>>Hey everyone, welcome to this event, HPE Compute Security. I'm your host, Lisa Martin. Kevin Dee joins me next Senior director, future Surfer Architecture at hpe. Kevin, it's great to have you back on the program. >>Thanks, Lisa. I'm glad to be here. >>One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And if we think of how dramatically the landscape has changed in the last couple of years, I was looking at some numbers that H P V E had provided. Cybercrime will reach 10.5 trillion by 2025. It's a couple years away. The average total cost of a data breach is now over 4 million, 15% year over year crime growth predicted over the next five years. It's no longer if we get hit, it's when it's how often. What's the severity? Talk to me about the current situation with the cybersecurity landscape that you're seeing. >>Yeah, I mean the, the numbers you're talking about are just staggering and then that's exactly what we're seeing and that's exactly what we're hearing from our customers is just absolutely key. Customers have too much to lose. The, the dollar cost is just, like I said, staggering. And, and here at HP we know we have a huge part to play, but we also know that we need partnerships across the industry to solve these problems. So we have partnered with, with our, our various partners to deliver these Gen 11 products. Whether we're talking about partners like a M D or partners like our Nick vendors, storage card vendors. We know we can't solve the problem alone. And we know this, the issue is huge. And like you said, the numbers are staggering. So we're really, we're really partnering with, with all the right players to ensure we have a secure solution so we can stay ahead of the bad guys to try to limit the, the attacks on our customers. >>Right. Limit the damage. What are some of the things that you've seen particularly change in the last 18 months or so? Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? >>Well, there, there's been a massive number of attacks just in the last 12 months, but I wouldn't really say it's so much changed because the amount of attacks has been increasing dramatically over the years for many, many, many years. It's just a very lucrative area for the bad guys, whether it's ransomware or stealing personal data, whatever it is, it's there. There's unfortunately a lot of money to be made into it, made from it, and a lot of money to be lost by the good guys, the good guys being our customers. So it's not so much that it's changed, it's just that it's even accelerating faster. So the real change is, it's accelerating even faster because it's becoming even more lucrative. So we have to stay ahead of these bad guys. One of the statistics of Microsoft operating environments, the number of tax in the last year, up 50% year over year, that's a huge acceleration and we've gotta stay ahead of that. We have to make sure our customers don't get impacted to the level that these, these staggering number of attacks are. The, the bad guys are out there. We've gotta protect, protect our customers from the bad guys. >>Absolutely. The acceleration that you talked about is, it's, it's kind of frightening. It's very eye-opening. We do know that security, you know, we've talked about it for so long as a, as a a C-suite priority, a board level priority. We know that as some of the data that HPE e also sent over organizations are risking are, are listing cyber risks as a top five concern in their organization. IT budgets spend is going up where security is concerned. And so security security's on everyone's mind. In fact, the cube did, I guess in the middle part of last, I did a series on this really focusing on cybersecurity as a board issue and they went into how companies are structuring security teams changing their assumptions about the right security model, offense versus defense. But security's gone beyond the board, it's top of mind and it's on, it's in an integral part of every conversation. So my question for you is, when you're talking to customers, what are some of the key challenges that they're saying, Kevin, these are some of the things the landscape is accelerating, we know it's a matter of time. What are some of those challenges and that they're key pain points that they're coming to you to help solve? >>Yeah, at the highest level it's simply that security is incredibly important to them. We talked about the numbers. There's so much money to be lost that what they come to us and say, is security's important for us? What can you do to protect us? What can you do to prevent us from being one of those statistics? So at a high level, that's kind of what we're seeing at a, with a little more detail. We know that there's customers doing digital transformations. We know that there's customers going hybrid cloud, they've got a lot of initiatives on their own. They've gotta spend a lot of time and a lot of bandwidth tackling things that are important to their business. They just don't have the bandwidth to worry about yet. Another thing which is security. So we are doing everything we can and partnering with everyone we can to help solve those problems for customers. >>Cuz we're hearing, hey, this is huge, this is too big of a risk. How do you protect us? And by the way, we only have limited bandwidth, so what can we do? What we can do is make them assured that that platform is secure, that we're, we are creating a foundation for a very secure platform and that we've worked with our partners to secure all the pieces. So yes, they still have to worry about security, but there's pieces that we've taken care of that they don't have to worry about and there's capabilities that we've provided that they can use and we've made that easy so they can build su secure solutions on top of it. >>What are some of the things when you're in customer conversations, Kevin, that you talk about with customers in terms of what makes HPE E'S approach to security really unique? >>Well, I think a big thing is security is part of our, our dna. It's part of everything we do. Whether we're designing our own asics for our bmc, the ilo ASIC ILO six used on Gen 11, or whether it's our firmware stack, the ILO firmware, our our system, UFI firmware, all those pieces in everything we do. We're thinking about security. When we're building products in our factory, we're thinking about security. When we're think designing our supply chain, we're thinking about security. When we make requirements on our suppliers, we're driving security to be a key part of those components. So security is in our D N a security's top of mind. Security is something we think about in everything we do. We have to think like the bad guys, what could the bad guy take advantage of? What could the bad guy exploit? So we try to think like them so that we can protect our customers. >>And so security is something that that really is pervasive across all of our development organizations, our supply chain organizations, our factories, and our partners. So that's what we think is unique about HPE is because security is so important and there's a whole lot of pieces of our reliance servers that we do ourselves that many others don't do themselves. And since we do it ourselves, we can make sure that security's in the design from the start, that those pieces work together in a secure manner. So we think that gives us a, an advantage from a security standpoint. >>Security is very much intention based at HPE e I was reading in some notes, and you just did a great job of talking about this, that fundamental security approach, security is fundamental to defend against threats that are increasingly complex through what you also call an uncompromising focus to state-of-the-art security and in in innovations built into your D N A. And then organizations can protect their infrastructure, their workloads, their data from the bad guys. Talk to us briefly in our final few minutes here, Kevin, about fundamental uncompromising protected the value in it for me as an HPE customer. >>Yeah, when we talk about fundamental, we're talking about the those fundamental technologies that are part of our platform. Things like we've integrated TPMS and sorted them down in our platforms. We now have platform certificates as a standard part of the platform. We have I dev id and probably most importantly, our platforms continue to support what we really believe was a groundbreaking technology, Silicon Root of trust and what that's able to do. We have millions of lines of firmware code in our platforms and with Silicon Root of trust, we can authenticate all of those lines of firmware. Whether we're talking about the the ILO six firmware, our U E I firmware, our C P L D in the system, there's other pieces of firmware. We authenticate all those to make sure that not a single line of code, not a single bit has been changed by a bad guy, even if the bad guy has physical access to the platform. >>So that silicon route of trust technology is making sure that when that system boots off and that hands off to the operating system and then eventually the customer's application stack that it's starting with a solid foundation, that it's starting with a system that hasn't been compromised. And then we build other things into that silicon root of trust, such as the ability to do the scans and the authentications at runtime, the ability to automatically recover if we detect something has been compromised, we can automatically update that compromised piece of firmware to a good piece before we've run it because we never want to run firmware that's been compromised. So that's all part of that Silicon Root of Trust solution and that's a fundamental piece of the platform. And then when we talk about uncompromising, what we're really talking about there is how we don't compromise security. >>And one of the ways we do that is through an extension of our Silicon Root of trust with a capability called S Spdm. And this is a technology that we saw the need for, we saw the need to authenticate our option cards and the firmware in those option cards. Silicon Root Prota, Silicon Root Trust protects against many attacks, but one piece it didn't do is verify the actual option card firmware and the option cards. So we knew to solve that problem we would have to partner with others in the industry, our nick vendors, our storage controller vendors, our G vendors. So we worked with industry standards bodies and those other partners to design a capability that allows us to authenticate all of those devices. And we worked with those vendors to get the support both in their side and in our platform side so that now Silicon Rivers and trust has been extended to where we protect and we trust those option cards as well. >>So that's when, when what we're talking about with Uncompromising and with with Protect, what we're talking about there is our capabilities around protecting against, for example, supply chain attacks. We have our, our trusted supply chain solution, which allows us to guarantee that our server, when it leaves our factory, what the server is, when it leaves our factory, will be what it is when it arrives at the customer. And if a bad guy does anything in that transition, the transit from our factory to the customer, they'll be able to detect that. So we enable certain capabilities by default capability called server configuration lock, which can ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, swapping out processors, whatever it is, we'll detect if a bad guy did any of that and the customer will know it before they deploy the system. That gets enabled by default. >>We have an intrusion detection technology option when you use by the, the trusted supply chain that is included by default. That lets you know, did anybody open that system up, even if the system's not plugged in, did somebody take the hood off and potentially do something malicious to it? We also enable a capability called U EFI secure Boot, which can go authenticate some of the drivers that are located on the option card itself. Those kind of capabilities. Also ilo high security mode gets enabled by default. So all these things are enabled in the platform to ensure that if it's attacked going from our factory to the customer, it will be detected and the customer won't deploy a system that's been maliciously attacked. So that's got >>It, >>How we protect the customer through those capabilities. >>Outstanding. You mentioned partners, my last question for you, we've got about a minute left, Kevin is bring AMD into the conversation, where do they fit in this >>AMD's an absolutely crucial partner. No one company even HP can do it all themselves. There's a lot of partnerships, there's a lot of synergies working with amd. We've been working with AMD for almost 20 years since we delivered our first AM MD base ProLiant back in 2004 H HP ProLiant, DL 5 85. So we've been working with them a long time. We work with them years ahead of when a processor is announced, we benefit each other. We look at their designs and help them make their designs better. They let us know about their technology so we can take advantage of it in our designs. So they have a lot of security capabilities, like their memory encryption technologies, their a MD secure processor, their secure encrypted virtualization, which is an absolutely unique and breakthrough technology to protect virtual machines and hypervisor environments and protect them from malicious hypervisors. So they have some really great capabilities that they've built into their processor, and we also take advantage of the capabilities they have and ensure those are used in our solutions and in securing the platform. So a really such >>A great, great partnership. Great synergies there. Kevin, thank you so much for joining me on the program, talking about compute security, what HPE is doing to ensure that security is fundamental, that it is unpromised and that your customers are protected end to end. We appreciate your insights, we appreciate your time. >>Thank you very much, Lisa. >>We've just had a great conversation with Kevin Depu. Now I get to talk with David Chang, data center solutions marketing lead at a md. David, welcome to the program. >>Thank, thank you. And thank you for having me. >>So one of the hot topics of conversation that we can't avoid is security. Talk to me about some of the things that AMD is seeing from the customer's perspective, why security is so important for businesses across industries. >>Yeah, sure. Yeah. Security is, is top of mind for, for almost every, every customer I'm talking to right now. You know, there's several key market drivers and, and trends, you know, in, out there today that's really needing a better and innovative solution for, for security, right? So, you know, the high cost of data breaches, for example, will cost enterprises in downtime of, of the data center. And that time is time that you're not making money, right? And potentially even leading to your, to the loss of customer confidence in your, in your cust in your company's offerings. So there's real costs that you, you know, our customers are facing every day not being prepared and not having proper security measures set up in the data center. In fact, according to to one report, over 400 high-tech threats are being introduced every minute. So every day, numerous new threats are popping up and they're just, you know, the, you know, the bad guys are just getting more and more sophisticated. So you have to take, you know, measures today and you have to protect yourself, you know, end to end with solutions like what a AM MD and HPE has to offer. >>Yeah, you talked about some of the costs there. They're exorbitant. I've seen recent figures about the average, you know, cost of data breacher ransomware is, is close to, is over $4 million, the cost of, of brand reputation you brought up. That's a great point because nobody wants to be the next headline and security, I'm sure in your experiences. It's a board level conversation. It's, it's absolutely table stakes for every organization. Let's talk a little bit about some of the specific things now that A M D and HPE E are doing. I know that you have a really solid focus on building security features into the EPIC processors. Talk to me a little bit about that focus and some of the great things that you're doing there. >>Yeah, so, you know, we partner with H P E for a long time now. I think it's almost 20 years that we've been in business together. And, and you know, we, we help, you know, we, we work together design in security features even before the silicons even, you know, even born. So, you know, we have a great relationship with, with, with all our partners, including hpe and you know, HPE has, you know, an end really great end to end security story and AMD fits really well into that. You know, if you kind of think about how security all started, you know, in, in the data center, you, you've had strategies around encryption of the, you know, the data in, in flight, the network security, you know, you know, VPNs and, and, and security on the NS. And, and even on the, on the hard drives, you know, data that's at rest. >>You know, encryption has, you know, security has been sort of part of that strategy for a a long time and really for, you know, for ages, nobody really thought about the, the actual data in use, which is, you know, the, the information that's being passed from the C P U to the, the, the memory and, and even in virtualized environments to the, the, the virtual machines that, that everybody uses now. So, you know, for a long time nobody really thought about that app, you know, that third leg of, of encryption. And so a d comes in and says, Hey, you know, this is things that as, as the bad guys are getting more sophisticated, you, you have to start worrying about that, right? And, you know, for example, you know, you know, think, think people think about memory, you know, being sort of, you know, non-persistent and you know, when after, you know, after a certain time, the, the, you know, the, the data in the memory kind of goes away, right? >>But that's not true anymore because even in in memory data now, you know, there's a lot of memory modules that still can retain data up to 90 minutes even after p power loss. And with something as simple as compressed, compressed air or, or liquid nitrogen, you can actually freeze memory dams now long enough to extract the data from that memory module for up, you know, up, up to two or three hours, right? So lo more than enough time to read valuable data and, and, and even encryption keys off of that memory module. So our, our world's getting more complex and you know, more, the more data out there, the more insatiable need for compute and storage. You know, data management is becoming all, all the more important, you know, to keep all of that going and secure, you know, and, and creating security for those threats. It becomes more and more important. And, and again, especially in virtualized environments where, you know, like hyperconverged infrastructure or vir virtual desktop memories, it's really hard to keep up with all those different attacks, all those different attack surfaces. >>It sounds like what you were just talking about is what AMD has been able to do is identify yet another vulnerability Yes. Another attack surface in memory to be able to, to plug that hole for organizations that didn't, weren't able to do that before. >>Yeah. And, you know, and, and we kind of started out with that belief that security needed to be scalable and, and able to adapt to, to changing environments. So, you know, we, we came up with, you know, the, you know, the, the philosophy or the design philosophy that we're gonna continue to build on those security features generational generations and stay ahead of those evolving attacks. You know, great example is in, in the third gen, you know, epic C P U, that family that we had, we actually created this feature called S E V S N P, which stands for SECURENESS Paging. And it's really all around this, this new attack where, you know, your, the, the, you know, it's basically hypervisor based attacks where people are, you know, the bad actors are writing in to the memory and writing in basically bad data to corrupt the mem, you know, to corrupt the data in the memory. So s e V S and P is, was put in place to help, you know, secure that, you know, before that became a problem. And, you know, you heard in the news just recently that that becoming a more and more, more of a bigger issue. And the great news is that we had that feature built in, you know, before that became a big problem. >>And now you're on the fourth gen, those epic crosses talk of those epic processes. Talk to me a little bit about some of the innovations that are now in fourth gen. >>Yeah, so in fourth gen we actually added, you know, on top of that. So we've, we've got, you know, the sec the, the base of our, our, what we call infinity guard is, is all around the secure boot. The, you know, the, the, the, the secure root of trust that, you know, that we, we work with HPE on the, the strong memory encryption and the S E V, which is the secure encrypted virtualization. And so remember those s s and p, you know, incap capabilities that I talked about earlier. We've actually, in the fourth gen added two x the number of sev v s and P guests for even higher number of confidential VMs to support even more customers than before. Right? We've also added more guest protection from simultaneous multi threading or S M T side channel attacks. And, you know, while it's not officially part of Infinity Guard, we've actually added more APEC acceleration, which greatly benefits the security of those confidential VMs with the larger number of VCPUs, which basically means that you can build larger VMs and still be secured. And then lastly, we actually added even stronger a e s encryption. So we went from 128 bit to 256 bit, which is now military grade encryption on top of that. And, you know, and, and that's really, you know, the de facto crypto cryptography that is used for most of the applications for, you know, customers like the US federal government and, and all, you know, the, is really an essential element for memory security and the H B C applications. And I always say if it's good enough for the US government, it's good enough for you. >>Exactly. Well, it's got to be, talk a little bit about how AMD is doing this together with HPE a little bit about the partnership as we round out our conversation. >>Sure, absolutely. So security is only as strong as the layer below it, right? So, you know, that's why modern security must be built in rather than, than, you know, bolted on or, or, or, you know, added after the fact, right? So HPE and a MD actually developed this layered approach for protecting critical data together, right? Through our leadership and, and security features and innovations, we really deliver a set of hardware based features that, that help decrease potential attack surfaces. With, with that holistic approach that, you know, that safeguards the critical information across system, you know, the, the entire system lifecycle. And we provide the confidence of built-in silicon authentication on the world's most secure industry standard servers. And with a 360 degree approach that brings high availability to critical workloads while helping to defend, you know, against internal and external threats. So things like h hp, root of silicon root of trust with the trusted supply chain, which, you know, obviously AMD's part of that supply chain combined with AMD's Infinity guard technology really helps provide that end-to-end data protection in today's business. >>And that is so critical for businesses in every industry. As you mentioned, the attackers are getting more and more sophisticated, the vulnerabilities are increasing. The ability to have a pa, a partnership like H P E and a MD to deliver that end-to-end data protection is table stakes for businesses. David, thank you so much for joining me on the program, really walking us through what am MD is doing, the the fourth gen epic processors and how you're working together with HPE to really enable security to be successfully accomplished by businesses across industries. We appreciate your insights. >>Well, thank you again for having me, and we appreciate the partnership with hpe. >>Well, you wanna thank you for watching our special program HPE Compute Security. I do have a call to action for you. Go ahead and visit hpe com slash security slash compute. Thanks for watching.

>>Yeah. Welcome back to a W s reinvent 20 twenty-one. This is the live. In addition, the last year, of course, it was virtual. This is probably the most important hybrid event of the year. Over 20,000 people. We have two sets here at the Cube. My name is David. I'm really excited to have Caroline see more on the vice president of product marketing at Serato, which is now an H p e company. And Daniel, who is the director of worldwide partner Essays at A W s. Folks, welcome to the good to see you. >>Yeah, great to be here. So, >>Caroline, you got some news. Why don't we start their hard news? We always like to start with that. >>First of all, I think I just like to talk a little bit about the acquisition because it has been acquired by H. P. And in September, we announced, um, disaster recovery as a service is part of the Green Lake platform. And so that's really exciting. Both from, uh, customers as well is also H B customers. But the innovation continues here at a W s reinvent, we are announcing a new solution 02 in cloud, which is a disaster recovery for Amazon. Easy to, um, and if I think about the value that it brings to the customers, it's delivering orchestrated disaster. Recovery is delivering that simplicity at scale and scale is very important aspect because it will deliver that from tends to thousands of work clothes and as well, it's helping organizations to drive more operational efficiencies around their processes. So that's sort of a nutshell of the news. The cloud for a W s >>great. Thank you for that. So I wanna ask you, obviously, in lock down, people look to the cloud. Uh, and you know, data protection used to be just back up, and then people realize that recovery is important, but it used to be a bolt on an afterthought. You sort of launch the application of the service. And so we got to protect this thing and whatever and throw it on there that that's unacceptable. Today, if you're not going to run your digital business with a bolt on, So what? Our customers telling you in terms of what they want to see from their data protection portfolios and how are you seeing the ecosystem and a W s helping them to integrate that >>absolutely well to your point, the pandemic has absolutely accelerated a lot of businesses movement into the cloud. So companies that hadn't formerly thought about using cloud technologies are now doing that. And for them, in order to have a very simple and easy and scalable data protection solution, is critical for them to feel comfortable into moving into a W s. And so that's what we're seeing from a lot of customers. Um, and of course, back to your point about recovery with the challenges around ransomware, Um, that is definitely an area where a lot of companies have just done their back up. But they're also testing it and making sure that it's something that they know that they can rely on, um, as they moved there, workloads into the club. >>And speaking of ransomware, I mean, it's just front and center. Anybody can be a ransomware. Today they go in the dark web by ransomware service. They put a stick into a server and then bad things happen. Hopefully that that individual ends up in handcuffs, but not always so when we've seen Ransom's getting paid $40 million ransom's multi-million dollar. And we all know about the fact that our front and center So what are you seeing in terms of the customer base? How How h b n z two helping and where does a W s fit? Maybe you could start off Caroline. >>Great question, because I think from the perspective, we look at it from the need for recovery. Uh, strategy as part of your overarching, um, security and prevention is is one aspect that you always need two prevention. But to us, it's a matter of not if you're going to be attacked. It's when and when that gets through your firewall. And so you need to be able to have a recovery strategy in place that allows you to recover in minutes to set to within seconds of when that when an attack actually happens. And, um, I can give a case in, for example, for there's a company 10 Carter Protective fabric, textiles manufacturing company, MULTI-MILLION business. And they suffered to to a tax crypto attack first time, and they were using more traditional, um, back up to take. And it took him two weeks to recover having been attacked, and they suffered significant data loss, and then they deployed photo photo. Um, unfortunately, a little while later, they were attacked a second time with more sophisticated case of So it continues. Um, but this time the recovery was very different. What happened was that they were able to recover within minutes and they had seconds of data loss. And that is because of r c d p technology C D. P. Being continuous data protection. And that is with our replication and a unique journaling capability that allows you to, uh, set up the different checkpoint. So you have thousands of recovery points and you can recover to a specific recovery point with within seconds of that attack. Very, very powerful. >>I wanna ask you a question and what Caroline was just talking about with the classic metrics in this business r P O R T r P o recovery point objective. Always say, how much data do you want to lose? And people say none. Okay, how much? What kind of budget do you have? So that's always been the trade-off, although, as you mentioned, it's getting a little bit more cost-effective and then recovery time objective. How long does it take you to get back up. Absolutely. So so. Those are some of the concepts that you were talking about. I wanna ask you, Daniel, it feels like an Caroline. You feel like data protection is now becoming. It's certainly a tight adjacent to overall security. It's not security per se sick of it, so but it's but it's becoming. The lines are blurring. How do you see that you have a shared responsibility model? Where does this whole topic fit in? >>Well, I think lots of companies are really finding a lot of value in their data, right. Whereas, you know, perhaps years ago it was less. It was easy to hang on to it, to actually make it valuable to do metrics and analytics on it to do machine learning, perhaps on it. And so, by having, um, products such as the product, you know, they're now able to hang on to that data and make sure that they have it in perpetuity so that they can do what they need to do on it. So, yes, we're seeing, you know, companies that were traditionally storage cos thinking about security, security cos thinking about data, so yes, all of those lines are being blurred for sure. And I think that, you know, as far as the short security model we think of the you know, we think of our partners and ourselves, obviously as extensions. And we're really looking to have the best customer experience that we can >>can I think every company security company, Obviously you impact enterprise care a lot about security A W s. I don't know any company because I don't really care about security. That's that's not my swim land out of business. If you If you had that attitude now. So from from your standpoint, where does it fit inside of you know, you're you're thinking, How are you guys thinking about security and data protection? Back up and recovery? Is it all just coming together or they still kind of separate entities? >>No, you're absolutely right. It is coming together, and what we're seeing is we're having a lot more conversations with ISO's, um so the more the security offices of organizations and I think what's happening is that's where the budget is to. And so you're saying they're sort of the working together on the I T and also the Office of Security to um so we're having more conversations there, and we see that, as I mentioned before, the recovery strategy is a key element of our focus. And what we can do is part of the overarching strategy of an organization. >>So what? How should we think about the cloud? Is it another layer of protection? Um, is it a replacement for tape? Maybe not, but we need as much protection as possible. So how should we think about the cloud in the context of data protection? >>Well, the cloud, Yeah, absolutely. Um can provide an alternative to tape or, um disc, for example, of this year. We also added support for a mutability preserved for A W S. With so we are ensuring in the fact that you know you can be changed so that that's absolutely critical. >>So that's a a right once read only technology. That's a service that you tap. So your integrating zero was integrating with that capability. So that's another layer of protection. That's another layer of protection. And then, of course, you know there's there's gaps, is another part of the strategy. So let's talk strategy for a minute. What's the I know it's not one size fits all, but what are you seeing as best practice strategies for customers to protect themselves against traditional just human error? Cyber attacks? What's the what's the sort of prevailing approach? How should we think about that? >>Well, I mean, you're absolutely right. Those the, you know, the filed elections, the database corruptions, and so our solutions, that is, our continuous data protection. It absolutely is, um, the ability to be able to get that granular level of recovery, which you can do with backups. I'm not saying that backup isn't part of your overall strategy, but if you're actually trying to recover quickly and within seconds to whether it's an attack to whether it's a file deleted, a database corruption, you need that continuous data protection. And that's something that you need to us that we've been delivering since the day that um was formed. So >>that's your secret sauce is it is a very granular ability to dial down based on your r p o. That's requirements based on the application requirements, uh, and then bring in the cloud for things like mutability. Maybe gapping. Maybe Last resort is still the last resort. I don't know. Maybe >>there. So, um, you know, a w s to be a target for disaster recovery. So all back up. >>You talk about that? >>Yeah. So, with what we have enabled is first of all, if you want to, um, my great, your work clothes to a W s. And we're seeing an awful lot of that. We provide that capability. So the mobility aspect, if you are looking at instead of an on premises disaster recovery site, you can use a W S D R site. Um, And if you want to back up to a W s and use, um, cost efficient storage, we support that with cloud tearing and mutability. And as I say today, we're announcing cloud for a W s, which is once you've got your work clothes in a W s. We can protect them now in, um, in a W s itself. So the full spectrum. And then earlier this year, we announced for communities for US work clothes, So we're really trying to ensure that we can protect any A W s workload wherever it is. >>So I look around here pretty impressive given that we're in the second year of a pandemic here, pretty packed floor. But the ecosystem is just exploding. That's gonna make you feel good. Cos like choosing to partner with a W s leaning in writing to your cloud-native fooling. Maybe give us the update on how you see this partnership. >>Well, I mean, just to Caroline's earlier point, you can see how Xero is continuing to innovate, right? And that's really key. So, um, having a cloud-native solution and then also having a solution that works for us. We're seeing a lot of companies thinking about containers thinking about server lists. And so, you know, the best partnerships that we have are the ones in which they're innovating with us continuously. And I've known about since I started in 2014. So they've been around for a long time, and they're continuing, um, to do that. And they are working closely with us to do P O. C. D. S. And and to help our customers really get what they need, um, in the data protection space and continuing to innovate, which is >>your customers, they want that they need that your your deep into data protection. Yes. You're scale of cloud But you're not going to have the the capabilities of Stack. So that one plus one hopefully is greater than to How do you where can we find out more information about you know, the new solutions? What's the what's the call to >>action culture as well? A couple of things. We've, uh we just We just launched deserted for a W s hands-on lab. And what that does is allow in your own time in your own environment to be able to try with a W S as a target and back up. Um, so we've just launched that and that enables you to see how it works with a W S. We also have for communities, um, lab as well, so you can see how it works with a K s. Uh, coming soon, we're going to have to in cloud lab that you can actually see how to protect your workload in the cloud in a W s. So those are the really the best ways to be able to Well, for a call to action is try. The lab really is >>awesome. Guys, thanks so much for coming to the Cube. Very important topic and keep up the good work. >>Thank you. Thank you. Very well. So >>we're seeing the evolution of data protection rethinking data protection in 2020. No longer is it a Bolton cloud modernization with deep stacks. Fine granularity for your r p o. But also quick recovery protection from Ransomware. It's a whole new world, and we're here to cover it. My name is David. You're watching the Cube, the leader in high tech coverage. We'll be right back. Yeah, Yeah, yeah. Mm, yeah.

>>you welcome to the cubes, continuing coverage of Splunk dot com. 21 I'm lisa martin of a couple guests here with me. Next talking about Splunk H P E N. Deloitte, please welcome Casey Clark, Managing Director and chief architect at Deloitte and Elias Alanya Master Technologists Office of the North American C T O at H P E. Guys welcome to the program. Great to have you. >>Thank you lisa. It's great to be here. >>Thanks lisa >>Here we still are in this virtual world the last 18 months, so many challenges, some opportunities, some silver linings but some of the big challenges that organizations are facing this rapid shift to remote work. The rapid acceleration In digital transformation ran somewhere up nearly 11 x in the first half of this year alone. Solar winds talk to me about some of the challenges that organizations are facing and how you're helping them deal with that Casey >>we'll start with you So most of our clients as we move to virtual um have accelerated their adoption of multiple cloud platforms. You know, moving into a W S into Azure into google. And one of the biggest challenges is in this distributed environment, they still have significant workloads on prem Part of the workloads are in office 3 65. Part of them are in salesforce part of them they're moving into AWS or big data workloads into google. How do you make this all manageable from both. A security point of view and accelerating threats. Uh make that much worse but also from an operational point of view, you know, how do I do application performance management when I have workloads in the cloud calling. Api is back on prem into the mainframe. How do I make an operationally when I have tons of containers and virtual machines operating out there? So the importance of Splunk and good log management observe ability along with all the security management and the security logs and being able to monitor for your environment in this complex distributed environment is absolutely critical and it's just going to get more complex as we get more distributed. >>How can companies given the complexity? How can companies with these complicated I. T. Landscapes get ahead of some of these issues? >>One of the things that we really focused on making sure that you're getting ahead of those and you know we work with organizations like Splunk and Deloitte is how do we how do we collect all of the data? Not just a little bit of it, you know Splunk, help and Deloitte are helping us look across all of those places. We want to make sure that we can can really ingest everything that's out there and then let the tools like Splunk then use all of that data. We found a lot of organizations really struggle with that and with the retention of that data it's been a challenge. So those are things that we really worked hard on figuring out with organizations out there um how to how to ingest retain and then modernize how they do those things at the same time. >>I was reading the Splunk state of Security report which they surveyed over 500 security leaders I think it was over nine um global economies and they said 78% of security and I. T. Leaders worry 78% that they're going to be hit by something like solar winds. Um That style of attack Splunk saying security is a data problem but also looking at all this talk about being on the defensive and preventing attacks the threat landscape escaping companies also have to plan for growth. They have to plan for agility. How do you both help them accomplished? Both at the same time Casey will start with you. >>Well fundamentally on the security front you start with security by design. You're designing the logging the monitoring the defenses into the systems as they are being designed up front as opposed to adding them when you get to Um you know you 80 or production environment. So security by design much like devops and Fc cops is pushing that attitude towards security back earlier in the process so that each of the systems as we're developing them um have the defenses that are needed and have the logging that are embedded in them and the standards for logging so that you don't just get a lot of different kinds of data you get the data you actually need coming into the system and then setting up the correlation of that data so you can identify those threats early through a i through predictive analytics, you get to identify things more quickly. You know, it's all about reducing cycle times and getting better information by designing it in from the beginning, >>standing in from the beginning that shifting left Elias. What are your thoughts about this, enabling that defense, designing an upfront and also enabling organizations to have the agility to grow and expand? >>Yes, sort of reminded of something our friends with the Blue oval used to say in manufacturing quality isn't inspected, it's built in right and and two cases point you have to build it in. We've we've definitely worked with delight to do that and we've set up systems so that they have true agility. We've done things like container ice block with kubernetes uh you know, work with object storage. A lot of the new modern technologies that maybe organizations aren't quite accustomed to yet are still getting on board with. And so we wrap those up in our HP Green Lake managed services so that we can provide those things to organizations that aren't maybe aren't ready for them yet. But the threat landscape is such that you have to be able to do those things if you're not orchestrating these thousands and thousands of containers with something like kubernetes, it's just it becomes such a manual labor intensive process. And so that that labor intensive, non automated process. That's the thing that we're trying to remove. >>Well that's an inhibitor to growth, right number one there, let's go ahead and dig into the HP. Deloitte Splunk solution case. I'm going to go back over to, you talk to me about kind of the catalyst for developing the solution and then we'll dig into it in terms of what it's delivering. >>So Deloitte has had long term partnerships with both H B E and Splunk and we're very excited about working together with them on this solution. Um the HP Green Light, which is hardware by subscription, the flexibility of that platform, you know, the cost effectiveness of the platform. Be able to run workloads like Splunk on it that are constantly changing. You have peaks and valleys depending on, you know, how much work you're doing, how many logs are coming in and so being able to expand that environment quickly through containerized architecture, Oz Funk, which is what we worked on, um you know, with the HP Green Light team uh and and also with spunk so that we can Federated the workloads and everything that's going on on prem with workloads that are in the cloud and doing it very flexibly with the HP on prim platform as well as, you know, Splunk on google and Azure and Splunk cloud um and then having one pane of glass that goes across all of it has been very exciting. You know, we were getting lots of interest in the demo of what we've done on the Green light platform and the partnership has been going great, uh >>that single pane of glass is so critical. We talked about cloud complexity a few minutes ago, customers are dealing with so many different applications there now in this hybrid multi cloud world, it's probably only going to proliferate, Let's talk to me about H P. S perspective and how you're going to help reduce the cloud complexity that customers in every industry are facing. >>Yeah, so within the HP Green Lake umbrella of portfolio, we have set up our uh admiral container platform, for example, are Green Lake management services. We bring all these things together in a way that that really can accelerate applications uh that can make the magic that Deloitte does work underneath. And so when, when our friends at Deloitte go and build something, someone has to, has to bring that to life, has to run it for for our customers. And so that's what Hb Green Lake does, then we do that in a way that fundamentally aligns to the business cycles that go on. And so, uh you know, we think of cloud as an operating model, not necessarily just a physical destination. And so we work on prem Coehlo public hybrid Green Lake spans across all of those and can bring together in a way that really helps customers. We've seen so many times, they have these silos and islands of data. Um you know, you've got uh data being generated in the cloud. Well, you need Splunk in the cloud, you've got the energy generated in uh, Amelia, Well you've got spunk into me and so so Deloitte's really done some great things to help us put that together and then we, we underpin that with the, with the green like uh management services with our software and our infrastructure to make it all >>work. Yeah, Elias, one of the areas that you just mentioned is is one of the hottest trends that we've noticed out there. A lot of clients, you know, with the competition for skilled resources out there on the engineering side and operations are looking at managed services as an option to building, you know, their own technology, you know, hiring their own team, running it themselves and the work that we do with both on the security side as well as operations to provide managed services for our clients in collaboration with companies like HP E and running of the Green Lake platform platforms as well as one cloud, those combined services together and delivered as a managed service uh to our clients is an exciting trend out there that um, is increasingly seen as very cost effective for our clients >>saving cost is key case. I want to get your perspective on what you think differentiates this, this solution, the technology alliance, what are the differentiators in this from Deloitte's lens. >>So bringing the expertise of a company like HP and the flexibility and expand ability of the Green lake platform and the container ization that they've done with Israel, you know, it's, it's bringing that cloud like automation and virtual and flexibility to on uh, the on prem and the hybrid cloud solution combined with Splunk who is rapidly expanding not only what they do in the security space where the constantly changing security landscape out there, but also in observe ability application, performance management, um, Ai ops, um, you know, fully automated and integrated response to operational events that are out there. So HP is doing what they do really well and adapting to this new world. Splunk is constantly changing their products to make it easier for us to go after those operational issues. And Deloitte is coming in with both the industry and the technical experience to bring it all together, you know, how do you log the right things, you know, how do you identify, you know, the real signal versus the noise out there? You know, when you're collecting massive amounts of log data, you know, how do you make it actionable? How can you automate those actions? So by bringing together all three of these berms together, uh we can bring a much better, much, much more effective solutions to our clients in much shorter time frames, >>Shorter time frames are key given that one of the things we've learned in the last 18 months, is that real time is really business critical for companies in every industry unless I want to get your perspective from a technology lens, talk to me about the differentiators here, what this solution is three way alliance brings to your customers. >>Yeah, sure thing. We've done a lot of work with Deloitte and with Intel also on performance optimization, which is, is key for any application and that gets to what I mentioned earlier of bringing more data in some of the work that we've done with until we've able been able to accelerate Are the ingest rate of Splunk by about 17 times, which is pretty incredible. Uh, and that allows us to do more or do more with less and that can help reduce the cost. Also done a lot of work on the, on the setup side. So there's a lot of complexities in running a big enterprise application like Splunk. Um, it does a lot of great things but with that comes some complications for sure. And so, uh, a lot of the work that we've done is to help really make this production ready at scale disaster tolerance and bring all of those things together. And that >>requires a fair amount of >>work on the back end to make sure that we can, we can do that at scale and, and to be a, you know, to run, you know, in a way that businesses of significant size can take advantage of these things without having to worry about what happens if I lose a data center or what happens if I lose a region. Um And and to do those things with absolute assurance >>That's critical case you have a question for you. How will this solution help facilitate one of the positives that we've seen during the last 18 months and that is the strengthening of the IT security relationship. What are your thoughts there? >>I think one of the important things here is that the standardization and automation of what we're what we're bringing together you know so that security can monitor all the different things that are being configured because I can go in and look at the automation that it's creating them. So we have a very dynamic environment now with the new cloud based and virtualized environment so going in and manually configuring anything anymore. It's just not possible. Not when you're managing tens of thousands of servers out there. So security working together very closely with operations and collaborating on that automation so that the managed services are are configured right from the beginning as we talked about security about design. Operations by design in the beginning it's that early collaboration and that shift left that is giving us the very close collaboration that results in good telemetry, good visibility you know good reaction times on the other end. >>That collaboration is something that we've also seen is really a key theme that's emerged I think from all of us in every industry in the last 18 months. And I want to punt the last question to you and that's where can customers go to learn more information? How do they get started with this solution? >>A great way to get started is to reach out to our partners like Deloitte, they can help you on that journey. Hp. Es there, of course. Hp dot com. We have a number of white papers, collateral presentations, reference architecture is you name it, it's out there. But really every organization is unique. Every every challenge that we come up with always requires a little bit of hard thinking and and so that's why we have the partnership >>to be able to work with customers and collaborate. I'll say to really identify what their challenges are, how they help them in this very dynamic. No doubt continuing to be dynamic market. Thank you both so much for joining me talking to me about what Deloitte Splunk NHP are doing, how you're helping customers address that cloud complexity from the security lens, the operations lens. We appreciate your time. >>Thanks lisa. Thank you lisa tonight >>For my guests. I'm Lisa Martin, you're watching the cubes coverage of splunk.com 21. Yeah. Mhm

>>Okay, okay, we're back, you're watching the cubes, continuous coverage of HBs Green Lake announcement. One of the things that we said on the Cuban. We first saw Green Lake was let's watch the pace at which H P E delivers new servants is what's that cadence like? Because that's a real signal as to the extent that the company's leading into the cloud and today we're covering that continued expansion. We're here with Tom Black, who was the general manager of HPC storage and Omar assad, who's the storage platform lead for cloud data services at Hewlett Packard Enterprise gentlemen welcome. It's good to see you. >>Thanks Dave. Thanks for having us today. Good to see you. >>Happy to be here. Dave. >>So obviously a lot has changed globally, but when you think of things like cyber threats, ransomware, uh, the acceleration of business transformation, uh, these are new things, a lot of it is unknown a lot of it was forced upon us tom what are you guys doing to address these trends? How are you helping customers? >>Sure, thanks for the question. So if you think back to what we launched in early May, kind of the initial cloud transformation of what was our traditional storage business. Um, we really focused on one key theme. Very customer and customer driven theme that the cloud operational model has one and that customers want that operational model, whether they're operating their workload in the cloud or whether they're operating that workload in their own facility or Nicolo kind of the same thing. So that was kind of our true north and that's what we launched out of the gate in May. But we did allude in May to the fact that we would have an ongoing series of new services coming out on the uh H B Green Lake edge to cloud platform. And just really excited today to be talking about somewhat that expansion looks like um we will continue uh through this month and through the quarters ahead to really add more and more services in that vein of focusing on bringing that true cloud services model to our customer. So we're really excited today to unveil kind of, we've entered the data protection as a service market with HP Green Lake. So this is really our expansion into a very top of mind topic and set of problems and solutions or headaches and aspirins, to quote an old friend um that Ceos faces, they think about how to manage data through its life cycle in their organization. >>When I talked to see IOS during the pandemic. Not that we're out yet, but really in the throes of it and asked them about things like business resilience that they said, you know, we really had to rethink our disaster recovery strategy. It was it was sort of geared toward a fire or a hurricane and we we just didn't even imagine this type of disaster if you will. So we really needed to rethink it. So when I, I see your disaster recovery as a service and capabilities like that. Is that the Xarelto acquisition? >>Yes. Dave thanks you. So we're super happy to have the Xarelto team now as part of our family. Um, just a brilliant team, a well respected technology, uh, kind of a blue chips at our customers and partners that really appreciate what zero has to offer. Um, as we looked at the data protection as a service market, one of the hardest problems is really in that disaster recovery space, I think Omar's gonna talk a little bit more about today. Um, but sort of really does bring the leading industry, what's called continuous data protection um, capability into our green lake platform. Um, we've just recently closed the acquisition and we're working on kind of integration plan as we speak now that we can actually talk to each other post close. Um, but you'll uh, you'll continue to see, you know, some really exciting milestones each and every quarter as we march forward with certain now as part of the family. >>So we all talk about how data is, is so important. We certainly learned during the pandemic that that if you weren't a digital business, you were out of business and a digital business is a data business. So things like backup data protection as a service become increasingly critical. I know you have some capabilities there maybe you could share with us. >>Absolutely. So you know, one of the things that we noticed was as we took the storage business through its transformation and we started can work you know, with the launch of the electron 90 and the six K platform. We really really brought the cloud operational model to our customers. So one of the things that you know, feedback that was coming loud and clear to us is that as we look at the storage portfolio where we look at file block and object, which are now being transformed into a cloud operational experience, data protection, disaster recovery coming back into business after a disaster snapshot management. All of those capabilities, we still have to rely on our partner technologies in order to do that now. It's not bad that we have great partners in the data protection world, but what we're really focused on is that cloud operational model and cloud operational experience and to and as tom mentioned through the data management life cycle. So as a result of that, we talked to a lot of our customers, we talked to a bunch of partners and one of the things that was coming back was that yes, there are many data protection backup offerings on the market. But that true as a service experience that is completely integrated to the services experience of the storage that the customers is experiencing that is not there. So what we looked at was especially to the largest ecosystem, which is the VM ware ecosystems. So we're launching data protection as a service or backup as a service for our VM ware customers offered from data services, cloud console as a SAAS portal. 100% SAs service, nothing to install. No media servers, no application servers, no catalog servers, no backup targets, no patching, no expansion, no capacity planning. None of that is needed. All that's needed is sign on click. Give your V center credentials and off you go, that's it. That is it three clicks and you're in business. So currently, you know, in our, in our analysis we offer five x faster recovery from any of the competitive offerings that there there there are 3.5 better de doop ratios. But for our customers is as simple as this. VM is protected as this many dollars per gig per month. That's it. No backup target, no media server, no catalogs are nothing nothing to manage total Turkey off of the portal. So that's the cadence of services that if you promise and this is one of the first ones when it comes to data management that is coming out into the open. >>So you may have just answered this question, but I want to pose it and get you maybe just summarize it because tom was talking earlier about the customer mandate for cloud in a cloud operational model. So I want you to explain to the audience how you're making that real >>actually can I start that one should be the test was monday morning. Getting ready for this chat with you Dave they got me on console and I'm not kidding three clicks, I got back up and running off the lab VM ware instance so I'll pass it off to you the real answer. But if I could do it three clicks >>as well as a convenience of this service, even tom can be your back, you might be able to do with this. Uh again, you know, a very important question the when you, when you look at the cloud operational model as you abstracts the hardware and and take the management model up into a SAS service, it gives our customers that access to that continuous delivery access that we have. We're going to continue to make the service medal better in the cloud model and automatically customers get the value of it without even reinstalling or going through a patch cycle or an upgrade cycle. But as we get into this cloud operational model, one of the things that was missing was uh if you if you if you if you start to talk about applications, how our application workloads going to be deployed, how are they going to be protected and how are they going to be expanded? So what we did was we, we expanded our info site offerings by merging them into the data services, cloud console and we're releasing a new service called app insects. It is going to be available to our customers at the end of the month. Uh It is, nothing has to change. They don't have to install any sort of agents or or host modifications, nothing like that. If their customers of electra nimble primary boxes and they're using info site and data services, cloud console, they will automatically get app insights. What Athens sites does is it really teases apart all that data that we have been collecting within foresight and now with the acquisition of HPV cloud physics, we're merging them together and relating the operational stacked top to bottom. So discovering all the way from your application usage, network usage, storage, use it. IOP usage VM values cross, collaborating them and presenting that to a customer from an app or an outcome perspective all in the data services, cloud console. So what this does for our customers is it really really transforms not only their operational experience but also buying experience. Because if you remember in one of the earlier releases of data services cloud console we released this application called, you know, intelligent intent based provisioning in which you just describe your workload and we go ahead and we provision that app insights and info site, feed that information directly into that and cloud physics generates and results and displays those analytics back to us to your partner of record and to the H. B. So we can all come together on a common data driven discussion point with our customers to continue to make their journey better >>tom where's all the boxes, traditional storage is changing. I've actually been waiting for this day for a long, long time. We've certainly seen glimpses of it from the cloud players, but they don't have, you know, super rich portfolio storage portfolio. They're growing now, but this is a really good strong example of a company with a large storage portfolio. That's, I mean I haven't heard the word three power once today. Right. And so what that says to me, that's an indication that you're thinking like a cloud player, can you maybe talk >>to that? Sure. Yeah, we're just tremendously excited about this transformation and really the reception we've got in the market from analysts, from partners, from customers because you're right, you haven't heard us talk about a box at all today. It's really about a block service, a file on the object service, a backup and recovery service, disaster recovery service. That that's that is the the language, if you will of the business problems of our customers not, do they need to pick this widget or that widget. And how many apps can I get here and there? And which did the h a cage protection scheme be that, is that, is our job to manage underneath are true North, which is the cloud operational model. And so that's going to be really how we we've set our course and how we will uh kind of deliver products solutions offers into the market underneath that umbrella, Ultimately, um getting our customers wherever their data is Dave to be able to interact at that service level instead of at that infrastructure box >>level, you've got my attention wherever the data. So that's the north star here is this is, you know, you're not done today obviously, but you've got a vision to bring that to the cloud across clouds on prem out to the edge. That's the abstraction layer that you're gonna build, your hiding all that complexity. That's correct. And that's cloud. The definition of cloud is changing. >>Yeah, >>it's no longer started, it's no longer a remote set of services. Somewhere up in the cloud. It's expanding on prem hybrid across clouds edge >>everywhere. You're exactly right. Dave it is, cloud is more about the experience and the outcome. It gives a customer than actually where the compute or storage is. We've chosen to take a very customer an agnostic position of whether it's, you know, data in your premise, data in your cloud. We're going to help you manage that data and deliver, you know, that data to workloads and analytics, uh, wherever the, wherever the compute needs to be, where the data needs to be. Again, technologies like Xarelto giving instability and move data across clouds from facilities and clouds back and forth. So it's a really exciting new day for HP. Green Lake were just so super happy to bring these technologies out and really continue to follow on the course of doing what we said, we would do >>the new mindset starts there, I guess it's obviously knew certainly new technologies, uh, you're talking about machine intelligence is a metadata challenge. Absolutely. Big time, you know, long term that North Star that we talked about and applying that machine intelligence, all the experience that you gather data that you're gathering is, I think ultimately how customers want you to solve this problem >>in the middle of info site data services, cloud console and the instrumentation that is already shipping on our appliances, both in edge appliances and the data center appliances were collecting more than a trillion data points over the period of a quarter. Right at the end of the day. So it's harnessing that at the back end to cross relate and then using the cloud physics accusation. What we're doing is we can now simulate these things on behalf of our customers into the future timeline. So at the end of the day, it's really about listening to the customer and what outcomes that they want to achieve with their data storage is there we provide excellent persistence layers where customers can store their data safely. But at the end of the day it's customers choice, They can store their data out of the edge in compute servers, commodity servers, X 86 servers, they can have their data in the data center which they are privately owned or their data can be in a service provider or it can be in a hyper secular. The infrastructure of the persistence layer is independent from the data services. Cloud console data services. Cloud console provides our customers with a SAS based industry leading metadata rich management experience, which then allows you to draw conclusions. So services like cloud physics services like uh enforce it, provide the analytics and richness of the metadata, backup and recovery service allows us to index our customers data and add a rich metadata to that and then combine that with xylitol, which is our disaster recovery as a service offering. Going to start over here. That gives the customer a very simple slider as to where they want their protection levels to be, they want their protection to be instant or they want their protection to be lazy eight hours window. But the thing is at the end of the day, it's about choice without managing the complexities of the hardware >>underneath because programmable completely right I come in, what I'm hearing is file object blocks of your multi protocol. I got a full stack so data data reduction, my snaps might replicate whatever whatever I need it in there as a service. I can I can access latency sensitive storage if I need to or I can push it out to cheaper stores. I could push it out to the cloud, presumably I could someday I air gap it uh and it's all done as infrastructure as code and then different protection levels where I see this going. It really gets exciting is you're now a data company and you're bringing ai machine intelligence and driving data products, data services for your customers who are going to monetize that at their end of the value >>chain. That's right. That's right. And safely insecurity. Keeping in mind that was their toes technology. We can give you, you know, small second recovery points to protect against ransomware. So all of that operational elegance, all those insights and intelligence to help you build a more agile, um you know, workloads centric organization, but then to do it safely and securely against ransomware, that's kind of the storm, if you will. That's brewing. And we're just really excited to be at the eye of it. >>I'm excited to. This is uh I've been waiting for this day for a long time and we're not talking about envy, Emmy and Atomic Rights and I love that stuff by the way and I'm sure it's all under the covers, but that's not what drives business value guys. Thanks so much for coming on the Cuban. David. >>Thanks for having us. It's been great. Thank you. >>All right. We're seeing a transformation all through the stack and keep it right there. This is Dave Volonte for the Cuban. Our coverage of HBs Green Lake announcements right back mm mhm

>>Welcome back to the cubes coverage of H P S. Green Lake announcement. We've been following Green Lake and the cadence of announcements making. Now we're gonna talk about ransomware, ransomware become a household term. But what people really don't understand is that virtually any bad actor can become a ransomware criminal by going on the dark web hiring a ransomware as a service sticking, putting a stick into a server and taking a piece of the action and that is a really insidious threat. Uh, the adversaries are extremely capable, so we're going to dig into that with Omar assad, who's the storage platform, lead cloud data services at H P E and Deepak verma vice president of product Zito, which is now an H P E company Gentlemen, welcome to the cube. Good to see you. Thank you. >>Thank you. Welcome. Pleasure to be here. So >>over you heard my little narrative upfront. How does the Xarelto acquisition fit into that discourse? >>Thank you. Dave first of all, we're extremely excited to welcome Sir toe into the HP family. Uh, the acquisition of Puerto expands the Green Lake offerings from H P E uh, into the data protection as a service and ransomware protection as a service capabilities and it at the same time accelerates the transformation that the HP storage businesses going through as it transforms itself into more of a cloud native business, which sort of follows on from the May 4th announcements that you helped us cover. Uh, this enables the HP sales teams to now expand the data protection perimeter and to start offering data protection as a service and ransomware as a service with the best in class technologies uh, from a protection site as well as from ransomware recovery side of the house. And so we're all the way down already trying to integrate uh, you know, the little offerings as part of the Green lake offerings and extending support through our services organization. And the more of these announcements are gonna roll out later in the month. >>And I think that's what you want to see from it as a service offering. You want to see a fast cadence of new services that are not a box by a box that are applying. No, it's services that you want to access. So let's, let's talk about before we get into the tech, can we talk about how you're helping customers deal with ransomware? Maybe some of the use cases that you're seeing. >>First of all, extremely excited to be part of the HP family now. Um, Quick history and that we've been around for about 11 years. We've had about 9000 plus customers and they all benefit from essentially the same technology that we invented 11 years ago. First and foremost, one of the use cases has been continuous data protection. So were built on the CdP platform, which means extremely low RTO S and R P O S for recovery. I'll give you example there um, United Airlines is an application that cost them $1 million dollars for every hour that they're down. They use traditional approaches. That would be a lot of loss with Zito, we have that down two seconds of loss in case and the application goes down. So that's kind of core and fundamental to our plaque. The second uh critical use case that for us has been simplicity. A lot of customers have said we make the difficult, simple. So DRS is a complex uh process. Um, give you an example there. Hcea Healthcare Consolidated four different disaster recovery platforms into a single platform in Puerto and saved about $10 million dollars a year. So it's making that operations of having disaster recovery process is much simpler. Um the third kind of critical use case for us as uh, the environment has evolved as the landscape has involved has been around hybrid cloud. So being able to take customers to the platforms that they want to go to that's critical for us And for our customers an example, there is Kingston technology's so Kingston tried some competitive products to move to Azure, it would take them about 24 hours to recover 30 VMS or so with zero technology. They will get about all their 1000 VMS up in Azure instantaneously. So these are three use cases that were foundational. Built. Built the company in the tech. >>Nice. Thank you. Thank you for that. So simple works well these days, especially with all this complexity we have to deal with. Can we get into the secret sauce a little bit. I mean CdP has been around forever. What do you guys do that? That's different. Maybe you can talk about that. Sure. >>Um it's cdp based, I think we've perfected the technology. It's less about being able to just copy the data. It's more about what you do when things go bump. We've made it simpler with driven economies of scale lower and being platform agnostic. We've really brought that up across to whatever platforms once upon a time it was moving from physical to virtual or even across different virtualization platforms and then being able to move across to whatever cloud platform customer may want or or back >>to cbP continuous data protection by the way for the audience that may not know that go ahead. And >>one of the additional points that I want to add to the box comment over here is the the basics of platform independence is what really drew uh hp technologists into the technology because you know, one of the things we have many, we have the high end platform with the H B electra nine Kv of the electro six kids the midrange platform. Then we have a bunch of file and object offerings on the side. What zero does it University universally applies to all those technologies and along with, you know, as you pair them up with our computer offerings to offer a full stack but now the stack is disaster recovery capable. Natively with the integration of certo, you know, one of the things that, you know, Deepak talked about about the as your migrations that a lot of the customers are talking about cloud is also coming up as a D our use case for a lot of our customers, customers, you know, you know, as we went through thousands of customers interviews one of the, one of the key things that came back was investing in a D our data center which is just waiting there for a disaster to happen. It's a very expensive insurance policy. So absurd. Oh, through its native capabilities allows customers to do is to just use public cloud as a D our target and and as a service, it just takes care of all the format conversions and recoveries and although that's completely automated inside the platform and and we feel that, you know, when you combine this either at the high end of data center storage offering or the middle age offering with this replication, D. R. And ransomware protection built into the same package, working under the same hood, it just simplifies and streamlines the customers deployment. >>Come here a couple of things. So first of all historically, if you wanted to recover to appoint within let's say, you know, 10 seconds, five seconds you have to pay up. Big time. Number one. Number two is you couldn't test your D. R. It was too risky. So people just had it in, they had a checkbox on compliance but they actually couldn't really test it because they were afraid they were going to lose data. So it sounds like you're solving both of those problems or >>or you know we remember the D. R. Test where it was a weekend. It was an event right? It was the event and at the end of july that the entire I. T. Organizing honey >>it's not gonna be home this weekend. Exactly what >>we've changed. That is a click of a button. You can D. R. Test today if you want to you can have disaster recovery still running. You can D. R. Test in Azure bring up your environment an isolated network bubble, make sure everything's running and bring it and bring it down. The interesting thing is the technology was invented back when our fear in the industry was losing a data center was losing power was catastrophic, natural disasters. But the technology has lent itself very well to the new threats which which are very much around ransomware as you mentioned because it's a type of disaster. Somebody's going after your data. Physical servers are still around but you still need to go back to a point in time and you need to do that very quickly. So the technology has really just found itself uh appealing to new challenges. >>If a customer asks you can I really eliminate cyber attacks, where should I put my my if I had 100 bucks to spend. Should I spend it on you know layers and defense should I spend it on recovery. Both, what would you tell them? >>I think it's a balanced answer. I think prevention is 100% impossible. Uh It's really I'd say spend it in in thirds. You want to spend a third of it and and prevention a third of it maybe in detection and then a third of it in uh recovery. So it's really that balancing act that means you can't leave the front door open but then have a lot of recovery techniques invested in. It has to be it has to be a balance and it's also not a matter of if it's a matter of when so we invest in all three areas. Hopefully two of them will work to your advantage. >>You dave you you should always protect your perimeter. I mean that that goes without saying but then as you invest in other aspects of the business, as Deepak mentioned, recovery needs to be fast and quick recovery whether from your recovering from a backup disaster. Are you covering from a data center disaster a corrupted file or from a ransomware attack. A couple of things that zero really stitches together like journal based recovery has been allowed for a while but making journal based recovery platform independent in a seamless fashion with the click of a button within five seconds go back to where your situation was. That gives you the peace of mind that even if the perimeter was breached, you're still protected, you know, five minutes into the problem And, and that's the peace of mind, which along with data protection as a service, disaster recovery as a service and now integrating this, you know, recovery from ransomware along with it in a very simple, easy to consume package is what drew us into the >>more you can do this you said on the use the cloud as a target. I could use the cloud as an air gap if I wanted to. It sounds like it's cloud Native, correct? Just wrap your stack in kubernetes and shove it in the cloud and have a host and say we're cloud to No, really I'm serious. So >>absolutely, we we looked at that approach and that that's where the challenge comes in, Right? So I give you the example of Kingston technology just doesn't scale, it's not fast enough. What we did was developed a platform for cloud Native. We consume cloud services where necessary in order to provide that scalability. So one example in Azure is being able to use scale set. So think about a scenario where you just declare a disaster, you've got 1000 VMS to move over, we can spin up the workers that need to do the work to get 1000 VMS spin them down. So you're up and running instantaneously and that involves using cloud Native uh tools and technologies, >>can we stay on that for a minute, So take take us through an example of what life was like would be like without zero trying to recover and what it's like with Puerto resources, complexity time maybe you could sort of paint a picture. Sure. >>Let me, I'll actually use an example from a customer 10 Kata. They uh develop defensive fabrics, especially fabric. So think about firefighters, think about our men and women abroad that need protective clothing that developed the fibers behave. They were hit by ransomware by crypto locker. That this was before zero. Unfortunately it took they took about a two week uh data loss. It took them weeks to recover that environment, bring it back up and the confidence was pretty low. They invested in, they looked at our technology, they invested in the technology and then they were hit with a different variant of crypto locker immediately. The the IT administrators and the ITS folks there were relieved right, they had a sense of confidence to say yes we can recover. And the second time around they had data loss of about 10 seconds, they could recover within a few minutes. So that's the before and after picture giving customers that confidence to say yep, a breach happened, we tried our best but now it's up to recovery and I can recover without having to dig tapes out from some vault and hopefully have a good copy of data sitting there and then try that over and over again and there's a tolerance right before a time before which business will not be able to sustain itself. So what we want to do is minimize that for businesses so that they can recover as quickly as possible with as little data loss as possible. >>Thank you for that. So, Omar, there's a bigger sort of cyber recovery agenda that you have as part of, of green lake, I'm sure. What, what should we expect, what's next? Where do you want to take this? >>So uh excellent question point in the future day. So one of the things that you helped us, uh you know, unveil uh in May was the data services. Cloud console. Data services. Cloud console was the first uh sort of delivery as we took the storage business as it is and start to transform into more of a cloud native business. We introduced electra uh which is the cloud native hardware with the customers buy for persistent storage within their data center. But then data services, cloud console truly cemented that cloud operational model. Uh We separated the management from, from the devices itself and sort of lifted it up as a sas service into the public, public cloud. So now what you're gonna see is, you know, more and more data and data management services come up on the data services. Cloud console and and zero is going to be one of the first ones. Cloud physics was another one that we we talked about, but zero is the is the true data management service that is going to come up on data services, cloud console as part of the Green Lake services agenda that that HP has in the customer's environ and then you're gonna see compliance as a service. You're going to see data protection as a service. You're gonna see disaster recovery as a service. But the beautiful thing about it is, is choice with simplicity as these services get loaded up on data services, clown console. All our customers instantly get it. There's nothing to install, there's nothing to troubleshoot uh, there's nothing to size. All those capabilities are available on the console, customers go in and just start consuming Xarelto capabilities from a management control plane, Disaster recovery control plan are going to be available on the data services, cloud console, automatically detecting electro systems, rian Bear systems, container based systems, whichever our customers have deployed and from there is just a flip of a button. Another way to look at it is it sort of gives you that slider that you have data protection or back up on one side, you've got disaster recovery on one side, you've got ransomware protection on on the extreme right side, you can just move a slider across and choose the service level that you want without worrying about best practices, installation, application integration. All of that just takes control from the data services, cloud concepts. >>Great, great summary because historically you would have to build that right now. You can buy it as a service. You can programmatically, you know, deploy it and that's a game changer. Have to throw it over the fence to some folks. That's okay. Now, you know, make it make it work and then they change the code and you come back a lot of finger pointing. It's now it's your responsibility. >>Absolutely. Absolutely. We're excited to provide Zito continue provides the desert of customers but also integrate with the Green Green Lake platform and let the rest of Green Lake customers experience some of the sort of technology and really make that available as a service. >>That's great. This is a huge challenge for customers. I mean they do, I pay their ransom. Do not pay the ransom. If I pay the ransom the FBI is going to come after me. But if I don't pay the ransom, I'm not gonna get the crypto key. So solutions like this are critical. You certainly see the president pushing for that. The United States government said, hey, we got to do a better job. Good job guys, Thanks for for sharing your story in the cube and congratulations. Thank >>you. Thank you David. >>All right. And thank you for watching everybody. Uh this is the, I want to tell you that everything that you're seeing today as part of the Green Lake announcement is going to be available on demand as part of the HP discover more. So you got to check that out. Thank you. You're watching the cube. >>Mhm mm.

>>from the cube studios >>in Palo alto in >>boston connecting with thought leaders all around the world. This >>is a cute >>conversation. Hello welcome to the cubes coverage of HPD discovered 2021 virtual. I'm john for your host of the cube we're here with CUBA alumni. One of the original cube guests 2020 11 back in the day kurt president and chief architect of Hewlett Packard labs. He's also a Hewlett Packard enterprise fellow and vice president. Great to see you and you're in Vegas. I'm in Palo Alto. We've got a little virtual hybrid going on here. Thanks for spending time. >>Thanks john it's great to be back with you >>so much going on. I love to see you guys having this event kind of everyone in one spot. Good mojo. Great CHP, you know, back in the saddle again. I want to get your, take, your in the, in the, in the action right now on the lab side, which is great disruptive innovation is the theme. It's always been this year, more than ever coming out of the pandemic, people are looking for the future, looking to see the signs, they want to connect the dots. There's been some radical rethinking going on that you've been driving and in the labs, you hope you look back at last, take us through what's going on, what you're thinking, what's the, what's the big trends? >>Yeah, John So it's been interesting, you know, over the last 18 months, all of us had gone through about a decade's worth of advancement in decentralization, education, healthcare, our own work, what we're doing right now suddenly spread apart. Uh, and it got us thinking, you know, we think about that distributed mesh and as we, as we try and begin to return to normal and certainly think about all that we've lost, we want to move forward, we don't want to regress. And we started imagining, what does that world look like? And we think about the world of 20 2500 and 35 zeta bytes, 100 and 50 billion connected things out there. And it's the shape of the world has changed. That's where the data is going to be. And so we started thinking about what's it like to thrive in that kind of world. We had a global Defense research institute came to us, Nasa's that exact question. What's the edge? What do we need to prepare for for this age of insight? And it was kind of like when you had those exam questions and I was one of those kids who give you the final exam and if it's a really good question, suddenly everything clicked. I understood all the material because there was that really forcing question when they asked us that for me, it it solidified what I've been thinking about all the work we've done at labs over the last the last 10 years. And it's really about what does it take to survive and thrive. And for me it's three things. One is, success is going to go to whoever can reason over more information, who can gain the deepest insights from that information in time that matters and then can turn that insight into action at scale. So reason, insight and action. And it certainly was clear to me everything we've been trying to push for in labs, all those boundaries. We've been pushing all those conventions we've been defying are really trying to do that for, for our customers and our partners to bring in more information for them to understand, to be able to allow them to gain insight across departments across disciplines and then turn that insight into action at scale where scale is no longer one cloud or one company or one country, let alone one data center >>lot there. I love the dot I love that metadata and meta reasoning incites always been part of that. Um and you mentioned decentralization. Again, another big trend. I gotta ask you where is the big opportunity because a lot of people who are attending discover people watching are trying to ask what should they be thinking about. So what is that next big opportunity? How would you frame that and what should attendees look for coming out at HP discover. >>So one thing we're seeing is that this is actually a ubiquitous trend, whether we're talking about transportation or energy or communications, they all are trying to understand and how will they admit more of that data to make those real time decisions? Our expectation in the middle of this decade when we have the 125 petabytes, You know, 30% of that data will need real time action out of the edge where the speed of light is now material. And also we expect that at that point in time three out of four of those 185 petabytes, they'll never make it back to the data center. So understanding how we will allow that computation, that understanding to reach out to where the data is and then bringing in that's important. And then if we look at at those, all of those different areas, whether it's energy and transportation, communications, all that real time data, they all want to understand. And so I I think that as many people come to us virtually now, hopefully in person in the future when we have those conversations that labs, it's almost immediate takes a while for them and then they realize away that's me, this is my industry too, because they see that potential and suddenly where they see data, they see opportunity and they just want to know, okay, what does it take for me to turn that raw material into insight and then turn that insight into >>action, you know, storage compute never goes away, it gets more and more, you need more of it. This whole data and edge conversations really interesting. You know, we're living in that data centric, you know, everyone's gonna be a date a couple, okay. That we know that that's obvious. But I gotta ask you as you start to see machine learning, um cloud scale cloud operations, a new Edge and the new architecture is emerging and clients start to look at things like AI and they want to have more explain ability behind I hear that all the time. Can you explain it to me? Is there any kind of, what is it doing? Good as our biases, a good bad or you know, is really valuable expect experimental experiential. These are words are I'm hearing more and more of >>not so much a speeds >>and feeds game, but these are these are these are these are outcomes. So you got the core data, you've got a new architecture and you're hearing things like explainable ai experiential customer support, a new things happening, explain what this all means, >>You know, and it's it's interesting. We have just completed uh creating an Ai ethical framework for all of Hewlett Packard enterprise and whether we're talking about something that's internal improving a process, uh something that we sell our product or we're talking about a partnership where someone wants to build on top of our services and infrastructure, Build an AI system. We really wanted to encompass all of those. And so it was it was challenging actually took us about 18 months from that very first meeting for us to craft what are some principles for us to use to guide our our team members to give them that understanding. And what was interesting is we examined our principles of robustness of uh making sure they're human centric that they're reliable, that they are privacy preserving, that they are robust. We looked at that and then you look at where people want to apply these Ai today's AI and you start to realize there's a gap, there's actually areas where we have a great challenge, a human challenge and as interesting as possibly efficacious as today's A. I. S. R. We actually can't employ them with the confidence in the ethical position that we need to really pull that technology in. And what was interesting is that then became something that we were driving at labs. It began gave us a viewpoint into where there are gaps where, as you say, explica bility, you know, as fantastic as it is to talk into your mobile phone and have it translated into another one of hundreds of languages. I mean that is right out of Star trek and it's something we can all do. And frankly, it's, you know, we're expecting it now as efficacious as that is as we echo some other problems, it's not enough. We actually need to be explainable. We need to be able to audit these decisions. And so that's really what's informed now are trustworthy ai research and development program at Hewlett Packard Labs. Let's look at where we want to play. I I we look at what keeps us from doing it and then let's close the technology gap and it means some new things. It means new approaches. Sometimes we're going back back back to some of the very early ai um that things that we sort of left behind when suddenly the computational capability allowed us to enter into a machine learning and deep neural nets. Great applications, but it's not universally applicable. So that's where we are now. We're beginning to construct that second generation of AI systems where that explica bility where that trustworthiness and were more important that you said, understanding that data flow and the responsibility we have to those who created that data, especially when it's representing human information, that long term responsibility. What are the structures we need to support that ethically? >>That's great insight, Kirk, that's awesome stuff. And it reminds me of the old is new again, right? The cycles of innovation, you mentioned a I in the eighties, reminds me of dusting off and I was smiling because the notion of reasoning and natural language that's been around for a while, these other for a lot of Ai frame which have been around for a while But applied differently becomes interesting. The notion of Meta reasoning, I remember talking about that in 1998 around ontology and syntax and data analysis. I mean, again, well formed, you know, older ways to look at data. And so I gotta ask you, you know, you mentioned reasoning over information, getting the insights and having actions at scale. That doesn't sound like an R and D or labs issue. Right? I mean that that should be like in the market today. So I know you, there's stuff out there, what's different around the Hewlett Packard labs challenge because you guys, you guys are working on stuff that's kind of next gen, so why, what's next gen about reasoning moreover, information and getting insights? Because you know, there's a zillion startups out there that claim to be insights as a service, um, taking action outcomes >>and I think there were going to say a couple things. One is the technologies and the capabilities that God is this far. Uh, they're actually in an interesting position if we think of that twilight of moore's law is getting a little darker every day. Um, there's been such a tail wind behind us tremendous and we would have been foolish not to take advantage of it while it lasted, but as it now flattens out, we have to be realistic and say, you know what that ability to expect anticipate and then planned for a doubling and performance in the next 18 to 24 months because there's twice as many transistors in that square of silicon. We can't count on that anymore. We have to look now broader and it's not just one of these technology inflection points. There's so many we already mentioned ai it's voraciously vowing all this data at the same time. Now that data is all at the edge is no longer in the data center. I mean we may find ourselves laughing chuckling at the term itself data center. Remember when we sent it all the data? Because that's where the computers were. Well, that's 2020 thinking right, that's not even 2025. Thinking also security, that cyber threat of Nation State and criminal enterprises, all these things coming together and it's that confluence of discontinuities, that's what makes a loud problem. And the second piece is we don't just need to do it the way that we've been doing it because that's not necessarily sustainable. And if something is not sustainable is inherently inequitable because we can't afford to let everyone enjoy those benefits. So I think that's all those things, the technology confluence of technology, uh, disruptions and this desire to move to really sustainable, really inherently inequitable systems. That's what makes it a labs problem. >>I really think that's right on the money. And one of things I want to get your thoughts on, cause I know you have a unique historic view of the trajectory arc. Cloud computing that everyone's attention lift and shift cloud scale. Great cloud native. Now with hybrid and multi cloud clearly happening, all the cloud players were saying, oh, it's never gonna happen. All the data set is going to go away. Not really. The, the data center is just an edge big age. So you brought up the data center concept and you mentioned decentralization there, it's a distributed computing architecture, There is no line anymore between what's cloud and what's not the cloud is just the cloud and the data center is now a big fat edge and edges are smaller and bigger. Their nodes distribute computing now is the context. So this is not a new thing for Hewlett Packard enterprise. I mean you guys been doing distributed computing paradigms, supplying software and hardware and solutions Since I can remember since it was founded, what's new now, what do you say that folks are saying, what is HP doing for this new architecture? Because now an operating system is the word, the word that they want. They want to have an operating model, deV ops to have sex shops, all this is happening. What's the what's the state of the art from H. P. E. And how does the lab play into that vision? >>And it's so wonderful that you mentioned in our heritage because if you think about it was the first thing that Bill and they did, they made instruments of unparalleled value and quality for engineers and scientists. And the second thing they did was computerized that instrument control. And then they network them together and then they connect to the network measurement sensing systems to business computing. Right. And so that's really, that's exactly what we're talking about here. You know, and yesterday it was H. B. I. B. Cables. But today it is everything from an Aruba wireless gateway to a green Lake cloud that comes to you to now are cray exa scale supercomputing. And we wanted to look at that entire gamut and understand exactly what you said. How is today's modern developer who has been distinct in agile development in seven uh and devops and def sec ops. How can we make them as comfortable and confident deploying to any one of those systems or all of them in conjunction as confident as they've been deploying to a cloud. And I think that's really part of what we need to understand. And as you move out towards the edge things become interesting. A tiny amount of resources, the number of threats, physical and uh um cyber increased dramatically. It is no longer the healthy happy environment of that raised floor data center, It is actually out in the world but we have to because that's where the data is and so that's another piece of it that we're trying to bring with the labs are distributed systems lab trying to understand how do we make cloud native access every single bite everywhere from the tiniest little Edge embedded system, all the way up through that exa scale supercomputer, how do we admit all of that data to this entire generation and then the following subsequent generation, who will no longer understand what we were so worried about with things being in one place or another, they want to digest all the world's data regardless of where it is. >>You know, I was just having a conversation, you brought this up. Uh that's interesting around the history and the heritage, embedded systems is changing the whole hardware equations, changes the software driven model. Now, supply chain used to be constrained to software. Now you have a software supply chain, hardware, now you have software supply chain. So everything is happening in these kind of new use cases. And Edge is a great example where you want to have compute at the edge not having pulled back to some central location. So, again, advantage hp right, you've got more, you've got some solutions there. So all these like memory driven computing, something that you've worked on and been driving the machine product that we talked about when you guys launched a few years ago, um, looks like now a good R and D project, because all the discussions, I'm I'm hearing whether it's stuff in space or inside hybrid edges is I gotta have software running on an embedded system, I need security, I gotta have, you know, memory driven architecture is I gotta have data driven value in real time. This is new as a kind of a new shift, but you still need to run it. What's the update on the machine and the memory driven computing? And how does that connect the dots for this intelligent Edge? That's now super important in the hybrid equation. >>Yeah, it's fantastic you brought that up. You know, it's uh it's gratifying when you've been drawing pictures on your white board for 10 or 15 years and suddenly you see them printed uh and on the web and he's like, OK Yeah, you guys were there were there because we always knew it had to be bigger than us. And for a while you wonder, well is this the right direction? And then you get that gratification that you see it repeated. And I think one of the other elements that you said that was so important was talking about that supply chain uh and especially as we get towards these edge devices uh and the increasing cyber threat, you know, so much more about understanding the provenance of that supply chain and how we get beyond trust uh to prove. And in our case that proof is rooted in the silicon. Start with the silicon establish a silicon root of trust, something that can't be forged that that physically uncomfortable function in the silicon. And then build up that chain not of trust but a proof of measurable confidence. And then let's link that through the hardware through the data. And I think that's another element, understanding how that data is flowing in and we establish that that that provenance that's provable provenance and that also enables us to come back to that equitable question. How do we deal with all this data? Well, we want to make sure that everyone wants to buy in and that's why you need to be able to reward them. So being able to trace data into an AI model, trace it back out to its effect on society. All these are things that we're trying to understand the labs so that we can really establish this data economy and admit the day that we need to the problems that we have that really just are crying out for that solution bringing in that data, you just know where is the data, Where is the answer? Now I get to work with, I've worked for several years with the German center for your Degenerative Disease Research and I was teasing their director dr nakata. I said, you know, in a couple of years when you're getting that Nobel prize for medicine because you cracked Alzheimer's I want you to tell me how long was the answer hiding in plain sight because it was segregated across disciplines across geography and it was there. But we just didn't have that ability to view across the breath of the information and in a time that matters. And I think so much about what we're trying to do with the lab is that that's that reasoning moreover, more information, gaining insights in the time that matters and then it's all about action and that is driving that insight into the world regardless of whether it has to land in an exa scale supercomputer or tiny little edge device, we want today's application development teams to feel that degree of freedom to range over all of those that infrastructure and all of that data. >>You know, you bring up a great call out there. I want to just highlight that cause I thought that was awesome. The future breakthroughs are hiding in plain sight. It's the access to the people and the talent to solve the problems and the data that's stuck in the silos. You bring those together, you make that seamless and frictionless, then magic happens. That's that's really what we're talking about in this new world, isn't it? >>Absolutely, yeah. And it's one of those things that sometimes my kids as you know, why do you come in every day? And for me it is exactly that I think so many of the challenges we have are actually solvable if the right people knew the right information at the right time and that we all have that not again, not trust, but that proof that confidence, that measurable conference back to the instruments that that HP was always famous for. It was that precision and they all had that calibration tag. So you could measure your confidence in an HP instrument and the same. We want people to measure their confidence when data is flowing through Hewlett Packard Enterprise infrastructure. >>It's interesting to bring up the legacy because instrumentation network together, connecting to business systems. Hey, that sounds like the cloud observe ability, modern applications, instant action and actionable insights. I mean that's really the the same almost exact formula. >>Yeah, For me that's that, that the constant through line from the garage to right now is that ability to handle and connect people to the information that they need. >>Great, great to chat. You're always an inspiration and we could go for another hour talking about extra scale, green leg, all the other cool things going on at H P E. I got to ask you the final question, what are you most excited about for h B and his future and how and how can folks learn more to discover and what should they focus on? >>Uh so I think for me um what I love is that I imagine that world where the data you know today is out there at the edge and you know we have our Aruba team, we have our green Lake team, we have are consistent, you know, our core enterprise infrastructure business and now we also have all the way up through X scale compute when I think of that thriving business, that ability to bring in massive data analytics, machine learning and Ai and then stimulation and modeling. That's really what whether you're a scientist and engineer or an artist, you want to have that intersectionality. And I think we actually have this incredible, diverse set of resources to bring to bear to those problems that will span from edge to cloud, back to core and then to exit scale. So that's what really, that's why I find so exciting is all of the great uh innovators that we get to work with and the markets we get to participate in. And then for me it's also the fact it's all happening at Hewlett Packard Enterprise, which means we have a purpose. You know, if you ask, you know, when they did ask Dave Packer, Dave, why hp? And he said in 1960, we come together as a company because we can do something we could not do by ourselves and we make a contribution to society and I dare anyone to spend more than a couple of minutes with Antonio Neary and he won't remind you. And this is whether it is here to discover or in the halls at labs remind me our purpose, that Hewlett Packard Enterprise is to advance the way that people live and work. And for me that's that direct connection. So it's, it's the technology and then the purpose and that's really what I find so exciting about HPV. >>That's a great call out, Antonio deserves props. I love talking with him, he's the true Bill and Dave Bill. Hewlett Dave package spirit And I'll say that I've talked with him and one of the things that resident to me and resonates well is the citizenship and be interesting to see if Bill and Dave were alive today, that now it's a global citizenship. This is a huge part of the culture and I know it's still alive there at H P E. So, great call out there and props to Antonio and yourself and the team. Congratulations. Thanks for spending the time, appreciate it. >>Thank you john it's great to be with you again. >>Okay. Global labs. Global opportunities, radical. Rethinking this is what's happening within HP. Hewlett Packard Labs, Great, great contribution there from Kirk, have them on the cube and always fun to talk so much, so much to digest there. It's awesome. I'm john Kerry with the cube. Thanks for watching. >>Mm >>mhm Yeah.

>>from the cube studios in Palo alto in boston connecting with thought leaders all around the world. >>This is a cute conversation. Welcome to the cubes coverage of HP discover 2021 I'm lisa martin. I've got three guests with me here. They're going to be talking about the partnership between HP and AMG. Please welcome George hope worldwide Head of partner sales at HP terry, Richardson north american channel chief for AMG and Peter chan, the director of media channel sales at AMG Gentlemen, it's great to have you on the cube. >>Well, thanks for having us lisa. >>All right, >>we're excited to talk to you. We want to start by talking about this partnership terry. Let's go ahead and start with you. H P E and M D have been partners for a very long time, very long history of collaboration. Talk to us about the partnership >>HB named, He do have a rich history of collaboration spinning back to the days of chapter on and then when A M. D brought the first generation AMG equity process department back in 2017, HP was a foundational partner providing valuable engineering and customer insights from day one AmY has a long history of innovation that created a high performance CP roadmap for value partners like HP to leverage in their workload optimized product portfolios, maximizing the synergies between the two companies. We've kicked off initiatives to grow the chain of business together with workload focused solutions and together we define the future. >>Thanks terry George, let's get your perspective as worldwide had a partner sales at HP. Talked to me about H P S perspective of that AMG partnership. >>Yeah, they say it's uh the introduction of the third generation AMG Epic processors, we've we've doubled our A. M. D. Based Pro Lion portfolio. We've even extended it to our follow systems. And with this we have achieved a number of world records across a variety of workloads and are seeing real world results. The third generation am the epic processor delivers strong performance, expand ability and the security our customers need as they continue their digital transformation, We can deliver better outcomes and lay a strong foundation for profitable apartment growth. And we're incorporating unmatched workload optimization and intelligent automation with 360° security. And of course, uh with that as a service experience. >>But as a service experience becoming even more critical as is the security as we've seen some of the groundbreaking numbers and data breaches in 2020 alone. Peter I want to jump over to you now. One of the things that we see H P E and M. D. Talking about our solutions and workloads that are key areas of focus for both companies. Can you explain some of those key solutions and the value that they deliver for your customers? >>Absolutely. It's from computing to HPC to the cloud and everything in between and the young HB have been focused on delivering not just servers but meaningful solutions that can solve customer challenges. For example, we've seen here in India, the DL- 325 has been really powerful for customers that want to deploy video. Hp nmD have worked together with icy partners in the industry to tune the performance and ensure that the user experience is exceptional. Um This just one example of many of course, for instance, the 3 45 with database 3 65 for dense deployments, it's key the 35 That has led the way in big data analytics. Um the Apollo 60 500 breaking new path in terms of AI and Machine learning, quite a trending topic and m D H p are always in the news when it comes to groundbreaking HPC solutions and oh by the way, we're able to do this due to an unyielding commitment to the data center and long term laser focused execution on the M the road map. >>Excellent. Thanks. Peter. Let's talk about the channel expansion a little bit more terry with you. You know, you and the team here. Channel Chief focused on the channel. What is A. M. D. Doing specifically to expand your channel capabilities and support all of the Channel partners that work with Andy >>great question lisa Campbell is investing in so many areas around the channel. Let's start with digital transformation. Our Channel partners consistently provided feedback that customers need to do more with less between A and B and H P. E. We have solutions that increase capabilities and deliver faster time to value for the customer looking to do more with less. We have a tool on our website called the and metrics server virtualization, Tco estimation tool and those who have visually see the savings. We also have lots of other resources such as technical documentation, A and E arena for training and general CPU's departments can take advantage of aside from solution examples, AMG is investing in headcount internally and at our channel part race. I'm actually an example of the investment MD is making to build out the channel. One more thing that I'll mention is the investment that are, you know, lisa su and Andy are making to build out the ecosystem from head Count to code development and is investing to have a more powerful user experience with our software partners in the ecosystem. From my discussions with our channel partners, they're glad to see A and d expanding our our channel through the many initiatives and really bringing that ecosystem. >>Here's another question for you as channel chief. I'm just curious in the last year, speaking and you talked about digital transformation. We've seen so much acceleration of the adoption of that since the last 15 months has presented such challenges. Talk to me a little bit about some of the feedback from your channel partners about what you am, D N H B are doing together to help those customers needed to deliver that fast time to value, >>you know, so really it's all about close collaboration. Um we we work very closely with our counterparts at H P. E just to make sure we understand partner and customer requirements and then we work to craft solutions together from engaging, technically to collaborating on on, you know, when products will be shipped and delivered and also just what are we doing to uh to identify the next key workloads and projects that are going to be engaged in together? So it's it's really brought the companies I think even closer together, >>that's excellent as a covid catalyst. As I say, there's a lot of silver linings that we've seen and it sounds like the collaboration terry that you mentioned has become even stronger George. I want to go to you. Let's HP has been around for a long time. My first job in tech was Hewlett Packard by the way, many years ago. I won't mention how long but talk to me about the partnership with AMG from H P s perspective, is this part of H P S D N A? >>Absolutely. Partnering is our D N A. We've had 80 years of collaboration with an ever expanding ecosystem of partners that that all play a key role in our go to market strategy. We actually design and test our strategic initiatives in close collaboration with our partners so that we can meet their most pressing needs. We do that through like farmer advisory boards and things of that nature. Um but we have we have one of the most profitable partner programs in the industry, 2-3 times higher rebates than most of our competitors. And we continue to invest in the partner experience in creating that expertise so partners can stand out in a highly competitive market. Uh And Andy is in direct alignment with that strategy. We have strong synergies and a common focus between the two companies. >>And I also imagine George one question and one question to that there's tremendous value in it for your end user customers, especially those that have had to everyone pivot so many times in the last year and have talked to me a little bit about George What you're saying from the customer's perspective. >>Well as Antonio Neri said a couple of years back, the world is going to be hybrid and uh, he was right. We continue uh we continue to see that evolution and we continue to deliver solutions around a hybrid digital world with, with Green Lake and the new wave of digital transformation that we refer to now as the age of insight customers want a cloud experience everywhere. And 70% of today's workloads can easily be re factored for the public cloud or they need to stay physically close to the data and other apps at the emerging edge or in polos are in the data centers. So as a result, most organizations are forced to deal with the complexity of having two divergent operating models and they're paying higher cost to maintain them both with Green Lake, we provide one consistent operating model with visibility and control across public clouds and on prem environments. And that applies to all workloads, you know, whether it's cloud native or non cloud native applications. Um we also have other benefits like no cloud block in or no data. Egress charges, so you have to pay a steep price just to move workloads out of the public cloud. And then we're expanding collaboration opportunities within for our partner ecosystem so that we can bring that cloud experience to a faster growing number of customers worldwide. So we've launched new initiatives uh in support of the core strategy as we accelerate our as a service vision and then work with partners to unlock better customer outcomes with Green Lake and of course, hb compute of which I am d is part of is, is the underlying value added technology. >>Can you expand on some of those customer outcomes as we look at, as I mentioned before, this very dynamic market in which we live. It's all about customer outcomes. What are some of those that from a hybrid cloud environment perspective with Green like that you're helping customers achieve? >>Well, at least Greenland has come out with with about 30 different different offerings that package up some solutions. So you're not just buying infrastructure as a service. We have offerings like HPC as a service. We have offerings like uh, V D I as a service, ml, ops as a service. So we're packaging in technology, some are are some are not ours, but into completing some solutions. So that creates the outcome that the customers are looking for. >>Excellent. Thanks, George and Peter, last question to you again with the hybrid cloud environment being something that we're seeing more and more of the benefits that Green Lake is delivering through the channel. What's your perspective from a. M decide? >>Absolutely lisa. So, so I mean I think it's clear with a MD based systems, customers get the benefit of performance, security and fast time to value whether deployed on prem and cloud on a hybrid model. So please come try out our HP system based on name the processors and see how we can accelerate and protect your applications. Thank you lisa. >>Excellent, Peter George terry, thank you for joining me today. I'm sure there's a lot more that folks are going to be able to learn about what AM D and H. P. Are doing together on the virtual show floor. We appreciate your time. Thank you. Yeah, for my guests, I'm lisa martin. You're watching the cubes coverage of HP discover 2021 Yeah.

>>Welcome back to HP discover 2021 My name is Dave Volonte and you're watching the cubes, virtual coverage of H. P. S. Big customer event. Of course, the virtual edition, we're gonna dig into transformations the role of technology in the role of senior technology leadership. Look, let's face it, H P. E. Has gone through a pretty dramatic transformation itself in the past few years. So it makes a great example in case study and with me is rashmi kumari who is the senior vice president and C. I. O. At HP rashmi welcome come on inside the cube. >>Dave Nice to be here. >>Well, it's been almost a year since Covid changed the world as we know it. How would you say the role of the CEO specifically and generally it has changed. I mean you got digital Zero Trust has gone from buzzword to >>mandate >>digital. Everybody was complacent about digital in many ways and now it's really accelerated remote work hybrid. How do you see it? >>Absolutely. As I said in the last discover that Covid has been the biggest reason to accelerate digital transformation in the company's I. C. C. I O. S role has changed tremendously in the last 15 months. It's no more just keep the operations running that's become a table stick. Our roles have become not only to create digital customer experience engaged with our customers in different ways, but also to transform the company operations from inside out to be able to give that digital experience from beginning to end off the customer engagement going forward. We have also become responsible for switching our strategies around the companies as the Covid. Covid hit in different parts of the world at different times and how companies structured their operations to go from one region to another. A global company like H. B had to look into its supply chain differently. Had to look into strategies to mitigate the risk that was created because of the supply chain disruptions as well as you go to taking care of our employees. How do you create this digital collaboration experience where teams can still come together and make the work happen for our end customers? How do we think about future employee engagement when people are not coming into these big buildings and offices and working together, But how to create the same level of collaboration coordination as well as delivery or faster uh goods and services which is enabled by technology going forward. So see I. O. And I. T. S. Role has gone from giving a different level of customer experience to a different level of employee experience as well as enabling day to day operations of the company's. Ceos have realized that digital is the way to go forward. It does not matter what industry you are in and now see a as have their seat at the table to define what the future of every company now, which is a technology company respective you are in oil and gas or mining or a technical product or a card or a mobility company. End of the day you have to act and behave like a technology company. >>So I want to ask you about that because you've you've been a Ceo and uh you know, leading technology provider now for the last three years and you've had previous roles and where you know non technical technology, you know, selling to I. T. Companies and as you point out those worlds are coming together, everybody is a technology company today. How do you think that changes the role of the C. I. O. Because it would always seem to me that there was a difference between A C. I. O. And a tech company. You know what I mean by that? And the C. I. O. It's sort of every other company is those two worlds converging. >>Absolutely. And it's interesting you pointed out that I have worked in many different industries from healthcare and pharma to entertainment to utilities. Um And now at a technology company end of the day um The issues that I. T. Deals with are pretty similar across the organization. What is different here is now my customers are people like me in other industries and I have a little bit of an advantage because just having the experience across various ecosystem. Even at H. B. Look I was fortunate um at H. B. Because of Antonio's leadership, we have topped out mandate to transform how we did business. And I talked about my next gen IT program in last year's cube interview. But at the same time while we were changing our customer partners experience from ordering to order processing to supply chain to finance. Uh We decided this pivot of becoming as a service company. And if you think about that pivot it's pretty common if it was a technology company or non technology company at HP. We were very used to selling a product and coming back three years later at the time of refresh of infrastructure or hardware. That's no more true for us now we are becoming as a service or a subscription company and I. T. Played a major role to enable that quote to cash experience. Which is very different than the traditional experience around how we stay connected with our customer, how we proactively understand their behavior. I always talk about this term. Um Digital exhaust which results into data which can result into better insight and you can not only Upsell cross l because now you have more data about your product usage, but first and the foremost give what your customer wants in a much better way because you can proactively understand their needs and wants because you are providing a digital product versus a physical product. So this is the change that most of the companies are now going through. If you look at Domino's transition, there are pills a sellers but they did better because they had better digital experience. If you look at Chipotle, these are food service companies I. K which is a furniture manufacturer across the board. We have helped our customers and industries to understand how to become a more digital provider. And and remember when uh hp says edge to cloud platform as a service edges the product, the customers who we deal with and how do we get that? Help them get their data to understand how the product is behaving and then get the information to cloud for further analysis. Um and understanding from the data that comes out of the products that gets up, >>I think you've been HP now think around three years and I've been watching of course for decades. Hp. Hp then HP is I feel like it's entering now the sort of third phase of its transformation, your phase one was okay, we gotta figure out how to deal or or operate as a separate companies. Okay. That took some time and then it was okay. Now how do we align our resources and you know, what are the waves that we're gonna ride? And how do we how do we take our human capital, our investments and what bets do we place and and all in on as a service. And now it's like okay how do we deliver on all those promises? So pretty massive transformations. You talked about edge to cloud as a service so you've got this huge pivot in your in your business. What's the technology strategy to support that transformation? >>Yeah that's a that's a great question. So as I mentioned first your second phase which was becoming a stand alone company was the next N. I. T. Program very broad and um S. Four and 60 related ecosystem application. We're even in the traditional business there was a realization that we were 100 20 billion company. We are 30 billion company. We need different types of technologies as well as more integrated across our product line across the globe. And um we I'm very happy to report that we are the last leg of next in I. T. Transformation where we have brought in new customer experience through low touch or not touch order pressing. A very strong as four capabilities. Where we are now able to run all global orders across all our hardware and services business together. And I'm happy to report that we have been able to successfully run through the transformation which a typical company of our size would take five or six years to do in around close to three years. But at the same time while we were building this foundation and the capabilities to be able to do other management, supply chain and data and analytics platforms. We also made the pivot to go to as a service now for as a service and subscription selling. It needs a very different quote to Kazakh cash experience for our customers and that's where we had to bring in um platforms like brim to do um subscription building, convergent charging and a whole different way to address. But we were lucky to have this transformation completed on which we could bolt on this new capability and we had the data and another X platform built which now these as a service products can also use to drive better insight into our customer behavior um as well as how they're using our product a real time for our operations teams. >>Well they say follow the money in the cube. We love to say follow the day to day is obviously a crucial component of competitive advantage business value. So you talk a little bit more about the role of data. I'm interested I'm interested in where I. T. Fits uh you know a lot of companies that have a Chief data officer or Ceo sometimes they're separate. Sometimes they they work you know for each other or Cdo works for C. I. O. How do you guys approach the whole data conversation? >>Yeah that's a that's a great question and has been top of the mind of a lot of C E O C I O S. Chief digital officers in many different companies. The way we have set it up here is do we do have a chief data officer and we do have a head of uh technology and platform and data within I. T. Look. The way I see is that I call the term data torture if we have multiple data lakes, if we have multiple data locations and the data is not coming together at one place at the first time that it comes out of the source system, we end up with data swamps and it's very difficult to drive insights. It's very difficult to have a single version of truth. So HP had two pronged approach. First one was as part of this next gen i. T. Transformation we embarked upon the journey first of all to define our customers and products in a very uniform way across the globe. It's called entity Master Data and Product Master Data Program. These were very very difficult program. We are now happy to report that we can understand the customer from code stage to servicing stage beginning to end across all our system. It's been a tough journey but it was a effort well spent at the same time while we were building this message capability, we also invest the time in our analytics platform because we are generating so much data now globally as one footprint. How do we link our data link to R. S. A. P. And Salesforce and all these systems where our customer data flows through and create analytics and insight from it from our customers or our operations team. At the same time, we also created a chief data officer role where the responsibility is really to drive business from understanding what decision making an analytics they need around product, around customer, around their usage, around their experience to be able to drive better alignment with our customers and products going forward. So this creates efficiencies in the organization. If you have a leader who is taking care of your platforms and data building single source of truth and you have a leader who is propagating this mature notion of handling data as enterprise data and driving that focus on understanding the metrics and the insight that the businesses need to drive better customer alignment. That's when we gain those efficiencies and behind the scenes, the chief data officer and the data leader within my organization worked very, very closely to understand each other needs sometimes out of the possible where do we need the data processing? Is it at the edge? Is it in the cloud? What's the best way to drive the technology and the platform forward? And they kind of rely on each other's knowledge and intelligence to give us give us superior results. And I have done data analytics in many different companies. This model works where you have focused on insight and analytics without because data without insight is of no value, but at the same time you need clean data. You need efficient, fast platforms to process that insight at the functional nonfunctional requirements that are business partners have and that's how we have established in here and we have seen many successes recently. As of now, >>I want to ask you a kind of a harder maybe it's not harder question. It's a weird question around single version of the truth because it's clearly a challenge for organizations and there's many applications workloads that require that single version of the truth. The operational systems, the transaction systems, the HR the salesforce. Clearly you have to have a single version of the truth. I feel like however we're on the cusp of a new era where business lines see an opportunity for whatever their own truth to work with a partner to create some kind of new data product. And it's early days in that. But I want to and maybe not the right question for HP. But I wonder if you see it with in your ecosystems where where it's it's yes, single version of truth is sort of one class of data and analytics gotta have that nail down data quality, everything else. But then there's this sort of artistic version of the data where business people need more freedom. They need more latitude to create. Are you seeing that? And maybe you can help me put that into context. >>Uh, that's a great question. David. I'm glad you asked it. So I think tom Davenport who is known in the data space talks about the offensive and the defensive use cases of leveraging data. I think the piece that you talked about where it's clean, it's pristine, it's quality. It's all that most of those offer the offensive use cases where you are improving company's operations incrementally because you have very clean that I have very good understanding of how my territories are doing, how my customers are doing how my products are doing. How am I meeting my sls or how my financials are looking? There's no room for failure in that area. The other area is though, which works on the same set of data. It's not a different set of data, but the need is more around finding needles in the haystack to come up with new needs, new ones and customers or new business models that we go with. The way we have done it is we do take this data take out what's not allowed for everybody to be seen and then what we call is a private space. But that's this entire data available to our business leader, not real time because the need is not as real time because they're doing more what we call this predictive analytics to be able to leverage the same data set and run their analytics. And we work very closely with business in its we educate them. We tell them how to leverage this data set and use it and gather their feedback to understand what they need in that space to continue to run with their with their analytics. I think as we talk about hindsight insight and foresight hindsight and insight happens more from this clean data lakes where you have authenticity, you have quality and then most of the foresight happens in a different space where the users have more leverage to use data in many different ways to drive analytics and insights which is not readily available. >>Thank you for that. That's interesting discussion. You know digital transformation. It's a journey and it's going to take many years. A lot of ways, not a lot of ways 2020 was a forced March to digital. If you weren't a digital business, you were out of business and you really didn't have much time to plan. So now organizations are stepping back saying, okay let's really lean into our strategy the journey and along the way there's gonna be blind spots, there's bumps in the road when you look out what are the potential disruptions that you see maybe in terms of how companies are currently approaching their digital transformations? That's a great question. >>Dave and I'm going to take a little bit more longer term view on this topic. Right in what's top of my mind um recently is the whole topic of E. S. G. Environmental, social and governance. Most of the companies have governance in place, right? Because they are either public companies or they're under some kind of uh scrutiny from different regulatory bodies or what not. Even if you're a startup, you need to do things with our customers and what not. It has been there for companies. It continues to be there. We the public companies are very good at making sure that we have the right compliance, right privacy, right governance in in in place. Now we'll talk about cyber security. I think that creates a whole new challenge in that governance space. However, we have the set up within our companies to be able to handle that challenge. Now, when we go to social, what happened last year was really important. And now as each and every company, we need to think about what are we doing from our perspective to play our part in that. And not only the bigger companies leaders at our level, I would say that Between last March and this year, I have hired more than 400 people during pandemic, which was all virtual, but me and my team have made sure that we are doing the right thing to drive inclusion and diversity, which is also very big objective for h P E. And Antonio himself has been very active in various round tables in us at the world Economic forum level and I think it's really important for companies to create that opportunity, remove that disparity that's there for the underserved communities. If we want to continue to be successful in this world too, create innovative products and services, we need to sell it to the broader cross section of populations and to be able to do that, we need to bring them in our fold and enable them to create that um, equal consumption capabilities across different sets of people. Hp has taken many initiatives and so are many companies. I feel like uh, The momentum that companies have now created around the topic of equality is very important. I'm also very excited to see that a lot of startups are now coming up to serve that 99% versus just the shiny ones, as you know, in the bay area to create better delivery methods of food or products. Right. The third piece, which is environmental, is extremely important as well as we have seen recently in many companies and where even the dollar or the economic value is flowing are around the companies which are serious about environmental HP recently published its living Progress report. We have been in the forefront of innovation to reduce carbon emissions, we help our customers, um, through those processes. Again, if we do, if our planet is on fire, none of us will exist, right. So we all have to do that every little part to be able to do better. And I'm happy to report, I myself as a person, solar panels, battery electric cars, whatever I can do, but I think something more needs to happen right where as an individual I need to pitch in, but maybe utilities will be so green in the future that I don't need to put panels on my roof, which again creates a different kind of uh waste going forward. So when you ask me about disruptions, I personally feel that successful company like ours have to have E. S. G. Top of their mind and think of products and services from that perspective, which creates equal opportunity for people, which creates better environment sustainability going forward. And, you know, our customers are investors are very interested in seeing what we are doing to be able to serve that cause uh for for bigger cross section of companies, and I'm most of the time very happy to share with my C I. O cohort around how are H. P E F s capabilities creates or feeds into the circular economy, how much e waste we have recycled or kept it off of landfills are green capabilities, How it reduces the evils going forward as well as our sustainability initiatives, which can help other, see IOS to be more um carbon neutral going forward as well. >>You know, that's a great answer, rashmi, thank you for that because I gotta tell you hear a lot of mumbo jumbo about E S G. But that was a very substantive, thoughtful response that I think, I think tech companies in particular are have to lead in our leading in this area. So I really appreciate that sentiment. I want to end with a very important topic which is cyber. It's obviously, you know, escalated in, in the news the last several months. It's always in the news, but You know, 10 or 15 years ago there was this mentality of failure equals fire. Now we realize, hey, they're gonna get in, it's how you handle it. Cyber has become a board level topic, you know? Years ago there was a lot of discussion, oh, you can't have the sec ops team working for the C. I. O. Because that's like the Fox watching the Henhouse, that's changed. Uh it's been a real awakening, a kind of a rude awakening. So the world is now more virtual, you've gotta secure physical uh assets. I mean, any knucklehead can now become a ransomware attack, er they can, they can, they can buy ransomware as a services in the dark, dark web. So that's something we've never seen before. You're seeing supply chains get hacked and self forming malware. I mean, it's a really scary time. So you've got these intellectual assets, it's a top priority for organizations. Are you seeing a convergence of the sea? So roll the C. I. O. Roll the line of business roles relative to sort of prior years in terms of driving security throughout organizations. >>This is a great question. And this was a big discussion at my public board meeting a couple of days ago. It's as as I talk about many topics, if you think digital, if you think data, if you think is you, it's no more one organizations, business, it's now everybody's responsibility. I saw a Wall Street Journal article a couple of days ago where Somebody has compared cyber to 9-11-type scenario that if it happens for a company, that's the level of impact you feel on your on your operations. So, you know, all models are going to change where C so reports to see IO at H P E. We are also into products or security and that's why I see. So is a peer of mine who I worked with very closely who also worked with product teams where we are saving our customers from a lot of pain in this space going forward. And H. B. E. Itself is investing enormous amount of efforts in time in coming out of products which are which are secured and are not vulnerable to these types of attacks. The way I see it is see So role has become extremely critical in every company and the big part of that role is to make people understand that cybersecurity is also everybody's responsibility. That's why in I. T. V. Propagate def sec ups. Um As we talk about it, we are very very careful about picking the right products and services. This is one area where companies cannot shy away from investing. You have to continuously looking at cyber security architecture, you have to continuously look at and understand where the gaps are and how do we switch our product or service that we use from the providers to make sure our companies stay secure The training, not only for individual employees around anti phishing or what does cybersecurity mean, but also to the executive committee and to the board around what cybersecurity means, what zero trust means, but at the same time doing drive ins, we did it for business continuity and disaster recovery. Before now at this time we do it for a ransomware attack and stay prepared as you mentioned. And we all say in tech community, it's always if not when no company can them their chest and say, oh, we are fully secured because something can happen going forward. But what is the readiness for something that can happen? It has to be handled at the same risk level as a pandemic or earthquake or a natural disaster. And assume that it's going to happen and how as a company we will behave when when something like this happen. So I'm here's believer in the framework of uh protect, detect, govern and respond um as these things happen. So we need to have exercises within the company to ensure that everybody is aware of the part that they play day today but at the same time when some event happen and making sure we do very periodic reviews of I. T. And cyber practices across the company. There is no more differentiation between I. T. And O. T. That was 10 years ago. I remember working with different industries where OT was totally out of reach of I. T. And guess what happened? Wanna cry and Petra and XP machines were still running your supply chains and they were not protected. So if it's a technology it needs to be protected. That's the mindset. People need to go with invest in education, training, um awareness of your employees, your management committee, your board and do frequent exercises to understand how to respond when something like this happen. See it's a big responsibility to protect our customer data, our customers operations and we all need to be responsible and accountable to be able to provide all our products and services to our customers when something unforeseen like this happens, >>Russian, very generous with your time. Thank you so much for coming back in the CUBA is great to have you again. >>Thank you. Dave was really nice chatting with you. Thanks >>for being with us for our ongoing coverage of HP discover 21 This is Dave Volonte, you're watching the virtual cube, the leader in digital tech coverage. Be right back. >>Mm hmm, mm.

>>Hey there, thank you for joining me. My name is Heather Pick and I head up strategy and portfolio for point next technology services. Um I really appreciate you guys joining me today. So I want to take you through some of the experiential changes that we are launching today in accordance with their compute space that we believe are going to drive the success of our compute platform without our customer environment. I always like to start these presentations with a provocative yet somewhat simple question and today um I want to start with what would you do if you had an hours, more time and every day. Now to be clear, I'm not looking to extend the day to 25 hours so you can cram more stuff into it. I'm really looking at if I gave you an hour's worth of time of stuff that you did today and tomorrow, you don't have to do it anymore. What would you do with that time? Would you take a lunch hour? Would you leave at a reasonable hour on a daily basis from work? Would you spend that hour really thinking about that strategic project that your boss needs you to go do some R. And D on and really forgot where it is. You need to take the company. What would you do with that precious time? And I ask you because here within point, next technology services, we believe that the element of time is one of the most valuable resources that we can give back to our customers, right? And we see that in two spaces, right? So both in time saved and then time well spent. And let me tell you what it is. I mean about this. So when we talk about giving time back to our customers, that's in terms of a rich digital experience that provides automation and Ai and ultimately access to the things that matter to our customers so that they can do the day to day job of managing their technology ecosystem. Yeah. We don't want to undermine the fact that that same digital platform is also leveraged in order to enhance conversations with our customers that we consider time well spent. So answering questions about what would happen if I turn to this feature on what can I expect um if I make this architectural changes and we're seeing both of those questions come our way hard and fast from our customer base. And these two elements are the underpinning of the entire portfolio experience change that we're bringing to market. Yeah. So what do I mean specifically when we talk about time well saved our time safe. So how how are you going to realize this within your day to day? So number one, it's it's knowing our customers, right? We are working with a lot of different personas within our customer base, right? So we might have a purchasing agent, we might have an I. T. Line manager and the ability and the requirement within that digital ecosystem to know that person the moment they walk through the front door, whatever their front door is, whether it's a digital front door, whether it's a phone call, whether it's an email, whether it's reaching out to an HP person that's on site that we have that digital footprint on them to know who they are and what information matters to them second, taking our technology capabilities and all the information and the richness that's within that digital environment and providing them access to the information about their products that's meaningful to them. Sometimes they don't want to talk to us. Sometimes they just want to know how to do a simple field replacement of something or, or when they get into those more complex. Hey, I need more expertise. I really do need to do some scenario planning. How do I get access to those technologists that can help me? And then how do those technologists bring other people to that conversation so that I leave that conversation knowing that have the right answer and the decision that I've made is the right one for my company. So let me take you through an example of what it is I'm talking about. So as you enter into the new digital customer experience or HP Support center, as you've known it, you're going to notice a dearth of information that's available to you. And one of the cornerstones are foundational elements in developing this new experience is really that it's tolerable. Not every customer and not every persona within every customer wants access to all this information. So, customization on this entry point is critical for you. So, whether you are a line manager who wants to understand all of the things that are going on within your environment, whether you're a technologist that wants to understand what is the technical risk within my environment right now, whether that's their product alerts or critical downloads, or again back into that broader view of what's happening with my contracts, what's expiring, how much money am I going to have to spend this year to keep the keep these contracts going? That's all available to you within this digital experience, and again, heavily customizable based on what you want to see. So in terms of asset management, let's get down to the technical aspects associated with it. So, our technologists need access into their environment on a per product or per technology basis. When we talk about compute it gets even more critical for me to know what kind of compute assets I have and again, what are the features and functionality or potential risks within those environments? This allows a rich ecosystem with access to all of that technical knowledge, very prescriptive information about the different products that's that you have running within your environment, access to both a digital ecosystem as well as peers doing similar things. And then finally, a roll up to give you proactive insights to again your entire environment from a technical view so that you can identify and manage risks in aggregate as opposed to on a per asset basis. We believe that these are the two foundational elements of success in giving customers time back and then also providing the foundation for meaningful experiences. So I've taken you through the detail on what we mean by saving you time. I've taken you through a demo of our new digital customer experience. Now let me talk a little bit in depth about what we mean by time, well spent more and more coming from our customers, they're expecting us to deal with the technology issues, you know, of our technology, but more and more. They also want information on the broader implications of technology changes within their environments so things around performance. How do I get more performance from this from this compute platform that I look at? How do I find tune it so that it can be more workload addressable? Um what happens when I toggle this feature to the network impact? So more and more often we're having to have much broader conversations, again, more meaningful conversations with our customer base on the outcomes that they're trying to drive. So as a result, our offerings are changing in order to pivot towards your more workload mindset and that more aggregate view as you'll see reflected in some of our technology tools. I'm going to take you through an interview with one of our technologists um to show you what it is I'm talking about. So joining me is Nation George. He is one of our senior technologists. Within point. Next Technology services Nation, thank you for joining us. How are you doing today? >>Be good, >>awesome. So you see a lot you've been with us, You're dealing with a lot of customers. Tell us what you're seeing on a day to day basis. What questions are you getting for their customers? How are you seeing these interactions change? >>Absolutely. Before I go into the examples, I've haven't seen your technologist in plain X. Global Remote Services. What I do late today is actually solving complex problems. I can give you a few examples. For example, like a couple of days back I was actually on a customer call um they were looking for understanding the benefits of tag versus tunnel network in more in hb synergy when inter operating with one view Cisco ASA and B M R V center and this is in the interoperability space. Another example would be a customer coming in and asking like this is a telecommunication customer who want to know how to integrate their centralist monitoring tool um to retrieve physical encounters from H. B. Products so that they can have their proactive monitoring in place, right. And some of the other common questions what we see from customers are around maintenance which means like they are doing an infrastructure former update and or infrastructure update. They would like to understand how the version compatibility, the known issues specific to their environment or the best practices what they can follow so that the updates complete successfully. You know, these are the type of request, what we are seeing mostly now from the customers. >>Okay, so really diverse, Pretty complex. A lot of moving parts. Um, how do you know, what kind of methodology or how are we doing to ensure consistency across all these interactions in the different customers? >>Absolutely. We have developed a method and a mindset to provide a frictionless experience to the customer. When they come with these questions, you know what it means is actually that when they come with the question, we try to understand their technical problem technical problem from a technology standpoint. Then we try to see how the technical problem impacts the workload and application and how does it impact their business. We get into an understanding of the technical problem. Then we try to understand that. What are the components involved in the solution for example like compute storage, fabric and software. And then try to understand the into anthropology and data flow with the understanding of the technical problem and the solution into interview. Now we are able to understand what the customer is trying to achieve and what the expected outcome of the interaction need to be and now that we know the expertise needed and most of the time we have the expertise needed to take care of the request. In some cases we need to bring additional experts but we will bring the additional experts but all the time we will keep the solution level ownership until the expected outcome is achieved. Once we are able to collaborate, the experts were able to explain to the customer that the actionable steps which they can perform to actually resolve the problem or achieve the expected outcome. You know? This is the type method what we use whenever the customer comes for advice and guidance. >>So what do you think the ultimate benefits are to the customer? And kind of simplified terms? >>Yeah, these are some of the benefits. What I can see, you know one. They can call us to the support line for any help. For example, like they have a question, they need an answer, they need an advice and guidance or they have support issues that one stop shop like they come to our call, they call us and get them the assistant second, it is a solution level ownership. The person who picks up the call and assist will stay on with the solution level ownership until the customers expected outcome is achieved third. Once we follow the method, what I explained earlier, we will always get to foster resolution and always achieves the customers outcomes. Actually see at the end of it. The central focus here is to reach customers outcome and with solution level ownership. >>Great, thank you so much for joining me. This has been really, really insightful. It's always good to be able to talk with our technologists. >>Thank you heather. >>Okay, so you can never come to one of these without some sort of a call to action. So what am I? What am I asks of you? Check out, check care, right, explore the digital customer experience, use those tools and resources that are available into the air. Use it and give us feedback. This is not a capability that we're rolling out, that we're not going to touch. You're going to see iterative value added to it and that's going to be driven primarily by customer feedback and then telemetry that we're getting on how it is. They're using it, so use it and give us that feedback. Get your time back, really, get your time back, take your lunch, um, spend time on the strategic projects. That's what we're here for. This is we think one of our most compelling assets that we can do for our customer base. Thank you for your time.

>>Okay we're here on the cube covering H. P. E. Accelerating next and with me is Rule Sister Mons, who was the head of it at the Netherlands Cancer Institute also known as NK I welcome rule. >>Thank you very much. Great to be here. >>Hey what can you tell us about the Netherlands Cancer Institute? Maybe you could talk about your core principles and and and also if you could weave in your specific areas of expertise. >>Yeah maybe first introduction to the National Cancer Institute. We are one of the top 10 comprehensive cancers in the world. And what we do is we combine a hospital for treating patients with cancer and research institute under one roof. So the discoveries we do we find within the research. We can easily bring them back to the clinic and and visa versa. So um we have about 750 researchers and about 3000 other employees, doctors, nurses and and my role is to facilitate them at their best with I. T. >>Got it. So I mean everybody talks about digital digital transformation to us that it all comes down to data. So curious how you collect and take advantage of medical data specifically to support NK eyes goals. Maybe some of the challenges that your organization faces with the amount of data, the speed of data coming in. Just the the complexities of data. How do you handle that? >>Yeah it's it's it's a challenge and uh what we we have we have a really a large amount of data so we produce uh terabytes today and we have stored now one petabyte of data at this moment. And it's uh the challenge is to reuse the data optimal for research and to share it with other institutions. So that needs to have a flexible infrastructure for that. So a fast really fast network big data storage environment. But the real challenge is not so much the I. T. But is more the quality of the data. So we have a lot of medical systems all producing those data and how do we combine them and you get the data fair. So findable accessible, interoperable and reusable for research purposes. So I think that's the main shell is the quality of the data. >>Very common themes that we hear from from other customers. I wonder if you could paint a picture of your environment and maybe you can share where HP solutions fit in what what value they bring to your organization's mission. >>Yeah I think it it brings a lot of flexibility. So what we did with HP. Es. That we we developed a software defined data center and then a virtual workplace for our researchers and doctors and that that's based on the HB infrastructure. And what we wanted to build is something that I expect the needs of doctors and nurses, but also the researchers and to kind of different blood groups, blood groups and with different needs. So, uh but we wanted to create one infrastructure because we wanted to make the connection between the hospital and research that's that's more important. So uh HPD helped helped us not only with the infrastructure itself, but also designing and the whole architecture of it. And for example, what we did is we bought a lot of hardware and and and the hardware is really doing his job between 9 to 5 Dennis, everything is working within, everyone is working with an institution, but all the other time in the evening and and nine hours and also the redundant environment we have for for our health care that doesn't do nothing of uh much more less uh in those uh dark hours. So, but we we created together with A V N H B and B M R, is that we we we call it Fidel today, compute by night. So we re use those uh those servers and those Gpu capacity for computational research jobs within the research. >>That's how you mentioned flexibility for this genius. And and so we're talking, you said a lot of hardware probably reliant, I think synergy Aruba networking is in there. How are you using this environment? Actually, the question really is when you think about NK eyes digital transformation, I mean, is this sort of the fundamental platform that you're using? Is it a maybe you could describe that? >>Yeah, it's the fundamental platform to work on. And what we see is that we have we have now everything in place for it. But the real challenge is, is the next steps we are in. So we have a software defined data center, we are cloud ready. So the next step is to make the connection to the cloud to give more automation to our researchers. So they don't have to wait a couple of weeks for I. T. To do it but they can do it themselves with a couple of clicks. So I think the basic is is we are really flexible and we have a lot of opportunities for automation for example. But the next step is to create that the business value really for for our employees. >>That's a great story and a very important mission. Really fascinating stuff. Thanks for sharing this with our audience today. Really appreciate your time. >>Thank you very much. >>Okay, this is Day Volonte with the cube stay right there for more great content. You're watching accelerating next from HP.

>>from around the globe. It's the Cube with digital coverage of HP Green Lake Day made possible by Hewlett >>Packard Enterprise. Okay, so we're deep into H B E Green Lake Day Hope. Hopefully, you've enjoyed the spotlight sessions with Keith with with Pete, with Addison and and Skip from Splunk and, of course, the platform session that our Qadoura hosted. You know, we're going for proof points here. We really want you toe squint through the narrative today and see for yourself what's what's really here and the kind of progress that HP is making with Green Lake. So thanks to everybody for joining the conversation, we now want to turn our attention to more proof points. The next segment of this HB Green Lake day is where you'll have further opportunities toe Learn mawr about Green Lake and how you might apply it to your business. Now, if you're interested in watching watching additional sessions, we have two new ones available for you to see. The first is a session on the new managed security service from H P E with HP Green Lake, Or you could take a deeper dive into high performance computing with Green Lake just look, navigate the agenda tab and select one of those two sessions. They're available at any time. But if you want to stick with us for the live show, we have to live demos in our meat experts sessions, where you'll have the opportunity to ask your questions and have real time interaction with the experts from HP. In fact, I have Steve Showalter and Ash nor here, and they're with me right now to tell you a little bit about their meet the experts sessions. So, Steve, let's start with you. Tell us a little bit about yourself and what you'll be covering in your demo today. >>Sure, Thanks, Dave. My name's Steve Showalter. I'm a part of the Green Lake Cloud Services R and D Team Super excited to be here today, and I hope everyone conjoined our session coming up or we'll take a deeper dive and a live demo of Green Lake Central. In case you haven't seen it before, Green Lake Central's a platform we used to deliver services and capabilities to our Green Lake customers. In Todays Demo will show you how we've designed Green Lake Central to take a persona based approach to deliver the right capabilities and insights to various constituents in our customers. Organizations, for example, will show how a CEO or CFO would use Green Lake Central to view their green light consumption and costs and compare those two public cloud costs from AWS or azure right within the same reporting tool. We'll also show you how a nightie operation staff would use Green Lake Central to engage in capacity planning for their Green Lake environment or manage their Green Lake private Cloud services. We also show how end users within a customer and environment would use Green Lake central to self service and lifecycle manage resource is from these Green Lake Cloud services, or even how a chief security officer would use the continuous compliance capability that we delivered through Green Lake Central toe understand their real time compliance posture against whatever regulatory frameworks they may need to be audited against. So I hope you can join me for this informative and interactive session and look forward to seeing everyone there. >>That's awesome. It sounds like some great details. Their full 3 60 view great visibility are snore. So tell us a little bit about yourself. What's going on your session. Give us Give us the hook. >>Hi. I'm marginal product manager for Green Lake for containers, Um, and three leg for containers is our upcoming service, which promises a true cloud like experience with massive operational simplicity. Uh, this offering is built on our experience middle container platform software and aims to bring speed and portability. Tow both your cloud native and non cloud native applications. Using open source communities, we have a unique data fabric that provides persistent storage for state fel applications. And today you'll see how we demystify communities, operational complexity and provide value to various personas throughout the containerized application life cycle, for example, an idea it men will have all the standardized communities cluster templates on invent automation to spin up the environment for a developer in just a few clicks. And the developer has to just focus on continuous deployment and delivery off their applications on a CEO gets complete visibility across different communities. Clusters for the cough. >>That's awesome. I mean, we know from our data that containers generally kubernetes specifically one of the most significant areas where customers are are spending time and money, so that all sounds fantastic. so you can. You having trouble deciding what you're gonna go to? We're gonna have the chance to see both demos if you want. So we'll be live for the next hour with each meet the expert session. So we're gonna run him twice If you can't decide. Go to both. Okay. Thanks for watching HB Green Lake Day. You're watching the cube?

>>C G technology is focused on data where we have long believed that data is in our DNA. We help maximize humanity's potential by delivering world class, precision engineered data solutions developed through sustainable and profitable partnerships. Included in our offerings are hard disk drives. As I'm sure many of you know, ah, hard drive consists of a slider also known as a drive head or transducer attached to a head gimbal assembly. I had stack assembly made up of multiple head gimbal assemblies and a drive enclosure with one or more platters, or just that the head stacked assembles into. And while the concept hasn't changed, hard drive technology has progressed well beyond the initial five megabytes, 500 quarter inch drives that Seagate first produced. And, I think 1983. We have just announced in 18 terabytes 3.5 inch drive with nine flatters on a single head stack assembly with dual head stack assemblies this calendar year, the complexity of these drives further than need to incorporate Edge analytics at operation sites, so G Edward stemming established the concept of continual improvement and everything that we do, especially in product development and operations and at the end of World War Two, he embarked on a mission with support from the US government to help Japan recover from its four time losses. He established the concept of continual improvement and statistical process control to the leaders of prominent organizations within Japan. And because of this, he was honored by the Japanese emperor with the second order of the sacred treasure for his teachings, the only non Japanese to receive this honor in hundreds of years. Japan's quality control is now world famous, as many of you may know, and based on my own experience and product development, it is clear that they made a major impact on Japan's recovery after the war at Sea Gate. The work that we've been doing and adopting new technologies has been our mantra at continual improvement. As part of this effort, we embarked on the adoption of new technologies in our global operations, which includes establishing machine learning and artificial intelligence at the edge and in doing so, continue to adopt our technical capabilities within data science and data engineering. >>So I'm a principal engineer and member of the Operations and Technology Advanced Analytics Group. We are a service organization for those organizations who need to make sense of the data that they have and in doing so, perhaps introduce a different way to create an analyzed new data. Making sense of the data that organizations have is a key aspect of the work that data scientist and engineers do. So I'm a project manager for an initiative adopting artificial intelligence methodologies for C Gate manufacturing, which is the reason why I'm talking to you today. I thought I'd start by first talking about what we do at Sea Gate and follow that with a brief on artificial intelligence and its role in manufacturing. And I'd like them to discuss how AI and machine Learning is being used at Sea Gate in developing Edge analytics, where Dr Enterprise and Cooper Netease automates deployment, scaling and management of container raised applications. So finally, I like to discuss where we are headed with this initiative and where Mirant is has a major role in case some of you are not conversant in machine learning, artificial intelligence and difference outside some definitions. To cite one source, machine learning is the scientific study of algorithms and statistical bottles without computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference Instead, thus, being seen as a subset of narrow artificial intelligence were analytics and decision making take place. The intent of machine learning is to use basic algorithms to perform different functions, such as classify images to type classified emails into spam and not spam, and predict weather. The idea and this is where the concept of narrow artificial intelligence comes in, is to make decisions of a preset type basically let a machine learn from itself. These types of machine learning includes supervised learning, unsupervised learning and reinforcement learning and in supervised learning. The system learns from previous examples that are provided, such as images of dogs that are labeled by type in unsupervised learning. The algorithms are left to themselves to find answers. For example, a Siris of images of dogs can be used to group them into categories by association that's color, length of coat, length of snout and so on. So in the last slide, I mentioned narrow a I a few times, and to explain it is common to describe in terms of two categories general and narrow or weak. So Many of us were first exposed to General Ai in popular science fiction movies like 2000 and One, A Space Odyssey and Terminator General Ai is a I that can successfully perform any intellectual task that a human can. And if you ask you Lawn Musk or Stephen Hawking, this is how they view the future with General Ai. If we're not careful on how it is implemented, so most of us hope that is more like this is friendly and helpful. Um, like Wally. The reality is that machines today are not only capable of weak or narrow, a I AI that is focused on a narrow, specific task like understanding, speech or finding objects and images. Alexa and Google Home are becoming very popular, and they can be found in many homes. Their narrow task is to recognize human speech and answer limited questions or perform simple tasks like raising the temperature in your home or ordering a pizza as long as you have already defined the order. Narrow. AI is also very useful for recognizing objects in images and even counting people as they go in and out of stores. As you can see in this example, so artificial intelligence supplies, machine learning analytics inference and other techniques which can be used to solve actual problems. The two examples here particle detection, an image anomaly detection have the potential to adopt edge analytics during the manufacturing process. Ah, common problem in clean rooms is spikes in particle count from particle detectors. With this application, we can provide context to particle events by monitoring the area around the machine and detecting when foreign objects like gloves enter areas where they should not. Image Anomaly detection historically has been accomplished at sea gate by operators in clean rooms, viewing each image one at a time for anomalies, creating models of various anomalies through machine learning. Methodologies can be used to run comparative analyses in a production environment where outliers can be detected through influence in an automated real Time analytics scenario. So anomaly detection is also frequently used in machine learning to find patterns or unusual events in our data. How do you know what you don't know? It's really what you ask, and the first step in anomaly detection is to use an algorithm to find patterns or relationships in your data. In this case, we're looking at hundreds of variables and finding relationships between them. We can then look at a subset of variables and determine how they are behaving in relation to each other. We use this baseline to define normal behavior and generate a model of it. In this case, we're building a model with three variables. We can then run this model against new data. Observations that do not fit in the model are defined as anomalies, and anomalies can be good or bad. It takes a subject matter expert to determine how to classify the anomalies on classify classification could be scrapped or okay to use. For example, the subject matter expert is assisting the machine to learn the rules. We then update the model with the classifications anomalies and start running again, and we can see that there are few that generate these models. Now. Secret factories generate hundreds of thousands of images every day. Many of these require human toe, look at them and make a decision. This is dull and steak prone work that is ideal for artificial intelligence. The initiative that I am project managing is intended to offer a solution that matches the continual increased complexity of the products we manufacture and that minimizes the need for manual inspection. The Edge Rx Smart manufacturing reference architecture er, is the initiative both how meat and I are working on and sorry to say that Hamid isn't here today. But as I said, you may have guessed. Our goal is to introduce early defect detection in every stage of our manufacturing process through a machine learning and real time analytics through inference. And in doing so, we will improve overall product quality, enjoy higher yields with lesser defects and produce higher Ma Jin's. Because this was entirely new. We established partnerships with H B within video and with Docker and Amaranthus two years ago to develop the capability that we now have as we deploy edge Rx to our operation sites in four continents from a hardware. Since H P. E. And in video has been an able partner in helping us develop an architecture that we have standardized on and on the software stack side doctor has been instrumental in helping us manage a very complex project with a steep learning curve for all concerned. To further clarify efforts to enable more a i N M l in factories. Theobald active was to determine an economical edge Compute that would access the latest AI NML technology using a standardized platform across all factories. This objective included providing an upgrade path that scales while minimizing disruption to existing factory systems and burden on factory information systems. Resource is the two parts to the compute solution are shown in the diagram, and the gateway device connects to see gates, existing factory information systems, architecture ER and does inference calculations. The second part is a training device for creating and updating models. All factories will need the Gateway device and the Compute Cluster on site, and to this day it remains to be seen if the training devices needed in other locations. But we do know that one devices capable of supporting multiple factories simultaneously there are also options for training on cloud based Resource is the stream storing appliance consists of a kubernetes cluster with GPU and CPU worker notes, as well as master notes and docker trusted registries. The GPU nodes are hardware based using H B E l 4000 edge lines, the balance our virtual machines and for machine learning. We've standardized on both the H B E. Apollo 6500 and the NVIDIA G X one, each with eight in video V 100 GP use. And, incidentally, the same technology enables augmented and virtual reality. Hardware is only one part of the equation. Our software stack consists of Docker Enterprise and Cooper Netease. As I mentioned previously, we've deployed these clusters at all of our operations sites with specific use. Case is planned for each site. Moran Tous has had a major impact on our ability to develop this capability by offering a stable platform in universal control plane that provides us, with the necessary metrics to determine the health of the Kubernetes cluster and the use of Dr Trusted Registry to maintain a secure repository for containers. And they have been an exceptional partner in our efforts to deploy clusters at multiple sites. At this point in our deployment efforts, we are on prem, but we are exploring cloud service options that include Miranda's next generation Docker enterprise offering that includes stack light in conjunction with multi cluster management. And to me, the concept of federation of multi cluster management is a requirement in our case because of the global nature of our business where our operation sites are on four continents. So Stack Light provides the hook of each cluster that banks multi cluster management and effective solution. Open source has been a major part of Project Athena, and there has been a debate about using Dr CE versus Dr Enterprise. And that decision was actually easy, given the advantages that Dr Enterprise would offer, especially during a nearly phase of development. Cooper Netease was a natural addition to the software stack and has been widely accepted. But we have also been a work to adopt such open source as rabbit and to messaging tensorflow and tensor rt, to name three good lab for developments and a number of others. As you see here, is well, and most of our programming programming has been in python. The results of our efforts so far have been excellent. We are seeing a six month return on investment from just one of seven clusters where the hardware and software cost approached close to $1 million. The performance on this cluster is now over three million images processed per day for their adoption has been growing, but the biggest challenge we've seen has been handling a steep learning curve. Installing and maintaining complex Cooper needs clusters in data centers that are not used to managing the unique aspect of clusters like this. And because of this, we have been considering adopting a control plane in the cloud with Kubernetes as the service supported by Miranda's. Even without considering, Kubernetes is a service. The concept of federation or multi cluster management has to be on her road map, especially considering the global nature of our company. Thank you.

>>from around the globe. It's the Cube covering HP Discover virtual experience brought to you by HP. >>Welcome to the Cube's coverage of HP Discover 2020. This is the virtual experience. I'm Lisa Martin with the Cube, and I'm joined by a couple of guys who were gonna talk through one of HPC ease. Longest partnerships. We've got shells. No Ryan and the Senior director Ecosystem Sales or North America at HP And Dr Rajesh, It's really a Boston. The global head of sales and solutions for the TCS. Gentlemen, welcome to the Cube. >>Yeah, Thank you. >>So, first question for you is I mentioned HP and TCS have been partners for over 30 years. Talk to our audience about the partnership and how it has evolved to where it is today. >>Yeah. Thank you, Lisa. Firstly, you know, I'm pretty excited to be part of this Cube interview with garages. You know, I know him personally for over five years through various interactions globally and this new role for North America. This is our strategy and global system integrator partner. And this is a longstanding partnership between HP and this years has grown multi falls over the last 30 years. Ah, we you know, pretty much enjoyed every single I would say transactions or the business engagements, what we've had so far. And we liberate each other for our internal I T requirements and also to drive joint, go to market initiatives across the world. That's making this a truly 3 60 degree partnership. There is a lot of heritage, a mutual trust and respect between both organizations at all levels and the complimentary offerings. You know what you will hear a lot more in the next couple of questions. Uh, we bring to the table together are very unique and very differentiating to the clients which are >>excellent. Dr. Rajesh, walk us through some of those joint offerings that TCS cloud in h e or delivering. >>Yeah, so far. So far. Thanks. I just want to thank the HP team for giving me the opportunity to up to a larger audience. Andi, This new normal. This is the first time I'm doing an interview like this. Thanks for that experience. Actually, as Jules mentioned, this relationship goes a long way. I am talking about the larger PCs were a long relationship, Andi, specifically on the easiest load we started this journey in a very, very practical way. Five years back it was it was started in a very, very small trial and error basis. We started this relationship RPC explode. But at this point in time after So yes, we have taken this into ah, new norm, actually. So I'll give you a couple of examples. One of the examples We have a very major retailer in Germany, which we work so that it was a $1,000,000 deals. Our busiest on GHB. Yes, you wanna unique offering to the customer s AP and a space on that is really growing a lot. And that's the one offering I would like to tell the audience that really has picked up and spent on the relationship in the German region. Right now we are trying to take that up, offering across on other other regions also, so that is one of the key offerings that we are doing it. The other offerings are multiple offerings we are doing. But again, I want to highlight the storage as a service offering. Great. It's everybody in the industry today, Andi, we are experimenting that in the initial stages in Australia we started in Australia a small offering. And now we are expanding it in the US geography in a big way. And this year we are going to make that as a unique offering. And we're going to offer they're all over cloud customers as a storage as a service offering. Also multiple other offering, Lisa. But I just thought that I like this tool which are making our business. We're making a lot of business together with these two offerings >>is the, uh, s AP opportunity that you mentioned is that the Hana as a service that TCS is delivered? >>That's correct. So it's ah, it's a service. But the uniqueness of that particular offering is we jointly created the architecture so that the customer can use that, like a database as a service model. Right? So it was It was not available that time in the industry so easily like what we offered at that point in time to do enough years back. We offer that particular said we spoke a summer and interestingly, that particular offering the customer was using s AP themselves as a service initially, and they migrated their to us actually from Maybe that's a reason they bought HP and TCS. There is like a summer on this API and a platform. So that's the That's the interesting story under, >>if we didn't do that just a little bit further, I wanted the audience to understand the impact that this partnership has H p E and TCS delivering Hana as a service or your customers. What are the benefits there than what the customer, as you said was doing previously? >>Yeah, yeah, I think I just want to highlight the three or four points that make that this offering very unique, and that helps the customer number one is associated with model. So the customer has got the complete flexibility off going up and down like a true cloud model, right? And so it is a really a unique proposition at that point in time, where the customer not a story about using less for some time and then using more sometimes so it's kind of a complete, flexible model that we offered at the time. Number two is, it's a complete customization is possible. It is not like a fixed architecture. The architecture is so flexible so that the customer business needs can be met through the architectural changes. So it's not like normally people think that lotus highly standardized architecture, right? So that has gone out, and we were given a flexible architecture for the customer. That is the number two number three, obviously the cost end of the day. There's a business case which we need to make it work right for the customer. So obviously, with the PCs and HP coming together, we were able to do the costarred, want age with a customer that is the third advantage of that. The last, but not the least, is the quality of service it is it is all about. I always used to tell my partners that selling is easy. Delivering it is what it's important it is, which will make the customer to stick with you, right? The were given and delivery quality experience who our customer s so that I think that makes a very unique proposition from a technology perspective from a pricing. But but from an architecture and also from the delivery perspective. So those are the few few things I just thought that I violated. >>Excellent. So a couple of words that you mentioned popped into my mind as really even more well, have a different meeting as we're in summer 2020 flexibility and unique offering chills back to you from a go to market perspective. How is that relationship with HP? And he says, changing in the Koven era. >>Yeah, it's pretty interesting, and I would like to call it an example off. You know, what we see is is that you themselves during the corporate times, you know, it also came in the in the pets close to 90% of the workforce. We're 100% productive. Uh, and, uh, they have a plan to go 75% of the employees, you know, go being remote by 2025. Right? So that's the journey they're taking on. And another thing that you notice there's a lot of the, you know, During the corporate times, many of the customers were looking for solutions like virtual desktop infrastructure. So they wanted their employees to be productive, bi directional and in the other area of focus was like a TCP, you know, how do I kind of make sure on the applications are available to you? The customers and also do their internal organizations. So we've seen a lot off. I would say engagement with that is I could picture team and also the solution team toe address This requirements off the market joint >>when we look at certain things that now might even be more important with this new normal, if you will, that the fact that most companies are still in phase one of this work, everyone works from home trying to get to a phase to that might see some some maybe by function groups coming back to the office and then getting to this third. Maybe it's the new nirvana of some hybrid workforce, where there's gonna be some that come back permanently, and some that Don't and Tony Unirea chose, I saw was quoted last month as saying he thinks that 50% of the workforce will only 50% will come back. So in this new not only hybrid I T environment in which your customers love it now, this new pending hybrid workforce environment how are you addressing some of the concerns together with respect to the network connectivity security, >>I will just take the cost anything. It's a very, very interesting at least when we all ended up in this pandemic in March. We really very, very nervous, actually, because everyone has to operate remotely on we are. We are dealing with the customer data. It's ah, it's very, very important that we have a secure environment to access the information and at the same time maintain the integrity of the data and also the quality off the plate. Those other two primary objective for us. We don't want to compromise on quality. We don't want to compromise on security from a cloud perspective. So the solution we have put in really, I just give you one example there was on the airline Ah, UK based the airline industry airline company which they need that workforce overnight. They want everybody to go remote because you know you cape on. They just put up condition that nobody can work from the office overnight and then terror ports as toe work from home purchases, implement the solution for them on our clothes overnight and make that 1000 employees store from home the next day morning. All of them started working with full quality of services and also with a full security aspect of it, has been taken care ornate on the solution. We are deployed. Very interesting case study on The important thing we have done is use the technology to the port. Use all kinds of technology to make sure that the employees that work from home we took care of the network connectivity. We took our eye off the security aspects off the data from security aspects. We've implemented all the security functions from really APIs. But people, Children stop perspective. Andi, make the workforce enable that. But now you are talking about millions off millions of workers going to work from home. Right? Because it is one example for one company we have done that now the easiest themselves has got more than 400 1000 employees. And we are talking about millions off our pores, going to work from home on going forward. So that is I'm seeing this as a big opportunity. It's not that everybody has are just this at this point in time, I'm seeing this as an opportunity where on the cloud easiest cloud kind off. The solution is going to help them to achieve this. And this is a great opportunity for not only for PCs, but also for HP because the solution we're putting together with the HP is more on the digital or course how we can enable the people to work from home, not compromising on as I mentioned from a security you're in from millions perspective. So I'm seeing this as an opportunity for both the organization, and it's a long way to go is we need to work on this. It's not. We don't have a magic want to make the millions off workers to work from home, but it is going to have all soon and probably in the next step. Yeah, so we may achieve this, impair people off. The workforce is going to go remotely on this list. So that's that. And my take on this >>is so the impact that HP and TCS Herb being able to make for customers who have had to massively transform their entire workforce overnight, as he said, to work from home to talk about some of the new maybe new solutions or new business opportunities that HPC is partnering with TCS shells, we'll start with you in this new era, >>Yeah, so if you look at it, I just taking it again on extension off of the projects. What he just mentioned about the percentage of employees going remote Lisa across industries today. I would say less than 20% of the employees are actually working remote or they have the ability. But the organizations have the ability to support the employees going, and if you have to take it to 50% so you can look at the kind of opportunity we have both as HP and as PCs. So we bring in a lot of best in breed infrastructure from for enabling the employee workforce to know where it is. I would say capacity off workloads and it's all workload specific. And what business does this or when people Pretty easy as we kind of bundle that creating a reference architecture or a giant architect picture addressing the customers by industry word. So because one what suits for one vertical may not be really suiting well for a different world, right? For example, if you take a banking sector are playing, a workstation solution would look very different from somebody's doing remote work in retail, so we kind of continuously engage with the PCs, and that's where both of us have joint lab as well, where our technologies and pieces technologies come together, working on joint solutions and assisting the market in terms of the opportunity lights. And we offer this as part of A C is our digital workplace offerings. >>Are your conversations Dr Additional go to you or your conversations when you're jointly selling, changing in terms of who your audience is? Is this now a C level conversation? Since these leaders and we've heard leaders of Google and Facebook already last month saying Work from home extended still 2021. Is this now at the C suite level, where you guys are helping them really understand how to completely change and digitize their entire way of doing business? >>Absolutely. I think it's a great question, and it's actually the opportunity goes beyond the work from home solution. As you rightly I want to know that it is. It is all about digitization. It is all about digitizing their whole business process. It is not anymore infrastructure. Our application solution. It is more about really finding that business process be defending. The way the business is going to operate in future is the discussion we are having so a lot of these discussions are happening at a very, very high level and with the business team also directly so earlier, you used to interact with the technology partners off our organization. But now we are interacting directly with the head of business are the C level except of the company. And that is the reason the exact reason is Ah, you. If you want your ports to be productive remotely, you can't just offer them on network on. You can't offer them just a solution to work from home. But you need to really find your whole business process you need. You need to digitize your infrastructure. You need to digitize your application. You need to rethink your whole process off. You're operating on it, so that's what I'm seeing. It's not only an opportunity for our players like a business cloud, but it is the opportunity for a bigger opportunity for PCs. And it should be not only in terms off on infrastructure in our cloud business, it goes beyond that. So that is that is the kind of an opportunity we're seeing, especially in the in the sectors of healthcare you're seeing major reforms are happening in the healthcare industry as we speak, and obviously manufacturing is going to go through a lot of changes. Also from that. And retail obviously has gone through a lot of changes already in terms of online, uh, stuff, but know that also going to go through changes in this new era? Yes, >>I have to ask you shelled, talking about redefining? That's a word that we've seen so many years in a row at tech conferences, right, this technology redefining this business or that industry. And now, of course, we're being redefined by an invisible virus. But how? How is the sales process being redefined? Is it a lot more accelerated because businesses have to put together new plans to continue operations? >>Yeah, again, a great question. Is this how you have? You know, I would say it's divided by industry body. It's not a uniform thing by, as not British was saying, every industry has got its own, its own set of challenges and its own set of opportunities, and some of them are really actually doing well even in times like and some of them have seen, Really. I mean, like, travel our transportation or you know some of those industries are, and even hospitality that's kind of affected big time. So our view of you know, the entire sales engagement of the processes we're spending more time on there. We really need to focus and which can help improve the businesses. Right? So the conversation's ready from How do I take the cost out in terms of how can I make a little more investment to get greater returns from the business? So it's like it's completely, I would say, an interesting pain and engaging compositions and decisions are happening. So we, if you look at us from an automatic perspective, the Internet to the sales team is armed with various virtual tools like we know you zoom views Skype using SMS teens. So all the tools available to make sure that we're able to connect with all our partners and customers on do enable joint business together. >>I just want oh, I add to it, Lisa, 111 point. I want bad, Really interesting change I'm seeing on the sales is normally we respond to it. I asked from a customer that is a sales happens. I want this many days. Do it and then what you can do with a solution that is a normal sales process. What I have seen that has changed completely. Yes, we go and tell the customer, Is this what you need Actually, to make you yourself your business? Better? This is the new offerings I'm having good. And this offering is going to help you to solve the problem what you are having today. So we are engaging a different level off sales conversation today with our customers. We know the problem of the customer because we are working with them for many years and we know exactly what they're going through. And we also know what new offerings we are having in this. So we are engaging the discussion with the customer doing that. This is my new offering. This is going to help you to solve this problem. But that is a different angle of sales we have seen nowadays they spend on it. >>The last question shells to you. We started our interview today talking about the HP TCS relationship. You talked about how it's evolved. Last question. You talked to me about H B's strategy. How does it match TCS Alfa Cloud offering. >>Yeah, so again, a great question, Lisa, if you look at our strategy, is to accelerate the enterprises with it. Centric and cloud enable solutions which are workload up, optimized and delivered everything as a service. And whatever you heard from Dr Rogers through this entire conversation was about how do we give as a service model you gave an example of honor. You gave an example off, you know, going how optimizing workloads for video and getting employees to be able to be productive remotely and all of that kind of extremely resonate well with, you know, what we see is confined to price. Cloud offering is bringing to the table for the customer and the underlying platform. You know, we kind of elaborate extensively and closely with the easiest architecture. Seem to have the HP portfolio off. You know, the compute and storage portfolio integrated as part of their offering, and we go together to market, you know, and addressing and kind of an ask service model. 1,000,000,000. >>Excellent. Well, shells Dr. Rajesh, pleasure talking with you both today about what UCS and H e are doing together and some of the ways that you're really helping businesses move forward in these uncertain times, we appreciate your time. >>Thank you. Thank you for represents. Thanks. Thank >>you. Dr Rajesh. >>My guest. I'm Lisa Martin. You're watching the Cube's coverage of HP Discover 2020. The virtual experience. Thanks for watching. >>Yeah, yeah, yeah.

>>from around the globe. It's the Cube covering HP Discover virtual experience brought to you by HP. >>Welcome to the Cube's coverage of HP Discover 2020. This is the virtual experience. I'm Lisa Martin with the Cube, and I'm joined by a couple of guys who were gonna talk through one of HPC ease. Longest partnerships. We've got shells. No Ryan and the senior director Ecosystem sales for North America at HP and Dr Rajesh Boston, the global head of sales and solutions for the TCS. Wow. Gentlemen, welcome to the Cube. >>Thank you. >>So, first question for you, as I mentioned, HP and TCS have been partners for over 30 years. Talk to our audience about the partnership and how it has evolved to where it is today. >>Yeah. Thank you, Lisa. Firstly, you know, I'm pretty excited to be part of this Cube interview with garages. I know. I know him personally for over five years through various interactions globally and this new role for North America. This is our strategy and global system integrator partner. And this is a longstanding partnership between HP and this years has grown multi falls over the last 30 years. We you know, pretty much enjoyed every single I would say transactions or the business engagements, what we've had so far. And we liberate each other for our internal I T requirements and also to drive joint, go to market initiatives across the world. That's making this a truly a 3 60 degree partnership. There is a lot of heritage, a mutual trust and respect between both organizations at all levels and the complimentary offerings. You know what you will hear a lot more in the next couple of questions we bring to the table together are very unique and very differentiating to the clients, which are >>excellent. Dr. Rajesh walk us through some of those joint offerings that TCS cloud in h e or delivering. >>Yeah, so far so far. Thanks. I just want to thank the HP team for giving me the opportunity to off to a larger audience. Andi, This new normal. This is the first time I'm doing an interview like this. Thanks for that experience. Actually, as James mentioned, this relationship goes a long way. I am talking about the larger PCs were a long relationship. Andi, specifically on the easiest flowed. We started this journey in a very, very practical way. Five years back it was it was started in a very, very small trial and error basis. We started this relationship RPC explode. But at this point in time after So yes, we have taken this into, ah, new norm, actually. So I'll give you a couple of examples. One of the examples We have a very major retailer in Germany, which we work so that it was a multi $1,000,000 deals, our busiest on GHB. He has been a unique offering to the customer s AP, and a space on that is really growing a lot. And that's the one offering I would like to tell the audience that really has picked up and spent on the relationship in the German region. Right now we are trying to take that up, offering across on other other regions also, so that is one of the key offerings that we are doing it. The other offerings are multiple offerings we are doing, but again, I want to highlight the storage as a service offering. Great. It's everybody in the industry today, Andi, we are experimenting that in the initial stages in Australia, we started in Australia a small offering. And now we are expanding it in the US geography in a big way. And this year we are going to make that as a unique offering. And we're going to offer they're all over cloud customers as a storage as a service offering. Also, multiple other offering. Lisa. But I just thought that I like this tool which are making our business. We're making a lot of business together with these two offerings >>is the, uh, s AP opportunity that you mentioned is that the Hana as a service that TCS is delivered? >>That's correct. So it's ah, it's a service. But the uniqueness of that particular offering is be jointly created the architecture so that the customer can use that, like a database as a service model. Right? So it was It was not available that time in the industry so easily like what we offered at that point in time to do enough years back. We offer that particular said we spoke a summer and interestingly, that particular offering the customer was using s AP themselves as a service initially, and they migrated their to us actually from Maybe that's a reason they bought HP and PCs. That is like a summer on this API and a platform. So that's the That's the interesting story under, >>if we didn't do that just a little bit further, I wanted the audience to understand the impact that this partnership has H p E and TCS delivering Hana as a service for your customers. What are the benefits there than what the customer, as you said was doing previously? >>Yeah, yeah, I think I just want to relay the three or four points that make that this offering very unique, and that helps the customer number one is associated with model. So the customer has got the complete flexibility off going up and down like a true cloud model, right? And so it is a really a unique proposition at that point in time, where the customer not a story about using less for some time and then using more sometimes. So it's kind of a complete, flexible model that we offered at the time. Number two is, it's a complete customization is possible. It is not like a fixed architecture. The architecture is so flexible so that the customer business needs can be met through the architectural changes. So it's not like normally people think that lotus highly standardized architecture, right? So that has gone out, and we were given a flexible architecture for the customer. That is the number two number three, obviously the cost end of the day. There's a business case which we need to make it work right for the customer. So obviously, with the PCs and HP coming together, we were able to do the costarred, want age with a customer that is the third advantage of that. The last, but not the least, is the quality of service it is it is all about. I always used to tell my partners that selling is easy. Delivering it is what it's important it is, which will make the customer to stick with you, right? The were given and delivery quality experience who our customer s so that I think that makes a very unique proposition from a technology perspective from a pricing, but from an architecture and also from the delivery perspective. So those are the few few things I just thought that I violated. >>Excellent. So a couple of words that you mentioned popped into my mind as really even more well have a different meeting as we're in summer 2020 flexibility and unique. Offering chills back to you from a go to market perspective. How is that relationship with HP? And he says, changing in the Koven era. >>Yeah, it's pretty interesting, and I would like to call it an example off. You know, what we see is is that you themselves during the corporate times, you know, it also came in the pets close to 90% of the workforce. We're 100% productive. Uh, and, uh, they have a plan to go 75% of the employees, you know, but go being remote by 2025. So that's the journey they're taking on. And another thing that you notice there's a lot of the, you know, During the corporate times, many of the customers were looking for solutions like virtual desktop infrastructure. So they wanted their employees to be productive, bi directional and in the other area of focus was like a TCP, you know, how do I kind of make sure on the applications are available to you, the customers and also do their internal organizations? So we've seen a lot off. I would say engagement with that is I could picture team and also the solution team toe address This requirements off the market jointly >>when we look at certain things that now might even be more important with this new normal, if you will, that the fact that most companies are still in phase one of this work, everyone works from home trying to get to a face to that might see some some maybe by function groups coming back to the office and then getting to this third. Maybe it's the new nirvana of some hybrid workforce, where there's gonna be some that come back permanently, and some that Don't and Tony Unirea chose, I saw was quoted last month as saying, I think that 50% of the workforce will only 50% will come back. So in this new not only hybrid I T environment in which your customers love, but now this new pending hybrid workforce environment, how are you addressing some of the concerns together with respect to the network connectivity security, >>I I'll just take the cost anything. It's a very, very interesting at least when we all ended up in this pandemic in March. We really very, very nervous, actually, because everyone has to operate remotely on we are. We are dealing with the customer data. It's ah, it's very, very important that we have a secure environment to access the information and at the same time maintain the integrity of the data and also the quality off the plate. Those other two primary objective for us. We don't want to compromise on quality. We don't want to compromise on security from a cloud perspective. So the solution we have put in really I just give you one example there was on the airline Ah, UK basically are living in the spirit of the company which they need that workforce overnight. They want everybody to go remote because you know you cape on. They just put up a condition that nobody can work from the office overnight on the entire or ports as toe work from home, PTC is implemented the solution for them on our clothes overnight and make that 1000 employees store from home the next day morning all of them started working with the full quality of services and also with a full security aspect of it has been taken care or made on the solution. We are deployed. Very interesting case study on The important thing we have done is use the technology to the poor. Use all kinds of technology to make sure that the employees that work from home we took care of the network connectivity. We took our eye off the security aspects off the data from security aspects. We've implemented all the security functions from a media perspective. Actually stop perspective, Andi. Make the workforce enable that. But now you are talking about millions off millions of workers going to work from home. Right, Because it is one example for one company we have done that note easiest themselves has got more than 400 1000 employees, and we are talking about millions off work force going to work from home on going forward. So that is, I'm seeing this as a big opportunity. It's not that everybody has are just this. At this point in time, I'm seeing this as an opportunity where on the cloud easiest cloud kind off. The solution is going to help them to achieve this, and this is a great opportunity for not only for PCs but also for HP because the solution we're putting together with the HP is more on the digital or course how we can enable the people to work from home, not compromising on as I mentioned from a security you're in from millions perspective. So I'm seeing this as an opportunity for both the organization, and it's a long way to go is we need to work on this. It's not. We don't have a magic want to make the millions off workers to work from home, but it is going to have all soon and probably in the next step. Yeah, so we may achieve this. Impair people's off. The workforce is going to go remotely on this list. So that's that. And my take on this >>is so the impact that HP and TCS herb being able to make for customers who have had to massively transform their entire workforce overnight, as he said, to work from home to talk about some of the new maybe new solutions or new business opportunities that HPC is partnering with TCS shells, we'll start with you in this new era, >>Yeah, so if you look at it, I just taking it again on extension, offered up by just what you just mentioned about the percentage of employees going Lisa across industries today. I would say less than 20% of the employees are actually working remote or they have the ability. But the organizations have the ability to support the employees going, and if you have to take it to 50% so you can look at the kind of opportunity we have both as HP and as PCs. So we bring in a lot of best in breed infrastructure from for enabling the employee workforce to know where it is. I would say capacity off workloads and it's all workload specific. And what business does is over when people pretty easy as we kind of bundle that creating a reference architecture or a giant architect architecture addressing the customers by industry body. So because one what suits for one vertical may not be really suiting well for a different world, right? For example, if you take a banking sector, our traded workstation solution would look very different from somebody's doing remote in a retail. So we kind of continuously engage with the PCs, and that's where both of us have joint lab as well, where our technologies and pieces technologies come together, working on joint solutions and assisting the market in terms of the opportunity lights. And we offer this as part of A C is our digital workplace offerings. >>Are your conversations Dr Additional go to you or your conversations when you're jointly selling, changing in terms of who your audience is? Is this now a C level conversation? Since these leaders and we've heard leaders of Google and Facebook already last month saying Work from home extended still 2021. Is this now at the C suite level, where you guys are helping them really understand how to completely change and digitize their entire way of doing business? >>Absolutely. I think it's a great question, and it's actually the opportunity goes beyond the work from home solution. As you rightly I want to know that it is. It is all about digitization. It is all about digitizing their whole business process. It is not anymore infrastructure. Our application solution. It is more about really finding that business process be defending. The way the business is going to operate in future is the discussion we are having so a lot of these discussions are happening at a very, very high level on with the business team. Also directly, so earlier you used to interact with the technology partners off our organization. But now we are interacting directly with the head of business are the C level except of the company. And that is the reason the exact reason is Ah, you. If you want your ports to be productive remotely, you can't just offer them on network on. You can't offer them just a solution to work from home, But you need to really find your whole business process you need. You need to digitize your infrastructure. You need to digitize your application. You need to rethink your whole process off. You're operating on it, so that's what I'm seeing. It's not only an opportunity for our players like PCs cloud, but it is the opportunity for a bigger opportunity for PCs and be not only in terms off on infrastructure in our cloud business, it goes beyond that. So that is that is the kind of an opportunity we're seeing, especially in the in the sectors of healthcare you're seeing major reforms are happening in the healthcare industry as we speak on, obviously, manufacturing is going to go through a lot of changes. Also from that. And retail obviously has gone through a lot of changes already in terms of online, uh, stuff, but know that also going to goto changes in this new era? Yes, >>I have to ask you shelled talking about redefining? That's a word that we've seen so many years in a row at tech conferences, right, this technology redefining this business or that industry. And now, of course, we're being redefined by an invisible virus. But how is how is the sales process being redefined? Is it a lot more accelerated because businesses have to put together new plans to continue operations? >>Yeah, again, a great question. Is this how you have? You know, I would say it's divided by industry body. It's not a uniform thing. By, as the British was saying, every industry has got its own, its own set of challenges and its own set of opportunities, and some of them are really actually doing well even in times like and some of them have seen, Really. I mean, like, travel our transportation or, you know, some of those industries are and even hospitality that's kind of affected big time. So our view of you know, the entire sales engagement of the processes we're spending more time on there. We really need to focus and which can help improve the businesses. Right? So the conversation's ready from How do I take the cost out in terms of how can I make a little more investment to get greater returns from the business? So it's like it's a completely I would say, an interesting pain and engaging compositions and decisions are happening. So we, if you look at us from an automatic perspective, the sales team is armed with various virtual tools, like We know you zoom views Skype using SMS teens. So all the tools available to make sure that we're able to connect with all our partners and customers on do enable joint business together. >>I just want oh, I add to it, Lisa, 111 point. I want to ride Really interesting change I'm seeing on the sales is normally we respond to ask from a customer that is a sales happens. I want this many days do it and then what you can do with a solution That is the normal sales process. What I have seen that has changed completely. Yes, we go and tell the customer, Is this what you need Actually, to make you yourself your business? Better? This is the new offerings I'm having good. And this offering is going to help you to solve the problem what you are having today. So we are engaging a different level off sales conversation today with our customers. We know the problem of the customer because we are working with them for many years and we know exactly what they're going through. And we also know what new offerings we are having in this. So we are engaging the discussion with the customer doing that. This is my new offering. This is going to help you to solve this problem. But that is a different angle of sales we have seen nowadays in this. A friend of it, >>the last question shells to you. We started our interview today talking about the HP TCS relationship. You talked about how it's evolved. Last question. You talked to me about H B's strategy. How does it match TCS Alfa Cloud offering? >>Yeah, so again, a great question, Lisa, if you look at our strategy is to accelerate the enterprises with it. Centric and cloud enable solutions which are workload optimized and delivered everything as a service. And whatever you heard from Dr Rogers through this entire conversation was about how do we give as a service model you gave an example of Hana? You give an example off, you know, going optimizing workloads for VD I and getting employees to be able to be productive remotely and all of that kind of extremely resonate well with you know, what pieces are defined to. Price cloud offering is bringing to the table for the customer and the underlying platform. You know, we can have yeah, extensively and closely with the easiest architecture being tohave the HP portfolio off. You know, the compute and storage portfolio integrated as part of their offering, and we go together to market, you know, addressing and kind of an ask service model. 1,000,000,000. >>Excellent. Well, shells Dr Rajesh, pleasure talking with you both today about what UCS and H e are doing together in some of the ways that you're really helping businesses move forward in these uncertain times, we appreciate your time. >>Thank you. Thank you. For instance. Thanks. >>Thank you. Dr Rajesh. >>My guest. I'm Lisa Martin. You're watching the Cube's coverage of HP Discover 2020. The virtual experience. Thanks for watching. >>Yeah, Yeah, yeah, yeah, yeah.