>>president >>so called big data promised to usher in a new era of innovation where companies competed on the basis of insights and agile decision making. There's little question that social media giants, search leaders and e commerce companies benefited. They had the engineering shops and the execution capabilities to take troves of data and turned them into piles of money. But many organizations were not as successful. They invested heavily in data architecture is tooling and hyper specialized experts to build out their data pipelines. Yet they still struggle today to truly realize they're busy. Did data in their lakes is plentiful but actionable insights aren't so much chaos. Search is a cloud based startup that wants to change this dynamic with a new approach designed to simplify and accelerate time to insights and dramatically lower cost and with us to discuss his company and its vision for the future is cuba Lem Ed Walsh had great to see you. Thanks for coming back in the cube. >>I always love to be here. Thank you very much. It's always a warm welcome. Thank you. >>Alright, so give us the update. You guys have had some big funding rounds, You're making real progress on the tech, taking it to market what's new with chaos surgery. >>Sure. Actually even a lot of good exciting things happen. In fact just this month we need some, you know, obviously announced some pretty exciting things. So we unveiled what we consider the industry first multi model data late platform that we allow you to take your data in S three. In fact, if you want to show the image you can, but basically we allow you to put your data in S three and then what we do is we activate that data and what we do is a full index of the data and makes it available through open a P. I. S. And the key thing about that is it allows your end users to use the tools are using today. So simply put your data in your cloud option charge, think Amazon S three and glacier think of all the different data. Is that a natural act? And then we do the hard work. And the key thing is to get one unified delic but it's a multi mode model access so we expose api like the elastic search aPI So you can do things like search or using cabana do log analytics but you can also do things like sequel, use Tableau looker or bring relational concepts into cabana. Things like joins in the data back end. But it allows you also to machine learning which is early next year. But what you get is that with that because of a data lake philosophy, we're not making new transformations without all the data movement. People typically land data in S. Three and we're on the shoulders of giants with us three. Um There's not a better more cost effective platform. More resilient. There's not a better queuing system out there and it's gonna cost curve that you can't beat. But basically so people store a lot of data in S. Three. Um But what their um But basically what you have to do is you E. T. L. Out to other locations. What we do is allow you to literally keep it in place. We index in place. We write our hot index to rewrite index, allow you to go after that but published an open aPI S. But what we avoid is the GTL process. So what our index does is look at the data and does full scheme of discovery normalization, were able to give sample sets. And then the refinery allows you to advance transformations using code. Think about using sequel or using rejects to change that data pull the dead apartheid things but use role based access to give that to the end user. But it's in a format that their tools understand cabana will use the elasticsearch ap or using elasticsearch calls but also sequel and go directly after data by doing that. You get a data lake but you haven't had to take the three weeks to three months to transform your data. Everyone else makes you. And you talk about the failure. The idea that Alex was put your data there in a very scalable resilient environment. Don't do transformation. It was too hard to structure for databases and data. Where else is put it there? We'll show you how value out Largely un delivered. But we're that last mile. We do exactly that. Just put it in s. three and we activated and activate it with a piece that the tools of your analysts use today or what they want to use in the future. That is what's so powerful. So basically we're on the shoulders of giants with street, put it there and we light it up and that's really the last mile. But it's this multi model but it's also this lack of transformation. We can do all the transformation that's all to virtually and available immediately. You're not doing extended GTL projects with big teams moving around a lot of data in the enterprise. In fact, most time they land and that's three and they move it somewhere and they move it again. What we're saying is now just leave in place well index and make it available. >>So the reason that it was interesting, so the reason they want to move in the S three was the original object storage cloud. It was, it was a cheap bucket. Okay. But it's become much more than that when you talk to customers like, hey, I have all this data in this three. I want to do something with it. I want to apply machine intelligence. I want to search it. I want to do all these things, but you're right. I have to move it. Oftentimes to do that. So that's a huge value. Now can I, are you available in the AWS marketplace yet? >>You know, in fact that was the other announcement to talk about. So our solution is one person available AWS marketplace, which is great for clients because they've been burned down their credits with amazon. >>Yeah, that's that super great news there. Now let's talk a little bit more about data. Like you know, the old joke of the tongue in cheek was data lakes become data swamps. You sort of know, see no schema on, right. Oh great. I can put everything into the lake and then it's like, okay, what? Um, so maybe double click on that a little bit and provide a little bit more details to your, your vision there and your philosophy. >>So if you could put things that data can get after it with your own tools on elastic or search, of course you do that. If you don't have to go through that. But everyone thinks it's a status quo. Everyone is using, you know, everyone has to put it in some sort of schema in a database before they can get access to what everyone does. They move it some place to do it. Now. They're using 1970s and maybe 1980s technology. And they're saying, I'm gonna put it in this database, it works on the cloud and you can go after it. But you have to do all the same pain of transformation, which is what takes human. We use time, cost and complexity. It takes time to do that to do a transformation for an user. It takes a lot of time. But it also takes a teams time to do it with dBS and data scientists to do exactly that. And it's not one thing going on. So it takes three weeks to three months in enterprise. It's a cost complexity. But all these pipelines for every data request, you're trying to give them their own data set. It ends up being data puddles all over this. It might be in your data lake, but it's all separated. Hard to govern. Hard to manage. What we do is we stop that. What we do is we index in place. Your dad is already necessary. Typically retailing it out. You can continue doing that. We really are just one more use of the data. We do read only access. We do not change that data and you give us a place in. You're going to write our index. It's a full rewrite index. Once we did that that allows you with the refinery to make that we just we activate that data. It will immediately fully index was performant from cabana. So you no longer have to take your data and move it and do a pipeline into elasticsearch which becomes kind of brittle at scale. You have the scale of S. Three but use the exact same tools you do today. And what we find for like log analytics is it's a slightly different use case for large analytics or value prop than Be I or what we're doing with private companies but the logs were saving clients 50 to 80% on the hard dollars a day in the month. They're going from very limited data sets to unlimited data sets. Whatever they want to keep an S. Three and glacier. But also they're getting away from the brittle data layer which is the loosen environment which any of the data layers hold you back because it takes time to put it there. But more importantly It becomes brittle at scale where you don't have any of that scale issue when using S. three. Is your dad like. So what what >>are the big use cases Ed you mentioned log analytics? Maybe you can talk about that. And are there any others that are sort of forming in the marketplace? Any patterns that you see >>Because of the multi model we can do a lot of different use cases but we always work with clients on high R. O. I use cases why the Big Bang theory of Due dad like and put everything in it. It's just proven not to work right? So what we're focusing first use cases, log analytics, why as by way with everything had a tipping point, right? People were buying model, save money here, invested here. It went quickly to no, no we're going cloud native and we have to and then on top of it it was how do we efficiently innovate? So they got the tipping point happens, everyone's going cloud native. Once you go cloud native, the amount of machine generated data that you have that comes from the environment dramatically. It just explodes. You're not managing hundreds or thousands or maybe 10,000 endpoints, you're dealing with millions or billions and also you need this insight to get inside out. So logs become one of the things you can't keep up with it. I think I mentioned uh we went to a group of end users, it was only 60 enterprise clients but we asked him what's your capture rate on logs And they said what do you want it to be 80%, actually 78 said listen we want eight captured 80 200 of our logs. That would be the ideal not everything but we need most of it. And then the same group, what are you doing? Well 82 had less than 50%. They just can't keep up with it and every everything including elastic and Splunk. They work harder to the process to narrow and keep less and less data. Why? Because they can't handle the scale, we just say landed there don't transform will make it all available to you. So for log analytics, especially with cloud native, you need this type of technology and you need to stop, it's like uh it feels so good when you stop hitting your head against the wall. Right? This detail process that this type of scale just doesn't work. So that's exactly we're delivering the second use case uh and that's with using elastic KPI but also using sequel to go after the same data representation. And we come out with machine learning. You can also do anomaly detection on the same data representation. So for a log uh analytic use case series devops setups. It's a huge value problem now the same platform because it has sequel exposed. You can do just what we use the term is agile B. I people are using you think about look or tableau power bi I uh metabolic. I think of all these toolsets that people want to give and uh and use your business or coming back to the centralized team every single week asking for new datasets. And they have to be set up like a data set. They have to do an e tail process that give access to that data where because of the way just landed in the bucket. If you have access to that with role based access, I can literally get you access that with your tool set, let's say Tableau looker. You know um these different data sets literally in five minutes and now you're off and running and if you want a new dataset they give another virtual and you're off and running. But with full governance so we can use to be in B I either had self service or centralized. Self service is kind of out of control, but we can move fast and the centralized team is it takes me months but at least I'm in control. We allow you do both fully governed but self service. Right. I got to >>have lower. I gotta excel. All right. And it's like and that's the trade off on each of the pieces of the triangle. Right. >>And they make it easy, we'll just put in a data source and you're done. But the problem is you have to E T L the data source. And that's what takes the three weeks to three months in enterprise and we do it virtually in five minutes. So now the third is actually think about um it's kind of a combination of the two. Think about uh you love the beers and diaper stories. So you know, think about early days of terror data where they look at sales out data for business and they were able to look at all the sales out data, large relational environment, look at it, they crunch all these numbers and they figured out by different location of products and the start of they sell more sticker things and they came up with an analogy which everyone talked about beers and diapers. If you put it together, you sell more from why? Because afternoon for anyone that has kids, you picked up diapers and you might want to grab a beer of your home with the kids. But that analogy 30 years ago, it's now well we're what's the shelf space now for approximate company? You know it is the website, it's actually what's the data coming from there. It's actually the app logs and you're not capturing them because you can't in these environments or you're capturing the data. But everyone's telling, you know, you've got to do an E. T. L. Process to keep less data. You've got to select, you got to be very specific because it's going to kill your budget. You can't do that with elastic or Splunk, you gotta keep less data and you don't even know what the questions are gonna ask with us, Bring all the app logs just land in S. three or glacier which is the most it's really shoulders of giants right? There's not a better platform cost effectively security resilience or through but to think about what you can stream and the it's the best queuing platform I've ever seen in the industry just landed there. And it's also very cost effective. We also compress the data. So by doing that now you match that up with actually relatively small amount of relational data and now you have the vaccine being data. But instead it's like this users using that use case and our top users are always, they start with this one then they use that feature and that feature. Hey, we just did new pricing is affecting these clients and that clients by doing this. We get that. But you need that data and people aren't able to capture it with the current platforms. A data lake. As long as you can make it available. Hot is a way to do it. And that's what we're doing. But we're unique in that. Other people are making GTL IT and put it in a in 19 seventies and 19 eighties data format called a schema. And we avoided that because we basically make S three a hot and elected. >>So okay. So I gotta I want to, I want to land on that for a second because I think sometimes people get confused. I know I do sometimes without chaos or it's like sometimes don't know where to put you. I'm like okay observe ability that seems to be a hot space. You know of course log analytics as part of that B. I. Agile B. I. You called it but there's players like elastic search their star burst. There's data, dogs, data bricks. Dream EOS Snowflake. I mean where do you fit where what's the category and how do you differentiate from players like that? >>Yeah. So we went about it fundamentally different than everyone else. Six years ago. Um Tom hazel and his band of merry men and women came up and designed it from scratch. They may basically yesterday they purposely built make s free hot analytic environment with open A. P. I. S. By doing that. They kind of changed the game so we deliver upon the true promises. Just put it there and I'll give you access to it. No one else does that. Everyone else makes you move the data and put it in schema of some format to get to it. And they try to put so if you look at elasticsearch, why are we going after? Like it just happens to be an easy logs are overwhelming. You once you go to cloud native, you can't afford to put it in a loose seen the elk stack. L is for loosen its inverted index. Start small. Great. But once you now grow it's now not one server. Five servers, 15 servers, you lose a server, you're down for three days because you have to rebuild the whole thing. It becomes brittle at scale and expensive. So you trade off I'm going to keep less or keep less either from retention or data. So basically by doing that so elastic we're not we have no elastic on that covers but we allow you to well index the data in S. Tree and you can access it directly through a cabana interface or an open search interface. Api >>out it's just a P. >>It's open A P. I. S. It's And by doing that you've avoided a whole bunch of time cost, complexity, time of your team to do it. But also the time to results the delays of doing that cost. It's crazy. We're saving 50-80 hard dollars while giving you unlimited retention where you were dramatically limited before us. And as a managed service you have to manage that Kind of Clunky. Not when it starts small, when it starts small, it's great once at scale. That's a terrible environment to manage the scale. That's why you end up with not one elasticsearch cluster, dozens. I just talked to someone yesterday had 125 elasticsearch clusters because of the scale. So anyway, that's where elastic we're not a Mhm. If you're using elastic it scale and you're having problems with the retired off of cost time in the, in the scale, we become a natural fit and you don't change what your end users do. >>So the thing, you know, they had people here, this will go, wow, that sounds so simple. Why doesn't everybody do this? The reason is it's not easy. You said tom and his merry band. This is really hard core tech. Um and it's and it's it's not trivial what you've built. Let's talk about your secret sauce. >>Yeah. So it is a patented technology. So if you look at our, you know, component for architecture is basically a large part of the 90% of value add is actually S. Three, I gotta give S three full kudos. They built a platform that we're on shoulders of giants. Um But what we did is we purpose built to make an object storage a hot alec database. So we have an index, like a database. Um And we basically the data you bring a refinery to be able to do all the advanced type of transformation but all virtually done because we're not changing the source of record, we're changing the virtual views And then a fabric allows you to manage and be fully elastic. So if we have a big queries because we have multiple clients with multiple use cases, each multiple petabytes, we're spending up 1800 different nodes after a particular environment. But even with all that we're saving them 58%. But it's really the patented technology to do this, it took us six years by the way, that's what it takes to come up with this. I come upon it, I knew the founder, I've known tom tom a stable for a while and uh you know his first thing was he figured out the math and the math worked out. Its deep tech, it's hard tech. But the key thing about it is we've been in market now for two years, multiple use cases in production at scale. Um Now what you do is roadmap, we're adding a P. I. So now we have elasticsearch natural proofpoint. Now you're adding sequel allows you open up new markets. But the idea for the person dealing with, you know, so we believe we deliver on the true promise of Data Lakes and the promise of Data lakes was put it there, don't focus on transferring. It's just too hard. I'll get insights out and that's exactly what we do. But we're the only ones that do that everyone else makes you E. T. L. At places. And that's the innovation of the index in the refinery that allows the index in place and give virtual views in place at scale. Um And then the open api is to be honest, uh I think that's a game. Give me an open api let me go after it. I don't know what tool I'm gonna use next week every time we go into account they're not a looker shop or Tableau Sharp or quick site shop there, all of them and they're just trying to keep up with the businesses. Um and then the ability to have role based access where actually can give, hey, get them their own bucket, give them their own refinery. As long as they have access to the data, they can go to their own manipulation ends up being >>just, >>that's the true promise of data lakes. Once we come out with machine learning next year, now you're gonna rip through the same embassy and the way we structured the data matrices. It's a natural fit for things like tensorflow pytorch, but that's, that's gonna be next year just because it's a different persona. But the underlining architecture has been built, what we're doing is trying to use case that time. So we worked, our clients say it's not a big bang. Let's nail a use case that works well. Great R. O. I great business value for a particular business unit and let's move to the next. And that's how I think it's gonna be really. That's what if you think about gardener talks about, if you think about what really got successful in data, where else in the past? That's exactly it wasn't the big bang, it was, let's go and nail it for particular users. And that's what we're doing now because it's multi model, there's a bunch of different use cases, but even then we're focusing on these core things that are really hard to do with other relational only environments. Yeah, I >>can see why you're still because you know, you haven't been well, you and I have talked about the api economy for forever and then you've been in the storage world so long. You know what a nightmare is to move data. We gotta, we gotta jump. But I want to ask you, I want to be clear on this. So you are your cloud cloud Native talked to frank's Lukman maybe a year ago and I asked him about on prem and he's like, no, we're never doing the halfway house. We are cloud all the >>way. I think >>you're, I think you have a similar answer. What what's your plan on Hybrid? >>Okay. We get, there's nothing about technology, we can't go on, but we are 100 cloud native or only in the public cloud. We believe that's a trend line. Everyone agrees with us, we're sticking there. That's for the opportunity. And if you can run analytics, There's nothing better than getting to the public cloud like Amazon and he was actually, that were 100 cloud native. Uh, we love S three and what would be a better place to put this is put the next three and we just let you light it up and then I guess if I'm gonna add the commercial and buy it through amazon marketplace, which we love that business model with amazon. It's >>great. Ed thanks so much for coming back in the cube and participating in the startup showcase. Love having you and best of luck. Really exciting. >>Hey, thanks again, appreciate it. >>All right, thank you for watching everybody. This is Dave Volonte for the cube. Keep it right there.

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hi I'm Stu man a man and welcome to this special cube conversation over helping cover the second generation of the VMware cloud on Dell EMC happy to welcome to the program Rick fillers who's the vice president of data center and cloud with IDC not too far from me physically even though of course in today's day and age we're all practicing social distance so Rick great to see you thanks so much we've done it well thanks Stu pleasure to be here looking forward to a great conversation all right so Rick you know usually this time of year you and I see other more than we their families because we are traveling a circuit going to the analyst invent like and one of the topics we spent a lot of time talking about over the years is of course cloud you know VMware's partnership with Amazon is of course one that the entire industry but notice of and the relationship of Amazon VMware and Dell is an interesting one what we're talking about today though is the VMware cloud or in the shorthand VM see on LEM see and it's the second generation of this product help us understand kind of where this fits in the categorization and the research that you and an IDC look at yes - it's an interesting question it's one that we've actually been thinking about for several years now and it had to do with some early conversations we were having back then with companies about their private cloud environment they'd been deploying those for the last four or five years we were seeing them up on a sort of refresh cycle and when he started asking about how satisfied they'd been with those and where they wanted to use them and we got back some very consistent feedback saying that they'd had some problems with their first generation of their private cloud environment and nothing needed to address those and one of them was a consistency problem is that you know every private cloud they built whether they build it themselves or they looked at a hosted private cloud provider even in their own company we're different different technologies different and figure different sets of tools and that was a big problem for them the second big problem they'd run into was basically every time there's a new technology or an upgrade or fix we basically can't adopt it quickly we can't use it till the next refresh cycle so we're always behind we're playing catch-up and and neither one of those things really aligned with what they felt cloud should be and what they've been seeing in their public cloud environment and so when we looked at that and we started looking at the feedback about was combiner we realized that we were about to see a new generation of private cloud environment but we said but this will be different not just because of new technology but it'll be actually different use cases and a different approach and the first thing is we said it's first of all these are it's not so much a private cloud is that they dedicated cloud it's it's I have resources that are dedicated to a business or a service an application I want to get done and and I want to basically operate that just like all those other cloud and then the second thing is is they said and by the way this is less and less about a general-purpose new data center and we just run my data center same way it's I want this to be a platform for creating new services that I want to deliver in a location a factory a hospital you know a city block whatever that is and and so we brought those together and we started looking at those and saying well this is really going to lead to the emergence of a whole new product class which we've started calling local cloud as a service because it reflected both of those things is like it is no longer assembling piece parts but it was consuming these resources and as a service method with all the benefits of agility and responsiveness and and continued enhancement that come with that but it was also about I need to be able to put these in new location not just in my corporate data center but out where I'm trying to do new businesses and services in and that's what led us to start talking about this in this new product category called local cloud as a service and then we started seeing solutions that came out on the market that fit very much with this idea okay yeah Rick really interesting because you're right you know private cloud is a conversation we've been having in the industry for about a dozen years and one of the biggest challenges is you talk to 100 customers and you get a hundred and fifty definitions of what a private cloud is so if I hear you right local cloud is in some ways it's an extension of what we see in the public cloud so you know I think back it used to be hey can I get this same stack in both place we saw companies like you know IBM and Oracle and even VMware dang you know how can I match what you have in your data center there as opposed to you know as your stack AWS outposts we're saying hey we're actually gonna give you the you know the same you know same hardware you know same software and as a service as you said yeah you talked about also some of those new locations so you know without getting into too much depth so it sounds like and I looked a little bit of research there there is the data center piece and then really emerging there's the potential for edge use cases do I see that right is just just like you know we've got kind of the hyper scalars we've the data center edge is pulling on everything so you're saying edge doesn't kill the cloud and everything before it it's gonna just be another op in oh absolutely I mean trust this is it's more of an extension of the cloud environment and by that we also said one of the other critical things in this is it's it changes you if you think about new applications that you're trying to create whether it's in the public cloud or whether one of these local cloud environments they're being built on a cloud native architecture and that's one of the other key elements of this solution is these become the platforms that allow enterprises to bring things like containers and service designs and this sort of you know DevOps driven application development model into both the corporate data centers which absolutely this these solutions like but also again to extend it out to places where in the past you didn't have a lot of IT didn't have a lot of compute and storage but now if you're trying to do things like real-time monitoring for you know in the world we're living in today Oh an airport you know can I use machine vision to track the health of the going through the airport I need to deliver a cloud service essentially at that Airport I have latency issues I have availability issues I can't do it from a data center you know sitting out halfway across the country it has to be at the airport but I need to be able to basically have a reliable consistent cloud environment but now I can put in ten airports or a hundred so it's that combination of location but consistency everywhere I put it that's part of what this this new stories about and and I think that's the other big part of the messenger excellent Rick so one of the things I for we get into the numbers and talk specifically about the VMware solution how do customers get from where they are who these type of solutions you know one of the discussions around private cloud is could I upgrade what I have moved to these environment I think about many of the solutions that are extending public clouds it it doesn't necessarily mesh into what I have today so it did how do we get from you know the environments that I have today you know and how do these local cloud as a services fit in yeah so this is this is actually one of the interesting use cases for this is one way you can use this is to deploy this in your corporate data set where you but yet it's creating that public cloud environment you can do a lift and shift and leverage this as a way to MA I guess you would say now it's shift and lift because now you can bring it into this local fly as a service platform and still run it locally get those kind of things tested and by weight and as you decide which functions you may want to move offload to a public cloud or add dr you can use this platform to do that but I think there's there's more to it than that the the other part of of what we talk about here is is and I think it's something that that needs to be addressed as something that helps people do this faster is these new systems while very modern very consistent there is a great value they like many of the more modern merged systems that are coming on the market have very different power profiles very different network requirements then what's in a lot of corporate data centers and that's one thing we've seen again and again when we've talked to people about deploying these is the technology's great the solutions great but you know I have to make sure I've got the right power and I've opened up the firewalls and all those things one thing that I found interesting is we're starting to see companies say one way to remove that friction is you know there if there's a colocation facility near the customer site that has great power has great network connectivity you know I can use that place to now deliver this service in days instead of weeks because it's concentrated there you know it's a pure environment yeah and I think that's one thing that's also helping with this shift is people can leverage those facilities in that activity to basically make this migration a lot easier for companies when they want to when they want to transform their environment yeah really important points there Rick absolutely we you know we've been telling companies for years you need to understand what you're good at and what you're not and you know pouring concrete and managing power and bullying there's a handful of companies that are excellent at that most of the rest of you companies you suck at it so therefore if you can leverage other people that you can do that so when you say local it does not need to mean a piece of real estate that I own it could be you know that that spectrum of boosting or the environment yeah all right let's get to the numbers Rick so we're gonna pull up a light here with some of your research you know for years we've been talking about you know the private cloud category is huge compared to a public cloud because well public cloud is growing huge numbers compared to traditional IT it is small so let's take a look at the slides and talk us through what we're looking at here yeah so this is the thing part of it when we were talking about this forecast and we again we're looking at product like you know the VMware cloud on Dell you see and the alternative solutions out there is is for part of the use case which we've talked about whereas this is a the next-generation of the corporation private cloud with better connectivity and better consistency in some ways that's the easy activity but what you're doing is as we've said is I'm translate I'm transferring from a upfront capital expenditure to a 3-4 year subscription and so when we look at this and we started thinking about the forecast and what we're saying is what I've done is I've moved from you know an upfront spend in one year to spreading it out over three years and from a forecast standpoint that means in the early years while you may be deploying and lot of companies are gonna be leveraging these in their in their private cloud and their data centers the revenue stream to the provider in this case VMware and WMC or the group we're talking about today streams over three years so the forecasts can look really big or grows very fast but that's because that subscription revenue keeps growing and growing so today when we looked at you know comment some of the solutions that have been out there you brought up earlier you know the Rackspace and others as early versions of this but you know it's still relatively new these types of solutions of only on the market after six months seven month so 2020 even without Cove it wasn't going to be some huge year one thing we see actually is that these types of solutions are even more attractive in the world we're living in because they give you that promise of rapid deployment in scale but absolutely by 2022 you know that accumulated revenue stream that subscription scream both for enterprise and for a growing number of edge use cases we're talking you know revenues up and around the five seven billion dollar range and that only accelerates one thing that's not really showing in here yet but it's also part of this local conversation is is the 5g build-out and the extension and use of these local clouds in connection with the 5g environment and that's part of this edge use case too so so absolutely if you want to see you know total revenue streams here over you know in 2022 as we talked about here just under five billion dollars going from you know a half a billion dollars this year but even the biggest growth and the biggest expansion is after that and why we think this is is the value why why people are willing to pay for this is because of that value of consistency continuous enhancements and a platform for innovation that's what makes this all come together and why we think this is gonna be such a big and important market in the coming years yeah absolutely and you know has an impact on your job rake instead of counting on is in the growth there you're now talking to Wall Street about you know oh well Dell might have shipped X number of boxes but they can't recognize it over this period of time so let's talk about the customers though how it is a solution like this you know what do you see it affecting their adoption of what they're doing with their overall you know I mean this is the case specifically for VMware cloud on Delhi see is you know without a doubt as we all know that VMware and and is is a critical part of most corporations IT environments today many of their applications are there they've invested great amounts of resources and expertise and understanding how to operate and drive those environments and and one thing this does is again it gives them that ability to leverage those investments and the things they've done there for application design and that's the recovery and and and sort of the app mule management of their IT environment but now again use it in this as a service way so it's definitely one of the big benefits we see is it helps people make that transition removing the friction of that modernization for a lot of companies if they want to move to a cloud environment that's step one I think that's value one I would say and point out you know VMware also now is being very you know focused on making sure that it's also a strong platform for these next-generation cloud native development environment and that's been added to these platforms and we'll absolutely expect to see this and all the VMware cloud solution so that's another great part of this is there again preserving that ability for their customers who both do better with their existing environment and also have a platform for going forward with these new systems you know for us the big thing is is a continual focus by VMware and Dell as partners to make sure that it can scale its ability to operate these environment one of the things they're making a commitment to to their customers we are going to make these continuously available available on very good short notice and that they continually improve and that's gonna take a lot of back-end investment because really VMware has to now centrally manage not one hundred or a thousand potentially tens of thousands of system for many customers around the world that's the real next big step here we see is when you can add that fleet management ability so the company has the ability to say I can now deploy some great new service in one place a hundred places a thousand places while still being secure while still offering my end users you know the availability and the latency that they want that's a very powerful thing that companies are gonna be able to offer in the coming years all right well Rick fillers really important items they're really glad you brought up you know about the modern application about their data of course you know the immersed partner Dell has a strong legacy in data you know something shiny sees track you know the explosive growth of that or you know more than a decade now so thanks a lot and I think you capture that perfectly the data control part of this is is critical all right lots more from the VMware cloud on Dell EMC I'm Stu minimun and thank you for watch the queue [Music]

>>live from Las Vegas. It's the Q covering AWS executive. Something brought to you by extension. >>Welcome back, everyone to the cubes. Live coverage of the ex Center Executive Summit here at AWS reinvent I'm your host, Rebecca Knight. I'm joined by Marum Best Aerobic. He is the managing director Global Cloud and Infrastructure Attic Center. Thank you so much for coming on the show again. We met last year. So you're a Cuba Lem. >>Yes, I am. >>So we're talking today about moving a $43 billion company to the Cloud X Century. This is X Center as its own as its own use cases. But Accenture has been engaged in a major move to the public Cloud moving a company of the size and heft of ex center. Must have been intimidating. How did you even sort of wrap your brain around the challenges? Walk? Walk us through this. >>So you know, the tough part about working at Accenture is you have 480,000 people that work for Accenture or at least 1/2 a 1,000,000 let's say, and those half a 1,000,000 people all think they can do the job better and differently than you do, right. So the first challenge is our own our own organization. But I would tell you I say that, you know, just in a joking way. They're very supportive. It was. We're telling our clients the cloud is the future. So when we told our organization we're going to the cloud, it was massive support. It was what's taking so long? Let's do this. And now, granted, this was over a little over four years ago when we started the journey. So the cloud providers in the world was very different. So today we run, you know, tens of thousands of workloads on Amazon. We run all kinds of the capability to do cloud native. We do platform service's. We consume so much cloud service that, in my opinion, we're never going back to a data center. Never. >>So what Ex center is really well known as a big advocate of the public cloud? First of all, why? Why the public club? Well, the public cloud is >>the future. I really think when you think about how especially somebody like Amazon, if you listen to Andy Jassy this morning, right, it's they are innovating at a scale and a pace that that's just truly exceptional, and it gives us opportunity to take those things and implement them to change the way we run our business. So the weak and implement a lot of these capabilities toe help enable our business and then through that, by enabling our business be a credential for not only ourselves but to our clients to say, Hey, we do this to ourselves and way can help you do it as well. >>We're walking the walk >>or totally walking the walk and we push very hard on that angle because for us, it's very important for me personally to say, you know, I started my career client service. So I know serving our clients is one of the key things for us in our business. So I want to be able to solve these things, these air hard things itself so we can solve them faster for our clients ourselves. It makes it easier for them on their journey, >>and you also understand the pain points and the challenges A CZ you said your employees, your workforce was very supportive of it, but that's not always the case. >>No, it's not. It's not in But I'll tell you, our own teams in the early days they struggled with this. To be honest, right? It was a It was a change because we were heavily, heavily virtualized. We were great at running our infrastructure. We were doing all those things. Those are the things you did back then. So then when we said the team's Hey, we're going to the cloud They said, Well, we're not so sure. Do we really think we're going to save money? And in the early days we said We're doing this because this is the right thing to do But in the end, we actually did save a lot of money going to the cloud because we learn toe work differently and I think that's one of the key messages I would convey back is you are not going to work in the cloud the same way you work in a data center. You are going to shut things off. When you don't use them, you're going to have an opportunity to optimize them. You will have an opportunity to spend new capabilities up sooner, used them for what you need and faster and then you know things you can't do in a data center. You can't spend up. You can't use Dynamo. You can't use lambda. You can't. You can't use these. Micro service is in the data center, but in a cloud you can. So now you leave yourself in a situation where you have so much capability you can turn on to enable In enterprise is just mind boggling and exciting and exciting. >>So the time table t make this transformation was ambitious, to say the least. How aggressive did you need to beating? This is a journey. You said you started a little over four years ago. >>Yeah, it took the entire program for us. Took us about three years. But the real aggressive part of the journey was we said, you know, we can't We're dabbling a little bit in it. So let's just say our starting point was around 9%. You know, one of the big things we said is, how do we get the 50% in one year? And it was like, Okay, how do we do that? So we put a program in place and we got the team organized, and we did, you know, kind of like what Andy Jesse was talking about today at the keynote. We set some top down goals. We said to the teams were going to do this. This is the future. We're not kidding. We're going to do it. We have full support and we work with the business. And we explain what it was what was going to be. And you know what? One of the first things we took the public cloud, like three months into this program, was accenture dot com. I mean, we literally three months into the program, took our market facing capability of what our clients look at. People look at to think about us. They moved into the public cloud. >>We've described as a very disciplined approach and also one that was led from the top brass. So how talk a little bit about how the transformation started? >>Yes. So the transformation was really I will tell you, in the early days it was a function of we're going to start to take thes workloads and move them to the cloud. How do you do that? We made a decision to say, Let's take this. Let's take it a data center approach perspective. We're going to shut down an actual data center one at a time. And that's how we do migrations now. A lot of clients think about it from a different perspective. From our point of view, it made the most sense of Shut down the data center and get out of that location because then you're not maintaining all these things twice the fastest you can do it. The better way to do it is to do that. So that's kind of how we approach that. We said all the workloads in the data center go now. We took on our North American workloads first because we didn't make it easy for ourselves, right, because that's where all of our production work clothes where it wasn't just the test environments. It wasn't just a, you know, development environment. It was the real deal, everything it takes to run and support Accenture And we said we're gonna move those first. And so from a transformation perspective, that was our key. And then the other one is we had this. We had this notion of cloud first and cloud only. So any new capability also, we said here on out the minute we started the program. We said no more data center. We are anything you need now is going to be provisioned in the cloud. >>And what about digitally native applications? Yes. So when you think >>about like, um, a clown native capability. So now you start to get into another. You're into cloud, You go. Oh, man, what else can I do? And then So our previous CEO announced to the world extension was no wonder going to do performance reviews. And we're like, Okay, this is great. What we gonna >>do >>about this? And we need it implemented in three or four months. So when our HR business team came to work with us, one of the things we said is, Hey, this >>is the >>time because at that point we were about six or seven months into the program of Cloud. We said, Well, you can't spend up of'em. You're gonna go into the cloud. So we built a capability to does performance achievement for 405 100,000 people globally that runs it with Lambda and Dynamo. And it's been there for a little over now, four years, believe it or not. >>Amazing. So we talk about other challenges that you face because I mean, the way you're describing it, It sounds as though it people were supportive and you had a lot of winds along the way. But of course, there there were. I'm sure there were some dark days to weigh, had some >>growing pains. I think you know, when you think about it a lot of times because a lot of work loads we did pick up. We did a lot of lifting shift. Um, and I hate that term because what we learned as we went is we could actually lift, configure and run for less. So I don't know if there's an industry term for I haven't coined one yet. If somebody here is one that they want to share with us, I'd love to hear it. But lift and shift itself is a bad. It's a misnomer because that's not how you do this right. You have to touch a little bit of something. But what happened is in the early days we weren't quite sure how to size these environments, so when we would pick them up and we would say, Well, let's let's let's kind of give it some more capability. Let's let's throw some more CPU at it. But what we learned very quickly was that costs a lot of money. And we started applying some tools that would love, help us see what the utilization needed to be. And then we learned very quickly that Oh, you know what this environment that used to exist in the data center? Well, that's >>kind of >>on a couple of generations ago. CPU a couple of generations ago, memory a couple of generations ago storage because all the stuff in the cloud is all newer, all new or CPU on your memory. So then very quickly it's not even a like for like it's a like for less. So we figured out very quickly that we can actually take a workload. Let's say they had eight CPU use and we can run in the cloud with two. And so, But it was. It was. It was growing pains through that process that we learned to say, How do we do it then? Frankly, I think a lot of times we talked about this with our clients who is how do you get the team along the way? Because it's it's and When we set the edict, the team realized they had to go do this stuff. But, you know, we thought we'd have a little bit of resistance. What we found instead was a team very eager to learn and very eager to be part of this program and part of this capability. Because they see it. They saw that it was this new stuff that we were doing. So a little bit of the early growing pains around who's gonna work on what? How do we How do we focus our training? You know, how do we get these teams to help us really drive some of this capability and as we started, enabled them or that helped us get momentum. And I think the other one is just when you start to get all these workloads and how do you actually manage this stuff? How do you manage this capability? And for us? You know, we spent a lot of time with our eccentric cloud platform friends because we needed a capability to said, How do I actually manage all this building? How do I discover all the capabilities that are out there? How do I track my compliance How do I make sure all these things are aligned to my security? Construct that in, You know, info SEC is asking us to drive. So we need to do all do all those things that we didn't have it perfect in the beginning and we learned along the way. >>So talk about some of the other benefits you've described cutting some costs. And you've also described this new mindset that so many of your employees have adopted a rials learning minds, a growth mindset, one of embracing innovation. What are some other of the benefits that you've seen? >>You know, the benefits that are to me today is just this art of the possible is just mind bogglingly so much more open to whatever you want to do. It's almost scary how much is out there. You actually have to kind of pull back a little bit and say, How do I apply some guardrails around us? And I think when I think about the other benefits are we have more capability now than ever to spin workloads up. I'll give an example, like on Amazon spot instances are one of the things that they offer. We spend up 700,000 spot instances a year to do work along the way. And it's unfathomable to even think about doing some of those things in the data center. So the flexibility that you get if you want to test the release sometimes some of these big systems you might have to bring in hardware to test that in the data center. But in the cloud I >>don't have >>to buy hardware. I could just spend up more excuse. So it's just the benefits of flexibility, the agility, the speed that not waiting on and also, I think, the other one that I think sometimes gets overlooked as Excuse me. Sometimes that gets overlooked as I don't have a capacity management team that's worried about the capacity in the data center. I don't have AH team managing the vendor. Providing the data center service is right. It's all these things. You start to turn off that you didn't know that you don't need in a cloud anymore because they're managing those things. So even even if you're some, I think some clients get lost and waiting too long to do this. But there's all these other costs around there that you're spending money on anyway, you may not realize is you think about this business case, so I think the benefits are just tremendously there. But you really have to look at it holistically. >>So this morning, on the main stage we heard Andy Jassy describes a dizzying number of new products and service is that eight of the U. S. Is coming out with How how are you thinking about those and integrating them into what you're doing at Accenture with this initiative? And what's the energy that you're taking away from? I mean, he's certainly a very dynamic leader. >>Well, the energy the energy is great at this event. Every single year, the amount of innovation that comes out, it's fantastic. I think one of the great things that came out today is this concept of we're gonna take the hyper visor. We're actually gonna move it into a chip set to help you give you more processing power on the computer. I think on the server is huge. That's a huge capability. Lets us think about how do we manage things differently? I think some of this, uh, you know, uh, capabilities run enterprise, search enterprise, search is very hard, very difficult, right? This ml capability that, you know, it's very appealing. What am I gonna do with that? How do I help my organization think about search differently? That's very appealing. And I think the other one that's you know, there are a lot of other ones around the ML and the Data Lake stuff and everything else, but I think some of these things that get overlooked sometimes the pure review with ML was awesome, right? It's like, How do I help? How do I help them? Has the machine helped me do a code peer review with my people? So those were just, you know, real quick things that come to mind. But it's just great to see all this innovation, and it becomes available so quickly, right? So you've got you have an opportunity to get into these things very fast. >>So as you look back on this journey, this transformation, what are you most proud of? And what are you most excited about in the future? I'm most >>proud of the bold bets. Not only that, we all individually took, but the team's I'm so proud of our team in taking the journey onto trusting us, tow working and pushing and learning themselves to really take this on and it's it's it's just this magical. It's like it's a compound ing thing that just infested everybody else writes. Everybody's been excited about the cloud and how do we do it? How do we do this stuff? I think you know. And then from a future perspective, I'm really interested in MAWR in As the capabilities evolve and they get announced, I think the benefit we have is as we're there. It's easy for us to see some of these things. I think the container landscape is going to be huge. All the kubernetes stack and everything else that's that's out there. We need to think about. How does that help me continue to evolve? The service's I provide either more custom cost, effectively arm or efficiently back to the business and turn on more capability faster and try stuff faster and turn it off faster. And that's the great part of the cloud, right? You get the try stuff, you get to play >>with it, >>and if you don't like it, you turn it off. You don't have to wait three years for this equipment toe. Appreciate you move on with life. And that, to me, is exciting because there's just so much innovation that's coming. There's so much opportunity for us to really just jump out there and, uh, have fun. >>Excellent old Merrin. Best aerobic. Thank you so much for coming on. The cubic pleasure talking to you too. I'm Rebecca. Night. Stay tuned for more of the cubes. Coverage of the ex center Executive Summit coming up tomorrow. We'll see you here right now. Early.

>> from Santa Clara in the heart of Silicon Valley. It's the Q covering the Churchills 2019 brought to you by Silicon Angle Media. >> Hey, welcome back, everybody. Jefe Rick here with the Cube. We're in Santa Clara, California At the Churchills. It's the ninth annual kind of awards banquet at the Church O Club. It's on, and the theme this year is all about leadership. And we're excited to have not one of the winners, but one of the newest board members of the church, Oh, club. And someone is going to be interviewing some of the winners at a very many time. Cuba LEM Ray Wong, You know, from Constellation Research of founder, chief analyst >> and also >> a new board member for the Churchill Club Brigade, is >> also being back here. I love this event. There's one my favorite ones. You get to see all the cool interviews, >> right? So you're interviewing Grandstand from Pallet on for the life changer award. >> Yeah, so this is really incredible. I mean, this company has pretty much converge right. We're talking, It's media, It's sports, It's fitness. It's like social at the same time. And it's completely changed. So many people they've got more writers than soul cycle. Can you believe that? >> Yeah. I like to ride my bike outside, so I'm just not part of this whole thing. But I guess I guess on those bikes you can write anywhere >> you can write anywhere, anywhere with anyone. But it's not that. It's the classes, right? You basically hop on. You see the classes. People are actually pumping you up there. Okay, Go, go, go. You can see all the other riders are in the space. It's kind >> of >> addictive. Let's let's shift gears. Talk about leadership more generally, because things were a little rough right here in the Valley right now. And people are taking some hits and black eyes. You talk to a lot of leaders. She go to a tonic, shows you got more shows. A. We go to talk to a lot of CEOs when you kind of take a step back about what makes a good leader, what doesn't make a good leader? What are some of the things that jump into your head? >> You know, we really think about a dynamic leadership model. It's something conceit on my Twitter handle. It's basically the fact that you got a balance. All these different traits. Leaders have to perform in different ways in different situation. Something like Oh, wow, that's a general. They've done a great job commanding leadership. Other times we had individuals, a wonderful, empathetic leader, right? There's a balance between those types of traits that have to happen, and they curve like seven different dimensions and each of these dimensions. It's like sometimes you're gonna have to be more empathetic. Sometimes you got to be more realistic. Sometimes you're going to be harder. And I think right now we have this challenge because there's a certain style that's being imposed on all the leaders that might not be correct >> theater thing. The hypothesis for you to think about is, you know, when a lot of these people start the Silicon Valley companies the classic. It's not like they went to P and G and work their way up through the ranks. You know, they started a company, it was cool. And suddenly boom. You know, they get hundreds of millions of dollars, the I po and now you've got platforms that are impacting geopolitical things all over the world. They didn't necessarily sign up for that. That's not necessarily what they wanted to do, and they might not be qualified. So, you know, Is it? Is it fair to expect the leader of a tech company that just built some cool app that suddenly grew into, ah, ubiquitous platform over the world that many, many types of people are using for good and bad to suddenly be responsible? That's really interesting situation for these people. >> Well, that's what we talked about the need for responsive and responsible leadership. Those are two different types of traits. Look, the founding individual might not be the right person to do that, but they can surround themselves with team members that can do that. That could make sure that they're being responsive or responsible, depending on what's required for each of those traits. You know, great examples like that Black Mirror episode where you see the guru of, like, some slasher meet a guy. Some guys like Colin is like, you know, he wants to make sure that you know someone's paying attention to him. Well, the thing is like a lot of times, at least folks are surrounded by people that don't have that empathetic You might not have had what a founder is looking at, or it could be the flip side. The founder might not be empathetic. They're just gung ho, right, ready to build out the next set of features and capabilities that they wanted to d'oh! And they need that empathy that's around there. So I think we're going to start to see that mix and blend. But it's hard, right? I mean, going through a start up as a CEO and founder is very, very different than coming in through the corporate ranks. There's a >> very good running a company, you know. It's funny again. You go to a lot of shows. We get a lot of shows, a lot of key, knows a lot of CEO keynotes, and it's just interesting. Some people just seem to have that It factor one that jumps off the top is Dobie. You know, some people just seemed >> like the have it >> where they can get people to follow, and it's it's really weird. We just said John W. Thompson, on talking about Sathya changing the culture at Microsoft, with hundreds and hundreds of thousands of employees distributed all over the world. What a creative and amazing job to be able to turn that ship. >> Oh, it is. I mean, I can turn on the charm and just, like, get your view Lee excited about something just like that, right? And it's also about making sure you bring in the input and make people feel that they're inclusive. But you gotta make decisions at some point, too. Sometimes you have to make the tough choices. You cut out products, you cut out certain types of policies, or sometimes you gotta be much more responsive to customers. Right? Might look like you're eating crow. But you know what? At the inn today, cos they're really built around customers or state Kohler's stay close air bigger today than just shareholders. >> Right. Last question. Churchill Club. How'd you get involved? What makes you excited to jump on board? >> You know, this is like an institution for the valley, right? This is you know, if you think about like the top interviews, right? If you think about the top conversations, the interesting moments in the Valley, they've all happened here. And it's really about making sure that you know, the people that I know the people that you know there's an opportunity to re create that for the next set of generations. I remember coming here when it's like I go back, I think give Hey, just I don't hear anybody in 96 right? And just thinking like, Hey, what were the cool activities? What were the interesting conversations and the church? The club was definitely one of those, and it's time to give back. >> Very good. All right, well, congrats on that on that new assignment. And good luck with the interview tonight. Hey, thanks a lot. All right. He's Ray. I'm Jeff. You wanted the Cube with that? Churchill's in Santa Clara, California. Thanks for watching. We'll see you next time.

>> from our studios in the heart of Silicon Valley, Palo ALTO, California It is a cute conversation. >> Hello and welcome to this Special Cube conversation here in Palo Alto, California Cubes Studios Jon for your host of the Q. We retreat embodies the founder and CEO of H 20 dot ay, ay, Cuba Lem hot. Start up right in the action of all the machine learning artificial intelligence with the democratization, the role of data in the future, it's all happening with the cloud 2.0, Dev Ops 2.0, great to see you, The test. But the company What's going on, you guys air smoking hot? Congratulations. You got the right formally here with a I explain what's going on. It started about seven >> years ago on Dottie. I was was just a new fad that arrived into Silicon Valley. Today we have thousands of companies in the eye and we're very excited to be partners in making more companies becoming I first. And our region here is to democratize the eye and we've made simple are open source made it easy for people to start adapting data signs and machine learning and different functions inside their large and said the large organizations and apply that for different use cases across financial service is insurance healthcare. >> We leapfrog in 2016 and build our first closer. It's chronic traveler >> C I. We made it on GPS using the latest hardware software innovations Open source. I has funded the rice off automatic machine learning, which >> further reduces the need for >> extraordinary talent to build machine learning. >> No one has time >> today and then we're trying to really bring that automatic mission learning a very significant crunch. Time free, I so people can consuming. I better. >> You know, this is one of the things I love about the current state of the market right now. Entrepreneur Mark, as well as start of some growing companies Go public is that there's a new breed of entrepreneurship going on around large scale, standing up infrastructure, shortening the time it takes to do something like provisioning like the old eyes. I get a phD and we're seeing this in data science. I mean, you don't have to be a python coder. This democratisation is not just a tagline. It's actually the reality is of a business opportunity of whoever can provide the infrastructure and the systems four people to do. It is an opportunity. You guys were doing that. This is a real dynamic. This isn't a new way, a new kind of dynamic in the industry. The three real character >> sticks on ability to adopt. Hey, Iris Oneness Data >> is a team, a team sport, which means that you gotta bring different dimensions within your organization to be able to take advantage of data and the I and, um, you've got to bring in your domain. Scientists work closely with your data. Scientists were closely with your data. Engineers produce applications that can be deployed and then get your design on top of it. That can convince users are our strategist to make those decisions. That delays is showing up, so that takes a multi dimensional workforce to work closely together. So the rial problem, an adoption of the AI today is not just technology, it's also culture. And so we're kind of bringing those aspects together and form of products. One of our products, for example, explainable. Aye, aye. It's helping the data. Scientists tell a story that businesses can understand. Why is the model deciding? I need to take discretion. This'll direction. Why's this moral? Giving this particular nurse a high credit score? Even though she is, she has a very she doesn't have a high school graduation. That kind of figuring out those Democratic democratization goes all the way down there. It's wise, a mortal deciding what's deciding and explaining and breaking that down into English, which which building trust is a huge aspect in a >> well. I want to get to the the talent in the time and the trust equation on the next talk track, but I want to get the hard news out there. You guys are have some news driverless a eyes, your one of your core things. What's the hard Explain the news. What's the big news? >> The big news has Bean, that is, the money ball from business and money Ball, as it has been played out, has been. The experts >> were left out of the >> field and all garden is taking over and there is no participation between experts, the domain scientists and the data scientists and what we're bringing with the new product in travel see eyes, an ability for companies to take away I and become a I companies themselves. The rial air races not between the Googles and the Amazons and Microsoft's and other guy companies, software companies. The relay race is in the word pickles. And how can a company, which is a bank or an insurance giant or a health care company take a I platforms and become, take the data, monetize the data and become a I companies themselves? >> You know, that's a really profound state. I would agree with 100% on that. I think we saw that early on in the big data world round Doop doop kind of died by the wayside. But day Volonte and we keep on team have observed and they actually predicted that the most value was gonna come from practitioners, not the vendors, because they're the ones who have the data. And you mentioned verticals. This is another interesting point. I want to get more explanation from you on Is that APS are driven by data data needs domain specific information. So you can't just say I have data. Therefore, magic happens. It's really at the edge of the domain speak or the domain feature of the application. This is where the data is this kind of supports your idea that the eyes with the company's not that are using it, not the suppliers of the technology. >> Our vision has always being hosted by maker customer service for right to be focused on the customer, and through that we actually made customer one of the product managers inside the company. And the way that the doors that opened from working where it closed with some of our leading customers was that we need to get them to participate and take a eyes, algorithms and platforms that can tune automatically. The algorithms and the right hyper parameter organizations, right features and amend the right data sets that they have. There's a whole data lake around there on their data architecture today, which data sets them and not using in my current problem solving. That's a reasonable problem in looking at that combination of these Berries. Pieces have been automated in travel a, C I. A. And the new version that we're not bringing to market is able to allow them to create their own recipes, bring your own transformers and make that automatic fit for their particular race. Do you think about this as a rebuilt all the components of a race car. They're gonna take it and apply for that particular race to win. >> So that's where driverless comes in its travels in the sense of you don't really need a full operator. It kind of operates on its own. >> In some sense, it's driver less, which is in some there taking the data scientists giving them a power tool that historically before automatic machine learning your valises in the umbrella automatic machine learning they would find tune learning the nuances off the data and the problem, the problem at hand, what they're optimizing for and the right tweaks in the algorithm. So they have to understand how deep the streets are gonna be home, any layers off, off deep learning they need what particular variation and deploying. They should put in a natural language processing what context they need to the long term, short term memory. All these pieces, they have to learn themselves. And they were only a few Grand masters are big data scientist in the world who could come up with the right answer for different problems. >> So you're spreading the love of a I around. So you simplifying that you get the big brains to work on it and democratization. People can then participate in. The machines also can learn both humans and machines between >> our open source and the very maker centric culture we've been able to attract on the world's top data scientists, physicists and compiler engineers to bring in a form factor that businesses can use. And today it one data scientist in a company like Franklin Templeton can operate at the level of 10 or hundreds of them and then bring the best in data science in a form factor that they can plug in and play. >> I was having a cautious We can't Libby, who works with being our platform team. We have all this data with the Cube, and we were just talking. Wait higher data science and a eye specialist and you go out and look around. You get Google and Amazon all these big players, spending between 3 to $4,000,000 per machine learning engineer, and that might be someone under the age of 30. And with no experience or so the talent war is huge. I mean the cost to just hire these guys. We can't hire these people. It's a >> global war. >> There's no there's a talent shortage in China. There's talent shortage in India. There stand shortage in Europe and we have officers in in Europe and in India. The talent shortage in Toronto and Ottawa writes it is. It's a global shortage off physicists and mathematicians and data scientists. So that's where our tools can help. And we see that you see travelers say I as a wave you can drive to New York or you can fly to me >> off. I started my son the other days taking computer science classes in school. I'm like, Well, you know, the machine learning at a eyes kind like dog training. You have dog training. You train that dog to do some tricks that some tricks. Well, if you're a coder, you want to train the machines. This is the machine training. This is data science is what a. I possibilities that machines have to be taught. Something is a base in foot. Machines just aren't self learning on their own. So as you look at the science of a I, this becomes the question on the talent gap. Can the talent get be closed by machines and you got the time you want speed low, latent, see and trust. All these things are hard to do. All three. Balancing all three is extremely difficult. What's your thoughts on those three variables? >> So that's where we brought a I to help the day >> I travel A. C. I's concept that bringing a I to simplify it's an export system to do a I better so you can actually give it to the hands of a new data scientists so you can perform it the power off a Dead ones data centers if you're not disempowering. The data sent that he is a scientist, the park's still foreign data scientist, because he cannot be stopped with the confusion matrix, false positives, false negatives. That's something a data scientists can understand. What you're talking about featured engineering. That's something a data scientists understand. And what travelers say is really doing is helping him may like do that rapidly and automated on the latest hardware. That's what the time is coming into GPS that PTSD pews different form off clouds at cheaper, faster, cheaper and easier. That's the democratization aspect, but it's really targeted. Data Scientist to Prevent Excrement Letter in Science data sciences is a search for truth, but it's a lot of extra minutes to get the truth and law. If you can make the cost of excrement really simple, cheaper on dhe prevent over fitting. That's a common problem in our science. Prevent by us accidental bites that you introduced because the data is last right, trying to kind of prevent the common pitfalls and doing data science leakage. Usually your signal leaks. And how do you prevent those common those pieces? That's kind of weird, revolutionize coming at it. But if you put that in the box, what that really unlocks is imagination. The real hard problems in the world are still the same. >> Aye aye for creative people, for instance. They want infrastructure. They don't wanna have to be an expert. They wanted that value. That's the consumer ization, >> is really the co founder for someone who's highly imaginative and his courage right? And you don't have to look for founders to look for courage and imagination that a lot of intra preneurs in large companies were trying to bring change to that organization. >> You know, we always say that it's intellectual property game's changing from you know I got the protocol. This is locked and patented. Two. You could have a workflow innovation change. One little tweak of a process with data and powerful. Aye, aye, that's the new magic I P equation. It's in the workforce, in the applications, new opportunities. Do you agree with that? >> Absolutely. That the leapfrog from here is businesses will come up with new business processes that we looked at. Business process optimization and globalization can help there. But a I, as you rightfully said earlier, is training computers, not just programming them. Their schooling most of computers that can now with data, think almost at the same level as a go player. Right there was leading Go player. You can think at the same level off an expert in that space. And if that's happening now, I can transform. My business can run 24 by seven at the rate at which I can assembled machines and feed a data data creation becomes making new data becomes the real value that hey, I can >> h 20 today I announcing driverless Aye, aye. Part of their flagship problem product around recipes and democratization. Ay, ay, congratulations. Final point take a minute to explain for the folks just the product, how they buy it. What's it made of? What's the commitment? How did they engage with you >> guys? It's an annual license recruit. License this software license people condone load on our website, get a three week trial, try it on their own retrial. Pretrial recipes are open source, but 100 recipes built by then Masters have been made open source and they could be plugged and tried and taken. Customers, of course, don't have to make their software open source. They can take this, make it theirs. And our region here is to make every company in the eye company. And and that means that they have to embrace it. I learn it. Ticket. Participate some off. The leading conservation companies are giving it back so you can access in the open source. But the real vision here is to build that community off. A practitioners inside large formulations were here or teams air global. And we're here to support that transformation off some of the largest customers. >> So my problem of hiring an aye aye person You could help you solve that right today. Okay, So it was watching. Please get their stuff and come get a job opening here. That's the goal. But that's that's the dream. That is the dream. And we we want to be should one day. I have watched >> you over the last 10 years. You've been an entrepreneur. The fierce passion. We want the eye to be a partner so you can take your message to wider audience and build monetization or on the data you have created. Businesses are the largest after the big data warlords we have on data. Privacy is gonna come eventually. But I think I did. Businesses are the second largest owners of data. They just don't know how to monetize it. Unlock value from it. I will have >> Well, you know, we love day that we want to be data driven. We want to go faster. I love the driverless vision travel. Say I h 20 dot ay, ay here in the Cuban John for it. Breaking news here in Silicon Valley from that start of h 20 dot ay, ay, thanks for watching. Thank you.

>> Live from San Diego, California It's the queue covering Sisqo live US 2019 Tio by Cisco and its ecosystem. Barker's >> Welcome Back Here in the San Diego Convention Center. I'm student in my co host, David Dante, and you're watching the Cube, the leader in worldwide Tech coverage, and its Sisqo Live 2019 happening. Welcome back to the program. One of our Cuba, Lem's Russ Curie, who is the vice president Enterprise strategy at Net Scout. It's great to see you. Thanks for joining you guys. Thanks for having me. Alright, we always say, we got a bunch of Massachusetts guys that had to fly all the way across the country to talk to each other really well. So a couple hours for the beast hip, all everybody excited. But a lot of excitement here in the definite zone specifically and Sisqo live overall, 28,000 intended you've been to a lot of customer meetings, gives a little insight. What's been your take away from the show so >> far? I think that there's a lot of energy towards the multi cloud called Deployments in general Security. The whole introduction of Umbrella has got a lot of conversation started. It's amazing the amount of cos you see out there talking about just visibility in general, and that's being one of them as well. So it's been a lot of fun. >> Good show this year, Russ. I've been looking for this conversation. We heard from Chuck Robbins in the keynote. He said The network sees a lot of things, and Cisco says they're going to give customers that visibility. Of course, that ties in a lot, too. What Net scouted love, you know, give us. You know, your thoughts on Multi Cloud. How Cisco doing in the space? And how does Net Scout fit into that whole picture? >> Well, I think that one of things as Chuck talks about that, it's the cloud is the one thing, or the network is the one thing that's common for all. Coming along the devices right? I have. If I go into a different cloud, I have one set a performance metrics I might be able to gather about. You look at what device or an operating system. It's all different. But all the communications on the network T C P I. P is common. That really provides that thread that you're able to provide that level of visibility. So it really becomes one of those things that the network is a unique place to gain perspective on both the performance in the security that we're delivering to our customers. So can >> you just summarize the problem that Net Scout solves for our audience? Sure, I think that primarily it's one of these situations where I've been my own prime environment. It was pretty easy. I had access to everything. I could see what was going on. Quite readily. I started introduced visual ization and now traffic start to move much more East West and became a problem for folks. I think can Cisco recently said 85% of the traffic there seeing on the network is East West traffic, right? And then we moved to the cloud, and it's even more obvious gay that I can't see anything in new ways of network traffic. There typically live in clover and desert starting to address that, but really being able to gain that level of visibility so you can understand exactly what's happening just gaining that perspective. So let's explain it. >> I'm going to stay with the East West north seven metaphor. Why is it easier to get visibility in a column? >> Then? It is a row, I think, because in a column is everything exploding north and self. So you've got everything right there, and usually you have a place where you can look into it. But when you're flat, it starts to become really different you're looking at. But advice is talking to know the devices that don't necessarily have to traverse any part of the network it. Khun, stay within. Ah, hi provides, for example, so providing solutions lawyer game visibility into that environment is really important and the protocols that we use their change a bit so traditional tools don't necessarily fit well. So what's the general solution to >> solving that problem? And then I want to understand the Net Scouts secret sauce. But let's stop. Let's start of high level. How does the industry solved that problem? So the industry >> has been trying to solve that problem mostly by looking at the goodwill of third parties, looking at things like net blower, log events and aggregating that normalizing it. You've had solution sets that looked at network traffic, but it becomes very difficult for a lot of folks to make use of that network traffic, and what we've done is really provide the ability to look into that network. Traffic and gain gather from really anywhere it's deployed whether it's public loud, private cloud, our solution said, That's our secret sauce. Our solution. Second go anyway. >> So so add some color to that in terms of your able to inspect deeper through what just magic software you got. You got a pro you send in so >> well. Actually, we have a device. It's called a SNG, and in the virtual world we use something that we call be stream. In the physical world, we have some that we call in Finnish Stream N. G. And that leverage is a technology that we've developed, called Sai, which is adaptive service intelligence and well, also do is watch all that traffic and build meta data in real time so we can surface key indicators of performance and security events. Get that information up into a collection mechanism that doesn't have to normalize that data. It just looks at it as is way. Build it into a service Contact services context laws uses to see across a multi cloud environment in a single pane of glass. Okay, so one of >> the biggest challenges for customers is that they're changing these environment. It's what happens. Their applications, you know, applications used to be rather self contained. Even the bm They might have moved some, but now we're talking about, you know, micro services, architecture, multi cloud environment. There's there's a lot going on there, you know? What's the impact on that for your world, >> Right? That's been exactly it. Weigh three tier application was kind of pretty straight forward, even though at the point we started introducing, we thought that was a really tough stuff. Now what we're doing, as you say, it's doing micro services architectures, and I might take my presentation layer and put out in the cloud and the public cloud in particular. So I'm closer to the UN user and delivering better high performance capabilities to them lower lately, Auntie and the like and I take my application server and I split that up all over the place, and I might put some in public. Claude. I might put some in private club. I maintain some of it in the legacy. So all that interconnection, all that independency is really, really hard to get your hands around and that complexity. We looked at the street study that said 94% of the 600 respondents said that the the networks are as complex or more complex than they have been two years ago. >> Yeah, that's not surprising, unfortunately to hear that, but you know, when we talk to customers out there, it used to be, you know, the network is something You set it up. You turned all your knobs and then don't breathe on this thing because I've got a just where I want today. It can't be like that. You know, I I we know that it's very dynamic has changed. The message from Cisco has been We need to simplify things and, you know, obviously everybody wants that. But how do you make sure you ensure that application, performance and security, without having the poor admit, have to constantly, you know, be getting tickets in dealing with things >> I think are Solution really provides a common framework for visibility, and that's really what I think is really important. When you're starting to infer based upon different data sets, it becomes very difficult to put your finger on the problem and identified. That's really a problem. And it's trying to blend the organization. Let's sit this concept of the versatile list and trying to make sure that people are more capable in addressing problems in kind of a multi dimensional role that they have now in particular network and security. The organizations, they're trying to come together, God, they rely on different data sense, and that's where it kind of falls apart. If you have a common day to say, you're going to have a better perspective, Okay, >> I was just a front from that application standpoint. How much of this is just giving notification to invisibility? Intuit vs, you know? Is it giving recommendations or even taking actions along those lines? >> Yeah, I think it has. It has to give you recommendations and has to give you pinpoints. You really? You've got to be able to say there here's a problem. This is what you need to do to fix it right? I think what often when I'm talking to folks, I say it's about getting the right information to the right person at the right time to do the right thing If you're able to do that, you're going to be much more effective. Yes. OK, so you've got this early warning system, essentially, hopefully not a tulip. But that's what practitioners want. Tell me something. Tell me. Give me a a gap and tell me the action to take before something goes wrong. Ideally. And so you could do that. You could give them visibility on it, Kind of pinpoint it. And do you see the day, Russ, where you can use machine intelligence toe as Stuart suggesting start to maybe suggest remedial action or even take remedial action? Oh, absolutely. I mean, there are some things that you can really do and do quite well. Walking for security events, for example, is the primary one. We've always had the ideas in place in the early days, a lot of folks who are cautious because they wanted to have a negative impact on the business. But when we take a look at ex filtration and blocking outbound connections, if you know the bad actors and you know the bad addresses, you can stop that before it gets out of your network. So people aren't gonna have that X illustration of your information. >> All right. So, Russ, you've been meeting with a bunch of customers here at the show, What's top of mind for them And if some of the conversation I've been having this week, you know, security, you know, has been climbing that that list for many years now. But in your world, what are some of the top issues? >> Yeah, security, definitely. There's no question. I think it's one of those environments where you can almost never have enough. There is always hungry more and more and better and more accurate solutions. I I think I saw something recently. There was a top 125 security solutions that's like top 120 times really way. Doyle The Town 25 Exactly. And I think I D. C's taxonomy has 73 sub categories to the security. So security is, you know, more than a $500 word. You know, it might be a $5,000 word. It's crazy and same with club, right, because it's not like, you know, in fact, I was talking to someone recently, and it's with the club village Go. It's not a club village. A more This is everything we're doing is the cloud. So it's change in mindset. So it's It's interesting as a cloud universe. So what's next for Net Scout, you know, give us a little road map? What Khun observers expect coming from you guys more significant, pushing the security in particular. One of things we see is that our data set really has the ability to be leverage for both security and performance work. Load sport floats were integrating the products that we bought with the Harbour acquisition we bought over networks. And they have a highly curated threat intelligence feed that we're going to bring in and add to our infinite streams and have the ability to detect problems deep inside the network. You know, it's one of these things the bad actors kind of live off the land. They get in there and they know their way around slowly and methodically and drought dribble information. No. Well, the only way to catch that is like continually monitoring the network. So having that perspective so continuing to grow that out and provide again more of that, eh? I aml approach to understanding and be more predictive when we see things and be able to surf. It's that type of information. Security already used to be activists. And now it's become, you know, high crime even. Yeah, even, you know, nation states, right. And the job of ah of a security technology company is to raise the cost, lower the value right to the hacker, right to the infiltrator so that they go somewhere else. All right. Hey, make it really expensive for them. So either get through. But we ve what's like you get through, make it really hard for them to take stuff out. And that's really what you're doing. >> It was like you made sure to lock the front door now because it stopped them. But, you know, maybe I'll go somewhere else, right? It's a little bit >> different. Preventing you wanna minimize your risk, right? So if you're able to minimize the risk from performance and security problems, it's really all about understanding what you've got, what your assets are protecting them. And then when that someone's trying to look at them stopping it from happening, >> OK, last question I have for you, Russ, is being in this Cisco ecosystem out there. We're watching Cisco go through a transformation become more and more software company now, four years into the Chuckle Robin's era. So you know, how's that going in? What's it mean to partner Francisco today? >> It's going really well, and I think that we adopted a lot of way or adopted a lot of what the Sisko has done as well and really transform Nets go from what was primarily a hardware first company into a software first company. You know, it's kind of I was in a conference once and we were talking about software eating the world, right and but ultimately, its hardware. That's doing the chewing right. So I think it's one of those balancing acts. You know, it's Cisco's still of selling a ton of hardware, but it's a software solution sets so they deploy on their hardware. That makes it happen. And it's similar for us. You know, we're building out software solutions that really address the issues that people have building all these complex environments. All right, >> Russ Curie, congratulations on all the progress there and look forward to keeping up with how Netscape's moving forward in this multi cloud world. Thank you. All right, we'll be back with lots more coverage here from Cisco Live, San Diego for David Dante Obst Amendment. Lisa Martin's also here. Thanks, as always, for watching the Cube.

>> live from Anaheim, California. It's the queue covering nutanix dot next twenty nineteen Brought to you by nutanix. >> Hello, everyone. You are watching the Cube and we are live at nutanix dot Next here in Anaheim. I'm your host, Rebecca Night, along with my co host, John Farrier. We're joined by Michael Bushong. He is the vice president Enterprise marketing at Juniper Networks. Thank you so much for returning to the Cube, Your Cuba Lem. >> So thank you for this is this is awesome and you can't see it on the cameras. But this is a, like, just amazing. >> It's very We are in the clouds up here. It's a very high stage. Everything's coming full circle. >> Jim Cramer. Ask a little bit >> serious. Okay. >> Of course. I'm going to ask the tough questions >> going on. He's going to start slamming everything very soon, >> But we've known each other for a long time, Jennifer Going back ten years ago. So look, a tangle started. We're in our tenth year. You know, if you've seen the journey, I am a juniper. You left juniper startup brocade, then back to juniper. So you've seen that circle? You've seen the couple waves? I mean one of the things we were talking about before we came on camera was saw. Network fabrics to Dover had Juno's and then be anywhere. But you know, So this arrow, which became the ESPN Wave, are now suffer to find data center. So you've been in that journey is a product person. And now marking juniper, it's actually goes back about a decade. This whole esti n stuff networking. So what's What's the role now that you're doing? What's juniper doing? Why Nutanix? What's your story year? >> Sure. So I run enterprise marketing at Juniper, so my goal is effectively toe to make some of the hype makes sense, right? It goes back a decade. Actually, the early days of the only ESPN movement we didn't call it s tiene right. Juniper started with open flow and PC and alto and all these acronyms, and we actually, we're a great engineering company. Maybe not so great marketing company. And we actually call it network program ability. That didn't take off. But the technology's kind of endured. And I think what we saw was this lengthy incubation period to the point that now, as we sit here dot next in twenty nineteen. We're starting to see now some of the attraction of the last couple of years. That's a junipers general position. So we wantto dr Adoption. Certainly there's products and technology that underpins that, but But fundamentally, we're looking at a huge operational shift. And if that operational shift doesn't happen, then that's to the detriment of everyone in the industry. >> What's the relationship with NUTANIX? Can you talk about how you guys work together? What's the connection? >> Sure. So nutanix obviously does the whole hyper converge space. We provide the networking components to that. So whether that's the top Iraq connectivity, how do you get your traffic into the rest of the network? We've done some security stuff which we can talk more about. And then, if you look at the overall management piece, we've got integrations at the management policy layer as well. >> So your relationship you both got a very similar world view. How you see technology, you're both taken on VM. Where to? Can you talk a little bit about the relationships there and and why it works? >> Sure, fundamentally, if you look at what Nutanix is trying to do, it's this whole idea of one click. It ties ing everything right. They talk a lot in their keynote sessions. You hear the executives talk, You look at their collateral, the messages they take, the customers. It's about making things simple. Junipers Strategy is this idea of engineering simplicity. So just a top level? What's our purpose? What's our role in this industry at large? I think we have a very common worldview. Of course, driving simplicity is going to happen in the context of real architectural change on the change That's kind of everywhere is cloud and increasingly multi cloud. And so both Nutanix and Juniper about really driving simplicity in the context of Cloud multi cloud, giving customers the opportunity, toe run workloads wherever they need Teo without taking on additional operational burden. That's kind of cesarean unwanted in enterprises networking. >> So the Big Tran, this multi cloud you guys. That's a key part of the strategy. Dave along tonight and Stew Minutemen were arguing on the cute couple events ago. There are not one of our sessions about the hype around multi cloud. The reality of it. The reality is, is that everyone kind of has multiple clouds. It's not like that the clouds aren't talking to each other, and then we're just kind of riffing on the cloud is just big. One big distributed network, different computing, distributed networks. These air knew these aren't new paradigms. These are existing things that have computer science behind them. Engineering behind it. So juniper, you have been around for a long time. Connecting networks. The cloud is like some of the same concert on premise Hybrid Cloud and multiplied it basically a distributed network. It's all cloud operations. We get that, but the technology issue is not that hard, but I won't say that that hard, but it's similar to what you guys have done in the past. Just differently. How are you guys looking at that? Because multiple clouds, just like Internet working the switches routers, you move from packet that point A and point B get storage. His store stuff So concepts are all the same. How do you guys seeing the multi cloud opportunity within juniper? >> So I would make the distinction between multiple clouds and multi cloud? I agree with you. If you look at most enterprises, they have a workload in Amazon. They're using sales force, and so you know, they're multi cloud, right? They have multiple clouds, multi clouds, more of an operational condition. It's about taking disparate pools of resource is and managing. That is one thing. So think of it more about how you do stuff and less about where you host an application. If you look it even like describing Amazon, some people say, Well, Amazon is just, you know, Cloud is just using other people servers. It's not. You're not renting their servers. What you're leveraging is their operations. That's the transformation. That's this kind of underfoot. And so while some of the technology bits are common, the ability to do abstracted control moving to declare it over intent based management, right, these air right technology building blocks. What you're seeing now is the operational models are coming along, and that's really that's the change we have to drive on. I'll just kind of close with when you change technology. If it's just about deploying a piece of software, if it's just about deploying a piece of hardware like candidly, that challenge isn't that it's not that hard, right? We know how to deploy stuff when you start talking about changing how people fundamentally do their jobs. When you started talking about changing, you know how businesses operate. That's that's the piece that takes some time and I would venture. That's why you know, you look a decade ago why we're where we started. If you look at what's taking a decade, it's the operational change, not the technology piece >> and the cultural jobs movement. Certainly forcing function on that, which is awesome. And that's the tale when I think. And then again, Gene Came was on yesterday Who wrote The Devil's Handbook and also does that death. The Devil Enterprise. Someone said, We're three percent in. I would agree with him. I think it's so early, but But the challenge. I want to get your thoughts, Michael. And this is that Connecting multiple on disparity environments is great, but late in C kills now. So now late and see these air old school concepts, you know, get a time can't change the laws of physics. Right? So Leighton sees matters s l A's matter. So these air network challenges these air software challenges. What's your view on that piece of the puzzle? >> We leave when we say cloud, you know a lot of people probably think, um, you know, G C P Azure. They might think a WSB probably picture in your head, you know, some logically central cloud. First, we need to disavow people of the notion that cloud is this thing that somehow sits at the center of everything. It's not. There are centralized clouds. If you're optimizing for economics, that makes perfect sense. Tow To do that. There's distributed clouds. The whole rise of multi axis edge computing is about changing the paradigm from moving data to the application. Right. If your applications in Amazon and you're going to send your data there, that's one model Teo. Sometimes you might want to move the application to the data. If you have a lot of data like an i o t. Use case as an example, I was used oil platforms is a really good example. I don't know if you know, but you know how they get all their. They have all these mining and manufacturing bits. They've got lots of data. How did they get that data off the oil platforms? Snowball. So what they do is the helicopters come in, they take the drives off and they they they leave right. The reason they do that because if your reliance on satellite links just too much data, you can't statue >> is going to get a helicopter to ransom helicopter to come in, >> we'LL know when they're swapping the crew out every fourteen days, that's what happens. So here's the thing, right? If in that kind of model than the cloud, the data center exists on premises. And if that's the case, then when we think about you know kind of what the cloud is, cloud is, it's It's a lot. It's a lot more than what we most of us probably think about. Certainly, we see it with Outpost as a WS is starting to move on premises versions, and there's a lot of reasons you might wanna have a distributed cloud. Certainly it could be, you know, your comfort and security and control. There's real privacy implications, country of origin, so subpoenas can access your information depending on where it resides. >> What you're saying is, basically, it's all cloud. It's operational is the new definition. So you figured from an operational standpoint, Ops and Dev's That's it. The rest is just all connected somehow through the text, >> and then you need to have it. Yes. So we we understand the connectivity, bitch, you've gotta have the right, you know, elements. But if it's operational, it's about how do you do policy management? So part of the whole nutanix thing and kind of what drove us together was this idea that if I want a one click everything. If you could do that within the hyper converge space, you still have to do that over the connected environment, which means managing policy from a single location, regardless of where it is. And of course, using that policy to Dr Security >> and their strategy is to take what that worked for. The CIA and the data center move that into this new operator operating model, which spans multiple quote, disparity, environments or clouds or edges. It's similar similar concept, but different environmental. Yeah, >> that's exactly right. And so then what Nutanix needs that is a strong networking partner because they have tto do the bits that they do. They need other people to do the bits that that you know that we can do. We pull those things together and then you can provide essentially a secure environment for hybrid workload. >> So you guys embed it into their product? You guys joined cell together. Is it more of a partnership? How deep is the partnership with you With Nutanix >> s all just They'LL say yes, we get along s o and it kind of the most surface level you know, you need to have top Iraq switches. You gotta connect to the network and so we do qualification there. So if you deploy nutanix, you can deploy juniper alongside and that looks more like a kind of a co selling meat in the channel type model. Beyond that, if you look at how we provide security over like a workload environment, the question is, then you know what's the security element? So we've taken our virtual firewall. We cut our V s are axe, which essentially runs in the V M. And we can run it on a V, and so that gives them a segmentation strategies. So if you look it workloads that air distributed across the cluster by having a firewall element that we can enforce policy. Of course, that firewall element is then integrated with prism. So if I want to deploy these things when I spin up a new V M. What I want to do is spin up the security with it, and so you see management integration. Then if we continue this too, it's kind of full conclusion. We have, ah, product suite We call contrail in the enterprise version Contra Enterprise Multi Cloud, which is all about policy management and underlay management. And so, as we extend the partnership, it gives us additional opportunity to take um to provide routed elements which provide policy enforcement points and then to give us a way of managing policy over a diverse environment. >> And you guys can bring in that platform element for nutanix. Is there now a platform? They have a full stack of software on Lee. So you guys, you cannot take their stuff, put it there and vice versa. >> That's exactly right. So whether the workload resides in a ws on two or whether it resides kind of on premises in a jiffy, weaken one, we're kind of co managed and then to it gives us the security elements toe play across that >> one of the things that we're talking a lot about at this rinse it and at a lot of other events like it, it's sort of or the dark side of technology. We're at a time where major presidential candidates are talking about breaking up. Big tech were becoming much more aware of the privacy concerns. The biases that are built into algorithms. Exactly. I want to hear your thoughts as a technology veteran. Do you? Are you still a technology optimist or do you did? Does this stuff keep you up at night? I mean, how where do you fit your personal views? I was >> somewhat of a technology optimists, but I'm a skeptic when it comes to the people. I think if the technology existed in a vacuum, I think some of the problems go away. I think privacy is a major concern. I think it's going to shape regulatory action, especially in Europe. Well, so I think we'LL see similar actions in the US I don't have quite a strong connection to what's happening in Asia. Um, I think that the regulatory, the challenge I have from a technology perspective is that if the regulations come in the absence of understanding how the technology works, then you end up with some really terrifying outcomes on DSO I'm Sam. I'm a fan of the technology. I'm nervous of the people on that in terms of like, our overall Ruelas is cos here, I think, you know, we need to do a candidate a better job of, of making sure things land before we move on to the next big thing on DH. You know, we're talking cloud. We're ten years into cloud and people were always talking about the next frontier. To some extent, I think the world doesn't move as fast as we like to think it does. I don't think that the even like the mark, I'm in a marketing role. I don't think that the marketing hype necessary. I don't think it serves us by moving too far ahead because I will tell you when the gap between the promise and the reality becomes insurmountable e wide. I think it's Ah, I think I think everyone loses Andi. You run the risk of stranding an entire generation of people who who gets stuck behind it, and I don't you know, I'm nervous about about what that means, and I think it's you asked the question that you're the dark side. I think it's Certainly it plays out in our industry. I think it plays out. You know, there's a digital divide that's growing in the U. S. Based on broadband access. By the way, that's gonna widen with five G. I think it plays out between different nation states. So I Yeah, I don't know. I'm an optimist. Maybe I'm a pragmatist. >> Realist. >> Yeah, I'm I'm I'm I'm a little scared. >> Little cloud definitely happened, and that's a good point. And we took a lot of heat at looking ankle. Keep on the cube. Was too many Men in the team put out the first private cloud report People like this is nonsense. Well, well. And our thesis was clouds grade if you want. If you're in the cloud as a cloud native or, you know, new startup, why wouldn't you go on Amazon? Everyone, we did that. But if once you taste cloud operations, you go Wow. This is so much awesome. Right? Then go into a modern and enterprise. It's not going to be overnight. Change over. I mean, we might say it's going to take about a decade. We fell from the beginning that cloud operations once you taste cloud you realize this is a new operating model. There's a lot of benefits to that, but to change it over in the enterprise, and that turned out to be what everyone's now do it. But that was three years ago. >> Well, there's implications. So if its operations then operations is inherently an end end proposition, you can't have operations in a silo. Things like you're monitoring tools. How do you do cloud monitoring it on premises monitoring. How do you do workflow Execution? How do you do? You know, automation, whether that's event driven or even just scripted. If you have wildly different environments that require you to buy for Kate, your investment, then there's a very real There's a complexity that comes with that your people have tto do more than one thing that's that's hard. There's a cost that comes with that because you have different teams for different things. There's a lack of coordination. I don't think you unlock the value of cloud in that in that environment. And I think that operational pieces really around converging on >> Michael your point about people in technology. It's so right on. We see that all the time where I'm a technology Optimus. I love technology, but I totally agree that people can really destroy it looked fake news. It's just, you know, it's infrastructure network effect with bad content policy because Facebook's immediate company not a platform >> well, technology's only is good on our end are >> gonna run. The government don't even have the Internet work. So you know when you when you go to the cloud, same >> knowledge just also want the government to come away with that we do it >> where the government just doesn't know how the Internet works. Some people that do but like the good hearings, it's ridiculous. But you know, there's a real D o. D project going on future military Jet I contract. We've been reporting on where modern data driven application workloads. I could use a soul, cloud or multi class so that the dogma of what multi vendor was in the old days is changing. >> I don't I actually don't know if you look at multi cloud. If it's an end end proposition, then by definition it's also going to be multi vendor like there's no future where it's like end in all one vendor. I think we have to come to grips with that is an industry. But I think if you're clinging to your you know, kind of I want my single procurement vehicle. I want my single certification. By the way, I think if you believe fundamentally that incumbency is going to be that your path forward, I think it's a dangerous place to be. That's not to say that. I think the incumbents all go away. I don't There's a there's a heavy rule to play but certainly were going to open things up. And >> you see procurement modernized. I mean, I mean, government goes back to nineteen ninety five procurement standards, but either the enterprise procurement moving So the text moves so fast. Procurement still has rules from >> so no, I don't think all >> of the second right. >> Then there's a whole A procurement in our industry is driven by our peace. Our peace tend to be derivative. I take my last r p. I had some new lines. If you want Esti n so you take the cup copy and paste five hundred seventy four lines at the five hundred seventy fifth line. S T n. You're gonna end up in the same solution because the first five seventy four of the same I do think we should learn a little bit from what the big public cloud cos they're doing, which is, you know, tightening refreshed cycles, retiring things with as much passion as they introduced new things tightening up. Ultimately, what gets deployed? Maintaining diversity of underlying components so you could maintain economic leverage when you're doing procurement. But then solidifying on operationally streamlined model, That's I think that's the future. That's certainly what we've been on as a company. I think that's what we're betting on with Nutanix From a partnership point of view, I think we'LL be on the right side of change on that, and I think it's going to, you know, it may take some time to play out. That's where I think things go >> well. Michael Bushong. Always a pleasure having you on the Cube. Thank you for coming on. >> Thank you very much. >> I'm Rebecca Knight for John Furrier. You are watching the Cube

>> live from Boston, Massachusetts. It's the queue covering your red hat. Some twenty nineteen lots. You buy bread >> and good morning. Welcome to Beantown, Boston, Massachusetts to Mina Mons Hometown by the police Town of residents. John Wallis was stupid from here on the Q. Bert had summit and stew for you. Good to see you here. And a home game. >> Yeah, John, Thanks so much. Nice. You know, Boston, The Cube loves Boston. The B C E C is actually where the first cube event was way back in twenty ten. And we wish there were more conferences here in Boston. Gorgeous weather here in the spring. Ah, little chilly at night with the wind coming off the water, but really good. Here is the sixth year we've had the Cube here, right? Had some in my fifth year at the show. Great energy. And, you know, thirty four billion reasons why people are spending a lot of time keeping a close eye on. Let's just know. Yeah, >> jump right in thirty four billion dollar deal. I am red hatt gotta prove by doj uh, here in the States. But there's still some hurdles that they have to get over in order for that to come to fruition, Maybe later this year. That's the expectation. But just your thoughts right now about about that synergy about that opportunity that that we think is about to have. >> Yeah, so? So right, let's get this piece out of the way. Because here at the conference, we're talking about Red Hat. The acquisition has not completed. So while the CEO of IBM you know Jenny will be up on stage tonight along with, you know, Jim White Hirsi over at Hat and Sakina della, you know, flying in from Seattle, where you might get your name yesterday. So you know, at least two of those three your Cuba Lem's. So we'LL get Jenny on one of these days. But, you know, this is a big acquisition, the largest software acquisition ever, and third largest acquisition in tech history. Now we watched the first biggest tech acquisition in history, which was Del buying AMC just a couple of years ago. And this is not the normal. Okay? Hey, we announced it and you know, it closed quietly in a few months. So as you mentioned, DOJ approved it. There's a few more government agencies Europe needs to go through. You never know what China might ask to come in here, but, you know, really, at the core if you look at it, you know, IBM and Red Hat have worked together for decades. You know, we wrote a lot about this when the announcement happened. You know, IBM is no stranger to open source. IBM is no stranger to the clinics and the areas where Red Hat has been growing and expanded too. You see, IBM, they're so communities, you know, super hot space. If you look, you know, Red hat is they're they're open shift platform, which is what Red Hat does for cloud. Native Development has over a thousand customers. They're adding between one hundred one hundred fifty a quarter is what they talk about publicly. We're gonna have some of those customers on this week. So huge area. That multi cloud hybrid cloud world absolutely is where it's at. We did four days of broadcast from IBM. Think earlier this year in San Francisco. And, you know, once again, Jim white hairs and Jenny were on stage together. They're talking about where they've been working together for a long time. and just, you know, some things will change, but from IBM standpoint, they said, Look, you know, the day after this closes, you know, Red Hat doesn't go away. That had just announced new branding, and everybody's like, Well, why are they changing their branding? You know, when you know IBM is taking over and the answer was, Look, Red Hat's going to stay as a standalone entity. IBM says they're not going to have a single lay off, not even HR consolidation, at least in the beginning. We understand, you know, give me your stuff to work out some of these pieces, but there are ears. They will work together. I look at it. John is like the core. What is the biggest piece of IBM's business is services. That Army of services, both from IBM and all of their Esai partners and everybody they worked with Khun really supercharge and help scale some of the environment that red hats doing so really interesting. Expect them to talk a little bit about it. Red hat is way more transparent than your average company. They had an analyst event like a week or two after it happened, and I was really surprised how much they would tell us and that we could talk about publicly. As I said, just cause I've seen so many acquisitions happen, including some you know, mega ones in the past. And we know how little usually you talk about until it it's done and it's signed. And, you know, the bankers and lawyers have been paid all their fees. >> Let me ask you, you raise an interesting point. Um, you know that there are some different approaches, obviously, between IBM redhead, just in terms of their institutional legacies in terms of processes. Red hat. You mentioned very transparent organization. Open source. Right. So we're all about the rebrand. They come out, you know, the drop shadow, man, They got the hat. What's that cultural mix going to be like? Can they truly run independently? Yeah, they're a big piece. So And if your IBM can you let that run on its own? >> So, John, that is the question most of us have. So, you know, I've worked with Red Hat for coming up on twenty years now, you know, Remember when Lennox was just this mess of colonel dot organ. So much changes that red hat came and gave, you know, adult supervision to help move that forward on. The thing I I wrote about is what Red Hat is really, really good at. If you look at the core, there do is managing that chaos and change on the industry. If you look how many changes happen, toe Lennox, you know every you know, day, week, month and they package all that together and they test all that same thing in Kou Burnett is the same thing in so many different spaces where that open source world is just frenetic and changing. So they're really geared for today's industry. You talk what's the only constant in our industry? John is it is changed. IBM, on the other hand, is like, you know, over one hundred years old, and I tried and true, you know, Big Blue. You know, I ibm is this, you know, the big tanker, you know, it's not like they turn on a dime and you know, rapid pace of change. You think of IBM, you think of innovation. You think of, you know, trust. You think of all the innovations that have come out over the century. Plus do there and absolutely there is a little bit of impeded mismatch there and we'LL see So if ibm Khun truly let them do their own thing and not kind of merged suit groups and take over where the inertia of a larger group can slow things down I hope it will be successful But they're definitely our concerns And time will tell we'll see But you know analytics front You know, they just announced this morning Rehl eight Red hat enterprise linen, you know, just got announced and definitely something will be spent a lot of time So >> let's just jump in a relative Look again, We're gonna hear a little bit later on. We have several folks coming on board to talk aboutthe availability. Now what? What do you see from the outside? Looking at that. What is it going to allow you or us to do that? Seven Didn't know. Where did they improve? Is that on the automation side? Is it being maybe more attentive, Teo Hybrid environment or just What is it about? Really? That makes that special? >> Yes. So you know, first of all, you know these things take a while in the nice thing about being open sources. We've had transparency. If you wanted to know it was going to be in relate. You just look in the Colonel and and it's all out there. They've been working on this since twenty thirteen. Well, seven came out back in June of twenty fourteen. This has been a number of years in the mix. You know, security. The new, like crypto policy is a big piece that that's in their thie bullets that I got when I got the pre briefing on, It was, you know, faster and easier Deploy faster on boarding for non lennox users on, you know, seamless nondestructive migration from earlier versions of rail. So that's one of the things they really want to focus on is that it needs to be predictable, and I need to be able to move from one version the other. If you look at the cloud world, you know, when you don't go asking customers say, Hey, what version of Azure a ws are you running on your running on the latest and greatest? But if you look at traditional shrink wrap software, it was well, what virginity running? Well, I'm running in minus two and Why is that? Because I have to get it. I have to test it out. And then I, you know, find a time that I'm gonna roll that out, work it in my environment. So there is stability and understanding of the release cycle. My understanding is that they're going to do major releases every three years and minor releases every six months. So that cadence a little bit more like the cloud. And as I said, getting from one version a rail to the next should be easier and more non disruptive. Ah, a lot of people are going to want manage offerings where they don't really think about this. I have the latest version because that has not just the latest features but the latest security setting, which, of course, is a major piece of my infrastructure today to make sure that if there was some vulnerability released, I can't wait, You know, six or nine months for me to bake that in there. The limits community's always good have done a good job of getting fixes into it. But how fast can I roll that out into my environment is >> something I would assume that's that's a major factor in any consideration right now is is on the security front, because every day we hear about one more problem and these are just small little issues. These these air are could be multi billion dollar problems. But in terms of making products available today, how Muchmore important? How's that security shift? If you could put a percentage on it used to be, you know, axe and now it's X plus. I mean I mean, what kind of considerations are being given? >> You know what I'd say? Used to be that security got great lip service A. Said it was usually top of mind, but often towards bottom of budget. When you talk to administrators and you say, Oh, hey, where's your last security initiative? And that, like I've had that thing sitting on my desk for the last six months and I haven't had a chance to roll that out. I will get to it, but I want to again. If you go to that cloud operating model. If you talk about you know Dev, Ops movement is, I need to bake security into the process. If I'm doing C i D. It's not, I do something and then think about security afterwards. Security needs to be built in from the ground level. A CZ. You know, I I've heard people in the industry. Security is everyone's responsibility, and security must be baked in everywhere. So from the application all the way down to the chipset, we need to be thinking about security along the bar. Mind it is a board level discussion. Any user you talk too, you know, you don't say, Hey, where's the security sitting? Your priorities. You know, it's up there towards the top, if not vey top, because that's the thing that could put us out of business or, you know, definitely ruin careers. If if it doesn't go >> right, so there are there are probably a couple of platforms, every will or pillars. I think you like to call them that. You're looking forward to learning more about this week. I think in terms of red hats work one of those green hybrid cloud infrastructure, and we'LL get to the other to a little bit. But just your thoughts about how they're addressing that with the products that they offered the services they offer and where they're going in that >> Yeah, so look everything for red at start with rail. Everything is built on Lenox, and that's a good thing, because Lennox Endeavor is everywhere. If last year is that Microsoft ignite for the first time. And when you hear them talking a Microsoft talking about how Lennox is the majority of the environment, more than fifty percent of the environment are running linen goto a ws Same thing. All the cloud deployment Lennox is the preferred substrate underneath and Rehl doing very well to live in all those environment. So what we look at is, you know, some people say, is this olynyk show. It's like, well, at the core. Lin IX is the piece of it and relate the latest and greatest substantiation. But everywhere you go, there's going to be Lennox there from doing container ization. If a building on top of it with the the new cloud native models, it's there. And if you talk about how I get from my data center to a multi cloud environment, it's building things like Cooper Netease, which read that of course, uses open shift and you know those ties to eight of us and azure and you know, Google they're all there. So we mention Santina della's on stage tonight at Microsoft build. Yesterday there was announcement of this thing called Kita ke e d A, which has, like as your functions and ties in with open shift and spend a little time squinting it, trying to tease it apart. We've got some guests this week that'LL hopefully give some clarity, but it is. The answer is people today have multiple clouds and they have a lot of different ways they want. They want to do things, and Red has going to make sure that they help bridge the gap and simplify those environments across the board. Two years ago, when we were at the show big announcement about how open shift integrates with a W s so that if I'm using a ws But I want to have things in my environment still leverage some of those services. That was something that that Red had announced. I was, you know, quite impressed a time it was, you know, just last week being at the Del Show, it's V m. Where is the del strategy for how they get you know, A W, S, G, C, P and Azure and, you know, Red Hat does that themselves. Their software company. They live in all these cloud worlds, and therefore, open shift will help you extend from your data center through all of those public cloud environments on DH, you know? Yeah. So it's fascinating >> you've talked about Lennox to we're going to hear a little bit later on to about a fascinating the global economic study, that Red Hat Commission with the I. D. C. Of that talks about this ten trillion dollar impact of Lennox around the globe like to dive into that a little bit later on. >> Yeah, well, it's interesting, you know, it's the line I used is you say, and you say, Oh, well, how much impact is Lennox had? You know? You know, Red hats now, a three billion dollar company. That's good. But I was like, Okay, let's just take Google. You know, no slots of a company. Google underneath. It's not Red Hat Lennox, but Lennox is the foundation. I don't really think that Google could become the global search and advertising powerhouse they were. If it wasn't for Lennox to be able to help them get environment, there's a CZ we always talk with these technologies. You talk about Lennox, you talk about How do you talk about, you know, Cooper Netease? There are companies that will monetize it, but the real value is what business models and creation by. You know, all the enterprise is the service riders in the hyper scales that those technologies help enable. And that's where open source really shines is, you know, the order of magnitude network effect, that open source solutions have that its you say okay, three billion dollars? And is that what ten trillion dollars? It doesn't faze me, doesn't surprise me at all, but because my attention it look it. I'm not trying to trivialize. There's no But, you know, I've been watching clinics for twenty years, and I've seen the ripples of that effect. And if you dig down underneath your often finding it inside, >> I mentioned pillars that you were talking about cloud native development being another. But automation, let's just hit on that real quick before we head off on DH just again, with how that is being, I guess, highlighted. Or that's a central focus at and relate and and what automation? How that's playing in there I guess the new efficiencies they're trying to squeeze out. >> Yes. So? So what we always looked for it shows you're probably the last year is you know, you. How are they getting beyond the buzzwords? Aye, aye. When you talk about automation on area that that we've really enjoyed digging into is like robotic process automation. How do I take something that was manual? And maybe it was a fish injure? Not great. How can I make it perfectly efficient and use software robots to do that? So where are the places where I know that the amount of change and the scale and the growth that we have that I couldn't just put somebody to keyboard, you know, and have them typing or even a dashboard to be able to monitor and keep up with things? If I don't have the automation and intelligence in the system to manage things, I can't reach the scale and the growth that I need to. So where are you know, real solutions that are helping customers, you know, get over a little bit of the fear of Oh, my gosh, I'm losing a job. Or will this work or will this keep my business running and oh, my gosh, this will actually enabled me to be able to grow work on that security issue if I need to, rather than some of the other pieces and help really allow it agility to meet the requirements of what the business requires to help me move forward. So those are some of the things we kind of look across the shows. So, you know? Yeah. How much do we get? You know, buzzword, Bingo at the show. Where How much do we hear? You know, real customers with real solutions digging in and having, you know, new technologies that a couple of years ago would have had a saying, Wow, that's magic. >> But you say, Oh, my gosh. Yeah, and I don't want gosh right back with more. You're watching to serve the cube with the red had summit. We're in Boston, Massachusetts, that we'll be back with more coverage right after this

>> Live from San Francisco. It's the cube covering IBM thing twenty nineteen brought to you by IBM. >> Welcome back to the live coverage here in Mosconi North in San Francisco for IBM. Think this. The cubes coverage. I'm Jeffrey David. Launching a too great guest here. Carlos. Gavel, gavel. A chief date. Officer Clara, Columbia and Carlos. See? Good. Engage your manager. IBM data Science elite team a customer of IBM country around data science. Welcome to the Cube. Thanks for joining us. Thanks for having us. So we'll hear the street, the street to shut down a i N E. Where's the big theme? Multi cloud. But it's all about the data everywhere. People trying to put end to end solutions together to solve real business problems. Date is at the heart of all this moving date around from cloud to cloud using. Aye, aye. And technology get insights out of that. So take a minute to explain your situation, but you got to try to do. >> Okay. Okay, Perfect. Right now, we're working out a lot about the business thing because we need to use the machine learning models or all the artificial intelligence toe. Take best decisions for the company. Way. We're working with Carlo in a charming mother in order to know how how come with a boy the customers left the company Because for us it's very important to maintain our our customer toe. Now, how they're how are the cables is from them. There are two facility intelligences is next selling way to do it that way. Have a lot of challenge about that because, you know, we have a lot of data, different systems, that they're running the data way need to put all the information together to run them to run the mother's. The team that Carlo is leaving right now is helping to us a lot because we WeII know how to handle that. We know howto clean the data when you have to do the right governess for the data on the IBM iniquity is very compromised with us in there in order to do that safely. That is one of the union that is very close to us right now. She was working a lot with my team in order to run the models. You saying she was doing a lot of four. I mean, over fight on right now we are trained to do it in over the system, running this park on DH that is they? They Good way that we are. We are thinking that is going to get the gold for us way Need to maintain our customers. >> So years the largest telecommunications piece Claro in Mexico for boys and home services. Is that segments you guys are targeting? Yeah, Yeah. Scope. Size of how big is that? >> Clarisa? Largest company in Colombia For telecommunication. We have maybe fifty million customers in Colombia. More than fifty percent of the market marketer also way have many maybe two point five millions off forms in Colombia. That is more than fifty percent of the customers for from services on. Do you know that it's a big challenge for us because the competitors are all the time. Tryinto take our customers on DH the charm or they'll have toe. How's the boy that and how to I hope to do their artificial intelligence to do it much learning. It's a very good way to do that. >> So classic problem and telecommunications is Charon, right? So it's a date. A problem? Yeah, but So how did it all come about? So these guys came to you? >> Yeah. They help The game does. We got together. We talked about the problem and in turn was at the top right. These guys have a ton of data, so what we did is the team got together. We have really the way to data sensibly team works is we really helped clients in three areas. It's all about the right skills, the right people, the right tools and then the right process. So we put together a team. We put together some agile approaches on what we're going to do on DH. Then we'd get started by spinning up in environment. We took some data and we took there. And there's a lot of data is terabytes of data. We took their user data way, took their use users usage data, which is like how many text, cellphone and then bill on day that we pulled all that together and environment. Then the data scientists alongside what Carlos is team really worked on the problem, and they addressed it with, you know, machine learning, obviously target. In turn, they tried a variety of models, But actually, boost ended up being one of the better approaches on DH. They came up with a pretty good accuracy about nineties ninety two. Percent precision on the model. Predicting unpredictable turn. Yeah. >> So what did you do with that? That >> that that is a very good question because the company is preparing to handle that. I have a funny history. I said today to the business people. Okay, these customers are going to leave the company. Andi, I forget about that on DH. Two months later, I was asking Okay, what happened? They say, Okay, your model is very good. All the customers goes, >> Oh, my God, What >> this company with that they weren't working with a with information. That is the reason that we're thinking that the good ways to fame for on the right toe the left because twist them which is therefore, pulls the purposes toe Montana where our customers And in that case, we lose fifty thousand customers because we didn't do nothing Where we are close in the circle, we are taking care about that prescriptive boys could have tto do it on. OK, maybe that is her name. Voice problem. We need to correct them to fix the problem in orderto avoid that. But the fetus first parties toe predict toe. Get any score for the charm on Tau handled that with people obviously working. Also at the root cause analysis because way need to charm, way, need to fix from their road, >> Carla. So walk us through the scope of, like, just the project, because this is a concern we see in the industry a lot of data. How do I attack it? What's the scoop? You just come in and just into a data lake. How do you get to the value? These insights quickly because, honestly, they're starving for insights would take us through that quick process. >> Well, you know, every every problems with different. We helped hundreds of clients in different ways. But this pig a problem. It was a big data problem because we knew we had a lot of data. They had a new environment, but some of the data wasn't there. So what we did was way spun up a separate environment. We pulled some of the big data in there. We also pulled some of the other data together on DH. We started to do analysis on that kind of separately in the cloud, which is a little different, but we're working now to push that down into their Duke Data Lake, because not all the data is there, but some of the data is there, and we want to use some of that >> computer that almost to audit. Almost figure out what you want, what you want to pull in first, absolutely tie into the business on the business side. What would you guys like waiting for the answers? Or was that some of the on your side of process? How did it go down? >> I'm thinking about our business way. We're talking a little bit about about that about their detective tow hundred that I see before data within. That is a very good solution for that because we need infested toe, have us in orderto get the answers because finally we have a question we have question quite by. The customers are leaving us. Andi. What is data on the data handed in the good in a good way with governor? Dance with data cleaning with the rhyme orders toe. Do that on DH Right now, our concern is Business Section a business offer Because because the solution for the companies that way always, the new problems are coming from the data >> started ten years ago, you probably didn't have a new cluster to solve this problem. Data was maybe maybe isn't a data warehouse that maybe it wasn't And you probably weren't chief data officer back then. You know that roll kind of didn't exist, so a lot has changed in the last ten years. My question is, do you first of all be adjusting your comment on that? But do you see a point in which you could now take remedial action or maybe even automate some of that remedial action using machine intelligence and that data cloud or however else you do it to actually take action on behalf of the brand before humans who are without even human involvement foresee a day? >> Yeah. So just a comment on your thought about the times I've been doing technology for twenty something years, and data science is something has been around, but it's kind of evolved in software development. My thought is, uh, you know, we have these rolls of data scientists, but a lot of the feature engineering Data prep does require traditional people that were devious. And now Dave engineers and variety of skills come together, and that's what we try to do in every project. Just add that comment. A ce faras predicted ahead of time. Like, I think you're trying to say what data? Help me understand >> you. You know, you've got a ninety three percent accuracy. Okay, So I presume you take that, You give it to the business businesses, Okay? Let's maybe, you know, reach out to them, maybe do a little incentive or you know what kind of action in the machines take action on behalf of your brand? Do you foresee a day >> so that my thought is for Clara, Columbia and Carlos? But but obviously this is to me. Remain is the predictive models we build will obviously be deployed. And then it would interact with their digital mobile applications. So in real time, it'll react for the customers. And then obviously, you know, you want to make sure that claro and company trust that and it's making accurate predictions. And that's where a lot more, you know, we have to do some model validation and evaluation of that so they can begin to trust those predictions. I think is where >> I want to get your thoughts on this because you're doing a lot of learnings here. So can you guys each taking minutes playing the key Learnings from this As you go through the process? Certainly in the business side, there's a big imperative to do this. You want to have a business outcome that keeps the users there. But what did you learn? What was some of the learnings? You guys gone from the project? >> They the most important learning front from the company that wass teen in the data that that sound funny, but waiting in an alley, garbage in garbage, out on DH that wass very, very important for other was one of the things that we learn that we need to put cleaning date over the system. Also, the government's many people forget about the governments of the governments of the data on DH. Right now, we're working again with IBM in our government's >> so data quality problem? Yeah, they fight it and you report in to your CEO or the CEO. Seo, your spear of the CIA is OK. That >> is it. That's on another funny history, because because the company the company is right now, I am working for planning. This is saying they were working for planning for the company. >> Business planning? >> Yeah, for business planning. I was coming for an engineer engineering on DH. Right now, I'm working for a planning on trying to make money for the company, and you know that it's an engineer thinking how to get more money for the company I was talking about. So on some kind of analysis ticks, that is us Partial Analytics on I want you seeing that in engineer to know how the network handling how the quality of the network on right now using the same software this acknowledge, to know which is the better point to do sales is is a good combination finally and working. Ralph of planning on my boss, the planning the planet is working for the CEO and I heard about different organizations. Somebody's in Financial City owes in financial or the video for it is different. That depends from the company. Right now, I'm working for planning how to handle things, to make more money for the company, how to tow hundred children. And it is interesting because all the knowledge that I have engineering is perfect to do it >> Well, I would argue that's the job of a CDO is to figure out how to make money with data. Are saying money. Yeah. Absolute number one. Anyway, start there. >> Yeah, The thing we always talked about is really proving value. It starts with that use case. Identify where the real value is and then waken. You know, technology could come in the in the development work after that. So I agree with hundred percent. >> Carlos. Thanks for coming in. Largest telecommunication in Colombia. Great. Great customer reference. Carlo thinking men to explain real quick in a plug in for your data science elite team. What do you guys do? How do you engage? What? Some of the projects you work on Grey >> out. So we were a team of about one hundred data scientists worldwide. We work side by side with clients. In our job is to really understand the problem from end and help in all areas from skills, tools and technique. And we won't prototype in a three agile sprints. We use an agile methodology about six to eight weeks and we tied. It developed a really We call it a proof of value. It's it's not a M v P just yet or or poc But at the end of the day we prove out that we could get a model. We can do some prediction. We get a certain accuracy and it's gonna add value to the >> guys. Just >> It's not a freebie. It actually sorry. I'm sorry. It's not for paint service. It's a freebie is no cough you've got. But I don't like to use >> free way. Don't charge, but >> But it's something that clients could take advantage of if they're interesting problem and maybe eventually going to do some business. >> If you the largest telecommunication provider in the country, to get a freebie and then three keys, You guys dig in because its practitioners, real practitioners with the right skills, working on problems that way. Claro, >> Colombia's team. They were amazing. In Colombia. We had a really good time. Six to eight weeks working on it. You know, a problem on those guys. All loved it, too. They were. They were. Before they knew it. They were coding and python. And are they ready? Knew a lot of this stuff, but they're digging in with the team and became well together. >> This is the secret to modernization of digital transformation, Having sales process is getting co creating together. Absolutely. Guys do a great job, and I think this is a trend will see more of. Of course, the cubes bring you live coverage here in San Francisco at Mosconi. Nor That's where I said it is. They're shutting down the streets for IBM. Think twenty here in San Francisco, more cube coverage after the short break right back.

from Boston Massachusetts it's the cube covering wtg transform 2018 brought to you by Winslow technology group hi I'm Stu minimun and this is the second year of the cube at what is now wtg transform 2018 and happy to welcome to the program Scott Winslow who is the president and founder of winslet Technology Group Scott always great to see you good afternoon still happy to be with you hey and Scott thank you so much you you not only brought us back a second year we've got a nice table here but I'm not tripping over myself saying that it's the you know 14th anniversary Winslow technology group Dell EMC user conference and lovely Boston Massachusetts in the background it was like ha it's literally wtg transform rolls off the tongue so thank you you were the inspiration for us to you your comments last year precipitated to change our name III know your team just looked at it and felt sorry for me because it didn't roll off the tongue quite as easily as as the new it was a mouthful yeah so Scott you and I did we bump into each other a bunch we'd say we tend to go to many of the shows the Dell show the Nutanix show let's talk about your show first here you said it is the 14th year its users one of the reasons Idol of coming here besides getting to talk to you and Rick and some of your partner's is users I will speak to more users in one day here than I do it some of the big shows I go to yeah I mean it's it's a great opportunity to thank our existing customer base you know we have a fourfold purpose for this event we like to educate our customers we hope that they can pick up some knowledge and maybe an aha moment that they have with they're looking at a hyper-converged solutions or all-flash solutions we've got a new Dell client display here this year that we've never had in the past so we're looking to educate we love to give them an opportunity to collaborate with other practitioners to compare notes the feedback I get from them is they really enjoy that piece of it we want to have some fun and you know it's a tradition that we want to keep rolling and they're helping you know to make it very successful so it's been a great it's been a great venue for us and a great event for so over 14 years now and Scott you couldn't have ordered a better day I mean New England you know it might change in an hour but right now temperatures in the low 70s it's mostly clear you know gorgeous backdrop here as you mentioned in the you open you know Sox have their ace pitching tonight and there are still in first place so yeah it doesn't doesn't hurt well you know we're in the customer service business right so you have to think of everything temperature starting pitcher and you know we try to make sure we've got a good agenda and there's a lot of good information for them here there to get customers to come out and spend a day with you like this is why there's a great event has going to be so biggest because year after year after year I feel like we've delivered and then we have kind of a continuous improvement process and we try to improve it every year here we are Scott one talk about your business you know first time we met you know winslet technology was one of the it was it was the Dell Partner of the year so you know been a long time dell partner the dell you know acquisition merger with emc it's been interesting to watch i know you've got some viewpoints but before we get into kind of the dell piece of it talk about your business as you know because we call you a channel partner and they're you know what's driving your business how's growth going how are things up here in new england and Beyond because yeah you're much more than New England yeah I mean well we've certainly evolved our business over the years with acquisitions being a big part of that initially we started out as a compelling partner then Compellent was acquired by Dell and then you know five or six years later after that we've the Delhi you see consolidation so I think we've had to learn to be flexible and and one of the things we've seen with that is we just each time there was an acquisition it allowed us to increase the size of our portfolio with more solutions that we can offer our end-users more services that we can provide you know along the way we've added a lot of other solutions too like the Nutanix solution and the hyper-converged space so our business is going great we're you know the highest employee count we've ever had our revenues were as high as they've ever been last year we had a record q3 record q4 in q1 we grew our Dell business by over 30% that makes Dell very happy and makes us very happy as well so you know as as this whole industry evolves and you know the digital economy progresses there continue to be the need for the services that we provide all right so let's talk about Dallas you said you've come from the compelling piece the the delicacy which the Nutanix OEM is something that I know your team is you know very involved with you know how is Dell and LEM see how they do and for the channel these days I think they're doing very well I think they you know tell likes to save they big ears and they listen well I think that they have proven that they put together a very good channel a partner program under the leadership of John Byrne initially and now Joyce Mullen you know I think that they incent you to work with them they try to incent the salespeople and sent the companies but they also put together very good programs for you to run marketing events like this so an event like this we couldn't do it without the support of Dell technologies and they've been you know very supportive of us you know they're providing speakers like Dave singer you've got all kinds of subject matter experts here we've got lots of hardware and software for folks through you know demo so I think I think overall the partner programs been very good great in Nutanix is this a you you get it through the Dell so I'm curious has it has the move as Nutanix is shifting more to really that software model does that have any impact on on your business or are you isolated from that since you've been using the Dell xcs yeah well I mean first of all we've been involved in Nutanix for you know three plus years now right before Dell acquired EMC our hyper-converged solution was Nutanix we've built together you know a very nice base with customers many of whom you know are here today so as they evolve to a software model I do think they're going to be less concerned about what or where platform it goes on because they're truly creating all their revenues you know from the software side so they're very they're they don't care really what you know what hardware platform is being used so you know we feel like we've got the best two solutions in the hyper-converged marketplace between the portfolio of Dell solutions you know visa and VX rail vce and then Nutanix with the Nutanix solution typically with Nutanix we tend to put that on a Dell server platform that's where we lean we think Dells got the best server technology in the industry that's a nice way for us to bridge that gap between the two companies so a lot of times our customers are putting a new tannic solution on a dell platform you know key themes I heard your talk rick's talk david singers talk this morning and what i hear from customers digital transformation and hybrid cloud are those top of mine with your customers today absolutely yeah I think you know Rick alluded to it in his talk a lot of customers are coming to us saying hey help us with our cloud strategy and so we're going in and saying tell us about your applications you know these are applications that we think belong in the public cloud that makes sense and the public cloud and you know that could be disaster recovery could be backup it could be office 365 and these are other applications that we think might be more well suited for an on-premise solution so that could be active file transfer and so you know we think that leads naturally to a hybrid cloud discussion we've got a customer here today a financial customer from New Hampshire and their CIO called me I had known him previously at a famous sneaker company in town he went to a financial institution and he said hey we wanna we want to move everything to the cloud can you come up and consult with us on that and we ended up putting in a hybrid cloud for him you know featuring a hyper-converged solution that had the cloud integration that he needed so I think that's the kind of activity we're involved in today yeah you use the word conversation that and the customers I've talked to they like they they need advice and they want someone that's not just oh well here's the solution that you're going to buy it no no it's a conversation there's lots of decision points and as you build out that hybrid cloud yes it's going to be made of by definition multiple pieces it's not necessarily going to be one company that's going to do it all but you know your team helps them that journey absolutely I mean you can't go in with a cookie cutter approach at sea you know you've got two years in one mouth we tell other salespeople you got to use them in that portion so you really kind of listen to the customer as I said try to understand what their applications are you got to understand what their biases are if it's a Microsoft shop you know as your might be their choice for you know public cloud or they might be interested in AWS so you got to kind of work through those you know scenarios and then build out a solution that's gonna work for them we and we rely on our solutions architects Brian veenu runs our sa team and he's got a group of five essays that we think are very adept at you know putting those solutions together yeah Brian's actually not not far from I said here you've got the new hands-on lab is one of the new things that you added here and anything from that or from other things at the event that you won't want to highlight as we wrap yeah I think I mean the hands-on lab gives you know customers the opportunity to come in and play with kind of structured and scripted demos and I see a number of customers in there using that so I'll talk to our team after the event and find out how it went we always try to look for you know improvements along the way but you know there's opportunity in there to play with those demos in terms of storage in terms of hyper-converged in terms of Dell OpenManage essentials which is the software that manages your entire server farm so I think that's been a good addition I'd say the other addition is this year is we were planning it we said hey our people are really good we need to get our people up in front instead of relying so much on the OEM and they're great and they provide great resources but I know that our people have so much to offer as well particularly because you know we're out there you know you're putting solutions together for customers and I think that breadth and depth you know comes through so that's been a nice addition this year where it's not just been Rick out on myself but we've utilized a number of members on our team Ed Palmer is the moderator for a customer experience as an outcome session this afternoon that we're really excited about because at the end of the day is a solution provider that's our job is to produce results and outcomes for our customers that's how we're going to be judged that's how we want to be judged so I'm really excited about that session because we've got em privada and Boston Architectural College they're going to present up their respective deployments and they were different of hyper-converged technology so I think the voice of the customer we really want to make sure we're continue to bring that back to this event so well Scott always a pleasure to see you thanks so much for taking the cube back to this event and thank you for all the customers we get access to we always loved to talk to the customers by the way if you're looking to get a customer on the cube that's we were always looking for customers so we look at the events or we do have a Boston area studio and a lovely Palo Alto studio so reach out to the team be happy to talk mom's to minimun thanks so much for watching the Q

>> From Las Vegas. It's the cute covering knowledge sixteen Brought to you by service. Now carry your host David, Dante and Jeffrey. We're >> back. This is knowledge. Sixteen. This is the Q. We go out to the events. We extract the signal from the noise. This is day one of a three day Walter Wall coverage. The Cube has of knowledge. Sixteen Hashtag No. Sixteen like a lander is here. He's the CEO and vice chancellor of college services at Lone Star College. Longtime Cuba Lem like it's great to see again. >> Good scene again to >> another is >> great to catch up with this >> place, Another knowledge have a bigger and better than ever. You're you're speaking later on this afternoon. You've been over at the CIA event house this year going for you. You know, it's going >> great. The CIA oven, of course, is excellent lot of leadership foundations. Keynote TOC where, you know, service now is heading right now. Kind of. You know, that the shift and I always were still back to one of the themes from eons ago. Let's kill email. But the reality is emails not dead. So as we focus on it, you know, I came into this from the stance of moving the enterprise service management. So as I bring a team here, we really get the opportunity to see where we're at today in that comparison, and then how we can leverage the platform and move yourself forward >> So your role is evolving at Lone Star College, You said off camera, you're not giving up a title. A CIA, your CEO. >> Yes, I am the CEO >> and bread. That's not Teo, but your responsibilities are expanding. Talk about that side of things well, >> so well, last year actually been a year and a half. Now human resource is put underneath me. That's why the title change and all that to fit better and then analytics because, you know, analytics is not it much. People want us to think it should be buried inside of it. It never should, because it's about the business process. About the business service human resource is was just around the concept of aligning that service management what we had completed in it around service excellence. One of my right hand's basically put it as customer delight. Our focus is on customer no light. So it is about that communications piece. How do you talk to your customer? How do you move forward? How do you understand what their challenges are and help them find a solution. It may not be its instead of saying no, I can't do that for you. Sorry. You're out of luck. So in that, in that evolution, we've really moved ourselves forward on the enterprise service management platform side and early days, financial aid. We brought in student call centers. Now you've got human. Resource is were talking earlier about We're moving our legal in there. It's going to accelerate the pace it takes to get a contract illegal down TTO one day, maybe two days or some way didn't catch their approvals fast enough. So that's the big transformation from an organization >> of automated. That whole process over I actually, before going, I want to ask you questions about analytics. So you have. Ah, datas are that's working for you outside of it. Is that right or you? The days are >> well, you know, I actually have a team, >> have a data >> team s o. We're talking two different sets. Analytics too, because we're actually using service now. Analytics when it comes to the Service management analytics. Right. But for the organizational analytics, we actually have a large team that that does our analytics everything from dash boarding through, You know, in our case, core institutional reporting that's required. >> And is there a chief data officer as part of that team? >> I have a personal leading that group. >> De facto even >> factor. Yes. >> So there's a lot of discussion to about whether the CDO should report to the c. E. O. In this case, it does. But you had you had said things questions as to whether or not that Data Analytics function should be in it. It's not a night function. We kind of agree on that, but yes, but what kind of reports in to the head of, Well, >> you know, But see, when I when I sit down at that table, I sit down as the vice chancellor college services. So I have to sit down with three separate hats in front of me. Andi, I can't favor one over the other. Otherwise I wouldn't be doing my job currently. So when I look at the analytic side from a perspective, I will get on my team that provides the data, my database services and, you know, why are you not getting this done or what's happening here? So I've gotta look at it from all areas >> like Bill Belichick, GM coach way Tom Brady. You got to figure out who >> you are. At that point, I'm >> well. So is this how the role of the CEO is evolving? I mean, we've heard of this event previously. Frank's Lupin one year a couple years ago, said CEO should be a business person. Absolutely certainly seen examples of that. Now you're sort of given responsibility for you. No other services beyond just services. How was that role evolving? >> Well, rolls about for years. The question is, Is the CIA evolving? So? And that's where the challenges in the organization. So a lot of CEOs they're going through this process now where they're understanding that, Yes, I need to understand what are the business goals and objectives howto achieve those goals howto I had value to the organization. How did not become a cost center that has a target on my back? How you become an enabler enabler for the business And that's really where we came into that part of the process because we're recognized that Alcide nightie was here trying to help find solutions and provide better customer service. I myself come from a background in higher it for a long time through different institutions. And so when somebody talk to me about student services or student success, these air topics, I understand. I came to Lone Star originally because I didn't feel I had the strength in the academic side. And so when I first arrived there, I was really focused on academic understanding how the academic side operates and what they need in it. So I've had the opportunity to get well rounded in education, but it doesn't. It really is just about anybody that comes into this role. You must understand the business you're in, and then the next part is you need to be able to talk. I have an intelligent conversation around a topic area, bring value to the organization and come back with ideas. Well, you know, if we did this so the legal one was rather interesting because we had a new general counsel. Come on, and we're trying to help him, and he's like, Well, there has to be something better. You ask me. It's a better way to approach this. And we were able to dig through. Is that you know, What service? Now we've been doing this in HR. We're doing this here. So finally, we've got them into service now. And they see an opportunity the same way we see it. Which is we're improving. We're getting rid of the little stuff, the mundane work, You know that the task orientated work and we're focusing on the things that are really a challenge. And it has been there for a while because self service and all the other opportunities we've given the customer. Now we can shift that back and say, Okay, I cannot focus on what does the hard thing to get completed. How Doe I really put in effort in and a lot of a lot of staff hours into this one piece. >> So you started service management You mentioned hr Legal >> Financial Aid General Student Carlson are We're looking at scholarships right now. We tell a little bit ideas around our foundation in scholarships and what we could do for them. Grants. Grants are very big challenge because you have to really track and trend your grants. When you look at it, sm the areas that we've matured there are phenomenal, and then we're getting ready now to move and I Tom, which we didn't do because we already built a complete structure around that we were feeding that to service now. So now I'm looking at from opportunity that if I can eliminate a lot of the tools, I put in a play and get into one single tool and maximize the value of that tool. So I think you heard me many times when we talked in this. It's never about the tool. It's always about people in a process first. And then how does the tool come in? Well, this platform, we can actually adjust that because we're not We're not bound by the tool. Like the legal module. They have a great legal module. Well, it didn't fit what we needed. So it's been adjusted accordingly. T meet our needs from the platform side by keeping the core components so we haven't customized. We haven't taken it to a path where we can never upgrade. But at the same time as we looked at the process they had and how do we take that process and then actually put it into play with service now? >> And they were all inward service now do you worry about locking? >> Always. I think >> that Do you manage that risk? >> Well, the very first thing, to be honest with you is any time you enter in any cloud situation or any product situation, you want an exit strategy of some kind In case something goes wrong, something happens. You have to be at that point. So the only way to manage it really is to one. Keep a good, strong partnership. I believe that I have a strong partnership was service now. I don't believe it's a vendor relationship and I think that's critical because as we look at what we're doing each time as a partner, were were engaged with things like Where you heading? What's happening next? You know what? And then the same thing with the user group community were engaged with that group. So from a partner standpoint, we look at that first. But if the worst case scenario came, I've got to be able to get out of the solution. I've gotta have an exit strategy which we actually had designed before we went into it. Now the question becomes is we get further and further entrenched. What do we do and I'm comfortable. I'm comfortable that the company and the operations are going the right direction for me at the same time. If I'm gonna protect my organization to make sure we're safe. >> And that's a big, big part of transparency on the part of service now and your ability to communicate, you know your road map and your needs, I mean, a scale of one to ten ten being, you know, really transparent. How Where would you put service now as an organization >> who? That's a tough one, Especially when I'm sitting here. >> Uh, Frank's not around is a freaking God. He's breathing guy. Let's see. You know, >> a CZ forest transparency. I would give him good, strong seven. >> Yeah, >> I think I would. No company can be completely transparent. They've got a lot of things working in the back room or ideas that they're moving forward >> because they don't know. They don't know what they don't know. Going. Yeah, >> but there's there's ideas that they have that they're moving forward. It's gonna like today with the watch demo. I'm like, Oh, yeah, I love wearables. I you know, I live off. I could very easily now just say Oh, yeah, I just >> got an e mail. Sorry. Yeah, but, >> uh, at the same time is, you know, for them to bring that forward at this point. So they're creative and looking at these items, but they don't want to get out there too soon. >> I'm curious on the partner vendor, you know, mentioned a couple aspects of what defines that relationship of all the vendors you have. How many do you consider to be? You know, close business partners where your, you know, really sitting at the table and building a long term relationship, You gotta have an exit, but its life so much easier. If >> you're working with a partner verse a vendor right now, I would stay out of our partner strategy. We've got four. That's it. But those are four core providers for the organisation. Their leaders in the market space. That's the other key. Most my partnerships or with leaders, of course service. Now, at the time when we first engaged with them and actually I would say, from a partnership standpoint, a strong partner was service. Now, probably since about two thousand ten, we've been on the platform since two thousand eight. So we built that partnership over that first couple of years. You got past that vendor relationship and then moved on from there. But right now, just our core technology stack would be sitting in that partnership room, and I've got others than in that court Technologies. Technically, I'm not a partner there. A vendor there there were by cell. They have a great product, but they don't really want to bring us into that point. And we really haven't approached that point. >> We had a great discussion off camera about you had mentioned. You're looking at potentially expanding into this security realm with service now. And you were sharing with me like your philosophy on security. So I want to document that The premise that I'm going to put forth summarizing our conversation is, you should organizations increasingly should treat security as an ongoing part of their business continuity plans, not necessarily as a sort of separate stovepipe managed by a few security practitioners. Is that a fair summary? >> Yeah, Service continuity is what I use. I don't have >> service continuity, service continuity, that your business. Yeah, it always comes >> out to service continuity. How do you How do you continue that process and provide the same level of service in the in the event. It's very simple to me as I look at all those events as like problem management incident management, you have a response that you have to take, so it has to be inherit. It has to be natural. You just do it way we're talking about that. That response, specially for security, is what's more important is that you have everything planned out and you're ready to deal with that incident in that rock response because it's gonna happen. So how you handle that response can actually dictate your future, right? Wei had that little bit of that discussion there, too. So it does come down to that service continuity. How do you continue to move forward as and get through that threat and then afterwards make sure that you prevent that from happening again. >> Unlike many CEOs that I talked to, your discussions with the overseers at the college are not entrenched largely in the security discussion. You've earned some level of trust with regard to your capabilities. Is a business your ability to respond. Can you talk about that a little bit? How you actually achieve that, what expectations you were able to set and how you're able to execute on that? >> Well, the biggest, biggest part, especially when you look at it at that event, it's how. How is it performed overall over the history? You've gotta have some history. You've gotta have some credentials. How do you deal with these responses in these emergencies? That gives you a little bit more slack in that process, but it is about constant communications. So what the board received for me is communications. It's very straightforward. Typically, in an annual report type format, Short updates clear, concise updates. But then, when event happens, we're talking about the flood that happened in Houston, and very quickly I had an email out and my service test team was already on it. They already implemented their service continuity because while we may be shut down, we have students online taking classes. We have students that need to know what's going on, what's happening so they're calling in, and our service desk continued on through that entire process without issue. So they see that as an example on a regular basis. If we have a system down, everybody gets to see exactly. We did X, Y and Z or if we even have a like today, I should say today Monday we had a blip. We did, Nam. We have. We saw performance degradation. We immediately had a team on. We had a WebEx open with everything running. So we're preparing for a service continuity event that didn't happen. And they see those two because the business units are getting these notifications. Hey, we've gotta WebEx open. We have this issue coming up, and when they see that, they realize how fast we are to respond to what could be a potential issue that we built that trusting relations. >> So that's a good example. If I understand it correctly, the regime that you've put in place puts a heavy emphasis on the response. I mean, obviously you're trying to stop the bad guys who wouldn't go innovated on the response as well. Is that a fair assessment? >> Yes. I mean, the threats, goingto threats gonna happen. The threat happens all the time. So it is about that response. It is being quick to respond to communicate and take care of the problem. >> Do you think that's changed amongst the CEO community in the last ten years that that the shift in mindset toward that response versus so to keep him out big dig a bigger mode, Wider moat. >> Well, you can dig a big, wide moat. Doesn't matter. >> I think I've >> got these big, robust to hot data centers. Amazing firewalls. They're redundant. You tried overload him. They're going to take over. I've got next gen firewalls behind that. I've got you. Just you, layer layer. This tax of protection I have put in you still have to prepare that we're talking about it is Okay, so that's the perimeter. Well, inside my perimeter is one hundred thousand students, those hundred thousand students around my network. So how do I protect against that? So now I have inside perimeter protection. You can build all this entrenchment that you want to build. But the reality is you need we prepared Just gonna happen that you are. Somebody is going to get to that point. Or at least then the alarms up that you have to respond to >> service now is talking yesterday at the financial analyst meeting about you know, the statistic. And I've heard a range here, but it's large that that after an intrusion it takes, on average two hundred five days for the average organization toe. Realize that there's been an intrusion. I've seen numbers as high as three, three, three, fifty, etcetera. Um, first of all, does that sound consistent with what you see in there in the real world and conservative now help compress that time. >> So the interest was service. Now, of course, is tracking and trending those responses. I, tom and Service watch. There's a lot opportunities with those tools and course we have a perimeter we have a pile of tools were using. In our case, our threats are a bit different because, of course, we're not a big financial institutions. So we were not right with all those other pieces. But you're from the days to recover from a major event and my peers and what that have actually experienced a data loss event? Yeah, it easily is that it is easy. That >> and you think, feel is, though that service now could help you attack that compress that >> yes, mainly through the data collection and then the reporting and then as the events going on all of this information that's happening in the problem management side. What you're seeing from outside information coming in and technicians on the inside updating information as they go through it. You have a comprehensive log of the event from start to finish. >> Now you're speaking just right after this. I think you're just what? You're what you're talking about. >> The shift for my tea service management. Teo Enterprise Service Management. It's actually Enterprise. Wow. But I'm actually walking through the journey. But the best part about that is it's the pitfalls we learned along the way because Wei didn't know we went to Enterprise Service Management. It's kind of I think we had a discussion when we went to the cloud. I didn't know we went to cloud. Exactly. I just knew we went to this heavy virtualization, these two out data centers and I kind of realized, Wow, we really pushed into this new this new wage, this new change. >> We've got a new operating model on on, >> you know. But now yeah, it really is about how we are journey to enterprise service management and the fact that we actually started in a price servicemen before I've even heard of it. It just was around The fundamentals of Hungary. Better service provider. How can we help our customers, uh, achieve their objectives and the business units make it simpler? >> My last question is, what's exciting you these days? A CEO practitioner. What? Float your boat? True. >> What's exciting? You see, I asked if you're gonna give me any hard >> questions for you. That's exciting. >> You know, What excites me is that you're seeing the maturity level of a cloud. The platform side. It is so flexible that you can respond to a customer need quickly that you, khun dynamically spin up the capacity Your When I first started this process, trying to build this high availability was difficult. Now hie availability is really not difficult. It's just around. The process is so that the maturity of the technology and the maturity the service piece that excites me. But it also excites me when I start seeing new team, people come into the market space and they understand that already they're coming in with an idol understanding there they're coming down, understand that business mentality. So original Lighty practitioners didn't have that business background. They didn't have that communication skill you're seeing a lot more of it. The organization now. >> Well, you're a real leader in this space. You've got a lot of experience. Appreciate you sharing your knowledge. And I'm sure the service now community does as well. So good luck with your talk this afternoon. And thanks again for coming. >> Thank you. It's great being here. >> All right, Link a lender. Always a pleasure. Keep right, everybody. This is the cue. We'LL be back Live from Mandalay Bay. This is knowledge sixteen. Right back. >> Service. Now is the time.