Lucas Snyder, Indiana University and Karl Oversteyns, Purdue University | SuperComputing 22
(upbeat music) >> Hello, beautiful humans and welcome back to Supercomputing. We're here in Dallas, Texas giving you live coverage with theCUBE. I'm joined by David Nicholson. Thank you for being my left arm today. >> Thank you Savannah. >> It's a nice little moral. Very excited about this segment. We've talked a lot about how the fusion between academia and the private sector is a big theme at this show. You can see multiple universities all over the show floor as well as many of the biggest companies on earth. We were very curious to learn a little bit more about this from people actually in the trenches. And we are lucky to be joined today by two Purdue students. We have Lucas and Karl. Thank you both so much for being here. >> One Purdue, one IU, I think. >> Savannah: Oh. >> Yeah, yeah, yeah. >> I'm sorry. Well then wait, let's give Indiana University their fair do. That's where Lucas is. And Karl is at Purdue. Sorry folks. I apparently need to go back to school to learn how to read. (chuckles) In the meantime, I know you're in the middle of a competition. Thank you so much for taking the time out. Karl, why don't you tell us what's going on? What is this competition? What brought you all here? And then let's dive into some deeper stuff. >> Yeah, this competition. So we're a joint team between Purdue and IU. We've overcome our rivalries, age old rivalries to computer at the competition. It's a multi-part competition where we're going head to head against other teams from all across the world, benchmarking our super computing cluster that we designed. >> Was there a moment of rift at all when you came together? Or was everyone peaceful? >> We came together actually pretty nicely. Our two advisors they were very encouraging and so we overcame that, no hostility basically. >> I love that. So what are you working on and how long have you guys been collaborating on it? You can go ahead and start Lucas. >> So we've been prepping for this since the summer and some of us even before that. >> Savannah: Wow. >> And so currently we're working on the application phase of the competition. So everybody has different specialties and basically the competition gives you a set of rules and you have to accomplish what they tell you to do in the allotted timeframe and run things very quickly. >> And so we saw, when we came and first met you, we saw that there are lights and sirens and a monitor looking at the power consumption involved. So part of this is how much power is being consumed. >> Karl: That's right. >> Explain exactly what are the what are the rules that you have to live within? >> So, yeah, so the main constraint is the time as we mentioned and the power consumption. So for the benchmarking phase, which was one, two days ago there was a hard camp of 3000 watts to be consumed. You can't go over that otherwise you would be penalized for that. You have to rerun, start from scratch basically. Now there's a dynamic one for the application section where it's it modulates at random times. So we don't know when it's going to go down when it's going to go back up. So we have to adapt to that in real time. >> David: Oh, interesting. >> Dealing with a little bit of real world complexity I guess probably is simulation is here. I think that's pretty fascinating. I want to know, because I am going to just confess when I was your age last week, I did not understand the power of supercomputing and high performance computing. Lucas, let's start with you. How did you know this was the path you wanted to go down in your academic career? >> David: Yeah, what's your background? >> Yeah, give us some. >> So my background is intelligence systems engineering which is kind of a fusion. It's between, I'm doing bioengineering and then also more classical computer engineering. So my background is biology actually. But I decided to go down this path kind of on a whim. My professor suggested it and I've kind of fallen in love with it. I did my summer internship doing HPC and I haven't looked back. >> When did you think you wanted to go into this field? I mean, in high school, did you have a special teacher that sparked it? What was it? >> Lucas: That's funny that you say that. >> What was in your background? >> Yes, I mean, in high school towards the end I just knew that, I saw this program at IU and it's pretty new and I just thought this would be a great opportunity for me and I'm loving it so far. >> Do you have family in tech or is this a different path for you? >> Yeah, this is a different path for me, but my family is so encouraging and they're very happy for me. They text me all the time. So I couldn't be happier. >> Savannah: Just felt that in my heart. >> I know. I was going to say for the parents out there get the tissue out. >> Yeah, yeah, yeah. (chuckles) >> These guys they don't understand. But, so Karl, what's your story? What's your background? >> My background, I'm a major in unmanned Aerial systems. So this is a drones commercial applications not immediately connected as you might imagine although there's actually more overlap than one might think. So a lot of unmanned systems today a lot of it's remote sensing, which means that there's a lot of image processing that takes place. Mapping of a field, what have you, or some sort of object, like a silo. So a lot of it actually leverages high performance computing in order to map, to visualize much replacing, either manual mapping that used to be done by humans in the field or helicopters. So a lot of cost reduction there and efficiency increases. >> And when did you get this spark that said I want to go to Purdue? You mentioned off camera that you're from Belgium. >> Karl: That's right. >> Did you, did you come from Belgium to Purdue or you were already in the States? >> No, so I have family that lives in the States but I grew up in Belgium. >> David: Okay. >> I knew I wanted to study in the States. >> But at what age did you think that science and technology was something you'd be interested in? >> Well, I've always loved computers from a young age. I've been breaking computers since before I can remember. (chuckles) Much to my parents dismay. But yeah, so I've always had a knack for technology and that's sort of has always been a hobby of mine. >> And then I want to ask you this question and then Lucas and then Savannah will get some time. >> Savannah: It cool, will just sit here and look pretty. >> Dream job. >> Karl: Dream job. >> Okay. So your undergrad both you. >> Savannah: Offering one of my questions. Kind of, It's adjacent though. >> Okay. You're undergrad now? Is there grad school in your future do you feel that's necessary? Is that something you want to pursue? >> I think so. Entrepreneurship is something that's been in the back of my head for a while as well. So may be or something. >> So when I say dream job, understand could be for yourself. >> Savannah: So just piggyback. >> Dream thing after academia or stay in academia. What's do you think at this point? >> That's a tough question. You're asking. >> You'll be able to review this video in 10 years. >> Oh boy. >> This is give us your five year plan and then we'll have you back on theCUBE and see 2027. >> What's the dream? There's people out here watching this. I'm like, go, hey, interesting. >> So as I mentioned entrepreneurship I'm thinking I'll start a company at some point. >> David: Okay. >> Yeah. In what? I don't know yet. We'll see. >> David: Lucas, any thoughts? >> So after graduation, I am planning to go to grad school. IU has a great accelerated master's degree program so I'll stay an extra year and get my master's. Dream job is, boy, that's impossible to answer but I remember telling my dad earlier this year that I was so interested in what NASA was doing. They're sending a probe to one of the moons of Jupiter. >> That's awesome. From a parent's perspective the dream often is let's get the kids off the payroll. So I'm sure that your families are happy to hear that you have. >> I think these two will be right in that department. >> I think they're going to be okay. >> Yeah, I love that. I was curious, I want to piggyback on that because I think when NASA's doing amazing we have them on the show. Who doesn't love space. >> Yeah. >> I'm also an entrepreneur though so I very much empathize with that. I was going to ask to your dream job, but also what companies here do you find the most impressive? I'll rephrase. Because I was going to say, who would you want to work with? >> David: Anything you think is interesting? >> But yeah. Have you even had a chance to walk the floor? I know you've been busy competing >> Karl: Very little. >> Yeah, I was going to say very little. Unfortunately I haven't been able to roam around very much. But I look around and I see names that I'm like I can't even, it's crazy to see them. Like, these are people who are so impressive in the space. These are people who are extremely smart. I'm surrounded by geniuses everywhere I look, I feel like, so. >> Savannah: That that includes us. >> Yeah. >> He wasn't talking about us. Yeah. (laughs) >> I mean it's hard to say any of these companies I would feel very very lucky to be a part of, I think. >> Well there's a reason why both of you were invited to the party, so keep that in mind. Yeah. But so not a lot of time because of. >> Yeah. Tomorrow's our day. >> Here to get work. >> Oh yes. Tomorrow gets play and go talk to everybody. >> Yes. >> And let them recruit you because I'm sure that's what a lot of these companies are going to be doing. >> Yeah. Hopefully it's plan. >> Have you had a second at all to look around Karl. >> A Little bit more I've been going to the bathroom once in a while. (laughs) >> That's allowed I mean, I can imagine that's a vital part of the journey. >> I've ruin my gaze a little bit to what's around all kinds of stuff. Higher education seems to be very important in terms of their presence here. I find that very, very impressive. Purdue has a big stand IU as well, but also others all from Europe as well and Asia. I think higher education has a lot of potential in this field. >> David: Absolutely. >> And it really is that union between academia and the private sector. We've seen a lot of it. But also one of the things that's cool about HPC is it's really not ageist. It hasn't been around for that long. So, I mean, well, at this scale it's obviously this show's been going on since 1988 before you guys were even probably a thought. But I think it's interesting. It's so fun to get to meet you both. Thank you for sharing about what you're doing and what your dreams are. Lucas and Karl. >> David: Thanks for taking the time. >> I hope you win and we're going to get you off the show here as quickly as possible so you can get back to your teams and back to competing. David, great questions as always, thanks for being here. And thank you all for tuning in to theCUBE Live from Dallas, Texas, where we are at Supercomputing. My name's Savannah Peterson and I hope you're having a beautiful day. (gentle upbeat music)
SUMMARY :
Thank you for being my left arm today. Thank you both so much for being here. I apparently need to go back from all across the world, and so we overcame that, So what are you working on since the summer and some and you have to accomplish and a monitor looking at the So for the benchmarking phase, How did you know this was the path But I decided to go down I saw this program at They text me all the time. I was going to say for Yeah, yeah, yeah. But, so Karl, what's your story? So a lot of unmanned systems today And when did you get that lives in the States I can remember. ask you this question Savannah: It cool, will of my questions. Is that something you want to pursue? I think so. So when I say dream job, understand What's do you think at this point? That's a tough question. You'll be able to review and then we'll have you back What's the dream? So as I mentioned entrepreneurship I don't know yet. planning to go to grad school. to hear that you have. I think these two will I was curious, I want to piggyback on that I was going to ask to your dream job, Have you even had I can't even, it's crazy to see them. Yeah. I mean it's hard to why both of you were invited go talk to everybody. And let them recruit you Have you had a second I've been going to the I mean, I can imagine that's I find that very, very impressive. It's so fun to get to meet you both. going to get you off the show
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Dave Jent, Indiana University and Aaron Neal, Indiana University | SuperComputing 22
(upbeat music) >> Welcome back. We're here at Supercomputing 22 in Dallas. My name's Paul Gill, I'm your host. With me, Dave Nicholson, my co-host. And one thing that struck me about this conference arriving here, was the number of universities that are exhibiting here. I mean, big, big exhibits from universities. Never seen that at a conference before. And one of those universities is Indiana University. Our two guests, Dave Jent, who's the AVP of Networks at Indiana University, Aaron Neal, Deputy CIO at Indiana University. Welcome, thanks for joining us. >> Thank you for having us. >> Thank you. >> I've always thought that the CIO job at a university has got to be the toughest CIO job there is, because you're managing this sprawling network, people are doing all kinds of different things on it. You've got to secure it. You've got to make it performant. And it just seems to be a big challenge. Talk about the network at Indiana University and what you have done particularly since the pandemic, how that has affected the architecture of your network. And what you do to maintain the levels of performance and security that you need. >> On the network side one of the things we've done is, kept in close contact with what the incoming students are looking for. It's a different environment than it was then 10 years ago when a student would come, maybe they had a phone, maybe they had one laptop. Today they're coming with multiple phones, multiple laptops, gaming devices. And the expectation that they have to come on a campus and plug all that stuff in causes lots of problems for us, in managing just the security aspect of it, the capacity, the IP space required to manage six, seven devices per student when you have 35,000 students on campus, has always been a challenge. And keeping ahead of that knowing what students are going to come in with, has been interesting. During the pandemic the campus was closed for a bit of time. What we found was our biggest challenge was keeping up with the number of people who wanted to VPN to campus. We had to buy additional VPN licenses so they could do their work, authenticate to the network. We doubled, maybe even tripled our our VPN license count. And that has settled down now that we're back on campus. But again, they came back with a vengeance. More gaming devices, more things to be connected, and into an environment that was a couple years old, that we hadn't done much with. We had gone through a pretty good size network deployment of new hardware to try to get ready for them. And it's worked well, but it's always challenging to keep up with students. >> Aaron, I want to ask you about security because that really is one of your key areas of focus. And you're collaborating with counties, local municipalities, as well as other educational institutions. How's your security strategy evolving in light of some of the vulnerabilities of VPNs that became obvious during the pandemic, and this kind of perfusion of new devices that that Dave was talking about? >> Yeah, so one of the things that we we did several years ago was establish what we call OmniSOC, which is a shared security operations center in collaboration with other institutions as well as research centers across the United States and in Indiana. And really what that is, is we took the lessons that we've learned and the capabilities that we've had within the institution and looked to partner with those key institutions to bring that data in-house, utilize our staff such that we can look for security threats and share that information across the the other institutions so that we can give each of those areas a heads up and work with those institutions to address any kind of vulnerabilities that might be out there. One of the other things that you mentioned is, we're partnering with Purdue in the Indiana Office of Technology on a grant to actually work with municipalities, county governments, to really assess their posture as it relates to security in those areas. It's a great opportunity for us to work together as institutions as well as work with the state in general to increase our posture as it relates to security. >> Dave, what brings IU to Supercomputing 2022? >> We've been here for a long time. And I think one of the things that we're always interested in is, what's next? What's new? There's so many, there's network vendors, software vendors, hardware vendors, high performance computing suppliers. What is out there that we're interested in? IU runs a large Cray system in Indiana called Big Red 200. And with any system you procure it, you get it running, you operate it, and your next goal is to upgrade it. And what's out there that we might be interested? That I think why we come to IU. We also like to showcase what we do at IU. If you come by the booth you'll see the OmniSOC, there's some video on that. The GlobalNOC, which I manage, which supports a lot of the RNE institutions in the country. We talk about that. Being able to have a place for people to come and see us. If you stand by the booth long enough people come and find you, and want to talk about a project they have, or a collaboration they'd like to partner with. We had a guy come by a while ago wanting a job. Those are all good things having a big booth can do for you. >> Well, so on that subject, in each of your areas of expertise and your purview are you kind of interleaved with the academic side of things on campus? Do you include students? I mean, I would think it would be a great source of cheap labor for you at least. Or is there kind of a wall between what you guys are responsible for and what students? >> Absolutely we try to support faculty and students as much as we can. And just to go back a little bit on the OmniSOC discussion. One of the things that we provide is internships for each of the universities that we work with. They have to sponsor at least three students every year and make that financial commitment. We bring them on site for three weeks. They learn us alongside the other analysts, information security analysts and work in a real world environment and gain those skills to be able to go back to their institutions and do an additional work there. So it's a great program for us to work with students. I think the other thing that we do is we provide obviously the infrastructure that enable our faculty members to do the research that they need to do. Whether that's through Big Red 200, our Supercomputer or just kind of the everyday infrastructure that allows them to do what they need to do. We have an environment on premise called our Intelligent Infrastructure, that we provide managed access to hardware and storage resources in a way that we know it's secure and they can utilize that environment to do virtually anything that they need in a server environment. >> Dave, I want to get back to the GigaPOP, which you mentioned earlier you're the managing director of the Indiana GigaPOP. What exactly is it? >> Well, the GigaPOP and there are a number of GigaPOP around the country. It was really the aggregation facility for Indiana and all of the universities in Indiana to connect to outside resources. GigaPOP has connections to internet too, the commodity internet, Esnet, the Big Ten or the BTAA a network in Chicago. It's a way for all universities in Indiana to connect to a single source to allow them to connect nationally to research organizations. >> And what are the benefits of having this collaboration of university. >> If you could think of a researcher at Indiana wants to do something with a researcher in Wisconsin, they both connect to their research networks in Wisconsin and Indiana, and they have essentially direct connection. There's no commodity internet, there's no throttling of of capacity. Both networks and the interconnects because we use internet too, are essentially UNT throttled access for the researchers to do anything they need to do. It's secure, it's fast, easy to use, in fact, so easy they don't even know that they're using it. It just we manage the networks and organize the networks in a way configure them that's the path of least resistance and that's the path traffic will take. And that's nationally. There are lots of these that are interconnected in various ways. I do want to get back to the labor point, just for a moment. (laughs) Because... >> You're here to claim you're not violating any labor laws. Is that what you're going to be? >> I'm here to hopefully hire, get more people to be interested to coming to IU. >> Stop by the booth. >> It's a great place to work. >> Exactly. >> We hire lots of interns and in the network space hiring really experienced network engineers, really hard to do, hard to attract people. And these days when you can work from anywhere, you don't have to be any place to work for anybody. We try to attract as many students as we can. And really we're exposing 'em to an environment that exists in very few places. Tens of thousands of wireless access points, big fast networks, interconnections and national international networks. We support the Noah network which supports satellite systems and secure traffic. It really is a very unique experience and you can come to IU, spend lots of years there and never see the same thing twice. We think we have an environment that's really a good way for people to come out of college, graduate school, work for some number of years and hopefully stay at IU, but if not, leave and get a good job and talk well about IU. In fact, the wireless network today here at SC was installed and is managed by a person who manages our campus network wireless, James Dickerson. That's the kind of opportunity we can provide people at IU. >> Aaron, I'd like to ask, you hear a lot about everything moving to the cloud these days, but in the HPC world I don't think that move is happening as quickly as it is in some areas. In fact, there's a good argument some workloads should never move to the cloud. You're having to balance these decisions. Where are you on the thinking of what belongs in the data center and what belongs in the cloud? >> I think our approach has really been specific to what the needs are. As an institution, we've not pushed all our chips in on the cloud, whether it be for high performance computing or otherwise. It's really looking at what the specific need is and addressing it with the proper solution. We made an investment several years ago in a data center internally, and we're leveraging that through the intelligent infrastructure that I spoke about. But really it's addressing what the specific need is and finding the specific solution, rather than going all in in one direction or another. I dunno if Jet Stream is something that you would like to bring up as well. >> By having our own data center and having our own facilities we're able to compete for NSF grants and work on projects that provide shared resources for the research community. Just dream is a project that does that. Without a data center and without the ability to work on large projects, we don't have any of that. If you don't have that then you're dependent on someone else. We like to say that, what we are proud of is the people come to IU and ask us if they can partner on our projects. Without a data center and those resources we are the ones who have to go out and say can we partner on your project? We'd like to be the leaders of that in that space. >> I wanted to kind of double click on something you mentioned. Couple of things. Historically IU has been I'm sure closely associated with Chicago. You think of what are students thinking of doing when they graduate? Maybe they're going to go home, but the sort of center of gravity it's like Chicago. You mentioned talking about, especially post pandemic, the idea that you can live anywhere. Not everybody wants to live in Manhattan or Santa Clara. And of course, technology over decades has given us the ability to do things remotely and IU is plugged into the globe, doesn't matter where you are. But have you seen either during or post pandemic 'cause we're really in the early stages of this. Are you seeing that? Are you seeing people say, Hey, thinking about their family, where do I want to live? Where do I want to raise my family? I'm in academia and no, I don't want to live in Manhattan. Hey, we can go to IU and we're plugged into the globe. And then students in California we see this, there's some schools on the central coast where people loved living there when they were in college but there was no economic opportunity there. Are you seeing a shift, are basically houses in Bloomington becoming unaffordable because people are saying, you know what, I'm going to stay here. What does that look like? >> I mean, for our group there are a lot of people who do work from home, have chosen to stay in Bloomington. We have had some people who for various reasons want to leave. We want to retain them, so we allow them to work remotely. And that has turned into a tool for recruiting. The kid that graduates from Caltech. Doesn't want to stay in Caltech in California, we have an opportunity now he can move to wherever between here and there and we can hire him do work. We love to have people come to Indiana. We think it is a unique experience, Bloomington, Indianapolis are great places. But I think the reality is, we're not going to get everybody to come live, be a Hoosier, how do we get them to come and work at IU? In some ways disappointing when we don't have buildings full of people, but 40 paying Zoom or teams window, not kind the same thing. But I think this is what we're going to have to figure out, how do we make this kind of environment work. >> Last question here, give you a chance to put in a plug for Indiana University. For those those data scientists those researchers who may be open to working somewhere else, why would they come to Indiana University? What's different about what you do from what every other academic institution does, Aaron? >> Yeah, I think a lot of what we just talked about today in terms of from a network's perspective, that were plugged in globally. I think if you look beyond the networks I think there are tremendous opportunities for folks to come to Bloomington and experience some bleeding edge technology and to work with some very talented people. I've been amazed, I've been at IU for 20 years and as I look at our peers across higher ed, well, I don't want to say they're not doing as well I do want brag at how well we're doing in terms of organizationally addressing things like security in a centralized way that really puts us in a better position. We're just doing a lot of things that I think some of our peers are catching up to and have been catching up to over the last 10, 12 years. >> And I think to sure scale of IU goes unnoticed at times. IU has the largest medical school in the country. One of the largest nursing schools in the country. And people just kind of overlook some of that. Maybe we need to do a better job of talking about it. But for those who are aware there are a lot of opportunities in life sciences, healthcare, the social sciences. IU has the largest logistics program in the world. We teach more languages than anybody else in the world. The varying kinds of things you can get involved with at IU including networks, I think pretty unparalleled. >> Well, making the case for high performance computing in the Hoosier State. Aaron, Dave, thanks very much for joining you making a great case. >> Thank you. >> Thank you. >> We'll be back right after this short message. This is theCUBE. (upbeat music)
SUMMARY :
that are exhibiting here. and security that you need. of the things we've done is, in light of some of the and looked to partner with We also like to showcase what we do at IU. of cheap labor for you at least. that they need to do. of the Indiana GigaPOP. and all of the universities in Indiana And what are the benefits and that's the path traffic will take. You're here to claim you're get more people to be and in the network space but in the HPC world I and finding the specific solution, the people come to IU and IU is plugged into the globe, We love to have people come to Indiana. open to working somewhere else, and to work with some And I think to sure scale in the Hoosier State. This is theCUBE.
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Stephanie Cox & Matthew Link, University of Indiana | Citrix Synergy 2019
>> live from Atlanta, Georgia. It's the two you covering. Citric Synergy. Atlanta 2019. Brought to You by Citrix >> Welcome back to the Cubes. Continuing coverage of Citrix Energy, 2019 from Atlanta, Georgia. I'm Lisa Martin. My co host for the event is Keith Townsend and Keith and I are excited to talk. Teo, one of the Citrix Innovation Award nominees, Indiana University, with a couple of folks from Indiana University joining us. Stephanie Cox, manager, a Virtual Platform Services and Mat Link, associate vice president of research Technologies Guys, thanks so much for joining Keith and me, Thank you. And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim in hand there CMO yesterday, saying there was over a thousands nomination. So to even get down to being in the top three is pretty exciting stuff. Talk to us a little bit about Indiana University. Us. This is a a big, big organization. Lots of folks accessing the network through lots of devices. Matt, let's start with you. Give us that picture of what's going on there. Yes, so I >> u is about 130,000 students across seven campuses. We've got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is were consolidated shop. So there are 1,200 of us and I you that support the entire university and all the campuses and anyone point in time, there could be 200,000 devices touching the network and using those services. >> That's a Big 70 talk. Talk to us about your virtual a footprint. How How big is the location? Data centers? What's the footprint? >> Well, we have two data centers. One of them is in Indianapolis, which is my home. It's one of our larger campus is calling Indiana University Purdue University affectionately, I U P y. There is a data center there, but our large danna center is at the flagship campus, which is in Bloomington, Indiana, >> and to support 100,000 plus people and to hundreds of any given the 2nd 200,000 devices. How have you designed that virtual infrastructure to enable access to students, faculty, etcetera and employees. >> So from the network perspective, we have several network master plans that have rolled, and we're in our 2nd 10 year next network master plan, and the network master plan is designed to continually upgrade the network. Both the physical network, the infrastructure and the wireless network in our last 10 year budget, for that was around $170,000,000 of investment just to support the network infrastructure. And then Stephanie rides on top of that as the virtual platform with Citrix to deliver the images anywhere on campus. Whether it's wirelessly or whether it's connected via network connection >> kill seven campuses is already a bit. If you ever look at a map, Indiana sits Christ map damp in the middle of the country. It's a big space. Right before we hit record, we were just talking about that. Drive off I 65 from Indianapolis to Chicago is just a lot of rules area, and I'm sure part of your mission is to make sure technology and education is the sensible thing. Everyone in Indiana talk to us about the challenges of getting connective ity and getting material virtual classrooms to those remote areas. >> Yeah, it's really one of the major strengths of our partnership with Citrix. They are really at the premiere Remote solution connectivity offering at Indiana University. So we built our citrix environment. Teo encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff and students to use the service. Do they all show up at the same time? No, thank goodness. But we do offer it to everyone, which is I found in the education. You're in a very unique tin Indiana University. Another another thing to have consolidated I t. And then to be able to offer a service like ours to everyone and not just restricted to specific pockets of the university. With that, we've been able to them extend offering of any application or something that you might need for a class to any of our other remote location. So if you're a student who is working in or go, you know, lives in rule Indiana and you want Teo get in Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We I have a very nice of online program, just a lot of other options that that we've really tried Teo offer for remote access. >> So Citrix has really enabled this. I think you call it the eye. You anywhere. Indiana University anywhere Program. Tell us about opening up this access to everyone over the time that you've been ascetics Customer, how many more people can you estimate have access now, that didn't hurt not too long ago. >> Yeah, I think initially, and Matt was probably no more before me before I Even before I even came on the scene, I believe that the original youth case was really just trying. Teo, extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right? So just your small, like the old days you would goto your college campus and you go into your computer lab with it. We just really wanted Teo the virtual Isar expand the access to just those specific types of APS and computers. And that was an early design. Since then, over the years, we've really kind of, you know, just really expanded. Really. We used the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So now not only do we service those students who would who would normally come onto the campus just to use your traditional computer lab. Wait do a lot, especially programs for other schools. Like we, we deliver a virtual desktop for our dentistry. Students may actually use that whole platform in the dental clinic to see real patients are third tier. Third year doctors do that way. Also replicated that same thing and do it in our speech and hearing sciences for our future audiologist. We have certain professors that have wanted to take a particular course that they're teaching and extended to different pockets all over the world. So we might host a class from Budapest or Africa somewhere else. You know, wherever that faculty and staff has three sources that they know they need to get to in their content already virtualized. We worked to make that happen all the time. >> That's a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses. Now you get your giving 130,000 plus individuals anywhere, anytime. Access that is the ex multiplier on that is massive, but you're also gone global It's not just online, it's you're able to enable professors to teach in other parts of the world where it was before. It was just people that were in Indiana, but master and and >> you're just limited by the network. So that's the only draw back. When you go to the rule areas way out, you're just limited by the network. You know, the initial program was really you really thought of as a cost saving measure way we're goingto put thin clients out. We wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive, you know, 10 years ago, and now the way that we look at it is I you wants to provide services across the breath of the organization and make those services at no additional cost and open to everybody open access to everybody. The desktop, for example, is one of you know Stephanie is, is the brainchild behind the desktop, took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that because that was part of the video and that captured my intention immediately. What is 80 accessibility, technology, accessibility technology is inaccessible to get that. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. >> So one of the things then I think it's just a wonderful thing about working at a university. We're able to buy software licenses in a big quantity, large quantity, right? Because we have that kind of buying power software that I normally never would see or get access to, even in my private sector. Administer tricks engineer for a long time. But when you come to a university and then you're selling or you're getting licenses for 50 60 70 80,000 you get to see some of these products that you don't normally as a regular consumer. You'd like it, but you know you can't really afford it. So with that, when we started looking at all of the different applications that they could buy in a large quantity site licence, you know, the way we thought, Oh my goodness, let's virtualized these and make sure everybody gets access to them and the ones that were really attractive to us, where the ones for the visually impaired, sure they're in niche and They're very, very expensive, but we but let's just try it. We'll see how well they perform in a virtual environment. And with that, our Citrix infrastructure underneath they performed quite well. Plus, the apse have evolved a great deal over just the last four years. So we're really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really fast, and so we had to make sure that we kept our platform while we're working on it to keep it sped an updated so that it's usable to them right since functional to me. But they really need it to be like, 10 times faster. I found that out after even shooting the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to you? But yeah, it's, uh, it's been an honor, really, Teo to be up for that award. But tow work with those students to learn more about their needs to learn more about the city different applications that people write for people with old disabilities. I hope we can do more in that space. >> So the young man in it and why I don't remember his name. >> Priscilla, Bela, Chris. So >> share just quickly about Chris's story. >> Yeah, and he watches the Cube. I hope he's listening because I >> think I think this whole >> kind of >> really put a little bit icing on the cake because you're taking an environment and urine empowering a student to do what they want to do versus what they are able or not able to do. So Christmas story is pretty cool of where he wants to go with his college career. >> Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. He's like, way beyond everything We're learning from him. But he is Indiana University's believe. I'm saying this right, very first biomedical chemical engineer who is blind and fourth completely blind, Yes, wow and is quite a brilliant young man, and we were lucky to have him be r. He will test anything for me and and Mary Stores, who was featured in the video Chris Meyer. And he's also featured in the video. Gonna remember their names? I mean, it's a hole. I'm lucky to have a whole community of people that will Yeah, they know where we want to be there for them. We don't always get it right. What? We're gonna listen and keep trying to move forward. So >> But if you kind of think of even what a year or two ago not being able to give any of this virtualized desktop access to this visually impaired and how many people are now using it? >> Um, well, we open it up to everyone. We have hundreds and hundreds of users, but we know not everyone who uses it is blind. People like you can use it if you want it or not way. Don't really understand why some people prefer to use that one over there. The other But it does have some advantages. I mean, there there are different levels of sight impairment, too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their site. So we if if that happens to be, you know, someone that we can extend our environment to. It's probably better t use it now and get really familiar with that issue. Transition to losing your sight later in life. I've been told so >> So you ask a little bit about the scope of of the desktop, so I'll layer on a little bit of the scope of eye you anywhere. Last year, around 65,000 individual unique users over well over 1,000,000 Loggins and 8,000,000 and the average session time was around 41 minutes. That's so our instructors teach with it. Are clinicians treat people with it? We've built it in two. How's Elektronik protected health data? Er hit. The client's gonna be critical, writes the hip a standard because you can't say compliance anymore because you can't be compliant with a standard change. That wording several times way are very familiar with meeting hip. A standard we've been doing that for about 12 years now with where I came from was the high performance computing area of the university. So that's my background, and I >> so one thing we didn't get a chance to talk, uh, touch 12 100,000 devices were a citrus citrus is a Microsoft partner. Typically, when those companies think of 200,000 users, they think for profit. There's, you know, this is a niche use case for 200,000 users. Obviously, you guys have gotten some great pricing as part of being a educational environment. What I love to hear is kind of the research stories, because the ability to shrink the world, so to speak, you know, hi HPC you're giving access to specialized equipment to people who can't get their normally. You know, you don't have to be physically in front of GPU CPUC century. What other cool things have been coming out of the research side of the house because of the situation able? >> So this is cool. I mean, >> I get it. So >> So one of our group's research software solutions stole the idea from Stephanie to provide a research desktop. Barr >> imitation. Highest form of flattery, Stephanie. Absolutely. So what we've >> done is is is we always continually to try to reduce the barriers of entry and access? Uh, you know, supercomputing. Before you had to be this tall to ride this ride. Well, now we're down to here and with the hopes that will get down even farther. So what we've done is we've taken virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be and have access to HPC. Untie you and that's all the systems. So we have four super computers and we have 40 petabytes of spinning disc ah, 160 petabytes of archival tape library. So we're we're a large shop and, you know, we couldn't have done it without looking at what Stephanie has done and and really looking in that model differently. Right? Because to use HPC before, you'd have to use a terminal and shell in and now, looking at you anywhere that gives you just the different opportunity to catch a different and more broad customer base. And I call on customers because we try to treat him as customers and and helps the diversity of what you're doing. So last year alone, our group research technologies supported a 151 different departments way were on 937 different grants, and we support over 330 different disciplines. Uh, it I you and so it's It's deep, but it's also very broad. First, larger campus we are. And as a large organization as we are, you know, we're fairly nimble. Even a 1,200 people. >> Wow! From what I've heard, it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next. All that you have accomplished. Stephanie. Matt, thank you so much for joining Key to me. We wish you the best of luck and good a citric scott dot com Search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck will be waiting with bated breath tomorrow to see who wins. >> So thank you very much. Thank you. Thank you. Keep >> our pleasure for Keith Townsend. I'm Lisa Martin. You're watching the Cube live from Citrix. Synergy 2019. Thanks for watching
SUMMARY :
It's the two you covering. So to even get down to being in the top three So there are 1,200 of us and I you that support Talk to us about your virtual a footprint. at the flagship campus, which is in Bloomington, Indiana, and to support 100,000 plus people and to So from the network perspective, we have several network master Everyone in Indiana talk to us about the challenges of getting connective of any application or something that you might need for a class to any of I think you call it the eye. sources that they know they need to get to in their content already virtualized. That's a lot of what you just said is first of all, initially, So that's the only draw back. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to So Yeah, and he watches the Cube. really put a little bit icing on the cake because you're taking an environment Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. you know, someone that we can extend our environment to. so I'll layer on a little bit of the scope of eye you anywhere. the world, so to speak, you know, hi HPC you're giving access to So this is cool. So the idea from Stephanie to provide a research desktop. So what we've that gives you just the different opportunity to catch a different and more broad customer We wish you the very best of luck will be So thank you very much. our pleasure for Keith Townsend.
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Stephanie Cox & Matthew Link, Indiana University | Citrix Synergy 2019
>> Live from Atlanta, Georgia. It's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Welcome back to theCUBE's continuing coverage of Citrix Synergy 2019 from Atlanta, Georgia. I'm Lisa Martin, my co-host for the event is Keith Townsend and Keith and I are excited to talk to one of the Citrix Innovation Award nominees, Indiana University. We have a couple of folks from Indiana University joining us, Stephanie Cox, Manager of Virtual Platform Services and Matt Link, Associate Vice President of Research Technologies. Guys, thanks so much for joining Keith and me. >> Thank you Lisa. >> Thank you. >> And thank you Keith. >> It's an honor to be here, yeah. >> And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim Minahan, their CMO yesterday saying there was over a thousand nominations, so to even get down to being in the top three is pretty exciting stuff. >> Yeah. >> Awesome. >> So talk to us a little bit about Indiana University. You guys, this is a big, big big organization lots of folks accessing the network through lots of devices. Matt, let's start with you, give us that picture of what's going on there. >> Yeah, so IU is about 130,000 students across seven campuses. We got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is, we're a consolidated IT shop. So, there are 1200 of us at IU that support the entire university and all the campuses. And at any one point in time, there could be 200,000 devices touching the network and using those services. >> Big, that's big. >> Big. >> Wow, that is big. Stephanie talk, talk to us about your virtual imp, footprint and how big is the location. How many data centers? What's the footprint? >> Well we have two data centers, one of them is in Indianapolis which is my home. It's one of our larger campuses, we call it Indiana University Purdue University, affectionately IUPUI. There is a data center there but our larger data center is at the flagship campus which is in, Bloomington, Indiana. >> And, to support 100,000 plus people and, you said at any given second, 200,000 devices. How have you designed that Virtual Integral Structure to enable access to students, faculty, et cetera and employees? >> So from the network perspective we have several network master plans that have rolled and we're in our second 10 year network master plan. And, the network master plan is designed to continually upgrade the network, both the physical network, the infrastructure, and the wireless network. In our last 10 year budget for that was around $170 million of investment just to support the network infrastructure. And then, Stephanie rides on top of that as the Virtual Platform with Citrix to deliver the images anywhere on campus, whether it's wirelessly or whether it's connected via network connection. >> Yep. >> So seven campuses is already a bit. If you ever look at a map, Indiana sits right smack dab in the middle of the country. It's a big space, right before we hit record, we were just talking about that drive up I-65 from Indianapolis to Chicago is just, a lot of rural area and, I'm sure part of your mission is to make sure technology and education is accessible to everyone in Indiana. Talk to us about the challenges of getting connectivity and getting material, virtual classrooms to those remote areas. >> Yeah, that's really one of the major strengths of our partnership with Citrix. They are really the premier remote solution connectivity offering at Indiana University. So, we built our Citrix environment to encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff, and students to use the service. Now do they all show up at the same time? No, thank goodness. >> Thankfully. >> But we do offer it to everyone which is, I found, in the education arena, very unique to Indiana University. Another thing to have the consolidated IT and then to be able to offer a service like ours to everyone and not just restrict it to separate pockets of the university. With that, we've been able to then extend, offering of any application or something that you might need for a class to any of our other remote locations. So, if you're a student who is working in or lives in rural Indiana and you want to get an Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We have a very nice online program and just a lot of other options that we've really tried to offer for remote access. >> So Citrix has really enabled this, I think you call it the IUanyWare, Indiana University Anywhere Program. >> Yeah. >> Tell us about opening up this access to everyone over the time that you've been a Citrix customer how many more people can you guesstimate have access now that didn't not too long ago? >> Yeah, I think initially, and Matt would probably know more before me, before I even came on the scene, I believe that the original use case was really just trying to extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right, so just your small, like the old days when you would go to your college campus and you go into your computer lab, we just really wanted to virtualize, or expand, the access to just those specific types of apps and computers. And that was an early design, since then over the years we've really kind of, just really expanded. Really use the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So, now not only do we service those students who would normally come onto the campus just to use your traditional computer lab, we do a lot of specialty programs for other schools. Like we deliver a virtual desktop for our dentistry students, they actually use that whole platform in the dental clinic to see real patients our, third tier, third year doctors do that. We also replicated that same thing and do it in our speech and hearing sciences for our future audiologists. We have certain professors that have wanted to take the particular course that they're teaching and extend it to different pockets all over the world so we might host a class from Budapest or Africa somewhere else, wherever that faculty and staff has resources that they know they need to get to and their content already virtualized. We work to make that happen all the time. >> That's, a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses, now you're giving 130,000 plus individuals anywhere, anytime access. That is, the X multiplier on that is massive. But you're also gone global, it's not just online, you're able to enable professors to teach in other parts of the world, where it was before it was just people that were in Indiana. >> Right. >> That's massive. >> And you're just limited by the network. So that's the only drawback when you go to the rural areas way out, you're just limited by the network. The initial program was really, really thought of as a cost saving measure. We were going to put thin clients out, we wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive 10 years ago, and now the way that we look at it is IU wants to provide services across the breadth of the organization, and make those services at no additional cost. And open to everybody. Open access to everybody, the AT desktop, for example is one of, Stephanie is, the brainchild behind the AT desktop. Took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that, because that was part of the video and that captured my attention immediately. What is AT? >> Accessibility. >> Technology. >> Technology. >> Accessibility Technology. >> Accessible, is it Accessible Technology? >> Accessible Technology. >> Yeah, I always get that wrong. (laughs) >> So, hundreds, thousands, and not just those that are sight and hearing. >> Right. >> Yeah, so one of the things that I think was, it's just a wonderful thing about working at a university, we're able to buy software licenses in a big quantity, large quantity right, because we have that kind of buying power. Software that I normally never would see or get access to even in my private sector, I've been a Citrix engineer for a long time, but when you come to a university and then you're selling or you're getting licenses for 50, 60, 70, 80,000, you get to see some of these products that you don't normally, as a regular consumer, (laughs) you like it but you know you can't really afford it. So, with that when we started looking at all of the different applications that they could buy in a large quantity site license way we thought oh my goodness, let's virtualize these and make sure everybody gets access to them. And the ones that were really attractive to us were the ones for the visually impaired. Sure they're a niche and they're very, very expensive but we thought let's just try it. We'll see how well they perform in a virtual environment and with our Citrix infrastructure underneath they performed quite well, plus the apps have evolved a great deal over just the last four years. So, we were really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really, fast and so we had to make sure that we kept our platformer working on it, to keep it sped and updated so that it's usable to them, right. Seems functional to me, but they, it really needed to be like, 10 times faster. After I found that out, after even shooting the award video and spending even more time with them I thought, why did you guys tell me it was slow to you? But yeah it's been an honor, really, to be up for that award but to work with those students, to learn more about their needs, to learn more about the different applications that people write for people with all disabilities. I hope we can do more in that space. >> So the young man, in, at IUPUI. >> Yes. >> I don't remember his name. >> Chris Lavilla. >> Chris. >> Yes. >> So share, just quickly about Chris' story. >> If, he watches theCUBE I hope he's listening 'cause I think he's kind of remarkable. >> I think this'll really put some, a little bit of icing on that cake because you're taking an environment and you're empowering a student to do what they want to do, versus what they are able or not able to do, so Chris' story is pretty cool of where he wants to go with his college career. >> Yeah, now I won't say he a big proponent user of the virtual desktop because he's just so advanced, he's like way beyond everything. We're learning from him, but he is Indiana University's I believe I'm saying this right, very first biomedical chemical engineer who is blind since birth, completely blind, yes. >> Wow. >> He is, and he's quite a brilliant young man and we're lucky to have him be our, he will test anything for me, and Mary Stores, who's featured in the video Chris Mire, he's also featured in the video I got to remember their names, I mean, it's a whole, I'm lucky to have a whole community of people that will. Yeah, they know, we want to be there for them, we don't always get it right, but we're going to listen and keep trying to move forward, so. >> But, if you kind of think of, even a what, a year or two ago, not being able to give any of this virtualized desktop access to the visually impaired and how many people are now using it? >> Well we open it up to everyone. We have hundreds and hundreds of users but we know not everyone who uses it is blind. People can, you can use it if you want it or not. We don't really understand why some people prefer to use that one over any other but it does have some advantages, there are different levels of sight impairment too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their sight so, if that happens to be someone that we can extend our environment to it's probably better to use it now and get really familiar with that as you transition to losing your sight later in life, I've been told so. >> So you asked a little bit about the scope of the AT desktop, so I'll layer on a little bit of the scope of IUanyWare. Last year around 65,000 individual unique users over, well over a million logins and-- >> 1.4 million. >> 1.4 million. And the average session time was around 41 minutes. >> That's long. >> So. >> Yeah. >> Our instructors teach with it, our clinicians treat people with it, we've built it to house electronic protected health data. >> So HIPA compliance, got to be critical, right? >> It meets the HIPA standard. >> Right. >> Because you can't say compliance anymore because you can't be compliant with a standard. (Stephanie laughing) They've changed that wording several times in the course of the year. >> We know this. >> So, and we are very familiar with meeting the HIPA standard, we've been doing that for about 12 years now, with, where I came from was the high performance computing area of the university so that's my background that I. >> So, one thing we didn't get a chance touch on, 200,000 devices. We're at Citrix, Citrix is a Microsoft partner. Typically when those companies think of 200,000 users they think for profit, this is a niche use case for 200,000 users. Obviously you guys have gotten some great pricing as part of being an education environment. What I would love to hear is, kind of the research stories because the ability to shrink the world, so to speak high HPC, you're giving access to specialized equipment to people who can't get there normally, you have to be physically in front of GPUs, CPUs, et cetera. What other cool things have been coming out of the research side of the house because of the Citrix enablement? >> So, this is cool I mean. >> You got to, got to. (laughs) >> Right, so one of our groups, Researched Software and Solutions stole the idea from Stephanie to provide a research desktop. >> Borrowed. >> Borrowed. >> Imitation, highest form of flattery, Stephanie. >> That's right, absolutely. So what we've done is we always continually to try to reduce the barriers of entry and access. Supercomputing before, you had to be this tall to ride this ride, well now we're down to here. And, with the hopes that we'll go down even farther. So what we've done is we've taken a virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be, and have access to HPC at IU. And that's all the systems, so we have four supercomputers And we have 40 petabytes of spinning disc, 160 petabytes of archival tape library so, we're a large shop. And, we couldn't have done it without looking at what Stephanie has done and really looking at that model differently, right? Because to use HPC before you'd have to use a terminal and shell in. And now, looking at IUanyWare, that gives you just the different opportunity to catch a different and more broad customer base. And I call them customers because we try treat them as customers >> Right. >> And it helps the diversity of what you're doing so last year alone our group, Research Technologies supported 151 different departments. We were on 937 different grants. And we support over 330 different disciplines at IU and so it's deep, but it's also very broad, for as large a campus we are and as large an organization as we are, we're fairly nimble even at 1200 people. >> Wow, from what I've heard it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next with all that you have accomplished. Stephanie, Matt, thank you so much for joining Keith and me, we wish you the best of luck. You can go to Citrix.com, search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck. We'll be waiting with bated breath tomorrow to see who wins. >> So will we, thank you very much. >> Thank you. >> Thank you Lisa. Thank you Keith. >> Our pleasure. For Keith Townsend, I'm Lisa Martin. You're watching theCUBE live from Citrix Synergy 2019. Thanks for watching. (upbeat techno music)
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Brought to you by Citrix. and Keith and I are excited to talk to one of the Citrix a thousand nominations, so to even get down to being So talk to us a little bit about Indiana University. One of the things that makes us a little unique is, Stephanie talk, talk to us about your virtual imp, but our larger data center is at the flagship campus And, to support 100,000 plus people and, So from the network perspective we have Talk to us about the challenges of getting 130,000 faculty, staff, and students to use the service. and then to be able to offer a service like ours to everyone I think you call it the IUanyWare, in the dental clinic to see real patients our, third tier, That's, a lot of what you just said is and now the way that we look at it is Talk to us more about that, Yeah, I always get that wrong. that are sight and hearing. After I found that out, after even shooting the award I think he's kind of remarkable. to do what they want to do, versus what they are able of the virtual desktop because he's just so advanced, I got to remember their names, I mean, it's a whole, if that happens to be someone a little bit of the scope of IUanyWare. And the average session time was around 41 minutes. to house electronic protected health data. in the course of the year. So, and we are very familiar with meeting because the ability to shrink the world, so to speak You got to, got to. to provide a research desktop. just the different opportunity to catch a different And it helps the diversity of what you're doing we wish you the best of luck. Thank you Lisa. Thanks for watching.
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Keynote Enabling Business and Developer Success | Open Cloud Innovations
(upbeat music) >> Hello, and welcome to this startup showcase. It's great to be here and talk about some of the innovations we are doing at AWS, how we work with our partner community, especially our open source partners. My name is Deepak Singh. I run our compute services organization, which is a very vague way of saying that I run a number of things that are connected together through compute. Very specifically, I run a container services organization. So for those of you who are into containers, ECS, EKS, fargate, ECR, App Runner Those are all teams that are within my org. I also run the Amazon Linux and BottleRocketing. So anything AWS does with Linux, both externally and internally, as well as our high-performance computing team. And perhaps very relevant to this discussion, I run the Amazon open source program office. Serving at AWS for over 13 years, almost 14, involved with compute in various ways, including EC2. What that has done has given me a vantage point of seeing how our customers use the services that we build for them, how they leverage various partner solutions, and along the way, how AWS itself has gotten involved with opensource. And I'll try and talk to you about some of those factors and how they impact, how you consume our services. So why don't we get started? So for many of you, you know, one of the things, there's two ways to look at AWS and open-source and Amazon in general. One is the number of contributors you may have. And the number of repositories that contribute to. Those are just a couple of measures. There are people that I work with on a regular basis, who will remind you that, those are not perfect measures. Sometimes you could just contribute to one thing and have outsized impact because of the nature of that thing. But it address being what it is, increasingly we'll look at different ways in which we can help contribute and enhance open source 'cause we consume a lot of it as well. I'll talk about it very specifically from the space that I work in the container space in particular, where we've worked a lot with people in the Kubernetes community. We've worked a lot with people in the broader CNCF community, as well as, you know, small projects that our customers might have got started off with. For example, I want to like talking about is Argo CD from Intuit. We were very actively involved with helping them figure out what to do with it. And it was great to see how into it. And we worked, etc, came together to think about get-ups at the Kubernetes level. And while those are their projects, we've always been involved with them. So we try and figure out what's important to our customers, how we can help and then take because of that. Well, let's talk about a little bit more, here's some examples of the kinds of open source projects that Amazon and AWS contribute to. They arranged from the open JDK. I think we even now have our own implementation of Java, the Corretto open source project. We contribute to projects like rust, where we are very active in the rest foundation from a leadership role as well, the robot operating system, just to pick some, we collaborate with Facebook and actively involved with the pirates project. And there's many others. You can see all the logos in here where we participate either because they're important to us as AWS in the services that we run or they're important to our customers and the services that they consume or the open source projects they care about and how we get to those. How we get and make those decisions is often depends on the importance of that particular project. At that point in time, how much impact they're having to AWS customers, or sometimes very feel that us contributing to that project is super critical because it helps us build more robust services. I'll talk about it in a completely, you know, somewhat different basis. You may have heard of us talk about our new next generation of Amazon Linux 2022, which is based on fedora as its sub stream. One of the reasons we made this decision was it allows us to go and participate in the preneurial project and make sure that the upstream project is robust, stays robust. And that, that what that ends up being is that Amazon Linux 2022 will be a robust operating system with the kinds of capabilities that our customers are asking for. That's just one example of how we think about it. So for example, you know, the Python software foundation is something that we work with very closely because so many of our customers use Python. So we help run something like PyPy which is many, you know, if you're a Python developer, I happened to be a Ruby one, but lots of our customers use Python and helping the Python project be robust by making sure PyPy is available to everybody is something that we help provide credits for help support in other ways. So it's not just code. It can mean many different ways of contributing as well, but in the end code and operations is where we hang our happens. Good examples of this is projects that we will create an open source because it makes sense to make sure that we open source some of the core primitives or foundations that are part of our own services. A great example of that, whether this be things that we open source or things that we contribute to. And I'll talk about both and I'll talk about things near and dear to my heart. There's many examples I've picked the two that I like talking about. The first of these is firecracker. Many of you have heard about it, a firecracker for those of you who don't know is a very lightweight virtual machine manager, which allows you to run these micro VMs. And why was this important many years ago when we started Lambda and quite honestly, Fugate and foggy, it still runs quite a bit in that mode, we used to have to run on VMs like everything else and finding the right VM for the size of tasks that somebody asks for the size of function that somebody asks for is requires us to provision capacity ahead of time. And it also wastes a lot of capacity because Lambda function is small. You won't even if you find the smallest VM possible, those can be a little that can be challenging. And you know, there's a lot of resources that are being wasted. VM start at a particular speed because they have to do a whole bunch of things before the operating system spins up and the virtual machine spins up and we asked ourselves, can we do better? come up with something that allows us to create right size, very lightweight, very fast booting. What's your machines, micro virtual machine that we ended up calling them. That's what led to firecracker. And we open source the project. And today firecrackers use, not just by AWS Lambda or foggy, but by a number of other folks, there's companies like fly IO that are using it. We know people using firecracker to run Kubernetes on prem on bare metal as an example. So we've seen a lot of other folks embrace it and use it as the foundation for building their own serverless services, their own container services. And we think there's a lot of value and learnings that we can bring to the table because we get the experience of operating at scale, but other people can bring to the table cause they may have specific requirements that we may not find it as important from an AWS perspective. So that's firecracker an example of a project where we contribute because we feel it's fundamentally important to us as continually. We were found, you know, we've been involved with continuity from the beginning. Today, we are a whole team that does nothing else, but contribute to container D because container D underlies foggy. It underlies our Kubernetes offerings. And it's increasingly being used by customers directly by their placement. You know, where they're running container D instead of running a full on Docker or similar container engine, what it has allowed us to do is focus on what's important so that we can operate continuously at scale, keep it robust and secure, add capabilities to it that AWS customers need manifested often through foggy Kubernetes, but in the end, it's a win-win for everybody. It makes continuously better. If you want to use containers for yourself on AWS, that's a great way to you. You know, you still, you still benefit from all the work that we're doing. The decision we took was since it's so important to us and our customers, we wanted a team that lived in breathed container D and made sure a super robust and there's many, many examples like that. No, that we ended up participating in, either by taking a project that exists or open sourcing our own. Here's an example of some of the open source projects that we have done from an AWS on Amazon perspective. And there's quite a few when I was looking at this list, I was quite surprised, not quite surprised I've seen the reports before, but every time I do, I have to recount and say, that's a lot more than one would have thought, even though I'd been looking at it for such a long time, examples of this in my world alone are things like, you know, what work had to do with Amazon Linux BottleRocket, which is a container host operating system. That's been open-sourced from day one. Firecracker is something we talked about. We have a project called AWS peril cluster, which allows you to spin up high performance computing clusters on AWS using the kind of schedulers you may use to use like slum. And that's an open source project. We have plenty of source projects in the web development space, in the security space. And more recently things like the open 3d engine, which is something that we are very excited about and that'd be open sourced a few months ago. And so there's a number of these projects that cover everything from tooling to developer, application frameworks, all the way to database and analytics and machine learning. And you'll notice that in a few areas, containers, as an example, machine learning as an example, our default is to go with open source option is where we can open source. And it makes sense for us to do so where we feel the product community might benefit from it. That's our default stance. The CNCF, the cloud native computing foundation is something that we've been involved with quite a bit. You know, we contribute to Kubernetes, be contribute to Envoy. I talked about continuity a bit. We've also contributed projects like CDK 8, which marries the AWS cloud development kit with Kubernetes. It's now a sandbox project in Kubernetes, and those are some of the areas. CNCF is such a wide surface area. We don't contribute to everything, but we definitely participate actively in CNCF with projects like HCB that are critical to eat for us. We are very, very active in just how the project evolves, but also try and see which of the projects that are important to our customers who are running Kubernetes maybe by themselves or some other project on AWS. Envoy is a good example. Kubernetes itself is a good example because in the end, we want to make sure that people running Kubernetes on AWS, even if they are not using our services are successful and we can help them, or we can work on the projects that are important to them. That's kind of how we think about the world. And it's worked pretty well for us. We've done a bunch of work on the Kubernetes side to make sure that we can integrate and solve a customer problem. We've, you know, from everything from models to work that we have done with gravity on our arm processor to a virtual GPU plugin that allows you to share and media GPU resources to the elastic fabric adapter, which are the network device for high performance computing that it can use at Kubernetes on AWS, along with things that directly impact Kubernetes customers like the CDKs project. I talked about work that we do with the container networking interface to the Amazon control of a Kubernetes, which is an open source project that allows you to use other AWS services directly from Kubernetes clusters. Again, you notice success, Kubernetes, not EKS, which is a managed Kubernetes service, because if we want you to be successful with Kubernetes and AWS, whether using our managed service or running your own, or some third party service. Similarly, we worked with premetheus. We now have a managed premetheus service. And at reinvent last year, we announced the general availability of this thing called carpenter, which is a provisioning and auto-scaling engine for Kubernetes, which is also an open source project. But here's the beauty of carpenter. You don't have to be using EKS to use it. Anyone running Kubernetes on AWS can leverage it. We focus on the AWS provider, but we've built it in such a way that if you wanted to take carpenter and implemented on prem or another cloud provider, that'd be completely okay. That's how it's designed and what we anticipated people may want to do. I talked a little bit about BottleRocket it's our Linux-based open-source operating system. And the thing that we have done with BottleRocket is make sure that we focus on security and the needs of customers who want to run orchestrated container, very focused on that problem. So for example, BottleRocket only has essential software needed to run containers, se Linux. I just notice it says that's the lineups, but I'm sure that, you know, Lena Torvalds will be pretty happy. And seeing that SE linux is enabled by default, we use things like DM Verity, and it has a read only root file system, no shell, you can assess it. You can install it if you wanted to. We allowed it to create different bill types, variants as we call them, you can create a variant for a non AWS resource as well. If you have your own homegrown container orchestrator, you can create a variant for that. It's designed to be used in many different contexts and all of that is open sourced. And then we use the update framework to publish and secure repository and kind of how this transactional system way of updating the software. And it's something that we didn't invent, but we have embraced wholeheartedly. It's a bottle rockets, completely open source, you know, have partners like Aqua, where who develop security tools for containers. And for them, you know, something I bought in rocket is a natural partnership because people are running a container host operating system. You can use Aqua tooling to make sure that they have a secure Indiana environment. And we see many more examples like that. You may think so over us, it's all about AWS proprietary technology because Lambda is a proprietary service. But you know, if you look peek under the covers, that's not necessarily true. Lambda runs on top of firecracker, as we've talked about fact crackers and open-source projects. So the foundation of Lambda in many ways is open source. What it also allows people to do is because Lambda runs at such extreme scale. One of the things that firecracker is really good for is running at scale. So if you want to build your own firecracker base at scale service, you can have most of the confidence that as long as your workload fits the design parameters, a firecracker, the battle hardening the robustness is being proved out day-to-day by services at scale like Lambda and foggy. For those of you who don't know service support services, you know, in the end, our goal with serverless is to make sure that you don't think about all the infrastructure that your applications run on. We focus on business logic as much as you can. That's how we think about it. And serverless has become its own quote-unquote "Sort of environment." The number of partners and open-source frameworks and tools that are spun up around serverless. In which case mostly, I mean, Lambda, API gateway. So it says like that is pretty high. So, you know, number of open source projects like Zappa server serverless framework, there's so many that have come up that make it easier for our customers to consume AWS services like Lambda and API gateway. We've also done some of our own tooling and frameworks, a serverless application model, AWS jealous. If you're a Python developer, we have these open service runtimes for Lambda, rust dot other options. We have amount of number of tools that we opened source. So in general, you'll find that tooling that we do runtime will tend to be always be open-sourced. We will often take some of the guts of the things that we use to build our systems like firecracker and open-source them while the control plane, etc, AWS services may end up staying proprietary, which is the case in Lambda. Increasingly our customers build their applications and leverage the broader AWS partner network. The AWS partner network is a network of partnerships that we've built of trusted partners. when you go to the APN website and find a partner, they know that that partner meets a certain set of criteria that AWS has developed, and you can rely on those partners for your own business. So whether you're a little tiny business that wants some function fulfill that you don't have the resources for or large enterprise that wants all these applications that you've been using on prem for a long time, and want to keep leveraging them in the cloud, you can go to APN and find that partner and then bring their solution on as part of your cloud infrastructure and could even be a systems integrator, for example, to help you solve this specific development problem that you may have a need for. Increasingly, you know, one of the things we like to do is work with an apartment community that is full of open-source providers. So a great one, there's so many, and you have, we have a panel discussion with many other partners as well, who make it easier for you to build applications on AWS, all open source and built on open source. But I like to call it a couple of them. The first one of them is TIDELIFT. TIDELIFT, For those of you who don't know is a company that provides SAS based tools to curate track, manage open source catalogs. You know, they have a whole network of maintainers and providers. They help, if you're an independent open developer, or a smart team should probably get to know TIDELIFT. They provide you benefits and, you know, capabilities as a developer and maintainer that are pretty unique and really help. And I've seen a number of our open source community embraced TIDELIFT quite honestly, even before they were part of the APN. But as part of the partner network, they get to participate in things like ISP accelerate and they get to they're officially an advanced tier partner because they are, they migrated the SAS offering onto AWS. But in the end, if you're part of the open source supply chain, you're a maintainer, you are a developer. I would recommend working with TIDELIFT because their goal is making all of you who are developing open source solutions, especially on AWS, more successful. And that's why I enjoy this partnership with them. And I'm looking to do a lot more because I think as a company, we want to make sure that open source developers don't feel like they are not supported because all you have to do is read various forums. It's challenging often to be a maintainer, especially of a small project. So I think with helping with licensing license management, security identification remediation, helping these maintainers is a big part of what TIDELIFT to us and it was great to see them as part of a partner network. Another partner that I like to call sysdig. I actually got introduced to them many years ago when they first launched. And one of the things that happened where they were super interested in some of our serverless stuff. And we've been trying to figure out how we can work together because all of our customers are interested in the capabilities that cystic provides. And over the last few years, he found a number of areas where we can collaborate. So sysdig, I know them primarily in a security company. So people use cystic to secure the bills, detect, you know, do threat response, threat detection, completely continuously validate their posture, get this continuous analytics signal on how they're doing and monitor performance. At the end of it, it's a SAS platform. They have a very nice open source security stack. The one I'm most familiar with. And I think most of you are probably familiar with is Falco. You know, sysdig, a CNCF project has been super popular. It's just to go SSS what 3, 37, 40 million downloads by now. So that's pretty, pretty cool. And they have been a great partner because we've had to do make sure that their solution works at target, which is not a natural place for their software to run, but there was enough demand and interest from our customers that, you know, or both companies leaned in to make sure they can be successful. So last year sister got a security competency. We have a number of specific competencies that we for our partners, they have integration and security hub is great. partners are lean in the way cystic has onto making our customer successful. And working with us are the best partners that we have. And there's a number of open source companies out there built on open source where their entire portfolio is built on open source software or the active participants like we are that we love working with on a day to day basis. So, you know, I think the thing I would like to, as we wind this out in this presentation is, you know, AWS is constantly looking for partnerships because our partners enable our customers. They could be with companies like Redis with Mongo, confluent with Databricks customers. Your default reaction might be, "Hey, these are companies that maybe compete with AWS." but no, I mean, I think we are partners as well, like from somebody at the lower end of the spectrum where people run on top of the services that I own on Linux and containers are SE 2, For us, these partners are just as important customers as any AWS service or any third party, 20 external customer. And so it's not a zero sum game. We look forward to working with all these companies and open source projects from an AWS perspective, a big part of how, where my open source program spends its time is making it easy for our developers to contribute, to open source, making it easy for AWS teams to decide when to open source software or participate in open source projects. Over the last few years, we've made significant changes in how we reduce the friction. And I think you can see it in the results that I showed you earlier in this stock. And the last one is one of the most important things that I say and I'll keep saying that, that we do as AWS is carry the pager. There's a lot of open source projects out there, operationalizing them, running them at scale is not easy. It's not all for whatever reason. It may not have anything to do with the software itself. But our core competency is taking that and being really good at operating it and becoming experts at operating it. And then ideally taking that expertise and experience and operating that project, that software and contributing back upstream. Cause that makes it better for everybody. And I think you'll see us do a lot more of that going forward. We've been doing that for the last few years, you know, in the container space, we do it every day. And I'm excited about the possibilities. With that. Thank you very much. And I hope you enjoy the rest of the showcase. >> Okay. Welcome back. We have Deepak sing here. We just had the keynote closing keynote vice-president of compute services. Deepak. Great to a great keynote, great wisdom and insight from that session. A very notable highlights and cutting edge trends and product information. Thanks for sharing. >> No, anytime it's always good to be here. It's too bad that we still doing this virtually, but always good to talk to you, John. >> We'll get hopefully through this way pretty quickly, I want to jump right in. Cause we don't have a lot of time. I want to get some quick question. You've brought up a good things. Open source innovation. Okay. Going next level. You've seen the rise of super clouds and super apps developing at open source. You're seeing big companies contributing, you know, you mentioned Argo into it. You're seeing that dynamic where companies are forming around this. This is a rising tide. This is, this is actually real. It's not the old school of, okay, here's a project. And then someone manages support and commercialization of it. It's actually platform in cloud scale. This is next gen. >> Yeah. And actually I think it started a few years ago. We can talk about a company that, you know, you're very familiar with as part of this event, which is armory many years ago, Netflix spun off this project called Spinnaker. A Spinnaker is CISED you know, CSED system that was developed at Netflix for their own purposes, but they chose to open solicit. And since then, it's become very popular with customers who want to use it even on prem. And you have a company that spun up on it. I think what's making this world very unique is you have very large companies like Facebook that will build things for themselves like VITAS or Netflix with Spinnaker and open source them. And you can have a lot of discussion about why they chose to do so, etc. But increasingly that's becoming the default when Amazon or Netflix or Facebook or Mehta, I guess you call them these days, build something for themselves for their own needs. The first question we ask ourselves is, should it be opensource? And increasingly we are all saying yes. And here's what happens because of that. It gives an opportunity depending on how you open source it for innovation through commercial deployments, so that you get SaaS companies, you know, that are going to take that product and make it relevant and useful to a very broad number of customers. You build partnerships with cloud providers like AWS, because our customers love this open source project and they need help. And they may choose an AWS managed service, or they may end up working with this partner on a day-to-day basis. And we want to work with that partner because they're making our customers successful, which is one reason all of us are here. So you're having this set of innovation from large companies from, you know, whether they are just consumer companies like Metta infrastructure companies like us, or just random innovation that's happening in an open source project that which ends up in companies being spun up and that foster that innovative innovation and that flywheel that's happening right now. And I think you said that like, this is unique. I mean, you never saw this happen before from so many different directions. >> It really is a nice progression on the business model side as well. You mentioned Argo, which is a great organic thing that was Intuit developed. We just interviewed code fresh. They just presented here in the showcase as well. You seeing the formation around these projects develop now in the community at a different scale. I mean, look at code fresh. I mean, Intuit did it Argo and they're not just supporting it. They're building a platform. So you seeing the dynamics of tools and now emerging the platforms, you mentioned Lambda, okay. Which is proprietary for AWS and your talk powered by open source. So again, open source combined with cloud scale allows for new potential super applications or super clouds that are developing. This is a new phenomenon. This isn't just lift and shift and host on the cloud. This is actually a construction production developer workflow. >> Yeah. And you are seeing consumers, large companies, enterprises, startups, you know, it used to be that startups would be comfortable adopting some of these solutions, but now you see companies of all sizes doing so. And I said, it's not just software it's software, the services increasingly becoming the way these are given, delivered to customers. I actually think the innovation is just getting going, which is why we have this. We have so many partners here who are all in inventing and innovating on top of open source, whether it's developed by them or a broader community. >> Yeah. I liked, I liked the represent container. Do you guys have, did that drove that you've seen a lot of changes and again, with cloud scale and open source, you seeing the dynamics change, whether you're enabling that, and then you see kind of like real big change. So let's take snowflake, a big customer of AWS. They started out as a startup too, but they weren't a data warehouse. They were bringing data warehouse like functionality and then changing everything differently and making it consumable for the cloud. And hence they're huge. So that's a disruption into an incumbent leader or sector. Then you've got new capabilities emerging. What's your thoughts, Deepak? Can you share your vision on how you have the disruption to existing leaders, old guard, if you will, as you guys call them and then new capabilities as these new platforms emerge at a net new functionality, how do you see that emerging? >> Yeah. So I speak from my side of the world. I've lived in over the last few years, which has containers and serverless, right? There's a lot of, if you go to any enterprise and ask them, do you want to modernize the infrastructure? Do you want to take advantage of automated software delivery, continuous delivery infrastructure as code modern observability, all of them will say yes, but they also are still a large enterprise, which has these enterprise level requirements. I'm using the word enterprise a lot. And I usually it's a trigger word for me because so many customers have similar requirements, but I'm using it here as large company with a lot of existing software and existing practices. I think the innovation that's coming and I see a lot of companies doing that is saying, "Hey, we understand the problems you want to solve. We understand the world where you live in, which could be regulated." You want to use all these new modalities. How do we allow you to use all of them? Keep the advantages of switching to a Lambda or switching to, and a service running on far gate, but give you the same capabilities. And I think I'll bring up cystic here because we work so closely with them on Falco. As an example, I just talked about them in my keynote. They could have just said, "Oh no, we'll just support the SE2 and be done with it." They said, "No, we're going to make sure that serverless containers in particular are something that you're going to be really good at because our customers want to use them, but requires us to think differently. And then they ended up developing new things like Falco that are born in this new world, but understand the requirements of the old world. If you get what I'm saying. And I think that a real example. >> Yeah. Oh, well, I mean, first of all, they're smart. So that was pretty obvious for most people that know, sees that you can connect the dots on serverless, which is a great point, but not everyone can see that again, this is what's new and and systig was just found in his backyard. As I found out on my interview, a great, great founder, they would do a new thing. So it was a very easy to connect the dots there again, that's the trend. Well, I got to ask if they're doing that for serverless, you mentioned graviton in your speech and what came out of you mentioned graviton in your speech and what came out of re-invent this past year was all the innovation going on at the compute level with gravitron at many levels in the Silicon. How should companies and open source developers think about how to innovate with graviton? >> Yeah, I mean, you've seen examples from people blogging and tweeting about how fast their applications run and grab it on the price performance benefits that they get, whether it's on, you know, whether it's an observability or other places. something that AWS is going to embrace across a compute something that AWS is going to embrace across a compute portfolio. Obviously you can go find EC2 instances, the gravitron two instances and run on them and that'll be great. But we know that most of our customers, many of our customers are building new applications on serverless containers and serveless than even as containers increasingly with things like foggy, where they don't want to operate the underlying infrastructure. A big part of what we're doing is to make sure that graviton is available to you on every compute modality. You can run it on a C2 forever. You've been running, being able to use ECS and EKS and run and grab it on almost since launch. What do you want me to take it a step further? You elastic Beanstalk customers, elastic Beanstalk has been around for a decade, but you can now use it with graviton. people running ECS on for gate can now use graviton. Lambda customers can pick graviton as well. So we're taking this price performance benefits that you get So we're taking this price performance benefits that you get from graviton and basically putting it across the entire compute portfolio. What it means is every high level service that gets built on compute infrastructure. And you get the price performance benefits, you get the price performance benefits of the lower power consumption of arm processes. So I'm personally excited like crazy. And you know, this has graviton 2 graviton 3 is coming. >> That's incredible. It's an opportunity like serverless was it's pretty obvious. And I think hopefully everyone will jump on that final question as the time's ticking here. I want to get your thoughts quickly. If you look at what's happened with containers over the past say eight years since the original founding of the first Docker instance, if you will, to how that's evolved and then the introduction of Kubernetes and the cloud native wave we're seeing now, what is, how would you describe the relationship between the success Docker, seeing now with Kubernetes in the cloud native construct what's different and why is this combination so successful? >> Yeah. I often say that containers would have, let me rephrase that. what I say is that people would have adopted sort of the modern way of running applications, whether containers came around or not. But the fact that containers came around made that migration and that journey is so much more efficient for people. So right from, I still remember the first doc that Solomon gave Billy announced DACA and starting to use it on customers, starting to get interested all the way to the more sort of advanced orchestration that we have now for containers across the board. And there's so many examples of the way you can do that. Kubernetes being the most, most well-known one. Here's the thing that I think has changed. I think what Kubernetes or Docker, or the whole sort of modern way of building applications has done is it's taken people who would have taken years adopting these practices and by bringing it right to the fingertips and rebuilding it into the APIs. And in the case of Kubernetes building an entire sort of software world around it, the number of, I would say number of decisions people have to take has gone smaller in many ways. There's so many options, the number of decisions that become higher, but the com the speed at which they can get to a result and a production version of an application that works for them is way low. I have not seen anything like what I've seen in the last 6, 7, 8 years of how quickly the most you know, the most I would say is, you know, a company that you would think would never adopt modern technology has been able to go from, this is interesting to getting a production really quickly. And I think it's because the tooling makes it So, and the fact that you see the adoption that you see right and the fact that you see the adoption that you see right from the fact that you could do Docker run Docker, build Docker, you know, so easily back in the day, all the way to all the advanced orchestration you can do with container orchestrator is today. sort of taking all of that away as well. there's never been a better time to be a developer independent of whatever you're trying to build. And I think containers are a big central part of why that's happened. >> Like the recipe, the combination of cloud-scale, the timing of Kubernetes and the containerization concepts just explode as a beautiful thing. And it creates more opportunities and will challenges, which are opportunities that are net new, but it solves the automation piece that we're seeing this again, it's only makes things go faster. >> Yes. >> And that's the key trend. Deepak, thank you so much for coming on. We're seeing tons of open cloud innovations, thanks to the success of your team at AWS and being great participants in the community. We're seeing innovations from startups. You guys are helping enabling that. Of course, they want to live on their own and be successful and build their super clouds and super app. So thank you for spending the time with us. Appreciate. >> Yeah. Anytime. And thank you. And you know, this is a great event. So I look forward to people running software and building applications, using AWS services and all these wonderful partners that we have. >> Awesome, great stuff. Great startups, great next generation leaders emerging. When you see startups, when they get successful, they become the modern software applications platforms out there powering business and changing the world. This is the cube you're watching the AWS startup showcase. Season two episode one open cloud innovations on John Furrier your host, see you next time.
SUMMARY :
And the thing that we have We just had the keynote closing but always good to talk to you, John. It's not the old school And I think you said that So you seeing the dynamics but now you see companies and then you see kind How do we allow you to use all of them? sees that you can connect is available to you on Kubernetes and the cloud of the way you can do that. but it solves the automation And that's the key trend. And you know, and changing the world.
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Rick Smith, IBM | IBM Think 2021
>> Announcer: From around the globe. >> (upbeat music) It's the cube with digital coverage of IBM Think 2021 brought to you by IBM. >> Hi, welcome back everyone to the Cubes coverage of IBM Think 2021 virtual. I'm John Furrier, host of the cube. Got a great guest, Rick Smith, CTO of IBM Anthem client team. Rick. Great to see you. Thanks for coming on the cube. >> Yeah. Thank you, John. Nice to see you as well, virtually. >> First introduce yourself, what you do there, what's going on on your plate these days, honestly, COVID, we're coming out of it soon. Take a minute to introduce yourself. >> Yeah, so I've got about 15 years in the seat with Anthem. Previous to that I worked at Pretty university as the CTO in Indiana. So haven't really left, but started working with Anthem as a technical architect, eventually moved into the CTO role and have been part of, you know, a long journey with them that started at a managed services agreement in 2005. And here we are in 2021. So I've been through a lot of changes they've made to improve themselves and move into digitalization. And certainly the changes we've made too to accommodate that as we went through the years. >> Awesome. Well, thanks for that setup. I really want to dig into this expansion of project Cirrus. You guys have had a multi decade partnership with IBM and then last year you launched this expansion, project Cirrus. Can you describe this project? And what does it mean? And this new term I've heard, enterprise hybrid cloud as a service. Sounds very interesting. >> Yeah. So that's my term. I'm hoping you made it patent or something like that. But the reality is you hear our CEO talk and say that 75% of corporate workloads are not in the cloud yet. Right? And Anthem is no different, right? So they starting to go into cloud and those kinds of things. But they said to us, you know, "Hey, we've got a long series of excellence with you from a delivery perspective, reliability perspective is kind of the bedrock of what we do, but we don't want to be in the data center business, right? And we want to transform and move to cloud. We want to become a more of an AI company and these kinds of things. And we said, well, we think we can actually put together a program... Excuse me, program for you to allow you to do that, right? And so we formed something called project Cirrus which is really an expansion of our partnership. So if I look back, John, we did about 80% of the end-to-end delivery for Anthem from a managed services perspective. In other words, they did a few pieces and we said, we think we could improve that if we had the entire 100%. And so project Cirrus was about, you know, extending from 80% to 100%. It was also about taking a series of applications that were important to them and actually say, we'll actually take them on and transform them 100% all the way to cloud and take advantage of new things. It was about a commitment to closing those data centers, right? So they have five strategic data centers. And about 24,000 hosts that we said we will actually commit to getting those, you know, getting you out of the data centers and moving those to either IBM cloud or close to IBM cloud if you will, I'll come back to that in a minute. And we'll also build something called ATEC, Anthem Technology Excellent Center, if you will. And that's near and dear to my heart because that's sort of my baby, right? So it's a transformation engine and we can talk a little bit more about that in a second. But he said the key to this for us is that, if we look at our trend line, John, over the number of years with Anthem, when we started about 2007 looking at this data, we've grown the number of hosts. We've had to manage, over 600% during that time period. But we've driven down high priority incidents by over 90%. So think about that. You know, this is really important for them to have resiliency and stability in their organization. You know, huge acceleration number of hosts, but drive down the a P zero incidents, if you will. And they said, we need to maintain that and continue to improve upon that. Right? >> Yeah. >> So Cirrus was a commitment to take that further, right? Start driving AAN, AI into the operations, if you will in everything that we do. So Anthem is transforming to do AI and machine learning for their members. We're committed to transforming and doing the same kind of thing on our operational side if you will. >> Yeah, that's awesome. And I think one of the things that's interesting that jumps out at me just as you're talking, first of all super exciting that project you got out there, a lot going on to unpack, but let's do that. I mean, what I hear you saying which is getting me kind of all triggered in a good way is you got transformation going on and innovation same time. You're innovating with this new enterprise hybrid clouds of service concept. You take in more efficiency, you're doing the classic transformational things, making things more efficient, all that good stuff for agility, but it's actually innovative. So this idea of an enterprise hybrid cloud as a service is pretty innovative because now you're talking about things with AI and scale that come into play, right? So you got the setup, you got it moving into being innovative but scales right there. What is this enterprise hybrid cloud as a service? Because is it just agility, is it the AI piece? Where do you see that going? >> Yeah, that's a great question. Right? And you're a great stuff, man, Johnson. (Smith laughs) So again, Anthem's not ready to move all of their workload to cloud, right? And we recognize (indistinct)is going to be out of the data center business. So how can we take non traditional workloads, right? Get them close to cloud, right? Get them very close to cloud, get us out of the managing the data center and actually allow us to move seamlessly from non traditional workloads into cloud. And so what we did was something we think is very innovative. This is the enterprise hybrid cloud piece for me, right? 'Cause normally hybrid cloud says, you have a client data center location and you have cloud. We marry the two together. We said, you're not going to have a data center location anymore. We're going to have our data centers, you know, IBM cloud. And we're actually going to put some dedicated space right next to cloud. And when I say next to cloud, I literally mean within a few feet. And we're going to bring these non traditional workloads there, we're going to take the network operation brain and bring it there. And we're going to allow you then to basically be able to move seamlessly from that to directly into cloud and improve operations at the same time. There's other a side benefit to this too. The other unintended sort of benefit is that what any organization, right? That you find stuff in the data center that hasn't been looked at for a long period of time, right? Application teams haven't looked at it, et cetera, et cetera. We're literally touching every single host. Right? So this gives us an opportunity to also work with our teams and find things that really can just be thrown away. Right? And this is great because we're actually making them more efficient, optimizing the cost structures as we go about it. >> Yeah. I mean the operational model changes me. You mentioned that just that whole point about you're kind of doing some discovery on apps, this becomes kind of sets the table for AI ops which is just code word for day two operations or full cloud native environments, which now you're seeing cloud native include legacy. Yes. Because you can put containers into the mix and you can then create these integration points that you don't have to kind of get rid of the old to bring in the new. So the dimension of what's going on here is pretty interesting, right? When you start thinking about that, "Okay. I can modernize the same time as connect two existing systems." >> That's exactly right. And we put the things very close to one another. And if there's any concerns over data security compliance or healthcare regulated industry, of course, we can have the workloads located in the best location to ensure that security is in place. Right? So that's what's beautiful about it, right? We can kind of hit every layer that's possible from having it just as secure as completely privatized to going directly over to public cloud or connecting the two together as we go along. >> Well, you're definitely a pioneer. I love that enterprise hybrid cloud as a service. I think that's something that's relevant. We're living in a hybrid world. I mean, the cube, we used to go to events now it's virtual events, but when now the events come back, they're hybrid events. Every company is experiencing this phenomenon on hybrid something, not just technology. The ops got to adapt, so super cool. You mentioned something that was your baby. I want to get back to you. And you said you want to talk about, I want to just bring that up. This Anthem technology excellence center is your baby. ATech I think you said for short. >> Yeah. We call it Atech for short. And really, John, we said that it's got to be more than just taking that other 20% that we don't run today. And we're doing some very innovative things moving non-traditional workloads. Like I said, all that kind of stuff was very cool, right? But we need a transformation engine, right? And we need the ability to transform skills. Like upscale the people at Anthem as well as IBM, right there on the account team, it's a big account. We want to think of new ways to work together. Right? Traditional managed services is like, what? Someone cuts a ticket and says, "Give me X by her seat." Right? That's the traditional model. And we said, that's not good enough. We need to collaborate better together. And we are willing to redefining how we form our teams to work with Anthem. Right? So if we want to form, for example, a product ownership team that builds it, runs it, maintains it. And that team has Anthem plus IBM together. we're going to use ATEC as a vehicle to design that and drive it and make sure they have all the skills they need within that group to do that. Right? That's new ways of working together. And it's also to drive things like site reliability engineering, right? Cloud service management operations, make sure that Anthem has the right training, make sure we work together on these kinds of things. So it's really kind of an exciting thing. And it's intended to be a co-created model, right? So we actually work with the Anthem, we co-create using IBM garage methodologies and then the idea is to coast staff it, but it's tended to be a thin layer of world-class engineering. That's really the whole point of it. And yeah, I'm super excited about that. As you move forward, yeah. >> While you're speaking our language, the cube we'd love the co-creation we do with media. It's always fun to create content together. And sometimes in real time put it together like we're doing now. And it creates a bond. I mean, I got to bring this up because this is becoming more and more obvious. And now mainstream, the notion of co-creation, the notion of ecosystems and ecosystems really meaning network effect and integrating with other parties, right? Companies and our systems. If you look at the underlying business model as a systems management software bottle. Okay. So with that, these ecosystems, the network effect. If you build together, you stay together. I mean, this is a different mindset. It's different dynamic. It's a different relationship that companies are now looking for in what used to be called suppliers. Are you supplying something? Are you building together? Right. So this seems to be the theme. Can you expand on this new trend? >> Right. And get away from the strict racing, this person does, this person does that. Instead, we build a team together that has all the skills necessary and that team owns a product life cycle. They build it, run it and maintain it. And that's changing the way we deliver services from IBM perspective significantly, right? Because that's not our traditional model but that's what we're doing. So we're really out in the front end, on the front edge if you will. Changing that model completely. And it's one of the most exciting things for me, you know, as far as going forward. >> You know, this whole idea of partnerships has always kind of been there but now it gets modernized and uplifted if you will, to a new level. And it really is about watching each other's backs too when you have that kind of... 'Cause we're talking about like pushing the envelope on probably the biggest confluence of tech trends I've ever seen in my career. And I've seen many big waves, you know, from the different revolutions and inflection points. Now it's sort of all coming together, right? At scale too, it's happening very fast. I mean, the change over is happening in years that once you took decades before. So it's really is a team approach. >> Yeah. There's no doubt about it. And I see it every day in the work we're doing. And it's like, for example, at Atech where we're working with the data scientists at the Anthem, we're thinking of new ways to build things they've never done before. We're hoping to enable their science, enable the things they want to do for digitization standpoint, the same token I'm taking, you know, a data scientist and putting them on the operation side too. Right? So we're doing both these kinds of things together. And really I didn't say this before, but this whole thing is about driving automation, right? Driving down, no human touch, soft service, automation. That is kind of been the linchpin of this. And I also want to say John, that doing this all during a pandemic, you know, we signed our new agreement together with them at a quarter, at the end of March in 2020. And we went live in August 1st with all the changes, the extra 20% capacity to over 300 plus applications completely, started Atech from co-creation in a pandemic. And we both agreed as a company, I give great credit to our client and to the numbers involved that everyone set up front and during March. The pandemic's not an excuse to get anything done. So, we're going to go forward and make it happen. That's probably the thing I'm most proud about. That was just... It's crazy when you think of how big the project was and do pull it off during a pandemic. >> Yeah. There's going to be two sides of the street and this one, this pandemics over the ones who made it through and refactored and or innovated. Cause it's not just about being and having a tale, it's about taking advantage of the situation and the ones who didn't do anything. Whether they were in the cloud or not, that's not to me. That's not the issue of you're in the cloud you had an advantage. >> It's not. Right. >> But there's going to be two sides of the streets. And I think the one thing that the pandemic has shown us and I'd love to get your reaction as a final comment here is that when you pull back when the pandemic, it showed all the scabs, it shows everything. And you can see what's obvious and it becomes a forcing function. Necessity's the mother of all invention as expression goes so you can see what's worth doubling down on and you can see the productivity gains and that becomes clear. >> Yeah. Yeah. And I think there's good and bad with everything, right? Pros and cons, like you said, and you know, one of the cons I think is the having to schedule all interactions is definitely a con, right? Because when you spend time not only with the client virtually but in person, you do get the advantage of having, you know, chalk talks and things like that. They're not scheduled. Right? So that's definitely one of the cons side, but one of the pro side is it did provide some focus, right? Kind of extreme focus and on what's important and allowed us to, you know, I think dove some bonds with the Anthem leadership team and the application teams doing it virtually over cameras like this that maybe happen at a larger scale than they might have normally been because the pandemic kind of allowed us to do that and made that happen. >> Great stuff, Rick, great insight. Great to have you on the cube as always. Great to talk tech, talk business, talk about the transformation and innovation and the cloud scale. Thanks for coming on Rick Smith, CTO of the IBM Anthem client team. Thanks for coming on the cube. >> You're welcome. Thanks John. >> Okay. Cube coverage of IBM Think 2021. I'm John. For your host of the cube. Thanks for watching. (soft music) (upbeat music)
SUMMARY :
brought to you by IBM. I'm John Furrier, host of the cube. Nice to see you as well, virtually. Take a minute to introduce yourself. And certainly the changes we've made too and then last year you But they said to us, you know, the operations, if you will is it the AI piece? and improve operations at the same time. So the dimension of what's going on here And we put the things I mean, the cube, we used to go to events And it's intended to be a And now mainstream, the on the front edge if you will. And I've seen many big waves, you know, the same token I'm taking, you know, and the ones who didn't do anything. It's not. And you can see what's obvious is the having to schedule Great to have you on the cube as always. Thanks John. Thanks for watching.
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IBM13 Rick Smith V2
(upbeat music) >> Announcer: From around the globe. It's the cube with digital coverage of IBM Think 2021 brought to you by IBM. >> Hi, welcome back everyone to the Cubes coverage of IBM Think 2021 virtual. I'm John Furrier, host of the cube. Got a great guest, Rick Smith, CTO of IBM Anthem client team. Rick. Great to see you. Thanks for coming on the cube. >> Yeah. Thank you, John. Nice to see you as well, virtually. >> First introduce yourself, what you do there, what's going on on your plate these days, honestly, COVID, we're coming out of it soon. Take a minute to introduce yourself. >> Yeah, so I've got about 15 years in the seat with Anthem. Previous to that I worked at Pretty university as the CTO in Indiana. So haven't really left, but started working with Anthem as a technical architect, eventually moved into the CTO role and have been part of, you know, a long journey with them that started at a managed services agreement in 2005. And here we are in 2021. So I've been through a lot of changes they've made to improve themselves and move into digitalization. And certainly the changes we've made too to accommodate that as we went through the years. >> Awesome. Well, thanks for that setup. I really want to dig into this expansion of project Sirius. You guys have had a multi decade partnership with IBM and then last year you launched this expansion, project Sirus. Can you describe this project? And what does it mean? And this new term I've heard, enterprise hybrid cloud as a service. Sounds very interesting. >> Yeah. So that's my term. I'm hoping you made it patent or something like that. But the reality is you hear our CEO talk and say that 75% of corporate workloads are not in the cloud yet. Right? And Anthem is no different, right? So they starting to go into cloud and those kinds of things. But they said to us, you know, "Hey, we've got a long series of excellence with you from a delivery perspective, reliability perspective is kind of the bedrock of what we do, but we don't want to be in the data center business, right? And we want to transform and move to cloud. We want to become a more of an AI company and these kinds of things. And we said, well, we think we can actually put together a program... Excuse me, program for you to allow you to do that, right? And so we formed something called project Sirius which is really an expansion of our partnership. So if I look back, John, we did about 80% of the end-to-end delivery for Anthem from a managed services perspective. In other words, they did a few pieces and we said, we think we could improve that if we had the entire 100%. And so project Sirius was about, you know, extending from 80% to 100%. It was also about taking a series of applications that were important to them and actually say, we'll actually take them on and transform them 100% all the way to cloud and take advantage of new things. It was about a commitment to closing those data centers, right? So they have five strategic data centers. And about 24,000 hosts that we said we will actually commit to getting those, you know, getting you out of the data centers and moving those to either IBM cloud or close to IBM cloud if you will, I'll come back to that in a minute. And we'll also build something called ATEC, Anthem Technology Excellent Center, if you will. And that's near and dear to my heart because that's sort of my baby, right? So it's a transformation engine and we can talk a little bit more about that in a second. But he said the key to this for us is that, if we look at our trend line, John, over the number of years with Anthem, when we started about 2007 looking at this data, we've grown the number of hosts. We've had to manage, over 600% during that time period. But we've driven down high priority incidents by over 90%. So think about that. You know, this is really important for them to have resiliency and stability in their organization. You know, huge acceleration number of hosts, but drive down the a P zero incidents, if you will. And they said, we need to maintain that and continue to improve upon that. Right? >> Yeah. >> So Sirius was a commitment to take that further, right? Start driving AAN, AI into the operations, if you will in everything that we do. So Anthem is transforming to do AI and machine learning for their members. We're committed to transforming and doing the same kind of thing on our operational side if you will. >> Yeah, that's awesome. And I think one of the things that's interesting that jumps out at me just as you're talking, first of all super exciting that project you got out there, a lot going on to unpack, but let's do that. I mean, what I hear you saying which is getting me kind of all triggered in a good way is you got transformation going on and innovation same time. You're innovating with this new enterprise hybrid clouds of service concept. You take in more efficiency, you're doing the classic transformational things, making things more efficient, all that good stuff for agility, but it's actually innovative. So this idea of an enterprise hybrid cloud as a service is pretty innovative because now you're talking about things with AI and scale that come into play, right? So you got the setup, you got it moving into being innovative but scales right there. What is this enterprise hybrid cloud as a service? Because is it just agility, is it the AI piece? Where do you see that going? >> Yeah, that's a great question. Right? And you're a great stuff, man, Johnson. (Smith laughs) So again, Anthem's not ready to move all of their workload to cloud, right? And we recognize (indistinct)is going to be out of the data center business. So how can we take non traditional workloads, right? Get them close to cloud, right? Get them very close to cloud, get us out of the managing the data center and actually allow us to move seamlessly from non traditional workloads into cloud. And so what we did was something we think is very innovative. This is the enterprise hybrid cloud piece for me, right? 'Cause normally hybrid cloud says, you have a client data center location and you have cloud. We marry the two together. We said, you're not going to have a data center location anymore. We're going to have our data centers, you know, IBM cloud. And we're actually going to put some dedicated space right next to cloud. And when I say next to cloud, I literally mean within a few feet. And we're going to bring these non traditional workloads there, we're going to take the network operation brain and bring it there. And we're going to allow you then to basically be able to move seamlessly from that to directly into cloud and improve operations at the same time. There's other a side benefit to this too. The other unintended sort of benefit is that what any organization, right? That you find stuff in the data center that hasn't been looked at for a long period of time, right? Application teams haven't looked at it, et cetera, et cetera. We're literally touching every single host. Right? So this gives us an opportunity to also work with our teams and find things that really can just be thrown away. Right? And this is great because we're actually making them more efficient, optimizing the cost structures as we go about it. >> Yeah. I mean the operational model changes me. You mentioned that just that whole point about you're kind of doing some discovery on apps, this becomes kind of sets the table for AI ops which is just code word for day two operations or full cloud native environments, which now you're seeing cloud native include legacy. Yes. Because you can put containers into the mix and you can then create these integration points that you don't have to kind of get rid of the old to bring in the new. So the dimension of what's going on here is pretty interesting, right? When you start thinking about that, "Okay. I can modernize the same time as connect two existing systems." >> That's exactly right. And we put the things very close to one another. And if there's any concerns over data security compliance or healthcare regulated industry, of course, we can have the workloads located in the best location to ensure that security is in place. Right? So that's what's beautiful about it, right? We can kind of hit every layer that's possible from having it just as secure as completely privatized to going directly over to public cloud or connecting the two together as we go along. >> Well, you're definitely a pioneer. I love that enterprise hybrid cloud as a service. I think that's something that's relevant. We're living in a hybrid world. I mean, the cube, we used to go to events now it's virtual events, but when now the events come back, they're hybrid events. Every company is experiencing this phenomenon on hybrid something, not just technology. The ops got to adapt, so super cool. You mentioned something that was your baby. I want to get back to you. And you said you want to talk about, I want to just bring that up. This Anthem technology excellence center is your baby. ATech I think you said for short. >> Yeah. We call it Atech for short. And really, John, we said that it's got to be more than just taking that other 20% that we don't run today. And we're doing some very innovative things moving non-traditional workloads. Like I said, all that kind of stuff was very cool, right? But we need a transformation engine, right? And we need the ability to transform skills. Like upscale the people at Anthem as well as IBM, right there on the account team, it's a big account. We want to think of new ways to work together. Right? Traditional managed services is like, what? Someone cuts a ticket and says, "Give me X by her seat." Right? That's the traditional model. And we said, that's not good enough. We need to collaborate better together. And we are willing to redefining how we form our teams to work with Anthem. Right? So if we want to form, for example, a product ownership team that builds it, runs it, maintains it. And that team has Anthem plus IBM together. we're going to use ATEC as a vehicle to design that and drive it and make sure they have all the skills they need within that group to do that. Right? That's new ways of working together. And it's also to drive things like site reliability engineering, right? Cloud service management operations, make sure that Anthem has the right training, make sure we work together on these kinds of things. So it's really kind of an exciting thing. And it's intended to be a co-created model, right? So we actually work with the Anthem, we co-create using IBM garage methodologies and then the idea is to coast staff it, but it's tended to be a thin layer of world-class engineering. That's really the whole point of it. And yeah, I'm super excited about that. As you move forward, yeah. >> While you're speaking our language, the cube we'd love the co-creation we do with media. It's always fun to create content together. And sometimes in real time put it together like we're doing now. And it creates a bond. I mean, I got to bring this up because this is becoming more and more obvious. And now mainstream, the notion of co-creation, the notion of ecosystems and ecosystems really meaning network effect and integrating with other parties, right? Companies and our systems. If you look at the underlying business model as a systems management software bottle. Okay. So with that, these ecosystems, the network effect. If you build together, you stay together. I mean, this is a different mindset. It's different dynamic. It's a different relationship that companies are now looking for in what used to be called suppliers. Are you supplying something? Are you building together? Right. So this seems to be the theme. Can you expand on this new trend? >> Right. And get away from the strict racing, this person does, this person does that. Instead, we build a team together that has all the skills necessary and that team owns a product life cycle. They build it, run it and maintain it. And that's changing the way we deliver services from IBM perspective significantly, right? Because that's not our traditional model but that's what we're doing. So we're really out in the front end, on the front edge if you will. Changing that model completely. And it's one of the most exciting things for me, you know, as far as going forward. >> You know, this whole idea of partnerships has always kind of been there but now it gets modernized and uplifted if you will, to a new level. And it really is about watching each other's backs too when you have that kind of... 'Cause we're talking about like pushing the envelope on probably the biggest confluence of tech trends I've ever seen in my career. And I've seen many big waves, you know, from the different revolutions and inflection points. Now it's sort of all coming together, right? At scale too, it's happening very fast. I mean, the change over is happening in years that once you took decades before. So it's really is a team approach. >> Yeah. There's no doubt about it. And I see it every day in the work we're doing. And it's like, for example, at Atech where we're working with the data scientists at the Anthem, we're thinking of new ways to build things they've never done before. We're hoping to enable their science, enable the things they want to do for digitization standpoint, the same token I'm taking, you know, a data scientist and putting them on the operation side too. Right? So we're doing both these kinds of things together. And really I didn't say this before, but this whole thing is about driving automation, right? Driving down, no human touch, soft service, automation. That is kind of been the linchpin of this. And I also want to say John, that doing this all during a pandemic, you know, we signed our new agreement together with them at a quarter, at the end of March in 2020. And we went live in August 1st with all the changes, the extra 20% capacity to over 300 plus applications completely, started Atech from co-creation in a pandemic. And we both agreed as a company, I give great credit to our client and to the numbers involved that everyone set up front and during March. The pandemic's not an excuse to get anything done. So, we're going to go forward and make it happen. That's probably the thing I'm most proud about. That was just... It's crazy when you think of how big the project was and do pull it off during a pandemic. >> Yeah. There's going to be two sides of the street and this one, this pandemics over the ones who made it through and refactored and or innovated. Cause it's not just about being and having a tale, it's about taking advantage of the situation and the ones who didn't do anything. Whether they were in the cloud or not, that's not to me. That's not the issue of you're in the cloud you had an advantage. >> It's not. Right. >> But there's going to be two sides of the streets. And I think the one thing that the pandemic has shown us and I'd love to get your reaction as a final comment here is that when you pull back when the pandemic, it showed all the scabs, it shows everything. And you can see what's obvious and it becomes a forcing function. Necessity's the mother of all invention as expression goes so you can see what's worth doubling down on and you can see the productivity gains and that becomes clear. >> Yeah. Yeah. And I think there's good and bad with everything, right? Pros and cons, like you said, and you know, one of the cons I think is the having to schedule all interactions is definitely a con, right? Because when you spend time not only with the client virtually but in person, you do get the advantage of having, you know, chalk talks and things like that. They're not scheduled. Right? So that's definitely one of the cons side, but one of the pro side is it did provide some focus, right? Kind of extreme focus and on what's important and allowed us to, you know, I think dove some bonds with the Anthem leadership team and the application teams doing it virtually over cameras like this that maybe happen at a larger scale than they might have normally been because the pandemic kind of allowed us to do that and made that happen. >> Great stuff, Rick, great insight. Great to have you on the cube as always. Great to talk tech, talk business, talk about the transformation and innovation and the cloud scale. Thanks for coming on Rick Smith, CTO of the IBM Anthem client team. Thanks for coming on the cube. >> You're welcome. Thanks John. >> Okay. Cube coverage of IBM Think 2021. I'm John. For your host of the cube. Thanks for watching. (soft music) (upbeat music)
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Driving Digital Transformation with Search & AI | Beyond.2020 Digital
>>Yeah, yeah. >>Welcome back to our final session in cultivating a data fluent culture track earlier today, we heard from experts like Valerie from the Data Lodge who shared best practices that you can apply to build that data flew into culture in your organization and tips on how to become the next analyst of the future from Yasmin at Comcast and Steve at all Terex. Then we heard from a captivating session with Cindy Hausen and Ruhollah Benjamin, professor at Princeton, on how now is our chance to change the patterns of injustice that we see have been woven into the fabric of society. If you do not have a chance to see today's content, I highly recommend that you check it out on demand. There's a lot of great information that you could start applying today. Now I'm excited to introduce our next session, which will take a look at how the democratization of data is powering digital transformation in the insurance industry. We have two prestigious guests joining us today. First Jim Bramblett, managing director of North America insurance practice, lead at its center. Throughout Jim's career, he's been focused on large scale transformation from large to midsize insurance carriers. His direct experience with clients has traditionally been in the intersection of technology, platform transformation and operating remodel redesign. We also have Michael cast Onus, executive VP and chief operating officer at DNA. He's responsible for all information technology, analytics and operating functions across the organization. Michael has led major initiatives to launch digital programs and incorporating modern AP I architectures ER, which was primarily deployed in the cloud. Jim, please take it away. >>Great. Thanks, Paula E thought we'd cover a few things today around around data. This is some of the trends we see in data within the insurance sector. And then I'll hand it over to Michael Teoh, take you through his story. You know, I think at the macro level, as we think about data and we think about data in the context of the insurance sector, it's interesting because the entire history of the insurance sector has been built on data and yet, at the same time, the entire future of it relies on that same data or similar similar themes for data. But but different. Right? So we think about the history, what has existed in an insurance companies. Four walls was often very enough, very enough to compete, right? So if you think about your customer data, claims, data, CRM, data, digital data, all all the data that was yeah, contained within the four walls of your company was enough to compete on. And you're able to do that for hundreds of years. But as we we think about now as we think about the future and the ability to kind of compete on data, this data comes from many more places just than inside your four walls. It comes from every device, every human, every vehicle, every property, every every digital interaction. Um in upon this data is what we believe insurers need to pivot to. To compete right. They need to be able to consume this data at scale. They need to be able to turn through this data to drive analytics, and they serve up insights based on those analytics really at the desktop of insurance professionals. And by the way, that has to be in the natural transition of national transaction. Of that employees work day. So an underwriter at a desktop claim him on the desktop, the sales associate of desktop. Those insights need to be served up at that point in time when most relevant. And you know. So if we think about how insurance companies are leveraging data, we see this really on kind of three horizons and starting from the left hand side of the page here, this is really brilliant basics. So how my leveraging core core data and core applied intelligence to monetize your existing strategy? And I think this brilliant based, brilliant basics concept is where most of most of my clients, at least within insurance are are today. You know, how are we leveraging data in the most effective way and putting it in the hands of business decision makers to make decisions largely through reporting and some applied intelligence? Um, Horizon two. We see, you know, definitely other industries blazing a trail here, and this is really about How do we integrate ecosystems and partners Now? I think within insurance, you know, we've had data providers forever, right? Whether it's NPR data, credit data risk data, you know, data aggregators and data providers have been a critical part of the insurance sector for for decades. I think what's different about this this ecosystem and partnership model is that it's much more Oneto one and it's much more, you know, kind of. How do we integrate more tightly and how do we become more embedded in each other's transactions? I think that we see some emergence of this, um, in insurance with automotive manufacturers with building management systems. But I think in the grand scheme of things, this is really very, very nascent for us as a sector. And I think the third horizon is is, you know, how do we fundamentally think about data differently to drive new business models? And I, you know, I don't know that we haven't ensure here in North America that's really doing this at any sort of scale. We certainly see pilots and proofs of concepts. We see some carriers in Europe farther down this path, but it's really it's really very new for us. A Z Think about these three horizons for insurance. So you know what's what's behind all this and what's behind. You know, the next powering of digital transformation and and we think at the end of the exercise, its data data will be the next engine that powers digital transformation. So in this exhibit, you know we see the three horizons across the top. You know, data is activated and activating digital transformation. And this, you know, this purple 3rd, 3rd road here is we think some of the foundational building blocks required to kind of get this right. But I think what's most important about about this this purple third bar here is the far right box, which is business adoption. Because you can build this infrastructure, you can have. You know, this great scalable cloud capability. Um, you can create a bunch of applications and intelligence, but unless it's adopted by the business, unless it's democratized, unless those insights and decisions air served up in the natural course of business, you're gonna have trouble really driving value. So that way, I think this is a really interesting time for data. We think this is kind of the next horizon to power the next age of digital transformation for insurance companies. With that brief prelude, I am, I'm honored. Thio, turn it over to Michael Stone Is the Cielo at CNN Insurance? >>Thanks, Jim, for that intro and very exciting Thio be here is part of part of beyond when I think a digital transformation within the context of insurance, actually look at it through the lens of competing in an era of near perfect information. So in order to be able to deliver all of the potential value that we talked about with regard to data and changing ecosystem and changing demands, the question becomes, How do you actually harness the information that's available to everybody to fundamentally change the business? So if you'll indulge me a bit here, let me tell you just a little bit more for those that don't know about insurance, what it really is. And I use a very long run on sentence to do that. It's a business model where capital is placed against risk in the form of products and associated services sold the customers through channels two companies to generate a return. Now, this sounds like a lot of other businesses in across multiple industries that were there watching today. But the difference within insurance is that every major word in that long run on sentence is changing sources of capital that we could draw on to be able to underwrite risk of going away. The nature of risk itself is changing from the perspective of policies that live six months to a year, the policies that could last six minutes. The products that we're creating are changing every day for our ability to actually put a satellite up in the air or ensure against the next pandemic. Our customers are not just companies or individuals, but they could be governments completely different entities than we would have been in sharing in the past and channels were changing. We sell direct, we sell through brokers and products are actually being embedded in other products. So you may buy something and not even know that insurance is a part of it. And what's most interesting here is the last word which is around return In the old world. Insurance was a cash flow business in which we could bring the premium in and get a level of interest income and being able to use that money to be able thio buffer the underwriting results that we would have. But those returns or dramatically reduced because of the interest income scenario, So we have to generate a higher rate of return. So what do we need to do? Is an insurance company in through this digital transformation to be able to get there? Well, fundamentally, we need to rethink how we're using information, and this is where thought spot and the cloud coming for us. We have two basic problems that we're looking to solve with information. The first one is information veracity. Do we believe it? When we get it? Can we actually trust it? Do we know what it means when we say that this is a policy in force or this is a new customer where this is the amount of attention or rate that we're going to get? Do we actually believe in that piece of data? The second is information velocity. Can we get it fast enough to be able to capitalize upon it? So in other words, we're We're working in a situation where the feedback loop is closing quickly and it's operating at a speed that we've never worked in before. So if we can't solve veracity and velocity, then we're never going to be able to get to where we need to go. So when we think of something like hot spot, what do we use it for? We use it to be able to put it in the hands of our business years so that they could ask the key questions about how the business is running. How much profit of my generating this month? What brokers do I need to talk? Thio. What is my rate retention? Look like what? The trends that I'm seeing. And we're using that mechanism not just to present nice visualizations, but to enable that really quick, dynamic question and answer and social, socially enabled search, which completely puts us in a different position of being able to respond to the market conditions. In addition, we're using it for pattern recognition. Were using it for artificial intelligence. We're gonna be capitalizing on the social aspect of of search that's that's enabled through thought spot and also connecting it into our advanced machine learning models and other capabilities that we currently have. But without it solving the two fundamental problems of veracity and velocity, we would be handicapped. So let me give you some advice about if I were in your position and you don't need to be in sleepy old industry like insurance to be able to do this, I'll leave you with three things. The first one is picking water holes so What are the things that you really want to be good at? What are the pieces of information that you really need to know more about? I mean, in insurance, its customers, it's businesses, locations, it's behavior. There are only a few water also really understand and pick those water holes that you're going to be really good at. The second is stand on the shoulders of giants. You know, in the world of technology, there's often a philosophy that says, Well, I can build it something better than somebody else create if I have it in house. But I'm happy to stand on the shoulders of giants like Thought Spot and Google and others to be able to create this capability because guess what? They're gonna out innovate any of the internal shops all day and every day. So don't be afraid. Thio. Stand side by side on the shoulders of giants as part of your journey. Unless you've got to build these organizations not just the technology for rapid experimentation and learning, because guess what? The moment you deliver insight, it begs another question, which also could change the business process, which could change the business model and If your organization the broader organization of business technology, analytics, customer service operations, etcetera is not built in a way that could be dynamic and flexible based on where the market is or is going, then you're gonna miss out on the opportunity. So again, I'm proud to be part of the fast black community. Really love the technology. And if if you look too, have the same kind of issues with your given industry about how you can actually speed up decision making, deliver insights and deliver this kind of search and recommended to use it. And with that, let's go to some questions. >>Awesome. Thank you so much, Michael and Jim for that in depth perspective and those tangible takeaways for our audience. We have a few minutes left and would love to ask a few questions. So here's the first one for Michael Michael. What are some of the most important things that you know now that you didn't know before you started this process? I think one of >>the things that's a great question. I think one of the things that really struck me is that, you know, traditional thinking would be very use case centric or pain point centric Show me, uh, this particular model or a particular question you want me to answer that can build your own analytics to do that or show me a deficiency in the system and I can go and develop a quick head that will do well, then you know, wallpaper over that particular issue. But what we've really learned is the foundation matters. So when we think about building things is building the things that are below the waterline, the pipes and plumbing about how you move data around how the engines work and how it all connects together gives you the above the waterline features that you could deliver to. You know, your employees into your customers much faster chasing use cases across the top above the waterline and ignoring what's below the water line to me. Is it really, uh, easy recipe too quick? Get your way to nothing. So again, focus on the foundation bill below the water line and then iterated above the water line that z what the lessons we've learned. It has been very effective for us. >>I think that's a very great advice for all those watching today on. But Here's one for Jim. Jim. What skills would you say are required for teams to truly adopt this digital transformation process? >>Yeah, well, I think that's a really good question, and I think I'd start with it's It's never one. Well, our experience has shown us number a one person show, right? So So we think to kind of drive some of the value that that that Michael spoke about. We really looked across disciplinary teams, which is a an amalgamation of skills and and team members, right? So if you think about the data science skills required, just kinda under under understand how toe toe work with data and drive insights, Sometimes that's high end analytic skills. Um, where you gonna find value? So some value architectural skills Thio really articulate, you know, Is this gonna move the needle for my business? I think there's a couple of critical critical components of this team. One is, you know, the operation. Whatever. That operation maybe has to be embedded, right, because they designed this is gonna look at a piece of data that seems interesting in the business Leader is going to say that that actually means nothing to me in my operation. So and then I think the last the last type of skill would be would be a data translator. Um, sitting between sometimes the technology in the business so that this amalgamation of skills is important. You know, something that Michael talked about briefly that I think is critical is You know, once you deliver insight, it leads to 10 more questions. So just in a intellectual curiosity and an understanding of, you know, if I find something here, here, the implications downstream from my business are really important. So in an environment of experimenting and learning thes thes cross discipline teams, we have found to be most effective. And I think we thought spot, you know, the platform is wired to support that type of analysis and wired to support that type of teaming. >>Definitely. I think that's though there's some really great skills. That's for people to keep in mind while they are going through this process. Okay, Michael, we have another question for you. What are some of the key changes you've had to make in your environment to make this digital transformation happen? >>That's a great question. I think if you look at our environment. We've got a mixture of, you know, space agent Stone age. We've got old legacy systems. We have all sorts of different storage. We have, you know, smatterings of things that were in cloud. The first thing that we needed to do was make a strong commitment to the cloud. So Google is our partner for for the cloud platform on unabashedly. The second thing that we needed to dio was really rethink the interplay between analytics systems in operational systems. So traditionally, you've got a large data warehouses that sit out over here that, you know, we've got some kind of extract and low that occurs, and we've got transactional operational systems that run the business, and we're thinking about them very differently from the perspective of bringing them together. How Doe I actually take advantage of data emotion that's in the cloud. So then I can actually serve up analytics, and I can also change business process as it's happening for the people that are transacting business. And in the meantime, I can also serve the multiple masters of total cost and consumption. So again, I didn't applications are two ships that pass in the night and never be in the world of Sienna. When you look at them is very much interrelated, especially as we want to get our analytics right. We want to get our A i m all right, and we want to get operational systems right By capturing that dated motion force across that architecture er that was an important point. Commit to the cloud, rethink the way we think analytics systems, work and operational systems work and then move them in tandem, as opposed to doing one without the other one in the vacuum. >>That's that's great advice, Michael. I think it's very important those key elements you just hit one question that we have final question we have for Jim. Jim, how do you see your client sustain the benefits that they've gained through this process? >>Yeah, it's a really good question. Um, you know, I think about some of the major themes around around beyond right, data fluency is one of them, right? And as I think about fluency, you only attain fluency through using the language every single day. They were day, week, over week, month over month. So you know, I think that applies to this. This problem too. You know, we see a lot of clients have to change probably two things at the same time. Number one is mindset, and number two is is structure. So if you want to turn these data projects from projects into processes, right, so so move away from spinning up teams, getting getting results and winding down. You wanna move away from that Teoh process, which is this is just the way working for these teams. Um, you have to change the mindset and often times you have to marry that with orb structure change. So So I'm gonna spin up these teams, but this team is going to deliver a set of insights on day. Then we're gonna be continuous improvement teams that that persist over time. So I think this shifting from project teams to persistent teams coupled with mindset coupled with with or structure changed, you know, a lot of times has to be in place for a period of time to get to get the fluency and achieve the fluency that that most organizations need. >>Thanks, Jim, for that well thought out answer. It really goes to show that the transformation process really varies when it comes to organizations, but I think this is a great way to close out today's track. I like to think Jim, Michael, as well as all the experts that you heard earlier today for sharing. There's best practice as to how you all can start transforming your organization's by building a data fluent culture, Um, and really empowering your employees to understand what data means and how to take actions with it. As we wrap up and get ready for the next session, I'd like to leave you all with just a couple of things. Number one if you miss anything or would like to watch any of the other tracks. Don't worry. We have everything available after this event on demand number two. If you want to ask more questions from the experts that you heard earlier today, you have a chance to do so. At the Meet The Experts Roundtable, make sure to attend the one for track four in cultivating a data fluent culture. Now, as we get ready for the product roadmap, go take a sip of water. This is something you do not want to miss. If you love what you heard yesterday, you're gonna like what you hear today. I hear there's some type of Indiana Jones theme to it all, so I won't say anything else, but I'll see you there.
SUMMARY :
best practices that you can apply to build that data flew into culture in your organization So if you think about your customer data, So in order to be able to deliver all of the potential value that we talked about with regard to data that you know now that you didn't know before you started this process? the above the waterline features that you could deliver to. What skills would you say are required for teams And I think we thought spot, you know, the platform is wired to What are some of the key changes you've had to make in your environment to make this digital transformation I think if you look at our environment. Jim, how do you see your client sustain the benefits that they've gained through this process? So I think this shifting from project teams to persistent teams coupled There's best practice as to how you all can start transforming
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Harnessing the Power of Sound for Nature – Soundscape Ecological Research | Exascale Day 2020
>> From around the globe, it's theCUBE, with digital coverage of Exascale Day. Made possible by Hewlett Packard Enterprise. >> Hey, welcome back everybody Jeff Frick here with theCUBE. We are celebrating Exascale Day. 10, 18, I think it's the second year of celebrating Exascale Day, and we're really excited to have our next guest and talk about kind of what this type of compute scale enables, and really look a little bit further down the road at some big issues, big problems and big opportunities that this is going to open up. And I'm really excited to get in this conversation with our next guest. He is Bryan Pijanowski the Professor of Landscape and Soundscape Ecology at Purdue University. Bryan, great to meet you. >> Great to be here. >> So, in getting ready for this conversation, I just watched your TED Talk, and I just loved one of the quotes. I actually got one of quote from it that's basically saying you are exploring the world through sound. I just would love to get a little deeper perspective on that, because that's such a unique way to think about things and you really dig into it and explain why this is such an important way to enjoy the world, to absorb the world and think about the world. >> Yeah, that's right Jeff. So the way I see it, sound is kind of like a universal variable. It exists all around us. And you can't even find a place on earth where there's no sound, where it's completely silent. Sound is a signal of something that's happening. And we can use that information in ways to allow us to understand the earth. Just thinking about all the different kinds of sounds that exist around us on a daily basis. I hear the birds, I hear the insects, but there's just a lot more than that. It's mammals and some cases, a lot of reptiles. And then when you begin thinking outside the biological system, you begin to hear rain, wind, thunder. And then there's the sounds that we make, sounds of traffic, the sounds of church bells. All of this is information, some of it's symbolic, some of it's telling me something about change. As an ecologist that's what I'm interested in, how is the earth changing? >> That's great and then you guys set up at Purdue, the Purdue Center for Global Soundscapes. Tell us a little bit about the mission and some of the work that you guys do. >> Well, our mission is really to use sound as a lens to study the earth, but to capture it in ways that are meaningful and to bring that back to the public to tell them a story about how the earth kind of exists. There's an incredible awe of nature that we all experience when we go out and listen into to the wild spaces of the earth. I've gone to the Eastern Steppes of Mongolian, I've climbed towers in the Paleotropics of Borneo and listened at night. And ask the question, how are these sounds different? And what is a grassland really supposed to sound like, without humans around? So we use that information and bring it back and analyze it as a means to understand how the earth is changing and really what the biological community is all about, and how things like climate change are altering our spaces, our wild spaces. I'm also interested in the role that people play and producing sound and also using sound. So getting back to Mongolia, we have a new NSF funded project where we're going to be studying herders and the ways in which they use sonic practices. They use a lot of sounds as information sources about how the environment is changing, but also how they relate back to place and to heritage a special sounds that resonate, the sounds of a river, for example, are the resonance patterns that they tune their throat to that pay homage to their parents that were born at the side of that river. There's these special connections that people have with place through sound. And so that's another thing that we're trying to do. In really simple terms, I want to go out and, what I call it sounds rather simple, record the earth-- >> Right. >> What does that mean? I want to go to every major biome and conduct a research study there. I want to know what does a grassland sound like? What is a coral reef sound like? A kelp forest and the oceans, a desert, and then capture that as baseline and use that information-- >> Yeah. >> For scientific purposes >> Now, there's so much to unpack there Bryan. First off is just kind of the foundational role that sound plays in our lives that you've outlined in great detail and you talked about it's the first sense that's really activated as we get consciousness, even before we're born right? We hear the sounds of our mother's heartbeat and her voice. And even the last sense that goes at the end a lot of times, in this really intimate relationship, as you just said, that the sounds represent in terms of our history. We don't have to look any further than a favorite song that can instantly transport you, almost like a time machine to a particular place in time. Very, very cool. Now, it's really interesting that what you're doing now is taking advantage of new technology and just kind of a new angle to capture sound in a way that we haven't done before. I think you said you have sound listening devices oftentimes in a single location for a year. You're not only capturing sound, the right sound is changes in air pressure, so that you're getting changes in air pressure, you're getting vibration, which is kind of a whole different level of data. And then to be able to collect that for a whole year and then start to try to figure out a baseline which is pretty simple to understand, but you're talking about this chorus. I love your phrase, a chorus, because that sound is made up of a bunch of individual inputs. And now trying to kind of go under the covers to figure out what is that baseline actually composed of. And you talk about a bunch of really interesting particular animals and species that combine to create this chorus that now you know is a baseline. How did you use to do that before? I think it's funny one of your research papers, you reach out to the great bird followers and bird listeners, 'cause as you said, that's the easiest way or the most prolific way for people to identify birds. So please help us in a crowdsource way try to identify all the pieces that make this beautiful chorus, that is the soundscape for a particular area. >> Right, yeah, that's right. It really does take a team of scientists and engineers and even folks in the social sciences and the humanities to really begin to put all of these pieces together. Experts in many fields are extremely valuable. They've got great ears because that's the tools that they use to go out and identify birds or insects or amphibians. What we don't have are generalists that go out and can tell you what everything sounds like. And I'll tell you that will probably never ever happen. That's just way too much, we have millions of species that exist on this planet. And we just don't have a specific catalog of what everything sounds like, it's just not possible or doable. So I need to go out and discover and bring those discoveries back that help us to understand nature and understand how the earth is changing. I can't wait for us to eventually develop that catalog. So we're trying to develop techniques and tools and approaches that allow us to develop this electronic catalog. Like you're saying this chorus, and it doesn't necessarily have to be a species specific chorus, it can be a chorus of all these different kind of sounds that we think relate back to this kind of animal or that kind of animal based upon the animals instrument-- >> Right, great. >> And this is the sound. >> Now again, you know, keep it to the exascale theme, right? You're collecting a lot of data and you mentioned in one of the pieces I've dug up, that your longest study in a single location is 17 years. You've got over 4 million recordings. And I think you said over 230 years if you wanted to listen to them all back to back. I mean, this is a huge, a big data problem in terms of the massive amount of data that you have and need to run through an analysis. >> Yeah, that's right. We're collecting 48,000 data points per second. So that's 48 kilohertz. And then so you multiply everything and then you have a sense of how many data points you actually have to put them all together. When you're listening to a sound file over 10 minutes, you have hundreds of sounds that exist in them. Oftentimes you just don't know what they are, but you can more or less put some kind of measure on all of them and then begin to summarize them over space and time and try to understand it from a perspective of really science. >> Right, right. And then I just love to get your take as you progress down this kind of identification road, we're all very familiar with copyright infringement hits on YouTube or social media or whatever, when it picks up on some sound and the technology is actually really sophisticated to pick up some of those sound signatures. But to your point, it's a lot easier to compare against the known and to search for that known. Then when you've got this kind of undefined chorus that said we do know that there can be great analysis done that we've seen AI and ML applied, especially in the surveillance side on the video-- >> Right. >> With video that it can actually do a lot of computation and a lot of extracting signal from the noise, if you will. As you look down the road on the compute side for the algorithms that you guys are trying to build with the human input of people that know what you're listening to, what kind of opportunities do you see and where are we on that journey where you can get more leverage out of some of these technology tools? >> Well, I think what we're doing right now is developing the methodological needs, kind of describe what it is we need to move into that new space, which is going to require these computational, that computational infrastructure. So, for example, we have a study right now where we're trying to identify certain kinds of mosquitoes (chuckling) a vector-borne mosquitoes, and our estimates is that we need about maybe 900 to 1200 specific recordings per species to be able to put it into something like a convolutional neural network to be able to extract out the information, and look at the patterns and data, to be able to say indeed this is the species that we're interested in. So what we're going to need and in the future here is really a lot of information that allow us to kind of train these neural networks and help us identify what's in the sound files. As you can imagine the computational infrastructure needed to do that for data storage and CPU, GPU is going to be truly amazing. >> Right, right. So I want to get your take on another topic. And again the basis of your research is really all bound around the biodiversity crisis right? That's from the kind of-- >> Yeah. >> The thing that's started it and now you're using sound as a way to measure baseline and talk about loss of species, reduced abundancies and rampant expansion of invasive species as part of your report. But I'd love to get your take on cities. And how do you think cities fit the future? Clearly, it's an efficient way to get a lot of people together. There's a huge migration of people-- >> Right. >> To cities, but one of your themes in your Ted Talk is reconnecting with nature-- >> Yeah. >> Because we're in cities, but there's this paradox right? Because you don't want people living in nature can be a little bit disruptive. So is it better to kind of get them all in a tip of a peninsula in San Francisco or-- >> Yeah. >> But then do they lose that connection that's so important. >> Yeah. >> I just love to get your take on cities and the impacts that they're have on your core research. >> Yeah, I mean, it truly is a paradox as you just described it. We're living in a concrete jungle surrounded by not a lot of nature, really, honestly, occasional bird species that tend to be fairly limited, selected for limited environments. So many people just don't get out into the wild. But visiting national parks certainly is one of those kinds of experience that people oftentimes have. But I'll just say that it's getting out there and truly listening and feeling this emotional feeling, psychological feeling that wraps around you, it's a solitude. It's just you and nature and there's just no one around. >> Right. >> And that's when it really truly sinks in, that you're a part of this place, this marvelous place called earth. And so there are very few people that have had that experience. And so as I've gone to some of these places, I say to myself I need to bring this back. I need to tell the story, tell the story of the awe of nature, because it truly is an amazing place. Even if you just close your eyes and listen. >> Right, right. >> And it, the dawn chorus in the morning in every place tells me so much about that place. It tells me about all the animals that exist there. The nighttime tells me so much too. As a scientist that's spent most of his career kind of going out and working during the day, there's so much happening at night. Matter of fact-- >> Right. >> There's more sounds at night than there were during the day. So there is a need for us to experience nature and we don't do that. And we're not aware of these crises that are happening all over the planet. I do go to places and I listen, and I can tell you I'm listening for things that I think should be there. You can listen and you can hear the gaps, the gaps and that in that chorus, and you think what should be there-- >> Right. >> And then why isn't it there? And that's where I really want to be able to dig deep into my sound files and start to explore that more fully. >> It's great, it's great, I mean, I just love the whole concept of, and you identified it in the moment you're in the tent, the thunderstorm came by, it's really just kind of changing your lens. It's really twisting your lens, changing your focus, because that sound is there, right? It's been there all along, it's just, do you tune it in or do you tune it out? Do you pay attention? Do not pay attention is an active process or a passive process and like-- >> Right. >> I love that perspective. And I want to shift gears a little bit, 'cause another big environmental thing, and you mentioned it quite frequently is feeding the world's growing population and feeding it-- >> Yeah. >> In an efficient way. And anytime you see kind of factory farming applied to a lot of things you wonder is it sustainable, and then all the issues that come from kind of single output production whether that's pigs or coffee or whatever and the susceptibility to disease and this and that. So I wonder if you could share your thoughts on, based on your research, what needs to change to successfully and without too much destruction feed this ever increasing population? >> Yeah, I mean, that's one of the grand challenges. I mean, society is facing so many at the moment. In the next 20 years or so, 30 years, we're going to add another 2 billion people to the planet, and how do we feed all of them? How do we feed them well and equitably across the globe? I don't know how to do that. But I'll tell you that our crops and the ecosystem that supports the food production needs the animals and the trees and the microbes for the ecosystem to function. We have many of our crops that are pollinated by birds and insects and other animals, seeds need to be dispersed. And so we need the rest of life to exist and thrive for us to thrive too. It's not an either, it's not them or us, it has to be all of us together on this planet working together. We have to find solutions. And again, it's me going out to some of these places and bringing it back and saying, you have to listen, you have to listen to these places-- >> Right. >> They're truly a marvelous. >> So I know most of your listening devices are in remote areas and not necessarily in urban areas, but I'm curious, do you have any in urban areas? And if so, how has that signature changed since COVID? I just got to ask, (Bryan chuckling) because we went to this-- >> Yeah. >> Light switch moment in the middle of March, human activity slowed down-- >> Yeah. >> In a way that no one could have forecast ever on a single event, globally which is just fascinating. And you think of the amount of airplanes that were not flying and trains that we're not moving and people not moving. Did you have any any data or have you been able to collect data or see data as the impact of that? Not only directly in wherever the sensors are, but a kind of a second order impact because of the lack of pollution and the other kind of human activity that just went down. I mean, certainly a lot of memes (Bryan chuckling) on social media of all the animals-- >> Yeah. >> Come back into the city. But I'm just curious if you have any data in the observation? >> Yeah, we're part of actually a global study, there's couple of hundred of us that are contributing our data to what we call the Silent Cities project. It's being coordinated out of Europe right now. So we placed our sensors out in different areas, actually around West Lafayette area here in Indiana, near road crossings and that sort of thing to be able to kind of capture that information. We have had in this area here now, the 17 year study. So we do have studies that get into areas that tend to be fairly urban. So we do have a lot of information. I tell you, I don't need my sensors to tell me something that I already know and you suspect is true. Our cities were quiet, much quieter during the COVID situation. And it's continued to kind of get a little bit louder, as we've kind of released some of the policies that put us into our homes. And so yes, there is a major change. Now there have been a couple of studies that just come out that are pretty interesting. One, which was in San Francisco looking at the white-crowned sparrow. And they looked at historical data that went back something like 20 years. And they found that the birds in the cities were singing a much softer, 30% softer. >> Really? >> And they, yeah, and they would lower their frequencies. So the way sound works is that if you lower your frequencies that sound can travel farther. And so the males can now hear themselves twice as far just due to the fact that our cities are quieter. So it does have an impact on animals, truly it does. There was some studies back in 2001, during the September, the 9/11 crisis as well, where people are going out and kind of looking at data, acoustic data, and discovering that things were much quieter. I'd be very interested to look at some of the data we have in our oceans, to what extent are oceans quieter. Our oceans sadly are the loudest part of this planet. It's really noisy, sound travels, five times farther. Generally the noise is lower frequencies, and we have lots of ships that are all over the planet and in our oceans. So I'd really be interested in those kinds of studies as well, to what extent is it impacting and helping our friends in the oceans. >> Right, right, well, I was just going to ask you that question because I think a lot of people clearly understand sound in the air that surrounds us, but you talk a lot about sound in ocean, and sound as an indicator of ocean health, and again, this concept of a chorus. And I think everybody's probably familiar with the sounds of the humpback whale right? He got very popular and we've all seen and heard that. But you're doing a lot of research, as you said, in oceans and in water. And I wonder if you can, again, kind of provide a little bit more color around that, because I don't think you people, maybe we're just not that tuned into it, think of the ocean or water as a rich sound environment especially to the degree as you're talking about where you can actually start to really understand what's going on. >> Yeah, I mean, some of us think that sound in the oceans is probably more important to animals than on land, on the terrestrial side. Sound helps animals to navigate through complex waterways and find food resources. You can only use site so far underwater especially when it gets to be kind of dark, once you get down to certain levels. So there many of us think that sound is probably going to be an important component to measuring the status of health in our oceans. >> It's great. Well, Bryan, I really enjoyed this conversation. I've really enjoyed your Ted Talk, and now I've got a bunch of research papers I want to dig into a little bit more as well. >> Okay.(chuckling) >> It's a fascinating topic, but I think the most important thing that you talked about extensively in your Ted Talk is really just taking a minute to take a step back from the individual perspective, appreciate what's around us, hear, that information and I think there's a real direct correlation to the power of exascale, to the power of hearing this data, processing this data, and putting intelligence on that data, understanding that data in a good way, in a positive way, in a delightful way, spiritual way, even that we couldn't do before, or we just weren't paying attention like with what you know is on your phone please-- >> Yeah, really. >> It's all around you. It's been there a whole time. >> Yeah. (both chuckling) >> Yeah, Jeff, I really encourage your viewers to count it, just go out and listen. As we say, go out and listen and join the mission. >> I love it, and you can get started by going to the Center for Global Soundscapes and you have a beautiful landscape. I had it going earlier this morning while I was digging through some of the research of Bryan. (Bryan chuckling) Thank you very much (Bryan murmurs) and really enjoyed the conversation best to you-- >> Okay. >> And your team and your continued success. >> Alright, thank you. >> Alright, thank you. All right, he's Bryan-- >> Goodbye. >> I'm Jeff, you're watching theCUBE. (Bryan chuckling) for continuing coverage of Exascale Day. Thanks for watching. We'll see you next time. (calm ambient music)
SUMMARY :
From around the globe, it's theCUBE, And I'm really excited to and I just loved one of the quotes. I hear the birds, I hear the insects, and some of the work that you guys do. and analyze it as a means to understand A kelp forest and the oceans, a desert, And then to be able to and even folks in the social amount of data that you have and then you have a sense against the known and to for the algorithms that you and our estimates is that we need about And again the basis of your research But I'd love to get your take on cities. So is it better to kind of get them all that connection that's I just love to get your take on cities tend to be fairly limited, And so as I've gone to the dawn chorus in the and you think what should be there-- to explore that more fully. and you identified it in the and you mentioned it quite frequently a lot of things you for the ecosystem to function. of all the animals-- Come back into the city. that tend to be fairly urban. that are all over the planet going to ask you that question to be kind of dark, and now I've got a It's been there a whole time. Yeah. listen and join the mission. the conversation best to you-- and your continued success. Alright, thank you. We'll see you next time.
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Soni Jiandani, Pensando | Future Proof Your Enterprise 2020
>>from the Cube >>Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>I am stupid, man. And welcome to a cube conversation. Really? Please welcome back to the program. One of our Cube alumni, Sony, Ge and Donnie. She is a co founder and also the business off of pensando. Tony, thanks so much for joining us. >>I thank you for having me here. >>All right. So, Sonny, we've had you on the program a few times. You know, those that have watched the program or followed your career? You've had a story career. You know, I've worked with you as a partner back through some of the spinning disk. You're one of the mpls group. And now, of course, Pensando we helped launch towards the end of 2019. I just want to take a step back and, you know, understand, You know, how did you find yourself in the startup world? >>You know, I got involved with startup ventures as part of the Mpls team. This is going back now. Gosh, 20 years ago, in calendar year 2000 my first venture was with Andy ammo. It was a very unique situation that Mario look up on myself or part of a set up on a startup venture. But all four of us, the Mpls group, did not have any equity in it. Look, and I basically what asked to operate within the with that venture to ensure its ultimate success from a product execution on the go to market perspective? Ah, lot of those elements did not exist from a go to market perspective in Cisco at that time, and it was basically a ground up effort for look and me to not have any financial association with the outcome off the Andy, um, a venture, but at the same time, take on the responsibility from the execution perspective and building up the whole go to market. >>Yeah, so, you know, talking about that these startups, you've been apart of two things. First of all, you were part of and, ya know, you ova in CNI. So did you need to learn Italian to be part of these projects? But more importantly, how did how did you work on that? You know, product customer fit, understanding what the build and, you know, you talk about right How do you make some things that festival? It is super challenging. >>Yeah, well, first and foremost, I think I've been fortunate in that the group that we're all part off it is definitely Italian Indian. And some folks, like from Indiana, for example, like Randy Pond, who is part of this venture with us at Pensando. If I if I would go back and take a look at the simple formula, I mean Mario look, and from, ah, they're veterans in this industry. And they typically focused on the conceiving off the idea and the brought up, uh, and starting with a clean slate approach. Of course, I participate from a market validation development, competitive landscape on a business on all related aspects, bringing the product to market on how that maps into customers and partners what we have consistently focused on market disruption. Particularly for the last two decades, the biggest focus has been on what are the market transitions occurring both from a business and a technology perspective on that is ultimately what creates the opportunity to emerge on and drive these concepts into reality and what yourself, in a market leadership position, is to capture the transition at the right time. >>Yeah, I think back. You know, some of your previous ventures and understand, you know, some of the waves of technologies coming together sometimes the maturity of a technology or being able to take advantage of something new to talk specifically about. Pensando what are you know, those waves of change and the technology coming together that makes the opportunity that you're in today? >>Well, I mean, if you go back and you take a look at really what has been exciting about this pensando opportunity has been to look at the unique ability that have been coming upon us. You know, with this market transition where the cloud is moving to the edge, what is ultimately driving this movement to the edge has been the application. Uh, the applications is is you know, whether it's driven by technology trends like five G, for example. Ah, and and the fact that bulk off what the customer's data is being driven is going to be at the edge. That when when you look at the cloud moving to the edge and evolving that with the transitions occurring, ah, this will require deep innovation. Deep innovation in the areas of distributed network processing security, like encryption, full observe ability while you have turned on encryption, traffic engineering and doing it at very low, predictable agency at the speeds of 100 gig and above all, doing it on a small footprint. We were really the only guys and gals who could do this. And we have done it, >>Yeah, so certainly some really big challenges that they laid out there bring >>us inside >>a little bit. You know, customers. You know, I think about, you know, when I've been watching edge computing for the last three or four years. Uh, you know, it's still relatively early days for customers, but there's a lot of technical challenges there, So help us understand how much you know it was you had technology that could help solve something and how much it is driven by some of the customers that you've been talking to over the years >>Now. One of the key things that we learned and this was going back to the early days of Cisco is that everything we were doing, we had the customer at the center off and at the heart off what innovation we were building from an engineering perspective. You want to build things that can have the most impact in the marketplace and within your customer base. So, uh, one of the early times we went back, who do getting our customers involved in the innovations we were bringing to bear. I still have recollections off a blueprint that we had iterated upon, uh, and sitting in a room, whether it was with the likes of Josh Matthew at Goldman Sachs all whether it was with some of our early cloud customers like the Oracle Cloud, to better understand with these innovation and these blueprints, what were their burning problems? What were they used, cases that we could really go and tackle? So it is one thing to think about market destructions. It's another to bring it to life and having customers engaged with you during the early phases. Off as you are incubating, something is a very important item because it helps you focus your biggest energy on the areas so that you can put your arms around what problems are worth solving. And how can you bring that to life with with customers? Use case. And this is something we have done time and over again. So this is a constant refinement off what we have been doing now for now, to over two decades. As I said, >>Yeah, it's, you know, fascinating here. And when you've got the chief business officer idle, Sony, You know, one of the biggest changes, obviously, is if I look back in the spin ins, you kind of understood how to go to market was what was involved the, you know, the Cisco execution machine that the sales process that they had in plug in a product, that they would help. All right, what you're doing now, you've got some, you know, feel, William partnerships. You have relationship with customers, help us understand a little bit. You know the update on the go to market, how you have. I have a solution that fits for not only the end users, but through multiple different, uh, you know, go to market partners. >>So I think it's, you know, it's very important that as a startup we stay very close to our customers and apart, not just men. We are thinking about what the innovation is and how can it solve their problems. But I think in a world where the way we want to go solve for what? The customer where we want the customer, where our customers want us to be our partnerships is a core part of it. I mean, if you look at from the early days we secured successfully funding from our customers and our strategic partners and it is these customers and strategic partners that are shaping the roadmap on are shaping the routes to market on. What we're doing is we're successfully not only delivering the product, so these strategic customers and partners, but we're also then replicating it across the verticals. If you think about in the enterprise space, our focus has been the focus on regulated market markets where security is essential. Real time, observe ability that can increase your security posture is a very important element. So taking the blueprints that we're taking into global financial services customers, the healthcare industry, the the education market on the federal market, then those are the industries that really care about, and I in regulated markets where we can take the blueprint that we have already built on an amplify across those customers. So there again includes alignment and a partnership with HP. We're working very closely that, while recognizing that we will be doing strategic elements only with partners like HP, we're also on boarding and getting certifications done with Dell because most enterprises have at least dual source vendors from a server, so that that is one aspect. The other aspect is working in a high touch model with the cloud customers and having the opportunity to deliver to them Ah, and onboard them from a production worthy perspective while taking that same blueprint and applying it to other cloud customers and other service provider edge providers that can take advantage of the similar capability. >>Yeah, um, I'm curious. Sony, you know, obviously, the cloud is a space that has been going through a lot of change and accelerating. You know, I'd say much faster than traditional networking did. So you know, curious what you see what you're hearing from customers when they talk about you know, their needs for your solution, what they're doing with multi cloud environment. What is that? That landscape you. And I guess we would love to hear a little bit about how you would compare and contrast yourself. The other solutions out there the one that comes to mind, of course, is you know, eight of us what they're doing with the Annapurna chip in there nitro offering as part of their out. >>You know, as I mentioned earlier, I think the cloud is pushing to the edge. There's a high demand for a lot of packet processing needs with these New Age applications. Customers want to build on and give the you know, we want to be in a position to provide through the democratization and open availability off our products to multiple cloud providers, our technology and as they are experiencing tremendous growth, they're seeking to build cloud with more capacity, with greater degree off security and services functionality. And the ability to process a lot of data at the edge is with millions of simultaneous connections happening at a very small footprint. And that's where we come in. The value that we are essentially providing who not only the existing cloud strategic partners but additional cloud customers we're taking into production this year is that we are enabling them to leapfrog the nitro technology on multiple, whether it is the ability to ah have predictably low latency on and consistently low jitter in the nanoseconds. That is the eight times superior than what a nitro can do today, or the ability to pack their toe process up to nine times more backend processes in the millions of on the ability to do it in a power footprint, which is almost 1/3 that of what you would need on AWS nitro, where they need five times more nitro elements than then we can with a single device, Um, or whether it is the ability now to handle not just power and latency, but millions off flows that can run simultaneously on maintaining the state of all of those and the power of the end, the ability to run multiple services. Uh, with security turned on at the same time are all elements that really differentiate us on. This technology is now readily available to all of us. >>All right, so I understand some of the technical issue items that you're stating there. What I'm curious about is when I look at out both, most customers don't really think about the night. It's that Amazon's providing an extension of their solution into my environment, and they manage everything and so you know, you can't talk about multi cloud environment without talking about Amazon is every customer almost everything right? More than one cloud in one of them is almost always Amazon, though. How does your solution fit into that whole discussion? And then? >>So I think that, you know, one of the things that becomes very important is that if I put my customer enterprise customer hat on, I want to be an enabling my private cloud the private cloud that I build. You have the ability to not just have the option to the port and Amazon cloud, but I typically already and minimal child and barn. So while Outpost and Nitro Nitrogen really enabling, are supposed to deliver those services on our customer's premises, it's only allowing that customer to be locked into one way off dealing with one public cloud company. But if I had to go and think about as I build out my hybrid cloud strategy as an enterprise customer, I want to have the same building blocks on the same policy models that are consistent with all the with the entire dress off cloud vendors that I'm dealing with. The bulk of our customers are essentially telling us I don't want to be locked into a single public cloud company from a hybrid strategy. I want to have the ability to drive a public, private cloud architect that is cloud like from a policy delivery perspective. But at the same time, I want to have the flexibility off deploying a multi cloud and BART, and what we would provide them is the consistency off that same policy model that you would only find in a public cloud with the freedom to not have to buy themselves or lock themselves up into a single public cloud costs. >>So your team, you said, over two decades of experience, there have been some global impacts that have happened during that you got together in 2000. 2001 was right there in front of you that the 2008 you know, down in there, though you're in 2020 obviously the global endemic, as you know, broad financial ripples. How's this impacting Dondo? How's that impacting your discussions with your partners and your customers? >>Well, you know, honestly, I would say that we, like everyone else, have been affected by the pandemic, and we pray that everyone recovers soon with minimum lost to themselves and their families. And this is something very personal. This is here. I feel very passionate about hoping that everybody comes through with this on and their families are all OK. That's all the most important thing in my mind now for us, from a pandemic perspective. What this has done is it has made us more resolute to continue to execute remotely to the best of our ability to meet our customers. Expectations. The advice that I would give to other startups is Keep your head down. Focus on the 80 20 rule, execute on 20% of the things that need to be done, that we'll have 80% of the impact to your business, including undeterred product execution. Stay close to your customers and your partners. Spend your cash judiciously. You know, be very careful on where you're spending your money to make it last. As long as you can ride this pandemic out and double down on being close to your partners and customers. Fortify your sales plans. Meet your customers where they are not where you thought they were, but where they really are and partner with them on this journey and partner with your supply chain. You're going to need that. So this is your time to really be a partner to them, as opposed to see how can you change them? No, no. The really partner with your supply chain Because you're gonna need that. >>Yeah, that's a very sound advice there, Sony. While we're talking advice that, you know, you're very successful career, I'm wondering what advice you would give the other women look at pursuing careers. In fact, specifically, if you know they wanted, you know, start a startup, be a founder, whether that in Silicon Valley or outside, what advice would >>you know? My advice would be to have an undeterred focus. Focus is extremely important. Look, I used to always remind me, Sony, when you're focused on two things, you're d focus. So focus on data. Focus, be driven. Believe in the vision that you have set out for yourself and your team on and keep your eye on the customer. I think in customers successful on your success. That's the message I would give. I would give that same message. My female and the male colleagues. >>Alright, well, we know that you and your team. Sony are very focused, so I'll give you the final word. Gives a little look forward if we go forward. You know, 18 to 24 months. What should we be expecting to see from PENSANDO and your solution? >>Well, in the next 18 to 24 months, we would like to meet and hopefully also exceed our customer's expectation in terms of product execution and the ramp off course. Profitability will be a very important aspect that we're going to keep a very close eye. I think it's too early to be thinking of an ideal, and our focus remains to be on customer success. We have been in the market for a little over. I was a little less than six months. Ah, with the product, September 2019 October 2019 is really when we launched the company on and, uh, the customer always is at the center of everything we do. So that's where we're gonna be focusing on product execution and ramp ramp off product, ramp off estimates. >>Well, so needy. And Dani, it's a pleasure to catch up with you. Thank you so much in the state. >>Thank you. You too. >>Alright. Be sure to check out the cube dot net for all the interviews, you can go see the launch videos that did at go back office in New York City from 2019. If you go to the cube dot net and many more interviews from Sony and her team, I'm stew Minimum. And thank you for watching you. Yeah, yeah, yeah, yeah, yeah.
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Studios in Palo Alto and Boston connecting with thought leaders all around the world. She is a co founder and also the business off of pensando. I just want to take a step back and, you know, understand, You know, how did you find yourself in the startup You know, I got involved with startup ventures as part of the Mpls team. the build and, you know, you talk about right How do you make some things that festival? bringing the product to market on how that maps into customers and partners what Pensando what are you know, those waves of change and the technology Uh, the applications is is you know, whether it's driven by technology trends You know, I think about, you know, when I've been watching edge computing for the last three It's another to bring it to life and having customers engaged with you during You know the update on the go to market, how you have. So I think it's, you know, it's very important that as a startup we stay very close to our And I guess we would love to hear a little bit about how you would compare the ability to do it in a power footprint, which is almost 1/3 that of what you would need on into my environment, and they manage everything and so you know, So I think that, you know, one of the things that becomes very important is that if I the 2008 you know, down in there, though you're in 2020 obviously the global endemic, of the things that need to be done, that we'll have 80% of the impact to your business, you know, you're very successful career, I'm wondering what advice you Believe in the vision that you have set out for yourself and Alright, well, we know that you and your team. Well, in the next 18 to 24 months, we would like to meet and hopefully also exceed our customer's And Dani, it's a pleasure to catch up with you. You too. Be sure to check out the cube dot net for all the interviews, you can go see the launch
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Arin Bhowmick, IBM | IBM Think 2020
>>Yeah, >>from the Cube Studios in Palo Alto and Boston. It's the Cube covering IBM. Think brought to you by IBM. >>Welcome back to IBM. Think 2020. The global experience. My name, Stupid man. And happy to welcome to the program. Aaron Bobick, who is the vice president and chief design officer for the IBM Cloud Data and AI portfolios. Thank you so much for joining us. >>Thank you, Steven. Great to >>be here. Alright. So I always love talking to design people. My background is engineering. I said on the Cube a couple of times I feel they didn't really teach us in school enough about design. We all know on the consumer side, when you have >>a >>phenomenal technology and beautiful designed together, it's an amazing experience. So you've got a brought purview. You've had a very diverse background. Help us understand. You know what a chief design office they're across, you know, cloud and Data and ai is responsible for >>so in a in a just my job is to really ensure that we design and develop usable and meaningful experiences for our users. Finds customers and partners in the little mawf cloud in the eye both evolving technologies. Um, adoption challenges here and there, and our job is to simplify >>the complex and the network. Okay, that's awesome. You know, I think back, you know, early web days, you know, we were happy if we just had a u I let alone Didn't think about the ux experience there. So you know, what are some of the important things? You know, what? What's IBM looking at? To make sure that that user interface is something that is Yeah. >>So I'll take a step back. And question is doing Say that, you know, in the sounding times while we're still figuring out new ways stood up So to get work done and really get the essence off being more productive design is there to help figure out a solution to these human, because at the end of it, design is really an expression of intent and intend to help solve the problem and overcome everyday challenges. So, you know, be at IBM is basically focusing on helping our users and partners and customers be more productive. And the feeling is that design has become really important to IBM, not just IBM does. Other landed companies are having great advantages. So if I just call it a few studies in a recent guard from the study found that 89% of companies that they would focus and you extend them apart. So this is about differentiation by design the second Forrester Little study, and they found that 70% of projects fail because of poor us, and that's a huge number. There's also city by the GM of the Design Management Institute that says that design that companies are poor home S and P 500 by 20. So all in all this is that design is now a very important aspect of how we go to market, and it's essential. The good news. IBM has always been part of Indiana money for ponderous Thomas. What Jr said, Good design is good business, though We're in it for the long run. >>Yeah, obviously a long history. There are over 100 years of focus on that. So one of the big themes we've heard the last couple of years, you know, see X. That's about that customer experience and not only the external customers but the internal customers we're talking about, you know, support agents and the like. So how is IBM making sure that it is on the leading edge for the >>great questions to over the last? I would say a good 10 years. We really work hard to develop a culture off designing, design, thinking and close by IBM. Whether it's product development, the services we offer support. We work with customers pretty much every touch point of the user has with us. Design has had an influence in it. To get to where we are today, we had to go hire a whole bunch of formally trained designers. We're working across more than 50 plus global design studio to bring in diversity and part of an idea. And at the end of the day, it's not about this confidence in craft. It's also what the baby work. So we had to hire designers, but we also changing the way IBM offers across organizations work. The level of the strain were called the Enterprise Design Thinking Framework, which is essentially our take a human centered design. Build a scale for the enterprise, so the enterprise is a key element here. The practices we've developed using those frameworks helps our team collaborate better keeping the users and their need at the center of everything we do. But it's not just for us. We also developed it for generally everyone. So if anyone wants to take it up, they could try IBM dot com slash design thinking and give it a shot. And through all of these, we have managed to see some incredible progress internally across organizations with alignment and go to market. But we've also seen some great progress that internally as well, case in point over 20 international designer words for design in the Enterprise. But with the last two years across the portfolio, So it's been a fun ride and our focus for customer experience because the endpoints, all the touchpoints has really given us >>a lot of minutes. Well, congratulations on the award is there. We know enterprises are particular and challenging there. They're not necessarily the first to deploy something new. But one of the big discussions we've had for years when you talk about Cloud and AI is a skill set and training. So what are some of the unique challenges that you have from a design stand point in the enterprise? >>I think the answer to your question is in your question, and it comes down to the enterprise. Enterprise is unique in many different ways, right? First of all, it's about mission critical needs, and second is about productivity. Our minds and the users are coming to us to help them solve these massive, complex challenges and problems, from data management to automation to modernization, to being on the cloud or adopting AI. They're really looking detained, the way they work and at scale. This means that we, as designers and at IBM, have to really take the time to understand the users, to see what their pain points are detected environments and the context of the working so that IBM can ultimately >>help solve the conflict. >>No, that's one part second because it's in the enterprise but also dealing with the fact that technology is evolving at a very rapid pace. Thinking about containers, ai Blockchain, you name it and we know that in order to meet the needs of this modern day age workers, we really need to think out of the box and be a little bit ahead of the curve designed for collaboration and the adoption of these emerging technologies without adding a huge learning curve, but that's a challenge as well. How do we adopt technologies without adding learning curves? So as a profession in design, we have to keep up with it, adopt and constantly lead with innovation. In essence, you know, designing for the enterprise brings interesting and unique challenges, and IBM is >>up for it. Well, you know, it sounds great to talk about just having a design that is super easy. And people get, um I'm wondering if you have any, any tips that you could have out there because, you know, I know myself. I'm always Frank, talk to other people, understand what they're doing. And sometimes it's like, Oh, well, today I learned this, and I wish I had learned this two years ago because, boy, you saved me, you know, an hour, a week of my time when I did this. And it's one of things I enjoy doing is trying to help people with short cuts or new ways of doing things. So we get set in our ways when we learn a new technology that tends to be where it fossilized in our brain, and it's upto look at something with fresh eyes and say, Oh, I got an update G. Maybe I should press that button and or float over and to understand what it does. Is there any any guidance that you can have? Is how do you make it simple and intuitive yet overcoming all of the legacy that we have when when we come into it with what interfaces were used? >>I do think that designers have this unique talent of being able to connect the dots, and that's our superpower. So in terms of tips I would take get to know your users get to know them really, really well, think about what exactly are their blockers and then think about technology and see how it can solve that over to connect the dots. So just to give an example. And I was talking about sort of design being broader than this interface design, you know in IBM started reacting to over 19. We need a lot of things. One of the things we did was we kinda defined solution to improve human computer interaction, very using sort of AI technologies like Watson Assistant and Children's Hospitals to help answer the huge number of questions coming in around 19. So from that standpoint, design is about beyond interfaces. And I feel if we take a step back and figure out, what problem are we trying to solve here? And how do we ensure that the users mental model off the things that they used to using in the everyday use, like 20 maps? How can you bring in those innovations back in the enterprise? That issue? >>Okay, you mentioned technologies are changing so fast, you know, AI containers loud. How's your team keeping up with all of this? You know, the pace of change and stop for a drop. You know, we're in S T I C D model these days. So what's the role of the designer in both? Keeping up with the new things and making sure that you know you're helping the user along the way. >>Fortunately, IBM we have a few advantages in having a broader organization called IBM Research. And IBM Research is a little bit forward facing, and they try to predict the uptake of technology that we have a little bit of a heads up on stage now that is a quantum computing, and such as Well, we got enough up there to as a designer. The inherent trade for designers to be curious and Barbara curiosity is to make sure that we learned, and we can combine them and instead of you bring in a sponge. And I think the fact that designers have this golden acid of empathy is very tender and used, and these superpowers to work with designers in other parts of the business, depending the doctor. But how can we not only solve? The problem is we see it but also solve the problems that are not visible. So the later needs of users. So I feel in a lot of different ways. Designers, you know, >>I >>have to be curious there to solve complex problems, and they have to keep up with technology. It's decimated. >>Yeah, I'm curious. It's exciting times. What excites you about the field of design these days? >>I had no Let me take a step back. Your question at the heart of it. I believe that I'm a designer because I believe we can design solutions that impacts people's lives. So in some ways we are adding to a value of human life, and that's what you mean to design and especially in enterprise design, is about that complexity if the messiness off, complex infrastructure and business use cases and localization and globalization is a really hairy problem. So I feel from an intellectual standpoint, this gives me a way to use my that are curious mind as well as my expertise to help solve this problem. So that's what drew me into >>delight. Excellent. Well, so much going on at IBM Think this week I want to give you the final word. What message do you want to share with IBM users, customers and business partners? >>Thank you. Stupid opportunity. Of course. I want to say thank you. Thank you for believing in us for being a North Star. You are The reason why we've invested so much in design and user experience really make our lives better and your willingness to sort of work alongside us every step of the way. It's really appreciate it. I mean, we tend to really feel that you see with us, so help us innovate, help us bring in great experiences that help you get your business are so on that note. If I could do a little shout out to want to be for our customers and prospects here who are listening in the joining on the user experience program. So we can co create experiences with you to solve your problems and hopefully build solutions that you love. Check out the link IBM that based on these experiences, the easy sign up and the second thing that popped a little bit of a user research like invite you to join in on the research about your journey here is that it's still involving field. I understand we're all going to challenges in adopting AI. Let's all learn, share and help each other and infusing AI in your enterprise. Thank you for being >>part of our innovation journey. Excellent. Well, thank you so much for sharing with our community. This update love the fusion of technology and design co creations. One of our favorite words when we talk about this part of the model that we do on the Cube. So thank you so much for joining us. Thank you. All right. Lots more coverage from IBM. Think 2020 The global experience. I'm stupid, man. And thank you for watching the Cube. >>Yeah, Yeah, yeah, yeah
SUMMARY :
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Charlie Betz, Forrester & Tobi Knaup, D2iQ | CUBEConversation, December 2019
>>From our studios in the heart of Silicon Valley. Palo Alto, California myth is a cute conversation. >>Hello and welcome to the cube studios in Palo Alto, California. For another cube conversation. We go in depth with thought leaders driving innovation across the tech industry. I'm your host, Peter Burris. It's a well known fact of life at this point in time. We're going to the cloud in some manner, way, shape or form. Every business that intends to undertake a digital transformation is going to find themselves in a situation where they are using cloud resources to build new classes of applications and accelerate their opportunities to create new markets that are more profitable. What folks haven't fully internalized yet though is what it means to govern those activities. What does it mean to use data that is in the cloud in a compliant and reliable way? What does it mean to allow rapid innovation while at the same time ensuring that our businesses are not compromised by new classes of risk, new classes of compliance issues as a result of making certain liberties, uh, with how we handle governance. So that's what we're going to talk about today and we've got a great conversation for you. Toby Knapp is a co founder and CTO of day two IQ and Charlie Betts is the principal analyst at Forrester. Toby. Charlie, welcome to the cube theater. All right, so Charlie, I'm going to start with you. I kind of outline the overall nature of the problem, but let's get it very specific. What is the problem that enterprises face today as they try to accelerate their use of technology in a way that doesn't compromise the risk and compliance concerns? >>Well, we are hearing the same story over and over again. Peter, uh, companies are starting on the cloud native journey and perhaps a dev ops journey. You know, there's some similarities there. You know, one leads to the other in many cases and they S they do a proof of concept and they do a pilot and they like the results. But both of those efforts had what from monopoly, we would call it a get out of jail free card. You know, they had a pass to bypass certain regulatory or governance or compliance controls. Now they want to scale it. They want to roll it out across the enterprise and you can't give every team a get out of jail free card. >>Well, let me dig into this because is it that the speed with which we're trying to create new things, is that the key issue? Is it that the new technologies like Coobernetti's lend themselves to new style that doesn't necessarily bring good governance along with it? What is, what are those factors that are driving this problem? >>I think the central factor, Peter, is the movement from stage gated governance to governance of continuous flow. We could unpack this in various ways, but really if you look at so many governance models and people ship them to us and we comb through them and it's getting, you know, doing a lot of out lately, what we see is over and over again, this idea that delivery pauses experts come in from their perspective with a checklist they go through, they check the delivery against the checklist, and then the Greenlight is given to move on. And this is how we've run digital systems for a long time now. But now we're moving towards continuous flow, continuous iteration, >>agile, agile, DevOps, >>dev ops, all the rest. And these methods are well suited to be supported by architectures like Coobernetti's. And there are certain things you can do with automation that are very beneficial in cloud native systems, but you're up against, you know, decades of policy that assume this older model is based on older guidance like ITIL and PIM, Bach and, and COBIT and all the rest. COBIT 2019 is still based on a plan build run model, >>which is not, is not necessarily a bad thing in the grand scheme of things, but it doesn't fit into a month long sprint. >>It doesn't fit. And more and more what we're seeing when I say stage Gates are going away, what we're seeing is that the life cycle becomes internalized to the team. You still plan, build, run. But it's not something that you can put controls >>on at the high level. And so the solution seems to be is that we need to be able to foster this kind of speedy acceleration that encourages the use of agile, uh, leads to a dev ops orientation. And somehow fold good solid governance practices right into the mix. What do you think the, let's take a look at 2025, what's it going to look like? And uh, even if we're not ready for it yet? >>Well, I think you were going to govern a lot more at the level of the outcome. You're going to govern what not how as much, but there are a lot of things that still are essential and just basic solid good practice such as not having 15 different ways or a hundred different ways to configure major pieces of infrastructure. You know, there's a, in the, some of the reports, uh, the state of DevOps report that came out, there was a, uh, a note in there or a finding in there that it was best to let the developers have a lot of choice. And I understand that developer autonomy is very important, but every time a development team chooses a new technology or a new way to configure an ex, an existing technology, that's an expansion of attack surface. And I'm very concerned about that, especially as we see things like Equifax with the, uh, the struts exploit, you know, we, we have to keep our environment secure, well patched up to date. And if you only have one or two ways that things are configured, that means your staff are more likely to do the right thing as opposed to, you know, infinite levels of variation, you know, on a hundred different ways of configuring. Coobernetti's >>well, presumably we don't want the infinite levels of variation to be revealed at the business level and not down at the infrastructure level. I think one of the things that folks mean or folks aren't intending or hope to be able to do with digital business you're alluding to this is creating a digital asset, a software based asset because ultimately it's going to be more integratable, but you lose the opportunity to integrate those things if you're increasing the transaction costs by introducing a plethora of discordant governance models. Is that what you're seeing as well, Toby? >>Absolutely. And I think, uh, you know, some aspects of cloud native that make this problem a lot bigger is actually, you know, cloud native encourages sort of a self service model for infrastructure. And also we're seeing our shift, um, off, uh, power and decision making towards developers, right? So you have developers introducing a lot of these new stacks, often in a very, you know, sort of bottoms up, um, organic way. So very quickly and enterprise finds themselves with, you know, 10, 15 different ways to provision infrastructure to provision communities, clusters. Um, and often, you know, the teams that are in charge of governance aren't even aware of these things, right? Yes. So, uh, I think it starts actually with that and you know, how can we find, uh, this balance of giving developers the flexibility they want, uh, you know, having them leverage the benefits of cloud native, but at the same time making the folks that are in charge of governance, uh, aware of what's going on in, in their enterprise, uh, making them aware of the different stacks that are provisioned. Uh, and then finding the right balance between that flexibility and enforcing governance. Uh, there's ways to do that. Um, you know, there what we see a lot is, is, uh, waste, uh, people building one stack on cloud provider, a different stack on cloud provider B, a third stack, you know, at the edge or in their data center. And so when it comes to patching, security issues, upgrading versions, you know, you, you're doing three, five times the, the amount of work. >>Well, let me ask you a question because we can see that the problem is this explosion in innovation at the digital level, uh, that is running into this, uh, the, the stricture of historical practices. And as a result, people are in running governance. What is it, I mean, if I think about this, it sounds to me like the developer tooling is getting better, faster than the governance tooling. Where are we in the marketplace in terms of thinking about technologies that can improve the productivity on the governance side so that we can bring governance models to the developers so they don't have to make decisions at that level? >>Right. I think where we are in the market is, um, so obviously cloud native and Kubernetes specifically has seen rapid adoption Indiana price, right? And I think, um, you know, the governance and tools are just now catching up. Right? Right. Um, so the typical journey we see is, uh, you know, folks try out Kubernetes, they try out cloud native technologies to have a very good first experience. It's easy. And so they kind of, uh, you know, forget some of the best practices that we've learned over the years for how to secure a production stack, how to make it upgradable, maintainable, how to govern workloads and versions, um, because they'll still, schools just simply didn't exist. Uh, so far we're now seeing these tools emerge. Um, and, and really it's the same approaches that have worked for us in the past for, for running these types of infrastructure. It's, um, you're having a central pane of class for visibility. What versions am I running? Uh, you know, first being aware of what's out there and then you'll centralizing management of these, of these stacks. Um, how do I, you know, lifecycle manage my, my Kubernetes clusters and all the related technologies. Those are the tools that are just now showing up in the market, >>but it's also got to be, I presume that, uh, a degree of, uh, presuming that the tooling itself does bring forward good governance practices into a modern world. If I got that right. >>Yeah, absolutely. I think this is one of the key things that the updated INO team, uh, the infrastructure and operations and our, our view is that these become platform teams. So we've maybe relieved the INO term behind we go with the platform teams. This is one thing that they should be doing is creating reference implementations. You know, the, you know, here's your hello world stack and it's perfectly compliant. Go solve your business problem and leave the undifferentiated heavy lifting to us. You know, and this is I think, uh, going should be a welcome message. Uh, assuming that the stack is providing all the services that the developer expects. >>Well it certainly suggests that there is a reasonable and rational separation of duties and function within a business. So the people that are close to the business of building the function that the business needs are out there doing it. Meanwhile, we've got infrastructure developers that are capable of building a platform that serves as multitude of purposes with the specificity required for each workload and in compliance with the overall organization. >>There's a key message that I want to reinforce with the audience as we think about the future of INO. I, we've been thinking a lot about it at Forester. What is the future of the traditional INO organization? If I say infrastructure that implies application and I'm talking about a stack that doesn't go away, you know, there will always be a stack, a layered architecture. What is being challenged is, when I say operations, that implies dev and I'm talking now about a life cycle. That's what's merging together. And so well, the life cycle becomes something that is held internally within your feature or component team and is no longer a suitable topic of governance. Absolutely. In terms of the layered infrastructure, this is where we, it's still a thing, you know, because yes, we will platform teams, component teams, feature teams facing the business or the end user. >>Well, it's all back to the idea that a resource is a reasonably well bound, but nonetheless with the appropriate separation, uh, of, of function that delivers some business outcome. And that's gonna include both infrastructure at a software level, an application at a software level. So look, we, you spent a lot of time talking to customers about these issues when they come back to you. Uh, where are you seeing successes most obviously and why? >>Yeah, so where we see successes is where, um, you know, organizations, um, figure out a way to give developers what they want, which is in the cloud native spaces. Every development team wants to own their own communities cluster. They want to, it is their sandbox. They want to install their own applications on there. They don't want to talk to different team when they install applications. So how can you give them that while at the same time enforcing the standards that you need to, right? How do you make sure those clusters follow a certain blueprint that have the right access control rules? Um, you know, sensitive information like, like credentials are distributed in the right way. The right versions of workloads are available. Organizations that figure out how to do that, uh, they are successful at this. So the government from a central place, they have um, you know, essential pane of glass. >>Um, you know, like our product commander where they essentially set up blueprints for teams. Um, each individual team can have their own cluster. It gets provisioned with this blueprint. And then from the central place I can say, all right, here is what my production clusters should look like. Right? Here are the secrets that should be available. Here are the access control rules that need to be set. And so you find the right balance that way, right? You can enforce your governance standards while at the same time giving developers their individual clusters that development their staging of production clusters. >>And here's the options and what is an edible option and what is not. Right. Yeah. So it seems to me as if I, I mentioned this earlier, if I think about digital business, it's the opportunity to not only turn process, we're increasingly digitized process, but the real promise also is to then find ways of bringing these things together, integrate the business in response to new opportunities or new, uh, competitive factors or regulatory factors, whatever else it might be, and literally reconfigure the business quickly. That has to be more difficult if we have a wide array of, of governance models and operational principles. Trolley is, you think about customer success, uh, what does it mean for the future to be able to foster innovation with governance so that the whole thing can come together when it needs to come together? >>Well, I think that we need to move to governing again, as I said earlier, governing >>what not. How uh, >>I believe that, uh, you know, teams should be, should be making certain promises and there's a whole idea of the theory that's out there. A guy named Mark Burgess who is, you know, well known in certain certain infrastructure as code circles. So what are the promises that the team makes within the larger construct of the team of teams and is that team being accountable to those promises? And I think this is the basis of some of the new operating models we're seeing like Holacracy and teal. I think we're in very early days of looking at this. But you know, yeah, you will be held accountable for you know, objectives and key results. But how you get there, you have more degrees of freedom and yet at an infrastructure level, this is also bounded by the fact that if this is a solved problem, if this is not interesting to the business, you shouldn't be burning brain power on solving it. You know, and maybe it was interesting, you know, a couple of years ago and there was a need to explore new technologies, but really the effort should be spent solving the customer's problems. Charlie Betts, principal analyst at Forrester, Toby not co founder and CTO of D to IQ. Thanks very much for being on the cube. Thank you. Thank you, Peter, and thank you for joining us for another cube conversation. Once again, I'm Peter Burris. See you next time..
SUMMARY :
From our studios in the heart of Silicon Valley. All right, so Charlie, I'm going to start with you. They want to roll it out across the enterprise and you can't give every ship them to us and we comb through them and it's getting, you know, doing a lot of out lately, you know, decades of policy that assume this older model is based on older guidance a month long sprint. is that the life cycle becomes internalized to the team. And so the solution seems to be is that we need to be able to foster uh, the struts exploit, you know, we, we have to keep our environment a software based asset because ultimately it's going to be more integratable, but you lose the opportunity So, uh, I think it starts actually with that and you know, Well, let me ask you a question because we can see that the problem is this explosion in innovation And so they kind of, uh, you know, forget some of the best practices that we've learned over the years for but it's also got to be, I presume that, uh, a degree of, uh, You know, the, you know, here's your hello world stack So the people that are close to the business of building the function that the business needs are a stack that doesn't go away, you know, there will always be a stack, So look, we, you spent a lot of time talking Um, you know, sensitive information like, like credentials are distributed in the right way. And so you find the right balance that way, right? And here's the options and what is an edible option and what is not. How uh, a solved problem, if this is not interesting to the business, you shouldn't be burning brain
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Joep Piscaer & Nikola Bozinovic, Nutanix | Nutanix .NEXT EU 2019
>>Live from Copenhagen, Denmark. It's the cube covering Nutanix dot. Next 2019 brought to you by Nutanix. >>Welcome back everyone to the cubes live coverage of Nutanix. Dot. Next we are here in Copenhagen, Denmark. I'm your host, Rebecca Knight, along with Stu minimun. We are joined by Nicola Bosun awic. He is the VP GM desktop services at Newtanics. Thanks so much for coming on the show. And also you piss Carr who is an industry analyst and and the many time guest on the cube. That's right. Thank you so much for coming on the show. So you are actually the founder of frame and frame was bought by Nutanix a about a year ago. So tell us a little bit about the acquisition, how its acquisitions are challenging. How has it has, how has it been going? >>It's mayor great year. Uh, there's no better place than a tannics to do end user computing in VDI. And that's what frame was all about. How we make it simple. Uh, that was also all about Newtanics. How do you make computing simple, fast, delightful, and um, we've done, uh, so many things to really bridge that world of on prem and cloud off traditional legacy VDI, like Citrix and VMware on hyperconverged infrastructure and now new broker like frame. And we are really looking at that as one end user computing team and just do what's right for the customers. So it's been a blast. Yeah. Nicola, you know, last year when we had you on, we talked a lot about frame, so you've got a broader mandate now to do the whole desktop services. Give us your view of the landscape a little bit out there as you know, definitely. >>I understand, you know, VDI traditionally, boy was it complicated building that stack, the infrastructure and the software pieces. Um, you know, where are your customers today and you know, how's the industry doing it a whole on that modernization journey. >> Uh, it, as I said, it's been a great 12 months. If you're in VDI. A lot of people who are in the traditional VDI world with brokers like Citrix and VMware are looking to modernize their data centers and there is no better options than uh, hyperconverged and Newtanics to have bite size and linearly, um, scaled infrastructure, run VDI. We continue to innovate, we continue to work closely with um, the vendors, especially Citrix. Um, and at the same time as the focus is shifting to the public clouds, uh, we are, um, having our own opinion and how the broker in the public cloud should look like with frame and then mixing and matching where the desktops really are and really looking at very, um, industry and vertical specific use cases. We're seeing lot of new adoption in healthcare and financial services and with frame, we're seeing a lot of new use cases in education and public sector as well. Right. >>Is this, is this jiving with what you see as the terms of the way they're positioning themselves and what you're hearing from your sources in the market? >>Yeah, absolutely. I mean, um, you know, given the trend that, you know, applications are going into the cloud, um, it makes sense to kind of pick up those, you know, those applications that are harder to virtualize, harder to move to the cloud and you know, find a way to bring them to the cloud as well. To bring that, I don't know, that cloud like experience for the older applications as well. Um, and then the other hand there's, you know, the simplicity of running the, um, the older desktops. Uh, the traditional VDI just likes to set, I mean, it's difficult to set up that whole environment to manage it, to make sure it continues to operate and then to have something that kind of replaces that with a simple solution. I mean, that's what customers are looking for. Yup. >>Nicola, I know some of the conversations I had years ago was, you know, it's not even desktop. It's, it's about my applications, it's about my users. It's about how things, things are changing. They're in today's world where have many customers who are trying to do SAS first. You know, how, how do you, I guess, reframe that conversation of, you know, what was, you know, we spent over a decade with that VDI discussion. Look, I think we're going to end up, when it comes to infrastructure and when it comes to virtualization, we're going to come ups where some somewhere in the middle where not everything's going to be public cloud and that everything's going to be on prem. It's going to be somewhere in the middle of when it comes to application delivery versus full desktops. It started obviously with app virtualization, but more and more people are looking at delivering full desktop solutions. >>There is a great benefit to it, consistent performance, um, you know, isolation and security or some things that come to mind and we are now able to deliver great performance. Look at windows 10, which is a big migration. We can deliver great windows 10 performance using Citrix or using frame and um, for example, some of the innovation that NVIDIA's bringing to market with a virtualizing GPS. So for the longest time it was a niche and as becoming more of a mainstream, if you just want your desktop to be scrolling smoothly, you'll probably need your GPU. So I think that's where a VDI and a simplicity of VDI, um, really takes over. >>So you are talking about speed and security. What about design? How does that play into it? >>Well, kind of Newtanics is all about, you know, data delivery, design and delight. And a, I think with end user computing, uh, it's end user for a reason. It's experienced by a user, it's experienced by an administrator, and at the end of the day, best user experience is going to win. So for administrators, if they can install their applications and manage them in one click, that's a great benefit. Then that's what we bring with combination of hybrid converged and a frame. Same goes for end user experience, um, as opposed to, let's say 10 years ago when everybody was in a wired network. Uh, these days people work from anywhere. They work from Starbucks, they work over and allows a seller a. So it's very important to have that user experience. Um, you know, uh, be delightful. And, um, that's something that we're very focused on. Yeah. I think I've had so many discussions this year about kind of the CX, the customer experience as well as the employee experience. So, you know, I would think that this whole EUC discussion ties it. What, what are you hearing from them and seeing out there? >>So, you know, the, the whole, the whole discussion about experience. Um, I think it's really important. I mean, employees have to do their job. They are given the tools to do the job, but sometimes the tools that are given or you know, slightly older, um, they may not be modern, they may not be web-based, they may not be performant or, so the issue is how do you, you know, in a very specific niche and a very specific use case, how do you make sure that the older application will actually continue running? Right? Um, how do you bring that, you know, windows application into a, um, into a framework where you can actually work with it everywhere on any device? Right. And that's, that's of where, where I see the, um, um, the wish for a good employee experience cannot be broken down by the technical technical limitations of what applications can do. Right. Um, and the issue is, you know, not every application is cloud native, not every, every application runs in the cloud. So you have to have something that kind of bridges that gap between, you know, on the one hand what you want to offer to the employee and the other hand what you're kind of forced to use in specific use cases. Um, there's just no other way than, you know, w using that old windows application. Yeah. >>Nicola, once again, I think back to some of the years of talking about VDI deployments and it was like up, well, organizationally, we're now off to have the desktop team versus the server team and the storage people need to get involved. And you brought a customer to come talk to the analyst yesterday and they didn't, they were like, we don't want to worry about any of this. We want to worry about our application, what's going on. So help, help explain a little bit, kind of some of the transformational potential of the new model. It's almost the same way we can hyper converged compute within storage and hypervisor. We're hyper converging all these different roles from the storage role to the it role to the business for all where to be honest, you don't need three separate people or three separate teams to do it. Um, solutions like, um, frame for example, make it possible to do that from a single pane of glass and to manage it all. So the customer that we had yesterday is doing that thing. Exactly. And it's not going even to there. It, um, in some cases, um, like, Oh customer we're going to have tomorrow Vodafone, uh, that is, they're on a hyperconverged still has lot more than what I'd call a legacy. It's 5,000 applications delivered to 50,000 concurrent users and they're just doing a new refresh shot. It's here to stay. VDI is here to stay. Yeah. What are >>you see as some of the biggest challenges facing companies like Nutanix? Um, particularly in this space? >>So, I mean, the biggest challenge is going to be integration, right? I mean Nutanix is becoming a big company. It's up to you, I don't know, 5,500 people. I think it's a big company. It's a lot of products that, you know, the portfolio is expanding. And so making sure that all of those solutions fit into the portfolio. And again, coming back to that experience, right? Um, so can candidates annex deliver a solution for many different problems within the data center and Indiana briars cloud without it seeming to be, you know, different products that are not integrated where the user experience is bad. I mean, we've all been there where you try to run a data center and you got bogged down with all of the details simply because the products that you use are not integrated. Um, so I think, you know, from, from any tannics perspective, making sure that everything's integrated and worked well with all of the other products in a portfolio, that's going to be the big challenge for the next year. You know, Nicola, we had Dera John this morning and he talked about those experiences. You know, customers shouldn't have >>Oh my gosh. You know, I looked on the slide and there's 30 different Nutanix products and I can't even spell all of them. Um, you know, uh, so, uh, tell us a little bit about, uh, you know, integrating frame through and making sure a desktop just becomes a, you know, a piece of that experience. The big switch for us as being thinking about solutions, not products for that same reason because there's so many products right now in a portfolio and end user computing or VDI has been one of the key solutions that we are focusing on in the next 12 and 24 mods. So would, that really means is that all the products are designed to work seamlessly. So it starts with your, um, hyper-converged, um, widths, um, Citrix as a broker, horizon as a broker, a frame as a broker, but it extends way beyond that. >>So talking about files, you obviously need your enterprise file server that is very, very seamlessly integrated with the end user computing solution. Same goes for flow. You can now have boundaries of who can access VMs or now we have identity based micro segmentation. Um, and then, uh, things like beam where you can seamlessly again have one-click integration and now how much is something costing you right now and how much the same workload would cost you if you ran it on prem or in a different cloud. So I think all of these things are designed to work seamlessly and we spend a ton of time, I mean literally a ton of time to get together with all the teams and to make sure that that user experience is as seamless as possible. >>So I want to go deeper into your past when at the age of 22, you helped lead a revolution that overthrew Slobodan Milosevic. I want to know the lessons that you learned as a revolutionary and how and how you apply them to the technology industry today. I mean because there is a lot of, you know, move fast and break, which is what you were doing then. Yeah. >>Now also like, ah, I, I spoke to a group of executive last night and mentioned, um, uh, those times in the 90s. I grew up in Serbia where the rest of the world was going for dotcom. Boom. We were dealing with, um, um, basically Yugoslavia breaking apart and in 96, from, um, um, pretty anonymous student in the, in a crowds after Milosevic's stolen election, um, I became the leader of what was a very, uh, uh, natural, but also very attentive, um, movement. Uh, within four weeks I was sitting with him just like this, negotiating and negotiating with about a hundred thousand people yelling and screaming under his window, and he had to, um, reverse the results of his election fraud. It took another couple of years. Then we got rid of him. The lesson that I learned at a very young age and just, you know, things just happen was that if you do things in an authentic way, if you speak with conviction ed the right time, you know, there, there are no things that you can do. >>And that was probably the revolutionary spirit that Newtanics shares when I met Dhiraj that, uh, you know, everything's possible that incumbencies not are insurmountable. And that's what led me to move to the U S um, go to my grad school, get BHD start gobbling companies. And looking back, I'm in my mid forties right now. It's pretty crazy to looking at the odds and they'll, what it takes to build a company, make it successful and how risky that is. Just going through some of these experiences when I was in my early twenties, certainly helped me. And, um, I think we'll live in the day and age where the risk is probably overestimated and that we should probably all take more risk. Uh, in modern day and age, the gain is potentially very large and the risk is relatively small. >>Those are that, that's great. But then the timing is everything too >>thing. And I know there was, um, a fall of two 96 20 cup, 20 something years ago. And I remember, um, you know, the biggest lesson that I've learned, if we've done exactly the same thing and we've done it 10 times better six months before or six months after, it wouldn't happen. It was really the right moment and the right wave of underlying energy that if you serve that way the right way, you can move mountains. But it's really important to have a krill clear message to do it with conviction and to do it the right time. >>Right. So it's a little bit of luck, but then also the willingness to take a risk. Absolutely. Excellent. Well, thank you so much. You've and Nicola. Thank you. It was a pleasure talking to you both. Thank you. Thank you. I'm Rebecca Knight for Stu Miniman. We will have more coming up tomorrow from nutanix.next.
SUMMARY :
Next 2019 brought to you by Nutanix. So you are actually the founder Nicola, you know, last year when we had you on, Um, you know, where are your customers today focus is shifting to the public clouds, uh, we are, I mean, um, you know, given the trend that, you know, applications are going into the cloud, Nicola, I know some of the conversations I had years ago was, you know, There is a great benefit to it, consistent performance, um, you know, So you are talking about speed and security. Um, you know, uh, be delightful. Um, and the issue is, you know, not every application the storage role to the it role to the business for all where to seeming to be, you know, different products that are not integrated where the user experience Um, you know, uh, so, uh, tell us a little bit about, much the same workload would cost you if you ran it on prem or in a different cloud. I mean because there is a lot of, you know, move fast and break, which is what you were doing then. you know, there, there are no things that you can do. I met Dhiraj that, uh, you know, everything's possible that incumbencies not are insurmountable. Those are that, that's great. And I remember, um, you know, the biggest lesson that I've learned, It was a pleasure talking to you both.
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Silvan Tschopp, Open Systems | CUBE Conversations, August 2019
>> from our studios in the heart of Silicon Valley, Palo Alto, California It is a cute conversation >> lover on Welcome to this cube conversation here in Palo Alto, California. The Cube Studio. I'm John for the co host of the Cube Weird Sylvan shop. Who's the head of solution Architecture and open systems securing Esti win of right of other cloud to point out like capabilities. Very successful. 20 plus years. Operation Civil was the one of the first folks are coming over to the US to expand their operation from Europe into New York. Now here in Silicon Valley. Welcome to the Cube conversation. Thank you. So instituting trivia. You were part of the original team of three to move to the U. S. From Switzerland. You guys had phenomenal success in Europe. You've come to the U. S. Having phenomenal success in the US Now you moving west out here to California on that team, you're opening things up at the market. >> It's been a chance, Mikey. Things can presented themselves step by step, and I jumped on the trains and it's been a good right. >> Awesome. You guys have had great success. We interviewed your CEO a variety of your top people. One of the things that's interesting story is that you guys have been around for a long time. Been there, done that, riding this next next wave of digital transformation. What we call a cloud two point. Oh, but really is about enterprise. Full cloud scale, securing it. You have a lot of organic growth with customers, great word of mouth. So that's not a lot of big marketing budgets, riel. Real success there. You guys now are in the US doing the same thing here. What's been the key to success for open systems wide such good customers? Why the success formula is it you guys are on the right wave. What is it? The product? All the above. What's the What's the secret formula? >> So multiple things I say. And we started as a privately owned company like broad banks to, um, to the Internet email into one back in the nineties. And, um, yeah, we started to grow organically, as he said were by mouth, and Indiana is we put heavy focus on operations, so we wanted to make our customers happy and successful, and, um, yeah, that's how we got there like it was slow organic growth. But we always kind of kept the core and we tried to be unconventional, tried to do things differently than others do. And that's what brought us to where we are today and now capabilities Being here in the Valley, um, opens up a lot of more doors. >> It's got a nice office and we would see I saw the video so props for that. Congratulations. But the real to me, the meat on the bone and story is, is that and I've been really ranting on this whole SD win is changing. SD Win used to be around for a long, long time. It's been known industries known market. It's got a total addressable market, but really, what has really talks to is the the cloud. The cloud is a wide area network. Why do we never used to be locked down? He had the old way permitted based security. Now everything is a wide area. That multi cloud in hybrid club. This is essentially networking. It's a networking paradigms. It's not lately rocket science technically, but the cloud 2.0 shift is about, you know, data. It's about applications, different architectures you have everything kind of coming together, which creates a security problem, an opportunity for new people to come in. That's what you guys? One of them. This is the big wave. What? It explain the new s t win with, you know, the old way and the new way. What is the what? What should people know about the new S D win marketplace? >> Yeah. So let me start. Where do Owen has come from and how digital transformation has impacted that. So typically corporate wider networks were centered around the Clear Data Center where all applications were hosted, storage and everything and all traffic was back holding to the data center. Typically, one single provider that Broady, Mpls links on dhe. It was all good. You had a central location where you could manage it. You had always ability security stack was there. So you had full control. Now new requirements from natural transformation broad as users are on the road, they're on their phones ipads on the in, restaurants in ah, hotels, Starbucks. Wherever we have applications moved to the cloud. So their access directly You wanna have or be as close as possible Unify Communications. I OT It's all things deposed. Different requirements now in the network and the traditional architecture didn't were wasn't able to respond to that. It's just that the links they were filled up. You couldn't invest enough thio blow up your Nampula slings to handle the band with You lost visibility because users were under road. You lost control, and that's where new architectures had to be found. That's where Ston step them and say, Hey, look now we're not centered around the headquarter anymore were sent around where the applications are, your scent around, where the data is, and we need to find means to connected a data as quickly as possible. And so you can use the Internet. Internet has become a commodity. It's become more performance more stable, so we can leverage that we can route traffic according to our policies. We can include the cloud, and that's where Ston actually benefits from the clown. As much as the club benefits from SD went because they go hand in hand and that's also what we really drive to say, Hey, look, now the cloud can be directly brought into your network, no matter where, where data and where applications. >> Yeah, and this is the thing. You know, Although you've been critical of S t when I still see it as the path of the future because it's networking. And the end of the day networking is networking. You moving packets from point A to point B and you're moving somebody story you moving from point A to store the point C. It's hard. And you brought this up about Mpls. It's hard to, like rip and replace You can't just do a wholesale change on the network has the networks are running businesses. So this is where the trick is, in my opinion. So I want to get your thoughts on how companies were dealing with this because, I mean, if you want to move, change something in the network, it takes a huge task. How did you guys discover this new opportunity? How did you implement it? What was the and how should customers think about not disrupting their operations at the same time bringing in the new capabilities of this SD win two point? Oh, >> yeah, that's it's a perfect sweet spot, because in the end is, um, nobody starts at a green field. If you could start with a green field. It's easy. You just take on the new technology and you're happy. But, um, customers that we look up large enterprises, they have a brownfield. They haven't existing that work. They have business critical applications running 24 7 And if you look at what options large enterprises have to implement and manage a nasty when is typically three approaches, they either do it themselves, meaning they need a major investment in on boarding people having the talent validating technology and making the project work already. Look at a conventional managers provider. In the end, that is just the same as doing yourself. It's just done by somebody else, and you have the the challenge that those providers typically, um, have a lot of portfolio that they manage. And they do not have enough expertise in Nasty Wen. And so you just end up with the same problems and a lot of service, Janey. So even then you do not get the expertise that you need. >> I think what's interesting about what you guys have done? I want to get your reaction to this is that the manage service piece of it makes it easier to get in without a lot of tinkering with existing infrastructure. Exact. And that's been one of that tail winds for you guys and success wise. Talk about that dynamic of why they managed service is a good approach because you put your toe in the water, so to speak, and you can kind of get involved, get as much as you need to go and go further. Talk about that dynamic and why that's important. >> Yeah, technology Jane is very quickly. So you need people that are able to manage that and open systems as a pure play provider. We build purposely build our platform for us, he went. So we integrated feature sets. We we know how to monitor it, how to configure it, how to manage it. Lifecycle management, technology, risk technology management. All this is purposely purposely built into it, so we strongly believe that to be successful, you need people that are experts in what they do to help you so that you and your I t people can focus in enabling the business. And that's kind of our sweet spot where we don't say we have experts. Our experts operating the network for you as a customer and therefore our experts are your experts. And that's kind of where we believe that a manage service on the right way ends up in Yeah, the best customer. >> And I think the human capital pieces interesting people can level up faster when you when you're not just deploying here. Here's the software load. It is the collaborations important. They're good. They're all right. While you're on this topic, I want to get your thoughts. Since you're an expert, we've been really evaluating this cloud 2.0, for lack of a better description. Cloud 2.0, implying that the cloud 1.0 was Amazon miss on The success of Amazon Web service is really shows Dev Ops in Action Agility The Lean startup Although all that stuff we read reading about for the past 10 plus years great compute storage at scale, amazing use of data like you, said Greenfield. Why not use the cloud? Great. Now all the talk about hybrid cloud even going back to 2013 We were of'em world at that time start 10th year their hybrid cloud was just introduced. Now it's mainstream now multi cloud is around the corner. This teases out cloud 2.0, Enterprise Cloud Enterprise Scale Enterprise Security Cloud Security monitoring 2.0, is observe ability. Got Cooper All these new things air coming on. This is the new clout to point out what is your definition of cloud two point? Oh, if you had to describe it to a customer or a friend, >> it is really ah, some of hybrid cloud or multi cloud, as you want to name it, because in the end, probably nobody can say I just select one cloud, and that's going to make me successful because in the end, cloud is it's not everywhere, as we kind of used to believe in the beginning, but in the end, it's somebody else's computer in a somebody else's data center. So the cloud is you selectively pick the location where you want to for your cloud instances and asked if Cloud Service providers opened up more locations that are closer to your users in the or data you actually can leverage more possibilities. So what we see emerging now is that while for a long time everything has moved to the cloud, the cloud is again coming back to us at the sietch. So a lot of compute stuff is done close to where data is generated. Um, it's where the users are. I mean, Data's generated with with us. Yeah, phones and touch and feel and vision and everything. So we can leverage these technologies to really compute closer to the data. But everything controlled out of central cloud instances. >> So this brings up a good point. You essentially kind of agreeing with cloud one detto being moved to the cloud. But now you mentioned something that's really interesting around cloud to point out, which is moving having cloud, certainly public clouds. Great. But now moving technology to the edge edge being a data center edge being, you know, industrial I ot other things wind farms, whatever users running around remotely you mentioned. So the edges now becomes a critical component of this cloud. Two point. Oh, okay. So I gotta ask the question, How does the networking and what's the complexity? And I'm just imagining massive complexity from this. What are some of the complexities and challenges and opportunities will arise out of this new dynamic of club two point. Oh, >> So the traditional approaches does just don't work anymore. So we need new ways to not only on the networking side, but obviously also the security side. So we need to make sure that not on Lee the network follows in the footsteps of the business of what it needs. But actually, the network can drive business innovation and that the network is ready to handle those new leaps and technologies. And that's what we see is kind of being able to tightly integrate whatever pops up, being able to quickly connect to a sass provider, quickly integrate a new cloud location into your network and have the strong security posture there. Directly integrated is what you need because if you always have to think about weight, if I add this, it's gonna break something else, and I have to. To change is here. Then you lose all the speed that your business needs. >> I mean, the ripple effect of it's like throwing a stone in the lake and seeing the ripple effect with cloud to point. You mentioned a few of them. Network and Security won't get to that in a second, but doesn't change every aspect of computing categories. Backup monitoring. I mean all the sectors that were traditional siloed on premise that moves with the cloud are now being disrupted again for the third time. Yeah, you agree with that? >> It's true. And I mean your club 0.1 point. Oh, you say a lot of things will be seen his lift and shift and that still works like there is a lot of work loads where it's not worth it to re factor everything. But then, for your core applications, the business where the business makes money, you want a leverage, the latest instead of technologies to really drive, drive your business there. >> I got to get your take on this because you're the head of architecture solutions at Open Systems. Um, is a marketing tagline that I saw that you guys promote, which I live. I want to get your thoughts on. It says, Stop treating your network like a network little marketing. I love it, but it's kind of like stop trying your network like a network implying that the networks changing may be inadequate. Antiquated needs to modernize. I'm kind of feeling the vibe there on that. What do you mean by that? Slow Stop treating your network like a network. What's what's the purpose >> behind that? But yeah, in the end, it to be a little flaw provoking. But I mean, even est even in its pure forms, where you have a softer controller that steers your traffic along different path. Already. For me, as an engineer, I'm gonna lose my mind because I want to know where routing is going. I want deterministic. Lee defined my policy, so I always have things under control. But now it's a softer agent that takes care. Furred takes care of it for me so that already I lose control in favor off. Yeah, more capabilities. And I think that's cloud just kind of accelerate. >> So you guys really put security kind of in between the network and application? Is that the way you're thinking about it? It used to be Network was at the bottom. You built the application, had security. Now you're thinking differently. Explain that the the architectural thinking around this because this is a modern approach you guys were taking, and I want to get this on the record. Applications have serving users and machines network delivers packets, and then you're saying security's wrapping up between them explain. >> So when we go back again to the traditional model Central Data Center, you had a security stack full rack of appliances that the care of your security was easy to manage. Now, if you wanna go ask you when connect every brand side to the Internet, you cannot replicate such an infrastructure to every branch. Location just doesn't skill. So what do you do? Why do you say I cannot benefit of this where I use new methods? And that's where we say we integrate security directly into our networking stack. So to be able to not rely on the service training but have everything compiled into one platform and be able to leverage that data is passing through our network. You've eyes. But then why not apply the same security functions that we used to do in our headquarter directly at the edge and therefore every branch benefits of the same security posture that I typically were traditionally only had in my data center? >> You guys so but also weighing as a strategic infrastructure critical infrastructure opponent. I would agree with that. That's obvious, but as we get into hybrid cloud and multi cloud infrastructures of service support. Seamless integration is critical. This has become a topic, will certainly be talking about for the rest of the year Of'em world and reinvented other conferences like Marcel that night as well. This is the big challenge for customers. Do I invest in Azure A. W as Google in another cloud? Who knows how many clouds coming be another cloud potentially around the corner? I don't want to fork my development team. I want to do one of the great different code bases. This has become kind of like the challenge. How do you see this playing out? Because again, the applications want to run on the best cloud possible. I'm a big believer in that. I think that the cloud should dictate the AP should dictate which cloud runs. That's why I'm a believer in the single cloud for the workload, not a single cloud for all workloads. So your thoughts, >> I think, from an application point of view. As you say, the application guys have to determine more cloud is best for them, I think from a networking point of view, as a network architect, we need to we can't work against this but enable them and be able to find ways that the network can seamlessly connect to whatever cloud the business wants to use. And there's plenty of opportunity to do that today and to integrate or partner with other providers that actually have partnered with dozens of cloud providers. And as we now can architect, we have solutions to directly bring you as a customer within milliseconds, to each cloud, premise is a huge advantage. It takes a few clicks in a portal. You have a new clouds instance up and running, and now you're connected. And the good thing is, we have different ways to do that. Either. We spin up our virtual instance virtual esti one appliance in cloud environments so we can leverage the Internet to go. They're still all secured, all encrypted, ordering me again. Use different cloud connect interconnections to access the clouds. Depending on the business requirements, >> you guys have been very successful. A lot of comfort from financial service is the U. N. With NGOs, variety of industries. So I want to get your thoughts on this. I've been we've been covering the Department of Defense is joining and Chet I joint and the presentation of defense initiative where the debate was soul single purpose Cloud. Now the reality is and we've covered this on silicon angle that D O D is going multi cloud as an organization because they're gonna have Microsoft Cloud for collaboration and other contracts. They're gonna win $8,000,000,000. So that a Friday cloud opportunities, but for the particular workload for the military, they have unique requirements. Their workload has chosen one cloud. That was the controversy. Want to get your thoughts on this? Should the workloads dictate the cloud? And is that okay? And certainly multi cloud is preferred Narada instances. But is it okay to have a single cloud for a workload? >> Yeah, again, from if the business is okay with that, that's fine from our side of you. We see a lot of lot of business that have global presence, so they're spread across the globe. So for them, it's beneficial to done distribute workloads again across different regions, and it could still be the same provider, but across different regions. And then already, question is How do you now we're out traffic between those workloads? Do we? Do you love right? Your esteem and infrastructure or do you actually use, for example, the backbone that the cloud provider provides you in case of Microsoft? They guarantee you the traffic between regions stay in their backbone. So gifts, asshole, new opportunities to leverage large providers. Backbone. >> And this is an interesting nuance point because multi cloud doesn't have to be. That's workload. Spreading the workload across three different clouds. It's this workload works on saving Amazon. This workload works on Azure. This workload works on another cloud that's multi cloud from a reality standpoint today, so that implies that most every country will be multi cloud for sure. But workloads might have a single cloud for either the routing and the transit security with the data stored. And that's okay, too. >> Yeah, yeah, and keep in mind, Cloud is not only infrastructure or platform is the service. It's also software as a service. So as soon as we have sales forests, work day office 3 65 dropbox or box, then we are multiplied. >> So basically the clouds are fighting it out by the applications that they support and the infrastructure behind. Exactly. All right, well, what's next for you? You're on the road. You guys doing a lot of customer activity. What's the coolest thing that you're seeing in the customer base from open system standpoint that you like to share with the audience? >> Um, so again, it's just cool to see that customers realized that there's plenty of opportunities. And just to see how we go through that evolution with our customers, were they initially or little concerned? But then eventually we see that actually, the network change drives new business project and customers air happy that they launched or collaborate with us. That's what that's what makes me happy and makes me and a continuing down that path >> and securing it is a key. Yeah, he wins in this market Having security? >> Absolutely. Yeah, Sylvia saying mind and not wake up at 2 a.m. Full sweat, because here >> we'll manage. Service is a preferred for my people like to consume and procure product in So congratulations and congressional on your Silicon Valley office looking for chatting more. I'm John for here in the keep studios for cute conversation. Thanks for watching
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theCUBE Insights | Citrix Synergy 2019
>> live from Atlanta, Georgia. It's the two you covering Citric synergy, Atlanta 2019. Brought to You by Citrix. >> Hey, welcome back to the Cube. Lisa Martin with Keith Tones in wrapping up Day two Vault Evil coverage of Citrix Energy. 2019 Keith. What a two days we have had. >> This was not a boring show. This has been really exciting. >> It has my cheeks hurt from smiling. >> You know what I've been to shows where the messaging can be repetitive. What we did almost 20 interviews over the past couple of days talking to executives, three of the their customers, all that actually more than three cups way. We talkto four customers, and all the conversations have been different and dynamic and exciting. And that's really great to say about Citrix again. Citrix is exciting. If I were a citrus customer today at, definitely invite them and get it, and I didn't make the show at my invite him in and have a conversation find out what's going on. The intelligent experience is a secretion said. They've been working on it for a few years, releasing today not a surprise, but definitely a great start. >> Absolutely. You know, they came out of the gates yesterday morning in the general session. Really, with this massive pivot for Citrix of really developing technology for the end user for four, rather the general user like those who are not power users, those who shouldn't have to become power users to do their job, whether they're in supply, chain our marketing or finance. So that pivot towards that general purpose user, which is the majority of users, was very ostensible. And it was welcome from not just all the customers we talked about, the analysts as well. Yeah, I think that's >> one of those things that you look at A a Iot. You've said something repeatedly that interesting stat We heard yesterday that applications are designed for the 1% the power user and what we heard today wass the basically commoditization of a I and M l. I've always thought that a M l A. At some point, we'll get to the point that we can push it down to the user and the user would use a female of the same with the use Microsoft excel Today, Citrix is kind of flipped it on me and and and presented way to use a i M. L in a way that I had not thought of, which is to take processes. Business process is not it processes, but business processes packaged them up. What, no matter what APS, they're being used to deliver that process package stat up into a micro, eh? And in users themselves will be able to build a Christian Riley Citrix. CTO said he's mostly aside. That was a great question. Next, mostly aside of about 2019 putting this builder, the citric builder in a hands of not T administrators. But business process. >> So and I wish we had more time on that front. I was curious. What does that do to shadow it? T empowering this business users? Just that I don't want it to get your perspectives on that. Yeah, >> So you know what? It's exciting and scary at the same time. You know, the idea of that a business user can automate a process, and what she takes data out of one system and put it into another one on surface is pretty cool. But I've been kind of keeping my eye out on this multi cloud thing. What happens from a security perspective. When a user build something and eight of us and they have sales force and they have their Oracle database online and they create a workflow, this builder will give them the capability to basically built a multi cloud. I'm quoting, calling at, ah, multi cloud business process that becomes that becomes a competitive advantage to the business and then becomes a business critical application as a result. So you know what we're I see why the excitement is there but from, you know, just a bureaucratic person that's over 20 years of experience and just can't get out of me. There's a lot t kind of just be Riri of and planned for. It's all good stuff >> it is. But you're right, you bring up. You know, I just was kind of envisioning this proliferation of pipe of these sort of custom applications that lines of business users are going to be able to build a lot of enablement there. But then, of course, in terms of this application, exponential growth within a company, what are some of the implications you talked about security. We talked about that a lot the last couple of days, so that's absolutely critical, but in terms of that AP proliferation, what are your thoughts on that? >> You know you >> think about, would you? >> Interesting term, early nineties or late nineties. And we're just in e commerce. And it was very controversial. Amazon was patterning business processes. The one klick to purchase was a big, big deal. Competitors couldn't do that in users who have a completely different perspective. Teo, too. This is a tool. You know, it doesn't matter if this is a Samsung phone. IPhone doesn't matter. This is the tool so that I can get a business thing done. The results. You know, where we've put imaginary barriers, you know, the S 400 sales force shall never touch. Well, it's business. Users will destroy those barriers. They'll see these applications, they'll see these uses. And then we were on to, you know, typical problems. You will create 1,000 of these in a single organization. How did you find them? Like you're out discovery. 1,000 When you want a new app on your iPhone finding, they have to do it a specific thing. You know, Aiken probably search for flashlight on my iPhone and get you what? apse. Which one is the one for my process and best for my process. I can see that at proliferation, been a problem in the enterprise, >> something that we'll have to keep our eyes on. Another thing I was curious to get your feedback on is our p. A. You are the one of the first ones and Twitter to call that out yesterday, saying Alright of Citrix wants >> to be >> delivering the future of work. Automation is going to be essential. And then voila! There's the intelligent experience, but something that we heard a lot yesterday as well. We hear this at every show. Is these massive workforce talent shortages that we're going to be seeing in the next few years? Some industries are already facing them. So, looking at the talent shortage and then the concern over A and R P taking over jobs, they seem to sort of do balance each other out. I'm sure it's not that simple. Yeah, >> we've talked about this awful lot in my circles. There were some people who just won't be able to make the transition to being to delivering higher value, uh, work output. My son talked about a co worker who did not know how to maximize excel. And, you know, we look at that now kind of chuckle, maybe >> a little bit, >> but that's painful. What? What happens when that when our P A auto makes their job their job? Is it definitely ah, process that there could be automated? But on the flip side, we need people to write our Ph scripts. We need people to, you know, way talked about. You know, there always be someone to operate. The robots are is a definitely area that we know not only need people talk, create the robots. We need someone to maintain them. What happens when a regulation changes? You know, Christian talks about liability if something is automated, and we forget that it's automated regulation changes and we continue to go along with the automated process and we're in violation of a standard or compliance law. Wei need someone to go in and quickly make a change. Who are these people? Were those that talent coming from and then this place workers. How do we find work for them to do this value? Add that they could make the transition to do so. It's a lot of complicated questions yet to be answered. >> Well, another thing that was really obvious the last couple of days is the bread of customer success. That's Citric, says having we were able to talk without you. Mentioned four customers from the Miami Marlins. So Major League Baseball to financial managed, a wealth manager company, Schroeder's in the UK We spoke with Indiana University based here in the States and and what they're doing to enable end users like you and me from students. Two consumers of wealth management technology to baseball fans is radically different. But at the same time, it's all about delivering this experience that's personalized. That's customized and tailored to what each individual wants to achieve. And this >> is without even giving the new product from cities We had Dana Garner Alice on earlier today, who said that Citrix really needs to to their own horn. There should be a Citrix inside. I remember early SAS products from companies like a teepee, uh, get support calls on it. I go Teo and uses death type, and they say I'm using this ADP software. This is before a stall for as the service was really a big thing and I looked at him. Oh, this's just Citrix going into another, going into, ah, data center somewhere else. Today, that is very much a sass service, and Citrix is an underlying foundation of that. So it was no surprise from a technology your perspective to see what you are doing. Or is that effort was doing, or a shoulder or even the Marlins? What was surprising was the impact they're having, you know, the providing, ah, accessibility applications to rule parts of Indiana. Ah, the 200,000 in points from a university. This is not, you know, you think of 200,000. There's a lot of clouds. Ah, Cloud company's ass Cos that would love to have 200,000 device is accessing its infrastructure. So extremely diverse set of customers that sister says, And the capability, even without the products announced today, uh, pretty exciting, >> I'm excited to hear and the next, you know, six months or so from those beta customers who've been testing out intelligent experience and seeing what other enhanced business outcomes they're achieving, also wanted to get your perspective on what you heard of the last couple of days with respect to How does it change the game for Citrix from a competitive advantage standpoint? >> Yeah, the tweeted out that Veum where is either going to acquire or quickly announced a Arpaio type solution? This is something that businesses will care about. This is not something that can be ignored. You AI path, which is a complimentary solution to Citrix, just got a $568,000,000 Roundy. Let's put this in perspective. We're hearing software companies get $60,000,000 rounds to create hardware. This is a salt for on Lee Company. A machine learning that does R. P s were robotic process automation. Investors are seeing the value in this company enough that they're going to give a software company who doesn't have buildings they don't have. Uh, this is just to invest in sales. Portia sells people in R and D $568,000,000 to make it happen. You're going to see competitors like being where citrus is a friend of mine. I'm sorry. Nutanix is a frenemy of say tricks, you know, they go to market a lot together, but they have their frame solution. Citrus is, I think, put, you know, all in and said You know what? V m word nutanix frame put up or shut up. This is this is you know, this is this is a seismic move in industry. >> So I gather that you're leaving here pleasantly surprised by some of the things that were unveiled. >> I did not expect Citrix to move so quickly into our p a roar wanted process automation. And this is not something that they thought of last minute. So you know, Christian said they've been working on this for three years. So this is something that they've given quite a bit of thought to. If the same thought hasn't happened already at frame that competitive solution for desktop as a service or if it hasn't already happened. And bm we're workspace and they're set of Ah VD I solutions than Citrix is obviously three years ahead >> and your thoughts on the announcements with respect to deepening relationships and partnerships with Microsoft with Google. >> Yeah, and some of that. It is catch up the VM where has had a solution with azure for quite some time bringing desktops as a service there. So then where has a slight lead on that? But Citrix you know what? Citrix is still a verb. The even when customers are using other solutions, they say You just like this the Kleenex I'm like I would like Citrix access. Well, it's horizon, this frame, whatever I want. I need to get my job done, and I hear that I have to get a citrus account to get it done. So I think Citrix has definitely caught up with both Nutanix when tannic says the Airframe solution and VM, where we're horizon with solutions and azure and then what went on in that? What went, I think unnoticed is that Citrix partners with Veum where to deliver the Xan desktop solution. And then where's via MacLeod on a W S O. That went unnoticed over the past couple of days. But again, more choice. If I were a customer looking at VD I desktop workspace modernization, be pretty excited about my options in the competitive landscape. >> Think they did a great job of positioning themselves as being enablers of the future of work? We talked a lot about today's workforce with five generations of active workers. We saw a great example of I guess a baby boomer with Dr Madeleine Albright on stage, it's going to get 82 years old. See here, >> Baby Boomer, which issues of the greatest generation? I think she's that fifth thatyou know that fifth oldest generation, 82 years old, And I hope >> I'm not >> a sharp is that now. And I'm a little bit more than half that age told, uh, it's not looking too good for me. >> I mean, either way, how she talked about when she was secretary of state, didn't have a computer on her desk. And now she's writing in driverless vehicles >> and presenting at tech conferences and with respect. This is not always Automat Mall. Albright. What? What can she have to offer us? It was an engaged audience, Uh, even with purse like leaning on political power policies. She gets some, and she got a standing ovation at a tech conference. So, you know, it's an amazing testament to what you can offer. No matter you're your age. >> Exactly, and Citrix is doing a great job of being able to deliver and enable their customers to help all of their workers at any age at any generation. Just get the stuff done. Keep it has been such a great time. Such a pleasure working with you for the last couple of days. Thank you for being my partner in crime. >> Turned out better than we hoped. We said we were gonna have fun. I think we have more fun than we thought we would. >> I agree. Well, thanks so much. Say, flight home. I know. I'll see if the next show sometime in some city soon. >> You know, the Cube is at four places right now. I'm pretty sure we'll be in the same location. Pretty So >> I think so. Keith and I want to thank you so much for watching the cubes to day coverage of citric synergy. 2019 from Atlanta, Georgia, We've had a blast. We hope you've had a blast watching. Thank you.
SUMMARY :
It's the two you covering Citric What a two days This was not a boring show. And that's really great to say about Citrix again. for the end user for four, rather the general user like those who are not power users, and the user would use a female of the same with the use Microsoft excel Today, What does that do to You know, the idea of that a business user We talked about that a lot the last couple of days, so that's absolutely critical, I can see that at proliferation, been a problem in the enterprise, p. A. You are the one of the first ones and Twitter to call that out yesterday, saying Alright of Citrix wants Automation is going to be essential. you know, we look at that now kind of chuckle, maybe But on the flip side, we need people to write our Ph scripts. is the bread of customer success. This is before a stall for as the service was really a big thing and I looked at him. This is this is you know, this is this is a seismic move in industry. So you know, and your thoughts on the announcements with respect to deepening relationships and partnerships I need to get my job done, and I hear that I have to get a citrus it's going to get 82 years old. And I'm a little bit more than half that age told, uh, I mean, either way, how she talked about when she was secretary of state, didn't have a computer on her desk. What can she have to offer us? Exactly, and Citrix is doing a great job of being able to deliver and enable their customers I think we have more fun than we thought we would. I'll see if the next show sometime in some You know, the Cube is at four places right now. Keith and I want to thank you so much for watching the cubes to day coverage of
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Dana Gardner, Interarbor Solutions | Citrix Synergy 2019
>> Live from Atlanta, Georgia, It's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Hey, welcome back to theCUBE's coverage day two of our coverage of Citrix Synergy 2019. Lisa Martin with my cohost Keith Townsend, and we've got another CUBE alumni joining us, Dana Gardner, President and Principle Analyst at Interarbor Solutions. >> Sorry, my language skills are declining on day two. >> It's been a long day. >> It has been a long day. We've had, speaking of, had a lot of great conversations with Citrix Execs, customers, analysts over the last day and a half. People are very excited about what Citrix is doing with intelligence, experience, and really helping businesses to transform their workforces. But you have been following Citrix for a long time. >> Yes. >> So, talk to us about some of the early days back in the 90's. I'd love to get your perspectives on what you saw back then and what your thoughts are about some of the things that they're announcing at this event. >> Sure, well back in 1995-1996, the internet was still the new kid on the block, and browsers were kind of cool but, how would they ever help a business? And then, along comes this company that says, "Oh, we're not going to deliver things through a browser, we're going to deliver the whole app experience, apps that you're familiar with, your Windows-based apps over the wire. Over the internet protocol." Wow, so I remember at Internet Expo in New York at the Javits Center, Ed Iacobucci, The co-founder of Citrix got up there and explained how, yeah, we're going to deliver apps. And basically what they were describing is cloud computing as we know it today. Wow, it was very interesting, but we all kind of look at him like he was a little crazy. (host laughing) Yes. >> And, that's been a long time, man. Citrix has made a name for itself since then. You know, the day I was talking to David Hansel, yesterday and I said, "You know what, Citrix is a verb. I'm going to Citrix in an application. They established something for themselves." And, ironically, on stage yesterday he said, "85 percent of the IT budget goes to keeping the lights on." And I would firmly, as pre-kenote yesterday I'd say, you know what Citrix is firmly in that 85 percent of, they are rock, fast, hard technology partner, but they're in that 85 percent. But this intelligent experience I think kind of pushes them into that 15 percent of innovation. What did you think about yesterday's announcement? >> Well, based on my memory from 1996, I think it's consistent. That they're looking for something that's two or three years, maybe more out that will mature then. But they're not afraid of tackling it now. They had some really strong established businesses, but they're not resting on their laurels. They're looking at, I think a problem that almost everybody can identify with. In the past, their problems were people they could identify with in IT. The end user wasn't aware that anybody was Citrixing behind the scenes. Now, they're identifying issues that people have with work. The fact they were taking apps and services from multiple clouds, multiple data centers some of them our own company, some of our partners, some across an ecosystem or a supply chain, and it's becoming rather crowded. Disenfranchised. Fragmented. And people, I think are struggling to keep up with that amount of diversity. So, we're dealing with, yet again a heterogeneity problem, a reoccurring problem in technology. And Citrix is identifying with something that's a higher elevation than they had in the past. So, they're not addressing just IT although, that's where the actions going to take place to solve some of these problems. But they're focused on just about all of us. Whether we're working in a small, two or three person mom and pop shop or a 30,000 seat enterprise. >> And they've also done this pivot in the last, what we've heard in the last 24 hours, of really being positioned to the general user. Something that I didn't know until yesterday was that the majority of enterprise software has been designed for power users, which is one percent of the users. And so, they've really made that positioning pivot yesterday to, this is for the Marketing Managers, somebody in supply chain who has a day that is bombarded with seven to ten apps. They're losing hours and hours of productivity a week. You can look at that in terms of the amount of dollars that's being spent or wasted. But really making this, bringing those tasks to the user, those actions to the user. Rather than forcing the users to go out to all the different apps, put those pieces together. Oh, and then trying to get back to our actual day-to-day function. >> Right, we wouldn't have to talk about user experience if these things had been designed properly in the first place. It's a bit myopic on behalf of the IT power designer, that they often craft the product for themselves. That, this is still the dark arts behind the curtain thinking. It's very difficult for a highly efficient, productive IT group to create something for a non-IT audience. And I don't blame them, but it has to happen. It's going to happen one way or the other. So, we've seen companies that have taken extraordinary steps on usability, Apple computer is probably the poster child for this. Look at where it got them. There were lots of mobile phones around ten years ago, before the iPhone. Why did the iPhone become so popular, so dominant? Because of the usability. So, Citrix is I think, perhaps doing IT a favor by getting out in front of this. But still, if we're going to get IT in the hands of all people for productivity, what I look to is a fit-for-purpose mentality. No more, no less. You can't design it as if it's your own baby and your own special design, I don't know, once in a lifetime opportunity to strut your stuff. It has to be fit-for-purpose and it can't just be monolithic, where we're looking at little bits and pieces. So, the software's recent acquisition that Citrix made is going to be able to start picking out productivity units, for lack of a better term, from different applications, assimilate those in an environment, the workspace, where the productivity, the work flow, the goal of accomplishing business outcomes comes first and foremost. >> So Dana, let's talk a little bit about, you know the next level. Because it's broken. Even when you look at modern applications, one of the applications they showed on stage yesterday, was a cloud application. Salesforce. I mean, we know a people who make a good deal of money simplifying Salesforce, which is a born in the cloud application. This isn't just about cloud versus legacy, this is about end-user experiences, and end-users using applications in a way that makes them productive. One of the things that caught me as soon as Citrix said that they want to be the future of work, I tweeted out, "Well, you can't be the future of work unless you start to automate processes," and boom, intelligent experience. And the first thing that came to my mind was when we attended an event a couple weeks ago for RPA, Robotic Process Automation tool, that was very user-centric, but used the term "bots". Robots, sulfer robots that did the job. Citrix only used the term, "bots" once yesterday. What's your sense, is this a competitive solution to those partners? Or is this more of a complementary solution? >> I think Citrix is correctly trying to keep the horse in front of the cart and not the other way around. We have to look at work as flows of productivity first, and not conforming to the app second. But to get out in front and say, "Oh, it's all going to be animated and the robot will tell you what to do," I think does a disservice. So, let's take first things first. But let's not also lose track of the fact that by elevating work to a process and not just being locked into one platform, one cloud, one set of microservices on one framework, that we have the opportunity to integrate in analytics along the whole path. From beginning to end. And that we can even have the context of what you're doing feed back into how the analytics come at you. And reinforce one another. So, we need to get the process stuff set first. we need to recognize that people need to rethink getting off a desktop, getting out of email, looking at the full process. Looking at working across organizational boundaries. So, extra enterprise, supply-chain interactions, contingent workforce. Then, bring in analytics. So, first things first but it's going to be a very interesting mash-up when we can elevate process, get out of sort of silos, manage that heterogeneity and inject intelligence and context along the way. That changes the game. >> So, you've seen the workforce dramatically transform throughout your career. There are five generations of people in the workforce today. Madeleine Albright, there she was on stage this morning, 82 years old. I thought that was, what an inspiration? But companies have different generations, different experiences, different experiences with technology, differing expectations. What, in your opinion, did you hear yesterday from Citrix that is going to help businesses enable five different generations to be as productive as they want to be. >> Right, it's an extension of what Citrix has been doing for decades, and it's allowing more flexibility into where you are is accommodated. What device you're using can be accommodated. The fact that you want to be outside your home office but secure can be accommodated. So, what I heard was instead of locking in an application mentality, where everybody has to learn to use the same app, we need to have flexibility. And it's not just ages and generations. It's geographics, it's language, it's culture. People do business and they do work differently around the world. And they should be very well entitled to continue to do that. So, we need to create the systems that adjust to the people and read the people's work habits. And then reinforce them rather than force them into, let's say a monolithic ERP type of affair. And we've know that a large percentage of ERP projects over the years have failed. And it's not that the technology doesn't work, it's that sometimes, you can put a round peg in a square hole. >> Wow, speaking of round peg, square hole, IT, you know, they're preaching to the choir I think on this piece. You know, we want thing to be simpler. We want to get engaged. We want to solve this problem. But, is Citrix talking to the wrong audience when it comes to process automation? To your point, you have to have the large view of it, and a lot of timeS, especially folks at this conference, may not have the large view. How does Citrix get to the CMO's the COO's, the process people versus the technology folks. >> I think that's a significant challenge. Keith and I recorded a podcast with David Henchel earlier today and it'll be out in a few weeks on Briefings Direct, and I asked him that, I said, "You're well-known in the IT department. They use a verb, they're Citrixing. The end user, not so much. But if you're going to impact work as you intend to and as you've laid out here at Synergy, you do need to become more of a household word, and you need to brand and you need to impact." And we know one of the hardest things to do is to get people to change their behavior. You don't do that behind the scenes. In some ways, Citrix has been very modest. They haven't been the Citrix inside, they haven't branded and gone to market with. They've usually let their partners like Microsoft and now even Google Cloud be on the front page, even as they're behind the scenes. But I think they need to think a little bit differently. If they're going to impact people, people need to understand the value that Citrix is bringing. But identifying themselves as they have at this show with work and productivity issues, usability and intelligence will start that process. But I do think they can go further on their go-to-market and not just bring this message to their sales accounts, but to a larger work productivity, human capital management enterprise architect type of base. >> And they are making those impacts. Keith and I today have already spoken with their three innovation award nominees. There were over a thousand nominations. And we spoke with Schroders, which is a wealth management company based out of the UK and how they have been able, a 200 year old company, to really transform their culture with Citrix's workspace was, it was done so strategically, so methodically. But how they enabled that and a seamless integration in terms of their customer experience and engagement with their wealth managers was really compelling. Not only are they able to retain their probably longstanding wealth management clients, but they have the ability now, and the technology capabilities to allow their people to work remote three days a week if they want to or from wherever, and actually work on getting new clients. So, the business impact is really clear. We also spoke with Indiana University. They have gone from just enabling the students on the seven campuses to 130,000 plus across campuses online. They're enabling sight impaired people to also, by virtualization, have access to computer technology. So, you're talking about going from tens of thousands to a ten X at a minimum multiplier, and enabling professors to have conversations and hold classes with people in Budapest. Big impact. >> So Lisa, you're bringing up the point that user experience isn't just employing experience, it's end user and-- >> Absolutely >> Consumer experience. If you're going to do this and do it right, don't consider it just for your employees. It's for reaching out to the very edge of the markets, and that includes consumers and students and mom and pop shops and everything in-between. So when you do this right, and not only will you be delivering intelligence and context to your employees, you'll be able to start to better serve your customers. And that's what digital transformation is really about. >> It is, and the cultural transformation that Citrix is undergoing and that they're enabling their businesses to achieve, like the two we just talked about, are critical catalysts for digital transformation. But to me, employee experience and customer experiences are hand in hand because every employee, whatever function you're in, in some way you're a touchpoint to the customer. If you're in retail, you're presenting a shop-able moment as often as you can. But you also are dealing with customers who have choice to turn and go to another provider of that product or service. So, having those employees not only be satisfied, but have the tools that they need and the intelligence to deliver the content. >> So, I'd be happy to go to a brick and mortor shop. I'll walk in there physically if they can help me in the shopping experience be smarter, but if I can do it online in my bedroom on my browser, then I'll do it there. So it's no so much the interface or even the place anymore, it's who's going to give me the information to make the right decision and make me feel confident that I'm spending my money the most productively. Whether I'm a consumer or a business. So B-to-B. That's what's going to be the killer app, is the smart decision making, and the experience of bringing the right information, right place, right time. That's key. And that's what Citrix has repositioned itself for. I think it's really quite a dramatic shift for the company but they've done it before. >> Well, Dana it's been great having you back on theCUBE unpacking this. It's been an exciting day and a half for us and we look forward to having you back on theCUBE sometime soon. >> My pleasure. >> For Keith Townsend, I'm Lisa Martin. You're watching theCUBE Live from Citrix Synergy 2019. Thanks for watching.
SUMMARY :
Brought to you by Citrix. and we've got another CUBE alumni joining us, analysts over the last day and a half. So, talk to us about some of the early days the internet was still the new kid on the block, "85 percent of the IT budget goes to are struggling to keep up with You can look at that in terms of the amount of dollars It's a bit myopic on behalf of the IT power designer, And the first thing that came to my mind and not conforming to the app second. that is going to help businesses And it's not that the technology doesn't work, But, is Citrix talking to the wrong audience But I think they need to think a little bit differently. on the seven campuses to It's for reaching out to the very edge of the markets, and the intelligence to deliver the content. and the experience of bringing and we look forward to having you back on theCUBE Thanks for watching.
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Anil Chakravarthy, Informatica | Informatica World 2019
>> Live, from Las Vegas it's theCUBE. Covering Informatica World 2019. Brought to you by Informatica. >> Welcome back everyone to theCUBE's live coverage of Informatica World 2019 here in Las Vegas. I'm your host Rebecca Knight along with my co-host John Furrier. We are joined by Anil Chakravarthy. He is the chief executive officer at Informatica. Thank you so much for returning to theCUBE. >> Oh my pleasure, thanks for having me back on your show here. >> So, on the main stage this morning you said that AI and ML need data, but data needs ML and AI. >> That's right. >> Can you just elaborate on that, riff on that a little bit. >> Yeah, yeah. You know if you look at AI and ML, hot topic obviously, every company is trying to take advantage of new machine learning AI technologies. One of the key components of making that happen is the availability of the right data, because you have to train these machine learning algorithms, the data scientists have to be able to find the right data, and then they have to prepare the right data, make sure that they have access to the data, clean it up, and then put it into their AI models into their AI algorithms and so on. Because the training of the algorithms is very sensitive to the quality of the data. It's really garbage in garbage out. If you don't feed it the right data, the results will be skewed. And so, that's the key part of what we mean by when we say AI machine learning needs data. The flip side is in what we do and help customers, which is manage their vast complexity and scale of data. If you look at customers petabytes of data, thousands of databases, hundreds of thousands of cables, so how do they manage all of the data? Because the management of data is not just about availability of data or the performance of those systems and so on. All that is super important, but it's also the security of the data, the governance of the data, the availability of the data to the right users at the right time. Trying to do all that manually, you just can't keep up and that's where you need machine learning and AI to be able to do that for you in an automated manner. >> Anil, we've talked in the past multiple years ago. Every year, it's the same story. You guys had on that RightWave data everyone is now talking about what you were talking about four years ago. >> Yep. You're continuing to talk about it and adding to it. You also talk about being the Switzerland the neutral third party, because data needs to connect around >> Right from multiple sources. You had a lot of industry players up on stage today. How is that going? How are you continuing to be that role in the industry as more and more people come in? What's it say about the momentum and for Informatica strategy? >> Yeah, I think it's really because of what customers really want. Take any customer, any enterprise customer or government customer, of any scale, they're usually using a lot of different both on-premise and cloud, technology offerings. So it could be multiple software service offerings, multiple maybe public clouds, where they're running it as platform of service. A lot of different on-premise offerings et cetera. Which means that all of those offerings that they're using have a data footprint. From a customer's perspective, if they're using different tools to manage the data for each one of those well they have all the old problems they've always had. Data inconsistency, inability to manage it, and just who's going to learn, if you're a data administrator, are you going to learn four or five different tools to manage it? So that's does not really going to work. That's where customers are demanding hey, I need a data management platform that can help me manage the data consistently and that's where we come in, that's what helps us be the Switzerland of data. >> So data feeds machine learning, machine learning powers AI. This is the formula you guys talk about all the time. No data, no AI. But if data is constrained, from either infrastructure legacy, or a regulation, that's going to slow the feeder concept down >> Yeah. or maybe incomplete data. This is really about operationalizing AI so this is, you've got to solve that data problem first if you want to scale up operations around AI. What's the state of the art from Informatica? What are you guys doing in this area and where is the customers' progress in this new operationalizing of AI with data at the heart of it? >> Yes, from an operationalization perspective, what you need is, first of all, help your data scientists and others using AI to find the right data. Finding the right data, you do it through the catalog, for example, it'll tell you what data you can access and then what's the metadata around the data, what you can use the data for. Maybe there's some data that you say look, we have the data set but we don't have the customers opt-in to use that data. Fine, you can't use that data. That's the first step, finding the right data. Then getting access to that data that's what you get through an integration, the cloud tools, the big data tools, et cetera. Then you prepare the data. We have a number of tools to prepare the data to make sure that the AI and machine learning models can use them well. Then you feed the data. You run it, you get your result, but then the explain-ability is a big deal. Whether it's regulators or even your own internal executives. They say, oh that's the result of running the AI model but how did it come to that decision? You know, for instance, in financial services, if you're using AI to do, let's say, a decision on who gets to get a loan or not, well you have to make sure that there is no bias in that, right? In order to explain the result, you need to know where the source data came from. That's what we do as well, through our governance and lineage. >> Well we'd love talkin about SAS success you look at the cloud-native, born in the cloud, great examples how data has really been driving the new generation of innovation. The more enterprises we talk to around digital transformation, the more that we hear we want to be consumer-like. >> Yeah. With a SAS, whether it's an app for banking or an IoT app, or anything. SAS is kind of an unique data for that. How should a enterprise architect that solution? Because it's harder when you don't have clean, one cloud native so you got to bring in some cloud, you got to bring in the on-premise. Where does the data sit (laughs) in all this? How do you architect the data on-premise, in the cloud, or in general, so that the customers have a really, road map to a SAS solution? >> It's a great question, you know. What you see right now is the focus on building it through customer data platform. We obviously just acquired a company, AllSight, that helps build the get inside sort of the customer data platform. The way we think of it at Informatica is you have a customer data platform, well then the last mile of how you reach the customer, keeps changing and evolving. That last mile could be through a call center. It could be through a web application. It could be through a mobile app. It could be through a sales person, who is reaching the customer with a live interaction. It could be a lot of different ones and it could be all of them. That's where the omnichannel comes in. The way to do what you are asking for, John is to truly focus on building a customer data platform that can support multiple kinds of last mile when it comes to actually interacting with the customer. That's how you ensure a very good, consistent, customer experience. And then you take advantage of whatever the latest technologies. Tomorrow, like we were just talking about here, if there is AI enabled bots or something else that's a better way of interacting with the customer, you're still working off of the same consistent customer data platform. That's how we see it. >> I want to ask you about the skills gap. >> Yeah. >> We know that there is a great demand for people who are data scientists, experts in cloud and analytics, and yet there are so few qualified candidates. >> That's right. >> I want to hear your thoughts about it and then also what Informatica is doing to make sure you are recruiting and retaining the right employees. >> Yeah, I think one I completely agree with you on the skills gap and obviously that's also a great opportunity as well, because, in reality a lot of the younger folks are looking at what careers they want to pursue. With the right mindset and the right training these will be great careers for them. There's also, the other great thing about this is this is across the country and across the world so you don't have to be in a specific location to have a successful career as a data scientist or as a data steward, et cetera et cetera. I think from a training perspective we are actually working with a number of different universities. We actually started working with Indiana University to build a curriculum that can then be available online available to a lot of different folks. We obviously work with a lot of different system integrators and consulting partners who hire hundreds of thousands of people and they are starting to build some very very large practices around data science. That's another avenue for career growth there. And last, we're also starting at a much younger age. Last year we talked about the next 25 program and tomorrow, when Sally is back on stage, you will see an update on the next 25 program. Were trying to get kids at the middle school level interested in this as a career. >> Anil, real quick on the follow up on that is what curriculum specifically do you see in high demand? Is it machine learning? Is it analytics? Is it cognitive? What specific skills that you see in demand and for folks to start thinking about? >> I think what my advice to folks, in fact my daughter is a freshman in college too and I've been giving her the same advice because I think this is a great way to go, is when you think of skills development first think of a broad platform that will give you the right skills regardless of the changes in technology, because technology will keep changing. So what is that broad platform? The broad platform is, I think you need a background in statistics, you need a background in computer modeling and programming, and you need a broad platform in overall math. And again, I don't mean to scare anybody, it's not calculus level math, but it's math that helps you understand concepts et cetera. That's the broad foundation you need. Then you have a number of different new technologies whether it's Python, whether it's Math Lab. There are a lot of different ways of approaching and doing data science. But then, once you have that foundation, it's easy to pick this up. And the rest of it, just like in any other job, once you start doin it, you're going to pick up the rest of it and you'll become an expert there. >> Great. Amil Chakravarthy, thank you so much for coming back to theCUBE. >> Perfect, thank you so much for having me. >> Yeah, thanks for havin us. >> Thank you. >> You are watching theCUBE Informatica 2019. I'm Rebecca Knight, for John Furrier, stay tuned. (electronic music)
SUMMARY :
Brought to you by Informatica. Thank you so much for returning to theCUBE. back on your show here. you said that AI and ML need data, Can you just elaborate and that's where you need machine learning and AI what you were talking about You also talk about being the Switzerland How are you continuing to be are you going to learn four or five This is the formula you guys talk about all the time. What are you guys doing in this area Finding the right data, you do it through the catalog, you look at the cloud-native, born in the cloud, bring in some cloud, you got to bring in the on-premise. The way to do what you are asking for, John We know that there is you are recruiting and retaining the right employees. so you don't have to be in a specific location That's the broad foundation you need. thank you so much for coming back to theCUBE. You are watching theCUBE Informatica 2019.
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Beth Phalen & Sharad Rastogi, Dell EMC | Dell Technologies World 2019
>> live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen, brought to you by Del Technologies and its ecosystem partners. >> Hello. Welcome back to the Cube. At least a market with Dave Alonso. We are at Del Technologies World. This is our third day of coverage. As John has been saying, This is a cannon double cannon of Q content. We are pleased to welcome back a couple of alumni to keep. We've got Beth failing Presidents data Protection division from Italians. It's great to have you back. And Sherrod Rastogi also welcome back S VP of data protection product management Guys, Lots of news. The last three days, fifteen thousand or so people. Lot of partners. We've been hearing nothing but tremendous amount of positivity and also appreciation from your customers and partners for all of this collaboration within the Della Technologies company with partners. Some of the news, though, that you were on the keynote stage give us some anecdotes that you've heard from customers and partners the last few days about where Del Technologies is going. >> Yeah, I'm happy too. And you know, a big announcements this week. We're a power protect software and the power protect extra hundred appliance. And what we're hearing from customers is this is exactly what we needed to do because the demands on data protection are changing with more more. Brooke look being distributed with data being more more important and with the risks being more more prevalent that they were looking for us to take a bold step and introduce this next generation software to find platform. And so the feedback you're getting is you've done what you needed to do, and they're looking forward to learning more. >> So I wonder if we could sort of explore a little bit this concept of data management. So data management lead needs different things to different people. Sure, if your database person maybe maybe different from a person who's doing data protection, what does it mean in a data protection context? I think >> first of all, you know, having visibility off your data all across your infrastructure that resides in the edge. The court a cloud across multiple applications in physical virtual environments, right? So having full facility that I think is one component second is not the ability to move the data across seamlessly across any socially target but it is on track in the cloud. Robert Cloud. I think that sort of a second element, the third and probably the most important is how do you actually get value from the data, right? Already, Actually, not only unable to protect it, but make it available at the right time, right place for the right application and be able to use it because, as you know, data is the fuel of the modern visual economy. On making it available is really, really critical. And that to me. So you're combining all of that is what I would consider it at management to be. >> So double click on that. I mean, could you be more specific about the attributes of, you know, a modern data management system? So I >> would say, you know, any modern technology may be modular FBI driven, you know, it really sort of the automate scale performance coverage. All those attributes, I think are very important for any more than data protection product and be able to meet the needs of our customers. You know, high scale hi coverage and rapidly, >> and that gives you a cloud like experience presumably allows you to scale out many a performance. I've seen some of the conversations that start associating with that or scale in place Bath. You talked about that? Yeah, Well, yeah. I want to explore a little bit about your business because you know who knew? Who would have predicted a few years ago? The data protection would always because all of a sudden become this hot space veces diving in hundreds and hundreds of millions of dollars being spent. And of course, you're the biggest player. So everybody wants a piece of your hide. And so and you got a portfolio. It goes back up llegado days. They have amar stuff data, domaine et cetera, et cetera. She had a sort of make sure that that was logical for your customers. Protect those customers that have made investment of you, but also shoma roadmap. Jeff Clark comes in, says, Okay, we're going to simplify, you know, marching orders. Your business in a very rapid time has transformed. Can you talk about that? What's what's taking place in your business? >> Absolutely, David, it's so interesting even comparing last year to this year, right? We're at this pivot point where we're building on the legacy of Trust and I T and knowledge and experience that we have. But we're now setting the foundation to be number one and data protection and data management for the next ten years. Introducing this new set of products were able to bring a customer's forward. We call it the path to power. So in addition to that, bring new customers into the family. We're looking for all those aspects of modern day to management, with simplicity, with multi cloud, with automation and with the new use cases where it's more than just back up. It's CCD are its analytics. It's testing toe. It's validation. So this is whole spectrum of things that we can expand into now that we have this new platform. It's really exciting. >> It is exciting. And yesterday the under Armour video was very cool, and one of the things that they set in there is that there they're leveraging data for brand reputation. I mean, they've got under Armour has incredible brand ambassadors Tom Brady, Steph Curry. But looking at it as not just a business ever. But this is actually tied to our brand reputation, did. It is so incredibly pivotal to the lifeblood of a business. It has to be protected. >> Yeah, and that's a big theme. And you probably something too. But, you know, in this day and time data is no longer something that maybe people in I'd worry about write It is now the lifeblood of most of our customers, corporations and at the same time list, like the threat of malware are very prevalent. And so things like what we've done with cyber recovery always were working with our customers to protect their data. In a survey we just did. With twenty two hundred I t professionals, twenty eight percent of them had had some data loss in the last twelve months. So the risk of data loss is real. And we take our responsibility very seriously to help our customers protect from that risk. >> So I like this message to any source. Any target, any s l a. I would I would had any workload and because on so talk about you're differentiation in the marketplace, that would be great, because it's hard sometimes, you know, squint through all the marketing. And so what makes you guys different specifically thinking >> about Delhi emcee Indiana production historically has its strength in dealing with complex work clothes at high scale, with high performance on having a wide coverage of work has been a strength and actually had very low cost, very efficient, right? So that string we sort of carry on into the future. And what we're adding on is I would say that the next degree off simplification and ease off ease off, install, upgrade use. Making those work was very, very simple, right? So I think that's another dimension. We are God. We're adding our dimension, what we call multi dimensional scale, which is both scale up and scale out the same time when you actually add more notes and more cubes, you are not only capacity, but he also improved performance, right? That's it, architecturally, a fundamentally different way in Harvey approach it. So I think that's an element of innovation, and I think on performance we're introducing our first all flash off Lions industry first, So we're super excited about that. And so I think it just helped our customers in terms of restore interactions store Do those work was a lot faster. Those are some other elements in which we continue innovating. >> That's great. Yeah, so you talk about the power protect X four hundred, which is your flesh. John Rose said something on stage. Beth, I want to ask you, Teo, sort of add some color. Hey, said this is not just secondary storage. It's protected. Managed infrastructure, >> huh? That's great face. >> What? What did he mean by that? And what should we take away? >> I mean, it shows how we're broadening the use cases that these products can help satisfy. And so much of what we're talking about Del Technologies is a simplified infrastructure across the board, not thinking about just point products, but giving the customer that experience of a seamless extendable infrastructure. So protected managed infrastructure means that your infrastructure, something you have, can confidence it's protected and that you also are not just dealing with all of these pieces and parts. But I can think of it has a managed whole. I think that that helps out and talk to John about that. But that's what I take away from what he's saying. >> If I can just add to that, I would say Like, you know, data management is sort of the perfect glue across the whole del technology infrastructure, but a server storage bm We're, you know, eighty, you know, infrastructure pivotal, right? Data management data productions are off, cuts across everything, and we can bring everything together. So >> I would like to add something to that if I make it. You know Beth on sure Art as well. Data protection Backup was always OK. We gotta back it up. Who's gonna? Okay, Bump bolted on. And what's happening is the lines are blurring. Primary storage, secondary storage. You're seeing back up in the e r. Use cases. You talked about analytics and, you know, so many new emerging. That's why it is so exciting. And so because those lines are blurring, you get more value out of the system. It goes beyond just insurance. And that means this could be a lot of money being made here >> if there is. And it is also a really important need, write one thing that we haven't touched on. But I also think it's really important is with our protect we're helping combine self service with centralized governance. So what I mean by that is, if you're a V a madman or Oracle Adnan or a sequel admin, you know, you could have control over protecting your data, but we pair that with a single, you know, governance model. So if I'm the person is responsible for my company's entire, you know, data set, I can still make sure that everything's happening is it should be. And there are no anomalies, so we're really making it as easy as possible, for the business is within our customers to protect and manage their data but not making it the Wild West. Because somebody in the end is accountable for saying I know where all the data is, and I know it's protected, so it's having both of those users. >> So as data protection has really elevated, the stay was saying to become its way beyond an insurance policy. This is absolutely table stakes because data has so much value and so much value that organisations haven't even been able to extract it right, how the conversation within the customer base changed. It's not just to the admin girl or guy anymore. Rightness is Are you saying this really leveled up Tio? Maybe a senior level C level challenge as our business imperative that the state of must be protected and readily accessible at any time. Who are you talking to? >> So answer quickly that I lied to you when we're talking to the eye to decision makers. So seo no, that level data protection strategy has become something that they have in their priority list, right? It's not really in any way what it was maybe five or ten years ago. Now it's something that there's cord of what they hold as their responsibilities, executives and and that's great. It's great to have those kind of conversations because it's strategic. >> Another conversation. Just an example from yesterday, while speaking with one of the chief architects at a major company, they're really talking about cyber security on How do you use Extend? You know what we offer into a full solution across their technology. Do address, you know, doesn't use case right. So I think it's expanding beyond just back up and protection to true protection off the data. Very most mission critical data is available and not just protected. They also want to talk about how can you recover that real quickly in very quick time, so that your operation, when you do have that cyber, if and when you have that attack So I think it's just expanding toe touch. A lot more customers, I would say Our people buying, buying decision makers across >> so that when I talk to people in division I sense a renewed energy. A renewed focus. I mean, GMC before Del. Tell'Em Steve always been really good. Taking engineering resource is to getting products out to the market. But But I I see again more focused effort here and one of the exam to keep pushing on. Is this notion of cloud model so beyond? Just okay, there's a target. How do we now get to that? You know, data protection is a service small. I know that you're working toward that. I know it's, you know, a lot of it's It's early days there, but you've got to be a leader in that, I presume. So. I want to keep watching that pushing that I won if you guys could comment on what coming >> on, both things that you said. First of all, there's absolutely a level of excitement and focus and confidence in what we're doing in the product groups. I'm really changing the way we're developing software so that we have a new customer value coming out every quarter. And they were having clarity between the top level strategies. White downs, what individual engineers are working on. So that's fun and excited because we're truly transforming the way we're developing Product says point one. And the second one, absolutely here, that theme throughout all of what we're talking about. You heard a nun day one, No, giving people that cloud that experience infrastructure has a service which certainly includes data management and data protection so they can consume it in a way that fit step business that scales with business That's automated, that doesn't require, you know, massive manual steps and is more what people expect today was a cloud like experience, even for them on from data centers. Clearly, that's where we're moving. And this one more point is you know, people really want automation they don't wanna have to think about. Did I remember to protect everything? They want the system to do that for them. So you'LL see more of that from us as well. You know how we helping them with machine learning? An A I an automation so they can have confidence that all of the assets are protected even if they haven't remember to do it all. >> I mean, I just add to it. I've bean at Delhi emcee for about a year. >> It >> has been a fantastic journey waiting. It's exciting. It's been awesome. Awesome experience. I totally see the >> focus. And I think that renewed focus the cloud like a model and the innovation. They all go hand in hand because the old waterfall model of okay, we're gonna develop properties shipment every year, eighteen months. Whatever it is that doesn't fly anymore. People want innovations, and now they want to push code every day. Right? So our baby, every quarter at least. >> Yeah. Yeah. Facing new energy to the engineers as well. >> So I mean, I understand that many of your team, if not your entire engineering team, has been trained in agile. Is that my getting it right? Is that right? >> Yeah, yeah, >> not just not just like internal train. You guys brought in outside people and really took him through some formal training. Right >> way have in multiple different kinds of training. And we have lots of communications inside to get people coaching. And it's not just a process book that we're following its really a different way of thinking about how you bring customer value in small increments, staying in a good known stay and making sure that we're maximizing our engineering capacity. >> That's big. And I wish we had more time cause that's cultural train. Yeah, yeah, that you guys are really driving. And we also didn't have time to touch on partners, but it can imagine there's a lot of excitement and your huge partner community about what you guys are doing This. Congratulations on all the announcement is gonna have to have you back because there's just so much more to dig into. But back Sherrod, Thank you for joining David me this afternoon on the you go. >> Thank you so much >> for our pleasure. For Dave Volonte and Lisa Martin. You're watching the Cube live from Day three of Del Technologies, World twenty nineteen on the Cube. Thanks for watching
SUMMARY :
World twenty nineteen, brought to you by Del Technologies It's great to have you back. And you know, a big announcements this week. So data management lead needs different things to different people. first of all, you know, having visibility off your data all across your infrastructure I mean, could you be more specific about the attributes of, would say, you know, any modern technology may be modular FBI driven, And so and you got a portfolio. So in addition to that, bring new customers into the family. It is so incredibly pivotal to the lifeblood And so things like what we've done with cyber And so what makes you guys different specifically thinking And what we're adding on is I would say that the next Yeah, so you talk about the power protect X four hundred, which is your flesh. That's great face. can confidence it's protected and that you also are not just dealing with all of these pieces and parts. If I can just add to that, I would say Like, you know, data management is sort of the perfect glue across the whole You talked about analytics and, you know, so many new emerging. but we pair that with a single, you know, governance model. So as data protection has really elevated, the stay was saying to become its way beyond an insurance policy. So answer quickly that I lied to you when we're talking to the eye to decision makers. you know, doesn't use case right. I know it's, you know, a lot of it's It's early days And this one more point is you know, people really want automation I mean, I just add to it. I totally see the And I think that renewed focus the cloud like a model and So I mean, I understand that many of your team, if not your entire engineering team, You guys brought in outside people and really And it's not just a process book that we're following its Congratulations on all the announcement is gonna have to have for our pleasure.
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Day Two Wrap Up | PentahoWorld 2017
>> Narrator: Live from Orlando, Florida it's theCUBE covering PentahoWorld 2017. Brought to you by Hitachi Vantara. >> Welcome back to sunny Orlando everybody. This is theCUBE, the leader in live tech coverage, and this is our second day covering PentahoWorld 2017. theCUBE was here in 2015 when Pentaho had just been recently acquired by Hitachi. We then, let's see, around September timeframe we saw Hitachi rebrand, Hitachi Data Systems rebrand as Hitachi Vantara, bringing together three components of its business, the Hitachi Data Systems business, the Hitachi Insights business, and of course, the Pentaho Analytics platform. We heard yesterday from Brian Householder, the president and COO of Hitachi Vantara, what the strategy was. I thought he was a very crisp, clear presenter. The strategy made a lot of sense, it resonated. Obviously a lot of execution to be done. And then subsequently at the last two days we've heard largely from Pentaho practitioners who are applying this end to end analytics platform to really transform their businesses, to really become data driven supporting those digital transformations. So pretty positive story overall. A lot of work to be done. We got to see how this whole edge to outcome plays out. Sounds good. There's got to be some execution there. We got to see the ecosystem grow for sure. These guys got a great story. This conference should explode. >> It's really a validation for Pentaho. They've been on the market for more than a decade now as the spearhead for the open source analytics revolution in business analytics, and in predictive modeling, and in data integration, all of it open source. And they've come very far and they're really a blue chip solution program. I think this show has been a great validation of Pentaho's portfolio presence in the market. Now Hitachi Vantara has a gem of a core asset. Clearly, the storage market, the data center converged infrastructure, the core Hitachi Data Systems product lines, are starting to experience the low growth that such a mature space experiences. And clearly they're placing a strong bet on Hitachi Vantara that the IoT, that the edge analytics market, will just boom wide open. Hitachi Insight Group, which was only created last year by their corporate parent, was chartered to explore opportunities in IoT. They've got the Lumata platform. They had, Hitachi Next, their conference last month, focused on IoT. I think that's really the capstone, the Lumata portfolio, in this overall story. Now, I think what we're hearing this week is that great, they've got the components, the building blocks, of potential growth, but I don't think they're going to be able to achieve takeoff growth until such time, Hitachi Vantara, they have a stronger, more credible reach out to the developer community, specifically the developers who are building the AI and machine learning for deployment to the edge. That will require to have credibility in that space. Clearly it's going to have to be the new set of frameworks, such as TensorFlow, and MXNet, and Fee-an-o, and so forth. They're going to need some sort of a modeling framework or abstraction from it that sits on top of the Pentaho platform or really across all of their offerings, including Lumata, and enables a developer to using, the mainstream application developer to use code, whether it be Python or R or Java, whatever, to build the deep learning and AI models at the highest level of abstraction, the business level of abstraction, then to automatically compile those models, which are computational graphs, down to formats that are optimized and efficient to run on devices of all sorts, chip sets of all sorts, that are increasingly resource constrained. They're not there yet. I'm not hearing that overall developer story at this show. I think they've got a lot of smart people, including Brian, pushing them in that direction. Hopefully next year's PentahoWorld or however they may rebrand this show, I think they'll probably have more of that put together, but we'll keep on waiting to see. >> And that's something that I pushed on a little bit this week. In particular, that requires a whole new go to market where the starting point is developers and then you're nurturing those developers. And certainly Pentaho has experience with community editions, but that was more to get enterprise buyers to kind of try before they buy. As you know well, Jim, the developer community is, they're very fickle, they're persnickety, they're demanding, and they're super smart, and they can be your best advocates or they'll just ignore you. That's just kind of the way it is with developers. And if you can appeal to them you can get a foothold in markets. We've seen it. Look at what Microsoft has done, look at what Amazon has done, certainly Docker, you know, on and on and on. >> Community marketing that's full bore (mumbles) user groups, developer days, hackathons, the whole nine yards, I'm not seeing a huge emphasis on community marketing in that really evangelistic sense. They need to go there seriously. They need to win the hearts and minds of the next generation developer, the next generation developer who actually won't care about whether it's TensorFlow backends or the other ones. What they will care is the high level framework, and really a collaborative framework, that's a solution provider gives them for their teams to collaborate on building and training and deploying all this stuff. I'm not hearing from this solution provider, devops really, here this year. Hopefully in the coming years there will be. Other vendors are a bit further along than they are. We see a bit further along IBM is. We see a bit further along like Cloudera and others are in putting together really a developer friendly ecosystem of components within a broader data lake framework. >> Yeah, and that's not been the historical Pentaho DNA. However, as you know, to reach out, have a community effort to reach out to developers requires resources and commitment, and it's not a one shot deal. But, it also requires a platform, and what we're seeing today is the formation of that. The reformation of Hitachi into Hitachi Vantara with a lot of resources that has a vision of a platform, of which Pentaho is a critical component, but it's going to take a lot of effort, a lot of cultivating. I presume they're having those conversations internally. They're not ready to have them externally, which is I presume why they're not having them. But that's something that we're going to certainly watch for in the coming years. What else? You gave a talk this afternoon. >> Yeah, AI is Eating the Edge, and it was well received. In fact, when I prepared my thoughts and my research about a month ago for this event I was thinking, "Am I way too far ahead?" This is Pentaho. I've been of course familiar with them since their inception. I thought, "Are there other users? "Are there developers? "Is their community going deep into AI "and all the IoT stuff?" And the last day or so here at this event it's like, "Whoa, everybody here is into that. "They know this stuff." So, not only was I relieved that I wouldn't have to explain the ABCs of all that, they were ahead of me in terms of the questions I got. The questions are, once again, what framework should we adopt for AI, the whole TensorFlow, all those framework wars, which I think are sort of overblown and they will be fairly soon, it'll be irrelevant, but those kinds of questions. Those are actually developer level questions that people are just here and they're coming to me with. >> Well, you know, I tell you, I'm no expert in frameworks, but my advice would be whatever framework you adopt you're probably not going to be using that same framework down the road. So you have to be flexible as an organization. A lot of technical leaders tell me this is look, technology is going to come and it's going to go. We got to have great people. We've got to be able to respond to the market requirements. We have to have processes that allow us to be proactive and responsive, and that your choice of framework should ensure that it doesn't constrict you in those areas. >> And you know, the framework that actually appeals to this crowd, including the people in my room, it's a wiki bot framework, it's also what Brian Hopkins of Forrester presented, the three tier architecture. There's the edge devices. There are the gateways or hubs. There's the cloud. We call them primary, secondary, tertiaries. Whatever you call them, you put different data, you put different analytics on each of those tiers. And then really in many ways in a modular fashion then you begin to orchestrate with Kubernetes and so forth these AI infused apps and these distributed architectures, like self driving vehicles or whatever. And the buzz I've been getting here, including in my session, everybody is saying, "Yeah, that's exactly the way to go." In other words, thinking in those terms prevents you as a developer from thinking that AI has to be some monolithic frigging stack on one single node. No, it actually has to be massively parallel and distributed, because these are potentially very compute intensive applications. I think there's a growing realization in the developer community that when you're talking about developing AI you're really talking about developing two core workloads. There's the inferencing, which is where the magic happens in terms of predictions and classifications, but even more resource consumptive is the training that has to happen in the cloud, and that's data, that's exabytes, petabytes intensive potentially. That's compute intensive. Very different workload. That definitely needs to happen in the cloud primarily. There's a little bit of federated training that goes out to the edge, but that's really the exception right now. So there's a growing realization in the developer community that boy, we better get a really good platform for training. And actually they could leverage, we've seen it in our research of wiki bot is that, many AI developers, many deep learning developers, actually leverage their Spark clusters for training of TensorFlow and so forth, because of in memory massive parallelism, so forth and so on. I think there will be a growing realization in the developer community that the investments they've been making in Hadoop and Spark will just be leveraged for this growing stack, for training if nothing else. >> Well, in 8.0 that was sort of the big buzz here. And you and I talked at the open with Rebecca, our other co-host, about 8.0 A lot of incremental improvements. But you know what, in talking to customers that's kind of what they want. They want Pentaho to do a good job of incorporating, curating, open source content, open source platforms and products, bringing them into their system, and making sure that their customers can take advantage of them. That's what they consistently kept asking for. They weren't freaked out about lack of AI and lack of deep learning and ML and Weka is fine. Now maybe it's a blind spot, I don't know. >> No, no, actually I've had 24 hours since they announced to chew on it. In fact, I have a SiliconANGLE article going up fairly soon with essentially my trip report and my basic takeaway. And actually what I like about 8.0 is that it focuses on streaming, bringing open source analytic streaming more completely into the Pentaho data integration platform, in other words, their stronger interoperability with Spark streaming, with Kafka, and so forth, but also they have the ability within 8.0 to better match realtime streaming workloads to execution engines in a distributed fabric. In other words, what I think that represents not only in terms of Hitachi Vantara's portfolio, but in terms of where the industry is going with all things to do with big data applications whether or not they involve AI is streaming is coming into the mainstream, pun intended, and data at rest platforms are starting to become marginalized in a lot of applications. In other words, Hadoop is data at rest par excellence, so are a fair number of other no SQL platforms. Those are not going away. Those are the core of your data lakes. But most development is being developed now, most AI and machine learning is being developed for streaming environments that increasingly are edge oriented. So Pentaho, Hitachi Vantara, for 8.0 have put in the right incremental features for the market that lies ahead. So in many ways I think that was actually a well thought out release for this particular event. >> Great. Okay, some of the highlights here. We had a lot of different industries, gaming, we had experts on autonomous vehicles, we had the NASDAQ guys on, that was a very interesting segment, the German police interview you did, the chief data officer of community colleges in Indiana. So, a lot of diversity, which underscores the platformness of Pentaho. It's not some industry specific system. It is a horizontal capabilities platform. Final thoughts on the show, some interesting things that you saw, things you learned? >> Yeah, on the show itself, they did a really good job. Hitachi Vantara, of course it's a new brand, but it's an old company, and it's even an old established set of product teams that have come together in a hurry essentially, though it's really been two years since the acquisition. They did a really good job of presenting a unified go to market message. That's a good start They've done a good job of the fact that they had these two shows in a rapid sequence, Hitachi Next, which was IoT and Lumata, but it was Hitachi Vantara, and now this one where it's all data analytics. The fact that here in the peak of fall event season they had these two shows really highlighting their innovations and their romance for those two core of their portfolio, and have done a good job of positioning themselves in each case, that shows that the teams are orchestrating well in terms of at least go to market presenting their value prop. I think in terms of the actual, we've had a lot of great customer and partner interviews on this show. And I think, you mentioned gaming first, I wasn't actually on the gaming related CUBE interview, but gaming is a hot, of course it's a hot, hot market for AI increasingly. A lot of AI that gets developed now for lots of applications involves simulations of whatever scenario you're building, including like autonomous vehicles. So gaming is in many ways a set of practices that are well established and mature that are becoming fundamental to development of all AI, because you're developing synthetic data based on simulation environments. The fact that Hitachi Vantara has strong presence as a data provider in the gaming market I think in many ways indicates that they've got ... It's a crowded marketplace. They have much larger competitors and deeper pocketed, but I think the fact is they've got all the piece parts needed to be a roaring success in this new era, and they've got strong and very loyal customers I'm discovering, not discovering, I've known this all along. But, since I've rejoined the analysts' space it's been revalidated that Pentaho how strong in blue chip they are. Now that they're a new brand in a new era, they're turning themselves around fairly well. I don't think that they'll be isolated by ... Clearly, I mean, with AI ... AI right now belongs to AWS and Microsoft and Google and IBM to some degree. We have to recognize that the Hitachi Vantaras of the world right now are still a second tier in that arena. They probably have to hitch their wagon to at least one of those core cloud providers as a core partner going forward to really prevail. >> Dave: Which they can do. >> Yeah, they can do. >> Alright. Jim, thanks very much for closing with me. Thanks to you all for watching. theCUBE puts out a lot of content. You can go to SiliconAngle.com to see all the news. theCUBE.net is where we host all these videos. Wikibon.com is our research site, so check that out, as well. We've got CrowdChats going on, CrowdChat.net. It's just unbelievable. >> Unbelievable. >> Rush of content. We're all about the data, we're all about sharing, so check those sites out. Thanks very much to the crew here. Great job. And next week a lot going on. We're in New York City. We've got some stuff going on there. Want to thank our sponsor, without whom this show, this CUBE show, would not be possible, Hitachi Vantara slash Pentaho. >> Thank you to sunny Orlando. It's great and wonderful. >> This has been theCUBE at PentahoWorld 2017. We'll see you next time. Thanks for watching. (techno music)
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Brendan Aldrich, Ivy Tech | PentahoWorld 2017
>> Announcer: Live, from Orlando Florida It's theCUBE! Covering Pentaho World 2017. Brought to you by Hitachi Ventara. >> Welcome back to theCUBE's live coverage of Pentaho World brought to you by Hitachi Ventara I'm your host Rebecca Knight along with my co-host Dave Vellante, we're joined by Brendan Aldrich he is the chief data officer at Ivy Tech which is Indiana's community college system Thanks so much for joining us. >> Thank you very much I appreciate it. >> And congratulations because I know that you've just won the Pentaho Excellence Award for the Social Impact category. At Ivy Tech you are you using the power of data to combat one of the toughest problems in education higher education drop out rate so tell us a little bit about what you're doing and how you're using data. >> Certainly, well Ivy Tech has been really one of the more innovative players in the higher education space when it comes to how we're utilizing data. Both from the work that data engineering and our chief technology officer has done to the work we're doing now from my area to make that data very useful and very usable for the organization. And we're tackling it on multiple fronts. We're using data in order to help more quickly identify students that have already completed the requirements to graduate. Or if they are close to or have already potentially completed the requirements to graduate on another major other than their declared major and starting those conversations with the students. >> And what about the drop out too so you are obviously also looking at students that are at risk. >> We've been engaged in a project called Project Early Success where we work in the first two weeks of a 16 week term to identify which students we believe are at risk for failure. And then we spend the next two weeks, weeks 3 and 4 of the term coordinating hundreds of faculty staff and administrators to reach out and try to talk to those students and see if we can move them back on track. The first term that we did that we saw a great success with, we, by mid-term were showing a 3.3 percentage point drop in our number of D's and F's being reported. For an organization our size, that meant over 3000 students, more student, who were passing their courses at mid-term as compared to failing them, compared to the year before. >> Scope of the organization? Student size? >> Ivy Tech, we are Indiana state wide community college system so we have 19 campuses, almost 9000 employees and we educate around 160 000 students per year. >> Wow. So just getting back to that college drop out, so professors are putting in the data about who's going to class, who's not going to class >> Brendan: That's right. >> The grades that their getting. And then that's all being fed in and you're finding out who the at risk people are, and it's really just reaching out to them and it's saying "Hey, what's going on?" >> Absolutely. And in fact a lot of the work was done with our engineering team to actually identify data that related to the behaviors of the students. So it's not just their attendance it's not just previous performance in similar classes. But it's really finding those data elements that relate to behaviors of the students that we believe are going to put them on a less successful track. >> Brendan I wonder if we can talk about the role of the Chief Data Officer. When we talk to CDO's in for profit organizations they always say we start with an understanding of how data can help with our monetization strategies. Now let's translate that for a community college. Is that a reasonable starting point if I frame it as how data adds value to the organization is that where you started and take us through sort of the journey of your role. >> Absolutely. Well first of all Chief Data Officers in higher education are still fairly rare. At the time Ivy Tech hired me in December of 2015 I was only the 9th Chief Data Officer working at any college or university in the country. And the first that had been appointed at a two year college. So whereas a public institution like ours is not necessarily as driven by profitability students success is something that's very high on our priority list and being sure that we were able to make data very available to everyone in the organization that was working with our students so that they could use that data to more directly target the areas that they could help the student best. Now there can be profitability components as a public institution we do receive funds from the state, performance funding for students who successfully graduate. In some ways we've been able to use data to help our registrars identify those students more quickly. Which certainly gives us a lot of opportunity not only to help the students on their own educational goals and careers but to be able to increase the amount of performance funding that Ivy Tech receives from the state as well. >> So that you brought to the other point CDO's tell us is data access, making that data accessible. And then there's a trust component too. It's got to be reliable and it's hard with all this data and all this data growth is how are you addressing kind of those challenges? >> One of the things that's really unique about how we're approaching data at Ivy Tech is this idea of a data democracy. It's more than self-service business intelligence or self-service analytics. Because instead of just providing access we wanted to make sure that once our employees had access, that the data was intuitive. That it was relevant to their responsibilities. That it was interactive. So that as their needs and challenges and questions evolved they could continue to use data to answer those questions without having to go back to a central IT team or a central research team. So the data democracy is a really unique aspect of ours that was important to us and I think at the moment we have about 4000 of our employees trained and running on our platform today. >> So everybody wants to be data driven these days your job is to actually affect that data driven initiative. Culturally, people say they're data driven but they don't necessarily act that way. They still act on gut feel and this is the way we've always done it. How have you been able to affect the cultural transformation? >> Well it's important to remember that if you can make the right data available to the people who are ready to use it, that's a transformational opportunity. For us, before we began on this project less than 2% of our employee base actually had the ability to create a report. Everyone else had to make requests wait for data to be made available it could take time and maybe that data wasn't available by the time they actually needed it. So if you think about that, moving from a place where less than 2% of our employees had access to data to a point where we're approaching 50% of our employees now having really good access to data we didn't want just a few silver bullets we feel that every one of our employees has the potential, if they have the right data available to test their ideas with data and come up with brand new, innovative ideas. So we could have thousands of silver bullets coming to rise throughout our organization. >> So give us some examples, I mean we've talked a little bit about how the data is transforming the student experience and student success rate but how, what are some of your grand ideas about how faculty and how employees can use data to test ideas and make their lives easier and make Ivy Tech more successful. >> Oh absolutely. And even if you think about Project Early Success and the idea that we were helping to identify students that we believe may be struggling behaviorally in being successful in their courses. Now if you can take that as an attribute and you can surface it through our system to the employees that are using it which includes our faculty. Our faculty members now have the ability to see very quickly which of their students may be struggling and have the chance to intervene with those students as well on a regular basis. So it's not just one phone call at the beginning of the term. It's not just Project Early Success but now what we're talking about as Project Student Success how do we continue to use that kind of information to engage the student over the entire course of the term to ensure that we're not just changing their trajectory a little bit in the beginning but that we're following that journey with them over the course of their educational goal. >> Can you talk about the regime in your organization? The reporting structure, to whom do you report is there a CIO- >> Brendan: There is. >> What's the relationship there? >> There is a CIO who I report to the Chief Technology Officer and I both report to the CIO and we had a recent change in our leadership within the organization as well. Back a year ago this last July we have a new president of the state wide organization Dr. Sue Ellspermann who was formerly our lieutenant governor for the state of Indiana. >> So that's interesting that you report to the CIO. Most Chief Data Officers, we find, I wonder if you can comment don't report to the CIO there's sort of a parallel organization for a variety of reasons. People generally believe that well, it maybe one day was the CIO's job it's sort of the CIO's job morphed into kind of keeping the lights on and the infrastructure going, but what do you see amongst your colleagues with that regard? >> You know what's important for me and I think that if you look at every organization across the country there is this data knowledge gap. This idea that you've got your IT and engineering staff that knows everything there is about how to build, support, augment and de-commission these systems but generally have not been as involved in what the data means inside those systems or what decisions are being made off that data. On the other half of that gap you've got all of the rest of your organization the people that are using data who know what it means and who are making decisions from it but generally don't know enough about how to think about structuring that data so that they could get the engineering teams to build them new tools. This is really the place where a Chief Data Officer in my mind comes to sit. Because my goal is to build those bridges between the organization so that we can help engineering learn more about what we're doing as an organization with data and then use that information to build tools that will drive the rest of the organization closer to those goals through data. >> Now you're not a bank so you've got, I'm imagining a pretty small team. >> Brendan: We do. >> So maybe you can talk about that and how you manage with such a small team. >> You know it's interesting most organizations when you think about a build versus buy scenario you think about well I don't have a lot of people I don't have a lot of bandwiths, maybe we need to buy. Now Ivy Tech went through that process and every one of the RP's that came back were too expensive We couldn't afford to do it. So as a team we had to sit down and think about how do we really rethink the way that we approach this in order to still accomplish what we need out of data and out of our data warehouse and analytic systems. Part of what I'll be speaking at the conference today is some of those entrenched data practices that we had to overcome or rethink and rewrite in order to get to where we are today. >> Well Brendan it's been so much fun having you on theCUBE, thanks so much. >> Well thank you, I appreciate it. >> I'm Rebecca Knight for Dave Vellante you are watching theCUBE, we will have more from Pentaho World in just a little bit. (electronic music)
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Nathan Hart, NextGear Capital | PentahoWorld 2017
(upbeat music) >> Announcer: Live from Orlando Florida, it's theCUBE covering PentahoWorld 2017. Brought to you by Hitachi Vantara. >> Welcome back to theCUBE's live coverage of PentahoWorld, brought to you of course by Hitachi Vantara. My name is Rebecca Knight, and I'm here with Dave Vellante, my co-host. We are joined by Nathan Hart, he is the Development Manager at NextGear Capital. Thanks so much for coming on theCUBE, Nathan. >> Thanks for having me. >> So let's start by telling our viewers a little bit about what NextGear Capital is, and what you do there. >> Sure, NextGear Capital is a, we do auto financing for auto dealerships, so if a dealer goes to an auction and wants to buy some inventory, we're going to be the ones who actually finance that and purchase it for them, and then they pay us back. >> Great, and your role as a development manager. >> Yep, I am over our integrations team, so we are responsible for basically getting data in and out of the company, a lot of that is getting data to and from our sister companies, all under Cox Automotive. >> And the data we're talking about is? >> Uh, it's a whole lot of things, obviously it's a lot of financial data, as we are a finance company, but a lot of things like inventory, unit statuses, where a car is located, we have credit scores, and that sort of work as well, so all kinds of data are coming in and out and then into our systems. >> So, are the cars instrumented to the point where you can kind of track where they are in an automated way, or is it? >> Yes, we do have some GPS units, not on all that inventory, just because we have quite a few open floor plans, about 500,000 I believe. But yes, we do have some select units that are GPS'd that we can track that way, or we have inspectors that go to lots. >> Okay so as a developer you know this story well, back in the day if you had a big data problem, you'd buy a Unix box and you'd stuff all the data in there and then you'd buy a bunch of Oracle licenses, and if you had any money left over, you could maybe do something, maybe buy a little storage, or conduct business. Okay that changed, quite dramatically. I wonder, if you could tell us your version of that story and how it's affected your business. >> Sure, so, uh. (laughter) >> Dave: Is it a fair representation? >> Not, not... >> Dave: Is the old world, was it a big data warehouse world? >> Yeah, so. >> Where it's sort of expensive to get stuff in and get stuff out and has that changed? Or is that sort of? >> Yeah, it has changed greatly, we're not quite that bad, but we do currently have an older monolithic database system that we are trying to get away from. >> Dave: It's hard. >> Yeah, exactly. And so a lot of our processes right now, go in and come out of this so obviously, if anything in that breaks, it hurts everywhere. >> Dave: Right. >> So yes. >> Dave: Sort of a chain reaction. >> Exactly. >> Okay, but so how have you, talk about the journey of bringing in Pentaho and how that has affected you. >> Sure, Pentaho has been great for us, just in terms of being able to be really flexible with our data. Like I said, we're trying to get away from this monolithic service, so we have, in Pentaho, we can easily branch off and say, go to the monolithic database, but also talk to another service that is going to replace it. And then it's just one click of a button, and now this is off, this is on, or we can do both and have some replication going, just so we have that flexibility, and that kind of adaptability around those changes. >> So why Pentaho, I mean, a lot of tools out there, there's open source, you could roll your own, you could do everything in the cloud, why Pentaho? >> We liked Pentaho because of the, I guess the freedom and independence it kind of offers, in the sense that it allows us to have a large set of steps and tools that are already prebuilt, that we can just use right out of the box, and, it's just a massive library, far greater than most of the competition that we looked at. And then it also is just built on this great Java platform that we can, if we need to, write a custom Java class, pop it in, and then that can do what we need to, if we don't have something out of the box. >> Dave: So it's integrated, >> Yep >> but it's customizable. >> Nathan: Exactly. >> If you need it to be. >> Nathan: Yep. >> Okay, and one of the things that customers like you tell us about Pentaho is that they like the sort of end-to-end integration. >> Nathan: Yep. >> We were talking off camera, you had mentioned that you've got an initiative to move toward the cloud. Maybe you could talk about that a little bit. >> Yeah, so right now, just Cox, as a whole, is kind of investigating the cloud. I definitely don't want to speak out of turn, or say we're definitely going there, but that is the current initiatives are to start experimenting with how we can leverage this more. I know one of the, kind of the first steps that we're taking towards that is we have large archives, we keep all of the files we've ever received or sent out, and we don't access them much, we don't need them much, but we want to keep them, just so we have this history, and we can always look back if we need to. So using the cloud for something like that, where's it's just like a deep storage, where we can just upload it and forget it, and if we ever need it, it's there and easily accessible, and this way we don't have to pay for as much storage on print. >> Very workload specific, cheap storage. >> Nathan: Yep. >> Probably a lot of test and dev. >> Nathan: Exactly. >> So going back to the Pentaho, and why Pentaho, and you mentioned the freedom and the flexibility that it provides, can you talk about some of the best practices that you've discovered that could help some other Hitachi Vantara customers? >> Absolutely, the biggest change, learning curve that we went through, my first introduction was Pentaho when I started at NextGear, and it was a real huge learning curve for the whole team. We all started within about a month of each other, and there were only three of us to start. So, it was a real learning curve of, okay, here's how we do this, here's how we do this. So, once we kind of got the workflow going and understanding what we were trying to do, the next step was figuring out okay we can make this very modular, we can build a sub job that does a very specific task, and we can use it everywhere. And we just did that again and again and again, so now we have a library of about 118 different utilities that we can just plug and drop anywhere and they just do what they need to do, we don't need to re-test them, we don't need to think about them ever. And of course, if we update one of those, it updates every single job that it touches. As soon as we kind of unlocked that and figured we didn't have to make a custom solution for every single job, that we could use a lot of reuseability. It really sped up our development, and how we do things. >> Could you talk about data sources, have they or how have they evolved over the last decade? >> Sure, I can't speak for the whole decade, I haven't actually been in the industry that long, but a lot of what we came into and inherited when I came in, were flat files, just everything is CSV, TXT, either in or out, and we still do a lot of that, that's still kind of our bread and butter, just by the nature of our current role, but as it's changing we are interacting more and more with APIs. We're shifting away from this monolithic database into micro services so we're having to interact with those a lot more and figure out how we can get that real time communication and get the data where it needs to go so it's all in its happy place. >> One of the things that Brian Householder, the CEO, got up on the main stage and talked about how, for companies, the two most important assets are the people and the data. I want to talk to you about the people aspect. >> Nathan: Okay. >> We're hearing so much about the shortage, the tech shortage of data scientists, and other kinds of talent in this industry. How hard is it for you to recruit? Your company, as you said, is based in Carmel, Indiana is that right? >> Nathan: Yep. >> What are you finding out there? >> The greater Indianapolis area, like many other places, is very starved for tech talent. It's very, very easy as a developer to throw a stone and get an interview. It's definitely a challenge. We actually currently have two openings on my team. Just, do less with more and do what we can. So, it's definitely a challenge, but I think that there's a lot of really great young talent coming out of colleges right now that are coming in, they've grown up with this right? They're a lot further along than necessarily I was when I came out of school and some of our other developers. So they can step in and already understand a lot of these complex architectures that we're dealing with and can just hit the ground running. >> So at least 10 times a week, I get somebody hitting me on LinkedIn about hey do you need development resources? (Nathan laughing) As a developer, it must happen to you 100 times a week, but there's obviously challenges of off-shoring and managing that remotely. I'm sure you've thought about it. What are your thoughts on off-shoring? You want someone there in a bee hive effect? Maybe talk about that a little bit. So, at NextGear we've been fairly rigid about butts in the seats, in the office, real collaborative environment, where you're at the morning stand up, you're there in the meetings, and it's a very present environment. And we are being a little bit more adaptable with that, just as time changes and other companies, obviously do offer more remote from home or what have you, so that is shifting a little bit, as far as necessarily off-shoring, that's way above my pay grade to even make that call, I have worked in previous environments where that was a large part of it. In a previously life we had a US based team and then we had a Malaysia based team, and I thought it was a really great experience cause we basically all had our own counterparts over there, so at the end of your day, you just email your notes, here's what I did today, here's where I left off, and they pick it up and do the same, then we had about a weekly meeting. So I think it definitely can work, I'm all for the global tech community all coming up together, when appropriate and when it works. >> But you've got to have the right infrastructure and processes in place, >> Nathan: Absolutely. >> Or it's just, it sucks all your productivity out. >> Nathan: Absolutely, if you spend half your day trying to figure out what the other person did, then you've lost your day. >> Yeah, right. And you follow the sun, yes and no right, you've got to wait for the sun sometimes. Pentaho, back to Pentaho, what are the things that, as a customer, you want them to do. What's on their to-do list, you know, when you're talking to Donna Prlich and her team, what are you pushing them for? >> So, the biggest things kind of on our wish list and that we're seeing is interacting more natively with those microservices like I mentioned and I was really glad that that came up in the keynote as something that they're focusing on and it's something that is going to come up in 8.0, at least the kind of stepping stones to go in that direction. So, that's really exciting stuff for us, just it answers a lot of questions we're currently having of how are we going to interact with those, and the answer can still be Pentaho moving forward. >> I was struck in the keynote, when Brian was asking hands up please, how many people are doing business with Hitachi outside of Pentaho, and just a smattering, right, I presume your hand was down. >> Nathan: My hand was down. >> And then, had you heard of Hitachi Vantara? >> I read the press release when they first announced Vantara, but that's about the extent of it. Obviously I knew about Hitachi from when they purchased Pentaho. We actually were having a week long, kind of a tech support get together that week that it happened, so I think on the Tuesday or something, our rep was like I now work for Hitachi. It was a fun thing, but yeah I'm not terribly familiar with Hitachi's products or, obviously I know where they're going with the Vantara concept, but. >> As a developer in a very focused area, >> Yep. >> Cox Automotive, obviously has some IOT initiatives, I'm sure, >> Absolutely. >> And some process automation, but I presume you haven't really dug into that yet, but when you think about the messaging that you heard this morning. What does it mean to you? Do you say, okay, nice, but I've got other problems? Or do you see the potential to leverage some of the technologies down the road? I definitely see the potential to start, at least exploring that direction, and figuring out what can we get out of this, right. It makes a lot more sense to play in a singular ecosystem and have all those tools at our hand just in one bucket instead of trying to figure out how does this play nice with this, how does this play nice over here, if we just can have a singular ecosystem that does it all together, that definitely makes our jobs a lot easier. >> How about the event, is this your first PentahoWorld? >> Yep, this is my first PentahoWorld. >> So it's early, but why do you come to events like this, and what do you hope to take away? >> Sure, I came to this event, cause I was specifically invited to. That's really it. It was nothing more than that, but I definitely come to kind of, see what's next and learn about the new technologies, and get that chance to visit some of the booths and some of the breakout sessions for maybe things that I don't get to do in my day to day life. We're very heads down in PDI so I don't get to spend too much time learning about the analytics and playing with those tools. So it's a lot of fun to come here and kind of see what's out there and be like, oh could we leverage this, or how could I adapt, or what are some of the other professionals doing that maybe I can bring back and improve our processes. >> And it's early days, but what are your thoughts on 8.0? >> I liked what I saw, and then I stopped by the booth and got another demo and I can definitely already see a couple of use cases where we can improve existing jobs with some of the new streaming features that they have in play, so I'm excited for that to come out and for us to start working with that. >> So that, the integration of streaming, Kafka, and the like was appealing to you? >> Yep, absolutely, and that'll be something that we can probably use right out of the gate, so excited for that. >> Well great, Nathan thank you so much for coming on theCUBE. >> Nathan: Yeah, thank you. >> I'm Rebecca Knight for Dave Vellante, we will have more from PentahoWorld just after this. (upbeat music)
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Sam Ramji, Google Cloud Platform - Red Hat Summit 2017
>> Announcer: Live, from Boston, Massachusetts, it's the Cube. Covering Red Hat Summit 2017. Brought to you by Red Hat. (futuristic tone) >> Welcome back to the Cube's coverage of the Red Hat Summit here in Boston, Massachusetts. I'm your host, Rebecca Knight, along with my co-host Stu Miniman. We are welcoming right now Sam Ramji. He is the Vice President of Product Management Google Cloud Platforms. Thanks so much for joining us. >> Thank you, Rebecca, really appreciate it. And Stu good to see you again. >> So in your keynote, you talked about how this is the age of the developer. You said this is the best time in history to be a developer. We have more veneration, more cred in the industry. People get us, people respect us. And yet you also talked about how it is also the most challenging time to be a developer. Can you unpack that a little bit for our viewers? >> Yeah, absolutely. So I think there's two parts that make it really difficult. One is just the velocity of all the different pieces, how fast they're moving, right? How do you stay on top of all the different latest technology, right? How do you unpack all of the new buzzwords? How do you say this is a cloud, that's not a cloud? So you're constantly racing to keep up, but you're also maintaining all of your old systems, which is the other part that makes it so complex. Many old systems weren't built for modernization. They were just kind of like hey, this is a really cool thing, and they were built without any sense of the history, or the future that they'd be used in. So imagine the modern enterprise developer who's got a ship software at high rates of speed, support new business initiatives, they've got to deliver innovation, and they have to bridge the very new with the very old. Because if your mobile app doesn't talk to your mainframe, you are not going to move money. It's that simple. There's layers of technology architecture. In fact, you could think of it as technology archeology, as I mentioned in the keynote, right, this we don't want to create a new genre of people called programmer archeologists, who have to go-- >> I'm picturing them just chipping away. >> Sam: I don't think it'll be as exciting as Indiana Jones. >> No. >> Digging through layers of the stack is not really what people want to be doing with their time. >> Sam: Temple of the lost kernel. >> I love it. >> So Sam, it's interesting to kind of see, I was at the Google Cloud event a couple months ago, and here you bring up the term open cloud, which part of me wants to poke a hole in that and be like, come on, everybody has their cloud. Come on, you want to lock everybody in, you've got the best technology, therefore why isn't it just being open because it's great to say open and maybe people will trust you. Help explain that. >> Puppies, freedom, apple pie, motherhood, right. >> Stu: Yeah, yeah. (laughs) >> So there's a couple sides to that. One, we think the cloud is just a spectacular opportunity. We think about 1.2 trillion dollars in current spend will end up in cloud. And the cloud market depending on how you measure it is in the mid 20 billions today. So there's just unbounded upside. So we don't have to be a aspirational monopolist in order to be a successful business. And in fact, if you wind the clock forward, you will see that every market ends up breaking down into a closed system and a closed company, and an open platform. And the open platforms tend to grow more slowly, sort of exponential versus logarithmic, is how we think about it. So it's a pragmatic business strategy. Think about Linux in '97. Think about Linux in 2002. Think about Linux in 2007. Think about Linux in 2012. Think about Linux today. Look at that rate. It's the only thing that you're going to use. So open is very pragmatic that way. It's pragmatic in another direction which is customer choice. Customers are going to come for things that give them more options. Because your job is to future proof your business, to create what in the financial community call optionality. So how do you get that? In 2011, about eight other people and I created a nonprofit called the Open Cloud Initiative. And the Initiative is long since dead, we didn't fund it right, we kind of got these ideas baked, and then moved on. >> Stu: There's another OCI now. >> That's right, it's the Open Container Initiative. But we had three really crisp concepts there. We said number one, an open cloud will be based on open source. There won't be stuff that you can't get, can't replicate, can't build yourself. Second, we said, it'll have open access. There'll be no barriers to entry or exit. There won't be any discrimination on which users can or can't come in, and there won't be any blockers to being able to take your stuff out. 'Cause we felt that without open access, the cloud would be unsafe at any speed, to borrow a quote from Ralph Nader. And then third, built on an open ecosystem. So if you are assuming that you have to be able to be open to tens of thousands of different ideas, tens of thousands of different software applications, which are maybe database infrastructure, things that as a cloud provider, you might want to be a first party provider of. Well those things have to compete, or trade off or enrich each other in a consistent way, in a way that's fair, which is kind of what we mean when we say open ecosystem, but being able to be pulled through is going to give you that rate of change that you need to be exponential rather than logarithmic. So it's based on some fairly durable concepts, but I welcome you to poke holes in it. >> So we did an event with MIT a little while back. We had Marshall Van Alstyne, professor at BU who I know you know. He's an advisor at Cloud Foundry, and he talked about those platforms and it was interesting, you know, with the phone system you had Apple who got lots of the money, smaller market share as opposed to Android, which of course comes out of Google, has all of the adoption but less revenue. So, not sure it's this, yeah. >> Interestingly, we've run those curves, and you kind of see that same logarithmic versus exponential shift happening in Android. So we've seen, I don't have the latest numbers on the top of my head, but that is generating billions of dollars of third party revenue now. So share does shift over time in favor of openness and faster innovation. >> So let's bring it back to Red Hat here, because if I talk to all the big public cloud guys, Microsoft has embraced open source. >> And they're not just guys, actually, there's lots of women. >> Rebecca: Yes, thank you. >> Stu: I apologize. >> Sorry, I'm in a little bit of a jam here, where I'm trying to tell people the collective noun for technologists is not guys. >> Stu: Okay. >> It could be people, it could be folks, internally we use squirrels from time to time, just to invite people in. >> So, when I talk to the cloud squirrels, Microsoft has embraced open source. Amazon has an interesting relationship. >> I was there when that happened. >> You and I both know the people that they've brought in who have very good credibility in the open source community that are helping out Amazon there. Is it Kubernetes that makes you open because I look at what Red Hat's doing, we say okay, if I want to be able to live across many clouds or in my own data centers, Kubernetes is a layer to do that. It comes back to some of the things like Cloud Foundry. Is that what makes it open because I have choice, or is there more to it that you want to cover from an open cloud standpoint, from a Google standpoint? >> Open and choice effectively is a spectrum of effort. If it's incredibly difficult, it's the same as not having a choice. If it's incredibly easy, then you're saying actually, you really are free to come and go. So Kubernetes is kind of the brightest star in the solar system of open cloud. There's a lot of other technologies, new things that are coming out, like istio and pluri. I don't want to lose you in word soup. Linker D, container D, a lot of other things, because this is a whole new field, a whole fabric that has to come to bear, that just like the internet, can layer on top of your existing data centers or your existing clouds, that you can have other applications or other capabilities layered on top of it. So this permission-less innovation idea is getting reborn in the cloud era, not on top of TCP/IP, we take that for granted, but on top of Kubernetes and all of the linked projects. So yeah, that's a big part of it. >> I want to continue on with that idea of permission-less innovation and talk about the culture of open source, particularly because of what you were saying in the keynote about how it's not about the code, it's about the community. And you were using words like empathy and trust, and things that we don't necessarily think of as synonymous with engineers. >> Sam: Isn't it? >> So, can you just talk a little bit about how you've seen the culture change, particularly since your days at Microsoft, and now being at Google, in terms of how people are working together? >> Absolutely, so the first thing is why did it change? It became an economic imperative. Let's look at software industry competition back in the 90s. In general, the biggest got the mostest. If you could assemble the largest number of very intelligent engineers, and put them all on the same project, you would overwhelm your competition. So we saw that play out again and again. Then this new form of collaboration came around, not just birthed by Linux, but also Apache and a number of other things, where it's like oh, we don't have to work for the same company in order to collaborate. And all of a sudden we started seeing those masses grow as big as the number of engineers who went a single company. Ten thousand people, ten thousand engineers, share the copyright to the Linux kernel. At no point have they worked at the same company. At no point could a company have afforded to get all of them together. So this economic imperative that marks what I think of as the first half of the thirty years of open source that we've been in. The second half has been more us all waking up, and realizing open source has got to be inclusive. A diverse world needs diverse solutions built by diverse people. How do we increase our empathy? How do we increase our understanding so that we can collaborate? Because if we think each other is a jerk, if we get turned off of building our great ideas into software because some community member has said something that's just fundamentally not cool, or deeply hurtful, we are human beings and we do take our toys away, and say I'm not going to be there. >> That's the crux of it too. >> It's absolutely a cutthroat industry, but I think one of the things I'm seeing, I've been in Silicon Valley for 22 years, less three years for a stint at Microsoft, I've actually started to see the community become more self-reflective and like, if we can have cutthroat competition in corporations, we don't have to make that personal. 'Cause every likelihood of open source projects is you're employed as a professional engineer at a company, and that employment agreement might change. Especially in containers, right? Great container developers you'll see they move from one company to another, whether it's a giant company like Google, or whether it's a big startup like Docker, or any range of companies. Or Red Hat. So, this sort of general sense that there is a community is starting to help us make better open source, and you can't be effective in a community if you don't have empathy and you don't start focusing on understanding code of conduct community norms. >> Sam, I'm curious how you look at this spectrum of with this complexity out there, how much will your average customer, and you can segment it anywhere you want, but they say, okay I'm going to engage with this, do open source, get involved, and what spectrum of customers are going to be like, well, let me just run it on Google because you've got a great platform, I'm not going to have Google engineers and you guys have lots of smart people that can do that in any of the platform. How do you see that spectrum of customer, is it by what their business IT needs are, is it the size of the customer, is there a decision tree that you guys have worked out yet to try to help end users with what do they own, what do they outsource? It's in clouds more than outsourcing these days. The deal of outsourcing was your mess for less, and this should be somewhat more transformational and hopefully more business value, right? >> Yeah, Urs Hölzle, who's our SVP of Technical Infrastructure, says, the cloud is not a co-location facility. It is different, it is not your server that you shipped up and you know, ran. It's an integrated set of services that should make it incredibly easy to do computing. And we have tons of very intelligent women and men operating our cloud. We think about things like how do you balance velocity and reliability? We have a discipline called site reliability engineering. We've published a book on it, a community is growing up around that, it's sort of the mainstream version of dev ops. So there are a bunch of components that any company at any size can adopt, as long as you need both velocity and reliability. This has always been the tyranny of the or. If I can move fast I can break things, but even Mark Zuckerberg recently said you know, move fast and break fewer things. Kind of a shift, 'cause you don't want to break a lot of people's experience. How do you do that, while making sure that you have high reliability? It really defies simple classification. We have seen companies from startups to mom and pop shops, all the way to giant enterprises adopting cloud, adopting Google cloud platform. One of the big draws is of course, data analytics. Google is a deeply data intensive business, and we've taken that to eleven basically with machine learning, which is why it was so important to explain tense or flow, offer that as open source, and be able to move AI forward. Any company, at any size that wants to do high speed, high scale data analytics, is coming to GCP. We've seen it basically break down into, what's the business value, how close is it to the decision maker, and how motivated is an engineer to learn something different and give cloud a try. >> Because the engineer has to get better at working with the data, understanding the data, and deriving the right insights from the data. >> You're exactly right. Engineers are people, and people need to learn, and they need to be motivated to change. >> Sam, last question I have for you is, you've been involved in many different projects. We look at from the outside and say, okay, how much should be company driven, how much does a foundation get involved? We've seen certain foundations that have done very well, and others that have struggled. It's very interesting to watch Google. We'd give you good as we've talked on the Cube so far. Kubernetes seems to be going well. Great adoption. Google participates, but not too much, and Red Hat I think would agree with that. So congratulations on that piece. >> Sam: Thank you. >> What's your learnings that you've had as you've been involved in some of these various initiatives, couple foundations. We interviewed you when you were back at the Cloud Foundry, and things like that, so, what have you learned that you might want to say, hey, here's some guidelines. >> Yeah, so I think the first guideline is the core of a foundation is, the core purpose of a foundation is bootstrapping trust. So where trust is missing, then you will need that in order to create better contribution and higher velocity in the project. If there's trust there, if there's a benevolent dictator and everyone says that person's fine or that company's fine, then you won't necessarily need a foundation. You've seen a lot of changes in open source startups, dot coms that are also a dot org, shifting to models where you say well, this thing is actually so big it needs to not be owned by any one company. And therefore, to get the next level of contribution, we need to be able to bring in giant companies, then we create trust at that next level. So foundations are really there for trust. It's really important to be strong enough to get something off the ground, and this is the challenge we had at Cloud Foundry, it was a VMware project and then a Pivotal project, and many people believe this is great open source, but it's not an open community, but the technology had to keep working really well. So we how do we have a majority contributor, and start opening up, in a thoughtful process and bringing people in, until you can say what our target is to have the main contributor be less than 50% of the code commits. 'Cause then the majority is really coming from the community. Other projects that have been around for longer, maybe they started out with no majority. Those organizations, those projects tend to be self-organizing, and what they need is just a foundation to build a place that people can contribute money to, so the community can have events. So there's two very different types of organizations. One's almost like a charity, to say I really care about this popular open source project, and I want to be able to give something back, and others are more like a trade association, which is like, we need to enable very complex coordination between big companies that have a lot at stake, in which case you'll create a different class of foundation. >> Great, well Sam Ramji, thank you so much for being with us here on the Cube. I'm Rebecca Knight, and for your host Stu Miniman, please join us back in a bit. (futuristic tone)
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Brought to you by Red Hat. He is the Vice President of Product Management And Stu good to see you again. also the most challenging time to be a developer. and they have to bridge the very new with the very old. what people want to be doing with their time. and here you bring up the term open cloud, Stu: Yeah, yeah. And the cloud market depending on how you measure it but being able to be pulled through is going to give you and it was interesting, you know, and you kind of see that same logarithmic So let's bring it back to Red Hat here, And they're not just guys, actually, Sorry, I'm in a little bit of a jam here, just to invite people in. Microsoft has embraced open source. or is there more to it that you want to cover So Kubernetes is kind of the brightest star and talk about the culture of open source, share the copyright to the Linux kernel. and you can't be effective in a community and you guys have lots of smart people that can do that how close is it to the decision maker, Because the engineer has to get better at working and they need to be motivated to change. and others that have struggled. what have you learned that you might want to say, shifting to models where you say well, I'm Rebecca Knight, and for your host Stu Miniman,
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Day 2 Wrap Up w/ Holger Mueller - IBM Impact 2014 - theCUBE
>>The cube at IBM. Impact 2014 is brought to you by headline sponsor. IBM. Here are your hosts, John furrier and Paul Gillin. >>Hey, welcome back everyone. This is Silicon angle's the cube. It's our flagship program. We go out to the events district as soon from the noise. We're ending out day two of two days of wall to wall coverage with myself and Paul Galen. Uh, 10 to six 30 every day. I'm just, we'll take as much as we can just to get the data. Share that with you. Restrict the signal from the noise. I'm John furrier the bonus look at angle Miko is Paul Gilliam and our special guests, Holger Mueller, Mueller from constellation research analyst covering the space. Ray Wang was here earlier. You've been here for the duration. Um, we're going to break down the event. We'll do a wrap up here. Uh, we have huge impact event for 9,000 people. Uh, Paul, I want to go to you first and get your take on just the past two days. And we've got a lot of Kool-Aid injection attempts for Kool-Aid injection, but IBM people were very, very candid. I mean, I didn't find it, uh, very forceful at all from IBM. They're pragmatic. What's your thoughts on it? >>I think pragmatism is, is what I take away, John, if it gets a good, that's a good word for it. Uh, what I saw was a, uh, not a blockbuster. Uh, there was not a lot of, of, uh, of hype and overstatement about what the company was doing. I was impressed with Steve mills, but our interview with him yesterday, we asked about blockbuster acquisitions and he said basically, why, why, I mean, why should we take on a big acquisition that is going to create a headache, uh, for us in integrating into your organization? Let's focus on the spots where we have gaps and let's fill those. And that's really what they've, you know, they really have put their money where their mouth is and doing these 150 or more acquisitions over the last, uh, three or four years. Um, I think that the, the one question that I would have, I don't think there's any doubt about IBM's commitment to cloud as the future about their investment in big data analytics. They certainly have put their money where their mouth is. They're over $25 billion invested in big data analytics. One question I have coming out of this conference is about power and about the decision to exit the x86 market and really create confusion in a part of their business partners, their customers about about how they're going to fill that gap and where are they going to go for their actually needs and the power. Clearly power eight clearly is the future. It's the will fill that role in the IBM portfolio, but they've got to act fast. >>Do you think there's a ripple effect then so that that move I'll see cause a ripple effect in their ecosystem? >>Well, I was talking to a, I've talked to two IBM partners today, fairly large IBM partners and both of them have expressed that their customers are suffering some whiplash right now because all of a sudden the x86 option from IBM has gone away. And so it's frozen there. Their purchasing process and some of them are going to HP, some of them are looking at other providers. Um, I don't think IBM really has has told a coherent story to the markets yet about how >>and power's new. So they've got to prop that up. So you, so you're saying is okay, HP is going to get some new sales out of this, so frozen the for IBM and yet the power story's probably not clear. Is that what you're hearing? >>I don't think the power story is clear. I mean certainly it was news to me that IBM is taking on Intel at the, at this event and I was surprised that, that, >>that that was a surprise. Hold on, I've got to go to you because we've been sitting here the Cuban, we've been having all the execs come here and we've been getting briefed here in the cube. Shared that with the audience. You've been out on the ground, we've bumped into you guys, all, all the other analysts and all the briefings you've been in, the private sessions you've been in the rooms you've been, you've been, you've been out, out in the trenches there. What have you, what are you finding, what have you been hearing and what are the, some of the soundbites that you could share with the audience? It's not the classic God, Yemen, what are the differences? >>The Austin executives in cloud pedal, can you give me your body language? He had impact one year ago because they didn't have self layer at a time, didn't want to immediately actionable to do something involving what? A difference things. What in itself is fine, but I agree with what you said before is the messaging is they don't tell the customers, here's where we are right now. Take you by the hand. It's going to be from your door. And there's something called VMs. >>So it's very interesting. I mean I would consider IBM finalized the acquisition only last July. It's only been nine months since was acquired. Everything is software now. It leads me to think of who acquired who IBM acquired a software or did soflar actually acquire IBM because it seems to, SoftLayer is so strategic. IBM's cloud strategy going forward. >>Very strategic. I think it's probably why most transformative seemed like the Nexans agenda. And you've heard me say assault on a single thing. who makes it seven or eight weeks ago? It's moving very far. >>What do you think about the social business? Is that hanging together, that story? Hang on. It's obviously relevant direction. It's kind of a smarter planet positioning. Certainly businesses will be social. Are you seeing any meat on the bone there? On the collaboration side, >>one of the weakest parts, they have to be built again. Those again, they also have an additional for HR, which was this position, this stuff. It's definitely something which gives different change. >>I have to say, John, I was struck by the lack of discussion of social business in the opening keynote in particular a mobile mobile, big data. I mean that that came across very clear, but I've been accustomed to hearing that the social business rugby, they didn't, it didn't come out of this conference. >>Yeah. I mean my take on that was, is that >>I think it's pretty late. I don't think there's a lot of meat in the bone with the social, and I'll tell you why. I think it's like it's like the destination everyone wants to go to, but there's no really engine yet. Right. I think there's a lot of bicycle riding when they need a car. Right? So the infrastructure is just not is too embryonic, if you will. A lot of manual stuff going on. Even the analytics and you know you're seeing in the leaderboard here in the social media side and big data analytics. Certainly there are some core engine parts around IBM, but that social engine, I just don't see it happening. You risk requires a new kind of automation. It's got some real times, but I think that this is some, some nice bright spots. I love the streams. I love this zone's concept that we heard from Watson foundations. >>I think that is something that they need to pull out the war chest there and bring that front and center. I think the thinking about data as zones is really compelling and then I'll see mobile, they've got all the messaging on that and to give IBM to the benefit of the doubt. I mean they have a story now that they have a revenue generating story with cloud and with big data and social was never a revenue generating story. That's a software story. It's not big. It's not big dollars. And they've got something now that really they're really can drive. >>I'll tell you Chris Kristin from mobile first. She was very impressive and, and I'll tell you that social is being worked on. So I put the people are getting it. I mean IBM 100% gets social. I think the, the, it's not a gimmick to them. It's not like, Oh, we got some social media stuff. I think in the DNA of their soul, they, they come from that background of social. So I give them high marks on that. I just don't see the engine yet. I'm looking for analytics. I'm looking for a couple of eight cylinders. I just don't see it yet. You know, the engine, the engines, lupus and she wants to build the next generation of education. Big data, tons of mobile as the shoulder equivalent to social. I'm skeptical. I'm skeptical on Bloomix. I'll tell you why. I'm not skeptical. I shouldn't say that. >>It's going to get some plane mail for that. Okay. I'll say I'll see what's out there. I'll say it. I'm skeptical of Blumix because it could be a Wright brothers situation. Okay, look, I'm wrong guys building the wrong airplane. So the question is they might be on the wrong side of history if they don't watch the open source foundations because here's the problem. I have a blue mix, gets rushed to the market. Certainly IBM has got muscle solutions together. No doubt debting on cloud Foundry is really a risk and although people are pumping it up and it's got some momentum, they don't have a big community, they have a lot of marketing behind it and I know Jane's Wars over there is doing a great job and I'm Josh McKinsey over there with piston cloud. It'll behind it. It has all the elements of open collaboration and architecture or collaboration. However, if it's not a done deal yet in my mind, so that's a, that is a risk factor in my my mind. >>We've met a number of amazing, maybe you can help to do, to put these in order, a number of new concepts out there. We've got Bloomex the soft player, and we've got the marketplace, and these are all three concepts that approval, which is a subset of which, what's the hierarchy of these different platforms? >>That's hopefully, that's definitely at the bottom. The gives >>us visibility. You talk about the CIO and CSI all the time. Something you securities on every stupid LCO one on OCS and the marketplace. Basically naming the applications. Who would folded? IBM. IBM would have to meet opensource platform as a service. >>Well, it's not, even though it's not even open source and doing a deal with about foundries, so, so they've got, I think they're going in the middle. Where's their angle on that? But again, I like, again, the developer story's good, the people are solid. So I think it's not a fail of my, in my mind that all the messaging is great. But you know, we went to red hat summit, you know, they have a very active community, multiple generations in the data center, in the Indiana prize with Linux and, and open, you know, they're open, open shift is interesting. It's got traction and it's got legit traction. So that's one area. The other area I liked with Steve mills was he's very candid about this turf. They're staking out. Clearly the cloud game is up, is there is hardcore for them and in the IBM flavor enterprise cloud, they want to win the enterprise cloud. They clearly see Amazon, they see Amazon and its rhetoric and Grant's narrative and rhetoric against Amazon was interesting saying that there's more links on SoftLayer and Amazon. Now if you count links, then I think that number is skewed. So it's, you know, there's still a little bit of gamification going to have to dig into that. I didn't want to call him out on that, but know there's also a hosting business versus, you know, cloud parse the numbers. But what's your take on Amazon soft layer kind of comparison. >>It's, it's fundamentally different, right? Mustn't all shows everything. Why did see retailers moves is what to entirely use this software, gives them that visibility machine, this accommodation more conservatively knowing that I buy them, I can see that I can even go and physically touch that machine and I can only did the slowly into any cloud virtualization shed everything. >>Oh, Paul, I gotta say my favorite interview and I want to get your take on this. It was a Grady food. She was sat down with us and talk with us earlier today. IBM fell up, walks on water with an IBM Aussie legend in the computer industry. Just riveting conversation. I mean, it was really just getting started. I mean, it felt like we were like, you know, going into cruising altitude and then he just walked away. So they w what's your take on that conversation? >>Well, I mean, certainly he, uh, the gritty boujee interview, he gave us the best story of, of the two days, which is, uh, they're being in the hospital for open heart surgery, looking up, seeing the equipment, and it's going to be used to go into his chest and open his heart and knowing that he knows the people who program that, that equipment and they programmed it using a methodology that he invented. Uh, that, that, that's a remarkable story. But I think, uh, uh, the fact that that a great igloo can have a job at a company like IBM is a tribute to IBM. The fact that they can employ people like that who don't have a hard revenue responsibility. He's not a P. and. L, he's just, he's just a genius and he's a legend and he's an IBM to its crude, finds a place for people like that all throughout his organization. >>And that's why they never lost their soul in my opinion. You look at what HP and IBM, you know, IBM had a lot of reorganizations, a lot of pivots, so to speak, a lot of battleship that's turned this in way. But you know, for the most part they kept their R and D culture. >>But there's an interesting analogy too. Do you remember the case methodology was mutual support of them within the finance language that you mailed something because it was all about images, right? You would use this, this methodology, different vendors that were prior to the transport itself. Then I've yet to that credit, bring it together. bring and did a great service to all for software engineering. And maybe it's the same thing at the end, can play around diversity. >>You've got to give IBM process a great point. Earlier we, Steve mills made a similar reference around, it wasn't animosity, it was more of Hey, we've helped make Intel a big business, but the PC revolution, you know, where, what's in it for us? Right? You know, where's our, you know, help us out, throw us a bone. Or you know, you say you yell to Microsoft to go of course with the licensing fee with Gates, but this is the point, the unification story and with grays here, you know IBM has some real good cultural, you know industry Goodwill, you agree >>true North for IBM is the Antal quest customer. They'll do what's right where the money and the budget of the enterprise customers and press most want compatibility. They don't want to have staff, of course they want to have investment protection >>guys. I'd be able to do a good job of defining that as their cloud strategy that clearly are not going head to head with Amazon. It's a hybrid cloud strategy. They want to, they see the enterprise customers that legacy as as an asset and it's something they want to build on. Of course the risk of that is that Amazon right now is the pure play. It has all the momentum. It has all the buzz and and being tied to a legacy is not always the greatest thing in this industry, but from a practical revenue generating standpoint, it's pretty good. >>Hey guys, let's go down and wrap up here and get your final thoughts on the event. Um, and let's just go by the numbers, kind of the key things that IBM was promoting and then our kind of scorecard on kind of where they, where they kind of played out and new things that popped out of the woodwork that got your attention. You see the PO, the power systems thing was big on their messaging. Um, the big data story continues to be part of it. Blue mix central to the operations and the openness. You had a lot of open, open openness in their messaging and for the most part that's pretty much it. Um, well Watson, yeah, continue. Agents got up to Watson. >>Wow. A lot of news still to come out of Watson I think in many ways that is their, is their ACE in the hole and then that is their diamond. Any other thoughts? >>Well, what I missed is, which I think sets IBM apart from this vision, which is the idea of the API. Everybody else at that pure name stops the platform or says, I'm going to build like the org, I'm going to build you. That's a clear differentiator on the IBM side, which you still have to build part. They still have to figure out granularity surface that sets them apart that they have to give one. >>Yeah, and I think I give him an a plus on messaging. I think they're on all the right fault lines on the tectonic shifts that we're seeing. Everyone, I asked every every guest interview, what's the game changing moment? Why is it so important? And almost consistently the answers were, you know, we're living in a time of fast change data, you know, efficiency spare or you're going to be left behind. This is the confluence of all these trends, these fall lines. So I think IBM is sitting on these fall lines. Now the question is how fast can they cobbled together the tooling from the machineries that they have built over the years. Going back to the mainframe anniversary, it's out there. A lot of acquisitions, but, but so far the story and the story >>take the customer by the hand. That's the main challenge. I see. This wasn't often we do in Mexico, they want zero due to two times or they're chilling their conferences. It's the customer event and you know, and it's 9,000 people somehow have to do something to just show, right? So why is my wave from like distinguished so forth and so and so into? Well Lou mentioned, sure for the cloud, but how do we get there, right? What can we use, what am I SS and leverage? How do I call >>guys, really appreciate the commentary. Uh, this is going to be a wrap for us when just do a shout out to Matt, Greg and Patrick here doing a great job with the production here in the cube team and we have another cube team actually doing a simultaneous cube up in San Francisco service. Now you guys have done a great job here. And also shout out to Bert Latta Moore who's been doing a great job of live tweeting and help moderate the proud show, which was really a huge success and a great crowd chat this time. Hopefully we'll get some more influencers thought leaders in there for the next event and of course want to thank Paul Gillen for being an amazing cohost on this trip. Uh, I thought the questions and the and the cadence was fantastic. The guests were happy and hold there. Thank you for coming in on our wrap up. >>Really appreciate it. Constellation research. Uh, this is the cube. We are wrapping it up here at the IBM impact event here live in Las Vegas. It's the cube John furrier with Paul Gillen saying goodbye and see it. Our next event and stay tuned if it's look at angel dot DV cause we have continuous coverage of service now and tomorrow we will be broadcasting and commentating on the Facebook developer conference in San Francisco. We're running here, Mark Zuckerberg and all Facebook's developers and all their developer programs rolling out. So watch SiliconANGLE TV for that as well. Again, the cube is growing with thanks to you watching and thanks to all of our friends in the industry. Thanks for watching..
SUMMARY :
Impact 2014 is brought to you by headline sponsor. Uh, Paul, I want to go to you first and get your take on just the I don't think there's any doubt about IBM's commitment to cloud as the future about their investment in big data Their purchasing process and some of them are going to HP, some of them are looking at other providers. so frozen the for IBM and yet the power story's probably not clear. I don't think the power story is clear. You've been out on the ground, we've bumped into you guys, all, all the other analysts and all the briefings you've been in, What in itself is fine, but I agree with what you said before is the messaging It leads me to think of who acquired who IBM acquired a software or did soflar actually acquire like the Nexans agenda. On the collaboration side, one of the weakest parts, they have to be built again. I have to say, John, I was struck by the lack of discussion of social business in the opening keynote I don't think there's a lot of meat in the bone with the social, and I'll tell you why. I think that is something that they need to pull out the war chest there and bring that front and center. I just don't see the engine yet. So the question is they might be on the wrong side of history if they don't watch the open source foundations because here's We've got Bloomex the soft player, and we've got the marketplace, That's hopefully, that's definitely at the bottom. You talk about the CIO and CSI all the time. I didn't want to call him out on that, but know there's also a hosting business versus, you know, cloud parse the numbers. is what to entirely use this software, I mean, it felt like we were like, you know, going into cruising altitude and then he just walked away. of the two days, which is, uh, they're being in the hospital for open heart surgery, You look at what HP and IBM, you know, And maybe it's the same thing at the end, can play around diversity. but this is the point, the unification story and with grays here, you know IBM has some real good cultural, of the enterprise customers and press most want compatibility. It has all the buzz and and being tied to a legacy is not always the and let's just go by the numbers, kind of the key things that IBM was promoting and then our kind of scorecard is their ACE in the hole and then that is their diamond. Everybody else at that pure name stops the platform or says, I'm going to build like the org, And almost consistently the answers were, you know, It's the customer event and you know, and it's 9,000 people somehow have to do something to just show, for the next event and of course want to thank Paul Gillen for being an amazing cohost on this trip. Again, the cube is growing with thanks to you watching and thanks to all of
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Fred Balboni - IBM Information on Demand 2013 - theCUBE
okay welcome back live in Las Vegas is the cube ibm's information on demand conferences q exclusive coverage SiliconANGLE will keep on here live I'm John furry the founder of silicon Hank I'm Joe mykos Dave vellante co-founder Wikibon org our next guest is a Fred Balboni global leader business analytics optimization IBM GBS global business services you know obviously big data is powering the world I mean just can demand for information and solutions is off the charts afraid welcome to the cube anything there's a services angle here where you know services matters because one in the channel partner is this good gross profit for helping customers implement solutions that they have demand for so you've a combination of a market that's exploding with demand people know it's a game changer with big data analytics cloud is obviously right there in the horizon in terms of on prem of Prem then you've got now see mobile devices bring your own device to work which is thrown off more data okay and then people want to be in all the different channels the social business so you know CIO to CEO says hey this new wave is here if we don't think about it now and get a position and understand it the consequences of not doing anything might be higher than they are so we've heard that how do you look at that and what are you guys doing what's the strategy give us a quick update and from from GBS i think that the to make this successful first of all it services is important it's the last mile you know that means the point you may it's the last mile and without without that you cannot ever deliver the value the the really interesting challenge that every executive faces is you need to be able to we can easily get our head around big data technology and I shouldn't trivialize that but you can go and understand the technology what's possible in big data you can also get your head around analytics and the analytics algorithms and the kind of insights that can be drawn from that the real challenge is how do you articulate what's kind of possible to a client because many of the use cases are very niche and so clients often say yet that's right but it's big it's possibly bigger than that yeah that's right it's possibly bigger than that the other issue or the other challenge to get we've got a hurdle we've got a jump on me articulate this to the businesses clients businesses think in terms of process you don't think in terms of data you know you don't go talk to a CIO CEO and say you know tell us what's the key attributes of your customer and they don't think that way they can talk to you about servicing a customer or selling to a customer or managing customer complaints so that the processes but the data it's a tough thing so the first part the services is so crucial in this is being able to articulate the value of analytics and big data to a client in the businesses terms so it becomes a boardroom conversation kind of so that's that gets the program started and then quickly being able to fill in with use cases because clients don't want this to be they don't want to start from a blank sheet of paper and they don't like going to give me some quick wins here so it's kind of those timetable what kind of timetables mmmm back in the 80s 90s when client-server rolled out it was months and months yeah project management meetings roll out the Oracle systems roll out the big iron now I mean I'll see maybe shorter spurts little different hurdles what's the timetable only some of these horizons for these quick wins okay so project implementation I come on now let's let's know it's it's I think that that we're measuring project implementations in weeks I think cloud-based technology allows us to provision environments on the order of a couple of weeks and that used to be on the order of five to six months so I think that's going to that accelerates everything and that also allows you to do a lot of a lot more speed to value get applications or analytics use cases up there much more rapidly one two as you start to build these portfolio of use cases and if they're built on acceleration tools I mean acceleration so you've got those code sets that are already there that you can add you can jump on top of I mean you can get these use cases up there in 6-8 weeks we have one we have an example a really large major company i'd rather not i'd rather not because it's not externally referenceable but a really a significant client that had on the order of more than more than 5 million discreet customers and doing detailed customer analytics on their customer base against their products and we were able to get that baby up and running in three and a half months now that two to three years ago traditional logic would have told you that was a nine to twelve month project and by the way you know ten years ago that would have been a 18 to 24 month project yeah so I think that yeah we're moving much more rats the expectation now too I mean the customers realize that too right the absolute not but but there's one thing I want to talk about this it's still this is the one thing that if you'd asked me what's most important this speed thing allows you to go rapidly to places but you you better have a navigation roadmap on where you're going because if you're going to do all kinds of little code drops that's great but you want to make sure you're getting leverage so you're going somewhere so therefore there's a scale but this is where roadmapping becomes really really important for every the technology side of the business you have to have a technology roadmap the other thing that's really important out of this is if you don't let's use the client-server example you used because this kind of has a you know we've all been here right here we've all lived seen this movie before yeah if you if you don't in the build this roadmap another thing that happens do you remember when CIOs finally said okay I'm taking control this client servicing sure what do they end up with they ended up with all these departments of computing in the costs work going astronomical so if you've got a road map you can also address the issues of managed services because you don't the least thing you want to be is having all these data Mart's that are scattered everywhere because you get no economies you get no economies of it but a cloud would bring you you get Noah kind you get no economies and being able to do that and you end up having to have all these maintenance teams you know that maintenance and by the way analytics by its nature has constant maintenance little adjustments and changes you're getting new economies of that because they're all managed is discrete units so therefore there's a lot to be as you build this roadmap you've got to think about the managed services environment as well so Fred you talked about earlier clients don't think in terms of data they think in terms of their business process is that a blind spot for clients because there are some companies Google for example that does think in terms of data in your view should clients increasingly be thinking in data terms or does our industry have to evolve to make the data map to business process I actually I kind of just take it as a thick I don't I don't I don't choose to question why I just accept it um i but i would say i which i would say customer's always right I just I just think the industry i thought that definitely but i think just the industries at a stage where you know we've always you know back in the old days of you know i'm going to show my age here but you know the procedure division in the data division oh my god looked at all and and and we you know the procedure division is where you actually did all the really and i think if the reason is we got understand the paradigm under which modern computing was created I don't to be like we go into history lesson but the paradigm under which modern computing was created was that we use computers to automate tasks so we've always taken this procedural approach which went then we went to process reengineering and that became a boardroom conversation so just I think we've conditioned over the last 40 years businesses to think about using technology to gain business efficiency they've always thought in terms of process so that's why this data element yeah companies like Google founded on analytics clearly have got a whole different headset in a different way to approach these which gives them a built-in bias when they address the problems they've got in their businesses sure but you don't come a decline saying hey you got to rethink the way in which you look at data you come in and say let's figure out how we can exploit data in your biz erect what we do it two ways we do it two ways first of all let me not dress let me not dress monton up as lamb at the end of the day it's its data its data okay now the question is how you articulate that and it's twofold we tend to I like to use a metaphor to describe the data so if its customer that the metaphor we've been using recently is DNA DNA strands to be able so you use a metaphor that there's a language that the business can relate to and you can create a common language very easy one in that way you can have an account because you're never going to drag a CEO into your fourth normal form data model so so therefore you've got to you've got to talk a language one number two you talk about as a collection of use cases so you use use cases as a vehicle to have the process conversation and because with the use case you also can talk business outcomes benefits and you can tell kind of a story you don't have to drag them through the details of the process but you can tell them a story whether it's you know I if you can understand called detailed called detailed data records and the affinities you can understand the social networks and therefore you can reduce churn within your telco customer base as an example quick but if you follow I do so you talked about its little use cases and they begin to understand wow what's possible and then you talk about their data as a DNA chain and they get I got it I actually need to get the DNA chain if I'm going to actually think about think about my customer base or my product base or whatever the lingua franca the business is still the businesses language it doesn't result of data but data can enrich the conversation in a way that can lead to new outcomes the data in rich's the conversation when you talk about the business outcomes that are created as the part of the use case well it's like a three third order differential equation but i go back i watch this yeah i just go say your tweet your epic soundbite machine just can't type fast enough on the crowd chat it's good for good for Twitter viewing yeah I've just opened a Twitter account please look me up I'm looking for friends I promise to start posting you got people watching all right all right so so in terms of customers right give us a little bit peak of some of the customer responses when you when you open the kimono show them the road map you know the messaging around on IBM right now is pretty tight here at IOD last year was good this year is better you look really unified face to the customer when you show them the road map what's the feeling they get it they feel like okay I got some trust IBM's got some track record history do they is the is the emotion more of okay where do I jump in how do I jump in there doing it and this little shadow IT going on all over the place we know with Amazon out the area so so when you're in there you've got to have these are conversations what do they like and what's that what's the level of response you get from CIOs and then also the folks in the trenches so there's always a question which there's a couple of questions first of all is how can I get how can I get value from this and that in that and that's you know a I'm tightly coupled to my existing transaction processing which is kind of like if you will call that turbocharged bi and and which is which is where so many people have come from is this turbocharged bi environment and listen that's an important part of your reporting business you need to do that to keep the wheels on the question is as you move to this notion of analytics giving you great insight then then you've got to say okay I need to go from turbocharged bi to really augmented components so clients I'd say there's a large there's a large group of people that are right now moving from turbocharged bi to the notion advanced use cases so there's this some disco a large discussion right now how do I show me do use cases by which i can I can rapidly that would be advanced how to linux up the calling advance limit well no we have well 60 60 use cases industry-based use cases that we as a services business put together on top of that we have about seven or eight key code fragments that we uses accelerators I mean we call them wink we call them assets and we just them up as accelerators but their code fragments that we bring to a client as the basis that we put on top of the the blue stack of technology to actually get them a speed to value because we really want to be able to get clients up and running within this notion of non idealities it's like literally being best practices in the form of technology to the customers well you're on an IBM thing I mean dare I called an application no I wouldn't dare call it an application we're not in that business but the point is is that it is it's starting to feel like an application because it's really moving down these unreal integrated solution is really where we going it's an accelerant this code correct so it's leverage the economies of scale is every success breeds that's exactly it more and then on top of that we would have that just don't throw a few other things that we do to accelerate these things we actually have five what we call signature solutions which is services software together with a piece of services code coming together to solve a problem we've got that round risk and fraud around customers I mean some specific very narrow things if somebody wants to you know because often IT departments they want to buy something they want to buy something they don't want to go down the parts they want to buy something and so fine here's a package solution let's go buy something um and then last but not least one thing we haven't talked much about but I always like to throw this out there because I think this is one of the things they and we didn't talk about it much in the main 10 or any better sessions but let's not forget about IBM research I'm really proud to report to you now since we started this category we've done 61st of a kinds with IBM Research so this is about client says I've got this problem i think it's unachievable i cannot solve this problem you know help me map in my oil exploration like things that are considered big problems big problems let's let's apply this group that does patent factory you know that IBM is but 15 years in a row let's apply those people to my our problems and we have 60 we have 16 so we do about 15 to 20 a year so it's not like we like we're not cranking these out like I'm hundreds of thousands of licenses but it's where basically our services business our software business and IBM Research go work on solving a client specific problem you heard Tim Buckman this morning when he was asked to know why IBM that was said IBM Research was the first answer that's right he gave we talked to him about that on the cube you know in his is insane me as a customer and we you know we always love to hear from customers I mean you know the splunk conference just had was just last week as an emerging startup because probably well aware of those guys they have customers that just say just glowing reports you get to the same same set of customers you know he is someone of high-caliber at the command and control in his healthcare mission and he's automating himself he it's and essentially creating this new data model that allows it to be pushed down to be listen you've got to do this and I'll tell you why you remember the the governance discussion is it was well I'm most excited about is the governance discussion five to eight years ago was an arcane discussion available of data modelers and like what do we do the governance discussion is quickly moving into the language of our business people and the reason is because they're beginning to do you remember the days of accounting systems when they say we want our accounting department to focus on analyzing the numbers and not collecting and forming the numbers well we're here again and if you've got good data governance you can focus on creating the insights and determining what actions you want from the insights as opposed to questioning the numbers and questioning the validity and the heritage of the number the validity and the heritage of the numbers and in this place everywhere yep financial services companies are the most stressed about it because the validity and heritage is required when you want to prove a compliance to a federal statute yes but it means everywhere if you're a consumer packaged goods company and you don't believe that sales are down in a certain market or a certain chain store first thing they do is they start challenging the numbers if you have good governance you can now start that you can now start to trust these systems of record but let's talk about data quality data quality but it's also the governess in the death of mindset is much broader iteration right how we said the first you know that folks from the nonprofit said you want to go on the record but he's basically saying I'll say basically when you put stuff out when you package and then bring it out it still might have some flaws in the data quality but it's the iteration is transformational but once that's in market saying that's changing he things prepare pre-packaging data and then bringing it in is not the better approach but I want to ask you about the your what you just said about this governance conversation that is date the core of this debate around the data economy what is the data economy in your mind given what you do the history that you've lived through we've seen those movies now the cutting edge new wave that will create new well for new ways change from transform business all that stuff's great but what is the data conn what does that mean to business executives that they're focusing on outcomes is is it changing data governance is it changing the value chains is it changing what's your thoughts on that the data economy is about discovering those points of leverage that that the data tells you that your instincts don't the data tells you that your instincts don't one of my favorite stories three years ago four years ago we were called in and clients said this is my problem the going and problem was I got to take 200 million dollars out of my advertising spend budget two hundred million dollars out of my advertising spend was he's a retailer end and the problem is is out of my 600 million dollar advertising budget the problem I have is also have all kinds of interesting theories and models that my agencies have told me I'm not quite sure do I just take 200 off the board across the board do I take 200 off to minimize my risk just spread it around how do i how do I manage the process and what we actually did was we built a super super set of sophisticated analytics which tied to their transaction systems but also tied to their social media system so we also understood and what we did was we were able to understand which customer cohorts responded to which media types then we added one more parts of the model which is we understood the trending in the cost of free-to-air cable radio internet all the different media types and as we looked at the cost models of them and we understood which customer cohorts responded to which media types we suddenly realized that they were super saturated in certain media types they could like doubled their spin and they wouldn't got want any lift in the advertised in their in their sales what we did was we got 200 million out of their budget and increase they got 300 million incremental sales that Christmas season because we help them get really smart about the play let me tell you I tell us privately i maked media buyers look at me like like I'm like a pariah yeah but but it is actually really you know really started to rethink now there's just a really great example because I think we've all can relate to that but that's the data economy where you find these veins of gold in these simple correlations and from that simple correlation you can instantly go and your business you can get the lift listen I can get five percent I IBM get five percent ten percent lift in some small segment business I've got the volume that's going to make a significant difference to my share one small piece of data could open up a window kind of had with Jodie Foster we would contact words like one piece of data opens up a ton of new data I mean that totally is leverage and it changes the game for that customer and and that to me is that is the guts of the data economy identifying those correlations and and what we're finding is our most recent study we just released it here the thing the IB the IBM Institute for business value big data and analytics study w IBM com it's the Institute for bit I bv study on big data just released and said 75 percent of all companies that are outperforming their peers have said big data analytics is one of the key reasons and the human component not to put are all on machines it's really about it's an ardent science its a mix of both the math and the human piece well you know there's this notion of not only do you create the insight but you've got to take action on the insight you know it's not enough to know if I could predict for you who's going to win tonight's basketball game you still got to place the bet you still have to take action on the inside and so therefore this notion of action to insight is all about trust trust in the insight trust in the data and trust in the technology that the business trust the technology and it's until you take that leap of faith remember when the Indiana Jones movie when he liked the leap of faith and you've got to like to step out and take that leap of faith once you take that leap of faith in you suddenly have trust in the data so that's that trust to mention and that's a human thing that's not a that's that's not a that's an organizational thing that is not a lot of technology in that one okay Fred we gotta wrap up i'll give you the final word for the folks out there quickly put a bumper sticker on iod this year's and put on my car when I Drive home what's that bumper sticker say for this year it's not all about the technology but it starts with the technology ok we're here live in Las Vegas we're going to take about that bet that was going to win the games and I will be the sports book later this is the cube live in Las Vegas for information on demand hashtag IBM iod this tequila right back with our next guest if the short break exclusive coverage from information on demand ibm's premier conference we write back the q
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