>>Welcome to the cube conversation here. I'm Sean ferry with the cube in Palo Alto, California. We've got two great guests here featuring armory who has with them Patrion open-source and talking open source and the enterprise. I'm your host, John ferry with the cube. Thanks for watching guys. Thanks for coming on. Really appreciate. I've got two great guests, Ben mapping, and SVP, a strategic partner in the armory and Ian Della horn, S staff SRE at Patrion gentlemen, you know, open source and enterprise is here and we wouldn't talk about thanks for coming. I appreciate it. >>Yeah. Thank you, John. Really happy to be here. Thank you to the Cuban and your whole crew. I'll start with a quick intro. My name is Ben Mappin, farmers founders, lead strategic partnerships. As John mentioned, you know, it all, it really starts with a premise that traditional businesses, such as hotels, banks, car manufacturers are now acting and behaving much more like software companies than they did in the past. And so if you believe that that's true. What does it mean? It means that these businesses need to get great at delivering their software and specifically to the cloud, like AWS. And that's exactly what armory aims to do for our customers. We're based on opensource Spinnaker, which is a continuous delivery platform. And, and I'm very happy that Ian from Patrion is here to talk about our journey together >>And introduce yourself what you do at Patriot and when Patrion does, and then why you guys together here? What's the, what's the story? >>Absolutely. Hi, John and Ben. Thanks for, thanks for having me. So I am Ian. I am a site reliability engineer at Patrion and Patrion is a membership platform for creators. And what we're our mission is to get creators paid, changing the way the art is valued so that creators can make money by having a membership relationship with, with fans. And we are, we're built on top of AWS and we are using Spinnaker with armory to deploy our applications that, you know, help, help creators get paid. Basically >>Talk about the original story of Ben. How are you guys together? What brought you together? Obviously patron is well-known in the creator circles. Congratulations, by the way, all your success. You've done a great service for the industry and have changed the game you were doing creators before it was fashionable. And also you got some cutting-edge decentralization business models as well. So again, we'll come back to that in a minute, but Ben, talk about how this all comes together. Yeah, >>Yeah. So Ian's got a great kind of origin story on our relationship together. I'll give him a lead in which is, you know, what we've learned over the years from our large customers is that in order to get great at deploying software, it really comes down to three things or at least three things. The first being velocity, you have to ship your software with velocity. So if you're deploying your software once a quarter or even once a year, that does no good to your customers or to your business, like just code sitting in a feature branch on a shelf, more or less not creating any business value. So you have to ship with speed. Second, you have to ship with reliability. So invariably there will be bugs. There will be some outages, but you know, one of the things that armory provides with Spinnaker open sources, the ability to create hardened deployment pipeline so that you're testing the right things at the right times with the right folks involved to do reviews. >>And if there is hopefully not, but if there is a problem in production, you're isolating that problem to a small group of users. And then we call this the progressive deployment or Canary deployment where you're deploying to a small number of users. You measure the results, make sure it's good, expand it and expand it. And so I think, you know, preventing outages is incredibly incredibly important. And then the last thing is being able to deploy multi target multi-cloud. And so in the AWS ecosystem, we're talking about ECS, EKS Lambda. And so I think that these pieces of value or kind of the, the pain points that, that enterprises face can resonate with a lot of companies out there, including ENN Patriot. And so I'll, I'll, I'll let you tell the story. >>Yeah, go ahead. Absolutely. Thanks. Thanks for the intro, man. So background background of our partnership with armory as back in the backend, February of 2019, we had a payments payments slowed down for payments processing, and we were risking not getting creators paid on time, which is a doc great for creators because they rely on us for income to be able to pay themselves, pay their rent or mortgage, but also pay staff because they have video editors, website admins, people that nature work with them. And there were, they're a very, there's a very many root causes to this, to this incident, all kind of culminate at once. One of the things that we saw was that deploying D point fixes to remediate. This took too long or taking at least 45 minutes to deploy a new version of the application. And so we've had continuous delivery before using a custom custom home built, rolling deploy. >>We needed to get that time down. We also needed to be secure in our knowledge of like that deploy was stable. So we had had to place a break in the middle due to various factors that that can happen during the deploy previously, I had used a Spinnaker at previous employers. I have been set it up myself and introduced it. And I knew about, I knew like, oh, this is something we could, this would be great. But the Patriot team, the patron SRE team at that time was two people. So I don't have the ability to manage Spinnaker on my own. It's a complex open-source product. It can do a lot of things. There's a lot of knobs to tweak a lot of various settings and stuff you need to know about tangentially. One of the co-founders of, of armory had been, had to hit, had hit me up earlier. I was like, Hey, have you heard of armory? We're doing this thing, opens our Spinnaker, we're packaging this and managing it, check us out if you want. I kind of like filed it away. Like, okay, well that might be something we can use later. And then like two weeks later, I was like, oh wait, this company that does Spinnaker, I know of them. We should probably have a conversation with them and engage with them. >>And so you hit him up and said, Hey, too many knobs and buttons to push what's the deal. >>Yeah, exactly. Yeah. So I was, I was like, Hey, so by the way, I about that thing, how, how soon can you get someone get someone over here? >>So Ben take us through the progression. Cause that really is how things work in the open source. Open source is really one of those things where a lot of community outreach, a lot of people are literally a one degree or two separation from someone who either wrote the project or is involved in the project. Here's a great example. He saw the need for Spinnaker. The business model was there for him to solve. Okay. Fixes rolling deployments, homegrown all the things, pick your pick, your use case, but he wanted to make it easier. This tends to, this is kind of a pattern. What did you guys do? What's the next step? How did this go from here? >>Yeah. You know, Spinnaker being source is critical to armory's success. Many companies, not just pastry on open source software, I think is not really debatable anymore in terms of being applicable to enterprise companies. But the thing with selling open source software to large companies is that they need a backstop. They need not just enterprise support, but they need features and functionality that enable them to use that software at scale and safely. And so those are really the things that, that we focus on and we use open source as a really, it's a great community to collaborate and to contribute fixes that other companies can use. Other companies contribute fixes and functionality that we then use. But it's, it's really a great place to get feedback and to find new customers that perhaps need that enhanced level of functionality and support. And, and I'm very, very happy that Patrion was one of those companies. >>Okay. So let's talk about the Patrion. Okay. Obviously scaling is a big part of it. You're an SRE site, reliability engineers with folks who don't know what that is, is your, your job is essentially, you know, managing scale. Some say you the dev ops manager, but that's not really right answer. What is the SRE role at patriotics share with folks out there who are either having an SRE. They don't even know it yet or need to have SRS because this is a huge transition that, and new, new and emerging must have role in companies, >>Right? Yeah. We're the history of Patrion covers a lot. We cover a wide swath of a wide swath of, of, of things that we work with and, and areas that we consider to be our, our purview. Not only are we working on working with our AWS environment, but we also are involved in how can we make the site more reliable or performance so that, so that creators fans have a good experience. So we work with our content delivery numbers or caching strategies for caching caching assets. We work inside the application itself for doing performance performance, a hassle. This is also in proving observability with distributed tracing and metrics on a lot of that stuff, but also on the build and deploy side, if we can, if we can get that deploy time faster, like give engineers faster feedback on features that they're working on or bug fixes and also being secure and knowing that the, the code that they're working on it gets delivered reliably. >>Yeah. I think I, you have the continuous delivery is always the, the, the killer killer workflow as both the Spinnaker question here. Well, how has Spinnaker, well, what, how, how does Spinnaker being an open source project help you guys? I mean, obviously open source code is great. How has that been significant and beneficial for both armory and Patrion? >>Yeah, I'll take the first stab at this one. And it starts at the beginning. Spinnaker was created by Netflix and since Netflix open source that four or five years ago, there have been countless and significant contributions from many other companies, including armory, including AWS and those contributions collectively push the industry forward and allow the, the companies that, you know, that use open-source Spinnaker or armory, they can now benefit from all of the collective effort together. So just that community aspect working together is huge. Absolutely huge. And, you know, open source, I guess on the go-to-market side is a big driver for us. You know, there's many, many companies using open-source Spinnaker in production that are not our customers yet. And we, we survey them. We want to know how they're using open-source Spinnaker so that we can then improve open-source Spinnaker, but also build features that are critical for large companies to run at scale, deploy at scale, deploy with velocity and with reliability. >>Yeah. What's your take on, on the benefits of Spinnaker being open source? >>A lot of what Ben, it's been really beneficial to be able to like, be able to go in and look at the source code for components. I've been wondering something like, why is this thing working like this? Or how did they solve this? It's also been useful for, I can go ask the community for, for advice on things. If armory doesn't has the, it doesn't have the time or bandwidth to work on some things I've been able to ask the special interest groups in the source community. Like, can we, can we help improve this or something like that. And I've also been able to commit simple bug fixes for features that I've, that I've needed. I was like, well, I don't need to, I don't need to go engage are very on this. I can just like, I can just write up a simple patch on and have that out for review. >>You know, that's the beautiful thing about open sources. You get the source code and that's, and some people just think it's so easy, Ben, you know, just, Hey, just give me the open source. I'll code it. I got an unlimited resource team. Not, not always the case. So I gotta ask you guys on Patrion. Why use a company like armory, if you have the open source code and armory, why did you build a business on the open source project? Like Spinnaker? >>Yeah. Like I see. Absolutely. Yeah. Like I, like I said earlier, the atrium, the Patrion SRE team was wasn't is fairly small. There's two people. Now we're six. People are still people down. We're six people now. So being sure we could run a Spinnaker on our own if we, if we wanted to. And, but then we'd have no time to do anything else basically. And that's not the best use of our, of our creators money. Our fans, the fans being the creators artists. We have obviously take a percentage on top of that. And we, we need to spend our, that money well, and having armory who's dedicated to the Spinnaker is dedicated, involved the open source project. But also there are experts on this Sunday. It was something that would take me like a week of stumbling around trying to find documentation on how to set this thing up. They done this like 15, 20 times and they can just go, oh yeah, this is what we do for this. And let me go fix it for you >>At score. You know, you've got a teammate. I think that's where, what you're getting at. I got to ask you what other things is that free you up? Because this is the classic business model of life. You know, you have a partner you're moving fast, it slows you down to get into it. Sure. You can do it yourself, but why it's faster to go with it, go together with a partner and a wing man as we will. What things did does that free you up to work on as an SRE? >>Oh, that's freed me up to work on a bigger parts of our build and deploy pipeline. It's freed me up to work on moving from a usage based deploys onto a containerization strategy. It's freed me up to work on more broader observability issues instead of just being laser-focused on running an operating spending. >>Yeah. And that really kind of highlights. I'm glad you said that because it highlights what's going on. You had a lot of speed and velocity. You've got scale, you've got security and you've got new challenges you got to fix in and move fast. It's a whole new world. So again, this is why I love cloud native. Right? So you got open source, you got scale and you guys are applying directly to the, to the infrastructure of the business. So Ben, I got to ask you armory. Co-founder why did you guys build your business on an open source project? Like Spinnaker? What was the mindset? How did you attack this? What did you guys do? Take us through that piece because this is truly a great entrepreneurial story about open source. >>Yeah. Yeah. I'll give you the abridged version, which is that my co-founders and I, we solved the same problem, which is CD at a previous company, but we did it kind of the old fashioned way we home role. We handled it ourselves. We built it on top of Jenkins and it was great for that company, but, and that was kind of the inspiration for us to then ask questions. Hey, is this bigger? We, when at the time we found that Spinnaker had just been, you know, dog food inside of Netflix and they were open sourcing it. And we thought it was a great opportunity for us to partner. But the bigger reason is that Spinnaker is a platform that deploys to other platforms like AWS and Kubernetes and the sheer amount of surface area that's required to build a great product is enormous. And I actually believe that the only way to be successful in this space is to be open source, to have a community of large companies and passionate developers that contribute the roads if you will, to deploy into various targets. >>And so that's the reason, number one for it being open source and us wanting to build our business on top of open source. And then the second reason is because we focus almost exclusively on solving enterprise scale problems. We have a platform that needs to be extensible and open source is by definition extensible. So our customers, I mean, Ian just had a great example, right? Like he needed to fix something he was able to do so solve it in open source. And then, you know, shortly thereafter that that fix in mainline gets into the armory official build and then he can consume his fix. So we see a lot of that from our other customers. And then even, you know, take a very, very large company. They may have custom off that they need to integrate with, but that doesn't, that's not in open-source Spinnaker, but they can go and build that themselves. >>Yeah, it's real. It really is the new modern way to develop. And I, you know, last 80 with startup showcase last season, Emily Freeman gave a talk on, you know, you know, retiring, I call it killing the software, SDLC, the lifecycle of how software was developed in the past. And I got to ask you guys, and, and this cube conversation is that this is kind of like the, the kind of the big wave we're on now is cloud scale, open source, cloud, native data security, all being built in on this in the pipelines to your point is SRS enabling a new infrastructure and a new environment for people to build essentially SAS. So I got to ask you guys as, and you mentioned it Ben, the old way you hand rolled something, Netflix, open source, something, you got to look at Lyft with Envoy. I mean, large-scale comes, are donating their stuff into open source and people getting on top of it and building it. So the world's changed. So we've got to ask you, what's the difference between standing up a SAS application today versus say five to eight years ago, because we all see salesforce.com. You know, they're out there, they built their own data center. Cloud skills changed the dynamics of how software is being built. And with open-source accelerating every quarter, you're seeing more growth in software. How has building a platform for applications changed and how has that changed? How people build SAS applications, Ben, what's your take on this? It's kind of a thought exercise here. >>Yeah. I mean, I wouldn't even call it a thought exercise. We're seeing it firsthand from our customers. And then I'll, you know, I'll, I'll give my answer and you can weigh in on like practical, like what you're actually doing at Patrion with SAS, but the, the costs and the kind of entry fee, if you will, for building a SAS application has tremendously dropped. You don't need to buy servers and put them inside data centers anymore. You just spin up a VM or Kubernetes cluster with AWS. AWS has led the way in public cloud to make this incredible easy. And the tool sets being built around cloud native, like armory and like many other companies in the space are making it even easier. So we're just seeing the proliferation of, of software being developed and, and hopefully, you know, armory is playing a role in, in making it easier and better. >>So before we get to Unum for a second, I just want to just double down on it because there's great conversation that implies that there's going to be a new migration of apps everywhere, right. As tsunami of clutter good or bad, is that good or bad or is it all open source? Is it all good then? >>Absolutely good. For sure. There will be, you know, good stuff developed and not so good stuff developed, but survival of the fittest will hopefully promote those, the best apps with the highest value to the end user and, and society at large and push us all forward. So, >>And what's your take, obviously, Kubernetes, you seeing things like observability talking about how we're managing stateful and services that are being deployed and tear down in real time, automated, all new things are developing. How does building a true scalable SAS application change today versus say five, eight years ago? >>I mean, like you said, there's a, there's a lot, there's a lot of new, both open source. So SAS products available that you can use to build a scale stuff. Like if you're going to need that to build like secure authentication, instead of having to roll that out and you could go with something like Okta raw zero, you can just pull that off the shelf stuff for like managing push notifications before that was like something really hard to really hard to do. Then Firebase came on the scene and also for manic state and application and stuff like that. And also for like being, being able to deliver before >>You had Jenkins, maybe even for that, you didn't really have anything Jenkins came along. And then now you have open-source products like Spinnaker that you can use to deliver. And then you have companies built around that, that you can just go and say, Hey, can you please help us deliver this? Like you just help us, enable us to be able to build, build our products so that we can focus on delivering value to our creators and fans instead of having to focus on, on other things. >>So bill it builds faster. You can compose stuff faster. You don't have to roll your own code. You can just roll your own modules basically, and then exactly what prietary on top of it. Absolutely. Yeah. And that's why commercial open source is booming. Guys. Thank you so much, Ben, congratulations on armory and great to have you on from Patrion well-known success. So we'll accompany you congratulate. If we don't know patriarch, check it out, they have changed the game on creators and leading the industry. Ben. Great, great shot with armory and Spinnaker. Thanks for coming on. Thank you >>So much. Thank you >>So much. Okay. I'm Sean Ferrer here with the cube conversation with Palo Alto. Thanks for watching.

>>Good afternoon, I'm wanting or evening depending >>On where you are and welcome to this breakout session around insurance, improve underwriting with better insights. >>So first and >>Foremost, let's summarize very quickly, um, who we're with and what we're talking about today. My name is Mooney castling, and I'm the managing director at Cloudera for the insurance vertical. And we have a sizeable presence in insurance. We have been working with insurance companies for a long time now, over 10 years, which in terms of insurances, maybe not that long, but for technology, it really is. And we're working with, as you can see some of the largest companies in the world and in the continents of the world. However, we also do a significant amount of work with smaller insurance companies, especially around specialty exposures and the regionals, the mutuals in property, casualty, general insurance, life, annuity, and health. So we have a vast experience of working with insurers. And, um, we'd like to talk a little bit today about what we're seeing recently in the underwriting space and what we can do to support the insurance industry >>In there. So >>Recently what we have been seeing, and it's actually accelerated as a result of their recent pandemic that we all have been going through. We see that insurers are putting even more emphasis on accounting for every individual customer's risks, lotta via commercial, a client or a personal person, personal insurance risk in a dynamic and a bespoke way. And what I mean with that is in a dynamic way, it means that risks and risk assessments change very regularly, right? Companies go into different business situations. People behave differently. Risks are changing all the time and they're changing per person. They're not changing the narrow generically my risk at a certain point of time in travel, for example, it might be very different than any of your risks, right? So what technology has started to enable is underwrite and assess those risks at those very specific individual levels. And you can see that insurers are investing in depth capability. The value of, um, artificial intelligence and underwriting is growing dramatically. As you see from some of those quotes here and also risks that were historically very difficult to assess such as networks, uh, vendor is global supply chains, um, works workers' compensation that has a lot of moving parts to it all the time and anything that deals with rapidly changing risks, exposures and people, and businesses have been supported more and more by technology such as ours to help account for that. >>And this is a bit a difficult slide. So bear with me for a second here. What this slide shows specifically for underwriting is how data-driven insights help manage underwriting. And what you see on the left side of this slide is the progress insurers make in analytical capabilities. And quite often the first steps are around reporting and that tends to be run from a data warehouse, operational data store, Starsky, Matt, um, data, uh, models. And then, and reporting really is, uh, quite often as a BI function, of course, a business intelligence function. And it really, you know, at a regular basis informs the company of what has been taken place now in the second phase, the middle dark, the middle color blue. The next step that is shore stage is to get into descriptive analytics. And what descriptive analytics really do is they try to describe what we're learning in reporting. >>So we're seeing certain events and sorts and findings and sorts of numbers and certain trends happening in reporting. And in the descriptive phase, we describe what this means and you know why this is happening. And then ultimately, and this is the holy grill, the end goal we like to get through predictive analytics. So we like to try to predict what is going to happen, uh, which risk is a good one to underwrite, you know, Watts next policy, a customer might need or wants water claims as we discuss it. And not a session today, uh, might become fatherless or a which one we can move straight through because they're not supposed to be any issues with it, both on the underwriting and the claims side. So that's where every insurer is shooting for right now. But most of them are not there yet. Totally. Right. So on the right side of this slide specifically for underwriting, we would, we like to show what types of data generally are being used in use cases around underwriting, in the different faces of maturity and analytics that I just described. >>So you will see that on the reporting side, in the beginning, we start with braids, information, quotes, information, submission information, bounding information. Um, then if you go to the descriptive phase, we start to add risk engineering information, risk reports, um, schedules of assets on the commercial side, because some are profiles, uh, as the descriptions move into some sort of an unstructured data environments, um, notes, diaries, claims notes, underwriting notes, risk engineering notes, transcripts of customer service calls, and then totally to the outer side of this baseball field looking slide, right? You will see the relatively new data sources that can add tremendous value. Um, but I'm not Whitely integrated yet. So I will walk through some use cases around specifically. So think about sensors, wearables, you know, sense of some people's bodies, sensors, moving assets for transportation, drone images for underwriting. It's not necessary anymore to send, uh, an inspection person and inspector or a risk risk inspector or engineer to every building. You know, insurers now fly drones over it, to look at the roofs, et cetera, photos. You know, we see it a lot in claims first notice of loss, but we also see it for underwriting purposes that policies all done out at pretty much say sent me pictures of your five most valuable assets in your home and we'll price your home and all its contents for you. So we start seeing more and more movements towards those, as I mentioned earlier, dynamic and bespoke types of underwriting. >>So this is how Cloudera supports those initiatives. So on the left side, you see data coming into your insurance company. There are all sorts of different states, Dara. Some of them aren't managed and controlled by you. Some audits you get from third parties and we'll talk about Della medics in a little bit. It's one of the use cases, the move into the data life cycle, the data journey. So the data is coming into your organization. You collected, you store it, you make it ready for utilization. You plop it, eat it in an operational environment for processing what in an analytical environment for analysis. And then you close on the loop and adjusted from the beginning if necessary, no specifically for insurance, which is if not the most regulated industry in the world it's coming awfully close. And it will come in as a, as a very admirable second or third. >>Um, it's critically important that that data is controlled and managed in the correct way on all the different regulations that, that we are subject to. So we do that in the cloud era share data experiment experience, which is where we make sure that the data is accessed by the right people. And that we always can track who did watch to any point in time to that data. Um, and that's all part of the Cloudera data platform. Now that whole environment that we run on premise as well as in the cloud or in multiple clouds or in hybrid, most insurers run hybrid models, which are part of that data on premise and part of the data and use cases and workloads in the cloud. We support enterprise use cases around on the writing in risk selection, individualized pricing, digital submissions, quote processing, the whole quote, quote bound process, digitally fraud and compliance evaluations and network analysis around, um, service providers. So I want to walk you through some of the use cases that we've seen in action recently that showcases how this >>Work in real life. First one >>Is to seize that group plus Cloudera, um, uh, full disclosure is obviously for the people that know a Dutch health insurer. I did not pick the one because I happen to be Dutch is just happens to be a fantastic use case and what they were struggling with as many, many insurance companies is that they had a legacy infrastructure that made it very difficult to combine data sets and get a full view of the customer and its needs. Um, as any ensure customer demands and needs are rapidly changing competition is changing. So C-SAT decided that they needed to do something about it. And they built a data platform on Cloudera that helps them do a couple of things. It helps them support customers better or proactively. So they got really good in pinging customers on what potential steps they need to take to improve on their health in a preventative way. >>But also they sped up rapidly their, uh, approvals of medical procedures, et cetera. And so that was the original intent, right? It's like serve the customers better or retain the customers, make sure what they have the right access to the right services when they need us in a proactive way. As a side effect of this, um, data platform. They also got much better in, um, preventing and predicting fraud and abuse, which is, um, the topic of the other session we're running today. So it really was a good success and they're very happy with it. And they're actually starting to see a significant uptick in their customer service, KPIs >>And results. >>The other one that I wanted to quickly mention is Octo as most of you know, Optune is a very, very large telemedics provider, telematics data provider globally speaking with Cloudera for quite some time, this one I want to showcase because it showcases what we can do with data in mass amounts. So for Octo, we, um, analyze on Cloudera 5 million connected cars, ongoing with 11 billion data points and really want to doing as the creating the algorithms and the models and insurers use to, um, to, um, run, um, tell them insurance telematics programs, right to pay as you drive B when you drive the, how you drive. And this whole telemedics part of insurance is actually growing very fast too in, in, still in solidified proof of concept mini projects, kind of initiatives. But, um, what we're succeeding is that companies are starting to offer more and more services around it. >>So they become preventative and predictive too. So now you got to the program staff being me as a dry for seeing Monique you're hopping in the car for two hours. Now, maybe it's time to take a break. Um, we see that there's a Starbucks coming up on the right or any coffee shop. That's part of a bigger chain. Uh, we know because you have that app on your phone, that you are a Starbucks user. So if you stop there, we'll give you a 50 discount on your regular coffee. So we start seeing these types of programs coming through to, again, keep people safe and keep cars safe, but primarily of course the people in it, and those are the types of use cases that we start seeing in that telematic space. >>This looks more complicated than it is. So bear with me for a second. This is a commercial example because we see a data work. A lot of data were going on in commercial insurance. It's not Leah personal insurance thing. Commercial is near and dear to my heart. It's where I started. I actually, for a long time, worked in global energy insurance. So what this one wheelie explains is how we can use sensors on people's outfits and people's clothes to manage risks and underwrite risks better. So there are programs now for manufacturing companies and for oil and gas, where the people that work in those places are having sensors as part of their work outfits. And it does a couple of things. It helps in workers' comp underwriting and claims because you can actually see where people are moving, what they are doing, how long they're working. >>Some of them even tracks some very basic health-related information like blood pressure and heartbeat and stuff like that, temperature. Um, so those are all good things. The other thing that had to us, it helps, um, it helps collect data on the specific risks and exposures. Again, we're getting more and more to individual underwriting or individual risk underwriting, who insurance companies that, that ensure these, these, um, commercial commercial enterprises. So they started giving discounts if the workers were sensors and ultimately if there is an unfortunate event and it like a big accident or big loss, it helps, uh, first responders very quickly identify where those workers are and, and, and if, and how they're moving, which is all very important to figure out who to help first in case something bad happens. Right? So these are the type of data that quite often got implements in one specific use case, and then get broadly move to other use cases or deployed into other use cases to help price risks better, better, and keep, you know, risks, better control, manage, and provide preventative care. Right? >>So these were some of the use cases that we run in the underwriting space that are very excited to talk about. So as a next step, what we would like you to do is considered opportunities in your own companies to advance whisk assessment specific to your individual customer's need. And again, customers can be people they can be enterprises to can be other, any, any insurable entity, right? The police physical dera.com solutions insurance, where you will find all our documentation assets and thought leadership around the topic. And if you ever want to chat about this, you know, please give me a call or schedule a meeting with us. I get very passionate about this topic. I'll gladly talk to you forever. If you happen to be based in the us and you ever need somebody to filibuster on insurance, please give me a call. I'll easily fit 24 hours on this one. Um, so please schedule a call with me. I promise to keep it short. So thank you very much for joining this session. And as the last thing I would like to remind all of you read our blogs, read our tweets. We'd our thought leadership around insurance. And as we all know, insurance is sexy.

>>Good morning or good afternoon or good evening, depending on where you are and welcome to this session, reduce claims, fraud, we're data, very excited to have you all here. My name is Winnie castling and I'm Cloudera as managing director for the insurance vertical. First and foremost, we want to let you know that we know insurance. We have done it for a long time. Collectively, personally, I've done it for over 30 years. And, you know, as a proof of that, we want to let you know that we insure, we insure as well as we do data management work for the top global companies in the world, in north America, over property casualty, general insurance health, and, um, life and annuities. But besides that, we also take care of the data needs for some smaller insurance companies and specialty companies. So if you're not one of the huge Glomar conglomerates in the world, you are still perfectly fine with us. >>So >>Why are we having this topic today? Really digital claims and digital claims management is accelerating. And that's based on a couple of things. First and foremost, customers are asking for it. Customers are used to doing their work more digitally over the last descending year or two. And secondly, with the last year or almost two, by now with the changes that we made in our work processes and in society at large around cuvettes, uh, both regulators, as well as companies have enabled digital processing and the digital journey to a degree that they've never done before. Now that had some really good impacts for claims handling. It did meant that customers were more satisfied. They felt they have more control over their processes in the cloud and the claims experience. It also reduced in a lot of cases, both in commercial lines, as well as in personal lines, the, um, the, the time periods that it took to settle on a claim. However, um, the more digital you go, it, it opened up more access points for fraud, illicit activities. So unfortunately we saw indicators of fraud and fraud attempts, you know, creeping up over the last time period. So we thought it was a good moment to look at, you know, some use cases and some approaches insurers can take to manage that even better than they already >>Are. >>And this is how we plan to do that. And this is how we see this in action. On the left side, you see progress of data analytics and data utilization, um, around, in this case, we're talking about claims fraud, but it's a generic picture. And really what it means is most companies that start with data affords pretty much start around data warehousing and we eliminate analytics and all around BI and reporting, which pretty much is understanding what we know, right? The data that we already have utilizing data to understand better what we know already. Now, when we move to the middle blue collar, we get into different types of analytics. We get into exploratory data science, we get to predictions and we start getting in the space of describing what we can learn from what we know, but also start moving slowly into predicting. So first of all, learn and gather insights of what we already know, and then start augmenting with that with other data sets and other findings, so that we can start predicting for the future, what might happen. >>And that's the point where we get to AI, artificial intelligence and machine learning, which will help us predict which of our situations and claims are most likely to have a potential fraud or abuse scenario attached to it. So that's the path that insurers and other companies take in their data management and analytics environments. Now, if you look at the right side of this light, you see data complexity per use cases in this case in fraud. So the bubbles represent the types of data that are being used, or the specific faces that we discussed on the left side. So for reporting, we used a TPA data, policy verification, um, claims file staff data, that it tends to be heavily structured and already within the company itself. And when you go to the middle to the more descriptive basis, you start getting into unstructured data, you see a lot of instructor texts there, and we do a use case around that later. >>And this really enables us to better understand what the scenarios are that we're looking at and where the risks are around. In our example today, fraud, abuse and issues of resources. And then the more you go to the upper right corner, you see the outside of the baseball field, people refer to it, you see new unstructured data sources that are being used. You tend to see the more complex use cases. And we're looking at picture analysis, we're looking at voice analysis there. We're looking at geolocation. That's quite often the first one we look at. So this slide actually shows you the progress and the path in complexity and in utilization of data and analytical tool sets to manage data fraud, fraud, use cases, optimally. >>Now how we do that and how we look at at a Cloudera is actually not as complicated as, as this slight might want to, um, to, to give you an impression. So let's start at the left side at the left side, you see the enterprise data, which is data that you as an organization have, or that you have access to. It doesn't have to be internal data, but quite often it is now that data goes into a data journey, right? It gets collected first. It gets manipulated and engineered so that people can do something with it. It gets stored something, you know, people need to have access to it. And then they get into analytical capabilities who are inside gathering and utilization. Now, especially for insurance companies that all needs to be underpinned by a very, very strong security and governance, uh, environment. Because if not the most regulated industry in the world, insurance is awfully close. >>And if it's not the most regulated one, it's a close second. So it's critically important that insurers know, um, where the data is, who has access to it for Rodriguez, uh, what is being used for so terms like lineage, transparency are crucial, crucially important for insurance. And we manage that in the shared data experience. So it goes over the whole Cloudera platform and every application or tool or experience you use would include Dao. And on the right side, you see the use cases that tend to be deployed around claims and claims fraud, claims, fraud management. So over the last year or so, we've seen a lot of use cases around upcoding people get one treatment or one fix on a car, but it gets coded as a more expensive one. That's a fraud scenario, right? We see also the more classical fraud things and we see anti money laundering. So those are the types of use cases on the right side that we are supporting, um, on the platform, uh, around, um, claims fraud. >>And this is an example of how that actually looks like now, this is a one that it's actually a live one of, uh, a company that had, um, claims that dealt with health situations and being killers. So that obviously is relevant for health insurers, but you also see it in, um, in auto claims and counterclaims, right, you know, accidents. There are a lot of different claims scenarios that have health risks associated with it. And what we did in this one is we joined tables in a complex schema. So we have to look at the claimant, the physician, the hospital, all the providers that are involved procedures that are being deployed. Medically medicines has been utilized to uncover the full picture. Now that is a hard effort in itself, just for one claim and one scenario. But if you want to see if people are abusing, for example, painkillers in this scenario, you need to do that over every instant that is member. >>This claimant has, you know, with different doctors, with different hospitals, with different pharmacies or whatever that classically it's a very complicated and complex, um, the and costly data operation. So nowadays that tends to be done by graph databases, right? So you put fraud rings within a graph database and walk the graph. And if you look at it here in batch, you can see that in this case, that is a member that was shopping around for being killers and went through different systems and different providers to get, um, multiple of the same big LR stat. You know, obviously we don't know what he or she did with it, but that's not the intent of the system. And that was actually a fraud and abuse case. >>So I want to share some customer success stories and recent, uh, AML and fraud use cases. And we have a couple of them and I'm not going to go in an awful lot of detail, um, about them because we have some time to spend on one of them immediately after this. But one of them for example, is voice analytics, which is a really interesting one. And on the baseball slide that I showed you earlier, that would be a right upper corner one. And what happened there is that an insurance company utilized the, uh, the voice records they got from the customer service people to try to predict which one were potentially fraud list. And they did it in two ways. They look at actually the contents of what was being said. So they looked at certain words that were being used certain trigger words, but they also were looking at tone of voice pitch of voice, uh, speed of talking. >>So they try to see trends there and hear trends that would, um, that would bring them for a potential bad situation. Now good and bad news of this proof of concept was it's. We learned that it's very difficult just because every human is different to get an indicator for bad behavior out of the pitch or the tone or the voice, you know, or those types of nonverbal communication in voice. But we did learn that it was easier to, to predict if a specific conversation needed to be transferred to somebody else based on emotion. You know, obviously as we all understand life and health situations tend to come with emotions, or so people either got very sad or they got very angry or so the proof of concept didn't really get us to a firm understanding of potential driverless situation, but it did get us to a much better understanding of workflow around, um, claims escalation, um, in customer service to route people, to the right person, depending on what they need. >>And that specific time, another really interesting one was around social media, geo open source, all sorts of data that we put together. And we linked to the second one that I listed on slide here that was an on-prem deployment. And that was actually an analysis that regulators were asking for in a couple of countries, uh, for anti money laundering scams, because there were some plots out there that networks of criminals would all buy the low value policies, surrendered them a couple of years later. And in that way, God criminal money into the regular amount of monetary system whitewashed the money and this needed some very specific and very, very complex link analysis because there were fairly large networks of criminals that all needed to be tied together, um, with the actions, with the policies to figure out where potential pain points were. And that also obviously included ecosystems, such as lawyers, administrative offices, all the other things, no, but most, you know, exciting. >>I think that we see happening at the moment and we, we, you know, our partner, if analytics just went live with this with a large insurer, is that by looking at different types that insurers already have, um, unstructured data, um, um, their claims nodes, um, repour its claims, filings, um, statements, voice records, augmented with information that they have access to, but that's not their ours such as geo information obituary, social media Boyd on the cloud. And we can analyze claims much more effectively and efficiently for fraud and litigation and alpha before. And the first results over the last year or two showcasing a significant degree is significant degrees in claims expenses and, um, and an increase at the right moment of what a right amount in claims payments, which is obviously a good thing for insurers. Right? So having said all of that, I really would like to give Sri Ramaswami, the CEO of infinite Lytics, the opportunity to walk you through this use case and actually show you how this looks like in real life. So Sheree, here >>You go. So >>Insurers often ask us this question, can AI help insurance companies, lower loss expenses, litigation, and help manage reserves better? We all know that insurance industry is majority. Majority of it is unstructured data. Can AI analyze all of this historically and look for patterns and trends to help workflows and improve process efficiencies. This is exactly why we brought together industry experts at infill lyrics to create the industries where very first pre-trained and prebuilt insights engine called Charlie, Charlie basically summarizes all of the data structured and unstructured. And when I say unstructured, I go back to what money basically traded. You know, it is including documents, reports, third-party, um, it reports and investigation, uh, interviews, statements, claim notes included as well at any third party enrichment that we can legally get our hands on anything that helps the adjudicate, the claims better. That is all something that we can include as part of the analysis. And what Charlie does is takes all of this data and very neatly summarizes all of this. After the analysis into insights within our dashboard, our proprietary naturally language processing semantic models adds the explanation to our predictions and insights, which is the key element that makes all of our insights >>Actually. So >>Let's just get into, um, standing what these steps are and how Charlie can help, um, you know, with the insights from the historical patterns in this case. So when the claim comes in, it comes with a lot of unstructured data and documents that the, uh, the claims operations team have to utilize to adjudicate, to understand and adjudicate the claim in an efficient manner. You are looking at a lot of documents, correspondences reports, third party reports, and also statements that are recorded within the claim notes. What Charlie basically does is crunches all, all of this data removes the noise from that and brings together five key elements, locations, texts, sentiments, entities, and timelines in the next step. >>In the next step, we are basically utilizing Charlie's built-in proprietary, natural language processing models to semantically understand and interpret all of that information and bring together those key elements into curated insights. And the way we do that is by building knowledge, graphs, and ontologies and dictionaries that can help understand the domain language and convert them into insights and predictions that we can display on the dash. Cool. And if you look at what has been presented in the dashboard, these are KPIs and metrics that are very interesting for a management staff or even the operations. So the management team can basically look at the dashboard and start with the summarized data and start to then dig deeper into each of the problematic areas and look at patterns at that point. And these patterns that we learn from not only from what the system can provide, but also from the historic data can help understand and uncover some of these patterns in the newer claims that are coming in so important to learn from the historic learnings and apply those learnings in the new claims that are coming in. >>Let's just take a very quick example of what this is going to look like a claims manager. So here the claims manager discovers from the summarized information that there are some problems in the claims that basically have an attorney involved. They have not even gone into litigation and they still are, you know, I'm experiencing a very large, um, average amount of claim loss when they compare to the benchmark. So this is where the manager wants to dig deeper and understand the patterns behind it from the historic data. And this has to look at the wealth of information that is sitting in the unstructured data. So Charlie basically pulls together all these topics and summarizes these topics that are very specific to certain losses combined with entities and timelines and sentiments, and very quickly be able to show to the manager where the problematic areas are and what are those patterns leading to high, severe claims, whether it's litigation or whether it's just high, severe indemnity payments. >>And this is where the managers can adjust their workflows based on what we can predict using those patterns that we have learned and predict the new claims, the operations team can also leverage Charlie's deep level insights, claim level insights, uh, in the form of red flags, alerts and recommendations. They can also be trained using these recommendations and the operations team can mitigate the claims much more effectively and proactively using these kind of deep level insights that need to look at unstructured data. So at the, at the end, I would like to say that it is possible for us to achieve financial benefits, leveraging artificial intelligence platforms like Charlie and help the insurers learn from their historic data and being able to apply that to the new claims, to work, to adjust their workflows efficiently. >>Thank you very much for you. That was very enlightening as always. And it's great to see that actually, some of the technology that we all work so hard on together, uh, comes to fruition in, in cost savings and efficiencies and, and help insurers manage potential bad situations, such as claims fraud batter, right? So to close this session out as a next step, we would really urge you to a Sasha available data sources and advanced or predictive fraud prevention capabilities aligned with your digital initiatives to digital initiatives that we all embarked on over the last year are creating a lot of new data that we can use to learn more. So that's a great thing. If you need to learn more at one to learn more about Cloudera and our insurance work and our insurance efforts, um, you to call me, uh, I'm very excited to talk about this forever. So if you want to give me a call or find a place to meet when that's possible again, and schedule a meeting with us, and again, we love insurance. We'll gladly talk to anyone until they say in parts of the United States, the cows come home about it. And we're dad. I want to thank you all for attending this session and hanging in there with us for about half an hour. And I hope you have a wonderful rest of the day. >>Good afternoon, I'm wanting or evening depending on where you are and welcome to this breakout session around insurance, improve underwriting with better insights. >>So first and >>Foremost, let's summarize very quickly, um, who we're with and what we're talking about today. My name is goonie castling, and I'm the managing director at Cloudera for the insurance vertical. And we have a sizeable presence in insurance. We have been working with insurance companies for a long time now, over 10 years, which in terms of insurance, it's maybe not that long, but for technology, it really is. And we're working with, as you can see some of the largest companies in the world and in the continents of the world. However, we also do a significant amount of work with smaller insurance companies, especially around specialty exposures and the regionals, the mutuals in property, casualty, general insurance, life, annuity, and health. So we have a vast experience of working with insurers. And, um, we'd like to talk a little bit today about what we're seeing recently in the underwriting space and what we can do to support the insurance industry in there. >>So >>Recently what we have been seeing, and it's actually accelerated as a result of the recent pandemic that we all have been going through. We see that insurers are putting even more emphasis on accounting for every individual customers with lotta be a commercial clients or a personal person, personal insurance risk in a dynamic and a B spoke way. And what I mean with that is in a dynamic, it means that risks and risk assessments change very regularly, right? Companies go into different business situations. People behave differently. Risks are changing all the time and the changing per person they're not changing the narrow generically my risk at a certain point of time in travel, for example, it might be very different than any of your risks, right? So what technology has started to enable is underwrite and assess those risks at those very specific individual levels. And you can see that insurers are investing in that capability. The value of, um, artificial intelligence and underwriting is growing dramatically. As you see from some of those quotes here and also risks that were historically very difficult to assess such as networks, uh, vendors, global supply chains, um, works workers' compensation that has a lot of moving parts to it all the time and anything that deals with rapidly changing risks, exposures and people, and businesses have been supported more and more by technology such as ours to help, uh, gone for that. >>And this is a bit of a difficult slide. So bear with me for a second here. What this slide shows specifically for underwriting is how data-driven insights help manage underwriting. And what you see on the left side of this slide is the progress in make in analytical capabilities. And quite often the first steps are around reporting and that tends to be run from a data warehouse, operational data store, Starsky, Matt, um, data, uh, models and reporting really is, uh, quite often as a BI function, of course, a business intelligence function. And it really, you know, at a regular basis informs the company of what has been taken place now in the second phase, the middle dark, the middle color blue. The next step that is shore stage is to get into descriptive analytics. And what descriptive analytics really do is they try to describe what we're learning in reporting. >>So we're seeing sorts and events and sorts and findings and sorts of numbers and certain trends happening in reporting. And in the descriptive phase, we describe what this means and you know why this is happening. And then ultimately, and this is the holy grill, the end goal we like to get through predictive analytics. So we like to try to predict what is going to happen, uh, which risk is a good one to underwrite, you know, watch next policy, a customer might need or wants water claims as we discuss it. And not a session today, uh, might become fraud or lists or a which one we can move straight through because they're not supposed to be any issues with it, both on the underwriting and the claims side. So that's where every insurer is shooting for right now. But most of them are not there yet. >>Totally. Right. So on the right side of this slide specifically for underwriting, we would, we like to show what types of data generally are being used in use cases around underwriting, in the different faces of maturity and analytics that I just described. So you will see that on the reporting side, in the beginning, we start with rates, information, quotes, information, submission information, bounding information. Um, then if you go to the descriptive phase, we start to add risk engineering information, risk reports, um, schedules of assets on the commercial side, because some are profiles, uh, as a descriptions, move into some sort of an unstructured data environment, um, notes, diaries, claims notes, underwriting notes, risk engineering notes, transcripts of customer service calls, and then totally to the other side of this baseball field looking slide, right? You will see the relatively new data sources that can add tremendous value. >>Um, but I'm not Whitely integrated yet. So I will walk through some use cases around these specifically. So think about sensors, wearables, you know, sensors on people's bodies, sensors, moving assets for transportation, drone images for underwriting. It's not necessary anymore to send, uh, an inspection person and inspector or risk, risk inspector or engineer to every building, you know, be insurers now, fly drones over it, to look at the roofs, et cetera, photos. You know, we see it a lot in claims first notice of loss, but we also see it for underwriting purposes that policies out there. Now that pretty much say sent me pictures of your five most valuable assets in your home and we'll price your home and all its contents for you. So we start seeing more and more movements towards those, as I mentioned earlier, dynamic and bespoke types of underwriting. >>So this is how Cloudera supports those initiatives. So on the left side, you see data coming into your insurance company. There are all sorts of different data. There are, some of them are managed and controlled by you. Some orders you get from third parties, and we'll talk about Della medics in a little bit. It's one of the use cases. They move into the data life cycle, the data journey. So the data is coming into your organization. You collected, you store it, you make it ready for utilization. You plop it either in an operational environment for processing or in an analytical environment for analysis. And then you close on the loop and adjusted from the beginning if necessary, no specifically for insurance, which is if not the most regulated industry in the world it's coming awfully close, and it will come in as a, a very admirable second or third. >>Um, it's critically important that that data is controlled and managed in the correct way on the old, the different regulations that, that we are subject to. So we do that in the cloud era Sharon's data experiment experience, which is where we make sure that the data is accessed by the right people. And that we always can track who did watch to any point in time to that data. Um, and that's all part of the Cloudera data platform. Now that whole environment that we run on premise as well as in the cloud or in multiple clouds or in hybrids, most insurers run hybrid models, which are part of the data on premise and part of the data and use cases and workloads in the clouds. We support enterprise use cases around on the writing in risk selection, individualized pricing, digital submissions, quote processing, the whole quote, quote bound process, digitally fraud and compliance evaluations and network analysis around, um, service providers. So I want to walk you to some of the use cases that we've seen in action recently that showcases how this work in real life. >>First one >>Is to seize that group plus Cloudera, um, uh, full disclosure. This is obviously for the people that know a Dutch health insurer. I did not pick the one because I happen to be dodged is just happens to be a fantastic use case and what they were struggling with as many, many insurance companies is that they had a legacy infrastructure that made it very difficult to combine data sets and get a full view of the customer and its needs. Um, as any insurer, customer demands and needs are rapidly changing competition is changing. So C-SAT decided that they needed to do something about it. And they built a data platform on Cloudera that helps them do a couple of things. It helps them support customers better or proactively. So they got really good in pinging customers on what potential steps they need to take to improve on their health in a preventative way. >>But also they sped up rapidly their, uh, approvals of medical procedures, et cetera. And so that was the original intent, right? It's like serve the customers better or retain the customers, make sure what they have the right access to the right services when they need it in a proactive way. As a side effect of this, um, data platform. They also got much better in, um, preventing and predicting fraud and abuse, which is, um, the topic of the other session we're running today. So it really was a good success and they're very happy with it. And they're actually starting to see a significant uptick in their customer service, KPIs and results. The other one that I wanted to quickly mention is Octo. As most of you know, Optune is a very, very large telemedics provider, telematics data provider globally. It's been with Cloudera for quite some time. >>This one I want to showcase because it showcases what we can do with data in mass amounts. So for Octo, we, um, analyze on Cloudera 5 million connected cars, ongoing with 11 billion data points. And really what they're doing is the creating the algorithms and the models and insurers use to, um, to, um, run, um, tell them insurance, telematics programs made to pay as you drive pay when you drive, pay, how you drive. And this whole telemedics part of insurance is actually growing very fast too, in, in, still in sort of a proof of concept mini projects, kind of initiatives. But, um, what we're succeeding is that companies are starting to offer more and more services around it. So they become preventative and predictive too. So now you got to the program staff being me as a driver saying, Monique, you're hopping in the car for two hours. >>Now, maybe it's time you take a break. Um, we see that there's a Starbucks coming up on the ride or any coffee shop. That's part of a bigger chain. Uh, we know because you have that app on your phone, that you are a Starbucks user. So if you stop there, we'll give you a 50 cents discount on your regular coffee. So we start seeing these types of programs coming through to, again, keep people safe and keep cars safe, but primarily of course the people in it, and those are the types of use cases that we start seeing in that telematic space. >>This looks more complicated than it is. So bear with me for a second. This is a commercial example because we see a data work. A lot of data were going on in commercial insurance. It's not Leah personal insurance thing. Commercial is near and dear to my heart. That's where I started. I actually, for a long time, worked in global energy insurance. So what this one wheelie explains is how we can use sensors on people's outfits and people's clothes to manage risks and underwrite risks better. So there are programs now for manufacturing companies and for oil and gas, where the people that work in those places are having sensors as part of their work outfits. And it does a couple of things. It helps in workers' comp underwriting and claims because you can actually see where people are moving, what they are doing, how long they're working. >>Some of them even tracks some very basic health-related information like blood pressure and heartbeat and stuff like that, temperature. Um, so those are all good things. The other thing that had to us, it helps, um, it helps collect data on the specific risks and exposures. Again, we're getting more and more to individual underwriting or individual risk underwriting, who insurance companies that, that ensure these, these, um, commercial, commercial, um, enterprises. So they started giving discounts if the workers were sensors and ultimately if there is an unfortunate event and it like a big accident or big loss, it helps, uh, first responders very quickly identify where those workers are. And, and, and if, and how they're moving, which is all very important to figure out who to help first in case something bad happens. Right? So these are the type of data that quite often got implements in one specific use case, and then get broadly moved to other use cases or deployed into other use cases to help price risks, betters better, and keep, you know, risks, better control, manage, and provide preventative care. Right? >>So these were some of the use cases that we run in the underwriting space that are very excited to talk about. So as a next step, what we would like you to do is considered opportunities in your own companies to advance risk assessment specific to your individual customer's need. And again, customers can be people they can be enterprises to can be other any, any insurable entity, right? The please physical dera.com solutions insurance, where you will find all our documentation assets and thought leadership around the topic. And if you ever want to chat about this, please give me a call or schedule a meeting with us. I get very passionate about this topic. I'll gladly talk to you forever. If you happen to be based in the us and you ever need somebody to filibuster on insurance, please give me a call. I'll easily fit 24 hours on this one. Um, so please schedule a call with me. I promise to keep it short. So thank you very much for joining this session. And as a last thing, I would like to remind all of you read our blogs, read our tweets. We'd our thought leadership around insurance. And as we all know, insurance is sexy.

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital experience brought to you by Dell Technologies. Welcome to the cubes coverage of Dell Technologies World 2020 the digital edition. It wouldn't be a Dell Technologies world on the Cube without our next guest. Tim Crawford, CEO, Strategic Advisor from a boa. Tim, welcome back to the Cube. It's great to talk to you. >>Thanks, Lisa. Thanks for having me on the Cube today. >>A lot has changed since we last got to sit down with you in person. We think of the last Dell Technologies world is a year and a half ago. But we've seen dramatic changes in the enterprise the last 67 months. Talk to me about some of the things that you're seeing. >>Yeah. You know, Lisa, you couldn't put, um, or sustained way around what we've seen over the last 10 months or less. Even theater prices change for Monster Blue. You know, we've gone from having a pretty clear strategy of how we're going to move forward in the technology is we're gonna use to setting all that aside the strategies and plans that we had in the end of 2019 no longer apply the way we engage with customers, the way we run our business, the way who our customers are. The markets we go after all of that is now up for grabs. All of that has changed. And so, therefore, technology and the underpinnings of how we use data has to change accordingly. And so I think we'll talk a little more about that, too. >>I'd like to get your perspective on this acceleration of digital transformation that happened this year. We've seen that we've seen the companies that weren't ready. We've seen the companies that were pretty decently able to pivot quickly. What's your advice for those who are still struggling? Because here we are seven months in. One thing we know for sure is this uncertainty is going to continue for a while. >>Yeah, you're absolutely right. The uncertainty is going to continue for a while. We don't know what the new normal is gonna look like. We don't know how our customers are going to engage with us in the future. And so all the more reason why we need to be thinking very differently about how we operate our companies and how we remain flexible, how we stay in touch with our customers and how that translates into the choices we make in terms of the partners and technologies data that we use. You know, one of the great things about the coronavirus that has come out. If you can say that there is a great thing that's come out of it is it's really accelerated the need to transform companies. And I'm talking about business transformation, not digital transformation. Digital transformation is a downstream component of business transformation. And so a lot of the hurdles that companies were having that I T organizations were having to move to the cloud toe leverage, data toe leverage, artificial intelligence and machine learning. Ah, lot of those hurdles have since dropped by the wayside because companies are realizing if they don't start to adopt some of this new technology, it's available and has been available for some time. They will die, and it it really is that dramatic for companies. And so the Kobe 19 virus has really kind of thrown everything into into the muck, and we've had toe kind of sort things out, but at the same time, it's really given companies an opportunity to say we have. We have a single opportunity here to do something that we will probably never see again. What I mean by that is now we have the lowest level of risk that our company will will observe, probably over our career lifetimes. And what I mean by that is just imagine if you're a commercial airline, you have the lowest passenger loads right now, If >>you need >>to change core operational systems, now is the time to do it. Not when you're operating at Peak, and this is playing out right now across all of the different industries, and that's a huge opportunity. >>That's a great point. And you're right. There are opportunities. There are pluses that are coming out of this. If you think of the I love the opportunity that you just described it, there's the lowest risk right now for, say, an airline to be able to rapidly pivot. Of course, one of the things that you know what happened during that is the customers that consumers would. We react in many different ways. The customer experience is almost under on even higher resolution microscope. The last seven months talk to me about what some of the things you're seeing, how companies need to react to preserve customer relationships because brand is at stake. >>Yeah, you're absolutely right. I mean, Brand is at stake. The livelihood of your company is at stake, and at the core of that is technology and data. So all we have to do to answer that question is really look in the mirror. Look at how we have changed. Look at how our buying habits have changed. Now that's more of a B two C relationship. But even in the B two b space, those relationships have changed demonstrably. And so we have to think about how our customers air needing to change and how their business is changing, and then how we can accommodate that. And so what that means is we have to tap into data whether it's on the customer experience side or the business operation side of it. We have to tap into that data and use it in a more meaningful way than we ever have in the past. We have to remain more flexible. We have toe leverage it in ways that that we can do things and change on a moments notice. And that's something that we generally haven't architected our organizations or or our technology architectures for, for that matter. But now is the time to do it, and we have to be in touch with our customers in order to do it so again comes back to data, comes back to technology and architectures. Flexibility is the key here. >>I think consumers are far more demanding in the last seven months just because we have this expectation set for the last few years that we could go on Amazon to get anything we want. Anytime we could go on Netflix and watch any movie from any number of years ago anytime we want. And so when this happened and people were so used thio that speed of delivery and things were delayed, I just started seeing much more uproar from the consumer. I thought, Man, we've been conditioned for so long, but one of things I'm curious about when you're talking to the C suite is budget shifting. I mean, we know companies, some of them those enterprises that are in good shape have d our plans. They have business continuity plans. Probably. Nobody had a pandemic plan. So how do you help advise these enterprises to shift budget rapidly enough to be able thio implement the technologies that can harness insights from that data to drive a stupid earlier differentiated customer experience? >>Yeah, so let's kind of break that a part of it and unpack it. So on the pandemic, planning companies did have pandemic planning. I mean, 15 years ago, when I was leading I t. At Stanford University, we had a pandemic response plan that went with R D. R and B C plans. I think that most folks, though, they they struggled through that D R and B C process, and they never get to the pandemic end of that spectrum. And that's a really hard problem to solve for but kind of getting back to how that customer has changed and how we can accommodate that. Changed your right. Budgets have changed, technology has changed, and so we have to think about how we do things differently. I think from a budgetary standpoint, one of the first things we saw is just extreme spending and productivity tools, right? More laptops, more screens, more webcams, Mawr lights. Who would have thought that I would have needed Ah, lighting system for my home, right? Maybe a laptop was enough. We have to think about how our processes air different. How do we push patches out to people's computers out at their home? You know, that may sound somewhat trivial, but the reality is it's really hard to do because you're dealing with all kinds of different bandwidth requirements. Andi. It's not just me in the house. I have my wife, who is an executive on on video all day. I've got two teenage kids when in high school, when a middle school there on video all day. So we're taxing these networks within people's homes as well, in ways that we never have. And so all of these pieces kind of come together and cause us to rethink how we allocate our budgets within the I T organization. So the first thing is there was a lot of productivity tools that were being purchased. There was a lot of preservation of cash that companies kind of went into. How do we start to control, spend and kind of pull back on the reins? But the smart ones started to look at the opportunities to accelerate their innovation programs. And those are the folks that are really doing well right now. How do I start to use this opportunity again, not trying to suggest that the code 19 or the coronavirus is a great thing for us. But how do we start toe leverage that in the best way possible, and take advantage of it in such a way that it could benefit us on the long run? And this is where innovation and accelerating some of those changes really comes into play. And as I mentioned things like cloud artificial intelligence machine learning, leveraging data to understand your customers more intimately, being flexible to change your company's your business operations, how you engage with your customers, you know, instead of just a website, maybe you need thio move Mawr to a focus on a mobile device or mobile application, or vice versa. All of those start to come into play, but at the heart of it is data and data is what ultimately will drive the decisions down the path. >>So you talked about the work from home thing, and I kept thinking of the proliferation of endpoint devices at the edge you're right. How many of us tried to get a webcam months ago and couldn't? Because suddenly that became a tool that was essential for folks to continue their operations and and maintain their productivity. How are enterprises, in your opinion this year addressing the edge and understanding how they need to be able to take advantage of that? But also understand where all those devices are, to your point, pushing out patches, ensuring that there's a secure environment? What's their view of the edge? >>Yeah, the the edges incredibly complicated, and it's important to differentiate a couple of pieces here. So when you talk about the productivity devices, whether it's the laptops, the Webcams, the lighting, all of those I p connected components that we interface with, that's one aspect. And you're right. I mean, I can remember I t leaders that were telling their staff. Goto every office supply store, every big box store by every laptop keyboard, mouse, webcam you can get your hands on. I don't care what brand it is. I don't care what specs are. Just do it because they didn't have access to those. Resource is for their entire employee base. And so That's one aspect. And that's a whole another, um, consideration as we start to think about cybersecurity, and now we're talking about non non traditional, um, platforms that are in the environment in the enterprise environment, versus your standard kind of image and standard product. But aside from that, we also have data coming from the edge, whether it's from sensors and video cameras and other types of devices that we have to bring into the mix, too. Right understanding that Tim Crawford has now entered into a store and that Tim Crawford has now left the store but hasn't purchased. But we know that Tim Crawford is a loyal customer based on his loyalty at how do we start to gauge that? Or how do we start to gauge the number of folks that are moving through a given area and especially in light of coronavirus? I mean, there there's some aspect that air coming up where companies are starting to look at. How do we measure the number of people that are in a given room and do that in an automated way, and maybe alert people to say, Hey, you know, is there a way you can stand out or reminds people gently, Um, you know, keep your distance, make sure you're wearing your mask, etcetera. There are a lot of ways that edge comes into play, but at the core of this is data. And so that's where it becomes really important to understand that the amount of data, not just the sources of data but the amount of data that we're gonna have to deal with and we're dealing with today at the edge is just incredible. And it's on Lee going to grow exponentially. And so it's important to understand that your customer engagement pieces are going to be a source of data as well as a consumer of data. Let's not forget that people with the edge they need to be able to consume data and not in a batch way, they need to be able to do it in real time, which then gets back to flexibility and speed and algorithms at the edge. But understanding all of that data at the edge, being able to analyze it, whether it's for business operations or customer engagement and then providing that through the continuum from edge to cloud is really, really critical. It's a very complicated problem to solve for, but every single enterprise across the industries is already heading down this path. >>You're right. It is an incredibly complex problem to solve. So here we are, virtually at Dell Technologies World 2020. Talk to me about Dell Technologies Landscape. How do you think it fits into addressing some of these challenges in the complexities that you just talked >>about? Yeah, you know, Dell has been on this path for a while. I mean, through the partnerships through the ecosystem that Don't has is well as their portfolio of hardware and software. I think Della's position really well to be able to address both the customer experience as well as the business operations. The key here is you have to think about edge to Klag. You have to think about data. You have to think about analytics and then, from a nightie perspective, how do you start toe layer in the management and the algorithms on top of that to be able to manage that landscape? Because that landscape is getting increasingly more complicated on I think Dell starting to come up with the software pieces that actually make the connection between back those points on the continuum, and that's a really important piece here for I t. Organizations to understand. I think, you know, with the new announcements around Apex, I think that will will shine really well for dealt. I think if you look at the partnerships and the ecosystem and the connections that they're making both with public cloud providers as well as with other partners in the ecosystem, I think that's, ah, positive place. But the place that I would actually watch most closely with Dell is what is that? Software Later, They already have a really good hardware platform to build on top of them that portfolio. What is that software layer that connects or create that connective tissue for them? And I think that's the big piece, and I think we're going to hear more of that. Here is Dell Technologies World. >>I'm also curious. I read your posts and and listen to podcasts on the difference between a traditional CEO and a transformational CEO. If I think is such an important thing to discuss because part of that is cultural right, it's it's got, too. It's not just about a company being able to transform It's got to be the person with the right mindset with that flexible, agile mindset. But your advice to businesses who are still pivoting or pivoting multiple times and trying to become not just a survivor but a winner of tomorrow. From a cultural perspective, >>you know, culture is the hardest thing to change. It really is. You know, the technology is easy. Relatively speaking. We can swap out one technology for another. It's relatively straightforward to dio, and it always has been, Um, the real challenge here is how do you create the underpinnings and the foundation for that culture? What I mean by that is changing, like within the I T organization, and it starts with the CEO, but then also kind of branches out into the rest of the I T organization to the most junior levels of the I T staff. What I mean by that is you have to look at how you become less text centric and more business centric. And so my post about the change in the differentiation from the traditional CEO to transformational CEO is just about that. It's about how do you start to make that shift where you start focusing on business first and that ultimately becomes our context regardless of what organization you're in. I t marketing HR engineering product support. It doesn't matter. You start with the business context and then you flow down from that. And so part of that move to being the transformational CEO or the transformational organization is really shifting to be more business focused. And using that is your North Star and then from it, you start to understand how the different technology pieces fit into place. And so, for example, a traditional CEO would typically focus on business operations. More of the back end pieces, right? The underlying technology, the back end systems. But the transformational CEO is going to be incredibly more customer focused. They're actually gonna be out with the customer they're going to be doing right alongs will probably not right now in the absence of Corona virus, but they're going to be engaging firsthand with customers, understanding firsthand what they're dealing with, understanding what the business challenges are that they're having and then being able to translate that into where does technology fit in? And where does technology not fit in kind of going back to what I was saying earlier around the importance of customer experience. And so that's really where this transformational bent comes from. Is shifting from just being back office focused to moving toward understanding that front office or that customer focus. And that's the rial differentiator for companies. Here is when you can start to think about how tech enology plays. That's central role in changing your business. That's gold. That's absolute gold. >>Gold, but hard, hard Thio Dig for that gold. One last question, Tim, You talked about a number of the opportunities that Cove in 19 is bringing. And I completely agree with you. Not that any of us loves being stuck at home and isolated in the same walls, but there are opportunities that are going to come. We're gonna learn things from that if we're open minded and and flexible and agile in our thinking. But other things that that you think we haven't heard about yet that you see as a kind of maybe some north stars to come. >>Yeah, there there are a couple things that I think we generally are missing, and I kind of touched on one of from earlier, which is how do you start, Thio, accelerate some of that innovation now. And so you know, I used the airplane example of you know you've got the lowest passenger loads. Now is the time to implement that innovative technology. Because if something does go wrong, if something does go wrong, the impact to your customers is relatively low. And quite frankly, a lot of folks Aer giving out hall passes to say, You know what we understand Coronaviruses. Hard for all of us. Something went sideways here. Fine, go fix it, go fix it and then come back to us. And so I think customers are definitely more apt to hand out that whole past now versus when, where it full capacity. And that kind of leads me to. The second piece that I think people are missing is that companies are organized and built around operating efficiently at 80% utilization or 100% utilization. What I mean by that is they tend not to make money until they get to that level of utilization. But yet in the coronavirus era, what if we had a company that was organized in such a way that it could be profitable at 25% utilization that would cause us to think very differently about how we use technology, how we're able to scale technology, how we leverage data were thinking in more meaningful ways about the customer. And so what that means is that it gives us the ability to scale our business up and down. God forbid, if we ever run into another situation like this ever again in our lifetimes. But if we ever hit another patch of negativity around economic growth, it allows a company to be able to scale down and back up as needed for their customers. And that's another piece. I don't think people are thinking about their thinking about the big picture they're thinking about. How do we build for growth? But what they're not thinking about is what if we need to scale this back, and I think a great example of where this touches in we're here. A Dell Technologies world is Look at the way that companies are starting to shift towards this as a service model, right? We're able to scale technology up use it is, we need it, give it back when we don't need it. And so when you start to move into that more flexible mode. I talked about flexibility in other ways earlier, but as you start to get into a different consumption boat, it gives you a lot of opportunity to do a lot of different things in a lot of different ways. And that's ultimately what companies need to be thinking about today. >>Sounds like it's going to be some of the big differentiators between the winners and the losers of tomorrow. Will Tim, Thank you for joining us on the Cube virtually from your home. It's not a Dell Technologies world on the Cube without talking to you, Tim. And I appreciate we all appreciate your time and the insight that you shared today. >>Thanks, Lisa. Thanks for having me on the Cube. >>Our pleasure for Tim Crawford. I'm Lisa Martin. You're watching the cubes. Coverage of Dell Technologies, World 2020

>>from around the globe. It's the Cube with digital coverage of Dell Technologies. World Digital Experience Brought to You by Dell Technologies. Hello, everyone, and welcome Back to the cubes. Continuing coverage of Del Tech World 2020. This is David Dante With Me is Tom Sweet. He's the EVP and chief financial officer of Dell Technologies. Tom is great to see you. Thanks for coming on The Virtual Cube. >>Dave is always good to see you. And thanks for having me. It's always good to have a conversation with you. >>I actually don't think I've spent a lot of time talking to folks from jail, but I don't think you and I have talked since the pandemic hit. So you know, what's the macro picture? You know, you and I was usually start with the big picture. And, of course, the impact of the pandemic and kind of the big waves that you're seeing out. There may be some of the changes that you're navigating >>Well, you know, it's it's been uninterested near David's. You and I both know, right, and so we way clearly did a number of tactical actions as we worked our way through the pandemic in the early days to make sure our team members could work and we're safe and then pivoted to making sure we could, you know, help our customers and get them up in productive from a work from home perspective, you know? And so it's and then we've evolved into Then, you know, how do you think your way through? Um, you know, what's the what's the work? How do you work your way through? What do you look like on the other end? And so we've been spending a lot of time thinking about investments. Where do we put Capital Toe work to position the organization for success? Post Cobain, whenever that might be, by the way, and and so that's been the focus in, you know, really spending a lot of time on investment areas. The whole macro dynamic has been interesting is, you know, way went through this huge trough in Q two in terms of GDP and global GDP. You know, we're working our way out of that at a macro level. It's very interesting as you go across the globe and look at the various countries and regions and how they're recovering at very different paces. You know, the business has been uninterested in business in terms of what we do, and our PC business has been quite strong. And we've seen a big shift with the work from home and learn from home dynamics with strong demand from government and education. Three infrastructure business R I s G business has been a bit softer, just a zoo Companies have pivoted, but all in all, I think we're working our way through it. I e think the actions we took to preserve liquidity and protect the P and L early in the pandemic have paid off for us. And, uh, we're now focused on how do we position Post Post when we get through this whole cova dynamic? >>You know, way both seen a couple of pretty severe downturns. I think about the dot com downturn and then the financial crisis. I'm actually kind of surprised and impressed the way that that not just our industry, but all industries have worked through this. I guess in hindsight, that shouldn't be surprising given the pace of technology. But I remember those two that I just mentioned. People were flat footed. I remember Ed Zander joking when he was a son. Anybody wanna buy a server? And it was just there was business wasn't being transacted. And that's different this time around, Uh, industries have have responded and you know, technology, of course, is is at the heart of that. But were you surprised at all by the by the pace of I don't want to say recovery, but resiliency, I guess >>a little bit to be honest day. I mean I mean, it does highlight the fact that at the heart of what most companies are you know are doing these days is technology and how they evolve their business model, how how they interact with their customers. And so clearly, if you you think all the way back with our industry date back to the early two thousands and we had a with the bump with the dot com bust and people shut down, I t spending, you know. And now I don't think you can really do that if you think about where you need to be from a business model perspective. So I think there's been a maturation and a recognition that technology plays a key role. But But it has been surprising about how fast it's pivoted. To be honest with you in the sense of, you know, I think of the very distinct cycles is would come through the Coba dynamic. Big PC demand early innings. You know, we saw some recovering the I S G spend in Q two in our quarter second quarter a little bit better than Q one. You know, as companies readjusted spin eso, it's The organizations across in our customer base have have adjusted quite well. Clearly, there is vertical implications. If you're in the airline industry or some of the hospitality, you're you're being a bit more cautious, right? But all in all, it's been a It's been an interesting journey for all of us. >>Yeah, I mean, at the height of the pandemic, you saw, you know, some people taking actions. Obviously, they were freezing I t projects. They were starting to do layoffs or freezing new hires. That's moderated based on the data that we've seen. I just published the other day that we're starting to see some, you know, slow thawing of that tight grip on I t. What are you seeing? Both externally and maybe as the CFO. What are you doing internally? Well, >>if you talk to my CEO should probably give you a different answer day that I'm about to give you because you know, I'm a extraordinarily balanced guy in my point of view, right? But, you know, look, I think externally we're seeing targeted investments happening by customers that are moving projects forward. I think there's a bit of caution, and I do think this whole evolution off. How do customers want to consume? I t is evolving, you know. Is it a cat expand? Is it a Is it a financing structure? Is it a as a service and consumption model type? You know, So those three economic models around I t. Or changing and evolving. But I think overall, what we've seen is some level off, you know, cautious, you know, cautiousness. But yet, you know, targeted and investment with our customers and in an internally, Quite frankly, we're continuing to invest. We have capabilities that we need to evolve. You know, we're working. We're very focused on transformational projects that enable our customers to do business with us easier. On the other hand, we're being very tight around. What do I need to do from, You know, some of those old run the business types spend and how doe I streamline that while still supporting the business properly. So it's a bit of a balance right now. >>Yeah, and you obviously have the advantage of large portfolio parts of your portfolio exposed. Like you said, some of the on Prem stuff. But then you've got the certainly the laptop in the work from home shift. A couple of questions there. One is, first of all, you know, Della was largely a larger work from home culture than the average. The average Let's say the average is on a 15 to 20% of employees work from home. You're probably higher than that. And and But now we're seeing that people are expecting at least double that long term are gonna work from home. So you were, you know, somewhat, maybe more prepared than than most. But then again, you have that tailwind on one side of your business. Your supply chain did very well, unlike some of your competitors that we saw early in the pandemic, you know? So it seems like you've managed that pretty well. Maybe your thoughts. >>Yeah. Okay. We do have a culture that provided flexibility. We've been on this journey for roughly 10 years about having our people have some flexibility where they work. And so we had roughly 20 25,000 people working remotely, or some are in some hybrid fashion before the pandemic. You know, obviously, right now, 90% of our workforce is is remote. We think, you know, post pandemic, you know that it's gonna look like something like, you know, you know, 45 50% of the organization is probably gonna be in some sort of hybrid or remote setting. You know, that's the feedback our team members are giving us. And, uh and so you know, we have been fortunate to be able to have the culture that pivoted quite frank quite quickly, I should say, as we worked our way through this from a supply chain perspective Look our supply chain has done. Team has done a terrific job on sort of navigating the barriers and the challenges put up by a covert 19 crisis. But I'll go further back that if you and I talked about this before, think about what's happened with our supply chain and global supply chains over the last couple of years and whether it's the US China dynamic and how do you work your way through that? You know, and how do you ensure continuity of supply for our customers? And so that that teams done a great job? You know, we have long term relationships with many of our key suppliers, which has been helpful. And, you know, as you know, we have one of the largest, if not the largest, technology by in the industry. So it has helped us in terms of making sure we have capability and availability for custom. >>Let's talk a little bit about some of the strategy and the value levers that you guys talk about. You've always hit on industry consolidation, integration delivering. You've seen the 13 D with the movie you're gonna make with VM Ware. How have things changed? There has a pandemic changed your thinking at all, And how are you doing in terms of those turning those knobs? >>You know, first, it has not changed our thinking in the sense of some of those keep long term value creation activities we've been focused on and platforms we've been focused on around Hey, you know, we know that in the where we where we sell where we compete, that the industry is not a, you know, a rapidly growing industry. And so you grow organically by consolidation and share gain, and that's what we've been focused on. You couple that with the innovation engine we have with Dell Technologies. And, uh, including our, you know, way need to including that VM ware. You know, we've got a new, extraordinary patent portfolio and we've got these what we think are unique solutions and capability. So we're pushing hard on the innovation engine, and then you couple that with the capital work we've been doing around, how do you delivering the balance sheet? Getting the company reposition back towards investment grade. And we've made really good progress on that. You know will pay down $5.5 billion of debt this year, which will again position us closer to those investment grade like metrics. And so those those platforms are pillars, if you will, of our strategy, haven't changed. But in addition to that, you know, we are looking at where do you grow and how do you continue to grow at a pace, perhaps at GDP GDP plus, which is sort of where we think you know, is the long term framework we've got to be thinking about. So that's where you get into these adjacency is like, How do you How do you further driving a multi cloud hybrid cloud? How do you think about the opportunity with Telco, with five G roll out that's happening across the globe and the investment that's going to go into that the whole edge computing the edge cloud is of interest to us. And so there's a number of these emerging areas that we think are pretty interesting, and their adjacent and fit nicely into what we do is a, you know is, quite frankly, that essential infrastructure company. So that's the focus we've been driving about. How do we set up both continue on our core mission of consolidation, innovation and delivering as well as how do you set up some of these growth vectors as we move forward? >>Well, in one of the other levers you filed the 13 d, I don't know what you can share with us. Some of it gets confused. How much is fact sometimes and how much is speculation. But, I mean, I've said that it appears that one of the things that you're looking at is creating an equilibrium in terms of the balance sheets of both companies. Uh, keep getting them both that investment grade. What can you tell us about what you're thinking there? >>Yeah, I look, you know, obviously we did file a 13 D in mid July, which essentially said we were contemplating whether you know, a potential spin of our 81% ownership interest out to the Dell Technology shareholders. And so we're continuing to work with the VM Ware team on, you know, what does that look like with a couple of fundamental principles, which is Hey, you know, we have both benefited from this better together story. And so how do we keep that differentiation in some type of a long term operating agreement or operating framework? But at the same point in time, you know, you know, do the potentially look at it spend that unlocks value for both sets of shareholders of both companies, right? VM ware gets additional flexibility from a from a strategic perspective, they don't have the Dell balance sheet. Dell Technologies balance sheets sitting on top of them from the Dell Technologies perspective. You know, we presumably as part of this would be some type of a dividend stream. But by being were out to its share. What shareholders? We get the opportunity to accelerate our delivering story and get back closer to investment grade or right at investment grade, depending upon how this all works out. So we think there's a number of really interesting value levers here, right at the same point in time, wanting to protect what's been really good about the relationship in the way we've gone to market, the way we've innovated. And so that's the balance were walking right now. And you know there's work to do is we work with being where to see. If this makes sense, can we get it done? But But we're early innings and and we may end up not doing anything honestly, But I mean, that's that's sort of the thinking that we're working through right now. >>Well, it's an interesting thought exercise, if nothing else. And so e I look at it when when you combine del in the M. C when you did the acquisition. Now you became VM Ware's most important partner. Just even if it's in terms of revenue because you've got a massive distribution channel. So there's there's that inherent value in that relationship, independent of anything else. The flip side of that is VM Ware has been, you know, awesome acquire of companies. Uh, you know, inorganic r and D, if you will. And some pretty cool R and D A Z Well, so it's gonna be really interesting toe watch how that plays out. I think we wait and see. That's a comment, you know, >>we're working through it and we'll see where we end up. But, you know, you've highlighted a couple of great points. I mean, our, you know, our go to market reach, you know, it is extraordinary. And VM Ware has benefited from that. We've benefited from the VM Ware relationship with some of their technologies is we've integrated those into our combined solution. So it's been a it's been a win win, and that's the balance of how do you keep that, Aziz. Well, as you know, quite frankly, provide some value back to your shareholders. >>Well, we've seen that not just the the uplift of the market. But clearly the speculation has caused some unlocking of value and may bring some others from the sidelines. But I wanted to ask you about I've been talking about this automation mandate. I think there was one. Certainly. There was one before the pandemic, and now it's even accentuated. Um, can you talk a little bit about how you're applying automation, thio your business and maybe what you're seeing with customers? How that could affect, you know, the long term productivity of your business? Maybe new ways to work. What can you tell us there? >>Yeah, Look, I mean, we we have a pretty significant automation agenda within Dell Technologies, both from an internal perspective as well as the automation and a I am and machine learning capabilities were embedding into our solutions to help our customers Dr their automation agendas. Internally, what we've been focused on is how do I simplify? How do I take complexity out? You know, how doe I providing a richer mawr interactive experience with our customers? How doe I lean into service needs service capabilities, all those areas that are ripe for automation and my finance organization alone Right now, I think I have over 125 automation projects going right now is we? We look at how we simplify from a customer. Perspective is I go out and talk to customers. They're also doing much the same thing that we're doing, which is how did they take complexity out of their process? How do they streamline? How are they? How do they drive? Responsiveness and customer, uh, you know, customer experience at a much higher level. And so it's all you know. It's all war walking down this pathway of process simplification, automation, which includes technology, investment, obviously which is, you know, helpful from our perspective. And so there's a agenda out there is Aziz. We talked with customers in terms of in a commonality as we talked with customers. And then the other point I'd give you Dave, is that just as you think about, you know, as I talked to my peers out in the industry, I mean, many of us are driving automation agendas. Have a lot of that, you know, with focused on taking touch out, enrichment of job and capabilities, enrichment of, you know, we gotta build skill sets to drive that. So there is a big theme across the industry in this area, and I think it's gonna do nothing but accelerate. Quite frankly, Aziz, we work our way forward. >>Yeah, I've talked to a bunch of customers in this topic, and it seems to be sort of three paths. Actually, one path is there's. There's a lot of low hanging fruit and easy wins. And but the problem with that is a lot of times it's just paving the cow path with automation. You know, the other is you got to do the hard work of really digging into the process and the third that I've seen, which is kind of interesting to which is kind of what you're alluding to is your free up. You know, some of the mundane tasks, and you let the people who really understand the process rethink that process. And then you go into a deeper automation agenda, and that seems toe that will turn millions into billions. >>That's the value. Add their game. I mean, it's that third framework that you laid out, which is you have to do the work around process. But then again, how doe I then you know over time is I is. I have the experts help us on the automation capabilities. Once we've identified, what are the appropriate processes or functions to be automated? How do you then pivot resource tomb or higher value add activity across the organization and that Z when you when you do that, you unlock, I think, a terrific value creation opportunity, which we're very focused on. >>And I know there's always a big concern about jobs with automation. But the reality is, if you look at the data from the U. S. And Europe of the last couple of decades, the productivity trend is clear. It's it's gone down. And if you think about the big problems that we face in the world, whether it's climate change, your national debt or health care, you know you know hunger, you just can't throw people at that problem. You gotta have a combinations of people in machines. And so well, there may be, you know, a short term impact. I'm kind of an optimist. I know you are a swell >>No, it Zuno. Obviously, this is a tough time for a lot of businesses and customers. As we work our way through the pandemic and and including, you know, and and some have adjusted their workforce, you know, and part of its from the economic reality. But part of it is also a skill set. Dynamic is a reshaping workforce. And but I do think automation plays a key role. And how do you enable skill sets to evolve and get again re allocated Thio other value creation activity. So there is, you know, unfortunately, are probably gonna be some short term disruptions in certain areas. But on the other hand, if you think about the long term gain and the productivity gains that we all need to drive, you know you can't do it without automation and thinking your way through streamlining and taking complexity out of the organization. >>So my last question has come back the productivity We're talking about work from home. Do you feel like you've had a bump in productivity? As a result? Maybe there was some short term disruption. But you know, what's your what's your data or your gut say, in terms of the impact on your organization and then maybe on your customers as well in terms of the program. So >>I think it's been fairly similar between us and our customers. I waas concerned when we went to a work from home back in March that we were gonna lose productivity and, you know, and I thought it was gonna be a productivity drain, you know, a czar. Team members were juggling work and their family dynamics and situation is in. Obviously in the middle of that are in the early innings of this covert crisis. What we have seen, in fact, is actually, we've seen productivity improved pre Koba to where we are today. And I think a lot of that has to do with the fact that we're giving our team members one flexibility on how they do their job. But we're giving them time back there, and they're not commuting. There's less meetings that are consuming time, you know, and the responsiveness in the capabilities of the order such that we're moving through decisions and projects. I think, at a faster pace, quite frankly. And so it's been an interesting and, I think to me a bit of a surprising result from what we've seen as I talked to customers and I'm the executive sponsor on a number of extraordinary, very large multinational customers. It's pretty much the same response. You know, the similar experience, right, that they've seen similar results that we have. So now what you don't want this to be is that you're doing it on the backs of the team members working 15 or 16 hours a day. You've got to find the right balance. But the fact that we're giving them flexibility to jump out during the middle of Daito tend to some family members or help with, you know, their Children's learning. Then they're back in maybe a little bit later during the day. I mean, I do think that we've been able to a culture that's pretty interesting that is paying dividends for us right now. >>Yeah, it's ironic that this hit at the beginning of of 2020 it's clear that it's gonna be a different decade than it was last decade, which I guess every decade is Tom Tom Sweet. It was great to have you on the Cube. Thanks so much. Always a pleasure speaking with you. >>Always, always great to see you. Thanks for having me. >>You're welcome. And thank you for watching everybody says Dave Volonte, you're watching our coverage, the cubes coverage of del Tech World 2020. But right back after this short break

from the silicon angle media office in Boston Massachusetts it's the queue now here's your host David on tape hello everyone and welcome to this week's episode of the cube insights powered by ETR you know this past week we attended the Dell technologies Industry Analysts event and in this breaking analysis I want to summarize the key takeaways and discuss some of the macro trends in the industry that are affecting Dell I'll also discuss some of the fundamental assumptions that Dell is making in its operating model and I'll talk about some of the challenges that I see for the company going forward and hopefully what is a frank manner now let me start with the event itself it was held in Austin Texas and it's clear that Austin Texas is becoming the epicenter of Dell post-acquisition of EMC it's shifting strongly back to Texas while the legacy of EMC remains what is the most critical part of Dells portfolio thanks to vmware the energy of Dell emanates from its founder Michael Dell the event was attended by about 250 press and analysts over a two-day period it was very well run with strong levels of executive access which is always very important to the analysts and lots of transparency and I thought clarity of message now the number one takeaway on this is Dell in four years the company has gone from irrelevance to a dominant and highly relevant player in the enterprise tech especially the CIOs and it's one of the most amazing transformations of a company that personally I've ever seen and I've seen several there were four other key takeaways for me that I'll show on this first slide of Alex if you bring it up first Michael Dell has put forth a set of moonshot goals for 2030 let me give you some examples by 2030 Dell says that for every product that they sell they're going to recycle an equivalent product by 2030 50 percent of the global workforce of Dell will be women and 40 percent of the managers of people will be women 25 percent of the u.s. workforce will be either Hispanic or African now most tech stories today are negative and this is a great positive message I'm not gonna spend a lot of time on this because in there's much more that Dell laid out but kudos for Dell to make for making these initiatives a priority you know particularly the women in tech and the diversity in the minorities I think it's excellent the second takeaway is Dell for Dell is the Dell is being driven by Jeff Clark and this guy is on a mission to simplify the portfolio Dell claims its reduced its product portfolio from 88 platforms down to 20 of that power platforms that powers a new brand now the reality is Dell really hasn't deprecated 68 products many if not most are still around but the RMD energy is all going into the new stuff now the third takeaway was a big announcement around power one power one is Dells new platform for the next generation of converged infrastructure now a lot of people might look at this and say well this is converged infrastructure without Cisco well it is actually and while that's true power one according to Dell is a much more of a developer friendly API and micro services based platform with a lot of automation software built in it's essentially going to be Dells go forward platform for customers that don't want to roll their own infrastructure the expectation or inference that that we took away was that power one will integrate most if not all future storage networking and server products Adela's positioning this as a complement to HCI or hyper-converged infrastructure which comprises VX rail VX flex which is the scale i/o and of course the OEM Nutanix so you can see Dell still got some work to do in terms of streamlining its portfolio and here's my lock of the day is that they'll be phasing out the Nutanix OEM relationship you could take that one to the bank now the fourth takeaway was the Dells cloud strategy is really coming into focus is it a winning strategy I honestly can't say at this point but in my view it's the only option that Dell has and and because of VMware they have a fighting chance Dell is in a much better position than other suppliers that that rely on you know Prem install bases because of VMware VMware is not only Dells piggy bank it is but it also gives Dell strategic levers with with CIOs and partners like for instance AWS now later on I'm going to share some ETR data that will give you some context but the bottom line is that the cloud is having an impact on everyone's business including Dells and I mean let me add the Dells cloud strategy in addition to relying on VMware is completely dependent on the assumptions that the world is going to be hybrid which is a good assumption and that multi cloud is going to evolve from what today I've said as a symptom of multi-vendor to a fundamental priority for CIOs again not a bad assumption but because of VMware adele has more than a fighting chance to compete for share now finally that that adele is going to be able to capitalize on the edge personally I think this is the biggest wildcard what I do think is that developers are going to be a crucial part of the edge and at this point in time Dell and VMware are not really top of mine in the developer community now the event involved keynotes from Michael Dell and other execs including including the CFO it was Tom sweet and and many other breakout sessions you know the normal one-on-ones as well now I don't have time to go into all this but there are some things that I want to share about Jeff Clark's presentation specifically he's the person that took over from David David Gordon a couple years ago he's been at Dell for more than 30 years and he was there when I think it was called pcs limited so a long time he's a trusted operational executive of Michael Dell's I'm very impressed with this guy he doesn't use a cheap prompter when he talks and in fact he has some notes but he's got these facts and figures at the in his head that he rattles off like a staccato pace he's an OBS exec and so let me summarize the his discussion now to bring up this slide the the big picture is the data sphere is gonna grow to 175 zettabytes and half of that is going to be created at the edge of that 30% is gonna require real-time processing now he talked about the mandate for simplification and he called this staying the easy button now in QA I asked him like why did it take you guys so long to figure out something so obvious which is kind of a snarky analyst question not his credit he didn't throw his predecessors under the bus rather what he did is he focused on the future and sit he said you know they shared the figures that I stated earlier about you know taking 88 platforms down to 20 and he focused on the priorities of the future so he didn't say it but I'm gonna say it for him he inherited a very messy portfolio and he had to clean up the crime scene me tell let me tell you what a buyer said about EMC back in 2018 this is from the ETR Venn survey when they go out and they probe you know specific customers and they talk to them this guy says NetApp has done a really good job of advertising and positioning itself within the cloud and within data centers themselves they've got a broad portfolio and I don't want to make comments about NetApp but so just I'm not sure I agree with all this but okay come back to his statements and and they've they've integrated fairly well here's what's relevant what he said was EMC on the other hand is not as well integrated they've got a broad portfolio but it's not necessarily - easy easy to pick and choose from the different categories okay so I agree with that you know look the mega launch product dujour worked for EMC it allowed them to carry on for another five or six years after the downturn but the lack of integration eventually caught up to that minute and it will always you know caught up catch up to large companies who rely on either lots of M&A or spinning out new products with lots of overlap anyway I digress the third thing that Clarke talked about was the big market size and the share gains pcs are a 200 billion dollar market servers are an 80 billion dollar market an external storage is a 26 billion dollar market Della's gains 600 basis points according to Clarke in pcs over the last six years 400 came in the last three years 375 basis points in storage in the past two years now of course what he didn't mention that was after a dismal performance a few years earlier so they had a pretty easy compare but my point is this when you talk to Michael Dell you talked to Tom sweet you talked to Jeff Clark and all the people folks in the company share gains are critical to Dells strategy especially because the cloud is taking so much share of wallet in the enterprise I'll make some other comments on that now finally there are two fundamental beliefs that dell has that i want to share with you one is that they can be a consolidator of these core markets in a downturn deltax they can hold their breath you know so to speak longer than the competitors and of course in an up market they think they can accelerate their leverage points which leads to the second belief that jeff clark talked about which is how dell will deliver differentiation and value so he decided four items there one is they got 40,000 direct sellers so they got a big go-to market presence they got 35,000 service professionals a 66 billion-dollar supply chain and then Dell financial services arm which you know forces Dell to carry a lot of debt but that debt throws off cash and it's not really part of Dells core debt from EMC acquisition now others have that too but but Dells got you know big presents there all right so I want to pivot to the ETR data and let's see how Dell looks in the spending survey and since market share is so important to Dell why don't we take a look at how they're doing so Alex this slide that I'm showing here what each er refers to as market share market share is defined by you TR as vendor citations in the survey excluding replacements so customers that are adding spending the same or spending more as spending less divided by the total number of respondents in the survey so it's a measure of how pervasive the vendor is in the data set what I'm showing in this slide is Dells market share and its three most important business lines namely VMware Delhi MC and Adele's laptop business and I'm showing this from the January 17 survey to October 19 now notice the survey sample overall is 960 for respondents and the three brands they show 800 and said six hundred and twenty two and three hundred and two shared ends within that 964 so there's two points one else doing pretty well I mean I'd say it's better than holding serve and as you can see it's steadily gaining now the second point is that look at the net scores here you know they're okay especially for vmware intel's laptop but Dell EMC for instance specifically their server and storage and networking business you know not so much so there's there's a mixed story here so let me make some comments on the macro and things that I've discussed with with ETR and and my narrative on demand overall some things that I've said you shared with you before as we've discussed in past breaking analyses spending is reverting back to pre eighteen levels but it's not falling off a cliff we're seeing fewer adoptions of new tech and more replacements of old tech so combine this with lower levels of spending and more citations overall we're seeing net score go down relative to previous surveys so here's what we think is happening there's less experimentation going on with the digital initiatives which started you know back in 2016 so you're seeing fewer adoptions of new tech as customers are start placing their bets and they're retiring leggy legacy systems that they were keeping on as a hedge and they're narrowing their spend on the new stuff and unplugging the stuff they don't need anymore and they're going at the serious production mode with the pocs so that means overall spending is softer it's not a disaster but it's lower than expected then coming into this year storage is on the back burner in a lot of accounts because of cloud and the big flash injection that I've talked about giving him more Headroom servers are really soft for Dell especially because they have a tough compared with previous with last year PC is actually pretty good all things being considered so where is the spending action well it's in the cloud now q how many vendors tell me that there's a big rebate repatriation trend happening ie people have cloud remorse and they're all moving back on pram not all but many M say it doesn't happen but at the macro-level its noise compared to the spending that's happening in the cloud just do the math all you got to do is look at AWS and Microsoft and what they report and compare it to any enterprise company that relies on on-prem selling I mean I don't want to argue about it you believe what you want but I would much prefer to look at the data so let's do that so here's a slide that shows ETR data on customer spending on the cloud so you got a AWS Azure and Google spenders and how their spending patterns have changed over time for dell emc servers so you got six hundred and thirty six cloud accounts 175 to 200 shared dell emc server accounts over the past three periods and yet net scores of 24% down to 16% so look at the gray bar versus the yellow bar gray is October 18 yellow is October 19 okay you get the picture the next slide is the same view for Dell EMC storage the gray bar is last year yellow bar is this year's survey so look at it 22% down to 5% that's not good so storage is getting hit by cloud and that's going to continue all right so let me conclude with some comments in general overall I like to tell strategy you know honestly without VMware I'm probably not gonna fly to Austin this week just being honest but with VMware Dell is far more important to our community so I pay more attention to it I haven't shared many thoughts on Dells financials but I think they have some upside here as they continue to pay down their debt by the way every five billion of dollars that they retire in debt it drops twenty five cents right to earnings per share Dell throws off a lot of cash it's a very well-run company they got an excellent management team we talked about their share gain lever they'll have a public cloud so they got to make on Prem as simple as possible and ideally is cloud like as they can you know the on-premise experience frankly is well behind that of the cloud but but cloud you know getting less simple and it's not cheap so on Prem in my view doesn't have to be exactly cloud it's just got to be good enough now Dell this week also refreshed its on demand pricing but it's good and it's obviously relevant to cloud not have time to go into all the detail but suffice to say that near-term there on-demand stuff it's it's going to be a small factor in their business but longer-term I think it's going to play in it's particularly to the cloud model Dell is also betting on hybrid and multi cloud they have to and but they're up against several competitors Microsoft is the is really strong in this space Microsoft's also a partner of course but you got IBM and Red Hat Cisco Google sort of and some others but VMware it gives Dell an advantage and that is the key the big hole that I see in Dell I'm going to come back to innovation you know Dell spends billions of dollars on R&D I think it's the numbers 20 billion over the last four years so that's good but you know innovation this industry is being delivered delivered by developers no those are the drivers and and it's they're taking advantage of data applying machine intelligence and cloud for scale and Dell is clearly well positioned for the data trend you know could partner for cloud it can certainly play an AI but what it lacks in my opinion is appeal to the developer community and just as Dell has become relevant to CIOs it needs this a similar type of relevance with the devs and that's a different ballgame so it's hopes are leaning on VMware and is of course its acquisition of pivotal but if I were Dell I would not sit back and wait for pivotal and VMware to figure it out here's what I would do if I were Dell I would deploy at least a thousand engineers they got twenty thousand engineers take a thousand or fifteen hundred them and point them toward developing open source tools and build applications and tools around all these hot emerging trends that we hear about multi-cloud multi cloud management edge all the innovations going on at edge autonomous vehicles etc AI workloads machine intelligence machine learning I would open-source that work and make a big commitment to the developer community big contributions and that would build hooks in from my hardware into these tools to make my hardware run better faster cheaper on these systems I want to thank my friend Peter burrows for forgiving me that idea but I think it's a great idea I think it's radical but it makes sense in this world that is really being driven by developers okay this is Dave Volante signing out from this episode of cube insights powered by ETR thanks for watching we'll see you next time

>>live from Orlando, Florida It's the cue covering Microsoft Ignite Brought to you by Cho He City >>Welcome back, everyone. And welcome to the cubes live coverage of Microsoft Ignite Here in Orlando, I'm your host, Rebecca Night, along with my co host Stew Minimum. We're joined by Nicholas Djerassi. Moto's He is a cloud computing evangelist at Red Hat. Thank you so much for coming on the Cube. It's a pleasure. Thank you. So tell us a little bit about what you do at Red Hat. >>So I work with a lot of red, have partners really trying to foster the ecosystem and build red have products and solutions that can actually be deployable, repeatable for different customers. So different verticals. Financial health care doesn't really matter. For the most part, I try and just focus on cloud computing and really just evangelizing a lot of our technologies that we have. >>Okay, so So what are the kinds of things you're doing here at ignite? >>So I've been spending a lot of time actually working with some of the partners, like a center IBM. We've been doing a bunch of different webinars a little bit of hands on workshops that kind of educating people about distributed computing edge computing on dhe some of the technologies that we've been working along with Microsoft. So, uh, co engineering of sequel server The man is service offering that we're doing with open shift, which is our enterprise great kubernetes platform along many other >>different things. So So, Nicholas, you know, it's been a couple of years now that we've gotten over some of the gas. Wait. Microsoft has not said that, you know, we're killing the penguins, you know, off on the side. I was in Boston for Red Hat Summit. Tatiana Della's up on stage there, you know, Red hat. You know he's not hiding at the show. So bring us inside. You know where customers deployments are happening where engineering efforts are working together. You know, we know we've been hearing for years red hats in all of the clouds and partnering all of the merit. So what? What, you know, different or special, about the Microsoft relationship? >>I mean, honestly, I think the relationship is just evolving and growing because our customers were asking for it right there, going towards hybrid and multi cloud type of strategies. They want to be able to take advantage of, you know, running rail within their own data. Centers were running rails specifically on top of Microsoft Azure, but they're also looking at other club service providers. I think it's gonna be mandated eventually at some point in time where customers are gonna start looking at diversification when it comes to running applications, wherever it makes sense, taking advantage of different you know, cloud end of service is different providers. So we've been getting a lot of time like understanding what their needs are and then trying to build the engineering to actually address those needs. I think a lot of that has really come from the co engineering that we have going on. So we have a red head engineer sitting alongside bikers, off engineers, spending a lot of time building things like the Windows distraction layer wsl things along those lines, All >>right, so I'll be a Q Khan in a couple of weeks and kubernetes still, a lot of people don't really understand where it fits Way have been saying in a Cuban eight is gonna be baked into every platform. Red hat, of course, is not really a major contributor but has a lot of customers on open shift. We had Microsoft, you know, this week, talking about as your arc is in preview. But you know, they're they're the David Taunton who does partnership, Engagement says. You know, this does not mean that we will not continue to partner with open shift in the best place to run open shift is on azure. It's the most secure. It's the best. So help us understand his toe. You know where this fits In the overall discussion of that multi hybrid cloud that we were talking about earlier. I >>think everybody wants kind of a single pane of glass for manageability. They want ability to actually look and see where their infrastructure is being deployed. One of the pitfalls of moving to the cloud is the fact that it's so easy to spend a resource is that a lot of times we lose track of where these resource is. Our or individuals leave companies, and when they leave, cos they leave behind a lot of leftover items and instances, and that becomes really costly over a period of time. Maybe not so bad if you have, you know, 100 or 500 instances. But when you talk to some of these enterprise customers that are running 110,000 instances and spending millions of dollars a month, it could get very costly. And not only that, but it could also be a security risk is well, >>so let's talk about security. What kinds of conversations are you having with regard to security and data protection at this conference? >>So you know, one of the biggest things that we've had a lot of customers asking about his redhead insights so ready in sizes away it's a smart management application that actually ties into looking at either workloads or configuration management. It could actually tell you if you have a drift. So, for example, let's say you install sequel server on well, and you miss configure it. You leave the admin account running on it, it can actually alert you and make recommendations for remediation. Or maybe in general, you're using you know, S E. Lennox is disabled. The things along those lines so insights can actually look into, uh, the operating system or the applications and tell you if there's miss configurations all right, >>a lot of discussion about developers here, You know, day to keynote was all about, you know, AP Dev And, like Sathya have been a lot of time talking about the citizen developer. Seems like that would be an intersection between what red hats doing in and Microsoft. >>Um, so I would say, you know, we're obviously very developer first focused right when we built things like Open Shift Way kind of. We're thinking about developers. Before you were thinking about operations, and later on, we actually had to build more of the operations aspects into it. Now, like, for example, in open shift, there's two different portals. There's one for the developer Focus and one for the I T admin focus with operations groups because they want to see what's going on. Developers don't really care specifically about seeing the distraction of where things are. They just want to deploy their code, get it out the door as quickly as they can, and they're really just not too concerned about the infrastructure component pieces. But all of these developers, they want to be ableto right there, applications right there code and deploy it essentially anywhere and everywhere and having the easiest process and We're really just trying to make that as simple as possible, like visual studio plug ins that we have for open shift, you know, Eclipse G and other things. So really, I mean, Red has always been very developer focused first, >>so does that seeing Microsoft Satya Nadella up on the stage talking about this developer first attitude that Microsoft is really embracing the developer. And, as you said at development for all that does seem like a bit of a cultural shift for Microsoft much more aligned with the red hat way and sort of open source. So are you talking about that within without your cut with your colleagues? That red hat, about the change that you've seen the evolution of Microsoft? >>Absolutely. I mean, if you look at, like Microsoft, the contributions that they're putting towards, like kubernetes or even contribution towards open shift, it's It's amazing, right? I mean, it's like the company's gonna complete 1 80 from the way that they used to be. There's so much more open the acquisition of Like Get Hub, for example, all these different changes, it's it's amazing. He's done amazing things with the company. I can't say enough positive things about all the wonderful things that he's done. So >>all right, so Nicholas Red Hat has an interesting position in the marketplace because you do partner with all of the clouds on the environment. While IBM is now the parent owner of Red Hat and they have a cloud, your customers touch all of them. I'm not gonna ask you to competitively analyze them. But when you're talking to customers that are choosing Azure, is there anything that calling out as to why they're choosing Microsoft where you know they have, you know, a advantage of the marketplace or what is drawing customers to them on then? Of course, redhead. With that, >>I think Microsoft is more advanced when it comes to artificial intelligence and machine learning. A, I and ML and computing. I think they're light years ahead of everyone else at this point in time. I think you know, Amazon and Google are kind of playing a little bit of catch up there, Um, and it's showing right. If you look at the power platform, for example, customers are embracing that. It's just it's fantastic looking at a lot of the changes that they've implemented and I think it's very complimentary toe the way that people are starting to build their applications. Moving towards distributed infrastructures, Micro Service's and then obviously cloud native service is as well >>in terms of the future will be. We are really just scratching the surface when it comes to to the cloud. What do you see 5 10 years from now in terms of growth rates and also in terms of the ways in which companies are using the cloud. >>So I kind of like Thio equate it towards, like, the progression that we've had with cars. I know it sounds so simple, but, you know, we went from steam engine to regular piston engines, and now we've gotten to a point where we have electric cars and there's gonna be self driving cars. I think we're gonna get to a point where code is gonna be autonomous in a sense, right self correcting ability to actually just write code and deploy it. Not really having to worry about that entire infrastructure layer. Everybody's calling it server lists. There's always gonna be a server per se, but I think we're gonna have a point where next 5 to 10 years that all of that is gonna be completely abstracted away. It's just gonna be focused on writing the code and machine learning is gonna help us actually evolve that code and make it run faster and make it run better. We're already seeing huge benefits. And when it comes to machine learning and the big data analytics and things on those lines, it's just natural progression. All right, >>love, you know what's top of mine from the customers that you're talking to Earth event. Any new learning is that you've had or, you know, things that have kind of caught your attention. >>I think the biggest thing, honestly, is really been them. The multi cloud Polly Cloud methodology that everybody seems to be embracing. It seems like every customer I'm talking to is looking at trying to avoid that vendor lock and per se, but still have that flexibility to deploy their applications wherever and still utilize cloud Native Service's without actually specifically having to, you know, go completely open source >>and one of the challenges there is every cloud. I need different skills to be able to do them. If I'm deploying it, it's the people and being able to do that. You know, we all lived through that era of trying to do multi vendor, and often it was challenges. So have we learned from what we've done in the past? Can multi cloud actually be more valuable to a company than the sum of its parts? >>I think so. And I think that's the reason why I, like Microsoft, is investing in art. For example, I think those methodologies way No multi clouds, tough. It's never gonna be easy. And so these companies need to start building in developing platforms for it. There needs to be be great if there were standard AP ice and such right, but they're never gonna do something along those lines. But I think the investments that they're putting forth now are gonna make Multiplied and Polly Cloud a lot easier in the future. And I think customers are asking for it. Customers ask for it, they're gonna build it. >>What does this mean for the workforce, though? In in terms of the kinds of candidates that cos they're going to hire because, as we said, it does require different skills and and different capabilities. So how what's your advice to the young computer scientists coming up in terms of what they should be learning. And then also, how do you think companies are making sensible of this? >>So I know from a company respectable. It's challenging a lot of companies. Especially, for example, I was talking to a very large financial institution, and they were saying that their biggest issue right now is hiring talented people to deal with Micro Service's kubernetes. Any time to hire someone, they end up getting poached by the big cloud companies. So you know, it's one of those things where people are gonna have to start diversifying their talents and look at the future. So I mean, obviously, Micro Service's are here. They're gonna continue to be here. I would say people should invest in that. But also look a server Lis, you know, I definitely think serverless these days towards the future. And then when it comes to like learning skills of multi club, I think cloud competing, that's just the number one growing in general. >>So since you didn't bring up server Lis, you know, today I hear serverless and most customers that I talked to that means a W s number two in the space probably is Microsoft, but there's efforts in to try to help, you know, give a little bit of open source and standardization there. Where's Red Hat? Stand on this. What do you see? What from Microsoft? What are you hearing from customers? >>Were heavily contribute all the different, you know, projects, trying to make server lists like easier to use and not so much specific vendors, Right? So whether that's, you know, Apache, spar or whatever you want to consider it to be, were trying to invest. Invest in those different types of technologies. I think the main issue we serve earless right now is we still don't really know how to utilize it effectively. And it's still kind of this gray area in a sense, right? It's cutting edge, bleeding edge emerging technologies. And it's just, in my opinion, it's not perfectly ready for prime time. But I think that's specifically because there's just not enough people that are actually invested in it. This point in time. So >>So what are you gonna take back with you when you head back to Phoenix from from this conference? What are the things that have sparked your interest the most. >>Gosh, I live, I would probably have to say, Really digging in deep on the Ark announcement. I think that's the thing that I'm most interested in, understanding how how we can actually contribute to that and maybe make that plug double for things like open Shift. You know, whether it's open shift on premise, open shit, running in the cloud on another, Well, architecture's, you know, things like insights. Being able to plug into that, I really see us trying to work with Microsoft to start building those things. >>Well, Nicholas, thank you so much for coming on. The cubit was really fabulous conversation. Thank you. I'm Rebecca Knight for Sue minimum. Stay tuned for more of the cubes. Live coverage from Microsoft ignite.

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue now Here's your host Day Volonte. >> Hello, everyone, this is David lot. They fresh fresh off the red eye from VM World 2019. And what I wanted to do was share with you some analysis that I've done with our friends at E. T. R. Enterprise Technology Research. We've begun introducing you to some of their data. They have this awesome database 4500 panel, a panel of 4500 end users end customers, and they periodically go out and do spending surveys. They've given me access to that spending data and what I wanted to do because because you had a number of companies announced this this quarter, I wanted to do a storage drill down so pure. Announced in late July, Del just announced yesterday late August. Netapp was mid August. HP was last week again late August, and IBM was mid July. So you have all these companies, some of which are pure plays like pure netapp. Others of you know, big systems companies on DSO. But nonetheless, I wanted to squint through the data and share with you the storage spending snapshot for the second half of 2019. So let's start with the macro. >> What you heard on the conference calls was some concern about the economy. There's no question that the tariffs are on people's minds, particularly those with large exposure exposure in China. I mean, Del obviously sells a lot of PCs in China, so they're very much concerned about that. IBM does a lot of business there, pure, really. 70% appears business roughly is North America, so they're not as exposed so But the macro is probably looks like about 2% GDP growth for the quarter i. D. C. Has the overall tech market growing at two ex GDP. Interestingly, a Gartner analyst told me in May on the Cube that there is no correlation between GDP and I t spend, which surprised me. Some people disagree with that, but But that surprised me. But nonetheless, we we still look at GDP and look at that ratio. Sometimes the other macro is component costs for years. For the storage business the last several years, NAND pricing has been a headwind. Supply has been down, it's kept prices up. It has kept all flash arrays more expensive relative to some of the spinning disc spread the brethren something that we thought would attenuate sooner. It finally has. Nan pricing is now a tailwind, so prices air coming down. What that does is it opens up new workloads that we're really kind of the domain of spinning disk before big data kind of workloads is an example. Not exclusively big data, but it just opens up more workloads for storage companies, particularly Flash Cos The other big macro we're seeing is people shifting to subscription models. They want to bring that cloud like model to the data wherever two lives on Prem in ah, hybrid environment in a public cloud and company storage companies trying to be that that data management plane across clouds, whether on prime it. And that's a That's a big deal for a lot of these companies. I'll talk a little bit more about that, so you're seeing this vision of a massively parallel, scalable distributed system play out >> where >> data stays where it lives. Edge on Prem Public Cloud and storage is really a key part of that. Obviously, that's where the data lives, but you're not seeing data move across clouds so much. What you are seeing is metadata, move and compute. Move to the data so that type of architecture is being set up. It's supported by architecture's, not the least of which are all flash, and so I want to get into it. >> Now I want to share with you some data on this slide. If you wouldn't mind bringing it up. Alex on spending momentum. So the title size spending moment of pure leads, the storage packs and what this shows is the vendor on the left hand side. And it essentially looks at the breakdown of the spending survey where e t r ask the buyers of the different companies products. What percent of the spending is going to go toward replacing? They're gonna replace the vendor. Are they gonna decrease? Spend. That's the bright red is replace. The sort of pinkish is decreased, the spending. The gray is flat. The sort of evergreen forest green is increase in the lime. Green is ad, so if you take the lime green in the forest, green ad and the grow on you subtract the rest. You get the net score, so the higher the net score, the better. you can see here that pure storage has the highest net score by far 48%. I'll show you some data later. That correlates to that when we pull out some of the data from the income statements. >> So this is Ah, the >> July 2019 spending intention surveys specifically asking relative to the second half what the spending intentions are. So this looks good for pure on again. I'll show you Cem, Cem Cem Income State income statement data that really affirms this Hewlett Packard Enterprise actually was pretty strong in the spending survey. Particularly nimble is growing HP Overall, the storage business was was down a little bit, I think, three points, but nimble was up 28%. So you're seeing some spending activity there. Netapp did not have a great quarter. They were down substantially. I'll show you that in a minute. On dhe, it looks like they've got some work to do. Deli M. C. I had a flat quarter. Dell has a such a huge install base. They're everywhere on DSO. Everybody wants a piece of their pie. Del. After the merger of the acquisition of the emcee, their storage share declined. They then bounce back. They had a much, much stronger year last year, and now it's sort of a dogfight with the rest. IBM IBM is in a major cycle shift. IBM storage businesses is heavily tied to its mainframe businesses. Mainframe business was way, way down, its overall systems. Business was down, even though power was up a little bit. But the mainframe is what drives the systems business, and it drags along a lot of storage. IBM has got a new mainframe announcement that it's got to get out. It's got a new high end storage announcement that it's got to get out, and it's really relying on that. So you can see here from the E T. R data, you know, pure way out ahead of the pack continues to gain share about over 1000 respondents to this. So a lot of shared accounts by shared accounts mean the number of accounts that that actually have some combination of multiple storage vendors. And so they were able to answer this 1068 respondents pure the clear winner here. Now let's put this into context. So the next slide I want to show you some of the key performance indicators from the June quarter off the income statements. >> So again you see, I get the vendor. The revenue for the quarter of the year to year growth for that quarter relative to last year. The gross margin in the free cash flow, just some of the key performance indicators that I'd like to look at. So look at pure Let's go, Let's go to the third column Look at growth pure 28% growth. Del flat 0% for this is just for storage. There's a storage growth. NETAPP down 16% end up in a bad quarter, HP down 3%. IBM down 21% Do due to the cycle that I discussed, You see the revenue, um, pure, growing very, very fast. But you know, from a small base or at 396 million versus compared that to Dell's 4.2 billion net APs 1,000,000,000 plus H p e. Almost a billion in IBM not nearly as large. And then look at the gross margin line. Pure is the industry's leading gross margin. It's just slightly above 69%. Dell is a blended that Asterix is a blended gross margin, so it includes PCs, servers, service's of V M wear, everything and, of course, storage. So now, when dehl was a public company before it went private, it's gross. Margins were in the high teens. So Del is in gross margin heaven with with both E, M C and V M wear now as part of its portfolio NetApp high gross margins of 67%. But that gross margin is largely driven by its gross margins from software and maintenance. And so that's a screen considerable contributor. Their product gross margins air in the mid fifties, kind of where I think E. M. C. Probably is these days. And when the emcee was a public company, it's gross. Margins were in the mid sixties, but then, as it was before, went private. I think it was dipping into the high fifties as I recall you CHP again, that's a blended gross margin, just roughly around 34%. I don't have as much visibility on their their storage gross margins. I would I would say they are below, in my view, what DMC and net out well below what Netapp would be on then IBM. That's again blended gross margin includes hardware. Software service is 47.4% probably half or more of IBM businesses. Professional service is on. IBM has, of course, a large software business as well. So and then the free cash flow you can see pure crushing it from the standpoint of of gaining share, I mean way, way ahead of the other market players, but only 14 million in free cash flow. So coming from a much, much smaller base, however pure, is purely focused on storage. So there are Andy. All their R and D is going into that storage space. DEL. Free cash flow very large. 3.4 billion that again is across the entire company. Net App. You can see 278 million h p e 648 million great quarter for HP from a free cash flow standpoint, I think year to date they're probably 838 140 million. So big Big quarter. For them. An IBM A 2.4 billion again. Dell, HP, IBM. That's across the company, as is the gross margin. So the the spending data from E. T. R. Really shows us that pure, strong Aziz showed you that very high net score and the intentions look strong, so I would suspect pure is going to continue to lead in the market share game. I don't see that changing. Certainly there's no evidence in the data. I think I think everybody else is in a sort of a dogfight del holding firm, you know, 0%. You'd like to see a little bit of growth out of that, but I think Del is actually, you know, Dell's key metric is, Are we growing faster than the market? That's that's they're sort of a primary criterion in metric for Dell is to grow faster than the overall market because that means you're growing some share. I think Del is comfortable with that. Della's gross margins actually were helped this this quarter by the fact that Dell server business was down 12%. There was a higher storage mix, so it propped up the margin a little bit. But again, generally speaking, it looks like pure is the market share winner here, but much, much smaller than the other guys. HB limbo very strong, and it shows up in the survey data from E T. R. And an IBM just needs to get a new product cycle out. So we'll come back. >> We'll take a look at this in in in in January and see how you know what it looked like and will continue to fall. Obviously, the income statement and the public reporting pure accelerate is coming up next month. Justin in mid September. I have no doubt, you know, pure has been first in a lot of different areas, right? They were first really all flash Ray. The only all flash. You're a company that ever reached escape velocity. They were they in Nutanix for the first kind of new $1,000,000,000 companies that people said would never have a billion dollar company. Pure is a pure play storage company, you know? Well, over a billion. Now, you know, they were first with that evergreen model. They made a lot of play there. You know, the first with envy, Emmy and first with the Nvidia relationships with Superior likes to be first. I have no doubt and accelerate next month down in Austin, curious that they picked Austin in Dell's backyard. I have no doubt that they're gonna have some other firsts at that show. Cuba be there watching just off of the emerald, the other big player here. Of course, that I'm not showing his v. San visa is very, very strong. You know, the D. E. T. Our data shows that, and certainly the data from the income statement shows of'em were NSX, the networking products, their cell phone to find network in their self defined storage of the the the V San. Very, very strong Pat Girl singer on the Cube. We asked him last week, Thio, take us through. So if someone has big memories and one of them was sort of East san, Excuse me. One of them was V San, and the board meeting at with Joe Tucci was on the Vienna where board really put a lot of pressure on Pat's and you can't do this to me. It's funny. Emcee had the shackles on the M, where for a number of years, but the shackles are off and visa is very, very strong. So these are some of the things we're keeping an eye on. Thanks for watching everybody busy day Volante, Cuban sites. We'll see you next time

>> live from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM Wear and its ecosystem partners. >> Welcome back to San Francisco. We continue our coverage here. Live on the Cube. 10th year John of covering Veum World This is 29 teens version John for John Wall's Got to have inside the Moscone Center. We're joined now by Varun Chabrol It was the vice president of marketing at Delhi M. C. Good to see you today. >> Thanks for having me. >> How's your week been? So far? >> It's been amazing. How can you don't get excited? All the innovation we're seeing this week >> we'll hear about some big announcements. Do you guys have made? And Moon Young Man Azzedine, who is the vice president of product marketing that for cloud security and works based solutions at Veum wear when you're good to see you. >> Good to see you again. You, By >> the way, you might be the busiest guy here. Yesterday, when you came into the set, you were coming in. Just spoken to 1300 people in a standing room only session You coming out? 500 folks, How many sessions have you done? The seven. So >> you don't count the the one on one with the analyst. And, uh, you know, the customers and partners and press. And tomorrow actually host ah 140 press media analyst on campus in Palo Alto from Asia Pacific because they float all the way from Asia >> plus 140. Yeah, it's a piece of cake. >> Yeah, hose them from 10 to 4. So, I mean, >> you're always smiling >> knowing that this is a pretty wide audience to whom you've been speaking. But just generally, what are you if there's a common thread at all about the kinds of questions that people are coming to you with, or or the concerns or maybe just the things they want to talk about being inspired. But what they're hearing here at the show, >> Okay. Now, according to two aspects of it, one obviously from analysts themselves, you know, they are actually have been very complimentary about the way we've taken our approach. I'm not sure if you could have paid attention. In the last couple of years, we've been talking especially the cloud side, the narrative, to be very much about use cases, solving problems. You know the key? No, we talked about hate my grade modernize. It wasn't about Hey, I've got the next big product here with all these features and capabilities. You do this and that. So we're gonna shifted out narrative. And it was very, you know, the the analyst across the boat. You know, we've been seeing an appreciative of the fact that you actually changing a narrative to be re compelling and we're gonna reflected. And we have some things here like Cloud City, where it's not a standard demo boot. It's a it's ah, Customers walk in and they touch and feel and see which we did it, Adele technology will, too. It's like, What's your business? Probably going through these applications. I'm sitting. I don't know if I should be modernizing them or should be migrating into Amazon. A ridge or so. So you know that narrative the analysts are appreciative off, and that reflects into the customer conversations I've been having in the briefings, like one on one with customers. They're really kind of lost us. D'oh! Hey, I've I'm working in this environment. There's a lot of pressure for me. Thio modernize my applications or go adopt my cloud. First strategy is where do I start? Where do I go? It's like, you know, there's a big pressure, so they just want clarity. I think in the end, everything we're gonna we're doing in our study that comes out obviously the buzzword for this weird world. It stanza, right? And, you know, >> we've won the product announcements was >> actually Brandon can Oh, yeah. Branding announcement, to be honest is yeah, because we're trying to bring together, as you know, in Tansy has landed in Bill Run Manage billed as in you know how our intent to acquire Pivotal Already acquired Big Tommy. How all our different acquisitions with different brand names are coming together to establish our bills portfolio again. The sphere. Everybody knows the sphere Project Pacific P ks. All of those create a good run time, environment and manageability like Adi manage with assets from ve Franta gain morbid Nami and you know it. So this multiple brands that are coming into this package off Iran. So we had a creative tan Xue too, you know, put forward statement together that yes is going to be 78 different brands coming into this, but going forward to stand. >> So so that's a great strategy on De Liam Seaside on Del Technology. Michael Dell was in here and I asked him. I said he could have been number one in everything you could. Let's talk about I'm number one in servers again. You kind of get on HP, little baby. But those air peace parts now. So we've got the cloud game. It's bringing despair it at parts together kind and making it coherent from a positioning standpoint and understandable and deployable. So you guys are going down there. That's your cloud strategy. Take a minute to explain that. >> Yeah, absolutely, John. So So what? What we've been doing. We announced this at Del Technologies will this year. But, you know, in the cloud infrastructure space, we're working very closely with the anywhere too tightly integrate our hardware solutions with their their cloud software. And we think that by combining these two in a tightly integrated joined engineer, jointly engineered solutions coupled with the service, is that you know, both of'em were and l e m c bring the customers we think we have. We're giving customers are very consistent experience both with their own premises, infrastructure with public cloud as well as with the edge cloud. And that's really what we're trying to do. That's what we've been building upon and uniting the announcements this week. You know, just just hopefully show customers that the sky's the limit, whether it's not just your infrastructure management. Also app development. Managing your APS both traditional and and cloud native. It's all here for And >> what's the big takeaway free from your standpoint that you'd like people to know about what's going on? Adele the emcee for the VM. Where relation. What's the big top item? >> Yeah, there's there's there's just so much good Doctor Wait forever drank the town about. If someone rises >> way, only have two hours >> time work. The most important thing that people should should know about it, >> you know, both deli M. C and V. M. R. I think, are very, very customer driven companies that we respond to customer feedback and we try to respond to them very fast. That's been true to our respective lifetimes and what we've done in the so that I think there's two broad areas of collaboration. One is in the cloud space, which is all about, you know, making sure that the the innovation that GM is bringing the market, we're providing that in a toy tightly integrated infrastructure solution. Right. So we announced from a deli in seaside support for Vienna, where p ks being deployed automatically on Vieques trail using VCF return. Our customers can you know, a lot of teams were telling us we have our developers and turning developers banging slash knocking on the door, saying we need to build a cloud. Native applications. You need to give us an environment that we can use. And you know, if if all righty, if these IittIe teams don't turn around and give them something relatively quickly Well, guess what? The developers will go somewhere else, right? Yeah, exactly. So And if you look at the kubernetes environment today, if you really look look at what the work that's required to set up kubernetes and ready infrastructure. So a lot of scripting a lot of manual, you know, work command line interface is testing stuff. And what what? V m r p k s does. And you know what times you will do as well is really makes it easy when we've taken that with the magic of the American Foundation sitting on top of the exhale to make it super easy for our customers to be able to deploy kubernetes ready infrastructure and then have it be ready for scale, right? And then the important thing here also is this is the same infrastructure of the expelling bcf that our customers are using for traditional applications as well, right? Trying to reduce that complexity. Give them the one platform. So this cloud, you know, we had we were doing the same integration on just with R A C I platform, but also with our best to breach storage or we're not working with the C f. And then we're also making investments on data protection like it's so important to be able to manage your data in this multi cloud world. We have applications sitting everywhere, data. We all know that it is a crown jewel. So >> it's really a king validating from the Vienna a point of view. How that works right is is about applications is about the infrastructure, and it's about the operation and it really kind of together as we talk about Han Xue p. K s is giving our customers that Chuy's off. You pick Cuban eighties, you know, environments, application choice. >> Um, >> it took us. Actually, we didn't We didn't arrive it in that order. Wait. Did it. In the outer off Infrastructure Plot Foundation is a critical piece of the joint engineering. But being aware and the Della Bella Technologies is really from aviary perspective. It took Locke Foundation, and that's the stack that runs in every public cloud. So, you know AWS as your G C P 4000 plus, you know, cloud provider partners. But Flat Foundation is a platform that was validated on. They'll take hardware and you know, that's the package. But now, as you see, we're lighting that it's same infrastructure up for traditional and culminated applications. >> I think the app sides important to point out, because if you could ve m wears heritage, you look at Dale's heritage. You had abs that ran on PCs absent, ran on servers, client server. And if you look at the fertilization that wasn't under the covers, apt an innovation that didn't require code changes. So that's the DNA that you guys have. Now, when you think about like cloud to point out which we've been riffing on that concept that's basically enterprise cloud mean donut. Hybrid cloud applications are gonna drive. The value on our premises is that they're going to be customer requirements that traditionally wouldn't have fit in the product. Marketing, management, featureless customs. Gonna define what they want. They'll build it, and then they'll dictate to the infrastructure to make it run. What? We can't do that yet. It'll be, Yes, we cannot be enabled to be dynamics. This is a a new cloud. 2.0, feature. This changes the complete game on suppliers >> completely agree. You know to your point, because, you know, you bring it thio back toward civilization. We've been going higher up the stack on So Day zero virtualization infrastructure will virtual eyes. So the line off abstraction has just been climbing from hardware retort realization next to like, you know, Pat platform of the service, and you kind of were working up our way down infrastructure. Now that base infrastructure platform looks like plants. Right? >> And there were times out a little bit over here. On the upside, you meet in the middle of >> it in the middle >> that is Hello, >> absolutely so ap and at middle wears shrinking down this way. Infrastructures. You know that the cloud incriminating stride in the middle to say, Well, that's a bit of, you know, infrastructure is a Kodak and pull. He's a bit of a AP AP eyes I can can I draw from And that's kind of nice future middleware. But our dad, I >> mean, I think applications air in charge, right? I mean, that's not sure That's the dynamic. That's the way it should be. But it never was that way before is basically the infrastructure was your gating factor. The network exact cloud two points Network security data. Yes, Dev Ops. A true Dev Ops Devane, Ops, Infrastructures Code. >> The only point I wanted to add is the reason the emphasis on abscess change acts in the past. Used to be a business support system after today is business. >> Yeah, I mean, it's >> really or you're you're gonna live or die based on the digital services you provide your customers. The other thing I was going to say about cloud 2.0, is that it's also becoming increasingly clear when we Dr customers that, um, customers are realizing Cloud is not a place right. There was this kind of cloud. One point it was okay. Big honking data centers, hyper skaters will be found now is that customers have gone through that process of and there's a lot more maturity in terms of understanding. What is good, better running on premises. What is what's better running in public Cloud? There's a place for both of them and that, um, and the cloud is actually the automation, the service delivery. It's Maurin operation and a way of being almost than a place. >> And what is it? Well, what does it do for you all? Then, in terms of challenge, especially at your teams, because you talk about all this customization, you're allowing the application to almost drive. You know, you're changing places in terms of who's the power of the relationship? Yes. Oh, me, yeah, How what? What does that do for you? Oh, in terms of how you approach that, how you change of mindset and how you change what you deliver? >> I think John, it's the way I think about it is that both daily emcee in Vienna, or any technology provider that's worth their salt is in the business of building platforms. Right? And platforms are essentially extensible. They're really they really provide a foundation that other people can innovate on top of it. And that's how I think you handled the customers issue. If one thing I think we can all agree on is that I t has always taught us there's no one size fits. All right? Right. So I think providing choice along every single dimension is super important for our >> customers. Yeah, I think that platform thing is a huge point. And I was gonna ask that question before John got jumped in because one of the things that you just brought up was platform is you guys have to build an enabling platform. One as suppliers. Okay, The successful cloud to point out cos are ones that are innovating in weird areas. Monitoring, for instance, they who will have thought that monitoring now observe ability would be such a massive, lucrative sector four. I pose M and A Why? Because it's data. It's instrumentation. This is operating system kind of thinking here is like network. So thinking like a platform on the supplier size one, the customers got to start thinking like a platform because their stakeholders air their internal developers or a P I shipping to suppliers. This is new for enterprises. This is news requires full hybrid capability. This requires date at the center of the value proposition. >> That's again the biggest value is business and I tr coming together on the area of applications and data. Yeah, that's starting up giving because the successful businesses are the ones who leveraged. Those guys have failed in the future, or the ones who don't pay attention to how critical applications are to the business logic and how critical data is to be able to mine and get the behavioral analytics to get ahead. And >> now the challenge in all this. But I'm learning and covering some of the public sector activity from the C I. A contract Jedi with Amazon to we had Raytheon Her here earlier is another customer example with another client is that procurement? And how they do business is not just a technical thing. There's like all this old legacy, things like, How do you procure technology, who you hire her and we hire developers? We build our own stack, so there's a lot of things going on. >> Yes, and you know, it's really interesting on the even on the procurement front, how our customers experience with Cloud has changed expectations, right, And that's really what we're doing with the McLaren DMC is what customers told us is, Hey, I love the agility of the cloud portal based access. Easy procurement. I love just being able to click a button and not have to navigate all this complexity. I need that for my own premises infrastructure. Imagine FRA structure. And that's, you know, in an example, while all of these dynamics are really all converging, >> well, if you can create abstraction, layer on a level of complexity and make things easy, simple and affordable, that's good business. Model >> one of our customers without taking the name right. The massive retailer you know they're spinning up, um, the retail outlets like crazy. They measure success in This was one truck roll, so they wanna have the entire infrastructure come into stand up one of the retail outlets in one truck roll. When everything comes in one button push that everything gets in a provision and up together. >> So that means I gotta have full software instrumentation automation Got intelligence. This is kind of where cloud 2.0, will lead us all >> likely. And that's expectation now that they go so fast and deploying this one Truck roll Hardware's there. Switch it on from the cloud it stood up and they're in operation 24 hours. >> Well, guys, we're going to get you on our power panels in our Palace of studio on this topic cloudy. But it's gonna be very aggressive and controversial topic because it's going to challenge the status quo. And that's really what this we're talking about >> that's in our DNA. >> And the good news is that that's more time with John. >> So as we before, we say so long, we've talked about clients. We talked about the folks you bet here. We talked about the presentation on this thing and what they're all getting out of it. What are you getting out of this? I mean, what are your takeaways? As you had back to your respective work orders, you get first. Okay? >> I think for me the biggest takeaway is just how incredibly vibrant via more user communities. I mean, it is unlike anything else I've seen before and now with the things like Project Pacific. I just feel like it's It's an opportunity for this community to be able to take the skills they have right now and actually go into this brave new world of containers with so much help forces having to do this all by yourself. Which means it's gonna be, you know, if you think about how largest community is, think about how much innovation this will spore in the container space and because of that in the application space and then because of that in business is I mean, this is a It just feels like a tipping point for me >> to me. Sure, I got high fives from every tech geek, you know, when we came out, you know, I also on our technical advisory boats for the company that these are the hot core geeks who were followed and you know us to the, you know, these were the fans and they were like, you know, they always kind of like if you walk out of them and you talk to them and they, uh how did it work? Because they my bar, you have a very high bar. They cut through all your marketing messaging. They go right to the hay. Is there meet in this And the high fives? I got the hajj. I got out. This is like, guys, you're nailing it. That's enough to tell me that a This is, like, 10 years ago. Yeah, that body. It's like you're so busy. I'm still smiling because the energy is I >> can't give you a hug. Give me a high five. Right. Good work, gentlemen. Thanks for the time. Always, he's still smiling to >> get you to a step. >> Good deal. Thanks for being with us. Thank you. Live on the Cube. You're watching our coverage in world 2019. Where? San Francisco. Back with more. Right after this.

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM Wear and its ecosystem partners. >> Welcome back, I'm stew minimum like co host for this segment is Justin War, and this is the 10th year of the Cube here at VM World 2019 when the lobby of Mosconi North and happened. Welcome to the program first, a first time guest on the program. June Yang, who is the vice president of product management and engineering at VM. Where. Thank you so much for joining us. >> Thank you for having me. >> And welcoming back to the program is Marin Cabra, who's the vice president. Product marketing of Cloud at Delhi emcee for in Great to See You, thanks to All right, June so many different pieces talking about Cloud Way. Think back 10 years ago, you know, Pomerance was talking about it like it's the software mainframe. What we're talking because, you know, even back then, you know, Cloud isn't really it's not a destination or a place. You know, there is no cloud is just somebody else's computer. It's more of an operating model, so of course, the VM work cloud on various solutions. Of course. Sitting here with Del, I'm sure we'll be talking about the V. MacLeod, a deli emcee. But just give us over a little bit about you know, you're in a lot of customer meetings. You know what's resonating with your customers. What are they coming to you tow? Discuss when it comes to their overall cloud strategy? >> Yeah, I think for a lot of customers, they're really looking for both the hybrid cloud story as well as a multi call story. I mean, this is something that Pat spend quite a bit of time talking to you on the Mondays keynote. We see customers clearly. Many of them have very large existing footprints on premises and edges again as a growing segment off their infrastructure. It's also getting very significant, making very significant investment over there. And of course, the public cloud itself. So we see many customer really trying to straddle the combination off the private cloud, the public cloud and the edge side, and our strategy is really we want to have a consistent infrastructure that's running everywhere, so therefore we have a consistent operational model that enables the customer and their advance to be to do that. >> Yeah, In some ways, it reminds me back. You know, in the early days when I worked with VM where every group had some application they'd built and you know which server they bought, you know, you know, they would run VM. We're underneath that because it would help with the efficiency in there. So in some ways, is multi cloud similar to what we had in multi vendor back in the day, >> I mean, we think of, you know, you think about the first it oration. Of'em were right. We're really thinking about We're taking the hype, the hyper visor, and making all the hardware underneath that to be really invisible right you're using, You're dealing with a high. You're doing the hyper visor and really hide it a head virginity off. What's underneath that? And then we talk about our STD Sierra, which is really focusing software defined data center were virtualized not only compute, but also storage and network as well and really hide in the head Virginity for that. And so the third iteration flies really looking at the cloud as the next level off you know, different instructor comes from money again. We want to go to hide that and offer consistent operational model there. >> So from the customer perspective, back in the day when Vienna, where was new It was new and scary for a lot of customers. And we had we saw that with cloud as well. So 10 years ago, Cloud was evil and wrong, and we should never use it. Customers have moved on in both of those cases Have we have We reached the point now where cloud is just Yes, it's accepted and we're going to be doing it. Are we? Are we going to have another battle about whether hybrid or multi cloud or customers just moved past that and are now looking at? We know what we want to use this for, so we know that we need to choose it. We're not gonna be moving everything to the cloud, but we're not gonna be putting everything in V EMS either. We're going to choose what is the right solution for the for the different views. Guys, >> I think over the last court, a couple of years that has become sort of the defective standard people comfortable with the cloud people comfortable with on premises. They know that it's gonna be hybrid cloud world. It's gonna be a multi cloud world. >> So Varun, we talked about the VM War cloud on Delhi M C. We had a number of conversations back. Adelle Technologies World. You know, earlier this year when you look out in the general market place, they're like, Oh, I look at the family. Well, Della's the hardware Veum. Where's the software? There are a lot of announcements this week that we're the cross pollination of pieces, and a lot of those are software pieces from the Dell family that tie into what's happening on VCF and the like. So bring us the update. >> Mr Was, as June said, both Daddy M. C and V M were incredibly customer driven companies, right? So what we've been hearing from customers is one. They're really excited about being able to try out the Ember cloud and a GMC, so we're very, very happy to be working with the hammer to bring this to market first. So that's something that that our customers have been asking us for. But then, along with that, as customers start understanding the model of the fully manage data. So you know the fully manage infrastructure you can. The next question that customers have is okay. I can now focus on higher value added service is And one of the things that immediately comes up next is okay. What about my data out? We're protected, right? I'm gonna be running applications on this. And we've already spoken on this show many times before. Data is increasingly one off our organization's most valuable assets. It's a competitive differentiator. Bc news, Every day, if it falls in the wrong hands, what happens? Right? So what we've been doing now, in addition to the three amazing amount of work that we've been doing the June's team to bring this to market, they've also been working on the data protection side. So now the deli emcee data protection is now validated to be working on Williams of you, MacLeod and DMC as the data protection solution. So this means that customers can not only take advantage of the the integration that we have on the infrastructure earlier. You can also take advantage of just have the peace of mind that our industry leading data protection solutions Will will be there to help them manage the data and protect their data. >> So it sounds like it's something that you don't have to think about it as an afterthought, which is often the challenge with data protection. If you if you wait to think about it, it never happens. So this pretty much just comes. We know it's gonna work. Turn it on Day one. Just have it. Start with your data being protected and just have that baked into the way that you run your operations so that it no longer becomes spinning up a specific backup project. Because those things that they always expensive, there's no there's no perceived value to the business of doing this, whereas if it's just now part off, this is how you run your infrastructure. So this is how you stand up via MacLeod on Delhi emcee, and this is just how you should do business. >> You know, it's absolutely like that way. What would we find? That's really exciting. What the Hammer Claw Run DMC is. Customers are asking us to deliver the cloud model right to their data centers do their edge locations, so that's how they want to consume software solutions as well. So what's amazing about the solution is you're you're doing everything to the browser. So that's how you're gonna cause you Data protection becomes an ad on service that you want to add on that. And I'm sure over time we're gonna enter the capabilities as well. But it's really that's the key part here. The ease of consumption it Sorry, The ease of use and basically being able to consume things through the browser is a game changer for for infrastructure, on data in the data center on the edge. >> So June 1 of the things that definitely has caught our attention and one of the bigger announcements this week is Tom Zoo in the con to Mission Control. That's what they call it because from going to have multiple locations, we've been looking for my entire career in I t o. You know, we're gonna have some tool that's going to manage across these environments and made a VM wear cloud, you know, on Delhi emcee. But I probably of'em were cloud on some of the public clouds, and I you might also be doing some kubernetes. That's not even with the V a more pieces, so help paint a picture is kind of where we are today and where we're going when it comes to you know that management consumption and maybe even some of the finances in getting to that cloud operating model across all my environments. >> Yeah, tonsil Vincenzo is a kind of follow. Your name for a number of products was in that tons of mission control, of course, is one part of that. The way we view Content Zoo is that this is really a multi called platform. We understand that customers of developers in particular, wanted to use consume, consume carbon eighties cluster and the often they want to choose communities. Cluster based on different cloud for variety reasons, sometimes cause something's resiliency, sometimes just geographical availability. And then there needs the way to be able to see this in the consolidated fashion. And that's what tons of mission control does. And that's when I showcase yesterday the keynote to really show that you can now have a single pane glass to be able to see all of these clusters across multiple clouds and and then be able to, you know, do some troubleshooting and so forth making things much easier that, of course, buildup Holly policies on top of these clusters and then welcome propagated changes and making sure those in force. So those are some really, really, I think, really good operational capabilities that really simplifies the data. The operational cut, you know, kind of the task that operator has to do its part of the >> driver for this, that that enterprises who got this investment in v sphere. So they've spent 10 years of 10 more years investing in envy sphere. And then all of a sudden, you've got these cloud people who want to come and do things in a completely different way. So now, as a business, I either I have to make a choice of what do I invest a lot of money in both of these things? Do I move everything to one model? It sounds like you're actually trying to provide customers with away. That's a look. You've already made these investments and you don't have to throw them all away. You can still operate things here, but you can also have these cloud things without having to move everything off into a completely different operating model. Is that fairly >> accurate. So I think we're very customer driven by We want to deliver what customer wants to. It wants to be able to consume S o. You know, That's why you know, part of the reason we're so excited about a Project Pacific on top of the V sphere side is really customer has made a huge investment on the visa for platform. And we've got 500,000 customers out there and tons of customers does. He becomes their standard in the data center and that you now have a kubernetes coming in and containers coming in and we don't want a customer. Have to do a siloed platform for it. And by embedding communities directly into V's for yourself, we have now made V's fear The platform for containers and for VMC Sport was well, so that investment customer has made on the on the VCR side. Now kind of moves out to people to cover the communities and containers as well. And because our std see and our hybrid cloud story we're taking the same V sphere across to be a mark on the deli Emcee the Mark child on aws mbm were cloud, you know on edge and so forth. That means all this benefits that fracture. Pacific greens is now going everywhere. >> Having spoken to some clients about the experience of even managed community service is it's really, really painful for them. So being about having these of use of these fear, if you could bring that to group in a visa and have that is a manage service, I'm sure you'll make a lot of people very happy. >> That's that's why we're so excited about it. >> Do you want to click one level further on the product Pacific stuff? Because the thing that struck me at first it's like, Wait, you know, containers and communities That's gonna be the cloud and being, you know, feast fear. We want to modernize it. But you know, that's not what I want to put in the public cloud. But Product Pacific. Is this primarily a data center offering? If I'm doing via more cloud in a public cloud to expect to be leveraging the native public cloud and then tan to helps me manage across them? Is that how we think of them? Or am I not getting the full story? >> So I think a little bit about you think about. There's 111 track is you can do is all these fear based clouds, right? These fear based on premise the sphere based on dahlia MSI ve sphere based on top of you know, public cloud right, That's one track if you follow that track than Project Pacific essentially allows you to be able to run both kubernetes and virtual machines on a single platform. Now, if customers also wanted to be able to run a native cloud, then this is what kind of bring tons of mission control in, because that's a multi called story. So that was kind of what paddle trying explain at the keynote in terms of hybrid cloud versus the versus the multi cloud. >> Okay, so you don't actually have to make a choice of one way of saying things, the tyranny of the single glass of pain. I have to make choices and you can't have a lot of things. And if there's one thing enterprises, height is that that's dedicating themselves to just one way of doing things, they like to have choice. >> We want to give them choices. Well, >> s O. B. Having that ability to be able to make those choices and have it be an end decision instead of war. I think that's >> so one of the questions we've gotten from customers this week is you know, your partners he had VM wear have just made a lot of acquisitions. It's a lot of integration work that needs to get it done. Their bills got strong experience in these things. That sit on top of the stack gives a little bit of what we should see going forward on your planet. >> I mean, I think if there's anything that's that's apparent this week, is that being there and L Technologies are just getting started. I mean, even as a having having known a little bit about some of these announcements, it was just so exciting to see all that stuff come Rio. And we're very, very excited to continue to work with the, um, where to bring. You know, Tan Xue. The various components attends a more Cooper container stuff as well, as well as other other capabilities that we saw in you realize orchestrator and automation. We want to bring that to our customers in an integrated fashion so that it's easy for them to deploy just easy for them to use. And so I think what you're seeing here is just the start. >> That sounds fantastic. Yeah. So all of this investment that women there were saying from from the M wear and from Delhi and see like our customers going to see the payoff immediately, like tomorrow. Or we're going to have to wait. Another wait for some of these investments and integration is to pay off. How long are we going away? >> You think a lot of this is coming to fruition already? We announced availability. Of'em were called on Dahlia emcee at B M World. So it's ready for customer to purchase today, right? If a customer wanted Thio, you know much like what I demolition at the keynote. If a customer has a data center, they want to stood up wherever they need to be taken, literally place, order and be able to get that right. So that's the benefit they can have immediately. And of course, a lot of the longer term things have been talking about by layering additional capabilities. When Project Pacific comes into for a shin, this becomes available, you know, across the veer mark Wild and tell'em see products as well. I mean, these things will all kind of continuous snowballing as we go forward. But there's immediate benefit today and they'll be ongoing benefit as we go forward, making additional investment. >> Excellent. I don't have to wait forever. >> Yes, yes, it's about instant gratification. That's the trick. Now >> what? Wonder if you could speak to kind of changing application portfolio. His customers are modernizing, Going cloud native on that, what's the impact on your platforms and what are you seeing and hearing from customers? >> You know, uh, there is obviously a lot of interest in containers, and customers are either already trying it out or having some sort of applications that her back is there or they have or they're looking at it and saying, This seems really interesting. In some ways, it seems very, very similar to what What I saw from customers five years ago when people were saying, I'm gonna move everything to the public club and, you know, sometimes you hear a little bit of I'm gonna move everything to containers. I think what we will likely see over the next few years is a little bit of rationalization, just like we saw with public and private, is that it's both. I think we will continue to see sort of traditional applications and new applications live in more off of'em centric model. And I think there will be as their new applications being built or as I squeeze package of their applications to be more container friendly. We'll see some go that way. I you know, if anything, I've learned it is One thing I've learned in the I T industry in all these years is there really isn't a one size fits all solution. We get very excited about things, >> and we're like, Oh, >> everybody's going to do this But the reality is, things balanced themselves out and into June's point as a vendor. What we want to do is we want to give our customers choice. But we know that there's no one size fits all, and we want them to choose what's right for their business and help them achieved their goals. >> So, June last question I have for you. Congratulations on the keynote yesterday way Heard way. No, a lot of the inside work and, you know, heard like the guy that swim across the English Channel like that got added to the agenda, you know, like days beforehand flew way. Understand? What happened with demos and last minute gives a little bit is to kind of the making of the team that helped put that together. You know anything that you know, you were super excited. That actually made the final stage that you might not have thought would've gotten there, >> you know, we started out was we were very ambitious, right? And we put in 15 or 16 demos into it. And as we started putting things together, time was our biggest enemy, you know? You know our friend Joe, who is, you know, running the day to show he was telling me you are 30 seconds over on this particular done, though you are 45 seconds on the other day. You give yourself credit here. I'm trying to tell the story here. So, unfortunately, we actually had to cut some demos out just because he couldn't fit into the scope of time. We want to make sure the story really comes out and the customer really understood what we're trying to show. I mean, I'm just so excited as part of the, you know, me doing the key day to keynote. I actually learned about a bunch of products I wasn't that familiar with. And so I was like, Wow, I didn't even know were doing that. And so just to see the amount of capabilities that we're bringing to bear, it's pretty astonishing and it's it's exciting. >> June, I'll say It reminds me of other cloud shows where there's so much going on so much new products getting launched that no single person can keep up with that. But thank you, June and Vern for helping our audience learn a little bit more about the areas that you're doing with >> my pleasure. >> Thank you for having us. >> Justin Warren. I'm still Minuteman back with more coverage at VM World 2019. Thank you for watching the Cube

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue Now, here's your host. Day Volonte. >> Hi, buddy. This is David Lantz. Welcome to this cube. Conversation with Dr Rico is the CMO of infinite out. It's still I still have a hard time saying that doctor or an engineer and I love having you on because we could talk storage. We could go deep and we could talk trends and marketing trends, too. But so welcome. Thanks for coming on my sled. So tell me what's new since the scale to win launch that you guys had. Tell me what you know. Is everything shipping Now What's the uptake been like with customers? And the reaction? Yeah, >> they're the reaction has been phenomenal. This, as you may recall, you were there. It was biggest launch in our history, which was fantastic. And the reaction has just been overwhelmingly positive, with customers with partners with analysts. Human scum cases with competitors is an interesting you know, we had a lot of things that were already shipping. They were an early customer release. There were a few things that we had started shipping in December on the things that we said we'd be coming in three Q. We G eight on time. So there, there now all generally available except the stuff that we talked about that would be available in 2020 which right now looks like it's on track. It's doing very, very well. >> So VM wear VM world eyes coming up later on this month, things are obviously changing. There was announcement recently that that VM wears gonna choir pivotal. So a little bit of financial engineering going on stock stock rose 77% on the day when the Dow dropped 800. So okay, the funny money. But things are changing in the V m where ecosystem you certainly saw we we This is our 10th year the M world. We go back and you hear Tod Nielsen back in the day, talk about for every dollar spent on a V M where lice and 15 was spent a Negro system, you know, we're kinda del izing vm wear now, which is sort of interesting, but I'm curious as to what you're seeing what that all means to you. I mean, still half a million 600,000 customers, you've got to be there you guys have great success at that show. So your thoughts what's going on? But VM world this year? Yeah, I >> kind of kind of loaded their first of all congratulations on the milestone. That's great. 10 years is super. Remember, probably seeing you with the 1st 1 there. Of course we knew each other longer. Uh, you know, and sure I get the incestuous, you know, money changing of hand there, I think I think it's it's good in one respect. You certainly CBM where, you know, making big inroads with VM wear on AWS. And this isn't now with Pivotal will be a good launching platform for Della's well, a svm where to be a little bit more in control of their own destiny. And it's certainly the way a lot of people are going. We're doing a lot of that ourselves. Not so much, in a sense. We don't have a cloud platform that we sell is a total encompassing platform. But of course, with new tricks cloud on big players and then certainly a large portion of our our customer base, our cloud service providers, they love our stuff. It helps them compete. It actually gives them in some respects, a competitive advantage, but VM world itself. Lots going on there. We have amplified our presence once again because VM where does represent a large portion of our customer base? So we're we're very proud of that. We're very proud to be a technology alliance partner of the M wears Andi. We're expecting to see a really good show in a really good cloud. A cloud crowd has they return back to their home base in San Francisco for us this year, it's It's gonna be a different experience. Were tellingme or of the software story, more of the portfolio story more about how you scare scale the win. We have a virtual presence this year, which is going to be very helpful in telling that story. Customers can come in and they can see more than just a ah box that in our world is really not important because it's for us. It's all about the software and stuff we do. We even in Booth Theater, we have some private meeting spaces well, to take people into a bigger, deeper drill down. But the virtual experience will allow them to touch and feel stuff that maybe they didn't get to do before, and that's gonna be kind of exciting as well. >> So you mentioned C S P s. We had Michael Gray thrive on a while back, and you know, he was saying that Look, he likes your product because it allows him to do other things. And don't worry about, you know, the old sort of tuning and managing and ableto re shift labor. I felt like that was an interesting discussion, primarily because you've got all these cloud service providers that everybody thought aws was just gonna kill. And if anything, it's elevated them. What are you seeing in the CSP space? Yeah, you know, >> Michael had a lot of interesting things to say that definitely love the fact that we enable multiple workloads without them having to do lots of cautious planning and re planning and shifting and shuffling. And we are seeing C S P is becoming more value. Add to a lot of businesses, especially the mid market and the smaller enterprise where people may want more than just infrastructure. You know, they don't they need that application level support and companies like thrive in some of our other really good customer, US signal and you know they're all capable of Flex Central's. Another one they're all capable of providing service is beyond the hardware they're capable of providing that application support the guidance and, in the case of Thrive, the cybersecurity guidance especial Really, which is really, really critical. So they're growing, and they're also, by the way, working with eight of us and Google and Azure to provide that capabilities well, when necessary. >> Well, that leads me to the sort of multi cloud discussion in our industry. We tend to have this alphabet soup of acronyms like another reason I like talking to you because we can kind of cut through that. And, you know, I love the marketing. I think marketing helps people understand what's going on differentiate. It gives you an indication of where the industry is going, and multi cloud is one of those things that I mean. I've kind of said it's a symptom of multi vendor and more so than a strategy. But increasingly it seems like it's becoming a strategy with customers, and you just gave an example of thrive working with multiple cloud vendors. Clearly, VM where wants to be in that business. What your thoughts on multi cloud and and hybrid. What does it mean for for infinite at What's your strategy there? You know, it's it's interesting because I >> just read an article the other day about you know, the definition of multi cloud on whether it's being abused and, you know, I I look at it as someone just trying to tell their story and give it. Give it some favor. I think at the end of the day, uh, every business is going to be talking to multiple platforms whether they want to or not. You know, there are many customers and companies out there, businesses who are in our customers who have gone the way of the cloud and repatriated. Certain things is they've they found that it it may work. It may not work, and there are many cloud providers who were trying to do things to accelerate migration of applications because they see that certain applications don't work. You know, we got one of the cloud providers buying Ah, now as provider, another one buying very recently, you know, an envy me based flash company to try to pick up those loose workloads where they might struggle today. But the end of the day everybody's going to be multiple. And whether it's because they're using cloud service is from from a software perspective or whether they just need to basically broker and maintain sort of that that independence so that they can maintain some cost control, availability, control, security, control and in some cases it will remain on premises. And some of things will be off just so they could get the applications closer to their end users. So you know what is multi Cloud? Multi Cloud really is just one of those terms that literally means what it says. It's your business running in multiple places. It doesn't have to necessarily be simultaneously by the same application. >> A big part of your value proposition is the simplicity. We've heard that from your customers, and you guys obviously push that out there. I want to ask you because you mentioned repatriation and you know, Cloud keeps growing like crazy. Sure, and the on prem not so much. You guys are smaller company. You're growing your stealing share, So yep. So maybe is that simplicity thing. Here's my question. So it's around automation. The cloud providers, generally an Amazon specifically have have driven automation. They've attacked the IittIe labor problem and they're able to charge for that on Dhe. So my question is, are you seeing that you're able to attack that labor problem in a similar sense and bring forth the value proposition to customers is Look, we can create a cloud like experience on Prem if you want MacLeod. Great. But if you want to stay on Prem, you're gonna get the benefit of being able to shift. Resource is two more strategic things and not have to worry about all this heavy, heavy lifting. You You seeing tangible evidence of that? >> We're seeing significant tangible evidence of that on and, you know, a couple of things. You know, you talk about growth, right? And I think when we did the launch, you know, only a few months ago we were at about 4.6 exabytes of capacity shipped. We just passed 5.1. That's some significant growth in in just a few months. It's like a 33% growth just from the same time last year, which is which is fairly significant. And of course, if you're familiar with the way we talk, you know you have an engineer is the head of marketing. We like to tell the truth. You know, we don't like to mask, do many things and confuse people. We don't like talking about effective storage because effective capacity doesn't really mean much to some people. So that's, you know, this is what we This is what we shipped and it's growing rapidly. And a lot of that is growing, in part because of the significance of the message and in part because of this need to control costs, contain costs and really operate in a more modern way. So get back to your comments about cloud and cloud operation. That's really what people want. People like the consumption model of cloud. They don't always like the cost on hidden costs. So simplifying that, but giving them the flexibility Thio have either an op X or cap ex that allows him to grow and shrink as they move workloads around. Because everybody grows even on Prem is growing. It's just, you know, it's the law of numbers, right? Cloud is growing, absolutely. But on Prem really is growing. And then the other thing I want is they want the operational flexibility. And that's what we talked about in our elastic data fabric. They don't like constantly having to re jigger and re balance workloads. Infinite box by itself. The platform of infinite Box takes away a lot of that mystery and magic, because it it kind of hides all of the complexity of that workload. And it, you know, we take the randomness out of the I o. I think maybe Craig Hibbert mentioned in his video is he was describing in detail how that happens. Remember Michael Gray talking about that as well, you know, So those those things come out in a single infinite box. But even if you said well, I still want to move my workload from, uh, you know this data center to an adjacent data center or perhaps a data center in another facility. Um, excuse me, Another city. So that's closer to the end user. Making that transparent to the applications is critically important. >> Yes, he talked about growth in about 1/2 a PETA bite. Sorry, half an exabyte in just a few months. A couple months? Really Right. That's that's growth. But I want to ask you about petabytes. Petabytes scales. Kind of key of companies that don't do that in a year day, eh? Exactly. So that's a petabytes scale. Is big party of marketing two questions? Why is that relevant? Or is that relevant to VM? Where customers? Why so and then, does it scare some people owe you? Asked a great question. >> It absolutely scared some people. And I know that there are some pundits out their industry pundits who who basically don't agree with our messaging. But this is this is the business problem that we we targeted the solve rate. Um, there are a lot of people out there who don't think they're petabytes scale yet because maybe they're individual applications aren't petabytes scale. But when you add it up, they get there and a lot of our customers are existing. Customers didn't start with infinite at at petabytes scale. They started a couple 100 terabytes, perhaps, but they're petabytes skill now. In fact, over 80% of the customers and systems that we have out there today or above the petty bite. We have customers that are in the tens of petabytes. We have customers that are in the hundreds of petabytes. They grow, they grow rapidly on. Why is that? Well, to two factors. Really. Number one, if you go back to. Probably when I first met you back when I had your hair, at least in quantity, way had way. Were kind of crusting that terabyte mark. Right? Right. And what was the problem? The problem was nobody could figure out how to deal with the performance. Nobody wanted to put that much risk on a single platform, so they couldn't deal with the availability. And they really didn't know how to deal with even the serviceability of that scale. So terabyte was a problem solved No, 25 years ago, and then things were rapidly from there. Now we're at the same juncture, just three orders of magnitude later. Right? >> Well, that's interesting, because, you know, you're right. People didn't want to put all all that capacity under an actuator that cost performance problems. They were concerned about, you know, just availability. And then two things happen so simultaneously, flash comes along. And, you know, you would say was put sort of a Band aid to some of the performance problems. Sure. And you guys came up with, like, this magic sauce to actually use spinning disc and get the same performance or better performance you would argue with flash. And so as a result, you were now able to do a lot Maur with the data, the concerns about that much date under the actuator somewhat attenuated because, I mean, you've got now so much data, you've got to do something that's almost that's flywheel effective. You've got tons of data machine intelligence and a I. Now, coming into the picture, you've got Cloud, which has been this huge tail when for the industry and for data creation in general. And so I see. You know, you see, like the I. D. C numbers and for forecasting growth of data and storage could be low. I mean, the curve could be bending, you know, kind of more than exponentially your thoughts on that. >> Yeah, it's an interesting, interesting observation. I think what it really comes down to is our storyline is math is greater than media, all right? And when you when you look at the flash being, you know, the panacea to performance it was just a step in the evolution, right? You go back and and say, spinning disc was the same solution to the performance problem 20 years ago. 25 years ago, even it was 5400 rpm discs and then very rapidly. Servers got faster. The interconnects got a little bit faster. They were still mostly differential. Scuzzy. There was 7200 rpm discs. And I promise you, by the way, that if you're running 5400 rpm desk, you install 7200 rpm. All yours performance problems will go away until the day you install it. And then it was 10,000 rpm discs and I was 15,000 rpm disc, and it still wasn't getting fast enough because, you know, you went to Fibre Channel One Gig Fibre channel and then to Geek Fibre, Channel four, Gig fibre, Channel eight, gig fibre channel. The unified connects got faster. The servers got faster. That was more cash on the servers. Then this thing came along, cuts called solid state disc. Right. And then it was it was SLC single layer cell technology. But don't worry about it's very expensive. Not a problem. You only need 4% of your application, right? Jerry? No, no, I'm sorry. percent. No, I'm sorry. 30%. What the heck? You know, M l c is now a little bit more reliable, so let's just make make it all slash. Right? So that was the end of the story, right? No. Servers continue to get faster. Uh, the media continue to get faster and denser, right? So now the interconnect isn't fast enough, So envy me. Is that the answer to life? The universe and everything? Well, wait. I got a better answer for your test. CIA storage class memory in parallel with that. By the way, there are some vendors out there who said that's still not fast enough. We want to put more d ram and the servers and do things in memory. We went in memory databases. I guarantee whatever you do from a media perspective on my personal guarantee to you, it's obsolete by the time you're up and running. By the time you get your applications migrated, configured and running with business value, it's already obsolete. Some vendors got something better coming out. The right answers. This stuff you talked about, the right answer is everything that you're doing for your business. APs. It's a it's a Mel. It's solving the problems in software and, you know, you said we use disc and make it fast. It's not despite itself, of course, right? It's D Bram. It's a lot of the Ram, which, by the way, is orders of magnitude faster than flash the NAND flash. And even if its ECM and still orders of magnitude faster than that, what we use the disk for today in the architecture is the cost factor. We take the random ization out in the flash and we take the >> end and in the in the diagram >> and we used the SAS in the back end to manage costs. But we use it in a way that it performs well, which is highly sequential, massively parallel. And we take full advantage of that Beck and Ben with to do that with that massive dear am front end. Our cash ratios are unparalleled in the industry and and we use it even more effectively that way. But if architecture already evolves, so if if SCM becomes more stable and becomes more cost effective, we can replace that that S S D layer with the cm. And if you know, if the economics of Q L C or something beyond that. Come down will replace the back end with that, do you? Do >> you ever look at what you're doing today as sort of a modern day symmetric. So I mean, a lot of things you just said. I mean, you've got a lot of memory. You've got a massive back end. You know, those were two of the characteristics of symmetric snow. Of course. Fast forward. Whatever. 30 years, right. But a lot of it was sort of intelligence and understanding. Sure. So how data works, is it Is it a fair sort of, or is it radically different? Well, in terms of mindset, I mean, I know the implementation is >> right, right? >> Yeah. I mean, it's not an unfair comparison. I mean, tiered storage was around before some metrics. Right? So it's certainly existed existed then, too. It was just at the time. It was a significant innovation course to layer at the time, right? A big cash front, ending some slower media and then taking advantage of the media on the back end. The big difference today is that if you look at what some metrics became through its Evolution's DMX and V Max and now Power Max. It's still tiered storage, you know, you still have some cash. That's that's for unending some faster media with power. Max, you're you're dealing now with us with an SS a back end. But what happened with those types of architectures is the tearing became more automated. But you're still moving information around. You're still moving Information from one said it This to another set of this leader in the cycle. You're still trying to promote things you know, to to the cash up front. We're doing it in real time. We're >> doing it by analyzing >> the data on the way it comes in. We're reassembling it again, taking the random ization out we're reassembling it and storing it across multiple disks in a way that it it increases our probability of pulling that information associated information back when we need it later. So there's there's no movement. Once its place, we don't have to replace it. You know it's already associated with other data that makes sense, and that gives us a lot of value. >> And secret sauce is the outcome of the secret sauce is you're able to very efficiently. Well, historically, you haven't been able to do a lot of garbage collection, a lot of data movement, and that just kills performance. There's >> really no garbage collection necessary in our in our world way. Also use very modern data structures or patents. Ah, lot of them on our neural cash Deal with the fact that we use a try data structure. So we're not using old fashioned hash tables and you know, l are you algorithms, You know it Sze very, very rapid traverse a ll of these trees >> and you're taking advantage of machine intelligence inside the software architecture. That really is some of the new innovation that really wasn't around to be able to take advantage of that 20 years ago. Maybe it was it was just not cost effective. Do the math was there, put it that the math of the mouth was there and >> there there There's been lots of evolutions of that over the years, a swell, but we continue to evolve and innovate. And, you know, one of the one of the cool things I think about working infinite at is is the multiple multiple generations of engineer where you've got people who understand that math they understand the real nuances of what it means to operate in a world of storage, which is quite a bit different than operating, saying networks or proceed be used because data integrity is paramount. There's lots of lots of things that go on there as well. But we also have younger generations, generations who like new challenges and like to re invent things so they find newer and greater ways to do things. >> This is exciting. So systems, thinkers and I mean server thinkers. I mean, people who understand, you know, systems designed it all the way through and and, you know, newbies who are super smart like you say, wanna learn and solve problems? Go back to the petabytes scale discussion, >> solve problems at petabytes scale, right? Even if the customer doesn't need that necessarily to solve that problem is critically important because even if you look at Les, just take, you know NFS, for example, most NFS systems deal with thousands of objects. Hundreds to thousands of objects are an F s. Implementation deals with billions, right? Do you need billions? How many applications you know that have billions of objects, But being able to do that in a way where performance doesn't degrade over time and also do it in a way where we say our nlm implementation isn't impacted by any any type of service events, we can take a note out, and it doesn't impact in ln There's no no degradation and performance. There's no impact or outage in service. All that's important. Even when you're dealing with smaller application sizes because they add up, they really do add up. He also brought up the point about, you know, density and actually intensity. Great. You know, back 25 years ago, when we were dealing with, you know, the first terabyte storage system, you know, how much how much stories did you have on your laptop? How much you have today, right? You know, you're probably more than a terabyte. They were laughing about putting things terabyte on the floor. And now you get more than a terabyte on your laptop. Things changing? >> Yeah. Um, I wanna ask you where you see the competition. We talked about all flash. We've had a long conversation, long, many conversations in the past about this, But you really, you know, the all flashy kind of described it as a Band Aid, essentially my words, but it was sort of a step function. Okay, great. Um, you have one company, really us who achieve escape velocity in that business in terms of pure But is that where you see in competition and you're seeing it from, you know, the hyper scale er's where you Yeah, you know, >> it's interesting. You know, you look at companies like, you know, we admire what they dio, especially with regard to marketing. They do a really good job of that. They also, um I have some really interesting ideas innovating the media, which is which is great. It helps us in the long run as well. Um, we just look at it as a component of our system, not these system, which makes it different. We don't really see the A f a. You know, the small scale a FAA is are the majority of our competition. We do run into them, but typically it the lower end of the opportunity. Even within the bigger companies that have competitors to those products, we run into them and smaller opportunities, not bigger opportunities where we run into them where there's a significant performance advantage as long as you don't mind the scale out approach to solving the problem. Unfortunately, when you're using a phase two skill out, you know you're putting all of the intelligence requirements on some poor storage administrator or system administrator to figure out what those where right, we take all of that away. So once it starts to scale, that's where we come in a plan. We don't see tons of competition there. Certainly, we're seeing competition from the clouds. And the competition from the clouds is more born of customer mandates and company mandates. Sometimes they I'm not quite sure that everybody knows why there who think to the cloud and we're problem they're trying to solve. But once they start to see a story that says, Hey, if the reasons are and you do understand those reasons, if the reasons are agility and financial flexibility and operational agility not as well as his acquisition agility, you know, we have answers to that and it starts to become a little bit more interesting and compelling. >> All right. One of the highlights of the M world each year is your dinner. Your customer I crashed in a couple of years ago when there were no other analysts there. And then last year again, it was in Vegas. Shows a nice steak house. This year we're in San Francisco, but But I had some great conversations with customers. I remember speaking to one customer about juxtaposing the sand thio to infinite debts platform. And you know the difference. The Sands taken off doing really well, but But he helped me understand the thinking from their standpoint of how they're applying it to solve problems and why v san wasn't a good fit. Your system was, um that was just one of many conversations last year had again other great conversations with customers. What do you do in this year? You have a customer dinner. We are? Yeah. We love to have you in and gave the invitation there. Yeah, the invitation. Is that definitely there? You know, a couple of >> years ago we didn't invite analysts, and you know what it was? It was a mistake. We and we learned that lesson into a large part. We credit you for for showing us how wrong we are. Our customers are very loyal. They're some of the most loyal in the industry. Don't take my word for it going. The gardener Pierre Insights and and look at our numbers compared to everybody else's any pick. Pick a vendor. We're at the top of the list with regard to not only the ratings but, more importantly, the customers willingness to recommend in every category, too. By the way, it's It's not just product quality and performance, and it's it's service support. It's easy doing business. It's an entirely different experience. So we love having the customers there, and the customers love having you there, too. They love having you and your appears in the industry there because they love learning from you and they love answering the questions and getting new insights. And we'd love to have you there. We're gonna be in the Mint this year. San Francisco meant not the not the current one that that's pretty coins, but the original historical site on duh. You know we have. We have invitations out thio to about 130 people because there's only so much room we have it at the event, but we're looking forward to a great time and a great meal and good conversation. >> That's great. Well, VM World is obviously one of the marquee events in our industry. It's the It's the fat middle of where the IittIe pro goes on dhe We're excited. Used to be Labor Day started the fall season. Now it's VM world. Well, Doc will see you out there. Thanks very much for your good to see you. All right. Excellent. All right. Thank you for watching everybody. This is day Volonte in the Cube will see you next time we'll see you at the M World 2019.

>> live from Boston, Massachusetts. It's the you covering your red hat. Some twenty nineteen brought to you by bread hat. >> Well, good morning. And welcome to Day three of our coverage here, Right? Had some twenty nineteen. We're live here on the Cube, were in Boston, Massachusetts, and was soon Merriman. I'm John Wall's. Glad to have you with us for our last day of coverage. We're now joined by the SPP. Adele Technologies. Pete. Myka, Pete. Good to see you this morning. And Pete, by the way, is coming with I'm sure song in this heart of smile on his face two and a half hours to get in today. >> It was a long drive in, but I'm here now. I'm excited to be here. This is a great show. And here with great partners. >> Yeah, the tough part's over, right? >> We're in Boston, not in Vegas, so that you gotta be a little >> bit there some consolation. Let's just first off, let's paint the umbrella here a little bit about the overall partnership between Delhi, um state right and red hat and how that's evolved. And currently, word stands with all the new releases I've heard about this week. >> Yeah, it's been a great partnership for almost two decades now, right? Della and red hat of working together on a lot of different products from ready stack are ready architectures and ready nodes to software sales. Support customer engagements has been a tremendous partnership for twenty years, and I expect to be going for another twenty years. >> All right, that's digging a little bit walking through the stacks, if you Well, so we understand. You know, Red Hat is an operating system, you know, long history working on, you know, all the del platforms. You've got the converge environment. Where where does red hat fit in? What pieces of there ever broadening portfolio fit in? >> Right. So really, on the ready solution side of the world, which is another part of the products I managed for Del. So within the ready solutions environment, we worked with red hat on open stack way. Deliver hardened, supported open stack products to both. Tell Cohen Enterprise Markets on that. We also deliver open shift and already noted ready solution environment so we can deliver that container men's container environment for those same enterprise and serves customers. >> Yeah, so if you know, the Cubans at, you know Del Technologies World last week and at that show in here, I >> saw a sizable >> break out for telecommunications. You know, we could talk a lot about Enterprise, but, you know, telcos got some certain special requirements needed to make sure it's certified for certain things and, you know, gotta be tested out. Maybe we talk a little bit about what those customers are looking for and why that match you red hat makes sense. >> Sure mean Telco really wants to have control over their environment they wantto have. Open source is a great technology for Tell Cole, right, and they love taking the technology customizing for their environment, reselling components to their end users in open stack from Red Hat is a perfect fit for that market. And so again, we deliver that and the hardened solution on top Adele Technologies on Del Partridge servers deliver that to the telco market and provide them the tools and the capabilities they need to deliver the solutions to their customers. >> What what is it? Let's go dive in just a little bit. Then about those specific traits or attributes, you think in terms of the telecom market goes, you know what is specifically about you think there needs that they find so attractive about open source and what makes them stand apart from other industry sectors. Yet to me, it's controlling >> customization. So rather than taking a packaged app that shrink wrapped in running it like everybody else, they want to get a customized control for their markets. They have certain as to mention they have certain standards and compliance you don't have to deal with. They also want to differentiate within that telecom market. So it's hard to do without having control around the underlying stack. I think those are the big attractiveness around. And then, um, you know that the solution from Red Hat combined with Dellis is such a enterprise quality product for the telecom market, which I think has certain advantages. >> Okay, so you mentioned you know, the ready solutions and open stack piece, and then on top of that, there could be open ships. So that's right, a news, you know, talk to you know, many of the customers, the executive team on the team here, open shift for showing good momentum over thousand customers. So how does that fit in with the solutions you're >> offering well, so we offer a ready solution for open shift this wall, right? And we see that as the container solution for the the market that really wants those open source type products and has a line themselves with red hat in Lenox. And so it's a perfect solution for that. And, you know, we really see Oprah shift as the ability to create a managed environment for containers as we saw from Polish Kino with Over shit for now provides a tremendous hybrid cloud experience for customers at one of my great workloads, both on premises to cloud and back. And so we think that's tremendous technology that we'll add value. And with our hardware technology underneath that we could provide a stack that we think services the market quite well. >> Yeah, it's funny, Pete, you know, you've got a lot of history and I've worked with you for many years on this the ultimate A lot of these technologies, you go back to server virtual ization. You look a container ization in Cuba. Netease. They're like, Well, we want to extract upto, allow the applications to be able to be modernized and do these wonderful things. And I shouldn't have to think about the infrastructure. Right. But we know what the end of the day It lives on something, and it needs to be good talk a little bit of things, like Corinne, eh? Tease. And you know where Del thinks they fit from an infrastructure standpoint compared to communities. >> Yeah. What we want to do is provide the infrastructure that makes it easy to four workloads and applications to preside on, including open shifting cabernets environments. Right? And so, really, what you want to do? And for years, as you say, we've got a lot of history in this. We've been trying to push that complexity and management up the stack. So the hardware and even the virtual ization layer and the container layer becoming afterthought, right? And you know, what I saw from open ship for is that really puts the power back into the application developers and makes it easier to manage and control your underlying harder environment. So, with tight integrations into the open ship community with our del technology Zach, we can provide that sort seamless infrastructure layer that allows the application developers to go do what they need to do not be worried about infrastructure management. >> Do you have any customer examples that might help highlight the partnership? >> Um, no, I >> don't have any good. I >> didn't I'm sorry. I didn't >> know the customer. Well, let's hope out for a little bit. And you talk about hybrid and what that's going to enable there, is that the, uh Oh, here we go for you on this in terms of what's new, What's the latest? I mean, what about the capabilities? You're going to get nowt for what's going to be offered and what is that? That's kind of jumping off the page to you. This is Yeah, this was worth the wait. Well, >> to me, it was all about the management in the automation, the underlying infrastructure just again taking that complexity away from the developers and putting it, um, allowing the application developers tools they need to do to very quickly developed applications, but also migrate them to the proper landing spot and maybe cloud one day and maybe on premises the next. You know, one of the beauties of cloud is is there are classes of applications that may not necessarily fit on a public cloud. You may not know that. Do you? Get there and you want to have the flexibility to push them out, see how they work and bring them back in and open Shift gives you all this capability open shit for yeah, >> eso Absolutely what we hear from customers. It it's not. The future is hybrid and multi cloud. It's today, and the future are voting hybrid and multi class today. To that point, I wonder if you could help us. Just It's not Dell specific, but VM wear made an announcement today that they're supporting open shift for on top of'Em. Where can you maybe t explain where that fits into the overall discussion? >> Yeah, So look, Dell's always writing choices, the customers and we want it we want to be. And we are the essential infrastructure company to the enterprise and commercial environments. And so open shift on VM were just another example of choice and customers. They're gonna have different location environments out there. They're going to run some containers. They're going to run. Some of'em are going to run some native way. Want to be the infrastructure provided for that. We want to work with partners like you had a choice to our customers. >> You know, we've heard a lot this week about flexibility, right on a scale and options and all. And I understand providing choice is a great thing, you know, the customers. But what does that do for you in terms of having to answer to all of that desire? The flexibility? Well, it's it's >> opportunity in this challenge, right? Supporting all these different environments, of course, is a challenge for engineering teams. But it's also opportunity if we want to be. And we are the essential, you know, hardware technology, player in the industry. We have to support all these leading platforms and open shifts. Just example of that. The >> challenge on that side of it. I get opportunity, but you have to develop that expertise We do know throughout your force, and that probably has its own challenges. >> It doesn't mean we have to have expertise only and our own technologies like VM wear, but also open shift and other technologies or red hat technologies. We have to higher and cultivate, um, open source engineers, you know, which is not always easy to find on DH. We have to develop those expertise that know how to integrate those components together. Rights, not just a matter of taking the software and laying on top of the next eighty six architecture and saying it's done way, want Toby to integrate that. So we provide the best experience to the customers. So having that capability to understand what's happening at the hardware infrastructure layer also, what's happening at the virtual ization and container layer is a critical piece of knowledge that we have to. We have to grow and continue to work with >> you. But what about, I mean, as far as the competitive nature of the work force, then I kind of thinking about It's almost like ways. The more people who use that, the tougher it is to get around right, Because so the more people who are moving toward open source, the more which is great. But it also the more competitive the hiring becomes, the training becomes that it does bring with it. Certainly I would say barriers by any means, but a different factor. >> It's a challenge across the entire industry right now, hiring good technical people, and it's not just on open source space. It's an all space is open source is a particular challenge because it takes a certain set of skills to work in that environment. Dell has a philosophy where we are continually looking at university hires and growing from within. We try to hire a CZ. Many new hires, new grads as we can, But the reality is we have to look everywhere in order to try to find those. Resource is very hard to come by, and it's very competitive to get these employees are these candidates. Once you find them, it's hard to get him in the head of environment. >> So it it's interesting. Just step back for a second here last week at your show, it was I opening to see such a nadella, you know, up on stage with Pak else, right? While Microsoft Environments have lived on V EMS for a long time, you know, far as I know the first time the two CEOs have been public scene together fast word to here. And once again we saw touching Adela up on stage with, you know, red hat. It's, you know, for years we think about the industry as to the competitive nature and what's going on and Who's fighting who. Multi cloud. It's not like it's everybody's holding hands and singing, you know, Cooper Netease, Kumbaya. But it is a slightly different dynamic today than it might have been >> is very different in the past. When there are maur infrastructure players, Mohr software players, you could pick your swim lanes. You can compete now, the lines are blurred, and cloud definitely has a lot to do with that. Right and hybrid Multi cloud has everything to do with that, because if your applications going run on eight of us one day on premises the next day in azure the next day you better have tools, processes and procedures that allow those applications the migrate across that multi cloud experience. And so what if forces vendors to do is get together and participate in a cooperative in whatever your favorite word is for competitors working together. But that's really what it is, is we've realized you look a Del Technologies UVM. Where is part of our family? But we're working with Red Hat. What, working with Microsoft and Red Hat, as you see, is doing the same thing. It's necessary in today's market in today's environment that you just have to do that. >> Well, Paul, you mentioned swim lanes. I hope the Express lane is open for you on the ride home. So good luck with that. Thanks for the time this morning, too. Good to see you. It's a home game for you. So it's not all bad. It's not all >> bad. No, this is a great place to be and a great event. I'm glad I could be part of the >> burger. Thanks for being with us. Thank you. Back with more live coverage here. You're watching the Cube. Our coverage, right. Had summat twenty nineteen.

>> 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