>>The cube presents Ignite 22, brought to you by Palo Alto Networks. >>Good morning. Live from the MGM Grand. It's the cube at Palo Alto Networks Ignite 2022. Lisa Martin here with Dave Valante, day two, Dave of our coverage, or last live day of the year, which I can't believe, lots of good news coming out from Palo Alto Networks. We're gonna sit down with its Chief product officer next and dissect all of that. >>Yeah. You know, oftentimes in, in events like this, day two is product day. And look, it's all about products and sales. Yeah, I mean those, that's the, the, the golden rule. Get the product right, get the sales right, and everything else will take care of itself. So let's talk product. >>Yeah, let's talk product. Lee Claridge joins us, the Chief Product Officer at Palo Alto Networks. Welcome Lee. Great to have >>You. Thank you so much. >>So we didn't get to see your keynote yesterday, but we heard one of the things, you know, we've been talking about the threat landscape, the challenges. We had Unit 42, Wendy on yesterday. We had Nash on and near talking about the massive challenges in the threat landscape. But we understand, despite that you are optimistic. I am. Talk about your optimism given the massive challenges that every organization is facing today. >>Look, cybersecurity's hard and often in cybersecurity in the industry, a lot of people get sort of really focused on what the threat actors are doing, why they're successful. We investigate breaches and we think of it, it just starts to feel somewhat overwhelming for a lot of folks. And I just happen to think a little bit differently. I, I look at it and I think it's actually a solvable problem. >>Talk about cyber resilience. How does Palo Alto Networks define that and how does it help customers achieve that? Cuz that's the, that's the holy grail these days. >>Yes. Look, the, the way I think about cyber resilience is basically in two pieces. One, it's all about how do we prevent the threat actors from actually being successful in the first place. Second, we also have to be prepared for what happens if they happen to find a way to get through, and how do we make sure that that happens? The blast radius is, is as narrowly contained as possible. And so the, the way that we approach this is, you know, I, I kind of think in terms of like threes three core principles. Number one, we have to have amazing technology and we have to constantly be, keep keeping up with and ideally ahead of what attackers are doing. It's a big part of my job as the chief product officer, right? Second is we, you know, one of the, the big transformations that's happened is the advent of, of AI and the opportunity, as long as we can do it, a great job of collecting great data, we can drive AI and machine learning models that can start to be used for our advantage as defenders, and then further use that to drive automation. >>So we take the human out of the response as much as possible. What that allows us to do is actually to start using AI and automation to disrupt attackers as it's happening. The third piece then becomes natively integrating these capabilities into a platform. And when we do that, what allows us to do is to make sure that we are consistently delivering cybersecurity everywhere that it needs to happen. That we don't have gaps. Yeah. So great tech AI and automation deliver natively integrated through platforms. This is how we achieve cyber resilience. >>So I like the positivity. In fact, Steven Schmidt, who's now the CSO of, of Amazon, you know, Steven, and it was the CSO at AWS at the time, the first reinforced, he stood up on stage and said, listen, this narrative that's all gloom and doom is not the right approach. We actually are doing a good job and we have the capability. So I was like, yeah, you know, okay. I'm, I'm down with that. Now when I, my question is around the, the portfolio. I, I was looking at, you know, some of your alternatives and options and the website. I mean, you got network security, cloud security, you got sassy, you got capp, you got endpoint, pretty much everything. You got cider security, which you just recently acquired for, you know, this whole shift left stuff, you know, nothing in there on identity yet. That's good. You partner for that, but, so could you describe sort of how you think about the portfolio from a product standpoint? How you continue to evolve it and what's the direction? Yes. >>So the, the, the cybersecurity industry has long had this, I'm gonna call it a major flaw. And the major flaw of the cybersecurity industry has been that every time there is a problem to be solved, there's another 10 or 20 startups that get funded to solve that problem. And so pretty soon what you have is you're, if you're a customer of this is you have 50, a hundred, the, the record is over 400 different cybersecurity products that as a customer you're trying to operationalize. >>It's not a good record to have. >>No, it's not a good record. No. This is, this is the opposite of Yes. Not a good personal best. So the, so the reason I start there in answering your question is the, the way that, so that's one end of the extreme, the other end of the extreme view to say, is there such a thing as a single platform that does everything? No, there's not. That would be nice. That was, that sounds nice. But the reality is that cybersecurity has to be much broader than any one single thing can do. And so the, the way that we approach this is, is three fundamental areas that, that we, Palo Alto Networks are going to be the best at. One is network security within network security. This includes hardware, NextGen, firewalls, software NextGen, firewalls, sassy, all the different security services that tie into that. All of that makes up our network security platforms. >>So everything to do with network security is integrated in that one place. Second is around cloud security. The shift to the cloud is happening is very real. That's where Prisma Cloud takes center stage. C a P is the industry acronym. If if five letters thrown together can be called an acronym. The, so cloud native application protection platform, right? So this is where we bring all of the different cloud security capabilities integrated together, delivered through one platform. And then security, security operations is the third for us. This is Cortex. And this is where we bring together endpoint security, edr, ndr, attack, surface management automation, all of this. And what we had, what we announced earlier this year is x Im, which is a Cortex product for actually integrating all of that together into one SOC transformation platform. So those are the three platforms, and that's how we deliver much, much, much greater levels of native integration of capabilities, but in a logical way where we're not trying to overdo it. >>And cider will fit into two or three >>Into Prisma cloud into the second cloud to two. Yeah. As part of the shift left strategy of how we secure makes sense applications in the cloud >>When you're in customer conversations. You mentioned the record of 400 different product. That's crazy. Nash was saying yesterday between 30 and 50 and we talked with him and near about what's realistic in terms of getting organizations to, to be able to consolidate. I'd love to understand what does cybersecurity transformation look like for the average organization that's running 30 to 50 point >>Solutions? Yeah, look, 30 to 50 is probably, maybe normal. A hundred is not unusual. Obviously 400 is the extreme example. But all of those are, those numbers are too big right now. I think, I think realistic is high. Single digits, low double digits is probably somewhat realistic for most organizations, the most complex organizations that might go a bit above that if we're really doing a good job. That's, that's what I think. Now second, I do really want to point out on, on the product guy. So, so maybe this is just my way of thinking, consolidation is an outcome of having more tightly and natively integrated capabilities. Got you. And the reason I flip that around is if I just went to you and say, Hey, would you like to consolidate? That just means maybe fewer vendors that that helps the procurement person. Yes. You know, have to negotiate with fewer companies. Yeah. Integration is actually a technology statement. It's delivering better outcomes because we've designed multiple capabilities to work together natively ourselves as the developers so that the customer doesn't have to figure out how to do it. It just happens that by, by doing that, the customer gets all this wonderful technical benefit. And then there's this outcome sitting there called, you've just consolidated your complexity. How >>Specialized is the customer? I think a data pipelines, and I think I have a data engineer, have a data scientists, a data analyst, but hyper specialized roles. If, if, let's say I have, you know, 30 or 40, and one of 'em is an SD wan, you know, security product. Yeah. I'm best of breed an SD wan. Okay, great. Palo Alto comes in as you, you pointed out, I'm gonna help you with your procurement side. Are there hyper specialized individuals that are aligned to that? And how that's kind of part A and B, how, assuming that's the case, how does that integration, you know, carry through to the business case? So >>Obviously there are specializations, this is the, and, and cybersecurity is really important. And so there, this is why there had, there's this tendency in the past to head toward, well I have this problem, so who's the best at solving this one problem? And if you only had one problem to solve, you would go find the specialist. The, the, the, the challenge becomes, well, what do you have a hundred problems to solve? I is the right answer, a hundred specialized solutions for your a hundred problems. And what what I think is missing in this approach is, is understanding that almost every problem that needs to be solved is interconnected with other problems to be solved. It's that interconnectedness of the problems where all of a sudden, so, so you mentioned SD wan. Okay, great. I have Estee wan, I need it. Well what are you connecting SD WAN to? >>Well, ideally our view is you would connect SD WAN and branch to the cloud. Well, would you run in the cloud? Well, in our case, we can take our SD wan, connect it to Prisma access, which is our cloud security solution, and we can natively integrate those two things together such that when you use 'em together, way easier. Right? All of a sudden we took what seemed like two separate problems. We said, no, actually these problems are related and we can deliver a solution where those, those things are actually brought together. And that's just one simple example, but you could, you could extend that across a lot of these other areas. And so that's the difference. And that's how the, the, the mindset shift that is happening. And, and I I was gonna say needs to happen, but it's starting to happen. I'm talking to customers where they're telling me this as opposed to me telling them. >>So when you walk around the floor here, there's a visual, it's called a day in the life of a fuel member. And basically what it has, it's got like, I dunno, six or seven different roles or personas, you know, one is management, one is a network engineer, one's a coder, and it gives you an X and an O. And it says, okay, put the X on things that you spend your time doing, put the o on things that you wanna spend your time doing a across all different sort of activities that a SecOps pro would do. There's Xs and O's in every one of 'em. You know, to your point, there's so much overlap going on. This was really difficult to discern, you know, any kind of consistent pattern because it, it, it, unlike the hyper specialization and data pipelines that I just described, it, it's, it's not, it, it, there's way more overlap between those, those specialization roles. >>And there's a, there's a second challenge that, that I've observed and that we are, we've, we've been trying to solve this and now I'd say we've become, started to become a lot more purposeful in, in, in trying to solve this, which is, I believe cybersecurity, in order for cyber security vendors to become partners, we actually have to start to become more opinionated. We actually have to start, guys >>Are pretty opinionated. >>Well, yes, but, but the industry large. So yes, we're opinionated. We build these products, but that have, that have our, I'll call our opinions built into it, and then we, we sell the, the product and then, and then what happens? Customer says, great, thank you for the product. I'm going to deploy it however I want to, which is fine. Obviously it's their choice at the end of the day, but we actually should start to exert an opinion to say, well, here's what we would recommend, here's why we would recommend that. Here's how we envisioned it providing the most value to you. And actually starting to build that into the products themselves so that they start to guide the customer toward these outcomes as opposed to just saying, here's a product, good luck. >>What's, what's the customer lifecycle, not lifecycle, but really kind of that, that collaboration, like it's one thing to, to have products that you're saying that have opinions to be able to inform customers how to deploy, how to use, but where is their feedback in this cycle of product development? >>Oh, look, my, this, this is, this is my life. I'm, this is, this is why I'm here. This is like, you know, all day long I'm meeting with customers and, and I share what we're doing. But, but it's, it's a, it's a 50 50, I'm half the time I'm listening as well to understand what they're trying to do, what they're trying to accomplish, and how, what they need us to do better in order to help them solve the problem. So the, the, and, and so my entire organization is oriented around not just telling customers, here's what we did, but listening and understanding and bringing that feedback in and constantly making the products better. That's, that's the, the main way in which we do this. Now there's a second way, which is we also allow our products to be customized. You know, I can say, here's our best practices, we see it, but then allowing our customer to, to customize that and tailor it to their environment, because there are going to be uniquenesses for different customers in parti, we need more complex environments. Explain >>Why fire firewalls won't go away >>From your perspective. Oh, Nikesh actually did a great job of explaining this yesterday, and although he gave me credit for it, so this is like a, a circular kind of reference here. But if you think about the firewalls slightly more abstract, and you basically say a NextGen firewalls job is to inspect every connection in order to make sure the connection should be allowed. And then if it is allowed to make sure that it's secure, >>Which that is the definition of an NextGen firewall, by the way, exactly what I just said. Now what you noticed is, I didn't describe it as a hardware device, right? It can be delivered in hardware because there are environments where you need super high throughput, low latency, guess what? Hardware is the best way of delivering that functionality. There's other use cases cloud where you can't, you, you can't ship hardware to a cloud provider and say, can you install this hardware in front of my cloud? No, no, no. You deployed in a software. So you take that same functionality, you instantly in a software, then you have other use cases, branch offices, remote workforce, et cetera, where you say, actually, I just want it delivered from the cloud. This is what sassy is. So when I, when I look at and say, the firewall's not going away, what, what, what I see is the functionality needed is not only not going away, it's actually expanding. But how we deliver it is going to be across these three form factors. And then the customer's going to decide how they need to intermix these form factors for their environment. >>We put forth this notion of super cloud a while about a year ago. And the idea being you're gonna leverage the hyperscale infrastructure and you're gonna build a, a, you're gonna solve a common problem across clouds and even on-prem, super cloud above the cloud. Not Superman, but super as in Latin. But it turned into this sort of, you know, superlative, which is fun. But the, my, my question to you is, is, is, is Palo Alto essentially building a common cross-cloud on-prem, presumably out to the edge consistent experience that we would call a super cloud? >>Yeah, I don't know that we've ever used the term surfer cloud to describe it. Oh, you don't have to, but yeah. But yes, based on how you describe it, absolutely. And it has three main benefits that I describe to customers all the time. The first is the end user experience. So imagine your employee, and you might work from the office, you might work from home, you might work while from, from traveling and hotels and conferences. And, and by the way, in one day you might actually work from all of those places. So, so the first part is the end user experience becomes way better when it doesn't matter where they're working from. They always get the same experience, huge benefit from productivity perspective, no second benefit security operations. You think about the, the people who are actually administering these policies and analyzing the security events. >>Imagine how much better it is for them when it's all common and consistent across everywhere that has to happen. Cloud, on-prem branch, remote workforce, et cetera. So there's a operational benefit that is super valuable. Third, security benefit. Imagine if in this, this platform-based approach, if we come out with some new amazing innovation that is able to detect and block, you know, new types of attacks, guess what, we can deliver that across hardware, software, and sassi uniformly and keep it all up to date. So from a security perspective, way better than trying to figure out, okay, there's some new technology, you know, does my hardware provider have that technology or not? Does my soft provider? So it's bringing that in to one place. >>From a developer perspective, is there a, a, a PAs layer, forgive me super PAs, that a allows the developers to have a common experience across irrespective of physical location with the explicit purpose of serving the objective of your platform. >>So normally when I think of the context of developers, I'm thinking of the context of, of the people who are building the applications that are being deployed. And those applications may be deployed in a data center, increasing the data centers, depending private clouds might be deployed into, into public cloud. It might even be hybrid in nature. And so if you think about what the developer wants, the developer actually wants to not have to think about security, quite frankly. Yeah. They want to think about how do I develop the functionality I need as quickly as possible with the highest quality >>Possible, but they are being forced to think about it more and more. Well, but anyway, I didn't mean to >>Interrupt you. No, it's a, it is a good, it's a, it's, it's a great point. The >>Well we're trying to do is we're trying to enable our security capabilities to work in a way that actually enables what the developer wants that actually allows them to develop faster that actually allows them to focus on the things they want to focus. And, and the way we do that is by actually surfacing the security information that they need to know in the tools that they use as opposed to trying to bring them to our tools. So you think about this, so our customer is a security customer. Yet in the application development lifecycle, the developer is often the user. So we, we we're selling, we're so providing a solution to security and then we're enabling them to surface it in the developer tools. And by, by doing this, we actually make life easier for the developers such that they're not actually thinking about security so much as they're just saying, oh, I pulled down the wrong open source package, it's outdated, it has vulnerabilities. I was notified the second I did it, and I was told which one I should pull down. So I pulled down the right one. Now, if you're a developer, do you think that's security getting your way? Not at all. No. If you're a developer, you're thinking, thank god, thank you, thank, thank you. Yeah. You told me at a point where it was easy as opposed to waiting a week or two and then telling me where it's gonna be really hard to fix it. Yeah. Nothing >>More than, so maybe be talking to Terraform or some other hash corp, you know, environment. I got it. Okay. >>Absolutely. >>We're 30 seconds. We're almost out of time. Sure. But I'd love to get your snapshot. Here we are at the end of calendar 2022. What are you, we know you're optimistic in this threat landscape, which we're gonna see obviously more dynamics next year. What kind of nuggets can you drop about what we might hear and see in 23? >>You're gonna see across everything. We do a lot more focus on the use of AI and machine learning to drive automated outcomes for our customers. And you're gonna see us across everything we do. And that's going to be the big transformation. It'll be a multi-year transformation, but you're gonna see significant progress in the next 12 months. All >>Right, well >>What will be the sign of that progress? If I had to make a prediction, which >>I'm better security with less effort. >>Okay, great. I feel like that's, we can measure that. I >>Feel, I feel like that's a mic drop moment. Lee, it's been great having you on the program. Thank you for walking us through such great detail. What's going on in the organization, what you're doing for customers, where you're meeting, how you're meeting the developers, where they are. We'll have to have you back. There's just, just too much to unpack. Thank you both so much. Actually, our pleasure for Lee Cler and Dave Valante. I'm Lisa Martin. You're watching The Cube Live from Palo Alto Networks Ignite 22, the Cube, the leader in live, emerging and enterprise tech coverage.

>> From theCUBE Studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR, This is "Breaking Analysis with Dave Vellante". >> Black Hat 22 was held in Las Vegas last week, the same time as theCUBE Supercloud event. Unlike AWS re:Inforce where words are carefully chosen to put a positive spin on security, Black Hat exposes all the warts of cyber and openly discusses its hard truths. It's a conference that's attended by technical experts who proudly share some of the vulnerabilities they've discovered, and, of course, by numerous vendors marketing their products and services. Hello, and welcome to this week's Wikibon CUBE Insights powered by ETR. In this "Breaking Analysis", we summarize what we learned from discussions with several people who attended Black Hat and our analysis from reviewing dozens of keynotes, articles, sessions, and data from a recent Black Hat Attendees Survey conducted by Black Hat and Informa, and we'll end with the discussion of what it all means for the challenges around securing the supercloud. Now, I personally did not attend, but as I said at the top, we reviewed a lot of content from the event which is renowned for its hundreds of sessions, breakouts, and strong technical content that is, as they say, unvarnished. Chris Krebs, the former director of Us cybersecurity and infrastructure security agency, CISA, he gave the keynote, and he spoke about the increasing complexity of tech stacks and the ripple effects that that has on organizational risk. Risk was a big theme at the event. Where re:Inforce tends to emphasize, again, the positive state of cybersecurity, it could be said that Black Hat, as the name implies, focuses on the other end of the spectrum. Risk, as a major theme of the event at the show, got a lot of attention. Now, there was a lot of talk, as always, about the expanded threat service, you hear that at any event that's focused on cybersecurity, and tons of emphasis on supply chain risk as a relatively new threat that's come to the CISO's minds. Now, there was also plenty of discussion about hybrid work and how remote work has dramatically increased business risk. According to data from in Intel 471's Mark Arena, the previously mentioned Black Hat Attendee Survey showed that compromise credentials posed the number one source of risk followed by infrastructure vulnerabilities and supply chain risks, so a couple of surveys here that we're citing, and we'll come back to that in a moment. At an MIT cybersecurity conference earlier last decade, theCUBE had a hypothetical conversation with former Boston Globe war correspondent, Charles Sennott, about the future of war and the role of cyber. We had similar discussions with Dr. Robert Gates on theCUBE at a ServiceNow event in 2016. At Black Hat, these discussions went well beyond the theoretical with actual data from the war in Ukraine. It's clear that modern wars are and will be supported by cyber, but the takeaways are that they will be highly situational, targeted, and unpredictable because in combat scenarios, anything can happen. People aren't necessarily at their keyboards. Now, the role of AI was certainly discussed as it is at every conference, and particularly cyber conferences. You know, it was somewhat dissed as over hyped, not surprisingly, but while AI is not a panacea to cyber exposure, automation and machine intelligence can definitely augment, what appear to be and have been stressed out, security teams can do this by recommending actions and taking other helpful types of data and presenting it in a curated form that can streamline the job of the SecOps team. Now, most cyber defenses are still going to be based on tried and true monitoring and telemetry data and log analysis and curating known signatures and analyzing consolidated data, but increasingly, AI will help with the unknowns, i.e. zero-day threats and threat actor behaviors after infiltration. Now, finally, while much lip service was given to collaboration and public-private partnerships, especially after Stuxsnet was revealed early last decade, the real truth is that threat intelligence in the private sector is still evolving. In particular, the industry, mid decade, really tried to commercially exploit proprietary intelligence and, you know, do private things like private reporting and monetize that, but attitudes toward collaboration are trending in a positive direction was one of the sort of outcomes that we heard at Black Hat. Public-private partnerships are being both mandated by government, and there seems to be a willingness to work together to fight an increasingly capable adversary. These things are definitely on the rise. Now, without this type of collaboration, securing the supercloud is going to become much more challenging and confined to narrow solutions. and we're going to talk about that little later in the segment. Okay, let's look at some of the attendees survey data from Black Hat. Just under 200 really serious security pros took the survey, so not enough to slice and dice by hair color, eye color, height, weight, and favorite movie genre, but enough to extract high level takeaways. You know, these strongly agree or disagree survey responses can sometimes give vanilla outputs, but let's look for the ones where very few respondents strongly agree or disagree with a statement or those that overwhelmingly strongly agree or somewhat agree. So it's clear from this that the respondents believe the following, one, your credentials are out there and available to criminals. Very few people thought that that was, you know, unavoidable. Second, remote work is here to stay, and third, nobody was willing to really jinx their firms and say that they strongly disagree that they'll have to respond to a major cybersecurity incident within the next 12 months. Now, as we've reported extensively, COVID has permanently changed the cybersecurity landscape and the CISO's priorities and playbook. Check out this data that queries respondents on the pandemic's impact on cybersecurity, new requirements to secure remote workers, more cloud, more threats from remote systems and remote users, and a shift away from perimeter defenses that are no longer as effective, e.g. firewall appliances. Note, however, the fifth response that's down there highlighted in green. It shows a meaningful drop in the percentage of remote workers that are disregarding corporate security policy, still too many, but 10 percentage points down from 2021 survey. Now, as we've said many times, bad user behavior will trump good security technology virtually every time. Consistent with the commentary from Mark Arena's Intel 471 threat report, fishing for credentials is the number one concern cited in the Black Hat Attendees Survey. This is a people and process problem more than a technology issue. Yes, using multifactor authentication, changing passwords, you know, using unique passwords, using password managers, et cetera, they're all great things, but if it's too hard for users to implement these things, they won't do it, they'll remain exposed, and their organizations will remain exposed. Number two in the graphic, sophisticated attacks that could expose vulnerabilities in the security infrastructure, again, consistent with the Intel 471 data, and three, supply chain risks, again, consistent with Mark Arena's commentary. Ask most CISOs their number one problem, and they'll tell you, "It's a lack of talent." That'll be on the top of their list. So it's no surprise that 63% of survey respondents believe they don't have the security staff necessary to defend against cyber threats. This speaks to the rise of managed security service providers that we've talked about previously on "Breaking Analysis". We've seen estimates that less than 50% of organizations in the US have a SOC, and we see those firms as ripe for MSSP support as well as larger firms augmenting staff with managed service providers. Now, after re:Invent, we put forth this conceptual model that discussed how the cloud was becoming the first line of defense for CISOs, and DevOps was being asked to do more, things like securing the runtime, the containers, the platform, et cetera, and audit was kind of that last line of defense. So a couple things we picked up from Black Hat which are consistent with this shift and some that are somewhat new, first, is getting visibility across the expanded threat surface was a big theme at Black Hat. This makes it even harder to identify risk, of course, this being the expanded threat surface. It's one thing to know that there's a vulnerability somewhere. It's another thing to determine the severity of the risk, but understanding how easy or difficult it is to exploit that vulnerability and how to prioritize action around that. Vulnerability is increasingly complex for CISOs as the security landscape gets complexified. So what's happening is the SOC, if there even is one at the organization, is becoming federated. No longer can there be one ivory tower that's the magic god room of data and threat detection and analysis. Rather, the SOC is becoming distributed following the data, and as we just mentioned, the SOC is being augmented by the cloud provider and the managed service providers, the MSSPs. So there's a lot of critical security data that is decentralized and this will necessitate a new cyber data model where data can be synchronized and shared across a federation of SOCs, if you will, or mini SOCs or SOC capabilities that live in and/or embedded in an organization's ecosystem. Now, to this point about cloud being the first line of defense, let's turn to a story from ETR that came out of our colleague Eric Bradley's insight in a one-on-one he did with a senior IR person at a manufacturing firm. In a piece that ETR published called "Saved by Zscaler", check out this comment. Quote, "As the last layer, we are filtering all the outgoing internet traffic through Zscaler. And when an attacker is already on your network, and they're trying to communicate with the outside to exchange encryption keys, Zscaler is already blocking the traffic. It happened to us. It happened and we were saved by Zscaler." So that's pretty cool. So not only is the cloud the first line of defense, as we sort of depicted in that previous graphic, here's an example where it's also the last line of defense. Now, let's end on what this all means to securing the supercloud. At our Supercloud 22 event last week in our Palo Alto CUBE Studios, we had a session on this topic on supercloud, securing the supercloud. Security, in our view, is going to be one of the most important and difficult challenges for the idea of supercloud to become real. We reviewed in last week's "Breaking Analysis" a detailed discussion with Snowflake co-founder and president of products, Benoit Dageville, how his company approaches security in their data cloud, what we call a superdata cloud. Snowflake doesn't use the term supercloud. They use the term datacloud, but what if you don't have the focus, the engineering depth, and the bank roll that Snowflake has? Does that mean superclouds will only be developed by those companies with deep pockets and enormous resources? Well, that's certainly possible, but on the securing the supercloud panel, we had three technical experts, Gee Rittenhouse of Skyhigh Security, Piyush Sharrma who's the founder of Accurics who sold to Tenable, and Tony Kueh, who's the former Head of Product at VMware. Now, John Furrier asked each of them, "What is missing? What's it going to take to secure the supercloud? What has to happen?" Here's what they said. Play the clip. >> This is the final question. We have one minute left. I wish we had more time. This is a great panel. We'll bring you guys back for sure after the event. What one thing needs to happen to unify or get through the other side of this fragmentation and then the challenges for supercloud? Because remember, the enterprise equation is solve complexity with more complexity. Well, that's not what the market wants. They want simplicity. They want SaaS. They want ease of use. They want infrastructure risk code. What has to happen? What do you think, each of you? >> So I can start, and extending to the previous conversation, I think we need a consortium. We need a framework that defines that if you really want to operate on supercloud, these are the 10 things that you must follow. It doesn't matter whether you take AWS, Slash, or TCP or you have all, and you will have the on-prem also, which means that it has to follow a pattern, and that pattern is what is required for supercloud, in my opinion. Otherwise, security is going everywhere. They're like they have to fix everything, find everything, and so on and so forth. It's not going to be possible. So they need a framework. They need a consortium, and this consortium needs to be, I think, needs to led by the cloud providers because they're the ones who have these foundational infrastructure elements, and the security vendor should contribute on providing more severe detections or severe findings. So that's, in my opinion, should be the model. >> Great, well, thank you, Gee. >> Yeah, I would think it's more along the lines of a business model. We've seen in cloud that the scale matters, and once you're big, you get bigger. We haven't seen that coalesce around either a vendor, a business model, or whatnot to bring all of this and connect it all together yet. So that value proposition in the industry, I think, is missing, but there's elements of it already available. >> I think there needs to be a mindset. If you look, again, history repeating itself. The internet sort of came together around set of IETF, RSC standards. Everybody embraced and extended it, right? But still, there was, at least, a baseline, and I think at that time, the largest and most innovative vendors understood that they couldn't do it by themselves, right? And so I think what we need is a mindset where these big guys, like Google, let's take an example. They're not going to win at all, but they can have a substantial share. So how do they collaborate with the ecosystem around a set of standards so that they can bring their differentiation and then embrace everybody together. >> Okay, so Gee's point about a business model is, you know, business model being missing, it's broadly true, but perhaps Snowflake serves as a business model where they've just gone out and and done it, setting or trying to set a de facto standard by which data can be shared and monetized. They're certainly setting that standard and mandating that standard within the Snowflake ecosystem with its proprietary framework. You know, perhaps that is one answer, but Tony lays out a scenario where there's a collaboration mindset around a set of standards with an ecosystem. You know, intriguing is this idea of a consortium or a framework that Piyush was talking about, and that speaks to the collaboration or lack thereof that we spoke of earlier, and his and Tony's proposal that the cloud providers should lead with the security vendor ecosystem playing a supporting role is pretty compelling, but can you see AWS and Azure and Google in a kumbaya moment getting together to make that happen? It seems unlikely, but maybe a better partnership between the US government and big tech could be a starting point. Okay, that's it for today. I want to thank the many people who attended Black Hat, reported on it, wrote about it, gave talks, did videos, and some that spoke to me that had attended the event, Becky Bracken, who is the EIC at Dark Reading. They do a phenomenal job and the entire team at Dark Reading, the news desk there, Mark Arena, whom I mentioned, Garrett O'Hara, Nash Borges, Kelly Jackson, sorry, Kelly Jackson Higgins, Roya Gordon, Robert Lipovsky, Chris Krebs, and many others, thanks for the great, great commentary and the content that you put out there, and thanks to Alex Myerson, who's on production, and Alex manages the podcasts for us. Ken Schiffman is also in our Marlborough studio as well, outside of Boston. Kristen Martin and Cheryl Knight, they help get the word out on social media and in our newsletters, and Rob Hoff is our Editor-in-Chief at SiliconANGLE and does some great editing and helps with the titles of "Breaking Analysis" quite often. Remember these episodes, they're all available as podcasts, wherever you listen, just search for "Breaking Analysis Podcasts". I publish each on wikibon.com and siliconangle.com, and you could email me, get in touch with me at david.vellante@siliconangle.com or you can DM me @dvellante or comment on my LinkedIn posts, and please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, and we'll see you next time on "Breaking Analysis". (upbeat music)

(upbeat music) >> Hey, guys and girls, welcome back to New York City. Lisa Martin and John Furrier are live with theCUBE at AWS Summit 22, here in The Big Apple. We're excited to be talking about security next. James Arlen joins us, the CISO at Aiven. James, thanks so much for joining us on theCUBE today. >> Absolutely, it's good to be here. >> Tell the audience a little bit about Aiven, what you guys do, what you deliver, and what some of those differentiators are. >> Oh, Aiven. Aiven is a fantastic organization. I'm actually really lucky to work there. It's a database as a service, managed databases, all open source. And we're capital S, serious about open source. So 10 different open source database products delivered as a platform, all managed services, and the game is really about being the most performant, secure, and compliant database as a service on the market, friction free for your developers. You don't need people worrying about how to run databases. You just want to be able to say, here, take care of my data for me. And that's what we do. And that's actually the differentiator. We just take care of it for you. >> Take care of it for you, I like that. >> So they download the open source. They could do it on their own. So all the different projects are out there. >> Yeah, absolutely. >> What do you guys bringing to the table? You said the managed service, can you explain that. >> Yeah, the managed service aspect of it is, really, you could install the software yourself. You can use Postgres or Apache Kafka or any one of the products that we support. Absolutely you can do it yourself. But is that really what you do for a living, or do you develop software, or do you sell a product? So we take and do the hard work of running the systems, running the equipment. We take care of backups, high availability, all the security and compliance things around access and certifications, all of those things that are logging, all of that stuff that's actually difficult to do, well and consistently, that's all we do. >> Talk about the momentum, I see you guys were founded in what? 2016? >> Yes. >> Just in May of '22, raised $210 million in series D funding. >> Yes. >> Talk about the momentum and also from your perspective, all of the massive changes in security. >> It's very interesting to work for a company where you're building more than 100% growth year over year. It's a powers of two thing. Going from one to two, not so scary, two to four, not so scary. 512 to 1024, it's getting scary. (Lisa chuckles) 1024 to 2048, oh crap! I've been with Aiven for just almost two years now, and we are less than 70 when I started, and we're near 500 now. So, explosive growth is very interesting, but it's also that, you're growing within a reasonable burn rate boundary as well. And what that does from a security perspective, is it leaves you in the position that I had. I walked in and I was the first actual CISO. I had a team of four, I now have a team of 40. Because it turns out that like a lot of things in life, as you start unpacking problems, they're kind of fractal. You unpack the problem, you're like oh, well I did deal with that problem, but now I got another problem that I got to deal with. And so there's, it's not turtles all the way down. >> There's a lot of things going on and other authors, survive change. >> And there's fundamental problems that are still not fixed. And yet we treat them like they're fixed. And so we're doing a lot of hard work to make it so that we don't have to do hard work ongoing. >> And that's the value of the managed service. >> Yes. >> Okay, so talk about competition. Obviously, we had ETR on which is Enterprise Research Firm that we trust, we like. And we were looking at the data with the headwinds in the market, looking at the different players like got Amazon has Redshift, Snowflake, and you got Azure Sequence. I think it's called one of those products. The money that's being shifted from on premise data where the old school data warehouse like terra data and whatnot, is going first to Snowflake, then to Azure, then to AWS. Yes, so that points to snowflake being kind of like the bell of the ball if you will, in terms of from a data cloud. >> Absolutely. >> How do you compete with them? What's the pitch 'Cause that seemed to be a knee-jerk reaction from the industry. 'Cause snowflake is hot. They have a good value product. They have a smart team, Databrick is out there too. >> Yeah I mean... >> how do you guys compete against all that. >> So this is that point where you're balancing the value of a specific technology, or a specific technology vendor. And am I going to be stuck with them? So I'm tying my future to their future. With open source, I'm tying my future to the common good right. The internet runs on open source. It doesn't run on anything closed. And so I'm not hitching my wagon to something that I don't control. I'm hitching it to something where, any one of our customers could decide. I'm not getting the value I need from Aiven anymore. I need to go. And we provide you with the tools necessary, to move from our open source managed service to your own. Whether you go on-prem or you run it yourself, on a cloud service provider, move your data to you because it's your data. It's not ours. How can I hold your data? It's like weird extortion ransoming thing. >> Actually speaking, I mean enterprise, it's a big land grab 'cause with cloud you're horizontally scalable. It's a beautiful thing, open source is booming. It's going in Aiven, every day it's just escalating higher and higher. >> Absolutely. >> It is the software business. So open is open. Integration and scale seems to be the competitive advantage. >> Yeah. >> Right. So, how do you guys compete with that? Because now you got open source. How do you offer the same benefits without the lock in, or what's the switching costs? How do you guys maintain that position of not saying the same thing in Snowflake? >> Because all of the biggest data users and consumers tend to give away their data products. LinkedIn gave away their data product. Uber gave away their data product, Facebook gave away their data product. And we now use those as community solutions. So, if the product works for something the scale of LinkedIn, or something the scale of Uber. It will probably work for you too. And scale is just... >> Well Facebook and LinkedIn, they gave away the product to own the data to use against you. >> But it's the product that counts because you need to be able to manipulate data the way they manipulate data, but with yours. >> So low latency needs to work. So horizontally, scalable, fees, machine learning. That's what we're seeing. How do you make that available? Customers want on architecture? What do you recommend? Control plane, data plane, how do you think about that? >> It's interesting. There's architectural reasons to think about it in terms like that. And there's other good architectural reasons to not think about it. There's sort of this dividing line in the cloud, where your cloud service provider, takes over and provides you with the opportunity to say, I don't know. And I don't care >> As long as it's secure >> As long as it's secure absolutely. But there's sort of that water line idea, where if it's below the water line, let somebody else deal. >> What is in the table stakes? 'Cause I like that approach. I think that's a good value proposition. Store it, what boxes have to be checked? Compliance, secure, what are some of the boxes? >> You need to make sure that you've taken care of all of the same basics if you are still running it. Remember you can't absolve yourself of your duty to your customer. You're still on the hook. So, you have to have backups. You have to have access control. You have to understand who's administering it, and how and what they're doing. Good logging, good comprehension there. You have to have anomaly detection, secure operations. You have to have all those compliance check boxes. Especially if you're dealing with regulated data type like PCI data or HIPAA health data or you know what there's other countries besides the United States, there's other kinds of of compliance obligations there. So you have to make sure that you've got all that taken into account. And remember that, like I said, you can't absolve yourself with those things. You can share responsibilities. But you can't walk away from that responsibility. So you still have to make sure that you validate that your vendor knows what they're talking about. >> I wanted to ask you about the cybersecurity skills gap. So I'm kind of giving a little segue here, because you mentioned you've been with Aiven for about two years. >> Almost. >> Almost two years. You've started with a team of four. You've grown at 10X in less than two years. How have you accomplished that, considering we're seeing one of the biggest skills shortages in cyber in history. >> It's amazing, you see this show up in a lot of job Ads, where they ask for 10 years of experience in something that's existed for three years. (John Furrier laughs) And it's like okay, well if I just be logical about this I can hire somebody at less than the skill level that I need today, and bring them up to that skill level. Or I can spend the same amount of time, hoping that I'll find the magical person that has that set of skills that I need. So I can solve the problem of the skills gap by up-skilling the people that I hire. Which is strangely contrary to how this thing works. >> The other thing too, is the market's evolving so fast that, that carry up and pulling someone along, or building and growing your own so to speak is workable. >> It also really helps us with a bunch of sustainability goals. It really helps with anything that has to do with diversity and inclusion, because I can bring forward people who are never given a chance. And say, you know what? You don't have that magical ticket in life, but damn you know what you're talking about? >> It's a classic pedigree. I went to this school, I studied this degree. There's no degree if have to stop a hacker using state of the art malware. (John Furrier laughs) >> Exactly. What I do today as a job, didn't exist when I was in post-secondary at all. >> So when you hire, what do you look for? I mean obviously problem solving. What's your kind of algorithm for hiring? >> Oh, that's a really interesting question. The quickest sort of summary of it is, I'm looking for not a jerk. >> Not a jerk. >> Yeah. >> Okay. >> Because it turns out that the quality that I can't fix in a candidate, is I can't fix whether or not they're a jerk, but I can up-skill them, I can educate them. I can teach them of a part of the world that they've not had any interaction with. But if they're not going to work with the team, if they're going to be, look at me, look at me. If they're going to not have that moment of, I have this great job, and I get to work today. And that's awesome. (Lisa Martin laughs) That's what I'm trying to hire for. >> The essence of this teamwork is fundamental. >> Collaboration. >> Cooperation. >> Curiosity. >> That's the thing yeah, absolutely. >> And everybody? >> Those things, oh absolutely. Those things are really, really hard to interview for. And they're impossible to fix after the fact. So that's where you really want to put the effort. 'Cause I can teach you how to use a computer. I mean it's hard, but it's not that hard. >> Yeah, yeah, yeah. >> Well I love the current state of data management. Good overview, you guys are in the good position. We love open source. Been covering it for, since theCUBE started. It continues to redefine more and more the industry. It is the software industry. Now there's no debate about that. If people want to have that debate, that's kind of waste of time, but there are other ways that are happening. So I have to ask you. As things are going forward with innovation. Okay, if opensource is going to be the software industry. Where's the value? >> That's a fun question wow? >> Is it going to be in the community? Is it the integration? Is it the scale? If you're open and you have low switching costs... >> Yeah so, when you look at Aiven's commitment to open source, a huge part of that is our open source project office, where we contribute back to those core products, whether it's parts of the Apache Foundation, or Postgres, or whatever. We contribute to those, because we have staff who work on those products. They don't work on our stuff. They work on those. And it's like the opposite of a zero sum game. It's more like Nash equilibrium. If you ever watch that movie, "A beautiful mind." That great idea of, you don't have to have winners and losers. You can have everybody loses a little bit but everybody wins a little bit. >> Yeah and that's the open the ethos. >> And that's where it gets tied up. >> Another follow up on that. The other thing I want to get your reaction on is that, now in this modern era of open source, almost all corporations are part of projects. I mean if you're an entrepreneur and you want to get funding it's pretty simple. You start open source project. How many stars you get on GitHub guarantees it's a series C round, pretty much. So open source now has got this new thing going on, where it's not just open source folks who believe in it It's an operating model. What's the dynamic of corporations being part of the system. It used to be, oh what's the balance between corporate and influence, now it's standard. What's your reaction? >> They can do good and they can do harm. And it really comes down to why are you in it? So if you look at the example of open search, which is one of the data products that we operate in the Aiven system. That's a collaboration between Aiven. Hey we're an awesome company, but we're nowhere near the size of AWS. And AWS where we're working together on it. And I just had this conversation with one of the attendees here, where he said, "Well AWS is going to eat your story there. "You're contributing all of this "to the open search platform. "And then AWS is going to go and sell it "and they're going to make more money." And I'm like yep, they are. And I've got staff who work for the organization, who are more fulfilled because they got to deliver something that's used by millions of people. And you think about your jobs. That moment of, (sighs) I did a cool thing today. That's got a lot of value in it. >> And part of something. >> Exactly. >> As a group. >> 100%. >> Exactly. >> And we end up with a product that's used by millions. Some of it we'll capture, because we do a better job running than the AWS does, but everybody ends up winning out of the backend. Again, everybody lost a little, but everybody also won. And that's better than that whole, you have to lose so that I can win. At zero something, that doesn't work. >> I think the silo conversations are coming, what's the balance between siloing something and why that happens. And then what's going to be freely accessible for data. Because the real time information is based upon what you can access. "Hey Siri, what's the weather. "We had a guest on earlier." It says, oh that's a data query. Well, if the weather is, the data weathers stored in a database that's out here and it can't get to the response on the app. Yeah, that's not good, but the data is available. It just didn't get delivered. >> Yeah >> Exactly. >> This is an example of what people are realizing now the consequences of this data, collateral damage or economy value. >> Yeah, and it's understanding how data fits in your environment. And I don't want to get on the accountants too hard, but the accounting organizations, AICPA and ISAE and others, they haven't really done a good job of helping you understand data as an asset, or data as a liability. I hold a lot of customer data. That's a liability to me. It's going to blow up in my face. We don't talk about the income that we get from data, Google. We don't talk about the expense of regenerating that data. We talk about, well what happens if you lose it? I don't know. And we're circling the drain around fiduciary responsibility, and we know how to do this. If you own a manufacturing plant, or if you own a fleet of vehicles you understand the fiduciary duty of managing your asset. But because we can't touch it, we don't do a good job of it. >> How far do you think are people getting into the point where they actually see that asset? Because I think it's out of sight out of mind. Now there's consequences, there's now it's public companies might have to do filings. It's not like sustainability and data. Like, wait a minute, I got to deal with these things. >> It's interesting, we got this great benefit of the move to cloud computing, and the move to utility style computing. But we took away that. I got to walk around and pet my computers. Like oh! This is my good database. I'm very proud of you. Like we're missing that piece now. And when you think about the size of data centers, we become detached from that, you don't really think about, Aiven operates tens of thousands of machines. It would take entire buildings to hold them all. You don't think about it. So how do you recreate that visceral connection to your data? Well, you need to start actually thinking about it. And you need to do some of that tokenization. When was the last time you printed something out, like you get a report and happens to me all the time with security reports. Look at a security report and it's like 150 page PDF. Scroll, scroll, scroll, scroll. Print it out, stump it on the table in front of you. Oh, there's gravitas here. There's something here. Start thinking about those records, count them up, and then try to compare that to something in the real world. My wife is a school teacher, kindergarten to grade three, and tokenizing math is how they teach math to little kids. You want to count something? Here's 10 things, count them. Well, you've got 60,000 customer records, or you have 2 billion data points in your IOT database, tokenize that, what does 2 billion look like? What does $1 million look like in the form of $100 dollars bills on a pallet? >> Wow. >> Right. Tokenize that data, create that visceral connection with it, and then talk about it. >> So when you say tokenized, you mean like token as in decentralization token? >> No, I mean create like a totem or an icon of it. >> Okay, got it. >> A thing you can hold holy. If you're a token company. >> Not token as in Token economics and Crypto. >> If you're a mortgage company, take that customer record for one of your customers, print it out and hold the file. Like in a Manila folder, like it's 1963. Hold that file, and then say yes. And you're explaining to somebody and say yes, and we have 3 million of these. If we printed them all out, it would take up a room this size. >> It shows the scale. >> Right. >> Right. >> Exactly, create that connection back to the human level of interaction with data. How do you interact with a terabyte of data, but you do. >> Right. >> But once she hits upgrade from Google drive. (team laughs) >> What's a terabyte right? We don't hold that anymore. >> Right, right. >> Great conversation. >> Recreate that connection. Talk about data that way. >> The visceral connection with data. >> Follow up after this event. We'd love to dig more and love the approach. Love open source, love what you're doing there. That's a very unique approach. And it's also an alternative to some of the other vast growing plus your valuations are very high too. So you're not like a... You're not too far away from these big valuations. So congratulations. >> Absolutely. >> Yeah excellent, I'm sure there's lots of work to do, lots of strategic work to do with that round of funding. But also lots of opportunity, that it's going to open up, and we know you don't hire jerks. >> I don't >> You have a whole team of non jerks. That's pretty awesome. Especially 40 of 'em. That's impressive James.| >> It is. >> Congratulations to you on what you've accomplished in the course of the team. And thank you for sharing your insights with John and me today, we appreciate it. >> Awesome. >> Thanks very much, it's been great. >> Awesome, for John furrier, I'm Lisa Martin and you're watching theCube, live in New York city at AWS Summit NYC 22, John and I will be right back with our next segment, stick around. (upbeat music)

>>mhm mhm >>Hey guys, welcome back to Los Angeles lisa martin. Coming to you live from cuba con and cloud native Con north America 2021. Very excited to be here. This is our third day of back to back coverage on the cube and we've got a couple of guests cube alumni joining me remotely. Please welcome parse our karate senior consultant, product marketing, Dell Technologies and David Noi VP product management at Dell Technologies. Gentlemen welcome back to the program. >>Thanks johnny >>so far so let's go ahead and start with you. Let's talk about what Dell EMC is offering to developers today in terms of unstructured data. >>Absolutely, it's great to be here. So let me start with the container storage interface. This is Q khan and a couple of years ago the container storage interface was still in beta and the storage vendors, we're very enthusiastically kind of building the plug in city of the different storage portfolio to offer enterprise grade features to developers are building applications of the Cuban this platform. And today if you look at the deli in storage portfolio, big block volumes. Nash shares s three object A P I S beyond their virtual volumes. However you're consuming storage, you have the plug ins that are required to run your applications with these enterprise Great feature speech right about snap sharks data replication, all available in the Cuban this layer and just this week at coupon we announced the container storage modules which is kind of the next step of productivity for developers beat you know uh in terms of observe ability of the storage metrics using tools like Prometheus visualizing it ravana authorization capabilities so that you know too bad moments can have better resource management of the storage that is being consumed um that so there are these multiple models were released. And if you look at unstructured data, this term may be a bit new for our kind of not very family for developers but basically the storage. Well there is a distinction that is being made you know, between primary storage and unstructured storage or unstructured data solutions And by unstructured we mean file and object storage. If you look at the cube contact nickel sessions, I was very glad to see that there is an entire stream for um machine learning and data so that speaks to how popular communities deployment models are getting when it comes to machine learning and artificial intelligence. Um even applications like genomics and media and entertainment and with the container storage interface uh and the container storage modules with the object storage portfolio that bill has, we offer the comprehensive unstructured data solutions for developers beat object or file. And the advantage the developers are getting is these you know, if you look at platforms like power scale and these areas, these are like the industry workhorses with the highest performance. And if you think of scale, you know, think of 250 nasnotes, you know with a single name space with NVIDIA gpu direct capabilities. All these capabilities developers can use um for you know, applications like machine learning or any competition intensive for data intensive applications that requires these nass uh scale of mass platforms. So so um that's that's what is new in terms of uh what we are offering, you have the storage heaters >>got a parcel. Thank you. David, let's bring you into the conversation now you've launched objects scale at VM World. Talk to us about that, what some of the key features and capabilities are and some of those big business benefits that customers are going to be able to achieve. >>Sure thing. So I really want to focus on three of the biggest benefits. This would be the fact that the product is actually based on kubernetes country, the scale of the product and then its ability to do global replication. So let me just touch on those in order. Mhm You said that the product is based on kubernetes and here we are cube concept. The perfect time to be talking about that. This product really caters to those who are looking for a flexible way to deploy object storage in containerized fashion, appeals to the devops folks and folks who like to automate things and call the communities a P I. S to make uh the actual deployment of the product. Very simple in turnkey and that's really what people turn to kubernetes for is the ability to spin things up when they need them and spend them down as they don't and make that all on commodity hardware and commodity, you know, the quantity pricing and the idea there is that I'm making it as simple and easy as possible. You're not going to get as much shadow I. T. You won't have people going off and putting things off into a public cloud. And so where security of an organization or control of the data that flows with an organization is important. Having something that's easy for developers to use in the same paradigm that they're used to is critical. Now I talked about scale and you know, if you have come to me two years ago I would have told you, you know, kubernetes, yeah, containers people are kicking it around and they're doing some interesting science experiments, I would say in the last year I started to see a lot of requests from customers um in the dozens, even 200 petabyte range as it relates to capacity for committees and specifically looking for C. S. I and cozy with this. This this is the the object storage implementation of the container storage interfaces. Uh So skin was definitely there and the idea of this product is to provide easy scalability from the terabytes range into the multi petabyte range and again it's that ease of use, ease of deployment because it is kubernetes basically because it's a KPI driven that makes that possible. So we're talking about going from a three night minimum to thousands of nodes. and this allows people to deploy the product either at the edge or in the data center um in the edge because you can get very small deployments in the data center to massive scale. So we want to provide something that covers the gamut. The last thing I talked about was replication. So let me just touch upon what I mean by that uh when people go and build these deployments, if you're building a deployment at the edge of an object scale product, you're probably taking in sensor data or some kind of information that you want to then send back to a data center for processing. So you make it simple to do bucket based replication. An object, sorry object storage based replication to move things to another location. And uh that can be used either for bringing data back for analytics from the edge, it can be used for availability. So making sure that you have data available across multiple data centers in the case that you have an outage. It could be even used for sharing data between developers in one site and another site. So we provide that level of flexibility overall. Um this is the next generation object store leveraging. Dell technologies number one position in object storage. So I'm pretty excited about >>and how David is object scale integrated with VM ware software. Stop give us that slice and dice. >>Yeah, and that's a good question. And so, you know, we're talking about this being a Kubernetes based product, you can deploy it on open shift or we integrate directly with VM ware cloud foundation and with Tansy, which is VM ware's container orchestration and management platform. I've seen the demo of the product myself from my team and they've showed it to be did all of the management of the product was actually done within the V sphere Ui, which is great. So easy to go and just enter the V sphere. You I installed the product very simply have it up and running and then go and do all of your management through that user interface or to automate it using the same api is that you used to through VM ware and the 10 Zoo uh platform. >>Thank you, paris are back to you. Security is a big theme here in kubernetes. It's also been a big theme here. We've been talking about it the last three days here at cop con. How does Dell EMC's unstructured portfolio offer that necessary cyber protection that developers need to have and bake that into what they're doing. So >>surely, you know, they talk about cybersecurity, you know, there are different layers of security right from, you know, smarter firewalls to you know how to manage privileged account access and so on. And what we are trying to do is to provide a layer of cyber defense, right at the asset that you're trying to protect, which is the data and this is where the ransom their defender solution is basically detecting any patterns of the compromise that might have happened and alerting the I. T. Um administration about this um possible um intrusions into their into the data by looking at the data access parents in real time. So that's a pretty big deal. Then we're actually putting all this, you know, observance on the primary data and that's what the power scale platform cybersecurity protection features offers. Now we've also extended this kind of detection mechanism for the object data framework on pcs platforms as well. So this is like an additional layer of security at the um layer of uh you know where the data is actually being read and written. Do that's the area, you know, in case of object here we're looking at the S. Three traffic and trying to find his parents in case of a file data atmosphere, looking at the file's access parents and so on. So and in relation to this we're also providing uh data isolation mechanism that is very critical in many cyber recovery processes with the smart absolution as well. So this is something that the developers are getting for like without having to worry about it because that is something implemented at the infrastructure layer itself. So they don't have to worry about you know trying to court it or develop their application to integrate these kinds of things because it's an it's embedded in the infrastructure at the one of the FBI level at the E C. S A P I level. So that's pretty um pretty differentiating in the industry in the country storage solutions. I'll get. >>Uh huh. Yeah. I mean look if you look at what a lot of the object storage players are doing as it relates to cyber security. They're they're playing off the fact that they've implemented object lock and basically using that to lockdown data. And that's that's good. I mean I'm glad that they're doing that and if the case that you were able to lock something down and someone wasn't able to bypass that in some way, that's fantastic. Or if they didn't already encrypted before I got locked down what parts are is referring to is a little bit more than that. It's actually the ability to look at user behavior and determined that something bad is happening. So this is about actually being able to do, you know, predictive analytics being able to go and figure out that you're under attack. There's anomalous behavior um and we're able to go and actually infer from that that something bad is happening and where we think it's happening and lock it down even even more securely than for example just saying hey we provide object like capabilities which is one of the responses that I've seen out there from object storage vendors >>can you share with us. Parts are a customer example like walk us through how this is actually being used and deployed and what some of those business outcomes are. >>Yes lisa. So in terms of container realization itself, they have a media and entertainment kind of customer story here. Um Swiss TXT um they have a platform as a service where they serve their customer base with a range of uh you know, media production and broadcasting solutions and they have containers this platform and part of this computerization is part of their services is they offer infrastructure as a service to you know, media producers who need a high performance storage, high performance computing and power skill And Iceland have been their local solutions to offer this And now that they have containerized their core platform. Well you see a sign interface for power skills, they are able to continue to deliver the infrastructure, high performance infrastructure and storage services to their customers through the A. P I. And it's great to see how fast they could, you know, re factor their application but yet continue to offer the high performance and degrees enterprise grade uh features of the power scale platform. So Swiss Txt and would love to share more. Keep it on the story. Yeah. Hyperlink. >>And where can folks go to learn more about objects scale and what you guys are announcing? Yes, particular. You are a website that you want to direct folks too. >>I would say that technologies dot com. And uh that's the best place to start. >>Yeah, I would go to the Delta product pages around objects should be publicly built. >>Excellent guys, thank you for joining me on the program today. Walking through what how Dell EMC is helping developers with respect to unstructured data, Talking to us about objects skill that you launched VM world, some of those big customer benefits and of course showing us the validation, the proof in the pudding with that customer story. We appreciate your insights. >>Thank you. Thank you lisa >>For my guests. I'm Lisa Martin. You're watching the Cube live from Los Angeles. We're coming to you from our coverage of coupon and cloud native on North America 21. Coming back. Stick around. Rather I should say we'll be back after a short break with our next guest.

>>live from Stanford University. It's the queue covering Stanford women in data science 2020. Brought to you by Silicon Angle Media. >>Hi! And welcome to the Cube. I'm your host, Sonia, to guard. And we're live at Stanford University covering Woods Women in Data Science Conference The fifth annual one And joining us today is Daphne Koller, who is the co founder who sorry is the CEO and founder of In Citro that Daphne. Welcome to the Cube. >>Nice to be here, Sonia. Thank you for having me. So >>tell us a little bit about in Citro how you how you got founded and more about your >>role. So I've been working in the intersection of machine learning and biology and health for quite a while, and it was always a bit of an interesting journey and that the data sets were quite small and limited. We're now in a different world where there's tools that are allowing us to create massive biological data sense that I think can help us solve really significant societal problems. And one of those problems that I think is really important is drug discovery and development, where despite many important advancements, the costs just keep going up and up and up. And the question is, can we use machine learning to solve that problem >>better? And you talk about this more in your keynote, so give us a few highlights of what you talked about. So in the last, you can think of >>drug discovery development in the last 50 to 70 years as being a bit of a glass half full glass, half empty. The glass half full is the fact that there's diseases that used to be a death sentence or of sentenced, a lifelong of pain and suffering that >>are now >>addressed by some of the modern day medicines. And I think that's absolutely amazing. The >>other side of >>it is that the cost of developing new drugs has been growing exponentially and what's come to be known as the Rooms law being the inverse of Moore's law, which is the one we're all familiar with because the number of drugs approved per 1,000,000,000 U. S. Dollars just keeps going down exponentially. So the question is, can we change that curve? >>And you talked in your keynote about the interdisciplinary culture to tell us more about that? I think in >>order to address some of the critical problems that we're facing. One needs to really build a culture of people who work together at from different disciplines, each bringing their own insights and their own ideas into the mix. So and in Citro, we actually have a company. That's half life scientists, many of whom are producing data for the purpose of driving machine learning models and the other Halford machine learning people in data scientists who are working on those. But it's not a handoff where one group produces that they then the other one consumes and interpreted. But really, they start from the very beginning to understand. What are the problems that one could solve together? How do you design the experiment? How do you build the model and how do you derive insights from that that can help us make better medicines for people? >>And, um, I also wanted to ask you the you co founded coursera, so tell us a little bit more about that platform. So I found that >>coursera as a result of work that I've been doing at Stanford, working on how technology can make education better and more accessible. This was a project that I did here, number of my colleagues as well. And at some point in the fall of 2011 there was an experiment of Let's take some of the content that we've been we've been developing within within Stanford and put it out there for people to just benefit from, and we didn't know what would happen. Would it be a few 1000 people, but within a matter of weeks with minimal advertising Other than one New York Times article that went viral, we had 100,000 people in each of those courses. And that was a moment in time where, you know, we looked at it at this and said, Can we just go back to writing more papers or is there an incredible opportunity to transform access to education to people all over the world? And so I ended up taking a what was supposed to be to really absence from Stanford to go and co found coursera, and I thought I'd go back after two years, but the But at the end of that two year period, the there was just so much more to be done and so much more impact that we could bring to people all over the world, people of both genders, people of different social economic status, every single country around the world. We just felt like this was something that I couldn't not dio. >>And how did you Why did you decide to go from an educational platform to then going into machine learning and biomedicine? >>So I've been doing Corsair for about five years in 2016 and the company was on a great trajectory. But it's primarily >>a >>a content company, and around me, machine learning was transforming the world, and I wanted to come back and be part of that. And when I looked around, I saw machine learning being applied to e commerce and the natural language and to self driving cars. But there really wasn't a lot of impact being made on the life science area. I wanted to be part of making that happen, partly because I felt like coming back to your earlier comment that in order to really have that impact, you need to have someone who speaks both languages. And while there's a new generation of researchers who are bilingual in biology and machine learning, there's still a small group in there, very few of those in kind of my age cohort and I thought that I would be able to have a real impact by bullying company in the space. >>So it sounds like your background is pretty varied. What advice would you give to women who are just starting college now who may be interested in the similar field? Would you tell them they have to major in math? Or or do you think that maybe, like there's some other majors that may be influential as well? I think >>there is a lot of ways to get into data science. Math is one of them. But there's also statistics or physics. And I would say that especially for the field that I'm currently in, which is at the intersection of machine learning data science on the one hand, and biology and health on the other one can, um, get there from biology or medicine as well. But what I think is important is not to shy away from the more mathematically oriented courses in whatever major you're in, because that foundation is a really strong one. There is ah lot of people out there who are basically lightweight consumers of data science, and they don't really understand how the methods that they're deploying, how they work and that limits thumb in their ability to advance the field and come up with new methods that are better suited, perhaps, of the problems of their tackling. So I think it's totally fine. And in fact, there's a lot of value to coming into data science from fields other than now third computer science. But I think taking courses in those fields, even while you're majoring in whatever field you're interested in, is going to make you a much better person who lives at that intersection. >>And how do you think having a technology background has helped you in in founding your companies and has helped you become a successful CEO in companies >>that are very strongly R and D, focused like like in Citro and others? Having a technical co founder is absolutely essential because it's fine to have and understanding of whatever the user needs and so on and come from the business side of it. And a lot of companies have a business co founder. But not understanding what the technology can actually do is highly limiting because you end up hallucinating. Oh, if we could only do this and that would be great. But you can't and people end up often times making ridiculous promises about what's technology will or will not do because they just don't understand where the land mines sit. And, um, and where you're going to hit reels, obstacles in the path. So I think it's really important to have a strong technical foundation in these companies. >>And that being said, Where do you see in Teacher in the future? And how do you see it solving, Say, Nash, that you talked about in your keynote. >>So we hope that in Citro will be a fully integrated drug discovery and development company that is based on a completely different foundation than a traditional pharma company where they grew up. In the old approach of that is very much a bespoke scientific um, analysis of the biology of different diseases and then going after targets are ways of dealing with the disease that are driven by human intuition. Where I think we have the opportunity to go today is to build a very data driven approach that collects massive amounts of data and then let analysis of those data really reveal new hypotheses that might not be the ones that accord with people's preconceptions of what matters and what doesn't. And so hopefully we'll be able to overtime create enough data and applying machine learning to address key bottlenecks in the drug discovery development process that we can bring better drugs to people, and we can do it faster and hopefully it much lower cost. >>That's great. And you also mention in your keynote that you think the 20 twenties is like a digital biology era, so tell us more about that. So I think if >>you look, if you take a historical perspective on science and think back, you realize that there's periods in history where one discipline has made a tremendous amount of progress in relatively short amount of time because of a new technology or a new way of looking at things in the 18 seventies, that discipline was chemistry with the understanding of the periodic table, and that you actually couldn't turn lead into gold in the 19 hundreds. That was physics with understanding the connection between matter and energy in between space and time. In the 19 fifties that was computing where silicon chips were suddenly able to perform calculations that up until that point, only people have been able to >>dio. And then in 19 nineties, >>there was an interesting bifurcation. One was three era of data, which is related to computing but also involves elements, statistics and optimization of neuroscience. And the other one was quantitative biology. In which file do you move from a descriptive signs of taxonomy izing phenomenon to really probing and measuring biology in a very detailed on high throughput way, using techniques like micro arrays that measure the activity of 20,000 genes at once, or the human genome sequencing of the human genome and many others. But >>these two fields kind of >>evolved in parallel, and what I think is coming now, 30 years later, is the convergence of those two fields into one field that I like to think of a digital biology where we are able using the tools that have and continue to be developed, measure biology, an entirely new levels of detail, of fidelity of scale. We can use the techniques of machine learning and data signs to interpret what we're seeing and then use some of the technologies that are also emerging to engineer biology to do things that it otherwise wouldn't do. And that will have implications and bio materials in energy and the environment in agriculture. And I think also in human health. And it's a incredibly exciting space toe to be in right now, because just so much is happening in the opportunities to make a difference and make the world a better place or just so large. >>That sounds awesome. Stephanie. Thank you for your insight. And thanks for being on the Cube. Thank you. I'm Sonia. Taqueria. Thanks for watching. Stay tuned for more. Okay? Great. Yeah, yeah, yeah.

live from Stanford University it's the hue covering Stanford women in data science 2020 brought to you by Silicon angle media hi and welcome to the cube I'm your host Sonia - Garrett and we're live at Stanford University covering wigs women in data science conference the fifth annual one and joining us today is Daphne Koller who is the co-founder who sari is the CEO and founder of in seat row that Daphne welcome to the cube nice to be here Sonia thank you for having me so tell us a little bit about in seat row how you how it you got it founded and more about your role so I've been working in the intersection of machine learning and biology and health for quite a while and it was always a bit of a an interesting journey in that the data sets were quite small and limited we're now in a different world where there's tools that are allowing us to create massive biological data sets that I think can help us solve really significant societal problems and one of those problems that I think is really important is drug discovery development where despite many important advancements the costs just keep going up and up and up and the question is can we use machine learning to solve that problem better and you talk about this more in your keynote so give us a few highlights of what you talked about so in the last you can think of drug discovery and development in the last 50 to 70 years as being a bit of a glass half-full glass half-empty the glass half-full is the fact that there's diseases that used to be a death sentence or of the sentence still a life long of pain and suffering that are now addressed by some of the modern-day medicines and I think that's absolutely amazing the other side of it is that the cost of developing new drugs has been growing exponentially in what's come to be known as Arun was law being the inverse of Moore's Law which is the one we're all familiar with because the number of drugs approved per billion u.s. dollars just keeps going down exponentially so the question is can we change that curve and you talked in your keynote about the interdisciplinary cold to tell us more about that I think in order to address some of the critical problems that were facing one needs to really build a culture of people who work together at from different disciplines each bringing their own insights and their own ideas into the mix so and in seat row we actually have a company that's half-life scientists many of whom are producing data for the purpose of driving machine learning models and the other half are machine learning people and data scientists who are working on those but it's not a handoff where one group produces the data and the other one consumes and interpreted but really they start from the very beginning to understand what are the problems that one could solve together how do you design the experiment how do you build the model and how do you derive insights from that that can help us make better medicines for people and I also wanted to ask you you co-founded Coursera so tell us a little bit more about that platform so I founded Coursera as a result of work that I'd been doing at Stanford working on how technology can make education better and more accessible this was a project that I did here a number of my colleagues as well and at some point in the fall of 2011 there was an experiment let's take some of the content that we've been we've been developing within it's within Stanford and put it out there for people to just benefit from and we didn't know what would happen would it be a few thousand people but within a matter of weeks with minimal advertising other than one New York Times article that went viral we had a hundred thousand people in each of those courses and that was a moment in time where you know we looked at this and said can we just go back to writing more papers or is there an incredible opportunity to transform access to education to people all over the world and so I ended up taking a what was supposed to be a teary leave of absence from Stanford to go and co-found Coursera and I thought I'd go back after two years but the but at the end of that two-year period the there was just so much more to be done and so much more impact that we could bring to people all over the world people of both genders people of the different social economic status every single country around the world we I just felt like this was something that I couldn't not do and how did you why did you decide to go from an educational platform to then going into machine learning and biomedicine so I've been doing Coursera for about five years in 2016 and the company was on a great trajectory but it's primarily a Content company and around me machine learning was transforming the world and I wanted to come back and be part of that and when I looked around I saw machine learning being applied to ecommerce and the natural language and to self-driving cars but there really wasn't a lot of impact being made on the life science area and I wanted to be part of making that happen partly because I felt like coming back to our earlier comment that in order to really have that impact you need to have someone who speaks both languages and while there's a new generation of researchers who are bilingual in biology and in machine learning there's still a small group and there very few of those in kind of my age cohort and I thought that I would be able to have a real impact by building and company in the space so it sounds like your background is pretty varied what advice would you give to women who are just starting college now who may be interested in a similar field would you tell them they have to major in math or or do you think that maybe like there are some other majors that may be influential as well I think there's a lot of ways to get into data science math is one of them but there's also statistics or physics and I would say that especially for the field that I'm currently in which is at the intersection of machine learning data science on the one hand and biology and health on the other one can get there from biology or medicine as well but what I think is important is not to shy away from the more mathematically oriented courses in whatever major you're in because that found the is a really strong one there's a lot of people out there who are basically lightweight consumers of data science and they don't really understand how the methods that they're deploying how they work and that limits them in their ability to advance the field and come up with new methods that are better suited perhaps to the problems that they're tackling so I think it's totally fine and in fact there's a lot of value to coming into data science from fields other than a third computer science but I think taking courses in those fields even while you're majoring in whatever field you're interested in is going to make you a much better person who lives at that intersection and how do you think having a technology background has helped you in in founding your companies and has helped you become a successful CEO in companies that are very strongly Rd focused like like in C tro and others having a technical co-founder is absolutely essential because it's fine to have an understanding of whatever the user needs and so on and come from the business side of it and a lot of companies have a business co-founder but not understanding what the technology can actually do is highly limiting because you end up hallucinating oh if we could only do this and yet that would be great but you can't and people end up oftentimes making ridiculous promises about what technology will or will not do because they just don't understand where the land mines sit and and where you're gonna hit real obstacles and in the path so I think it's really important to have a strong technical foundation in these companies and that being said where do you see an teacher in the future and and how do you see it solving say Nash that you talked about in your keynote so we hope that in seat row we'll be a fully integrated drug discovery and development company that is based on a slightly different foundation than a traditional pharma company where they grew up in the old approach of that is very much bespoke scientific analysis of the biology of different diseases and then going after targets or our ways of dealing with the disease that are driven by human intuition where I think we have the opportunity to go today is to build a very data-driven approach that collects massive amounts of data and then let analysis of those data really reveal new hypotheses that might not be the ones that the cord with people's preconceptions of what matters and what doesn't and so hopefully we'll be able to over time create enough data and apply machine learning to address key bottlenecks in the drug discovery development process so we can bring better drugs to people and we can do it faster and hopefully at much lower cost that's great and you also mentioned in your keynote that you think that 2020s is like a digital biology era so tell us more about that so I think if you look if you take a historical perspective on science and think back you realize that there's periods in history where one discipline has made a tremendous amount of progress in a relatively short amount of time because of a new technology or a new way of looking at things in the 1870s that discipline was chemistry was the understanding of the periodic table and that you actually couldn't turn lead into gold in the 1900s that was physics with understanding the connection between matter and energy and between space and time in the 1950s that was computing where silicon chips were suddenly able to perform calculations that up until that point only people have been able to do and then in 1990s there was an interesting bifurcation one was the era of data which is related to computing but also involves elements statistics and optimization of neuroscience and the other one was quantitative biology in which biology moved from a descriptive science of techsan amaizing phenomena to really probing and measuring biology in a very detailed and a high-throughput way using techniques like microarrays that measure the activity of 20,000 genes at once Oh the human genome sequencing of the human genome and many others but these two feels kind of evolved in parallel and what I think is coming now 30 years later is the convergence of those two fields into one field that I like to think of as digital biology where we are able using the tools that have and continue to be developed measure biology in entirely new levels of detail of fidelity of scale we can use the techniques of machine learning and data science to interpret what we're seeing and then use some of the technologies that are also emerging to engineer biology to do things that it otherwise wouldn't do and that will have implications in biomaterials in energy in the environment in agriculture and I think also in human health and it's an incredibly exciting space to be in right now because just so much is happening and the opportunities to make a difference and make the world a better place are just so large that sounds awesome Daphne thank you for your insight and thank you for being on cute thank you I'm so neat agario thanks for watching stay tuned for more great

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019. Brought to you by IBM Wear and its ecosystem partners. >> Welcome back to the cubes Live coverage Of'em World 2019 in San Francisco, California We're here at Mosconi North Lobby. Two sets. Jumper of my Coast. David wanted Dave 10 years. Our 10th season of the cue coming up on our 10 year anniversary May of 2020. But this corner are 10 years of the Cube. Our next guest is Sanjay Putting Chief Operating Officer Of'em where who took the time out of his busy schedule to help us do a commemorative look back. Thanks for coming to our studio. Hello, John. That was great. Fans of yours was really regulations on the 10 year mark with the, um well, we really appreciate your partnership. We really appreciate one. Things we love doing is covering as we call that thing. David, I coined the term tech athletes, you know, kind of the whole joke of ESPN effect that we've been called and they're really tech athlete is just someone who's a strong in tech always fighting for that extra inch. Always putting in the hard work discipline, smart, competitive. You get all that above. Plus, you interviewed athletes today on state real athletes. Real athletes, Tech show. So I guess they would qualify as Tech athlete Steve Young. That's pretty funny. It was a >> great time. We've been trying to, you know, Veum World is now the first time was 2004. So it's 1/16 season here, and traditionally many of these tech conference is a really boring because it's just PowerPoint dead by power point lots of Tec Tec Tec Tec breakout sessions. And we're like, You know, last year we thought, Why don't we mix it up and have something that's inspirational education We had Malala was a huge hit. People are crying at the end of the session. Well, let's try something different this year, and we thought the combination of Steve Young and Lyndsey one would be great. Uh, you know, Listen, just like you guys prepped for these interviews, I did a lot of prep. I mean, I'm not I'm a skier, but I'm nowhere close to an avid skier that watch in the Olympics huge fan of Steve Young so that part was easy, but preparing for Lindsay was tough. There were many dynamics of that interview that I had to really think through. You want to get both of them to converse, you know, he's She's 34 he's 55. You want to get them to really feel like it's a good and I think it kind of played out well. >> You were watching videos. A great prep. Congratulations >> trying t o show. It's the culture of bringing the humanization aspect of your team about tech for good. Also, you believe in culture, too, and I don't get your thoughts on that. You recently promoted one of your person that she has a chief communications Johnstone Johnstone about stars you promote from within. This >> is the >> culture you believe it. Talk about the ethos. Jones is a rock star. We love her. She's just >> hardworking, credible, well respected. Inside VM where and when we had a opening in that area a few months ago, I remember going to the her team meeting and announcing, and the team erupted in cheers. I mean that to me tells me that somebody was well liked from within, respected within and pure level and you know the organization's support for a promotion of that kind of battlefield promotion. It's great big fan of hers, and this is obviously her first show at Vienna. Well, along with Robin, Matt, look. So we kind of both of them as the chief marketing officer, Robin and Jones >> and Robinson story. Low Crawl made her interim first, but they then she became Steve Made it Permanent way. >> Want them to both do well. They have different disciplines. Susan, uh, national does our alliances, you know, if you include my chief of staff for the six of my direct reports are women, and I'm a big believer in more women. And take why? Because I want my Sophia, who's 13 year old do not feel like the tech industry is something that is not welcome to women in tech. So, you know, we really want to see more of them. And I hope that the folks who are reporting to me in senior positions senior vice president is an example can be a role model to other women who are aspiring, say, one day I wanna be like a Jones Stone or Robin. Madam Local Susan Nash, >> John and I both have daughters, so we're passionate about this. Tech is everywhere, so virtually whatever industry they go into. But I've asked this question Sanjay of women before on the Cube. I've never asked him in. And because you have a track record of hiring women, how do you succeed in hiring women? Sometimes way have challenges because way go into our little network. Convenient. What? What's your approach? Gotta >> blow off that network and basically say First off, if that network is only male or sometimes unfortunately white male or just Indian male, which is sometimes the nature of tech I mean, if you're looking for a new position, tell the recruiters to find you something that's different. Find me, Ah woman. Find me on underrepresented minority like an African American Latino and those people exist. You just have a goal. Either build a network yourself. So you've got those people on your radar. We'll go look, and that's more work on us, says leaders. But we should be doing that work. We should be cultivating those people because the more you promote capable. First off, you have to be capable. This is not, you know, some kind of affirmative action away. We want capable people. Someone shouldn't get the job just because they're a woman just because the minority, that's not the way we work. We want capable people to do it. But if we have to go a little further to find them, we'll go do it. That's okay. They exist. So part of my desires to cultivate relationships with women and underrepresented minorities in the world that can actually in the world of tech and maintain those relationships because you never know you're not gonna hire them immediately. But at some point in time, you might need to have them on your radar. >> Sanjay, I wanna ask you a big picture question. I didn't get a chance to ask path this morning. I was at the bar last night just having a little dinner, and I was checking out Twitter. And he said that the time has never been. It's never been a greater time arm or important time to be a technologist. Now I saw that I went interesting. What does that mean? Economic impact, social impact? And I know we often say that, and I don't say this to disparage the comment. It's just to provide historical context and get a get it open discussion about what is actually achievable with tech in this era and what we actually believe. So I started to do some research and I started right down. First of all, I presume you believe that right on your >> trusty napkin at the >> bar. So there has never been a more important time to be a technologist. You know, it's your company at your league. You know, Pat, I presume you agree with it. Yeah, absolutely. I slipped it back to the 1900. Electricity, autos, airplanes, telephones. So you we, as an industry are up against some pretty major innovations. With that historical context, Do you feel as though we can have a similar greater economic and social impact? >> Let's start with economic first and social. Next time. Maybe we should do the opposite, but economic? Absolutely. All those inventions that you >> have are all being reinvented. The technology the airplanes all been joined by software telephones are all driving through, you know, five g, which is all software in the future. So tech is really reinventing every industry, including the mundane non tech industries like agriculture. If you look at what's happening. Agriculture, I ot devices are monitoring the amount of water that should go to particular plant in Brazil, or the way in which you're able to use big data to kind of figure out what's the right way to think about health care, which is becoming very much tech oriented financial service. Every industry is becoming a tech industry. People are putting tech executives on their boards because they need an advice on what is the digital transformations impact on them cybersecurity. Everyone started by this. Part of the reason we made these big moves and security, including the acquisition of carbon black, is because that's a fundamental topic. Now social, we have to really use this as a platform for good. So just the same way that you know a matchstick could help. You know, Warm house and could also tear down the house. Is fire good or bad? That's been the perennial debate since people first discovered fire technology. Is this the same way it can be used? Reboot. It could be bad in our job is leaders is to channel the good and use examples aware tech is making a bit force for good. And then listen. Some parts of it may not be tech, but just our influence in society. One thing that pains me about San Francisco's homelessness and all of the executives that a partner to help rid this wonderful city of homeless men. They have nothing to attack. It might be a lot of our philanthropy that helps solve that and those of us who have much. I mean, I grew up in a poor, uh, bringing from Bangla, India, but now I have much more than I have. Then I grew up my obligations to give back, and that may have nothing to do with Tech would have to do all with my philanthropy. Those are just principles by which I think when you live with your a happier man, happier woman, you build a happier >> society and I want to get your thoughts on common. And I asked a random set of college students, thanks to my son that the network is you said your daughter to look at the key to Pat's King Pat's commentary in The Cube here this morning that was talking about tech for good. And here's some of the comments, but I liked the part about tech for good and humanity. Tech with no purpose is meaningless tech back by purposes. More impactful is what path said then the final comments and Pat's point quality engineering backing quality purpose was great. So again, this is like this is Gen Z, not Millennials. But again, this is the purpose where it's not just window dressing on on industry. It's, you know, neutral fire. I like that argument. Fire. That's a good way Facebook weaponizing Facebook could be good or bad, right? Same thing. But the younger generation. You're new demographics that are coming into cloud. Native. Yeah, what do you think? >> No. And I think that's absolutely right. We have to build a purpose driven company that's purposes much more than just being the world's best softer infrastructure company or being the most profit. We have to obviously deliver results to our shareholders. But I think if you look at the Milton Friedman quote, you know, paper that was written that said, the sole purpose of a company is just making profits, and every business school student is made to read that I >> think even he >> would probably agree that listen today While that's important, the modern company has to also have a appropriate good that they are focused on, you know, with social good or not. And I don't think it's a trade off being able to have a purpose driven culture that makes an impact on society and being profitable. >> And a pointed out yesterday on our intro analysis, the old term was You guys go Oh, yeah, Michael Dell and PAD shareholder value. They point out that stakeholder value, because now the stakeholder Employees and society. So congratulations could keep keep keep it going on the millennial generation. >> Just like your son and our kids want a purpose driven company. They want to know that the company that working for is having an impact. Um, not just making an impression. You do that. It shows like, but having an impact. >> And fire is the most popular icon on instagram. Is that right? Yeah, I know that fire is good. Like your fire. Your hot I don't know. I guess. Whatever. Um fire. Come comment. There was good Sanjay now on business front. Okay, again, A lot of inflection points happen over 10 years. We look back at some of this era, the Abel's relationship would you know about. But they've also brought up a nuance which we talked about on the intro air Watch. You were part of that acquisition again. Pig part of it. So what Nasiriyah did for the networking STD see movement that shaped VM. Whereas it is today your acquisition that you were involved and also shaping the end user computing was also kind of come together with the cloud Natives. >> How is >> this coming to market? I mean, you could get with >> my comparison with carbon black there watch was out of the building. Carbon black is not considered. >> Let's talk about it openly. And we talked about it some of the earnings because we got that question. Listen, I was very fortunate. Bless to work on the revitalization of end user computing that was Turbo charged to the acquisition of a watch. At that time was the biggest acquisition we did on both Nice era and air watch put us into court new markets, networking and enterprise mobility of what we call not additional work space. And they've been so successful thanks to know not just me. It was a team of village that made those successful. There's a lot of parallels what we're doing. Carbon, black and security. As we looked at the security industry, we feel it's broken. I alluded to this, but if I could replay just 30 seconds of what I said on some very important for your viewers to know this if I went to my doctor, my mom's a doctor and I asked her how Doe I get well, and she proposed 5000 tablets to me. Okay, it would take me at 30 seconds of pop to eat a tablet a couple of weeks to eat 5000 tablets. That's not how you stay healthy. And the analogy is 5000 metres and security all saying that they're important fact. They use similar words to the health care industry viruses. I mean, you know, you and what do you do instead, to stay healthy, you have a good diet. You eat your vegetables or fruit. Your proteins drink water. So part of a diet is making security intrinsic to the platform. So the more that we could make security intrinsic to the platform, we avoid the bloatware of agents, the number of different consuls, all of this pleasure of tools that led to this morass. And what happens at the end of that is you about these point vendors, Okay, Who get gobbled up by hardware companies that's happening spattered my hardware companies and sold to private equity companies. What happens? The talent they all leave, we look at the landscape is that's ripe for disruption, much the same way we saw things with their watch. And, you know, we had only companies focusing VD I and we revitalize and innovative that space. So what we're gonna do in securities make it intrinsic and take a modern cloud security company carbon black, and make that part of our endpoint Security and Security Analytics strategy? Yes, they're one of two companies that focus in the space. And when we did air watch, they were number three. Good was number one. Mobile line was number two and that which was number three and the embers hands. We got number one. The perception in this space is common. Lacks number two and crowdstrike number one. That's okay, you know, that might be placed with multiple vendors, but that's the state of it today, and we're not going point against Crowdstrike. Our competition's not just an endpoint security point to a were reshaping the entire security industry, and we believe with the integration that we have planned, like that product is really good. I would say just a cz good upper hand in some areas ahead of common black, not even counting the things we're gonna integrate with it. It's just that they didn't have the gold market muscle. I mean, the sales and marketing of that company was not as further ahead that >> we >> change Of'em where we've got an incredible distribution will bundle that also with the Dell distribution, and that can change. And it doesn't take long for that to take a lot of customers here. One copy black. So that's the way in which we were old. >> A lot of growth there. >> Yeah, plenty of >> opportunity to follow up on that because you've obviously looked at a lot of companies and crowdstrike. I mean, huge valuation compared to what you guys paid for carbon black. I mean, >> I'm a buyer. I mean, if I'm a buyer, I liked what we paid. >> Well, I had some color to it. Just when you line up the Was it really go to market. I mean some functions. Maybe not that there >> was a >> few product gaps, but it's not very nominal. But when you add what we announced in a road map app, defensive alderman management, the integration of works based one this category is gonna be reshaped very quickly. Nobody, I mean, the place. We're probably gonna compete more semantic and McAfee because most of those companies that kind of decaying assets, you know, they've gotten acquired by the companies and they're not innovating. So I'd say the bulk of the market will be eating up the leftover fossils of those sort of companies as as companies decided they want to invest in legacy. Technology is a more modern, but I think the differentiation from Crowdstrike very clear is we integrate these, these technology and the V's fear. Let me give an example. With that defense, we can make that that workload security agent list. Nobody can do that. Nobody, And that's apt defense with carbon black huge innovation. I described on stage workspace one plus carbon black is like peanut butter and jelly management. Security should go together. Nobody could do that as good as us. Okay, what we do inside NSX. So those four areas that I outlined in our plans with carbon black pending the close of the transaction into V sphere Agent Lis with workspace one unified with NSX integrated and into secure state, You know, in the cloud security area we take that and then send it through the V m. Where the devil and other ecosystem channels like you No idea. Security operative CDW You know, I think Dimension data, all the security savvy partners here. I think the distribution and the innovation of any of'em were takes over long term across strike may have a very legitimate place, but our strategy is very different. We're not going point tool against 0.0.2 wish reshaping the security industry. Yeah, What platform? >> You're not done building that platform. My obvious question is the other other assets inside of Arcee and secureworks that you'd like to get your hands on. >> I mean, listen, at this point in time, we are good. I mean, it's the same thing like asking me when we acquired air watching. Nice Here. Are you gonna do more networking and mobility? Yeah, but we're right now. We got enough to Digest in due course you. For five years later, we did acquire Arkin for network Analytics. We acquired fellow Cloud for SD when we're cloud recently, Avi. So the approach we take a hammer to innovations first. You know, if you're gonna have an anchor acquisition, make sure it's got critical mass. I mean, buying a small start up with only 35 people 10 people doesn't really work for us. So we got 1100 people would come back, we're gonna build on it. But let's build, build, build, build, partner and then acquire. So we will partner a lot with a lot of players. That compliment competition will build a lot around this. >> And years from now, we need >> add another tuck in acquisition. But we feel we get a lot in this acquisition from both endpoint security and Security Analytics. Okay, it's too early to say how much more we will need and when we will need that. But, you know, our goal would be Let's go plot away. I have a billion dollar business and then take it from there. >> One more security question, if I may say so. I'm not trying to pit you against your friends and AWS. But there are some cleared areas where your counter poise >> Stevens just runs on eight of us comin back. >> That part about a cloud that helps your class ass business. I like the acquisition. But Steven Schmidt, it reinforced the cloud security conference, said, You know, this narrative in the industry that security is broken is not the right one. Now, by the way, agree with this. Security's a do over pat kill singer. And we talked about that for five years ago. Um, but then in eight of you says the shared security model, when you talk to the practitioners like, yeah, they they cover, that's three and compute. But we have the the real work to d'oh! So help me square that circle. >> Yeah, I think if aws bills Security Service is that our intrinsic to their platform and they open up a prize, we should leverage it. But I don't think aws is gonna build workload security for azure compute or for Gogol compute. That's against the embers or into the sphere. Like after finishing third accordion. And they're like, That's not a goal. You go do it via more So from my perspective. Come back to hydrogen. 80. If there's a workload security problem that's going to require security at the kernel of the hyper visor E C to azure compute containers. Google Compute. >> Who's gonna do >> that? Jammer? Hopefully, hopefully better than because we understand the so workloads. Okay, now go to the client site. There's Windows endpoints. There's Mac. There's Lennox. Who should do it? We've been doing that for a while on the client side and added with workspace one. So I think if you believe there is a Switzerland case for security, just like there was a Switzerland case for management endpoint management I described in Point management in Point Security going together like peanut butter and jelly, Whatever your favorite analogy is, if we do that well, we will prove to the market just like we did with their watch An endpoint management. There is a new way of doing endpoint security. Dan has been done ever before. Okay, none >> of these >> guys let me give an example. I've worked at Semantic 15 years ago. I know a lot about the space. None of these guys built a really strategic partnership with the laptop vendors. Okay, Del was not partnering strategically on their laptops with semantic micro. Why? Because if this wasn't a priority, then they were, you know, and a key part of what we're doing here is gonna be able to do end point management. And in point security and partner Adult, they announced unified workspace integrated into the silicon of Dell laptops. Okay, we can add endpoint security that capability next. Why not? I mean, if you could do management security. So, you know, we think that workspace one, we'll get standing toe work space security with the combination of workspace one and security moving and carbon black. >> Sanjay, we talked about this on our little preview and delivery. Done us. We don't need to go into it. The Amazon relationship cleared the way for the strategy in stock price since October 2016 up. But >> one of the >> things I remember from that announcement that I heard from the field sales folks that that were salespeople for VM wear as well as customers, was finally clarity around. What the hell? We're doing the cloud. So I bring up the go to market In the business side, the business results are still strong. Doing great. You guys doing a great job? >> How do you >> keep your field troops motivated? I know Michael Dell says these are all in a strategy line. So when we do these acquisitions, you >> had a lot >> of new stuff coming in. I mean, what's how do you keep him trained? Motivated constantly simplifying whenever >> you get complex because you add into your portfolio, you go back and simplify, simplify, simplify, make it Sesame Street simple. So we go back to that any cloud, any app, any device diagram, if you would, which had security on the side. And we say Now, let's tell you looking this diagram how the new moves that we've made, whether it's pivotal and what we're announcing with tanz ou in the container layer that's in that any Apple air carbon black on the security there. But the core strategy of the emer stays the same. So the any cloud strategy now with the relevance now what, what eight of us, Who's our first and preferred partner? But if you watched on stage, Freddie Mac was incredible. Story. Off moving 600 absent of the N word cloud made of us Fred and Tim Snyder talked about that very eloquently. The deputy CTO. They're ratty Murthy. CTO off Gap basically goes out and says, Listen, I got 800 APS. I'm gonna invest a lot on premise, and when I go to the cloud, I'm actually going to Azure. >> Thanks for joining you. Keep winning. Keep motivated through winning >> and you articulate a strategy that constantly tells people Listen. It's their choice of how they run in the data center in the cloud. It's their choice, and we basically on top of all of those in the any cloud AP world. That's how we play on the same with the device and the >> security. A lot of great things having Sanjay. Thanks >> for you know what a cricket fan I am. Congratulations. India won by 318 goals. Is that >> what they call girls run against the West Indies? I think you >> should stay on and be a 40 niner fan for when you get Tom baseball get Tom Brady's a keynote will know will be in good Wasn't Steve Young and today love so inspirational and we just love them? Thank you for coming on the Cube. 10 years. Congratulations. Any cute moments you can point out >> all of them. I mean, I think when I first came to, I was Who's the d? I said ASAP, like these guys, John and Dave, and I was like, Man, they're authentic people. What I like about you is your authentic real good questions. When I came first year, you groomed me a lot of their watch like, Hey, this could be a big hat. No cattle. What you gonna do? And you made me accountable. You grilled me on eight of us. You're grilling me right now on cloud native and modern, absent security, which is good. You keep us accountable. Hopefully, every you're that we come to you, we want to show as a team that we're making progress and then were credible back with you. That's the way we roll. >> Sanjay. Thanks for coming. Appreciate. Okay, we're live here. Stay with us for more of this short break from San Francisco v emerald 2019

>> from Seattle Washington. It's the Q covering AWS. Imagine nonprofit brought to you by Amazon Web >> service is >> Hey, welcome back already. Jeffrey here with the Cube were in >> the waterfront, actually in Seattle, Washington. It's an absolutely gorgeous August day. We're here for the AWS. Imagine nonprofit event. It's the fourth year they've had. It is the first year's been kind of open to the public. It was invitation only. And we're excited to be here for our first time. Our >> guest is here for his first time, too. And >> we're excited to sit down with side L. Nash. He is the vice president. And of I t and C i o for the National Council on Aging. Say great to see you. >> Thank you. Good to see you. Yeah. So, first >> off, just kind of impressions on the event So far. Really good keynotes this morning. And they got a full two days planned for you. >> Yes, it was an excellent good note. Keynote speaks to the speech this morning and, uh, started off talking about impact and how nonprofit organizations make it make a difference in the world. >> Right. So National Council of Aging, the population is aging Maur Every day they keep sending me my my card in the mail that keep pretending I'm not old enough to get. But >> don't try to pretend exactly they are >> double AARP. Thank you very much for the car, but, um, there's a lot of unique challenges with as the population continues to get holding. What are some of your organisation's priorities? How do you address this kind of growing population in our society? >> So I'll share with you some statistics on aging. So there are about 72,000,060 and older adults in the U. S. 70 >> 1,000,000 to three on its growing >> and growing. It will be 92,000,000 in 2030. So it's a growing larger segment of the population. People are living longer, saving less about but half of those so are 60 plus have saving off about $30,000 about 80% off 60 plus have about maybe to chronic disease conditions. So people are living longer, saving less money, and obviously with that, there are a lot of challenges, and this is where we step in. So we step in. Our mission is to help people age healthier and wealthier, try to make sure that they planned correctly for their savings. And they plan correctly also for their convention there chronic diseases and managing their health in general. And so for that, we have a lot off just products, actually that help older adults figuring out there how to live in older and healthy life. One of them is our flagship product, helping people get access to ah, federal, state and local government benefits. It's called benefits. Checkup is the largest system decision support system in the country that helps older adults figuring out how what benefits take all 54 and how to apply. And we walked them through that whole process. >> So it's also not necessarily the most technically astute population, either, especially today seniors who didn't grow up his digital natives like a lot of the kids are today. And >> as you said, your your guys >> objective number one is economic security. Maybe not necessarily number one, but top of the list and then healthy living. And they don't have the benefit of of time for therefore one case and stuff to grow. So these air pretty unique challenges. How are you helping him? And then you know we're here in eight of us. What role has eight of us played in helping you reach your your constituent? >> Clear? You're asking a lot of questions in one. So let me try and answer them one by one. So let's take a >> look at the aging population, especially the older adults. 70 plus those who actually don't have. Ah, I don't know. They're not necessity technology savvy, but they have Ah, they have cell phone. It's over. 73% of them have cell phones and some have smartphones. S o. We looked at the different ways of trying to reach out to them. And one of the things that we experimented with is looking at an SMS texting pilot. So we actually started that pilot and was very successful. And well, now we're rolling out into a full production system. It's a we found out that it's a great channel. It's very simple asking simple questions. Did you apply yes or no? Just answer us if you were to do one or two. So tell us give us a very simple answer and we found that the engagement rates are way above the average industry. People tend to respond to text messages for better than actually telling them. Hey, there's the mobile app. Go download my mobile already So that's one aspect of it on the AWS Sod off it. So when I joined and see away about a year and 1/2 ago, we were in Private Cloud and in that situation we had a lot of single point of failures and disaster recovery was in bad shape. And so we realized that we needed to move into a new and more robust environment, one that solved the single all the risks that we had from disaster recovery. Single point of failures to also being able to innovate quickly and fast. And so we looked that we started the ah migration process to the cloud and we ended up on AWS back in February. This year would move 95% of our assets to the cloud to AWS Cloud and we medicated the two major risks. The single point of failure is disaster recovery and so on. And with that, we also have a lot of other tools that are out of the box that we're using right now with the AWS platform. >> That's great So, um, I want it back up to the S, the best comic cause That's really interesting. So how do you find your customers? How do you get people get engaged? Obviously, art center the card in the mail. You know, there's a lot of organizations that that we get involved with. How do you directly engage with your clients? >> So we do a lot of digital marketing, believe it or not. So we spent a lot off time money and energy into digital marketing on Facebook. So a good number of older adults are on Facebook. There's also a good percentage of them that are on YouTube. Unfortunately, older adults spend about 46 hours watching either TV or videos on the Web, those who have access to the Web. So that's one way we're trying to reach them. So these are our sort of marketing funnels. In addition to that, we have about close to 100 centers around the U. S. Where older those can actually go in and be helped and go walk through the process of applying for federal state local government benefits. And so we have. They're called benefits benefits centers. And so the those centers are open to the public. We also try to collaborate with different with different organizations around the country, through through whom we get older adults too engage with us and joined the benefits checkup program. And with that, we we ask people to our 10. So we take a very cautious and very respectful approach to data and privacy to ask people to opt in. And we tell them about how we're using the data. We encrypt the data address. We take very caring very good care of it. We don't share it outside of organization. So we have our own internal data privacy principles. So we take this matter very seriously again. Our objectives always the hope older adults live a better, healthier and wealthier life, >> right? I just love that the older people are now using Facebook and SMS like kids. >> 15 years ago, they moved on >> to other platforms. Thank goodness for the old folks keeping the Facebook and, uh >> so let's shift gears. A little >> bit of talk about your transformation in your movement to the cloud. How big of an effort was that? How long did it take? And, you know, hasn't really opened up the innovation because there's clearly cost savings. And as you talked about a single point of failure and kind of mitigating the negatives, but as well as we've seen over and over again, really, the benefits from from Cloud are really that innovation and delivering service is faster. So how's your experience? >> That's exactly right. So So let me talk a little bit about the traditional transformation. So about, I would say, year over year ago, we started our digital transformation initiative. It's really focused on customers, we call it, knowing our customers as individuals with individual needs. Traditionally organizations like ours looked at older adults. In the perspective, off percentages averages, on average is is how old they are on average, in this is their income. On average, this is their health. But in reality, every older adult is an individual that has specific and individual needs, and we need to really take a look at that and caters to those very specific needs that they actually changed over time. So the transformation really enabled it. We needed to move to a cloud where we can have products immediately that we can spend off and use a I machine learning products and so on. And so I'm gonna go back and talking more about our a digital transformation and the perspectives off it. So our objective long term is to build was recalling the the aging Well, aye aye. Engine. It's basically imagine an older adult waking up in the morning and trying to decide what are the top best three things for me to do. Stop the actions for me to do to improve my life. And we wanna help that older adult make those decisions easily and quickly through a frictionless interactions. Frictionless. Conversational. Aye, aye. Speaking to an Alexa like voice enabled smart speaker asking Alexa, what should I do today? Alexis, respond. The weather is nice out there. Call your friend. Go for a walk. Call your doctor, get the lab results and so on. And check your benefits on benefits. Check up and figure out and improve your life. So the idea is to really get the person to actively and the actively using technology and simple, frictionless way to be able to make those decisions that improve their lives. So for us to do this kind of work to build the aging. Well, Aye, aye. Engine. It is impossible without being on a cloud like >> a w. Interesting. So, uh, first time I've heard about Lexus since we've been here. A lot of talk about Lex at the education conference a couple of weeks back. So is Alexa. Pretty key piece of your strategy going forward, you really see voice as a different type of communication. You mentioned. That's a message. Just kind of old, but really effective. How do you see Alexa playing >> so absolutely so voice enabled communication channels. So we look at it as actually we look at our communication with older adults. We look at it as an Army channel communication. Every person have their own preference of the way they interact with technology. Some people prefer SMS. Others like to speak to Alexa. Others like to go through the web and so on. Some are on Facebook or YouTube, etcetera. So each we have our own choices. And that's exactly why we need to look at the older adults as individuals with their individual needs. And then our job is to deliver those to deliver all products through those different channels individually. So delivering the right product with the right customer at the right time and through the right channels. So lax is one of the channels it is. It's not the only channel or the voice channel I would call it is not the only channels. What we found out is that older adults find Alexis is very engaging. It reduces social isolation. It helps with the many other tests, especially for those who are visually inferred. The the complexity. The challenge for older adults is setting it up, so that's what we're trying to look at. Ways of trying to packages will be package so that it is possible for the older adult to plug it in and be able to use it. The other thing that we discovered, we probably need to look at family caregivers as the customer segment of the customer target that we would work with really enable looks, um, >> interesting. Let's see, it seems like a natural fit once you get kind of the tone and the and the comfort worked out, and I would imagine you're writing all types of specific things for to do and types of activities for Alexa to do for the specific needs of this older generation, >> so yeah. So we started >> a very small proof of concept project with Alexa trying to engage an experiment for me, everything that we do has to bring in value. And I need to also make sure that we are when we deliver a product or customers. That product actually delivers that value and engages the customers. So we know that there are there is the value in there were also working with partners on delivering this voice channel. So I know that we have, as a non profit organization with our, you know, a limited resource is. And so we look at partners as a way to enable those votes channels on the different channels that we have >> exciting, exciting times. And I look forward to watching that innovation pulls out at a high rate of speed. So thanks for taking a few minutes and safe travels home. >> Okay. Thank you, Seed. I'm Jeff. You're watching the keyboard aws. Imagine >> in Seattle. Thanks for watching. We'll see you next time

>> live from Las Vegas. It's the queue covering Dell Technologies. World twenty nineteen. Brought to you by Dell Technologies and its ecosystem partners. >> The one Welcome to the Special Cube Live coverage here in Las Vegas with Dell Technologies World 2019. I'm John Furrier with Dave Vellante breaking down day one of three days of wall the wall Coverage - 2 Cube sets. Uh, big news today and dropping here. Dell Technology World's series of announcements Cloud ability, unified work spaces and then multi cloud with, uh, watershed announced with Microsoft support for VMware with Azure are guests here theCUBE alumni that Seo, senior leader of'Em Where Sanjay *** and such a great to see you, >> John and Dave always a pleasure to be on your show. >> So before we get into the hard core news around Microsoft because you and Satya have a relationship, you also know Andy Jassy very well. You've been following the Clouds game in a big way, but also as a senior leader in the industry and leading BM where, um, the evolution of the end user computing kind of genre,  that whole area is just completely transformed with mobility and cloud kind of coming together with data and all this new kinds of applications. The modern applications are different. It's changing the game on how end users, employees, normal people use computing because some announcement here on their What's your take on the ever changing role of cloud and user software? >> Yeah, John, I think that our vision , as  you know, it was the first job I came to do at VMware almost six years ago, to run and use a computing. And the vision we had at that time was that you should be able to work at the speed of life, right? You and I happen to be on a plane at the same time  yesterday coming here, we should be able to pick our amps up on our devices. You often have Internet now even up at thirty thousand feet. In the consumer world, you don't lug around your CDs, your music, your movies come to you. So the vision of any app on any device was what we articulated with the digital workspace We. had Apple and Google very well figured out. IOS later on Mac,  Android,  later on chrome . The Microsoft relationship in end use the computing was contentious because we overlapped. They had a product, PMS and in tune. But we always dreamed of a day. I tweeted out this morning that for five and a half years I competed with these guys. It was always my dream to partner with the With Microsoft. Um, you know, a wonderful person, whom I respect there, Brad Anderson. He's a friend, but we were like LeBron and Steph Curry. We were competing against each other. Today everything changed. We are now partners. Uh, Brad and I we're friends, we'll still be friends were actually partners  now why? Because we want to bring the best of the digital workspace solution VMware brings workspace one to the best of what Microsoft brings in Microsoft 365 , active directory, E3 capabilities around E. M. S and into it and combined those together to help customers get the best for any device. Apple, Google and Microsoft that's a game changer. >> Tell about the impact of the real issue of Microsoft on this one point, because is there overlap is their gaps, as Joe Tucci used to say, You can't have any. There's no there's no overlap if you have overlapped. That's not a >> better to have overlapped and seems right. A gaps. >> So where's the gaps? Where this words the overlapping cloud. Next, in the end user world, >> there is a little bit of overlap. But the much bigger picture is the complementarity. We are, for example, not trying to be a directory in the Cloud That's azure active directory, which is the sequel to Active Directory. So if we have an identity access solution that connect to active directory, we're gonna compliment that we've done that already. With Octo. Why not do that? Also inactive Directory Boom that's clear. Ignored. You overlap. Look at the much bigger picture. There's a little bit of overlap between in tune and air Watch capabilities, but that's not the big picture. The big picture is combining workspace one with E. M s. to allow Office 365 customers to get conditional access. That's a game, so I think in any partnership you have to look past, I call it sort of these Berlin Wall moments. If the U. S and Soviet Union will fighting over like East Germany, vs West Germany, you wouldn't have had that Berlin wall moment. You have to look past the overlaps. Look at the much bigger picture and I find the way by which the customer wins. When the customer wins, both sides are happy. >> Tearing down the access wall, letting you get seamless. Access the data. All right, Cloud computing housely Multi cloud announcement was azure something to tell on stage, which was a surprise no one knew was coming. No one was briefed on this. It was kind of the hush hush, the big news Michael Delll, Pat Girl singer and it's nothing to tell up there. Um, Safia did a great job and really shows the commitment of Microsoft with the M wear and Dell Technologies. What is this announcement? First, give us your take an analysis of what they announced. And what does it mean? Impact the customers? >> Yeah, listen, you know, for us, it's a further That's what, like the chess pieces lining up of'Em wars vision that we laid up many years for a hybrid cloud world where it's not all public cloud, it isn't all on premise. It's a mixture. We coined that Tom hybrid loud, and we're beginning to see that realize So we had four thousand cloud providers starting to build a stack on VM, where we announced IBM Cloud and eight of us. And they're very special relationships. But customers, some customers of azure, some of the retailers, for example, like Wal Mart was quoted in the press, released Kroger's and some others so they would ask us, Listen, we're gonna have a way by which we can host BMO Workloads in there. So, through a partnership now with Virtue Stream that's owned by Dell on DH er, we will be able to allow we, um, where were close to run in Virtue Stream. Microsoft will sell that solution as what's called Azure V M, where solutions and customers now get the benefit of GMO workloads being able to migrate there if they want to. Or my great back on the on premise. We want to be the best cloud infrastructure for that multi cloud world. >> So you've got IBM eight of us Google last month, you know, knock down now Azure Ali Baba and trying you. Last November, you announced Ali Baba, but not a solution. Right >> now, it's a very similar solutions of easy solution. There's similar what's announced with IBM and Nash >> So is it like your kids where you loved them all equally or what? You just mentioned it that Microsoft will sell the VM wear on Azure. You actually sell the eight of us, >> so there is a distinction. So let me make that clear because everything on the surface might look similar. We have built a solution that is first and preferred for us. Called were MacLeod on a W s. It's a V m er manage solution where the Cloud Foundation stack compute storage networking runs on a ws bare metal, and V. Ember manages that our reps sell that often lead with that. And that's a solution that's, you know, we announced you were three years ago. It's a very special relationship. We have now customer attraction. We announce some big deals in queue, for that's going great, and we want it even grow faster and listen. Eight of us is number one in the market, but there are the customers who have azure and for customers, one azure very similar. You should think of this A similar to the IBM ah cloud relationship where the V C P. V Partners host VM where, and they sell a solution and we get a subscription revenue result out of that, that's exactly what Microsoft is doing. Our reps will get compensated when they sell at a particular customer, but it's not a solution that's managed by BM. Where >> am I correct? You've announced that I think a twenty million dollars deal last quarter via MacLeod and A W. And that's that's an entire deal. Or is that the video >> was Oh, that was an entirely with a customer who was making a big shift to the cloud. When I talked to that customer about the types of workloads, they said that they're going to move hundreds off their APs okay on premise onto via MacLeod. And it appears, so that's, you know, that's the type of cloud transformation were doing. And now with this announcement, there will be other customers. We gave an example of few that Well, then you're seeing certain verticals that are picking as yours. We want those two also be happy. Our goal is to be the undisputed cloud infrastructure for any cloud, any cloud, any AP any device. >> I want to get your thoughts. I was just in the analysts presentation with Dell technology CFO and looking at the numbers, the performance numbers on the revenue side Don Gabin gap our earnings as well as market share. Dell. That scales because Michael Delll, when we interviewed many years ago when it was all going down, hinted that look at this benefits that scale and not everyone's seeing the obvious that we now know what the Amazon scale winds so scale is a huge advantage. Um, bm Where has scale Amazon's got scale as your Microsoft have scales scales Now the new table stakes just as an industry executive and leader as you look at the mark landscape, it's a having have not world you'd have scale. You don't If you don't have scale, you're either ecosystem partner. You're in a white space. How do companies compete in this market? Sanjay, what's your thoughts on I thinkit's >> Jonah's? You said there is a benefit to scale Dell, now at about ninety billion in revenue, has gone public on their stock prices. Done where Dellvin, since the ideal thing, the leader >> and sir, is that point >> leader in storage leader inclined computing peces with Vienna and many other assets like pivotal leaders and others. So that scale VM, Where about a ten billion dollar company, fifth largest software company doing verywell leader in the softer to find infrastructure leader, then use a computing leader and softer, defined networking. I think you need the combination of scale and speed, uh, just scale on its own. You could become a dinosaur, right? And what's the fear that every big company should have that you become ossified? And I think what we've been able to show the world is that V M wear and L can move with scale and speed. It's like having the combination of an elephant and a cheetah and won and that to me special. And for companies like us that do have scaled, we've to constantly ask ourselves, How do we disrupt ourselves? How do we move faster? How do we partner together? How do we look past these blind spots? How do we pardon with big companies, small companies and the winner is the customer. That's the way we think. And we could keep doing that, you'll say so. For example, five, six years ago, nobody thought of VMware--this is going before Dell or EMC--in the world of networking, quietly with ten thousand customers, a two million dollar run rate, NSX has become the undisputed leader and software-defined networking. So now we've got a combination of server, storage and a networking story and Dell VMware, where that's very strong And that's because we moved with speed and with scale. >> So of course, that came to an acquisition with Nice Sarah. Give us updates on the recent acquisitions. Hep C e o of Vela Cloud. What's happening there? >> Yeah, we've done three. That, I think very exciting to kind of walk through them in chronological order about eighteen months ago was Velo Cloud. We're really excited about that. It's sort of like the name, velocity and cloud fast. Simple Cloud based. It is the best solution. Ston. How do we come to deciding that we went to talk to our partners like t other service providers? They were telling us this is the best solution in town. It connects to the data center story to the cloud story and allows our virtual cloud network to be the best softer. To find out what you can, you have your existing Mpls you might have your land infrastructure but there's nobody who does softer to find when, like Philip, they're excited about that cloud health. We're very excited about that because that brings a multi cloud management like, sort of think of it like an e r P system on top of a w eso azure to allow you to manage your costs and resource What ASAP do it allows you to manage? Resource is for materials world manufacturing world. In this world, you've got resources that are sitting on a ws or azure. Uh, cloud held does it better than anybody else. Hefty. Oh, now takes a Cuban eighty story that we'd already begun with pivotal and with Google is you remember at at PM world two years ago. And that's that because the founders of Cuban eighties left Google and started FTO. So we're bringing that DNA we've become now one of the top two three contributors to communities, and we want to continue to become the de facto platform for containers. If you go to some of the airports in San Francisco, New York, I think Keilani and Heathrow to you'LL see these ads that are called container where okay, where do you think the Ware comes from Vienna, where, OK, and our goal is to make containers as container where you know, come to you from the company that made vmc possible of'Em where So if we popularized PM's, why not also popularised the best enterprise contain a platform? That's what helped you will help us do >> talk about Coburn at ease for a minute because you have an interesting bridge between end user computing and their cloud. The service is micro. Services that are coming on are going to be powering all these APS with either data and or these dynamic services. Cooper, Nettie sees me the heart of that. We've been covering it like a blanket. Um, I'm gonna get your take on how important that is. Because back Nelson, you're setting the keynote at the Emerald last year. Who burn it eases the dial tone. Is Cooper Netease at odds with having a virtual machine or they complimentary? How does that evolving? Is it a hedge? What's the thoughts there? >> Yeah, First off, Listen, I think the world has begun to realize it is a world of containers and V ems. If you looked at the company that's done the most with containers. Google. They run their containers in V EMS in their cloud platform, so it's not one or the other. It's vote. There may be a world where some parts of containers run a bare metal, but the bulk of containers today run and Beyonce And then I would say, Secondly, you know, five. Six years ago, people all thought that Doctor was going to obliterate VM where, But what happened was doctors become a very good container format, but the orchestration layer from that has not become daugher. In fact, Cuban Eddie's is kind of taking a little of the head and steam off Dr Swarm and Dr Enterprise, and it is Cooper Navy took the steam completely away. So Senses Way waited for the right time to embrace containers because the obvious choice initially would have been some part of the doctor stack. We waited as Borg became communities. You know, the story of how that came on Google. We've embraced that big time, and we've stated a very important ball hefty on All these moves are all part of our goal to become the undisputed enterprise container platform, and we think in a multi cloud world that's ours to lose. Who else can do multi cloud better than VM? Where may be the only company that could have done that was Red Hat. Not so much now, inside IBM, I think we have the best chance of doing that relative. Anybody else >> Sanjay was talking about on our intro this morning? Keynote analysis. Talking about the stock price of Dell Technologies, comparing the stock price of'Em where clearly the analysis shows that the end was a big part of the Dell technologies value. How would you summarize what v m where is today? Because on the Kino there was a Bank of America customers. She said she was the CTO ran, she says, Never mind. How we got here is how we go floors the end wars in a similar situation where you've got so much success, you always fighting for that edge. But as you go forward as a company, there's all these new opportunities you outlined some of them. What should people know about the VM? We're going forward. What is the vision in your words? What if what is VM where >> I think packed myself and all of the key people among the twenty five thousand employees of'Em are trying to create the best infrastructure company of all time for twenty one years. Young. OK, and I think we have an opportunity to create an incredible brand. We just have to his use point on the begins show create platforms. The V's fear was a platform. Innocent is a platform workspace. One is a platform V san, and the hyper convert stack of weeks right becomes a platform that we keep doing. That Carbonetti stuff will become a platform. Then you get platforms upon platforms. One platforms you create that foundation. Stone now is released. ADelle. I think it's a better together message. You take VX rail. We should be together. The best option relative to smaller companies like Nutanix If you take, you know Veum Where together with workspace one and laptops now put Microsoft in the next. There's nobody else. They're small companies like Citrix Mobile. I'm trying to do it. We should be better than them in a multi cloud world. They maybe got the companies like Red Hat. We should have bet on them. That said, the end. Where needs toe also have a focus when customers don't have Dale infrastructure. Some people may have HP servers and emcee storage or Dell Silvers and netapp storage or neither. Dellery emcee in that case, usually via where, And that's the way we roll. We want to be relevant to a multi cloud, multi server, multi storage, any hardware, any cloud. Any AP any device >> I got. I gotta go back to the red hat. Calm in a couple of go. I could see you like this side of IBM, right? So So it looks like a two horse race here. I mean, you guys going hard after multi cloud coming at it from infrastructure, IBM coming at it with red hat from a pass layer. I mean, if I were IBM, I had learned from VM where leave it alone, Let it blossom. I mean, we have >> a very good partisan baby. Let me first say that IBM Global Services GTS is one about top sai partners. We do a ton of really good work with them. Uh, I'm software re partner number different areas. Yeah, we do compete with red hat with the part of their portfolios. Relate to contain us. Not with Lennox. Eighty percent plus of their businesses. Lennox, They've got parts of J Boss and Open Stack that I kind of, you know, not doing so well. But we do compete with open ship. That's okay, but we don't know when we can walk and chew gum so we can compete with Red Hat. And yet partner with IBM. That's okay. Way just need to be the best at doing containing platform is better than open shifter. Anybody, anything that red hat has were still partner with IBM. We have to be able to look at a world that's not black and white. And this partnership with Microsoft is a good example. >> It's not a zero sum game, and it's a huge market in its early days. Talk >> about what's up for you now. What's next? What's your main focus? What's your priorities? >> Listen, we're getting ready for VM World now. You know in August we want to continue to build momentum on make many of these solutions platforms. So I tell our sales reps, take the number of customers you have and add a zero behind that. OK, so if you've got ten thousand customers of NSX, how do we get one hundred thousand customers of insects. You have nineteen thousand customers of Visa, which, by the way, significantly head of Nutanix. How do we have make one hundred ninety thousand customers? And we have that base? Because we have V sphere and we have the Delll base. We have other partners. We have, I think, eighty thousand customers off and use of computing tens of millions of devices. How do we make sure that we are workspace? One is on billion. Device is very much possible. That's the vision. >> I think that I think what's resonating for me when I hear you guys, when you hear you talk when we have conversations also in Pat on stage talks about it, the simplification message is a good one and the consistency of operating across multiple environments because it sounds great that if you can achieve that, that's a good thing. How you guys get into how you making it simple to run I T. And consistent operating environment. It's all about keeping the customer in the middle of this. And when we listen to customs, all of these announcements the partnership's when there was eight of us, Microsoft, anything that we've done, it's about keeping the customer first, and the customer is basically guiding up out there. And often when I sit down with customers, I had the privilege of talking hundreds of thousands of them. Many of these CEOs the S and P five hundred I've known for years from S athe of'Em were they'LL Call me or text me. They want us to be a trusted advisor to help them understand where and how they should move in their digital transformation and compared their journey to somebody else's. So when we can bring the best off, for example, of developer and operations infrastructure together, what's called DEV Ops customers are wrestling threw that in there cloud journey when we can bring a multi device world with additional workspace. Customers are wrestling that without journey there, trying to figure out how much they keep on premise how much they move in the cloud. They're thinking about vertical specific applications. All of these places where if there's one lesson I've learned in my last ten twenty years of it has become a trusted advisor to your customers. Lean on them and they will lean on you on when you do that. I mean the beautiful world of technology is there's always stuff to innovate. >> Well, they have to lean on you because they can't mess around with all this infrastructure. They'LL never get their digital transformation game and act together, right? Actually, >>= it's great to see you. We'Ll see you at PM, >> Rollo. Well, well, come on, we gotta talk hoops. All right, All right, All right, big. You're a big warriors fan, right? We're Celtics fan. Would be our dream, for both of you are also Manny's themselves have a privileged to go up against the great Warriors. But what's your prediction this year? I mean, I don't know, and I >> really listen. I love the warriors. It's ah, so in some senses, a little bit of a tougher one. Now the DeMarcus cousins is out for, I don't know, maybe all the playoffs, but I love stuff. I love Katie. I love Clay, you know, and many of those guys is gonna be a couple of guys going free agents, so I want to do >> it again. Joy. Well, last because I don't see anybody stopping a Celtics may be a good final. That would be fun if they don't make it through the rafters, though. That's right. Well, I Leonard, it's tough to make it all right. That sounds great. >> Come on. Sanjay Putin, CEO of BM Wear Inside the Cube, Breaking down his commentary of you on the landscape of the industry and the big news with Microsoft there. Other partner's bringing you all the action here Day one of three days of coverage here in the Cubicle two sets a canon of cube coverage out there. We're back with more after this short break.

>> Produced from the Cube studios. This's strong by science, in depth conversations about science based training, sports performance and all things health and wellness. Here's your hose, Max Marzo. I'm with >> the one and only Cory Slush Inger Cory is the director of men's sorry, director of performance from men's basketball at Stanford University. Good friend of mine, extremely passionate human. And for those you don't know former college basketball Hooper Corey really happened. Happy on a day to thank you for being here. >> No, man, it's an absolute pleasure. Me, Max. It's It's kind of crazy how our relationship has evolved throughout the years. Ah, start with Diem. You know, that's how it usually goes, the way your T shirt and he's got hair. So I wish I was that God, like I got it down here, but I got it out talk. So don't worry, Max. I'm going to make you a T shirt and I'm sending Teo. You said >> make a T shirt. I >> will wear >> until you plant cast with you again. >> Be careful with the pick. Might be >> way careful with that. Wait. Speaking of that, Corey, I mean, before we went on air here, you have a little story about your beard. And not to say you're only known for the beard, but the beer definitely is a staple in the slashing. Your appearance give me back for that. I want to hear it, and they will dive into some of the science. >> Yeah, man. So as far as the beard, I mean, it started at you. Maybe we're on a Spanish tour went overseas, and I did. One of those crazy handlebar mustache is right. I mean, it was gnarly, but being overseas just didn't shave, right? I mean, we're there for almost a week and a half, and I just started growing out the stubble. And then people are like, keep it going. And so I kept going and we were winning a lot of games. And then we end up winning a championship. And so it became like the tournament beard or became like the season beard. And so I just kept rolling it from there, and yeah, that's that's kind of where the beard is stated for now. And then when I realized, like if I could, it almost looks like a cancer patient. So I needed a key because he's blond eyebrows, man from five feet away. It looks like I'm ball period like I can't grow here. So, yeah, that's where the beard states is at this point. >> Well, Iet's fifty. I'm getting mine going. I'm not going to your caliber. I keep it trimmed, but it makes me feel like I'm a scientist or something. If I have a beard, makes you more intelligent, but getting off the topic here. When it comes to developing anybody, people say, you know, athletes, athletes, athletes athletes are what zero point zero zero one percent of population when it comes to developing anybody at all. We got talking about the bass aspects of human movement human development. You have an interesting take on this, and I don't want to spoil it for the listeners. I'd rather have you say it first, cause I'll just bastardized and screw it up. You're going to take on developing anybody regardless if they're an athlete or just general population, >> right? I mean, if you look through human evolution one or two things that we used to do, I used to farm. We used to kill things with our hands. We used to climb, you know, we used to throw things, you know? I mean, look at the the early Olympics, right? I mean, that's basically what the events wass. He wrestled someone. You ran faster than someone. You ran further than someone, and you threw some things. I and basically that's what human capacity is. So my goal before we actually trained them to be better athletes, is to make them better humans first, because if I can express their ability to be a better human, then they will be able to express their ability to be a better athlete. >> Joshua and with those movements, selections. If you have unique choice food people who don't follow up Instagram better weigh on your instagram handle at the end. But the selections of exercises you pick, it's not traditional a sense. Let's load a bar up. Let's do a hand claim you really take ownership of different shaped objects for that way, whether it be a yoke, whether it be a kettle bell, how do you come up with the most movements? Elections? What goes into that decision making? And for any individual out there, whether they are fast ball player who's seven one or a guy who's five eight, how do you decide which of those implements are best fitted for you? >> Well, everything that shaped the way I believe is one hundred ten percent based off my environment. And look, I played college basketball. Don't look at my stats. I was not that good, but I trained in or I've played with, and now for ten years I've trained that basketball athletic population, so you can imagine with me. Okay, I'm five foot ten. Very average, at best, especially with my links, man. Now imagine six foot six, but a seven foot two weeks man and all those things that I was good at, clean snatched jerk. You know, I was a purist in the beginning. I mean, of course I was right. I was just learning what strength iss How to be strong. Now, I'm trying to imagine further. Like, how do I have impact? How do I have quote unquote transfer? What? I'm trying to load these freaks. I mean, these guys are not normal human beings, right? They got seven foot two wings fans and short torso, so their levers are crazy. So now I'm asking them to do the same things that got me strong. Being at five. Ten, it just doesn't make much sense to me now, Not saying they don't have the capacity to do it mean help. Be honest with you. Some of my best weightlifters actually been seven foot tall, But that being said, if there's a way I can load them, that makes a lot more sense. That's easy to teach. I could do it often, and it's right in their comfort zone now, not comfort as in like we're not training hard, but like in their center of mass, where they can actually manipulate loads heavy loads at that with decent speeds. Then, yeah, I'm going to do that. So, for instance, we look at a bar bell, clean snatches all good. Why can't we do the same intent with a trap door? I mean, we could still pull. We could still triple extend and then we can still catch in that power position. The only thing that changes is the complexity of the movement. Now I'm not manipulating myself around a straight bar bell. It's in my centre of mass. And now I, Khun Express quote unquote force. Ah, lot more efficient, Effective. So now I can load it more loaded faster and do less teaching. Yeah, I do that. That makes a lot of things So that's really what it came from. And then to be honest with you, But how do you experience that light? How do you know a seven foot feels like? How do you know? And so you know, I've dabbled town some ways too. Open up my consciousness, if you will, to allow me to feel that ord, allow the imagination, my creativity to tryto understand what that could feel like. And then, of course, obviously feedback from my athletes. But I mean, why you always see, like the old school dues were just like, Oh, this is weak. This is squad. We we box what we what do we do? Whatever to get strong. But it's like, you know, it makes sense. If you're five foot six, it doesn't make much sense if your seven foot tall so you've got a truly find ways to experience it yourself. And now by the means that you do that probably not going to talk about on this podcast. But the way I did it work. >> Yeah, well, we'll refrain from diving that specific. I'd appreciate it on because to each his own one of the things you mentioned like talking about Hooper's I played basketball. I played your Batch three point shooter. Anyone's listening, too, By the way, when my feet are set, I'm not. I'm not an athlete, but I could shoot the shit out of basketball. I'LL be very blunt with you. I've >> been on the receiving end of that on one of our own game. You don't have to talk when you busted my ask way >> down to like. A lot of basketball players are bad movers, and what I mean by that it's their very good when you put a ball in their hands. That is something you talked about, too. But when you get them in a dance room right there, a lot different than football players and I mean by that is you don't see a bad end zone celebration, right? Want touchdown dances look really good, Odell Beckham being very soon and a lot of it's because those patterns are done without a ball in their hand. This is my opinion and they're very primal and natural with a minute and basketball everything's doing the ball in their hand and then when they start to move, especially because they're developing this, you starts. We're like a third rate. Now they have to only play basketball. And typically you don't play football and basketball, especially football. The high level, because you know you prepping for the basketball season itself. >> You get that deal in Scotland. Shit, bro, >> You have to play basketball for every waking hour the next fifteen years to get there. I'm kidding, but I'm thinking about my head is we're not exposed to those different movement. Parents were stuck in this ninety foot unless you're how light is forty six feet, something like that with court that really constrains how we move. And then you put someone in a waiting room where all the son of dealing with external loads and very unique movement patterns you get guys who just looked walking and I think you talked about this on different podcast, but I want to get into a little bit. Here was, I think so. That stems from our coaching of a young athletes and our physical education that we no longer does. Have we used to have back in the day and how that's really affecting athletes as they get older. >> I couldn't agree more. I mean, I get these quote unquote specialized athletes. And to be honest with you, I don't have athletes like I have guys who have a basketball in their hand. They got really long levers and they have some skill, right? They have some skill to be able to go from point A to point B and put on orange round ball into a cellar. That's that's so happen to be ten foot off the ground. That's what I have. I don't have a true athlete who can pick things up off the floor who could sit down on the floor and stand up, who can throw things who can sprint, who could jump onto things. I mean, some of the best vertical jumps that you see in basketball are not even close to what you would see in football and track and field. When you think this is a sport with the high flyers counter movement, jump hands on hips averages that I've seen on teams eighteen inches and everybody is like Oh, that's terrible But that's a true counter movement jump with long levers. So now if we add some momentum to that and add a seven foot two wingspan and then all of a sudden their elbows above the ramp. Right? So that's the difference we get. We see this a NRI or this false thought, or this false vision of what athleticism is because they're so long. But in reality. And then you put a bunch of cornerbacks out there that would be really special to see, because these are guys that are like five foot ten and the most explosive fast dude you've ever seen. There's don't have the skill to play basketball. So you know, with the way we are, physical education is set up now, obviously has been chopped in half, half, half so no more education. Physical education is what we get to. They only play one sport. They sit in chairs that they're not really made to be. They live in this wart western society where every chair they sit in Is that it? His ninety, which for them is more like this, right? And then they get up and down on these beds that their feet are hanging off of. So I don't know what sleep looks like for that. And if you saw my guys get on an airplane, a commercial airplane, you would be cringing the entire time because they're literally bundled up like this. And so not on ly. Are we trying to correct childhood development? I'm trying to correct what they deal with on a daily basis. Just walking the class. We watching my guys duck through door frames constantly. It is like some some of them are guards and they're ducking through frames. And you're just like I don't know how you've made it this far without knocking yourself out. So there's so many that it's really all about the environment and her. When I've trained my athletes, it's all about giving them the environment they have never had. So that's why we utilize the resting room. The gymnastics room. It's soft had so they know, so they don't necessarily fear the ground. They don't fear their interactions gravity. So now I'm giving them the ability to learn how to change levels. You know, little guys. So I don't see six foot ten guys wrestling, right? So I have an opportunity. Now they learn how to interact and change levels, and then even more so you put somebody with them. So now we're like pushing and pulling, just like you see in football. So now they know where they put their feet. So now we're not stepping on feet constantly looking. I mean, God, Hey, these guys are like because sixteen seventeen shoes like, of course, I'm going to step on each other's speed. But if they have that awareness in that sense of where other people are, then maybe they don't make that misstep. Or maybe they get their self out of harm's way and then even more so just learning how to fall. They learn how to fall properly from standing toe floor transitions. Then, when they jumped through the air at forty two inch words, whatever you see, that's make believe for you. Switch vertical right word, but and then they get hit in the air, and now they've got to figure out the most effective way. Not the break there. Nash. Well, most of the guys are going to do everything they can to stay on their feet. Well, that's where you want to get blown out, right? So now if I can give them a tumbling strategy, so now that they can interact with the floor a lot more smoother, athletic, well, then maybe they have a chance to not get hurt and be be back in the action, right? So it's performance enhancing as well as injury mitigation. >> I >> know that. I mean, I don't know where to begin. I have about nine comments off that. First. I love the idea of talking about how these guys are living in a world built for some one, five, ten. I'm six two and Kelsey, my girlfriend. But, hey, can you reach above and grab the top? Can apostle whatever I'm like? Yeah, Okay. But you look at a guy until you actually play hoops. I think, and really appreciate how big these dudes are. You play. It's a guy who's seven one. You look at him and go, Oh, my gosh, like that's at a different human. And then you know his shoe size next to you and you shake his hand and you get to the other side of his hand. You start to understand, like, who we dealing with here, right? You look at these, you know the body needs to heal when it goes into a stress or whatever, and we're putting these guys in positions that the body would not otherwise deem for recovery right now, like this call. Time out. Is that the funniest thing? MBA timeouts. Aside from LeBron James, that's got the nine foot chair right? These guys come out and these will stools that are too small for meaning, and >> so they're not really >> rusting. And you got a dude who's trying to recover his heart rate, but really the whole time, he's in a hip flexion. He's never been in the past, you know, thirty years, right? And if you're thinking about really taking care of an athlete, we spend so much time in the weight room and all this great stuff we can do. So Muchmore. If we had a liberty, too, I use we usually more like you, um, to you, then develop an environment that conducive to them. I know University. Kentucky did that. If you look at their dorm rooms, they had ESPN going on two years ago when they built at the new facility. For the basketball players, the sinks were higher, the magical tired, they were longer. And if you ever wash a guy who's seven foot dragging on the water fountain, I mean the amount of spinal flexion he has to go under. It's ridiculous. The guy's curling up in a C. And I mean, that's crazy to think about because the whole time on the way we were talking about how do we get these guys in a position that they can function successfully? And right now it's like optimally because obviously would have been something we did fifteen years ago to get in a position, right? But how do we get them to be successful? So I pose the question to your court. I'm gonna give you the keys to the castle. The kingdom. Okay, Philip, um, maybe not the whole environment. But there's three things you like to change the outside of the weight room that you had the crystal ball and you could go either back in time more just socially. Okay. I want to change his guys. You know, the size of his car. You know that the chair he sits and we're three things that you pick and dio >> number one. I would get them involved and dance or martial arts as their first sport. That would be probably number one so or gymnastics something. I don't care how tall you are like Who cares if you're not trying Win a gold medal at three, Right? Is just learning how to do those things right? Understanding your body number two. I would change how physical education is and in western society, um, and then number three. Let's give you something actual physical number three. If I could make what? I >> got some for you. Well, you're thinking, OK, I got you want to think your third for me? Basketball players eat horribly. You're so single, teacher. Yeah, basketball players, at least by team. And I will make this universal blanket statement. They just don't like to eat for some reason. Right? Who for? Three hours and drinking game and call it good. And I don't get it like I have a fat ass. My play. I gained weight in season. Really? Team he'll know what a food I take over which you're pulling their postgame meals. And that's when they remove the snack girl. Remember the snack role when, uh, >> you know, you have todo I had Taco Bell, bro. Like we won. We got talking about, you know? So I asked the level Appalachia, which we suck. >> I think I'm going to go a little. Can't you apologize? We're going to go play and that's a D three hoops. That's finest. We're rolling to a game. It's up north took a four hour drive and we stopped at the rude crib an hour and a half before taking a corner booth buffet of ribs. They got a bunch of island boys here. The rib crib you bring up platters were basically, you know, and capacity. And when they get like five points because our center had to pull out the throat at halftime. >> Yeah, it is. Did you ever have to drive the team ban? Because I have ways in the backseat in the bag who thought that was, like level once again, level athlete, that unreal. But I would say that the third thing Don't be wrong. Yes, food. But if there's a way, I mean, if there's a truly economical way across the board to just look, it got health, we could do that, don't care. But I can change your environment that could change your internal environment and will, And the number one is if I can just poof your gut and I can look at everything, then that will be the number one, because just a little moving world. But I don't know how you're absorbing it. I don't know what's going on. And then you wantto talk about these kids that you know, a phD or these kids that are super restless. Well, I think it starts with the gut, because if you're got health sucks, so does this. So that would be the third thing. >> No, that's crazy That way. May I have a little bit of experience is our company. I don't deal with the actual read now that the things I've learned and seeing the idea of taking that integrated approach. So hey, let's actually look at your stomach. Yes, you have to collect your poop three times a day, and I'm sorry. If you're going to do that, you can start to look at what you produced and way of excreting and whether or not you're absorbing what you need to absorb. And we start looking at injuries and no tendon, health and muscle tissue, everything as a holistic approach. What? We gotta look at the internal environment if any of our environments messed up inside and we're trying to impose a stressor on the body. But we have no idea what the internal systems like, and you have certain deficiencies or certain aspects that your lack and these were certain areas where it again people go, Oh, that's not scientific. There's no study. Well, unfortunately, if you understand complex systems and their dynamic interactions and not to get too detail, I'Ll explain it as simple as I can. But what happens is we have an outcome like a strange angle, and we say, Oh, and go weak angle get hurt, right? Well, kind of grooming. Or maybe it's ankle week. That's a risk factor. Athlete didn't sleep enough the past three nights. Risk factor Athlete had some sort of physical contact during the game. That critter there system risk factor athlete. Nutritionally, it wasn't recovering from previous workouts and games. Risk factors so happens of all these risk factors, and that's just a very there's no all the risk factors. A lot involved, all but these risk factors come about and then we have the probabilistic nature of something toe happen. So oh, how likely is it that something bad will go wrong and we see the last straw on the camel's back sprain an ankle and we go a week. But maybe it's didn't sleep enough Ankle week. All this other stuff and that ankle sprain. For people interested in complex systems, it's called an emergent pattern. So there's a common pattern that occurs when you have things go wrong. So if the money C l it's like, Oh, gluten medias is weak knee Val Agus. All right, you're a muscular control all these things that go into and nothing can pinpoint it. So if we're including these bomber, you know about mechanical factors and Eve Alvis, why aren't we including some internal factors like gut health Or, you know, the blood wood for the micro nutrient efficient season? Yes, I know I'm not versed enough to speak on micronutrient deficiencies and our interactions off, you know, health and whatnot. But something as simple as college in environments haven't adequate vitamin C for, you know, ten and healing instead of, you know, repair is obviously a factor. And so when we start looking the bottom, we gotta look at the big picture. It's not just how your knee bends. It's not how you shoot a jump shot. It's not how you land every time. >> Where are you? Our body is so much more resilient and durable than you. Give it credit for me. We've survived as a species. We're a very long time. You're very harsh conditions and you're going to tell me it's that one jump that got you one job. One job is the one that Oh, that needs a little dalliance. That's the one that got you. I mean, if you super slow mo A lot of these great expressions of physical capacity in sport it was you would be like, Oh, my God, they're neither this there that But in reality, like that's I'm close to the reason why they like break or don't Break. And Jordan shallow, brilliant dude, He gave me this metaphor. He was saying to Philip, a pond, Well, it's like this fungus that will Philip a pond and it doubles its size every day. So if it starts off it like, you know, point two, then the next day be point for and he asked me, he's like, Okay, if it's going to Philip in thirty days, Philip, the whole pond, What's the day? It's half full. Then I thought for a second it took me a lot longer than I should have thought about it. But he's like, but he an injection goes day twenty nine. I >> don't want an answer, by the way. >> Yeah, was like Day twenty nine I. That's why I look at the human body like that is literally the last thing and then pull. And so it's all these. We could have had all these interventions from day to today twenty eight or day twenty nine. Even the notes that one just last. Ah, strong. The camel's back to just there goes, you know, And that's what's great about being in the collegiate setting. And being a Stanford is we have a lot of safety nets for our safety, and that's if you will. So we try to have as many quote unquote KP eyes and objective measurements to give us an idea of what could possibly happen. But in reality, it's still the dynamic environment, so I don't understand. Like I can't account for school. I can't account for their sleep. I mean, we could through, like, grouper or or whatever, but it's not realistic and thine and are setting and in their gut hell's like way picking up poop. Three times a day. They were not drawn blood once. We're not doing these things. So unless we're doing that, then you're just trying to create most resilient, durable human beings so they can withstand the stressors some more than others. But hopefully have a successful season. >> No, that's like I hate to break it to people. We don't know what we're doing. We're doing our best. I think chase Wells with him. A Stanford. Get a great line, he said. We can't guarantee success. We can almost guarantee you're not guaranteed to fail. And what I mean by that is that you can't always KP eyes and really, we're looking at. If you jump nine inches, we're probably not going to be very good basketball unless you're seven. No, right. And so we're looking at the human system as a means of understanding what is going on really lagged behind in regards to your performance assessment and what might be hindering you in regards to launch into no tracking? Can I get a little bit of data? A lot? The way explain it is kind of like I don't ask my girlfriend Kelsey, how she's doing. Once a week, you know. I asked her every day and why I asked that every day is to realize, you know, all my clothes that I left out pissing her off. You know, I did. I forget that we're supposed to go on a date last night. You know, I might not have forgot a wallet last night. We went to dinner from now on, Accent, all supposed to buy. But that's a true story. WeII >> brought up. I mean, that's the most important thing is you gotta have feedback daily, right? And wait here. It's really simple. We take a controlled environment, do some things in it before they go into a dynamic environment, which is basketball games of basketball practice. So what we do is we call that microdot. It's our way of training. Every day, in some form or fashion, these individuals come into their work, their human capacity, a Siri's, if you will. Then after that, they go into their B series, which is complex. This is really what I know what's going on. I don't get me wrong when they walk in to get their weight, are joking or making eye contact and get that handshake. How firm is that handshake thes air, All the quantitative things that I'm trying to pick up as they're coming through the door. Then you watch them say We're hitting clean, complex and they're going through the motions and their consulate changing grip or or the pool isn't looking too good, and any sharp today will boom. That's my control Now. It's not the most objective feedback, but at least it's a constant. And so that's my way of having once against safety nets from a safety nets and then weekly or depending on how many games we have that we do, our force plate jumps. So once again, another safety net, and then we have our connects on day. So our GPS data that they do on the practice gym once again any one of those in isolation doesn't tell me much. But if I have a bunch of them, then I can at least paint a better picture from quantitative qualitative, and then I can go and knit. Pick what I think they're intervention may need to be, and so it's not going to be perfect, not even close, but as long as you have a constant and yours is beautiful. Like you said, Just something simple. You get daily. Hey, how are you doing? And you know how they express that. I'm doing good. I'm doing good. I'm cool. I'm great. Like, you know, what there was in flux is are like, you know what? They're how they're truly feeling. Just based off that one question alone. But once again, if you can set up your system or your program or whatever toe have safety nets for your safety nets, then I think you can You can catch a >> lot of those along the way. >> Yeah. No, that makes sense. It's how you provide context to a situation. And the more information that we can apply that we didn't classifier more to a system like jumping is, you know, your lower body strength and your verbal expressions, your most emotional state on DH, maybe even sweep or other things that go into that, the more we could understand what's actually happening to the person. So I was kind of really bad for a second. You said some of micro dose in and term overdose. You refer into training a little bit often. Yep. And Corey is well known for this and for those at home listening, I'm going to my best to explain it. Short weeks. I got a question off of it. If you know, explains it will stay here for another hour and a half because great to listen to. But I want Teo a little bit of a different direction off of athletics about it. Firstly, micro doses the idea that we're applying a moderate level toe, low level stressor consistently, and that adaptation occurs from the aggravation off those dresses over a period of time. So we're never going to Hi, we're never going to low. And the idea is that training in the weight room is only one small piece of your life. They even programmed High Day, and you don't sleep that night or you have emotional stressor for your case, your practice. Then all of a sudden, that high, big, magnified and starts spilling over the bar and becomes too much the idea of micro dozing, especially a non controlled external environment where it's called life, and we're trying to apply enough that you can handle. If someone's feeling good, then they can push a little bit that they themselves. Now My question for you, Cory, is I love an athletic sense. I also see it being very applicable to anyone out there general population and especially in terms of I got two things. Us too. In terms of one, someone learned a movement. You get a chance to do it often and daily and someone who wants to learn how to be in the weight room. And secondly, because there are, let's say we do it eight out of ten days. If you only miss one day, you're only missing ten percent of your entire workout, right? So instead of doing looking at this whole one workout one day, you look at like a ten day period. If you got eight days of pick from and you just can't do one, you only missed ten percent versus if you only had five days of pick one and you miss one, you missed twenty percent, right? And so now we have the ability to be more flexible in our environment. So how does that fit in like a general population? If it was my dad or my girlfriend trying to learn howto use some of this micro dose in the weight room. How do you plan? >> So one hundred percent with micro dozing. The reason why it came about was it was a solution to a problem. My problem is I don't have enough exposure to my guys. So how do I create more training frequency? And now we got rid of warm up something that was just kind of getting them ready for practice. That kind of don't care about it. The coach hated seen me do it. I personally hated doing it. So now it was a solution. What it turned into was motor learning. Now you want to learn how to train, will do it all the time. So that's where complex comes in. It's the value of orcs work, right? So basically, you take a bar bill and you do every movement that you would do in a weight room, in some sense, in one set, so you'd hinge You do a hip flexion. You do a press, do a pool. If I break down each one of those into isolation, it would look like already else Squad, Polish, military, press or row, those air all movements that you would do and if you separated each exercise in an isolation you would go more resistance on, just like you would see in general fitness, right? Like we're going to do three sets of ten on bench press or three sets a tent on back squad. Well, that's great. How about we just put it all in one and now we have more exposure. So now I'm learning how to do the movements, and then you can't tell me that doing one thing once a week is actually going to make you learn the movement. So now you learn those little small video sequences that you see with thirty year experience power lifters who truly understand, like, move from body, this foot stance, or this is how I start to hinge here within my squat X degree. And that's how they perfected is because they have so much exposure to it. So we're doing the same thing. We're just trying to create exposure at lower thresholds and and in doing it often now as faras general population, what's the number one concern? But I don't have enough time. Oh, really? You don't have a thirty minute today, twenty to thirty minutes a day to not kind ofwork. Now. Every day I call B s. I say You just don't want to train. So that's where my producing to me is beautiful in the general population is because it's living the way you start your day. It's lunch, or it's when you get off work. Perfect. You can pick any of those three slots twenty, thirty minutes. You can eat and shower and get backto work or before work. So you can't tell me that everybody doesn't have that situation. So now, creating training frequency, you're getting enough volume throughout the week. Now we have on and then most importantly, like you brought up if I just had to miss that one day, it's ten percent of my training like it's not well, only train twice a week, So fifty percent of my training is gone. So that's where I think it's beautiful. And that's where he could work from general population to the most elite athletes in the world and the reason why I say the most elite athletes in the world because I just so happen to train to of So I do it with all these populations