by themselves, having another voice who can answer their question is actually incredibly meaningful. >> It is, and whether it's individual care to even some are up and rising drivers. A great application in Utah is they've actually used Alexa and wrote skills around Alexa so that they could pre-test at home before they go take their test are the driver's license facility. So when you think about these young kids coming into the government, how interactive and how exciting for them to say, hey, I'm going to take the time, I have my Alexa, she's going to ask me all the questions that I need to literally the other end of the spectrum to say, hey, I can order you an Uber, I could provide you with a reminder of your doctor's appointments or any health checks requirements that you might need along the way. >> So you're talking about the young people today engaging with government in this way, but what about actually entering the government as a career? Because right now we know that there's just such a poisonous atmosphere in Washington, extreme partisanship and it doesn't seem like a very, the government doesn't seem appealing to a lot of people. And when they are thinking about, even the people who are in Cloud, not necessarily in the public policy, what're you hearing, what're you thinking? What's AWS's position on this? >> This is where I love my brother and in the education space. So in two different areas we have California, Cal State Poly, and then we also have Arizona State University who have put in kicks. They're innovation centers are the university that they're enlisting these college students or maybe project based that are coming in and helping solve for some of the state and local government challenges. I think the important part is, if you could grab those individuals in early through that journey in maybe through their later years of education say, hey, you could write apps, you could help them innovate differently because it's through their lens. That gets them excited and I think it's important for everyone to understand the opportunity and whether it's two years, four years or a lifetime career, you've got to see it from the other side and I think, what we hear from the CIOs today across the states is they want to pull that talent in and they want to show them the opportunity, but more importantly they want to see the impact and hear from them what they need differently. So it's fun. >> There's a whole community vibe going on. >> Yeah. >> And we were riffing on day one on our intro about a new generation of skill, not just private and public sector, both. We have a collective intelligence and this is where open-data, openness, comes in, and that's resource. And I think a lot of people are looking at it differently and I think this is what gets my attention here at this event this year, besides the growth and size, is that Cloud is attracting smart people, it's attracting people who look at solutions that are possibly attainable, and for the first time you're seeing kind of progress. >> It's a blank sheet of paper. >> There's been progress before I don't mean to say there's no progress, there's new kinds of progress. >> I think the best part, and I say this to people who are working with Amazon, when you think about a blank sheet of paper, that's where we're at. And I think that's the legacy that we need to get through, it's like this is the way we've done it, this is the way we've always done it. In state and local government we're dealing with procurement challenges, they know how to do CATPACs, they don't know how to OPECs, so how can you help us change the way they look at assets, and more importantly, break through those barriers so that we could start with a blank sheet of paper and build from the ground-up what's needed, versus just keep on building on what was out there. >> So that mean education's paramount for you. So what're you guys doing with education? Share some notable things that are important that are going on that are on education initiatives that you can help people. >> It's starting at the 101. Again I think it's the partnership with the education, what we have in the community college, and even starting in high school, is get people interested in Cloud. But for state and local customers today, it is about workforce redevelopment and giving them the basic tools so that they could rebuild. And there are going to be people that are going to opt-in, and there's going to be people that say, I'm fine where I'm at thank you very much, and there's a place and, more importantly, there's plenty of opportunity for them there. So we're providing them with AWS Educate, we're providing them with our support locally through my team, but the important part is you get in, show them, put their hands on the keyboards and let them go 'cause once they start they're like, I didn't realize I could do that, I didn't understand the value and the opportunity and the cost savings that I could move through with these applications. >> And there's so many jobs out there, I mean Amazon is just one company that's in Cloud. There's Machine Learning, there's AI, there's all kinds of analytics. All kinds of new job opportunities that there's openings for, it's not like. No one's skilled enough! We need more people. >> I'll give you another. There was a great case study in there, they actually did a session here this week, LA County. They get 800-900 calls a day just within an IT, one of the IT organizations and Benny would say, my customer is those who are working in the county. So they've been able to move to CANACT, and now they have a sentiment scale, they are able to not only intake, transcribe, comprehend, but they're able to see the trends that they're saying. What that's been able to save by ways of time and assets and resources it's really allowing them to focus on what's the next generation service that they could deliver differently, and more importantly, cost-effectively. >> Where in the US, 'cause Andy talked about the middle class shrinking with the whole reference to the mills going out of the business, inferring that digital's coming. Where do you see the trends in the US, outside of the major metros like Silicon Valley, New York, et cetera, Austin, where there's growth in digital mind IQ? Are you seeing, obviously we joke with the Minnesota guys, it's O'Shannon on and we had Troy on earlier, both from Minnesota. But is there areas that you're seeing that's kind of flowering up in terms of, ripe for investment for in-migration, or people staying within their states. Because out-migration has been a big problem with these states in the middle of the country. They want to keep people in the state, have in-migration. What're you areas of success been for digital? >> You know what, look at Kansas City. Great use case, smart connected city, IOT. If you take a look at what their aspirations were, it was to rejuvenate that downtown area. It's all started with a street car and the question was, when people got off that street car did they go right or did they go left? And they weren't going left and the question was why? Well when they looked and they surveyed, well there's nothing there, the coffee shops there. So what they did proactively, because this is about providing affordable opportunity for businesses, but more importantly, students and younger that are moving out of home, they put a coffee shop there. Then they put a convenience store, then they put a sandwich shop down there and they started to build this environment that allowed more people to move in and be in that community. It's not about running to the big city, it's about staying maybe where you're at but in a new way. So Kansas City I think has done a fantastic job. >> And then having jobs to work remotely 'cause you're seeing now remote, virtual-first companies are being born and this is kind of a new generational thing where it's not Cloud first. >> Work is where you're at, it's not where you go. >> And yet we do need >> That's an opportunity. >> Clusters of smart people and these sort of centers of innovation beyond just the coasts. >> I'm out of Chicago. I obviously have headquarters in D.C. for public sector and corporate out of Seattle. I think there is a time and place that is required to be there when we're working on those projects or we require that deep time. But I want to be available to my team, and more importantly to my customers, and when I see my customers, my customers are not all in city buildings or county buildings or state buildings. They're all over. So it's actually refreshing to see the state government and local governments actually promote some of that. It's like well hey I'm not going to the office today, let's go meet in this location so that we could figure out how to get through these challenges. It has to be that way because people want to be a part of their community in a different way, and it doesn't necessarily mean being in an office. >> Exactly. >> Okay Kim, well to check in with you and to find out your progress on the state and local, certainly it's real opportunity for jobs and revitalization crossed with digital. >> Yep, as Andy would put it, when we look at this space, it's a labor of love and it's the biggest impact that I could make in my career. >> And tech for good. >> And tech for good. >> Excellent, well thank you so much Kim. >> Thank you. Goodbye. >> Stay tuned for my of the Cube's live coverage of AWS Public Sector Summit. (outro music)

Published Date : Jun 12 2019

SUMMARY :

Brought to you by Amazon Web Services. to the Cube's live coverage of AWS Public Sector Summit I'm sure you'll be a natural. a little bit about what you do, And I attribute it to this way, And one of the things that you inherited in the job things to move the needle on R&D and experiment, and they have to learn from one another. besides all the normal investments they've got to make, and it's first generation problems. I need a building permit, do I go to the city, and more importantly they want to their services I mean this is classic definition of and the lack of budget. What is the biggest issue that you have? Now Andy and you guys are talking about the idea that but even more reality for the customer And when you think about that whole concept, that are on the top problem statements that you're seeing and these are the services that they need, And also the isolation for So when you think about the government doesn't seem appealing to a lot of people. and they want to show them the opportunity, There's a whole and I think this is what gets I don't mean to say there's no progress, and I say this to people who are working with Amazon, So what're you guys doing with education? and there's going to be people that say, I mean Amazon is just one company that's in Cloud. and resources it's really allowing them to focus on to the mills going out of the business, and they started to build this environment and this is kind of a new generational thing and these sort of centers of innovation and more importantly to my customers, well to check in with you and to find out it's a labor of love and it's the biggest impact that Excellent, well thank you Thank you. of AWS Public Sector Summit.

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Joe DosSantos, Qlik | CUBE Conversation, April 2019


 

>> From the SiliconANGLE Media office in Boston, Massachusetts, it's theCUBE! Now here's your host, Stu Miniman! >> I'm Stu Miniman and this is a CUBE Conversation from our Boston area studio. Going to dig in to discuss the data catalog and to help me do that, I want to welcome to the program first-time guest Joe DosSantos who is the global Head of Data Management Strategy at Qlik. Joe, thank you so much for joining us. >> Good to be here Stu. >> All right so the data catalog, let's start there. People, in general, know what a catalog is. well maybe some of the millenniums might not know as much as those of us that been in the industry a little bit longer might have. So start there and help level set us. >> So our thinking is that there are lots of data assets around and people can't get at them. And just like you might be able to go to Amazon and shop for something, and you go through a catalog or you go to the library and you can see what's available, we're trying to approximate that same kind of shopping experience for data. You should be able to see what you have, you should be able to look for things that you need, you should be able to find things you didn't even know were available to you. And then you should be able to be able to put them into your cart in a secure way. >> So Joe, the step one is, I've gathered my data lake, or whatever oil or water analogy we want to use for gathering the data on, and then we've usually got analytic tools and lots of things there but this is a piece of that overall puzzle, do I have that right? >> That's exactly right so, if you think about what are the obstacles to analytics, there are studies out there that say less than one percent of analytics data is actually being analyzed. We're having a trouble with the pipelines to get data into the hands of people who can do something meaningful with it. So what is meaningful? Could be data science, could be natural language, which maybe if you have an Alexa at home or you just ask a question and that information is provided right back to you. So somebody wants to do something meaningful with data but they can't get it. Step one is go retrieve it, so our Attunity solution is really about how do we start to effectively build pipelines to go retrieve data from the source? The next step though is how do I understand that data? Cataloging isn't about just having a whole bunch of boxes on a shelf, it's being able to describe the contents of those shelves, it's being able to know that I need that thing. If you were to go into an Amazon.com experience and you say I'm going on a fishing trip and you're looking for a canoe, it'll offer you a paddle, it'll offer you lifejackets. It guides you through that experience. We want data to be the same way, this guided trip through the data that's available to you in that environment. >> Yes, it seems like - metadata is something we often talk about but it seems like even more than that. >> It really is, metadata is a broad term. If you want to know about your data, you want to know where it came from. I often joke that there are three things you want to know about data: what is it, where did it come from and who can have access to it under what circumstances. Now those are really simple concepts but they're really complex under the covers. What is data? Well, is this private information, is this person identifiable information, is a tax ID, is it a credit card? I come from TD Bank and we were very preoccupied with the idea of someone getting data that they shouldn't. You don't want everyone running around with credit cards, how do I recognize a credit card, how do I protect a credit card? So the idea of cataloging is not just available for everything, it's security. I'm going to give you an example of what happens when you walk into a pharmacy. If you walk into a pharmacy and you want a pack of gum or shampoo you walk up to the shelf and you grab it, it's carefully marked in the aisles, it's described but it's public, it's easy to get, there aren't any restrictions. If you wanted chewing tobacco or cigarettes you would need to present somebody with an ID who need to say that you are of age, who would need to validate that you are authorized to see that and if you wanted Oxycontin, you'd best have a prescription. Why isn't data like that, why don't we have rules that stipulate what kind of data belong in what kind of category and who can have access to it? We believe that you can, so a lot of impediments to that are about availability and visibility but also about security and we believe that once you've provisioned that data to a place then the next step is understanding clearly what it is, and who can have access to it so that you can provision it downstream to all of these different analytic consumers that need it. >> Yeah, data security is absolutely front and center, it's the conversation at board levels today, so the catalog, is it a security tool or it works with kind of your overall policies and procedures? >> So you need to have a policy. One of the fascinating things that exists in a lot of companies is you ask people please give me the titles of the columns that constitute personally identifiable information, you'll get blank stares. So if you don't have a policy, you don't have a construct, you're hopelessly lost. But as soon as you write that down now you can start building rules around that. You can know who can have access to what under what circumstances. When I was at TD we took care to try and figure out what the circumstances were that allowed people to do their job. If you're in marketing you need to understand the demographic information, you need to be able to distribute a marketing list that actually has people's names and addresses on it. Do you need their credit card number, probably not. We started to work through these scenarios of understanding what the nature of data was on a must-have basis and then you don't have to ask for approval every single time. If you go to Amazon you don't ask for approval to buy the canoe, you just know whether it's in stock, if it's available and if it's in your area. Same thing with data, we want to remove all of the friction associated with that just because the rules are in place. >> Okay, so now that I have the data what do I do with it? >> Well this is actually really an important part of out Qlik story. So Qlik is not trying to lock people into a Qlik visualization scenario. Once you have data what we're trying to do is to say that discovery might happen across lots of different platforms. Maybe you're a Tableau user, I don't know why, but there are Tableau users - no in fact we did use Tableau at TD - but if you wanted provision data and discover things and comparable BI tools, no problem. Maybe you want to move that into a machine learning type of environment, you have TensorFlow, you have H2O libraries doing predictive modeling, you have R and Python, all of those things are things that you might want to do, in fact these days a lot of times people don't want analytics and visualizations, they want to ask the questions, do you have an Amazon Alexa in your house? >> I have an Alexa and a Google Home. >> That's right so you don't want a fancy visualization, you want the answer to a question so a catalog enables that, a catalog helps you figure out where the data is that asks a question. So when you ask Alexa what's the capital of Kansas it's going through the databases that it has that are neatly tagged and cataloged and organized and it comes back with Topeka. >> Yeah. >> I didn't want to stump you there. >> Thank you Joe, boy, I think back in the world, there are people, ontological studies as to how I put these things together. As a user I'm guessing, using a tool like this, I don't need to have to figure how to set all this up, there's got to be way better tools and things like that just like in the discussion of metadata, most systems today do that for me or at least a lot of it but how much do I as a customer customize stuff and how much does it do it for me? >> So when you and I have a conversation we share a language and if I say where do you live you know that living implies a house, implies an address and you've made that connection. And so effectively all businesses have their own terminology and ontology of how they speak and what we do is, if we have that ontology described to us we will enforce those rules so we are able to then discover the data that fits that categorization of data. So we need the business to define that force and again a lot of this is about processing procedure. Anyone who works in technology knows that very little of the technological problems are actually about technology, they're about process and people and psychology. What we're doing is if someone says I care deeply and passionately about customers and customers have addresses and these are the rules around them, we can then apply those rules. Imagine the governance tools are there to make laws, we're like the police, we enforce those laws at time of shopping in that catalog metaphor. >> Wow Joe, my mind is spinning a little bit because one of the problems you have if you work for a big customer, you'd have different parts of the company that would all want the same answer but they'd ask it in very different ways and they don't speak the same language so does a catalog help with that? >> Well it does and it doesn't. I think that we are moving to a world in which for a lot of questions, truth is in the eye of the beholder. So if you think about a business that wants to close the books, you can't have revenue that was maybe three million, maybe four million. But if you want to say what was the effectiveness of the campaign that we ran last night? Was it more effective with women or men - why? Anytime someone asks a question like why, or I wonder if, these are questions that invite investigation, analysis and we can come to the table with different representations of that data, it's not about truth, it's about how we interpret that. So one of the peculiar and difficult things for people to wrap their arm around is in the modern data world with data democratization, two people can go in search of the same question and get wildly different answers. That's not bad, that's life, right? So what's the best movie that's out right now? There's no truth, it's a question of your tastes and what you need to be able to do is, as we move to a democratized world is, what were the criteria that were used? What was the data that was used? And so we need those things to be cited but the catalog is effectively the thing that puts you in touch with the data that's available. Think about your college research projects. You wrote a thesis or a paper, you were meant to draw a conclusion, you had to go to the library and get the books that you needed. And maybe, hopefully, no one had ever combined all of those ideas from those books to create the conclusion that you did. That's what we're trying to do every single day in the businesses of the world in 2019. >> Yeah it's a little scary in the world of science most things don't come down to a binary answer, there's the data to prove it and what we understand today might not be - if we look and add new data to it it could change. Bring in some customer examples as to what they're doing, how this impacts it and I wish brings more certainty into our world. >> Absolutely, so I come from TD Bank and I was the Vice President of Information Management Technology there, and we used Data Catalyst to catalog a very large data lake so we had a Hadoop data lake that was six petabytes, had about 200 different applications in it. And what we were able to do was to allow self service to those data assets in that lake. So imagine you're just looking for data and instead of having to call somebody or get a pipeline built and spend the next six months getting data, you go to a portal, you grab that data. So what we were able to do was to make it very simple to reduce that. We usually think that it takes about 50% of your time in an analysis context to find the data, to make the data useful, what if that was all done for you? So we created a shopping experience for that at an enterprise level. What was the goal - well at TD, we were all about legendary customer experience so we found very important were customer interactions and their experiences, their transactions, their web Qliks, their behavioral patterns and if you think about it what any company is looking to do is to catch a customer in the act of deciding and what are those critical things that people decide? In a bank it might be when to buy a house, when you need mortgages and you need potentially loans and insurance. For a healthcare company it might be when they change jobs, for a hospital it might be when the weather changes. And everybody's looking for an advantage to do that and you can only get that advantage if you're creative about recognizing those moments through analytics and then acting in real time with streaming to do something about that moment. >> All right so Joe one of the questions I have is is there an aspect of time when you go into this because I understand if I ask questions based on the data that I have available today but if I'd asked that two weeks before that it would be some different data and if I kept watching it, it would do that and so I've got certain apps I use like when's the best time to buy a ticket, when is the best time to do that, how does that play in? >> So there are two different dimensions to this, the first is what we call algorithmic decay. If you're going to try and develop an algorithm you don't want the data shifting under your feet as you do things because all of a sudden your results will change if you're not right and the sad reality is that most humans are not very original so if I look at your behavior for the past ten years and if I look at the past twenty it won't be necessarily different from somebody else, so what we're looking to do is catch mass patterns, that's the power of big data, to look at a lot of patterns to figure out the repeatability in most patterns. At that point you're not really looking for the data to change, then you go to score it and this is where the data changes all the time. So think about big data as looking at a billion rows and figuring out what's going on. The next thing would be traditionally called fast data which is now based on an algorithm - this event just happened, what should I do? That data is changing under your feet regularly, you're looking to stream that data, maybe with a change data capture tool like Attunity, you're looking to get that into the hands of people in applications to make decisions really quickly. Now what happens over time is people's behaviors change - only old people are on Facebook now right, you know this, so demographics change and the things that used to be very predictive fail to be and there has to be capability in an industry, in an enterprise to be able deal with those algorithms as they start to decay and replace them with something fresher. >> All right Joe, how do things like government compliance fit into this? >> So governance is really at the core of the catalog. You really need to understand what the rules are if you want to have an effective catalog. We don't believe that every single person in a data democratized world should have access to every single data element. So you need to understand what is this data, how should I protect it and how should I think about the overall protection of this data and the use of this data. This is a really important governance principle to figure out who can have access to these data sets under what circumstances. Again nothing to do with technology but the catalog should really enforce your policy and a really good catalog should help to enforce the policies that you're coming up with, with who should have access to that data under what circumstances. >> Okay so Joe this is a pretty powerful tool, how do customers measure that they're getting adoption, that they're getting the results that they were hoping to when they roll this out? >> No one ever woke up one day and said boy would it be great if I stockpiled petabytes of data. At the end of the day, >> I know some storage companies that say that. >> They wish the customers would say that but at the end of the day you have data for analytics value and so what is analytics value? Maybe it's about a predictive algorithm. Maybe it's about a vizualisation, maybe its about a KPI for your executive suite. If you don't know, you shouldn't start. What we want to start to do is to think about use cases that make a difference to an enterprise. At TD that was fundamentally about legendary customer experience, offering the next best action to really delight that customer. At SunLife that was about making sure that they had an understand from a customer support perspective about their consumers. At some of our customers, at a healthcare company it was about faster discovery of drugs. So if you understand what those are you then start from the analytical outcome to the data that supports that and that's how you get started. How can I get the datasets that I'm pretty sure are going to drive the needle and then start to build from there to make me able to answer more and more complex questions. >> Well great those are some pretty powerful use cases, I remember back in the early Hadoop days it was like let's not have the best minds of our time figuring out how you can get better ad clicks right? >> That's right it's much easier these days. Effectively Hadoop really allows you to do, what big data really allows you to do is to answer questions more comprehensively. There was a time when cost would prevent you from being able to look at ten years worth of history, those cost impediments are gone. So your analytics are can be much better as a result, you're looking at a much broader section of data and you can do much richer what-if analysis and I think that really the secret of any good analytics is encouraging the what-if kind of questions. So you want in a data democratized world to be able to encourage people to say I wonder if this is true, I wonder if this happened and have the data to support that question. And people talk a lot about failing fast, glibly, what does that mean? Well I wonder if right now women in Montana in summertime buy more sunglasses. Where's the data that can answer that question? I want that quickly to me and I want in five minutes to say boy Joe, that was really stupid. I failed and I failed fast but it wasn't because I spent the next six weeks looking for the data assets, it's because I had the data, got analysis really quickly and then moved on to something else. The people that can churn through those questions fastest will be the ones that win. >> Very cool, I'm one of those people I love swimming into data always seeing what you can learn. Customers that want to get started, what do you recommend, what are the first steps? >> So the first thing is really about critical use case identification. Again no one wants to stockpile data so we need to start to think about how the data is going to affect an outcome and think about that user outcome. Is it someone asking in natural language a question of an application to drive a certain behavior? Is it a real time decision, what is the thing that you want to get good at? I've mentioned that TD wanted to be good about customer experience and offer development. If you think about what Target did there's a notorious story about them being able to predict pregnancy because they recognized that there was an important moment, there was a behavioral change in consumers that would overall change how they buy. What's important to you, what data might be relevant for that, anchor it there, start small, go start to operationalize the pipes that get you the data that you need and encourage a lot of experimentation with these data assets that you've got. You don't need to create petabytes of data. Create the data sets that matter and then grow from use case to use case. One of our customers SunLife did a wonderful job of really trying to articulate seven or eight key use cases that would matter and built their lake accordingly. First it was about customer behavior then it was employee behavior. If you can start to think about your customers and what they care about there's a person out there that cares about customer attrition. There's a person out there that cares about employee attrition, there's a person out there that cuts costs about cost of delivery of goods. Let's figure out what they need and how to use analytics to drive that and then we can start to get smart about the data assets that can really cause that analytics to explode. >> All right well Joe, really appreciate all the updates on the catalogs there, data at the center of digital transformation for so many customers and illuminating some key points there. >> Happy to be here. >> All right thank you so much for watching theCUBE, I'm Stu Miniman. (upbeat music)

Published Date : May 17 2019

SUMMARY :

and to help me do that, I want to welcome All right so the data catalog, let's start there. You should be able to see what you have, that's available to you in that environment. Yes, it seems like - metadata is something we often are authorized to see that and if you wanted the demographic information, you need to be able do you have an Amazon Alexa in your house? That's right so you don't want Thank you Joe, boy, I think back in the world, So when you and I have a conversation and what you need to be able to do is, there's the data to prove it and what we and instead of having to call somebody for the data to change, then you go to score it So you need to understand what is this data, At the end of the day, but at the end of the day you have data and have the data to support that question. what do you recommend, what are the first steps? the pipes that get you the data that you need data at the center of digital All right thank you so much

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Yaron Haviv, Iguazio | CUBEConversation, April 2019


 

>> From our studios in the heart of Silicon Valley. HOLLOWAY ALTO, California It is a cube conversation. >> Hello and welcome to Cube conversations. I'm James Kabila's lead analyst at Wicked Bond. Today we've got an excellent guest. Who's a Cube alumnus? Par excellence. It's your own Haviv who is the founder and CEO of a guajillo. Hello. You're wrong. Welcome in. I think you're you're coming in from Tel Aviv. If I'm not mistaken, >> right? Really? Close the deal of any thanks from my seeing you again. >> Yeah. Nice to see you again. So I'm here in our Palo Alto studios. And so I'm always excited when I can hear your own and meet with your room because he always has something interesting in new to share. But what they're doing in the areas of cloud and serve earless and really time streaming analytics And now, data science. I wasn't aware of how deeply they're involved in the whole data Science pipelines, so ah, your own. This is great to have you. So my first question really is. Can you sketch out? What are the emerging marketplace requirements that USA gua Si are seeing in the convergence of all these spaces? Especially riel time streaming analytics edge computing server lis and data science and A I can you give us a sort of ah broad perspective and outlook on the convergence and really the new opportunities or possibilities that the convergence of those technologies enable for enterprises that are making deep investments. >> Yeah, so I think we were serving dissipated. What's happening now? We just call them different names will probably get into into this discussion in a minute. I think what you see is the traditional analytics and even data scientist Science was starting at sort of a research labs, people exploring cancer, expressing, you know, impact. Whether on, you know, people's moved its era. And now people are trying to make real or a Y from a guy in their assigned, so they have to plug it within business applications. Okay, so it's not just a veil. A scientist Inning the silo, you know, with a bunch of large that he got from his friends, the data engineer in the scan them and Derrickson Namesake runs to the boss and says, You know what? You know, we could have made some money in a year ago. We've done something so that doesn't make a lot of impact on the business, where the impact on the business is happening is when you actually integrate a I in jackpot in recommendation engines in doing predictive analytics on analyzing failures and saving saving failures on, you know, saving people's life. Those kind of use cases. Doctors are the ones that record a tighter integration between the application and the data and algorithms that come from the day I. And that's where we started to think about our platform. Way worked on a real time data, which is where you know, when you're going into more production environment of not fatal accident. Very good, very fast integration with data. And we have this sort of fast computation layer, which was a one micro services, and now everyone talks about micro services. We sort of started with this area, and that is allowing people to build those intelligent application that are integrated into the business applications. And the biggest challenges they see today for organizations is moving from this process of books on research, on data in a historical data and translating that into a visit supplication or into impact on business application. This is where people can spend the year. You know, I've seen the tweet saying with build a machine learning model in, like, a few weeks. And now we've waited eleven months for the product ization. So that artifact, >> Yes, that's what we're seeing it wicked bomb. Which is that A. I is the heart of modern applications in business and the new generation of application developers, in many ways, our data scientists, or have you know, lovers the skills and tools for data science. Now, looking at a glass zeros portfolio, you evolve so rapidly and to address a broader range of use cases I've seen. And you've explained it over the years that in position to go, as well as being a continuous data platform and intelligent edge platform, a surveillance platform. And now I see that you're a bit of a data science workbench or pipeline tooling. Clever. Could you connect these dots here on explain what is a guajillo fully >> role, Earl? Nice mark things for this in technology that we've built, OK, just over the years, you know, people, four years when we started, So we have to call it something else. Well, that I thought that analytic sort of the corporate state of science. And when we said continued analytics, we meant essentially feeding data and running, some of them speaking some results. This is the service opposed to the trend of truth which was dating the lady Throw data in and then you run the batch that analytic and they're like, Do you have some insight? So continue statistics was served a term that we've came up with a B, not the basket. You know, describe that you're essentially thinking, needing from different forces crunching it, Prue algorithms and generating triggers and actions are responsible user requests. Okay on that will serve a pretty unique and serve the fireman here in this industry even before they called it streaming or in a real time, data science or whatever. Now, if you look at our architecture are architecture, as I explained before, is comprised of three components. The first event is a real time, full time model database. You know, you know about it really exceptional in his performance and its other capabilities. The second thing is a pursue miss engine that allows us to essentially inject applications. Various guys, initially we started with application. I sense you do analytics, you know, grouping joining, you know, correlating. And then we start just adding more functions and other things like inference, saying humans recognitions and analysis. It's Arab is we have dysfunction engine. It allows us a lot of flexibility and find the really fast for the engine on a really fast data there endure it, remarkable results and then this return calling this turn this micro assume it's finger serve Ellis who certainly even where have the game of this or service gang. And the third element of our platform is a sense she having a fully manage, passed a platform where a ll those micro services our data and it threw a self service into face surfing over there is a mini cloud. You know, we've recently the last two years we've shifted to working with coronaries versus using our own A proprietary micro spurs does or frustration originally. So we went into all those three major technologies. Now, those pit into different application when they're interesting application. If you think about edge in the engine in serving many clouds, you need variety of data, sources and databases. With you, no problem arose streaming files. Terra. We'LL support all of them when our integrated the platform and then you need to go micro services that developed in the cloud and then just sort of shift into the enforcement point in the edge. And you need for an orchestration there because you want to do suffer upgrades, you need to protect security. So having all the integrated separated an opportunity for us to work with providers of agin, you may have noticed our joint announcement with Google around solution for hedge around retailers and an i O. T. We've made some announcement with Microsoft in the fast. We're going to do some very interesting announcement very soon. We've made some joint that nonsense with Samsung and in video, all around those errands, we continue. It's not that we're limited to EJ just what happens because we have extremely high density data platform, very power of fish and very well integrated. It has a great feat in the India, but it's also the same platform that we sell in. The cloud is a service or we sell two on from customers s so they can run. The same things is in the clouds, which happens to be the fastest, most real time platform on the Advantage service. An essential feature cannot just ignore. >> So you're wrong. Europe. Yeah, Iguazu is a complete cloud, native development and run time platform. Now serve earless in many ways. Seems to be the core of your capability in your platform. New Cleo, which is your technology you've open sourced. It's bill for Prem bays to private clouds. But also it has is extensible to be usable in broader hybrid cloud scenarios. Now, give us a sense for how nuclear and civilised functions become valuable or useful for data science off or for executing services or functions of data of the data science pipeline kick you connect the dots of nuclear and data science and a I from the development standpoint >> church. So So I think you know, the two pillars that we have technology that the most important ones are the data. You know, we have things like twelve batons on our data engine is very high performance and nuclear functions, and also they're very well integrated because usually services stateless. So you know, you you end up. If you want to practice that they have some challenges with service with No, no, you can't. You stay for use cases. You can mount files. You have real time connections to data, so that makes it a lot more interesting than just along the functions. The other thing, with no clothes that is extremely high performance has about two hundred times faster than land. So that means that you can actually go and build things like the stream processing and joins in real time all over practice, their base activities. You can just go and do collectors. We call them those like things. Go fetch information from whether services from routers for the X cybersecurity analysis for all sorts of sensors. So those functions are becoming like, you know, those nanobots technology of off the movies is that you just send them over to go and do things for you, whether it's the daily collection and crunching, whether it's the influencing engines, those things that, for example, get a picture of very put the model, decide what's in the picture, and that this is where we're really comes into play. They nothing important you see now an emergence off a service patterns in data science. So there are many companies that do like mother influencing as a service city what they do, they launch an end point of your eleven point and serve runs the model inside you send the Vector America values and get back in the Americans and their conversion. It's not really different and service it just wait more limited because I don't just want to send a vector off numbers because usually I understand really like a geo location of my cellphone, which are user I D. And I need dysfunction to cross correlated with other information about myself with the location. Then came commendation of which a product they need to buy. So and then those functions also have all sorts of dependency exam on different packages. Different software environment, horribles, build structures, all those. This is really where service technologies are much more suitable now. It's interesting that if you'LL go to Amazon, they have a product called Sage Maker. I'm sure yes, which is dinner, then a science block. Okay, now sage mint for although you would say that's a deal use case for after Onda functions actually don't use Amazon London functions in sage maker, and you ask yourself, Why aren't they using Lambda Stage Maker just telling you, you know you could use Lambda is a blue logic around sage maker. And that's because because London doesn't feed the use case. Okay, because lambda doesn't it is not capable of storing large content and she learning miles could be hundreds of megabytes or Landa is extremely slow. So you cannot do hi concurrency influencing with will land the function so essentially had to create another surveillance and college with a different name. Although if they just would have approved Landa, maybe it was one or a Swiss are So we're looking, We've took it, were taken the other approach We don't have the resources that I have so we created a monster virus Engine one servant attention does batch Frost is saying scream processing, consort, lots of data, even rocketeer services to all the different computation pattern with a single engine. And that's when you started taking all this trend because that's about yeah, we need two version our code. We need to, you know, record all our back into dependencies. And although yes, service doesn't so if we just had to go and tied more into the existing frameworks and you've looked at our frantically product called Tokyo Jupiter, which is essentially a scientist, right, some code in his data's passport book and then in clicks. One command called nuclear Deploy, it automatically compiles, is their science artifact in notebooks, that server and converted into a real hand function that can listen in on your next city. People can listen on streams and keep the scheduled on various timing. It could do magic. So many other things. So, and the interesting point is that if you think about their scientists there, not the farmers, because they should be a scientist on this's means that they actually have a bigger barrier to write in code. So if you serve in this framework that also automates the law daughter scaling the security provisioning of data, the versions of everything in fact fantasies, they just need to focus on writing other them's. It's actually a bigger back for the book. Now, if you just take service into them, Epstein's and they will tell you, Yeah, you know, we know how to explain, Doctor. We know all those things, so they're very their eyes is smaller than the value in the eyes of their scientists. So that's why we're actually seeing this appeal that those those people that essentially focus in life trying math and algorithms and all sorts of those sophisticated things they don't want to deal with. Coding and maintenance are refreshed. And by also doing so by oppression analyzing their cool for service, you can come back to market. You can address calle ability to avoid rewriting of code. All those big challenges the organizations are facing. >> You're gonna have to ask you, that's great. You have the tools to build, uh, help customers build serve Ellis functions for and so forth inside of Jupiter notebooks. And you mentioned Sage Maker, which is in a WS solution, which is up in coming in terms of supporting a full data science tool chain for pipeline development. You know, among teams you have a high profile partnerships with Microsoft and Google and Silver. Do you incorporate or integrator support either of these cloud providers own data science workbench offerings or third party offerings from? There's dozens of others in this space. What are you doing in terms of partnerships in that area? >> Yeah, obviously we don't want to lock us out from any of those, and, you know, if someone already has his work bench that I don't know my customers say they were locking me into your world back in our work when things are really cool because like our Jupiter is connected for real time connections to the database. And yes, serve other cool features that sentir getting like a huge speed boost we have. But that's on A with an within vigna of round Heads and Integration, which reviews are creating a pool of abuse from each of one of the data scientist running on African essentially launch clubs on this full of civilians whose off owning the abuse, which are extremely expensive, is you? No. But what we've done is because of her. The technology beside the actual debate engine is open source. We can accept it essentially just going any sold packages. And we demonstrate that to Google in danger. The others we can essentially got just go and load a bunch of packages into their work match and make it very proposed to what we provide in our manage platform. You know, not with the same performance levels. Well, functionality wise, the same function. >> So how can you name some reference customers that air using a guajillo inside a high performance data science work flows is ah, are you Are there you just testing the waters in that market for your technology? Your technology's already fairly mature. >> That says, I told you before, although you know, sort of changed messaging along the lines. We always did the same thing. So when we were continuous analytics and we've spoken like a year or two ago both some news cases that we Iran like, you know, tell cooperators and running really time, you know, health, a predictive health, monitoring their networks and or killing birds and those kind of things they all use algorithms. You control those those positions. We worked with Brian nailing customers so we can feed a lot of there there in real time maps and do from detection. And another applications are on all those things that we've noticed that all of the use cases that we're working with involved in a science in some cases, by the way, because of sort of politics that with once we've said, we have analytics for continuous analytics, we were serving send into sent into the analytic schools with the organization, which more focused on survey data warehouse because I know the case is still serve. They were saying, and I do. And after the people that build up can serve those data science applications and serve real time. Aye, aye. OK, Ianto. Business applications or more, the development and business people. This is also why we sort of change are our name, because we wanted to make it very clear that we're aren't the carnage is about building a new applications. It's not about the warehousing or faster queries. On a day of Eros is about generating value to the business, if you ask it a specific amplification. And we just announced two weeks in the investment off Samsung in Iguazu, former that essentially has two pillars beyond getting a few million dollars, It says. One thing is that they're adopted. No cure. Is there a service for the internal clouds on the second one is, we're working with them on a bunch of us, Della sighs. Well, use case is one of them was even quoted in enough would make would be There are no I can not say, but says she knows our real business application is really a history of those that involves, you know, in in intercepting data from your sister's customers, doing real time on analytics and responding really quickly. One thing that we've announced it because of youse off nuclear sub picture. We're done with inferior we actually what were pulled their performance. >> You're onto you see if you see a fair number of customers embedding machine learning inside of Realtor time Streaming stream computing back ones. This is the week of Flink forward here in San San Francisco. I I was at the event earlier this week and I I saw the least. They're presenting a fair amount of uptake of ml in sight of stream computing. Do you see that as being a coming meet Mainstream best practice. >> Streaming is still the analytics bucket. OK, because what we're looking for is a weakness which are more interactive, you know, think about like, uh, like a chatterbox or like doing a predictive analytic. It's all about streaming. Streaming is still, you know, it's faster flow data, but it's still, sir has delay the social. It's not responses, you know. It's not the aspect of legacy. Is that pickle in streaming? Okay, the aspect of throughput is is higher on streaming, but not necessarily the response that I think about sparks streaming. You know, it's good at crossing a lot of data. It's definitely not good at three to one on would put spark as a way to respond to user request on the Internet S O. We're doing screaming, and we see that growth. But think where we see the real growth is panic to reel of inches. The ones with the customer logs in and sends a request or working with telcos on scenarios where conditions of LA car, if the on the tracks and they settled all sorts of information are a real time invent train. Then the customer closer says, I need a second box and they could say No, this guy needs to go away to that customer because how many times you've gotten technician coming to your house and said I don't have that more exactly. You know, they have to send a different guy. So they were. How do you impact the business on three pillars of business? Okay, the three pillars are one is essentially improving your china Reducing the risk is essentially reducing your calls. Ask him. The other one is essentially audio, rap or customer from a more successful. So this is around front and application and whether it's box or are doing, you know our thing or those kind of us kisses. And also under you grow your market, which is a together on a recommendation in at this time. So all those fit you if you want, have hey, I incorporated in your business applications. In few years you're probably gonna be dead. I don't see any bits of sustained competition without incorporating so ability to integrate really real data with some customer data and essentially go and react >> changes. Something slightly you mentioned in video as a partner recently, Of course, he announced that few weeks ago. At their event on, they have recently acquired Melon ox, and I believe you used to be with Melon Axe, so I'd like to get your commentary on that acquisition or merger. >> Right? Yes, yes, I was VP Data Center man Ox. Like my last job, I feel good friends off off the Guider, including the CEO and the rest of the team with medicines. And last week I was in Israel's with talk to the media. Kansas. Well, I think it's a great merger if you think about men in Ox Head as sort of the best that breaking and storage technology answer Silicon Side and the video has the best view technologies, man. It's also acquired some compute cheap technologies, and they also very, very nice. Photonics technologies and men are today's being by all the club providers. Remiss Troll was essentially only those technical engagement would like the seizures and you know the rest of the gas. So now VP running with the computation engine in and minerals coming, we serve the rest of the pieces were our storage and make them a very strong player. And I think it's our threatens intel because think about it until they haven't really managed to high speed networking recently. They haven't really managed to come with Jiffy use at your combat and big technology, and so I think that makes a video, sort of Ah, pretty. You know, vendor and suspect. >> And another question is not related to that. But you're in Tel Aviv, Israel. And of course, Israel is famous for the start ups in the areas of machine learning. And so, especially with a focus on cyber security of the Israel, is like near the top of the world in terms of just the amount of brainpower focused on cyber security there. What are the hot ML machine? Learning related developments or innovations you see, coming out of Israel recently related to cybersecurity and distributed cloud environments, anything in terms of just basic are indeed technology that we should all be aware of that will be finding its way into mainstream Cloud and Cooper Netease and civilised environments. Going forward, your thoughts. >> Yes, I think there are different areas, you know, The guys in Israel also look at what happens in sort of the U. S. And their place in all the different things. I think with what's unique about us is a small country is always trying to think outside of the box because we know we cannot compete in a very large market. It would not have innovation. So that's what triggers this ten of innovation part because of all this tippy expects in the country. And also there's a lot of cyber, you know, it's time. I think I've seen one cool startup. There's also backed by our VC selling. Serve, uh, think about like face un recognition, critical technology off sent you a picture and make it such that you machine learning will not be able to recognize Recognize that, you know, sort of out of the cyber attack for image recognition. So that's something pretty unique that I've heard. But there are other starts working on all the aspects on their ops and information in our animal and also cyber automated cyber security and hope. Curious aspect. >> Right, Right. Thank you very much. Your own. This has been an excellent conversation, and we've really enjoyed hearing your comments. And Iguazu. It was a great company. Quite quite an innovator is always a pleasure to have you on the Cube. With that, I'm going to sign off. This is James Kabila's with wicked bond with your own haviv on dh er we bid You all have a good day. >> Thank you.

Published Date : Apr 4 2019

SUMMARY :

From our studios in the heart of Silicon Valley. It's your own Haviv Close the deal of any thanks from my seeing you again. new opportunities or possibilities that the convergence of those technologies enable for A scientist Inning the silo, you know, with a bunch of large that Which is that A. I is the heart of modern applications built, OK, just over the years, you know, people, four years when we started, of data of the data science pipeline kick you connect the dots of nuclear and data science and a I from So, and the interesting point is that if you think You know, among teams you have a high profile partnerships with Microsoft and, you know, if someone already has his work bench that I don't know my customers say they were locking me are you Are there you just testing the waters in that market for your technology? you know, in in intercepting data from your sister's customers, This is the week of Flink forward here in San San Francisco. And also under you grow your market, which is a together Melon ox, and I believe you used to be with Melon Axe, so I'd like to get your commentary on that acquisition Well, I think it's a great merger if you think about men in in terms of just the amount of brainpower focused on cyber security there. And also there's a lot of cyber, you know, it's time. Quite quite an innovator is always a pleasure to have you on the Cube.

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Nancy Hart & Dale Degen, NetApp | NetApp Insight 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE covering NetApp Insight 2018, brought to you by NetApp. >> Welcome back to theCUBE. I'm Lisa Martin with Stu Miniman, live in Las Vegas at Mandalay Bay at NetApp Insight 2018, the third annual with customers, partners, endless press, NetAppians. We're excited to welcome two alumni back to theCUBE. We have Nancy Hart, Head of Marketing for Cloud Infrastructure at NetApp, and Dale Degen, Cloud Infrastructure Business Director. Guys, welcome back to theCUBE. >> Thank you so much. It's so great to see you guys again. >> Likewise. So we got back from a standing room only keynote, thousands of people here, and one of the interesting things, Nancy, that Stu and I both observed were today no product announcements. It was really about concepts. The first time we heard anything architecture related was really the Data Fabric, but George Kurian, the CEO of NetApp, talked about the four principles of digital transformation. >> Nancy: Right >> I wonder if we can unpack those with you guys. >> Nancy: Yes >> The first one talking about digital transformation requires IT transformation. >> Nancy: Yes >> Talk to us about that speed as the new scale. What does that mean for NetAPP as a company that needs transformed... >> Nancy: Right >> and to your customers? >> So it means for our customers the idea is that speed is the new scale, right. That to create new businesses, to create new opportunities, to create new revenues, there has to be a lot more agile and agilent on their ITs. Right. So, NetApp will really focus on doing is how to break down the barriers between Dev and Ops. The days of silos, months of provisioning all of that is now gone. Because companies need to now help their teams build faster, build better, and that's really what George was talking about, in this idea that the speed is the new scale. And if our customers are not driving IT agile... Agile IT operations on their own data centers, their competitors certainly are. >> How does... NetApp talks a lot about being driven, the data authority and hybrid cloud. George also said hybrid clouds do in multi-cloud or the defacto architecture. >> Yes >> When you talk with customers, how do they digest "NetApp's going to help "me be data driven?" >> Nancy: Right >> What's that conversation like? >> So, looks like a lot these days, we have our customers, they have their own users, their own internal DevOps team who have gotten very used to taking their Corporate AMEX and running up the Amazon, setting up a new compute shape or storage. The thing is we see customers are trying to rebalance where they put their data cap with data, where they put their applications. Do somethings being, belong in public cloud? Absolutely, but there is also this natural rebalance, that not every application should be in the cloud. For reasons of data governance, perhaps cost, whatever it is, when they build that next new application, it may be in the data center. So, to make that work is the idea of a hybrid multi-cloud experience, and the key part of that is the experience. It's not a management experience. It's a consumption experience. It's a very seamless, simple consumption experience if you've got up in the public cloud, but in a private cloud in your data center. >> Stu: Nancy, I like that. We've always, we've been saying on theCUBE for a couple of years now, cloud is not a destination, it's an operating model. >> Yes It's the way we need to think things, but Dale, when I talk to customers, we talk about their cloud strategy, we talk about what they want, every single one of them, totally different. How much they're doing SaaS , versus how many mulvic public lines they're doing, and of course, they're still figuring out what they've got in their traditional data centers. And its that certain companies have been selling them multiple products, they've got their data all spread out, so, are we getting away from silos, how architecturally do we build this? There's so much differentiation out in the marketplace today. It'd be lovely to have a magic wand and say "Oh, everything's, "you know, simple." But that really hasn't been the case in an enterprise IT. >> Dale: I think you nailed it the way you described it right there You have an enterprises that have built up a collection of applications, some of them have been given a cloud mandate. And so, that means something different to everyone. Sometimes they're going out all SaaS, sometimes they're saying, "I want to put everything, "all my storage in the cloud." We're seeing an interesting moment in time where, there's almost a reaction to that, and finding out maybe there's silos within different public cloud service providers, maybe the monthly cost is a little bit larger than what people might have expected on that. At NetApp, we've been working with our customers, I kind of love being here because the last couple years has just been this huge transformation of the company around that, taking a lot of our customers have viewed us as number one in storage the trusted provider on that. I really, expanding out to a more data driven solution on there. And things we've done internally to address side is really focused on different business imperatives there. Because I think each of our customers has their data center that they need their rock solid applications on. They're thinking about this journey to the cloud. They're trying to innovate with acceleration in the cloud with different services with the cloud public... the biggest public clouds and along the way they're also saying "I need some of that agility internally." And so we've, we've really built that, to build out your kind of a hybrid multi cloud experience. And the company strategy is coming together. We're seeing investments, we're seeing growth and announcements and all of those. >> So one of the interesting things that I observed in the keynote this morning was NetApp being 26 year old, 26 years young company, right? Massive install base. You've got a lot of customers who were not born in the digital age and George Kurian your CEO seems to kind of address them almost right out of the gate. >> Nancy: Yes. >> So let's talk about the data fabric a little bit more. Let's unpack that because some of the messaging seems to be reflecting that, that, and I think Anthony liked talked about this a little bit this morning in the keynote as well. It, it's, it's transforming from a vision to an architecture for your customers, your incumbent enterprise customers who were not born in the cloud, what does being data driven mean to them? How are they embracing this architecture idea of the data fabric and using it to use their data to identify new customer touchpoints, deliver new services, increased revenue? >> Dale: So we're seeing a lot of our customers really transform their business to take advantage of these new services in the cloud. The value that a lot of them are bringing to us is they have a massive amount of institutional data that maybe was in different silos. May be they had different as a service offerings touching it. We're able to bring it together with the data fabric. So now they can consolidate this into a large amount of tangible data. You can have multiple as a service solutions and services coming from public cloud service providers to do analytics on data. For example, we have energy companies that have seismic data from 50 years ago that is sitting on tapes. It's better than anything they could even get today. They bring it all together and now they're doing data analytics on this and they're finding new ways to really take advantage of that. So we're seeing that across the board and we're, Our goal is to try to move them along that journey. >> Nancy: Yes >> Stu: Nancy, could you give us a little insight as to who you're selling to? >> Yes Where is NetApp getting involved in kind of those strategic discussions? As I said, >> Great >> you know everybody's got a cloud strategy, but I said usually the external still drawing and it's something you need to revisit often so you know where is NetApp seat at that table? You've got a lot of partners here >> Nancy: Yes >> and how are things changing? >> Nancy: So, a lot of things are changing a lot of ways for Netapp and the companies that we're selling to and who we're selling to at those companies. We certainly see a lot of new buyers and it's interesting to see now that the decision making, the who's sitting at the decision table when they make that decision of what kind of infrastructure to purchase, is it getting larger and larger group and now we're really seeing the Dev teams, their internal Dev ops teams have a seat at that table who are and they're having significant influence on the infrastructure and operations teams on what kind of investments that companies should be making. Right, so, working with partners, going to market through the largest public hyper scalers and reaching these new buyers and new and existing accounts as well. So even if there is a traditional part of the data center, I guarantee you somewhere in every company there's a new Dev team working on new business models. And so we want to attend (mumbles) >> Lisa: Does the conversation Nancy, start at the business outcomes level? >> Nancy: Absolutely. >> And, and your perspective, how are you seeing some of the more technical folks in an organization participating in a business outcomes driven conversation where it's more about these are the things we need to do to, to compete to increase our revenue. What, how is that persona based conversation changing? So actually I have a story from a customer meeting earlier this week, right? And so we were talking with the customer about data fabric and what we can do and how we can deliver a seamless experience between public and private clouds. And we walked out of their room and the gentleman from the customer who's I walked in that room as a storage admin and I walked out as a data fabric architect. Right. >> Lisa: It's pretty good validation >> It's pretty good validation. It's happening right now like the personas, even personas that we've traditionally known are certainly changing. What do yo say? >> So that point we're seeing some of the attributes that service providers are offering. We're seeing enterprises at the same time trying to build those up scale. And it's really been amazing as we're seeing you, you spoke about speed is the new agility on here and it's really the agility to be kind of build those infrastructures quickly and take advantage of that at a business advantage level. And a lot of the most technical customers of ours are saying now they're kind of at a, they have a seat at the table to kind of inspire some of those business innovations. They, they see how they could make the company more efficient and all of a sudden they're getting a lot more attention at the C level. >> Stu: Alright. So a few years ago there was the wave of big data, you know, it was really what I summed it up. One of the key findings was it was that bit flip of saying, oh my gosh, I have so much data to, Oh yes, yes, I've got so much data and I can take advantage of it. What I want you to help connect us is when you talk about being data driven, NetApp at its core is you know, there's storage, there's infrastructure, there's software. How do I then get the insights and the value out of the data, the data that I've helped my customers get to? >> Nancy: So let me give you an example of what NetApp is doing around this very issue, right? So we have a very large install base like you talked about. We have a new product called the active IQ. And what it does is based on community wisdom pulled from 30,000 or more installed systems across our entire customer base. And what we do is we use AI ML to extract value and intelligent insights and then actionable plans for our customers. So even if a customer doesn't have 30,000 units installed, they can take advantage of all of that knowledge themselves. So we drink our own champagne and we apply the things that we learned, but we can also help customers do the same thing in their own business as an extract value from their own data. >> Lisa: I'm curious too, from a company as as history does NetApp, formerly network appliance, how is NetApp drinking our own champagne example? How does that influence customers perspective on NetApp's transformation and convince a customer to trust NetApp and go, "yes, this is a partner "that I want to work with "to help us be able "to just do point, "not just a mass, "a tonne of data "and the silo, "but extract insights that are "essential to try this, this change." >> Dale: So we actually have some breakout sessions here where NetApp IT is speaking to that a talking about how we have NetApp on NetApp. You know we've got the active IQ data coming in, so an all flash fas tier being teared down through east series to object storage to a giant data lake of active IQ doing analytics on that. And so that's a great reference for us. We're able to have them speak to our customers directly, eye to eye in our executive briefing center, and oftentimes that pushes them over the edge on that one. >> Nancy: Because we're living the dream and we're making our own mistakes along the way and so when we have folks from our NetApp's own IT department come speak with customers, it's very credible about we did this at work, we did this. It didn't work so much. Right? But we're in that same transformation journey as our customers as well. >> Well, the failure I always say is my, It's not a bad word. It's part of that journey. >> Nancy: Yes. Well, finishing up Nancy with you. Talk to us about the media customer example that really articulates the value that NetApp is delivering as an enabler of the data driven company. >> So one of my favorites these days as we work with a company called Children's Mercy Hospital, Kansas City, right? And they brought us new Ciox and he was really interested in transforming the IT experience for his clinicians. Right. These are the people that work with kids in the hospital, sick kids, they're stressed out families. And I love this story because it's very easy for me to imagine if my child was in the hospital, how stressed out I would be to have a clinician walk in fast, easy access, the latest data about my child, a happy clinician. That would be such an impact to me. And so to see what our customers are doing at children's mercy and they'll also multi cloud they've got their own private clouds are accelerating their VDI, they're working with public clouds all through NetApp product in the end to help those kids and to help maybe some moms on wherever you are, just a smidge less. >> Lisa: Are you helping them to use some of the emerging technologies, IoT AI to drive faster, better outcomes and decision making for these in these critical literally life and death situations? >> So the first project we're working on them as about accelerating their VDI. How does he get a virtual desktop to all his clinician? So whatever room that clinician is in, he has access. So she has access to the latest data about that child. Right. And to make the overall just a better experience so that the new ciox is very keen on just delivering a better experience, not better technology, but a better experience for his clinicians and for his patients. >> Nancy, Dale, thanks so much for stopping by on day one of insight. We appreciate your time. Got to give you some cubes stickers because you're doubling the alumni now. Real. Exactly. We want to thank you. I'm Lisa Martin with Stu Miniman for watching the cube. Again, we're live all day at NetApp Insight 2018. Stick around. Stu and I will be right back with our next guest.

Published Date : Oct 23 2018

SUMMARY :

brought to you by NetApp. the third annual with customers, It's so great to and one of the interesting things, The first one talking about digital Talk to us about that speed as the new scale. that speed is the new scale, right. the data authority and the key part of that is the experience. for a couple of years now, It's the way we need and along the way So one of the interesting architecture idea of the data fabric of them are bringing to us and the companies and the gentleman from like the personas, And a lot of the most and the value out of the data, and we apply the things and convince a customer to and oftentimes that pushes along the way Well, the failure I always say is my, It's not a bad word. the value that NetApp is in the end to help so that the new ciox is Got to give you

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Jean Younger, Security Benefit & Donna O’Donnel, UiPath | UiPath Forward 2018


 

>> Announcer: Live from Miami Beach, Florida, it's theCUBE, covering UiPath Forward Americas, brought to you by UiPath. >> Welcome back to Miami, everybody. You're watching theCUBE. We're at UiPath Forward Americas. Dave Vellante with Stu Miniman. TheCUBE is the leader of, what are we the leader of? (laughs) >> Live tech coverage, Dave. >> The leader in live tech coverage. I've been blowing that line every week. Thanks for watching, everybody. We've got a great segment here. Jean Younger is here. She's the vice president, Six Sigma Leader, Security Benefit. She's to my near left, and Donna O'Donnell is here, director of key accounts at UiPath all the way from New York. Donna, thanks for coming on. >> Thank you. >> Dave: Great to see you guys. >> Thank you for having us. >> Thank you. >> All right, so we're well into day one. We're getting the Kool-Aid injection from customers and UiPath constituents, but Jean, let's start with you. Talk about your role, what's the company do, fill us in. >> Our company is an annuity company. We sell financial products for life insurance and annuities. We have about 30 billion under management, so it's a fairly large company out of Kansas. So, my role there is as a Six Sigma leader. We go in and we look at areas that need improvement or across the company, and one of the things I found, I'd been with the company almost five years now, and what I found is a lot of times, we're really good about putting manual processes in and never getting rid of 'em. We have day two issues of a tech. A tech goes live and you got a list of day two stuff that didn't get fixed, never gets fixed. It's just easier to do it, and cheaper, to leave it manual. So we have a lot of that in the company. With my job, seeing the various processes throughout the company, I was like what can we do to get rid of some of this stuff, get rid of that, get knowledge work back on the worker's plate instead of manipulating a spreadsheet or creating a report that they do every morning and it takes 'em the first 30 minutes or the first seven hours of their day is creating this one report every single day. We started looking at technology and came across UiPath. >> See, we call it GRS, getting rid of stuff. >> Jean: Yep. >> So, Donna, your job is to make these guys successful, right? >> Absolutely, so basically I just facilitate the smart people within the company. I listen to the business needs that Jean and other large clients have. We bring the resources, the products, and if we can't find it, we will absolutely find it and do everything we can to meet the needs. >> So, what's your automation story? When'd you get started? Paint a picture for us, the size, the scope. >> Okay, so last year about this time is when I started looking into it. I had just rolled out of another area that we had completely destroyed and built back up, and I was on to my next escapade in security benefit. >> Dave: Are you a silo buster, is that the new-- >> Yeah, I kind of go in and fix things. I'm kind of a fixer is basically what my job is. We'd rolled out and came back into Six Sigma to start looking and this came up. I'd seen the technology and I was like I wonder if it could work in our company. And so, we started doing kind of dog and pony show. We'd pull the different silos in, talk to 'em and say hey, here's what RPA can do for you. Is that something that you have some processes that might work? And we knew that there were processes in there, but we brainstormed with 'em for about 30 minutes. And out of that 30 minute, hour long conversation, we came out of there with about a hundred processes that people had already identified. And we kept going through there, I took that information, I built a business case, 'cause I knew to get the money, I needed to show them that there would be cost out potentially, and/or that I could take resources and move 'em into more critical areas that we didn't have the staffing. And so I had instances where, one of them that we're doing is out of our HR department. During the raise and salary time, they had two individuals that spent 60 hours a week for four months doing the same thing, same report over and over, and that's one of the processes we're actually going to implement here pretty soon. So, I came up with 'em and put the business plan together and asked for the money, and after kind of a long journey, I got the money. >> Long journey. (Jean and Donna laugh) >> It's never short enough is it? Jean, I mean, one of the things, Six Sigma is really good at measuring things. I mean, that's how you understand everything. You want to reduce variation. There was a line that really jumped out at me at the keynote is I want to go from pretty accurate to perfectly accurate, and when you were describing that there were a lot of things that were manually done. I mean, I lived in engineering for a lot of years and it was anything that somebody had to manually do, it was like oh wait, how can we change that? Because we didn't have RPA 10 years ago when I was looking at this, but how are you measuring these results? You talked about people doing repetitive tasks and the like. What other things are you finding to help get you along those reducing the variation inside the company? >> You know, it's interesting because I also teach the Six Sigma courses there, and one of my slides I've had for years teaching that class is most business processes are between 3.2 and 3.6, 3.8 sigma, which is like 95 to 98% accurate, and I said that's all the better we can usually do because of the expense that it would normally be to get us to a Six Sigma. You look at the places that have Six Sigma. It's life threatening, airplane engines. You hope they're at least Seven Sigma, those type of things, but business processes? 3.5, 3.2. But now, I get to change that because with RPA, I can make them Six Sigma very cheap, very cheaply, because I can pull 'em in, I got my bot, it comes over, pulls the information, and there's no double-keying. There's no miskeys. It's accuracy, 100% accuracy. >> So, what's the ripple effect in terms of the business impact? >> Cost savings, efficiency, customer experience. I mean, think about it. You're a customer, you get your policy, your name's wrong. How happy are you? You're not real happy. You send it back. So, no more of that. I mean, that's huge. So anything touching the customer going out of our business should be exactly how they put it on the application, especially if it was typed. Now, if it was handwritten, all hands are down on that, but if it was typed, it should be accurate. >> Donna, that's really powerful. I worked in a large corporation, we had a Six Sigma initiative and we know how much time and effort and people we were going to put in to have this little movements. >> Incremental change. >> An incremental change here to say. >> Donna: Pretty amazing. >> Blown away to tell you, Six Sigma and it's cheap. Well, what are you seeing? >> And I absolutely see. So, in addition to cost savings, it makes her more agile. But the big thing is, it makes it error free. The robots work 24 hours a day, seven days a week. Runs on itself, and Jean's going to get those efficiencies that she needed. >> How about let's talk more about the business case? I'm interested in the hard dollar piece of it. I've talked to a number of people at this show and others, and they tend not to just fire people. They got to redeploy 'em. Sometimes the CFO goes well, where's my hard dollars come from? So, where did your hard dollars come from? (laughs) >> From the CFO. (laughs) And right now, I have to prove that out yet. We're just in its infancy. We're just starting to bring up processes. In fact, yesterday and today we're dealing with several processes coming up, and so realistically, right now I've got about 300 processes. We haven't timed 'em all out yet, but I know right now that's between probably 12 and 15,000 hours of time savings that we will get on an annual basis. >> Okay, what one of the customers said today is, one example they used is they actually put it in next year's budget >> Correct. >> Which I loved. In other words, we're going to do more revenue for the same headcount, or less cost or whatever it is. That's a reasonable justification, maybe even better, right? Because it's got some forward motion to it. Is that kind of discussion and thinking come up? >> Headcount is under discussion right now. We're going through budgeting right now, and so yeah, that was part of the way that we justified the less headcount. Instead of hiring to fill another position, we would remove jobs from a certain person and be able to shift them into another role. And so that savings, non-hiring, as well as one of the processes we're doing is in our investment area. They couldn't afford to get another person. They couldn't get another headcount, so I gave them a headcount with a bot. I'm doing all their processes that they've only been able to do on a monthly basis, we're doing 'em every day. It's 52 processes they're going to do every day. It's an amazing, I gave 'em a head right there, bam. >> But we're also finding that the folks that were doing the mundane and repetitive tasks can focus on more creative work, more interesting work that they believe in and that they're motivated to do. We see that happening all the time. >> What does that mean for culture inside your company? Was there resistance at first? I have to think it's got to improve morale that it's like oh wait, I'm not getting in trouble for making mistakes now and I can go focus on things that fit better. >> You know, I think ultimately it will. Initially, there was a feeling gosh, the bots are going to take my job. But that was one thing we were pretty careful about initially going out and just saying what is it that you can't do? We all work 50, 60, some of them people are working 70 hours a week, and if I can take 10 or 20 hours away from them, they are lovin' us. There's individuals that are saying come here. I'll show you what I need. They also realize the ability of the bot to do it right all the time takes a little stress off of them, because they know they're going to get the right numbers, then, to analyze, 'cause that's a big thing. In the finance area, in the close, in the accounting area, what we're doing there is we're taking a lot of those simple process that somebody has to do and do them for them so then guess what? We can close earlier, get our books closed earlier in the month, as well as allow them longer time to analyze the results. So instead of the book's closed and then we go uh-oh, found a problem. Got to reopen the ledger and make an entry, we have less and less of that. Those are expectations that are set right now for our teams is that hey, let's get rid of the stuff that we can, and then let's see what's left. >> And Dave, I used to meet with clients and they used to say wow, this is a really interesting technology. Tell me about it. And now they're like holy crap, I'm behind the eight ball with my competition. How do we get this going quick? How do we get it going fast? In 2016, it was a $250 million industry, and by 2021, it's going to be a $3 billion industry we learned today. So it's pretty powerful. >> I think those numbers are low, by the way. >> I think they're low, too. What they said today, it's going to be a $3.4 billion industry. >> I think it's a 10x factor, probably by 2023 to 2025, I think this is going to be a $10 billion business. I've done a lot of forecasting in my life. That's just a gut feel swag, but it sort of feels like that. I think there's some pieces that are, there's some blind spots in terms of use cases and applications that we can't even see yet. Culturally, the light bulb moment, just listening to you, Jean, was the, first of all you're saying, you want your weekends back? Yeah! And then the second is it sounds like the employees are involved in sort of defining those processes, so they own it. >> And that's how we're scaling. I mean, we already realized we're a bottleneck. Our COE is a bottleneck and so we're like hey, right now, finance, it's not the end of the year. It's end of quarter, but those process are lighter than end of the year. So hey, can we get anything done? They're doing our documentation for us. They're actually taping themselves doing it, they're writing up the documentation. We come in and we look at it, and then we have a programmer doing it, but we're talking about how do we move that programming piece down to them as well, so we can get our scale up? Because I can't get through 300 processes in my small COE without a lot of help from the business. >> But Dave, most of our clients, the way that they scale very quickly is through partners. So, partners can do one of many things. They can be the developers, they can be the implementers, they could create the center of excellence, or they could pick which are the low-hanging processes. When we started off with Jean while she was going through the approval process, I brought out four partners, I gave 'em my own little mini RFP. They each had a four-hour time slot. They presented in front of Jean and we narrowed it down to two, and two of the partners are here at this event today. Most clients need to depend on partners. >> Well, that's key Donna, right? And I've said before, when you start seeing the big names that are around here, you know it's an exciting space. They don't just tiptoe and play around and games. They do some serious work for businesses. We got to turn the conversation to diversity, generally, but I also want to ask you specifically about women in tech. So, Stu and I were in a conference at Splunk earlier this week. The CEO of Carnival had a great line about diversity. He said, a big believer in diversity, of course. He's African American, and he said 40 years ago when I cracked in business, there weren't a lot of people I worked with that looked like me. I thought that was striking, Stu. I think there's always been women in tech, but not enough and a lot of stories about things that have happened to women in tech. It's changing slowly. A lot of women enter the field and then leave because they don't see a path to their future in things they like. What do you guys think about the topic, two women here on the panel today, which is our pleasure to have you. You can see, we need help. We have women working for us, (Jean and Donna laugh) but there's an imbalance there. >> You're right. >> What do you tell someone like us who's trying to find more women or more diversity and bring them into their-- >> Jean has many opinions in this space. Go ahead, Jean, I love your opinions in this space. >> I told the story at one of the UiPath events. I've been, as a lawyer, chemist, I've always been in pretty much a man's world. That's been my life in corporate America, and all along as I looked back, Donna was the first woman that sat across me to negotiate a contract. The entire time that I've been in the tech world, in the business world in corporate America, I had women working for me when I was at an insurance company negotiation very large contracts and stuff. They were on my side of the table. She was the first woman that I negotiated with on the other side of the table, and I think that's really sad, and I think we all have to look and say, how can we do better than that? How can we make us diverse? I look around here and you have all colors, all sizes, it's wonderful and it energizes you. And I am really a true believer in a really diverse workforce. I look at that and I think, 'cause they bring so many cool ideas, they think differently. Young, old, you put 'em all in a room and it's just amazing what they come up with, and I think if business leaders would hear that and think about that instead of hearing the same type of person, what's that same type of person that has your same background going to give you? He's not going to give you the transformation, or he or she. It's going to be kind of the same, what you're used to. You need that jolt, and I believe the more diverse people that we have around the table trying to solve the problem, it's amazing. I sat, last week, and I had a 22-year-old woman come into my office, Shirat, who's 30-ish and from India, and I had Amy who grew up in Topeka, hasn't left Topeka, myself. We were sitting around a table and another guy came and he probably 30. So you had a big, broad range. Somebody just out of college, me that's been out of college a long time, sitting around the table and we came up with, they thought they were dead in the water, and within 30 minutes of us just throwing different ideas out, we came up with a solution that we could continue going with. I mean, their faces were downtrodden and everything when they walked in, and when they left, we were excited, we were ready to go. Now, if we don't nurture that type of conversation, we're never going to get diversity. That's what diversity's about. If you think about it that way, wow. We went from having a problem that was a total dead stop and we weren't going to be able to proceed to 30 minutes later having a great solution and keeping running. And I truly believe it was because we had a diverse group of people around that table. >> Studies have been done of the clear value of diversity, the decisions that are made are better and drive business value. One of the challenges is finding the people, and it was pointed out to me one time, it's just because you're looking inside your own network. You got to go outside your own network, and it takes longer, it's more work. You just got to allocate the time, and it's good advice. It's hard work, but you got to do it to make change. >> And sometimes you got to take a chance. Sometimes, because it is outside of your network, you're not comfortable necessarily with the answers they give you or the way they approach a subject. I mean, you've got to feel comfortable, and CEOs and CFOs and the C-suite has to start thinking about that, because if you wanted to be transforming, that's how you transform. You don't transform thinking the same way every day. You're not going to transform. >> Let me ask you a question. You said you're a fixer, so I wrote down the adjectives that I would use to describe a fixer, and I want to know if this has been the way in which people have described you. You got to be smart, you got to be a quick study, you got to be a good listener, you got to be confident, self-assured, tough, decisive, collaborative. Are those the adjectives that have described you as a fixer over the years? >> Yes, I think those are you qualities, by the way. >> I don't doubt they're your qualities. Is that how people refer to you in business? >> Yeah, I think so. I mean, I've done the test where they say are you a collaborator or do you push? And I get the mix. I'm either a collaborator or I'm a person that's pushing her own belief, and I know exactly who said I was a person that was only pushing her own belief, and I know the ones that said I was a collaborator. But that is, you got to be collaborative. >> I believe you have those attributes, but the reason for my question is a lot of times when it's a woman fixer, those aren't the adjectives that they would use to describe you. It would be abrasive or combative. I mean, you hear adjectives like that. Same exactly attributes as a male fixer, just described differently. Has that changed in your view? >> I go about things probably a little bit differently than men do, and I've had to adapt. Like I said, I've been a chemist. What was I? 8% of the community of chemists is a woman, so I've had to adapt my style. And I do a lot of drive-bys, I do a lot of one-on-one discussions over the lunch, over hey, do you have a few minutes? I need to talk to you. So, I do a lot of that type of collaboration before I ever get into that big meeting where I'm pushing my one direction. I've got my buddies all lined up already, and so I don't think it feels like I'm abrasive or that I'm, because I've fought those battles privately already. So maybe I've adapted my style that I don't get those types of reactions, but that's what you got to do. You've got to learn how to work the system. >> At the same time, I think that, and this is a compliment, I think Jean on the outside, it's tough to earn her respect in the beginning, but if you do, there's nobody more fiercely loyal than Jean. So you got to earn your way in there, and that's got to be consistent, like a 15-step process to get there. (Jean laughs) >> Yeah. >> And you can't let go because if you let go-- >> Dave: They're hard to get, huh? >> She's going to make you think on number six day you're not good enough, and then you just got to keep on going. So I understand what you're stating, Dave. You have to keep on going, and if you get there there's nothing that Jean wouldn't do for you. As she's here, she's on the advisory board of UiPath. She is the most, once you prove yourself, that's it. It's going to be hard to change that, but it's not easy to get there. >> So this inherent bias, people are tribal in nature and they're biased. Does things like automation and RPA, AI, does it eliminate that bias or does it codify it? >> Wow, interesting question. I don't know, I don't know the answer to that. >> Dave: I don't think anybody knows. >> I don't know that either. >> I've never really thought about it. I mean, to me RPA is just another tool in my toolkit, you know? And if I can fix it with AI, great, or UiPath, if I can use that to fix it with RPA, great. If I need another toolkit, I'll go use that toolkit. But I do know that it's a way that individuals, you can get a lot of young people into your organization that have great ideas. I'm stocking up with interns and I'm using, like I said, woman we hired, she was my intern, graduated in May, and the next day she had a full-time job. And she's done a phenomenal job. And that's what RPA has done for our business, because it's an entree in that then they're in and they're doing this simpler technology, then people see how wonderful they are and they can go and move into bigger and better roles. And that's what I'm trying to encourage is get some really smart people in with this tool, and that's what UiPath has enabled, I think, people that maybe they're not the best coders, or maybe they're not the best BAs, but you put that together and they're knocking it out of the park. The young ones are knocking it out of the park on this technology. It's amazing. >> We did several blockchain and Crypto conferences this year, you want to talk about diversity, and I mean it's old money, it's new money, it's women, it's people in turbans, it's people with color. It's actually quite amazing, and one of the older investors, I asked him what's your secret? He said, "I surround myself with millennials." (laughs) >> Jean: Correct. >> That was good advice, but very diverse crowd in Crypto. You don't have to be Ivy League, Silicon Valley and white, Caucasian, to be successful, right? >> Dave, I was representing RPA at a Women in Tech conference last week in the FinTech environment, and I was talking, sitting next to Crypto and Bitcoin and at the end, the lines lined up for RPA. And I would say to the girls, why are you lined up for RPA? And they basically said you are the disruptor. RPA is the disruptor. There was a speaker here today that says RPA's the gateway drug to artificial intelligence, which is absolutely true. RPA is operational right now, it's working today, and there's elements of AI that are here today, but there's elements that are future technology. But RPA's completely ready to go, operational, mainstream in most enterprise companies. >> And I know we kind of went off topic there but it's relevant and it's important and it's a passion of ours, so really appreciate you guys coming on theCUBE. >> Thank you. >> Thank you, Dave. Thank you, Stu. >> All right, keep it right there everybody. Stu and I will be back with our next guest right after this short break. You're watching theCUBE live from UiPath Forward in Miami. Right back. (upbeat electronic music)

Published Date : Oct 4 2018

SUMMARY :

brought to you by UiPath. TheCUBE is the leader of, what are we the leader of? all the way from New York. We're getting the Kool-Aid injection and it takes 'em the first 30 minutes I listen to the business needs that Jean When'd you get started? and I was on to my next escapade in security benefit. and after kind of a long journey, I got the money. (Jean and Donna laugh) I mean, that's how you understand everything. and I said that's all the better we can usually do You're a customer, you get your policy, your name's wrong. we were going to put in to have this little movements. Blown away to tell you, Six Sigma and it's cheap. So, in addition to cost savings, it makes her more agile. and they tend not to just fire people. And right now, I have to prove that out yet. Because it's got some forward motion to it. and be able to shift them into another role. and that they're motivated to do. I have to think it's got to improve morale is that hey, let's get rid of the stuff that we can, it's going to be a $3 billion industry we learned today. I think they're low, too. and applications that we can't even see yet. and then we have a programmer doing it, and we narrowed it down to two, that are around here, you know it's an exciting space. Go ahead, Jean, I love your opinions in this space. and I think we all have to look and say, You got to go outside your own network, and CEOs and CFOs and the C-suite You got to be smart, you got to be a quick study, Is that how people refer to you in business? and I know the ones that said I was a collaborator. I mean, you hear adjectives like that. I do a lot of one-on-one discussions over the lunch, and that's got to be consistent, You have to keep on going, and if you get there does it eliminate that bias or does it codify it? I don't know, I don't know the answer to that. and the next day she had a full-time job. It's actually quite amazing, and one of the older investors, You don't have to be Ivy League, Silicon Valley and at the end, the lines lined up for RPA. And I know we kind of went off topic there Thank you, Dave. Stu and I will be back with our next guest

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Steven Rosenthal, QTS DataCenters | Microsoft Ignite 2018


 

>> Live from Orlando, Florida. It's theCUBE. Covering Microsoft Ignite. Brought to you by Cohesity and theCUBE's ecosystem partners. >> Welcome back everyone to theCUBE's live coverage of Microsoft Ignite here in Orlando. I am your host Rebecca Night, hosting, co-hosting along side Stu Miniman. We are joined today by Steven Rosenthal. He is the senior product specialist at QTS Data Centers. Thank you so much for coming on theCUBE. >> You're welcome, thank you. >> So let's start by finding out a little bit more about QTS, based in Kansas City. What do you do? What are you all about? >> Yeah, so QTS is based in Overland Park, Kansas. We have our operations based in, actually right outside of Atlanta in Suwanee, Georgia where actually I'm from. And we have 16 data centers across the United States, about six million square feet of data center floor. We cater to everybody from hyperscalers, the hyperscalers of the world that everybody, I think, knows about, to enterprises, to federal customers. We have product lines that cover, again, hyperscale, co-location, private cloud; which I think we'll talk about today and mannered services around that private cloud offering. >> I know Stu is dying to talk private cloud with you but-- (Stu Laughs) Can you just tell us a little bit about how you fit in precisely with the Microsoft Ecosystem? >> Yeah, so, we fit in because we will offer Azure Management, so for customers that will have work loads up on Azure, we can help manage that and we also have dedicated connections through our connectivity products that will get you to Azure from our data centers. So, that's how we kind of fit into this ecosystem. >> Alright, so, just to geek out on that one little bit, when I talk to a lot of service providers, things like AWS direct connect, and Azure Express Route are one of the things we're seeing just massive adoption on being able to take my own stuff and plug it in or use services from the public clouds. Do you offer all of those? >> So we have AWS Direct Connect in our Chicago data center that we can cross connect to you, to that via our other data centers. We're also utilizing the software to find networks as back-up fabric and megaport to get you to those direct routes into Azure and AWS. >> Okay, great. So you do have the way to, 'cause the discussion has been, for a few years it went from hosting to service providers and, oh wait, public cloud is the enemy. And now I think we've matured a lot. It's like, yes, of course there's competition there, but as SoftDel and Microsoft said, look we're going to compete against people, we're going to partner with a lot of people. And, of course, your customer's are using everything. >> Yeah, I don't think it's just a line. We definitely partner with the public cloud offerings. It's not if you can't beat them join them, there is a workload for public cloud, there's workloads for private clouds and we can get into that into detail, but there is absolutely a partnership that we can have there and not a competitive partnership. >> Yeah and I actually, let's bridge that discussion over to the private cloud discussion. You know, I will give you the one there is no answer for it, but how are customer's sorting this thing out? How are you dealing with it? What do they put where? How do you help them with that discussion? >> You know, what we're finding is customers are anywhere from all into public cloud, to I'm kind of just dabbling in it and maybe putting my toe into it. And we can go in and help them along their cloud journey. So, because of the integrative products that we have within QTS, we can help you from just being a co-location customer to kind of dipping your toe in a little bit with some public clouds. Getting you that direct access via AWS Direct Connect or via software to find networking, helping you manage that, but there is workloads out there that customers just want to know where their data is. Where is my data? When you go to a public cloud, I'm not saying it's not safe, it's not secure, but we all know there's issues that sometimes they go down and there's customers, for compliancy reasons, for whatever reason they have, they want to know my data is in Suwanee, Georgia and due to the private cloud, and we know it's always there, we can provide that to the customer. >> Do you think that customer anxiety of where is my data will always exist for certain clients or do you think we will actually get to a point in the cloud computing evolution where people feel really secure? >> You know, I think if you look over the last few years, people are a lot more secure today than they were three years ago, two years ago or even one year ago. So, if I had a crystal ball, I think people will get a little bit more comfortable, but I think customer's in finance-- >> Healthcare. >> Healthcare. They're all going to really be nervous about where that data is, so there's always going to be that need for that. Certain workloads, I want here. The rest of it, yeah, we can put up in public cloud, but I want to know that this data resides in this data center. >> Yeah. I mean, governance and compliance is obviously going to play into that. So, let's talk about the private cloud. In our research, we started a few years ago, we said, what customer's need is true private cloud. And we said that because cloud should really be an operating model and the public cloud really set the bar as to, how I consume, how I manage, how I don't have to get into some of the pieces, so, to do that, you really need to kind of modernize the platform. Maybe bring us through your journey as to how you've seen it versus just kind of, I had a bunch of servers in Iraq, versus how do you define what is private cloud for your environment today? >> Yeah, so at QTS, we define the entire stack is dedicated to a customer. That's everything from the Nutanix hardware that we use and we decide to use as our infrastructure base for this. All the way up to the Cisco 9K's that we support. Everything is dedicated to that customer. So, there's no multi-tendency at all within that. So, there's no noisy neighbors, there's nobody next to you that you may not know what they're doing. Our journey started about a year ago, maybe a little bit more. Where we saw that, as everyone probably did, the evolution of the customer going to that true hybrid model. That not everything is going to public. They, again, not to repeat myself, but there are some workloads that stay within the private cloud and they needed somewhere to put that. Customers also were looking for more of an optics model than a capics model. We can host that for them within our data centers, provide all the data center services that we provide to our COLO customer's around duplicate power and the security that we provide and allow them to host that within our data centers. So that's what we're seeing in our customers and that's what is really driving that. >> Alright. When Nutanix positions the enterprise, it really is about that simplicity that they can offer. Service providers often have different metrics as to how you determine. What lead you to the Nutanix solution? How does that fit in your over all operations? >> Yeah. Honestly, we did, for lack of better terms, a bake off. We looked at competitors out there but Nutanix, by far, they have a right to be in that Gartner Magic Quadrant because, one, their support is just excellent, that we have found from them everything that we needed from them. They were right there and helping us. Up until now and we don't think they're going anywhere either, right? Nutanix has been one of our best technology partners that we've brought on board. And we see the benefits of the hyper-converged environment, allowing us, you talked about people want that cloud experience >> Right. >> The loud experience is, I want to be able to swipe my credit card and have a server running in five minutes. That's not what dedicated private clouds are, but they might want it less than 30 days, less than 60 days. Having hyper-converged there, we can provide that to the customer, get them up and running in a matter of weeks, not a matter of months. You know with their traditional architecture. >> One of the things we're hearing a lot at this conference is the importance of having the right kinds of partners and making sure that there is a lot of trust embedded in the relationship. >> Right. >> You just described, choosing Nutanix, having this bake off, how else do you walk through the, can you walk our viewers through the process of how you choose the right people that you want to do business with, from sort of a business mindset stand point, but also, complimentary functionality? >> I think a couple things. One, we obviously look at the technology. Technology for us is, if not number one, it's up there as pretty close to number one. Does the technology meet the needs of our customers? Can we provide the service with the service level agreements that we have in place? Around our hosted private cloud, we have 100% SLA around that, so we want to make sure that we can meet that for the customer. So, the technology has to be there. Then, outside the technology, the support. This is technology, technology's going to have issues. If we can make sure we have the support to back that up, so if a customer or we have an issue with the infrastructure, we can bring that back online as quick as possible. Then we look at, how closely they can do, you know, co-market with us, especially Nutanix. We do a lot of things co-marketing with Nutanix. We put on panels within our data centers. We've been doing this for the past, almost a year now, with Nutanix, ourselves, maybe we'll have AWS sit on it, we'll have Cohesity sit on it, and bring in customers or prospects into our data centers and have different topics around there, so all of that kind of mixed together, provides a really good partnership for us. >> Great. >> Steve, we talked a little bit about how Azure on the public cloud fits in. How does Microsoft fit in on the private cloud discussion? >> So, most of our customers are running Windows. I mean that's really where it fits in. >> Of course. >> Currently, our hosted private cloud runs VMRS as a hypervisor-- >> Right. >> But most of the customers are running Windows as their operating system. >> Absolutely. Still, I mean, from the early days until today, the applications sits on top. Microsoft has all the business apps up there. Been a lot of announcements at the show. Windows Server 2019, talking a lot about the shift to SaaS. How are you seeing, is that still a big driver for your customers, the generational shifts of Windows and what about the changing workloads? I'm curious about how those impact you. >> Yeah, absolutely. The changing workloads definitely drives our business and as you pointed out, a lot of those are going to either Office 365, going up to Azure. We're getting a lot more customers asking us for Azure these days. I don't want to put AWS against Azure, but we are at the Microsoft show, obviously. We're getting a lot of customers who are driving their business up to Azure and to be able to support that within our community is really important to be able to support that customer, so we are definitely seeing that drive towards those types of workloads. >> You're an industry veteran. You've been in IT for 25 years. I wonder if you could talk about this point in time that we're at now. It feels like an inflection point, but maybe I'm wrong. Can you sort of paint this point in time, in the greater context of the cloud computing revolution. >> I think hybrid is the word. Right? I know it's a marketing word. I know a lot of people use it, but I think it really has hit today. Where you have companies that say, hey, we are all in on public cloud and I think that's a great marketing term, but if you really look at all of their workloads, they don't have everything up there, but even if they have 90%, 10% of their workloads are Legacy applications that they would have to re-write to be able to really work in the public cloud and these applications are running just fine where they are, they don't want to touch them. So, I think that hybrid model is where we are today and it's only going to grow. >> Steven, I'm curious, we watched for a while, public cloud polled on the data center apps, but now we have the Edge out there. You talk about IOT, you talk about what machine to machine type technology is going to push things back out, not going to be in some central location. Is that having an impact yet on your business, how would you play in some of these IOT environments? >> Yeah, we are constantly looking at the new technologies out there, especially the autonomous cars is something that we are looking at very heavily and they require, there's something like six terabytes of data that gets passed back and forth between that car and whatever service is running that car and that's got to be somewhere on the Edge, but I think if you look back at how people were defining private cloud a couple years ago, how are people are defining Edge is very different. And over the next year or two, we will get more common, how people are defining Edge Computing will become a lot more common. So, we're looking at how do we plan that market? Do we have to have data centers closer to the Edge, wherever that edge is, in cities that you typically don't see data centers. You're probably going to have a different type of data center within that city too. >> Oh, yeah. Absolutely. The edge is very different if you are a telecom provider versus an enterprise, what you said. That data center is going to be a pop, is it going to be something in a wireless tower-- >> Is it going to be in a closet somewhere that supports it? >> It's all going to be something that just fits on a wrist at some point in the future, right? (all laughing) >> Yeah. It's going to fit right there. >> Yeah, check on my data. So, getting back to the cities that you don't necessarily think of. I mean, you're a tech, a cutting edge tech company, based in Kansas City, the Heartland. >> Right. >> How do you find, is it difficult to recruit talent because frankly even the companies in Silicone Valley and Washington and Boston, they're having trouble recruiting talent. Where do you come down? >> I think it's not only recruiting the talent, it's keeping the talent; which QTS is very good about keeping the talent. I think if you look at our attrition rate, it's probably some of the lowest in the industry 'cause we have a culture that people want to stay in, but even though our headquarters are in Overland Park, Kansas, again, our, really our operations headquarters are outside of Atlanta, Georgia in Suwanne which is probably just about 30 miles north. So, we have Georgia Tech that we can pull from, you have Emory that you can pull from and, you know, the entire Georgia University system. I don't want to leave anybody out that we can pull from. And we have data centers around the country, even in Silicone Valley, we have Santa Clara, which we can pull from the Silicone Valley individuals. Dallas has a lot of tech companies, so we're not just pulling from one market, we're pulling from 16 different markets across the country, which helps us a lot not just to dry up a single market. >> You said that QTS has a culture that people want to stay and Microsoft is touting its culture as collaborative, inclusive. Describe QTS's culture. >> Our culture, a lot of people ask me that and it's like, you got to live it. It's very, very family-oriented. I know a lot of people say that, but we live it. We care about each other. Nobody walks around going, it's not my job. Everybody is there to support the customer. We are very customer-focused, you can see that in our NPS scores. Our NPS scores are very high in the industry, probably some of the highest out there. So, and that goes back to just how we take care of our customers. And we look, goes back to your question about, what do we look for in partners, Nutanix probably has a very high NPS score and we want to make sure that our partners are treating our customers as we want to treat our customers. >> Great. Well, Steven, thank you so much for coming on theCUBE. >> Thank you. Appreciate it. >> I'm Rebecca Knight for Stu Miniman, we will have more from Microsoft Ignite, coming up in just a little bit.

Published Date : Sep 26 2018

SUMMARY :

Brought to you by Cohesity He is the senior product What are you all about? And we have 16 data centers that will get you to Azure are one of the things that we can cross connect to you, public cloud is the enemy. that we can have there and You know, I will give you the we can help you from just You know, I think if you to be that need for that. of modernize the platform. and the security that we as to how you determine. that we have found from them we can provide that to the customer, One of the things we're So, the technology has to be there. on the public cloud fits in. So, most of our customers But most of the customers a lot about the shift to SaaS. and to be able to support in the greater context of the and it's only going to grow. but now we have the Edge out there. is something that we are is it going to be something It's going to fit right there. that you don't necessarily think of. is it difficult to recruit talent out that we can pull from. culture that people want to stay So, and that goes back to just how Well, Steven, thank you so Thank you. we will have more from Microsoft Ignite,

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Chad Sakac, Pivotal & Chad Dunn, Dell EMC | Dell Technologies World 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE. Covering Dell Technologies World, 2018. Brought to you by Dell EMC and its ecosystem partners. >> Welcome back to Vegas, everybody. We're rocking. We are rocking. Dave Vellante here with Keith Townsend. This is theCUBE, the leader, get into it! Live tech coverage. (laughing) >> We in the club! >> We are in the club. The Chads are here, Chad Dunn, Chad Sakac. Chad Dunn is VP of Product Management and Marketing at Dell EMC, and Chad Sakac, needs no introduction, although new role with Pivotal. >> Sakac: Yeah. >> Awesome. >> It's exciting man, it's great to be back, like come on, some things change, some things stay the same. It's always good to be on theCUBE. >> So tell us about the new role, let's start there. I know you've talked a lot about it, but you haven't with me, so. >> Yeah, so, in a nutshell, as I was trying to think what do I do next in my career? You know, we had built amazing things in the converged platform and solutions division, VxRail, massive success. >> Dunn: Yep. >> Those things moving into the parts of Dell EMC for more scale and velocity, which is simple. If you imagine the future of tomorrow, you'd go and say, what percentage of infrastructure going to be hyper-converged? Answer, a lot, and it's going to need to have a velocity that's very similar to a server, because what percentage of servers are going to be HCI? Answer, a lot. And so it was a very natural kind of, time to go and say, how do we optimize this thing? And then that gave me a weird, unique, once in a lifetime moment, where I could go and say, what do I want to do? My wife said, I'm telling you a long answer, and you probably want the short one. My wife said-- >> Dunn: You don't know any other kind. (laughing) >> This is Chad skills. >> "Chad, you've been on the road for 13 years, "your children are now 12 and 14, "they're going to be here in the nest "for like another four years, "take time off, I'll go out to work, "you be a stay-at-home dad." That was actually, like, option A. Option B was, there's so much cool stuff going on in the ecosystem, join a startup, do a CEO gig, whatever, and then stay in the family and a ton of support from Michael and from Jeff Clarke and from Pat Gelsinger and Rob Mee, and there was, like, do this at Dell EMC, do this at VMware, do this at Pivotal. And what I realized was the Pivotal thing gave me the opportunity to do the startup-like thing, discover some new parts of my own career, so move up the stack, and do one thing that I've always done, which is be at the intersection of the companies. Because PKS is, fundamentally, an effort that is 50/50, VMware and Pivotal, just like VxRail is a 50/50, VMware, Dell EMC effort. >> Right, right. >> So it was the obvious choice and then I had to have that uncomfortable discussion with my wife that said, "Unfortunately, sweetheart, "I'm back on the road." She said, "Fine! "But at least take one month off "before you go from one thing to the other." We went to Hawaii, surfed. >> Oh nice. >> It was awesome. >> You bring the kids? >> Oh, yeah. >> Beautiful. >> It was awesome. But in any case, it's a, you know, in the same way that when we started VxRail, we were like, how do we go from a market where we're currently not the leader, and quickly accelerate, become number one, in a two-year period? And that requires running fast and iterating. The same thing goes with PKS, PCF and PAS is number one for that universe, but we're not currently number one for the enterprise container distribution. So, that's OK, I like that, now I'm determined and stubborn to make sure that PKS is the best enterprise Kubernetes and container platform. >> Chad D, you were talking off camera about the interest in VxRail, sounds like it's off the charts. >> Absolutely. I mean a ridiculous number of customer meetings that we have here at the show this week. I think it's over 200 customer meetings, just on VxRail, and VxRack SDDC, you know, the VMware hyper-converged stack. And, you know, more and more on Pivotal PCF and PKS. >> Yeah so let's talk about that. You got the guys that are sort of, born Cloud-native and the guys that are trying to transform, they need infrastructure to help them do both, they need partnerships, so lay it out for us. >> So, Keith, you and I have gone on Twitter and talked about this, there's this nature amongst the IT ecosystem, where everybody wants the answer to be A or B. >> Keith: Yes, we do. >> Right, A or B. >> Keith: Yes. >> Yeah A sucks, B is awesome. And you know, debates raged about, you remember like, the era of Doka is going to destroy VMware, you remember that? >> I remember that, seems like just yesterday. >> Because it was just yesterday. (laughing) But what's happened now is everyone's realized that's stupid, that the reality is that Kernel-Mode VMs and containers are going to co-exist, and in fact, the majority of containers are actually going to be deployed on Kernel-Mode hypervisors. >> Netflix's biggest story is optimizations from AWS. They're able to save tons of money by running containers inside of VMs. >> Sakac: Yeah. >> Dunn: Absolutely. >> And, you know, I was laughed at a couple of years ago, when I said, you know what, containers and VMs go together, like peanut-butter and jelly, and it does. >> It does and so, look, does it change what people want from the Kernel-Mode virtualization layer? Yeah. So, things like DRS, that are really important if all you do is a Kernel-Mode VM is less important, when resource management is done by something like Kubernetes, but that's a refinement. And so, what we're trying to do now is now that everyone's gotten over the emotion, and what I call the bar-fights, where we're getting into stupid arguments, you know, that are not about something that matters, and now people are getting down to the brass tacks of, how do I make this go? They're realizing, I'm going to use off-prem and on-prem, I'm going to have Kernel Mode VM's and I'm going to have containers, how do I make that work, how do I build a hybrid model that will work for both of those scenarios? And then, frankly, our job as IT practitioners and the vendor ecosystem is to make this as easy as we can. >> Well, you guys know this better than I do, people want to use existing processes and procedures, they don't want to throw that stuff out, I mean I think of it, I remember Big Data and Hadoop that the killer application was sequel. Right, I mean even in the Blockchain world now. >> Sakac: Yep. >> Everybody's talking about writing in JavaScript, right, you've got expertise built up, you don't throw that away. >> No, and I think when you look at the people who are trying to deploy containers on premises, they don't want to worry about the infrastructure, right, they want to look at the new, play with the new, cool things, they want to play with Kubernetes, they want to play with containers as service. They don't want to talk about, OK, well what infrastructure do I need, how do I make those choices? They want something that is very much automated and very much scale-out so it can react the same way that their application does. >> So let's talk about that, let's talk about VxRail, Kubernetes, PKS. If I'm a Cloud-Native guy, I don't care about infrastructure but there has to be infrastructure. So where's the meeting of that conversation? Dell technologies run best on Dell technologies. >> So, again, I'm going to try and force myself to give short answers, because it's so not natural for me. I'm sorry, fellas. When Pivotal engages with the customer, we go and we say, "We give you a platform, PaaS, PKS "and the Function Service," and they say, "What should I run it on?" And the first answer that comes out of someone's mouth is it doesn't matter, you can run it on any cloud you want, which is true on one level. But then if you look at our on-premises projects, the thing that's the biggest holdup is infrastructure that is too rigid, too slow, doesn't work right, is busted. And they're like, damn it, if I want to focus my energies elsewhere, I have to have a base-stack that is just easy and done, right? >> So, help break up the long chat answers. One argument is, you know what, just give someone 128 gig VM, a bunch of vCPUs, and that simplifies the infrastructure. Where does that break? >> It breaks immediately when someone says, I need to add more total compute, or storage, or network, or memory, to my Kubernetes pot. Kubernetes goes, great, I'd like to basically make the cluster bigger, because I've got this resource demand. Then it looks down and says, infrastructure, are you there? And if the answer is, no, it's like, wah wah. Right? (laughing) So what we've managed to do is we've managed with VxRail to go and say, we've made an easy button based off of the customer-standard which is the VMware stack, it's not only something they can count on, they can easily add it, so if they want to add raw compute, storage, or network. It also adds in small increments, so you don't have to have a giant block of infrastructure to go in, you know, so you can grow your Kubernetes cluster, you can grow your physical infrastructure, simple, easy, done. And the biggest part is that Kubernetes makes deploying containers easy, however, PKS makes deploying and versioning Kubernetes easy, VxRail makes deploying and versioning the vSphere stack easy. Easy, plus easy, plus easy, equals easy. >> So is it like a quasi-elastic-beanstalk here? >> Elastic beanstalk, OK. (laughs) >> Is that fair? >> Or maybe a plastic beanstalk, where, you know, it could hold its shape. >> You know, elastic beanstalk is a PaaS, right, but the long and the short of it is is that if you get the abstraction that you need, Kernel Mode VM or container, the container is in a VM, if the whole stack is prescriptive and easy and works, then you can redeploy time, money, and resources, on the things that matter. And that Pivotal ready architecture, which is PCF, on VxRail, is that easy button on-prem. >> So, Chad, the production staff may regret me asking this question, but I have to know this. You're known in the industry for these blog polls talking about face-melting technologies. (laughing) What is face-melting about PKS, and VxRail, gimme some classic Chad. >> I'll give you face-melting. Facemelting to someone who's looking at a container platform and you're looking at Kubernetes is that without them knowing, without them knowing or doing anything, the Bosch part of what PKS does- >> Keith: Oh, Bosch. >> Is basically doing updates, like four times a day, blowing up the entire environment and recreating it and no-one has touched a damn thing, step one. The next thing that's face-melting is that their ability to update the infrastructure, can be done at tens of thousands of sites via API calls. So I'll give you another fascinating example. Kubernetes is generally thought-of as mostly a data-center thing, we've had fascinating interest from retail and other use cases, where they're like, look I get it, I want a Kubernetes, that I could deploy in a store. >> Keith: Yeah. >> And then you go and say, well, do you have a great DevOps practice in the store, in Topeka, Kansas? The answer is, no. But if I say I can basically drive all of the platform updates, including the infrastructure, at thousands of stores around the globe, that's pretty face-melting, no-one else can do that. >> Exactly, and look we see, you know, lots of pockets of Cloud Native popping up in accounts, and a lot of times IT doesn't even know where they're at. You know, these are things that are going to go from a line of business, and all of a sudden become production, have to become production, and IT needs a way to manage that. Rail gives them a way to go in and manage that infrastructure, at a scalable way, and move it from a line of business, into production. >> I'll give you another face-melting, do you mind? >> I'm not calling the shots. >> Bring it on. >> Is your face OK? >> My face is getting there. >> I want to see it like, melted Keith, just melted. People have asked me is that a good thing? And, yeah, it's a great thing. (laughing) So, we were talking about a particular customer, I dunno whether we can name them, can we name them? >> I don't know if we could, I haven't asked. >> OK so-- >> What industry? >> Financial Services. >> And, basically, they use the PCF stack on VxRail, and they're currently using it, for pre-prod. >> Exactly, so they're building all the testing applications to test their classic applications, that are running on VxBlock. >> So they've got a production environment that's like, big, classic, VxBlock, also my former baby, so and I love all my children equally, right. What they are finding is that the simplicity of the PCF on the VxRail Model, is so wonderful and fast and great. But when they want to try and do a capacity add on a VxBlock, or to do an update, like an RCM, it's a lot harder here than it is over here, right. I guarantee at that customer, what they're eventually going to discover is this has been awesome, we're going to keep using VxBlock for something else, but we're not going to deploy PCF, PaaS and PKS, on a VxBlock. >> Exactly, and this is going to trigger refactoring of all those workloads, that say, can I refactor these to be Cloud Native, right. If I can iterate my testing that quickly, can I iterate my production applications that quickly. >> And the ROI on that refactoring is? Fill in the blank. >> No, no it is like a thousand to one. So, again, this is a very hard thing to imagine. >> Talk about business impact. Not financial, but-- >> I'll give you one example that I'm so happy that they actually posted this to YouTube, because the customer's voice in this is incredible. If you YouTube, From zero to 12 million, T-mobile. OK, so this is not me saying it, you can go and you can see it themselves. T-mobile basically, and to all of you T-mobile, you know, subscribers out there, anyone of you guys use T-mobile? I use T-mobile, so, in any case, they have a single, giant, Java app that has a thousand functions in it, right. So, just imagine one app, sitting on a app server, like web-sphere or whatever, and inside that app, there's a thousand API calls, functions, and purposes, right. And because it's so big and monolithic, but this is critical, this is like the thing that runs their ordering systems and like, subscriber functions. It's the heart of the business that any time they needed to update it, to do like a patch, would take seven months. If they wanted to scale it, so like the iPhone launch is coming up, we need to get like three times as much capacity to handle all these iPhone orders in September, it would take them seven months of planning, work et cetera et cetera. >> Sure. >> Sakac: Everyone goes, I could visualize that. Right? >> Right. >> They took one function, just one, and pulled it out, and they said, we're going to do a project, we're going to take this function called, Get Usage, which, as you can imagine, basically pulls up the subscriber's usage data, and we're going to make it into a small micro-service, and we're going to run it on a PaaS, OK. Within five months, that function was getting used 12 million times a day, and they were able to do three CVE updates, so in other words, a Critical Vulnerability Patch, comes out, they were able to do it in real-time. They have eight platform operators, just eight, that are supporting 5,000 developers, sorry 500 developers. Eight, 500. Now, if you look at that and go, what does it mean for them? Well, they reduced the number of outages by almost 90%, the time for an outage went down by 63%, the developers and the dev-ops team are now happy, because this thing auto-scales itself. >> Dave: Ching ching. >> Ching ching, ching, right? >> Right, dudes, we got to go. Chad squared, thank you so much for coming on. >> Thank you, Guys. >> You OK? >> I'm good. >> Your face is melted. >> Your face melted? >> I have water. >> Splash it on your face to bring it back. >> Really, always great seeing you guys, thank you so much. >> Thanks, Dave, it's always good to be on here. >> Thanks very much. Keep right there, everybody, we'll be right back to wrap, right after this short break. (soft music)

Published Date : May 1 2018

SUMMARY :

Brought to you by Dell EMC and its ecosystem partners. Welcome back to Vegas, everybody. We are in the club. It's always good to be on theCUBE. but you haven't with me, so. in the converged platform and solutions division, and you probably want the short one. Dunn: You don't know any other kind. gave me the opportunity to do the startup-like thing, and then I had to have that uncomfortable discussion PCF and PAS is number one for that universe, Chad D, you were talking off camera and VxRack SDDC, you know, the VMware hyper-converged stack. and the guys that are trying to transform, So, Keith, you and I have gone on Twitter the era of Doka is going to destroy VMware, you remember that? and in fact, the majority of containers are actually going to They're able to save tons of money And, you know, I was laughed at a couple of years ago, and I'm going to have containers, the killer application was sequel. Everybody's talking about writing in JavaScript, right, No, and I think when you look at the people but there has to be infrastructure. is it doesn't matter, you can run it on any cloud you want, and that simplifies the infrastructure. to have a giant block of infrastructure to go in, you know, Or maybe a plastic beanstalk, where, you know, is that if you get the abstraction that you need, me asking this question, but I have to know this. the Bosch part of what PKS does- So I'll give you another fascinating example. And then you go and say, well, Exactly, and look we see, you know, lots of pockets People have asked me is that a good thing? and they're currently using it, for pre-prod. to test their classic applications, on the VxRail Model, is so wonderful and fast and great. Exactly, and this is going to trigger refactoring And the ROI on that refactoring is? No, no it is like a thousand to one. Talk about business impact. that they actually posted this to YouTube, Sakac: Everyone goes, I could visualize that. and they said, we're going to do a project, Chad squared, thank you so much for coming on. right after this short break.

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Steven Hill, KPMG | IBM Think 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE, covering IBM Think 2018, brought to you by IBM. >> Welcome back to theCUBE. We are live on Day One of our three days of coverage of IBM Think, the inaugural single event from IBM. I'm Lisa Martin with Dave Vellante. We're at the Mandalay Bay in beautiful sunny Las Vegas, and we're excited to welcome to theCUBE for the first time, Steve Hill, the Global Head of Innovation at KPMG. Welcome. >> Thanks for having me here. >> So you are giving a talk Wednesday, you said, at the event. >> Yes. >> I want to get a little bit into your role at KPMG, as well as your session. So talk to us a little bit about what your role as the Global Head of Innovation. >> So Innovation is an overused word. I don't particular like the word innovation, but in the context of my role, it really is taking a look at our business and our clients, and saying what it is that our clients need for their futures. What's going to create relevance for our clients as we go forward, and how does our portfolio of services relate to that relevance? And if we have gaps where we see our services not serving them best, or not going to serve them best in the future, my job responsibility is to help for strategy purposes and for investment purposes, bring those points to bear, and to get either investment into those areas, right, or changes in the business as appropriate to make KPMG more relevant to our clients, and to their relevance to their clients, right, that's the whole idea. >> So, Lisa and I talk to a lot of people in theCUBE, and we talk lots about invention, startups inventing something or new technology that gets invented, but innovation to us, and I think KPMG is at the heart of this is taking an invention and actually applying it to effect change, getting it adopted, >> That's right. >> and changing a business, a societal change potentially, is that-- >> That's right, I mean, our short phrase for it is idea to cash for our clients, right. I mean at the end of the day, and I think this is profound in certainly corporate governance evolution, right. We've seen the advent of lots of escrow changes of how companies have been managed, enterprise has been managed, right. The Dutch started with the East Indian Trading Company, one of the first large global enterprises, and since that time we've seen the maturation, the new roles. The CIO role didn't exist much prior to 1950, right. Today we're starting to see innovation to be a very important skill and capability for all corporations, all enterprises, including government, right. And I think we're starting to see a maturation of corporate capability, I would say, in the innovation space, because the pace of change is so fast today, the political, economic, technological, social trends are so complex that you've got to get something in your muscle memory that helps you change your business as much as operate it effectively. >> I'd love to know who you're talking to within organizations. You mentioned CIO role, the CISO role, chief data officer. >> Steve: Right. >> Who are the minds that you're helping to bring together so that an enterprise that needs to digitalize to be competitive will survive, right, really survive these days? How do you help them really embrace a culture of innovation as really there's no other choice? How do you get these minds collectively agreeing, yes, this is the direction we need to go in? >> Yeah, I think, I mean first of all, this is a C-suite conversation and a board conversation in many cases, but the reality is when you start to look at the lack of innovation in an organization, right, and when the environment changes, competitors start to change, and the more complex it is, it's harder and harder for companies to pivot and to reinvent themselves. And we're seeing a lot of unbundling of businesses in today's environment, whether it's a company that moves packages, right, or a professional services firm, or a company that used to distribute videos, right. I mean things change and some of the irony is that sometimes the innovation in companies like Kodak, Steve Sasson invented digital camera, it took eight minutes to go from a snap to a picture, but they invented digital technology from cameras, and that the distribution of digital videos is that it actually would help to, further the demise of that organization. So that notion of how do you take change going on in the environment that you're working at, and more importantly your customers and clients, how does that convert into your business, that's a C-suite conversation, and I think innovation can be embodied in a person to help build process, meaning how do you take an idea, how do you look at the marketplace and get sensory input, convert that to ideas for strategy and for investment, and the investments have to be deployed to the field to the business, and that relationship, that whole lifecycle of innovation requires a lot of people from the enterprise to be involved in it. And I would argue the culture has to evolve because until recently most people, in fact, I would say, including current times, most people in organizations are rewarded for doing what they do well, not breaking what they do, not rethinking what they do. And the more you get into that operational mindset, that I want to wring all the efficiencies out of this process that I can. Right, the more you're wed to the status quo, the more somebody comes in from the side and takes you out. >> So I love this conversation 'cause Steve you're able to take the long view and then I want to sort of shorten it up, and then maybe put it into a longer term context. So over our, your guys 20-plus-year careers, mine a little longer, most of this industry has marched to the cadence of Moore's Law, that's where innovation came from. >> Yes. >> How do you take advantage of Moore's Law? How do you go to client server software, whatever it was, the innovation equation is changing now. It seems to be a function of, these guys have been hearing me say this all day but data that's not siloed, but data that you have access to, applying machine intelligence-- >> Yep. >> And then getting cloud, scale, economics and network effects, and then applying it to your business. >> Bingo. >> So talk about how you see the new wave of innovation in this world of digital or however you phrase it. >> Well, it's interesting, I mean, I don't hear a lot of people phrase it the way you do which I think is spot on which is, and my words are, ubiquitous access to technology which is cloud, data, and that's a huge question mark and a big C-suite conversation. Having a lot of data isn't the key, having the right lot of data is the key. Right so Dyson is moving into auto-making today, right. They have a lot of data and it's very different from what the incumbents have. Is it better or worse? We're going to see, right. And then of course smart computers which is the machine intelligence, right. Those three elements, I think they're fundamentally changing labor productivity. And what I would say is to your question is that innovation is really important here because if all you do is take those three elements and you just digitize a status quo process, you might get marginal benefits, you might get some labor productivity enhancement, you may get some marginal improvement, you may change an outsourcing agreement to an onshore RPA deal, but if that's all you do, you're setting yourself up for a disappointment because what's really going to happen with thinkers, i.e., those that have innovations, they're going to rethink the process. Most of our analog systems are created around people checking people, so you may have nine steps, I'm making it up, in a process, that in a digital world only requires one or two or zero when launching in some cases. And so if you can rethink that process to go from a nine-step to a zero-step process or a one-step that's a nano second long, that changes the dynamic of the process. In fact that's not even nirvana, right, the real nirvana is can you change your business model, right? And I would use IBM, since we're here, as an example of going from a big box with a lot of people running around it, called IBM of the past, Watson, to an API engine that David Kenny has helped to build that says, we're going to have a platform business model leveraging network effects, and I want to have a supply and a demand curve that are much faster growing than my sort of organic ways of growing a network could be, right, through people point clicking. That's innovation. >> IBM is an interesting company because it is a company with a lot of legacy, but I think gets, as you just described it, but you look at the top five companies by market value today, they're six, 700-billion dollar market companies, they are data companies not just with a lot of data, but they've put data at the core, so it's Amazon, it's Apple, it's Facebook, it's Google, et cetera. They've put data at the core whereas most organizations, I'm sure many that you deal with, they have human expertise built around other assets that aren't data. It might be factories, it might be the bottling plants, et cetera. So there's a gap, I don't know, machine, AI gap between sort of those that are innovating today, now granted the stock market can change and, >> Sure. >> Who knows, maybe the oil companies will be back involved, not to drop but how do you deal, how do you advice your clients on how to close that gap? That seems like a huge challenge. >> Well it is a huge challenge, and I think, going back to the three elements, it would be very easy for you to dive bomb into a transformation effort and say, I'm going to go and get some smart computers and hire a bunch of people that know machine intelligence and natural language process, and all that stuff, and put them in a room, and go create some applications, the bottom line is, that's not unimportant. You got to get your hand on the mountain and start climbing, but the data piece, I mean, if you don't understand how data is going to be relevant to your business and to your clients and their clients, right, in the future, you lose. And the reason why those five that you talked about earlier are so successful is they think a couple of steps ahead on the data strategy, right, and they're not thinking about, most organizations by the way, they'll say we want a data strategy and then they'll relegate the strategy thinking part to their businesses which are bifurcated, and they look at the world in silos. And they're doing exactly what they should do which is take care of those businesses, but when you step back into those five companies you've talked about, they step back from those silos and say, what is the enterprise implications, and how do I create new businesses with correlations of data that I didn't have before? I think that requires a whole different level of strategy. It's C-suite and board that has to guide those kinds of decisions. You don't see a lot of people really getting their hands dirty around intense forward-thinking data strategies at the enterprise level like we're talking about here. >> You believe we are entering or going to enter shortly a productivity renaissance. >> I agree, yes. >> That's sort of I'm talking about our off-camera conversation. Explain why you think that, compare it to sort of the Industrial Revolution. Take us through your scenario. >> Sure. So, I mean, when you think about labor, I mean, what are the things that I think those three elements will give us as a society, as a global community, is a pretty big S curve jump in labor productivity. In fact we have at KPMG some efforts to quantify what that might be, looking at what we call frontier firms, and applying those practices back to incumbents. 90% of most industry players is saying what are those differences that we can model. The fact of the matter is when you go back to the Mechanical Revolution, the Industrial Revolution, people did everything by hand prior, right. Equipment helped them do things whether it was, even the printing press saw changes in society and labor, but when you start to getting into heavy manufacture in the Industrial Revolution, productivity was enhanced dramatically, and instead of putting all of these people who were doing things by hand out of business and out of work, it actually created more jobs, a lot more jobs, and a lot more wealth for society. I think we're heading for a similar S-curve change with smart computers, cloud, and with data. And that the roboticism of people is going to be automated, and people are going to be allowed to practice and use what's between their ears a lot more. That's going to create value, insight, new questions to be asked. I mean, how many times have you ever heard this? Every time you answer a question on something that's very important, you want to understand there's two more questions to be asked. Medicine is that way for sure. But you're going to start to see massive advancement in areas where people have had to use a lot of cognitive skills, right. It's severely under-leveraged because they were doing so much roboticism and doing things that computers can start to do now. So I think you're going to start to see a renaissance, if you will, of people using their nogers in ways we haven't seen before, and that's going to change the dynamics of productivity and labor in a way that's going to create wealth for everyone. >> And it's going to change industry. So, okay, so I got a bunch of questions for you then. >> Steve: Yep. >> Here we go. And I asked this earlier but I didn't really get an answer. Will machines? >> Steve: From me or from somebody else? >> No, from somebody else. >> Steve: Okay. >> Will machines make better diagnoses than doctors and when? >> I mean, what's the regression line? I mean, the samples said, I think today you'll find machines giving better diagnoses than doctors in some cases. >> Dave: Okay. >> I don't know where the regression line sits today, but if you look at the productivity of doctors going a hundredfold, and the morals scattering around lung cancer, it's impressive. >> Dave: Yeah. >> And do you want a doctor involved? Yes, you do, because part of it is in an orthodoxy of trust which by the way ten years ago, you wouldn't put your credit card online to buy anything, right. It's the same kind of orthodoxy. But I do think that machines can read so much more data, interpolate so many more correlations than people that when you add that to an oncologist for example and cancer, you have a super oncologist capabilities which is really what you're looking for. We're not looking to replace the oncologist per se, what we're looking to do is get the productivity of the oncologist from two to 200. >> I was talking about diagnoses. So you would say yes, okay. >> Yep. >> Will large retail stores mostly disappear in your opinion? >> No, I think they'll change. I think that the customer experience is still, we're still people, we need physical space, and we need physical things to touch, smell, and feel. I think those things will change, but we'll still need experiences. >> I'm going to keep going 'cause Steve's playing along. Will driving and owning your own car become an exception? >> Yes. >> Okay. >> I can elaborate if you want. >> Please, yeah, go ahead. >> So, I mean, the first, I mean, we actually did at KPMG a study called islands of autonomy which modeled LA and San Diego, Atlanta and Chicago, and we modeled how do people move. And we did this for a reason because autonomous vehicles are often times amalgamated as one thing. Oh well autonomous vehicle is coming so you better sell your sports cars and your SUVs, not so fast. The reality is mobility is very different based on where you are. If you're in the middle of Kansas or something, you're going to need a truck to run around in your farm, but if you're in LA or Atlanta or Chicago, you're going to move with autonomy, with autonomous vehicles, and then you're going to really enable mobility as a service very clearly, but differently. The way people move in these cities is different, and if the US auto industry understands those differences, and extrapolates those to a global marketplace, they're going to be very advantaged as mobility as a service becomes real, but the first car that goes, I hate all of the viewers that love this category, but sedan is the first cars to go. I would say sports cars, I race cars, so I love sports cars. People still ride horses today but they don't need them for transportation. And SUVs, right, specialty vehicles that you may, it may not, the economies may not be there, but as we know transportation and car ownership, it's going to change fundamentally, and that's going to have a massive effect on FS, right, insurance companies, banks that are doing loans today. It's going to have a big effect on healthcare. Mobility as a service is going to transcend to healthcare, mobile healthcare in ways that we can't see. >> You got great perspective. I got one more for you, maybe a couple more. Do you think traditional banks will lose control over payment systems? >> Well, a lot of them are already nervous about that, wouldn't you think? >> Yeah, but it hasn't happened yet though. >> I understand, the bottom line is no 'cause I think the traditional banks are getting smarter and they're leveraging their own innovation horsepower to understand things like Blockchain, and how to incorporate those things into their business models. So the answer is I think the way they do, look, banks exist because of one reason, trust. They have trusted brands, right. As long as they can stay current enough to be relevant to your banking needs, you're going to stay with that trusted brand. I think the trick for banks is how do they move fast enough, leverage the technologies that make your life easier, and not waiting three or four days for bank clearing of a check, for example. >> That's they say if you're-- >> And get to that trust in a new way. >> Unless you're a Bitcoin millionaire or a billionaire. >> You still need a bank. >> Maybe somewhere down the line. >> Yeah. >> Okay, last one, I promise. Will robots and maybe even RPA reverse offshore manufacturing advantages? >> Yes. >> Can you elaborate and give us a sense of-- >> I think, first of all, if you really look at what RPA is doing in many ways, is disintermediating the value of geographic location in many ways, right. So where I may have had, again this is important that you understand, so I can still go offshore today and get labor arbitrage and get margin, but I'm not rethinking the business. What I really want to do is own, I want to have more control and I want to have more flexibility and growth in that back office function. So it would behoove when you think about our RPA, and bring in our RPA technology so I have it one onshore, two, leverage the data more securely potentially, and then leverage that data as part of my lake to say how do I use that data to correlate to get to what I really need which is customer relevance at the front office, right. So, look, I think that this whole notion of you're in a different country, and therefore the labor pools are different, and therefore their arbitrage will get benefits from that, those days are over. I mean, it's just a question of when does it die. >> Dave: The data value offsets that arbitrage advantage. >> Well, forget that. The arbitrage is dead itself because the machines, >> Yeah, yeah, right. >> You're talking about orders that have made it to a cheaper per unit cost for an RPA, for a bot to do something than it is for a person that has to eat, sleep, take vacation, and get sick, and all that stuff. And so no matter where they are in the world. So what I would say is that notion is dead. It's just not buried. And overtime we're going to migrate again to machines doing all that robotic stuff. But, again, those people, they're going to do different things. It's not like we're going to see hordes, hundreds of thousands and millions of people not be able to work, I think they're going to be doing different things using their heads in different ways. >> Lisa: I like that answer. >> That's a plan. >> Dave: It's good. >> There's a price somewhere? >> I'm absolutely wrong, I just don't know how wrong, right. >> Well, it's fun to think about, and you provided some context. It was very useful. So, thank you. >> And I imagine folks that are attending your session at IBM Think on Wednesday are going to hear a little bit more into that. So thanks for sharing. >> We going to see some specifics, yeah. >> Thanks for sharing your insights, Steve, and for joining us on theCUBE. You guys, the innovation equation is changing, and I thank you for letting me sit between a very innovative and informative conversation. >> Thank you both. It was fun. >> Thanks Steve. >> For Dave Vellante, I am Lisa Martin. You're watching theCUBE live on Day One of IBM Think 2018. Head over to thecube.net to watch all of our videos with our guests, and siliconanglemedia.com for all the written articles about that. Also check out Wikibon, find out what our analysts are saying about all things digital transformation, Blockchain, AI, ML, et cetera. Dave and I are going to be right back after a short break with our next guest. We'll see you then. (upbeat music)

Published Date : Mar 19 2018

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brought to you by IBM. Welcome back to theCUBE. at the event. So talk to us a little bit about and to their relevance that helps you change your business I'd love to know who you're talking to and the investments have to be deployed to take the long view but data that you have access to, and then applying it to So talk about how you see phrase it the way you do I'm sure many that you deal with, not to drop but how do you deal, and to your clients and their clients, or going to enter shortly compare it to sort of the and that's going to change the dynamics And it's going to change industry. And I asked this earlier but I mean, the samples said, and the morals scattering that to an oncologist So you would say yes, okay. to touch, smell, and feel. I'm going to keep going but sedan is the first cars to go. Do you think traditional banks Yeah, but it hasn't and how to incorporate those things Unless you're a Bitcoin Will robots and maybe even RPA to what I really need that arbitrage advantage. because the machines, I think they're going to I'm absolutely wrong, I just and you provided some context. are going to hear a and I thank you for letting me sit between Thank you both. Dave and I are going to be right back

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Chris Wahl, Rubrik | VMworld 2017


 

>> ANNOUNCER: Live from Las Vegas, it's theCUBE. Covering VM World 2017. Brought to you by Vmware and its ecosystem partner. >> Hi, I'm Stu Miniman here with John Troyer and excited to welcome back to the program Chris Wahl, who's the Chief Technologist at Rubrik. Chris, thanks for joining us. >> Oh, my pleasure. It's my first VMworld CUBE appearance so I'm super stoked. >> Yeah, we're pretty excited that you hang out with, you know, just a couple of geeks as opposed to, what's it Kevin Durant and Ice Cube. Is this a technology conference or Did you and Bipple work for some Hollywood big time company? >> It's funny you say that, they'll be more tomorrow. So I'll allude to that. But ideally, why not hang out with some cool folks. I mean I live in Oakland. Hip Hop needs to be represented and the Golden State Warriors. >> It's pretty cool. I'm looking forward to the party. I know there will be huge lines. When Katie comes to throw down with a bunch of people. So looking forward to those videos. So we've been looking at Rubrik since, you know, came out of stealth. I got to interview Bipple, you know, really early on, so we've been watching. What you're on like the 4.0 release now right? How long has that taken and you know why don't you bring us up to speed with what's going on with Rubrik. >> Yeah, it's our ninth, our ninth major release over basically eight quarters. And along with that, we've announced we've hit like a 150 million dollar run rate that we've included when we started it was all about VMWare, doing back-ups providing those back-ups a place to land, meaning object store or AWS S3. And now it's, we protect Hyper-V, Acropolis from Nutanix, obviously the VMWare Suite, we can do archive to Azure, we can do, there's like 30 some-odd integration points. With various storage vendors, archive vendors, public cloud, etcetera. And the ulta release which is 4.0, just really extends that because now, not only can we provide backups and recovery and archive, which is kind of our bread and butter. But you can archive that to public cloud and now you can start running those workloads. Right, so what we call a cloud on, I can take either on demand or archive data that's been sent to S3, and I can start building virtual machines, like I said on demand. I can take the AMI, put it in EC2 and start running it right now. And I start taking advantage of the services and it's a backup product. Like, that's what always kind of blows my mind. This isn't, that's not the use case, it's one thing that we unlock from backup to archive data >> One of the challenges I usually see out there, is that people are like, oh Rubrik, you know they do backups for VMWare, how do you, you know, you're very much involved in educating and getting out there and telling people about it, how do you get over the, oh wait you heard what we were doing six months ago or six weeks ago, and now we're doing so much more. So how do you stay up with that? >> It's tough to keep up obviously, because every quarter we basically have either some kind of major or a dot release that comes out. I mean realistically, I set the table a little bit differently, I say, what are you looking to do? What are the outcomes that you're trying to drive? Simplicity's a huge one because everyone's dealing with I have a backup storage vendor and I have a storage vendor, and I have tape vendor, and all this other hodge podge things that they're dealing with. They're looking to save money, but ultimately they're trying to automate, start leveraging the cloud. Start really like, taking the headache out of providing something that's very necessary. And when I start talking about the services they can add, beyond that, because it's not just about taking a backup, leaving it in some rotting archive for 10 years, or whatever, it's really what can I do with the data once I have this duplicated and compressed, kind of pool, that I can start drawing from. And that's where people start to, their mind gets blown a little bit. Now that the individual features and check boxes sets, it is what it is, you know, like if you happen to need Hyper-V or Acropolis or whatever, it's really just where you are on that journey to start taking advantage of this data. And I think that's where people start to get really excited and we start white boarding and nerding out a little bit. >> Well Chris, so don't keep us in suspense, what kinds of things can you do once you have a copy of this data? It's still, it's all live, it's either on solid state or spinning disk or in the cloud somewhere. That's very different than just putting it on tape, so what do I do now, that I have all this data pool? >> So probably the most common use case is, I have VBC and a security group in Amazon. That exists today. I'm archiving to S3 in some way, shape, or form. Either IA or whatever flavor vessel you want. And then you're thinking, well I have these applications, what else can I do with them? What if I put it to a query service or a relational data base service, or what if I sped up 10 different copies because I need to for lode testing or some type of testing. I mean it all falls under the funnel of dev test, but I hate just capping it that way, because I think it's unimaginative. Realistically, we're saying here you have this giant pile of compute, that you're already leveraging the storage part of it, you the object store that is S3. What if you could unlock all the other services with no heavy lift? And the workload is actually built as an AMI. Right, so an ami, it's actually running an EC2, so there's no, you don't necessarily have to extend the Hyper Visor layer or anything like that. And it's essentially S3 questions, from the product perspective. It's you know, what security group, BCP, and shape of the format you want it to be. Like large, small, Xlarge, et cetera. That's it. So think about unlocking cloud potentials for less technical people or people that are dipping their toe in a public cloud. It really unlocks that ability and we control the data plane across it. >> Just one thing on that, because it's interesting, dev tests a lot of times, used to get shoved to the back. And it was like, oh you can run on that old gear, you know you don't have any money for it. We've actually found that it can increase, kind of the companies agility and development is a big part of creating big cool things out of a company, so you don't under sell what improving dev tests can do. So did you have some customer stories or great things that customers have done with what this capability has. >> Yeah, but to be fair, at first when I saw that we were going to start, basically taking VMWare backups and pushing that in archive and then turning those into EC2 instances of any shape or quantity. I was like, that's kind of crazy, who has really wanted that Then I started talking to customers and it was a huge request. And a lot of times, my architectural background would think, lift and shift, oh no, don't necessarily do that. I'm not a huge fan of that process. But while that is certainly something you can do, what they're really looking to do is, well, I have this binary package or application suite that's running on Elk Stack or some Linux distro, or whatever, and I can't do anything with that because it's in production and it's making me money, but I'd really like to see what could be done with that? Or potentially can I just eliminate it completely and turn it into a service. And so I've got some customers that completely what they're doing, they're archiving already and what they have the product doing is every time a new snapshot is taken and is sent to the cloud, it builds automatically that EC2 instance, and it starts running it. So they have a collection of various state points that they can start playing with. The actual backup is immutable, but then they're saying, alright, what if exactly what I kind of alluded to a little, what if I start using a native service in the cloud. Or potentially just discard that workload completely. And start turning it into a service, or refactor it, re platform it et cetera. And they're not having to provision, usually you have to buy infrastructure to do that. Like you're talking about the waterfall of Chinese stuff, that turns into dev stuff three years later. They don't have to do that, they can literally start taking advantage of this cloud resource. Run it for an hour or so, because devs are great at CDIC pipelines, let's just automate the whole stack, let's answer our question by running queries through jenkins or something like that. And then throw it away and it cost a couple of bucks. I think that's pretty huge. >> Well Chris, can you also use this capability for DR, for disaster recovery? Can you re hydrate your AMI's up there if everything goes South in your data center? >> Absolutely. I mean it's a journey and this is for dot zero. So I'm not going to wave my hands and say that it's an amazing DR solution. But the third kind of use case that we highlight with our product is that absolutely. You can take the work loads either as a planned event, and say I'm actually putting it here and this is a permanent thing. Or an unplanned event, which is what we all are trying to avoid. Where you're running the work loads in the cloud, for some deterministic period of time, and either the application layer or the file system layer, or even, like a data base layer, you're then protecting it, using our cloud cluster technology, which is Rubrik running in the cloud. Right there, it has access to S3 and EC2, you know, adjacently, there is not net fee and then you start protecting that and sending the data the other way. Because Rubriks software can talk to any other Rubrik's software. We don't care what format or package it's in. In the future we'd like to add more to that. I don't want to over sell it, but certainly that's the journey. >> Chris tell us about how your customers are feeling about the cloud in general. You know you've lived with the VM community for a lot of years, like many of us, and that journey to cloud and you know, what is Hybrid and multi-cloud mean to them, and you know, what you've been seeing at Rubrik over the last year. >> Yeah it's ahh, everybody has a different definition between hybrid, public, private-- >> Stu: Every customer I ever talked to will have a different answer to that. >> I just say multi cloud, because it feels the most safe And the technically correct version of that definition. It's certainly something that, everyone's looking to do. I think kind of the I want to build a private cloud phase of the journey is somewhat expired in some cases. >> Stu: Did you see Pat's keynote this morning? >> Yeah, the I want to build a private cloud using open stack and you know, build all my widgets. I feel that era of marketing or whatnot, that was kind of like 2008 or 2010. So that kind of era of marketing message has died a little bit. It's really just more I have on prem stuff, I'm trying to modernize it, using hyper-converge, or using software to find X, you know, networking et cetera But ultimately I have to start leveraging the places where my paths, my iya's and my sas are going to start running. How do I then cobble all that together. I mean at the sea level, I need visibility, I need control, I need to make executable decisions. That are financially impactful. And so having something they can look across to those different ecosystems, and give you actionable data, like here's where it's running, here's where it could run, you know, it's all still just a business decision, based on SLA. It's powerful. But then as you go kind of down message for maybe a director or someone's who's managing IT, that's really, someone's breathing down their neck, saying, we've got to have a strategy. But they're technically savvy, they don't want to just put stuff in the cloud and get that huge bill. Then they have to like explain that as well. So it kind of sits in a nice place where we can protect the modern apps, or kind of, I guess you can call them, modern slash legacy in the data center. But also start providing protection at a landing pad for the cloud native to use as an over watch term The stuff that's built for cloud that runs there, that's distributed and very sensitive to the fact that it charges per iota of use at the same time. >> Well Chris, originally Rubrik was deploying to customers as an appliance, right? So can you talk a little bit about that, right, you have many different options now, the customer, right? You can get open source, you can get commercial software, or you can get appliances, you can get SAS, and now it sounds like you're, there's also a piece that can run in the cloud, right? That it's not just a box that sits in a did center somewhere So can you talk about, again, what do customers want? What's the advantage of some of those different deployment mechanisms, what do you see? >> I'm not saying this as a stalling tactic, but I love that question. Because yes, when we started it made sense, build a turnkey appliance, make sure that it's simple. Like in deployment, we used to say it can deploy in an hour and that includes the time to take it out of the box and that only goes so far because that's one use case. So certainly, for the first year or so, the product that was where we were driving it, as a scale out node based solution then we added Rubrik edge as a virtual appliance. And really it was meant to, I have a data center and I'm covering those remote offices, type use cases. And we required that folks kind of tether the two, because it's a single node that's really just a suggesting data and bringing it back using policy. Then we introduced cloud cluster in 3.2 which is a couple of releases ago. And that allows you to literally build a four plus node cluster as your AWS, basically you give us your account info and we share the EMI with you or the VM in case of Azure and then you can just build it, right? And that's totally independent, like you can just be a customer. We have a couple of customers that are public, that's all they do, they deploy cloud cluster they backup things in that environment. And then they replicate or archive to various clouds or various regions within clouds. And there's no requirement to buy the appliance because that would be kind of no bueno to do that. >> Sure. >> So right, there's various packages or we have the idea now where you can bring your own hardware to the table. And we'll sell you the software, so like Lenovo and Cisco and things like that. It can be your choice based on the relationships you have. >> Wow Chris your teams are gone a lot, not just your personal team but the Rubrik team I walked by the booth and wait, I saw five more people that I know from various companies. Talk about the growth of like, you know Rubrik. You joined a year ago and it felt like a small company then. Now you guys are there, I get the report from this financial analyst firms and like, have you seen the latest unicorn, Rubrik and I'm like, Rubrik, I know those guys. And gals. So yeah absolutely, talk about the growth of the company. What's the company hiring for? Tell us a little bit about the culture inside. >> Sure, I mean, it's actually been a little over two years now that I've been there, it's kind of flying. I was in the first 50 hires for the company. So at the time I felt like the FNG, but I guess now, I'm kind like the old, old man. I think we're approaching or have crossed the 500 employee threshold and we're talking eight quarters essentially. A lot of investment, across the world, right, so we decided very early on to invest in Europe as a market. We had offices in Utruck in the Netherlands. And in London, the UK, we've got a bunch of engineering folks in India. So we've got two different engineering teams. As well as, we have an excellent, center of excellence, I think in Kansas City. So there's a whole bunch of different roots that we're planting as a company. As well as a global kind of effort to make sales, support, product, engineering, marketing obviously, something that scales everywhere. It's not like all the engineers are in Palo Alto and Silicone Valley and everyone else is just in sales. But we're kind of driving across everywhere. My team went from one to six. Over the last eight or nine months. So everything is growing. Which I guess is good. >> As part of that you also moved to Silicone Valley and so how does it compare to the TV show. >> Chris: It's in Oakland. >> Well it's close enough to Silicone Valley. >> It's Silicone Valley adjacent. I will say I used to visit all the time, you know. For various events and things like that. Or for VM World or whatnot. I always got the impression that I liked being there for about a week and then I wanted to leave before I really started drinking the kool aid a little heavily so it's nice being just slightly on the east bay area. At the same time, I go to events and things now. More as a local and it's kind of awesome to hear oh I invented whatever technology, I invented bootstrap or MPM or something like that. And they're just available to chat with. I tried it at that the, the sunscreen song, where he says, you know, move to california, but leave before you turn soft. So at some point I might have to go back to Texas or something to just to keep the scaley rigidity to my persona intact. >> Yeah, so you missed the barbecue? >> Well I don't know if you saw Franklin's barbecue actually burned down during the hurricane, so. >> No >> Yeah, if you're a, a huge barbecue fan in Austin, weep a tear, it might be a bad mojo for a little bit. >> Wow. Alright, we were alluding at the very beginning of the interview, you've got some VIP guests, we don't talk too much about, like, oh we're doing this tomorrow and everything, but you got some cool activities, the all stars, you know some of the things. Give us a little viewpoint, what's the goal coming into VM World this year and what are some of the cool things that you're team and the extended team are doing. >> Yeah, so kind of more on the nerdy fun side, we've actually built up, one of my team, Rebecca Fitzhughes build out this V all stars card deck so we picked a bunch of infuencers, and people that, you know friends and family kind of thing built them some trading cards and based on what you turn in you can win prizes and things like that. It was just a lot of other vendors have done things that I really respect. Like Solid Fire has the socks and the cards against humanity as an example. I wanted to do something similar and Rebecca had a great idea. She executed on that. Beyond that though, we obviously have Ice Cube coming in. He's going to be partying at the Marquis on Tuesday evening so he'll be, he'll be hanging around, you know the king of hip hop there. And on a more like fun, charitable note, we actually have Kevin Durant coming in tomorrow. We are shooting hoops for his charity fund. So everybody that sinks a goal, or ahh, I'm obviously not a basket ball person, but whoever sinks the ball into the hoop gets two dollars donated to his charity fund and you build it to win a jersey and things like that. So kind of spreading it across sports, music, and various digital transformation type things. To make sure that everyone who comes in, has a good time. VMWare's our roots, right? 1.0, the product was focused on that environment. It's been my roots for a long time. And we want to pay that back to the community. You can't forget where you came from, right? >> Alright, Chris Wahl, great to catch up with you. Thanks for joining us sporting your Alta t-shirt your Rubrik... >> I'm very branded. >> John Troyer and I will be back with lots more coverage here at VM World 2017, you're watching theCUBE.

Published Date : Aug 29 2017

SUMMARY :

Brought to you by Vmware and its ecosystem partner. and excited to welcome back to the program It's my first VMworld CUBE appearance so I'm super stoked. Yeah, we're pretty excited that you hang out with, It's funny you say that, they'll be more tomorrow. I got to interview Bipple, you know, really early on, And I start taking advantage of the services and it's is that people are like, oh Rubrik, you know they do I say, what are you looking to do? what kinds of things can you do once you have shape of the format you want it to be. And it was like, oh you can run on that old gear, you know And they're not having to provision, usually you have to Right there, it has access to S3 and EC2, you know, mean to them, and you know, Stu: Every customer I ever talked to will have a I just say multi cloud, because it feels the most safe the modern apps, or kind of, I guess you can call them, an hour and that includes the time to take it out of the box And we'll sell you the software, so like Talk about the growth of like, you know Rubrik. And in London, the UK, we've got a bunch of engineering As part of that you also moved to Silicone Valley I will say I used to visit all the time, you know. Well I don't know if you saw Franklin's barbecue Yeah, if you're a, a huge barbecue fan in Austin, you know some of the things. and you build it to win a jersey and things like that. Alright, Chris Wahl, great to catch up with you. John Troyer and I will be back with lots more

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Stephan Scholl, Infor - Inforum 2017 - #Inforum2017 - #theCUBE


 

(fun, relaxing music) >> Announcer: Live from the Javits Center, in New York City, it's The Cube. Covering Inforum 2017. Brought to you by Infor. >> Welcome back to The Cube's coverage of Inforum 2017, I'm your host Rebecca Knight, along with my co-host, Dave Vellante. We're joined by Stephan Scholl, he is the president of Infor. Thanks so much for joining us. >> My pleasure. >> For returning to The Cube My pleasure, yeah, three years in a row, I think, or four now, yeah. >> Indeed. >> Well, we skipped a year in-between. >> That's right! Three years. Anyway, it's good to be here. >> This has been a hugely successful conference. We're hearing so much about the growth and momentum of Infor. Can you unpack this a little bit for our viewers? >> Yeah, I mean... People always forget, we only started this aggressive Cloud journey literally three years ago. When we announced at Inforum in New Orleans that we were pivoting the company to Infor industry-based CloudSuites, everybody looked at us and said, "Well, that's an interesting pivot." "Why are you doing that?" Well, as I said yesterday, we really saw a market dynamic that you see retail just getting crushed by what Amazon was doing, and it was obvious, today, but then it wasn't so obvious, but that was going to happen everywhere, and so we really got aggressive on believing we could put together a very different approach to tackling enterprise software. Everybody is so fatigued from buying from our competitors traditional, perpetual software, and then you end up modifying the hell out of it, and then you end up spending a gazillion dollars, and it takes forever, and then if it does work, you're stuck on old technology already, and you never get to the next round of evolution. So we said why don't we build CloudSuites, take the last model industry functionality that we have, put it in a Cloud, make it easy for our customers to implement it, and then we'll run it for them. And then, by the way, when the newest innovation comes up, we'll upgrade them automatically. That's what Cloud's about. So, that's where we saw that transformation happening. So in three years, we went from two percent, as I said, to 55 plus percent of our revenue. And, by the way, we're not a small company. Nobody at our size and scale has ever done that in enterprise software. So what an accomplishment. >> So a lot of large companies, some that you used to work for, are really slow. And, you know what, lot of times that's okay, 'cause IT tends to be really slow, as you move to the Cloud, and move to the situation where, "Okay, guys, new release coming!" What are your customers saying about that, how are you managing that sort of pace of change, that flywheel of Amazon, and you're now innovating on and pushing to your climate? >> Well, they're excited. And, I'll tell you, I remember standing up in Frankfurt, Germany, 18 months ago for a keynote, and said the Cloud is coming, I almost got kicked out of Germany. (laughing) They said it's not going to happen in Germany, "No, we're an engineering pedigree," "We're going to be on premise." >> "You don't understand the German market!" >> "You don't understand our marketplace!" And, we're really close friends with Andy Jassy at AWS, the CEO. The AWS guys are unbelievable, and innovative, and we said, "You know, you guys got to build" "your next data center in Frankfurt." So they put hundreds of millions of dollars investment in, built a data center. What's the fastest growing data center in Europe, right now, for them? Frankfurt! The German market, for us, our pipeline is tenfold increase from what it was a year ago. So, it's working in Germany, and it's happening on a global basis, we have, I think yesterday 75 customers from Saudi, from Dubai, from all the Middle East. Cloud is a great equalizer. And don't underestimate... I'll take luck to our advantage anytime. The luck part is, there's fatigue out there, they're exhausted, they've spent so much money over the last 20, 30 years, and never reached the promise of what they were sold then, and so now, with all the digital disruption, I think of the business competitive challenges that they have to deal with. I mean, I don't care, you could be in Wichita, Kansas building up an e-commerce website, and compete with a company in Saudi tomorrow. The barest entry in manufacturing, retail, look at government agencies, we're doing nine-figure transformations in the Cloud with public sector agencies. Again, two years ago, they would've said never going to happen. >> Rebecca: Yet the government does spend that kind of... >> Mike Rogers, the CIO, was saying to us, "Look at all the technical debt" "that we've accumulated over the years," "and it just keeps getting worse and worse and worse." "If we don't bite the bullet and move now," "it's just going to take that much longer." >> That's right. And they're leap-frogging. I mean, I'm so excited, government agencies! I mean, there's even some edicts in some places where Cloud-only. I mean, this whole Gold Coast opportunity, 40 plus different applications in Australia, all going into the Cloud to handle all the complexities they have around the commonwealth games that they're trying to deal with. I mean, just huge transformations on a global basis. >> At this conference, we're hearing about so many different companies, and, as you said, government agencies, municipalalities, transforming their business models, transforming their approaches. What are some of your favorite transformation stories? >> My favorite one that we're doing is Travis Perkins. John Carter, I think you guys maybe even interviewed him last year when he was here. CEO. Old, staid distribution business, and taking a whole new fresh approach. Undoing 40 to 50 different applications, taking his entire business, putting it online. He deals with contracts... So, they're the Home Depot of the UK market, and right now, if you drive up into that car port and you want to order something, it's manual! Sticky notes, phones, dumb terminals, I need five windows, I need five roofs, I need five pieces of wood. Everything is just a scurry. He wants to put it on, when you drive up next year, you're on an iPad, what would you like? Oh, by the way, you want to make a custom order on that window frame? You want to make green, yellow, red, you want to order different tiles of roof styling? Custom orders is the future! You, as a contractor, walking into that organization, want to make a custom order. That, today, is very complicated for a company like that to handle. So, the future is about undoing all that, embracing the custom order process, giving you a really unique, touchless buying process, where it's all on an iPad, it's all automated. You know what? Telling you here's your five new windows, here's a new frame want on it, and, by the way, you're going to get it in five days, and three hours, and 21 minutes. Deliver it to your door. And, by the way, these guys are huge. They're one of the biggest distribution companies in all of the United Kingdom, and so that's one of my favorite stories. >> Can we go over some of the metrics that you've been sharing. I know it's somewhat repetitive, but I'd like to get it on-record. There's 55%, 84, 88, over 1100, 3x, 60%, maybe start with the 60%. I think it's bookings grown, right? >> That's right, yeah. License sales growth last year alone. And, you know what, I looked at... You know, I see it, Paul always keeps me honest, but I think I can say it anyways, which is, I looked at everybody else. You look at the... I don't want you to mention any competitors' names, but you look at the top five competitors that we have, we grew faster than they did last year on sales of CloudSuite. >> Dave: Okay, so that's 60% bookings growth on Cloud. >> Correct. That's right. Yeah, I mean, when you think of our competitors, I saw 40s, I saw some 30s, I saw maybe 52 at the next one down. So, people don't think of us that way, so we were, at the enterprise scale, the fastest-growing Cloud company in the world. >> Okay, and then, 3x, that's 3x the number of customers who bought multiple products, is that correct? >> Correct. That's exactly right. So think about that transformation. They used to buy from us one product, feature-function rich, great, but now they're buying five products, eight products from us. So 3x increase, year over year, already happening. >> Okay, and then there was 1100 plus, is Go-Lives. >> People always ask us, "You're selling stuff." "Are they using it, is it working?" So you got to follow up with delivery, so we're spending a ton of money on certification, training, and ablement, look at the SI community, look at the... Deloitte, Accenture, Capgemini, and Grand Thornton. Four of the major SIs in the world, that weren't here last year, are all here this year. Platinum sponsors. So, delivery on Go Lives, the SI community is embracing us, helping us, I mean, I can't do hundred million dollar transformations on my own with these customers. I need Accenture, I need Deloitte. Look at Koch! Koch's going to be a massive transformation for financials, human-capital management, and so I've got Accenture and Deloitte helping us, taking a hundred plus billion dollar company on those two systems. >> And then 84, 88, is number of... >> Live customers, I'm sorry, total customers that we have in the Cloud. >> Cloud customers, okay, not total customers. >> No, no, we have 90 thousand plus customers, and then 84, 85 hundred of them are Cloud-based customers. >> You got a ways to go, then, to convert some of those customers. >> Well, that's our opportunity, that's exactly right. >> And then 55% of revenue came from the Cloud, obviously driven by the Cloud bookings growth. >> That's right. Exactly. So, I mean, just the acceleration, I mean, as I said, when we started this thing in New Orleans, two or three percent. Now, tipping point, revenue, I mean, it's one thing to sell software, but to actually turn it into revenue? Nobody at an enterprise scale has done 2% to 55% at our size. Lots of companies in the hundred million dollar range, small companies, you know, if we were a stand-alone Cloud company, we'd be one of the largest Cloud companies in the world. >> So the narrative from Oracle, I wonder if you can comment on this, is that the core of enterprise apps has not moved to the Cloud, and we, Oracle, are the guys to move it there, 'cause we are the only ones with that end-to-end Cloud on prem to Cloud strategy. And most companies can't put core apps, enterprise apps in the Cloud, especially on Amazon. So, what do you say to that? >> Well, it's 'cause they don't have the applications to do that. Oracle doesn't have the application horsepower. They don't have industry-based application suites. If you think of what fusion is, it's a mishmash of all the applications that they bought. There's no industry capability. >> Dave: It's horizontal, is what you're saying. >> It's horizontal. Oracle is fighting a battle against Amazon, they declared war against AWS. I'm glad they're doing that, go ahead! I mean, I don't know how you're going to do that, but they want to fight the infrastructure game. For us, infrastructure is commoditized. We're fighting the business applications layer game, and so, when you look at SAP or Oracle or anybody else, they have never done what we've done in our heritage, which is take key critical mission functionality for aerospace and defense, or automotive, we have the last mile functionality. I mean, I have companies like Ferrari, on of the most complicated companies, we've talked about those guys for years, no modifications! BAE, over in the UK, building the F-35 fighter jets and the Typhoon war planes. It doesn't get any more complicated than building an F-35 fighter jet. No modifications in their software, that they have with us. You can only build Cloud-based solutions if you don't modify the software. Oracle doesn't have that. Never had it. They're not a manufacturing pedigreed organization. SAP's probably more analogous to that, but even for SAP, they only have one complete big product sect covering retail, distribution, finance, it's the same piece of software they send to a bank, that they send to a retailer, that they send to a manufacturer. We don't do that. That's been our core forever. >> So your dogma is no custom mods, because you're basically saying you can't succeed in the Cloud with custom mods. >> Yeah. I mean, we have an extensive ability platform to do some neat things if you need to do that, but generally speaking, otherwise it's just lipstick on the pig if you're running modified applications. That's called hosting, and that's what these guys are largely doing. >> You know, a lot of people count hosting as Cloud. >> That's the game they're playing, right? >> They throw everything in the Cloud kitchen sink. >> That's right. >> Okay. >> And as we've talked with you before, we've spent billions... We all are R&D's at the application layer. We do some work in the integration layer, and so on, but most of our money is spent in the last mile, which, Oracle and SAP, they're all focused on HANA and infrastructure, and system speed, and performance, and all the stuff that we view as absolutely being commoditized. >> But that's really attractive to the SIs, the fact that they don't go that last mile, so why is it that the SIs are suddenly sort of coming to Infor? >> Well, you know what, because they finally see there is a lot of revenue still on the line in terms of change management, business-process re-engineering. You take a company like Travis Perkins, change their entire model of doing business. There isn't just modification revenue, or integration revenue, there is huge dollars to be had on change management, taking the company to CEO John Carter by the hand, and saying, "Here's how you're going to transform" "your entire business process." That more than makes up in many cases high-value dollars than focused on changing a widget from green to yellow. >> And it's right in the wheelhouse of these big consultancies. >> And they're making good money on digital transformation, so what are the digital use cases? Look at Accenture, they're did a great job. I think 20 plus percent of their business now is all coming from digital. That didn't exist three, four years ago. >> Well, you have a lot of historical experience from your Oracle days of working with those large SIs, they were critical, but they were doing different type of work then, and is it your premise that a lot of that's going away and that's shifting toward. >> The voice of the customer is everything, and it may take time, you can snow a customer once, which we've already done in this industry of software. We told them buy generic-based software, Oracle or SAP, modify it with an SI, take five years, implement it for a hundred million dollars, get stuck on this platform, and if you're lucky, maybe upgrade in ten years. Whoever does that today, as a playbook, as a customer, and if an SI can sell that, I'm not buying that. You think any customers I know today are buying that vision? I don't think so. >> Dave: Right there with the outsourcing business. >> Another thing that's come out of this conference is attention to the Brooklyn Nets deal. Can you talk a little big about it, it's very cool. >> I love those guys. >> Dave: We're from Boston, we love the Brooklyn Nets, too. >> Rebecca: They can play us anytime. Every day. >> Dave: For those draft picks. >> Bread on those guys. You know what it is. And Shaun, the GM, the energy... I use that a lot with my own guys. Brooklyn grit. And they're willing to look and upturn every aspect of the game to be more competitive. And so, we're in there with our technology, looking at every facet, what are they eating? What's the EQ stuff? Emotional occlusion. How's that team collaboration coming together? And then mapping it to... They have the best 3-D cameras on the court, so put positioning, and how are they aligning to each other? Who's doing the front guard in terms of holding the next person back so they can have enough room to do a three-point shot. Where should the three-point shot come from? So, taking all the EQ stuff, the IQ stuff, the performance, the teamwork, putting it all into a recipe for success. These guys are, I'm going to predict it here, these guys are going to rock it next couple years as a team. >> But it's not just what goes on in the court, too, it's also about fan engagement, too. >> All that. Well, fair enough, I get all excited about just making them a much better team, but the whole fan experience, walking into a place knowing that if I get up now, the washroom line isn't 15 miles long, and at the cash line for a beer isn't going to take me 20 minutes, that I'm on my app, you actually have all the information and sensors in place to know that, hey, right now's a great time, aisle number four, queue number three, is a one-minute wait for a beer, go. Or have runners, everything's on your phone, they don't do enough service. So there's a huge revenue opportunity along with it, from a business point of view, but I would also say is a customer service element. How many times have we sat in a game and go, "I'm not getting up there." (laughing) Unless you're sitting in the VIP area, well, there's revenue to be had all over the place. >> Yeah, they're missing out on our beer money, yeah. >> It's ways for a stadium services, which are essentially a liquor distribution system. >> Exactly right. But to do that, you got to connect point of sales systems, you got to connect a lot of components, centers in the bathroom, I mean you got to do a lot of work, so we're going to create the fan experience of the future with them. And preferences, the fact that they that when you walk in past the door with your app and if you have Brooklyn Nets app, that we know who your favorite player is, and you get a little text that says, Hey, you know what, 10% discount on the next shirt from your favorite player. Things like that. Making a personal connection with you about what you like is going to change the game. And that's happening everywhere. In retail... Everybody wants to have a one-to-one relationship. You want to order your Nike shoes online with a green lace and a red lace on the right, Nike allows you to do that. You want to order a shirt that they'll make for you with the different emblems on it and different technology to it, those are things they're doing, too. So, a very one-to-one relationship. >> Well, it's data, it's more than data, it's insights, and you guys are, everybody's a data company, but you're really becoming a data and insight-oriented company. Did you kind of stumble into that, or is this part of the grand plan six years ago, or, how'd you get here? >> Listen, this whole... I mean, to do Cloud-based solutions by industry is not just to solve for applications going from infrastructure on-premise to off-premise. What does it allow you to do? Well, if you're in AWS, I can run ten thousand core products... I can run a report in ten minutes with AWS that would take you a week, around sales information, customer information. Look at all the Netflix content. You log in on Netflix, "Suggestions for You". It's actually pretty accurate, isn't it? >> Scarily accurate, sometimes, yes. >> It's pretty smart what goes into the algorithm that looks at your past. Unfortunately, I log into my kid's section, and it has my name on it and I get all these wonderful recommendations for kids. But that's the kind of stuff that we're talking about. Customers need that. It's about real-time, it's not looking backwards anymore, it's about real-time decisioning, and analytics, and artificial intelligence, AI is the future, for sure. >> So more, more on the future, this is really fun, listening to you talk, because you are the president, and you have a great view of what's going on. What will we be talking about next year, at this time. Well, it won't be quite this time, it will be September, but what do you think? >> I think what you're going to see is massive global organizations up on stage, like the ones I mentioned, Travis Perkins, a Safeway, a Gold Coast, a Hertz. Hertz is under attack as a company. The entry point into the rental car business was very very hard. Who's going to go buy 800 thousand cars and get in the rental business, open ten thousand centers? You don't need to do that anymore today! >> Dave: Software! >> It's called software, the application business, so their business model is under attack. We're feverishly working with their CEO and their executive team and their board on redefining the future of Hertz. So, you're going to see here, next year, the conversation with a company like Hertz rebounding and growing and being successful, and... The best defense is a good offense, so they're on the offensive! They're going to use their size, their scale. You look at the retailers, I mean, I love the TAL story, and they may make one out of every six shirts. Amazon puts the same shirt online that they sell for $39.99, TAL's trying to sell for $89.99. They're saying enough of that. They built these beautiful analyzers, sensors, where you walk into this little room, and they do a sensor of a hundred different parts of your body, So they're going to get the perfect shirt for you. So, it's an experience center. So you walk into this little center, name's escaping me now, but they're going to take all the measurements, like a professional Italian tailor would do, you walk in, it's all automatic, you come out of there, they know all the components of your body, which is a good thing and a bad thing, sometimes, right, (laughing) they'll know it all, and then you go to this beautiful rack and you're going to pick what color do you want. Do you want a different color? So everything is moving to custom, and you'll pay more for that. Wouldn't you pay for a customized shirt that fits your body perfectly, rather than an off-the-rack kind of shirt at $89.99? That's how you compete with the generic-based e-commerce plays that are out there. That use case of TAL is going to happen in every facet. DSW, the DSW ones, these experience centers, the shoeless aisles, that whole experience. You walking in as... The most loyal women shoppers are DSW with their applications, right. >> Rebecca: (laughs) Yes, yes. >> And how many times have you tried a shoe on that doesn't fit properly, or it's not the one you want, or they don't have your size, or you want to make some configurations to it. You got one, too! >> Ashley came by and gave me this, 'cause I love DSW. >> I mean, they're what, one of the biggest shoe companies in the world not standing still, and Ashley is transforming, they went live on financials in like 90 days in the Cloud? Which for them, that kind of innovation happening that fast is unbelievable. So next year, the whole customer experience side is going to be revolutionary for these kinds of exciting organizations. So, rather than cowering from this digital transformation, they're embracing it. We're going to be the engine of digital transformation for them. I get so excited to have major corporations completely disrupting themselves to change their market for themselves moving forward. >> What is the Koch investment meant to you guys, can you talk about that a little bit? I mean, obviously, we hear two billion dollars, and blah, blah, blah, but can you go a little deeper for us? >> I mean, forget all the money stuff, for a minute, just the fact that we're part of a company that is, went from 40 million when Charles Koch started, taking over from his family, and went to 100 plus billion. Think about that innovation. Think about the horsepower, the culture, the aggressiveness, the tenacity, the will to win. We already had that. To combine that with their sheer size and scale is something that is exciting for me, one. Two is they view technology as the next big chapter for them. I mean, again, not resting on your laurels, I'm already 100 billion, they want to grow to 150, 200 billion, and they see technology as the root to getting there. Automating their plants, connecting all their components of their employees, gain the right employees to the right place, so workforce management, all the HR stuff that we're doing on transformation, the financials, getting a global consolidated view across 100 billion dollar business on our systems. That's transformation! That's big, big business for us, and what a great reference to have! A guy like Steve Fellmeier up yesterday, he'll be up here next year talking about how he's using us to transform their business. There's not many 100 billion dollar companies around, right, so what a great reference point for us to have them as a customer, and as a proved point of success. >> Well, we'll look forward to that in September, and seeing you back here next year, too. >> Look forward to it. >> Stephan, thanks so much for joining us. >> Thanks, appreciate it, thank you. >> I'm Rebecca Knight for Dave Vellante, that is it for us and The Cube at Inforum 2017. See you next time.

Published Date : Jul 12 2017

SUMMARY :

Brought to you by Infor. he is the president of Infor. For returning to The Cube Anyway, it's good to be here. the growth and momentum of Infor. and you never get to the next round of evolution. and move to the situation where, 18 months ago for a keynote, and said the Cloud is coming, and we said, "You know, you guys got to build" Rebecca: Yet the government "Look at all the technical debt" all going into the Cloud to handle all the complexities and, as you said, government agencies, Oh, by the way, you want to make a custom order but I'd like to get it on-record. I don't want you to mention any competitors' names, I saw maybe 52 at the next one down. but now they're buying five products, Four of the major SIs in the world, total customers that we have in the Cloud. and then 84, 85 hundred of them are Cloud-based customers. to convert some of those customers. obviously driven by the Cloud bookings growth. So, I mean, just the acceleration, I mean, as I said, is that the core of enterprise apps the applications to do that. it's the same piece of software they send to a bank, in the Cloud with custom mods. to do some neat things if you need to do that, and all the stuff that we view taking the company to CEO John Carter by the hand, And it's right in the wheelhouse I think 20 plus percent of their business now and is it your premise that a lot of that's going away and it may take time, you can snow a customer once, is attention to the Brooklyn Nets deal. Rebecca: They can play us anytime. so they can have enough room to do a three-point shot. But it's not just what goes on in the court, too, and at the cash line for a beer It's ways for a stadium services, And preferences, the fact that they that when you walk in and you guys are, everybody's a data company, I mean, to do Cloud-based solutions by industry But that's the kind of stuff that we're talking about. this is really fun, listening to you talk, and get in the rental business, and then you go to this beautiful rack that doesn't fit properly, or it's not the one you want, 'cause I love DSW. I get so excited to have major corporations gain the right employees to the right place, and seeing you back here next year, too. See you next time.

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