>>Thanks. Hey, everyone, welcome back to the cubes. Continuing coverage of snowflakes. Summit 22 live from Caesars Forum in Las Vegas. Lisa Martin here. I have three guests here with me. We're gonna be talking about Snowflake Ventures and the snowflakes start up Challenge. That's in its second year. I've got Harry Glaser with me. Co founder and CEO of Model Bit Start Up Challenge finalist Damon Bryan joins us as well. The CTO and co founder of Hyper Affinity. Also a startup Challenge Finalists. And Stephane Williams to my left here, VP of Corporate development and snowflake Ventures. Guys, great to have you all on this little mini panel this morning. >>Thank you. >>Thank you. >>Let's go ahead, Harry, and we'll start with you. Talk to the audience about model. But what do you guys do? And then we'll kind of unpack the snowflake. The Snowflakes challenge >>Model bit is the easiest way for data scientists to deploy machine learning models directly into Snowflake. We make use of the latest snowflake functionality called Snow Park for python that allows those models to run adjacent to the data so that machine learning models can be much more efficient and much more powerful than they were before. >>Awesome. Damon. Give us an overview of hyper affinity. >>Yes, so hyper affinity were Decision Intelligence platform. So we helped. Specifically retailers and brands make intelligent decisions through the use of their own customer, data their product data and put data science in a I into the heart of the decision makers across their business. >>Nice Step seven. Tell us about the startup challenge. We talked a little bit about it yesterday with CMO Denise Pearson, but I know it's in its second year. Give us the idea of the impetus for it, what it's all about and what these companies embody. >>Yeah, so we This is the second year that we've done it. Um, we it was really out of, um Well, it starts with snowflake Ventures when we started to invest in companies, and we quickly realised that there's there's a massive opportunity for companies to be building on top of the Lego blocks, uh, of snowflake. And so, um, open up the competition. Last year it was the inaugural competition overlay analytics one, Um, and since then, you've seen a number of different functionalities and features as part of snowflakes snow part. Being one of them native applications is a really exciting one going forward. Um, the companies can really use to accelerate their ability to kind of deliver best in class applications using best in class technology to deliver real customer outcomes and value. Um, so we've we've seen tremendous traction across the globe, 250 applicants across 50. I think 70 countries was mentioned today, so truly global in nature. And it's really exciting to see how some of the start ups are taking snowflake to to to new and interesting use cases and new personas and new industries. >>So you had 200 over 250 software companies applied for this. How did you did you narrow it down to three? >>We did. Yeah, >>you do that. >>So, behind the scenes, we had a sub judging panel, the ones you didn't see up on stage, which I was luckily part of. We had kind of very distinct evaluation criteria that we were evaluating every company across. Um and we kind of took in tranches, right? We we took the first big garden, and we kind of try to get that down to a top 50 and top 50. Then we really went into the details and we kind of across, um, myself in ventures with some of my venture partners. Um, some of the market teams, some of the product and engineering team, all kind of came together and evaluated all of these different companies to get to the top 10, which was our semifinalists and then the semi finalists, or had a chance to present in front of the group. So we get. We got to meet over Zoom along the way where they did a pitch, a five minute pitch followed by a Q and A in a similar former, I guess, to what we just went through the startup challenge live, um, to get to the top three. And then here we are today, just coming out of the competition with with With folks here on the table. >>Wow, Harry talked to us about How did you just still down what model bit is doing into five minutes over Zoom and then five minutes this morning in person? >>I think it was really fun to have that pressure test where, you know, we've only been doing this for a short time. In fact model. It's only been a company for four or five months now, and to have this process where we pitch and pitch again and pitch again and pitch again really helped us nail the one sentence value proposition, which we hadn't done previously. So in that way, very grateful to step on in the team for giving us that opportunity. >>That helps tremendously. I can imagine being a 4 to 5 months young start up and really trying to figure out I've worked with those young start ups before. Messaging is challenging the narrative. Who are we? What do we do? How are we changing or chasing the market? What are our customers saying we are? That's challenging. So this was a good opportunity for you, Damon. Would you say the same as well for hyper affinity? >>Yeah, definitely conquer. It's really helped us to shape our our value proposition early and how we speak about that. It's quite complicated stuff, data science when you're trying to get across what you do, especially in retail, that we work in. So part of what our platform does is to help them make sense of data science and Ai and implement that into commercial decisions. So you have to be really kind of snappy with how you position things. And it's really helped us to do that. We're a little bit further down the line than than these guys we've been going for three years. So we've had the benefit of working with a lot of retailers to this point to actually identify what their problems are and shape our product and our proposition towards. >>Are you primarily working with the retail industry? >>Yes, Retail and CPG? Our primary use case. We have seen any kind of consumer related industries. >>Got it. Massive changes right in retail and CPG the last couple of years, the rise of consumer expectations. It's not going to go back down, right? We're impatient. We want brands to know who we are. I want you to deliver relevant content to me that if I if I bought a tent, go back on your website, don't show me more tense. Show me things that go with that. We have this expectation. You >>just explain the whole business. But >>it's so challenging because the brothers brands have to respond to that. How do you what is the value for retailers working with hyper affinity and snowflake together. What's that powerhouse? >>Yeah, exactly. So you're exactly right. The retail landscape is changing massively. There's inflation everywhere. The pandemic really impacted what consumers really value out of shopping with retailers. And those decisions are even harder for retailers to make. So that's kind of what our platform does. It helps them to make those decisions quickly, get the power of data science or democratise it into the hands of those decision makers. Um, so our platform helps to do that. And Snowflake really underpins that. You know, the scalability of snowflake means that we can scale the data and the capability that platform in tangent with that and snowflake have been innovating a lot of things like Snow Park and then the new announcements, announcements, uni store and a native APP framework really helping us to make developments to our product as quick as snowflakes are doing it. So it's really beneficial. >>You get kind of that tailwind from snowflakes acceleration. It sounds like >>exactly that. Yeah. So as soon as we hear about new things were like, Can we use it? You know, and Snow Park in particular was music to our ears, and we actually part of private preview for that. So we've been using that while and again some of the new developments will be. I'm on the phone to my guys saying, Can we use this? Get it, get it implemented pretty quickly. So yeah, >>fantastic. Sounds like a great aligned partnership there, Harry. Talk to us a little bit about model bit and how it's enabling customers. Maybe you've got a favourite customer example at model bit plus snowflake, the power that delivers to the end user customer? >>Absolutely. I mean, as I said, it allows you to deploy the M L model directly into snowflake. But sometimes you need to use the exact same machine learning model in multiple endpoints simultaneously. For example, one of our customers uses model bit to train and deploy a lead scoring model. So you know when somebody comes into your website and they fill out the form like they want to talk to a sales person, is this gonna be a really good customer? Do we think or maybe not so great? Maybe they won't pay quite as much, and that lead scoring model actually runs on the website using model bit so that you can deploy display a custom experience to that customer we know right away. If this is an A, B, C or D lead, and therefore do we show them a salesperson contact form? Do we just put them in the marketing funnel? Based on that lead score simultaneously, the business needs to know in the back office the score of the lead so that they can do things like routed to the appropriate salesperson or update their sales forecasts for the end of the quarter. That same model also runs in the in the snowflake warehouse so that those back office systems can be powered directly off of snowflake. The fact that they're able to train and deploy one model into two production environment simultaneously and manage all that is something they can only do with bottled it. >>Lead scoring has been traditionally challenging for businesses in every industry, but it's so incredibly important, especially as consumers get pickier and pickier with. I don't want I don't want to be measured. I want to opt out. What sounds like what model but is enabling is especially alignment between sales and marketing within companies, which is That's also a big challenge at many companies face for >>us. It starts with the data scientist, right? The fact that sales and marketing may not be aligned might be an issue with the source of truth. And do we have a source of truth at this company? And so the idea that we can empower these data scientists who are creating this value in the company by giving them best in class tools and resources That's our dream. That's our mission. >>Talk to me a little bit, Harry. You said you're only 4 to 5 months old. What were the gaps in the market that you and your co founders saw and said, Guys, we've got to solve this. And Snowflake is the right partner to help us do it. >>Absolutely. We This is actually our second start up, and we started previously a data Analytics company that was somewhat successful, and it got caught up in this big wave of migration of cloud tools. So all of data tools moved and are moving from on premise tools to cloud based tools. This is really a migration. That snowflake catalyst Snowflake, of course, is the ultimate in cloud based data platforms, moving customers from on premise data warehouses to modern cloud based data clouds that dragged and pulled the rest of the industry along with it. Data Science is one of the last pieces of the data industry that really hasn't moved to the cloud yet. We were almost surprised when we got done with our last start up. We were thinking about what to do next. The data scientists were still using Jupiter notebooks locally on their laptops, and we thought, This is a big market opportunity and we're We're almost surprised it hasn't been captured yet, and we're going to get in there. >>The other thing. I think it's really interesting on your business that we haven't talked about is just the the flow of data, right? So that the data scientist is usually taking data out of a of a of a day like something like Smoke like a data platform and the security kind of breaks down because then it's one. It's two, it's three, it's five, it's 20. Its, you know, big companies just gets really big. And so I think the really interesting thing with what you guys are doing is enabling the data to stay where it's at, not copping out keeping that security, that that highly governed environment that big companies want but allowing the data science community to really unlock that value from the data, which is really, really >>cool. Wonderful for small startups like Model Bit. Because you talk to a big company, you want them to become a customer. You want them to use your data science technology. They want to see your fed ramp certification. They want to talk to your C. So we're two guys in Silicon Valley with a dream. But if we can tell them the data is staying in snowflake and you have that conversation with Snowflake all the time and you trust them were just built on top. That is an easy and very smooth way to have that conversation with the customer. >>Would you both say that there's credibility like you got street cred, especially being so so early in this stage? Harry, with the partnership with With Snowflake Damon, we'll start with you. >>Yeah, absolutely. We've been using Snowflake from day one. We leave from when we started our company, and it was a little bit of an unknown, I guess maybe 23 years ago, especially in retail. A lot of retailers using all the legacy kind of enterprise software, are really starting to adopt the cloud now with what they're doing and obviously snowflake really innovating in that area. So what we're finding is we use Snowflake to host our platform and our infrastructure. We're finding a lot of retailers doing that as well, which makes it great for when they wanted to use products like ours because of the whole data share thing. It just becomes really easy. And it really simplifies it'll and data transformation and data sharing. >>Stephane, talk about the startup challenge, the innovation that you guys have seen, and only the second year I can. I can just hear it from the two of you. And I know that the winner is back in India, but tremendous amount of of potential, like to me the last 2.5 days, the flywheel that is snowflake is getting faster and faster and more and more powerful. What are some of the things that excite you about working on the start up challenge and some of the vision going forward that it's driving. >>I think the incredible thing about Snowflake is that we really focus as a company on the data infrastructure and and we're hyper focused on enabling and incubating and encouraging partners to kind of stand on top of a best of breed platform, um, unlocked value across the different, either personas within I T organisations or industries like hypothermia is doing. And so it's it's it's really incredible to see kind of domain knowledge and subject matter expertise, able to kind of plug into best of breed underlying data infrastructure and really divide, drive, drive real meaningful outcomes for for for our customers in the community. Um, it's just been incredible to see. I mean, we just saw three today. Um, there was 250 incredible applications that past the initial. Like, do they check all the boxes and then actually, wow, they just take you to these completely different areas. You never thought that the technology would go and solve. And yet here we are talking about, you know, really interesting use cases that have partners are taking us to two >>150. Did that surprise you? And what was it last year. >>I think it was actually close to close to 2 to 40 to 50 as well, and I think it was above to 50 this year. I think that's the number that is in my head from last year, but I think it's actually above that. But the momentum is, Yeah, it's there and and again, we're gonna be back next year with the full competition, too. So >>awesome. Harry, what is what are some of the things that are next for model bed as it progresses through its early stages? >>You know, one thing I've learned and I think probably everyone at this table has internalised this lesson. Product market fit really is everything for a start up. And so for us, it's We're fortunate to have a set of early design partners who will become our customers, who we work with every day to build features, get their feedback, make sure they love the product, and the most exciting thing that happened to me here this week was one of our early design partner. Customers wanted us to completely rethink how we integrate with gets so that they can use their CI CD workflows their continuous integration that they have in their own get platform, which is advanced. They've built it over many years, and so can they back, all of model, but with their get. And it was it was one of those conversations. I know this is getting a little bit in the weeds, but it was one of those conversations that, as a founder, makes your head explode. If we can have a critical mass of those conversations and get to that product market fit, then the flywheel starts. Then the investment money comes. Then you're hiring a big team and you're off to the races. >>Awesome. Sounds like there's a lot of potential and momentum there. Damon. Last question for you is what's next for hyper affinity. Obviously you've got we talked about the street cred. >>Yeah, what's >>next for the business? >>Well, so yeah, we we've got a lot of exciting times coming up, so we're about to really fully launch our products. So we've been trading for three years with consultancy in retail analytics and data science and actually using our product before it was fully ready to launch. So we have the kind of main launch of our product and we actually starting to onboard some clients now as we speak. Um, I think the climate with regards to trying to find data, science, resources, you know, a problem across the globe. So it really helps companies like ours that allow, you know, allow retailers or whoever is to democratise the use of data science. And perhaps, you know, really help them in this current climate where they're struggling to get world class resource to enable them to do that >>right so critical stuff and take us home with your overall summary of snowflake summit. Fourth annual, nearly 10,000 people here. Huge increase from the last time we were all in person. What's your bumper sticker takeaway from Summit 22 the Startup Challenge? >>Uh, that's a big closing statement for me. It's been just the energy. It's been incredible energy, incredible excitement. I feel the the products that have been unveiled just unlock a tonne, more value and a tonne, more interesting things for companies like the model bit I profanity and all the other startups here. And to go and think about so there's there's just this incredible energy, incredible excitement, both internally, our product and engineering teams, the partners that we have spoke. I've spoken here with the event, the portfolio companies that we've invested in. And so there's there's there's just this. Yeah, incredible momentum and excitement around what we're able to do with data in today's world, powered by underlying platform, like snowflakes. >>Right? And we've heard that energy, I think, through l 30 plus guests we've had on the show since Tuesday and certainly from the two of you as well. Congratulations on being finalist. We wish you the best of luck. You have to come back next year and talk about some of the great things. More great >>things hopefully will be exhibited next year. >>Yeah, that's a good thing to look for. Guys really appreciate your time and your insights. Congratulations on another successful start up challenge. >>Thank you so much >>for Harry, Damon and Stefan. I'm Lisa Martin. You're watching the cubes. Continuing coverage of snowflakes. Summit 22 live from Vegas. Stick around. We'll be right back with a volonte and our final guest of the day. Mhm, mhm

>>From around the globe. It's the cube covering Fortinet security summit brought to you by Fortinet. >>Welcome back to Napa Lisa Martin here at the 40, that championship security summit. I'm pleased to welcome the CEO of links us who joins me next. Harry do Hurst, Harry, welcome to the program. Great to you're here we are in an in-person event. One, which is fantastic. Two we're outdoors, three we're in Napa. >>What's not to love. >>There's nothing, nothing not to love. So you had a session this morning. Talk to me about some of the things that you shared with attendees. >>So the session was, was talking about hybrid work and really the how to make that successful. And, you know, we, as a business have really focused making it, not just work for companies, but for companies to thrive and to really embrace, um, the hybrid work and, and, and extract the Mo the most benefit from it. So we, we spoke about the challenges that, that, that, uh, that has, and some of the solutions to, uh, to solving those challenges. >>Tell me about some of the solutions I'm very familiar with as someone who has been working from home for 18 months, some of the challenges I know, understand it too, from an enterprise security perspective, but what are some of the solutions that links us CS? >>So the solutions are fall into kind of three main categories. The first is of course having the best and latest wireless technologies. So that's wifi six wifi, um, it's of course, needs to be coupled with having a good pipe into your home, or all leveraging 5g and other wireless technologies to have, have great connectivity, then having mesh networking to enable it to be wall-to-wall coverage, seamless roaming between, between all the devices to mean that your, your network infrastructure within the home is very robust. Th th the second kind of pillar of, of, of solution is, is around. Now, you can bring enterprise grade security into the home. Typically it would sit in server cupboards in, in, in, in offices and now, um, with, with us and fortunate, we've created a product which brings that enterprise grade technology for the first time into the, into the home. So it managers no longer have to, um, compromise when it comes to security and they can apply the same policies that they would be doing in an office of 10,000 people to 10,000 offices that are in individual's homes. And, and that's a kind of a first, first world first, I would say, but, um, is going to be critical. And again, it, it, it's about moving from it's good enough to let's make it amazing. Um, and let's not compromise on something as critical as security and safety. >>Absolutely. We know we've spoken a lot with 40 net today and over the last year and a half about the massive changes to the threat landscape, the expansion of it, especially with this pivot, when suddenly there were all of these devices, personal devices on home networks, corporate devices on home networks, it's really changed, not just the threat landscape, but also what enterprises need to do. You guys, you mentioned this new announcement came out yesterday, the Linx has homework solution powered by Fordanet talk to us about that, the Genesis of it, and what we're enterprises can actually get access to this. >>Sure. So, so yeah, this is a product that really it's been a meeting of minds. You know, lynxes, lynxes are a leader and have been a leader since the very beginning of wireless. And, and we are, you know, a leader today. Um, Fortnite of course, we're a leader in enterprise security. So the two combined providing the best in class, uh, home internet experience coupled with, um, the, the security, which can be managed by the business. So when as a, as a, as an end user, as a, as a, as an employee, when I plug in this equipment, it automatically phones home to, to, to, to link LyncSys. And then in turn to force net, we know that it's Harriet LyncSys, that that has been been plugged in. It will spin up a network for me, personally, and my family to use in the home. So the, the benefit to the, to the, to the consumer is that there's a fantastic wifi, six mesh solution throughout their home, which is most likely a significant upgrade on their Verizon equipment or whatever it might be. Um, and it's been spins up a corporate network and that corporate network for all intensive purposes is, is imitating exactly like if you were sitting at your desk in the office, in the corporate office. So it becomes an extension of the corporate network. Um, and as I say, it sits behind, behind the FortiGate. >>Talk to me about the Genesis of the solution. Was it the pandemic, because lynxes has seen the challenges from the consumer centric point of view. Talk to me about really kind of the catalyst for these two powerhouses coming together. >>So it was actually something that we were working on three pandemic and fortunate work. We're, we're, we're also looking at how to support the remote work because remote work is not like totally new, this, this pandemic has rapidly accelerated it, but, um, there was already a market and growing, this has just accelerated it. So both businesses independently of one another, where we're kind of toying with it. So when, when we then kind of came together, it was, it was a no brainer. And there was a kind of light bulb moment. And, and we, we realized that the combined solution with the two businesses and bringing together the expertise from both was really, would be how, how we would succeed. >>Do you see any in the last, I know it was just announced yesterday, but any, any industries in particular that you think are really like low-hanging fruit for this type of technology? >>I mean, I think finance is of course, um, you know, there's the high stakes poker in, in that industry. So, um, same goes for healthcare, um, and, and, and even education. So ones that where security is paramount of, and of course security is paramount everywhere, but those ones in particular, given the nature of, of the, those industries. So, so we really expect to see banking, finance, healthcare, uh, pharma, as, as key verticals that we would, uh, we would expect to be successful. >>Okay, excellent. Well, one of the challenges with the ransomware increases, the 40 net threat landscape report showed it's nearly up 11% in the last 12 months. Of course, we have that rapid pivot to work from home 18 months ago, and ransomware and phishing and, and techniques and social engineering getting so much more sophisticated and personalized. Now you've got someone working from home who probably has a million distractions, kids, spouses, et cetera. So easy to click on a link that for most of it looks very legitimate. So having a solution like this in place is really critical for >>Absolutely. And, and I think, you know, until those vulnerabilities are sealed, you know, the attacks will continue. And this solution is part of the, the, the soul for that. Because as soon as, as soon as these, these holes in the bucket of a tape shut, um, you know, the, the appetite to, to invest time in, in attacks, we'll, we'll, we'll fade, >>Hopefully that's the direction that we need to see it going, right. Not up until the right down. Talk to me about, so you mentioned from the it perspective, I'm looking for the benefits for an enterprise, it organization, centralized visibility, they can see in terms of productivity. I imagine it's much better for the end user, but give me that kind of it business perspective, how does this help them come together? >>So for all intents and purposes, the it manager will see within their, their fortunate, uh, interface, these devices, these links devices in people's homes, just in the same way that they would see 40 gates in their office in New York or their office in Pittsburgh. So, um, you know, it really is this, there were 15,000 people in five offices. There's now 15,000 people in 15,000 offices, and, but they can push and manage an and, and push those security, um, policies seamlessly down to all 15,000. They can categorize them. They can, they can do fall intensive purposes. Those, those employees are sitting in the, in one of their facilities. And, and that's really the, the bar that I believe companies should be holding themselves to because, um, it, it provides security for the company. It provides security for the employee, and of course, then by them being able to connect efficiently and secure securely and with great speed and no interruption, that's good for productivity, which is good for the company's profitability. >>Absolutely. It's all interconnected. And this is tuned for video conferencing. Is that >>Yes. So, so we've actually partnered with, um, both zoom and teams, Microsoft teams to, um, we've done an integration with them whereby we're able to identify and optimize that traffic within the network. So, so that adds an added benefit to, to users of those services. And we'll, we'll, we'll be rolling out further, um, partnerships with other key, um, utilities that enable that to optimization to, to, to help it be streamlined. >>So prioritize zoom and teams for the parents kick the kids >>Off. I mean, we've all experienced. The apple TV gets fired up, zoom goes down or, or fought for fortnight, uh, gaming sessions cause you know, havoc within the home. So it it's that application prioritization and optimization that, that I think will also really benefit, um, companies and the employees. The, the frustration is immense. >>I agree I've experienced some of that, but what you're really doing is providing a very secure lifeline that the enterprise needs, the employee needs. It, it's all tied together, productive employees, that our customer experience that our products and services it's, it's really these days, especially considering we don't know how much longer this is going to persist. We expect that there will be some amount of hybrid that will probably be permanent, but that's a lifeline. >>Yes, no, absolutely. I think to your point around the permanence of this, you know, of course we're not all going to be hermits and leave live at home forever, but that, you know, I think this has opened both companies and individuals eyes to what's possible. And I think if you implement these, these types of measures, then you you're setting it up for success. And, and, um, you know, I believe that the solution that we've launched is, is a part of the, the, the piece of the puzzle. >>Maybe the acceleration of it had a bit of a silver lining from what we've all experienced in the last 18 months. Yes. Yes. Talk to me about some of the comments and the feedback that you got from your session this morning. I'm sure people are very excited to hear about what you're doing. >>Yeah. I mean, since, since the announcement came out yesterday, there's been, there's been certainly a lot of interests in appetite. Um, and yeah, we're super excited about the reception it's received. Um, I think that a lot of people that are like, oh, wow, of course, why, why wouldn't this exist already? Um, and, and when you look at it like that, it kind of is obvious, but it, you know, no one expected of course the pandemic and therefore the, no one was ready for it and it's taken us a year or so to, to get a product that's, that's, that's viable and ready and going to be going to be really, really, um, a great utility for companies, but there really was nothing else out there. >>It is surprising in a sense, but then you're right. No one was prepared for the pandemic. We didn't see it coming. And we didn't think that this was a situation that we were going to have to prepare for, let alone live for as long as, as TBD, long as we have. >>Yeah, no, absolutely. That's um, I think it caught everyone by surprise. I think maybe if, if it had happened several years later than the hybrid work movement had started, it was in its infancy. It got very, very quickly ramped up to adulthood. >>I definitely >>Did. So, uh, so great news, very exciting. What you guys are doing with 49. I'm sure that there's going to be great customer feedback. We'll be excited to watch what happens as it gets deployed and rolled out and see how this really transforms the enterprise experience, the employee experience. And I imagine this is a great differentiator for links us business. No. Um, I think it's, it's a really exciting next chapter of, of our, of our history. You know, we've been around for 30 plus years and, um, I think this is, this is a real step change in, in, in where we're focused and I'm super excited about the future. >>I like that change in the future. Well, here we are in beautiful Napa. You said you're not a golfer, but your wife has, >>My wife is golfing. I I'm going to be keeping very many fingers crossed tomorrow during the program for this, for the safety of the spectators. >>That's awesome that she's in the program and here you are settled with all these meetings and all those >>Things. >>Exactly. Well, Harry, it's been a pleasure talking to you. Thank you for joining me on the program, explaining the links as homework solution powered by 49 and all the great things that are going to come from that. Thank you for Harry. Do Hurst. I'm Lisa Martin. You're watching the cube and Napa at the 40 minute security championship.

>> Live from Orlando, Florida its theCUBE covering Enterprise Connect 2019. Brought to you by Five9. >> Hello from Orlando, Lisa Martin with Stu Miniman theCUBE. We are live, day three at Enterprise Connect 2019. We have been in Five9's booth all week and we're very excited to welcome to the program for the first time Harry Moseley the CIO of Zoom Video Communications. Harry thanks so much for joining Stu and me on The CUBE today. >> Lisa, Stu its a pleasure to be here, thank you for having me. >> And you're a hall of famer, you have been inducted into the CIO Magazine's hall of fame and recognized as one of the world's top 100 CIO's be Computer World >> Yes that's right >> So we're in the presence of a VIP >> (chuckles) Well thank you for that it's, as I say its all credit back to the wonderful people that have supported me throughout my career. And I've worked with some amazing people and leaders and, who have supported me and the visions that I've created for their organizations. And so, I understand its about me but it's also about the great teams that I've worked with in my past. I can't make this stuff up, yep. >> Harry, we love talking to CIO's especially one with such a distinguished career as yours 'cause the role of CIO has gone through a lot of changes. IT has gone through a lot of changes. You know we've been doing this program for nine years. Remember reading Nick Carr's IT, does IT matter? And you know, we believe IT matters more than ever Not just IT, the business, the relationship maybe give us a little more of your view point as to the role of the CIO and technology, at a show like this. We hear about the CMO and the business and IT all working together. >> Yeah so its actually, in my opinion, there's never been a better time to be a CIO, irrespective of the company you are in, whether its a tech company like where I'm, you know Zoom Video Communications or any one of the prior companies I worked for, professional services, financial services. But even when you think about it like trucking, You think about trucking as an industry, you think about trucking as a company, its like it was a very sort of brick and mortars? But now its all about digital, right? A friend of mine runs a shipping container company and to think that they load five miles of wagons every day. And so I said to him, "how long does it take to load a wagon on a truck?" "It takes four minutes, and you know what Harry, "we're working that down to three. "And that'll increase our revenue by 20 to 25 percent.' And so its just fantastic. And the pace of change, you know it's just growing exponentially. It's just fascinating, the things that we can actually do today we only dreamed about them a year ago. And you think about it sort of' I can't wait to be back here next year, 'cause we're going to just lift the roof off this place in terms of the capabilities. And so its fantastic, yeah it's just absolutely fantastic. >> So looking at, a lot of us know Zoom for video conferencing and different things like that, but you said something very interesting in your fireside chat this morning that I hadn't thought about, and that is when, either going from audio to video, when you're on a video chat you really can't or shouldn't multi-task. So in terms of capturing peoples attention, enabling meetings to happen maybe more on time, faster, more productive. Thought that was an interesting realization, I thought, you're right. >> It just clicks, it just works. You know mobile, you know when I go back to my you know sort of' going back and again, thank you for the recognition from the key note. But when I go back earlier in my career it's like dialing that number, dialing that ten digit number, misdialing that number, what happened? I got to' hang up, I got to' get a dial tone, I got to' dial the numbers again. Now I'm like two minutes late and I know I'm late more often than I'd like, but when its late because of something like that, that's frustrating. That's really frustrating. And so the notion that you can just click on your mobile device, you can click on your laptop, I have no stress anymore, in joining meetings anywhere. I love telling the story about how I had a client meeting, I was in O'Hare Airport and I joined the client prospect meeting. I joined the prospect meeting on my phone using the free wifi service at O'Hare Airport. Put up my virtual background on my phone I just showed you this Stu, with our logo shared the content off of my phone 18 minutes into this 30 minutes call, the person I was talking to, the CIO for this firm called a halt to the meeting. This is what exactly what happened. Enough, I've heard enough. (announcement in background) >> Keep going. >> Keep going, okay. Enough, I didn't know what enough meant. And so I was a little spooked by that if you will. He goes, "you're on a phone, you're in O'Hare Airport, "you've got a virtual background, "you're sharing content, its all flawless. "Its like this is an amazing experience "that we can't get from all the technology "investment we've done in this space "for our company. "So guys, enough. "We're starting a proof of concept on Monday. "No more discussions about it. "Harry, looking forward to being a business partner." >> Does it get better than that? >> It doesn't get better than that. Its like you know, you hop through security, you get on a plane, and its cruisin' all the way home. >> Yeah I mean Harry, I do have to say, you know disclaimer, we are Zoom customers I'm actually a Zoom admin and its that simplicity that you've built into it is the experience, makes it easy. >> And then when you, and Stu, sorry to interrupt you but I got really excited about this stuff as you can tell. But, and then you look at the enterprise. So you're admin? You get into the enterprise management portal and its like Stu, I had a really bad experience. Oh let me look that up, oh yeah, okay. Where were you? You know, I was in outer Mongolia Ah okay, about five minutes into the call you had some packet loss, its like yeah it wasn't. But it still maintains the connection, right? So you can actually, so our Enterprise Management Portal is awesome. >> Yeah so that actually where I was going with the question, is you know I remember back, I actually worked for Lucent right after they spun out from AT&T. And we had videos talking about pervasive video everywhere, in my home in the business. Feels like we're almost there but still even when I have a team get together my folks that live in Silicon Valley, their connectivity's awful. You know when they have their, and its like oh well my computer or my phone don't have the cycles to be able to run. Maybe we have to turn off some of the video Are we getting there, will 5G solve some of these issues? Will the next generation of phones and computers keep up with it? Because it's, I'm sure you can guess we're big fans of video. It's a lot of what we do. >> Because video is the new voice, right. We like video. If I can only hear you and I can't see you, then when I make a statement I can't see you nodding. If I say something you like, you nod. So we get that concurrency of the experience Again it comes back Stu, where were we a year ago? The capabilities we had, where will we be a year from today? Whether its AI, whether its the power in the device in front of us whether its the network, you know, 5G is becoming a reality. It's going to take some time to get there but you've got sort of great technologies and capabilities, that you know, you look at the introduction of our real-time transcription services. I mean how cool is that? I'm sure there's lots of questions, so lots of people would ask about that real-time transcription in terms of, well what's next? I'm not going to talk about what's next. But as they say in life, watch this space. >> Yeah, just you made some announcements at the show with some partners I actually believe Otter AI is one of the ones you mentioned there. I got a demo of their thing, real time, a little bit of AI built in there. Can you talk about some of those partnerships? >> Yeah so we have great, we love our partnerships right? Whether its on the AI space, with Apple and Siri and Amazon and Otter. We also love our partnerships with Questron and Logitek and HP, and Polly of course. Again its the notion of, we have terrific software. You guys realize that, right? Its terrific software, proprietary QOS proprietary capabilities, its like its a fantastic experience every time on our software. These partners have great technologies too. But they're more on the hardware side, we are software engineers at our core. As Andreson said, I think it was about ten years go, "software is the easing thing in the world "so you take terrific software "you imbed it in terrific hardware "with terrific partners and what happens "is you get exceptional experiences." And that's what we want to deliver to people. So its not about the technology, its about the people. Its about making people happy, making easy, taking stress off the table. You go to the meeting, you light it up, you share the content, you record it, you can watch it later, its just terrific. >> So the people, the experiences you about we've been hearing that thematically for the last three days. As we know as consumers, the consumer behavior is driving so much of this change that has to happen, for companies to not just digitally transform, but to be competitive. We're in Five9's booth and they've mentioned they've got five billion minutes of recorded customer conversations. You guys can record, but its not just about the recording of the voice and the video and the transcription. Tell us about what you're doing to enable the context, so that the data and the recordings have much more value. >> Yeah so , I mean its the notion of being able to sort of rewind and replay. I'll give you another example if I may. Coming out of an office in Palo Alto jumped in the Uber, going back to San Jose for a client meeting. I'm a New Yorker as we talked about a few minutes ago and, I don't know the traffic patterns in Southern, in the Valley. And its about 5:00 o'clock, 5:15. San Jose meetings 5:45. Normally it would be fine, but its rush hour, what do I know about rush hour? I know a lot more now than then. I realize I'm not going to be able to make it on time. Put up the client logo, virtual background on the phone, in the Uber, client gets on the call, Harry where are you? I'm in the back of an Uber. Again, the same sort of experience. Then he asks the question, "well with this recording capability, "can I watch it at 35,000 feet?" Of course you can. And that was it. That was the magic moment for this particular client, because he said "I'm client facing all the time. "I don't get it in time, "I don't always make my management meetings "so I won't have to ask my colleagues what happened "and get their interpretation of the meeting. "I can actually watch the meeting "when I'm at 35,000 feet on a plane, going to Europe." So that's what this is all about. >> Alright, well Harry obviously this space excites you a bunch. Can you bring us back a little bit? This brought you out of retirement and the chase, the space is changing so fast. We come a year from now, what kind of things do we think we'll be talking about, and what's going to keep you excited going forward? >> So lets talk about the first part first and then sort of' break it into two. So yes I had a fantastic career and I retired and so when I met Eric and I met the leadership team at Zoom and I dug into the technology and I understood sort of' A, the culture of the company which is amazing. When I understood the product capability and how this was built as video first, and how we would have this maniacal focus if you will on sort of being a software company at our core. And how it was all about the people. That was sort of a very big part of my decision. So that was one. Two is, look we have a labor shortage right? We can't hire enough people, we can't hire the people, we have more jobs than we have people. So and so, retaining talent is really important. Giving them the technology and the studies that have been done, if you make an investment in the technology, that helps with retention. That helps with profit. It helps with, product innovation. So investment in the people. And the ability to collaborate. It's very hard to work if you don't collaborate, right? It just makes it really, very lumpy if you will. So the ability to collaborate locally, nationally, and globally, and people say, well what's collaborating locally? It's kind of like we can just walk down the corridor. Yeah, well if you're in two different buildings how do you get there? And then it gives us, a foot of snow between you, its makes it really hard. So collaborating locally, nationally, and globally is super important. So you put all that together that was the, what convinced me to say okay you know what, retirement, we're just going to put a pause button on that. And we're going to gave some fun over here. And that really has been, so I've, over a year now and its been absolutely amazing. So yes, big advances. What's in the the future? I think the future, you know there's been a lot of discussion around AI. We hear that its like, all the time. And we've seen from a variety of different providers this week in terms of their, their thoughts around how they're going to leverage AI. Its not about the technology, its about the end of the its about the user experience. And you look at the things that we started to do, we talked about real-time transcriptions a few moments ago, you look at the partnership that we have with Linkedin where you can hover over the name and their Linkinin profile pops up. You're going to see this, I just see this as an exponential change in these abilities. Because you have these building blocks today that you can grow on an exponential basis. So, the world is our oyster, is how I fundamentally think about it. And the art of the possible is now possible, And so lets, I think the future is going to' be absolutely amazing. Who would have, sorry Lisa, who would have thought a year ago, you could get on a plane using facial recognition? Let me just throw that out there. I mean, that's pretty amazing. Who would have thought a year ago that when you rent a car, you can just look at the camera on the way out and you're approved to go? Who would have thought that? >> So with that speed I'm curious to get your take on how Zoom is facilitating adoption. You mentioned some great customers examples where your engagement with them via Zoom Video Conference basically sold the POC in and of itself, with you at an airport >> That's a great questions. >> I guess O'Hare has pretty good wifi. >> What's that? >> O'Hare has pretty good wifi. >> A little choppy but, but it worked. >> It worked. >> Because of our great software, yeah. >> There you go, but in terms of adoption so as customers understand, alright our consumers are so demanding, we have to be able to react, and facilitate collaboration internally and externally. How, what are some of the tools and the techniques that Zoom delivers to enable those guys and gals to go I get it, I'm going to use it, And I'm actually going to actually use it successfully? >> This is a question, I don't know how many clients, CIOs, CTOs, C suite execs I talk to, and they all say, they all ask me similar sorts of questions. Like we're not a video first culture. Its like video, its kind of like we're a phone culture. And then I, so I throw that right back at them and I say and why is that? Because we don't have a good video platform. Aha. Now, when you have good video, when it just works when its easy, when its seamless, when its platform agnostic. IOS, Andriod, Mac, Windows, Linux, VDI, web. When you have this sort of, this platform when you're agnostic to the platform, and its a consistent high quality experience, you use it. So its the notion of, Lisa, it's the notion of would we rather get into a room and, would we rather get into a room and have a face to face meeting? Absolutely. So why would you get on a call and not like to see the people you're talking to. You like to see the people. Why, because its a video first. >> Unless its just one of those meetings that's on my calender and I didn't want to be there and I'm not going to listen. But I totally agree with you Harry. So, another hot button topic that I think we're at the center of here and that I'm sure you have an opinion on. Remote workers. So we watched some really big companies I think really got back in the dialogue a coupla' years ago when Yahoo was like okay, everybody's got to' come in work for us and we've seen some very large public companies that said you need to be in your workforce. and as I said, I'm sure you've got some pretty strong opinions on this >> I don't know what's going on here, quite honestly Stu but its like I think you're reading my brain because these are things I love talking about. So yeah, its. Sorry repeat the question? >> Remote workers. >> Remote workers, yeah. So first of all, I was at an event recently we talked about remote work. We didn't like the term. Its a distributed workforce. >> Yes. Because if you say you're a remote worker its kind like, that doesn't give you that warm feeling of being part of the organization. So we call it, so we said, we should drop calling people remote workers and we should call them a distributed work force. So that's one. Two is, I'm in New york, I'm in Orlando, I'm in Chicago, I'm in Atlanta, I'm in Denver. I'm on planes, I'm in an Uber. I don't feel disconnected at all. Why? Because I can see my colleagues, and its immersive. They share content with me. I'm walking down Park Avenue and I've got my phone and they're sharing content and I'm zooming in and I can see them and I can hear them and I'm giving feedback and I'm marking up on my phone, as I'm walking. So I don't feel, and then when I go to, its fascinating, and then I go to San Jose and I'm walking around the office and I'm seeing people physically. It doesn't feel like I haven't seen them, its really funny. I was in San Jose last week, Wednesday and Thursday in San Jose, took the red-eye back. Hate the red-eye but, I don't like flying during the day, I think it's inefficient, a waste of time. Took the red-eye back, now I'm on calls Friday morning from my office at home with my green screen, Zoom background and everybody's got, it's like I'm talking to the same people I was talking to yesterday but they were in the flesh, now they're on video. It's like Harry where are you, why didn't you come to the room? Well I'm back in New York. It's just just that simple, yep. >> That simple and really it sounds like Harry, what Zoom is delivering is a cultural transformation for some of these newer or older companies who, there is no reason not to be a video culture. We thank you so much for taking some time >> Thank you, thank you >> To stop by theCUBE and chat with Stu and me about all of the exciting things that brought you back into tech. and I'm excited to dial up how I'm using Zoom. >> Well we can take five minutes after this and I can show you some cool tricks >> Wow, from the CIO himself. Harry Moseley, thank you so much for your time. >> Thank you, thank you >> Great to have you on the program. For Stu Miniman, I'm Lisa Martin and you're watching theCUBE (upbeat tune)

(cheerful orchestral music) >> Hi, I'm Peter Burris and welcome once again to the CUBE Conversation from our studio in Palo Alto, California. With all CUBE Conversations, we pick a topic and we get down to the meat of it and we're going to do that today as well. The topic today is the role that data's playing in an organization, but even more importantly, the changes that the organization has to make to take advantage of data assets. And to have that conversation, we've got Harry Glaser, who's the CEO and Co-Founder of Periscope Data, with us today. Harry, welcome to theCUBE. >> Hey, it's great to be here, thank you Peter. >> So introduce yourself. Who are you? >> Yeah, I'm Harry, I'm the Co-Founder and CEO of Periscope Data. So, we started this company gosh, six years ago in my CTO's second bedroom. And we've scaled it to about 1,000 customers, about 150 employees, all in downtown San Francisco. >> And Periscope Data does? >> Yeah, we make a platform for data teams. So data teams play this increasingly important and powerful role in organizations where they drive the way the company makes decisions with data. And we make their system of record, their source of truth, the platform that they use to do all their work within those organizations at places like HBO, and Uber, and Harvard. >> Okay, so let's talk about data teams. >> Sure. >> 'Cause it starts there. A lot of organizations are trying to adopt practices >> Yup >> Associated with better utilization of data and are failing partly because it's catch-as-catch-can. >> Sure >> It's everybody's responsibility to figure out what data is, where it came from, what the value is, and how their going to use it. >> That's right. >> That sounds to me like, the notion of a data team says, No, we have to bring some degree of >> Yup >> At least centralization in thinking >> Yup. To make sure that we're exploiting data properly. Have I got that right? >> Yeah, that's exactly right Peter. So, often an organization will start working with data 'cause someone somewhere in the organization wants to. Maybe it's marketing. They hire a business analyst into marketing, then sales decides to do it, then they hire someone into sales. But to your point, it's catch-as-catch-can. So, marketing is looking at one view of data from the marketing world. Sales is looking at another view of data from the sales world. They get into big fights about what the truth is. There's no-one to arbit. It goes all the way up to the CEO, who has no fucking idea what's going on with this fight. Right? And that ultimately gets solved when you hire a centralized data team, ideally reporting to a Chief Data Officer, who can form a source of truth and form best practices in the organization for how they work with and make decisions with data. >> And presumably, take some responsibility for diffusing those practices >> Yeah >> And diffusing the data about the data to the rest of the organization. So you get more common utilization. >> That's right. So if you fast-forward a few years, now all the data is centralized and the data team is centralized, and they have formed a source of truth. Maybe they got into a fight about how many leads marketing delivered to sales. Marketing analyst says 10, sales analyst says we only got five. Now you have one source of truth, one piece of data that tells you how many leads. Analysts farmed out to the rest of the organization but farmed out from that central team where they have best practices and sources of truth. >> Okay so, presumably, there is some degree of maturity or questions of maturity >> Yeah >> Associated with these teams. Let's start with day one, I'm going to do this. What's the difference between that and someone who's a little bit further along? >> Yeah >> What's the first thing that a corporation needs to do day one? >> Yeah, day one is, if you're doing it right, day one people do all kinds of things that turn out to be wrong. But day one, if you do it right, you hire that Head of Data first and you empower them first to build that organization and to build that sort of center of excellence. A big mistake that you'll see is either hiring data people to fuse the organization or hiring a data team but stuffing it somewhere like Finance or IT. Those are service organizations. They are not driving their own, sort of, source of truth and business practice through the organization. You want your data person reporting to a COO or a CEO, and you want them to be empowered throughout the organization. >> So the way I've always thought about chief, and you tell me if this corresponds. >> Sure >> A chief is an individual who's in a business, who has responsibility for generating a return on the assets under their control. So the Chief Financial Officer is responsible for generating returns on assets. >> Yeah >> Returns and capital. You know, the COO is returns on people and the operations of the firm. Chief Data Officer, presumably then, would be responsible for generating a differential >> Yeah >> Return on data assets. >> Absolutely. So the CDO will take control of all the data being generated by all the various systems in the firm. Right? And then they'll be, like to your point, they'll be responsible for generating a return. Which is the returns from the improved decision making at the company. If we spend all this time hiring this data department and spend all this time logging and storing this data and we don't actually make better decisions at the company. What is the point? The whole point is that everyone else at the company now has an ability to make much better decisions. And that, those decisions lead to profits which are the return on the data. >> So, I'm the CEO Board, I don't have this today, my first job is to hire a CDO >> Yes. >> And give them responsibility for increasing the returns on the data assets within my business. >> So you'll, yes. >> So lets talk about, one year later >> Yeah. >> We've hired a bunch of people. How is a more mature data team operating? >> Yeah, so there's a number of things and they all happen in lockstep. You will have data people, who are much more mature and advanced in their careers and their skill sets. People are advancing in their maturity. Your first analyst might be really good with Excel pivot tables. Few years later, you're going to have people under the Chief Data Officer who are data scientists who work with machine learning and AI capabilities, miles beyond your Excel pivot tables. So that's one thing. The other thing is how are decisions made throughout the company? So on day zero, your chief revenue officer maybe comes into a meeting and goes, you know we're going to sell this way, because this is how we sold this way at my last company, and I know it's the right way to sell based on my years of experience. Fast forward five years and they're going to go, the data shows me that we need to sell in a different way. That we've been selling in a couple of different ways and this is the most profitable way, and I can see that in the data. And so the CEO should expect as a return on hiring this data organization, the people who are coming to him or her with their decisions are backing it up with data, as a result of this CDO and their organizations work. >> Yeah, and that doesn't diminish the value of that Chief Revenue Officer's experience. >> Of course not >> But it just gives them an opportunity to test a proposition, see if it worked, test a proposition, and improve things over time, right? >> A good test is, the CDO and their people should be the most popular people in the organization. Everyone loves them, because they bring free value all the time. The CRO has probably almost certainly comped on the revenue they generate for the company. So if they've got data scientists helping them generate more revenue, that's awesome, that's money for the CRO. That's great, so they should be very popular. If you have a CDO who's getting in everyone's way and causing friction, you probably don't have a good one, or something is wrong. >> Okay so the CDO is now installed, their power and their influence and their authority is accepted >> Yep >> By the organization. >> Yep >> Practices are changing. >> Yep >> Now, the next level of maturity, what are they focusing on? >> Yep >> Let me give you a little bit of a background as I think about this because I look back at history and you see over and over and over functions that have processes. >> Yep >> Some that come from the outside, some might be developed inside, and they try to instantiate, they try to manifest those processes in software. >> Yeah >> Because it helps improve the productivity of their people, the certainty of the operation, the certainty of execution. >> Yep >> So I'm into this process, but it's taken me some time. What do I do to accelerate my maturity? >> Yeah so I think there's a number of things that it's driven from the people. But if you start, you know, day zero, maybe you can't even get the data that you want or you don't know that you want the data. The CDO helps you, gets the data and helps show you what it is, and you at least understand the data and you can start making some decisions. Then they start joining the data together. So maybe I was like, okay, now I can see what I'm spending on marketing and what the return is, whereas I couldn't before. But you still can't say, okay what's my total spend to acquire a customer? Until you merge the marketing and the sales data. So now you merge into a single source of truth, you resolve all the conflicts and differences between the organizations, that's good. Then you start predicting the future. And this is where the CDO kind of takes control of the discussion. Because previously we were going, maybe we started from a place of sales and marketing, we wanted a thing and can't have it. Then, the CDO staffs up, builds the technology and answers the questions, and this is where they get popular. But then they start driving the discussion. Well, hang on, I can hire some data scientists and I can build some machine learning, and I can actually predict based on all the inputs, run all the scenarios for the future of the business, and go, this scenario is best. So let's actually invest this way. And so now they're proactively bringing differentiated value based on technology that the company, and the capabilities of the company, did not even know about until they started hiring this team. And so you know, in a very mature organization the data team is actually driving the business towards what decisions they should be making, and is kind of in a much more powerful position, even than some of the other chiefs. >> But I want to talk a little bit about that notion of the future. >> Yeah sure. >> Because as someone who has been something of a student of the way that business uses data historically, it's interesting that a lot of the OLTP generation was recording what happened. >> Yes >> So it's really using technology to better understand the past. >> Yep. >> And then personal productivity in many respects, was how do I build a consensus amongst different thinkers about what's going to happen a little bit further in the future. >> Sure. >> So the Excel pivot table, often is used to forecast two, three years out. >> Yeah. >> Get people to agree that that's where we want to go. >> Yep. >> But you're talking about a more immediate notion of a future. The future that's relevant to the Chief Revenue Officer. >> Yeah. >> Like in the next quarter, or the next couple of quarters, have I got that right? >> It's both. I would say yes the Excel pivot table is used to forecast the future, typically in a relatively straight line fashion from what's happened in the past, and that's great. But when you really have a mature data team and you really have a strong source of truth, you might say actually, you know, the thing that drives revenue more than anything is not the historical revenue trend, but it's the number of active users of your product. Let's say, for example. Or does the viewership of your video get past the halfway mark? Those are your best customers and if we can drive more of those customers we get a sort of differentiated value. And so that requires a more sophisticated technical approach than the simple Excel pivot table. >> Right but still, at the end of the day what you're doing is you're allowing data to drive your next action. >> Yes, that's right. >> And that's different from a historical process orientation. >> That's right. >> Where you let the process drive your next action. >> That's exactly right. And to your point you end up requiring a more agile organization, because you're going to be getting more and more insights over time, and changing direction based on those insights. As oppose to saying, here's my process, let's just run the process. >> Okay so, you've mentioned a couple of times the notion of a system of record for the CDO. >> Yeah >> And you know, ERP was kind of the CFO's software platform for running the finance of the business. What role does Periscope Data play in the world of the CDO? >> Yeah I mean I think your analogy is exactly right. So all of these chiefs, all of these departments will have their systems of record. ERP for the finance team, CRM for the sales team, marketing automation system for the marketing team etc. And we provide that system of record and that source of truth for the data team. And that looks like a lot of different things. Tooling around, integrating the data so that you can build a single source of truth with data. Storage options, in fact, multiple storage options for the data itself, so that you can run the analyses. The actual system that runs the analyses, so you might be writing SQL code or Python code in the product to perform the analyses, integrations with machine learning systems so that you can predict the future. And all the different ways that you want to share and publish the data out in the organization, all that happens together in Periscope Data, Chief Data Officer is managing all of those workflows so they can manage the whole flow of data through the organization within the product. >> So as a CEO, you know, pretend CEO right now. >> Sure. >> I hire my CDO, I empower them to generate a return on data. >> Yep. >> I give them the authority to do so. >> Yep. >> And at some point in time I have a team that's being diffused into the organization, but all this can be accelerated if I get the software that will help my people be more successful. >> Yes, in fact I would say you probably can't get past a certain level of maturity without differentiated software like Periscope Data, because it simply breaks. The volume of data you want to be working with in that top end of the maturity curve is so large, and the sophistication is so large, that you really do need differentiated tooling at that point. >> Okay so how is this going to change industries? >> (laughs) Yeah. >> So I've got all this stuff organized, because I have a thought I want to run by you. >> Sure. >> But from your perspective, how is this going to change the notion of industry? >> Yeah so I think that in every industry you at this point have sort of digital disruptors and you have the old guard. And the old guard is not necessarily dead, and I think you can see, we were talking moments ago about Walmart and the transformation they've made to digital and how that's become a real focus of the company. Great example of a company from the old guard that is by no means dead. But you do have to embrace the idea that the way you made decisions 10 years ago is not the way you're going to make decisions now. And by hiring this organization and empowering them with differentiated tooling, what you can do is have a much more data driven culture as a result. So you will watch them, as they get more mature with data, transform the way your company makes decisions. And it is a cultural change, right? The company becomes much more nimble and agile, probably has less management hierarchy and fewer layers, all of that kind of stuff. And it enables you to survive and thrive in a world where you are constantly being challenged by new digital disruptors. >> Yeah and I'll tell you, here's my observation on the whole concept of industry. Industry is a general way of describing how assets are organized. >> Makes sense. >> So a financial services forum has certain classes of asset, so your airplane manufacturer, >> Yep. >> Certain classes of assets, or a bottling company. And you can look at each of these different industries and say, oh, they have this common approach to thinking about what is valuable and how the assets get work, perform work. >> Yep. >> Data reduces asset specificity. >> Yep. >> Asset specificity is the degree to which an asset can be applied to a limited number of purposes. >> Yep. >> Data reduces that, makes assets more programmable, gives us a better job of monitoring. >> Yep. >> If we think about that so that the industry is a function of assets, therefore asset specificity, as more people do more data it reduces the barriers. It takes certain respects, it limits the impact of industry, and you end up with new types of competitors. >> Yep. >> New types of disruptors, that you didn't know about. What do you think about that? >> I think that makes sense, I mean we were talking also moments ago about the return on these assets right? And so, the CFO of a major public company will be primarily responsible for investing the company's financial assets across the globe, in a way that maximizes the return on those financial assets or minimizes the loss of those financial assets. And similarly with data, you will start to think about data as an asset, it will be the CDO's primary asset and the return on that investment in that asset will be the profits from the better decisions across the company that you wouldn't have had, if you hadn't had a CDO to steward those assets. >> And the options that are created. >> Absolutely. >> So it's a profit now, but also the additional options that are created. >> Yep, yep. >> And that's where the industry notion starts to get very fuzzy. >> And like all assets, the return on those assets will compound over time. We'll get the increased optionality, we'll make better decisions. You know, because of the increased optionality and the better decisions, there's now even more optionality, we make a good decision again, right? Then it starts to build on itself, and you end up in a much better position relatively quickly. >> Okay so Harry, one last thought, one last question. What's 2019 hold for Periscope Data? >> (laughs) A lot of growth first of all, so it's nice to be a high growth technology startup, lots of good things happen. But it is a little sort of mind boggling, how much the company changes and how much the team changes, the software changes every sort of six months. And so we will almost certainly double or more our business again, we will move into, I mean, I've mentioned some of our customers, Uber and HBO and Harvard. That is indicative of a trend where we are starting to work with larger and larger customers, and real true enterprise customers for the first time. So I expect that trend to accelerate. And I will say the conversations for us are getting easier, when we started six years ago and we were talking about platform for data teams, people were like, data teams? You know? And now I think everybody understands that there's a big wave happening, and that's been sort of propelling the company forwards. So that's been a lot of fun. >> Alright, Harry Glaser, CEO and co-founder of Periscope Data, thanks very much for being on theCUBE. >> Thank you Peter, I appreciate it. >> You bet. And once again, I'm Peter Burris, and this has been another CUBE conversation. Until next time. (cheerful orchestral music)

>> Narrator: Live from San Francisco, it's theCUBE! Covering Red Hat Summit 2018. Brought to you by Red Hat. >> Hello and welcome back to theCUBE's exclusive coverage here in live in San Francisco, California, for Red Hat Summit 2018. I'm John Furrier, with John Troyer my co-host analyst this week he's the co-founder of TechReckoning Avisory Community Development Firm, of course I'm the co-host of theCUBE, and this is Harry Mower, Senior Director of Red Hat Developer Group within Red Hat. He handles all the outward community work, also making sure everyone's up to speed, educated, has all the tools. Of course, thanks for coming and joining on theCUBE today. Appreciate you coming on. >> Thanks for having me again. >> Obviously developer community is your customers. They're your users, Open Source is winning. Everything's done out in the open. That's your job, is to bring, funnel things and goods to the community. >> Harry: Yes. >> Take a minute to explain, what you do and what's going on with your role in the community for the Red Hat customers. >> Sure, so my group really handles three things. It's developer tools, our developer program, and the evangelism work that we do. So if I kind of start from the evangelism work, we've got a great group of evangelists who go out, around the world, kind of spreading the Gospel of Red Hat, so to speak, and they talk a lot about the things that are about to come in the portfolio, specific to developer platforms and tools. Then we try to get them into the program, which gives the developers access to the products that we have today, and information that they need to be successful with them. So it's very much about enterprise developers getting easy access to download and install, and get to Hello World as fast as possible, right? And then we also build tools that are tailored to our platform, so that developers can be successful writing the code once they download-- >> John F: And the goal is ultimately, get more people coding, with Linux, with Red Hat, with Open Source. >> Harry: Yep, it's driving more of, I mean from inwardly facing it's driving more adoption of our products but you know, outward, as the developer being our customer, it's really to make them successful and when I took over this role it was one of the things we needed to do was really focus on who the developer was, you know, there's a lot of different types of developers, and we really do focus on the nine to five developer that works within all of our customers' organizations, right? And predominately those that are doing enterprise jobs are for the most part, but we're starting to branch out with that, but it's really those nine to five developers that we're targeting. >> Got to be exciting for you now because we were just in Copenhagen last week for CubeCon with Kubernetes, you know, front and center, we're super excited about that's defacto formation around Kubernetes, the role of containers that's going on there, really kind of give kind of a fresh view, and a clear view, for the developer, your customer, where things are sitting. So how do you guys take that momentum and drive that home, because that's getting a lot of people excited, and also clarifying kind of what's going on. If you're under the hood, you got some Open Stack, if you're a developer, app develop you've got this, and then you've got orchestration here and you got containers. Kind of the perfect storm, for you guys. >> Harry: Yeah and what we've been trying to distribute in the container space, so one of the things we do we have these kind of 10 big bets that we put on a wall that really drive our product decisions, right? And one of the first, maybe the second one we put on the wall was, everything will be in containers, right? And so we knew that it was important for developers to be able to use containers really easily, but we also knew that it's an implementation detail for them. It's not something that they really need to learn a lot about, but they need to be able to use, so we made an acquisition last year, Code Envy was the company, driving force behind Eclipse J, one of the great features of Eclipse J, a lot of people see it as a web based IDE, but it's also a workspace management system, that allows developers' development environments to be automatically containerized, hosted and run on Open Shift at scale, right? And when we show the demo it's really interesting because people see us coding in a browser and "Oh that's pretty neat", and then at the end of it everyone starts to ask questions about the browser part, and I say, "Yeah, but did you notice we never typed a docker command, never had to learn about a Kubernetes file, it was always containerized right from the very beginning, and now your developers are in that world without having to really learn it". And so that's really a big big thing that we're trying to do with our tools, as we move from classic Eclipse on the desktop to these new web based. >> So simplifying but also reducing things that they normally had to do before. >> Yeah. >> Using steps to kind of. >> Yeah, we want to, people don't like when I say it, I don't want to try make them disappear into the background but what I mean is it's simple and easy to use. We take care of the creative room. >> Now is that, that's OpenShift.io? Is that where people get started with that? >> Actually Eclipse J. >> Okay, Eclipse J, okay. >> So it starts in Eclipse J, and then we take that technology and bring it into io as well. >> Gotcha gotcha, can you take a little bit about io then? You know, the experience there, and what people are doing. >> Sure, yeah so io is a concept product that we released last, well we announced last year at Summit. It's really our vision of what an end to end cloud tooling platform is going to look like. Our bet is that, many of our customers today take a lot of time to customize their integrated tool chains, because of necessity, because someone doesn't offer the fully integrated seamless one today. Many of our customers like their little snowflakes that they built, but I believe over time, that the cost of maintaining that will become something that they're not going to like, and that's one of the reasons why we built something like io. It's hosted managed by us, and integrated. >> And what are people using it for? Is this for prototyping, is this, what are people doing on the system? >> Today it's mostly for prototyping, one of the things we did here at this week's Summit is we announced kind of a general availability for Java developer using public repose. Up until this point it's always kind of been experimental. You weren't sure if your data was going to be gone if it was up or down, there's much more stability and kind of a more reliable SLA right now for those types of projects. >> John T: Gotcha, gotcha. Well, I mean, pivoting maybe to the overall developer program, so developers.redhat.com, big announcement yesterday, you reached a million members, congratulations. >> Harry: Thank you very, yeah, thanks a million is what I put in my tweet. It's been a really great journey, I started it three years ago, we consolidated a number of the smaller programs together, so we had a base of about two, 300 ish developers, and we've accelerated that adoption, now we're over a million and growing fast, so it's great. >> What's the priorities as you go on? I mean all of these new tools out there and I was just talking with someone, one of your partners here, we were out at a beer thing last night, got talking and like waterfall's dying in software development but Open Source ethos is going into other areas. Marketing, and so the DevOps concepts are actually being applied to other things. So how are you taking that outreach to the community, so as you take the new Gospel, what techniques do you use? I mean, you're tweeting away, you going in with blogging, content marketing, how are you engaging the content, how are you getting it out in digital? >> Our key thing is the demo, right? So you saw a lot of great demos on stage this week, Burr Sutter on our team did a phenomenal job every day with a set of demos, and we take those demos, those are part of the things we bring to all the other conferences as well, they become the center stage for that, because it's kind of the proof of concept, right? It's the proof of what can be possible, and then we start to build around that. And it helps us show it's possible, it actually helps get our product teams coelest around our idea, they start to build better products, we bring that to customers, and then customer engagement starts early, but that's the key of it. >> I mean demos the ultimate content piece, right? >> It forces everybody to, on the scene-- >> Real demo, not a fake demo. >> And those were all real, that's the thing the demos are so good I think some of them people thought they were fake. I'm like Burr you didn't do a good enough job of like pulling the plug faster, and showing it was real, right? But they're, yes, they're absolutely real demos, real technology working, and that creates a lot of momentum around. >> You guys see any demographics shifts in the developers, obviously there's a new wave of developers coming in, younger certainly, right? You get the older developers that know systems, so you're seeing coexistence of different demographics. Old and young, kind of playing together. >> Yeah, so there's a full spectrum of ages, a full spectrum of diversity, and geography, I mean, it's obvious to everybody that our growing markets are Asia, it's India and China right now. You'll see, you know, Chinese New Year we see a dip in usage in our tools, you know, it's very much, that's where the growth is. Our base right now is still predominately North America and EMIA, but all the growth is obviously Asian and-- >> John T: (mumbles). Harry I wanted to talk about the role of the developer advocate a little bit. It's a relatively new role in the ecosystem, not everybody understands it, I think some companies use a title like that in very different ways, can you talk, it's so important, this peer to peer learning, you know, putting a human face on the company, especially for a company like Red Hat, right? Built from Open Source communities from the ground up. Can you talk a little bit about what is a developer advocate, and am I even getting the title right? But what do they do here at Red Hat? >> Yeah so it's funny, so an evangelist is an advocate, and how do you distinguish the difference? So I spend a lot of time at Microsoft, you know, I think they pioneered a lot of that a long time ago, 10 or 12 years ago, really started doing that, and those ideas have matured, many different philosophies of how you do it. I bring a philosophy here and at work and with Burr, that, you know, it's one thing to preach the Gospel, but the end goal is to get them into Church, right? And eventually get them to, you know, donate, right? So, our evangelists are really out there to convince and you know, get them to adopt. Other models where you're an advocate, it's about funneling, it's almost like a marketing, inbound marketing kind of role, where you're taking feedback from the developers and helping to reshape the product. We do a little bit of that, but it's mostly about understanding what Red Hat has, 'cause when people look at Red Hat they think that's the Linux I used to use, I started in college, right? And for us we're trying to transform that view. >> John F: Huge scope now. >> And that's why we're more of an evangelistic organization. >> I mean Linux falls in the background I mean with cloud. Linux, isn't that what the old people used to like install? Like, it's native now. So again, new opportunities. And Open Shift is a big part of that. >> Yeah and we work hand in hand, there's actually an Open Shift evangelism team that we work hand in hand with, and their job is really more of a workshop style engagement, and get the excitement, bring them to that, and then do the engagements and bring it in. >> John F: What's the bumper sticker to developers? I mean obviously developer's mind sheer is critical. So they got to see the pitch of Linux helps a lot, it's all about the OS, what's the main value proposition to the developers that you guys are trying to have front and center the whole time? >> Harry: For Red Hat specific? >> Yeah yeah. >> It's funny, we just redid all of our marketing about the program, and specifically it's build here, go anywhere. And for two levels, right? With using Red Hat technologies, being part of the Open Source community, you can take those skills and knowledge and go anywhere in your career, right? But also with our technology, you can take that, and you can run it anywhere as well. You can take that technology and run it roll on prem, run it on someone else's cloud, and it really is just, we, you know, we really give the developers a lot of options and possibilities, and when you learn our products and use our products, you can really go anywhere. >> So Harry there's a, I loved how you distinguished at the very beginning of the conversation who the program is for, and that particular role, right? I sit down and I code enterprise products and glue stuff together and build new things, bring new functionality to the market, shit, excuse me, this week has been all about speed to market, right? And that's the developers out there, right? See I get so excited about it. >> That's okay, you can swear. >> (mumbles) >> But you know, there's a lot of shifting roles in IT, and the tech industry, over the last, say, decade or so, you know, do we spec the people who we used to call system mins, do they have to become developers? Open Source contributors also are developers. But it sounds like maybe the roles are clarifying a little bit, other than, you know, an Open Shift operator, you know, doesn't have to be a developer, but does have to be, know about APIs and things, how are you looking at it? >> I don't have too strong an opinion on this, but when I talk to other people and we kind of talk about it, you know the role of the, so we made operations easy enough that developers can do a lot of it, but they can't do all of it, right? And there's still a need for operations people out there, and those roles are a lot around being almost automation developers. Things that you do like an (mumbles) playbook or, you know, what other technology might use, so there is an element of operations people having to start to learn how to do some sort of coding, but it's not the same type of that a normal developer will do. So somehow we're meeting in the middle a little bit. But, I'm so focused on the developer part that I really don't have too strong an opinion. >> Well let us know how we can help, we love your mission, theCUBE is an open community brand, we love to get any kind of content, let us know when your big events are, I certainly want to promote it sir. Open Source is one, it's winning, it's changing and you're starting to see commercialization happen in a nice way, where projects are preserved upstream, people are making great products out of it, so a great opportunity for careers. And building great stuff, I mean new application start-ups, it's all over the place so it's great stuff, so congratulations and thanks for coming on theCUBE. It's theCUBE, out in the open here in the middle of the floor at Moscone West, bringing all the covers from Red Hat Summit 2018. We'll be right back with more after this short break, I'm John Furrier, with John Troyer, we'll be right back. (electronic music)

>> Host: Live from Boston, Massachusetts it's The Cube, covering Red Hat Summit 2017 brought to you by Red Hat. >> Welcome back to The Cube's coverage of the Red Hat Summit here in Boston, Massachusetts. I'm your host Rebecca Knight along with my co-host, Stu Miniman. We are joined by Harry Mower. He is the senior director Programs and Tools here at Red Hat. Thanks so much for joining us. >> Thanks for having me. >> So, I want to start out by talking about the product launch that you are announcing this week, a new set of developer tools, Open Shift IO. What does it do? What does it not do? Break it down. >> Sure absolutely, so on the first day of the summit we announced probably one of the largest developer tools we've had in a long time, and it's a brand new product. It's a hosted online environment for building cloud services, whether you choose to do that as a microservice or a monolith or whatever architectural pattern you choose. We provide end to end tools for development teams to build them and host them on open shift online. When I say end to end, what that means is it comes with everything development teams need to plan, code, analyze, and deploy their applications. If this were the '90's, we would have called it a new ALM platform, but now it's dev-ops, right? It's our new approach to dev-ops. It completes the open shift experience, and makes it easier for development teams and developers to build those applications and host them on open shift online. >> Why did we need a new approach to dev-ops? >> Yes exactly, so with this release we were really trying to solve three fundamental problems. The first is we see a lot of our customers spending probably too much time and money to integrate and maintain their tool chains. We know customers have entire teams dedicated just to integrating all the tools that they need and keeping it up and running. We wanted to take that off the table. We wanted to make it really simple for our customers just to get coding and not have to worry about creating this entire end to end environment. We feel like a lot of this stuff has been commoditized in some way, and it's not really differentiating. If you can integrate your tool better than mine it doesn't really help you produce better code at the end of the day, so we just wanted to make that simple for our customers. Second thing we wanted to do was make it really easy for developers to use containers in development, and help them get started faster. Developers can spend as much as 50% of their time just maintaining their local environment to do dev-end test. What we wanted to do was make it simple. One click, automatically create containerized development testing and staging environment without the need to type doctor commands or learn Kubernetes files, make it super simple for developers. And then third thing we want to do, which we think is really unique, is help developers make better decisions. This is one of the things that gets overlooked, in the whole dev-ops process. Is that developers have a lot of freedom of choice to choose things, basically anything off the internet that they want to use, and a lot of times, development teams and developers aren't quite sure if it's the right decision. So we're taking an analytics-based approach to helping solve that problem. We've created a new AI service that's built into the platform that analyzes their packages that they choose, based on 15 years of history that we have working on open source projects, plus other data that we use. And we help developers make better decisions, because we recommend packages based on that information. So if we see a package that they chose that might have a known vulnerability or that is one that developers frequently don't use, we flag that for them, and offer suggestions for better ones for them to use. >> Nudging them in the right decision. >> Harry: Yes. >> Harry, been to a lot of shows where we're talking about digital transformation. It's kind of a trope these days that says, software's leading the world and every company's becoming a software company. >> Harry: Or is a software company. >> Or is a software company, everything from the banks, to whatnot. Do you have some examples of what, some early customers that have been playing with Open Shift IO, how does this help them along that way, learn from your peer, and therefore know when you'll when to jump in? >> Sure. We don't have any customers on it now, this is one of those projects that we have been developing over the past year, and we really just announced it today. But we did take a lot of feedback from customers, and saw what they were doing. If you look at, probably one of the obvious ones that we look at are automotive companies. The four wheels and the engine is the commodity part of the car, sort of today. Much of the decisions you make are based on the technology that you choose. So it's really important for them to differentiate at the technology level. And you can only go so far with hardware, it's really software that powers everything else. And so you could think of most car companies now. That's how they become software companies. It goes down the line. If you think of banking, if you don't have a mobile banking app, is that a bank you're going to choose? It's pretty obvious examples of companies that are now software companies. >> So let's, if I'm an automotive car, and saying, "Okay, I got to worry about autonomous "vehicles, and all the competition" How will Open Shift IO help them forward faster? >> Sure. Building software is building software. No matter where you deploy it. And so the process that you go through to get your team, to envision the project, to set up the project and then divvy out the work and then have the work be done. Open Shift IO provides all the tools to do that. And then once the developer's get working on actually coding and doing the testing, and everything that the developer's do, one of the things that we provide is, like I said, every developer struggles, whether you're developing for something in a car, or somewhere else, struggles with the idea of setting up my local environment, setting up my data environment. Like I said, Open Shift IO makes it really simple for those developers, because we can let them choose pre-defined technology stacks. So in the case of the automotive maker, they can set a corporate standard for what type of technology stack they want to use, developers choose those stacks, and then we automatically create a containerized environment for them to work off of. Where they're working doesn't have to be their local machine, we host it for them in the cloud, so they never had to install anything or worry, again, another thing they don't have to worry about is, is it mismatched from everybody else working on that software? So we ensure consistency across the team, and what's going in production. So we minimize the risks there. And it doesn't matter if you're building a banking application or an embedded application, the steps are the same, and that's why we feel like it's commodotized at this point. It really is non-differentiating, so if we can streamline that whole process, we feel like it's the right decision for all developers. >> We want to talk big picture here about this space that you are in. Before the cameras were rolling, you were telling us about your prior career at Microsoft, but you've been in this developer evangelism, you call it an evangelist space for a long time, can you tell us how it's changed over the years? >> Yeah. So the obvious generations of going through the technology fads is one thing, now we're back to multiple micro-service type architectures and those sorts of things, so the technology trends and fads always come and go. But I think there's one fundamental shift that is sticking more, and it's not necessarily about the individual developer. It's about development teams. It's how do you get the entire team to function well? How do you build not just better code but better applications? And how do you fix that end-to-end experience? Because at the end of the day, the way developers add value to your business isn't by writing another line of code that doesn't necessarily have a bug, it's how do they shift better software faster? >> And so this focus on teams, and the end-to-end process, I think is a fundamental shift that we've-- I wouldn't say it's a shift, maybe it's a maturity that I've seen over the 20 years almost that I've been doing this. And so that's why we've really honed in on that. And I think another thing, people ask me questions about, we see these new modern types, new modern trends in application development. Mostly containers and microservices. And they usuallay put them together. And I try to tell people not to do that, because they're two separate things, and I think the one thing the industry has made a decision on is containers. I think that is the new, I call it the atomic unit of app execution. No matter where they're going to execute, their app's going to be in a container. Now whatever pattern they choose to use inside that container, I think it's still up for debate,, whether it's microservices or some other sort of pattern they want to use. So I think focus on teams and shift to containers, and a new type of level of isolation I think are two big-- >> And just to be clear, you're saying that, if I'm choosing microservices, I'm probably going to use containers but just because I'm using containers doesn't mean I'm using microservices? >> Harry: Exactly. And even in the case of microservices, it depends on how many containers you're going to use. The debate is, do I put, is a service per container, is it some level of services per container? I think there's a whole set of technology there to help manage people moving into that space, 'cause complexity grows pretty quickly when you start to get into that world, and we're going to focus on the tools for that as well. >> I want to get your opinion, the question is also, how much does the developer-- Where in the stack do they need to worry about? Can they just focus on writing the application, do they have to worry about... How far underneath it do they have to worry about? What's your thoughts, things about... We talked about containers, Kubernetes going, the whole serverless development. Function as a service. How do those fit into your thinking? >> So our approach in Open Shift IO, is to have developers worry up to the framework level. Everything below the framework, don't worry about it anymore, including containers. If you saw the demos on the summit keynote, all of that was containerized and we never once typed a docker command, you never saw a Kubernetes value, you never saw anything about containers, we just did it all for you. What you did see is choices around the frameworks and the components that I want to use inside my application, and how I express myself in code. And that's kind of where we, at least in Open Shift IO, that's where we see the dileneation. I don't want developers to have to worry about containers and everything below that. It should just come for free. Especially when we get in the world of serverless, where it's debatable what you're ever going to have to worry about at that point. That's the way we see it. >> When you're talking about workplace culture, and you said that there's a really big emphasis on teams and helping teams make better decisions, collaborate more effectively. Red Hat is known for having such a powerful culture, a cutlure of candor, a culture of risk-taking, a culture of openness and transparency. How does that translate into the kinds of tools that you are coming out with? >> Yeah, so one of the first things we knew we had to do and decide we had to do, is we're going to build Open Shift IO with Open Shift IO So our first customers are us, ourselves. >> Rebecca: You're the guinea pig. >> We're the guinea pig, and if anybody knows anything about Red Hat, its' exactly what you said, we have a very diverse, very geographically dispersed, very opinionated set of people at Red Hat, right? And so we had to take all that into account when building the application to satisfy our team first, and so I would say that the product that we're building today is a direct reflection on the culture of Red Hat, because if it can work it for Red Hat, it can work for many and most companies, let me tell you (laughs). >> Can you help connect the dots between Open Shift IO and what's happening with Open Shift in adoption there? I think that speaks to the maturity and the adoption of Open Shift itself that led you to this new tool. >> Yeah, when we first started to build the product, which was a little over a year ago, we wanted to build a product that was going to service the entire Red Hat portfolio. Which included Bare Metal, Rel and other platforms. But as we went through the process of building the application, we really did realize that Open Shift is becoming our default platform. Especially for containers as applications, and what developers want to do. So we decided to maximize our efforts around building the best experience for Open Shift, because it is the future for Red Hat. So the name shift at that point, we then went from a Redhat branded name to an Open Shift branded name. I think right now the Open Shift IO name, I will admit, is a little confusing for people, and it is intended to be kind of one of the first of the family of Open Shift products. Over time, it may emerge and be part of Open Shift overall. But right now, it's meant to complement Open Shift Online. And it's the developer experience for Open Shift Online, >> And it's free, the Open Shift IO, eventually, some of what you create there ends up in Open Shift, which would be something they paid for, right? >> Yeah, and we're trying to figure out what that model is right now. I think right now it is all free, we don't have any intentions to charge for the tools themselves. I think as developers use it, and then they consume more resources on Open Shift Online, we'll start to charge for the resources on Open Shift Online, that's probably the most obvious model. But that's still all stuff we're trying to work out as a company. >> It's a work in progress. >> Harry: Work in progress, definitely. >> Thanks so much for your time, Harry. >> Thanks for having me, it was great. >> From Rebecca Knight, and Stu Miniman, we hope to see you back here again for more from Redhat Summitt. (electronic jingle)

(upbeat music) >> Welcome back to Chicago, guys and gals. Lisa Martin here in Chicago with Ansible Fest 2022 with John Furrier. John, we've had great conversations. This is day two of our coverage. We were here yesterday. >> Yeah. >> We're here today. We've gotten to talk with great folks in the Ansible community, the partner ecosystem customers. We've broken some news that they've talked about. Now we're going to talk about industrial automation, IT/OT convergence. What excites you about this conversation? >> Yeah, this is going to be a great segment. This is one of the feature keynote presenters, customer Rockwell. Huge in OT, IT, edge, robotics, plants, equipment. Everything that we probably have, they do. This guest has really great story about what's cutting edge and what's relevant in the edge and IT slash automation area. Super relevant. Looking forward to the segment. >> Yes, please welcome David Rapini, the Global PlantPAx business manager at Rockwell Automation. David, great to have you on theCUBE. >> Thank you. Nice to be here. >> Give the audience a bit of an overview of Rockwell Automation and then let's dig into what you guys are doing there. >> Sure. Rockwell Automation probably is the largest global automation provider of equipment focused exclusively on automation. About 22,000 employees. About 7 billion kind of revenue numbers. We make, basically, controllers for the automation industry, industrialized software, power drives, you know, of the robotics content, smart cart kind of applications. >> Lisa: And what are your key industries that you're covering? >> Wow, so that's a broad market. So we do a lot of different industries. So we cover, obviously, oil and gas, life science, water, wastewater. We do automotive. So just about any industry, actually. Any place that needs industrial automation covering any type of manufacturing process or any type of process application. We're pretty much there. >> John: You know, it's interesting, IOT has been a word, in and of things, light bulb, wearables, industrial IOT where you're in is a really key space. It's physical plants. Sometimes it's sensitive critical infrastructure for governments, businesses. >> David: Exactly. >> I mean there's running stuff. >> David: Definitely. >> This is huge. >> Yeah, and it's a big area for us, like getting that data, you know, everybody talks about analytics and what the world's going to be happening to in that IT, OT space. And Rockwell's really well positioned at that lower level where we actually own the data, create the data for all that analytics that you're talking about. >> What was your main message today on stage? I want to replay that here and then get into it because I think this is really, we're starting to see, real traction in adoption, in automation, cloud scale, edges happening, exploding. What was your key message on stage today? >> Yeah, I think it's that the world's really changing in that space. You know, five years ago you would have had a completely different message around, you know that connectivity and having that content actually delivered to that space and having, like even the connectivity to that OT space makes people uncomfortable in that world because there's obviously moving pieces, you know, damage to equipment, you know God forbid any types of explosions or things like that on bad environmental type conditions. So we're working in that space to really make those connections much more open and now that those connections are starting to happen and we're getting more and more comfort with that, in that layer, there's a lot more we can do in that space which is kind of why we're here. >> And talk about why Ansible and what it's going to be able to unlock for Rockwell to be able to achieve. >> Sure. There's a lot of areas that we want to play with, but our, in Ansible but our first targets are really our, primarily our servers. So there's a lot of edge based servers out there, you know, we call them a pass server, which is a process automation system server. And there's an engineering workstation operator, which are those main core servers. Some of them are redundant, you know, the OT guys to them it's a burden to manage that content. They're good at making, you know, oil and gas they know how to do water wastewater. They know how to build cars. But managing servers, you know, not in their wheelhouse. >> John: Not in their wheelhouse.(laughs) >> Exactly. Right. So having that capability and that connection to get down there gives us some power with Ansible to go ahead and start building them initially. So making that initial builds out of the gate. That makes them really consistent and built together, so every application looks and feels the same and they know what they're going to get when their servers power up. So that's a big one. But, but just maintain them, keeping them patched, you know keeping security vulnerabilities down. You know, I was in a facility not long ago that was still running Windows 2000. Right. So, you know, they have an application there that's just working. It works. They don't want to touch it and it's been running for 20 years, so why touch it? Right. So this was going to kind of hopefully break that challenge. >> Make sure that you keep that password handy. (laughs) >> David: Yeah, exactly right. (laughs) >> We've had (indistinct) people leave. What about the security aspect is OT has been locked down, mindset, hardened, end to end, supply chains, vetted. Everything's kind of tight on the old OT model. Relatively secure when you get to IT, you mentioned vulnerabilities but the innovation's there too. So how does that reconcile for you? What's your reaction to that? >> Yeah, we see a big move there, right? So it used to be they were always head head to head butting heads IT, OT, you know it focuses on, you know, keeping the system secure keeping the data down, locked down, and reliable. OT focuses more on production, right? Making sure they hit their numbers in the production. So oftentimes, you know, having it push out a patch in the middle of production line in the middle of a day and rebooting a server shuts down production and you know, that those kind of conflicts. Yeah, exactly. So those conflicts were, were pretty common. There's still a lot of that there, but it's getting better. Yeah, right. And I see more and more of that working together as a team to, to solve a lot of those challenges. And honestly, I keep going back to the analytics angle and the diagnostics and that world of deep data, you know, big data kind of mining, you know, without the IT space to cover that the cloud data storage, the horsepower. >> If you had to kind of like rank the complexity 'cause we were just talking before you came on about things got to get complex before they can get simpler 'cause the inflection points bring that new capability. What's some of the complexities that you're seeing that are going to be either abstracted away or solved with some of these new technologies like Ansible and others that are coming fast? Cause at the end of the day it's got to still be easier. It's not going to be hard. That can't be harder. >> Yeah. So I'll give you a real world example that's a little embarrassing. So today we deliver our past servers as a solution and we we provide that as a VM image that people start with as the first building block. But once you start to deploy that and actually connect it with the rest of the infrastructure, hook it up to our factory talk directory, hook it up to the DNS service, once you start doing all that work it's about 700 mouse clicks that somebody has to know what they're doing to actually spin it up the rest of the way and get it connected with Ansible. We're cutting that number like in half is the hope. So, and, and we're going to continue to expand that and make it even less work for the users to >> Talk about skill gap issue. The training alone on that is to have the right people. >> That's the second big piece, right? So, so those OT people typically don't have that skill set. So you have to have a fairly high skilled level person to do that work. We're hoping to take that, that work off of them and put that on on answer. >> Yeah, that sounds pretty consistent. Do you think, is that the, kind of the consistency of the problem space is that the OT just has a different goal and they just need something to be invisible and easy, like electricity? >> Yeah, I think so. Especially in this world, right? In that OT space, right in in that IT space. Sorry. Yeah, so, so managing servers and things like that it's just is not what they want to want to deal with and it's not what they went to school for and it's not what they're doing when their job when they get hired. Right. Yeah. >> It sounds to me like Rockwell Automation is a facilitator of the IT and OT folks coming together and actually working better together, maybe understanding each other's requirements, goals, objectives. >> Most definitely. So we have, you know we are offering a lot of cloud content now. We're continuing to expand that content. We're working with a lot of different IT departments and OT departments to try to marriage those two groups together to try to bring that stuff together. We have a partnership with Cisco where we actually, you know, industrialize you know, some of their switch components and sell that as as part of our content and that relationship gives us a big inroad with a lot of the IT departments. >> That's important to have that be able to speak the language of both sides. >> Yeah, definitely. Right. Knowing and understanding the terminology and just being able to know the challenges that IT guys face as well as the OTs is really a big component of what we do. >> You know, one of the questions I wanted to ask and 'cause the keynote was very cool, but you made a comment that your claim to fame was that you wrote the code for the Spider-Man ride at Universal. Tell a story. How does that work? I'm just, I've rode them many times. So take us through that little journey. >> Yeah, so I, every time people ask me what we do for a living and automation, you know, I can talk about, you know, making cars and things like that, but it doesn't ring troops. So I did do a lot of work on Spider-Man Ride which is at Universal Studios, you know it was a real challenge, making sure you know how that connections actually work and make, I did most of the motion control content for that to make the movements of the cars, you know, seamless with the backgrounds. Definitely a lot of fun. So those kind of projects are rare but they're really fun when you get those. >> I hope you have a free pass for any time you want to go on it. >> I don't, unfortunately. >> Oh, you should. >> I try to get in the backrooms all the time at that facility but it's rare to hear. >> I mean it's like, it's a high end rollercoaster machine. It's like, I mean that is this robotics, industrial cause, this, I mean it's an intense ride. >> It is, and you know, you never move more than like eight feet on that whole ride and it feels like you've dropped, you know 2000 feet out of the sky on some of that content. So it's really amazing. I will say it's a little dated. I've been writing on the part of my team worked on the the Harry Potter rides, which are much next generation. >> I couldn't get on that one, line was too long. >> It's a long way, but it's worth it. >> Dave I asked you a question on the future for people watching who are new observing industrial IOT. What's the most important story going on in your world today? Is it the transformation? Is it the standards? Is it the security? What's, what are the top two or three things that are going on that are really transformative right now in automating at the edge? >> I really want to say that it's standardization. It's about using open standards and standard protocols to deliver content in a reusable fashion. So, you know, having custom proprietary content like a lot of automation suppliers or even like a lot of other industries, it's hard to maintain. It doesn't work well with other products. It's great 'cause you can do a lot of flexibility what you want to do, but at the end of the day it's about keeping the thing running and hooking it up to other components so that open standards based solution you'll see us spending more energy on you know, part of the Ansible open community thing is nice in that space as well. And you'll see us doing more stuff in that place that, that play. >> Talk about your influence there in the community. You know, we, we've been talking the last couple of days about Ansible is nothing if not the power of the community, the collaboration within. Talk about being able to influence that and what that means to you personally as well as to Rockwell. >> Yeah, so open communities are big for us. We have, you know, obviously a customer advisory boards and things like that that we deal with but we also have an open community forum where people can share dialogues and share ideas. We have large events, we have a process solution users group events where we bring in, you know hundreds not thousands of engineering people to to talk to all of these problems that they're facing. And it's not a Rockwell event it's a, you know, community event, right. Where we actually are talking about, you know what industry problem people are seeing. And a lot of the IT OT convergence thing is really top of mind. A lot of people say no minds especially the cybersecurity content. >> What are some of the things that you heard the last couple of days, announcement wise? Obviously big news coming out today that excites you about the direction that Ansible's going and how it's responding to the community. >> Yeah, I think a lot of their feedback that they get and sitting a lot of these sessions, they get a lot of interesting feedback from their customer base. And reacting to that I think is very high on their priority list. And what I've been seeing here, you know, some of the AI stuff that they were showing on automatically, like defining some of the scripts for their code that intelligence behind a lot of that content was amazing. I see a lot of that moving forward. And we're heading the same direction at Rockwell as well with more AI in our company. >> The data's a big story too coming out of all the devices, analytics, great stuff. >> Yeah, I'm pulling that data up into the cloud space and trying to do something valuable with all that data. It's, you know, we've had big data for a long time. It's just figuring out analytics and how to actually act on that data and get it back into the control to do something with. >> It's all getting aside. My serious question on this is that, you know is it the year finally OT and IT converge? Seems like it's been trying for about a decade. >> Yeah, that's a tough one to answer. So I would say it's not there yet. I think there's still a lot of conflict in that space. You know, the OT guys still have a long history of that space, but as you see more retirement and more people phasing out of that and younger crowds coming in, you know the automation space is ripe for that kind of transition because coming out of college, you know jumping into automation isn't always the top of the notch. A lot of people want to go work at the big Amazons or wherever. >> A lot, a lot of stuff going on in space. It's pretty cool. A lot of physical, I've seen a lot more machine learning and physical devices in the industry we've been reporting on. It's interesting. I think it's close to a tipping point because we saw machine learning and the trivial apps like chat bots never really took off, yep. Just expert systems basically, but they're not really going the next level. So now they are, you're starting to see more, you know of wisdom projects, you know, different models being adopted. So I see AI now kind of kicking up similar to OT IT. >> Yeah, most definitely. You know, we have a lot of projects in that space like doing predictive analysis on, let's just say something simple like a pump, right? If you have pumps out there that are running for years and years, but you notice that there's a trend that on day 305 or whatever you know, a bearing starts to fail all the time. You know, that kind of analytics can start doing predictive maintenance content and start pushing out work orders in advance before the things fail because downtime costs millions of dollars for these maintenance. >> Downtime also incidents, right? So you never know, right? >> Exactly. Right, right. So it's good to have that safety net at least from a manufacturing perspective. >> Final question for me. What's the most exciting thing going on in your world right now if you had to kind of pick one thing that you're most jazzed up about? >> I have to say, you know, Rockwell's doing a big shift to cloud-based content and more big data numbers like we were just talking about for that AI. That complexity of what you can do with AI and the value that you can do to like just, you know if I can make quality of a product a half a percent better that's millions of dollars for my customer and I see us doing a lot of work in that space and moving that forward. That's big for me, I think. >> And what are some of that, my last question is what are some of the impacts that customers can expect from that? >> Yeah, so everything from downtime to product quality to increasing production rates and volumes of data that come out. You know, we do something called model predictive control that does, you know, very tight control on control loops to improve like just the general product quality with a lot of the big data numbers that are coming in on that. So you'll see us moving more in that space too to improve you know, product quality and then downtime. >> And really driving outcomes, business outcomes for your customers. David, thank you so much for joining us on the program, sharing what Rockwell Automation is doing. We appreciate your insights, your time and we want to keep watching to see what comes next. >> Sure. Glad to be here. It's great. Thank you very much. >> Our pleasure. For our guest, our John Furrier. I'm Lisa Martin. You've watched theCUBE Live in Chicago, Ansible Fest 2022. Thanks for watching. (gentle music)

>>The transformation of Dell into Dell emc. And now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company to a Midling enterprise player, forced to go private to a debt laden powerhouse that controlled one of the most valuable assets in enterprise tech i e VMware, and now is a hundred billion dollar giant with a low margin business. A strong balance sheet in the broadest hardware portfolio in the industry and financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC of the Dell EMC deal was detailed in Michael Dell's book Play Nice But Win in a captivating chapter called Harry You and the Bolt from the Blue Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. >>If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell and a massive wealth creation milestone pending, of course the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello and welcome to the Cube's exclusive coverage of Dell Technology Summit 2022. My name is Dave Ante and I'll be hosting the program. Now today in conjunction with the Dell Tech Summit, we're gonna hear from four of Dell's senior executives, Tom Sweet, who's the CFO of Dell Technologies. He's gonna share his views on the company's position and opportunities going forward. He's gonna answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the president of Dell's ISG business. >>That unit is the largest profit driver of Dell. He's gonna talk about the product angle and specifically how Dell is thinking about solving the multi-cloud challenge. And then Sam Groot, who is the senior vice president of marketing, will come on the program and give us the update on Apex, which is Dell's as a service offering, and then the new Edge platform called Project Frontier. Now it's also cyber security Awareness month that we're gonna see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward thinking philosophies when it comes to its culture and workforce. And we're gonna speak with Jen Vera, who's Dell's chief Human Resource Resource Officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I wanna share our independent perspectives on the company and some research that we'll introduce to frame the program. >>Now, as you know, we love data here at the cube and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ET R'S proprietary net score methodology in the vertical access. That's a measure of spending velocity. And on the X axis, his overlap of pervasiveness in the data sample, this is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot, that represents Dell's ISG business that we're gonna talk to Jeff Boudro about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of of the remainder of Dell's business, and it is, it's, as I said, it's most profitable from a margin standpoint. >>It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut had we done. So Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis that represents a highly elevated net score, and every company in the sector is below that line. Now we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin storage is the exception, but cloud has put pressure on margins even in that business in addition to the server space. >>The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software defined high margin offerings in this, in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spinout did, at least not in the near future. So let's take a look at the snapshot of Dell's financials. To give you a sense of where the company stands today, Dell is a company with over a hundred billion in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. >>But because it's a hardware company, primarily its margins are low with operating income, 10% of revenue, and at 21% gross margin with VMware on Dell's income statement before the spin, its gross margins. Were in the low thirties. Now, Dell only spends about 2% of revenue on r and d because because it's so big, it's still a lot of money. And you can see it is cash flow positive. Dell's free cash flow over the trailing 12 month period is 3.7 billion, but that's only 3.5% of trailing 12 month revenue. Dell's Apex, and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of service now's total revenue. Of course, service now is 23% operating margin and 16% free cash flow margin and more than 5 billion in cash on the balance sheet and an 85 billion market cap. >>That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing. Thanks to VMware's cash flow, Michael Dell and his partners from Silver Lake at all, they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of 46 billion. It added to the, to the balance sheet debt. Now Dell's debt, the core debt net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. >>But Dell a hundred billion company is still only valued at 28 billion or around 26 cents on the revenue dollar H HP's revenue multiple is around 60 cents on the revenue dollar. HP Inc. Dell's, you know, laptop and PC competitor is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than 50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over three x, about 3.3 x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine, but it's lack of software content and it's margin profile leads. One to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. >>So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware and it doesn't own a cloud, it plays in virtually every part of the hardware market and it can provide infrastructure for pr pretty much any application in any use case and pretty much any industry and pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware heavy companies that try to get bigger has some notable failures, namely hp, which had to split into two businesses, HP Inc. And hp E and ibm, which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive 34 billion acquisition of Red Hat. So why will Dell do any better than these two? >>Well, it has a fantastic supply chain. It's a founder led company, which makes a cultural difference in our view, and it's actually comfortable with a low margin software, light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, is a much better chance of doing well at a hundred billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're gonna try to play on that advantage. But at the end of the day, these as a service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. >>And that's a good thing because customers will be loyal to an incumbent if it can deliver as a service and reduce risk for for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board as Matt Baker Dell's senior vice president of corporate strategy likes to say it's not a zero sum game. What it means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge that's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and Coco, Jeff Clark, explain this vision, please play the clip. >>You said also technology and business models are tied together and enabler. That's if, if you believe that, then you have to believe that it's a business operating system that they want, They want to leverage whatever they can, and at the end of the day there's, they have to differentiate what they do. Well that, that's >>Exactly right. If I take that and what, what Dave was saying and and I, and I summarize it the following way, if we can take these cloud assets and capabilities, combine them in an orchestrated way to delivery a distributed platform, game over, >>Eh, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over? As Jeff Clark said, if Dell can do that, I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course it's gotta be funded and now it's gonna take time. And in this industry it tends to move. Companies tend to move in lockstep. So as often as the case, it's gonna come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin data management, extending data protection into cyber security as an adjacency and of course edge at telco slash 5G opportunities. >>All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through Tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem, and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges. At the same time, in my view, it's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but in a, but it's starting to evolve more rapidly. >>The snowflake deal is an example of up to stack evolution, but I'd like to see much more out of that snowflake relationship and more relationships like that. Specifically I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, like to see that inside of Apex, like to see that data play beyond storage, which is really where it is today and it's early days. The point is with Dell's go to market advantage, which which company wouldn't treat Dell like the on-prem hybrid edge super cloud player that I wanna partner with to drive more business. You'd be crazy not to, but Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable infrastructure as a service. And that is a moving target that will rapidly involve. And of course we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vte. We hope you enjoy the rest of the program.

(upbeat music) >> The transformation of Dell into Dell EMC, and now Dell Technologies, has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocketship PC company, to a middling enterprise player, forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech, i.e., VMware. And now is a $100 billion dollar giant with a low-margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. The financial magic that Dell went through would make anyone's head spin. The last lever of the Dell EMC deal was detailed in Michael Dell's book "Play Nice But Win," in a captivating chapter called "Harry You and the Bolt from the Blue." Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And of course, after years of successfully integrating EMC and becoming VMware's number-one distribution channel, all of this culminated in the spin-out of VMware from Dell, and a massive wealth-creation milestone, pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell, and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technologies Summit 2022. My name is Dave Vellante, and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives. Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau, who's the President of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle, and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott, who's the Senior Vice President of Marketing, will come on the program and give us the update on APEX, which is Dell's as-a-Service offering, and then the new edge platform called Project Frontier. Now, it's also Cybersecurity Awareness Month, that we're going to see if Sam has, you know, anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jenn Saavedra, who's Dell's Chief Human Resource Officer, about hybrid work, and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company, and some research that we'll introduce to frame the program. Now, as you know, we love data here at theCUBE, and one of our partners, ETR, has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary Net Score methodology on the vertical axis, that's a measure of spending velocity, and on the x-axis is overlap or pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell's CSG products, laptops in particular, are dominant on both the x and the y dimensions. CSG is the Client Solutions Group, and accounts for nearly 60% of Dell's revenue, and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business, that we're going to talk to Jeff Boudreau about. That's the Infrastructure Solutions Group. Now, ISG accounts for the bulk of the remainder of Dell's business, and it is its, as I said, its most profitable from a margin standpoint. It comprises the EMC storage business, as well as the Dell server business, and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, Cisco would've dominated the graphic. And frankly, Dell's networking business isn't industry leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server, and its storage sectors. But the nuance is, look at that red dotted line at 40% on the vertical axis. That represents a highly elevated Net Score, and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a hundred mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception, but cloud has put pressure on margins even in that business, in addition to the server space. The last point on this graphic is, we put a box around VMware, and it's prominently present on both the x and y dimensions. VMware participates with purely software-defined high-margin offerings in these spaces, and it gives you a sense of what might have been, had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives for Michael Dell were just too attractive, and it's unlikely that a spin-in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials, to give you a sense of where the company stands today. Dell is a company with over $100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue, and grew at a quite amazing 9% rate, for a company that size. But because it's a hardware company, primarily, its margins are low, with operating income 10% of revenue, and at 21% gross margin. With VMware on Dell's income statement before the spin, its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D, but because it's so big, it's still a lot of money. And you can see it is cash-flow positive. Dell's free cash flow over the trailing 12-month period is 3.7 billion, but that's only 3.5% of trailing 12-month revenue. Dell's APEX, and of course its hardware maintenance business, is recurring revenue, and that is only about 5 billion in revenue, and it's growing at 8% annually. Now, having said that, it's the equivalent of ServiceNow's total revenue. Of course, ServiceNow has 23% operating margin and 16% free cash-flow margin, and more than $5 billion in cash on the balance sheet, and an $85 billion market cap. That's what software will do for you. Now Dell, like most companies, is staring at a challenging macro environment, with FX headwinds, inflation, et cetera. You've heard the story. And hence it's conservative, and contracting revenue guidance. But the balance sheet transformation has been quite amazing, thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al., they put up around $4 billion of their own cash to buy EMC for 67 billion, and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction, to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation, is now down to 16 billion, and it has $7 billion in cash on the balance sheet. So a dramatic delta from just a few years ago. So, pretty good picture. But Dell, a $100 billion company, is still only valued at 28 billion, or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc., Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple that's over 3x, about 3.3x currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes, and no. Dell's performance, relative to its peers in the market, is very strong. It's winning, and has an extremely adept go-to-market machine, but its lack of software content and its margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers, and what might that look like, going forward? Despite the fact that Dell doesn't have a huge software revenue component since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application in any use case, in pretty much any industry, in pretty much any geography in the world. And it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures, namely HP, which had to split into two businesses, HP Inc. and HPE, and IBM, which has had an abysmal decade from a performance standpoint, and has had to shrink to grow again, and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company, which makes a cultural difference, in our view. And it's actually comfortable with a low-margin software-light business model. Most certainly, IBM wasn't comfortable with that, and didn't have these characteristics, and HP was kind of just incomprehensible at the end. So Dell in my opinion, has a much better chance of doing well at 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. APEX is essentially Dell's version of the cloud. Now, remember, Dell got started late. HPE is further along from a model standpoint with GreenLake, but Dell has a larger portfolio, so they're going to try to play on that advantage. But at the end of the day, these as-a-Service offerings are simply ways to bring a utility model to existing customers, and generate recurring revenue. And that's a good thing, because customers will be loyal to an incumbent if it can deliver as-a-Service and reduce risk for customers. But the real opportunity lies ahead. Specifically, Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's Senior Vice President of Corporate Strategy, likes to say, it's not a zero-sum game. What he means by that is, just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds. What we call supercloud. And that's Dell's strategy, to take advantage of public cloud capex, and connect on-prem to the cloud, create a unified experience across clouds, and out to the edge. That's ambitious, and technically it's nontrivial. But listen to Dell's Vice Chairman and Co-COO, Jeff Clarke, explain this vision. Please play the clip. >> You said also, technology and business models are tied together, and an enabler. >> That's right. >> If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can, and at the end of the day, they have to differentiate what they do. >> Well, that's exactly right. If I take that and what Dave was saying, and I summarize it the following way: if we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Eh, pretty interesting, right? John Furrier called it a "business operating system." Essentially, I think of it sometimes as a cloud operating system, or cloud operating environment, to drive new business value on top of the hyperscale capex. Now, is it really game over, as Jeff Clarke said, if Dell can do that? Uh, (sucks in breath) I'd say if it had that today, it might be game over for the competition, but this vision will take years to play out. And of course, it's got to be funded. And that's going to take time, and in this industry, it tends to move, companies tend to move in lockstep. So, as often is the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cybersecurity as an adjacency, and of course, edge and telco/5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher-margin software content, it can thrive with a lower-margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers, and maybe through tuck-in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here, "Ecosystem, ecosystem, ecosystem," because a defining characteristic of a cloud player is ecosystem, and if APEX is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And its ecosystem today is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The Snowflake deal is an example of up-the-stack evolution, but I'd like to see much more out of that Snowflake relationship, and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live in a data-heavy world, which we do, where the data and the database and data management offerings, you know, coexist and are super important to customers, I'd like to see that inside of APEX. I'd like to see that data play beyond storage, which is really where it is today, in its early days. The point is, with Dell's go-to-market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, supercloud player that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate, and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform, its programmable Infrastructure-as-a-Service. And that is a moving target that will rapidly evolve. And of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technologies Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

(upbeat music) >> The transformation of Dell into Dell EMC and now Dell Technologies has been one of the most remarkable stories in the history of the enterprise technology industry. The company has gone from a Wall Street darling rocket ship PC company, to a middling enterprise player forced to go private, to a debt-laden powerhouse that controlled one of the most valuable assets in enterprise tech i.e VMware. And now is a 100 billion dollar giant with a low margin business, a strong balance sheet, and the broadest hardware portfolio in the industry. Financial magic that Dell went through would make anyone's head spin. The last lever of Dell EMC, of the Dell EMC deal was detailed in Michael Dell's book, "Play Nice But Win." In a captivating chapter called Harry You and the Bolt from the Blue, Michael Dell described how he and his colleagues came up with the final straw of how to finance the deal. If you haven't read it, you should. And, of course, after years of successfully integrating EMC and becoming VMware's number one distribution channel, all of this culminated in the spin out of VMware from Dell in a massive wealth creation milestone. Pending, of course, the Broadcom acquisition of VMware. So where's that leave Dell and what does the future look like for this technology powerhouse? Hello, and welcome to theCUBE's exclusive coverage of Dell Technology Summit 2022. My name is Dave Vellante and I'll be hosting the program. Now, today in conjunction with the Dell Tech Summit, we're going to hear from four of Dell's senior executives Tom Sweet, who's the CFO of Dell Technologies. He's going to share his views on the company's position and opportunities going forward. He's going to answer the question, why is Dell a good long-term investment? Then we'll hear from Jeff Boudreau who's the president of Dell's ISG business. That unit is the largest profit driver of Dell. He's going to talk about the product angle and specifically, how Dell is thinking about solving the multi-cloud challenge. And then Sam Grocott who is the senior vice president of marketing will come on the program and give us the update on Apex, which is Dell's as-a-service offering, and then the new edge platform called Project Frontier. Now, it's also Cyber Security Awareness month that we're going to see if Sam has anything to say about that. Then finally, for a company that's nearly 40 years old, Dell actually has some pretty forward-thinking philosophies when it comes to its culture and workforce. And we're going to speak with Jennifer Saavedra who's Dell's chief human resource officer about hybrid work and how Dell is thinking about the future of work. However, before we get into all this, I want to share our independent perspectives on the company and some research that will introduce to frame the program. Now, as you know, we love data here at theCUBE and one of our partners, ETR has what we believe is the best spending intentions data for enterprise tech. So here's a graphic that shows ETR's proprietary net score methodology in the vertical axis. That's a measure of spending velocity. And on the x-axis is overlap of pervasiveness in the data sample. This is a cut for just the server, the storage, and the client sectors within the ETR taxonomy. So you can see Dell CSG products, laptops in particular are dominant on both the X and the Y dimensions. CSG is the client solutions group and accounts for nearly 60% of Dell's revenue and about half of its operating income. And then the arrow signifies that dot that represents Dell's ISG business that we're going to talk to Jeff Boudreau about. That's the infrastructure solutions group. Now, ISG accounts for the bulk of the remainder of Dell's business and it is, as I said, it's most profitable from a margin standpoint. It comprises the EMC storage business as well as the Dell server business and Dell's networking portfolio. And as a note, we didn't include networking in that cut. Had we done so, SISCO would've dominated the graphic. And frankly, Dell's networking business is an industry-leading in the same way that PCs, servers, and storage are. And as you can see, the data confirms the leadership position Dell has in its client side, its server and its storage sectors. But the nuance is look at that red dotted line at 40% on the vertical axis. That represents a highly elevated net score and every company in the sector is below that line. Now, we should mention that we also filtered the data for those companies with more than a 100 mentions in the survey, but the point remains the same. This is a mature business that generally is lower margin. Storage is the exception but cloud has put pressure on margins even in that business in addition to the server space. The last point on this graphic is we put a box around VMware and it's prominently present on both the X and Y dimensions. VMware participates with purely software-defined high margin offerings in these spaces, and it gives you a sense of what might have been had Dell chosen to hold onto that asset or spin it into the company. But let's face it, the alternatives from Michael Dell were just too attractive and it's unlikely that a spin in would've unlocked the value in the way a spin-out did, at least not in the near future. So let's take a look at the snapshot of Dell's financials to give you a sense of where the company stands today. Dell is a company with over a 100 billion dollars in revenue. Last quarter, it did more than 26 billion in revenue and grew at a quite amazing 9% rate for a company that size. But because it's a hardware company primarily, its margins are low with operating income 10% of revenue and at 21% gross margin. With VMware on Dell's income statement, before the spin its gross margins were in the low 30s. Now, Dell only spends about 2% of revenue on R&D because because it's so big, it's still a lot of money. And you can see it is cash flow positive, Dell's free cash flow over the trailing 12-month period is 3.7 billion but that's only 3.5% of trailing 12-month revenue. Dell's Apex and of course it's hardware maintenance business is recurring revenue and that is only about 5 billion in revenue and it's growing at 8% annually. Now having said that, it's the equivalent of Service now's total revenue. Of course, Service now has 23% operating margin and 16% free cash flow margin and more than $5 billion in cash on the balance sheet and an 85 billion dollar market cap. That's what software will do for you. Now, Dell, like most companies, is staring at a challenging macro environment with FX headwinds, inflation, et cetera. You've heard the story, and hence it's conservative and contracting revenue guidance. But the balance sheet transformation has been quite amazing thanks to VMware's cash flow. Michael Dell and his partners from Silver Lake et al, they put up around $4 billion of their own cash to buy EMC for $67 billion and of course got VMware in the process. Most of that financing was debt that Dell put on its balance sheet to do the transaction to the tune of $46 billion it added to the balance sheet debt. Now, Dell's debt, the core debt, net of its financing operation is now down to 16 billion and it has 7 billion in cash in the balance sheet. So dramatic delta from just a few years ago. So pretty good picture. But Dell, a 100 billion company, is still only valued at 28 billion or around 26 cents on the revenue dollar. HPE's revenue multiple is around 60 cents on the revenue dollar. HP Inc, Dell's laptop and PC competitor, is around 45 cents. IBM's revenue multiple is almost two times. By the way, IBM has more than $50 billion in debt thanks to the Red Hat acquisition. And Cisco has a revenue multiple, it's over 3X, about 3.3X currently. So is Dell undervalued? Well, based on these comparisons with its peers, I'd say yes and no. Dell's performance relative to its peers in the market is very strong. It's winning and has an extremely adept go to market machine. But it's lack of software content and it's margin profile leads one to believe that if it can continue to pull some valuation levers while entering new markets, it can get its valuation well above where it is today. So what are some of those levers and what might that look like going forward? Despite the fact that Dell doesn't have a huge software revenue component, since spinning out VMware, and it doesn't own a cloud, it plays in virtually every part of the hardware market. And it can provide infrastructure for pretty much any application, in any use case, in pretty much any industry, in pretty much any geography in the world and it can serve those customers. So its size is an advantage. However, the history for hardware-heavy companies that try to get bigger has some notable failures. Namely HP which had to split into two businesses, HP Inc and HPE, and IBM which has had in abysmal decade from a performance standpoint and has had to shrink to grow again and obviously do a massive $34 billion acquisition of Red Hat. So why will Dell do any better than these two? Well, it has a fantastic supply chain. It's a founder-led company which makes a cultural difference, in our view, and it's actually comfortable with a low margin software light business model. Most certainly, IBM wasn't comfortable with that and didn't have these characteristics and HP was kind of just incomprehensible at the end. So Dell in my opinion is a much better chance of doing well at a 100 billion or over, but we'll see how it navigates through the current headwinds as it's guiding down. Apex is essentially Dell's version of the cloud. Now remember, Dell got started late. HPE is further along from a model standpoint with GreenLake. But Dell has a larger portfolio so they're going to try to play on that advantage. But at the end of the day, these as-a-service offerings are simply ways to bring a utility model to existing customers and generate recurring revenue. And that's a good thing because customers will be loyal to an incumbent if it can deliver as-a-service and reduce risk for customers. But the real opportunity lies ahead, specifically Dell is embracing the cloud model. It took a while, but they're on board. As Matt Baker, Dell's senior vice president of corporate strategy likes to say, it's not a zero sum game. What he means by that is just because Dell doesn't own its own cloud, it doesn't mean Dell can't build value on top of hyperscale clouds, what we call super cloud. And that's Dell's strategy to take advantage of public cloud CapEx and connect on-prem to the cloud, create a unified experience across clouds and out to the edge. That's ambitious and technically it's non-trivial. But listen to Dell's vice chairman and co-COO Jeff Clarke explain this vision. Please play the clip. >> You said also technology and business models are tied together and enabler. If you believe that, then you have to believe that it's a business operating system that they want. They want to leverage whatever they can and at the end of the day, they have to differentiate what they do. >> No, that's exactly right. If I take that and what Dave was saying and I summarize it the following way. If we can take these cloud assets and capabilities, combine them in an orchestrated way to deliver a distributed platform, game over. >> Yeah, pretty interesting, right? John Freer called it a business operating system. Essentially, I think of it sometimes as a cloud operating system or cloud operating environment to drive new business value on top of the hyperscale CapEx. Now, is it really game over as Jeff Clarke said, if Dell can do that? I'd say if it had that today, it might be game over for the competition but this vision will take years to play out, and of course it's got to be funded. And now it's going to take time and in this industry, it tends to move, companies tend to move in lockstep. So as often as the case, it's going to come down to execution and Dell's ability to enter new markets that are ideally, at least from my perspective, higher margin. Data management, extending data protection into cyber security as an adjacency and, of course, edge at Telco slash 5G opportunities. All there for the taking. I mean, look, even if Dell doesn't go after more higher margin software content, it can thrive with a lower margin model just by penetrating new markets and throwing off cash from those markets. But by keeping close to customers and maybe through tuck in acquisitions, it might be able to find the next nugget beyond today's cloud and on-prem models. And the last thing I'll call out is ecosystem. I say here ecosystem, ecosystem, ecosystem. Because a defining characteristic of a cloud player is ecosystem and if Apex is Dell's cloud, it has the opportunity to expand that ecosystem dramatically. This is one of the company's biggest opportunities and challenges at the same time, in my view. It's just scratching the surface on its partner ecosystem. And it's ecosystem today is is both reseller heavy and tech partner heavy. And that's not a bad thing, but it's starting to evolve more rapidly. The snowflake deal is an example of up to stack evolution. But I'd like to see much more out of that Snowflake relationship and more relationships like that. Specifically, I'd like to see more momentum with data and database. And if we live at a data heavy world, which we do, where the data and the database and data management offerings coexist and are super important to customers, I'd like to see that inside of Apex. I'd like to see that data play beyond storage which is really where it is today and it's early days. The point is, with Dell's go to market advantage, which company wouldn't treat Dell like the on-prem, hybrid, edge, super cloud player, that I want to partner with to drive more business? You'd be crazy not to. But Dell has a lot on its plate and we'd like to see some serious acceleration on the ecosystem front. In other words, Dell as both a selling partner and a business enabler with its platform. Its programmable infrastructure as-a-service. And that is a moving target that will rapidly involve. And, of course, we'll be here watching and reporting. So thanks for watching this preview of Dell Technology Summit 2022. I'm Dave Vellante, we hope you enjoy the rest of the program. (upbeat music)

>>Mhm. Hey there. Welcome to the cubes coverage of Splunk dot com. 21. I'm lisa martin. I've got a new guest joining me on the cube for the first time please welcome 20 pierce the senior manager of cybersecurity at the Y 20. Welcome to the program. >>Hi, glad to be here. >>So your linked in profile. I wanted to ask you about this. It states that you are delivering an evidence based approach to cybersecurity. What does that mean? An evidence based approach? And how are you and spunk helping to deliver this approach? >>Yeah. And I'd like to call it like the out case outcome based the price basically you start with what you're trying to accomplish and work with backwards. A lot of people say I've got a problem and then they go try to buy a tool or whatever to go fix the problem. I go in and I'm like all right, I got a problem. Let me figure out what's realistically I can use in the environment. So it's just basically working back so you have, you know, a breach. What if I what are all the different things that I knew to leverage to meet the controls for that breach. Right? And so um think of mitre in a way as a layered way of looking things um and the full defense and depth. So that's kind of my approach, I go when I figure out what the problem is and I answer the question and I used to do that because funk is able to give me a big data to everything. Got a guy so I like to be able to pull in all the different data types that I need to answer our questions, um, to do that. Right. And so whether it's a vulnerability management, patching your networking a good, a good example of this, like most common hacks in the world go after known vulnerabilities, right? And we get kind of caught up in all that. Um, one of the things we like to do here do, why is like we like to combine what's happening in the network. So the threat landscape in which is the network guys, the vulnerability guys who are scanning the data and then actually the patching, who is, who is actually, you know, mitigating the problem putting all those into one screen has really helped people with their risk rating. >>Talk to me a little bit about some of the changes, we've seen massive changes in the threat landscape in cybersecurity in the last year and a half during the pandemic. We've seen massive increase in ransomware. DDoS attacks, ransomware becoming a household word, the executive order that just came down a few months ago. What are some of the things that you've seen? Have you seen the acceleration of organizations coming to help? We know that it's not a matter of if we get attacked. It's when how are you, how are you seeing the last 18 months influence what you're doing. >>Oh man, it's been quite a crazy, right? And so um, by trade, I'm a instant responder, you know, uh high level investigator and possible solutions architect. So I, I get called in a lot for those kind of things. It has been kind of nuts. But you know, one of the things I always tell them when it started understanding what your threat landscaping is, um, and identify your key cyber terrain. Unfortunately most, you know, most companies as they grow, they get really big, they don't really do that. So they don't, they miss the consolidation point, right? I always say, hey, you know, if you're, if you're going to do this, if you say you have a ransomware attack, the first thing you can do is, you know, there's so many different controls that you can do to stop that you really need to know where it is and ejecting and then you can isolate if you need to um, what we're seeing in the companies. They, because they don't all have full coverage, right? And they expect their endpoint protections to actually do its job, you know, and sometimes that's, you know, don't get me wrong, there are some amazing endpoint protections out there, but you really need to be able to log it, you need to know what it looks like and you need to know where it is. So if you need a in case of a ransomware attack as it spreads through the network, you're able to isolate it and rewrite it to like, I like to call it a black hole the land and just reroute it so I can isolate it and then I can go after it. Um instead of trying to try to do every endpoint at a time because you'll get you'll get whacked >>definitely. So talk to me about working and partnering with Splunk and it's full security stuff. How does that, how is that a differentiator for you and your rule? >>Okay. So one of the things that we do here any why is we can find simmons sores one combined offering. Right? So we we try to bring the data in, we operationalize it and then we try to do something with it, right? We we find that. And then if you really think about that in a situation where the spunk products, it's the spunk or funky s and then phantom, right? And so that's the automation play. So we try to combine all those into one combined offering. So that when when bad things happen where we make a decision, we say all right, So, hey, um what we're seeing in the industry is like a lot of times people spend so much time hunting the known to to forget about the unknown. Think about the target. Hack a couple of years ago. Um the oil and gas attack just recently, you know, they miss those core things. So we try to say all right, well let's automate a lot of that known stuff so that the incident responders can focus on the unknown. And so when you combine all three of those products, you get a pretty good security staff >>when you say automating The known, is that at all in any way like helping companies get back to basics. I've been hearing a lot in the last 18 months that some from a data protection perspective and from a ransomware attack perspective. So it's it's when not if but are you saying that companies are are sort of skipping past the basics where security is concerned? Yeah, >>Well, it's I don't say it's skipping past the basics. Right? I think that sometimes people get caught up in the definitions of what it is. Right? So there's there's so many, there's so many fair more shop there. Right? So like I'm a big fan of your trust. Um a lot of instant responded to using minor, I use minor for that as as it retains the instant response. Some people like to use high trust and I think a lot of what happens is they get lost in the confusion of all these different frameworks. Right? I like to go back to basics. I've been doing cyber for Oh, oh my oh my gosh, about 20 plus years. Right. Um I'm an active hacker. I like this is what I do. I like to call a defense in depth. Right? So when you're when you're doing that, if you follow the defense and depth Satur, it doesn't matter what framework you have, you can actually go back and you can Fix that problem. Right? So going back in the automation of unknown to an unknown, we know, and IOC is 100% now, you can say IOC it's like a hash, right? So when a bad thing happens like an exploit, first thing we try to do is we try to grab that hash and then we try to build a roll around it to stop that hash from spreading and going anywhere else. That's a We know 100% of it's bad. Now can exploits change their hash. Absolute. And it happens all the time, but for that Moment in time that hash is 100%. And so we try to say, hey look, you know, we got an endpoint protection but also why don't we use automation to block it at the boundary or why don't we keep it from doing lateral movement? Why don't we why don't we activate it from a defense and depth. So you have your network. Um I like to say, hey look you have your egress ingress and your lateral movement. So if you understand all those three fact factors, you can automate the control so that it doesn't spread, you know, you had mentioned ransomware, it's been really huge, right? And everybody goes, oh well, you know, if we do zero try zero trust, talks about, you know, segmentation a whole lot and then a segmentation is usually important. It won't stop everything but it will do a good job being able to you'll ever swung we actually pull that in and we say hey you know from and why are we take all that network? And we try to put it in a single pane of glass so that we can see everything. And then once we're able to see it, once we get a good robust data set and understand that operations were able to go in and automate it and so if I can go in and say hey look all these hashes are bad. Yeah I'm not going to rely on my end point, I'm going to put another control in place. So at the end point misses it, I have another control that will actually layer it and prevent it from spreading. >>Which is absolutely critical. Talk to me about some of the outcomes that Ey and Splunk are delivering to the end user customers. Everyone's always talking about it's all about outcomes. What are some of those? >>Yeah so we have um we really embraced like the data to everything right? So I I kind of have this opinion of like uh you know everything's data so everything needs to be secured right? Uh the people who missed that tend to get whacked pretty quickly. Um So what I like to do is I'm like all right so you know like IOT is huge out there right now O. T. Is doing it. So some of the things that we've done is like from a health care perspective um We've done we've combined I. O. T. And I. T. Into a commonality solution leveraging like network simple things like pulling in from the wind, pulling in um understanding what those Mac addresses are so that you can actually do like a workplace analytics around um say R. F. I. D. Tagging right? So you know where your people are at? Um Here we also do like a call a sock in a box where we put that put everything together that every like a from a tiered perspective like a tier one tier two analysts. You know what is that they need to do to mitigate mitigate observe something, What is the investigator need? Right? So we try to simplify those conversations so that you know exactly around like a threat hunting as well like threat hunter an investigator, they're totally different roles, right? So they need to be separated. We also like tie in like the um what is it? I really hate uh like power point. I'm not a big power point guy right? So I really like to be able to give the says oh he needs to understand what risk is, right? So we try to automated so we can get to that too. He can pull up his phone and pull up his punk app and he knows at any given time what his risk rating of his company, right? So we try to combine all those in. Like again, you know there is um we do stuff around Blockchain supply chain. You know, it doesn't really matter if it's a data analytics tool. You know a lot of people look at Funk as a sim. I don't just like look at it that way. I look at as a data analytics tool that does sim. It's just one of the functions this does. If you start understanding data and all the different things that data can do, then you need to go in and you can use Funk to basically answer those questions so that you can start putting in a control set. >>What what's the differentiated value that Ey and Splunk bring together to customers. What really sets this partnership and what it delivers apart. >>Well I'm I'm I'm biased on that right? Because I run the North America 17 for you like for consulting. So I would say that those two things is innovation and time to value. Right? So for let's start with innovation for a minute because Funk is so customizable right? Because it pretty much can integrate with just two. Anything we're able to go very fast, take data in and do something with it and operationalize. It doesn't matter who the customer is is they're going to give us a question. We'll break it all the way down and we'll understand what you're going to answer A good example that is like we were doing stuff around P. C. I. Compliance. The checklist. You know the financial sector, they get a huge amount of audits, right? Especially around PC. I. So we took all the Pc. I checklist and we said harry, what can we, what can we answer those questions? And so we built a dashboard that actually sends out a report to internal audit and we call it compliance over time, right? It's looking at data in a different perspective to answer a question. Now the other thing is that we like, we try to do here is, you know, with the, as we do is Funk and funk helps us with this, right? We have a great relationship with them is um, basically, oh I have a, I lost my train of thought there for me. So uh, innovations time to value, right? So from time to value what we do is we used to say, hey look, we have a lot of stuff in our lab. But one of the things I don't like to do is I don't like to um, go to clients and say, hey look, we were going to build this for the first time. I like to say, hey look, here's these questions in the industry. Get ahead of the question and go build in our labs so that when we when we actually get on site, our time to value is not in months. You know, we can begin weeks because we already have a huge repository of um use cases now those every use case is actually tied into an automation play. And so when we say that we say hey look here's everything is flowing, let's do this, let's go answer that question and let's go automate it and you let's make a decision where where we want to automate and where do we want a human interaction. Mhm. >>Talk to me about what's next for the partnership in terms of the future, what what can you tell us where E Y. And Splunk are going together? >>So we've been partying around um I think our next things that we're really looking at is A I um we're really getting kind of into that as well as A R. And D. R. Technology. Right? So um especially around like I'm looking at like the energy companies in the financial banking and one of the things I would love to do is like um go into you know a bank A. T. M. Right? And right now it takes somebody actually has to plug into that and to do a diagnostic on it. I would love to be able to get to a point where you can just take your camera scan the QR code on the on the device and then pull up an A. R. And it runs all the diagnostics on the device as its there. Another one is like the infrastructure um instead of actually going out, plugging into like say a solar panel going out pulling out of the tablet just scanning the solar panels and it tells you if it's good or bad and that's kind of the next step that we're trying to do. We're trying to really take that uh and dated everything and just kind of turn it on its end um like and you've got to remember everything is data nowadays, right? It's not the old days where you know, things are moving around and everything is in the file folders, it's gone right? Everything is data. So everything is security, right? And we know the first thing is we need to know what our threat landscape is. We need to know what that is and we need to apply that. All right. So if we can simplify answering questions, that's so much better. And one of the things I like about flunked is it scales really well, right? And I've looked at some of these fetters and don't get me wrong, I mean everybody has their place. The one thing I like about spunk is it doesn't mean it literally scales really well. So the more data you can get into it, it actually does better. Right? Um and how you do it now, that's just our approach. That's the next steps that we're really looking at from a technology standpoint, >>exciting stuff, Tony thank you for joining me sharing what ey and Splunk are doing together. Some of the unique use cases that you're helping to solve for customers and some of the things that you're excited about. We appreciate your time on your information. >>No, this is fun. You know, like I said, I'm a big fan. I even wore my spunk shirt just for this meeting. >>Fantastic. You're on brand well, Tony. Thank you. Again. We appreciate your time. >>All right. Thank you. You have a wonderful day. >>Thanks you as well for Tony Pierce. I'm Lisa Martin. You're watching the cubes coverage of splunk.com 21. Thanks for watching, >>enjoy. Bye bye mm. Mm hmm.

welcome back to la we are live in los angeles at kubecon cloudnativecon 21 lisa martin and dave nicholson we've been talking to folks all day great to be here in person about 2 700 folks are here the kubernetes the community the cncf community is huge 138 000 folks great to see some of them in person back collaborating once again dave and i are pleased to welcome our next guest we have suresh ragaram co-founder and ceo of platform 9. sarish welcome to the program thank you for having me it's a pleasure to be here give our audience an overview of platform 9 who are you guys what do you do when were you founded all that good stuff so we are about seven years old we were founded with a mission to make it easy to run private hybrid and edge clouds my co-founders and i were early engineers at vmware and what we realized is that it's really easy to go use the public cloud because the public clouds have this innovation which is they have a control plane which serves as a it serves as a foundation for them to launch a lot of services and make that really simple and easy to use but if you need to get that experience in a private cloud or a hybrid cloud or in the edge nobody gives you that cloud control plane you get it from amazon in amazon get it from azure in azure google and google who gives you a sas cloud control plane to run private clouds or edge clouds or hybrid clouds nobody and this is uh this is what we do so this is we make it easy to run these clouds using technologies like kubernetes with our our sas control plane now is it limited to kubernetes because when you you you mentioned your background at vmware uh is this a control plane for what people would think of as private clouds using vmware style abstraction or is this primarily cloud native so when we first started actually docker did not exist like okay so at the time our first product to market was actually an infrastructure service product and at the time we looked at what is what is out there we knew vmware vsphere was out there it's a vmware technology there was apache cloud stack and openstack and we had look the open ecosystem around vms and infrastructure as a service is openstack so we chose open source as the lingua franca for the service endpoint so our control plane we deliver openstack as a service that was our first product when kubernetes when the announcement of communities came out from google we knew at that time we're going to go launch because we'd already been studying lxc and and docker we knew at the time we're going to standardize on kubernetes because we believe that an open ecosystem was forming around that that was a big bet for us you know this this this foundation and this this community is proof that that was a good bet and today that's actually a flap flagship product it's our you know the biggest biggest share of revenue biggest share of install base uh but we do have more than one product we have openstack as a service we have bare metal as a service we have containers as a service with kubernetes i want to ask you some of the the i'm looking at your website here platform9.com some of the three marketing messages i want you to break these down for me simplify day two ops multi-cloud ready on day one and we know so many businesses are multi-cloud and percentage is only going up and faster time to market talk to me about this let's start with simplified day two ops how do you enable that so you know one of the biggest if you talk to anyone who runs like a large vmware environment and you ask them when was the last time you did an upgrade or for that matter somebody who's running like a large-scale kubernetes environment or an openstack environment uh probably in a private cloud deployment awesome when was the last time you did an upgrade how did that go when was the last time you had an outage who did you call how did that go right and you'll hear an outpouring of emotion okay same thing you go ask people when you use kubernetes in the public cloud how do these things work and they'll say it's pretty easy it's not that hard and so the question the idea of platform 9 is why is there such a divide there's this you know we talk about digital divide there is a cloud divide the public clouds have figured out something that the rest of the industry has not and people suffer with private clouds there's a lot of demand for private clouds very few people can make it work because they try to do it with a lot of like handheld tools and you know limited automation skills and scripting what you need is you need the automation that makes sure that ongoing troubleshooting 24x7 alerting upgrades to new versions are all fully managed when amazon doesn't upgrade to a new version people don't have to worry about it they don't have to stay up at night they don't deal with outages you shouldn't have to deal with that in your private cloud so those are the kinds of problems right the troubleshooting the upgrades the the remediation when things go wrong that are taken for granted in the public cloud that we bring to the customers who want to run them in private or hybrid or edge cloud environments how do you help customers and what does future proofing mean like how do you help customers future proof their cloud native journey what does that mean to platform 9 and what does that mean to your customers i'll give you one of my favorite stories is actually one of our early customers is snapfish it's a photo sharing company it's a consumer company right when they got started with us they were coming off of vmware they wanted to run an openstack environment they started nearly four years ago and they started using us with openstack and vms and infrastructure as a service fast forward to today 85 percent of the usage on us is containers and they didn't have to hire openstack experts nor do they have to hire kubernetes experts but their application development teams got went from moving from a somewhat legacy vmware style id environment to a modern self-service developer experience with openstack and then to containers and kubernetes and we're gonna we're gonna work on the next generation of innovation with serverless technologies simplifying you know building modern more elastic applications and so our control plane the beauty of our model is our control plane adds value it added value with openstack it added value with kubernetes it'll add value with what's next around the evolution of serverless technologies right it's evergreen and our customers get the benefit of all of that so when you talk about managing environments that are on premises and in clouds i assume you're talking hyperscale clouds like aws azure gcp um what kind of infrastructure needs to be deployed and when i say infrastructure that's can be software what needs to be deployed in say aws for this to work what does it look like so some 30 of our users use us on in the public cloud and the majority of that actually happens in aws uh because they're the number one cloud and we really give people three choices right so they can choose to use and consume aws the way they want to so we have a small minority of customers that actually provisions bare metal servers in aws that's a small minority because the specific use cases they're trying to do and they try to deploy like kubernetes on bare metal but the bare metal happens to be running on aws okay that's a small minority a larger majority of our users in aws or some hyperscale cloud brings their vpc under management so they come in get started sign up with platform 9 in their platform 9 control plane they go and say i want to plug in this vpc and i want to give you this much authorization to this vpc and in that vpc we essentially can impersonate them and on their behalf provision nodes and provision clusters using our communities open source kubernetes upstream cncf kubernetes but we also have customers that said hey i already have some clusters with eks i really like what the rest of your platform allows me to do and i think it's a better platform for me to use for a variety of reasons can you bring my eks clusters under management and then help me provision new new clusters on top and the answer is you can so you can choose to bring your bare metal you can choose to bring your vpc and just provision like virtual machine and treat them as nodes for communities clusters or you can bring pre-built kubernetes clusters and manage them using our management uh product what are your routes to market so we have three routes to market um we have a completely self-serve completely free forever uh experience where people can just go sign up log in get access to the control plane and be up and running within minutes right they can plug in their server hardware on premises at the edge in the cloud their vpcs and they can be up and running from there they can choose to upgrade upsell into a grow into an uh growth tier or you know choose to request for more support and a higher touch experience and work with our sales team and get into an enterprise tier and our that is our second go to market which is a direct go to market uh companies in the retail space companies tech companies uh companies in fintech companies that are investing in digital transformation a big way have lots of software developers and are adopting these technologies in a big way but want private or hybrid or edge clouds that's the second go to market the third and and in the last two years this is new to us really exciting go to market to us is a partner partner let go to market where partners like rackspace have oem platform line so we have a partnership d partnership with rackspace all of rackspace's customers and they install base essentially including customers who are consuming public cloud services wire rackspace get access to platform 9 and rackspace working together with rackspace's ability to kind of service the whole mile uh and also uh we have a very important partnership with maveneer in the 5g space so 5g we think is a large opportunity and there's a there's a joint product there called maven webscape platform to run 5g networks on our community stack so platform nine why what does that mean harry potter harry potter so it's platform nine and three quarters okay we had this realization my cofounders and i were at vmware for 10 for 10 15 years and we were struggling with this problem of why is the public cloud so easy to use why is it so hard to run a private cloud and even today i think not many people realize uh and that's the analogy to platform nine and three quarters it's like it's right in the middle of king's cross station you go through it and you enter the whole new world of magic that that secret door that platform nine and three quarters is a sas control plane that is a secret sauce that amazon has and azure has and google has and we're bringing that for anybody who wants to use it on any infrastructure of their choice where can customers go to learn more about platform nine so platform nine dot com uh follow us on twitter platform line says or on linkedin you know and if any of our viewers are here at kubecon they can stop by your booth what are some of the things that you're featuring there we are at the booth we have our product managers we have our support engineers we have the people that are actually doing the real work behind the product right there we're talking about our roadmap we're talking about the product demos we're doing like specific show talks on specific deep dives in our product and we're also talking about some some really cool things that are coming up in the garage uh in the in the next six months can you leave us with any teasers about what some of the cool things are that are coming up in the garage yeah one one one thing that is a really big deal is um uh is the ability to manage kubernetes clusters as as as cattle right kubernetes makes node management and app management lets you treat them as cattle instead of pets but kubernetes clusters themselves our customers tell us like even in amazon eks and others these clusters themselves become pets and they become hard to manage so we have a really really interesting capability to manage these as more as you know from infrastructure code with githubs uh as cattle we actually have an announcement that i'm not able to share at this point which is coming out in two weeks uh in the ed space so you'll have to stay tuned for that so folks can go to platformnine.com.com check out that announcement two weeks two weeks from now by the end of october that's right awesome sharers thank you so much for joining us i love the fact that you asked that question because i kept thinking platform nine where do i know that from and i just googled harry potter that's right from nine and five dying because i didn't automatically make the correlation because my son and i are the most unbelievable potterheads ever yeah well so we have that in common that's fantastic awesome thank you for joining us sharing what platform mine is some of the exciting stuff coming out and two weeks learn to hear some great news about the edge absolutely awesome thank you for joining us my pleasure thank you for having me uh our pleasure as well for dave nicholson i'm lisa martin live in los angeles thecube is covering kubecon cloudnativecon21 stick around we'll be right back with our next guest

>>from around the globe. >>It's the cube >>covering fortunate security summit brought to you by ford in it. >>Welcome back to the cubes coverage, affording that security summit at the ford championship here in napa. I'm lisa martin and I'm very pleased to welcome back to the cube kenzi founder and chairman and ceo affording that, ken. Welcome back to the program. >>Thank you is uh, we're happy to be here after almost two years and uh, >>I know it's great to see you in person. I was saying before we went live, I forgot how tall you are. So this is a great event. But I want you to talk to me a little bit about some of the amazing growth. The Fortinet has seen 500,000 customers close to 30% year on year growth continuing to post solid earnings stock is more than double this year. What are some of the things that you attribute this group to and what do you think in your opinion differentiates format? >>I think some of the more strategic long term investment we made started paying off like uh, we're still the only company actually develop basic chip which can making a huge computing power advantage compared to using software to all the security function computing Because security tend to need about like 1300 times more company in power to process the same data as a routing switching. So that's where for the network security definitely a chap, a huge advantage And we invested very early and take a long term and also a big investment and so far started paying off the other thing we also keeping a lot of innovation and the internal organic growth for the company instead of do a lot of acquisition and that's also started making all these different products integrate well ultimately to get well. And that's also driving a huge growth, not just that was security, but also we see the fabric also has global fast, >>interesting. So you're really keeping it organic, which is not common a lot of these days we see a lot of acquisitions, but one of the things, a lot of growth, another thing that we do know that's growing is the threat landscape I was mentioning before we went live that I spoke with Derek Manky a couple times this summer and John Madison and the global threat landscape report showing ransomware up nearly 11 times in the last year. Of course we had this rapid transition to work from home and all these devices on accessing corporate networks from home. Talk to me about some of the security challenges that you're helping customers deal with. >>I think during the pandemic, definitely you see a lot of security issues that come up because work from home with your remote access a lot of important information, a lot of important data there At the same time. The ransomware attacks studying like a mentioning 11 times compared to like one or two years ago all this driving all there's a new technology for security. So now you cannot just secure the board anymore. So you have a secure the whole infrastructure. Both internal to a lot of internal segmentation And also go outside security when like I see when the 5G. Connection and how to secure work from home and they trust their trust access environment all these drive a lot of security growth. So we see the yeah it's a it's a pretty healthy market >>it's definitely a healthy market that's one thing looking at it from that lens. What are some of the customer conversation? How have the customer conversations changed? Are you now talking with different levels and organizations security Being a board level conversation discussion and talk to me about how those conversations have evolved. >>Security now become very important part of I. T. And uh pretty much all top one top two on the 80 spending now and the same time what to work from home or some other uh definitely seeing the board level conversation right now because you can see if there's a security issue for the company the damage could be huge. Right? So that's where the secure awareness especially ransomware is very very huge And plus the supply chain issues some other attack on the infrastructure. So we see a lot of security conversation in the bowl level in the Ceo in the in the executive level now compared to before more I. T. Conversation. So it's to drive the huge awareness of security and that's also we see everybody citing concerns security now. >>But I'm sure I imagine that's across every industry. Yes. >>Yeah pretty much all the vertical right? And especially a lot of new area traditionally they don't have much security like some smb some consumer some traditional Ot IOT space now it's all security studying that very important for them now. >>So let's talk about, here we are. The security summit at the fortunate championship. Give me your perspective on the P. G. A. Ford in that relationship. >>Uh first I think it's a golf is also event sports especially during the epidemic that's probably become the most favorite spot. And for me also I'm a golfer for 30 years. Never market golfer but I love the sport on the other side we see sometimes it's uh working with a lot of a customer a lot of a partner they behave if we can combine some business and there was certain like activity especially outdoor that's also be great. And also helping Brandon and that's another way we can contribute back to the community. So they say hey then then that's that's the first time for us. We just love it gets going. >>It's great to be outdoors right at 40 minutes doing an event outdoors showing that yes you can do that safely. But also I also hear from some of your other team members that it's a very culturally synergistic relationship. The pgn format. >>Yes. Exactly. Yeah that's where we love this golf and especially working with a different partner and different partner and also all the team working together. So it's a team sport kind of on the other side it's all do and enjoy a combined working uh activity altogether. Everybody love it. >>Something that so many of us have missed Ken for the last 18 months or so. So we're at the security summit, there's over 300 technology leaders here. Talk to me about some of the main innovations that are being discussed. >>Uh definitely see security starting uh little covered whole infrastructure and uh especially in a lot of environment. Traditionally no security cannot be deployed like internal segmentation because internal network can be 10, 200 faster than the one connection. So it has to be deployed in the in the internal high speed environment whether inside the company or kind of inside the data center, inside the cloud on the other side, like a lot of one connection traditionally like whether they see one or the traditional like cuba more than the S E O. They also need to be combined with security and also in the zero trust access environment to really supporting work from home and also a lot of ot operation technology and a lot of other IOT space utility. All these different kind of like environment need to be supported, sometimes recognized environment. So we see security studying deport everywhere whether the new small city or the like connected car environment and we just see become more and more important. That's also kind of we studying what we call in a secure driven networking because traditionally you can see today's networking just give you the connectivity and speed so they treat everything kind of uh no difference but with security driven network and you can make in the networking decision move based on the security function, like a different application or different content, different user, different device, even different location, you can make a different kind of level decision so that we see is a huge demand right now can make the whole environment, whole infrastructure much secure. >>That's absolutely critical that pivot to work from home was pretty much overnight a year and a half ago and we still have so many people who are permanently remote, remote but probably will be permanently and a good amount will be hybrid in the future, some TBD amount. Uh and one of the challenges is of course you've got people suddenly from home you've got a pandemic. So you've got an emotional situation, you've got people multitasking, they've got kids at home trying to learn maybe spouses working, they're trying to do Everything by a video conferencing and collaboration tools and the security risks. There are huge and we've seen some of that obviously reflected in the nearly 11 x increase in ransomware but talk to me about what 14 announced yesterday with links is to help on that front in a considerable way. >>That's where we totally agree with you the work from home or kind of hybrid way to work in. Pretty much will become permanent. And that's where how to make a home environment more kind of supporting is a remote working especially like when you have a meeting, there are some other things going on in the whole activity and also sometimes data you access can be pretty important, pretty confidential. That's where whether in the zero trust environment or making the home connection more reliable, more secure. It's all very, very important for us. Uh, that's where we were happy to partner with Lynxes and some other partner here uh, to support in this hybrid working environment to make work from home more secure. And uh, as we see is a huge opportunity, >>huge opportunity and a lot of industries, I had the pleasure of talking with links to Ceo Harry do is just an hour or so ago and I asked him what are some of the vertical, since we know from a security and a ransomware perspective, it's just wide open. Right, Nobody's safe anymore from it. But what are some of the verticals that you think are going to be early adopters of this technology, government health care schools, >>I think pretty much all vertical start and see this work from home and it's very, very important for us. There's a few top vertical, traditionally finance service, uh, spend a lot of money healthcare, spend a lot of money on security. So they are still the same? We don't see that change March on the other side. A lot of high tech company, which also one of the big vertical for us now, I say maybe half or even more than half the employee they want to work for home. So that's also making they say uh they call home branch now, so it's just make home always just secure and reliable as a branch office and at the same time of Southern government and the sort of education vertical and they all started C is very, very important to do this, remote their trust access approach and the same time working with a lot of service providers to supporting this, both the D. N. A. And also the sassy approach. So we are only companies on the saturday company partner, a lot of IT service provider. We do believe long term of the service provider, they have the best location, best infrastructure, best team to supporting Sassy, which we also build ourselves. If customers don't have a service provider, we're happy to supporting them. But if they have a service provider, we also prefer, they go to service provider to supporting them because we also want to have a better ecosystem and making everybody like uh benefit has women's situation. So that's what we see is whether they trust no access or sassy. Very happy to work with all the partners to making everybody successful. >>And where our customers in that evolution from traditional VPN to Z T and a for example, are you seeing an acceleration of that given where we are in this interesting climate >>uh definitely because work from home is uh if you try to access use VPN, you basically open up all the network to the home environment which sometimes not quite secure, not very reliable. Right? So that's where using a Z T N A, you can access a certain application in a certain like environment there. And the same leverage ste when there's other huge technology advantage can lower the cost of the multiple link and balance among different costs, different connection and uh different reliability there. Uh it's a huge advantage, >>definitely one of the many advantages that reporting it has. So this afternoon there's going to be a, as part of the security summit, a panel that you and several other Fortinet execs are on taking part in A Q and a, what are some of the topics that you think are going to come up? And as part of that Q and >>A. I see for certain enterprise customer, definitely the ransomware attack, how to do the internal segmentation, how to securely do the remote access work from home. So we are very important For some service provider. We also see how to supporting them for the sassy environment and certain whole infrastructure security, whether the 5G or the SD went because everyone has a huge demand and uh it's a group over for us, we become a leader in the space. It's very very important for them. We also see uh like a different vertical space, Some come from healthcare, some from come from education. Uh they all have their own kind of challenge. Especially like there's a lot of uh oh T IOT device in healthcare space need to be secured and the same thing for the O. T. IOT space, >>Tremendous amount of opportunity. One thing I want to ask it, get your opinion on is the cybersecurity skills gap. It's been growing year, over year for the last five years. I know that just last week 14 that pledge to train one million professionals in the next five years, you guys have been focused on this for a while. I love that you have a veterans program. I'm the daughter of a Vietnam combat veterans. So that always warms my heart. But is that something, is the cybersecurity skills got something that customers ask you ken? How do you recommend? We saw this? >>Yes, we have been doing this for over 10 years. We have the program, we call the network secured expert program a different level. So we have 24 million people. We also commit a traditional million people because there's a huge shortage of the scale separate security expert there. So we do work in with over like a 4500 university globally at the same time. We also want to offer the free training to all the people interested, especially all the veterans and other Like even high school graduate high school student there and at the same time anyone want to learn several security. We feel that that's, that's very good space, very exciting space and very fast-growing space also still have a huge shortage globally. There's a 3-4 million shortage of skilled people in the space, which is a or fast growing space. And so we were happy to support all the train education with different partners at the same time, try to contribute ourselves. >>I think that's fantastic. Will be excited to see over the next five years that impact on that training one million. And also to see it to your point with how much the industry is changing, how much, how fast supporting that's growing. There's a lot of job opportunity out there. I think it was Sandra who said that I was talking to her this morning that there's no job security like cybersecurity. It's really true. If you think about it. >>Yeah, I totally agree. Yeah. Like remember a few years ago when we started the first time to do all this interview, I said, hey, it's a barber hot space now, let's get harder and harder, more people interested now. And I really thank you cube and you give all the support it all these years and we're happy to be here. >>Absolutely. It's our pleasure. Well, I know you are paired up. You said tomorrow with Phil Mickelson for the pro am. That's pretty exciting, ken. >>I'm not sure I'm a very good golfer, but I will try my best. >>You try your best. I'm sure it will be a fantastic experience. Thank you for having the cube here for bringing people back together for this event, showing that we can do this, we can do this safely and securely. And also what Fortinet is doing to really help address that cyber security skills gap and uh, really make us more aware of the threats and the landscape and how we, as individuals and enterprises can help sort to quiet that storm >>also will be happy to be here and also being honored to be part of the program at the same time. We also want to thank you a lot of partner model customer and join us together for this big PJ event and thank you for everyone. >>Absolutely. And you guys are a big partner driven organization. I'm sure the partners appreciate that, ken, Thank you so much. >>Thank you. Thank you lisa >>for kenzi. I'm lisa martin. You're watching the cue from the Fortinet security summit in napa valley. >>Yeah. Mhm

>>Have you ever wondered how we sequence the human genome, how your smartphone is so well smart, how we will ever analyze all the patient data for the new vaccines or even how we plan to send humans to Mars? Well, at Cloudera, we believe that data can make what is impossible today possible tomorrow we are the enterprise data cloud company. In fact, we provide analytics and machine learning technology that does everything from making your smartphone smarter, to helping scientists ensure that new vaccines are both safe and effective, big data, no problem out era, the enterprise data cloud company. >>So I think for a long time in this country, we've known that there's a great disparity between minority populations and the majority of population in terms of disease burden. And depending on where you live, your zip code has more to do with your health than almost anything else. But there are a lot of smaller, um, safety net facilities, as well as small academic medical colleges within the United States. And those in those smaller environments don't have the access, you know, to the technologies that the larger ones have. And, you know, I call that, uh, digital disparity. So I'm, Harry's in academic scientist center and our mission is to train diverse health care providers and researchers, but also provide services to underserved populations. As part of the reason that I think is so important for me hearing medical college, to do data science. One of the things that, you know, both Cloudera and Claire sensor very passionate about is bringing those height in technologies to, um, to the smaller organizations. >>It's very expensive to go to the cloud for these small organizations. So now with the partnership with Cloudera and Claire sets a clear sense, clients now enjoy those same technologies and really honestly have a technological advantage over some of the larger organizations. The reason being is they can move fast. So we were able to do this on our own without having to, um, hire data scientists. Uh, we probably cut three to five years off of our studies. I grew up in a small town in Arkansas and is one of those towns where the railroad tracks divided the blacks and the whites. My father died without getting much healthcare at all. And as an 11 year old, I did not understand why my father could not get medical attention because he was very sick. >>Since we come at my Harry are looking to serve populations that reflect themselves or affect the population. He came from. A lot of the data you find or research you find health is usually based on white men. And obviously not everybody who needs a medical provider is going to be a white male. >>One of the things that we're concerned about in healthcare is that there's bias in treatment already. We want to make sure those same biases do not enter into the algorithms. >>The issue is how do we get ahead of them to try to prevent these disparities? >>One of the great things about our dataset is that it contains a very diverse group of patients. >>Instead of just saying, everyone will have these results. You can break it down by race, class, cholesterol, level, other kinds of factors that play a role. So you can make the treatments in the long run. More specifically, >>Researchers are now able to use these technologies and really take those hypotheses from, from bench to bedside. >>We're able to overall improve the health of not just the person in front of you, but the population that, yeah, >>Well, the future is now. I love a quote by William Gibson who said the future is already here. It's just not evenly distributed. If we think hard enough and we apply things properly, uh, we can again take these technologies to, you know, underserved environments, um, in healthcare. Nobody should be technologically disadvantage. >>When is a car not just a car when it's a connected data driven ecosystem, dozens of sensors and edge devices gathering up data from just about anything road, infrastructure, other vehicles, and even pedestrians to create safer vehicles, smarter logistics, and more actionable insights. All the data from the connected car supports an entire ecosystem from manufacturers, building safer vehicles and fleet managers, tracking assets to insurers monitoring, driving behaviors to make roads safer. Now you can control the data journey from edge to AI. With Cloudera in the connected car, data is captured, consolidated and enriched with Cloudera data flow cloud Dara's data engineering, operational database and data warehouse provide the foundation to develop service center applications, sales reports, and engineering dashboards. With data science workbench data scientists can continuously train AI models and use data flow to push the models back to the edge, to enhance the car's performance as the industry's first enterprise data cloud Cloudera supports on-premise public and multi-cloud deployments delivering multifunction analytics on data anywhere with common security governance and metadata management powered by Cloudera SDX, an open platform built on open source, working with open compute architectures and open data stores all the way from edge to AI powering the connected car. >>The future has arrived. >>The Dawn of a retail Renaissance is here and shopping will never be the same again. Today's connected. Consumers are always on and didn't control. It's the era of smart retail, smart shelves, digital signage, and smart mirrors offer an immersive customer experience while delivering product information, personalized offers and recommendations, video analytics, capture customer emotions and gestures to better understand and respond to in-store shopping experiences. Beacons sensors, and streaming video provide valuable data into in-store traffic patterns, hotspots and dwell times. This helps retailers build visual heat maps to better understand custom journeys, conversion rates, and promotional effectiveness in our robots automate routine tasks like capturing inventory levels, identifying out of stocks and alerting in store personnel to replenish shelves. When it comes to checking out automated e-commerce pickup stations and frictionless checkouts will soon be the norm making standing in line. A thing of the past data and analytics are truly reshaping. >>The everyday shopping experience outside the store, smart trucks connect the supply chain, providing new levels of inventory visibility, not just into the precise location, but also the condition of those goods. All in real time, convenience is key and customers today have the power to get their goods delivered at the curbside to their doorstep, or even to their refrigerators. Smart retail is indeed here. And Cloudera makes all of this possible using Cloudera data can be captured from a variety of sources, then stored, processed, and analyzed to drive insights and action. In real time, data scientists can continuously build and train new machine learning models and put these models back to the edge for delivering those moment of truth customer experiences. This is the enterprise data cloud powered by Cloudera enabling smart retail from the edge to AI. The future has arrived >>For is a global automotive supplier. We have three business groups, automotive seating in studios, and then emission control technologies or biggest automotive customers are Volkswagen for the NPSA. And we have, uh, more than 300 sites. And in 75 countries >>Today, we are generating tons of data, more and more data on the manufacturing intelligence. We are trying to reduce the, the defective parts or anticipate the detection of the, of the defective part. And this is where we can get savings. I would say our goal in manufacturing is zero defects. The cost of downtime in a plant could be around the a hundred thousand euros. So with predictive maintenance, we are identifying correlations and patterns and try to anticipate, and maybe to replace a component before the machine is broken. We are in the range of about 2000 machines and we can have up to 300 different variables from pressure from vibration and temperatures. And the real-time data collection is key, and this is something we cannot achieve in a classical data warehouse approach. So with the be data and with clouded approach, what we are able to use really to put all the data, all the sources together in the classical way of working with that at our house, we need to spend weeks or months to set up the model with the Cloudera data lake. We can start working on from days to weeks. We think that predictive or machine learning could also improve on the estimation or NTC patient forecasting of what we'll need to brilliance with all this knowledge around internet of things and data collection. We are applying into the predictive convene and the cockpit of the future. So we can work in the self driving car and provide a better experience for the driver in the car. >>The Cloudera data platform makes it easy to say yes to any analytic workload from the edge to AI, yes. To enterprise grade security and governance, yes. To the analytics your people want to use yes. To operating on any cloud. Your business requires yes to the future with a cloud native platform that flexes to meet your needs today and tomorrow say yes to CDP and say goodbye to shadow it, take a tour of CDP and see how it's an easier, faster and safer enterprise analytics and data management platform with a new approach to data. Finally, a data platform that lets you say yes, >>Welcome to transforming ideas into insights, presented with the cube and made possible by cloud era. My name is Dave Volante from the cube, and I'll be your host for today. And the next hundred minutes, you're going to hear how to turn your best ideas into action using data. And we're going to share the real world examples and 12 industry use cases that apply modern data techniques to improve customer experience, reduce fraud, drive manufacturing, efficiencies, better forecast, retail demand, transform analytics, improve public sector service, and so much more how we use data is rapidly evolving as is the language that we use to describe data. I mean, for example, we don't really use the term big data as often as we used to rather we use terms like digital transformation and digital business, but you think about it. What is a digital business? How is that different from just a business? >>Well, digital business is a data business and it differentiates itself by the way, it uses data to compete. So whether we call it data, big data or digital, our belief is we're entering the next decade of a world that puts data at the core of our organizations. And as such the way we use insights is also rapidly evolving. You know, of course we get value from enabling humans to act with confidence on let's call it near perfect information or capitalize on non-intuitive findings. But increasingly insights are leading to the development of data, products and services that can be monetized, or as you'll hear in our industry, examples, data is enabling machines to take cognitive actions on our behalf. Examples are everywhere in the forms of apps and products and services, all built on data. Think about a real-time fraud detection, know your customer and finance, personal health apps that monitor our heart rates. >>Self-service investing, filing insurance claims and our smart phones. And so many examples, IOT systems that communicate and act machine and machine real-time pricing actions. These are all examples of products and services that drive revenue cut costs or create other value. And they all rely on data. Now while many business leaders sometimes express frustration that their investments in data, people, and process and technologies haven't delivered the full results they desire. The truth is that the investments that they've made over the past several years should be thought of as a step on the data journey. Key learnings and expertise from these efforts are now part of the organizational DNA that can catapult us into this next era of data, transformation and leadership. One thing is certain the next 10 years of data and digital transformation, won't be like the last 10. So let's get into it. Please join us in the chat. >>You can ask questions. You can share your comments, hit us up on Twitter right now. It's my pleasure to welcome Mick Holliston in he's the president of Cloudera mic. Great to see you. Great to see you as well, Dave, Hey, so I call it the new abnormal, right? The world is kind of out of whack offices are reopening again. We're seeing travel coming back. There's all this pent up demand for cars and vacations line cooks at restaurants. Everything that we consumers have missed, but here's the one thing. It seems like the algorithms are off. Whether it's retail's fulfillment capabilities, airline scheduling their pricing algorithms, you know, commodity prices we don't know is inflation. Transitory. Is it a long-term threat trying to forecast GDP? It's just seems like we have to reset all of our assumptions and make a feel a quality data is going to be a key here. How do you see the current state of the industry and the role data plays to get us into a more predictable and stable future? Well, I >>Can sure tell you this, Dave, uh, out of whack is definitely right. I don't know if you know or not, but I happen to be coming to you live today from Atlanta and, uh, as a native of Atlanta, I can, I can tell you there's a lot to be known about the airport here. It's often said that, uh, whether you're going to heaven or hell, you got to change planes in Atlanta and, uh, after 40 minutes waiting on algorithm to be right for baggage claim when I was not, I finally managed to get some bag and to be able to show up dressed appropriately for you today. Um, here's one thing that I know for sure though, Dave, clean, consistent, and safe data will be essential to getting the world and businesses as we know it back on track again, um, without well-managed data, we're certain to get very inconsistent outcomes, quality data will the normalizing factor because one thing really hasn't changed about computing since the Dawn of time. Back when I was taking computer classes at Georgia tech here in Atlanta, and that's what we used to refer to as garbage in garbage out. In other words, you'll never get quality data-driven insights from a poor data set. This is especially important today for machine learning and AI, you can build the most amazing models and algorithms, but none of it will matter if the underlying data isn't rock solid as AI is increasingly used in every business app, you must build a solid data foundation mic. Let's >>Talk about hybrid. Every CXO that I talked to, they're trying to get hybrid, right? Whether it's hybrid work hybrid events, which is our business hybrid cloud, how are you thinking about the hybrid? Everything, what's your point of view with >>All those descriptions of hybrid? Everything there, one item you might not have quite hit on Dave and that's hybrid data. >>Oh yeah, you're right. Mick. I did miss that. What, what do you mean by hybrid data? Well, >>David in cloud era, we think hybrid data is all about the juxtaposition of two things, freedom and security. Now every business wants to be more agile. They want the freedom to work with their data, wherever it happens to work best for them, whether that's on premises in a private cloud and public cloud, or perhaps even in a new open data exchange. Now this matters to businesses because not all data applications are created equal. Some apps are best suited to be run in the cloud because of their transitory nature. Others may be more economical if they're running a private cloud, but either way security, regulatory compliance and increasingly data sovereignty are playing a bigger and more important role in every industry. If you don't believe me, just watch her read a recent news story. Data breaches are at an all time high. And the ethics of AI applications are being called into question every day and understanding the lineage of machine learning algorithms is now paramount for every business. So how in the heck do you get both the freedom and security that you're looking for? Well, the answer is actually pretty straightforward. The key is developing a hybrid data strategy. And what do you know Dave? That's the business cloud era? Is it on a serious note from cloud era's perspective? Adopting a hybrid data strategy is central to every business's digital transformation. It will enable rapid adoption of new technologies and optimize economic models while ensuring the security and privacy of every bit of data. What can >>Make, I'm glad you brought in that notion of hybrid data, because when you think about things, especially remote work, it really changes a lot of the assumptions. You talked about security, the data flows are going to change. You've got the economics, the physics, the local laws come into play. So what about the rest of hybrid? Yeah, >>It's a great question, Dave and certainly cloud era itself as a business and all of our customers are feeling this in a big way. We now have the overwhelming majority of our workforce working from home. And in other words, we've got a much larger surface area from a security perspective to keep in mind the rate and pace of data, just generating a report that might've happened very quickly and rapidly on the office. Uh, ether net may not be happening quite so fast in somebody's rural home in, uh, in, in the middle of Nebraska somewhere. Right? So it doesn't really matter whether you're talking about the speed of business or securing data, any way you look at it. Uh, hybrid I think is going to play a more important role in how work is conducted and what percentage of people are working in the office and are not, I know our plans, Dave, uh, involve us kind of slowly coming back to work, begin in this fall. And we're looking forward to being able to shake hands and see one another again for the first time in many cases for more than a year and a half, but, uh, yes, hybrid work, uh, and hybrid data are playing an increasingly important role for every kind of business. >>Thanks for that. I wonder if we could talk about industry transformation for a moment because it's a major theme of course, of this event. So, and the case. Here's how I think about it. It makes, I mean, some industries have transformed. You think about retail, for example, it's pretty clear, although although every physical retail brand I know has, you know, not only peaked up its online presence, but they also have an Amazon war room strategy because they're trying to take greater advantage of that physical presence, uh, and ended up reverse. We see Amazon building out physical assets so that there's more hybrid going on. But when you look at healthcare, for example, it's just starting, you know, with such highly regulated industry. It seems that there's some hurdles there. Financial services is always been data savvy, but you're seeing the emergence of FinTech and some other challenges there in terms of control, mint control of payment systems in manufacturing, you know, the pandemic highlighted America's reliance on China as a manufacturing partner and, and supply chain. Uh it's so my point is it seems that different industries they're in different stages of transformation, but two things look really clear. One, you've got to put data at the core of the business model that's compulsory. It seems like embedding AI into the applications, the data, the business process that's going to become increasingly important. So how do you see that? >>Wow, there's a lot packed into that question there, Dave, but, uh, yeah, we, we, uh, you know, at Cloudera I happened to be leading our own digital transformation as a technology company and what I would, what I would tell you there that's been arresting for us is the shift from being largely a subscription-based, uh, model to a consumption-based model requires a completely different level of instrumentation and our products and data collection that takes place in real, both for billing, for our, uh, for our customers. And to be able to check on the health and wellness, if you will, of their cloud era implementations. But it's clearly not just impacting the technology industry. You mentioned healthcare and we've been helping a number of different organizations in the life sciences realm, either speed, the rate and pace of getting vaccines, uh, to market, uh, or we've been assisting with testing process. >>That's taken place because you can imagine the quantity of data that's been generated as we've tried to study the efficacy of these vaccines on millions of people and try to ensure that they were going to deliver great outcomes and, and healthy and safe outcomes for everyone. And cloud era has been underneath a great deal of that type of work and the financial services industry you pointed out. Uh, we continue to be central to the large banks, meeting their compliance and regulatory requirements around the globe. And in many parts of the world, those are becoming more stringent than ever. And Cloudera solutions are really helping those kinds of organizations get through those difficult challenges. You, you also happened to mention, uh, you know, public sector and in public sector. We're also playing a key role in working with government entities around the world and applying AI to some of the most challenging missions that those organizations face. >>Um, and while I've made the kind of pivot between the industry conversation and the AI conversation, what I'll share with you about AI, I touched upon a little bit earlier. You can't build great AI, can't grow, build great ML apps, unless you've got a strong data foundation underneath is back to that garbage in garbage out comment that I made previously. And so in order to do that, you've got to have a great hybrid dated management platform at your disposal to ensure that your data is clean and organized and up to date. Uh, just as importantly from that, that's kind of the freedom side of things on the security side of things. You've got to ensure that you can see who just touched, not just the data itself, Dave, but actually the machine learning models and organizations around the globe are now being challenged. It's kind of on the topic of the ethics of AI to produce model lineage. >>In addition to data lineage. In other words, who's had access to the machine learning models when and where, and at what time and what decisions were made perhaps by the humans, perhaps by the machines that may have led to a particular outcome. So every kind of business that is deploying AI applications should be thinking long and hard about whether or not they can track the full lineage of those machine learning models just as they can track the lineage of data. So lots going on there across industries, lots going on as those various industries think about how AI can be applied to their businesses. Pretty >>Interesting concepts. You bring it into the discussion, the hybrid data, uh, sort of new, I think, new to a lot of people. And th this idea of model lineage is a great point because people want to talk about AI, ethics, transparency of AI. When you start putting those models into, into machines to do real time inferencing at the edge, it starts to get really complicated. I wonder if we could talk about you still on that theme of industry transformation? I felt like coming into the pandemic pre pandemic, there was just a lot of complacency. Yeah. Digital transformation and a lot of buzz words. And then we had this forced March to digital, um, and it's, but, but people are now being more planful, but there's still a lot of sort of POC limbo going on. How do you see that? Can you help accelerate that and get people out of that state? It definitely >>Is a lot of a POC limbo or a, I think some of us internally have referred to as POC purgatory, just getting stuck in that phase, not being able to get from point a to point B in digital transformation and, um, you know, for every industry transformation, uh, change in general is difficult and it takes time and money and thoughtfulness, but like with all things, what we found is small wins work best and done quickly. So trying to get to quick, easy successes where you can identify a clear goal and a clear objective and then accomplish it in rapid fashion is sort of the way to build your way towards those larger transformative efforts set. Another way, Dave, it's not wise to try to boil the ocean with your digital transformation efforts as it relates to the underlying technology here. And to bring it home a little bit more practically, I guess I would say at cloud era, we tend to recommend that companies begin to adopt cloud infrastructure, for example, containerization. >>And they begin to deploy that on-prem and then they start to look at how they may move those containerized workloads into the public cloud. That'll give them an opportunity to work with the data and the underlying applications themselves, uh, right close to home in place. They can kind of experiment a little bit more safely and economically, and then determine which workloads are best suited for the public cloud and which ones should remain on prem. That's a way in which a hybrid data strategy can help get a digital transformation accomplish, but kind of starting small and then drawing fast from there on customer's journey to the we'll make we've >>Covered a lot of ground. Uh, last question. Uh, w what, what do you want people to leave this event, the session with, and thinking about sort of the next era of data that we're entering? >>Well, it's a great question, but, uh, you know, I think it could be summed up in, uh, in two words. I want them to think about a hybrid data, uh, strategy. So, uh, you know, really hybrid data is a concept that we're bringing forward on this show really for the, for the first time, arguably, and we really do think that it enables customers to experience what we refer to Dave as the power of, and that is freedom, uh, and security, and in a world where we're all still trying to decide whether each day when we walk out each building, we walk into, uh, whether we're free to come in and out with a mask without a mask, that sort of thing, we all want freedom, but we also also want to be safe and feel safe, uh, for ourselves and for others. And the same is true of organizations. It strategies. They want the freedom to choose, to run workloads and applications and the best and most economical place possible. But they also want to do that with certainty, that they're going to be able to deploy those applications in a safe and secure way that meets the regulatory requirements of their particular industry. So hybrid data we think is key to accomplishing both freedom and security for your data and for your business as a whole, >>Nick, thanks so much great conversation and really appreciate the insights that you're bringing to this event into the industry. Really thank you for your time. >>You bet Dave pleasure being with you. Okay. >>We want to pick up on a couple of themes that Mick discussed, you know, supercharging your business with AI, for example, and this notion of getting hybrid, right? So right now we're going to turn the program over to Rob Bearden, the CEO of Cloudera and Manny veer, DAS. Who's the head of enterprise computing at Nvidia. And before I hand it off to Robin, I just want to say for those of you who follow me at the cube, we've extensively covered the transformation of the semiconductor industry. We are entering an entirely new era of computing in the enterprise, and it's being driven by the emergence of data, intensive applications and workloads no longer will conventional methods of processing data suffice to handle this work. Rather, we need new thinking around architectures and ecosystems. And one of the keys to success in this new era is collaboration between software companies like Cloudera and semiconductor designers like Nvidia. So let's learn more about this collaboration and what it means to your data business. Rob, thanks, >>Mick and Dave, that was a great conversation on how speed and agility is everything in a hyper competitive hybrid world. You touched on AI as essential to a data first strategy and accelerating the path to value and hybrid environments. And I want to drill down on this aspect today. Every business is facing accelerating everything from face-to-face meetings to buying groceries has gone digital. As a result, businesses are generating more data than ever. There are more digital transactions to track and monitor. Now, every engagement with coworkers, customers and partners is virtual from website metrics to customer service records, and even onsite sensors. Enterprises are accumulating tremendous amounts of data and unlocking insights from it is key to our enterprises success. And with data flooding every enterprise, what should the businesses do? A cloud era? We believe this onslaught of data offers an opportunity to make better business decisions faster. >>And we want to make that easier for everyone, whether it's fraud, detection, demand, forecasting, preventative maintenance, or customer churn, whether the goal is to save money or produce income every day that companies don't gain deep insight from their data is money they've lost. And the reason we're talking about speed and why speed is everything in a hybrid world and in a hyper competitive climate, is that the faster we get insights from all of our data, the faster we grow and the more competitive we are. So those faster insights are also combined with the scalability and cost benefit they cloud provides and with security and edge to AI data intimacy. That's why the partnership between cloud air and Nvidia together means so much. And it starts with the shared vision making data-driven, decision-making a reality for every business and our customers will now be able to leverage virtually unlimited quantities of varieties, of data, to power, an order of magnitude faster decision-making and together we turbo charge the enterprise data cloud to enable our customers to work faster and better, and to make integration of AI approaches a reality for companies of all sizes in the cloud. >>We're joined today by NVIDIA's Mandy veer dos, and to talk more about how our technologies will deliver the speed companies need for innovation in our hyper competitive environment. Okay, man, you're veer. Thank you for joining us over the unit. >>Thank you, Rob, for having me. It's a pleasure to be here on behalf of Nvidia. We are so excited about this partnership with Cloudera. Uh, you know, when, when, uh, when Nvidia started many years ago, we started as a chip company focused on graphics, but as you know, over the last decade, we've really become a full stack accelerated computing company where we've been using the power of GPU hardware and software to accelerate a variety of workloads, uh, AI being a prime example. And when we think about Cloudera, uh, and your company, a great company, there's three things we see Rob. Uh, the first one is that for the companies that will already transforming themselves by the use of data, Cloudera has been a trusted partner for them. The second thing seen is that when it comes to using your data, you want to use it in a variety of ways with a powerful platform, which of course you have built over time. >>And finally, as we've heard already, you believe in the power of hybrid, that data exists in different places and the compute needs to follow the data. Now, if you think about in various mission, going forward to democratize accelerated computing for all companies, our mission actually aligns very well with exactly those three things. Firstly, you know, we've really worked with a variety of companies today who have been the early adopters, uh, using the power acceleration by changing the technology in their stacks. But more and more, we see the opportunity of meeting customers, where they are with tools that they're familiar with with partners that they trust. And of course, Cloudera being a great example of that. Uh, the second, uh, part of NVIDIA's mission is we focused a lot in the beginning on deep learning where the power of GPU is really shown through, but as we've gone forward, we found that GPU's can accelerate a variety of different workloads from machine learning to inference. >>And so again, the power of your platform, uh, is very appealing. And finally, we know that AI is all about data, more and more data. We believe very strongly in the idea that customers put their data, where they need to put it. And the compute, the AI compute the machine learning compute needs to meet the customer where their data is. And so that matches really well with your philosophy, right? And Rob, that's why we were so excited to do this partnership with you. It's come to fruition. We have a great combined stack now for the customer and we already see people using it. I think the IRS is a fantastic example where literally they took the workflow. They had, they took the servers, they had, they added GPS into those servers. They did not change anything. And they got an eight times performance improvement for their fraud detection workflows, right? And that's the kind of success we're looking forward to with all customers. So the team has actually put together a great video to show us what the IRS is doing with this technology. Let's take a look. >>My name's Joanne salty. I'm the branch chief of the technical branch and RAs. It's actually the research division research and statistical division of the IRS. Basically the mission that RAs has is we do statistical and research on all things related to taxes, compliance issues, uh, fraud issues, you know, anything that you can think of. Basically we do research on that. We're running into issues now that we have a lot of ideas to actually do data mining on our big troves of data, but we don't necessarily have the infrastructure or horsepower to do it. So it's our biggest challenge is definitely the, the infrastructure to support all the ideas that the subject matter experts are coming up with in terms of all the algorithms they would like to create. And the diving deeper within the algorithm space, the actual training of those Agra algorithms, the of parameters each of those algorithms have. >>So that's, that's really been our challenge. Now the expectation was that with Nvidia in cloud, there is help. And with the cluster, we actually build out the test this on the actual fraud, a fraud detection algorithm on our expectation was we were definitely going to see some speed up in prom, computational processing times. And just to give you context, the size of the data set that we were, uh, the SMI was actually working, um, the algorithm against Liz around four terabytes. If I recall correctly, we'd had a 22 to 48 times speed up after we started tweaking the original algorithm. My expectations, quite honestly, in that sphere, in terms of the timeframe to get results, was it that you guys actually exceeded them? It was really, really quick. Uh, the definite now term short term what's next is going to be the subject matter expert is actually going to take our algorithm run with that. >>So that's definitely the now term thing we want to do going down, go looking forward, maybe out a couple of months, we're also looking at curing some, a 100 cards to actually test those out. As you guys can guess our datasets are just getting bigger and bigger and bigger, and it demands, um, to actually do something when we get more value added out of those data sets is just putting more and more demands on our infrastructure. So, you know, with the pilot, now we have an idea with the infrastructure, the infrastructure we need going forward. And then also just our in terms of thinking of the algorithms and how we can approach these problems to actually code out solutions to them. Now we're kind of like the shackles are off and we can just run them, you know, come onto our art's desire, wherever imagination takes our skis to actually develop solutions, know how the platforms to run them on just kind of the close out. >>I rarely would be very missed. I've worked with a lot of, you know, companies through the year and most of them been spectacular. And, uh, you guys are definitely in that category. The, the whole partnership, as I said, a little bit early, it was really, really well, very responsive. I would be remiss if I didn't. Thank you guys. So thank you for the opportunity to, and fantastic. And I'd have to also, I want to thank my guys. My, uh, my staff, David worked on this Richie worked on this Lex and Tony just, they did a fantastic job and I want to publicly thank him for all the work they did with you guys and Chev, obviously also. Who's fantastic. So thank you everyone. >>Okay. That's a real great example of speed and action. Now let's get into some follow up questions guys, if I may, Rob, can you talk about the specific nature of the relationship between Cloudera and Nvidia? Is it primarily go to market or you do an engineering work? What's the story there? >>It's really both. It's both go to market and engineering and engineering focus is to optimize and take advantage of invidious platform to drive better price performance, lower cost, faster speeds, and better support for today's emerging data intensive applications. So it's really both >>Great. Thank you. Many of Eric, maybe you could talk a little bit more about why can't we just existing general purpose platforms that are, that are running all this ERP and CRM and HCM and you know, all the, all the Microsoft apps that are out there. What, what do Nvidia and cloud era bring to the table that goes beyond the conventional systems that we've known for many years? >>Yeah. I think Dave, as we've talked about the asset that the customer has is really the data, right? And the same data can be utilized in many different ways. Some machine learning, some AI, some traditional data analytics. So the first step here was really to take a general platform for data processing, Cloudera data platform, and integrate with that. Now Nvidia has a software stack called rapids, which has all of the primitives that make different kinds of data processing go fast on GPU's. And so the integration here has really been taking rapids and integrating it into a Cloudera data platform. So that regardless of the technique, the customer's using to get insight from that data, the acceleration will apply in all cases. And that's why it was important to start with a platform like Cloudera rather than a specific application. >>So I think this is really important because if you think about, you know, the software defined data center brought in, you know, some great efficiencies, but at the same time, a lot of the compute power is now going toward doing things like networking and storage and security offloads. So the good news, the reason this is important is because when you think about these data intensive workloads, we can now put more processing power to work for those, you know, AI intensive, uh, things. And so that's what I want to talk about a little bit, maybe a question for both of you, maybe Rob, you could start, you think about the AI that's done today in the enterprise. A lot of it is modeling in the cloud, but when we look at a lot of the exciting use cases, bringing real-time systems together, transaction systems and analytics systems and real time, AI inference, at least even at the edge, huge potential for business value and a consumer, you're seeing a lot of applications with AI biometrics and voice recognition and autonomous vehicles and the like, and so you're putting AI into these data intensive apps within the enterprise. >>The potential there is enormous. So what can we learn from sort of where we've come from, maybe these consumer examples and Rob, how are you thinking about enterprise AI in the coming years? >>Yeah, you're right. The opportunity is huge here, but you know, 90% of the cost of AI applications is the inference. And it's been a blocker in terms of adoption because it's just been too expensive and difficult from a performance standpoint and new platforms like these being developed by cloud air and Nvidia will dramatically lower the cost, uh, of enabling this type of workload to be done. Um, and what we're going to see the most improvements will be in the speed and accuracy for existing enterprise AI apps like fraud detection, recommendation, engine chain management, drug province, and increasingly the consumer led technologies will be bleeding into the enterprise in the form of autonomous factory operations. An example of that would be robots that AR VR and manufacturing. So driving quality, better quality in the power grid management, automated retail IOT, you know, the intelligent call centers, all of these will be powered by AI, but really the list of potential use cases now are going to be virtually endless. >>I mean, this is like your wheelhouse. Maybe you could add something to that. >>Yeah. I mean, I agree with Rob. I mean he listed some really good use cases. You know, the way we see this at Nvidia, this journey is in three phases or three steps, right? The first phase was for the early adopters. You know, the builders who assembled, uh, use cases, particular use cases like a chat bot, uh, uh, from the ground up with the hardware and the software almost like going to your local hardware store and buying piece parts and constructing a table yourself right now. I think we are in the first phase of the democratization, uh, for example, the work we did with Cloudera, which is, uh, for a broader base of customers, still building for a particular use case, but starting from a much higher baseline. So think about, for example, going to Ikea now and buying a table in a box, right. >>And you still come home and assemble it, but all the parts are there. The instructions are there, there's a recipe you just follow and it's easy to do, right? So that's sort of the phase we're in now. And then going forward, the opportunity we really look forward to for the democratization, you talked about applications like CRM, et cetera. I think the next wave of democratization is when customers just adopt and deploy the next version of an application they already have. And what's happening is that under the covers, the application is infused by AI and it's become more intelligent because of AI and the customer just thinks they went to the store and bought, bought a table and it showed up and somebody placed it in the right spot. Right. And they didn't really have to learn, uh, how to do AI. So these are the phases. And I think they're very excited to be going there. Yeah. You know, >>Rob, the great thing about for, for your customers is they don't have to build out the AI. They can, they can buy it. And, and just in thinking about this, it seems like there are a lot of really great and even sometimes narrow use cases. So I want to ask you, you know, staying with AI for a minute, one of the frustrations and Mick and I talked about this, the guy go problem that we've all studied in college, uh, you know, garbage in, garbage out. Uh, but, but the frustrations that users have had is really getting fast access to quality data that they can use to drive business results. So do you see, and how do you see AI maybe changing the game in that regard, Rob over the next several years? >>So yeah, the combination of massive amounts of data that have been gathered across the enterprise in the past 10 years with an open API APIs are dramatically lowering the processing costs that perform at much greater speed and efficiency, you know, and that's allowing us as an industry to democratize the data access while at the same time, delivering the federated governance and security models and hybrid technologies are playing a key role in making this a reality and enabling data access to be hybridized, meaning access and treated in a substantially similar way, your respect to the physical location of where that data actually resides. >>That's great. That is really the value layer that you guys are building out on top of that, all this great infrastructure that the hyperscalers have have given us, I mean, a hundred billion dollars a year that you can build value on top of, for your customers. Last question, and maybe Rob, you could, you can go first and then manufacture. You could bring us home. Where do you guys want to see the relationship go between cloud era and Nvidia? In other words, how should we, as outside observers be, be thinking about and measuring your project specifically and in the industry's progress generally? >>Yeah, I think we're very aligned on this and for cloud era, it's all about helping companies move forward, leverage every bit of their data and all the places that it may, uh, be hosted and partnering with our customers, working closely with our technology ecosystem of partners means innovation in every industry and that's inspiring for us. And that's what keeps us moving forward. >>Yeah. And I agree with Robin and for us at Nvidia, you know, we, this partnership started, uh, with data analytics, um, as you know, a spark is a very powerful technology for data analytics, uh, people who use spark rely on Cloudera for that. And the first thing we did together was to really accelerate spark in a seamless manner, but we're accelerating machine learning. We accelerating artificial intelligence together. And I think for Nvidia it's about democratization. We've seen what machine learning and AI have done for the early adopters and help them make their businesses, their products, their customer experience better. And we'd like every company to have the same opportunity. >>Okay. Now we're going to dig into the data landscape and cloud of course. And talk a little bit more about that with drew Allen. He's a managing director at Accenture drew. Welcome. Great to see you. Thank you. So let's talk a little bit about, you know, you've been in this game for a number of years. Uh, you've got particular expertise in, in data and finance and insurance. I mean, you know, you think about it within the data and analytics world, even our language is changing. You know, we don't say talk about big data so much anymore. We talk more about digital, you know, or, or, or data driven when you think about sort of where we've come from and where we're going. What are the puts and takes that you have with regard to what's going on in the business today? >>Well, thanks for having me. Um, you know, I think some of the trends we're seeing in terms of challenges and puts some takes are that a lot of companies are already on this digital journey. Um, they focused on customer experience is kind of table stakes. Everyone wants to focus on that and kind of digitizing their channels. But a lot of them are seeing that, you know, a lot of them don't even own their, their channels necessarily. So like we're working with a big cruise line, right. And yes, they've invested in digitizing what they own, but a lot of the channels that they sell through, they don't even own, right. It's the travel agencies or third party, real sellers. So having the data to know where, you know, where those agencies are, that that's something that they've discovered. And so there's a lot of big focus on not just digitizing, but also really understanding your customers and going across products because a lot of the data has built, been built up in individual channels and in digital products. >>And so bringing that data together is something that customers that have really figured out in the last few years is a big differentiator. And what we're seeing too, is that a big trend that the data rich are getting richer. So companies that have really invested in data, um, are having, uh, an outside market share and outside earnings per share and outside revenue growth. And it's really being a big differentiator. And I think for companies just getting started in this, the thing to think about is one of the missteps is to not try to capture all the data at once. The average company has, you know, 10,000, 20,000 data elements individually, when you want to start out, you know, 500, 300 critical data elements, about 5% of the data of a company drives 90% of the business value. So focusing on those key critical data elements is really what you need to govern first and really invest in first. And so that's something we, we tell companies at the beginning of their data strategy is first focus on those critical data elements, really get a handle on governing that data, organizing that data and building data products around >>That day. You can't boil the ocean. Right. And so, and I, I feel like pre pandemic, there was a lot of complacency. Oh yeah, we'll get to that. You know, not on my watch, I'll be retired before that, you know, is it becomes a minute. And then of course the pandemic was, I call it sometimes a forced March to digital. So in many respects, it wasn't planned. It just ha you know, you had to do it. And so now I feel like people are stepping back and saying, okay, let's now really rethink this and do it right. But is there, is there a sense of urgency, do you think? Absolutely. >>I think with COVID, you know, we were working with, um, a retailer where they had 12,000 stores across the U S and they had didn't have the insights where they could drill down and understand, you know, with the riots and with COVID was the store operational, you know, with the supply chain of the, having multiple distributors, what did they have in stock? So there are millions of data points that you need to drill down at the cell level, at the store level to really understand how's my business performing. And we like to think about it for like a CEO and his leadership team of it, like, think of it as a digital cockpit, right? You think about a pilot, they have a cockpit with all these dials and, um, dashboards, essentially understanding the performance of their business. And they should be able to drill down and understand for each individual, you know, unit of their work, how are they performing? That's really what we want to see for businesses. Can they get down to that individual performance to really understand how their business >>Is performing good, the ability to connect those dots and traverse those data points and not have to go in and come back out and go into a new system and come back out. And that's really been a lot of the frustration. W where does machine intelligence and AI fit in? Is that sort of a dot connector, if you will, and an enabler, I mean, we saw, you know, decades of the, the AI winter, and then, you know, there's been a lot of talk about it, but it feels like with the amount of data that we've collected over the last decade and the, the, the low costs of processing that data now, it feels like it's, it's real. Where do you see AI fitting? Yeah, >>I mean, I think there's been a lot of innovation in the last 10 years with, um, the low cost of storage and computing and these algorithms in non-linear, um, you know, knowledge graphs, and, um, um, a whole bunch of opportunities in cloud where what I think the, the big opportunity is, you know, you can apply AI in areas where a human just couldn't have the scale to do that alone. So back to the example of a cruise lines, you know, you may have a ship being built that has 4,000 cabins on the single cruise line, and it's going to multiple deaths that destinations over its 30 year life cycle. Each one of those cabins is being priced individually for each individual destination. It's physically impossible for a human to calculate the dynamic pricing across all those destinations. You need a machine to actually do that pricing. And so really what a machine is leveraging is all that data to really calculate and assist the human, essentially with all these opportunities where you wouldn't have a human being able to scale up to that amount of data >>Alone. You know, it's interesting. One of the things we talked to Nicolson about earlier was just the everybody's algorithms are out of whack. You know, you look at the airline pricing, you look at hotels it's as a consumer, you would be able to kind of game the system and predict that they can't even predict these days. And I feel as though that the data and AI are actually going to bring us back into some kind of normalcy and predictability, uh, what do you see in that regard? Yeah, I think it's, >>I mean, we're definitely not at a point where, when I talked to, you know, the top AI engineers and data scientists, we're not at a point where we have what they call broad AI, right? You can get machines to solve general knowledge problems, where they can solve one problem and then a distinctly different problem, right? That's still many years away, but narrow why AI, there's still tons of use cases out there that can really drive tons of business performance challenges, tons of accuracy challenges. So for example, in the insurance industry, commercial lines, where I work a lot of the time, the biggest leakage of loss experience in pricing for commercial insurers is, um, people will go in as an agent and they'll select an industry to say, you know what, I'm a restaurant business. Um, I'll select this industry code to quote out a policy, but there's, let's say, you know, 12 dozen permutations, you could be an outdoor restaurant. >>You could be a bar, you could be a caterer and all of that leads to different loss experience. So what this does is they built a machine learning algorithm. We've helped them do this, that actually at the time that they're putting in their name and address, it's crawling across the web and predicting in real time, you know, is this a address actually, you know, a business that's a restaurant with indoor dining, does it have a bar? Is it outdoor dining? And it's that that's able to accurately more price the policy and reduce the loss experience. So there's a lot of that you can do even with narrow AI that can really drive top line of business results. >>Yeah. I liked that term, narrow AI, because getting things done is important. Let's talk about cloud a little bit because people talk about cloud first public cloud first doesn't necessarily mean public cloud only, of course. So where do you see things like what's the right operating model, the right regime hybrid cloud. We talked earlier about hybrid data help us squint through the cloud landscape. Yeah. I mean, I think for most right, most >>Fortune 500 companies, they can't just snap their fingers and say, let's move all of our data centers to the cloud. They've got to move, you know, gradually. And it's usually a journey that's taking more than two to three plus years, even more than that in some cases. So they're have, they have to move their data, uh, incrementally to the cloud. And what that means is that, that they have to move to a hybrid perspective where some of their data is on premise and some of it is publicly on the cloud. And so that's the term hybrid cloud essentially. And so what they've had to think about is from an intelligence perspective, the privacy of that data, where is it being moved? Can they reduce the replication of that data? Because ultimately you like, uh, replicating the data from on-premise to the cloud that introduces, you know, errors and data quality issues. So thinking about how do you manage, uh, you know, uh on-premise and, um, public as a transition is something that Accenture thinks, thinks, and helps our clients do quite a bit. And how do you move them in a manner that's well-organized and well thought of? >>Yeah. So I've been a big proponent of sort of line of business lines of business becoming much more involved in, in the data pipeline, if you will, the data process, if you think about our major operational systems, they all have sort of line of business context in them. And then the salespeople, they know the CRM data and, you know, logistics folks there they're very much in tune with ERP, almost feel like for the past decade, the lines of business have been somewhat removed from the, the data team, if you will. And that, that seems to be changing. What are you seeing in terms of the line of line of business being much more involved in sort of end to end ownership, if you will, if I can use that term of, uh, of the data and sort of determining things like helping determine anyway, the data quality and things of that nature. Yeah. I >>Mean, I think this is where thinking about your data operating model and thinking about ideas of a chief data officer and having data on the CEO agenda, that's really important to get the lines of business, to really think about data sharing and reuse, and really getting them to, you know, kind of unlock the data because they do think about their data as a fiefdom data has value, but you've got to really get organizations in their silos to open it up and bring that data together because that's where the value is. You know, data doesn't operate. When you think about a customer, they don't operate in their journey across the business in silo channels. They don't think about, you know, I use only the web and then I use the call center, right? They think about that as just one experience and that data is a single journey. >>So we like to think about data as a product. You know, you should think about a data in the same way. You think about your products as, as products, you know, data as a product, you should have the idea of like every two weeks you have releases to it. You have an operational resiliency to it. So thinking about that, where you can have a very product mindset to delivering your data, I think is very important for the success. And that's where kind of, there's not just the things about critical data elements and having the right platform architecture, but there's a soft stuff as well, like a, a product mindset to data, having the right data, culture, and business adoption and having the right value set mindset for, for data, I think is really >>Important. I think data as a product is a very powerful concept and I think it maybe is uncomfortable to some people sometimes. And I think in the early days of big data, if you will, people thought, okay, data is a product going to sell my data and that's not necessarily what you mean, thinking about products or data that can fuel products that you can then monetize maybe as a product or as a, as, as a service. And I like to think about a new metric in the industry, which is how long does it take me to get from idea I'm a business person. I have an idea for a data product. How long does it take me to get from idea to monetization? And that's going to be something that ultimately as a business person, I'm going to use to determine the success of my data team and my data architecture. Is that kind of thinking starting to really hit the marketplace? Absolutely. >>I mean, I insurers now are working, partnering with, you know, auto manufacturers to monetize, um, driver usage data, you know, on telematics to see, you know, driver behavior on how, you know, how auto manufacturers are using that data. That's very important to insurers, you know, so how an auto manufacturer can monetize that data is very important and also an insurance, you know, cyber insurance, um, are there news new ways we can look at how companies are being attacked with viruses and malware. And is there a way we can somehow monetize that information? So companies that are able to agily, you know, think about how can we collect this data, bring it together, think about it as a product, and then potentially, you know, sell it as a service is something that, um, company, successful companies, you're doing great examples >>Of data products, and it might be revenue generating, or it might be in the case of, you know, cyber, maybe it reduces my expected loss and exactly. Then it drops right to my bottom line. What's the relationship between Accenture and cloud era? Do you, I presume you guys meet at the customer, but maybe you could give us some insight. >>Yeah. So, um, I, I'm in the executive sponsor for, um, the Accenture Cloudera partnership on the Accenture side. Uh, we do quite a lot of business together and, um, you know, Cloudera has been a great partner for us. Um, and they've got a great product in terms of the Cloudera data platform where, you know, what we do is as a big systems integrator for them, we help, um, you know, configure and we have a number of engineers across the world that come in and help in terms of, um, engineer architects and install, uh, cloud errors, data platform, and think about what are some of those, you know, value cases where you can really think about organizing data and bringing it together for all these different types of use cases. And really just as the examples we thought about. So the telematics, you know, um, in order to realize something like that, you're bringing in petabytes and huge scales of data that, you know, you just couldn't bring on a normal, uh, platform. You need to think about cloud. You need to think about speed of, of data and real-time insights and cloud era is the right data platform for that. So, um, >>Having a cloud Cloudera ushered in the modern big data era, we kind of all know that, and it was, which of course early on, it was very services intensive. You guys were right there helping people think through there weren't enough data scientists. We've sort of all, all been through that. And of course in your wheelhouse industries, you know, financial services and insurance, they were some of the early adopters, weren't they? Yeah, absolutely. >>Um, so, you know, an insurance, you've got huge amounts of data with loss history and, um, a lot with IOT. So in insurance, there's a whole thing of like sensorized thing in, uh, you know, taking the physical world and digitizing it. So, um, there's a big thing in insurance where, um, it's not just about, um, pricing out the risk of a loss experience, but actual reducing the loss before it even happens. So it's called risk control or loss control, you know, can we actually put sensors on oil pipelines or on elevators and, you know, reduce, um, you know, accidents before they happen. So we're, you know, working with an insurer to actually, um, listen to elevators as they move up and down and are there signals in just listening to the audio of an elevator over time that says, you know what, this elevator is going to need maintenance, you know, before a critical accident could happen. So there's huge applications, not just in structured data, but in unstructured data like voice and audio and video where a partner like Cloudera has a huge role to play. >>Great example of it. So again, narrow sort of use case for machine intelligence, but, but real value. True. We'll leave it like that. Thanks so much for taking some time. Yes. Thank you so much. Okay. We continue now with the theme of turning ideas into insights. So ultimately you can take action. We heard earlier that public cloud first doesn't mean public cloud only, and a winning strategy comprises data, irrespective of physical location on prem, across multiple clouds at the edge where real time inference is going to drive a lot of incremental value. Data is going to help the world come back to normal. We heard, or at least semi normal as we begin to better understand and forecast demand and supply and balances and economic forces. AI is becoming embedded into every aspect of our business, our people, our processes, and applications. And now we're going to get into some of the foundational principles that support the data and insights centric processes, which are fundamental to digital transformation initiatives. And it's my pleasure to welcome two great guests, Michelle Goetz. Who's a Kuba woman, VP and principal analyst at Forrester, and doing some groundbreaking work in this area. And Cindy, Mikey, who is the vice president of industry solutions and value management at Cloudera. Welcome to both of >>You. Welcome. Thank you. Thanks Dave. >>All right, Michelle, let's get into it. Maybe you could talk about your foundational core principles. You start with data. What are the important aspects of this first principle that are achievable today? >>It's really about democratization. If you can't make your data accessible, um, it's not usable. Nobody's able to understand what's happening in the business and they don't understand, um, what insights can be gained or what are the signals that are occurring that are going to help them with decisions, create stronger value or create deeper relationships, their customers, um, due to their experiences. So it really begins with how do you make data available and bring it to where the consumer of the data is rather than trying to hunt and Peck around within your ecosystem to find what it is that's important. Great. >>Thank you for that. So, Cindy, I wonder in hearing what Michelle just said, what are your thoughts on this? And when you work with customers at Cloudera, does, are there any that stand out that perhaps embody the fundamentals that Michelle just shared? >>Yeah, there's, there's quite a few. And especially as we look across, um, all the industries that we're actually working with customers in, you know, a few that stand out in top of mind for me is one is IQ via and what they're doing with real-world evidence and bringing together data across the entire, um, healthcare and life sciences ecosystems, bringing it together in different shapes and formats, making the ed accessible by both internally, as well as for their, um, the entire extended ecosystem. And then for SIA, who's working to solve some predictive maintenance issues within, there are a European car manufacturer and how do they make sure that they have, you know, efficient and effective processes when it comes to, uh, fixing equipment and so forth. And then also, um, there's, uh, an Indonesian based, um, uh, telecommunications company tech, the smell, um, who's bringing together, um, over the last five years, all their data about their customers and how do they enhance our customer experience? How do they make information accessible, especially in these pandemic and post pandemic times, um, uh, you know, just getting better insights into what customers need and when do they need it? >>Cindy platform is another core principle. How should we be thinking about data platforms in this day and age? I mean, where does, where do things like hybrid fit in? Um, what's cloud era's point >>Of view platforms are truly an enabler, um, and data needs to be accessible in many different fashions. Um, and also what's right for the business. When, you know, I want it in a cost and efficient and effective manner. So, you know, data needs to be, um, data resides everywhere. Data is developed and it's brought together. So you need to be able to balance both real time, you know, our batch historical information. It all depends upon what your analytical workloads are. Um, and what types of analytical methods you're going to use to drive those business insights. So putting and placing data, um, landing it, making it accessible, analyzing it needs to be done in any accessible platform, whether it be, you know, a public cloud doing it on-prem or a hybrid of the two is typically what we're seeing, being the most successful. >>Great. Thank you, Michelle. Let's move on a little bit and talk about practices and practices and processes as the next core principles. Maybe you could provide some insight as to how you think about balancing practices and processes while at the same time managing agility. >>Yeah, it's a really great question because it's pretty complex. When you have to start to connect your data to your business, the first thing to really gravitate towards is what are you trying to do? And what Cindy was describing with those customer examples is that they're all based off of business goals off of very specific use cases that helps kind of set the agenda about what is the data and what are the data domains that are important to really understanding and recognizing what's happening within that business activity and the way that you can affect that either in, you know, near time or real time, or later on, as you're doing your strategic planning, what that's balancing against is also being able to not only see how that business is evolving, but also be able to go back and say, well, can I also measure the outcomes from those processes and using data and using insight? >>Can I also get intelligence about the data to know that it's actually satisfying my objectives to influence my customers in my market? Or is there some sort of data drift or detraction in my, um, analytic capabilities that are allowing me to be effective in those environments, but everything else revolves around that and really thinking succinctly about a strategy that isn't just data aware, what data do I have and how do I use it, but coming in more from that business perspective to then start to be, data-driven recognizing that every activity you do from a business perspective leads to thinking about information that supports that and supports your decisions, and ultimately getting to the point of being insight driven, where you're able to both, uh, describe what you want your business to be with your data, using analytics, to then execute on that fluidly and in real time. And then ultimately bringing that back with linking to business outcomes and doing that in a continuous cycle where you can test and you can learn, you can improve, you can optimize, and you can innovate because you can see your business as it's happening. And you have the right signals and intelligence that allow you to make great decisions. >>I like how you said near time or real time, because it is a spectrum. And you know, one of the spectrum, autonomous vehicles, you've got to make a decision in real time, but, but, but near real-time, or real-time, it's, it's in the eyes of the holder, if you will, it's it might be before you lose the customer before the market changes. So it's really defined on a case by case basis. Um, I wonder Michelle, if you could talk about in working with a number of organizations, I see folks, they sometimes get twisted up and understanding the dependencies that technology generally, and the technologies around data specifically can have on critical business processes. Can you maybe give some guidance as to where customers should start, where, you know, where can we find some of the quick wins and high return, it >>Comes first down to how does your business operate? So you're going to take a look at the business processes and value stream itself. And if you can understand how people and customers, partners, and automation are driving that step by step approach to your business activities, to realize those business outcomes, it's way easier to start thinking about what is the information necessary to see that particular step in the process, and then take the next step of saying what information is necessary to make a decision at that current point in the process, or are you collecting information asking for information that is going to help satisfy a downstream process step or a downstream decision. So constantly making sure that you are mapping out your business processes and activities, aligning your data process to that helps you now rationalize. Do you need that real time near real time, or do you want to start grading greater consistency by bringing all of those signals together, um, in a centralized area to eventually oversee the entire operations and outcomes as they happen? It's the process and the decision points and acting on those decision points for the best outcome that really determines are you going to move in more of a real-time, uh, streaming capacity, or are you going to push back into more of a batch oriented approach? Because it depends on the amount of information and the aggregate of which provides the best insight from that. >>Got it. Let's, let's bring Cindy back into the conversation in your city. We often talk about people process and technology and the roles they play in creating a data strategy. That's that's logical and sound. Can you speak to the broader ecosystem and the importance of creating both internal and external partners within an organization? Yeah. >>And that's, uh, you know, kind of building upon what Michelle was talking about. If you think about datas and I hate to use the phrase almost, but you know, the fuel behind the process, um, and how do you actually become insight-driven? And, you know, you look at the capabilities that you're needing to enable from that business process, that insight process, um, you're extended ecosystem on, on how do I make that happen? You know, partners, um, and, and picking the right partner is important because a partner is one that actually helps under or helps you implement what your decisions are. Um, so, um, looking for a partner that has the capability that believes in being insight-driven and making sure that when you're leveraging data, um, you know, for within process on that, if you need to do it in a time fashion, that they can actually meet those needs of the business, um, and enabling on those, those process activities. So the ecosystem looking at how you, um, look at, you know, your vendors are, and fundamentally they need to be that trusted partner. Um, do they bring those same principles of value of being insight driven? So they have to have those core values themselves in order to help you as a, um, an end of business person enable those capabilities. So, so yeah, I'm >>Cool with fuel, but it's like super fuel when you talk about data, cause it's not scarce, right? You're never going to run out. So Michelle, let's talk about leadership. W w who leads, what does so-called leadership look like in an organization that's insight driven? >>So I think the really interesting thing that is starting to evolve as late is that organizations enterprises are really recognizing that not just that data is an asset and data has value, but exactly what we're talking about here, data really does drive what your business outcomes are going to be data driving into the insight or the raw data itself has the ability to set in motion. What's going to happen in your business processes and your customer experiences. And so, as you kind of think about that, you're now starting to see your CEO, your CMO, um, your CRO coming back and saying, I need better data. I need information. That's representative of what's happening in my business. I need to be better adaptive to what's going on with my customers. And ultimately that means I need to be smarter and have clearer forecasting into what's about ready to come, not just, you know, one month, two months, three months or a year from now, but in a week or tomorrow. >>And so that's, how is having a trickle down effect to then looking at two other types of roles that are elevating from technical capacity to more business capacity, you have your chief data officer that is shaping the exp the experiences, uh, with data and with insight and reconciling, what type of information is necessary with it within the context of answering these questions and creating a future fit organization that is adaptive and resilient to things that are happening. And you also have a chief digital officer who is participating because they're providing the experience and shaping the information and the way that you're going to interact and execute on those business activities, and either running that autonomously or as part of an assistance for your employees and for your customers. So really to go from not just data aware to data driven, but ultimately to be insight driven, you're seeing way more, um, participation, uh, and leadership at that C-suite level. And just underneath, because that's where the subject matter expertise is coming in to know how to create a data strategy that is tightly connected to your business strategy. >>Right. Thank you. Let's wrap. And I've got a question for both of you, maybe Cindy, you could start and then Michelle bring us home. You know, a lot of customers, they want to understand what's achievable. So it's helpful to paint a picture of a, of a maturity model. Uh, you know, I'd love to go there, but I'm not going to get there anytime soon, but I want to take some baby steps. So when you're performing an analysis on, on insight driven organization, city, what do you see as the major characteristics that define the differences between sort of the, the early, you know, beginners, the sort of fat middle, if you will, and then the more advanced, uh, constituents. >>Yeah, I'm going to build upon, you know, what Michelle was talking about as data as an asset. And I think, you know, also being data where, and, you know, trying to actually become, you know, insight driven, um, companies can also have data and they can have data as a liability. And so when you're data aware, sometimes data can still be a liability to your organization. If you're not making business decisions on the most recent and relevant data, um, you know, you're not going to be insight driven. So you've got to move beyond that, that data awareness, where you're looking at data just from an operational reporting, but data's fundamentally driving the decisions that you make. Um, as a business, you're using data in real time. You're, um, you're, you know, leveraging data to actually help you make and drive those decisions. So when we use the term you're, data-driven, you can't just use the term, you know, tongue in cheek. It actually means that I'm using the recent, the relevant and the accuracy of data to actually make the decisions for me, because we're all advancing upon. We're talking about, you know, artificial intelligence and so forth. Being able to do that, if you're just data where I would not be embracing on leveraging artificial intelligence, because that means I probably haven't embedded data into my processes. It's data could very well still be a liability in your organization. So how do you actually make it an asset? Yeah, I think data >>Where it's like cable ready. So, so Michelle, maybe you could, you could, you could, uh, add to what Cindy just said and maybe add as well, any advice that you have around creating and defining a data strategy. >>So every data strategy has a component of being data aware. This is like building the data museum. How do you capture everything that's available to you? How do you maintain that memory of your business? You know, bringing in data from your applications, your partners, third parties, wherever that information is available, you want to ensure that you're capturing and you're managing and you're maintaining it. And this is really where you're starting to think about the fact that it is an asset. It has value, but you may not necessarily know what that value is. Yet. If you move into a category of data driven, what starts to shift and change there is you're starting to classify label, organize the information in context of how you're making decisions and how you do business. It could start from being more, um, proficient from an analytic purpose. You also might start to introduce some early stages of data science in there. >>So you can do some predictions and some data mining to start to weed out some of those signals. And you might have some simple types of algorithms that you're deploying to do a next next best action for example. And that's what data-driven is really about. You're starting to get value out of it. The data itself is starting to make sense in context of your business, but what you haven't done quite yet, which is what insight driven businesses are, is really starting to take away. Um, the gap between when you see it, know it and then get the most value and really exploit what that insight is at the time when it's right. So in the moment we talk about this in terms of perishable insights, data and insights are ephemeral. And we want to ensure that the way that we're managing that and delivering on that data and insights is in time with our decisions and the highest value outcome we're going to have, that that insight can provide us. >>So are we just introducing it as data-driven organizations where we could see, you know, spreadsheets and PowerPoint presentations and lots of mapping to help make sort of longer strategic decisions, or are those insights coming up and being activated in an automated fashion within our business processes that are either assisting those human decisions at the point when they're needed, or an automated decisions for the types of digital experiences and capabilities that we're driving in our organization. So it's going from, I'm a data hoarder. If I'm data aware to I'm interested in what's happening as a data-driven organization and understanding my data. And then lastly being insight driven is really where light between business, data and insight. There is none it's all coming together for the best outcomes, >>Right? So people are acting on perfect or near perfect information or machines or, or, uh, doing so with a high degree of confidence, great advice and insights. And thank you both for sharing your thoughts with our audience today. It's great to have you. Thank you. Thank you. Okay. Now we're going to go into our industry. Deep dives. There are six industry breakouts, financial services, insurance, manufacturing, retail communications, and public sector. Now each breakout is going to cover two distinct use cases for a total of essentially 12 really detailed segments that each of these is going to be available on demand, but you can scan the calendar on the homepage and navigate to your breakout session for choice of choice or for more information, click on the agenda page and take a look to see which session is the best fit for you. And then dive in, join the chat and feel free to ask questions or contribute your knowledge, opinions, and data. Thanks so much for being part of the community and enjoy the rest of the day.

>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> Mobile World Congress is alive, theCUBE will be there and we'll certainly let you know if it's alive and well when we get on the ground. Now, as we approach a delayed mobile world congress, it's really appropriate to reflect in the state of the telecoms industry. Let's face it. Telcos have done of really good job of keeping us all connected during the pandemic, supporting work from home and that whole pivot, accommodating the rapid shift to landline traffic, securing the network and keeping it up and running but it doesn't change the underlying fundamental dilemma that Telco has faced. Telco is a slow growth, no growth industry, with revenue expectations in the low single digits. And at the same time network traffic continues to grow at 20% annually. And last year it grew at 40% to 50%. Despite these challenges, Telcos are still investing in the future. For example, the Telco industry collectively is selling out more than a trillion dollars in the first half of this decade on 5G and fiber infrastructure. And it's estimated that there are now more than 200 5G networks worldwide. But a lot of questions remain, not the least of which is, can and should Telcos go beyond connectivity and fiber. Can the Telcos actually monetize 5G or whatever's next beyond 5G? Or is that going to be left to the ecosystem? Now what about the ecosystem? How is that evolving? And very importantly, what role will the Cloud Hyperscalers play in Telco? Are they infrastructure on which the Telcos can build or are they going to suck the value out of the market as they have done in the enterprise? Hello everyone, and welcome to this week's Wiki Bond Cube Insights powered by ETR. In this breaking analysis, it's my pleasure to welcome a long time telecoms industry analyst and colleague, and the founding director of Lewis Insight, Mr. Chris Lewis. Chris, welcome to the program. Thanks for coming on >> Dave, it's a pleasure to be here. Thank you for having me. >> It is really our pleasure. So, we're going to cover a lot of ground today. And first thing, we're going to talk about Mobile World Congress. I've never been, you're an expert at that and what we can expect. And then we're going to review the current state of telecoms infrastructure, where it should go. We're going to dig into transformation. Is it a mandate? Is it aspirational? Can Telcos enter adjacent markets in ways they haven't been able to in the past? And then how about the ecosystem? We're going to talk about that, and then obviously we're going to talk about Cloud as I said, and we'll riff a little bit on the tech landscape. So Chris, let's get into it, Mobile World Congress, it's back on, what's Mobile World Congress typically like? What's your expectation this year for the vibe compared to previous events? >> Well Dave, the issue of Mobile World Congress is always that we go down there for a week into Barcelona. We stress ourselves building a matrix of meetings in 30 minutes slots and we return at the end of it trying to remember what we'd been told all the way through. The great thing is that with the last time we had a live, with around 110,000 people there, you could see anyone and everyone you needed to within the mobile, and increasingly the adjacent industry and ecosystem. So, he gave you that once a year, big download of everything new, obviously because it's the Mobile World Congress, a lot of it around devices, but increasingly over the last few years, we saw many, many stands with cars on them because the connected car became an issue, a lot more software oriented players there, but always the Telcos, always the people providing the network infrastructure. Increasingly in the last few years people provided the software and IT infrastructure, but all of these people contributing to what the network should be in the future, what needs to be connected. But of course the reach of the network has been growing. You mentioned during lockdown about connecting people in their homes, well, of course we've also been extending that connection to connect things whether it's in the home or the different devices, monitoring of doorbells and lights and all that sort of stuff. And in the industry environment, connecting all of the robots and sensors. So, actually the perimeter, the remit of the industry to connect has been expanding, and so is the sort of remit of Mobile World Congress. So, we set an awful lot of different suppliers coming in, trying to attach to this enormous market of roughly $1.5 trillion globally. >> Chris, what's the buzz in the industry in terms of who's going to show up. I know a lot of people have pulled out, I've got the Mobile World Congress app and I can see who's attending. And it looks like quite a few people are going to go but what's your expectation? >> Well, from an analyst point of view, obviously I'm mainly keeping up with my clients and trying to get new clients. I'm looking at it and going most of my clients are not attending in person. Now, of course, we need the DSMA, we need Mobile World Congress for future for the industry interaction. But of course, like many people having adopted and adapted to be online, then they're putting a lot of the keynotes online, a lot of the activities will be online. But of course many of the vendors have also produced their independent content and content to actually deliver to us as analysts. So, I'm not sure who will be there. I like you, but you'll be on the ground. You'll be able to report back and let us know exactly who turned up. But from my point of view, I've had so many pre-briefs already, the difference between this year and previous years, I used to get loads of pre-briefs and then have to go do the briefs as well. So this year I've got the pre-brief so I can sit back, put my feet up and wait for your report to come back as to what's happening on the ground. >> You got it. Okay, let's get into a little bit and talk about Telco infrastructure and the state, where it is today, where it's going, Chris, how would you describe the current state of Telco infrastructure? Where does it need to go? Like, what is the ideal future state look like for Telcos in your view? >> So there's always a bit of an identity crisis when it comes to Telco. I think going forward, the connectivity piece was seen as being table stakes, and then people thought where can we go beyond connectivity? And we'll come back to that later. But actually to the connectivity under the scenario I just described of people, buildings, things, and society, we've got to do a lot more work to make that connectivity extend, to be more reliable, to be more secure. So, the state of the network is that we have been building out infrastructure, which includes fiber to connect households and businesses. It includes that next move to cellular from 4G to 5G. It obviously includes Wi-Fi, wherever we've got that as well. And actually it's been a pretty good state, as you said in your opening comments they've done a pretty good job keeping us all connected during the pandemic, whether we're a fixed centric market like the UK with a lot of mobile on top and like the US, or in many markets in Africa and Asia, where we're very mobile centric. So, the fact is that every country market is different, so we should never make too many assumptions at a very top level, but building out that network, building out the services, focusing on that connectivity and making sure we get that cost of delivery right, because competition is pushing us towards having and not ever increasing prices, because we don't want to pay a lot extra every time. But the big issue for me is how do we bring together the IT and the network parts of this story to make sure that we build that efficiency in, and that brings in many questions that we going to touch upon now around Cloud and Hyperscalers around who plays in the ecosystem. >> Well, as you know, Telco is not my wheelhouse, but hanging around with you, I've learned, you've talked a lot about the infrastructure being fit for purpose. It's easy from an IT perspective. Oh yeah, it's fossilized, it's hardened, and it's not really flexible, but the flip side of that coin is as you're pointing out, it's super reliable. So, the big talk today is, "Okay, we're going to open up the network, open systems, and Open RAN, and open everything and microservices and containers. And so, the question is this, can you mimic that historical reliability in that open platform? >> Well, for me, this is the big trade-off and in my great Telco debate every year, I always try and put people against each other to try and to literally debate the future. And one of the things we looked at was is a more open network against this desire of the Telcos to actually have a smaller supplier roster. And of course, as a major corporation, these are on a national basis, very large companies, not large compared to the Hyperscalers for example, but they're large organizations, and they're trying to slim down their organization, slim down the supplier ecosystem. So actually in some ways, the more open it becomes, the more someone's got to manage and integrate all those pieces together. And that isn't something we want to do necessarily. So, I see a real tension there between giving more and more to the traditional suppliers. The Nokia's, Ericsson's, Huawei's, Amdocs and so on, the Ciscos. And then the people coming in breaking new ground like Mavenir and come in, and the sort of approach that Rakuten and Curve taken in bringing in more open and more malleable pieces of smaller software. So yeah, it's a real challenge. And I think as an industry which is notorious for being slow moving, actually we've begun to move relatively quickly, but not necessarily all the way through the organization. We've got plenty of stuff sitting on major or mainframes still in the back of the organization. But of course, as mobile has come in, we've started to deal much more closely, uninteractively in real time, God forbid, with the customers. So actually, at that front end, we've had to do things a lot more quickly. And that's where we're seeing the quickest adaptation to what you might see in your IT environment as being much more, continuous development, continuous improvement, and that sort of on demand delivery. >> Yeah, and we're going to get to that sort of in the Cloud space, but I want to now touch on Telco transformation which is sort of the main theme of this episode. And there's a lot of discussion on this topic, can Telcos move beyond connectivity and managing fiber? Is this a mandate? Is it a pipe dream that's just aspirational? Can they attack adjacencies to grow beyond the 1% a year? I mean, they haven't been successful historically. What are those adjacencies that might be, an opportunity and how will that ecosystem develop? >> Sure. >> So Chris, can and should Telcos try to move beyond core connectivity? Let's start there. >> I like what you did there by saying pipe dreams. Normally, pipe is a is a negative comment in the telecom world. But pipe dream gives it a real positive feel. So can they move beyond connectivity? Well, first of all, connectivity is growing in terms of the number of things being connected. So, in that sense, the market is growing. What we pay for that connectivity is not necessarily growing. So, therefore the mandate is absolutely to transform the inner workings and reduce the cost of delivery. So, that's the internal perspective. The external perspective is that we've tried in many Telcos around the world to break into those adjacent markets, being around media, being enterprise, being around IOT, and actually for the most part they've failed. And we've seen some very significant recent announcements from AT&T, Verizon, BT, beginning to move away from, owning content and not delivering content, but owning content. And the same as they've struggled often in the enterprise market to really get into that, because it's a well-established channel of delivery bringing all those ecosystem players in. So, actually rather than the old Telco view of we going to move into adjacent markets and control those markets, actually moving into them and enabling fellow ecosystem players to deliver the service is what I think we're beginning to see a lot more of now. And that's the big change, it's actually learning to play with the other people in the ecosystem. I always use a phrase that there's no room for egos in the ecosystem. And I think Telcos went in initially with an ego thinking we're really important, we are on connectivity. But actually now they're beginning to approach the ecosystem things saying, "How can we support partners? How can we support everyone in this ecosystem to deliver the services to consumers, businesses and whomever in this evolving ecosystem?" So, there are opportunities out there, plenty of them, but of course, like any opportunity, you've got to approach it in the right way. You've got to get the right investment in place. You've got to approach it with the right open API so everyone can integrate with your approach, and approach it, do I say with a little bit of humility to say, "Hey, we can bring this to the table, how do we work together? >> Well, it's an enormous market. I think you've shared with me, it's like 1.4 trillion. And I want to stay on these adjacencies for a minute, because one of the obvious things that Telcos will talk about is managed services. And I know we have to be careful of that term in an IT context, that it's different in a, you're talking about managing connectivity, but there's professional services. That's a logical sort of extension of their business and probably a safe adjacency, maybe not even adjacency, but they're not going to get into devices. I mean, they'll resell devices, but they're not going to be, I would presume not go back to trying to make devices, but there's certainly the edge and that's so, it'll define in opaque, but it's huge. If there's 5G, there's the IT component and that's probably a partnership opportunity. And as you pointed out, there's the ecosystem, but I wonder, how do you think about 5G as an adjacency or indoor opportunity? Is it a revenue opportunity for Telcos or is that just something that is really aspirational? >> Oh, absolutely it's a revenue opportunity, but I prefer to think of 5G as being a sort of a metaphor for the whole future of telecom. So, we usually talk, and MWC would normally talk about 5G just as a mobile solution. Of course, what you can get with, you can use this fixed wireless access approach, where the roots that sits in your house or your building. So, it's a potential replacement for some fixed lines. And of course, it's also, gives you the ability to build out, let's say in a manufacturing or a campus environment, a private 5G network. So, many of the early opportunities we're seeing with 5G are actually in that more private network environment addressing those very low latency, and high bandwidth requirements. So yeah, there are plenty of opportunities. Of course, the question here is, is connectivity enough, or especially with your comment around the edge, at the edge we need to manage connectivity, storage, compute, analytics, and of course the applications. So, that's a blend of players. It's not going to be in the hands of one player. So yes, plenty of opportunities but understanding what comes the other way from the customer base, where that's, you and I in our homes or outward as an about, or from a business point of view, an office or a campus environment, that's what should be driving, and not the technology itself. And I think this is the trap that the industry has fallen into many times, is we've got a great new wave of technology coming, how can we possibly deliver it to everybody rather than listening to what the customers really require and delivering it in a way consumable by all those different markets. >> Yeah now, of course all of these topics blend together. We try to keep them separately, but we're going to talk about Cloud, we're going to talk about competition, But one of the areas that we don't have a specific agenda item on is, is data and AI. And of course there's all this data flowing through the network, so presumably it's an opportunity for the Telcos. At the same time, they're not considered AI experts. They do when you talk about Edge, they would appear to have the latency advantage because of the last mile and their proximity, to various end points. But the Cloud is sort of building out as well. How do you think about data and AI as an opportunity for Telco? >> I think the whole data and AI piece for me sits on top of the cake or pie, whatever you want to call it. What we're doing with all this connectivity, what we're doing with all these moving parts and gathering information around it, and building automation into the delivery of the service, and using the analytics, whether you call it ML or AI, it doesn't really matter. But actually using that information to deliver a better service, a better outcome. Now, of course, Telcos have had much of this data for years and years, for decades, but they've never used it. So, I think what's happening is, the Cloud players are beginning to educate many of the Telcos around how valuable this stuff is. And that then brings in that question of how do we partner with people using open APIs to leverage that data. Now, do the Telcos keep hold of all that data? Do they let the Cloud players do all of it? No, it's going to be a combination depending on particular environments, and of course the people owning their devices also have a vested interest in this as well. So, you've always got to look at it end to end and where the data flows are, and where we can analyze it. But I agree that analysis on the device at the Edge, and perhaps less and less going back to the core, which is of course the original sort of mandate of the Cloud. >> Well, we certainly think that most of the Edge is going to be about AI inferencing, and then most of the data is going to stay at the edge. Some will come back for sure. And that is big opportunity for whether you're selling compute or conductivity, or maybe storage as well, but certainly insights at the Edge. >> Everything. >> Yeah. >> Everything, yeah. >> Let's get into the Cloud discussion and talk about the Hyperscalers, the big Hyperscaler elephant in the room. We're going to try to dig into what role the Cloud will play in the transformation of telecoms on Telecom TV at the great Telco debate. You likened the Hyperscalers, Chris, to Dementors from Harry Potter hovering over the industry. So, the question is, are the Cloud players going to suck the value out of the Telcos? Or are they more like Dobby the elf? They're powerful, there's sometimes friendly but they're unpredictable. >> Thank you for extending that analogy. Yes, it got a lot of reaction when I use that, but I think it indicates some of the direction of power shift where, we've got to remember here that Telcos are fundamentally national, and they're restricted by regulation, and the Cloud players are global, perhaps not as global as they'd like be, but some regional restrictions, but the global players, the Hyperscalers, they will use that power and they they will extend their reach, and they are extending their reach. If you think they now command some fantastic global networks, in some ways they've replaced some of the Telco international networks, all the submarine investments that tend to be done primarily for the Hyperscalers. So, they're building that out. So, as soon as you get onto their network, then you suddenly become part of that environment. And that is reducing some of the spend on the longer distances we might have got in the past approaches from the Telcos. Now, does that mean they're going to go all the way down and take over the Telcos? I don't believe so, because it's a fundamentally different business digging fiber in people's streets and delivering to the buildings, and putting antennas up. So, they will be a coexistence. And in fact, what we've already seen with Cloud and the Hyperscalers is that they're working much more close together than people might imagine. Now, you mentioned about data in the previous question, Google probably the best known of the of the AI and ML delivers from the Cloud side, working with many of the Telcos, even in some cases to actually have all the data outsourced into the Google Cloud for analytics purposes. They've got the power, the heavy lifting to do that. And so, we begin to see that, and obviously with shifting of workloads as appropriate within the Telco networking environment, we're seeing that with AWS, and of course with Azure as well. And Azure of course acquired a couple of companies in affirmed and Metro switch, which actually do some of the formal 5G core and the likes there within the connectivity environment. So, it's not clean cuts. And to go back to the analogy, those Dementors are swooping around and looking for opportunities, and we know that they will pick up opportunities, and they will extend their reach as far as they can down to that edge. But of course, the edge is where, as you rightly say, the Telcos have the control, they don't necessarily own the customer. I don't believe anyone owns the customer in this digital environment, because digital allows you to move your allegiance and your custom elsewhere anyway. So, but they do own that access piece, and that's what's important from a national point of view, from an economic point of view. And that's why we've seen some of the geopolitical activity banning Huawei from certain markets, encouraging more innovation through open ecosystem plays. And so, there is a tension there between the local Telco, the local market and the Hyperscaler market, but fundamentally they've got an absolute brilliant way of working together using the best of both worlds to deliver the services that we need as an economy. >> Well, and we've talked about this you and I in the past where the Telcos, portions of the Telco network could move into the Cloud. And there of course the Telcos all run the big data centers, and portions of that IT infrastructure could move into the Cloud. But it's very clear, they're not going to give up the entire family jewels to the Cloud players. Why would they? But there are portions of their IT that they could move into. Particularly, in the front end, they want to build like everybody. They want to build an abstraction layer. They're not going to move their core systems and their backend Oracle databases, they're going to put a brick wall around those, but they wanted abstraction layer, and they want to take advantage of microservices and use that data from those transaction systems. But the web front end stuff makes sense to put into Cloud. So, how do you think about that? >> I think you've hit the nail on the head. So you can't move those big backend systems straight away, gradually over time, you will, but you've got to go for those easy wins. And certainly in the research I've been doing with many of my clients, they're suggested that front end piece, making sure that you can onboard customers more easily, you can get the right mix of services. You can provide the omnichannel interaction from that customer experience that everybody talks about, for which the industry is not very well known at all by the way. So, any improvement on that is going to be good from an MPS point of view. So yeah, leveraging what we might, what we call BSS OSS in the telecom world, and actually putting that into the Cloud, leveraging both the Hyperscalers, but also by the way, many of the traditional players who people think haven't moved Cloud wards, but they are moving Cloud wards and they're embracing microservices and Cloud native. So, what you would have seen if we'd been in person down in Barcelona next week, would be a lot of the vendors who perhaps traditionally seems a bit slow moving, actually have done a lot of work to move their portfolio into the Cloud and into Cloud native environments. And yes, as you say, we can use that front end, we can use the API openness that's developed by people at the TM forum, to actually make sure we don't have to do the backend straight away, do it over time. Because of course the thing that we're not touching upon here, is the revenue stream is a consistent revenue stream. So, just because you don't need to change the backend to keep your revenue stream going, this is on a new, it keeps delivering every month, we keep paying our 50, 40, whatever bucks a month into the Telco pot. That's why it's such a big market, and people aren't going to stop doing that. So, I think the dynamics of the industry, we often spend a lot of time thinking about the inner workings of it and the potential of adjacent markets, whereas actually, we keep paying for this stuff, we keep pushing revenue into the pockets of all the Telcos. So, it's not a bad industry to be in, even if they were just pushed back to be in the access market, it's a great business. We need it more and more. The elasticity of demand is very inelastic, we need it. >> Yeah, it's the mother of old golden geese. We don't have a separate topic on security, and I want to touch on security here, is such an important topic. And it's top of mind obviously for everybody, Telcos, Hyperscalers, the Hyperscalers have this shared responsibility model, you know it well. A lot of times it's really confusing for customers. They don't realize it until there has been a problem. The Telcos are going to be very much tuned into this. How will all this openness, and we're going to talk about technology in a moment, but how will this transformation in your view, in the Cloud, with the shared responsibility model, how will that affect the whole security posture? >> Security is a great subject, and I do not specialize in it. I don't claim to be an expert by any stretch of the imagination, but I would say security for me is a bit like AI and analytics. It's everywhere. It's part of everything. And therefore you cannot think of it as a separate add on issue. So, every aspect, every element, every service you build into your micro services environment has to think about how do you secure that connection, that transaction, how do you secure the customer's data? Obviously, sovereignty plays a role in that as well in terms of where it sits, but at every level of every connection, every hop that we look through, every route to jump, we've got to see that security is built in. And in some ways, it's seen as being a separate part of the industry, but actually, as we collapse parts of the network down, we're talking about bringing optical and rooting together in many environments, security should be talked about in the same breath. So when I talked about Edge, when I talked about connectivity, storage, compute, analytics, I should've said security as well, because I absolutely believe that is fundamental to every chain in the link and let's face it, we've got a lot of links in the chain. >> Yeah, 100%. Okay, let's hit on technologies and competition, we kind of blend those together. What technology should we be paying attention to that are going to accelerate this transformation. We hear a lot about 5G, Open RAN. There's a lot of new tech coming in. What are you watching? Who are the players that we maybe should be paying attention to, some that you really like, that are well positioned? >> We've touched upon it in various of the questions that have proceeded this. So, the sort of Cloudification of the networking environment is obviously really important. The automation of the process we've got to move away from bureaucratic manual processes within these large organizations, because we've got to be more efficient, we've got to be more reliable. So, anything which is related to automation. And then the Open RAN question is really interesting. Once again, you raised this topic of when you go down an Open RAN routes or any open route, it ultimately requires more integration. You've got more moving parts from more suppliers. So, therefore there are potential security issues there, depending on how it's defined, but everybody is entering the Open RAN market. There are some names that you will see regularly next week, being pushed, I'm not going to push them anymore, because some of them just attract the oxygen of attention. But there are plenty out there. The good news is, the key vendors who come from the more traditional side are also absolutely embracing that and accept the openness. But I think the piece which probably excites me more, apart from the whole shift towards Cloud and microservices, is the coming together, the openness between the IT environment and the networking environment. And you see it, for example, in the Open RAN, this thing called the RIC, the RAN Interconnection Controller. We're actually, we're beginning to find people come from the IT side able to control elements within the wireless controller piece. Now that that starts to say to me, we're getting a real handle on it, anybody can manage it. So, more specialization is required, but understanding how the end to end flow works. What we will see of course is announcements about new devices, the big guys like Apple and Samsung do their own thing during the year, and don't interrupt their beat with it with MWC, but you'll see a lot of devices being pushed by many other providers, and you'll see many players trying to break into the different elements of the market. But I think mostly, you'll see the people approaching it from more and more Cloudified angle where things are much more leveraging, that Cloud capability and not relying on the sort of rigid and stodgy infrastructure that we've seen in the past >> Which is kind of interesting because Cloud, a lot of the Clouds are Walled Gardens, at the same time they host a lot of open technologies, and I think as these two worlds collide, IT and the Telco industry, it's going to be interesting to see how the Telco developer ecosystem evolves. And so, that's something that we definitely want to watch. You've got a comment there? >> Yeah, I think the Telco developer they've not traditionally been very big in that area at all, have they? They've had their traditional, if you go back to when you and I were kids, the plain old telephone service was a, they were a one trick pony, and they've moved onto that. In some ways, I'd like them to move on and to have the one trick of plain old broadband that we just get broadband delivered everywhere. So, there are some issues about delivering service to all parts of every country, and obviously the globe, whether we do that through satellite, we might see some interesting satellite stuff coming out during NWC. There's an awful lot of birds flying up there trying to deliver signal back to the ground. Traditionally, that's not been very well received, with the change in generation of satellite might help do that. But we've known traditionally that a lot of developer activity in there, what it does bring to the four though, Dave, is this issue of players like the Ciscos and Junipers, and all these guys of the world who bring a developer community to the table as well. This is where the ecosystem play comes in, because that's where you get the innovation in the application world, working with channels, working with individual applications. And so it's opening up, it's basically building a massive fabric that anybody can tap into, and that's what becomes so exciting. So, the barriers to entry come down, but I think it will see us settling down, a stabilization of relationship between the Telcos and the Hyperscalers, because they need each other as we talked about previously, then the major providers, the Ciscos, Nokias, Ericssons, Huawei's, the way they interact with the Telcos. And then allowing that level of innovation coming in from the smaller players, whether it's on a national or a global basis. So, it's actually a really exciting environment. >> So I want to continue that theme and just talk about Telco in the enterprise. And Chris, on this topic, I want to just touch on some things and bring in some survey data from ETR, Enterprise Technology Research, our partner. And of course the Telcos, they've got lots of data centers. And as we talked about, they're going to be moving certain portions into the Cloud, lots of the front end pieces in particular, but let's look at the momentum of some of the IT players within the ETR dataset, and look at how they compare to some of the Telcos that ETR captures specifically within the Telco industry. So, we filtered this data on the Telco industry. So, this is our X, Y graph that we show you oftentimes on the vertical axis, is net score which measures spending momentum, and in the horizontal axis is market share, which is a measure of pervasiveness in the dataset. Now, this data is for shared accounts just in the Telco sector. So we filtered on certain sectors, like within the technology sectors, Cloud, networking, and so it's narrow, it's a narrow slice of the 1500. It respondents, it represents about 133 shared accounts. And a couple of things to jump right out. Within the Telco industry, it's no surprise, but Azure and AWS have massive presence on the horizontal axis, but what's notable as they score very highly in the vertical axis, with elevated spending velocity on their platforms within Telco. Google Cloud doesn't have as much of a presence, but it's elevated as well. Chris was talking about their data posture before, Arista and Verizon, along with VMware are also elevated, as is Aruba, which is HPEs networking division, but they don't have the presence on the horizontal axis. And you got Red Hat OpenStack is actually quite prominent in Telco as we've reported in previous segments. Is no surprise You see Akamai there. Now remember, this survey is weighted toward enterprise IT, so you have to take that into consideration, but look at Cisco, very strong presence, nicely elevated as is Equinox, both higher than many of the others including Dell, but you could see Dell actually has pretty respectable spending in Telco. It's an area that they're starting to focus on more. And then you got that cluster below, your Juniper, AT&T, Oracle, the rest of HPE TELUM and Lumen which is formerly, century link via IBM. Now again, I'm going to caution you. This is an enterprise IT heavy survey, but the big takeaway is the Cloud players have a major presence inside of firms that say they're in the telecommunications industry. And certain IT players like Cisco, VMware and Red Hat appear to be well positioned inside these accounts. So Chris, I'm not sure if any of this commentary resonates with you, but it seems that the Telcos would love to partner up with traditional IT vendors and Cloud players, and maybe find ways to grow their respective businesses. >> I think some of the data points you brought out there are very important. So yes, we've seen a Microsoft Azure and AWS very strong working with Telcos. We've seen Google Cloud platform actually really aggressively pushed into the market certainly the last 12, 24 months. So yeah, they're well positioned, and they all come from a slightly different background. As I said, the Google with this, perhaps more data centric approach in its analytics, tools very useful, AWS with this outpost reaching out, connecting out, and as you'll, with its knowledge of the the Microsoft business market certainly pushing into private networks as well, by the way. So yeah, and Cisco, of course in there does have, and it's a mass scale division, a lot of activity there, some of the people collapsing, some of that rooting an obstacle together, their big push on Silicon. So, what you've got here is a sort of cross representation of many of the different sorts of suppliers who are active in this market. Now Telcos is a big spenders, the telecom market, as we said, a $1.4 trillion market, they spend a lot, they probably have to double bubble spend at the moment to get over the hump of 5G investment, to build out fiber where they need to build out. So, any anything that relates to that is of course a major spending opportunity, a major market opportunity for players. And we know when you need the infrastructure behind it, whether it's in data centers or in their own data centers or in the Cloud to deliver against it. So, what I do like about this as an analyst, a lot of people would focus on one particular piece of the market. So you specialize on handsets, people specialize on home markets and home gateways. So, I tend to sit back and try and look at the big picture, the whole picture. And I think we're beginning to see some very good momentum where people are, where companies are building upon, of course their core business within the telecom industry, extending it out. But the lines of demarcation are blurring between enterprise, Telco, and indeed moving down into small business. And you think about the SD-WAN Market, which came from nowhere to build a much more flexible solution for connecting people over the wide area network, which has been brilliant during the pandemic, because it's allowed us to extend that to home, but be of course, build a campus ready for the future as well. So there are plenty of opportunities out there. I think the big question in my mind is always about from going into the Telco, as I said, whether they wannna reduce the number of suppliers on the roster. So that puts a question mark against some of the open approaches, and then from the Telco to the end customer, because it goes to the Telcos, 30% of their revenue comes from the enterprise market, 60% from the consumer market. How do they leverage the channel? Which includes all the channels, we talked about security, all of the IT stuff that you've already touched upon and the Cloud. It's going to be a very interesting mix and balancing act between different channels to get the services that the customers want. And I think increasingly, customers are more aware of the opportunities open to them to reach back into this ecosystem and say, "Yeah, I want a piece of humans to Telco, but I want it to come to me through my local integrated channel, because I need a bit of their expertise on security." So, fascinating market, and I think not telecom's no longer considered in isolation, but very much as part of that broader digital ecosystem. >> Chris, it's very hard to compress an analysis of a $1.4 trillion business into 30 or 35 minutes, but you're just the guy to help me do it. So, I got to really thank you for participating today and bringing your knowledge. Awesome. >> Do you know, it's my pleasure. I love looking at this market. Obviously I love analogies like Harry Potter, which makes it bring things to life. But at the end of the day, we as people, we want to be connected, we as business, we want to be connected, in society we want to be connected. So, the fundamental of this industry are unbelievably strong. Let's hope that governments don't mess with it too much. And let's hope that we get the right technology comes through, and help support that world of connectivity going forward. >> All right, Chris, well, I'll be texting you from Mobile World Congress in Barcelona, and many thanks to my colleague, Chris Lewis, he brought some serious knowledge today and thank you. And remember, I publish each week on wikibond.com and siliconangle.com. And these episodes are all available as podcasts. You just got to search for Breaking Analysis podcasts. You can always connect with me on twitter @dvellante or email me at dave.vellante@siliconangle.com. And you can comment on my LinkedIn post, and don't forget to check out etr.plus for all the survey data. This is Dave Vellante, for theCUBE Insights powered by ETR. Be well, and we'll see you next time. (upbeat music)

>>Okay. Okay. Now we're gonna go into the Green Lake Power Panel. Talk about the cloud landscape hybrid cloud and how the partner ecosystem and customers are thinking about cloud hybrid cloud as a service and, of course, Green Lake. And with me or CR Houdyshell, president of Advise X. Ron Nemecek, Who's the business Alliance manager at C B. T s. Harry Zaric is president of competition, and Benjamin Clay is VP of sales and alliances at Arrow Electronics. Great to see you guys. Thanks so much for coming on the Cube. >>Thanks for having us >>would be here. >>Okay, here's the deal. So I'm gonna ask you guys each to introduce yourselves and your company's add a little color to my brief intro and then answer the following question. How do you and your customers think about hybrid cloud and think about it in the context of where we are today and where we're going? Not just the snapshot, but where we are today and where we're going. CR, why don't you start, please? >>Sure. Thanks a lot. They appreciate it. And, uh, again cr Howdy Shell President of advising. I've been with the company for 18 years the last four years as president. So had the great great opportunity here to lead a 45 year old company with a very strong brand and great culture. Uh, as it relates to advise X and where we're headed to with hybrid Cloud is it's a journey, so we're excited to be leading that journey for the company as well as HP. We're very excited about where HP is going with Green Lake. We believe it's it's a very strong solution when it comes to hybrid. Cloud have been an HP partner since since 1980. So for 40 years it's our longest standing OM relationship, and we're really excited about where HP is going with Green Lake from a hybrid cloud perspective. Uh, we feel like we've been doing the hybrid cloud solutions in the past few years with everything that we've focused on from a VM Ware perspective. But now, with where HP is going, we think really changing the game and it really comes down to giving customers at cloud experience with the on Prem solution with Green Lake, and we've had great response from our customers and we think we're gonna continue to see how that kind of increased activity and reception. >>Great. Thank you. Cr and yeah, I totally agree. It is. It is a journey. And we've seen it really come a long way in the last decade. Ron, I wonder if you could kick off your little first intro there, please? >>Sure. Dave, thanks for having me today. And it's a pleasure being here with all of you. My name is Ron Nemecek, business Alliance manager at C B. T. S. In my role, I am responsible for RHP Green Lake relationship globally. I've enjoyed a 33 year career in the I T industry. I'm thankful for the opportunity to serve in multiple functional and senior leadership roles that have helped me gather a great deal of education and experience that could be used to aid our customers with their evolving needs for business outcomes. The best position them for sustainable and long term success. I'm honored to be part of the C B. T s and Annex Canada Organization, C B T s stands for consult Bill transform and support. We have a 35 year relationship with HP or a platinum and inner circle partner. We're headquartered in Cincinnati Ohio. We service 3000 customers, generating over a billion dollars in revenue, and we have over 2000 associates across the globe. Our focus is partnering with our customers to deliver innovative solutions and business results through thought leadership. We drive this innovation VR team of the best and brightest technology professionals in the industry that have secured over 2800 technical certifications 260 specifically with HP and in our hybrid cloud business. We have clearly found the technology new market demands for instant responses and experiences evolving economic considerations with detailed financial evaluation and, of course, the global pandemic have challenged each of our customers across all industries to develop an optimal cloud strategy we have. We now play an enhanced strategic role for our customers as there Technology Advisor and their guide to the right mix of cloud experiences that will maximize their organizational success with predictable outcomes. Our conversations have really moved from product roadmaps and speeds and feeds to return on investment, return on capital and financial statements, ratios and metrics. We collaborate regularly with our customers at all levels and all departments to find an effective, comprehensive cloud strategy for their workloads and applications, ensuring proper alignment and costs with financial return. >>Great. Thank you, Ron. Yeah, Today it's all about the business value. Harry, please, >>I Dave. Thanks for the opportunity and greetings from the Great White North, where Canadian based company headquartered in Toronto, with offices across the country. We've been in the tech industry for a very long time. What we would call a solution provider hard for my mother to understand what that means. But our goal is to help our customers realize the business value of their technology investments just to give you an example of what it is we try and do. We just finished a build out of a new networking and point in data center technology for a brand new hospital is now being mobilized for covid high risk patients. So talk about are all being an essential industry, providing essential services across the whole spectrum of technology. Now, in terms of what's happening in the marketplace, our customers are confused. No question about it. They hear about cloud and cloud first, and everyone goes to the cloud. But the reality is there's lots of technology, lots of applications that actually still have to run on premises for a whole bunch of reasons. And what customers want is solid senior serious advice as to how they leverage what they already have in terms of their existing infrastructure but modernized and updated So it looks and feels a lot like a cloud. But they have the security. They have the protection that they need to have for reasons that are dependent on their industry and business to allow them to run on from. And so the Green Lake philosophy is perfect. That allows customers to actually have 1 ft in the cloud, 1 ft in their traditional data center, but modernize it so it actually looks like one enterprise entity. And it's that kind of flexibility that gives us an opportunity collectively, ourselves, our partners, HP to really demonstrate that we understand how to optimize the use of technology across all of the business applications they need to rest >>your hair. It's interesting about what you said is is cloud is it is kind of chaotic. My word not yours, but but there is a lot of confusion out there. I mean, it's what's cloud right? Is it Public Cloud is a private cloud the hybrid cloud. Now, now it's the edge. And of course, the answer is all of the above. Ben, what's your perspective on all this? >>Um, from a cloud perspective. You know, I think as an industry, you know, I think we we've all accepted that public cloud is not necessarily gonna win the day and were, in fact, in a hybrid world, there's certainly been some some commentary impress. Um, you know, that would sort of validate that. Not that necessarily needs any validation. But I think it's the linkages between on Prem, Um, and cloud based services have increased. Its paved the way for customers to more effectively deploy hybrid solutions in the model that they want that they desired. You know, Harry was commenting on that a moment ago. Um, you know, as the trend continues, it becomes much easier for solution providers and service providers to drive there services, initiatives, uh, you know, in particular managed services. So, you know, from from an arrow perspective, as we think about how we can help scale in particular from Greenland perspective, we've got the ability to stand up some some cloud capabilities through our aero secure platform. um that can really help customers adopt Green Lake. Uh, and, uh, benefit to benefit from, um, some alliances, opportunities as well. And I'll talk more about that as we go through >>that. I didn't mean to squeeze you on a narrow. I mean, you got arrows. Been around longer than computers. I mean, if you google the history of arrow, it'll blow your mind. But give us a little, uh, quick commercial. >>Yeah, absolutely. So, um, I've been with arrow for about 20 years. I've got responsibility for alliances, organization, North America for Global value, added distribution, business consulting and channel enablement Company. Uh, you know, we bring scope, scale and and, uh, expertise as it relates to the I t industry. Um, you know, I love the fast paced, the fast paced that comes with the market, that we're all all in, and I love helping customers and suppliers both, you know, be positioned for long term success. And, you know, the subject matter here today is just a great example of that. So I'm happy to be here and or to the discussion. >>All right, We got some good brain power in the room. Let's let's cut right to the chase. Ron, Where's the pain? What are the main problems that C B. T s. I love the what it stands for. Consult Bill Transform and support the What's the main pain point that that customers are asking you to solve when it comes to their cloud strategies. >>Third day of our customers' concerns and associated risk come from the market demands to deliver their products, services and experiences instantaneously. And then the challenges is how do they meet those demands because they have aging infrastructure processes and fiscal constraints. Our customers really need us now more than ever to be excellent listeners so we can collaborate on an effective map for the strategic placement of workloads and applications in that spectrum of cloud experiences, while managing their costs and, of course, mitigating risk to their business. This collaboration with our customer customers often identify significant costs that have to be evaluated, justified or eliminated. We find significant development, migration and egress charges in their current public cloud experience, coupled with significant over provisioning, maintenance, operational and stranded asset costs in their on premise infrastructure environment. When we look at all these costs holistically through our customized workshops and assessments. We can identify the optimal cloud experience for the respective workloads and applications through our partnership with HP and the availability of the HP Green Lake Solutions. Our customers now have a choice to deliver SLA's economics and business outcomes for their workloads and applications that best reside on premise in a private cloud and have that experience. This is a rock solid solution that eliminates, you know, the development costs at the experience and the egress charges that are associated with the public cloud while utilizing HP Green Lake to eliminate over provisioning costs and the maintenance costs on aging infrastructure hardware. Lastly, our customers only have to pay for actual infrastructure usage with no upfront capital expense. And now that achieves true utilization to cost economics. You know, with HP Green Lake solution from C B. T s. >>I love to focus on the business case because it's measurable. That sort of follow the money. That's where it's where the opportunity is. Okay, See, I got a question for you thinking about advise X customers. How are they? Are they leaning into Green Lake? You know, what are they telling you? Is the business impact when they when they experience Green Lake, >>I think it goes back to what Ron was talking about. We have to solve the business challenges first, and so far the reception's been positive. When I say that is, customers are open, everybody wants to. The C suite wants to hear about cloud and hybrid cloud fits, but what we're hearing, what we're seeing from our customers is we're seeing more adoption from customers that it may be their first put in, if you will. But as importantly, we're able to share other customers with our potentially new clients that that say, What's the first thing that happens with regard to Green like Well, number one, it works. It works as advertised and as a as a service. That's a big step. There are a lot of people out there dabbling today, but when you can say we have a proven solution, it's working in in in our environment today. That's key. I think the second thing is is flexibility. You know, when customers are looking for this, this hybrid solution, you've got to be flexible for again. I think Ron said it well, you don't have a big capital outlay but also what customers want to be able to. We're gonna build for growth, but we don't want to pay for it, so we'll pay as we grow. Not as not as we have to use because we used to do It was upfront of the capital expenditure, and I will just pay as we grow and that really facilitates. In another great examples, you'll hear from a customer, uh, this afternoon, but you'll hear where one of the biggest benefits they just acquired a $570 million company, and their integration is going to be very seamless because of their investment in Green Lake. They're looking at the flexibility to add the Green Lake as a big opportunity to integrate for acquisitions and finally is really we see it really brings the cloud experience and as a service to our customers bring. And with HP Green Lake, it brings best to breathe. So it's not just what HP has to offer. When you look at hyper converged, they have Nutanix kohi city, so I really believe it brings best to breathe. So, uh to net it out and close it out with our customers thus far, the customer experience has been exceptional with Green Lake Central has interface. Customers have had a lot of success. We just had our first customer from about a year and a half ago, just re up, and it was a highly competitive situation. But they just said, Look, it's proven it works and it gives us that cloud experience So I had a lot of great success thus far, looking forward to more. >>Thank you. So, Harry, I want to pick up on something, CR said, And get your perspectives. So when you when I talk to the C suite, they do all want to hear about, you know, Cloud, they have a cloud agenda and and what they tell me is it's not just about their I t transformation. They want, they want that. But they also want to transform their business. So I wonder if you could talk Harry about competence, perspective on the potential business impact of Green Lake, and and also, you know, I'm interested in how you guys are thinking about workloads, how to manage work, you know how to cost optimize in i t. But also the business value that comes out of that capability. >>Yes. So, Dave, you know, if you were to talk to CFO and I have the good fortune to talk to lots of CFOs, they want to pay the cost. When they generate the revenue, they don't want to have all the cost up front and then wait for the revenue to come through. A good example of where that's happening right now is related to the pandemic. Employees that used to work at the office have now moved to working from home, and now they have to. They have to connect remotely to run the same application. So use this thing called VD virtual interfacing to allow them to connect to the applications that they need to run in the off. Don't want to get into too much detail. But to be able to support that from an at home environment, they needed to buy a lot more computing capacity to handle this. Now there's an expectation that hopefully six months from now, maybe sooner than that people will start returning to the office. They may not need that capacity so they can turn down on the cost. And so the idea of having the capacity available when you need it, But then turning it off when you don't need it is really a benefit of a variable cost model. Another example that I would use is one in new development if a customer is going to implement and you, let's say, line of business application essay P is very, very popular, you know, it actually, unfortunately takes six months to two years to actually get that application setup installed, validated, test it and then moves through production. You know what used to happen before they would buy all that capacity at front and basically sit there for two years? And then when they finally went to full production, then they were really getting value out of that investment. But they actually lost a couple of years of technology, literally sitting almost idle. And so, from a CFO perspective, his ability to support the development of those applications as he scales it perfect Green Lake is the ideal solution that allows them to do that. >>You know, technology has saved businesses in this pandemic. There's no question about it and what Harry was just talking about with regard to VD. You think about that. There's the dialing up and dialing down piece, which is awesome from an i t perspective and then the business impact. There is the productivity of Of of the end users, and most C suite executives I've talked to said Productivity actually went up during covid with work from home, which is kind of astounding if you think about it. Ben, you know Ben, I We said Arrow has been around for a long, long time, certainly before all of us were born and it's gone through many, many industry transitions during our lifetimes. How does arrow and how do How do your partners think about building cloud experience experiences? And where does Green Lake fit in from your perspective? >>A great question. So from a narrow perspective, when you think about cloud experience and, of course, us taking a view as a distribution partner, we want to be able to provide scale and efficiency to our network of partners. So we do that through our aero screw platform. Um, just just a bit of a you know, a bit of a commercial. I mean, you get single quote single bill auto provision compared multi supplier, if you will Subscription management utilization reporting from the platform itself. So if we pivot that directly to HP, you're going to get a bit of a scoop here, Dave. So we're excited today to have Green Lake live in our platform available for our part of community to consume in particular the swift solutions that HP has announced. So we're very excited to to share that today, Um, maybe a little bit more on Green Lake. I think at this point in time, there it's differentiated, Um, in a sense that if you think about some of the other offerings in the market today and further with, um uh, having the solutions himself available in a row sphere So, you know, I would say, Do we identify the uniqueness, um, and quickly partner with HP to to work with our atmosphere platform? One other sort of unique thing is, you know, when you think about platform itself, you've got to give a consistent experience the different geographies around the world. So, you know, we're available in north of 20 countries. There's thousands of resellers and transacting on the platform on a regular basis, and frankly, hundreds of thousands and customers are leveraging today, so that creates an opportunity for both Arrow HP and our partner community. So we're excited. >>Uh, you know, I just want to open it up and we don't have much time left, but thoughts on on on differentiation. You know, when people ask me Okay, what's really different about H P E and Green Lake? As others you know are doing things that with with as a service to me, it's a I I always say cultural. It starts from the top with Antonio, and it's like the company's all in. But But I wonder from your perspective because you guys are hands on. Are there other differential factors that you would point to let me just open that up to the group? >>Yeah, if I could make a comment. You know, Green Lake is really just the latest invocation of the as a service model. And what does that mean? What that actually means is you have a continuous ongoing relationship with the customer. It's not a cell. And forget not that we ever forget about customers, but there are highlights. Customer buys, it gets installed, and then for two or three years, you may have an occasional engagement with them. But it's not continuous. When you move to a Green Lake model, you're actually helping them manage that you are in the core in the heart of their business. No better place to be if you want to be sticky and you want to be relevant, and you want to be always there for them. >>You know, I wonder if somebody else could add to and and and in your in your remarks from your perspective as a partner because, you know, Hey, a lot of people made a lot of money selling boxes, but those days are pretty much gone. I mean, you have to transform into a services mindset. But other thoughts, >>I think I think Dad did that day. I think Harry's right on right. What he the way he positioned Exactly. You get on the customer. Even another step back for us is we're able to have the business conversation without leading with what you just said. You don't have to leave with a storage solution to leave with a compute. You can really have step back, have a business conversation, and we've done that where you don't even bring up hp Green Lake until you get to the point of the customer says, So you can give me an on prem cloud solution that gives me scalability, flexibility, all the things you're talking about. How does that work then? Then you bring up. It's all through this HP Green link tool. It really gives you the ability to have a business conversation. And you're solving the business problems versus trying to have a technology conversation. And to me, that's clear differentiation for HP. Green length. >>All right, guys. CR Ron. Harry. Ben. Great discussion. Thank you so much for coming on the program. Really appreciate it. >>Thanks for having us, Dave. >>All >>right. Keep it right there for more great content at Green Lake Day. Right back? Yeah.