>> Voiceover: Live from Las Vegas, it's the CUBE. Covering AWS re:Invent 2017, presented by AWS, Intel and our ecosystem of partners. >> Hey welcome back to AWS Reinvent 2017. I'm Lisa Martin, very well-caffeinated today, so is David Floyer, we're really excited to be joined by two newcomers to the CUBE. We have Ryan Baxter, the director of cloud and verticals from Micron, welcome. >> Thank you. And Mo Farhat, director of SSD business line management, a marketing guy, welcome guys. >> Ryan: Thank you. >> Mo: Thank you, thank you. >> So Micron, a 35-year-old business. You must have seen massive changes in the last 35 years, but tell us what you guys are doing with AWS. What's exciting you about the announcements coming out, how are you partnering with them? >> Well, as you're seeing around you today, the rise of hyper scale is the true story in IT. And we're closely engaged with AWS to support their storage, memory, and emerging memory technologies as well. And we're tremendously excited by the potential that AWS that can bring to the market and is bringing to the market today. >> So let's unwrap that a little bit more. One of the things that seems to be happening is that the traditional nexus of networking, storage, going all the through the central processor is breaking up. >> Mo: Right. >> And you've got some very interesting stuff with the NVDIMMS. Can you talk a little bit about that and what does it mean to architecture? >> Sure, so I don't know what line isn't blurring these days, when it comes to computing, so we are certainly developing and pushing and product today called NVDIMM. It is the first example of persistent memory which we believe will really usher in a completely new model, and really a way of thinking about, the way folks do compute. It really requires some change on the system side, but the advantages are significant. With just a little bit of investment in terms of adjustments and software, and the way you use hardware, what you can gain from a performance perspective is enormous. >> By having large amounts of D-RAM and behind it, a large amount of Nand storage, and that combination of the two together on the same piece that goes in the computer suddenly multiplies by, how many, 10 times? >> Oh gosh, at least an order of magnitude. We're pretty excited about where this can go, and obviously it doesn't come for free. There will be some investment as far as the application stack, and how things need to change from a hardware enablement perspective, but yeah, things are changing very quickly. The traditional model of really memory and storage is very much at risk and very much blurring these days, and we're excited about where it's going. >> So let's talk about the SSDs. I've been following the flash market for a long time, and saying what a difference it makes to applications in the amount of data that they can get into them, both from the memory side and the storage side. So what's happening on the SSD side? What are you focusing on? >> Well what's most exciting about the developments in SSD today isn't just that they're accelerating existing workloads, but they're enabling all new workloads. Things like real-time analytics to drive our AI engines have revolutionary potential for our daily lives, and not just in the data center. And so when we take a look at what's happening in the SSD market today, the big story is the ramp in adoption in PCIE-connected or NVME SSDs. And we believe that we're at a turning point right now you know, led by AWS and other hyperscalers, and truly driving this adoption. And what NVME allows you to do is really harness the inherent parallelism of solid memory technology, solid state memory technology, and enable better control, enable lower latency, higher throughput and really move away from the legacy IO stack that was built for the hard drive era. Or as we like to call it at Micron, spinning rust. >> Ryan: Yeah. (laughs) >> And that's really amazing, isn't it? If you can have real-time analytics connecting to systems of record at the same time, that ushers in a complete, what we call at Wikibon, systems of intelligence, a completely new way of being able to provide much, much more data to those systems and drive productivity by an order, again, really very high level's difference of the type of applications that you can have. So let me ask you, this is a lot of change that we talked about, where we're taking out the network side, we're taking out the storage side, and the memory side. What's some of the most important things about getting this to happen over the next few years? >> Right, well I think, I'll start I guess. One of the most important things in our minds is paying attention to the customers, and really what drives them, what provides the most value for their deployments in the cloud. We have the privilege of working with folks like AWS because these customers, at the end of the day, challenge us to be better. They challenge us to maintain or improve our quality levels. They challenge us to be more flexible from a go-to-market and business model perspective. And frankly, a lot of the features that they're looking at incorporating into otherwise standard products today, actually end up finding their way into the next generation products that we design tomorrow. So it informs a lot of the way we need to think about traditional memory and storage models in the future. >> What about the standards that are required? >> The standards? >> Yeah. >> Yeah so, the standards bodies are alive and well, and are absolutely necessary for what we need to do to push our products into the market on a daily basis. Oftentimes those standards are too rigid, or not feature-laden enough to be able to get enough benefit for the particular end customer. So in those cases, we're sort of having to bend the model a little bit. Our products are based on a relatively straightforward set of foundational standards, but from there, we listen to the customer to enable new features, new capability of our otherwise standard products. >> Absolutely and in fact, Micron today is really working with our customers up front in helping drive the standards, with deep technical engagement on next generation, NVME features, as well as next generation form factors. You know, really our technology leadership in D-RAM, Nand, everything in between really positions Micron very strongly to shape the future here, and we can't do it without strong customer engagement, and we're really very excited about the potential for a future here. >> Yeah. >> Fantastic. >> How does the standards focus that you guys have, how does that set Micron apart from your competition? >> Well it helps us be a good player in the industry. It helps cement leadership. It allows us to have a playing field that goes to the benefit of our customers, our partners, and delivering predictability to the market, delivering overall lower cost to the market, and all the other ancillary benefits, that agreement our standards provide. >> I loved what you talked about with respect to working together in partnership with your customers. We hear a lot about that from AWS. They're very customer-centric. There was an article on siliconangle.com this morning, it was the third installation of John Furrier's exclusive with Andy Jassy. And I love their kind of backwards approach to product development. Which is really is surprisingly still revolutionary. The customer is such a driving force into what Amazon has become, and it sounds like what you're both saying, that's really very much paralleled at Micron. >> Absolutely, you know leading is hard. When you're firmly looking forward and really blazing new trails in technology, in our product set here, and really driving the revolution towards the solid state data center. You can't do it looking in the rear view mirror. You've got to go in collaboration. It's really some of the most exciting things that we do here is really enabling our customers to succeed. >> And your focus at the moment, I'm putting words in your mouth, I presume that's really weird that cloud providers, the hyperscale people like AWS, like Microsoft, like Google, are those sort of where you're starting the conversations and then that will come down into the enterprise as well after that. Is that the model? >> You know, we provide solutions to a broad range of customers. >> Okay, yeah. >> There is no doubt that hyperscale is in the driver's seat in terms of demand now and into the future for IT technology of all stripes. So we're very focused on it. >> Yeah and there are cloud models that obviously are heavily supported by our OEM customers as well. So maintaining engagement and really being best in class in their eyes is also extremely important for us. >> So this event, I actually heard this morning, 44,000 people here across the entire Strip. Last year, it was around 30,000 or so. How does this massive momentum that AWS has, how does that inspire Micron, and what can people see, feel, touch and experience at your booth here in the expo? >> Again, the growth in the number of attendees is nothing compared to the growth in AWS's business overall. These numbers are truly inspiring. They're changing the landscape of IT today, and so you know, encourage everybody to come by our booth and look at the variety of solutions that we have, both on the SSD side, memory side, as well as the all-popular NVDIMMs. >> And I think what events like this help to do is mobilize 44,000 of the brightest people in the world that come from all different walks of life, not just from a technical perspective, but software, hardware, application-oriented marketing to really have a meeting of the minds, if you will. And it really does, it challenges the traditional way of thinking of how we design our solutions, and how we support customers like AWS. >> Well guys, thank you so much for stopping by and chatting with David and me. >> Thank you very much. >> Really exciting to hear what you guys are doing, and we wish you continued success. >> Thank you very much. >> Thank you, Lisa. (crosstalk) >> For Mo and Ryan, and my co-host David Floyer, I am Lisa Martin, you're watching the CUBE live on Day 2 at SWA 2017 re:Invent. Stick around, we'll be right back. (electronic music)

>>The Cube presents UI Path Forward five. Brought to you by UI Path. >>We're back the cube's coverage of UI path forward. Five. And we're live. Dave Velante with Dave Nicholson. AJ Gupta is here. He's the Chief Digital Transformation Officer at the Motor Vehicles of California dmv. Welcome Jay. Good to see you. >>Thank you. >>Good to see you. Wow, you, you have an interesting job. I would just say, you know, I've been to going to conferences for a long time. I remember early last decade, Frank Sluman put up a slide. People ho hanging out, waiting outside the California dmv. You were the butt of many jokes, but we have a happy customer here, so we're gonna get it to your taste >>Of it. Yeah, very happy >>Customer, obviously transform the organization. I think it's pretty clear from our conversations that that automation has played a role in that. But first of all, tell us about yourself, your role and what's going on at the dmv. >>Sure. Myself, a j Gupta, I am the Chief Digital Transformation Officer at the dmv. Somewhat of i, one would say a made up title, but Governor's office asked me, Okay, we need help. And that's what >>Your title though? >>Yeah, yeah. So I'm like, well we are doing business and technology transformation. So that's, that's what I've been doing for the last three years at the dmv. Before that I was in private sector for 25 years, decided first time to give back cuz I was mostly doing public sector consulting. So here I am. >>Okay. So you knew the industry and that's cool that you wanted to give back because I mean obviously you just, in talking off camera, you're smart, you're very cogent and you know, a lot of times people in the private sector, they don't want to go work in the, in the public sector unless they're, unless they're power crazy, you know? Anyway, so speaking with David Nicholson, the experience has gone from really crappy to really great. I mean, take >>It from here. Yeah. Well, am I gonna be, I'm, because I'm from California, I was just, I was just, you know, we >>Got a dual case study >>Eloquently about, about the, the, the change that's happened just in, just in terms of simple things like a registration renewal. It used to be go online and pray and weed through things and now it's very simple, very, very fast. Tell us more about, about some of the things that you've done in the area of automation that have increased the percentage of things that could be done online without visiting a field office. Just as an >>Example. Yeah, what's the story? >>Yeah, so first of all, thank you for saying nice things about dmv, you as a customer. It means a lot because we have been very deliberately working towards solving all customer po pain points, whether it's in person experiences, online call centers, kiosks, so all across the channels. So we started our journey, myself and director Steve Gordon about three years ago, almost at the same time with the goal of making Department of Mo no motor vehicles in California as the best retail experience in the nation across industries. So that's our goal, right? Not there yet, but we are working towards it. So for, for our in person channels, which is what you may be familiar with, first of all, we wanna make sure brick and click and call all the customer journeys can be done across the channels. You can decide to start journey at one place, finish at another place. >>All that is very deliberate. We are also trying to make sure you don't have to come to field office at all. We would welcome you to come, we love you, but we don't want you to be there. You have better things to do for the economy. We want you to do that instead of showing up in the field office, being in the weight line. So that's number one. Creating more digital channels has been the key. We have created virtual field office. That's something that you would become familiar with if you are not as a DMV customer. During Covid, the goal was we provide almost all the services. We connect our technicians to the customer who are in need of a live conversation or a email or a text or a, or a SMS conversation or chat conversation in multiple languages or a video call, right? >>So we were able to accomplish that while Covid was going on, while the riots were going on. Those of your, you know about that, we, our offices were shut down. We created this channel, which we are continuing because it's a great disaster recovery business continuity channel, but also it can help keep people away from field office during peak hours. So that's been very deliberate. We have also added additional online services using bots. So we have created these web and process bots that actually let you do the intake, right? You, we could set up a new service in less than four weeks, a brand new service online. We have set up a brand new IVR service on call centers in less than a month for our seniors who didn't want to come to the field office and they were required certain pieces of information and we were able to provide that for our customers by creating this channel in less than less than four. >>And the pandemic was an accelerant to this was, was it the catalyst really? And then you guys compressed it? Or were, had you already started on the >>Well, we were >>Ready. I mean you, but you came on right? Just about just before the pandemic. >>Yeah. Yeah. So I came on in 2019, pandemic started in 2020 early. So we got lucky a little bit because we had a head start at, I was already working with u UI paths and we had come up with design patterns that we gonna take this journey for all DMV channels with using UiPath. So it was about timing that when it happened, it accelerated the need and it accelerated the actual work. I was thinking, I'll have a one year plan. I executed all of the one year plan items in less than two months out of necessity. So it accelerated definitely the execution of my plan. >>So when you talk about the chat channel, is that bots, is that humans or a combination? Yeah, >>It's a, it's a combination of it. I would say more AI than bots. Bots to the service fulfillment. So there is the user interaction where you have, you're saying something, the, the chat answers those questions, but then if you want something, hey, I want my, my registration renewed, right? It would take you to the right channel. And this is something we do today on our IVR channel. If you call in the DMV number in California, you'll see that your registration renewal is all automatic. You also have a AI listening to it. But also when you are saying, Yep, I wanna do it, then bot triggers certain aspects of the service fulfillment because our legacy is still sitting about 60 years old and we are able to still provide this modern facade for our customers with no gap and as quickly as possible within a month's time. How >>Many DMVs are in the state? >>Okay, so we have 230 different field locations out of which 180 are available for general public services. >>Okay. So and then you're, you're creating a digital overlay that's right >>To all of >>That, right? >>Yeah, it's digital and virtual overlay, right? Digital is fully self-service. Bots can do all your processing automation, can do all the processing. AI can do all the processing, but then you have virtual channels where you have customer interacting with the technicians or technicians virtually. But once a technician is done solving the problem, they click a button and bot does rest of the work for the technician. So that's where we are able to get some back office efficiency and transaction reduction. >>When was the last time you walked into a bank? >>Oh man. >>I mean, is that where we're going here where you just don't have to >>Go into the branch and that is the goal. In fact, we already have a starting point. I mean, just like you have ATM machines, we have kiosks already that do some of this automation work for us today. The goal is to not have to have to, unless you really want to, We actually set up these personas. One of them was high touch Henry. He likes to go to the field office and talk to people. We are there for them. But for the millennials, for the people who are like, I don't have time. I wanna like quickly finish this work off hours 24 by seven, which is where bots come in. They do not have weekends, HR complaint, they don't have overtime. They're able to solve these problems for me, 24 >>By seven. And what's the scope of your, like how many automations, how many bots? Can you give us a sense? >>Sure. So right now we are sitting at 36 different use cases. We have collected six point of eight point, well, we have saved 8.8 million just using the bots overall savings. If you were to look at virtual field office, which bots are part of, we have collected 388 million so far in that particular channel bots. I've also saved paper. I've saved a million sheets of paper through the bot, which I'm trying to remember how many trees it equates to, but it's a whole lot of trees that I've saved. And >>How many bots are we talking about? >>So it's 36 different use cases. So 36 >>Bots? >>Well, no, there's more bots I wanna say. So we are running at 85% efficiency, 50 bots. Oh wow. Yeah. >>Wow. Okay. So you, you asked the question about, you know, when was the last time someone was in a bank? The last time I was in a bank it was to deposit, you know, more than $10,000 in cash because of a cash transaction. Someone bought a car from me. It was more of a nuisance. I felt like I was being treated like a criminal. I was very clear what I was doing. I had just paid off a loan with that bank and I was giving them the cash for that transaction as opposed to the DMV transaction transferring title. That was easy. The DMV part was easier than the bank. And you're trying to make it even easier and it shouldn't, it shouldn't be that way. Yes. Right. But, but I, I have a, I have a question for you on, on that bot implementation. Can you give us, you've sort of give it us examples of how they interact. Yeah. But as your kind of prototypical California driver's license holder, how has that improved a specific transaction that I would be involved with? Can >>You, so well you as a Californian and you as a taxpayer, you as a Californian getting services and you as a taxpayer getting the most out of the money Okay. That the DMV spending on providing services, Right. Both are benefits to you. Sure. So bots have benefited in both of those areas. If you were used to the DMV three years ago, there was a whole lot of paper involved. You gotta fill this form out, you gotta fill this other form out and you gotta go to dmv. Oh by the way, your form, you didn't bring this thing with you. Your form has issues. We are calculated that about 30% of paper workloads are wasted because they just have bad data, right? There is no control. There's nobody telling you, hey, do this. Right. Even dates could be wrong, names could be wrong fields, maybe incomplete and such. >>So we were able to automate a whole lot of that by creating self-service channels, which are accelerated by bot. So we have these web acceleration platforms that collect the data, bots do the validation, they also verify the information, give you real time feedback or near real time feedback that hey, this is what you need to change. This is when you need to verify. So all the business rules are in the bot. And then once you're done, it'll commit the information to our legacy systems, which wouldn't have been possible unless a technician was punching it in manually. So there is a third cohort of Californians, which is our employees. We have 10,000 of those. They, I don't want them to get carpal tunnel. I want them to make sure they're spending more time thinking and helping our customers, looking at the customers rather than typing things. And that's what we are able to accomplish with the bots where you press that one button, which will have required maybe 50 more keystrokes and that's gone. And now you're saving time, you're also saving the effort and the attention loss of serving the best. >>Jay, what does it take to get a new process on board? So I'm thinking about real id, I just went through that in Massachusetts. I took, it was gonna be months to get to the dmv. So I ended up going through a aaa, had to get all these documents, I uploaded all the documents. Of course when I showed up, none were there. Thankfully I had backup copies. But it was really a pleasant experience. Are you, describe what you're doing with real ID and what role bots play? >>Yeah, sure. So with real id, what we are doing today and what I, what we'll be doing in the future, so I can talk about both. What we are doing today is that we are aligning most of the work to be done upfront by the customer. Because real ID is a complex transaction. You've gotta have four different pieces of documentation. You need to provide your information, it needs to match our records. And then you show up to the field office. And by the way, oh man, I did not upload this information. We are getting about 15 to 17% returns customers. And that's a whole lot of time. Every single mile our customer travels to the DMV office, which averages to about 13 miles. In my calculation for average customer, it's a dollar spent in carbon footprint in the time lost in the technician time trying to triage out some other things. So you're talking $26 per visit to the economy. >>Yeah. An amazing frustration, Yes. >>That has to come back and, and our customer satisfaction scores, which we really like to track, goes down right away. So in general, for real, id, what we have been, what we have done is created bunch of self-service channels, which are accelerated by workflow engines, by AI and by bots to collect the documentation, verify the documentation against external systems because we actually connect with Department of Homeland Security verify, you know, what's your passport about? We look at your picture and we verify that yep, it is truly a passport and yours and not your wives. Right? Or not a picture of a dog. And it's actually truly you, right? I mean, people do all kind of fun stuff by mistake or intentionally. So we wanna make sure we save time for our customer, we save time for our, for our employees, and we have zero returns required when employees, where customer shows up, which by the way is requirement right now. But the Department of Homeland Security is in a rule making process. And we are hopeful, very hopeful at this point in time that we'll be able to take the entire experience and get it done from home. And that'll give us a whole lot more efficiency, as you can imagine. And bots are at the tail end of it, committing all the data and transactions into our systems faster and with more accuracy. >>That's a great story. I mean, really congratulations and, and I guess I'll leave it. Last question is, where do you want to take this? What's the, what's your roadmap look like? What's your runway look like? Is it, is there endless opportunities to automate at the state or do you see a sort of light at the end of the tunnel? >>Sure. So there is a thing I shared in the previous session that I was in, which is be modern while we modernize. So that's been the goal with the bot. They are integral part of my transition architecture as I modernize the entire dmv, bring them from 90 60, bringing us from 1960 to 2022 or even 2025 and do it now, right? So bots are able to get me to a place where customers expectations are managed. They are getting their online, they're getting their mobile experience, they are avoiding making field off his trips and avoiding any kind of paper based processing right? For our employees and customers as well. So bots are serving that need today as part of the transition strategy going from 1960 to 2022 in the future. They're continue gonna continue to service. I think it's one thing that was talked about by the previous sessions today that we, they, they're looking at empowering the employees to do their own work back office work also in a full automation way and self-power them to automate their own processes. So that's one of the strategies we're gonna look for. But also we'll continue to have a strategy where we need to remain nimble with upcoming needs and have a faster go to market market plan using the bot. >>Outstanding. Well thanks so much for sharing your, your story and, and thanks for helping Dave. >>Real life testimony. I never, never thought I'd be coming on to praise the California dmv. Here I am and it's legit. Yeah, >>Well done. Can I, can I make an introduction to our Massachusetts colleagues? >>Good to, well actually we have, we have been working with state of New York, Massachusetts, Nevara, Arizona. So goal is to share but also learn from >>That. Help us out, help us out. >>But nice to be here, >>Great >>To have you and looking for feedback next time you was at dmv. >>All right. Oh, absolutely. Yeah. Get that, fill out that NPS score. All right. Thank you for watching. This is Dave Valante for Dave Nicholson. Forward five UI customer conference from the Venetian in Las Vegas. We'll be right back.

>>Good afternoon, everyone. And welcome back to the VMware Explorer. 2022 live from San Francisco. Lisa Martin, here with Dave. Valante good to be sitting next to you, sir. >>Yeah. Yeah. The big set >>And we're very excited to be welcoming buck. One of our esteemed alumni Sanja poin joins us, the CEO and president of cohesive. Nice to see >>You. Thank you, Lisa. Thank you, Dave. It's great to meet with you all the time and the new sort of setting here, but first >>Time, first time we've been in west, is that right? We've been in north. We've been in south. We've been in Las Vegas, right. But west, >>I mean, it's also good to be back with live shows with absolutely, you know, after sort of the two or three or hiatus. And it was a hard time for the whole world, but I'm kind of driving a little bit of adrenaline just being here with people. So >>You've also got some adrenaline, sorry, Dave. Yeah, you're good because you are new in the role at cohesive. You wrote a great blog that you are identified. The four reasons I came to cohesive. Tell the audience, just give 'em a little bit of a teaser about that. >>Yeah, I think you should all read it. You can Google and, and Google find that article. I talked about the people Mohi is a fantastic founder. You know, he was the, you know, the architect of the Google file system. And you know, one of the senior Google executives was on my board. Bill Corrin said one of the smartest engineers. He was the true father of hyperconverge infrastructure. A lot of the code of Nutanix. He wrote, I consider him really the father of that technology, which brought computer storage. And when he took that same idea of bringing compute to secondary storage, which is really what made the scale out architect unique. And we were at your super cloud event talking about that, Dave. Yeah. Right. So it's a people I really got to respect his smarts, his integrity and the genius, what he is done. I think the customer base, I called a couple of customers. One of them, a fortune 100 customer. I, I can't tell you who it was, but a very important customer. I've known him. He said, I haven't seen tech like this since VMware, 20 years ago, Amazon 10 years ago and now Ko. So that's special league. We're winning very much in the enterprise and that type of segment, the partners, you know, we have HPE, Cisco as investors. Amazon's an investors. So, you know, and then finally the opportunity, I think this whole area of data management and data security now with threats, like ransomware big opportunity. >>Okay. So when you were number two at VMware, you would come on and say, we'd love all our partners and of course, okay. So you know, a little bit about how to work with, with VMware. So, so when you now think about the partnership between cohesive and VMware, what are the things that you're gonna stress to your constituents on the VMware side to convince them that Hey, partnering with cohesive is gonna gonna drive more value for customers, you know, put your thumb on the scale a little bit. You know, you gotta, you gotta unfair advantage somewhat, but you should use it. So what's the narrative gonna be like? >>Yeah, I think listen with VMware and Amazon, that probably their top two partners, Dave, you know, like one of the first calls I made was to Raghu and he knew about this decision before. That's the level of trust I have in him. I even called Michael Dell, you know, before I made the decision, there's a little bit of overlap with Dell, but it's really small compared to the overlap, the potential with Dell hardware that we could compliment. And then I called four CEOs. I was, as I was making this decision, Andy Jassey at Amazon, he was formerly AWS CEO sat Nadela at Microsoft Thomas cor at Google and Arvin Christian, IBM to say, I'm thinking about this making decision. They are many of the mentors and friends to me. So I believe in an ecosystem. And you know, even Chuck Robbins, who the CEO of Cisco is an investor, I texted him and said, Hey, finally, we can be friends. >>It was harder to us to be friends with Cisco, given the overlap of NSX. So I have a big tent towards everybody in our ecosystem with VMware. I think the simple answer is there's no overlap okay. With, with the kind of the primary storage capabilities with VSAN. And by the same thing with Nutanix, we will be friends and, and extend that to be the best data protection solution. But given also what we could do with security, I think this is gonna go a lot further. And then it's all about meet the field. We have common partners. I think, you know, sort of the narrative I talked about in that blog is just like snowflake was replacing Terada and ServiceNow replace remedy and CrowdStrike, replacing Symantec, we're replacing legacy vendors. We are viewed as the modern solution cloud optimized for private and public cloud. We can help you and make VMware and vs a and VCF very relevant to that part of the data management and data security continuum, which I think could end VMware. And by the way, the same thing into the public cloud. So most of the places where we're being successful is clearly withs, but increasingly there's this discussion also about playing into the cloud. So I think both with VMware and Amazon, and of course the other partners in the hyperscaler service, storage, networking place and security, we have some big plans. >>How, how much do you see this? How do you see this multi-cloud narrative that we're hearing here from, from VMware evolving? How much of an opportunity is it? How are customers, you know, we heard about cloud chaos yesterday at the keynote, are customers, do they, do they admit that there's cloud chaos? Some probably do some probably don't how much of an opportunity is that for cohesive, >>It's tremendous opportunity. And I think that's why you need a Switzerland type player in this space to be successful. And you know, and you can't explicitly rule out the fact that the big guys get into this space, but I think it's, if you're gonna back up office 365 or what they call now, Microsoft 365 into AWS or Google workspace into Azure or Salesforce into one of those clouds, you need a Switzerland player. It's gonna be hard. And in many cases, if you're gonna back up data or you protect that data into AWS banks need a second copy of that either on premise or Azure. So it's very hard, even if they have their own native data protection for them to be dual cloud. So I think a multi-cloud story and the fact that there's at least three big vendors of cloud in, in the us, you know, one in China, if include Alibaba creates a Switzerland opportunity for us, that could be fairly big. >>And I think, you know, what we have to do is make sure while we'll be optimized, our preferred cloud is AWS. Our control plane runs there. We can't take an all in AWS stack with the control plane and the data planes at AWS to Walmart. So what I've explained to both Microsoft and AWS is that data plane will need to be multi-cloud. So I can go to an, a Walmart and say, I can back up your data into Azure if you choose to, but the control plane's still gonna be an AWS, same thing with Google. Maybe they have another account. That's very Google centric. So that's how we're gonna believe the, the control plane will be in AWS. We'll optimize it there, but the data plane will be multicloud. >>Yeah. And that's what Mo had explained at Supercloud. You know, and I talked to him, he really helped me hone in on the deployment models. Yes. Where, where, where the cohesive deployment model is instantiating that technology stack into each cloud region and each cloud, which gives you latency advantages and other advantages >>And single code based same platform. >>And then bringing it, tying it together with a unified, you know, interface. That was he, he was, he was key. In fact, I, I wrote about it recently and, and gave him and the other 29 >>Quite a bit in that session, he went deep with you. I >>Mean, with Mohi, when you get a guy who developed a Google file system, you know, who can technically say, okay, this is technically correct or no, Dave, your way off be. So I that's why I had to >>Go. I, I thought you did a great job in that interview because you probed him pretty deep. And I'm glad we could do that together with him next time. Well, maybe do that together here too, but it was really helpful. He's the, he's the, he's the key reason I'm here. >>So you say data management is ripe for disrupt disruption. Talk about that. You talked about this Switzerland effect. That sounds to me like a massive differentiator for cohesive. Why is data management right for disruption and why is cohesive the right partner to do it? >>Yeah, I think, listen, everyone in this sort of data protection backup from years ago have been saying the S Switzerland argument 18 years ago, I was a at Veras an executive there. We used the Switzerland argument, but what's changed is the cloud. And what's changed as a threat vector in security. That's, what's changed. And in that the proposition of a, a Switzerland player has just become more magnified because you didn't have a sales force or Workday service now then, but now you do, you didn't have multi-cloud. You had hardware vendors, you know, Dell, HPE sun at the time. IBM, it's now Lenovo. So that heterogeneity of, of on-premise service, storage, networking, HyperCloud, and, and the apps world has gotten more and more diverse. And I think you really need scale out architectures. Every one of the legacy players were not built with scale out architectures. >>If you take that fundamental notion of bringing compute to storage, you could almost paralyze. Imagine you could paralyze backup recovery and bring so much scale and speed that, and that's what Mo invented. So he took that idea of how he had invented and built Nutanix and applied that to secondary storage. So now everything gets faster and cheaper at scale. And that's a disruptive technology ally. What snowflake did to ator? I mean, the advantage of snowflake is when you took that same concept data, warehousing is not a new concept it's existed from since Ralph Kimball and bill Inman and the people who are fathers of data warehousing, they took that to Webscale. And in that came a disruptive force toter data, right on snowflake. And then of course now data bricks and big query, similar things. So we're doing the same thing. We just have to showcase the customers, which we do. And when large customers see that they're replacing the legacy solutions, I have a lot of respect for legacy solutions, but at some point in time of a solution was invented in 1995 or 2000, 2005. It's right. For change. >>So you use snowflake as an example, Frank SL doesn't like when I say playbook, cuz I says, Dave, I'm a situational CEO, no playbook, but there are patterns here. And one of the things he did is to your point go after, you know, Terra data with a better data warehouse, simplify scale, et cetera. And now he's, he's a constructing a Tam expansion strategy, same way he did at ServiceNow. And I see you guys following a similar pattern. Okay. You get your foot in the door. Let's face it. I mean, a lot of this started with, you know, just straight back. Okay, great. Now it's extending into data management now extending to multi-cloud that's like concentric circles in a Tam expansion strategy. How, how do you, as, as a CEO, that's part of your job is Tam expansion. >>So yeah, I think the way to think about the Tam is, I mean, people say it's 20, 30 billion, but let me tell you how you can piece it apart in size, Dave and Lisa number one, I estimate there's probably about 10 to 20 exabytes of data managed by these legacy players of on-prem stores that they back up to. Okay. So you add them all up in the market shares that they respectively are. And by the way, at the peak, the biggest of these companies got to 2 billion and then shrunk. That was Verto when I was there in 2004, 2 billion, every one of them is small and they stopped growing. You look at the IDC charts. Many of them are shrinking. We are the fastest growing in the last two years, but I estimate there's about 20 exabytes of data that collectively among the legacy players, that's either gonna stay on prem or move to the cloud. Okay. So the opportunity as they replace one of those legacy tools with us is first off to manage that 20 X by cheaper, faster with the Webscale glass offer the cloud guys, we could tip that into the cloud. Okay. >>But you can't stop there. >>Okay. No, we are not doing just backup recovery. We have a platform that can do files. We can do test dev analytics and now security. Okay. That data is potentially at a risk, not so much in the past, but for ransomware, right? How do we classify that? How do we govern that data? How do we run potential? You know, the same way you did antivirus some kind of XDR algorithms on the data to potentially not just catch the recovery process, which is after fact, but maybe the predictive act of before to know, Hey, there's somebody loitering around this data. So if I'm basically managing in the exabytes of data and I can proactively tell you what, this is, one CIO described this very simply to me a few weeks ago that I, and she said, I have 3000 applications, okay. I wanna be prepared for a black Swan event, except it's not a nine 11 planes getting the, the buildings. >>It is an extortion event. And I want to know when that happens, which of my 3000 apps I recover within one hour within one day within one week, no later than one month. Okay. And I don't wanna pay the bad guys at penny. That's what we do. So that's security discussions. We didn't have that discussion in 2004 when I was at another company, because we were talking about flood floods and earthquakes as a disaster recovery. Now you have a lot more security opportunity to be able to describe that. And that's a boardroom discussion. She needs to have that >>Digital risk. O O okay, go ahead please. I >>Was just gonna say, ransomware attack happens every what? One, every 11, 9, 11 seconds. >>And the dollar amount are going up, you know, dollar are going up. Yep. >>And, and when you pay the ransom, you don't always get your data back. So you that's not. >>And listen, there's always an ethical component. Should you do it or not do it? If you, if you don't do it and you're threatened, they may have left an Easter egg there. Listen, I, I feel very fortunate that I've been doing a lot in security, right? I mean, I built the business at, at, at VMware. We got it to over a billion I'm on the board of sneak. I've been doing security and then at SAP ran. So I know a lot about security. So what we do in security and the ecosystem that supports us in security, we will have a very carefully crafted stay tuned. Next three weeks months, you'll see us really rolling out a very kind of disciplined aspect, but we're not gonna pivot this company and become a cyber security company. Some others in our space have done that. I think that's not who we are. We are a data management and a data security company. We're not just a pure security company. We're doing both. And we do it well, intelligently, thoughtfully security is gonna be built into our platform, not voted on. Okay. And there'll be certain security things that we do organically. There's gonna be a lot that we do through partnerships, this >>Security market that's coming to you. You don't have to go claim that you're now a security vendor, right? The market very naturally saying, wow, a comprehensive security strategy has to incorporate a data protection strategy and a recovery, you know, and the things that we've talking about Mount ransomware, I want to ask you, you I've been around a long time, longer than you actually Sanjay. So, but you you've, you've seen a lot. You look, >>Thank you. That's all good. Oh, >>Shucks. So the market, I've never seen a market like this, right? I okay. After the.com crash, we said, and I know you can't talk about IPO. That's not what I'm talking about, but everything was bad after that. Right. 2008, 2000, everything was bad. I've never seen a market. That's half full, half empty, you know, snowflake beats and raises the stock, goes through the roof. Dev if it, if the area announced today, Mongo, DB, beat and Ray, that things getting crushed and, and after market never seen anything like this. It's so fed, driven and, and hard to protect. And, and of course, I know it's a marathon, you know, it's not a sprint, but have you ever seen anything like this? >>Listen, I walk worked through 18 quarters as COO of VMware. You've seen where I've seen public quarters there and you know, was very fortunate. Thanks to the team. I don't think I missed my numbers in 18 quarters except maybe once close. But we, it was, it's tough. Being a public company of the company is tough. I did that also at SAP. So the journey from 10 to 20 billion at SAP, the journey from six to 12 at VMware, that I was able to be fortunate. It's humbling because you, you really, you know, we used to have this, we do the earnings call and then we kind of ask ourselves, what, what do you think the stock price was gonna be a day and a half later? And we'd all take bets as to where this, I think you just basically, as a, as a sea level executive, you try to build a culture of beaten, raise, beaten, raise, beaten, raise, and you wanna set expectations in a way that you're not setting them up for failure. >>And you know, it's you, there's, Dave's a wonderful CEO as is Frank Salman. So it's hard for me to dissect. And sometimes the market are fickle on some small piece of it. But I think also the, when I, I encourage people say, take the long term view. When you take the long term view, you're not bothered about the ups and downs. If you're building a great company over the length of time, now it will be very clear over the arc of many, many quarters that you're business is trouble. If you're starting to see a decay in growth. And like, for example, when you start to see a growth, start to decay significantly by five, 10 percentage points, okay, there's something macro going on at this company. And that's what you won't avoid. But these, you know, ups and downs, my view is like, if you've got both Mongo D and snowflake are fantastic companies, they're CEOs of people I respect. They've actually kind of an, a, you know, advisor to us as a company, you knows moat very well. So we respect him, respect Frank, and you, there have been other quarters where Frank's, you know, the Snowflake's had a down result after that. So you build a long term and they are on the right side of history, snowflake, and both of them in terms of being a modern cloud relevant in the case of MongoDB, open source, two data technology, that's, you know, winning, I, I, we would like to be like them one day >>As, as the new CEO of cohesive, what are you most ask? What are you most anxious about and what are you most excited about? >>I think, listen, you know, you know, everything starts with the employee. You, I always believe I wrote my first memo to all employees. There was an article in Harvard business review called service profit chains that had a seminal impact on my leadership, which is when they studied companies who had been consistently profitable over a long period of time. They found that not just did those companies serve their customers well, but behind happy engaged customers were happy, engaged employees. So I always believe you start with the employee and you ensure that they're engaged, not just recruiting new employees. You know, I put on a tweet today, we're hiring reps and engineers. That's okay. But retaining. So I wanna start with ensuring that everybody, sometimes we have to make some unfortunate decisions with employees. We've, we've got a part company with, but if we can keep the best and brightest retained first, then of course, you know, recruiting machine, I'm trying to recruit the best and brightest to this company, people all over the place. >>I want to get them here. It's been, so I mean, heartwarming to come Tom world and just see people from all walks, kind of giving me hugs. I feel incredibly blessed. And then, you know, after employees, it's customers and partners, I feel like the tech is in really good hands. I don't have to worry about that. Cuz Mo it's in charge. He's got this thing. I can go to bed knowing that he's gonna keep innovating the future. Maybe in some of the companies I've worried about the tech innovation piece, but most doing a great job there. I can kind of leave that in his cap of hands, but employees, customers, partners, that's kind of what I'm focused on. None of them are for me, like a keep up at night, but there are are opportunities, right? And sometimes there's somebody you're trying to salvage to make sure or somebody you're trying to convince to join. >>But you know, customers, I love pursuing customers. I love the win. I hate to lose. So fortune 1000 global, 2000 companies, small companies, big companies, I wanna win every one of them. And it's not, it's not like, I mean, I know all these CEOs in my competitors. I texted him the day I joined and said, listen, I'll compete, honorably, whatever have you, but it's like Kobe and LeBron Kobe's passed away now. So maybe it's Steph Curry. LeBron, whoever your favorite athlete is you put your best on the court and you win. And that's how I am. That's nothing I've known no other gear than to put my best on the court and win, but do it honorably. It should not be the one that you're doing it. Unethically. You're doing it personally. You're not calling people's names. You're competing honorably. And when you win the team celebrates, it's not a victory for me. It's a victory for the team. >>I always think I'm glad that you brought up the employee experience and we're almost out of time, but I always think the employee experience and the customer experience are inextricably linked. This employees have to be empowered. They have to have the data that they need to do their job so that they can deliver to the customer. You can't do one without the other. >>That's so true. I mean, I, it's my belief. And I've talked also on this show and others about servant leadership. You know, one of my favorite poems is Brenda Naor. I went to bed in life. I dreamt that life was joy. I woke up and realized life was service. I acted in service was joy. So when you have a leadership model, which is it's about, I mean, there's lots of layers between me and the individual contributor, but I really care about that sales rep and the engineer. That's the leaf level of the organization. What can I get obstacle outta their way? I love skipping levels of going right. That sales rep let's go and crack this deal. You know? So you have that mindset. Yeah. I mean, you, you empower, you invert the pyramid and you realize the power is at the leaf level of an organization. >>So that's what I'm trying to do. It's a little easier to do it with 2000 people than I dunno, either 20, 20, 2000 people or 35,000 reported me at VMware. And I mean a similar number at SAP, which was even bigger, but you can shape this. Now we are, we're not a startup anymore. We're a midsize company. We'll see. Maybe along the way, there's an IP on the path. We'll wait for that. When it comes, it's a milestone. It's not the destination. So we do that and we are, we, I told people we are gonna build this green company. Cohesive is gonna be a great company like VMware one day, like Amazon. And there's always a day of early beginnings, but we have to work harder. This is kind of like the, you know, eight year old version of your kid, as opposed to the 18 year old version of the kid. And you gotta work a little harder. So I love it. Yeah. >>Good luck. Awesome. Thank you. Best of luck. Congratulations. On the role, it sounds like there's a tremendous amount of adrenaline, a momentum carrying you forward Sanjay. We always appreciate having you. Thank >>You for having in your show. >>Thank you. Our pleasure, Lisa. Thank you for Sanja poin and Dave ante. I'm Lisa Martin. You're watching the cube live from VMware Explorer, 2022, stick around our next guest. Join us momentarily.

>>Good afternoon, everyone. And welcome back to the Cube's day two coverage of VMware Explorer, 2022 live from San Francisco. Lisa Martin, here with Dave. Valante good to be sitting next to you, sir. >>Yeah, the big >>Set and we're very excited to be welcoming back. One of our esteemed alumni Sanja poin joins us, the CEO and president of cohesive. Nice to see >>You. Thank you, Lisa. Thank you, Dave. It's great to meet with you all the time and the new sort of setting here, but >>First time we've been in west, is that right? We've been in north. We've been in south. We've been in Las Vegas, right. But west >>Nice. Well, I mean, it's also good to be back with live shows with absolutely, you know, after sort of the two or three or high. And it was a hard time for the whole world, but I'm kind of driving a little bit of adrenaline just being here with people. So >>You've also got some adrenaline, sorry, Dave. Yeah, you're good because you are new in the role at cohesive. You wrote a great blog that you are identified. The four reasons I came to cohesive. Tell the audience, just give 'em a little bit of a teaser about that. >>Yeah, I think you should all read it. You can Google and, and Google find that article. I talked about the people Mohi is a fantastic founder. You know, he was the, you know, the architect of the Google file system. And you know, one of the senior Google executives who was on my board, bill Corrin said one of the smartest engineers. He was the true father of hyperconverge infrastructure. A lot of the code of Nutanix. He wrote, I consider him really the father of that technology, which brought computer storage. And when he took that same idea of bringing compute to secondary storage, which is really what made the scale out architect unique. And we were at your super cloud event talking about that, Dave. Yeah. Right. So it's a people I really got to respect his smarts, his integrity and the genius, what he is done. >>I think the customer base, I called a couple of customers. One of them, a fortune 100 customer. I, I can't tell you who it was, but a very important customer. I've known him. He said, I haven't seen tech like this since VMware, 20 years ago, Amazon 10 years ago. And now COER so that's special league. We're winning very much in the enterprise and that type of segment, the partners, you know, we have HPE, Cisco as investors, Amazon's an investors. So, you know, and then finally the opportunity, I think this whole area of data management and data security now with threats, like ransomware big opportunity. >>Sure. Okay. So when you were number two at VMware, you would come on and say, we'd love all our partners and of course, okay. So you know, a little bit about how to work with, with VMware. So, so when you now think about the partnership between cohesive and VMware, what are the things that you're gonna stress to your constituents on the VMware side to convince them that Hey, partnering with cohesive is gonna gonna drive more value for customers, you know, put your thumb on the scale a little bit. You know, you gotta, you gotta unfair advantage somewhat, but you should use it. So what's the narrative gonna be like? >>Yeah. I think listen with VMware and Amazon, that probably their top two partners, Dave, you know, like one of the first calls I made was to Raghu and he knew about this decision before. That's the level of trust I have in him. I even called Michael Dell, you know, before I made the decision, there's a little bit of an overlap with Dell, but it's really small compared to the overlap, the potential with Dell hardware that we could compliment. And then I called four CEOs. I was, as I was making this decision, Andy Jassy at Amazon, he was formerly AWS CEO sat Nadela at Microsoft Thomas cor at Google and Arvin Christian at IBM to say, I'm thinking about this making decision. They are many of the mentors and friends to me. So I believe in an ecosystem. And you know, even Chuck Robbins, who the CEO of Cisco is an investor, I texted him and said, Hey, finally, we can be friends. >>It was harder to us to be friends with Cisco, given the overlap of NEX. So I have a big tent towards everybody in our ecosystem with VMware. I think the simple answer is there's no overlap okay. With, with the kind of the primary storage capabilities with VSAN. And by the same thing with Nutanix, we will be friends and, and extend that to be the best data protection solution. But given also what we could do with security, I think this is gonna go a lot further. And then it's all about meet in the field. We have common partners. I think, you know, sort of the narrative I talked about in that blog is just like snowflake was replacing Terada and ServiceNow replace remedy and CrowdStrike, replacing Symantec, we're replacing legacy vendors. We are viewed as the modern solution cloud optimized for private and public cloud. We can help you and make VMware and VSAN and VCF very relevant to that part of the data management and data security continuum, which I think could enhance VMware. And by the way, the same thing into the public cloud. So most of the places where we're being successful is clearly withs, but increasingly there's this discussion also about playing into the cloud. So I think both with VMware and Amazon, and of course the other partners in the hyperscaler service, storage, networking place and security, we have some big plans. >>How, how much do you see this? How do you see this multi-cloud narrative that we're hearing here from, from VMware evolving? How much of an opportunity is it? How are customers, you know, we heard about cloud chaos yesterday at the keynote, are customers, do they, do they admit that there's cloud chaos? Some probably do some probably don't how much of an opportunity is that for cohesive, >>It's tremendous opportunity. And I think that's why you need a Switzerland type player in this space to be successful. And you know, and you can't explicitly rule out the fact that the big guys get into this space, but I think it's, if you're gonna back up office 365 or what they call now, Microsoft 365 into AWS or Google workspace into Azure or Salesforce into one of those clouds, you need a Switzerland player it's gonna be out. And in many cases, if you're gonna back up data or you protect that data into AWS banks need a second copy of that either on premise or Azure. So it's very hard, even if they have their own native data protection for them to be dual cloud. So I think a multi-cloud story and the fact that there's at least three big vendors of cloud in, in the us, you know, one in China, if include Alibaba creates a Switzerland opportunity for us, that could be fairly big. >>And I think, you know, what we have to do is make sure while we'll be optimized, our preferred cloud is AWS. Our control plane runs there. We can't take an all in AWS stack with the control plane and the data planes at AWS to Walmart. So what I've explained to both Microsoft and AWS is that data plane will need to be multicloud. So I can go to an a Walmart and say, I can back up your data into Azure if you choose to, but the control, plane's still gonna be an AWS, same thing with Google. Maybe they have another account. That's very Google centric. So that's how we're gonna play the, the control plane will be in AWS. We'll optimize it there, but the data plane will be multi-cloud. >>Yeah. And that's what Mo had explained at Supercloud. You know, and I talked to, he really helped me hone in on the deployment models. Yes. Where, where, where the cohesive deployment model is instantiating that technology stack into each cloud region and each cloud, which gives you latency advantages and other advantages >>And single code based same platform, >>And then bringing it, tying it together with a unified, you know, interface. That was he, he was, he was key. In fact, I, I wrote about it recently and, and gave him and the other 20, >>Quite a bit in that session. Yeah. So he went deep with you. I >>Mean, with Mohi, when you get a guy who developed a Google file system, you know, who can technically say, okay, this is technically correct or no, Dave, your way off be so I that's why I had to >>Go. I, I thought you did a great job in that interview because you probed him pretty deep and I'm glad we could do that together with him next time. Well, maybe do that together here too, but it was really helpful. He's the, he's the, he's the key reason I'm here. >>So you say data management is ripe for disrupt disruption. Talk about that. You talked about this Switzerland effect. That sounds to me like a massive differentiator for cohesive. Why is data management right. For disruption and why is cohesive the right partner to do it? >>Yeah, I think, listen, everyone in this sort of data protection backup from years ago have been saying the S Switzerland argument 18 years ago, I was a at Veras an executive there. We used the Switzerland argument, but what's changed is the cloud. And what's changed as a threat vector in security. That's, what's changed. And in that the proposition of a, a Switzerland player has just become more magnified because you didn't have a sales force or Workday service now then, but now you do, you didn't have multi-cloud. You had hardware vendors, you know, Dell, HPE sun at the time. IBM, it's now Lenovo. So that heterogeneity of, of on-premise service, storage, networking, HyperCloud, and, and the apps world has gotten more and more diverse. And I think you really need scale out architectures. Every one of the legacy players were not built with scale out architectures. >>If you take that fundamental notion of bringing compute to storage, you could almost paralyze. Imagine you could paralyze backup recovery and bring so much scale and speed that, and that's what Mo invented. So he took that idea of how he had invented and built Nutanix and applied that to secondary storage. So now everything gets faster and cheaper at scale. And that's a disruptive technology ally. What snowflake did to ator? I mean, the advantage of snowflake is when you took that same concept data, warehousing is not a new concept it's existed from since Ralph Kimble and bill Inman and the people who are fathers of data warehousing, they took that to Webscale. And in that came a disruptive force toter data, right? And snowflake. And then of course now data bricks and big query, similar things. So we're doing the same thing. We just have to showcase the customers, which we do. And when large customers see that they're replacing the legacy solutions, I have a lot of respect for legacy solutions, but at some point in time of a solution was invented in 1995 or 2000, 2005. It's right. For change. >>So you use snowflake as an example, Frank sluman doesn't like when I say playbook, cuz I says, Dave, I'm a situational. See you no playbook, but there are patterns here. And one of the things he did is to your point go after, you know, Terra data with a better data warehouse, simplify scale, et cetera. And now he's, he's a constructing a Tam expansion strategy, same way he did at ServiceNow. And I, you guys following a similar pattern. Okay. You get your foot in the door. Let's face it. I mean, a lot of this started with, you know, just straight back. Okay, great. Now it's extending into data management now extending to multi-cloud that's like concentric circles in a Tam expansion strategy. How, how do as, as a CEO, that's part of your job is Tam expansion. >>So yeah, I think the way to think about the Tam is, I mean, people say it's 20, 30 billion, but let me tell you how you can piece it apart in size, Dave and Lisa number one, I estimate there's probably about 10 to 20 exabytes of data managed by these legacy players of on-prem stores that they back up to. Okay. So you add them all up in the market shares that they respectively are. And by the way, at the peak, the biggest of these companies got to 2 billion and then shrunk. That was Verto when I was there in 2004, 2 billion, every one of them is small and they stopped growing. You look at the IDC charts. Many of them are shrinking. We are the fastest growing in the last two years, but I estimate there's about 20 exabytes of data that collectively among the legacy players, that's either gonna stay on prem or move to the cloud. Okay. So the opportunity as they replace one of those legacy tools with us is first off to manage that 20 X bike cheaper, faster with the Webscale, a glass or for the cloud guys, we could tip that into the cloud. Okay. >>But you can't stop there. >>Okay. No, we are not doing just back recovery. Right. We have a platform that can do files. We can do test dev analytics and now security. Okay. That data is potentially at a risk, not so much in the past, but for ransomware, right? How do we classify that? How do we govern that data? How do we run potential? You know, the same way you did antivirus some kind of XDR algorithms on the data to potentially not just catch the recovery process, which is after fact, but maybe the predictive act of before to know, Hey, there's somebody loitering around this data. So if I'm basically managing in the exabytes of data and I can proactively tell you what, this is, one CIO described this very simply to me a few weeks ago that I, and she said, I have 3000 applications, okay. I wanna be prepared for a black Swan event, except it's not a nine 11 planes hitting the, the buildings. >>It is an extortion event. And I want to know when that happens, which of my 3000 apps I recover within one hour within one day within one week, no lay than one month. Okay. And I don't wanna pay the bad guys of penny. That's what we do. So that's security discussions. We didn't have that discussion in 2004 when I was at another company, because we were talking about flood floods and earthquakes as a disaster recovery. Now you have a lot more security opportunity to be able to describe that. And that's a boardroom discussion. She needs to have that >>Digital risk. O O okay, go ahead please. I >>Was just gonna say, ransomware attack happens every what? One, every 11, 9, 11 seconds. >>And the dollar amount are going up, you know, dollar of what? >>Yep. And, and when you pay the ransom, you don't always get your data back. So you that's >>Not. And listen, there's always an ethical component. Should you do it or not do it? If you, if you don't do it and you're threatened, they may have left an Easter egg there. Listen, I, I feel very fortunate that I've been doing a lot in security, right? I mean, I built the business at, at, at VMware. We got it to over a billion I'm on the board of sneak. I've been doing security and then at SAP ran. So I know a lot about security. So what we do in security and the ecosystem that supports us in security, we will have a very carefully crafted stay tuned. Next three weeks months, you'll see us really rolling out a very kind of disciplined aspect, but we're not gonna pivot this company and become a cyber security company. Some others in our space have done that. I think that's not who we are. We are a data management and a data security company. We're not just a pure security company. We're doing both. And we do it well, intelligently, thoughtfully security is gonna be built into our platform, not bolted on, okay. And there'll be certain security things that we do organically. There's gonna be a lot that we do through partnerships, >>This security market that's coming to you. You don't have to go claim that you're now a security vendor, right? The market very naturally saying, wow, a comprehensive security strategy has to incorporate a data protection strategy and a recovery, you know, and the things we've talking about, Mount ransomware, I want to ask you, you know, I've been around a long time, longer than you actually Sanjay. So, but you you've, you've seen a lot. You look incredibly, >>Thank you. That's all good. Oh, >>Shocks. So the market, I've never seen a market like this, right? I okay. After the.com crash, we said, and I know you can't talk about IPO. That's not what I'm talking about, but everything was bad after that. Right. 2008, 2000, everything was bad. I've never seen a market. That's half full, half empty, you know, snowflake beats and raises the stock, goes through the roof. Dev if it, the area announced today, Mongo, DB, beat and Ray, that things getting crushed. And, and after market never seen anything like this. It's so fed, driven and, and hard to protect. And, and of course, I know it's a marathon, you know, it's not a sprint, but have you ever seen anything like this? >>Listen, I walk worked through 18 quarters as COO of VMware. You seen, I've seen public quarters there and you know, was very fortunate. Thanks to the team. I don't think I missed my numbers in 18 quarters except maybe once close. But we, it was, it's tough. Being a public company. Officer of the company is tough. I did that also at SAP. So the journey from 10 to 20 billion at SAP, the journey from six to 12 at VMware, that I was able to be fortunate. It's humbling because you, you really, you know, we used to have this, we do the earnings call and then we kind of ask ourselves, what, what do you think the stock price was gonna be a day and a half later? And we'd all take bets as to wear this. I think you just basically, as a, as a sea level executive, you try to build a culture of beaten, raise, beaten, raise, beaten, raise, and you wanna set expectations in a way that you're not setting them up for failure. >>And you know, it's you, there's, Dave's a wonderful CEO as is Frank movement. So it's hard for me to dissect. And sometimes the market are fickle on some small piece of it. But I think also the, when I, I encourage people say, take the long term view. When you take the long term view, you're not bothered about the ups and downs. If you're building a great company over the length of time, now it will be very clear over the arc of many, many quarters that you're business is trouble. If you're starting to see a decay in growth. And like, for example, when you start to see a growth, start to decay significantly by five, 10 percentage points, okay, there's something macro going on at this company. And that's what you won't avoid. But these, you know, ups and downs, my view is like, if you've got both Mongo, DIA and snowflake are fantastic companies, they're CEOs of people I respect. They've actually a kind of an, a, you know, advisor to us as a company, you knows mot very well. So we respect him, respect Frank, and you, there have been other quarters where Frank's, you know, the snowflakes had a down result after that. So you build a long term and they are on the right side of history, snowflake, and both of them in terms of being a modern cloud relevant in the case of MongoDB open source to data technology, that's, you know, winning, I, we would like to be like them one day >>As, as the new CEO of cohesive, what are you most, what are you most anxious about? And what are you most excited about? >>I think, listen, you know, you know, everything starts with the employee. You, I always believe I wrote my first memo to all employees. There was an article in Harvard business review called service profit chains that had a seminal impact on my leadership, which is when they studied companies who had been consistently profitable over a long period of time. They found that not just did those companies serve their customers well, but behind happy engaged customers were happy, engaged employees. So I always believe you start with the employee and you ensure that they're engaged, not just recruiting new employees. You know, I put on a tweet today, we're hiring reps and engineers. That's okay. But retaining. So I wanna start with ensuring that everybody, sometimes we have to make some unfortunate decisions with employees. We've, we've got a part company with, but if we can keep the best and brightest retained first, then of course, you know, recruiting machine, I'm trying to recruit the best and brightest to this company, people all over the place. >>I want to get them here. It's been, so I mean, heartwarming to come to world and just see people from all walks, kind of giving me hugs. I feel incredibly blessed. And then, you know, after employees, it's customers and partners, I feel like the tech is in really good hands. I don't have to worry about that. Cuz Mo it's in charge. He's got this thing. I can go to bed knowing that he's gonna keep innovating the future. Maybe in some of the companies, I would worried about the tech innovation piece, but most doing a great job there. I can kind of leave that in his cap of hands, but employees, customers, partners, that's kind of what I'm focused on. None of them are for me, like a keep up at night, but they're are opportunities, right? And sometimes there's somebody you're trying to salvage to make sure or somebody you're trying to convince to join. >>But you know, customers, I love pursuing customers. I love the win. I hate to lose. So fortune 1000 global, 2000 companies, small companies, big companies, I wanna win every one of 'em and it's not, it's not like, I mean, I know all these CEOs in my competitors. I texted him the day I joined and said, listen, I'll compete, honorably, whatever have you, but it's like Kobe and LeBron Kobe's passed away now. So maybe it's step Curry. LeBron, whoever your favorite athlete is you put your best on the court and you win. And that's how I am. That's nothing I've known no other gear than to put my best on the court and win, but do it honorably. It should not be the one that you're doing it. Unethically. You're doing it personally. You're not calling people's names. You're competing honorably. And when you win the team celebrates, it's not a victory for me, it's a victory for the team. >>I always think I'm glad that you brought out the employee experience and we're almost out of time, but I always think the employee experience and the customer experience are inextricably linked. This employees have to be empowered. They have to have the data that they need to do their job so that they can deliver to the customer. You can't do one without the other. >>That's so true. I mean, I, it's my belief. And I've talked also on this show and others about servant leadership. You know, one of my favorite poems is Brenda NA Tago. I went to bed in life. I dreamt that life was joy. I woke up and realized life was service. I acted in service was joy. So when you have a leadership model, which is it's about, I mean, there's lots of layers between me and the individual contributor, but I really care about that sales rep and the engineer. That's the leaf level of the organization. What can I get obstacle outta their way? I love skipping levels and going write that sales rep let's go and crack this deal. You know? So you have that mindset. Yeah. I mean, you, you empower, you invert the pyramid and you realize the power is at the leaf level of an organization. >>So that's what I'm trying to do. It's a little easier to do it with 2000 people than I dunno, either 20, 20, 2000 people or 35,000 reported me at VMware. And I mean a similar number at SAP, which was even bigger, but you can shape this. Now we are, we're not a startup anymore. We're a mid-size company. We'll see. Maybe along the way, there's an IP on the path. We'll wait for that. When it comes, it's a milestone. It's not the destination. So we do that and we are, we, I told people we are gonna build this green company. Cohesive is gonna be a great company like VMware one day, like Amazon. And there's always a day of early beginnings, but we have to work harder. This is kind of like the, you know, eight year old version of your kid, as opposed to the 18 year old version of the kid. And you gotta work a little harder. So I love it. Yeah. >>Good luck. Awesome. Thank you too. Best of luck. Congratulations on the role, it sounds like there's a tremendous amount of adrenaline, a momentum carrying you forward Sanja. We always appreciate having thank >>You for having in your show. >>Thank you. Our pleasure, Lisa. Thank you for Sanjay poin and Dave ante. I'm Lisa Martin. You're watching the cube live from VMware Explorer, 2022, stick around our next guest. Join us momentarily.

>>Hello. Welcome back to our super cloud 22 event. I'm John F host the cue with my co-host Dave ante. Extracting the signal from noise. We're proud to have two amazing cube alumnis here. We got Sanja Putin. Who's now the CEO of cohesive the emo Aaron who's the CTO. Co-founder also former CEO Cub alumni. The father of hyper-converged welcome back to the cube I endorsed the >>Cloud. Absolutely. Is the father. Great >>To see you guys. Thank thanks for coming on and perfect timing. The new job taking over that. The helm Mo it at cohesive big news, but part of super cloud, we wanna dig into it. Thanks for coming on. >>Thank you for having >>Us here. So first of all, we'll get into super before we get into the Supercloud. I want to just get the thoughts on the move Sanjay. We've been following your career since 2010. You've been a cube alumni from that point, we followed that your career. Why cohesive? Why now? >>Yeah, John David, thank you first and all for having us here, and it's great to be at your event. You know, when I left VMware last year, I took some time off just really primarily. I hadn't had a sabbatical in probably 18 years. I joined two boards, Phillips and sneak, and then, you know, started just invest and help entrepreneurs. Most of them were, you know, Indian Americans like me who were had great tech, were looking for the kind of go to market connections. And it was just a wonderful year to just de to unwind a bit. And along the, the way came CEO calls. And I'd asked myself, the question is the tech the best in the industry? Could you see value creation that was signi significant and you know, three, four months ago, Mohit and Carl Eschenbach and a few of the board members of cohesive called me and walk me through Mo's decision, which he'll talk about in a second. And we spent the last few months getting to know him, and he's everything you describe. He's not just the father of hyperconverge. And he wrote the Google file system, wicked smart, built a tech platform better than that second time. But we had to really kind of walk through the chemistry between us, which we did in long walks in, in, you know, discrete places so that people wouldn't find us in a Starbucks and start gossiping. So >>Why Sanjay? There you go. >>Actually, I should say it's a combination of two different decisions. The first one was to, for me to take a different role and I run the company as a CEO for, for nine years. And, you know, as a, as a technologist, I always like, you know, going deep into technology at the same time, the CEO duties require a lot of breadth, right? You're talking to customers, you're talking to partners, you're doing so much. And with the way we've been growing the with, you know, we've been fortunate, it was becoming hard to balance both. It's really also not fair to the company. Yeah. So I opted to do the depth job, you know, be the visionary, be the technologist. And that was the first decision to bring a CEO, a great CEO from outside. >>And I saw your video on the site. You said it was your decision. Yes. Go ahead. I have to ask you, cuz this is a real big transition for founders and you know, I have founder artists cuz everyone, you know, calls me that. But being the founder of a company, it's always hard to let go. I mean nine years as CEO, it's not like you had a, you had a great run. So this was it timing for you? Was it, was it a structural shift, like at super cloud, we're talking about a major shift that's happening right now in the industry. Was it a balance issue? Was it more if you wanted to get back in and in the tech >>Look, I, I also wanna answer, you know, why Sanja, but, but I'll address your question first. I always put the company first what's right for the company. Is it for me to start get stuck the co seat and try to juggle this depth and Brad simultaneously. I mean, I can stroke my ego a little bit there, but it's not good for the company. What's best for the company. You know, I'm a technologist. How about I oversee the technology part in partnership with so many great people I have in the company and I bring someone kick ass to be the CEO. And so then that was the second decision. Why Sanja when Sanjay, you know, is a very well known figure. He's managed billions of dollars of business in VMware. You know, been there, done that has, you know, some of the biggest, you know, people in the industry on his speed dial, you know, we were really fortunate to have someone like that, come in and accept the role of the CEO of cohesive. I think we can take the company to new Heights and I'm looking forward to my partnership with, with Sanja on this. >>It it's we, we called it the splash brothers and >>The, >>In the vernacular. It doesn't matter who gets the ball, whether it's step clay, we shoot. And I think if you look at some of the great partnerships, whether it was gates bomber, there, plenty of history of this, where a founder and a someone who was, it has to be complimentary skills. If I was a technologist myself and wanted to code we'd clash. Yeah. But I think this was really a match me in heaven because he, he can, I want him to keep innovating and building the best platform for today in the future. And our customers tell one customer told me, this is the best tech they've seen since VMware, 20 years ago, AWS, 10 years ago. And most recently this was a global 100 big customers. So I feel like this combination, now we have to show that it works. It's, you know, it's been three, four months. My getting to know him, you know, I'm day eight on the job, but I'm loving it. >>Well, it's a sluman model too. It's more modern example. You saw, he did it with Fred Ludy at service now. Yes. And, and of course at, at snowflake, yeah. And his book, you read his book. I dunno if you've read his book, amp it up, but app it up. And he says, I always you'll love this. Give great deference to the founder. Always show great respect. Right. And for good reason. So >>In fact, I mean you could talk to him, you actually met to >>Frank. I actually, you know, a month or so back, I actually had dinner with him in his ranch in Moana. And I posed the question. There was a number of CEOs that went there and I posed him the question. So Frank, you know, many of us, we grow being deaf guys, you know? And eventually when we take on the home of our CEO, we have to do breadth. How do you do it? And he's like, well, let me tell you, I was never a death guy. I'm a breath guy. >>I'm like, >>That's my answer. Yeah. >>So, so I >>Want the short story. So the day I got the job, I, I got a text from Frank and I said, what's your advice the first time CEO, three words, amp it up, >>Amp it up. Right? Yeah. >>And so you're always on brand, man. >>So you're an amazing operator. You've proven that time and time again at SAP, VMware, et cetera, you feel like now you, you, you wanna do both of those skills. You got the board and you got the operations cuz you look, you know, look at sloop when he's got Scarelli wherever he goes, he brings Scarelli with him as sort of the operator. How, how do you, how are you thinking >>About that? I mean it's early days, but yeah. Yeah. Small. I mean I've, you know, when I was, you know, it was 35,000 people at VMware, 80, 90,000 people at SAP, a really good run. The SAP run was 10 to 20 billion innovative products, especially in analytics and VMware six to 12 end user computing cloud. So I learned a lot. I think the company, you know, being about 2000 employees plus not to mayor tomorrow, but over the course next year I can meet everybody. Right? So first off the executive team, 10 of us, we're, we're building more and more cohesiveness if I could use that word between us, which is great, the next, you know, layers of VPs and every manager, I think that's possible. So I I'm a people person and a customer person. So I think when you take that sort of extroverted mindset, we'll bring energy to the workforce to, to retain the best and then recruit the best. >>And you know, even just the week we, we were announced that this announcement happened. Our website traffic went through the roof, the highest it's ever been, lots of resumes coming in. So, and then lots of customer engagement. So I think we'll take this, but I, I feel very good about the possibilities, because see, for me, I didn't wanna walk into the company to a company where the technology risk was high. Okay. I feel like that I can go to bed at night and the technology risk is low. This guy's gonna run a machine at the current and the future. And I'm hearing that from customers. Now, what I gotta do is get the, the amp it up part on the go to market. I know a little thing or too about >>That. You've got that down. I think the partnership is really key here. And again, nine use the CEO and then Sanja points to our super cloud trend that we've been looking at, which is there's another wave happening. There's a structural change in real time happening now, cloud one was done. We saw that transition, AWS cloud native now cloud native with an kind of operating system kind of vibe going on with on-premise hybrid edge. People say multi-cloud, but we're looking at this as an opportunity for companies like cohesive to go to the next level. So I gotta ask you guys, what do you see as structural change right now in the industry? That's disruptive. People are using cloud and scale and data to refactor their business models, change modern cases with cloud native. How are you guys looking at this next structural change that's happening right now? Yeah, >>I'll take that. So, so I'll start by saying that. Number one, data is the new oil and number two data is exploding, right? Every year data just grows like crazy managing data is becoming harder and harder. You mentioned some of those, right? There's so many cloud options available. Cloud one different vendors have different clouds. There is still on-prem there's edge infrastructure. And the number one problem that happens is our data is getting fragmented all over the place and managing so many fragments of data is getting harder and harder even within a cloud or within on-prem or within edge data is fragmented. Right? Number two, I think the hackers out there have realized that, you know, to make money, it's no longer necessary to Rob banks. They can actually see steal the data. So ransomware attacks on the rise it's become a boardroom level discussion. They say there's a ransomware attack happening every 11 seconds or so. Right? So protecting your data has become very important security data. Security has become very important. Compliance is important, right? So people are looking for data management solutions, the next gen data management platform that can really provide all this stuff. And that's what cohesive is about. >>What's the difference between data management and backup. Explain that >>Backup is just an entry point. That's one use case. I wanna draw an analogy. Let's draw an analogy to my former company, Google right? Google started by doing Google search, but is Google really just a search engine. They've built a platform that can do multiple things. You know, they might have started with search, but then they went down to roll out Google maps and Gmail and YouTube and so many other things on that platform. So similarly backups might be just the first use case, but it's really about that platform on which you can do more with the data that's next gen data management. >>But, but you am, I correct. You don't consider yourself a security company. One of your competitors is actually pivoting and in positioning themselves as a security company, I've always felt like data management, backup and recovery data protection is an adjacency to security, but those two worlds are coming together. How do you see >>It? Yeah. The way I see it is that security is part of data management. You start maybe by backing with data, but then you secure it and then you do more with that data. If you're only doing security, then you're just securing the data. You, you gotta do more with the data. So data management is much bigger. So >>It's a security is a subset of data. I mean, there you go. Big TA Sanjay. >>Well, I mean I've, and I, I, I I'd agree. And I actually, we don't get into that debate. You know, I've told the company, listen, we'll figure that out. Cuz who cares about the positioning at the bottom? My email, I say we are data management and data security company. Okay. Now what's the best word that describes three nouns, which I think we're gonna do management security and analytics. Okay. He showed me a beautiful diagram, went to his home in the course of one of these, you know, discrete conversations. And this was, I mean, he's done this before. Many, if you watch on YouTube, he showed me a picture of an ice big iceberg. And he said, listen, you know, if you look at companies like snowflake and data bricks, they're doing the management security and mostly analytics of data. That's the top of the iceberg, the stuff you see. >>But a lot of the stuff that's get backed archive is the bottom of the iceberg that you don't see. And you try to, if you try to ask a question on age data, the it guy will say, get a ticket. I'll come back with three days. I'll UNIV the data rehydrate and then you'll put it into a database. And you can think now imagine that you could do live searches analytics on, on age data that's analytics. So I think the management, the security, the analytics of, you know, if you wanna call it secondary data or backed up data or data, that's not hot and live warm, colder is a huge opportunity. Now, what do you wanna call one phrase that describes all of it. Do you call that superpower management security? Okay, whatever you wanna call it. I view it as saying, listen, let's build a platform. >>Some people call Google, a search company. People, some people call Google and information company and we just have to go and pursue every CIO and every CSO that has a management and a security and do course analytics problem. And that's what we're doing. And when I talk to the, you know, I didn't talk to all the 3000 customers, but the biggest customers and I was doing diligence. They're like this thing has got enormous potential. Okay. And we just have to now go focus, get every fortune 1000 company to pick us because this problem, even the first use case you talk back up is a little bit like, you know, razor blades and soap you've needed. You needed it 30 years ago and you'll need it for 30 years. It's just that the tools that were built in the last generation that were companies formed in 1990s, one of them I worked for years ago are aids are not built for the cloud. So I think this is a tremendous opportunity where many of those, those, those nos management security analytics will become part of what we do. And we'll come up with the right phrase for what the companies and do course >>Sanjay. So ma and Sanja. So given that given that's this Google transition, I like that example search was a data problem. They got sequenced to a broader market opportunity. What super cloud we trying to tease out is what does that change over from a data standpoint, cuz now the operating environments change has become more complex and the enterprises are savvy. Developers are savvy. Now they want, they want SAS solutions. They want freemium and expanding. They're gonna drive the operations agenda with DevOps. So what is the complexity that needs to be abstracted away? How do you see that moment? Because this is what people are talking about. They're saying security's built in, driven by developers. Developers are driving operations behavior. So what is the shift? Where do you guys see this new? Yeah. Expansive for cohesive. How do you fit into super cloud? >>So let me build up from that entry point. Maybe back up to what you're saying is the super cloud, right? Let me draw that journey. So let's say the legacy players are just doing backups. How, how sad is it that you have one silo sitting there just for peace of mind as an insurance policy and you do nothing with the data. If you have to do something with the data, you have to build another silo, you have to build another copy. You have to manage it separately. Right. So clearly that's a little bit brain damaged. Right. So, okay. So now you take a little bit of, you know, newer vendors who may take that backup platform and do a little bit more with that. Maybe they provide security, but your problem still remains. How do you do more with the data? How do you do some analytics? >>Like he's saying, right. How do you test development on that? How do you migrate the data to the cloud? How do you manage it? The data at scale? How do you do you provide a unified experience across, across multiple cloud, which you're calling the super cloud. That's where cohesive goes. So what we do, we provide a platform, right? We have tentacles in on-prem in each of the clouds. And on top of that, it looks like one platform that you manage. We have a single control plane, a UI. If you may, a single pin of glass, if, if you may, that our customers can use to manage all of it. And now it looks, starts looking like one platform. You mentioned Google, do you, when you go to, you know, kind Google search or a URL, do you really care? What happens behind the scenes mean behind the scenes? Google's built a platform that spans the whole world. No, >>But it's interesting. What's behind the scenes. It's a beautiful now. And I would say, listen, one other thing to pull on Dave, on the security part, I saw a lot of vendors this day in this space, white washing a security message on top of backup. Okay. And CSO, see through that, they'll offer warranties and guarantees or whatever, have you of X million dollars with a lot of caveats, which will never paid because it's like escape clause here. We won't pay it. Yeah. And, and what people really want is a scalable solution that works. And you know, we can match every warranty that's easy. And what I heard was this was the most scalable solution at scale. And that's why you have to approach this with a Google type mindset. I love the fact that every time you listen to sun pitch, I would, what, what I like about him, the most common word to use is scale. >>We do things at scale. So I found that him and AUR and some of the early Google people who come into the company had thought about scale. And, and even me it's like day eight. I found even the non-tech pieces of it. The processes that, you know, these guys are built for simple things in some cases were better than some of the things I saw are bigger companies I'd been used to. So we just have to continue, you know, building a scale platform with the enterprise. And then our cloud product is gonna be the simple solution for the masses. And my view of the world is there's 5,000 big companies and 5 million small companies we'll push the 5 million small companies as the cloud. Okay. Amazon's an investor in the company. AWS is a big partner. We'll talk about I'm sure knowing John's interest in that area, but that's a cloud play and that's gonna go to the cloud really fast. You not build you're in the marketplace, you're in the marketplace. I mean, maybe talk about the history of the Amazon relationship investing and all that. >>Yeah, absolutely. So in two years back late 2020, we, you know, in collaboration with AWS who also by the way is an investor now. And in cohesive, we rolled out what we call data management as a service. It's our SaaS service where we run our software in the cloud. And literally all customers have to do is just go there and sign on, right? They don't have to manage any infrastructure and stuff. What's nice is they can then combine that with, you know, software that they might have bought from cohesive. And it still looks like one platform. So what I'm trying to say is that they get a choice of the, of the way they wanna consume our software. They can consume it as a SAS service in the cloud. They can buy our software, manage it themselves, offload it to a partner on premises or what have you. But it still looks like that one platform, what you're calling a Supercloud >>Yeah. And developers are saying, they want the bag of Legos to compose their solutions. That's the Nirvana they want to get there. So that's, it has to look the same. >>Well, what is it? What we're calling a Superlo can we, can we test that for a second? So data management and service could span AWS and on-prem with the identical experience. So I guess I would call that a Supercloud I presume it's not gonna through AWS span multiple clouds, but, but >>Why not? >>Well, well interesting cuz we had this, I mean, so, okay. So we could in the future, it doesn't today. Well, >>David enough kind of pause for a second. Everything that we do there, if we do it will be customer driven. So there might be some customers I'll give you one Walmart that may want to store the data in a non AWS cloud risk cuz they're competitors. Right. So, but the control plane could still be in, in, in the way we built it, but the data might be stored somewhere else. >>What about, what about a on-prem customer? Who says, Hey, I, I like cohesive. I've now got multiple clouds. I want the identical experience across clouds. Yeah. Okay. So, so can you do that today? How do you do that today? Can we talk >>About that? Yeah. So basically think roughly about the split between the data plane and the control plane, the data plane is, you know, our cohesive clusters that could be sitting on premises that could be sitting in multiple data centers or you can run an instance of that cluster in the cloud, whichever cloud you choose. Right. That's what he was referring to as the data plane. So collectively all these clusters from the data plane, right? They stored the data, but it can all be managed using the control plane. So you still get that single image, the single experience across all clouds. And by the way, the, the, the, the cloud vendor does actually benefit because here's a customer. He mentioned a customer that may not wanna go to AWS, but when they get the data plane on a different cloud, whether it's Azure, whether it's the Google cloud, they then get data management services. Maybe they're able to replicate the data over to AWS. So AWS also gains. >>And your deployment model is you instantiate the cohesive stack on each of the regions and clouds, is that correct? And you building essentially, >>It all happens behind the scenes. That's right. You know, just like Google probably has their tentacles all over the world. We will instantiate and then make it all look like one platform. >>I mean, you should really think it's like a human body, right? The control planes, the head. Okay. And that controls everything. The data plane is large because it's a lot of the data, right? It's the rest of the body, that data plane could be wherever you want it to be. Traditionally, the part the old days was tape. Then you got disk. Now you got multiple clouds. So that's the way we think about it. And there on that piece of it will be neutral, right? We should be multi-cloud to the data plane being every single place. Cause it's customer demand. Where do you want your store data? Air gapped. On-prem no problem. We'll work with Dell. Okay. You wanna be in a particular cloud, AWS we'll work then optimized with S3 and glacier. So this is where I think the, the path to a multi-cloud or Supercloud is to be customer driven, but the control plane sits in Amazon. So >>We're blessed to have a number of, you know, technical geniuses in here. So earlier we were speaking to Ben wa deja VI, and what they do is different. They don't instantiate an individual, you know, regions. What they do is of a single global. Is there a, is there an advantage of doing it the way the cohesive does it in terms of simplicity or how do you see that? Is that a future direction for you from a technology standpoint? What are the trade offs there? >>So you want to be where the data is when you said single global, I take it that they run somewhere and the data has to go there. And in this day age, correct >>Said that. He said, you gotta move that in this >>Day and >>Age query that's, you know, across regions, look >>In this day and age with the way the data is growing, the way it is, it's hard to move around the data. It's much easier to move around the competition. And in these instances, what have you, so let the data be where it is and you manage it right there. >>So that's the advantage of instantiating in multiple regions. As you don't have to move the >>Data cost, we have the philosophy we call it. Let's bring the, the computation to the data rather than the data to >>The competition and the same security model, same governance model, same. How do you, how do you federate that? >>So it's all based on policies. You know, this overarching platform controlled by, by the control plane, you just, our customers just put in the policies and then the underlying nuts and bolts just take care >>Of, you know, it's when I first heard and start, I started watching some of his old videos, ACE really like hyperconverged brought to secondary storage. In fact, he said, oh yeah, that's great. You got it. Because I first called this idea, hyperconverged secondary storage, because the idea of him inventing hyperconverge was bringing compute to storage. It had never been done. I mean, you had the kind of big VC stuff, but these guys were the first to bring that hyperconverge at, at Nutanix. So I think this is that same idea of bringing computer storage, but now applied not to the warm data, but to the rest of the data, including a >>Lot of, what about developers? What's, what's your relationship with developers? >>Maybe you talk about the marketplace and everything >>He's yeah. And I'm, I'm curious as to do you have a PAs layer, what we call super PAs layer to create an identical developer experience across your Supercloud. I'm gonna my >>Term. So we want our customers not just to benefit from the software that we write. We also want them to benefit from, you know, software that's written by developers by third party people and so on and so forth. So we also support a marketplace on the platform where you can download apps from third party developers and run them on this platform. There's a, a number of successful apps. There's one, you know, look like I said, our entry point might be backups, but even when backups, we don't do everything. Look, for instance, we don't backup mainframes. There is a, a company we partner with, you know, and their software can run in our marketplace. And it's actually used by many, many of our financial customers. So our customers don't get, just get the benefit of what we build, but they also get the benefit of what third parties build. Another analogy I like to draw. You can tell. And front of analogy is I drew an analogy to hyperscale is like Google. Yeah. The second analogy I like to draw is that to a simple smartphone, right? A smartphone starts off by being a great phone. But beyond that, it's also a GPS player. It's a, it's a, it's a music player. It's a camera, it's a flashlight. And it also has a marketplace from where you can download apps and extend the power of that platform. >>Is that a, can we think of that as a PAs layer or no? Is it really not? You can, okay. You can say, is it purpose built for what you're the problem that you're trying to solve? >>So we, we just built APIs. Yeah. Right. We have an SDK that developers can use. And through those APIs, they get to leverage the underlying services that exist on the platform. And now developers can use that to take advantage of all that stuff. >>And it was, that was a key factor for me too. Cause I, what I, you know, I've studied all the six, seven players that sort of so-called leaders. Nobody had a developer ecosystem, nobody. Right? The old folks were built for the hardware era, but anyones were built for the cloud to it didn't have any partners were building on their platform. So I felt for me listen, and that the example of, you know, model nine rights, the name of the company that does back up. So there's, there's companies that are built on and there's a number of others. So our goal is to have a big tent, David, to everybody in the ecosystem to partner with us, to build on this platform. And, and that may take over time, but that's the way we're build >>It. And you have a metadata layer too, that has the intelligence >>To correct. It's all abstract. That that's right. So it's a combination of data and metadata. We have lots of metadata that keeps track of where the data is. You know, it allows you to index the data you can do quick searches. You can actually, you, we talking about the control plan from that >>Tracing, >>You can inject a search that'll through search throughout your multi-cloud environment, right? The super cloud that you call it. We have all that, all that goodness sounds >>Like a Supercloud John. >>Yeah. I mean, data tracing involved can trace the data lineage. >>You, you can trace the data lineage. So we, you know, provide, you know, compliance and stuff. So you can, >>All right. So my final question to wrap up, we guys, first of all, thanks for coming on. I know you're super busy, San Jose. We, we know what you're gonna do. You're gonna amp it up and, you know, knock all your numbers out. Think you always do. But what I'm interested in, what you're gonna jump into, cuz now you're gonna have the creative license to jump in to the product, the platform there has to be the next level in your mind. Can you share your thoughts on where this goes next? Love the control plane, separate out from the data plane. I think that plays well for super. How >>Much time do you have John? This guy's got, he's got a wealth. Ditis keep >>Going. Mark. Give us the most important thing you're gonna focus on. That kind of brings the super cloud and vision together. >>Yeah. Right away. I'm gonna, perhaps I, I can ion into two things. The first one is I like to call it building the, the machine, the system, right. Just to draw an analogy. Look, I draw an analogy to the us traffic system. People from all walks of life, rich, poor Democrats, Republicans, you know, different states. They all work in the, the traffic system and we drive well, right. It's a system that just works. Whereas in some other countries, you know, the system doesn't work. >>We know, >>We know a few of those. >>It's not about works. It's not about the people. It's the same people who would go from here to those countries and, and not dry. Well, so it's all about the system. So the first thing I, I have my sights on is to really strengthen the system that we have in our research development to make it a machine. I mean, it functions quite well even today, but wanna take it to the next level. Right. So that I wanna get to a point where innovation just happens in the grassroots. And it just, just like >>We automations scale optic brings all, >>Just happens without anyone overseeing it. Anyone there's no single point of bottleneck. I don't have to go take any diving catches or have you, there are people just working, you know, in a decentralized fashion and innovation just happens. Yeah. The second thing I work on of course is, you know, my heart and soul is in, you know, driving the vision, you know, the next level. And that of course is part of it. So those are the two things >>We heard from all day in our super cloud event that there's a need for an, an operating system. Yeah. Whether that's defacto standard or open. Correct. Do you see a consortium around the corner potentially to bring people together so that things could work together? Cuz there really isn't no stand there. Isn't a standards bodies. Now we have great hyperscale growth. We have on-prem we got the super cloud thing happening >>And it's a, it's kind of like what is an operating system? Operating system exposes some APIs that the applications can then use. And if you think about what we've been trying to do with the marketplace, right, we've built a huge platform and that platform is exposed through APIs. That third party developers can use. Right? And even we, when we, you know, built more and more services on top, you know, we rolled our D as we rolled out, backup as a service and a ready for thing security as a service governance, as a service, they're using those APIs. So we are building a distributor, putting systems of sorts. >>Well, congratulations on a great journey. Sanja. Congratulations on taking the hem. Thank you've got ball control. Now you're gonna be calling the ball cohesive as they say, it's, >>It's a team. It's, you know, I think I like that African phrase. If you want to go fast, you go alone. If you wanna go far, you go together. So I've always operated with the best deal. I'm so fortunate. This is to me like a dream come true because I always thought I wanted to work with a technologist that frees me up to do what I like. I mean, I started as an engineer, but that's not what I am today. Right? Yeah. So I do understand the product and this category I think is right for disruption. So I feel excited, you know, it's changing growing. Yeah. No. And it's a, it requires innovation with a cloud scale mindset and you guys have been great friends through the years. >>We'll be, we'll be watching you. >>I think it's not only disruption. It's creation. Yeah. There's a lot of white space that just hasn't been created yet. >>You're gonna have to, and you know, the proof, isn't the pudding. Yeah. You already have five of the biggest 10 financial institutions in the us and our customers. 25% of the fortune 500 users, us two of the biggest five pharmaceutical companies in the world use us. Probably, you know, some of the biggest companies, you know, the cars you have, you know, out there probably are customers. So it's already happening. >>I know you got an IPO filed confidentially. I know you can't talk numbers, but I can tell by your confidence, you're feeling good right now we are >>Feeling >>Good. Yeah. One day, one week, one month at a time. I mean, you just, you know, I like the, you know, Jeff Bezos, Andy jazzy expression, which is, it's always day one, you know, just because you've had success, even, you know, if, if a and when an IPO O makes sense, you just have to stay humble and hungry because you realize, okay, we've had a lot of success in the fortune 1000, but there's a lot of white space that hasn't picked USS yet. So let's go, yeah, there's lots of midmarket account >>Product opportunities are still, >>You know, I just stay humble and hungry and if you've got the team and then, you know, I'm really gonna be working also in the ecosystem. I think there's a lot of very good partners. So lots of ideas brew through >>The head. Okay. Well, thank you so much for coming on our super cloud event and, and, and also doubling up on the news of the new appointment and congratulations on the success guys. Coverage super cloud 22, I'm sure. Dave ante, thanks for watching. Stay tuned for more segments after this break.

>>Hello, welcome back to the cubes coverage of Monaco, crypto summit presented by digital bits. It's a conference where a lot of the people using digital bits and the industry coming together around the future of crypto in the applicates got a great guest garage, rod cot, founder, and CEO of an innovative company. Love this co I love this company, Luke mogul, Rob, thanks for coming on the queue. Appreciate it. Oh, >>Thank you for having >>Us. Yeah. So I checked out what you guys are doing. You've got the sports metaverse angle going on with super valuable, cuz sports is super entertaining. Uh, people are engaged. There's huge fan base, huge online now, digital convergence going on with the physical, you know, you see all kinds of sports betting going on now everything's going digital. There's a whole nother consumer experience going on with sports and the game is still the same on the, on the field or so to, or the court. That's correct. Yeah. Now it's going to digital take a minute to explain what you guys are working on. >>Yeah, so yes, we are building out a sports ERs where we are bringing athletes, whether they're NBA stars, NFL stars, w N B a many of those athletes into meows giving them the ownership of the entire, um, meows commerce along with gameplay. So that's something from our perspective, this, uh, this is something that we're focused on. We're building out stadiums. Athletes can own stadiums. Athlete can create their own training centers, media hubs. Um, and imagine Lisa, Leslie for example, is building out a woman leadership sports academy, right? We have Michael Cooper building out defensive academy. So those are all the brands. We have 174 NBA w N B stars. And, um, and we are building out this, >>The brand is the brand, is the platform that's correct. That's the trend we're seeing. And it's, it's also an extension of their reach in community. So there's, they can convert their star power and athlete with owner's approval. If they probably write it on to the contracts, he, they can imagine all the complications, but they bring that online and extend that energy and brand equity yep. To fans and social network. Yeah. >>And many of these athletes are tremendous successful in their web two careers, right? Yeah. Um, some are current athletes, some are former athletes, but they have built such a brand persona where people are following them on Instagram. For example, Carlos Boozer. He has like almost 6 million followers between Twitter and Instagram and those kind of brands are looking or how do I give back to the community? How do I engage with my community and web three? And especially with our platform, we are giving that power back to the players. >>So you guys got some big names booers on there. You mentioned Carlos Boozer. You mentioned that Lisa, Leslie others among others, Michael Cooper throw back to the old Lakers, uh, magic. Johnson's kind actually here in crypto. We just saw him in the lobbies and in dinner and the other night, um, at Nobu, um, you got a lot of NBA support. Take a take, take, even explain how you're working this angle. Uh, you got some great traction, uh, momentum. Um, you got great pedigree, riot games in your career. Uh, you kind of get the world, the tech world, the media world, as it comes together. What's the secret sauce here? Is it the NBA relationship combination of the team explained >>It's really focusing on what, uh, we are building on me was focusing on players first, right? So players are literally, we call our platform as, uh, owned by the players, made for the players. Uh, and engagement is really all done through the players, right? So that's our key sauce. And when we worked out with NBA, we, we are part of the NBA BPA acceleration program for 2022 that is funded by a six Z, uh, and, and many others. Um, and our partnership with league is very critical. So it's not only partnered with player association partnered with leagues, whether it's NBA, w N B a NFL. So those are the venues. And this becomes almost a program, especially for athletes to really generate this lifetime engagement and royalty model because some of this famous athletes really want to give back to the communities. So like for example, I use Lisa Leslie a lot, but Lisa, Leslie really wants to empower women leadership, leadership, and really help, um, women in sports, for example. Right? So those are the angles that, um, that really people are excited about. >>Well, for the people watching that might not understand some of the ins and outs of sports and, and rod, your background in your team, it's interesting. The sports teams have been on the big day to train for many, many years. You look at all the stadiums. Now they've got mobile devices, they got wifi under the chairs. They use data and technology to manage the team. Mm-hmm, <affirmative> manage the stadium and venue and operations suppliers, whatnot. And then also the fans. So you, they, they got about a decade or so experience already in the digital world. This is not new to the, to the sports world. Yeah. So you guys come to the table kind of at a good time. >>Yeah. Especially the defi of the sports, right? So there's a defi of the finance, but this is the really, uh, a, a decentralization of the sports is something that there's a lot of traction. And there are many companies that are really focusing on that. Our focus obviously is players first, right? How do we give power to the players? Uh, and those are really driving the entire engagement. And also the brands >>How's the NBA feel about this because, you know, you got the NBA and you get the team, you got the owners. I mean, the democratization of the players, which I love by the way that angle kind of brings their power. Now's the new kind of balance of power. How is the NBA handling this? What's some of the conversations you've had with the, the organization. >>Yeah. So obviously there are a lot of things that, uh, people have to be careful about, right? They have existing contracts, existing, digital media rights. Um, so that's something that, uh, we have to be very tactful when we are working with NBA and NPA, uh, on what we can say, we cannot say. So that is obviously they have a lot of existing multimillion or billion dollar contracts that they cannot void with the web because the evolution of web three, >>You know, I love, uh, riffing on the notion of contract compliance when there's major structural change happening. Remember back in baseball, back in the days before the internet, the franchise rights was geographic territory. Mm-hmm <affirmative> well, if you're the New York Yankees, you're doing great. If you're Milwaukee, you're not doing too good, but then comes the internet. That's good. That's no geography. There's no boundaries. That's good. So you're gonna have stadiums have virtual Bo. So again, how do they keep up with the contracts? Yeah. I mean, this is gonna be a fundamental issue. >>That's >>Good. Good. And I think if they don't move, the players are gonna fill that void. >>That's correct. Yeah. And especially with this, this an IL deal, right. That happened for the players, uh, especially college athletes. So we are in process of onboarding 1.5 million college athletes. Uh, and those athletes are looking for not only paying for the tuition for the colleges, but also for engagement and generating this early on, uh, >>More okay. Rod, we're gonna make a prediction here in the cube, 20, 20 we're in Monaco, all the NBA, NHL, the teams they're gonna be run by player Dows. Yeah. What do you think? A very good prediction. Yeah. Very good prediction. Yeah. I mean you, I mean, that's a joke, I'm joking aside. I mean, it's kind of connecting the dots, but you know, whether that happens or not, what this means is if this continues to go down this road, that's correct. Get the players collectively could come together. Yeah. And flip the script. >>Yeah. And that's the entire decentralization, right. So it's like the web three has really disrupted this industry as you know. Um, and, and I know your community knows that too. >>Of course, course we do. We love it. >>Something from sports perspective, we are very excited. >>Well, I love it. Love talking. Let's get to the, to the weeds here on the product, under the hood, tell about the roadmap, obviously NFTs are involved. That's kind of sexy right now. I get the digital asset model on there. Uh, but there's a lot more under the coverage. You gotta have a platform, you gotta have the big data and then ultimately align into connecting other systems together. How do you view the tech roadmap and the product roadmap? What's your vision? >>Yeah. So the, the one thing that you had to be T full, uh, as a company, whether it's LUT, mogul or any other startup, is you have to be really part of the ecosystem. So the reason why we are here at Monaco is that we obviously are looking at partnership with digital bits, um, and those kind of partnership, whether it's fourth centric, centric are very critical for the ecosystem in the community to grow. Um, and that's one thing you cannot build a, another, uh, isolated metaverse right? So that's one thing. Many companies have done it, but obviously not. >>It's a wall garden doesn't work. >>Exactly. So you have to be more open platform. So one things that we did early on in our platform, we have open APIs and SDKs where not only you as an athlete can bring in your, uh, other eCommerce or web, uh, NFTs or anything you want, but you can also bring in other real estate properties. So when we are building out this metaverse, you start with real estate, then you build out obviously stadiums and arenas and academies training academies, but then athletes can bring their, uh, web commerce, right. Where it's NFT wearables shoe line. So >>Not an ecosystem on top of Luke Mo. So you're like, I'm almost like you think about a platform as a service and a cloud computing paradigm. Yeah. Look different, not decentralized, but similarly enabling others, do the heavy lifting on their behalf. Yeah. Is that right? >>So that's correct. Yes. So we are calling ourself as the sports platform as a service, right. So we want to add the word sports because we, uh, in, in many contexts, right. When you're building metaverse, you can get distracted with them, especially we are in Los Angeles. Right. >>Can I get a luxury box for the cube and some of the metaverse islands and the stadiums you're doing? >>We, we are working >>On it. We're >>Definitely working on, especially the, uh, Los Angeles, uh, stadium. Yeah. >>Well, we're looking for some hosts, anyone out there looking for some hosts, uh, for the metaverse bring your avatar. You can host the cube, bro. Thanks for coming on the cube. Really appreciate. What's the, what's next for you guys, obviously, continuing to build momentum. You got your playful, how many people on the team what's going on, give a plug for the company. What are you looking for share with the audience, some of the, some of your goals. Yeah. >>So, uh, the main thing we're looking for is really, um, from a brand perspective, if you are looking at buying properties, this would be an amazing time to buy virtual sports stadium. Um, so we are, obviously we have 175 stadiums in roadmap right now. We started with Los Angeles. Then we are in San Francisco, New York, Qatar, Dubai. So all those sports stadiums, whether they're basketball, football, soccer are all the properties. And, uh, from a community perspective, if you want to get an early access, we are all about giving back to the community. Uh, so you can buy it at a much better presale price right now. Uh, so that's one, the second thing is that if you have any innovative ideas or a player that you want to integrate into, we have an very open platform from a community engagement perspective. If you have something unique from a land sale perspective yeah. Or the NFD perspective plug, contact us at, at Raj lumo.com. >>And I'm assuming virtual team, you in LA area where where's your home. >>So, yeah, so I live in Malibu, um, and our office is in Santa Monica. We have an office in India. Uh, we have few developers also in Europe. So, uh, and then we are team of 34 people right now >>Looking to hire some folks >>We are looking for, what >>Are you, what are you looking for? >>So, uh, we are looking for a passionate sports, uh, fanatics. >>It's a lot, not hard to find. Yeah. >><laugh> who knows how to also code. Right? So from blockchain perspective, we are, uh, chain agnostic. Uh, but obviously right now we are building on polygon, but we are chain agnostic. So if you have any blockchain development experience, uh, that's something we, we are looking for. Yeah. >>RA, thanks for coming out. Luke Mo check him out. I'm John furry with the cube here in Monaco for the mono crypto summit presented by digital bits. We got all the action, a lot of great guests going on, stay with us for more coverage. Um, John furrier, thanks for watching.

>>Okay, welcome back everyone. This is the cube coverage here at Remar. Amazon Remar stands for machine learning, automation, robotics, and space. And we're here for a robotics. Cool segments. We have Monia on the desk. We'll get Caitlin Caitlin clay bar head. Ofri welcome to the cube and follow Virginian, founder and CEO of Moxi. Thanks for coming on and thanks for bringing this special third guest. Thank you for helping >>Us. >>This is exciting. Okay. So first of all, we'll get into the company a second, but what do we, what is this? What what's going on? This is amazing. >>Go. This is Moxi. This is our first product out of embodied and it is a social, emotional learning AI friend for children, ages five to 10 currently. >>That's what he, he or she likes me. Yes. Staring at me right now. I'm a child. Thank he. Nice to see you. >>And it has all sorts of content and in multi back and forth interaction. Yeah. And it's, it's our first pass at doing socially. >>Okay. So this product is shipping. >>It is shipping. Yeah. Available. It is available. We've been out for over a year now shipping for over a year now. >>Okay. Oh man. It just makes me feel good. It must be a big seller across all use cases. So what's the number one thing you guys getting attention on right now from Moxi besides the cool factor, the tech what's going on? >>Well, I think we have received a lot of interest from many people because Mo Mox is captured the imagination of people in terms of what is possible in the future. And really the Genesis of it is that I've been doing robotics for 20 years and sort of a little bit disappointed with what we have accomplished in robotics, because there's so much where we can do we have dreamt about robots for centuries. But what we were dreaming about was not robotic vacuum cleaners, which guilty as charged. I was part, I was a CTO at iRobot and we wanna see robots that can actually can really care for us from childhood to retirement. And Moxi represents the AI technology we have developed. That's gonna make that next wave of robotics to flourish. >>You must be really excited because I think right now, one of the main, my main walkaway themes so far from this show is technology's not the blocker anymore. It's the people human side of it, where it used to be technology slow. And robotics has been that area where we've seen great innovation, but where's that needle moving moment coming. I think now with cloud and all the things happening seems to be the moment. >>I think we are seeing exponential growth in technology. That's gonna enable robots to become unreal. As an example, Moxi uses very advanced, conversational engine where you literally can talk to Moxi about anything you want. So it can be a real companion. It will understand, you understand your needs and emotions and start working on social, emotional development for children. This technology, which are as transformer models, deep neural networks that are trained on millions of conversation. We are seeing every year, 10 X improvement to this. So I predict in the next two to three years, you will be able to have a conversation with Moxi. That's like having a subject expert matter expert in every single subject. Yeah. >>Yeah. That's like getting a cube interview like instantly, Hey, Moxie, what's the information. So I could see the tie in and it's just my mind's blown, I guess in the sense of the use cases are wide. You get wide ranging use cases, elderly care, child development, loneliness, all kinds of social, emotional factors. >>Yeah. We've built a really incredible platform that we're hoping to expand out beyond kids. I mean, kids is kind of our, this is our first product, but Moxi the fact that we have what we call our social X platform and the tools where you can create content and Moxi can have conversations about any number of things it's >>So share. What's what technology is under the covers here with the human robotic interface kind of dynamic, you got software, you got hardware, you're gonna have code. You got the neural networks. It's kind of the confluence of a lot of different vectors coming together. What's the secret sauce. >>So that's what we call our social X platform. And really it you're right. Everything has to work in concert and at a price point that's affordable for people. So Moxie's able to actually track people in the real world and we are able to fuse people's speech. And you know, we do facial recognition for the specific child. So Moxie knows its mentor and personalize the interaction over time. >>Well, she's talking to me or he is a, she is a gender neutral robot, I guess, like whatever I want it to be, I guess >>We've left it intentionally gender neutral, but kids kind of yeah. Prescribe whatever gender they feel connected. >>Yes. Good, good. You enables the user. Yes. Really? The key what's what's been the biggest use case that you didn't think would be coming to the table with Moxi anything surprise you, you must get a lot of reactions. >>Yeah. So you covered some of the ones we are focused on. We are particularly focused on mental health from childhood to retirement and aging gracefully. After we launched Moxi we had a TikTok video that went crazy viral. We got 40 million views on this. And that led to a lot of interest from celebrities. Yeah. >>From some of the most luxury hotel chains that have reached out to us and they want to use the technology in Moxi to develop a personal Butler for every guest room, as an example, that's one example, right? So we have one of the largest violence intervention program in the us that caters to children that have unfortunately been through very traumatic experiences in their life and want to use Moxi as a way to provide therapy to these children. Yeah. Yeah. So the use cases are very broad. We even have people from different countries that were very interested in using Moxi for, for instance, teaching a Chinese child, how to speak English, immersively by interacting with Moxi, which is the best way to learn a different language. So I think the implications of this are paramount. Yeah. We will even see in contact centers, centers, customer support centers, and so on will use technology like this for having them empathetic AI that's actually taking care of your customer service complaints rather than a robotic way of >>Interacting with. I was just on, on earlier with an interview here with Deloitte and AWS on conversational AI and trust was a big conversation. Yes. Trust and, and ethics. So you got ethics, trust bias, all these things are of factors. You got human interaction from a physical and then software standpoint. What, what other hard problems are in here that you guys are solving? Come on. This is incredible because these are hard problems. >>Yes they are. And one of them is the famous cocktail party problem. And Palo being our fearless CEO really drove the team to get Moxi to this state where Moxie's able to interact with people, even in this environment, which is pretty incredible and like lock in and have a back and forth conversation. It's very exciting. >>So Moxi how do you feel you feeling good? What's the biggest challenge you've had here? Audio. Congratulations. That's really impressive. I'm so impressed. And again, it it's again, not to oversimplify it. There's a lot of hard problems going on here that are, that are being solved. >>Absolutely. There's >>Human interaction. You get a physical device. >>Exactly. It's a physical device. And like how we have designed Moxi down to the color of Moxie's eyes, the color of the shell, all of that has taken a lot of iteration to get to a point where we really have a robot that people feel like they can trust, feel like they can connect with. And, >>And even something to add to this is that we have many robots that cost tens of thousands of dollars, because it's very easy to keep adding more sensors and more compute power. And so on. You end up with robots that cost 10, 20, $30,000. One of the goals we set at the outset was we want to make Moxi as, as affordable as an iPhone. So, and Moxi is right. The price point of Moxi is same as owning an iPhone. You pay about a thousand dollars up front plus a monthly subscription fee. And that not >>The Ram cap upgrade the Ram on that too. >>We have very limited brand. >>We have please. Very, >>If you can convince it >>IPhone, I can always get the 2 56 or the one terabyte, >>Right? No, it, it really actually makes it much harder to develop technology that's affordable >>For yeah. Yeah, totally. >>And we wanted to do that because we wanted to have impact. >>So are you shipping now or are you on allocation? I can imagine that demand is off the >>Charts. Definitely. We sold out last year when we launched the product. Now we are resolving supply chain issues that everyone is suffering from due to COVID and this year we'll have better ability to meet demand. >>So this is people want it. There's a lot of demand. >>Right? >>You guys a smile having fun. Yes. Right. All right. So now talking about the product, take me through the product. What's the challenges here. Obviously the animation in the camera. I see the camera. I see some lights there at heart speaker. What would Moxi be doing if wasn't, if we weren't here, if we were at home. >>So as in interacting with a child at home, we've seen a lot of people actually put Moxy on the floor and kids will like lay down and interact with Moxy. And there are a lot of different activities right now it's doing a little jukebox dance, but there are more kind of therapy or mental health and, and social, emotional learning, driven content. Like children can read a book with Moxi and we use the screen, not just to show that great, cute facial expression and the eye contact, but we also can show icons and some additional information. And so in this way, we've created a very new type of interface for a machine, with a child, >>Not to get all product visionary and roadmap oriented here. But I can imagine interfacing out to a third party screens in the future where this is gonna stay compact and affordable. And if I'm interacting and I want to display a visual, is that something you guys are guys going beyond that you're still focused on the product here? So what's some of the vision you have >>There definitely. There will be versions of our social X platform, finding their way into what we may call the metaverse, where you could have hyper realistic models of humans driven by our AI to interact with you the way you and I are interacting, but embodiment where the name of the companies derive from is actually super important in the kind of things we are doing with mental health and social emotional development. Because the physical co-presence of an entity like this interacts with our brains in a different way than when we do on extreme. So there is gonna be both versions for some applications will be virtual. Other applications will be >>Physical. Well, that's a wait and see, see what happens, sell out the next batch inventory where the product yeah. >>And the embodiment. It does. It just, it hits a little different, you know, kids yeah. Will actually physically tuck Moxi in at night. There's there's something there >>That's, there's something there tangible, I think it's great. Home run. I mean, just having the response, the visual response, the facial makes an impact instantly. >>Absolutely. >>So you can extend that out, probably make it more immersive, whether it's metaverse or within your home. >>Yeah. And now with AR VR goggles, where you get this 3d immersive experience, it may get closer to the impact we can have with an embodied agency. So the lines are blurring obviously between the physical and the digital. >>Well, great to have you guys on. Thanks for bringing the, the, the Moxi on Moxi to come on. This event kind of symbolizes this revolution. We're seeing the robotics industrial shift space is a good example of one. This is another machine learning, the software business cloud, all great, you know, force multipliers to enable value creation. Where do you guys see this going Remar as this whole intersection, you got a lot of different disciplines coming together. We're seeing here in the cube and we're talking to folks that we think it's gonna be a needle moving moment for the, for the industrial era. What do you guys take on this? >>Absolutely. I mean, >>Robotics has always been right around the corner, but with the advances of technology in the last 10 years or so, this is now really possible and it's growing at exponential rates. So the future is exciting. Obviously we have to guide it. You talked about ethics. So being ethical about it, being mindful about how we want to deploy this technologies to actually have positive impact on us. For instance, we do not believe in replacing a human labor or the need for humans, but we believe in augmenting humans, right. And technology today can actually do that. Yeah. >>Know that whole argument's been debunked for decade, the whole bank teller. Oh, they're gonna put tellers outta business. No, there's more tellers now than ever before. So I think technology is gonna create much greater aperture of, of opportunities. And I think the question I'd love to get, get you guys to share is this is gonna wake up a lot of generational, young talent to come into the workforce, cuz the problems are there. It's not a technology. It's a human mind, creative problem. Now it's more of, you know, you're gonna see robotics probably being accelerated even more now than it is. It's still growing. Yeah. Young kids love robotics. >>I mean, it's incredible to see the breadth of applications of robotics at, at this event specifically and just, I don't know, getting into it. I mean, I haven't been in it as long as you pow, but five, 10 years ago, you wouldn't have seen, I mean, this just wouldn't be possible. >>The robotics clubs are more popular now in high, most high schools in the United States than some sports there's a and a B team and people get cut from the B team. There's so much demand. There's so much excitement cuz it's building. If you get your hands on and it's got software, it's got coding. Absolutely. It's got building. >>Absolutely. And you are, you are creating, there are figures like Steve jobs, Jeff Bezos, LAN Musk that are inspiring children to go into stem education and really build a career in that area, which is much more exciting than the, the opposite. >>Great. What do you guys think about re Mars this year? What's your walk away? What's the big story here besides Moxi cuz we recovered that right now. What's what's the, what's the trend. What's the high level. What's the most important story people should pay attention to? >>I think we're just gonna see robotics or machine learning and we're just gonna see it in almost every application and it's going to be, the word was ambient was being used during the keynote. And I think that's really true. Ambient intelligence, like having robots in your everyday life as well as just AI in your everyday life. And it's gonna feel seamless. >>It's pretty impressive. Paul, what's your take on the, the >>Big story? I would say one of the trends we are seeing at even here at AWS, Amazon re remarks is making machines more human. Yeah. Even Astro the product that was launched last September, I believe by Amazon is adding a lot of facial affect emotions and understanding of humans for decades. We have been bound to using keyboards and touch screens and yeah. Clicks here and there. And it's gonna change it's time for machines to learn, to understand us. Yeah. And that is gonna be a trend that we will see even in the self self-driving cars, which are not gonna have a steering wheel, but the machine will understand our mood and drive accordingly. >>Yeah. And you know, Apollo, you guys are doing Caitlin your work here. I think highlights what I'm seeing as it's a future theme. That's positive. It has a vibe of like, we need a good to come. You know, it's like, when's the good gonna happen? And I think, >>I think we're ready for that. >>The theme's here though. They're very positive forward thinking practical engineered, you know, and solving problems, right? Real problems. The climate change and the keynote. We talking about healthcare and, and having things be solved this way. This is the new, the new normal, it's a human problem now to solve >>It is. And I think we are all, all of us are a bit more aware of that after the pandemic, because pan the pandemic was hard on everyone in different ways and we are more mindful of the positive. Right? We are looking for something positive and hopefully yeah. Coming out of the pandemic, now we have a global crisis, but these, these technologies will transform life and the world in a positive way. Yeah. >>You guys doing a great job. Congratulations on the success of >>Moxi. Thank >>You. Great work. Thanks for sharing that. Thank you. I wanna let more platform maybe next time. We'll have a conversation. We'll talk about the platform in tric season, then detail. So, but thanks for coming on the queue. Appreciate the problem. >>Thank you. Our pleasure. Okay. >>It's the Cube's coverage here in Las Vegas for Amazon re Mars. I'm John furrier. Stay with us for more coverage after this short break.

>>Okay, welcome back everyone to San Francisco, live coverage here with the cube 80, be summit 2022. We're back in person. I'm John furry host of the cube. We'll be at the 80 us summit in New York city. This summer, check us out then. But right now, two days in San Francisco, getting all the coverage what's going on in the cloud, we got a cube, alumni and friend of the cube. I dos car CEO, investor, a Sierra, and also an investor and a bunch of startups, angel investor. I'm gonna do great to see you. Thanks for coming on the cube. Good to see you. Good to see. See you, sir. Chris pump. Cool. How are you? >>Good. How are you? >>So congratulations on all your investments. Uh, you've made a lot of great successes over the past couple years and your company raising some good cash as Sarah. So give us the update. How much cash have you guys raised? What's the status of the company product what's going on? >>First of all, thank you for having me. We're back to be business with you never while after. Great to see you. Um, so I, as the company started around four years back, I invested with a few of the investors and now I'm the CEO. Um, we have raised close to a hundred million there. The investors are people like nor west Menlo, true ventures, coast, lo ventures, Ram Shera, and all those people all well known guys, Andy Beel chime Paul Mo Mayard web. So a whole bunch of operating people and, uh, Silicon valley vs are involved >>And has it gone? >>It's going well. We are doing really well. We are going almost 300% year over year. Uh, for last three years, the space ISRA is going after is what I call the applying AI for customer service. It operations, it help desk, uh, the same place I used to work at ServiceNow. We are partners with ServiceNow to take, how can we argument for employees and customers, Salesforce, and service now to take it the next stage? Well >>Of having you on the cube, Dave and I, David ante as well loves having you on too, because you not only bring the entrepreneurial CEO experience, you're an investor. You're like a, you're like a guest analyst. <laugh> >>You know who done? You >>Get the comment, this fun to talk to you though, you >>Get the commentary, you you're your finger on the pulse. Um, so I gotta ask you obviously, AI and machine learning, machine learning AI, or you want to phrase isn't every application. Now, AI first, uh, you're seeing a lot of that going on. You're starting to see companies build the modern applications at the top of the stack. So the cloud scale has hit. We're seeing cloud scale. You predicted that we talked about in the cube many times. Now you have that past layer with a lot more services and cloud native becoming a standard layer. Containerizations growing Docker just raised a hundred million on a 2 billion valuation back from the debt after they pivoted from an enterprise services. So open source developers are booming. Um, where's the action. I mean, is there data control, plane emerging, AI needs data. There's a lot of challenges around this. There's a lot of discussions and a lot of companies being funded, observability there's 10 million observability companies. Data is the key. What's your angle on this? What's your take? Yeah, >>No, look, I think I'll give you the view that I see right from my side. Obviously data is very clear. So the things that system of recorded you and me talked about the next layer is called system of intelligence. That's where the AI will play. Like we talk cloud native, it'll be called AI. Native NATO is a new buzzword and using the AI for customer service it operations. We talk about observability. I call it AI ops, applying ops for good old it operations management, cloud management. So you'll see the AOPs applied for whole list of, uh, application from observability doing the CMDB, predicting the events incidents. So I see a lot of work clicking for AIOps and AI service desk. What used to be help desk with ServiceNow BMC <inaudible> you see a new, a layer emerging as a system of intelligence. Uh, the next would be is applying AI with workflow automation. So that's where you'll see a lot of things called customer workflows, employee workflows. So think of what UI path automation, anywhere ServiceNow are doing, that area will be driven with AI workflows. So you'll see AI going off >>Is RPA a company is AI, is RPA a feed of something bigger? Or can someone have a company on RPA UI pass? One will be at their event this summer? Um, is it a product company? I mean, I mean, RPA is almost, should be embedded in everything. It's a feature. >>It is very good point. Very, very good thing. So one is, it's the category for sure. Like it's a category, it's an area where RPA maybe change the name. I call it much more about automation, workflow automation, but RPA and automation is a category. Um, it's a company also, but that automation should be ed in every area. Yeah. Like we call cloud NATO and AI NATO. It'll become automation. NATO. Yeah. And that's your thinking? So >>It's most interesting me. I think about the, what you're talking about. What's coming to my is I'm kinda having flashbacks to the old software model of middleware. Remember at middleware, it was very easy to understand it was middleware. It sat between two things and then the middle and it was software abstraction. Now you have all kinds of workflows abstractions everywhere. So multiple databases, it's not a monolithic thing. Right? Right. So as you break that down, is this the new modern middleware? Because what you're talking about is data workflows, but they might be siloed. Are they integrated? I mean, these are the challenges. This is crazy. What's the, >>So don't put the database became called polyglot databases. Yeah. I call this one polyglot automation. So you need automation as a layer, as a category, but you also need to put automation in every area like you you're talking about. It should be part of service. Now it should be part of ISRA, like every company, every Salesforce. So that's why you see it. MuleSoft and Salesforce buying RPA companies. So you'll see all the SaaS companies, cloud companies having an automation as a core. So it's like how you have a database and compute and sales and networking. You'll also have an automation as a layer <inaudible> inside every stack. >>All right. So I wanna shift gears a little bit and get your perspective on what's going on behind us. You can see, uh, behind us, you got the expo hall, got, um, we're back to vents, but you got, you know, AMD, Clum, Ove, uh, Dynatrace data, dog, innovative all the companies out here that we know. And we interview them all. They're trying to be suppliers to this growing enterprise market. Right. Okay. But now you also got the entrepreneurial equation. Okay. We're gonna have John Sado on from Deibel later today. He's a former NEA guy and we always talk to Jerry, Jen. We know all the, the VCs. What does the startups look like? What does the, to of the, in your mind, cuz you, I know you invest the entrepreneurial founder situation. Cloud's bigger. Mm-hmm <affirmative> global, right? Data's part of it. You mentioned data's code. Yes. Basically. Data's everything. What's it like for a first an entrepreneur right now who's starting a company. What's the white space. What's the attack plan. How do they get in the market? How do they engineer everything? >>Very good. So I'll give it to two things that I'm seeing out there. Remember days of Amazon created the startups 15 years back, everybody built on Amazon now Azure and GCP. The next layer would be is people don't just build on Amazon. They're going build it on top of snowflake. Companies are snowflake becomes the data platform, right? People will build on snowflake. Right? So I, my old boss Blankman trying to build companies on snowflake. So you don't build it just on Amazon. You build it on Amazon and snowflake. Snowflake will become your data store. Snowflake will become your data layer. Right? So I think that's the next level of <inaudible> trying to do that. So if I'm doing observability AI ops, if I'm doing next level of Splunk SIM, I'm gonna build it on snowflake, on Salesforce, on Amazon, on Azure, et cetera. >>It's interesting. You know, Jerry Chan has it put out a thesis a couple months ago called castles in the cloud where your moat is, what you do in the cloud. Not necessarily in the, in the IP. Um, Dave LAN and I had last reinvent, coined the term super cloud. Right's got a lot of traction and a lot of people throwing, throwing mud at us, but we were, our thesis was, is that what Snowflake's doing? What Goldmans Sachs is doing. You're starting to see these clouds on top of clouds. So Amazon's got this huge CapEx advantage. And guys like Charles Fitzgerald out there who we like was kind of shitting on us saying, Hey, you guys terrible, they didn't get him. Like, yeah, I don't think he gets it, but that's a whole, can't wait to debate him publicly on this. He's cool. Um, but snowflake is on Amazon. Yes. Now they say they're on Azure now. Cause they've got a bigger market and they're public, but ultimately without a AWS snowflake doesn't exist and, and they're reimagining the data warehouse with the cloud, right? That's the billion dollar opportunity. >>It is. It is. They both are very tight. So imagine what Frank has done at snowflake and Amazon. So if I'm a startup today, I want to everything on Amazon where possible whatever is, I cannot build, I'll make the pass layer. Remember the middle layer pass will be snowflake so I can build it on snowflake. I can use them for data layer. If I really need do size, I'll build it on force.com Salesforce. Yeah. Right. So I think that's where you'll. >>So basically the, the, if you're an entrepreneur, the, the north star in terms of the, the outcome is be a super cloud. It is, That's the application on another big CapEx ride, the CapEx of AWS or >>Cloud, and that reduce your product development, your go to market and you get use the snowflake marketplace to drive your engagement. >>Yeah. Yeah. How are, how is Amazon and the clouds dealing with these big whales, the snowflakes of the world? I mean, I know they got a great relationship, uh, but snowflake now has to run a company they're public. Yeah. So, I mean, I'll say, I think they had Redshift. Amazon has got Redshift, um, but snowflakes, a big customer and the they're probably paying AWS, I think bills too. So >>John video it's like whole Netflix is, and Amazon prime Netflix runs on Amazon, but Amazon has Amazon prime that co-optation will be there. So Amazon will have Redshift, but Amazon is also partnering with, uh, snowflake to have native snowflake data warehouses, a data layer. So I think depending on the applic use case, you have to use each of the above. I think snowflake is here for a long term. So if I'm building an application, I want to use snowflake then, right. Think from stats. >>Well, I think that it comes back down to entrepreneurial hustle. Do you have a better product? Right. Product value will ultimately determine it as long as the cloud doesn't, You know, foreclose your value. That's right. With some sort of internal hack. But I think, I think the general question that I have is that I, I think it's okay to have a super cloud like that because the rising tide is still happening. Some point, when does the rising tide stop >>And >>The people shopping up their knives, it gets more competitive or is it just an infinite growth cycle? >>I think it's growth. You call it cloud scale. You invented the word cloud scale. So I think, look, cloud will continually agree, increase. I think there's, as long as there are more movement from on, uh, on-prem to the classical data center, I think there's no reason at this point, the rumor, the old lift and shift that's happening in like my business. I see people lift and shifting from the it operations, it helpless, even the customer service service now and, uh, ticket data from BMCs CAS like Microfocus, all those workloads are shifted to the cloud, right? So ticketing system is happening. Cloud system of record is happening. So I think this train has still a long way to go >>Made. I wanna get your thoughts for the folks watching that are, uh, enterprise buyers or practitioners, not suppliers to the market, feel free to text me or DMing next. Question's really about the buying side, which is if I'm a customer, what's the current, um, appetite for startup products, cuz you know, the big enterprises now and you know, small, medium, large, and large enterprise, they're all buying new companies cuz a startup can go from zero to relevant very quickly. So that means now enterprises are engaging heavily with startups. What's it like what's is there a change in order of magnitude of the relationship between startup selling to, or growing startup selling to an enterprise? Um, have you seen changes there? I mean I'm seeing some stuff, but why don't we get your thoughts on that? What, no, it >>Is. If I remember going back to our 2007 or eight, when I used to talk to you back then and Amazon started very small, right? We an Amazon summit here. So I think enterprises on the average used to spend nothing with startups. It's almost like 0% or one person today. Most companies are already spending 20, 30% with startups. Like if I look at a CIO, a line of business it's gone. Yeah. Can it go more? I think it can double in the next four, five years. Yeah. Spending on the startups. >>Yeah. And check our, uh, AWS startups.com. That's a site that we built for the startup community for buyers and startups. And I want get your reaction because I, I reference the URL cause it's like, there's like a bunch of companies we've been promoting because the solutions that startups have actually are new stuff. Yes. It's bending, it's shifting left for security or using data differently or are um, building tools and platforms for data engineering. Right. Which is a new persona that's emerging. So you know, a lot of good resources there. Um, and goes back now to the data question. Now, getting back to your, what you're working on now is what's your thoughts around this new, um, data engineering persona. You mentioned a AIOps we've been seeing AOPs IOPS blue booming and that's creating a new developer paradigm that's right. Which we call and coin data as code data as code is like infrastructure as code, but it's for data, right? It's developing with data, right? Retraining machine learnings, going back to the data lake, getting data to make, to do analysis, to make the machine learning better post event or post action. So this, this to engineers like an SRE for data, it's a new, scalable role we're seeing. Do you see the same things? Do you agree? Um, do you disagree or can you share >>Yourself? I, no, I have a lot of thoughts that first is I see the AOP solutions in the future should be not looking back. I need to be like we are in San Francisco bay. That means earthquake prediction. Right? I want AOPs to predict when the outages are gonna happen. When there's a performance issue. I don't think most AOPs vendors have not gone through it. Like I spend a lot of time with data dog, Cisco app dynamic, right? Dynatrace, all this solution will go future towards predict to proactive solution with AOPs. But what you bring of a very good point on the data side, I think like we have a Amazon marketplace and for startup, there should be data exchange where you want to create for AOPs and AI service desk customers that give the data, share the data because we thought the data algorithms are useless. I can come the best algorithm, but I gotta train them, modify them, tweak them, make >>Them >>Better, make them better. Yeah. And I think there are a whole data exchange is the industry has not thought through something you and me talk many times. Yeah. Yeah. I think the whole, that data is very important. >>You've always been on, on the Vanguard of data because, uh, it's been really fun. Yeah. >>Going back to big data days back in 2009, you know, >>Look at, look how much data bricks has grown. >>It is double, the >>Key cloud air kinda went private, so good stuff. But what are you working on right now? Give a, give a, um, plug for what you're working on. You'll still invest strength. >>I do still invest, but look, I'm a hundred percent on ISRA right now. I'm the CEO there. Yeah. Okay. >>So >>Right. ISRA is my number one baby right now. So I'm looking at that growing customers and my customers. Some of them you like it's zoom auto desk, MacAfee, uh, grantor. So all the top customers, um, mainly for it help desk customer service ops. Those are three product lines and going after enterprise and commercial deals. >>And when should someone buy your product? What what's their need? What category is it? >>I think the look whenever somebody needs to buy the product is if you need AOP solution to predict, keep your lights on, predict ours one area. If you want to improve employee experience, you are using a slack teams and you want to automate all your workflows. That's another value. Prop. Third is customer service. You don't want to hire more people to do it. Some of the areas where you want to scale your company, grow your company, eliminate the cost customer service. >>Great stuff, man. Great to see you. Thanks for coming on. Congratulations on the success of your company and your investments. Thanks for coming on the key. Okay. I'm John fur here at the cube live in San Francisco for day one of two days of coverage of Aish summit 2022. And we're gonna be at a summit in San, uh, in New York in the summer. So look for that on this calendar, of course, go to Aish startups.com and mention that it's ay for all the hot startups and of course the cube.net and Silicon angle.com. Thanks for watching. We'll be back more coverage after this short break.

>>From around the globe. It's the queue with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS, and our community partners. >>Hello, and welcome back to the cube live coverage of reinvent 2020 virtual. We're not there this year. It's the cube virtual. We are the cube virtual. I'm your host, John fro with Dave Alante and analyzing our take on the partner day. Um, keynotes and leadership sessions today was AWS APN, which is Amazon partner network global partner network day, where all the content being featured today is all about the partners and what Amazon is doing to create an ecosystem, build the ecosystem, nurture the ecosystem and reinvent what it means to be a partner. Dave, thanks for joining me today on the analysis of Amazon's ecosystem and partner network and a great stuff today. Thanks for coming on. >>Yeah, you're welcome. I mean, watch the keynote this morning. I mean, partners are critical to AWS. Look, the fact is that when, when AWS was launched, it was the developers ate it up. You know, if you're a developer, you dive right in infrastructure is code beautiful. You know, if you're mainstream it, this thing's just got more complex with the cloud. And so there's, there's a big gap right between how I, where I am today and where I want to be. And partners are critical to help helping people get there. And we'll talk about the details of specifically what Amazon did, but I mean, especially when John, when you look at things like smaller outposts, you know, going hybrid, Andy Jassy redefining hybrid, you need partners to really help you plan design, implement, manage at scale. >>Yeah. You know, one of the things I'm always, um, you know, saying nice things about Amazon, but one of the things that they're vulnerable on in my opinion is how they balanced their own SAS offerings and with what they develop in the ecosystem. This has been a constant, um, challenge and, and they've balanced it very well. Um, so other vendors, they are very clear. They make their own software, right. And they have a channel and it's kind of the old playbook. Amazon's got to reinvent the playbook here. And I think that's, what's key today on stage Doug Yom. He's the, uh, the leader you had, um, also Dave McCann who heads up marketplace and Sandy Carter who heads up worldwide public sector partners. So Dave interesting combination of three different teams, you had the classic ISV partners in the ecosystem, the cohesiveness of the world, the EMCs and so on, you had the marketplace with Dave McCann. That's where the future of procurement is. That's where people are buying product and you had public sector, huge tsunami of innovation happening because of the pandemic and Sandy is highlighting their partners. So it's partner day it's partner ecosystem, but multiple elements. They're moving marketplace where you buy programs and competencies with public sector and then ISV, all of those three areas are changing. Um, I want to get your take because you've been following ecosystems years and you've been close to the enterprise and how they buy your, >>And I think, I think John, Oh, a couple of things. One is, you know, Dave McCann was talking a lot about how CIO is one of modernize applications and they have to rationalize, and it will save some of that talk for later on, you know, Tim prophet on. But there's no question that Amazon's out to reinvent, as you said, uh, the whole experience from procurement all the way through, and, you know, normally you had to, to acquire services outside of the marketplace. And now what they're doing is bundling the services and software together. You know, it's straightforward services, implementation services, but those are well understood. The processes are known. You can pretty much size them and price them. So I think that's a huge opportunity for partners and customers to reduce friction. I think the other thing I would say is ecosystems are, are critical. >>Uh, one of the themes that we've been talking about in the cube as we've gone from a product centric world in the old days of it to a platform centric world, which has really been the last decade has been about SAS platforms and cloud platforms. And I think ecosystems are going to be a really power, the new innovation in the coming decade. And what I mean by that is look, if you're just building a service and Amazon is going to do that same service, you know, you got to keep innovating. And one of the ways you can innovate is you can build on ecosystems. There's all this data within industries, across industries, and you can through the partner network and through customer networks within industry start building new innovation around ecosystems and partners or that glue, Amazon's not going to go in. And like Jandy Jesse even said in the, uh, in his fireside chat, you know, customers will ask us for our advice and we're happy to give it to them, but frankly partners are better at that nitty gritty hardcore stuff. They have closer relationships with the customers. And so that's a really important gap that Amazon has been closing for the last, you know, frankly 10 years. And I think that to your point, they've still got a long way to go, but that's a huge opportunity in that. >>A good call out on any Jess, I've got to mention that one of the highlights of today's keynote was on a scheduled, um, Andy Jassy fireside chat. Uh, normally Andy does his keynote and then he kind of talks to customers and does his thing normally at a normal re-invent this time he came out on stage. And I think what I found interesting was he was talking about this builder. You always use the word builder customer, um, solutions. And I think one of the things that's interesting about this partner network is, is that I think there's a huge opportunity for companies to be customer centric and build on top of Amazon. And what I mean by that is, is that Amazon is pretty cool with you doing things on top of their platform that does two things serves the customer's needs better than they do, and they can make more money on and other services look at snowflake as an example, um, that's a company built on AWS. I know they've got other clouds going on, but mainly Amazon Zoom's the same way. They're doing a great solution. They've got Redshift, Amazon, Amazon's got Redshift, Dave, but also they're a customer and a partner. So this is the dynamic. If you can be successful on Amazon serving customers better than Amazon does, that's the growth hack. That's the hack on Amazon's partner network. If you could. >>I think, I think Snowflake's a really good example. You snowflake you use new Relic as an example, I've heard Andy Jess in the past use cloud air as an example, I like snowflake better because they're, they're sort of thriving. And so, but, but I will say this there's a, they're a great example of that ecosystem that we just talked about because yes, not only are they building on AWS, they're connecting to other clouds and that is an ecosystem that they're building out. And Amazon's got a lot of snowflake, I guess, unless you're the Redshift team, but, but generally speaking, Snowflake's driving a lot of business for Amazon and Andy Jesse addressed that in that, uh, in that fireside chat, he's asked that question a lot. And he said, look, we, we, we have our primary services. And at the same time we want to enable our partners to be successful. And snowflake is a really good example of that. >>Yeah. I want to call out also, uh, yesterday. Um, I had our Monday, I should say Tuesday, December 1st, uh, Jesse's keynote. I did an interview with Jerry chin with gray lock. He's investing in startups and one of the things he observed and he pointed out Dave, is that with Amazon, if you're, if you're a full all-in in the cloud, you're going to take advantage of things that are just not available on say on premises that is data patterns, other integrations. And I think one of the things that Doug pointed out was with interoperability and integration with say things like the SAS factor that they put out there there's advantages for being in the cloud specifically with Amazon, that you can get on integrations. And I think Dave McCann teases that out with the marketplace when they talk about integrations. But the idea of being in the cloud with all these other partners makes integration and interoperability different and unique and better potentially a differentiator. This is going to become a huge deal. >>I didn't pick up on that because yesterday I thought I wasn't in the keynote. I think it was in the analyst one-on-one with, with Jesse, he talked about, you know, this notion that people, I think he was addressing multi-cloud he didn't use that term, but this notion of an abstraction layer and how it does simplify things in, in his basic, he basically said, look, our philosophy is we want to have, you know, the, the ability to go deep with the primitives and have that fine grain access, because that will give us control. A lot of times when you put in this abstraction layer, which people are trying to do across clouds, you know, it limits your ability to really move fast. And then of course it's big theme is, is this year, at the same time, if you look at a company who was called out today, like, like Octa, you know, when you do an identity management and single sign-on, you're, you're touching a lot of pieces, there's a lot of integration to your point. >>So you need partners to come in and be that glue that does a lot of that heavy lifting that needs to needs to be done. Amazon. What Jessie was essentially saying, I think to the partner network is, look, we're not going to put in that abstraction layer. You're going to you, you got to do that. We're going to do stuff maybe between our own own services like they did with the, you know, the glue between databases, but generally speaking, that's a giant white space for partner organizations. He mentioned Okta. He been talked about in for apt Aptio. This was Dave McCann, actually Cohesity came up a confluent doing fully managed Kafka. So that to me was a signal to the partners. Look, here's where you guys should be playing. This is what customers need. And this is where we're not going to, you know, eat your lunch. >>Yeah. And the other thing McCann pointed out was 200 new Dave McCann pointed out who leads these leader of the, of the marketplace. He pointed out 200 new ISP. ISV is out there, huge news, and they're going to turn already. He went, he talked with his manage entitlements, which got my attention. And this is kind of an, um, kind of one of those advantage points that it's kind of not sexy and mainstream to talk about, but it's really one of those details. That's the heavy lifting. That's a pain in the butt to deal with licensing and tracking all this compliance stuff that goes on under the covers and distribution of software. I think that's where the cloud could be really advantaged. And also the app service catalog registry that he talked about and the professional services. So these are areas that Amazon is going to kind of create automation around. >>And as Jassy always talks about that undifferentiated heavy lifting, they're going to take care of some of these plumbing issues. And I think you're right about this differentiation because if I'm a partner and I could build on top of Amazon and have my own cloud, I mean, let's face it. Snowflake is a born in the cloud, in the cloud only solution on Amazon. So they're essentially Amazon's cloud. So I think the thing that's not being talked about this year, that is probably my come up in future reinvents is that whoever can build their own cloud on top of Amazon's cloud will be a winner. And I, I talked about this years ago, data around this tier two, I call it tier two clouds. This new layer of cloud service provider is going to be kind of the, on the power law, the, the second wave of cloud. >>In other words, you're on top of Amazon differentiating with a modern application at scale inside the cloud with all the other people in there, a whole new ecosystem is going to emerge. And to me, I think this is something that is not yet baked out, but if I was a partner, I would be out there planning like hell right now to say, I'm going to build a cloud business on Amazon. I'm going to take advantage of the relationships and the heavy lifting and compete and win that way. I think that's a re redefining moment. And I think whoever does that will win >>And a big theme around reinventing everything, reinvent the industry. And one of the areas that's being reinvented as is the, you know, the VAR channel really well, consultancies, you know, smaller size for years, these companies made a ton of dough selling boxes, right? All the, all the Dell and the IBM and the EMC resellers, you know, they get big boats and big houses, but that business changed dramatically. They had to shift toward value, value, value add. So what did they do? They became VMware specialists. They came became SAP specialists. There's a couple of examples, maybe, you know, adding into security. The cloud was freaking them out, but the cloud is really an opportunity for them. And I'll give you an example. We've talked a lot about snowflake. The other is AWS glue elastic views. That's what the AWS announced to connect all their databases together. Think about a consultancy that is able to come in and totally rearchitect your big data life cycle and pipeline with the people, the processes, the skillsets, you know, Amazon's not going to do that work, but the upside value for the organizations is tremendous. So you're seeing consultancies becoming managed service providers and adding all kinds of value throughout the stack. That's really reinvention of the partnership. >>Yeah. I think it's a complete, um, channel strategy. That's different. It doesn't, it looks like other channels, but it's not, it's, it's, it's driven by value. And I think this idea of competing on value versus just being kind of a commodity play is shifting. I think the ISV and the VARs, those traditional markets, David, as you pointed out, are going to definitely go value oriented. And you can just own a specialty area because as data comes in and when, and this is interesting. And one of the key things that Andy Jassy said in his fireside chat want to ask directly, how do partners benefit when asked about his keynote, how that would translate to partners. He really kind of went in and he was kind of rambling, but he, he, he hit the chips. He said, well, we've got our own chips, which means compute. Then he went into purpose-built data store and data Lake data, elastic views SageMaker Q and QuickSight. He kind of went down the road of, we have the horsepower, we have the data Lake data, data, data. So he was kind of hinting at innovate on the data and you'll do okay. >>Well, and this is again, we kind of, I'm like a snowflake fan boy, you know, in the way you, you like AWS. But look, if you look at AWS glue elastic views, that to me is like snowflakes data cloud is different, a lot of pushing and moving a date, a lot of copying data. But, but this is a great example of where like, remember last year at reinvent, they said, Hey, we're separating compute from storage. Well, you know, of course, snowflake popularized that. So this is great example of two companies thriving that are both competitors and partners. >>Well, I've got to ask you, you know, you, you and I always say we kind of his stories, we've been around the block on the enterprise for years. Um, where do you Mark the, um, evolution of their partner? Because again, Amazon has been so explosive in their growth. The numbers have been off the charts and they've done it well with and pass. And now you have the pandemic which kind of puts on full display, digital transformation. And then Jassy telegraphing that the digital global it spend is their next kind of conquering ground, um, to take, and they got the edge exploding with 5g. So you have this kind of range and they doing all kinds of stuff with IOT, and they're doing stuff in you on earth and in space. So you have this huge growth and they still don't have their own fully oriented business model. They rely on people to build on top of Amazon. So how do you see that evolving in your opinion? Because they're trying to add their own Amazon only, we've got Redshift that competes with others. How do you see that playing out? >>So I think it's going to be specialized and, and something that, uh, that I've talked about is Amazon, you know, AWS in the old day, old days being last decade, they really weren't that solution focused. It was really, you know, serving the builders with tooling, with you, look at something like what they're doing in the call center and what they're doing at the edge and IOT there. I think they're, so I think their move up the stack is going to be very solution oriented, but not necessarily, you know, horizontal going after CRM or going after, you know, uh, supply chain management or ERP. I don't think that's going to be their play. I think their play is going to be to really focus on hard problems that they can automate through their tooling and bring special advantage. And that's what they'll SAS. And at the same time, they'll obviously allow SAS players. >>It's just reminds me of the early days when you and I first met, uh, VMware. Everybody had to work with VMware because they had a such big ecosystem. Well, the SAS players will run on top. Like Workday does like Salesforce does Infour et cetera. And then I think you and I, and Jerry Chen talked about this years ago, I think they're going to give tools to builders, to disrupt the service now is in the sales forces who are out buying companies like crazy to try to get a, you know, half, half a billion dollar, half a trillion dollar market caps. And that is a really interesting dynamic. And I think right now, they're, they're not even having to walk a fine line. I think the lines are reasonably clear. We're going up to database, we're going to do specialized solutions. We're going to enable SAS. We're going to compete where we compete, come on, partner ecosystem. And >>Yeah, I, I, I think that, you know, the Slack being bought by Salesforce is just going to be one of those. I think it's a web van moment, you know, um, you know, where it's like, okay, Slack is going to go die on Salesforce. Okay. I get that. Um, but it's, it's just, it's just, it's just, it's just old school thinking. And I think if you're an entrepreneur and if you're a developer or a partner, you could really reinvent the business model because if you're, dis-aggregating all these other services like you can compete with Salesforce, Slack has now taken out of the game with Salesforce, but what Amazon is doing with say connect, which they're promoting heavily at this conference. I mean, you hear it, you heard it on Andy Jessie's keynote, Sandy Carter. They've had huge success with AWS connect. It's a call center mindset, but it's not calling just on phones. >>It's contact that is descent, intermediating, the Salesforce model. And I think when you start getting into specialists and specialism in channels, you have customer opportunity to be valuable. And I think call center, these kinds of stories that you can stand up pretty quickly and then integrate into a business model is going to be game changing. And I think that's going to going to a lot of threat on these big incumbents, like Salesforce, like Slack, because let's face it. Bots is just the chat bot is just a call center front end. You can innovate on the audio, the transcriptions there's so much Amazon goodness there, that connect. Isn't just a call center that could level the playing field and every vertical >>Well, and SAS is getting disrupted, you know, to your, to your point. I mean, you think about what happened with, with Oracle and SAP. You had, you know, these new emerging players come up like, like Salesforce, like Workday, like service now, but their pricing model, it was all the same. We lock you in for a one-year two-year three-year term. A lot of times you have to pay up front. Now you look at guys like Datadog. Uh, you, you look at a snowflake, you look at elastic, they're disrupting the Splunks of the world. And that model, I think that SAS model is right for disruption with a consumption pricing, a true cloud pricing model. You combine that with new innovation that developers are going to attack. I mean, you know, people right now, they complain about service now pricing, they complain about Splunk pricing. They, you know, they talk about, Oh, elastic. We can get that for half the price Datadog. And so I'm not predicting that those companies service now Workday, the great companies, but they are going to have to respond much in the same way that Oracle and SAP had to respond to the disruption that they saw. >>Yeah. It's interesting. During the keynote, they'll talk about going out to the mainframes today, too. So you have Amazon going into Oracle and Microsoft, and now the mainframes. So you have Oracle database and SQL server and windows server all going to being old school technologies. And now mainframe very interesting. And I think the, this whole idea of this SAS factory, um, got my attention to Cohesity, which we've been covering Dave on the storage front, uh, Mo with the founder was on stage. I'm a data management as a service they're part of this new SAS factory thing that Amazon has. And what they talk about here is they're trying to turn ISV and VARs into full-on SAS providers. And I think if they get that right with the SAS factory, um, then that's going to be potentially game changing. And I'm gonna look at to see if what the successes are there, because if Amazon can create more SAS applications, then their Tam and the global it market is there is going to, it can be mopped up pretty quickly, but they got to enable it. They got to enable that quickly. Yeah. >>Enabling to me means not just, and I think, you know, when Jesse answered your question, I saw it in the article that you wrote about, you know, you asked them about multi-cloud and it, to me, it's not about running on AWS and being compatible with Azure and being compatible with Google. No, it's about that frankly abstraction layer that he talked about, and that's what Cohesity is trying to do. You see others trying to do it as well? Snowflake for sure. It's about abstracting that complexity away and adding value on top of the cloud. In other words, you're using the cloud for scale being really expert at taking advantage of the native cloud services, which requires is that Jessie was saying different API APIs, different control, plane, different data plane, but taking that complexity away and then adding new value on top that's white space for a lot of players there. And, and, and I'll tell you, it's not trivial. It takes a lot of R and D and it takes really smart people. And that's, what's going to be really interesting to see, shake out is, you know, can the Dell and HPE, can they go fast enough to compete with the, the Cohesity's you've got guys like CLU Mayo coming in that are, that are brand new. Obviously we talked about snowflake a lot and many others. >>I think there's going to be a huge change in expectations, experience, huge opportunity for people to come in with unique solutions. We're going to have specialty programming on the cube all day today. So if you're watching us here on the Amazon channel, you know that we're going to have an all of a sudden demand. There's a little link on our page. On the, on the, um, the Amazon reinvent virtual event platform, click here, the bottom, it's going to be a landing page, check out all the interviews as we roll them out all day. We got a great lineup, Dave, we got Nutanix pure storage, big ID, BMC, Amazon leaders, all coming in to talk today. Uh, chaos search ed Walsh, Rachel Rose, uh, Medicar Kumar, um, Mike Gill, flux, tons of great, great, uh, partners coming in and they're going to share their story and what's working for them and their new strategies. And all throughout the day, you're going to hear specific examples of how people are changing and reinventing their business development, their partnership strategies on the product, and go to market with Amazon. So really interesting learnings. We're going to have great conversations all throughout the day. So check it out. And again, everything's going to be on demand. And when in doubt, go to the cube.net, we have everything there and Silicon angle.com, uh, for all the great coverage. So >>I don't think John is, we're going to have a conversation with him. David McCann touched on this. You talked about the need for modernization and rationalization, Tim Crawford on, on later. And th this is, this is sort of the, the, uh, the call-out that Andy Jassy made in his keynote. He gave the story of that one. CIO is a good friend of his who said, Hey, I love what you're doing, but it's not going to happen on my watch. And, and so, you know, Jessie's sort of poking at that, that, uh, complacency saying, guys, you have to reinvent, you have to go fast, you have to keep moving. And so we're gonna talk a little bit about what, what does that mean to modernize applications, why the CIO is want to rationalize what is the role of AWS and its ecosystem and providing that, that, that level of innovation, and really try to understand what the next five to seven years are gonna look like in that regard. >>Funny, you mentioned, uh, Andy Jesuit that story. When I had my one-on-one conversation with them, uh, he was kind of talking about that anonymous CIO and I, if people don't know Andy, he's a big movie buff, too, right? He loves it goes to Sundance every year. Um, so I said to him, I said, this error of digital transformation, uh, is kind of like that scene in the godfather, Dave, where, um, Michael Corleone goes to Tom Hagen, Tom, you're not a wartime conciliary. And what he meant by that was is that, you know, they were going to war with the other five families. I think now I think this is what chassis pointed out is that, that this is such an interesting, important time in history. And he pointed this out. If you don't have the leadership chops to lean into this, you're going to get swept away. >>And that story about the CIO being complacent. Yeah. He didn't want to shift. And the new guy came in or gal and they, and they, and they lost three years, three years of innovation. And the time loss, you can't get that back. And during this time, I think you have to have the stomach for the digital transformation. You have to have the fortitude to go forward and face the truth. And the truth is you got to learn new stuff. So the old way of doing things, and he pointed that out very aggressively. And I think for the partners, that same thing is true. You got to look in the mirror and say, where are we? What's the opportunity. And you gotta gotta go there. If not, you can wait, be swept away, be driftwood as Pat Gelsinger would say, or lean in and pick up a, pick up a shovel and start digging the new solution. >>You know what the other interesting thing, I mean, every year when you listen to Jassy and his keynotes and you sort of experienced re-invent culture comes through and John you're live in Silicon Valley, you talked to leaders of Silicon Valley, you know, well, what's the secret of success though? Nine times out of 10, they'll talk about culture, maybe 10 times out of 10. And, and, and so that's, that comes through in Jesse's keynotes. But one of the things that was interesting this year, and it's been thematic, you know, Andy, you know, repetition is important, uh, to, to him because he wants to educate people and make sure it sticks. One of the things that's really been he's been focused on is you actually can change your culture. And there's a lot of inertia. People say, well, not on my watch. Well, it doesn't work that way around here. >>And then he'll share stories about how AWS encourages people to write papers. Anybody in the organization say we should do it differently. And, and you know, they have to follow their protocol and work backwards and all of those stuff. But I believe him when he says that they're open to what you have a great example today. He said, look, if somebody says, well, it's 10 feet and somebody else says, well, it's, it's five feet. He said, okay, let's compromise and say it's seven and a half feet. Well, we know it's not seven and a half feet. We don't want to compromise. We either want to be a 10, Oh, we want to be at five, which is the right answer. And they push that. And that that's, he gives examples like that for the AWS culture, the working backwards, the frequently asked questions, documents, and he's always pushing. And that to me is very, very important and fundamental to understanding AWS. >>It's no doubt that Andy Jassy is the best CEO in the business. These days. If you look at him compared to everyone else, he's hands down, more humble as keynote who does three hour keynotes, the way he does with no notes with no, he memorize it all. So he's competitive and he's open. And he's a good leader. I think he's a great CEO. And I think it will be written and then looked back at his story this time in history. The next, I think post COVID Dave is going to be an error. We're going to look back and say the digital transformation was accelerated. Yes, all that good stuff, people process technology. But I think we're gonna look at this time, this year and saying, this was the year that there was before COVID and after COVID and the people who change and modernize will build the winners and not, and the losers will, will be sitting still. So I think it's important. I think that was a great message by him. So great stuff. All right. We gotta leave it there. Dave, the analysis we're going to be back within the power panel. Two sessions from now, stay with us. We've got another great guest coming on next. And then we have a pair of lb talk about the marketplace pricing and how enterprises have CIO is going to be consuming the cloud in their ecosystem. This is the cube. Thanks for watching..

>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by Combolt. >>Hey, welcome back to the cubes coverage of combo go 19. Stu Miniman is here with me, Lisa Martin and we are wrapping up two days of really exciting wall to wall coverage of the new vault and we're very pleased to welcome a couple of special guests onto the program. To help us wrap up our two days, we have Miranda foster, the vice president of worldwide communications for comm vault and Al Bunty is here, the co founder, former COO and board member. Welcome Miranda and Al. Great to have you on the program. Thanks Lisa. So a lot of energy at this event and I don't think it has anything to do with our rarefied air here in the mile high city. Al, let's start with you. >>Well, there's other things in Colorado. >>There are, yeah, they don't talk about it. They talked about that on stage yesterday. So owl, you have been with convo ball as I mentioned, co-founder. What an evolution over the last 20 years. Can you take us back? >>Surely. So, um, yeah and it's been, it's, it's really kind of cool to see it coming together at this point. But if you go back 20 years when we started this, the whole idea was around data. And remember we walked into a company that was focused on optical storage. Um, we decided it would be a good company to invest in. Um, for two reasons. One, we thought they were really great people here, very creative and innovative and two, it was a great space. So if we believed we believe data would grow and that was a pretty decent thesis to go with. Yeah. And then, then it started moving from there. So I tell people I wasn't burdened with facts so I didn't understand why all these copies were being made of the same set of data. So we developed a platform and an architecture focused on indexing it so you just index at once and then could use it for many different purposes. >>And that just kept moving through the years with this very data centric approach to storage, management, backup protection, etc. It was all about the data. I happened to be lucky and said, you know, I think there's something to this thing called NAS and sand and storage networks and all those things. And I also said we have to plan for fur on scale on our solution of a million X. Now it was only off a magnitude of about a thousand on that, but it was the right idea. You know, you had to build something to scale and, and we came in and we wanted to build a company. We didn't want to just flip a company but we thought there is a longterm vision in it and if you take it all the way to the present here it's, it's really, um, it's, it feels really good to see where the company came from. It's a great foundation and now it will propel off this foundation, um, with a similar vision with great modern execution and management. >>Yeah. Al, when we had the chance to talk with you last year at the show in Nashville, it was setting up for that change. So I want to get your view there. There are some things that the company was working on and are being continued, but there's some things that, you know, Bob hammer would not have happened under his regime. So want to get your viewpoint as to the new Convolt, you know, what, what is, what are some of those new things that are moving forward with the company that might not have in the previous days? >>Yeah, that's a good questions. Do I think Mo, a lot of the innovation that you've seen here, um, would have happened maybe not as quickly. Um, we, the company obviously acquired Hedvig. Uh, we were on a very similar path but to do it ourselves. So you had kind of been a modern, we need to get to market quicker with some real pros. I think, um, the, the evolution of redoing sales management essentially was probably the biggest shift that needed to be under a new regime, if you will. Yeah. >>So Miranda, making these transitions can be really tricky from a marketing standpoint. Talk, talk us through a bit, some of the, how do you make sure trusted yet innovative and new that you've accomplished at this show? >>Well, trust it is obviously the most important because the Bob, the brand that Bob and Al built really embodies reliability for what we provide to our customers. I mean that's what gives them the peace of mind to sleep at night. But I'll tell you, Sanjay has been with us for just eight months now, February of 2019 and it's been busy. We've done a lot of things from a points on J transition with Bob and now to his point we've, we've acquired Hedvig, we've introduced this new SAS portfolio and you're exactly right. What we need to do is make sure that the reliability that customers have come to rely on Convolt for translates into what we're doing with the new Convolt and I think we've done a really good job. We've put a lot of muscle behind making sure, particularly with metallic that it was tried, it was trusted, it was beta tested, we got input from customers, partners, industry influencers. We really built it around the customer. So I think the brand that comm brings will translate well into the things that we've done with these, with these new shifts and movements within the company >>on, on that questions too as well. Um, I think Miranda is a good example of somebody that was with the company before a tremendous talent. She's got new opportunities here and she's run with it. So it's kinda that balance of some, uh, understood the fundamentals and the way we're trying to run the business. And she's grasped the new world as well. So, >>and Rob as well, right? Robin in his new, >>yeah, that's another good point. So that was all part of the transitioning here and Sanjay and the team had been very careful on trying to keep that balance. >>Change is really difficult anywhere, right? Dissect to any element of life. And you look at a business that's been very successful, has built a very strong, reliable brand for 20 years. Big leadership changes, not just with Sanjay, but all of the leadership changes. You know, analysts said, all right, you've got to upgrade your Salesforce. We're seeing a lot of movement in the area. You got to enhance your marketing. We're seeing metallic has the new routes to market, new partner focus, so PSI focuses. We're also seeing this expansion in the market, so what folks were saying, you know a year ago come on is answering in a big way and to your point in a fast way that's not easy to do. You've been here nine years since the beginning. Can you give us a little bit of a perspective, Miranda, about some of the things that were announced at the show? >>How excited everybody is, customers, partners, combo folks. How do you now extend the message and the communications from go globally after the show ends? That's an awesome question. I'm really passionate about this. So you know, Monday we announced metallic, we announced a new head of channels and alliances and Mercer Rowe, we had crazy technology innovation announcements with activate, with the acceleration of the integration with Hedvig with the momentum release that we put out today. We're also doing cool stuff with our corporate social responsibility in terms of sponsoring the new business Avengers coalition. That's something that Chris Powell is really championing here at, at the show and also within combo. So we're very excited about that. And then when you add people like yourselves, you know the tech field day folks, because not everybody can be here, right? Not everybody can be at go. So being able to extend the opportunity for, for folks to participate in combo, go through things like the cube through things like tech field day and using our social media tools and just getting all of the good vibes that are here. Because as Al says, this really is an intimate show, but we try to extend that to anybody who wants to follow us, to anybody who wants to be a part of it. And that's something that we've really focused on the last couple of years to make sure that folks who aren't here can, can get an embrace the environment here at Commonweal go. >>It's such an important piece that you're here helping with the transition I talked about. It's important that some of the existing >>get new roles and do responsibility going forward. What's your role going to be and what should we expect to see from you personally? Somebody has got to mow the lawn. >>Yeah. >>But yes, do I, I'll stay on the board. Um, we're talking through that. I think I'll be a very active board, not just the legal side of the equation. Um, try and stay involved with customers and, and strategies and, and even, uh, potential acquisitions, those kinds of things. Um, I'm also wandering off into the university environment. Uh, my Alma mater is a university of Iowa. I'm on the board there and uh, I'm involved in setting up innovation centers and entrepreneurial programs and that kind of thing. Um, I'll keep doing my farming thing and uh, actually have some ideas on that. There's a lot of technology as you guys know, attacking Nat space. So, and like I said, I'll try to keep a lot of things linked back into a combo. >>What Al can have confidence in is that I will keep him busy. So there's that. And then I will also put on the table, we agree to disagree with our college athletic loyalties. So I'm a big kid just because we don't compete really. Right. So I mean, but if I won Kansas wherever to play, then we would just politely disagree. Yeah. Well that's good that you have this agreement in place. I would love to get some anecdotal feedback from you of some of the things that you've heard over the last three days with all this news, all these changes. What are you hearing from customers and partners who you've had relationships with for a very long time? >>I think they're, I think they're all really excited, but, and maybe I'm biased, but they liked the idea that we're trying to not throw out all the old focus on customers, focus on technologies, continue the innovation. I'm pleased that we, Miranda and the team started taking this theme of what we do to a personal level, you know, recovery and those kinds of things. It isn't just the money in the business outages. It's a really a effect on a personal lives. And that resonates. I hear that a lot. Um, I asked our bigger customers and they've loved us for our support, how we take care of them. The, the intimacy of the partnership, you know, and I think they feel pleased that that's staying yet there's lot of modern Emity if that's a good word. I think fokai was what you, I think it's the blend of things and I think that really excites people. >>We've heard that a lot. You guys did a great job with having customers on stage and as a marketer who does customer marketing programs, I think there's nothing more validating than the voice of a customer. But suddenly today that I thought was a pivot on that convo, did well as Sonic healthcare was on main stage. And then he came onto the program and I really liked how he talked about some of the failures that they've been through. You know, we had the NASA talking yesterday, NASA, 60 years young, very infamous, probably for failure is not an option, but it is a very real possibility whether you're talking about space flight or you're talking about data protection and cyber attacks and the rise of that. And it was really, I'd say, refreshing to hear the voice of a customer say, these are the areas in which we failed. This is how come they've helped us recover and how much better and stronger are they? Not just as a company as Sonic healthcare, but even as an individual person responsible for that. That was a really great message that you guys were able to extend to the audience today and we wanted to get that out. >>I loved that as well. I think that was good. I have also back on driving innovation, I always felt one of my biggest jobs was to not punish people that failed. Yeah. I, you know, with the whole engineering team, the bright people in marketing, I, I would be very down on them if they didn't try, but I never wanted them to feel bad about trying and never punish them. >>And one of the things Matthew said on main stage, first of all, I love him. He's great. He's been a longtime CommonWell supporter. I love his sense of humor. He said, you know, combo came to me and said, can you identify, you know, your biggest disaster recovery moment? And he was like, no, because there's so many. Yes. Right? Like there's so many when you're responsible for this. It's just the unpredictability of it is crazy. And so he couldn't identify one, but he had a series of anecdotes that I think really helped the audience identify with and understand this is, these are big time challenges that we're up against today. And hearing his use case and how con ball is helping him solve his heart problems, I think was really cool. You're right. I loved that too. He said, I couldn't name one. There are so many. That's reality, right? As data proliferates, which every industry is experiencing, there's a tremendous amount of opportunity. There's also great risk as technology advances for good. The bad actors also have access to that sort of technology. So his honesty, I thought was, was refreshing, but spot on. And what a great example for other customers to listen to the RA. To your point, I, if I punish people for failure, we're not going to learn from it. >>Yeah, you'll never move forward. >>Miranda. So much that we learn this week at the shows. Some, a lot of branding, a lot of customers, I know some people might be taking a couple of days off, but what should we expect to be seeing from con vault post go this year, >>continue to innovation. We're not letting our foot off the gas at all. Just continuing innovation as as as we integrate with Hedvig continued acceleration with metallic. I mean those guys are aggressive. They were built as a startup within an enterprise company built on Comvalt enterprise foundation. Those guys are often running, they are motivated, they're highly talented, highly skilled and they're going to market with a solution that is targeted at a specific market and those guys are really, really ready to go. So continued innovation with Hedvig integrate, sorry, integration with Hedvig with metallic. I think you're just going to be seeing a lot more from Combalt in the future on the heels of what we consider humbled, proud leadership with the Gartner magic quadrant. You know the one two punch with the Forrester wave. I think that you're just going to be seeing a lot more from Combalt and in terms of how we're really getting out there and aggressive. And that's not to mention Al, you know what we do with our core solutions. I mean today we just announced a bunch of enhancements to the core technology, which is, which is the bread and butter of, of what we do. So we're not letting the foot off the gas to be sure >>the team stay in really, really aggressive too. And the other thing I'd add as a major investor that I'm expecting is sales. Now I'd love to just your, your final thoughts that the culture of Convolt because while there's some acceleration and there's some change, I think some of the fundamentals stay the same. Yeah, it's, it's right to, and again, that's why I feel we're at a good point on this transition process. You alluded to it earlier, but I feel really good about the leadership that's in, they've treated me terrifically. I'm almost almost part of the team. I love that they're, they're trying to leverage off all the assets that were created in his company. Technology, obviously platform architecture, support base, our support capabilities. I, I told Sandy today I wish she really would have nailed the part about, and by the way, support and our capabilities with customers as a huge differentiator and it was part of our original, Stu knows he's heard me forever. Our original DNA, we wanted to focus on two things. Great technology, keep the great technology lead and customer support and satisfaction. So those elements, now you blend that stew with really terrific Salesforce. As Ricardo says, have you guys talk with Ricardo soon? But anyway, the head of sales is hiring great athletes, particularly for the enterprise space. Then you take it with a real terrific marketing organization that's focused, Oh, had modern techniques and analytics on all those things. You know, it's, it's in my opinion, as an investor especially, I'm expecting really good things >>bar's been set well. I can't think of a better way for Sue and me to our coverage owl veranda. Thank you. This has been fantastic. You've got to go. You get a lawn to mow, you've got a vacation to get onto and you need some wordsmithing would focus your rights. You have a flight ticket. They do five hours. Hi guys. Thank you. This has been awesome. Hashtag new comm vault for our guests and I, Lisa Martin, you've been watching the cubes coverage of Convault go and 19 we will see you next time.

>> from Burlingame, California It's the Cube covering Suma logic illuminate 2019. Brought to you by Sumer Logic >> Hey, welcome back there. Ready Geoffrey here with the Cube where it's suma logic illuminate 2019. We're here >> at the Hyatt Regency San Francisco Airport is about 809 100 people packed house in the keynote earlier this afternoon. Really excited tohave. The guy that was >> running the whole show was running the whole show here for this company. He's remain Sayer, >> the president and CEO of To Malachi Remain great to see you again. You too. Thanks. Absolutely. So 30 year. The show Second year of us being here. Wonder if you could just kind of reflect on how this thing is growing. >> Yeah. I mean, I think it's really a testament to the community more so than sumo, and we've seen a lot of growth naturally, because of where customers are with their own adoption of technologies such as cloud, but also transformations that they're going through like digital transformation, cloud transformation so naturally that allows for more audience of people to attend conference like this. Because this is not a sales marketing conference. This is a user conference. And as evidenced by the fact that 60 plus percent of the content is users themselves in the community present. >> Right? And you talked about the theme is really this intelligence gap, which, which was really a key piece of the key note. And it's interesting because talking about data in huge amounts of data flow, exponential growth and types of data, flow of data, sources of data and your data is just data until it turns into information. And then if it turns into good information, that actually could maybe turn into some intelligence and some action that you can do something with. But there's no person that has the ability to manage the data flows now that we're starting to see. So you guys are really coming at that at the core? You've been at it for a long time. You made some great early on bets being cloud native and now really starting to see the benefits as this exponential growth of data just hits everybody >> you're spot on, I think, um, you know, maybe to add to that, I think the challenge that we see despite the tsunami of data growth, is that a lot of organizations still struggle because the lacked ability to be able to share the insights and intelligence they glean from this data. So a lot of things we spoke about the key note today was the whole notion of the intelligence gap that exists. And that's predicated on the fact that you know, we're all going through some sort of transformation or migration or business model change. And with that comes five challenges that we talked about with respect to continues intelligence we internally has actually referred to as a challenge of minding the gap of intelligence trap because we need to help our customers become intelligent and collaborate, communicate much more effectively by virtue of what we've become that what we've become is that trusted partner, that data steward that is sitting on all this valuable insights that we need to be able provide continuously to our community of users. >> Right, if you talked about it really out along three different metrics, right, the operations metrics, which is probably what people think of top of mine security metric on then, as well as the business metric. And, you know, we had a Robert Parker on earlier from smart thing Samsung Smart Things, and he made an interesting comment that they are pervasive users of Suma logic within the company, which I thought was really interesting because everyone's chasing innovation. How do you get innovative? I think one of the core ways, as you give more people more access to more data and the tools to actually do something with it. That seems to be a big piece of the of the smart thing story. And that's really a big part of your guys. Messaging. >> Yeah, I mean, I think unlike other vendors who have restrictions on adoption and usage on or charging by user model, you know, we're trying to make sure we tear those silos down on one of the nature's by nature. One of things you have to do is provide ubiquitous access, and second thing you have to do is built to dress all different types of data so you can get value for all those users and ubiquitous access. And so you hear about that through not just smart things, but a lot of other customers and partners that are here today because that's unlike the old models, >> right? Right. It's interesting, right? Minds, we backed you know, 97 97 98 99 when first started seeing people build Web applications. And they had all these pricing models based on, you know, cores and CP use because it was based on how many employees were inside the inside the walls and would have access to the applications. And they try to apply this to to a public Web page. It doesn't work. Still see some of that nasty legacy stuff, though, >> right? And would now it was 20 years later. So you made >> a big announcement today about really changing your pricing model. Two more fit the realities of the world in which we live. >> Yeah, look on the surface. Why it seems revolutionary. It's not. It's evolutionary for sumo. It's something we've been doing since we first started. For example, we always provided a service that charges an average for the month, not for the penalty. You're going over a day we didn't charge for user's because that's antiquated model. More importantly, we actually provide in an economic model all along the mere the business model of all these companies. So the more you ingest and use the lower your cost become not more right. And so the things we announced today is a further commitment that we have been making to the community and effectively taken the headache away from them because he looked at these other tools, for example, that provide observe ability for monitoring or for security. You have to go calculate, count the licenses. You have to go look at the number data point for a minute. You have to look at the number nodes and who wants to manage software you want to manage Service's. And so what we've done has really taken the next license taken existing licensing mall that we have to the next level and providing a credit based system so that you can flex and choose what you want to use in a given day and give a month and given Pierre recycle across a new suite of packing ages or a suite of products that we brought to market >> right or whatever, whatever you are optimizing for that particular day. That particular moment, that particular business >> but also ties or something you mentioned earlier it it actually helps tear down those silos that other vendors air creating because it provides ubiquitous access to all users for all different types of data, right? And instead of trying to keep those silos and separation that exists, that further challenges intelligence gap that we're seeing in intelligence. Economy, >> right, Right. What? Another great slide. I thought earlier in the keynote was given by Anheuser Busch, and he talked about his security infrastructure and all different layers of security in the solution that he has for, you know, front kind of front door and fishing, etcetera, etcetera. But the great thing is, you basically crossed all those applications stack and and it's a pretty interesting position for you guys to be in to be able to integrate with all these other kind of point solutions that make up parts of the puzzle and to bring it all back and to still have kind of this one ubiquitous Data Analytics platform to go on and do stuff with that. >> Yeah, I mean, I think it's truth be told, something we've been doing for a long time. I think the visual that you saw there is the challenged a lot of our customers have, and specifically they have these silos >> of >> endpoint or firewall or email or whatever else, and it could only make sense of it by leveraging the monitoring of those silos to an intelligence platform like sumo. And so the same thing that you saw in security with Anheuser Busch being able to leverage the silos into intelligence platform for security. We see in the monitoring space for developers and operations team so they'll have silo tools. But observe ability, is not it. You need continuous reliability, and therefore you need to be able to take all those different types of dead and signals, just like you saw on security for the different types of infrastructure and applications that your manager aging and provide an intelligence based system and service, not a monitoring based on the system of service. >> Right? Another big trend that's happening. You guys were riding this wave and you're Jennifer up from from Google Cloud and she she had the same presentation on Antos. I think at the Google Cloud platform, someone earlier today, you know the Mo Mentum behind Hybrid Cloud as kind of the whipsaw. You know, it's all jump into public and then let's not jump in and its hybrid and its multi. The fact of the matter is, everything's going to work supposed to be, which is its workloads Pacific and the works load should run where the workload should run Really a great moment, um, for you guys to be ableto leverage because regardless of where the work flows running based on where it should run, I need to see it in a unified front. Back at the back of the ranch. >> Have a Jeff. I think this is what we saw even last year when we put the continuous intelligence report out, then let alone the changes we saw this year. For example, we saw Container Technologies moved from development to production last year in north of two ex growth. Now we're seeing orchestration technologies like Kubernetes more than two Ex Growth. And what's driving the multi cloud common that you made is because the customers want flexibility and choice of where those work clothes run. Historically, they have been able to do that until now. Leveraging contain orchestration, technology that builds an abstraction layer from the eye. Astor infrastructure is a service later, and obviously a testament to what Google's been doing with an throws in the partnership we have with them. Tow develop and integrate things for anthros. Ston service mesh. >> Yeah. So what's next? What do you looking for? I can't believe we're almost done with 2019. It still shocks me every time I flipped a calendar. >> What? Your priorities going forward? >> Another great event. 2020 year of insight and all knowledge. What we're saying we're gonna be, >> uh >> you >> know, we started down this journey before the market was there, and I think the unique position and fortunate position that we're in right now is Maura, Maura, that market opportunities to us and the community's getting more powerful and stronger day by day and year by year. So we're very early innings of this honestly. And so what do we see? Going forward to your question is a lot of the execution of our strategy that we set out a while ago to build the only continuous intelligence platform. And more importantly, the new category of software called into continues intelligence. That's really mirroring the OMB operating model and economic model of every single digital business that needs to thrive, not just survive >> right in an era of exponential growth data, complexity, sources, types, which is ah, good place to be all right. Well, we're mean. I know you're super busy. Thanks for taking a few minutes. And congratulations on a great show for sure. All right, >> ease remain. I'm Jeff. You're watching the Q word. Suma logic illuminate 2019. >> Thanks for watching. We'll see you next time.

from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back it ready Jeff Rick here with the cube we're in our Palo Alto studios today for a cube conversation a little bit of a break from the road we'd like to have guests come into the palo alto studio and have a little bit calmer conversation without all the buzz of the show and we're excited to have a return guest he hasn't been on for like two and a half years which i find extremely hard to believe it's been too long maria tar she's the CMO of keysight technologies really great to see you wonderful yeah so last time we had you on i had to look it up it was it was october 2016 and you were the CMO of Ixia which is a little bit different or really not that different tell us how you got from ixia to to keysight so keysight technologies acquired Exia and i was fortunate enough to be chosen to be the CMO for keysight technologies so it was a great evolution both for me personally and professionally right and a very kind of similar product and solutions portfolio bigger obviously than what you were doing at Ixia but for people that aren't familiar with keysight give them kind of the quick overview sure so Ixia served two audiences they really targeted the QA engineer as well as the IT infrastructure and keysight actually targets I would say the design engineer the manufacturing engineer part of the Ixia business which is very closely aligned to keysight's is in the test and measurement space so keysight technologies really helped any electrical engineer develop and innovate and bring products to market that that basically have an electric signal going through them what keysight delivers are things like oscilloscopes Network analyzers you know power supplies signal generators and and anything in terms of test and measurement right of design of electronics so you guys in companies been around for a while is four billion in revenue so you guys are basically testing and measuring pretty much everything right this as you say has an electronic signal go through it we have a broad area that we cover and we also have a very very long history in terms of being in this space our heritage started off as the original heel at Packard evolved into Agilent and keysight was spent out about four four or five years ago as an independent company and we're doing really well in terms of raising our awareness and visibility of a new name because anytime you change names you have to re-educate the market right hey this is us you've worked with us for a very long time and we continue to be leaders in this space right good opportunity for you though right that's the that's what they can good see in Mo's four I love my so the cool thing is not only are you working with stuff that's shipping today but you guys have good visibility into the future and as we talked about all the time you know there's some really massive mega trends that are that are coming down the pike that would love to you know kind of get your thoughts off one of them is is 5g and where World Congress was just a couple weeks ago I think you're also at RSA 5g has been getting talked about for a while but it's it's coming and and we see more and more parts I think there's actually been a couple hands that's delivered you probably know way more than I intended tower so wonder if you can explain to people a little bit about 5g when you think about five gene their potential because I don't think many people know much beyond kind of the buzzword that it's you know bigger faster stronger but it's a pretty significant leap over the Kern LTE it's truly a revolutionary and disruptive technology and it enables so much more than what's available today which has really been what I would call incremental evolution with 5g it is it's truly transformative because it you know in addition to faster it is going into spectrum that was traditionally reserved for organizations getting into millimeter-wave so it really changes the technology that we're all used to with the big cell towers 5g uses much smaller antennas and multiple antennas that actually sit on buildings it's you know in terms of because you're using millimeter wave it doesn't travel as long distances there's what you have with LTE which is sub 6 gigahertz that's all on the technology front what's really amazing about 5g is it has capabilities such as ultra-low latency and it's supposed to consume a lot less power so you could almost see it as as really disrupting and transforming everything and how we think about everything whether it's enabling the car of the future and autonomous driving because now all of a sudden your car can actually communicate to everything with vehicle to everything communication or cellular vehicle to everything communications you can think about it as a way that it's transforming IOT and the evolution of everything that's happening in IOT right so yes it's bigger faster better much more reliable you know much more lower latency and and for for those of us who care a lot about sustainability it's supposed to also deliver much lower power consumption right just interesting right because LTE was I think kind of the first step into real data space and and people figured out that we're using our phones for a lot more than talk in fact you know the data transmission rates are way higher than then the voice course on voice over IP and people watched football on their on their TV switches or on their screens which is unimaginable a couple years ago but in 5g now that's really not necessarily optimized for but really an enabler for as you said IOT and kind of this next level of you know kind of machine to machine communication it's not just me texting you with a data input but more these super-high fast really require low latency applications in this IOT and in the industrial IOT world that everybody's so psyched about it can't happen without this type of technology it really can't I mean the whole industry 4.0 and in terms of manufacturing and robotics and real-time communication that can happen in in in that if you think about a lot of the the cars that are out there if you look at Tesla they're doing ongoing updates and ongoing communications with all their cars all the time and so something like 5g enables even a higher degree of communication and understanding of what's going on with the vehicle and as you get into more of autonomous vehicles understanding what all the sensors and the radar in the car is seeing basically communicating that to what's happening with edge computing having all of that processing happen there and being able to you know send that back and and be able to adapt to the environment is going to be pretty significant and revolutionary I mean I think in every area this new technology in some ways just in terms of what it opens up will enable us to think of really transformative and disruptive ways of how we do things right and it does require going along for the ride investing early understanding what it means and I would say it crosses so many vertical industries right we definitely have to have lunch with you and Sandra Rivera from Intel it would be a really really fun lunch but I one of the things you touched on with that I don't think people really appreciate is this kind of new age of connected device and clearly Tesla's an easy example right it checks in every night but as we see more and more devices being connected kind of back to the mothership and and the ability for a maker of something to actually know now how are people using it it's not just I build it I ship it to my distributor and maybe I'll get a few back every now and then and we can we can take it apart and see how people used it but just the whole kind of product management lifecycle when you've got connected devices that actually report home and to how they're actually being used and how people are using them is such a transformational both the relationship between the user and the device but now the device back to the man you that they never never used to have before yeah and it has both kind of technological as well as I would say society oriented ramifications if you think about in the Tesla example you're effectively saying hey it's okay for Tesla to constantly talk to my car a lot of times we're used to the model of once I buy something it's mine you know this is my device not something that's part of your ongoing network so to speak and so with with a lot of these evolutions that are going on there's going to be both a capability shift in terms of what we can enable but there's also going to come with it somewhat of a society shift of what's now accessed about you so for example with IOT if you choose to move towards this concept of body area networks and having sensors all over you or potentially even embedded in you how that is being leveraged to provide you information how do you protect that from a security standpoint from someone tapping into that to abuse that information so a lot of those topics were really big topics at Mobile World Congress in terms of the coming of 5g and you know just even kind of there the the completion of the standard because it's not yet fully ratified yet right so there's ongoing evolutions and not there's obviously a lot of hype out there on this we are very much involved with the whole ecosystem that's involved in 5g all the way from chipsets to the devices to the networks that carry them you know sort of looking at the whole end-to-end eCos to the antennas you name it to the base stations we're involved in in that whole ecosystem and you as keysight we actually have to get in really early because all of those innovators are depending on our technology to test and validate that it will perform as expected because you're working with all those pieces of electronics in that hole that holes system yeah well Mobile World Congress is interesting last week or the week before was our essay and a lot of the things you're talking about I would argue are probably gonna be more important on the RS a type of kind of view of the world versus the Mobile World Congress assuming you get everything to work which which which I'm sure everybody will but but kind of the legal ramifications and the moral ramifications and the data privacy ramifications when there is so many more connected devices and as you said body area network right now it's my heart rate I went to an interesting Wall Street Journal conference where people can sell back their 23andme genomic data back into a pool for researchers who are looking for certain profiles so they can do their clinical trials and you know that's basically it's basically an electronic representation of literally who you are and so again I think you I think you touch on a lot of really important points that it's the security and David privacy and and in the the moral issues around how that's used treated stored protected are gonna be the bigger issues as we just get more and more of these things becoming really its software and data which we see in the products tehsils a lot more software than it is a car and that's why they can do updates all the time and keep updating the features well even in our business we're becoming much more of a software oriented business in terms of our test and measurement and how we look at the whole design workflow and to end so in many ways everything is is becoming software right just because if you think about this concept of the digitization that's going on of everything there's a lot of discussions about this concept of digital twins right where there's enough information derived from something physical that you can essentially replicate the digital twin and you can do the simulations and in in what you're describing you know you basically you could potentially have it model and represent whether it's a robotic process or a car process and anticipate hey this is time when this is going to wear down you know this is what I'm seeing out there and and it's almost becomes predictive right in terms of what's going on in the real world so it's it's really exciting stuff and it's wonderful to be at the because of this right going to RSA i agree with you all of those topics we're front and center very important to understand and have the visibility in terms of a lot of these 5g networks there's so much throughput going in how do you you know let's say you're a service provider and you want to offer this service how do you actually measure and have visibility in terms of really that is the service that you're offering so there's a lot of discussion in terms of providing that visibility and that security in terms of for those types of customers right it's funny we've done a lot of stuff with GE and back with the software group with Bill ruin team and they've talked about gee talks about digital twins a lot in the context of the industrial products that they built whether it's a turbine engine or whatever to the point that you said so you can do testing and you can do maintenance scheduling and all this other stuff what was weird at the Wall Street Journal conferences they're talking about digital twins for people your digital twins so now I can test you know how would you respond to certain drug treatments how might you respond to a different diet regime how might you respond differently to a different exercise regime and I'd never kind of heard that digital twin concept applied to a person and it's that's really interesting it's really interesting times but before I let you go I imagine your business has changed quite a bit as the kind of percentage of make up of all these devices has shifted from you know kind of dedicated purpose-built hardware which is probably relatively easy to test to kind of hardware platforms that are supporting a larger and increasing amount of software that actually drive the functionality must be good for your business because I'm sure the testing has got to be much more complex not to mention people are pushing updates all of the time really different models and just testing a box well it has changed and actually what's you know when I talk to our customers their goal is to innovate and bring their products to market faster and as a company that supports them our goal is to accelerate their innovation and a lot of times it's how do you share the information as it's going from the design engineer - you know sort of the the quality and test - then go to manufacturing because a designer will build his product and then he'll send it off and say ok I'm kind of done how do you then make sure that at every cog of the wheel you're basically able to share back what his expectation were when he was building it in a CAD system versus what what they're actually seeing when they test the real-life product versus what they actually see when they're manufacturing and applying the same tests so having that consistent software which at keysight we call path wave it really allows that acceleration and the sharing across all of those different groups so that you can optimize the flow so to speak of your design the other exciting part is is you're right there's just so much innovation and evolution in terms of the areas that we participate in because all of these technologies are changing you know we talked about sort of the the autonomous vehicle just as important as the electric vehicle and and the growth in terms of how do you manufacture and test batteries in a scale that's going to be required to keep up with the demand because traditional methods it takes a long time to to test a battery to make sure it's available and can be used and we have some really innovative technology that allows us to to expedite and accelerate that testing so customers of ours like BMW are leveraging this technology so that they can accelerate their their battery production testing and deployment right well we'll have to have you back another time we're out of time dig just just I'm so excited by the whole kind of change of mobility which is driven by really high capacity inexpensive batteries and these really powerful little brushless motors and and as those things kind of permeate and all these different form factors thankfully driven by the high bania fact or the high volume car manufacturers since it's the same little cells that run a lot of these things it's pretty pretty cool space but but we can't get deep into that this time I'll have to say throw for next time so hopefully it won't be another two and a half years I hope very well thanks for stopping by and really appreciate catching up thanks a lot Jeff good see you alright she's Marie I'm Jeff you're watching the key we're in her cube Studios in Palo Alto thanks for watching we'll see you next time [Music]

(futuristic electronic music) >> From Sand Hill Road in the heart of Silicon Valley, it's theCUBE presenting the People First Network, insights from entrepreneurs and tech leaders. >> Alright, I'm John Furrier with theCUBE. We are here in Sand Hill Road at Mayfield for their 50th anniversary content program called the People First Network, co-created with theCUBE, and with Mayfield and their network. I am John for theCUBE, our next guest is Pradeep Sindhu who is the former co-founder of Juniper Now, the co-founder and CEO of Fungible, a start-up with a super oriented technology we're going to get into, but first, Pradeep, great to see you. >> It's great to see you again, John. >> For a 50th anniversary, there's a lot of history. And just before we get started, we were talking almost 10 years ago, you and I, we did a podcast on the future of the iPhone, only about a year in, maybe half a year. You had the vision, you saw the flywheel of apps, you saw the flywheel of data, you saw mobile. That's actually exchanges to IoT that we're seeing today, that world that's playing out. So, obviously, you're a visionary and an amazing entrepreneur. That's actually happening, so. You saw it and how did you adjust to that? What was some of the things that you did after seeing that vision? >> Well, some of the things that I did, if you recall our conversation, a big piece of that was data centers and the fact that the ideal computer is centralized. There are other things I want to make distributed, but it was obvious back then that people would build very large data centers. And the same problem that happened with the internet, which is how do you connect billions of people and machines to each other, was going to come to data centers themselves. So that is the problem that I prepared myself for, and that's the problem that we're trying to solve at Fungible as well. >> And one of the things we've been having great conversation was as part of this 50th anniversary, People First, is the role of entrepreneurship. What motivated you to do another start-up? You had that itch you were scratching? You were also at Juniper Network, huge success, everyone knows the history there and your role there. But this is a wave that we've never seen before. What got you motivated, was it an itch you were scratching? Was it the vision around the data? What was the motivator? >> It wasn't necessarily an itch I was scratching. I'm a restless person. And if I'm not creating new things, I'm not happy. That's just the way I'm built. And I also saw simultaneously the ability, or this potential, to do something special a second time for the industry. So I saw a big problem to which I could contribute. >> And what was that problem? >> So that problem really was, back then, I would say 2012, 2013, it was obvious that Moore's law was going to flatten out. That this technology called CMOS, on which we've been writing now for 35, 40 years, was not giving us the gain that it once was. And that, as a result of that, transistors that one people thought were plentiful are going to become precious again. And one result of that would be that general purpose CPUs which were doubling in performance, or had been doubling in performance every couple of years, would stop doing that. And the question I ask myself is, that when that happens, what next? And so it's in the pursuit of what next is what led me to start my second company, Fungible. >> So what's interesting, we've been seeing a lot of posts out there, some cases criticizing Intel, some saying Intel has a good strategy. You see Nvidia out there doing some great things. The earnings are doing fantastic. The graphics, my kids want the new GPU for their games. Even their being bought for the people who are doing cryptocurrency mining, so the power of the processor has been a big part of that. Is that a symptom or a bridge to a solution, or is that just kind of the bloated nature of how hardware's going? >> It's not so much the bloated nature of hardware as it is the fact that, see, general purpose microprocessors or general purpose computing was invented by John Mo-noy-man in the late 1940s. This was just a concept that you could conceive and build something which is Turing-equivalent, which is completely general. In other word, any program that any computer you could conceive could be run by this one general purpose thing. This notion was new. The notion for programmable computer. This notion is incredibly powerful and it's going to take on all of the world. And Intel today is the best proponent of that idea. And they're taking it to the limit. I admire Intel hugely. But so many people have worked on the problem of building general purpose processors, faster and faster, better and better. I think there's not a lot in left that tank. That is the architecture is now played out. We've gone to multi-core. Further, the base technology on which microprocessors are built, which is CMOS, is now reaching, is beginning to reach it's limits. We think, actually general concessions in the industry, and I particularly also think, that five nanometers is probably the last CMOS technology because technology's getting more and more expensive with every generation, but the gains that you are getting previously are not there anymore. So, to give you an example, from 16 nanometers to seven, you get about a 40% improvement in power but only about a 5% improvement in performance and clock speed, and, in fact, probably even less than that. And even the increase in the number of transistors, generation to generation, is not what is used to be. It used to be doubling every couple of years, now it's maybe 40%-50% improvement every two to three years. So with that trend and the difficulty of improving the performance of general purpose CPUs, the world has to come up with some other way to provide improved performance, power performance, and so on. And so those are the fundamental kinds of problems that I am interested in. Prior to Juniper, my interest in computing goes back a long ways. I've been interested in computing and networking for a very long time. So one of the things that I concluded back in 2012, 2013, is that because of the scarcity of Silicon performance, one of the things that's going to happen is people are going to start to specialize computing engines to solve particular problem. So, what the world always wants is, they want agility, which is the ability to solve problems quickly, but they also want the ability to go fast. In other words, do lots of work per unit time, right? Well, those things are typically in conflict. So, to give you an example, if I built a specialized hardware engine to solve one and only one problem, like solving cryptocurrency problems, I can build it to be very fast. But then tomorrow if I want to turn around and use that same engine and do something different, I cannot do it. So it's not agile, but it's very fast. >> It's like a tailor-made suit. >> It's like a tailor-made suit. >> You're only wearing one-- >> It does one thing. >> You put on a little weight, you got to (chuckles), you get a new one. >> Exactly. So this trade off between agility and performance is fundamental. And so, general purpose processors can do any computation you can imagine, but if I give you a particular problem, I can design something much better. So now as long as Silicon was improving the performance every couple of years, there's no incentive to come up with new architectures. General purpose CPUs are perfect. Well, what you are seeing recently is the specialization of the engines of computing. First was GPUs. GPUs were invented for graphics. Graphics, the main computation of graphics is lots and lots of floating point numbers where the same arithmetic applies to an array of numbers. Well, people then figured that I can also do problems in AI, particularly learning and inferencing, using that same machinery. This is why Nvidia is in a very good place today. Because they have not only an engine, called a GPU, which does these computations very well, but also language that makes it easy to program, called CUDA. Now, it turns out that in addition to these two major types of computing engines, one which is general purpose compute, which is invented a long time ago, and the other one which is called a signal instruction multiple data type of SIMD engine. This was invented maybe 30 years ago in mainframes. Those are the two major types of engines and it turns out that there's a third type of engine that will become extraordinarily useful in the coming world. And this engine we call the DPU, for data processing unit. And this is the engine that specializes in workloads that we call data-heavy. Data intensive. And, in fact, in a world which is going from being compute-centric to data-centric, this kind of engine is fundamental. >> I mean, the use cases are pretty broad, but specific. AI uses a lot of data, IoT need data at the edge. Like what the GPU did for graphics, you're thinking for data? >> That is correct. So the DPU, let's talk about what the DPU can and cannot do. And maybe I can define what makes a workload data-centric. There's actually four characteristics that make a workload data-centric. One is that the work always comes in the form of packets. Everybody's familiar with packets. Internet is built using packets. So that one is no surprise. Second one has a given server. Typically serves many, many hundreds, maybe thousands, of computations concurrently. So there's a lot of multiplexing of work going on. So that the second characteristic. The third characteristic is that the computations are stateful. In other words, you don't just read memory, you read and write memory, and the computations are dependent. So you can't handle these packets independently of one another. >> I think that's interesting because stateful application are the ones that need the most horsepower and have the most inadequacy right now. APIs, we love the APIs, restless APIs, no problem. Stateless. >> Stateless. Stateful, by the way, is hard. It's hard to make stateful computations reliable. So the world has made a lot of progress. Well, the fourth characteristic, which is maybe even a defining one, but the other ones are very important also, is that if you look at ratio of input/output to arithmetic, it's high for data-centric calculations. Now, to give you-- >> Which high, I is higher, O is higher, both? >> I/O, input/output. >> I/O, input and output? But not just output? >> Not just input, not just output. Input/output is high compared to the number of instructions you execute for doing arithmetic. Now, traditionally it was very little I/O, lots of computation. Now we live in world which is very, very richly connected, thanks to the internet. And if you look inside data centers, you see the same, it's a sort of Russian dolls kind of thing. And the same structure inside which is you have hundreds of thousands to maybe millions of servers that are connected to each other, that are talking to each other. The data centers are talking to each other. So the value of networks as we know is maximized at large scale. The same thing is happening inside data centers also. So the fact that things are connected east-west and is any-to-any way, it is what leads to the the computations becoming more data-centric. >> Pradeep, I love this conversation because I've been banging my head on all my CUBE interviews for the past eight years saying that cloud is horizontally scalable. The data world has been not horizontally scalable. We've had data warehouses. Put it into a database, park it over there. Yeah, we got Hadoop, I got a data lake, and then what happens? Now you got GDPR and all these other things out there. You got a regulatory framework that people don't even know where their data is. But when you think about data in the way you're talking about it, you're talking about making data addressable. Making it horizontally scalable. And then applying DPU to solve the problem, rather then try to solve it here in the path of, or the bus if you will, I don't know what to call it, but-- >> The thing to call it is, it's the backplane off a data center. So the same way that a server, a mainframe, has a backplane where all the communications go through. Well, inside a data center, you have this notion of a network which is called a fabric of the data center. It's the backplane off the data center. >> So this is a game changer, no doubt. I can see it, I'd love to get, I can't wait to see the product announcements. But what is the impact to the industry, because now you're talking about smaller, faster, cheaper, Which has been kind of the Moore's law. Okay, the performance hasn't been there but we've had general purpose agility. Now you have specialism around the processor. You now have more flexibility in the architecture. How does that blend in with cloud architectures? How does that blend into the intelligent edge? How that fit into the overall general architecture? >> Great question. Well, the way it blends into cloud architecture is that there's one and one thing that distinguishes cloud architectures from previous architectures, and that's the notion of scale-out. So let me just maybe define scale-out for the audience. Scale-out essentially means having a small number of component types like storage servers and compute servers, identical. Put in lots of them because I can't make individual one faster, so the next best thing is to put lots of them together. Connect them by very fast network that we call a fabric, and then have the collection of these things provide you more computing and faster computing. That's scale-out. Now scale-out is magical for lots of reasons. One is that you deliver much more reliable services because individual things failing don't have an effect anymore, right? The other thing is that the cost is as good as it can get because you're doing, instead of building very, very specialized things, a few of them, you're building many, many, many things, which they are more or less identical. So those two things, the economics is good, the agility is great, and also the reliability is great. So those three things is what drive cloud architecture. Now the thing that we talked about, which is specialization of the engines inside cloud. So we had, up until now, the cloud architecture was, is homogenous scale-out servers, all x86 based. What we're entering is a phase that I would call heterogeneous specialized scale-out engines. So you are seeing this already, x86, GPUs, TPUs, which are tensor flow processors, FPGAs. And then you're going to have DPUs coming, and in this ecosystem, DPUs are going to play two roles. One which is to offload from x86 and GPUs those computations that they don't do very well, the data-centric computations. But the second one is to implement a fabric that allows these things to be connected very well. Now you had asked about the edge. Specialization of computing engines is not going to be sufficient. We have to do scale-out more broadly in a grander sense. So in addition to these massively scalable data centers, we're going to have tens of thousands of smaller data centers closer to where the data is born. We talked about IoT. There's no reason to drag data thousands of miles away if you don't have to. >> Latency kills. >> Latency kills for some applications, it's in fact deadly. So putting those data centers where both computing and storage is near the source of data is actually very good. It's also good from the standpoint of security. At least it makes people feel good that, hey, the data is located maybe 10, 20 kilometers away from me, not 10,000 kilometers away where maybe it's a different government, maybe I won't have access to my data or whatever. So we're going to see this notion of scale-out play in a very general way. Not just inside data centers, but also in the sense that the number of data centers is going to increase dramatically. And so now you're left with a networking problem that connects all these data centers together. (John chuckles) So some people think-- >> And you know networking? >> I know a little bit about networking. So some people say that, hey, networking is all played out, and so on. My take is that there is pressure on networking and network equipment vendors to delivery better and better cost per bit per second. However, networking is not going out of style. Let's be very clear about that. It is the life blood of the industry today. If I take away the internet, or DCIP for example, everything falls apart, everything that you know. >> Well, this often finds-- >> So, the audience should know that. >> Yeah, well, we didn't really bang on the drum. We seen a real resurgence in networking, in fact, I covered some of Cisco's events and also Juniper's as well, and you just go back a few years, all these network engineers, they used to be the kings of the castle. They ran the show. Now they're kind of like, cloud-natives taking it over, and you mentioned serverless. I mean, heterogeneous environment, it's essentially serverless, Lambda and other cool things are happening, but what we're seeing now is, and again, this ties back to your apps conversation 10 years ago, and your mention about the DPU and edge, is that the paradigm at the state level is a network construct. You have a concept of provisioning services, you have concepts of connectionless, you have concepts of state, stateless, and that right now is a big problem with things like Kubernetes, although Kubernetes is amazing, enabling a lot of workloads to be containerized, but now don't talk to each other. Sounds like a network problem. >> Well, it is-- >> These are network problems. Your thoughts. >> When you look, so networking is really fundamental, at one level, so as I've said, there are three horsemen of infrastructure. There is compute which is essentially transforming information in some way. By doing some form of arithmetic. I don't mean one plus one gets two. I mean generalized manipulation of data. You have some input, you do some computation, you get some output. That's one entity. Another entity is storage, which is general purpose storage. I put something in there, I want to come back later and retrieve it. And it needs to be resilient, ie. resistant to failures. The third piece of the puzzle is networking, and the kind of networking that is the most useful is any-to-any networking, which is what TCIP gives you. So, essentially these three things are three sides of the same coin, and they work together. It's not as if one is more important than the other. The industry may have placed different values, but if you look down at the fundamentals, these three things go hand in hand. >> What's interesting to me and my observations, we have an internal slide that we used in our company, it's a content, our content pillars, if you will, and they're concentric circles. Data center, cloud, AI, data, and BotChain crypto. Data being like big data now, AI. Right in the middle is IoT, security and data. You're inventing a new category of data. Not classic data. Data warehousing-- >> This is agile data. At the end of the day, what we want to build is engines and platform for data processing, taken to it's limit. So, to give you an example, with the engines that we have, we should be able to store data with arbitrary levels of reliability. I really mean that. >> Stateful data. >> Stateful data, that is, I put data in one place, I can keep it securely, in other words, it's cryptographically, it's encrypted. It is resilient, and it's distributed over distance so that I could come back a hundred years later and find it still there, and nobody can hack it. So these are the things that are absolutely necessary in this new world, and the DPUs going to be a key enabler of providing-- >> So just to tie it all together is the DPU, the data processing unit, that you're inventing. Is the glue layer in the heterogeneous world of cloud architecture? Because if you're offloading and you have a fabric-- >> That's one role. That's one role. The glue layer that enabling a fabric to rebuild is one of the roles of the DPU. The second role, which is really, really important, is to perform data-centric calculations that CPUs and GPUs do not do very well. So, on data-centric calculations, the four things that I told you about, we're about 30 times better price performance and power performance compared to either GPU or TPU, on those calculations. And to the extent of those calculations are really important, and I think they are, the DPU will be a necessary component. >> Pradeep, I've been getting a lot of heat on Twitter, well, I'm on social media, I know you're not, but I've been saying GDPR has been a train wreck. I love the idea, we want to protect our privacy, but anyone who knows anything about storage and networking knows that storage guys don't know where their databases are. But the use cases that they're trying to solve are multi-database. So, for instance, if you do a retail transaction, you're in a database. If you're doing an IoT transaction in your self-driving car that need data from what you just bought, the idea of getting that data is almost impossible. They would have to know that you want the data. Now that's just two databases, imagine bringing-- >> Hundreds. >> Hundreds of databases. Everything, signaling in. It's a signaling process problem. Part of the problem. >> Part of the problem is that data is kept in many, many, many different formats. I don't think one can try to come up with a universal format for data, it won't work. So generally what you need to do is be able to ingest data in multiple formats. And do it in real time, store it reliably, and then process it very quickly. So this is really the analytics problem. >> Well, congratulations, the future of Silicon Valley is coming back as a chip, a chip that you're making? >> We are making a chip. What's very important for me to say is that this chip is, or it's a series of chips, these are programmable. They're fully programmable. But they're extraordinarily powerful. >> Software-defiant chip sets coming online. Pradeep, thanks for spending the time. >> You're welcome. >> I'm John Furrier, here at Sand Hill Road for the People First Network, theCUBE Presents. I'm John Furrier, thanks for watching. (futuristic electronic music)

live from San Francisco it's the cube covering micron insight 2018 brought to you by micron welcome back to the San Francisco Bay everybody we saw the Sun rise in the bay this morning of an hour so we're gonna see the Sun set this gorgeous setting here at Pier 27 Nob Hills up there the Golden Gate Bridge over there and of course we have this gorgeous view of the bay you're watching the cube the leader in live tech coverage we're covering micron insight 2018 ai accelerating intelligence a lot of talk on on on memory and storage but a lot more talk around the future of AI so we got a great discussion here on the auto business and how AI is powering that business Jeff Bader is here is the corporate vice president and general manager of the embedded business unit at micron good to see you again Jeff thanks for coming on and Simon and rigor is the vice president BMW and he's also joined by Vijay Nadkarni who was the global head of AI and augmented reality at Visteon which is a supplier to Automobile Manufacturers gentlemen welcome to the cube thanks so much for coming on thank you so you guys had a panel earlier today which was pretty extensive and just a lot of talk about AI how AI will be a platform for interacting with the vehicle the consumer the driver interacting with the vehicle also talked a lot about autonomous vehicles but Simon watch you kick it off your role at BMW let's let's just start there it will do the same for Vijay and then get into it research portion that we do globally in which is represented here in North America and so obviously we're working on autonomous vehicles as well as integrating assistance into the car and basically what we're trying to do is to get use AI as much as possible in all of the behavioral parts of the vehicle that uses have an expectations towards being more personalized and having a personalized experience whereas we have a solid portion of the vehicle is going to be as a deterministic anesthetic as we have it before like all of the safety aspects for example and that is what we're working on here right now Vijay Visteon is a supplier to BMW and other auto manufacturers yes we are a tier 1 supplier so we basically don't make cars but we supply auto manufacturers of which BMW is one and my role is essentially AI technology adversity on and also augmented reality so in AI there are basically two segments that we cater to and one of them is that almost driving which is fully our biggest segment and the second one is infotainment and in that the whole idea is to give the driver a better experience in the car by way of recommendations or productivity improvements and such so that is so my team basically develops the technology and then we centrally integrate that into our products so so not necessarily self-driving it's really more about the experience inside the vehicle that is the and then on the autonomous driving side we of course very much are involved with the autonomous driving technology which is tested with detecting objects are also making the proper maneuvers for the Waker and we're definitely going to talk about that now Jeff you sell to the embedded industry of fooding automobile manufacturers we hear that cars have I forget the number of microprocessors but there's also a lot of memory and storage associate yeah I mean if you follow the chain you have our simon representing the OEMs Vijay represented the Tier one suppliers were supplier to those Tier one suppliers in essence right so so we're providing memory and storage that then goes in to the car in as you said across all of the different sort of control and engine drone and computing units within the car in particular into that infotainment application and increasingly into the a TAS or advanced driver assistance systems that are leading toward autonomous driving so there's a lot of AI or some AI anyway in vehicles today right presumably yeah affected David who did a wonderful job on the panel he was outstanding but he kind of got caught up in having multiple systems like a like an apple carplay your own system I actually have a bit about kind of a BMW have a mini because I'm afraid it's gonna be self-driving cars and I just want to drive a drive on car for this take it away from me though but but you push a button if you want to talk to a Syrian yeah push another button if you want to talk to the mini I mean it's it's gonna use it for different use cases right exactly may I is also about adaption and is also about integrating so AI is is is coming with you with the devices that you have with you anyway right so your might be an Alexa user rather than a Google assistant user and you would have that expectation to be able to ask to chat with your Alexa in your car as well that's why we have them in the vehicle also we have an own voice assistant that we recently launched in Paris Motorshow which augments the experience that you have with your own assistants because it factors in all of the things you can do with the car so you can say there is a solid portion of AI already in the vehicle it's mainly visible in the infotainment section right and of course I remember the first time I'm sure you guys experienced to that the the car braked on my behalf and then kind of freaked me out but then I kind of liked it too and that's another form of machine intelligence well that out well that counts for you that had not that has not necessarily been done by AI because in in in let's say self-driving there is a portion of pretty deterministic rule based behavior and exactly that one like hitting an object at parking you don't need AI to determine to hit the right there is no portion or of AI necessary in order to improve that behavior whereas predicting the best driving strategy for your 20-mile ride on the highway this is where AI is really beneficial in fact I was at a conference last week in Orlando it's the Splunk show and it was a speaker from BMW talking about what you're doing in that regard yeah it's all about the data right learning about it and and in turning data into insights into better behavior yes into better expected behavior from whatever the customer wants so Vijay you were saying before that you actually provide technology for autonomous vehicles all right I got a question for you could it autonomous - could today's state of autonomous vehicles pass a driver's test no no would you let it take one no it depends I mean there are certain companies like way mo for example that do a lot but I still don't think way mo can take a proper driver's test as of today but it is of course trying to get there but what we are essentially doing is taking baby steps first and I think you may be aware of the SAE levels so level 1 level 2 level 3 level 4 SF and a 5 so we and most of the companies in the industry right now are really focusing more on the level 2 through level 4 and a few companies like Google or WAV or other and uber and such are focusing on the level 5 we actually believe that the level 2 through 4 is the market would be ready for that essentially in the shorter term whereas the level 5 will take a little while to get that so everybody Christmas and everyone we're gonna have autonomous because I'm not gonna ask you that question because there's such a spectrum of self-driving but I want to ask you the question differently and I ask each of you when do you think that driving your own car will become the exception rather than than the rule well I'd rather prefer actually to rephrase the question maybe to where not when because we're on a highway setting this question can be answered precisely in roughly two to three years the the functionality will kick in and then it's going to be the renewal of the vehicles so if you answer if you if you ask where then there is an answer within the next five years definitely if we talk about an urban downtown scenario the question when is hard to answer yeah well so my question is more of a social question it is a technology question because I'm not giving up my stick shift high example getting my 17 year old to get his permit was like kicking a bird out of the nest I did drive his permanent driver on staff basically with me right so why but I mean when I was a kid that was freedom 16 years old you racing out and there is a large generational group growing up right now that doesn't necessarily see it as a necessity right so not driving your own car I think car share services right share who bore the so and so forth are absolutely going to solve a large portion of the technology of the transportation challenge for a large portion of the population I think but I agree with the the earlier answers of it's gonna be where you're not driving as opposed to necessarily win and I think we heard today of course the you know talking about I think the number is 40,000 fatalities on the roadways in the u.s. in the u.s. yeah everybody talks about how autonomous vehicles are going to help attack that problem um but it strikes me talk about autonomous cars it why don't we have autonomous carts like in a hospital or even autonomous robots that aren't relying on lines or stripes or beacons you one would think that that would come before in our autonomous vehicle am I missing something are there are there there there systems out there that that I just haven't seen well I don't know if you've ever seen videos of Amazon distribution centers yeah but they're there they're going to school on lines and beacons and they are they're not really autonomous yeah that's fair that's fair yeah so will we see autonomous carts before we see autonomous cars I think it's a question what problem that solves necessarily yeah it's just as easy for them to know where something is yeah you think about microns fabs every one of our fabs is is completely automated as a material handling system that runs up and down around the ceilings handling all the wafers and all the cartridges the wafers moving it from one tool to the next tool to the next tool there's not people anymore carrying that around or even robots on the floor right but it's a guided track system that only can go to certain you know certain places well the last speaker today ii was talking about it I remember when robots couldn't climb stairs and now they can do backflips and you know you think about the list of things that humans can do that computers can't do it let's get smaller and smaller every year so it's kind of scary to think about one hand is that does the does the concept of Byzantine fault-tolerance you guys familiar with that does that does that come into play here you guys know what that's about I don't know what it is exactly so that's a problem and I first read about it with it's the Byzantine general problem if you have nine generals for one Oh attack for one retreat and the ninth sends a message to half to retreat or not and then you don't have the full force of the attack so the concept is if you're in a self-driving boat within the vehicle and within the ecosystem around the city then you're collectively solving the problem so there these are challenging math that need to be worked out and and I'm not saying I'm a skeptic but I just wanted more I read about it the more hurdles we have there's some isolated examples of where AI I think fits really well and is gonna solve problems today but this singularity of vehicle seems to be we have a highly regulated environment obviously public transportation or public roads right are a highly regulated environment so it's like it's different than curating playlists or whatever right this is not so much regulated traffic and legislation isn't there yet so especially and it's it's designed for humans right traffic cars roads are designed for human to use them and so the adoption to they the design of any legislation any public infrastructure would be completely different if we didn't drive as humans but we have it we have machines drive them so why are robots and carts not coming because the infrastructure really is designed for humans and so I think that's what's going to be the ultimate slow down is how fast we as a society that comes up with legislation with acceptance of behavioral aspects that are driven by AI on how fast we adopt it technically I think it can happen faster than yeah yeah it's not a technology problem as much as it is the public policy insurance companies think about one of the eventually you can think of from from let's say even level four capable car on a highway is platooning yeah right instead of having X number of car lengths to the turn fryer you just stack them up and they're all going on in a row that sounds great until Joe Blow with their 20 year old Honda you know starts to pull into that Lane right so you either say this Lane is not allowed for that or you create special infrastructure essentially that isn't designed for humans there is more designed specifically for the for the machine driven car right how big is this market it's it feels like it's enormous I don't know how do you look at the tan we can talk to the memory I can talk the memory storage part of it right but today memory and storage all of memory storage for automotive is about a two and a half billion dollar market that is gonna triple in the next three years and probably beyond that my visibility is not so good maybe yours is better for sure but it then really driven by adoption rate and how fast that starts to penetrate through the car of OAM lines and across the different car in vijay your firm is when were you formed how long you've been around or vistas be around basically since around 2001 okay we were part of relatively old spun out whiskey on that at work right okay so so alright so that's been around forever yeah for this Greenfield for you for your your group right where's the aw this is transitional right so is it is it is it you try not to get disrupted or you trying to be the disrupter or is it just all sort of incremental as a 101 year old company obviously people think about you as being ripe for disruption and I think we do quite well in terms of renewing ourselves coming from aeroplane business to a motorcycle business to garbage and so I think the answer is are we fast enough I'll be fast enough in adoption and on the other hand it's fair to say that BMW with all of its brands is part of a premium thing and so it's not into the mass transportation so everything that's going to be eaten up by something like multi occupancy vehicle mass transportation in a smaller effort right this is probably not going to hurt the premium brand so much as a typical econo type of boxy car exciting time so thanks so much for coming on the cube you got a run appreciate thank you so much okay thanks for watching everybody we are out from San Francisco you've watched the cube micron inside 2018 check out Silicon angle comm for all the published research the cube dotnet as 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