(techno music) >> Live, from Las Vegas, It's theCube. Covering the VMworld 2018. Brought to you by VMware and its ecosystem partners. >> Welcome back to theCube, we are live at the VMworld 2018. Day three of coverage, I'm Lisa Martin with John Troyer. John, we've had a phenomenal three days. >> It's been great. >> Biggest, I think two sets, biggest number of guests. A lot of alumni but also some new folks and I'd like to introduce you to a couple of our guests. We have David Boone, staff solutions architect from VMworld. David >> Hi >> You're not only with VMworld, but you have a very cool Twitter handle, @DavidBoone007, pretty awesome and Vijay Banga, technical >> Yes >> Fellow from FedEx services >> we're happy to be here. >> We'll have to well welcome back. you've been on The Cube before >> Yes, I have been on theCube before, yes. >> So, third day both of you still have your voices >> Oh yeah >> that's very impressive. Lot's of announcements lots of momentum lots of people here we're hearing 21,000 or so. >> Stuff >> Vijay tell us before we get into what your doing with VMworld, tell us a little bit about your roll as a technical fellow at FedEx. >> Okay Okay, so, I work in technical architecture and our role for the team is to evaluate new products. We look at all the stack in the data center all the tools that we need to do. We bring them in evaluate them see if they meets our needs. Then put them through our operations and then most important, lifecycle it out. And, so that's really what my role has been. >> See, You've worked with VMware, sorry, with FedEx for a long time now. >> Yes, yeah. >> So, I think John and I we're, you know, talking before we want to talk about your IT transformation, but you've probably seen, a tremendous amount of evolution not just within FedEx but within >> Yes >> you know, coming to events like this >> Yes >> talk to us a little bit about and maybe some of your peers would want to learn, how do you... how do you take it all in? >> Yes, so it's been an impressive pace all this while and then I look back at that and then I look at just this week, the amount of transformation that's going on the announcements that's happening and the pace at which we have to work and react to. It's just a solid mind boggling pace, so... You know, we have pace our energy just to keep up with it. So, very impressive. >> Well David, can you talk a little bit about your role then at VMware and how you work with companies like FedEx and maybe what some of the current challenges, and you know, successes that your having right now. Talking a lot about conversion infrastructure here we're talking a lot about, you know multi-cloud, you know what's going on with with >> Yes >> Your role and how you help Folks like FedEx. >> So I work in our solutions and availability business unit at FedEx, uhhh, at (laugh) VMware and >> Seems like FedEx (laughing) with that works so. >> It's a tight team. >> Please double.... (laughing with chatter) >> tight bunch >> So, I do help our large enterprise customers and our strategic customers with going through the POC process. Particularly with VSAN, and I've worked with Vijay through the entire process of evaluating VSAN at FedEx and working through any issues that we encountered and making sure that it's going to meet their demands when we go into production. >> So, Vijay how's VSAN treating you? >> Wow, you know, this has been a second iteration of software defined storage. So, David has been an immense help at taking us through this and the team behind him that is what we don't see. So I and my team work very hard at this and you know I was telling you about the pace that we saw. If you just look at one topic, VSAN itself, you know we are laying the foundation for all the products on top convergence infrastructure, hyper-converge and even with VSAN, we are covering lots of our used cases and there several more that we need to cover. So it's really pretty intense. >> So let's talk about how you're working with David and VMWare to meet your demands >> Yeah >> you were talking about it but also the customer demands. I think we're all customers of FedEx. >> Yes, right. >> And we have this expectation now in 2018 that we can go to any location and get something shipped overnight allover the world. >> Yes >> So you've got a lot of demand coming from business users consumers, how, what are some of the key demands on the business that your team is responsible for going alright, lets figure out a way with partners like VMware to solve these problems. >> Yes, so that's a very interesting question because, the demand it doesn't stop, you know, you cover one huge case there are several more that come up and so we are trying to address all the needs so when we did the whole test, we made a great plan work with David and his team to make sure that we covered, you know, all the huge cases and we did the whole test plan and we did an evaluation in-house of how they performed, what the requirements are and so you know the key is to make sure that we meet the business requirements. Speed to market is what we try and get to them so we try to do that upfront make sure that we cover the huge cases so when we bring the product out. We've covered at least 80 percent of the huge cases. Then get to 90 then 100. It's impossible but that's our goal. >> So Vijay, David, VSAN good for a lot of things actually >> Yeah >> huge cases keep multiplying, I'm just kind of curious, you know, what were some of the drivers there and was it all CapEx, OpEx, you know what are you finding out now that, are you in production and you know, what've been some of the results you've seen? Both ways. >> You want? >> So yeah, go for it. >> Yeah, so I can tell you from our perspective. What we've seen, is that you know. We looked at. So today we want to try and get off our fabric that we have with our storage we want to try and use an environment with the conversion infrastructure, white space issues, so we convert 80 percent of requirements upfront with the use issues that we have. It's the last 20 percent that are more difficult, I'm not sure where the industry is but that's what we're here to learn this week, find out, talk to the customers, see how they're doing their use cases and experiences and try and cover the width of that. >> We definitely try to tie-in with all aspects of FedEx run in their IT departments so, Vijay is one aspect from an architectural point of view but then we also make sure that we expand that out into operationalizing on VSAN and making sure that the whole process is covered and that we're making sure that FedEx is successful with our product not just you know, worse thing we could do is try to sell them something that they'd have to put on the shelf. >> In terms of partnerships, sorry John, I'm curious, David how Vmware and Vijay, FedEx, are collaborating because you were saying earlier, you've covered about 80 percent of the use cases but we know in any element of life you can't please all the people all the time. >> Right, right >> So, David are you helping from a consulting perspective Vijay and team decide, okay, what's the priority order of use cases that we can solve now, is that, talk to us about how that partnership evolves. >> Absolutely so, I think over time Vijay and I've established a relationship, a trust and that's really the most valuable thing that we have between us is that we are collaborative, you know, we can talk under nondisclosure about warts and problems and issues and where things may not fit with the FedEx process, what we can do to overcome those or work around those and feed that back into product management and make sure that we're continuing to evolve our product to meet our enterprise customers needs. >> So FedEx is enabling or influencing product development in a good way for VMware, sounds. >> Yeah, we're definitely have a strong draw from our users as to what is needed to be built into the product for the next generations so, yeah people like Vijay are key to us to ensuring our continued success. >> And David made a good point because it's not just the use cases that we can support with VSAN, it's equally important to know what not to venture in now and then venture in as it gets a little more mature and we understand it, so that's really key for us. Yeah. >> Vijay, I'm kind of curious so we talked, this, you've been there at FedEx long time, seen cultural change, how we do projects, how time to value, all that sort of stuff >> Yes >> We're here at VMworld 2018, here in Vegas lots of really I thought this is a really interesting year in terms of product announcements from VMware and others. >> Yes >> A lot of multi-cloud a lot, again, accelerated time to value as a service sorts of things, people who you thought were software providers are actually service providers and vice versa, kind of really, kind of cool stuff What's exciting you as you're looking forward to kind of go to the next level, you know taking FedEx and their infrastructure along? >> It's so, what I see happening is you know, at adoption to trying to get to the cloud as well, I think, you know the speed to market is so important, we don't want to be in the way, we want to be able to enable and or assist to be able to provide the service, the business partner and their requirements drives it, so that's what we see and I think the embracing of that, I think the adoption of it I think we see a good win from our side. >> I'm also curious, speaking of embracing and adopting one of the things Pat Gelsinger talked about in his keynote Monday was this superpowers of AI machine learning IOT... How? Vijay, is FedEx, where are you, I guess on that maybe embracing adoptions journey with embracing and being able to leverage artificial intelligence machine learning to be able to get to market faster. >> I can talk with the IOT first then get to AI because what we've seen in terms of IOT, it's been driven not from the data centers but from our edge, the demand is coming out and that's what we see, coming from the outside and typically we done from the inside out, data centers to the field but we see the drive happening a lot more intense on the field and the data collection and the IOT devices that is driving that in, so that was interesting to us to see. >> About AI, you were also talking about AI? >> Oh yes, and so, you know, FedEx is so huge I think there's lot of development happening on multiple areas on the AI. So, you know, it's just impressive and amazing. What we're doing with it, so. >> Great >> Go ahead >> Well I, so David, if you're working with a customer... You know VSAN stands up, you're working with VSAN the rest of VMware portfolio, you know, what do you, then how do you go, the next steps, like what do you, what does Vijay and his team need to start looking at, right? As the VMware portfolio expands, like how do you help them, Vijay and the executive level, like really thing about this? >> I don't think that it's a matter of what the portfolio brings to the table, it's really more about what is FedEx need from us, what can we do to help them, what gaps can we fill, you know, how do we partner together to make sure that we continue this successful track. >> Nice, nice. >> What we see is, what's important on the road map, cause we said about the 20 percent use cases, state of protection other things that are important to us, which are still being developed, we are okay to partner and work with them test the products with them so, it helps us help them, you know enable us to use the rest of the 20 percent cases. >> Very symbiotic, so I'm curious. FedEx is a massive global customer, >> Yes >> company and customer. >> Yes and customer. I'm curious Vijay what recommendations would you give to your peers, whether they're at a company that's comparable in size >> Right. to FedEx or maybe to some of the smaller companies that VMware works with. What are some of the, you know helping them distill this massive challenge down into some digestible bites. What would you recommend? >> Yeah so are two things that come to mind one is to make sure that you listen to your business partners you know. It's about the business make sure you're meeting their needs and the second thing is you know we build on the foundation that we've laid, I think this is what hit me this morning. It's like, we are all the VMware stack that is there. You know, there are several of the products we could certainly go down those paths and rabbit holes but you know. If we build on the foundations that we have. I think we see a lot of synergy, the operations you know makes it all simple one to do things so, that I think is something that we learn cause we did go down you know some rabbit holes and we are trying to reestablish back and see, build on the foundation that we have. >> And that's just part of it, right? Going down those rabbit holes. >> Yeah it is. >> Try, fail fast, move on. >> Yes, Yeah fail fast. >> Yeah and failure is not a bad F word >> No, I mean in this, if we have failed 6 months. Yeah that's great, but you know, you come out and your product that will lasts you and you know continues on that's awesome, that's our approach. >> Well guys, thanks so much for stopping by and sharing what FedEx and VMware are doing together and your excitement and your ability to advise others. It's great. So, Thank you so much. >> Thank you appreciate it. >> Thank you. >> Thanks. >> For my cohost John Troyer, I'm Lisa Martin. You're watching theCube live from Vmworld 2018. Stick around we'll be back with our next guest shortly. (techno music)

>>Welcome back everyone to the cubes coverage here in Seattle, Washington for AWS's marketplace seller conference. The big news here is that the Amazon partner network and marketplace coming together and reorganizing into one organization, the AIST partner organization, APO bringing together the best of the partnership and the marketplace to sell through. It's a sellers company. This is the second year, but technically with COVID, I call it a year and a half. This is the cube. I'm John for your host. Got a great guest, Leah for sale vice president of business development at four square. Leah, thanks for coming on the cube. Look great. Yeah. >>Hey, thanks. Thanks for having me here. >>So four square, everyone, and that has internet history knows you. You check in you'd become the mayor of a place right back in the day, all fun. It was a great app and I think it was competitor go sold the Facebook, but that was the beginning of location data. Now you got Uber apps, you got all apps, location, everywhere. Data is big here in the marketplace. They sell data, they got a data exchange, Chris head of marketplaces. Like we have all these things we're gonna bring 'em together, make it simpler. So you're on the data side. I'm assuming you're selling data and you're participating at the data exchange. What is Foursquare doing right now? Yeah, >>Exactly. So we are part of the data exchange. And you mentioned checking in. So we, we are really proud of our roots, the, the four square app, and that's kind of the basis still of our business. We have a hundred million data points, which are actually places of interest across the world 200 countries. And we are we're in the business of understanding whereplace are and how people move through those places over time. And >>What's the value proposition for that data. You're selling the data. >>We are selling the data and we're selling it. You can think about use cases. Like how can I improve the engagement with my app through location data? So for example, next door, as a customer of ours, everyone knows next door. When a new business comes online, they wanna make sure that business is a real business. So they use our places to ensure that the address of that business is accurate. >>So how did you, how do you guys get your data? Because if you don't have the first party app, you probably had critical mass of data. Yeah. But then do other people use your data and then re contribute back in kinda like, well, Stripe is for financial. You guys are plugging in yeah. To >>Apps. A great question. So we still do have our consumer apps. We're still proud of those. It's still a basis of our company really. Okay. So, but we take that data. So our first party data, we also, for all the web, we have some partners integrate our SDK. And so we're pulling in all that data from various sources and then scrubbing it and making sure we have the most unique. >>So you guys still have a business where the app's working. Yep. Okay. But also let's just say, I wanna have a cube app. Yeah. And I want to do a check in button. Yep. So rather than build checking in, could I OEM you could four square is that you >>Could, and we could help you understand where people are checking in. So we know someone's here at the Hilton and Bellevue, we know exactly where that place is. You building the Cub app. You could say, I'm gonna check in here and we are verified. We know that that's the >>Right place. So that's a good for developer if they're building an app. >>Absolutely. So we have an SDK that any developer can integrate. >>Great. Okay. So what's the relationship with the marketplace? Take us through how Foursquare works with AWS marketplace. >>Sure. So we are primarily integrated with ADX, which is sort of a piece of marketplace it's for data specifically, we have both of our main products, which are places that POI database and visits, which is how people move through those places over time. So we're able to say these are the top chains in the country. Here's how people move throughout those. And both those products are listed on ADX. >>So if I'm in Palo Alto and I go to Joe in the juice yeah. You know that I kind of hang in one spot or is it privacy there? I mean, how do you know like what goes on? Well, >>We know somebody does that. We don't >>Know that you do that. So >>We ensure, you know, we're very privacy centric and privacy focused. We're not gonna, we don't tell anybody at you >>Yourself it's pattern data. It is. >>Okay. So it's normalized data, right? Over time groups of people, >>How they, how are people using the data to improve processes, user experience? What are some of the use cases? >>So that example, nextdoor, that's really a use case that we see a lot and that's improving their application. So that nextdoor app to ensure that the ACC, the data's accurate and that as you, as a user, you know, that that business is real. Cuz it's verified by four wear. Another one is you can use our data to make business decisions around where you're gonna place your next loca. You know, your next QSR. So young brands is a customer of ours. Those are, those guys are pizza hut KFC. They work with us to figure out where they should put their next KFC. Yeah. >>I mean retail location, location, location. Yeah. >>Right. Yeah. People are still, even though e-commerce right. People still go into stores >>And still are. Yeah. There's, there's, there's probably lot, a lot of math involved in knowing demographics patterns. Volume. >>Yeah. Some of our key customers are really data scientists. Like the think about cus with businesses that have true data science companies. They're really looking at that. >>Yeah. I mean in, and out's on the exit for a reason. Right. They want in and out. Yeah. So they wanna put it inland. >>Right. And we can actually tell you where that customer from in and out where they go next. Right. So then, you know, oh, they go to this park or they go somewhere and we can help you place your next in and out based on that visitation. >>Yeah. And so it's real science involved. So take us through the customers. You said data scientists, >>Mostly data scientists is kind of a key customer data science at a large corporation, like a QSR that's >>Somebody. Okay. So how is the procurement process on the marketplace? What does the buyer get? >>So what we see the real value is, is because they're already a customer of Amazon. That procurement is really easy, right? All the fulfillment goes through Amazon, through ADX. And what you're buying is either at API. So you can, that API can make real time calls or you're buying a flat file, like an actual database of those hundred points of interest. >>And then they integrate into their tool set. Right. They can do it. So it's pretty data friendly in terms of format. >>You can kind of do whatever you want with it. We're gonna give you that as long as you're smart enough to figure out what to do. Do we have a >>Lot of, so what's your experience with AWS marketplace? I mean, obviously we, we see a lot of changes. They had a reorg partner network merging with marketplace. You've been more on the data exchange, Chris kind of called that out. It's yeah. It's kind of a new thing. And, and he was hinting at a lot of confusion, but simplifying things. Yeah. What's your take of the current AWS marketplace >>Religions? I actually think ADX because our experience has primarily been ADX. I think they've done a really good job. They've really focused on the data and they understand how CU, how, you know, people like us sell our data. It hasn't been super confusing. We've had a lot of support. I think that's what Amazon gives you. You have to put a lot of effort into it, but they're also, they also give you a lot of support. >>Yeah. And, and I think data exchange is pretty significant to the strategic. It is >>Mission. It is. We feel that. Yeah. You know, we feel like they really value us as a partner. >>What's the big thing you're seeing out there right now in data, because like you're seeing a lot more data exchanges going on. There's always been data exchange, but you're seeing a lot more exchanges between companies. So let's just take partners. You're seeing a lot more people handle front end of a, a supply chain and you got more data exchanges. What's the future of data exchanges. If you had to kind of, you know, guess given your history in, in the industry. Yeah. What's the next around the corner trend? >>I think. Well, I think there's a, has to be consolidation. I know everyone's building one, but there's probably too many. I know from our experience, we can't support all of them. We're not a huge company. We can't support Amazon and X and Y and Z. Like it's just too many. So we kind of put all of our eggs in a couple baskets. So I think there'll be consolidation. I think there has to be just some innovation on what data products are, you know, for us, we have these two, it's an API and a flat file. I think as exchanges think about, you know, expanding what are the other types of data products that can help us build? >>Yeah. I mean, one of the things that's, you know, we see, we cover a lot of on the cube is edge. You know, you got, yeah. Amazon putting out new products in regions, you got new wavelength out there, you got regions, you got city level connectivity, data coming from cars. So a lot more IOT data. How do you guys see that folding into your vision of data acquisition and data usage, leverage, reuse, durability. These >>Are, yeah. I mean, we're, we are keeping an eye on all of that. You know, I think we haven't quite figured out how we wanna allocate resources against it, but you know, it's definitely, it's a really interesting space to be in. Like, I don't think data's going anywhere and I think it's really just gonna grow and how people use it's >>Gonna expand. Okay. So if I'm a customer, I go to the marketplace, I wanna buy four square data. What's the pitch. >>We can help you improve your business decisions or your applications through location data. We know where places are and how people move through the world over time. So we can tell you we're, we're sure that this is the Hilton in Bellevue. We know that, that we know how many people are moving through here and that's really the pitch. >>And they use that for whatever their needs are, business improvement, user experience. Yeah. >>Those are really the primary. I mean, we also have some financial use cases. So hedge funds, maybe they're thinking about yeah. How they wanna invest their money. They're gonna look at visits over time to understand what people are doing. Right. The pandemic made that super important. >>Yeah. That's awesome. Well, this is great. Great success story. Congratulations. And thanks for sharing on the cube. Really appreciate you coming on. Thank you. My final question is more about kind of the future. I wanna get your thoughts because your season pro, when you have the confluence of physical and digital coming together. Yeah. You know, I was just talking with a friend about FedEx's earnings, comparing that to say, AWS has a fleet of delivery too. Right? Amazon, Amazon nots. So, but physical world only products location matters. But then what about the person when they're walking around the real world? What happens when they get to the metaverses or, you know, they get to digital, they tend an event. Yeah. How do you see that crossroad? Cuz you have foot in both camps. We do, you got the app and you got the physical world it's gonna come together. Is there thoughts around, you can take your course care hat off and put your industry hat on. Yeah. You wanna answer that? Not officially on behalf of Foursquare, but I'm just curious, this is a, this is the confluence of like the blending of physical and digital. >>Yeah. I know. Wow. I admittedly haven't thought a whole lot about that. I think it would be really weird if I could track myself over time and the metaverse I mean, I think, yeah, as you said, it's >>It's, by the way, I'm not Bo on the metaverse when it's blocked diagrams, when you have gaming platforms that are like the best visual experience possible, right? >>Yeah. I mean, I think it, I think we'll see, I don't, I don't know that I have a >>Prediction, well hybrid we've seeing a lot of hybrid events. Like this event is still intimate VIP, but next year I guarantee it's gonna be larger, much larger and it's gonna be physical and face to face, but, but digital right as well. Yeah. Not people experiencing the, both that first party, physical, digital hybrid. Yeah. And it's interesting something that we track a lot >>Of. Yeah, for sure. Yeah. I think we'll have a, well, I think we'll, there's something there for us. I think that those there's a play there as we watch kind >>Of things change. All right, Leah, thank you for coming on the Q appreciate so much it all right. With four Graham, John fur a year checking in with four square here on the cube here at the Amazon web services marketplace seller conference. Second year back from the pandemic in person, more coverage after this break.

>> From theCUBE studios in Palo Alto in Boston bringing you data driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> In just over 10 years, CrowdStrike has become a leading independent security firm with more than 2 billion in annual recurring revenue, nearly 60% ARR growth, and approximate $40 billion market capitalization, very high retention rates, low churn, and a path to 5 billion in revenue by mid decade. The company has joined Palo Alto Networks as a gold standard pure play cyber security firm. It has achieved this lofty status with an architecture that goes beyond a point product. With outstanding go to market and financial execution, some sharp acquisitions and an ever increasing total available market. Hello, and welcome to this week's Wikibon Cube Insights powered by ETR. In this "Breaking Analysis" and ahead of Falcon, Fal.Con, CrowdStrike's user conference, we take a deeper look into CrowdStrike, its performance, its platform, and survey data from our partner ETR. Now, the general consensus is that spending on Cyber is non-discretionary and is held up better than other technology sectors. While this is generally true, as this data shows, it's nuanced. Let's explore this a bit. First, this is a year-to-date chart of the stock performance of CrowdStrike relative to Palo Alto, the BUG ETF, which is a Cyber index, the NASDAQ and SentinelOne, a relatively new entrant to the IPO public markets. Now, as you can see the security sector as evidenced by the orange line, that Cyber ETF, is holding up better than the overall NASDAQ which is off 28% year-to-date. Palo Alto has held up incredibly well, the best, being off only around 4% year-to-date. Whereas CrowdStrike is off in the double digits this year. But up as we talked about in one of our last "Breaking Analysis" on Cyber, up from its lows this past May. Now, CrowdStrike had a very nice beat and raise on August 30th. But the stop didn't respond well initially. We asked "Breaking Analysis" contributor, Chip Simonton for his technical take and he stated that CrowdStrike has bounced around for the last three months in its current range. He said that Cyber stocks have held up better than the rest of the market, as we're showing. And now might be a good time to take a shot but he is cautious. FedEx had a warning today of a global recession and that's obvious case for a concern. You know, maybe some of these quality Cyber stocks like Palo Alto and CrowdStrike and Zscaler will outperform in a recession, but that play is not for the faint of heart. In fact, it's feeling like a longer, more drawn out tech lash than many had hoped. Perhaps as much as 12 to 18 months of bouncing around with sellers still in control, is generally the sentiment from Simonton. So in terms of Cyber spending being non-discretionary, we'd say it's less discretionary than other it sectors but the CISO still does not have an open wallet, as we've reported before. We've seen that spending momentum has decelerated in all sectors throughout the year. This is an across the board trend. Now, independent of the stock price, George Kurtz, CEO of CrowdStrike, he's running a marathon, not a sprint. And this company is running at a nice pace despite tough macro headwinds. The company is free cash flow positive and is in the black, or a non-GAAP operating profit basis and yet it's growing ARR at nearly 60%. Frank Slootman uses the term inherent profitability, meaning that the company could drive more profits if it wanted to dial down expenses especially in go to market costs. But that would be a mistake for a company like CrowdStrike, in our opinion. While it has an impressive nearly 20,000 customers, there are hundreds of thousands of customers that CrowdStrike could penetrate. So like Snowflake and Slootman, Kurtz is not taking its foot off the gas. Now, the fundamental strength of CrowdStrike and its secret sauce is its architecture and platform, in our view, so let's take a deeper look. CrowdStrike believes that the unstoppable breach is a myth. Now, CISOs don't agree with that because they assume they're going to get breached, but that's CrowdStrike's point of view, so lofty vision. CrowdStrike's mission is to consolidate the patchwork of solutions by introducing modules that go beyond point products. CrowdStrike has more than 20 modules, I think 22, that span a range of capabilities as shown in this table. Now, there are a few critical aspects of the CrowdStrike architecture that bear mentioning. First is the lightweight agent, that is fundamental. You know, we're used to thinking that agentless is good and agent is bad, but in this case, a powerful but small, slim and easy to install but unobtrusive agent has its advantages because it supports multiple CrowdStrike modules. The second point is CrowdStrike from the beginning has been dogmatic about getting all the telemetry data into the cloud. It sort of shunned doing bespoke on prem so that all the data could be analyzed. So the more agents that CrowdStrike installs around the world, the more data it has access to and the better its intelligence. Few companies have access to more data, perhaps Microsoft given it scale and size is an exception in that endpoint space. CrowdStrike has developed a purpose-built threat graph and analytics platform that allows it to quickly ingest in near real time key telemetry data and detect not only known malware, that's pretty straightforward, pretty much anybody could do that. But using machine intelligence, it can also detect unknown malware and other potentially malicious behavior using indicators of attack, IOC, or IOAs. Humio is shown here as a company that CrowdStrike bought for around 400 million in early 2020, early 2021. It's the company's Splunk killer and will serve as an observability platform. It's really starting to take off, that's a great market for them to go after. CrowdStrike, to try to put it into sort of a summary, uses a three pronged approach. First is it's next generation anti-virus, meaning it's SaaS base. SAS based solution that can do fast lookups to telemetry data and that data lives in the cloud. And this leverages cloud strikes proprietary threat graph. Now, the second is endpoint detection and response. CrowdStrike sends all endpoint activity to the cloud and can process the data in real time. CrowdStrike EDR allows you to search data history and its partners with threat intelligent platforms who push the data into CrowdStrike, the CrowdStrike cloud. This increases CloudStrike's observation space. It also has containment capabilities in EDR to fence off compromised system. Now, the third leg of the stool is CrowdStrike's world class manage hunting approach. Like many firms, CrowdStrike has a crack team of experts that is looking at the data, but CrowdStrike's advantage is the amount of data, that observation space that we just talked about, and near real time capabilities of the architecture thanks to that proprietary database that they've developed. And all this is built in the cloud and so it enables global scale. And of course, agility. Now, let's dig into some of the survey data and take a look at what ETR respondents are saying about the spending momentum for CrowdStrike in context with its peers. Here's a very recent dataset, the October preliminary data from the October dataset in ETR's survey. Eric Bradley shared with us, ETR's head of strategy, and he runs the round tables, he's a frequent "Breaking Analysis" contributor. This is an XY graph with Netcore or spending momentum on the vertical axis and the overlap or pervasiveness in the survey on the horizontal axis. That dotted red line at 40% indicates an elevated level of spending velocity. Anything above that, we consider really impressive. Note the CrowdStrike progression since the pandemic started. The two notable points are one, that CrowdStrike has remained consistently above that 40% mark and two, it has made notable progress to the right. You can see that sort of squiggly line consistently increasing its share with one little anomaly there in the early days of over a two-year period. The other call out here is Microsoft in the upper-right. We circled Microsoft as usual. Microsoft messes up the data because it's such a dominant player and has referenced earlier as a massive scale and very quality telemetry from its endpoints. Unlike AWS, Microsoft is a direct competitor of CrowdStrike's. Nonetheless, the sector remains very strong with lots of players. Cyber is a large and expanding TAM with too many point tools that CrowdStrike is well positioned to consolidate, in our view. Now, here's a more narrow view of that same XY graph. What it does is it takes out Microsoft to kind of normalize the data a bit and it compares a number of firms that specialize in endpoint, along with CrowdStrike such as Tanium which also has a lightweight agent, by the way, and appears to be doing pretty well. SentinelOne did a relatively recent IPO, took off, stock hasn't done as well since, as you saw earlier. Carbon Black which VMware bought for around $2 billion and Cylance which is the Blackberry pivot. Now, we've also for context included Palo Alto and Cisco because they are major players with the big presence in security and they've got solutions that compete with CrowdStrike. But you can see how CrowdStrike looms large with a higher net score than these others. Although Palo Alto is very impressive, as is Cisco, steady. But Palo Alto also, sorry, CrowdStrike also has a very steady posture instead of just looming on that X axis. Let's now take a look at XDR, extended detection and response. XDR is kind of this bit of a buzzword but CrowdStrike seems to be taking the mantle and trying to sort of own the category and define it, in our view. It's a natural evolution of endpoint detection and response, EDR. In a recent ETR Roundtable hosted by our colleague, Eric Bradley, the sentiment among several CIOs is that existing SIEM, security information and event management platforms are inadequate and some see XDR as a replacement for, or at least a strong compliment to SIEM. CISOs want a single view of their data. Hmm, you haven't heard that before. They want help prioritizing potentially high impact breaches and they want to automate the low level stuff because the problem is sometimes too much information becomes information overload and you can't prioritize. So they want to consolidate platforms. They want better co consistency. They have too many dashboards, too many stove pipes. They have difficulty scaling and they have inconsistent telemetry data. As one CISO said, it's a call out here. "If the regulatory requirement isn't there, I absolutely would get rid of my SIEM." So CrowdStrike, we feel, is in a good position to continue to gain, share and disrupt this space. And that's what Dave Nicholson and I will be looking for next week when theCUBE is at Fal.Con, CrowdStrike's user conference. We'll be there for two days at the area in Vegas. In addition to CrowdStrike CEO, we'll hear from government cyber experts. We always hear that at security conferences and the CEO of Mandiant. Google just the other day closed its $5 billion plus acquisition of Mandiant, which is a threat intelligence expert and MSSP. I'm going to hear a lot about MSSPs by the way. CrowdStrike is a growing MSSP base. We think that's a really interesting sector because many companies don't have a SOC. As many as 50% of companies in the United States don't have a security operations center. So they need help, that's where MSPs come in. At the conference, there'll be a real focus on the Falcon platform. And we expect CrowdStrike to educate the audience on its multiple modules and how to take advantage of the capabilities beyond endpoint. And we'll also be watching for the ecosystem conversations. We saw this at reinforced, for example, where CrowdStrike and Okta were presenting together to show how these companies products compliment each other in the marketplace. Sometimes it gets confusing when you hear that CrowdStrike has an identity product. Okta, of course, is the identity specialist. So we'll be helping extract that signal from the noise. Because a generational company must have a strong ecosystem. CrowdStrike is evolving and our belief is that it has some work to do to create a stronger partner flywheel, and we're eager to dig into that next week. So if you're at the event, please do stop by theCUBE, say hello to Dave Nicholson and myself. Okay, we're going to leave it there today. Many thanks to Chip Simonton and Eric Bradley for their input and contributions to today's episode. Thanks to Alex Myerson, who does production, he also manages our podcast, Ken Schiffman as well, in our Boston studios, Kristen Martin and Cheryl Knight help get the word out on social media and our newsletters, and Rob Hof is our editor in chief over at siliconangle.com. He does some wonderful editing and I really appreciate that. Remember, all these episodes are available as podcasts wherever you listen, just search "Breaking Analysis" Podcast. I publish each week on wikibon.com and siliconangle.com and you can email me at david.vellante@siliconangle.com or DM me @DVellante or comment on our LinkedIn post. And please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, and we'll see you next time on "Breaking Analysis". (upbeat music)

(upbeat music) >> Oracle is in the midst of an acceleration of its product cycles. It really has pushed new capabilities across its database, the database platforms, and of course the cloud in an effort to really maintain its position as the gold standard for cloud database. We've reported pretty extensively on Exadata, most recently the X9M that increased database IOPS and throughput. Organizations running mission critical OLTP, analytics and mix workloads tell us that they've seen meaningfully improved performance and lower costs, which you expect in a technology cycle. I often say if Oracle calls you out by name it's a compliment and it means you've succeeded. So just a couple of weeks ago, Oracle turned up the heat on MongoDB with a Mongo compatible API, in an effort to persuade developers to run applications in a autonomous database and on OCI, Oracle cloud infrastructure. There was a big emphasis by Oracle on acid compliance transactions and automatic scaling as well as access to multiple data types. This caught my attention because in the early days of no SQL, there was a lot of chatter from folks about not needing acid capability in the database anymore. Funny how that comes around. And anyway, you see Oracle investing, they spend money in R&D We've always said that`, they're protecting their moat. Now in social I've seen some criticisms like Oracle still is not adding enough new logos, and Oracle of course will dispute that and give you some examples. But to me what's most impressive is the big name customers that Oracle gets to talk in public. Deutsche Bank, Telephonic, Experian, FedEx, I mean dozens and dozens and dozens. I work with a lot of companies and the quality of the customers Oracle puts in front of analysts like myself is very very high. At the top of the list I would say. And they're big spending customers. And as we said many times when it comes to mission critical workloads, Oracle is the king. And one of the executives behind the success is a longtime Cube alum, Juan Loaiza who's executive vice president of mission critical technologies at Oracle. And we've invited him back on today to talk about some news and Oracle's latest developments and database, Juan welcome back to the show and thanks for coming on today and talking about today's announcement. >> I'm very happy to be here today with you. >> Okay, so what are you announcing and how does this help organizations particularly with those existing Exadata cloud at customer installations? >> Yeah, the big thing we're announcing is our very successful cloud at customer platform. We're extending the capabilities of our autonomous database running on it. And specifically we're allowing much smaller configurations so customers can start small and grow with our autonomous database on our cloud customer platform. >> So let's get into granularity a little bit and double click on this. Can you go over how customers, carve up VM clusters for different workloads? What's the tangible benefit to them? >> Yeah, so it's pretty straightforward. We deploy our Cloud@Customer system anywhere the customer wants it, let's say in their data center. And then through our cloud APIs and GUIs they can carve up into pieces into basically VMs. They can say, Hey, I want a VM with eight CPUs to do this, I want a VM with 20 CPUs to that, I want a 500 CPUVM to do something else. And that's what we call a VM cluster because in Cloud@Customer, it is a highly available environment. So you don't just get one VM, you get a cluster of highly available VMs. So you carve it up. You hand it out to different aspects of a company. You might have development on one, testing on another one, some production sales on one VM, marketing on a different VM. And then you run your databases in there and that's kind of how it works and it's all done completely through our GUI and it's very, very simple 'cause they use it the same cloud APIs and GUIs that we use in the public cloud. It is the same APIs and GUIs that we use in the public cloud. >> Yeah, I was going to say sounds like cloud. So what about prerequisites? What do customers have to do to take advantage of the new capabilities? Can they run it on an Exadata cloud a customer that they installed a couple years ago? Do they have to upgrade the hardware? What migration pain is involved? >> Yeah, there's no pain, so it's just, (coughs) excuse me. I can take their existing system, they get our free software update and they can just deploy autonomous database as a VM in their existing Exadata cloud system. >> Oh nice okay what's the bottom line dollars? Our audience are always interested in cutting costs. It's one of the reasons they're moving to the cloud for example. So how does autonomous database on VM clusters, on Exadata Cloud at Customer? How does it help cut their cost? >> Well, it's pretty straightforward. So previous to this a customer would have to have dedicated a system to either autonomous database or to non autonomous data. So you have to choose one together. So on a system by system basis, you chose I want this thing autonomous, or I don't want it autonomous. Now you carve in the VMs and say for this VM I want that autonomous for that VM I want to run a regular database managed database on there. So lets customers now start small with any size they want. They could start with two CPUs and run an autonomous database and that's all they pay for is the two CPUs that they use. >> Let's talk a little about traction. I mean, I remember we covered the original Exadata announcement quite a long time ago and it's obviously evolved and taken many forms. Look, it's hard to argue that it hasn't been a big success. It has for Oracle and your target customers. Does this announcement make Exadata cloud a customer more attractive for smaller companies. In other words, does it expand the team for ADB? And if so, how? >> Yeah, absolutely. I mean our Exadata cloud platform is extremely successful. We have thousands of deployments, we have on our data platform we have about almost 90% of the global fortune 100 and thousands of smaller customers. In the cloud we have now up to 40% of the global 100 a hundred biggest companies in the world running on that. So it's been extremely successful platform and cloud a customer is super key. A lot of customers can't move their data to the public cloud. So we bring the public cloud to them with our cloud customer offering. And so that's the big customer is the fortune hundred but we have thousands of smaller customers also. And the nice thing about this offering is we can start with literally two CPUs. So we can be a very small customer and still run our autonomous data based on our cloud customer platform. >> Well, everybody cares about security and governance. I mean, especially the big guys, but the little guys that in many ways as well they want the capabilities of the large companies but they can't necessarily afford it. So I want to talk about security in particular governance and it's especially important for mission-critical apps. So how does this all change the security in governance paradigm? What do customers need to know there? >> Yeah, so the beauty of autonomous database which is the thing that we're talking about today is Oracle deals with all the security. So the OS, the hardware, firmware, VMs, the database itself all the interfaces to the VM, to the database all that is it's all done by Oracle. So, which is incredibly important because there's a constant stream of security alerts that are coming out and it's very difficult for customers to keep up with this stuff. I mean, it's hard for us and we have thousands of engineers. And so we take that whole burden away from customers. And you just don't have to think about it, we deal with it. So once you deploy an autonomous database it is always secure because anytime a security alert comes out, we will apply that and we do it in an online fashion also. So it's really, particularly for smaller customers it's even harder because to keep up with all the security that you you need a giant team of security experts and even the biggest customers struggle with that and a small customer's going to really struggle. There's just two, you have to look at the entire stack, all the different components switches, firmware, OS, VMs, database, everything. It's just very difficult to keep up. So we do it all and for small cut, they just can't do it. So really they really need to partner with a company like Oracle that has thousands of engineers that can keep up with this stuff. >> It's true what you say, even large customers this CSOs will tell you that lack of talent, lack of skill sets. They just don't have enough people and so even the big guys can't keep up. Okay, I want you to pitch me as though I'm a developer, which I'm not, but we got a lot of developers in our community. We'll be Cube con next month in Valencia, sell me on why a developer should lean into ADB on Exadata cloud as a customer? >> Yeah, it's very straightforward. So Oracle has the most advanced database in the industry and that's widely recognized by database analysts and experts in the field. Traditionally, it's been hard for a developer to use it because it's been hard to manage. It's been hard to set up, install, configure, patch, back up all that kind of stuff. Autonomous database does it all for you. So as a developer, you can just go into our console, click on creating a database. We ask you four questions, how big, how many CPUs how much storage and say, give your password. And within minutes you have a database. And at that point you can go crazy and just develop. And you don't have to worry about managing the database, patching the database, maintaining the security and the database backing up to all that stuff. You can instantly scale it. You can say, Hey, I want to grow it, you just click a button, take, grow it to much any size you want and you get all the mission critical capabilities. So it works for tiny databases but it is a stock exchange quality in terms of performance, availability, security it's a rock solid database that's super trivial. So what used to be a very complex thing is now completely trivial for a developer. So they get the best of both worlds, they get everything on the database side and it it's trivial for them to use. >> Wow, if you're doing all that stuff for 'em are they going to do on their weekends? Code? (chuckles) >> They should be developing their application and add value to their company that's kind of what they should focus on. And they can be looking at all sorts of new technologies like JSON and the database machine learning in the database graph in the database. So you can build very sophisticated applications because you don't have to worry about the database anymore. >> All right, let's talk about the competition. So it's always a topic I like to bring up with you. From a competitive perspective how is this latest and instantiation of Exadata cloud a customer X9M how's this different from running an AWS database service for instance on outpost, or let's say I want to run SQL server on Azure Stack or whatever Microsoft's calling it these days. Give us the competitive angle here. >> Yeah, there kind of is no real competition. So both Amazon and Microsoft have an at customer solution but they're very primitive. I mean, just to give you an example like Amazon doesn't run any of their premier database offerings at customers. So whether it's Aurora Redshift, doesn't run just plane does not run. It's not that it runs badly or it's got limited, just does not run. They can't run Oracle RDS on premise and same thing with Microsoft. They can't run Azure SQL, which is their premier database on their act customer platform. So that kind of tells you how limited that platform is when even their own premier offerings doesn't run on it. In contrast, we're running Exadata with our premier autonomous database. So it's our premier platform that's in use today by most of the biggest, banks, telecom to retailers et cetera in the world, thousands of smaller customers. So it's super mission critical, super proven with our premier cloud database, which is autonomous theory. So it couldn't be more black and white, this is a case where it's there really is no competition in the cloud of customer space on the database side. >> Okay, but let me follow up on that, Juan, if I may, so, okay. So it took you guys a while to get to the cloud, it's taken them a while to figure it on-prem. I mean, aren't they going to eventually sort of get there? What gives you confidence that you'll be able to to keep ahead? >> Well, there's two things, right? One is we've been doing this for a long time. I mean, that's what Oracle initially started as an on-prem and our Exadata platform has been available for over a decade. And we have a ton of experience on this. We run the biggest banks in the world already, it's not some hope for the future. This is what runs today. And our focus has always been a combination of cloud and on-prem their heart's not really in the on-prem stuff they really like. Amazon's really a public cloud only vendor and you can see from the result, it's not you can say, they can say whatever they want but you can see the results. Their outpost platform has been available for several years now and it still doesn't even run their own products. So you can kind of see how hard they're trying and how much they really care about this market. >> All right, boil it down if you just had a few things that you'd tell someone about why they should run ADB on Exadata cloud at customer, what would you say? >> It's pretty simple, which is it's the world's most sophisticated database made completely simple, that's it? So you get a stock exchange level database, you can start really small and grow and it's completely trivial to run because Oracle is automated everything within our autonomous data we use machine learning and a lot of automation to automate everything around the database. So it's kind of the best of both worlds. The best possible database starts as small as you want and is the simplest database in the world. >> So I probably should have asked you this while I was pushing the competitive question but this may be my last question, I promise. It's the age old debate It rages on, you got specialized databases kind of a right tool for the right job approach. That's clearly where Amazon is headed or what Oracle refers to is converge database. Oracle says its approach is more complete and "simpler." Take us through your thinking on this and the latest positioning so the audience can understand it a bit better. >> Yeah, so apps aren't what they used to business apps, data driven apps aren't what they used to be. They used to be kind of green screens where you just entered data. Now everyone's a very sophisticated app, they want to be have location, they want to have maps, they want to have graph in there. They want to have machine learning, they want machine learning built into the app. So they want JSON they want text, they want text search. So all these capabilities are what a modern app has to support. And so what Oracle's done is we provided a single solution that provides everything you need to build a modern app and it's all integrated together. It's all transactional. You have analytics built into the same thing. You have reporting built into the same thing. So it has everything you need to build a modern app. In contrast, what most of our competitors do is they give you these little solutions, say, okay here you do machine learning over here, you do analytics over there, you do JSON over here, you do spatial over here you do graph over there. And then it's left a developer to put an app together from all these pieces. So it's like getting the pieces of a card and having to assemble it yourself and then maintain it for the rest of your life, which is the even harder part. So one part upgrades, you got to test that. So of other piece upgrade or changes, you got to test that, you got to deal with all the security problems of all these different systems. You have to convert the data, you have to move the data back and forth it's extraordinarily complicated. Our converge database, the data sits in one place and all the algorithms come to the data. It's very simple, it is dramatically simpler. And then autonomous database is what makes managing it trivial. You don't really have to manage anything more because Oracle's automated the whole thing. >> So, Juan, we got a pretty good Cadence going here. I mean I really appreciate you coming on and giving us these little video exclusives. You can tell by again, that Cadence how frequently you guys are making new announcements. So that's great, congrats on yet another announcement. Thanks for coming back in the program appreciate it. >> Yeah, of course we invest heavily in data management. That's our core and we will continue to do that. I mean, we're investing billions of dollars a year and we intend to stay the leaders in this market. >> Great stuff and thank you for watching the Cube, your leader in enterprise tech coverage, this is Dave Vellante we'll see you next time.

(upbeat music) >> Welcome to theCUBE's coverage of VMworld 2021. I'm Lisa Martin. I've got a CUBE alum with me next. Ajay Patel is here, the SVP and GM of Modern Apps and Management at VMware. Ajay, welcome back to the program, it's great to see you. >> Well thank you for having me. It's always great to be here. >> Glad that you're doing well. I want to dig into your role as SVP and GM with Modern Apps and Management. Talk to me about some of the dynamics of your role and then we'll get into the vision and the strategy that VMware has. >> Makes sense. VMware has created a business group called Modern Apps and Management, with the single mission of helping our customers accelerate their digital transformation through software. And we're finding them leveraging both the edge and the multiple clouds they deploy on. So our mission here is helping, them be the cloud diagnostic manager for application development and management through our portfolio of Tazu and VRealize solutions allowing customers to both build and operate applications at speed across these edge data center and cloud deployments And the big thing we hear is all the day two challenges, right of managing costs, risks, security, performance. That's really the essence of what the business group is about. How do we speed idea to production and allow you to operate at scale. >> When we think of speed, we can't help, but think of the acceleration that we've seen in the last 18 months, businesses transforming digitally to first survive the dynamics of the market. But talk to me about how the, the pandemic has influenced catalyzed VMware's vision here. >> You can see in every industry, this need for speed has really accelerated. What used to be weeks and months of planning and execution has materialized into getting something out in production in days. One of great example I can remember is one of my financial services customer that was responsible for getting all the COVID payments out to the small businesses and being able to get that application from idea to production matter of 10 days, it was just truly impressive to see the teams come together, to come up with the idea, put the software together and getting production so that we could start delivering the financial funds the companies needed, to keep them viable. So great social impact and great results in matter of days. >> And again, that acceleration that we've seen there, there's been a lot of silver linings, I think, but I want to get in next to some of the industry trends that are influencing app modernization. What are you seeing in the customer environment? What are some of those key trends that are driving adoption? >> I mean, this move to cloud is here to stay and most of customers have a cloud first strategy, and we rebranded this from VMware the cloud smart strategy, but it's not just about one particular flavor of cloud. We're putting the best workload on the best cloud. But the reality is when I speak to many of the customers is they're way behind on the bar of digital plats. And it's, that's because the simple idea of, you know, lift and shift or completely rewrite. So there's no one fits all and they're struggling with hardware capability, their the development teams, their IT assets, the applications are modernized across these three things. So we see modernization kind of fall in three categories, infrastructure modernization, the practice of development or devops modernization, and the application transform itself. And we are starting to find out that customers are struggling with all three. Well, they want to leverage the best of cloud. They just don't have the skills or the expertise to do that effectively. >> And how does VMware help address that skills gap. >> Yeah, so the way we've looked at it is we put a lot of effort around education. So on the everyone knows containers and Kubernetes is the future. They're looking to build these modern microservices, architectures and applications. A lot of investment in just kind of putting the effort to help customers learn these new tools, techniques, and create best practices. So theCUBE academy and the effort and the investment putting in just enabling the ecosystem now with the skills and capabilities is one big effort that VMware is putting. But more importantly, on the product side, we're delivering solutions that help customers both build design, deliver and operate these applications on Kubernetes across the cloud of choice. I'm most excited about our announcement around this product. We're just launching called Tanzu application platform. It is what we call an application aware platform. It's about making it easy for developers to take the ideas and get into production. It kind of bridging that gap that exists between development and operations. We hear a lot about dev ops, as you know, how do you bring that to life? How do you make that real? That's what Tanzu application platform is about. >> I'm curious of your customer conversations, how they've changed in the last year or so in terms of, app modernization, things like security being board level conversations, are you noticing that that is rising up the chain that app modernization is now a business critical initiative for our businesses? >> So it's what I'm finding is it's the means. It's not that if you think about the board level conversations about digital transformation you know, I'm a financial services company. I need to provide mobile FinTech. I'm competing with this new age application and you're delivering the same service that they offered digitally now, right. Like from a retail bank. I can't go to the store, the retail branch anymore, right. I need to provide the same capability for payments processing all online through my mobile phone. So it's really the digitalization of the traditional processes that we're finding most exciting. In order to do that, we're finding that no applications are in cloud right. They had to take the existing financial applications and put a mobile frontend to it, or put some new business logic or drive some transformation there. So it's really a transformation around existing application to deliver a business outcome. And we're focusing it through our Tanzu lab services, our capabilities of Tanzu application platform, all the way to the operations and management of getting these products in production or these applications in production. So it's the full life cycle from idea to production is what customers are looking for. They're looking to compress the cycle time as you and I spoke about, through this agility they're looking for. >> Right, definitely a compressed cycle time. Talk to me about some of the other announcements that are being made at VMworld with respect to Tanzu and helping customers on the app modernization front, and that aligned to the vision and mission that you talked about. >> Wonderful, I would say they're kind of, I put them in three buckets. One is what are we doing to help developers get access to the new technology. Back to the skills learning part of it, most excited about Tanzu of community edition and Tanzu mission control starter pack. This is really about getting Kubernetes stood up in your favorite deployment of choice and get started building your application very quickly. We're also announcing Tanzu application platform that I spoke about, we're going to beta 2 for that platform, which makes it really easy for developers to get access to Kubernetes capability. It makes development easy. We're also announcing marketplace enhancements, allowing us to take the best of breed IC solutions and making them available to help you build applications faster. So one set of announcements around building applications, delivering value, getting them down to market very quickly. On the management side, we're really excited about the broad portfolio management we've assembled. We're probably in the customer's a way to build a cloud operating model. And in the cloud operating model, it's about how do I do VMs and containers? How do I provide a consistent management control plane so I can deliver applications on the cloud of my choice? How do I provide intrinsic observability, intrinsic security so I can operate at scale. So this combination of development tooling, platform operations, and day two operations, along with enhancements in our cost management solution with CloudHealth or being able to take our universal capabilities for consumption, driving insight and observity that really makes it a powerful story for customers, either on the build or develop or deploy side of the equation. >> You mentioned a couple of things are interesting. Consistency being key from a management perspective, especially given this accelerated time in which we're living, but also you mentioned security. We've seen so much movement on the security front in the last year and a half with the massive rise in ransomware attacks, ransomware now becoming a household word. Talk to me about the security factor and how you're helping customers from a risk mitigation perspective, because now it's not, if we get attacked, it's when. >> And I think it's really starts with, we have this notion of a secure software supply chain. We think of software as a production factory from idea to production. And if you don't start with known good hard attacks to start with, trying to wire in security after attack is just too difficult. So we started with secure content, curated images content catalogs that customers are setting up as best practices. We started with application accelerators. These are best practice that codifies with the right guard rails in place. And then we automate that supply chain so that you have checks in every process, every step of the way, whether it's in the build process and the deploy process or in runtime production. And you had to do this at the application layer because there is no kind of firewall or edge you can protect the application is highly distributed. So things like application security and API security, another area we announced a new offering at VM world around API security, but everything starts with an API endpoint when you have a security. So security is kind of woven in into the design build, deploy and in the runtime operation. And we're kind of wire this in intrinsically to the platform with best of breed security partners now extending in evolving their solution on top of us. >> What's been some of the customer feedback from some of the new technologies that you announced. I'm curious, I imagine knowing how VMware is very customer centric, customers were essential in the development and iteration of the technologies, but just give me some of the idea on customer feedback of this direction that you're going. >> Yeah, there's a great, exciting example where we're working with the army to create a software factory. you would've never imagined right, The US army being a software digital enterprise, we're partnering with what we call the US army futures command in a joint effort to help them build the first ever software development factory where army personnel are actually becoming true cloud native developers, where you're putting the soldiers to do cloud native development, everything in the terms of practice of building software, but also using the Tanzu portfolio in delivering best-in-class capability. This is going to rival some of the top tech companies in Silicon valley. This is a five-year prototype project in which we're picking cohorts of soldiers, making them software developers and helping them build great capability through both combination of classroom based training, but also strong technical foundation and expertise provided by our lab. So this is an example where, you know, the industry is working with the customer to co-innovate, how we build software, but also driving the expertise of these personnel hierarchs. As a soldier, you know, what you need, what if you could start delivering solutions for rest of your members in a productive way. So very exciting, It's an example where we've leapfrogging and delivering the kind of the Silicon valley type innovation to our standard practice. It's traditionally been a procurement driven model. We're trying to speed that and drive it into a more agile delivery factory concept as well. So one of the most exciting projects that I've run into the last six months. >> The army software factory, I love that my dad was an army medic and combat medic in Vietnam. And I'm sure probably wouldn't have been apt to become a software developer. But tell me a little bit about, it's a very cool project and so essential. Talk to me a little bit about the impetus of the army software factory. How did that come about? >> You know, this came back with strong sponsorship from the top. I had an opportunity to be at the opening of the campus in partnership with the local Austin college. And as General Milley and team spoke about it, they just said the next battleground is going to be a digital backup power hub. It's something we're going to have to put our troops in place and have modernized, not just the army, but modernize the way we deliver it through software. It's it speaks so much to the digital transformation we're talking about right. At the very heart of it is about using software to enable whether it's medics, whether it's supplies, either in a real time intelligence on the battlefield to know what's happening. And we're starting to see user technology is going to drive dramatically hopefully the next war, we don't have to fight it more of a defensive mode, but that capability alone is going to be significant. So it's really exciting to see how technology has become pervasive in all aspects, in every format including the US army. And this partnership is a great example of thought leadership from the army command to deliver software as the innovation factory, for the army itself. >> Right, and for the army to rival Silicon valley tech companies, that's pretty impressive. >> Pretty ambitious right. In partnership with one of the local colleges. So that's also starting to show in terms of how to bring new talent out, that shortage of skills we talked about. It's a critical way to kind of invest in the future in our people, right? As we, as we build out this capability. >> That's excellent that investment in the future and helping fill those skills gaps across industries is so needed. Talk to me about some of the things that you're excited about this year's VMworld is again virtual, but what are some of the things that you think are really fantastic for customers and prospects to learn? >> I think as Raghu said, we're in the third act of VM-ware, but more interestingly, but the third act of where the cloud is, the cloud has matured cloud 2.0 was really about shifting and using a public cloud for the IS capabilities. Cloud 3.0 is about to use the cloud of choice for the best application. We are going to increasingly see this distributed nature of application. I asked most customers, where does your application run? It's hard to answer that, right? It's on your mobile device, it's in your storefront, it's in your data center, it's in a particular cloud. And so an application is a collection of services. So what I'm most excited about is all business capables being published as an API, had an opportunity to be part of a company called Sonos and then Apogee. And we talked about API management years ago. I see increasingly this need for being able to expose a business capability as an API, being able to compose these new applications rapidly, being able to secure them, being able to observe what's going on in production and then adjust and automate, you can scale up scale down or deploy the application where it's most needed in minutes. That's a dynamic future that we see, and we're excited that VM was right at the heart of it. Where that in our cloud agnostic software player, that can help you, whether it's your development challenges, your deployment challenges, or your management challenges, in the future of multi-cloud, that's what I'm most excited about, we're set up to help our customers on this cloud journey, regardless of where they're going and what solution they're looking to build. >> Ajay, what are some of the key business outcomes that the cloud is going to deliver across industries as things progress forward? >> I think we're finding the consistent message I hear from our customers is leverage the power of cloud to transform my business. So it's about business outcomes. It's less about technology. It's what outcomes we're driving. Second it's about speed and agility. How do I respond, adjust kind of dynamic contiuness. How do I innovate continuously? How do I adjust to what the business needs? And third thing we're seeing more and more is I need to be able to management costs and I get some predictability and able to optimize how I run my business. what they're finding with the cloud is the costs are running out of control, they need a way, a better way of knowing the value that they're getting and using the best cloud for the right technology. Whether may be a private cloud in some cases, a public cloud or an edge cloud. So they want to able to going to select and move and have that portability. Being able to make those choices optimization is something they're demanding from us. And so we're most excited about this need to have a flexible infrastructure and a cloud agnostic infrastructure that helps them deliver these kinds of business outcomes. >> You mentioned a couple of customer examples and financial services. You mentioned the army software factory. In terms of looking at where we are in 2021. Are there any industries in particular, maybe essential services that you think are really prime targets for the technologies, the new announcements that you're making at VM world. >> You know, what we are trying to see is this is a broad change that's happening. If you're in retail, you know, you're kind of running a hybrid world of digital and physical. So we're seeing this blending of physical and digital reality coming together. You know, FedEx is a great customer of ours and you see them as spoken as example of it, you know, they're continue to both drive operational change in terms of being delivering the packages to you on time at a lower cost, but on the other side, they're also competing with their primary partners and retailers and in some cases, right, from a distribution perspective for Amazon, with Amazon prime. So in every industry, you're starting to see the lines are blurring between traditional partners and competitors. And in doing so, they're looking for a way to innovate, innovate at speed and leverage technology. So I don't think there is a specific industry that's not being disrupted whether it's FinTech, whether it's retail, whether it's transportation logistics, or healthcare telemedicine, right? The way you do pharmaceutical, how you deliver medicine, it's all changing. It's all being driven by data. And so we see a broad application of our technology, but financial services, healthcare, telco, government tend to be a kind of traditional industries that are with us but I think the reaches are pretty broad. >> Yeah, it is all changing. Everything is becoming more and more data-driven and many businesses are becoming data companies or if they're not, they need to otherwise their competition, as you mentioned, is going to be right in the rear view mirror, ready to take their place. But that's something that we see that isn't being talked about. I don't think enough, as some of the great innovations coming as a result of the situation that we're in. We're seeing big transformations in industries where we're all benefiting. I think we need to get that, that word out there a little bit more so we can start showing more of those silver linings. >> Sure. And I think what's happening here is it's about connecting the people to the services at the end of the day, these applications are means for delivering value. And so how do we connect us as consumers or us employees or us as partners to the business to the operator with both digitally and in a physical way. And we bring that in a seamless experience. So we're seeing more and more experience matters, you know, service quality and delivery matter. It's less about the technologies back again to the outcomes. And so very much focused in building that the platform that our customers can use to leverage the best of the cloud, the best of their people, the best of the innovation they have within the organization. >> You're right. It's all about outcomes. Ajay, thank you for joining me today, talking about some of the new things that the mission of your organization, the vision, some of the new products and technologies that are being announced at VM world, we appreciate your time and hopefully next year we'll see you in person. >> Thank you again and look forward to the next VMWorld in person. >> Likewise for Ajay Patel. You're very welcome for Ajay Patel. I'm Lisa Martin, and you're watching theCUBEs coverage of VMWorld of 2021. (soft music)

>>mm Welcome to VM World 2021 2 days of virtual discussions on innovation. Multi cloud application modernization, securing your data new ways to work transforming the network expanding to the edge and loads of content to help build your digital business. My name is Dave Volonte and you're watching the cube and with me today is Carol Carpenter who's the chief marketing officer of VM. Where carol Great to see you again. Welcome back to the program. >>Thank you Dave. It's great to be here. >>Okay, well, so when we last talked last year at VM World, I honestly thought we'd be back face to face this year. Seems like we learn more every day every week. Every month. How did this year's event come together? What were your priorities in shaping the program? >>You know, I'm with you. I really hoped we would be together in person this year and here we are, another year of virtual. We are primarily all virtual again, which has some really big benefits in that we're able to reach new audiences who in the past couldn't afford to fly, could afford to take the days And it's taught us a lot. So we really approached this year as how do we create a VM world experience that is filled with digestible bites. You know, the notion that any of us are going to sit still for 3-2 days, three days and pay attention full time. This is a pretty antiquated notion. You know, we all like to to take little bites and tastes of content here and there and so we really designed the whole program to do just that. And with this go ahead. >>No, please carry on. >>No, I was going to say one of the things we really wanted to do this year with the M world. The reason the theme is imagined that is we wanted to show the world that VM World is not about your parents, BM world that this is a company while we're very proud of our virtualization past, what we offer today really spans the gamut as you pointed out everything from networking to security to application development platforms. So it's a it's just a different different company with different products and solutions for customers. >>And I love the whole concept of digestible called stackable bites and love that. And you've put together a pretty impressive lineup. You got superstar names, you got, you got stars inside of our industry and then you you know the tech people might know but you've got well known celebrities. What are you looking forward to this year and you know especially around customer and partner engagements. >>Yeah and thank you for highlighting all of that. Like I am super excited about all the different luminaries who are speaking. I am most excited about the customers and partners. Every session will have a customer's part of it. Either a customer speaking or a customer story or customer quotes really speaking to the value and with that we have hundreds of customers presenting customers. Like some you might expect like Fedex to new sas based customers like toast who provides restaurant software and they just went public to companies like space ape games who provide online games. So a real boy, I think a real diversity of customers um, in terms of their transformations and how they're leveraging the VM ware solutions. And then our partner ecosystem really excited. This year we added a new level of sponsorship to bring in some of the um, I would say younger customers and younger partners, partners like, you know, Reddit and um, you know, couch face and others who are bringing new solutions to market. >>We have some great names, they're toast. I think the local boston company, we've, we've been following them so excited to to hear what they have to say. Now let's talk a little bit about the virtual world, This is your second virtual VM world. I'm interested in what you're doing differently. I want to talk about learning, but, but what are you looking forward to in in, in in that sense? And how has the event grown? >>Well, the event has definitely grown in terms of the platform. I think the expectations in terms of numbers of attendees were expecting, you know, over 100,000. Um, and even in this zoom fatigued world, we still expect high level of engagement. The biggest changes. We have made one the more stackable content that we've been talking about two. We focused this year on a high level of interactivity, so we have slack channels set up for almost every session. We expect both speakers, customers prospects to really engage. And and then third area that's different is we amped up all of the different activities. We know that people want to interact and network in other ways. So, you know, some of the usual things like the bourbon tasting, the wine tasting, but also yoga classes and opportunities to learn from a magician, Even golf tips for those of us who love golfing, um really trying to mix it up and create a higher level of interactivity. In addition to all of the platforms you expect for hands on, learning, hands on labs, practitioner classes, All that's still there. We just wanted to increase the level of engagement. >>That's super fun, really innovating in that regard. You're right. I mean it's so easy to just to multitask and get lost. But if I know like if I'm really into yoga or I want some golf tip, I'm gonna come back at that time and it'll, you'll re engage me. So I love that, you know, the cube, we have a unique privilege of participating in a very wide spectrum of events as you can imagine. And we were deeply integrated carol into one of the industry's first big hybrid events this year at mobile world Congress this >>summer. We thought >>that was like the light of the end of the tunnel, but of course we've seen a pullback of sorts but we're still doing some physical, we do a lot of virtual, we were doing these hybrid events. We've been involved in events where they, you know, the host and the guests are there with no audience. So I'm curious as to how you see the evolution of conferences in this post isolation era. What's the learnings? What's changed and what does the future look like for events? >>Yeah, I mean I've talked with a lot of my industry peers about this, including the folks over at Mobile World Congress. Um, I don't think the large, the monolithic event with hundreds of thousands of people um, is in the cards for our near future. And so we've been rethinking like what does a physical event look like or a set of physical events look like next year. That would have an online component. We're we've always had an online component. So we certainly are not. We won't be shedding that anytime soon. The ability to reach new audiences. New targets, new user groups, we absolutely will keep that. I think in terms of the physical presence is exactly what you said. It will be hybrid. Um, we are looking at a series, don't quote me on this because we haven't finalized, but we are considering a series of in person, more local, more regional events with smaller groups. People still want that engagement, customers still want a network and talk with each other. Our users want to talk to each other are vima groups are our new groups like our DEvoPS loop group. The deVOPS folks, they all still want a network, so we want to provide that. But in a smaller, safer, more localized setting. And I think that's the future for a lot of companies. It puts a bigger toll and, and makes more work for us as the company who's hosting, meaning you and you too Dave, you'll be hopefully traveling with us two more of these locations, but it creates a little more strain on the team who is posting. >>You know, it's funny as you well know when we first started doing virtual events, like I said, we've always been been virtual, but largely it was okay. Here are the keynotes, you know, come watch. Uh, and now you're like, say you gave great examples of how you're increasing the engagement, getting much more creative and, and, and it was a lot unknown last year, especially like class March. It was like, okay and virtual events are harder in many respects than physical events and so much of the process has changed different roles. And I think we're seeing the same thing now with with hybrid, there's a lot that's unknown and a lot of trial and error, a lot of experimentation and, but I think at the end of the day, you can actually have the best of both worlds. You can get your what you described, I would, I would call it a VIP locally. V. I. P. Event maybe even role based they have the technical folks, it used to have conferences within conferences, you have your C. I. O. Event, you'd have your event and so I see a kind of return to that maybe I could say smaller and and safer and then a a much much larger audience and in the case it's different in terms of you know converting those into loyal customers and so forth. But but I think overall it's a much much bigger pond ocean that we're playing in. >>Absolutely I think of it as we're going to bring the um world too our customers and prospects and partners and you know it's pretty amazing. The other part of this you asked earlier about like speakers and some of the luminaries the fact is getting everyone to travel to one place at one point in time always had its share of logistical challenges and being able to, you know, some of it can be recorded in advance some of it will be in person. Like one thing we did this year is we recorded our ceo Ragu with six other ceos of hyper scholars talking about the future of multi cloud and what it means and the role that VM ware plays in this. That's pretty hard to do. Like to get all six of them together in one place at the same time. You know how everyone's schedules so compacted so that's what virtual gives us an opportunity to do reach, have more interesting speakers, lots of different speakers who potentially couldn't all travel. >>You don't want to miss that, that event or replay. Um, let's talk about your role as chief marketing officer. You're obviously putting your fingerprints on this new ever you new era. You had no choice you could have entered in. Yeah. We always talked about digital now is like if you're not a digital business, you're out of business and you're, you're living it now. But but I'm interested in in your strategy for global marketing, the organization, The brand in the coming decade. Like you say, the next 10 years are going to be like the last 10 years. >>That's right. Well let's talk about the brand. So VM ware, The name itself is so tightly associated to virtualization and VMS, right, Which is an amazing history and the story of success. That was really what we like to talk about is chapter One, We pioneered server virtualization laying the foundation for what today is the cloud. And then chapter two, we went bigger and broader and we virtualize the entire data center and now here we are, we're in chapter three and this is the next phase of our brand and our promise to customers, which is really focused on customer based innovation and helping our customers innovate and multi cloud. We really believe it's the center of gravity for everything we do. It's in our DNA. It's what how we take constraints which is a very multi cloud can be complex. There are challenges of you know are for customers operating in a multi cloud world. How do we take that help them turn it into an asset, How do we help them take that and give them freedom and control? And that's what our brand is about. It's about the ant is that you can help your developers move faster and retain enterprise control. It's that you can have enterprise apps on any cloud and you can have control and cost savings and enterprise management. So that's what the brand is about. That power of aunt and um and um in terms of how our marketing team is evolving a big piece is exactly what you said. You know just digital everything digital first customers want to learn try buy online and as a company you know VM ware we're shifting our business model from on premise license software to more assassin subscription services And you can see that in our earnings and how we've been shifting and it's quite exciting because with assassin subscription based model you know it's all about customers getting full value in helping customers achieve their value and consumption. So for our marketing team we have shifted from okay we want to get you to the sale and one and done to how do we really drive a full life cycle with a customer, how do we help them land and expand and use the products and get value from them and have a meaningful relationship. It's much more um of a full life cycle. So we're really excited. We, we love what we're doing um particularly on the acquisition side, getting helping customers to learn try by more easily in a digital world and then being able to follow them through with some physical, physical engagement, uh events like the um world and really helping them get the most value out of the products. >>VM ware is really quite an amazing company I'm super excited for as one individual has been following this company for a long time to see the next chapter and the thing a couple of things you mentioned innovation and I see so many companies today, they may have a big customer base, they just, it's easy for them. Easy quotes to milk that customer base and put out new products that sort of lifecycle products. Multi cloud is challenging and one of the hallmarks of VM ware is it's always had a leader that deeply understands technology. You've done that again with with Ragu and so engineering and really drives that innovation. So when I think about cloud generally and you know, there was some start stops with VMware's cloud strategy but then you said, you know what the cloud is an opportunity, it's a gift, we're gonna lean in and then you develop some really interesting partnerships like you said, you got all the big cloud companies up up on stage here this year. And so multi cloud is going to require deep engineering in a vision to really bring that uh, together. And I think, you know, VM ware is, he's one of a handful, you know, small handful of companies that can actually pull that off. >>Well, thank you. Dave, we think so for sure. I mean, we have the history and the foundation and the relationships to be able to do that. I think that um what's what's hard sometimes is that, you know, people may or may not know all the different things we do this multi cloud chapter is really a, It's the reality, 75% of our customers are operating living in a multi cloud world. And if you look at some of the data, it looks like 80, are going that way. And so how do we help them simplify? How do we help customers simplify and innovate for the future? It's definitely in our DNA it's how we take constraints and turn them into an asset for our customers. We, we really believe that it shouldn't be so complex and that we want our customers to have flexibility and choice used to be able to pick which application for which cloud and at any point in time change your mind as well when there are new capabilities on those clouds. And for us, you know, you've hit it on the head, we did realize and we did learn that we don't really want to compete with the hyper scale ear's, what they're doing is pretty unique. What we want to do is help customers consume and accelerate their innovation faster. >>Well, I love the messages and and really appreciate carol your time explaining to our cube audience, going to your vision is the CMO. And you know, we look forward to an interesting chapter ahead with hybrid events, hybrid cloud, multi cloud and all the rest. Thanks so much for coming back in the cube. >>Absolutely. Thank you for having me. Dave >>You're very welcome and thank you for watching. Keep it right there for more great content to cubes coverage of VM World 2021. The virtual edition will be right back. >>Mhm

>> Narrator: From around the globe, it's theCUBE, covering Fortinet Security Summit, brought to you by Fortinet. >> Welcome back to theCUBE, Lisa Martin here live in Napa Valley at the Fortinet Championship. This is the site of kickoff to the 2021-22 FedEx Cup regular series. We're here with Fortinet and we're here with one of our distinguished alumni, John Madison, the CMO and EVP of products. John, it's great to see you in person. >> Yes, Lisa it's been a while. >> It has been a while. >> Good to be back here, live. >> I know, you're not on Zoom, you're actually right six feet across from me. >> Yep, look, yes, it's definitely physical. >> It does, talk to me about the PGA and Fortinet. What are some of the synergies? >> There's a lot. I think one of the biggest ones is the culture of the two companies. So I mean, PGA tour, I think they've donated almost $3 billion to charities over the last 15 years, 20 years and we're the same. We would definitely want to give back to the community. We want to make sure we're providing training and education. We're trying to re-skill some of the veterans, for example, over 2000, also women in technology, you may have heard one of the key notes today about that, attempts from a education and training perspective. So there's a lot of synergies between the PGA Tour, and Fortinet from a cultural perspective. >> I love that. Cultural synergy is so important but also some of the initiatives, women in tech, STEM, STEAM, those are fantastic. Give our audience a little overview of what's going on here. We've got over 300 partners and customers here. What are some of the key themes being discussed today? >> Yeah, we're going to try and keep it smaller, this event. We don't want 10,000, 20,000 people. We'll keep it smaller. So about 300 customers and partners, and what we want to do is bring together, you know, the top people in cybersecurity and networking, we want to bring in customers so they can net with each other, we want to bring the partners here. And so, what you're going to see is you can see the tech expo behind you there, where people are talking technology. Some of the keynotes focus on areas like ransomware, for example, and cyber security in different industries. So definitely it's a smaller gathering, but I think it's very focused on cybersecurity and networking. >> Well, that's such an important topic these days. You know, you and I have spoken a number of times this summer by Zoom, and talking about the threat landscape and the changes-- >> Yep. >> And the work from anywhere. When you and I spoke, I think it was in June, you said 25% we expect are going to go back to the office, 25% permanently remote and the other 50 sort of transient. Do you still think given where we are now in September that that's still-- >> Yeah, I'm going to modify my prediction a bit, I think it's going to be hybrid for some time. And I don't think it's just at home or not at home or at work or not at work, I think it's going to be maybe one or two days, or maybe three days versus five days. And so, we definitely see the hybrid mode of about 50% for the next couple of years at least. I think that, you know, ransomware has been in the news a lot. You saw the Colonial, the ransomware has increased. We did a threat report recently. Showed about a 10X increase in ransomware. So, I think customers are very aware of the cybersecurity threats. The damage now is not just sucking information out and IP, it's causing damage to the infrastructure. So definitely the, you know, the attack surface is increased with people working from home, versus in the office, and then you've got the threat landscape, really, really focused on that ransomware piece. >> Yeah, ransomware becoming a household word, I'm pretty sure even my mom knows what that is. And talking about the nearly 11X increase in, what was that, the first half of 2021? >> Yeah, over the last 12 months. And I think what's also happened is ransomware used to be a broad attack. So let me send out, and see if I can find a thousand companies. Again, you saw with the Colonial attack, it's very targeted now as well. So you've got both targeted and broad ransomware campaigns going on. And a lot of companies are just rethinking their cybersecurity strategy to defend against that. And that work from home component is another attack surface. So a lot of companies that were operational technology companies that had air gaps and people would come to work, now that you can remotely get into the network, it's again, you can attack people at home, back into the network. >> Is that a direct correlation that you've saw in the last year, in terms of that increase in ransomware and this sudden shift to working from home? >> Well, I also think there's other components. And so, I think the ransomware organizations, the gangs, could use crypto more reasonably than checks and dollars and stuff like that. So they could get their money out. It became very profitable versus trying to sell credit card data on the dark web. So you saw that component. You also saw, as I said, the attack surface be larger for companies, and so those two things unfortunately have come together, and you know, really seen an exponential rise in attacks. >> Perfect storm. Let's talk about some of your customer conversations and how they've changed and evolved in the last 18 months. Give me a snapshot of when you're talking with customers, what are some of the things that they're coming to you for help, looking for the most guidance? >> Yeah, well I think, you know, the digital innovation transformation is almost accelerated because of, you know, COVID. They've accelerated those programs, especially in industries like retail, where it becomes almost essential now to have that digital connectivity. So they can't stop those programs. They need to accelerate those programs, but as they move those programs faster, again they expand their attack surface. And so, what I'm definitely seeing is a convergence of traditional kind of networking, connectivity, and cybersecurity teams like the CIO and the CSO working on projects jointly. So whether it be the WAN connectivity, or whether it be endpoint, or whether it be cloud, both teams are working much more closely going forward. >> Synergies there that are absolutely essential. Talk to me about what you guys announced with Linksys yesterday, speaking of work from home and how that has transformed every industry. Talk to us about the home work solution powered by Fortinet. >> Yeah, well, we definitely see work from home being there for some time. And so the question is, what do you do there? So I think initially 18 months ago, what happened was companies turned on their, what they call a VPN, which gives them an encrypted access when they went from 5% to a 100% people on the VPN. I speak to customers now and they're saying, that was kind of a temporary solution. It puts an end point security there. It was kind of temporary and now I need a longer-term solution because I can see this at least 50% for the next two years, being this hybrid work from home, and some of them are saying, "Well, let's look at something. Let's try and take the best of enterprise networking and security, and then try and match that with an easy to set up Wi-Fi or routing system." So the two companies, you know, have come together with this joint venture. We're taking Linksys technology from an ease of use at home, it's very simple to set up, you can do it on an app or whatever. And then we integrate the Fortinet technology inside there from a security and enterprise networking. The enterprises can manage themselves, the enterprise component and the consumer can manage their piece. What's very important is that separation as well. So the privacy of your home network, and then to make sure the enterprise piece is secure, and then also introducing some simple, what we call quality of service. So for a business person, things like Teams or Zoom as preference over some of the gaming and downloads of the family. So I think it brings the best of both worlds: ease of use and enterprise security together. >> I'm sure the kids won't like that it's not optimized for gaming, but it is optimized for things like video conferencing which, in the last year we've been dependent on for collaboration and communication. Tell me a little bit about the tuning for video conferencing and collaboration. >> Yeah, so we announced both Zoom and Microsoft Teams, probably the two biggest apps, which I use from a work from home business perspective. And definitely if you've got a normal system at home and your kids they've been downloading something, a new game or something like that, they can just take the whole bandwidth. And so the ability to kind of scale that back and make sure the Zoom meeting or the Teams meeting is first priority, I think is very important, to get that connectivity and that quality of service, but also have that security component as well. >> Yeah, the security component is increasingly important. Talk to me about why Linksys, was COVID the catalyst for this partnership? >> Well, I think we looked at it and we have our own work from home solutions as well. I mean, our own gear. We definitely wanted to find something where we could integrate into more of a ease of use solution set. And it just so happened we were speaking to Linksys on some other things and as soon as we started talking, it was very, very clear that this would be a great relationship and joint venture and so we made the investment. Not just "here's some of our code", we made a substantial investment in Linksys and yeah, we see some other things coming in the future as well. >> Can you talk to me a little bit about what the go to market will be, how can enterprises and consumers get this? >> Yeah. So it's more of an enterprise sale. I know some people think Linksys, they think consumer straight away. For us, this is a sale to the enterprises. So the enterprises buy it, it's a subscription service. So they just pay a monthly fee and they can have different levels of service inside there as well. They will get, you know, for each employee they'll get one, two or three nodes. And then so the, so the enterprise is paying for it, which I think will help a bit and they will manage it through their system, but the consumer will get this kind of a game that's very easy to use, very high speed connectivity, mesh technology. So yes, Linksys will sell some of it as well. But I think, you know, actually Fortinet will be the major kind of go to market because of our 500,000 business customers we have out there. >> Right. And your huge partner network. >> Yes. >> So let's talk about, give me a little bit of a view in terms of the benefit that IT will get leveraging the Linksys home work solution. I imagine that centralized visibility of all the devices connected to the corporate network, even though, wherever the devices are? >> Yeah, it actually extends the corporate network. So not in this initial release, in the second release. In the first release, they can go to a cloud portal and they can manage what they can manage from an enterprise perspective. The employee can go to the same portal, but gets a different view, can manage their piece. In the second release, we'll actually have support in our management systems. So if you're an existing Fortinet customer and you've got our management systems and say you've got, I don't know, 250 sites, and you're managing some of our firewalls or SD WAN systems, You'll be able to see all the employees links as systems as well, in that same management system. But again, there's a separation of duty and privacy where they can just manage the enterprise components, not they can't see the traffic from the employees' side, from the non-business transactions. >> Good. That privacy is key there. Do you think that in a perfect world, would help quiet down some of the perfect storm that we're seeing with ransomware and this explosion, this work from anywhere, work from home, going to be persisting technologies, like what you're doing with Linksys, is going to help make a dent in that spike? >> I think it's a component. So for us, the long term strategy for users, end point, this kind of Linksys component is an element. We also feel like there needs to be a transition of VPN technology into zero trust. So you're limiting again, the access to applications versus the network. And then definitely the third component would be a technology like EDR, which is more behavioral-based versus signature-based. And so you bring all those three together. Absolutely we'll make a dent in ransomware because you're just reducing the attack surface greatly, but also scanning the technology to make sure if you see something, you can act straight away. >> And then pair that with what you guys are doing and the investment that Fortinet's been making for a while in training and helping to fill that cybersecurity skills gap, which is growing year on year. >> Yeah. I speak to a lot of CSOs and CIOs and they go "What's the latest technology? What can you do next?" I say, well, the most important thing you can do is train your people. Train them not to click on that phishing link, right? Because still our numbers are around 6% of employees click on things and it doesn't matter what company you are. And so the education and the training is the one of the core, the most basic steps. We're introducing what we call an IT awareness program as part of NSC, which allows companies to download some tools. And they'll try some phishing emails that go out there, they'll see the response, see how they can (mumbles). So I always say that the people, the social engineering is the first step to try and fix and reduce. That's the biggest attack surface you will have. >> It's getting so sophisticated and so personalized. I mean I've seen examples with training that I've done for various companies where you really have to look 2, 3, 4 times at it and have the awareness alone to know that this might not be legitimate. >> Yeah, especially when people are just clicking on more things because they're going to more places. And so you have to be very careful. You can stop a bunch of that with some rule sets. So the systems, but if they're faking the domain, spear phishing, where they know exactly the context of where the email's coming out, it's hard, but you've just got to be very, very careful. If in doubt don't click on it. >> I agree if in doubt, don't click it. Well, John, it's always great talking to you. Exciting to hear the growth of Fortinet, what you're doing with PGA tour, the synergies there, the cultural synergies and the growth in customers and partners, lots of stuff to come. Can't wait till our next conversation, which I hope is also in person. >> Yes, yes, yes, for sure. You know, I think this is a great venue in that it's- as you can see it's open, which helps a lot. >> Yeah. >> It's not far from our headquarters, just down the road there, we've committed to this event for six or seven years. And so this is our first time, but definitely we're hoping to get out a bit more as we go forward. >> Excellent. I'm glad to see to see a company like Fortinet taking the lead and you look like you're dressed for golf. You said you have meetings, but I'm going to let you go because you probably have to get to that. >> I have a few more meetings. I wish they would leave a little gap for some golf. I'll try and work one as we go forward. >> Yeah. Anyway, John, thank you for joining me, great to see you. For John Madison, I'm Lisa Martin. You're watching theCUBE from the Fortinet Championship Security Summit in Napa. (Upbeat music)

>> Narrator: From around the globe, it's theCUBE, covering Fortinet Security Summit brought to you by Fortinet. >> Welcome to theCUBE. I'm Lisa Martin. We are live at the Fortinet Championship, the PGA Tour Kickoff to the 2021-2022 FedEx Regular Season Cup. And this is so exciting to be here with Fortinet, to be at an in-person event, and to be talking about a very important topic of cybersecurity. One of our alumni is back with me, Sandra Wheatley is here, the SVP of Marketing, Threat Intelligence, and Influencer Communications at Fortinet. Sandra, it's great to see you. >> You too, Lisa. Thank you for having me. >> This is a great event. >> Yeah, it's awesome, yeah. >> Great to be outdoors, great to see people again, and great for Fortinet for being one of the first to come back to in-person events. One of the things I would love to understand is here we are at the PGA tour, what's the relationship with Fortinet and the PGA Tour? >> Well, first of all, I think the PGA tour is an amazing brand. You just have to look around here and it's extremely exciting, but beyond the brand, there's a lot of synergies between the PGA tour and Fortinet CSR initiatives, particularly around STEM, diversity inclusion, as well as veterans rescaling. And so some of the proceeds from the Fortinet Championship will go to benefit local nonprofits and the local community. So that's something we're very excited about overall. >> Lisa: Is this a new partnership? >> It is a new partnership and we will be the Fortinet Championship sponsor for about the next five years. So we're looking forward to developing this partnership and this relationship, and benefiting a lot of nonprofits in the future. >> Excellent, that's a great cause. One of the things, when you and I last saw each other by Zoom earlier in the summer, we were talking about the cybersecurity skills gap. And it's in its fifth consecutive year, and you had said some good news on the front was that data show that instead of needing four million professionals to fill that gap, it's down to three, and now there's even better news coming from Fortinet. Talk to me about the pledge that you just announced to train one million people in the next five years. >> Absolutely, we're very excited about this. You know, Fortinet has been focused on reducing the skills gap for many years now. It continues to be one of the biggest issues for cybersecurity leaders if you think about it. You know, we still need about 3.1 million professionals to come into the industry. We have made progress, but the need is growing at about 400,000 a year. So it's something that public and private partnerships need to tackle. So last week we did announce that we are committed to training a million professionals over the next five years. We're very excited about that. We're tackling this problem in many, many ways. And this really helps our customers and our partners. If you really think about it, in addition to the lack of skills, they're really tackling cybersecurity surface that's constantly changing. In our most recent FortiGuard's threat report, we saw that ransomware alone went up 10 times over the last year. So it's something that we all have to focus on going forward. And this is our way of helping the industry overall. >> It's a huge opportunity. I had the opportunity several times to speak with Derek Manky and John Maddison over the summer, and just looking at what happened in the first half, the threat landscape, we spoke last year, looking at the second half, and ransomware as a service, the amount of money that's involved in that. The fact that we are in this, as Fortinet says, this work from anywhere environment, which is probably going to be somewhat persistent with the attack surface expanding, devices on corporate networks out of the home, there's a huge opportunity for people to get educated, trained, and have a great job in cybersecurity. >> Absolutely, I like to say there's no job security like cybersecurity, and it is. I mean, I've only been in this industry about, I'm coming up on six years, and it's definitely the most dynamic industry of all of the IT areas that I've worked in. The opportunities are endless, which is why it's a little bit frustrating to see this big gap in skills, particularly around the area of women and minorities. Women make up about 20%, and minorities are even less, maybe about 3%. And so this is a huge focus of ours. And so through our Training Advancement Agenda, our TAA initiative, we have several different pillars to attack this problem. And at the core of that is our Network Security Expert Training or NSC training and certification program. We made that freely available to everybody at the beginning of COVID. It was so successful, at one point we we're seeing someone register every five minutes. And that was so successful, we extended that indefinitely. And so to date, we've had about almost 700,000 certifications. So it's just an amazing program. The other pillars are Security Academy Program, where we partner with nonprofits and academia to train young students. And we have something like 419 academies in 88 countries. >> Lisa: Wow. >> And then the other area that's very important to us is our Veterans Program. You know, we have about 250,000 veterans every year, transfer out of the service, looking for other jobs in the private sector. And so not only do we provide our training free, but we do resume building, mentoring, all of these types of initiatives. And we've trained about 2,000 veterans and spouses, and about 350 of those have successfully got jobs. So that's something we'll continue to focus on. >> That's such a great effort. As the daughter of a Vietnam combat veteran, that really just hits me right in the heart. But it's something that you guys have been dedicated for. This isn't something new, this isn't something that is coming out of a result of the recent executive order from the Biden administration. Fortinet has been focused on training and helping to close that gap for a while. >> That's exactly true. While we made the commitment to train a million people on the heels of the Biden administration at Cybersecurity Summit about two weeks ago, we have been focused on this for many years. And actually, a lot of the global companies that were part of that summit happened to be partners on this initiative with us. For example, we work with the World Economic Forum, IBM, and Salesforce offer our NSC training on their training platforms. And this is an area that we think it's really important and we'll continue to partner with larger organizations over time. We're also working with a lot of universities, both in the Bay Area, local like Berkeley, and Stanford and others to train more people. So it's definitely a big commitment for us and has been for many years. >> It'll be exciting to see over the next few years, the results of this program, which I'm sure will be successful. Talk to me a little bit about this event here. Fortinet is 100% partner driven company, more than 300 or so partners and customers here. Tell me a little bit about what some of the interesting topics are that are going to be discussed today. >> Sure, yeah, so we're delighted to bring our partners and customers together. They will be discussing some of the latest innovations in cybersecurity, as well as some of the challenges and opportunities. We are seeing, you know, during COVID we saw a lot of change with regards to cybersecurity, especially with remote working. So we'll discuss our partnership with LYNX that we just announced. We'll also be talking about some of the emerging technologies like CTNA, 5G, SASE, cloud, and really understanding how we can best help protect our customers and our partners. So it's very exciting. In addition to our Technology Summit, we have a technology exhibition here with many of our big sponsors and partners. So it's definitely going to be a lot of dynamic conversation over the next few days. >> We've seen so much change in the last year and a half. That's just an understatement. But one of the things that you touched on this a minute ago, and we're all feeling this is is when we all had to shift to work from home. And here we are using corporate devices on home networks. We're using more devices, the edge is expanding, and that became a huge security challenge for enterprises to figure out how do we secure this. Because for some percentage, and I think John Maddison mentioned a few months ago to me, at least 25% will probably stay remote. Enterprises have to figure out how to keep their data secure as people are often the weakest link. Tell me about what you guys announced with LYNX that will help facilitate that. >> Well, we're announcing an enterprise grade security offering for people who are working remotely. And the nice thing about this offering is it's very easy to set up and implement, so consumers and others can easily set this up. It also provides a dashboard for the enterprise, IT organization to, they can see who's on the network, devices, everything else. So this should really help because we did see a big increase in attacks, really targeting remote workers. As cyber criminals try to use their home as a foothold into the enterprise. So we're very excited about this partnership, and definitely see big demand for this going forward. >> Well, can you tell me about the go-to market for that and where can enterprises and people get it? >> Well, we're still working through that. I know you'll talk with John later on, he'll have more details on that. But definitely, we'll be targeting both of our different sets of customers and the channel for this. And I definitely think this is something that will, it's something that enterprises are definitely looking for, and there'll be more to come on this over the next few months. >> It's so needed. The threat landscape just exploded last year, and it's in a- >> Sandra: Yeah, absolutely. >> Suddenly your home. Maybe your kids are home, your spouse is working, you're distracted, ransomware, phishing emails, so legitimate. >> Sandra: They do. >> Lisa: But the need for what you're doing with LYNX is absolutely essential these days. >> Sandra: Yeah, these threats are so sophisticated. They're really difficult. And the other thing we did in addition to LYNX was as we got into COVID, we saw that, or the most successful organizations were really using this as an opportunity to invest for the longterm in cybersecurity. We also saw that, and this continues to be the case that, the insider threat continues to be one of the biggest challenges, where an employee will accidentally hit on a phishing email. So we did roll out an infosec awareness training, and we made that free for all of our customers and partners. So we're trying to do everything we can to really help our customers through this demanding time. >> Lisa: Right, what are some of the feedback that you're hearing from customers? I'm sure they're very appreciative of the education, the training, the focus effort from Fortinet. >> Sandra: Absolutely, it's definitely huge. And more and more we're seeing partners who want to work with us and collaborate with us on these initiatives. We've had a really positive response from some of the companies that I mentioned earlier, some of the big global names. And we're very excited about that. So we feel like we have some key initiatives on pillars, and we'll continue to expand on those and bring more partners to work with us over time. >> Lisa: Expansion as the business is growing amazingly well. Tell me a little bit about that. >> Sandra: Yeah, I think, in our last quarter we announced our largest billings growth for many, many years. And so, Fortinet, we're been very fortunate over the last few years, has continued to grow faster than the market. We now have half a million customers, and I think our platform approach to security is really being adopted heavily. And we continue to see a lot of momentum, especially around our solutions like SD-WAN. I think we're the only vendor who provides security in SD-WAN appliance. And so that's been a key differentiator for us. The other thing that's increasingly important, especially with the rollout of 5G is performance. And, you know, Fortinet, from the very beginning, created its own customized ASX or SPU, which really provides the best performance in security compute ratings in the industry. So all of this is really helping us with our growth, and we're very excited about the opportunities ahead. >> Lisa: And last question, on that front, what are some of the things that you're excited about as we wrap up 2021 calendar year and go into 2022? >> Sandra: Well, this been very exciting year for Fortinet. And I think we're in a great position to take advantage of many of the different growth areas we're seeing in this new and changing space. And, you know, we're all on board and ready to take advantage of those opportunities, and really fire ahead. >> Lisa: Fire ahead, I like that. Sandra, thank you so much for joining me today, talking about the commitment, the long standing commitment that Fortinet has to training everybody from all ages, academia, veterans, to help close that cybersecurity skills gap. And such an interesting time that we've had. There's so much opportunity, and it's great to see how committed you are to helping provide those opportunities to people of all ages, races, you name it. >> Sandra: Thank you, Lisa, I really appreciate it. >> Lisa: Ah, likewise. For Sandra Wheatley, I'm Lisa Martin. You're watching theCube at the Fortinet Championship Security Summit. (soft bright music)

(upbeat music) >> Back the cube here. I'm John Furrier with the cube. Thanks Adam in the studio. We've got two entrepreneurs here. Co-founders of LastMileXchange, Andrew Hoskin and James Grant. Guys, thanks for coming on the cube, >> John. Good to be here. >> Love to get the entrepreneur, both co-founders making it happen. I mean, the pandemic was either a tailwind or a headwind for companies and certainly the internet didn't break. Everything worked out great. So, let's just jump in, why don't we get into some of the questions. What does LMX do? Who are you guys? Take a quick minute to explain what you guys do. >> Sure. So, we're a software provider. We have a cloud-based SAS platform, which effectively it's a bit like a Skyscanner or an Expedia for networks. Carriers need to buy and sell networks from each other and we help them do that. And we have been in the cloud since day one. And so, that's what we do while we're here and it's a good place for us to tell you about it. >> I got it. I got to ask you, because one of the things being entrepreneur, you've got to read the tea leaves. One of the secrets of being a co-founder and doing anything entrepreneurial these days is you got to see the future, but then you've got to come back to the present and convince everybody, what's going on. >> Entrepreneurs: Yeah. >> What is the core value proposition? What's the day in the life of a conversation? I mean you're talking to Martians now, like, huh? What's the public cloud it's like, is it like, isn't it just the internet? It's changing. What's the value proposition? What's the conversation like? >> So, the value position for us is that we, you know, we work with our customers to accelerate the sales cycle through cloud based services. So, a lot of our customers are global tier one carriers. So, we're looking to automate their connectivity pricing, and we do that via a cloud-based solution. So it is vital to us. And particularly with having customers all across the globe, being able to sort of deploy cloud-based services makes life much easier. >> I got to ask you, one of the things that we love about cloud is the agilities. >> Yeah. >> Can you talk about the impact of what you guys are offering for the agility side. What's the impact of the consumer, the application developer, what's the impact? >> Clouds have a big play for us, big impact for our customers. So we provide our solution effectively, almost a plug and play for them. So, we do quoting really, really well. You want to know where a network is, you want to know the connectivity, we'll sort that out for you, and we can give you a solution that they can plug into their systems really quickly. In terms of, for us, when we first started, we had servers in data centers and managing software on that, but we moved to Amazon pretty early. And what we now have is, we can spin up a new customer environment in a day, which you know, from previously two, three weeks. So, cloud has been transformational for us and hopefully for our customers as well. >> And you guys target mainly carriers? >> Very much so, yeah. We're very much in the big carrier Telco space. The people that provide the fabric upon which all of this sits. >> Yeah. And then by the way, it's magic and this, it's robust. It's what we need, utilities, it's important. Last mile, obviously, as we all, some people look at it and say, go back decades, rug ban, you know, last mile is always that last nut to crack. 5G's here, the mobile sector is looking at massive growth. You're starting to see the cloud providers recognize that the edge is just another network connection. >> Yeah, absolutely. >> How do you guys see that evolving? What's going on? How do you see that affecting your business, the customers on the market? >> Well, so network, I mean, access is all about getting onto the network, whether you're talking cloud or whatever. So, if you can't get into the network, cloud is nothing. If you can't sort of back haul your 5G, you're stuck. So, what we're seeing is, even with 5G, as it rolls out, as people look to densify their networks, they still need to get all that voice stuff, all that data traffic onto fiber. So, we're seeing a lot of interest there still in knowing where connectivity options are, knowing where the network is. With James also, I mean, that other aspect of access, 10 years ago was all about fiber. But you were just telling me before about how increasingly carriers are using 5G as effectively a router in a box, ship it in by a DPD or FedEx out to a customer. >> Yeah. So typically we'll think about mobile as connecting your mobile phone, but now we're looking at sort of, mobile connecting buildings. And one of the key challenges when you're connecting a building with mobile is what the actual connectivity within the building is. So, often we will see mobile maps that show you that sort of connectivity at sort of, the outside level. But of course, you're actually going to have your infrastructure in the building. So, you need to know what the straight signal strength is there. So, we're actually working with a partner at the moment so that we can identify within a building, what the quality of the signal is. >> I mean, that's class, if you think about like, most people think of, oh, it just drops to the end point and then you've got more network behind it, wireless. You got now to work at home dynamics, IOT devices. So, you guys have the buy-sell side of things going on, you got the carriers buying and selling there. >> Entrepreneurs: Yeah, absolutely. >> And then, SD WAN is a huge market, >> Andrew: Absolutely. >> That's growing and, as well. >> And all of that relies on access. Do you know what I mean? Like, you can talk 5G, you can talk IOT. And of course, those are the exciting, sexy things in the industry. But underpinning all of that is a network. And you mentioned the word before and it's right, utility, you know, maybe it's not the sexy side of things, but you've got to have it, otherwise, nothing else works. >> You know, one of the things we do a lot of cloud cover, we cover all of Amazon shows here coming into Telco, the Telco, digital revolution that's going on here, you can see it. And some people aren't ready for it. Almost like, reminds me of the mainframe days back when I was growing up in college, it's like, oh, I'm not, I don't want to do the mainframe. I'm the new guy, I'm the young kid. I love this, a PC and mini computers. Here, it's the same thing. It's kind of like, okay, I see the cloud, but when you have infrastructure as code, >> Yeah. >> Everything gets fuzzy. >> Yeah. >> I mean, now you're talking about programmability. So, that edge at the application level, some say it's going to be a massive innovation enabler, which is going to change that infrastructure's code, which means that guys like you guys got to be able to provide programmable routes, programmable and, >> Yeah. And APR is our, and the programmability of the network, the whole interplay from whether it's quoting, whether it's ordering, whether it's delivering services, whether it's kind of somebody going into somewhere and saying, "I'd like a, a hundred gig into this building", pressing a button and 15 minutes later, everything rolls together to turn it up, is where the whole industry is going. >> Let's take that for a second. >> Sure. >> Just a mind blowing scenario right there. Sounds simple. >> Yeah. >> Compared to where we were just 15 years ago. >> Yeah. >> That scenario didn't exist. >> No. >> And it's hard. It's not trivial. >> No. >> It's not non-trivial. All right. So what's this mean for customers? Are they like buying this level now, like, are they like, where are they on the spectrum of, you know, buying and the progression of operationalizing their business to be fully robust, network end to end, visibility on workloads to network? >> I would say it often depends where the customer is. So, obviously we deal with global customers and that's one of our big selling points is that, you know, a lot of people are focusing on the US, the Western European market, you know, and the connectivity challenges that they're trying to solve there. Our customers have global customers who are looking for connectivity all throughout world. And often there'll be things like mining companies who don't have fiber going into them. And so, we need to be able to work with our customers and their suppliers to be able to automate everything, because you can only fully quote a network when you've got all the locations back. And if you're waiting for information coming back from Africa or from the former CIS, then you know, you're going to have a problem. And we're working with companies in Africa and Russia, Kazakhstan, at the moment to help them automate everything. >> You know what's interesting, I just, my mind just goes nuts here when thinking about what you guys do, because as people start rolling their own with applications, they're going to need to have this programmability, like almost on demand, they're going to need to have, I want to do a digital TV network, I want to provision something or something's hybrid or at the edge. >> You've got a football game, or you've got something like this where you need capacity, you need it quickly. You need it for an event. >> Yeah, exactly. And 5G's perfect. I mean, how many times we've all been at a soccer game or a football game. It's like, I got bars but I have no back haul. Like we all been there. >> Yeah. >> Why, oh? >> Saturated the network and everyone's doing the same thing. >> The radios working, the back haul's choking. I mean, this is real. >> Absolutely. >> How does, does 5G solve that? I mean, where does that get, how does that get solved? I mean, is it going to be ubiquitous? Truly 5G going to make us all work better? I mean, certainly for the end use of 5G is it provides speed, it provides capacity. And also for the operators it provides being able to get more people onto it. And so, and 5G is not my core strength, but it absolutely will be transformative. What I can comment on is, like you say, for an event like this or the football or anything, the Euros, it ultimately goes into a pipe. So, you've got to make sure that you've got to have the right connectivity there and the right capacity there, from the user's phone, through the towers, all the way into the network, all the way to the data center and back again. So the edge, everything, has to play together to do that, and probably, rolling it out quickly and making sure it's agile and making sure it's fast and making sure it's quick and reliable. That's what needs to all work together. I liked how you said you know, the Expedia of the networks. >> Andrew: Yeah. >> That immediately in my mind says, okay, ease of use. >> Andrew: Yeah. >> From consumption standpoint, what's the next level of growth for you guys? I'm almost imagining is programmability or cloudifying or amplifying it, make it rain. >> Yeah, certainly we are going to continue to push into, yeah, effectively digital transformation in fact, across telecoms is happening. You would think there would be a lot further ahead than it is. It's not. There are a lot of people still quoting, ordering manually. So, we're very much part of that, but certainly the ordering and the provisioning, like we've mentioned, that's a big part, but for the industry, and we're going to hopefully be part of that, or we expect to be part of that. So that's, and making sure that connectivity is there when you need it. You know, I'm here, what's there? A bit like flights, I'd like to fly to New York. Who can do it, how much will it cost? I'll buy that one please. And that's what networks should be as well. >> James, what's your vision on how the customers are progressing in their mindset? Obviously, you've got the blocking and tackling to do, you're in the market. Where are they going with the use case and the application? >> The customers are getting to the stage where they're expecting to be able to go into a portal and turn up services. So, as with many things that we're seeing throughout life today, you can go into an app, you can press a couple of buttons and you can, you can order something. So, that's what they're expecting is to be able to just go and say, I need a hundred mg here, press a few buttons. And in 10 minutes time, the circuit's not only quoted, but it's provisioned. At the moment, there's this sort of a digital divide between those that have the digitization in place and those that don't. And that's the sort of the key that we're trying to sort of help the industry with is the sort of the, the outliers and, and also the main carriers to make sure that it's not a sort of, a digital haves and a digital have-nots. >> I was just going to say that. So, if you have the digital haves and have-nots, is that a function of them just not being operationalized in their digitization? Or is it they're not set up for it or they don't have you guys? What's that have-not side of it? How do they become the haves? >> One of the biggest challenges is actually around the sort of, identifying the connectivity at a particular location. So, in some countries it's very easy to do, like the US, UK, Netherlands. We have nice sort of standard address formatting, and you can identify a building at roof level. And when it comes to turning up connectivity straight away, you want to make sure that you turn up the connectivity to the right building. And that's one of the challenges that we're seeing throughout sort of, some of the Eastern European and the LatAm, the Asian and the African markets. >> I mean, we saw what happened with Amazon instances. You've got spot instances, you get reserved instances, you're starting to see that mindset. That's a SAS mindset. >> Yeah. >> That's kind of where things are going. Is that, you guys see the same thing here or is it different? >> Yeah. Well, certainly at the enterprise space, they tend to make decisions over a longer scale. So there, maybe not so much that you sign contracts in a year's term et cetera, but yeah, certainly as a provider, a SAS provider, using all those things, the ability to to tune your expenses, tune your costs, even your resource, you know, you're turning up servers by the hour, by the minute is a big thing. And it takes a mindset change for us and our customers. >> If you don't mind me asking, how long have you guys been doing business as co-founders, when did it start? What was the guiding principle? How do you guys look back now? >> James and I met working for Verizon many years ago. You might've heard of them. And, we sort of did what we do now, in as much as James ran the commercial side of things, I ran the software side of things and we saw that connectivity was a universal problem. And so we saw our opportunity. We went out, we started LastMileXchange. We pivoted once or twice, still in the same space, but we eventually realized that where we are now was what the industry needed. And that's where we've been pushing now for quite a few years. >> I want to give you guys a lot of credit and a lot of props, congratulations. I think, you know, the digital divide has been a broadband challenge for many, many years and decades. Now, you've got that urban divide where people don't have access. And I heard stories during the pandemic that people had access in the region, but couldn't get it to the home, affordability, access, devices. These are new issues, the digital divide, they have connectivity options. >> Andrew: Yeah. >> But it's not really clear yet. So, you're starting to see a lot more of that going on. Of course, the rural areas. >> Andrew: Yeah. >> I live out in the countryside on a farm. So, I'm quite used to their challenges of connectivity. You know, when I first moved into my house, I ended up having to get to way satellite broadband and things have improved now. But when we're talking about 5G, you have people in London, they have 5G. 5G is something that I'm not going to see for three, four years probably. >> Globally, it'll democratize access because like we were saying, we're sitting in an enterprise. You can send out a rooter or a router with a SIM card in it. I mean, you can give a kid a mobile phone in the middle of, you know, Kenya, and he can have access to the world through the internet. So, you know, that increased capacity, that increased densification of networks. Okay, they're not all going to be on 5G today. James hasn't got 5G and he only lives 30 minutes out of London. But 3G, 4G, I think the gentlemen on one of the keynotes was talking there about 3G Plus. You know, effectively, that's going to roll out. The 5G's are going to be in New Yorks and London, but, >> Like, it's going to be bring your own G to your house soon. And I think this space ops is going to be great. And I think overall, just overall, the challenges and the topologies, you're going to start to see diversity in the network topology, and actually it's going to explode. >> Andrew: Yeah, absolutely. Absolutely. >> Going to be super exciting. Well, again, I think you guys are under something big. I think this idea of sasifying, making things programmable, infrastructure as code is going to be pretty big. So, thanks for coming on. And what's your take, real quick, of Cloud City. >> It's been great. We've just walked in. We both said, as we came in, we came in yesterday to set up and we were really blown away and the rest of our team arrived today and they were very impressed as well. I was going to say Telco D on the team, have done a really impressive job. >> I think you have to come here and see it to believe it because when we walked in, it was just like, this place is stunning. >> Awesome. Well that's the cube coverage, we're rocking and rolling here. We're going back to the studio to see Adam and the team. Back to you.

>>from around the globe. It's the Cube presenting Cuban cloud brought to you by silicon angle. Okay, >>we're now going to explore the vision of the future of cloud computing From the perspective of one of the leaders in the field, J G >>Share >>a pure off is the vice president of As Your Data ai and Edge at Microsoft G. Welcome to the Cuban cloud. Thanks so much for participating. >>Well, thank you, Dave, and it's a real pleasure to be here with you. And I just wanna welcome the audience as well. >>Well, jg judging from your title, we have a lot of ground to cover, and our audience is definitely interested in all the topics that are implied there. So let's get right into it. You know, we've said many times in the Cube that the new innovation cocktail comprises machine intelligence or a I applied to troves of data. With the scale of the cloud. It's it's no longer, you know, we're driven by Moore's law. It's really those three factors, and those ingredients are gonna power the next wave of value creation and the economy. So, first, do you buy into that premise? >>Yes, absolutely. we do buy into it. And I think, you know, one of the reasons why we put Data Analytics and Ai together is because all of that really begins with the collection of data and managing it and governing it, unlocking analytics in it. And we tend to see things like AI, the value creation that comes from a I as being on that continues off, having started off with really things like analytics and proceeding toe. You know, machine learning and the use of data. Interesting breaks. Yes. >>I'd like to get some more thoughts around a data and how you see the future data and the role of cloud and maybe how >>Microsoft, you >>know, strategy fits in there. I mean, you, your portfolio, you got you got sequel server, Azure, Azure sequel. You got arc, which is kinda azure everywhere for people that aren't familiar with that. You've got synapse. Which course that's all the integration a data warehouse, and get things ready for B I and consumption by the business and and the whole data pipeline and a lot of other services as your data bricks you got You got cosmos in their, uh, Blockchain. You've got open source services like Post Dress and my sequel. So lots of choices there. And I'm wondering, you know, how do you think about the future of Of of Cloud data platforms? It looks like your strategies, right tool for the right job? Is that fair? >>It is fair, but it's also just to step back and look at it. It's fundamentally what we see in this market today is that customer was the Sikh really a comprehensive proposition? And when I say a comprehensive proposition, it is sometimes not just about saying that. Hey, listen way No, you're a sequel server company. We absolutely trust that you have the best Azure sequel database in the cloud, but tell us more. We've got data that's sitting in her group systems. We've got data that's sitting in Post Press in things like mongo DB, right? So that open source proposition today and data and data management and database management has become front and center, so are really sort of push. There is when it comes to migration management, modernization of data to present the broadest possible choice to our customers so we can meet them where they are. However, when it comes to analytics. One of the things they asked for is give us a lot more convergence use. You know it, really, it isn't about having 50 different services. It's really about having that one comprehensive service that is converged. That's where things like synapse Fitzer, where in just land any kind of data in the leg and then use any compute engine on top of it to drive insights from it. So, fundamentally, you know, it is that flexibility that we really sort of focus on to meet our customers where they are and really not pushing our dogma and our beliefs on it. But to meet our customers according to the way they have deployed stuff like this. >>So that's great. I want to stick on this for a minute because, you know, I know when when I have guests on like yourself, do you never want to talk about you know, the competition? But that's all we ever talk about. That's all your customers ever talk about, because because the counter to that right tool for the right job and that I would say, is really kind of Amazon's approach is is that you got the single unified data platform, the mega database that does it all. And that's kind of Oracle's approach. It sounds like you wanna have your cake and eat it, too, so you you got the right tool for the right job approach. But you've got an integration layer that allows you to have that converge database. I wonder if you could add color to that and you confirm or deny what I just said. >>No, that's a That's a very fair observation, but I I say there's a nuance in what I sort of describe when it comes to data management. When it comes to APS, we have them customers with the broadest choice. Even in that, even in that perspective, we also offer convergence. So, case in point, when you think about Cosmos TV under that one sort of service, you get multiple engines, but with the same properties, right global distribution, the five nines availability. It gives customers the ability to basically choose when they have to build that new cloud native AB toe, adopt cosmos Davey and adopted in a way that it's and choose an engine that is most flexible. Tow them, however you know when it comes to say, you know, writing a sequel server, for example from organizing it you know you want. Sometimes you just want to lift and shift it into things. Like I asked In other cases, you want to completely rewrite it, so you need to have the flexibility of choice there that is presented by a legacy off What's its on premises? When it moved into things like analytics, we absolutely believe in convergence, right? So we don't believe that look, you need to have a relation of data warehouse that is separate from a loop system that is separate from, say, a B I system. That is just, you know, it's a bolt on for us. We love the proposition off, really building things that are so integrated that once you land data, once you prep it inside the lake, you can use it for analytics. You can use it for being. You can use it for machine learning. So I think you know, are sort of differentiated. Approach speaks for itself there. Well, >>that's that's interesting, because essentially, again, you're not saying it's an either or, and you're seeing a lot of that in the marketplace. You got some companies say no, it's the Data Lake and others saying No, no put in the data warehouse and that causes confusion and complexity around the data pipeline and a lot of calls. And I'd love to get your thoughts on this. Ah, lot of customers struggled to get value out of data and and specifically data product builders of frustrated that it takes too long to go from. You know, this idea of Hey, I have an idea for a data service and it could drive monetization, but to get there, you gotta go through this complex data lifecycle on pipeline and beg people to add new data sources. And do you do you feel like we have to rethink the way that we approach data architectures? >>Look, I think we do in the cloud, and I think what's happening today and I think the place where I see the most amount of rethink the most amount of push from our customers to really rethink is the area of analytics in a I. It's almost as if what worked in the past will not work going forward. Right? So when you think about analytics on in the Enterprise today, you have relational systems, you have produced systems. You've got data marts. You've got data warehouses. You've got enterprise data warehouses. You know, those large honking databases that you use, uh, to close your books with right? But when you start to modernize it, what deep you are saying is that we don't want to simply take all of that complexity that we've built over say, you know, 34 decades and simply migrated on mass exactly as they are into the cloud. What they really want is a completely different way of looking at things. And I think this is where services like synapse completely provide a differentiated proposition to our customers. What we say there is land the data in any way you see shape or form inside the lake. Once you landed inside the lake, you can essentially use a synapse studio toe. Prep it in the way that you like, use any compute engine of your choice and and operate on this data in any way that you see fit. So, case in point, if you want to hydrate relation all data warehouse, you can do so if you want to do ad hoc analytics using something like spark. You can do so if you want to invoke power. Bi I on that data or b i on that data you can do so if you want to bring in a machine learning model on this breath data you can do so, so inherently. So when customers buy into this proposition, what it solves for them and what it gives them is complete simplicity, right? One way to land the data, multiple ways to use it. And it's all eso. >>Should we think of synapse as an abstraction layer that abstracts away the complexity of the underlying technology? Is that a fair way toe? Think about it. >>Yeah, you can think of it that way. It abstracts away, Dave a couple of things. It takes away the type of data, you know, sort of the complexities related to the type of data. It takes away the complexity related to the size of data. It takes away the complexity related to creating pipelines around all these different types of data and fundamentally puts it in a place where it can be now consumed by any sort of entity inside the actual proposition. And by that token, even data breaks. You know, you can, in fact, use data breaks in in sort off an integrated way with a synapse, Right, >>Well, so that leads me to this notion of and then wonder if you buy into it s Oh, my inference is that a data warehouse or a data lake >>could >>just be a node in inside of a global data >>mesh on. >>Then it's synapses sort of managing, uh, that technology on top. Do you buy into that that global data mesh concept >>we do. And we actually do see our customers using synapse and the value proposition that it brings together in that way. Now it's not where they start. Often times when a customer comes and says, Look, I've got an enterprise data warehouse, I want to migrate it or I have a group system. I want to migrate it. But from there, the evolution is absolutely interesting to see. I give you an example. You know, one of the customers that we're very proud off his FedEx And what FedEx is doing is it's completely reimagining its's logistics system that basically the system that delivers What is it? The three million packages a day on in doing so in this covert times, with the view of basically delivering our covert vaccines. One of the ways they're doing it is basically using synapse. Synapse is essentially that analytic hub where they can get complete view into their logistic processes. Way things are moving, understand things like delays and really put all that together in a way that they can essentially get our packages and these vaccines delivered as quickly as possible. Another example, you know, is one of my favorite, uh, we see once customers buy into it, they essentially can do other things with it. So an example of this is, uh is really my favorite story is Peace Parks Initiative. It is the premier Air White Rhino Conservancy in the world. They essentially are using data that has landed in azure images in particular. So, basically, you know, use drones over the vast area that they patrol and use machine learning on this data to really figure out where is an issue and where there isn't an issue so that this part with about 200 rangers can scramble surgically versus having to read range across the last area that they cover. So What do you see here is you know, the importance is really getting your data in order. Landed consistently. Whatever the kind of data ideas build the right pipelines and then the possibilities of transformation are just endless. >>Yeah, that's very nice how you worked in some of the customer examples. I appreciate that. I wanna ask you, though, that that some people might say that putting in that layer while it clearly adds simplification and e think a great thing that they're begins over time to be be a gap, if you will, between the ability of that layer to integrate all the primitives and all the peace parts on that, that you lose some of that fine grain control and it slows you down. What would you say to that? >>Look, I think that's what we excel at, and that's what we completely sort of buy into on. It's our job to basically provide that level off integration that granularity in the way that so it's an art, absolutely admit it's an art. There are areas where people create simplicity and not a lot of you know, sort of knobs and dials and things like that. But there are areas where customers want flexibility, right? So I think just to give you an example of both of them in landing the data inconsistency in building pipelines, they want simplicity. They don't want complexity. They don't want 50 different places to do this. Just 100 to do it. When it comes to computing and reducing this data analyzing this data, they want flexibility. This is one of the reasons why we say, Hey, listen, you want to use data breaks? If you're you're buying into that proposition and you're absolutely happy with them, you can plug plug it into it. You want to use B I and no, essentially do a small data mart. You can use B I If you say that. Look, I've landed in the lake. I really only want to use em melt, bringing your animal models and party on. So that's where the flexibility comes in. So that's sort of really sort of think about it. Well, >>I like the strategy because, you know, my one of our guest, Jim Octagon, e E. I think one of the foremost thinkers on this notion of off the data mesh and her premises that that that data builders, data product and service builders air frustrated because the the big data system is generic to context. There's no context in there. But by having context in the big data architecture and system, you could get products to market much, much, much faster. So but that seems to be your philosophy. But I'm gonna jump ahead to do my ecosystem question. You've mentioned data breaks a couple of times. There's another partner that you have, which is snowflake. They're kind of trying to build out their own, uh, data cloud, if you will, on global mesh in and the one hand, their partner. On the other hand, there are competitors. How do you sort of balance and square that circle? >>Look, when I see snowflake, I actually see a partner. You know that when we essentially you know, we are. When you think about as you know, this is where I sort of step back and look at Azure as a whole and in azure as a whole. Companies like snowflakes are vital in our ecosystem, right? I mean, there are places we compete, but you know, effectively by helping them build the best snowflake service on Asia. We essentially are able toe, you know, differentiate and offer a differentiated value proposition compared to, say, a Google or on AWS. In fact, that's being our approach with data breaks as well, where you know they are effectively on multiple club, and our opportunity with data breaks is toe essentially integrate them in a way where we offer the best experience. The best integrations on Azure Barna That's always been a focus. >>That's hard to argue with. Strategy. Our data with our data partner eat er, shows Microsoft is both pervasive and impressively having a lot of momentum spending velocity within the budget cycles. I wanna come back thio ai a little bit. It's obviously one of the fastest growing areas in our in our survey data. As I said, clearly, Microsoft is a leader in this space. What's your what's your vision of the future of machine intelligence and how Microsoft will will participate in that opportunity? >>Yeah, so fundamentally, you know, we've built on decades of research around, you know, around, you know, essentially, you know, vision, speech and language that's being the three core building blocks and for the for a really focused period of time we focused on essentially ensuring human parody. So if you ever wondered what the keys to the kingdom are it, czar, it's the most we built in ensuring that the research posture that we've taken there, what we then done is essentially a couple of things we focused on, essentially looking at the spectrum. That is a I both from saying that, Hollis and you know it's gotta work for data. Analysts were looking toe basically use machine learning techniques, toe developers who are essentially, you know, coding and building a machine learning models from scratch. So for that select proposition manifesto us, as you know, really a. I focused on all skill levels. The other court thing we've done is that we've also said, Look, it will only work as long as people trust their data and they can trust their AI models. So there's a tremendous body of work and research we do in things like responsibility. So if you ask me where we sort of push on is fundamentally to make sure that we never lose sight of the fact that the spectrum off a I, and you can sort of come together for any skill level, and we keep that responsibly. I proposition. Absolutely strong now against that canvas, Dave. I'll also tell you that you know, as edge devices get way more capable, right where they can input on the edge, see a camera or a mike or something like that, you will see us pushing a lot more of that capability onto the edge as well. But to me, that's sort of a modality. But the core really is all skill levels and that responsible denia. >>Yeah, So that that brings me to this notion of wanna bring an edge and and hybrid cloud Understand how you're thinking about hybrid cloud multi cloud. Obviously one of your competitors, Amazon won't even say the word multi cloud you guys have, Ah, you know, different approach there. But what's the strategy with regard? Toe, toe hybrid. You know, Do you see the cloud you bringing azure to the edge? Maybe you could talk about that and talk about how you're different from the competition. >>Yeah, I think in the edge from Annette, you know, I live in I'll be the first one to say that the word nge itself is conflated. Okay, It's, uh but I will tell you, just focusing on hybrid. This is one of the places where you know I would say the 2020 if I would have looked back from a corporate perspective. In particular, it has Bean the most informative because we absolutely saw customers digitizing moving to the cloud. And we really saw hybrid in action. 2020 was the year that hybrid sort of really became really from a cloud computing perspective and an example of this is we understood it's not all or nothing. So sometimes customers want azure consistency in their data centers. This is where things like Azure stack comes in. Sometimes they basically come to us and say, We want the flexibility of adopting flexible pattern, you know, platforms like, say, containers orchestra, Cuban Pettis, so that we can essentially deployed wherever you want. And so when we design things like art, it was built for that flexibility in mind. So here is the beauty of what's something like our can do for you. If you have a kubernetes endpoint anywhere we can deploy and as your service onto it, that is the promise, which means if for some reason, the customer says that. Hey, I've got this kubernetes endpoint in AWS and I love as your sequel. You will be able to run as your sequel inside AWS. There's nothing that stops you from doing it so inherently you remember. Our first principle is always to meet our customers where they are. So from that perspective, multi cloud is here to stay. You know, we're never going to be the people that says, I'm sorry, we will never see a But it is a reality for our customers. >>So I wonder if we could close. Thank you for that by looking, looking back and then and then ahead. And I wanna e wanna put forth. Maybe it's, Ah criticism, but maybe not. Maybe it's an art of Microsoft, but But first you know, you get Microsoft an incredible job of transitioning. It's business as your nominee president Azzawi said. Our data shows that so two part question First, Microsoft got there by investing in the cloud, really changing its mind set, I think, in leveraging its huge software state and customer base to put Azure at the center of its strategy, and many have said me included that you got there by creating products that air Good enough. You know, we do a 1.0, it's not that great. And the two Dato, and maybe not the best, but acceptable for your customers. And that's allowed you to grow very rapidly expanding market. >>How >>do you respond to that? Is that is that a fair comment? Ume or than good enough? I wonder if you could share your >>thoughts, gave you? You hurt my feelings with that question. I don't hate me, g getting >>it out there. >>So there was. First of all, thank you for asking me that. You know, I am absolutely the biggest cheerleader. You'll find a Microsoft. I absolutely believe you know that I represent the work off almost 9000 engineers and we wake up every day worrying about our customer and worrying about the customer condition and toe. Absolutely. Make sure we deliver the best in the first time that we do. So when you take the platter off products we've delivered in nausea, be it as your sequel, be it as your cosmos TV synapse as your data breaks, which we did in partnership with data breaks, a za machine learning and recently when we prevail, we sort off, you know, sort of offered the world's first comprehensive data government solution in azure purview. I would humbly submit to you that we're leading the way and we're essentially showing how the future off data ai and the actual work in the cloud. >>I'd be disappointed if you if you had If you didn't, if you capitulated in any way J g So so thank you for that. And the kind of last question is, is looking forward and how you're thinking about the future of cloud last decade. A lot about your cloud migration simplifying infrastructure management, deployment SAS if eyeing my enterprise, lot of simplification and cost savings. And, of course, the redeployment of resource is toward digital transformation. Other other other valuable activities. How >>do >>you think this coming decade will will be defined? Will it be sort of more of the same? Or is there Is there something else out there? >>I think I think that the coming decade will be one where customers start one law outside value out of this. You know what happened in the last decade when people leave the foundation and people essentially looked at the world and said, Look, we've got to make the move, you know, the largely hybrid, but we're going to start making steps to basically digitize and modernize our platforms. I would tell you that with the amount of data that people are moving to the cloud just as an example, you're going to see use of analytics ai for business outcomes explode. You're also going to see a huge sort of focus on things like governance. You know, people need to know where the data is, what the data catalog continues, how to govern it, how to trust this data and given all other privacy and compliance regulations out there. Essentially, they're complying this posture. So I think the unlocking of outcomes versus simply Hey, I've saved money Second, really putting this comprehensive sort off, you know, governance, regime in place. And then, finally, security and trust. It's going to be more paramount than ever before. Yeah, >>nobody's gonna use the data if they don't trust it. I'm glad you brought up your security. It's It's a topic that hits number one on the CEO list. J G. Great conversation. Obviously the strategy is working, and thanks so much for participating in Cuba on cloud. >>Thank you. Thank you, David. I appreciate it and thank you to. Everybody was tuning in today. >>All right? And keep it right there. I'll be back with our next guest right after this short break.

>> Okay, we're now going to explore the vision of the future of cloud computing from the perspective of one of the leaders in the field, JG Chirapurath is the Vice President of Azure Data AI and Edge at Microsoft. JG, welcome to theCUBE on Cloud, thanks so much for participating. >> Well, thank you, Dave. And it's a real pleasure to be here with you and just want to welcome the audience as well. >> Well, JG, judging from your title, we have a lot of ground to cover and our audience is definitely interested in all the topics that are implied there. So let's get right into it. We've said many times in theCUBE that the new innovation cocktail comprises machine intelligence or AI applied to troves of data with the scale of the cloud. It's no longer we're driven by Moore's law. It's really those three factors and those ingredients are going to power the next wave of value creation in the economy. So first, do you buy into that premise? >> Yes, absolutely. We do buy into it and I think one of the reasons why we put data analytics and AI together, is because all of that really begins with the collection of data and managing it and governing it, unlocking analytics in it. And we tend to see things like AI, the value creation that comes from AI as being on that continuum of having started off with really things like analytics and proceeding to be machine learning and the use of data in interesting ways. >> Yes, I'd like to get some more thoughts around data and how you see the future of data and the role of cloud and maybe how Microsoft strategy fits in there. I mean, your portfolio, you've got SQL Server, Azure SQL, you got Arc which is kind of Azure everywhere for people that aren't familiar with that you got Synapse which course does all the integration, the data warehouse and it gets things ready for BI and consumption by the business and the whole data pipeline. And then all the other services, Azure Databricks, you got you got Cosmos in there, you got Blockchain, you've got Open Source services like PostgreSQL and MySQL. So lots of choices there. And I'm wondering, how do you think about the future of cloud data platforms? It looks like your strategy is right tool for the right job. Is that fair? >> It is fair, but it's also just to step back and look at it. It's fundamentally what we see in this market today, is that customers they seek really a comprehensive proposition. And when I say a comprehensive proposition it is sometimes not just about saying that, "Hey, listen "we know you're a sequence of a company, "we absolutely trust that you have the best "Azure SQL database in the cloud. "But tell us more." We've got data that is sitting in Hadoop systems. We've got data that is sitting in PostgreSQL, in things like MongoDB. So that open source proposition today in data and data management and database management has become front and center. So our real sort of push there is when it comes to migration management modernization of data to present the broadest possible choice to our customers, so we can meet them where they are. However, when it comes to analytics, one of the things they ask for is give us lot more convergence use. It really, it isn't about having 50 different services. It's really about having that one comprehensive service that is converged. That's where things like Synapse fits in where you can just land any kind of data in the lake and then use any compute engine on top of it to drive insights from it. So fundamentally, it is that flexibility that we really sort of focus on to meet our customers where they are. And really not pushing our dogma and our beliefs on it but to meet our customers according to the way they've deployed stuff like this. >> So that's great. I want to stick on this for a minute because when I have guests on like yourself they never want to talk about the competition but that's all we ever talk about. And that's all your customers ever talk about. Because the counter to that right tool for the right job and that I would say is really kind of Amazon's approach is that you got the single unified data platform, the mega database. So it does it all. And that's kind of Oracle's approach. It sounds like you want to have your cake and eat it too. So you got the right tool with the right job approach but you've got an integration layer that allows you to have that converged database. I wonder if you could add color to that and confirm or deny what I just said. >> No, that's a very fair observation but I'd say there's a nuance in what I sort of described. When it comes to data management, when it comes to apps, we have then customers with the broadest choice. Even in that perspective, we also offer convergence. So case in point, when you think about cosmos DB under that one sort of service, you get multiple engines but with the same properties. Right, global distribution, the five nines availability. It gives customers the ability to basically choose when they have to build that new cloud native app to adopt cosmos DB and adopt it in a way that is an choose an engine that is most flexible to them. However, when it comes to say, writing a SequenceServer for example, if modernizing it, you want sometimes, you just want to lift and shift it into things like IS. In other cases, you want to completely rewrite it. So you need to have the flexibility of choice there that is presented by a legacy of what sits on premises. When you move into things like analytics, we absolutely believe in convergence. So we don't believe that look, you need to have a relational data warehouse that is separate from a Hadoop system that is separate from say a BI system that is just, it's a bolt-on. For us, we love the proposition of really building things that are so integrated that once you land data, once you prep it inside the Lake you can use it for analytics, you can use it for BI, you can use it for machine learning. So I think, our sort of differentiated approach speaks for itself there. >> Well, that's interesting because essentially again you're not saying it's an either or, and you see a lot of that in the marketplace. You got some companies you say, "No, it's the data lake." And others say "No, no, put it in the data warehouse." And that causes confusion and complexity around the data pipeline and a lot of cutting. And I'd love to get your thoughts on this. A lot of customers struggle to get value out of data and specifically data product builders are frustrated that it takes them too long to go from, this idea of, hey, I have an idea for a data service and it can drive monetization, but to get there you got to go through this complex data life cycle and pipeline and beg people to add new data sources and do you feel like we have to rethink the way that we approach data architecture? >> Look, I think we do in the cloud. And I think what's happening today and I think the place where I see the most amount of rethink and the most amount of push from our customers to really rethink is the area of analytics and AI. It's almost as if what worked in the past will not work going forward. So when you think about analytics only in the enterprise today, you have relational systems, you have Hadoop systems, you've got data marts, you've got data warehouses you've got enterprise data warehouse. So those large honking databases that you use to close your books with. But when you start to modernize it, what people are saying is that we don't want to simply take all of that complexity that we've built over, say three, four decades and simply migrate it en masse exactly as they are into the cloud. What they really want is a completely different way of looking at things. And I think this is where services like Synapse completely provide a differentiated proposition to our customers. What we say there is land the data in any way you see, shape or form inside the lake. Once you landed inside the lake, you can essentially use a Synapse Studio to prep it in the way that you like. Use any compute engine of your choice and operate on this data in any way that you see fit. So case in point, if you want to hydrate a relational data warehouse, you can do so. If you want to do ad hoc analytics using something like Spark, you can do so. If you want to invoke Power BI on that data or BI on that data, you can do so. If you want to bring in a machine learning model on this prep data, you can do so. So inherently, so when customers buy into this proposition, what it solves for them and what it gives to them is complete simplicity. One way to land the data multiple ways to use it. And it's all integrated. >> So should we think of Synapse as an abstraction layer that abstracts away the complexity of the underlying technology? Is that a fair way to think about it? >> Yeah, you can think of it that way. It abstracts away Dave, a couple of things. It takes away that type of data. Sort of complexities related to the type of data. It takes away the complexity related to the size of data. It takes away the complexity related to creating pipelines around all these different types of data. And fundamentally puts it in a place where it can be now consumed by any sort of entity inside the Azure proposition. And by that token, even Databricks. You can in fact use Databricks in sort of an integrated way with the Azure Synapse >> Right, well, so that leads me to this notion of and I wonder if you buy into it. So my inference is that a data warehouse or a data lake could just be a node inside of a global data mesh. And then it's Synapse is sort of managing that technology on top. Do you buy into that? That global data mesh concept? >> We do and we actually do see our customers using Synapse and the value proposition that it brings together in that way. Now it's not where they start, oftentimes when a customer comes and says, "Look, I've got an enterprise data warehouse, "I want to migrate it." Or "I have a Hadoop system, I want to migrate it." But from there, the evolution is absolutely interesting to see. I'll give you an example. One of the customers that we're very proud of is FedEx. And what FedEx is doing is it's completely re-imagining its logistics system. That basically the system that delivers, what is it? The 3 million packages a day. And in doing so, in this COVID times, with the view of basically delivering on COVID vaccines. One of the ways they're doing it, is basically using Synapse. Synapse is essentially that analytic hub where they can get complete view into the logistic processes, way things are moving, understand things like delays and really put all of that together in a way that they can essentially get our packages and these vaccines delivered as quickly as possible. Another example, it's one of my favorite. We see once customers buy into it, they essentially can do other things with it. So an example of this is really my favorite story is Peace Parks initiative. It is the premier of white rhino conservancy in the world. They essentially are using data that has landed in Azure, images in particular to basically use drones over the vast area that they patrol and use machine learning on this data to really figure out where is an issue and where there isn't an issue. So that this part with about 200 radios can scramble surgically versus having to range across the vast area that they cover. So, what you see here is, the importance is really getting your data in order, landing consistently whatever the kind of data it is, build the right pipelines, and then the possibilities of transformation are just endless. >> Yeah, that's very nice how you worked in some of the customer examples and I appreciate that. I want to ask you though that some people might say that putting in that layer while you clearly add simplification and is I think a great thing that there begins over time to be a gap, if you will, between the ability of that layer to integrate all the primitives and all the piece parts, and that you lose some of that fine grain control and it slows you down. What would you say to that? >> Look, I think that's what we excel at and that's what we completely sort of buy into. And it's our job to basically provide that level of integration and that granularity in the way that it's an art. I absolutely admit it's an art. There are areas where people crave simplicity and not a lot of sort of knobs and dials and things like that. But there are areas where customers want flexibility. And so I think just to give you an example of both of them, in landing the data, in consistency in building pipelines, they want simplicity. They don't want complexity. They don't want 50 different places to do this. There's one way to do it. When it comes to computing and reducing this data, analyzing this data, they want flexibility. This is one of the reasons why we say, "Hey, listen you want to use Databricks. "If you're buying into that proposition. "And you're absolutely happy with them, "you can plug it into it." You want to use BI and essentially do a small data model, you can use BI. If you say that, "Look, I've landed into the lake, "I really only want to use ML." Bring in your ML models and party on. So that's where the flexibility comes in. So that's sort of that we sort of think about it. >> Well, I like the strategy because one of our guests, Jumark Dehghani is I think one of the foremost thinkers on this notion of of the data mesh And her premise is that the data builders, data product and service builders are frustrated because the big data system is generic to context. There's no context in there. But by having context in the big data architecture and system you can get products to market much, much, much faster. So, and that seems to be your philosophy but I'm going to jump ahead to my ecosystem question. You've mentioned Databricks a couple of times. There's another partner that you have, which is Snowflake. They're kind of trying to build out their own DataCloud, if you will and GlobalMesh, and the one hand they're a partner on the other hand they're a competitor. How do you sort of balance and square that circle? >> Look, when I see Snowflake, I actually see a partner. When we see essentially we are when you think about Azure now this is where I sort of step back and look at Azure as a whole. And in Azure as a whole, companies like Snowflake are vital in our ecosystem. I mean, there are places we compete, but effectively by helping them build the best Snowflake service on Azure, we essentially are able to differentiate and offer a differentiated value proposition compared to say a Google or an AWS. In fact, that's been our approach with Databricks as well. Where they are effectively on multiple clouds and our opportunity with Databricks is to essentially integrate them in a way where we offer the best experience the best integrations on Azure Berna. That's always been our focus. >> Yeah, it's hard to argue with the strategy or data with our data partner and ETR shows Microsoft is both pervasive and impressively having a lot of momentum spending velocity within the budget cycles. I want to come back to AI a little bit. It's obviously one of the fastest growing areas in our survey data. As I said, clearly Microsoft is a leader in this space. What's your vision of the future of machine intelligence and how Microsoft will participate in that opportunity? >> Yeah, so fundamentally, we've built on decades of research around essentially vision, speech and language. That's been the three core building blocks and for a really focused period of time, we focused on essentially ensuring human parity. So if you ever wonder what the keys to the kingdom are, it's the boat we built in ensuring that the research or posture that we've taken there. What we've then done is essentially a couple of things. We've focused on essentially looking at the spectrum that is AI. Both from saying that, "Hey, listen, "it's got to work for data analysts." We're looking to basically use machine learning techniques to developers who are essentially, coding and building machine learning models from scratch. So for that select proposition manifest to us as really AI focused on all skill levels. The other core thing we've done is that we've also said, "Look, it'll only work as long "as people trust their data "and they can trust their AI models." So there's a tremendous body of work and research we do and things like responsible AI. So if you asked me where we sort of push on is fundamentally to make sure that we never lose sight of the fact that the spectrum of AI can sort of come together for any skill level. And we keep that responsible AI proposition absolutely strong. Now against that canvas Dave, I'll also tell you that as Edge devices get way more capable, where they can input on the Edge, say a camera or a mic or something like that. You will see us pushing a lot more of that capability onto the edge as well. But to me, that's sort of a modality but the core really is all skill levels and that responsibility in AI. >> Yeah, so that brings me to this notion of, I want to bring an Edge and hybrid cloud, understand how you're thinking about hybrid cloud, multicloud obviously one of your competitors Amazon won't even say the word multicloud. You guys have a different approach there but what's the strategy with regard to hybrid? Do you see the cloud, you're bringing Azure to the edge maybe you could talk about that and talk about how you're different from the competition. >> Yeah, I think in the Edge from an Edge and I even I'll be the first one to say that the word Edge itself is conflated. Okay, a little bit it's but I will tell you just focusing on hybrid, this is one of the places where, I would say 2020 if I were to look back from a COVID perspective in particular, it has been the most informative. Because we absolutely saw customers digitizing, moving to the cloud. And we really saw hybrid in action. 2020 was the year that hybrid sort of really became real from a cloud computing perspective. And an example of this is we understood that it's not all or nothing. So sometimes customers want Azure consistency in their data centers. This is where things like Azure Stack comes in. Sometimes they basically come to us and say, "We want the flexibility of adopting "flexible button of platforms let's say containers, "orchestrating Kubernetes "so that we can essentially deploy it wherever you want." And so when we designed things like Arc, it was built for that flexibility in mind. So, here's the beauty of what something like Arc can do for you. If you have a Kubernetes endpoint anywhere, we can deploy an Azure service onto it. That is the promise. Which means, if for some reason the customer says that, "Hey, I've got "this Kubernetes endpoint in AWS. And I love Azure SQL. You will be able to run Azure SQL inside AWS. There's nothing that stops you from doing it. So inherently, remember our first principle is always to meet our customers where they are. So from that perspective, multicloud is here to stay. We are never going to be the people that says, "I'm sorry." We will never say (speaks indistinctly) multicloud but it is a reality for our customers. >> So I wonder if we could close, thank you for that. By looking back and then ahead and I want to put forth, maybe it's a criticism, but maybe not. Maybe it's an art of Microsoft. But first, you did Microsoft an incredible job at transitioning its business. Azure is omnipresent, as we said our data shows that. So two-part question first, Microsoft got there by investing in the cloud, really changing its mindset, I think and leveraging its huge software estate and customer base to put Azure at the center of it's strategy. And many have said, me included, that you got there by creating products that are good enough. We do a one Datto, it's still not that great, then a two Datto and maybe not the best, but acceptable for your customers. And that's allowed you to grow very rapidly expand your market. How do you respond to that? Is that a fair comment? Are you more than good enough? I wonder if you could share your thoughts. >> Dave, you hurt my feelings with that question. >> Don't hate me JG. (both laugh) We're getting it out there all right, so. >> First of all, thank you for asking me that. I am absolutely the biggest cheerleader you'll find at Microsoft. I absolutely believe that I represent the work of almost 9,000 engineers. And we wake up every day worrying about our customer and worrying about the customer condition and to absolutely make sure we deliver the best in the first attempt that we do. So when you take the plethora of products we deliver in Azure, be it Azure SQL, be it Azure Cosmos DB, Synapse, Azure Databricks, which we did in partnership with Databricks, Azure Machine Learning. And recently when we premiered, we sort of offered the world's first comprehensive data governance solution in Azure Purview. I would humbly submit it to you that we are leading the way and we're essentially showing how the future of data, AI and the Edge should work in the cloud. >> Yeah, I'd be disappointed if you capitulated in any way, JG. So, thank you for that. And that's kind of last question is looking forward and how you're thinking about the future of cloud. Last decade, a lot about cloud migration, simplifying infrastructure to management and deployment. SaaSifying My Enterprise, a lot of simplification and cost savings and of course redeployment of resources toward digital transformation, other valuable activities. How do you think this coming decade will be defined? Will it be sort of more of the same or is there something else out there? >> I think that the coming decade will be one where customers start to unlock outsize value out of this. What happened to the last decade where people laid the foundation? And people essentially looked at the world and said, "Look, we've got to make a move. "They're largely hybrid, but you're going to start making "steps to basically digitize and modernize our platforms. I will tell you that with the amount of data that people are moving to the cloud, just as an example, you're going to see use of analytics, AI or business outcomes explode. You're also going to see a huge sort of focus on things like governance. People need to know where the data is, what the data catalog continues, how to govern it, how to trust this data and given all of the privacy and compliance regulations out there essentially their compliance posture. So I think the unlocking of outcomes versus simply, Hey, I've saved money. Second, really putting this comprehensive sort of governance regime in place and then finally security and trust. It's going to be more paramount than ever before. >> Yeah, nobody's going to use the data if they don't trust it, I'm glad you brought up security. It's a topic that is at number one on the CIO list. JG, great conversation. Obviously the strategy is working and thanks so much for participating in Cube on Cloud. >> Thank you, thank you, Dave and I appreciate it and thank you to everybody who's tuning into today. >> All right then keep it right there, I'll be back with our next guest right after this short break.

(upbeat music) >> From the Cube studios in Palo Alto in Boston connecting with thought leaders all around the world. This is the CUBE Conversation. >> Hey everybody this is Dave Vellante and welcome to the special CUBE Conversation. I'm really excited to have Keith Bradley here he's the Vice President of IT at Nature Fresh Farms. Keith good to see you. >> Hey, good to see you too there Dave. >> All right, first of all I got to thank you for sending me these awesome veggies. I got these wonderful peppers. I got red, orange. I got the yellow. I got to tell you Keith these tomatoes almost didn't make it. It's my last one on the vine. >> (Laughs) >> These guys are like candy. It's amazing. >> Yap. They are the tasty thing. >> Wonderful. >> You know what, I'll probably just join you right here now too. I'll have one right here right now and I'll join you right now. >> My kids love these but I'm not bringing them home. And then I got these other grape tomatoes and then I've got these mini pepper poppers that are so sweet. You know which one I'm talking about here. And then we've got the tomatoes on the vine. I mean, it's just unbelievable that you guys are able to do this in a greenhouse. Big cukes, little cukes. Wow. Thank you so much for sending these. Delicious. Really appreciate it. >> Yeah. Well thank you for having them. It's a great little tree and it's something that I know you're going to enjoy. And I love for everybody to have it and there's not a person I haven't seen that hasn't enjoyed our tomatoes and peppers. >> Now tell me more about Nature Fresh Farms. Let's talk about your business I want to spend some time on that. We've got IoT, we got a data lifecycle. All kinds of cool stuff, scanners. Paint a picture for us. >> I like to even go... If you don't mind. I like to even go back to where our roots actually came from. So Peter Quiring, our owner actually was a builder by nature and he was actually back in the year 2000 really wanted to get into the greenhouse because he was a manufacturer. And he built our phase one facility back in 2000 under the concept that he said, "there's computers out there." And Peter will be the first one to say, "I don't know how to use them, "but I know that it can do a lot for us." So even back in 2000, we were starting to experiment with using the computers back then to control the greenhouse, to do much of the functionality. Then he bought it under the concept as our sister company, South Essex Fabricating that he would sell the greenhouse turnkey to somebody else. Well, talking to him and I've been around since about phase two. He basically said, "when I built phase three, "which is our first 32 acre range, I realized that is actually in the pepper business now," and he realized he was a grower and then he fell in love with the industry. And again, kept pushing how we can do things automated? How do we can do things? How do we get more yield, more everything out of what we do? And as a lover of technology he made it a great environment for everybody including the growers to work in and to just do something new. >> Well, I mean the thing that we know that as populations grow we're not getting more land. Okay (laughs). So, you have to get better yield and the answer is not to just pound vegetables with pesticides. So maybe talk about how you guys are different from sort of a conventional farming approach, just in terms of maybe your yield, how you treat the plants, how you're able to pick throughout the year, give us some insight there. >> So basically I'll start with through the lifecycle of a pepper. So it's basically planted at a propagator and then it comes to our facility and it comes in the little white boxes here behind me. And they actually are usually about that tall. They're about a foot tall. Maybe a little more when they come to us. And right from that point in time, we start keeping track of everything. How much we put water, how much water it doesn't take, what nutrients it takes, how much it weighs. We actually weigh the vines to know how much they are in real time. We do everything top to bottom. So we actually control the life cycle of the plant. On top of that, we also look and have a whole bio scout division. So it's a group of people that are starting to use AI to actually look at how the bugs are attacking the plants. And then at the same time, we release a good bug that will eventually die off to kill the bugs that are starting to harm the plant. So it basically allows us to basically do as close to natural way of growing a plant as possible without spraying or doing anything like that at night. It's actually funny 'cause there's a lot pictures out there and you think that a greenhouse, it's going to be wet in here. And actually for the most part, it is dry all the time. Like I'm very hot, it's very dry and it's just how we work. We don't let anything inside. We control everything in that plant's life. And now with our newest range, we even control how much light it gets. So we basically give it light all night too. And even some nights when it's a little days out, not like today, but when it's a little dark out and the sun's not up there, we'll actually make sure it gets more light to get that more yield out of it. So we can grow 24/7 12 months a year. >> Okay Keith. So it sounds like you're using data and AI to really inform you as to nature's best formula for the good bugs, the bad bugs, the lighting to really drive yields and quality. >> Yeah, we analyze, like I said, everything from the edge that we collect, like I said, we have over 2000 sensors out in the greenhouse and we keep expanding it more and more every year to collect everything from the length of the vine, the weight of the vine in real time. And we basically collect it from the day the plant is born to the day that we actually take it all out to be composted. We know how much light it got. Does it need to get light that day? We analyze everything in general and it allows us to take that data back in real time to make it better and to look at the past data to do better again. Like you hear, some times we have actually have a cart going by here now. That data from that cart, we'll go back to our growers and they will know how much weight they got out of that row in the next 15 to 20 minutes. So they can actually look, okay, how did that plant react to the sun, how's tomorrow? Does it need more nutrients? Does it need a little less? They take all that data from the core and make sure it's all accurate and as up to date as possible. >> So Keith, and maybe even you can give us approximations, but so how much acreage do you have? And how much acreage would you need with conventional farming techniques to get the kind of yields and quality that you guys are able to achieve? >> So we own 160 acres of greenhouse that's actually under glass. It's actually 200 acres total of land but what's 160 acres approximately of greenhouse that's actually under glass. 'A' we're always constantly growing. Our demand is up that that's why we grow so fast. Usually you're looking at both 12 to one. So for every foot squared of space, you're looking for equivalent is about 12 feet squared for a conventional farm. That's the general average. Mostly because we can harvest year round, we can continually harvest. We maximize the harvest amount and everything total. >> I'm also interested in your regime, your team. So obviously you're supporting from an IT perspective, but you've got all this AI going on. You've got this data life cycle. So what does the data team look like? >> We're actually... I always laugh though. I like to call our growers are basically data analysts. They're not really part of my IT team, but they basically have learned the role of how to analyze data. So we'll have basically one or two junior growers, per range. So probably about, I'd say about, we have about 10 to 12 junior growers and then one senior grower per whole farm. So probably about three or four senior growers at any one time. But my IT staff is actually about a team of four, five, including myself. And we are always constantly looking at how to improve data and how to automate the process. That's what drives us to do more. And that's where the robots even come in is every time we look at something, it's not even from an IT perspective, but even just from a picking perspective, how do we automate this? How do we do a better tomorrow? How do we continually clean this up? And it just never ends. And every year we look back, okay, it cost us a dollar per meter squared or per foot square for the people down South in America there now. We look at that and how do we do that better next year? How do we do better the next day? And it's a constant looking and it's something we look at refining and now that's why we're going so much into AI 'cause we want to not look at the data and decide what to do. We want the data to tell us what to do. >> You guys are on the cutting edge. I mean this is the future of farming. I wonder if we could talk about the IT, what does the IT group look like in the future of farming? I mean you guys, what's your infrastructure look like? Are you all in the cloud or you can't be in the cloud because this is really an extent of an IoT or an edge use case. Paint a picture of the IT infrastructure for us if you would. >> So the IT infrastructure it's a very large amount at the edge. We take a lot of the information from the edge and we bring it back to our core to do our analyzing. But for the most part, we don't really leverage the cloud much yet and most of it is on-prem. We are starting to experiment with moving out to the cloud. And a lot of it is, you'll laugh though, is because the farming and agriculture industry really was stagnant for a long time and not really stagnant, but just didn't really progress as fast as the rest of the world. So now they're just starting to catch up and realizing, wow, this is a growing industry. We can do a lot of cool things with technology in this range. And now it's just exploded. So I'm going to say in the next five to 10 years, you're going to see a lot more private clouds and things like that happening with us. I know we're right now starting to just look at creating with the VxRail, a private cloud, and a concept like that to start to test that water again of how to analyze and how to do more things onsite and in the cloud and leverage everything top to bottom. >> So you've got your own servers at the edge... So Intel based servers, what's your storage infrastructure look like? Maybe describe the network a little bit. >> Yap. Okay. So we are basically, I'll admit here, we are a Dell factory. We're basically everything top to bottom. Right now we're on an FX2, Dell FX2 platform. It's basically our core platform we've been using for the last five years. It does all of our analitics and stuff like that. And we have just transformed our unstructured data to Isilon. It's been one of the best things for us to clean that up and make things move forward. It was actually one of those things that management actually looked at me and kind of looked at me and said, "what are you nuts?" Because we basically bought our first Isilon and then four months later, I said, "I love this. I got to have more," because everybody loved it so much in the way of store things. So we actually doubled the size of it within four months, which was a great... It was actually very seamless to do, but we're now also in a position where the FX2 in that stage type of situation didn't quite work for us to expand it. It wasn't as easy to expand. So we wanted to get away that we could expand at a moment's notice. We can change, we can scale out much faster and do things easier. So that's why we're transforming to a VxRail to basically clean that up and allow us to expand as we grow. >> So you're essentially trying to replicate the agility and speed of the cloud but like you say, you're an edge use case. So you can't do everything in cloud. Is that the right way to think about it? You mentioned private cloud but just sort of cloud experience, but at the edge. >> Yeah. We try to keep everything at the edge. It just makes it a lot easier to control. Because we're so big. Think about it like you are bringing all this information back from everywhere. It's a lot of data to come back to one spot. So we're trying to push that more, to keep it at the edge so that we can analyze it right there in the moment instead of having to come back and do it but yeah. And I think you'll see in the next few years, a lot of change to the cloud, I think it'll start to be there, but again, like I said, the private cloud will probably be the way most will go. >> Okay. So I got to ask you then, I mean, you've really tested that agility over the last 60 days with this COVID pandemic. How were you able to respond? What role did data play? You had supply chain considerations. Obviously, you got a lot of online ordering going on. You got to get produce out. You've got social distancing. How were you able to handle that crisis? >> Well it was a really great thing for our team. Our team really came together in a great way. We had a lot of people that did have to go home and we started because we had so many ranges all over, already about a year and a half ago we started implementing an SD-WAN solution to allow us to connect to different areas and to do all kinds of stuff. So it was actually very quick for us to be able to send the others home. We used our VeloCloud SD-WAN to expand it. It was very seamless and we just started sending people home left, right and center. The staff that had to stay here, like the workers out in the greenhouse here now are offshore labor as we call it. They work great. They worked with at every moment of the day and they dug right in. We haven't lost heartbeat. Like actually our orders have gone up in the last... Through this COVID experience more than anything else. And it's really learned... It really helped from an IT perspective and I laugh about this and it's one of the greatest things about what I do, I love this moment, is where sometimes we were very hesitant to jump on this video collaboration. I said, "hey, that's a great way of doing this." But sometimes people they're very stuck in their ways and they love it and they're like, "I don't know about this whole team Zoom "and all that fun stuff," but because of this, they've now embraced it and it's actually really changed the way even they've worked. So in a way, it kind of sped up the processes of us becoming more agile that way in a way that would've taken a long time. They now love teams. They love being able to communicate that way. They love being able to just do a quick call. All that functionality has changed and even made us more efficient that way. (mumbles) >> How does this all affect your IT budget allocation? Did you get more budget? Was it flat budget? Did you have to shift budget to sort of work from home and securing the remote workers? Can you sort of describe that dynamic? >> So it did, I'll be true, there's no way around it to not up my budge. They basically said, "yep, "you have to do what you have to do. "We have to continue to function, "we cannot let our greenhouse go down "and what do you need to do to make it happen?" So I quickly contacted Dell and got things coming and improve our infrastructure as much as we could to get ready. I contacted (mumbles). I basically made it so that my team can support every single part of our facet from home if they actually had to go home. So for example, if I had to get stuck at home, I could do every single part of my job from home, including the growers as much as possible. So say our senior grower had to get home. I locked him up. He has to be able to see everything and do everything. So we actually expanded that very quickly and it was a cost to us. But again, there's no technology we didn't implement that we hadn't talked about before. We just hadn't said, "you know what? It's just not the right time to try that." And now we just went ahead and we just said, we got to do it now. And there's not one part of our aspect that we don't reuse. >> Was Dell able to deliver? Did they have supply constraint issues? I mean, I know there's been huge demand for that whole remote worker. Were able to get what you needed in time? >> Yeah. You know what, I think that we hit it a little ahead of the scope of when things started to go bad, our senior management, our president and all that. He basically said, "you know Keith, "we got to get ready on this. "We got to get some stuff coming." We never ran out of some things. The quirkiest thing and it is just a reality, the biggest thing was webcams was to kind of trying to get webcams. Other than that, there was issues with UPS and Purolator and FedEx because they were just inundated too. But for the most part, we kept everything moving. There wasn't a time that I was actually really waiting on something that we had to have. One of the other great things of our senior team that's here is they've really given me the latitude to say, "what do you need and how do you need to do it?" And so I have my own basically storage area of stuff everywhere. And my team does laugh at me 'cause they call me a hoarder and I basically have too much. And we were able to use either some older stuff or some newer stuff and combine it and we got everything running. There was only a little hiccups here and there but nothing ever is going to go perfect. >> Yeah. But it's enabling business results. We've asked a lot of it pros like yourself like what do you expect the shape of the recovery? And obviously our hearts go out to those small businesses that have been decimated. You're clearly seeing industries like airlines and hospitality and restaurants are obviously in rough shape, but there is a bifurcated story here. Some businesses and it sounds like in this camp where the pandemic was actually a tailwind, your online demand is up, food, vegetables, people... There were a lot of meat shortages. So people really turn to vegetables, is that right? Is that the shape of the recovery actually, is maybe not even V-shape, it's been a tailwind for Nature Fresh Farms. >> Yeah. You know what? It has been a tailwind and that's the right way to say it. We've just increased our yieldage. We've increased that, it's not unnew for us, that's been the biggest driving force for us is basically the demand for our product and building fast enough to keep up to that demand. Like we continually build and expand. We've got more ranges being built in the coming years like looking towards the 21, 22, 23 year. It's just going to just continue to expand and that is purely because of demand. And this COVID just again, escalated that little bit 'cause everybody's like, I really want the peppers and like you learned, we actually do have some tasty peppers and tomatoes. So it does make it a nice little treat to have at home for the kids. >> Well, it's an amazing story of tech meets farming. And as you said for years your industry kind of became quiet when it came to tech, but this is the future of farming, in my opinion. And Keith, thanks so much for coming on the CUBE and sharing the story of Nature Fresh Farms. >> Well, thank you for having me. It's been a great pleasure. >> Alright. Thank you for watching everybody this is Dave Vellante for the CUBE and we'll see you next time. (upbeat music)

(upbeat music) >> From the Cube studios in Palo Alto in Boston connecting with thought leaders all around the world. This is the CUBE Conversation. >> Hey everybody this is Dave Vellante and welcome to the special CUBE Conversation. I'm really excited to have Keith Bradley here he's the Vice President of IT at Nature Fresh Farms. Keith good to see you. >> Hey, good to see you too there Dave. >> All right, first of all I got to thank you for sending me these awesome veggies. I got these wonderful peppers. I got red, orange. I got the yellow. I got to tell you Keith these tomatoes almost didn't make it. It's my last one on the vine. >> (Laughs) >> These guys are like candy. It's amazing. >> Yap. They are the tasty thing. >> Wonderful. >> You know what, I'll probably just join you right here now too. I'll have one right here right now and I'll join you right now. >> My kids love these but I'm not bringing them home. And then I got these other grape tomatoes and then I've got these mini pepper poppers that are so sweet. You know which one I'm talking about here. And then we've got the tomatoes on the vine. I mean, it's just unbelievable that you guys are able to do this in a greenhouse. Big cukes, little cukes. Wow. Thank you so much for sending these. Delicious. Really appreciate it. >> Yeah. Well thank you for having them. It's a great little tree and it's something that I know you're going to enjoy. And I love for everybody to have it and there's not a person I haven't seen that hasn't enjoyed our tomatoes and peppers. >> Now tell me more about Nature Fresh Farms. Let's talk about your business I want to spend some time on that. We've got IoT, we got a data lifecycle. All kinds of cool stuff, scanners. Paint a picture for us. >> I like to even go... If you don't mind. I like to even go back to where our roots actually came from. So Peter Quiring, our owner actually was a builder by nature and he was actually back in the year 2000 really wanted to get into the greenhouse because he was a manufacturer. And he built our phase one facility back in 2000 under the concept that he said, "there's computers out there." And Peter will be the first one to say, "I don't know how to use them, "but I know that it can do a lot for us." So even back in 2000, we were starting to experiment with using the computers back then to control the greenhouse, to do much of the functionality. Then he bought it under the concept as our sister company, South Essex Fabricating that he would sell the greenhouse turnkey to somebody else. Well, talking to him and I've been around since about phase two. He basically said, "when I built phase three, "which is our first 32 acre range, I realized that is actually in the pepper business now," and he realized he was a grower and then he fell in love with the industry. And again, kept pushing how we can do things automated? How do we can do things? How do we get more yield, more everything out of what we do? And as a lover of technology he made it a great environment for everybody including the growers to work in and to just do something new. >> Well, I mean the thing that we know that as populations grow we're not getting more land. Okay (laughs). So, you have to get better yield and the answer is not to just pound vegetables with pesticides. So maybe talk about how you guys are different from sort of a conventional farming approach, just in terms of maybe your yield, how you treat the plants, how you're able to pick throughout the year, give us some insight there. >> So basically I'll start with through the lifecycle of a pepper. So it's basically planted at a propagator and then it comes to our facility and it comes in the little white boxes here behind me. And they actually are usually about that tall. They're about a foot tall. Maybe a little more when they come to us. And right from that point in time, we start keeping track of everything. How much we put water, how much water it doesn't take, what nutrients it takes, how much it weighs. We actually weigh the vines to know how much they are in real time. We do everything top to bottom. So we actually control the life cycle of the plant. On top of that, we also look and have a whole bio scout division. So it's a group of people that are starting to use AI to actually look at how the bugs are attacking the plants. And then at the same time, we release a good bug that will eventually die off to kill the bugs that are starting to harm the plant. So it basically allows us to basically do as close to natural way of growing a plant as possible without spraying or doing anything like that at night. It's actually funny 'cause there's a lot pictures out there and you think that a greenhouse, it's going to be wet in here. And actually for the most part, it is dry all the time. Like I'm very hot, it's very dry and it's just how we work. We don't let anything inside. We control everything in that plant's life. And now with our newest range, we even control how much light it gets. So we basically give it light all night too. And even some nights when it's a little days out, not like today, but when it's a little dark out and the sun's not up there, we'll actually make sure it gets more light to get that more yield out of it. So we can grow 24/7 12 months a year. >> Okay Keith. So it sounds like you're using data and AI to really inform you as to nature's best formula for the good bugs, the bad bugs, the lighting to really drive yields and quality. >> Yeah, we analyze, like I said, everything from the edge that we collect, like I said, we have over 2000 sensors out in the greenhouse and we keep expanding it more and more every year to collect everything from the length of the vine, the weight of the vine in real time. And we basically collect it from the day the plant is born to the day that we actually take it all out to be composted. We know how much light it got. Does it need to get light that day? We analyze everything in general and it allows us to take that data back in real time to make it better and to look at the past data to do better again. Like you hear, some times we have actually have a cart going by here now. That data from that cart, we'll go back to our growers and they will know how much weight they got out of that row in the next 15 to 20 minutes. So they can actually look, okay, how did that plant react to the sun, how's tomorrow? Does it need more nutrients? Does it need a little less? They take all that data from the core and make sure it's all accurate and as up to date as possible. >> So Keith, and maybe even you can give us approximations, but so how much acreage do you have? And how much acreage would you need with conventional farming techniques to get the kind of yields and quality that you guys are able to achieve? >> So we own 160 acres of greenhouse that's actually under glass. It's actually 200 acres total of land but what's 160 acres approximately of greenhouse that's actually under glass. 'A' we're always constantly growing. Our demand is up that that's why we grow so fast. Usually you're looking at both 12 to one. So for every foot squared of space, you're looking for equivalent is about 12 feet squared for a conventional farm. That's the general average. Mostly because we can harvest year round, we can continually harvest. We maximize the harvest amount and everything total. >> I'm also interested in your regime, your team. So obviously you're supporting from an IT perspective, but you've got all this AI going on. You've got this data life cycle. So what does the data team look like? >> We're actually... I always laugh though. I like to call our growers are basically data analysts. They're not really part of my IT team, but they basically have learned the role of how to analyze data. So we'll have basically one or two junior growers, per range. So probably about, I'd say about, we have about 10 to 12 junior growers and then one senior grower per whole farm. So probably about three or four senior growers at any one time. But my IT staff is actually about a team of four, five, including myself. And we are always constantly looking at how to improve data and how to automate the process. That's what drives us to do more. And that's where the robots even come in is every time we look at something, it's not even from an IT perspective, but even just from a picking perspective, how do we automate this? How do we do a better tomorrow? How do we continually clean this up? And it just never ends. And every year we look back, okay, it cost us a dollar per meter squared or per foot square for the people down South in America there now. We look at that and how do we do that better next year? How do we do better the next day? And it's a constant looking and it's something we look at refining and now that's why we're going so much into AI 'cause we want to not look at the data and decide what to do. We want the data to tell us what to do. >> You guys are on the cutting edge. I mean this is the future of farming. I wonder if we could talk about the IT, what does the IT group look like in the future of farming? I mean you guys, what's your infrastructure look like? Are you all in the cloud or you can't be in the cloud because this is really an extent of an IoT or an edge use case. Paint a picture of the IT infrastructure for us if you would. >> So the IT infrastructure it's a very large amount at the edge. We take a lot of the information from the edge and we bring it back to our core to do our analyzing. But for the most part, we don't really leverage the cloud much yet and most of it is on-prem. We are starting to experiment with moving out to the cloud. And a lot of it is, you'll laugh though, is because the farming and agriculture industry really was stagnant for a long time and not really stagnant, but just didn't really progress as fast as the rest of the world. So now they're just starting to catch up and realizing, wow, this is a growing industry. We can do a lot of cool things with technology in this range. And now it's just exploded. So I'm going to say in the next five to 10 years, you're going to see a lot more private clouds and things like that happening with us. I know we're right now starting to just look at creating with the VxRail, a private cloud, and a concept like that to start to test that water again of how to analyze and how to do more things onsite and in the cloud and leverage everything top to bottom. >> So you've got your own servers at the edge... So Intel based servers, what's your storage infrastructure look like? Maybe describe the network a little bit. >> Yap. Okay. So we are basically, I'll admit here, we are a Dell factory. We're basically everything top to bottom. Right now we're on an FX2, Dell FX2 platform. It's basically our core platform we've been using for the last five years. It does all of our analitics and stuff like that. And we have just transformed our unstructured data to Isilon. It's been one of the best things for us to clean that up and make things move forward. It was actually one of those things that management actually looked at me and kind of looked at me and said, "what are you nuts?" Because we basically bought our first Isilon and then four months later, I said, "I love this. I got to have more," because everybody loved it so much in the way of store things. So we actually doubled the size of it within four months, which was a great... It was actually very seamless to do, but we're now also in a position where the FX2 in that stage type of situation didn't quite work for us to expand it. It wasn't as easy to expand. So we wanted to get away that we could expand at a moment's notice. We can change, we can scale out much faster and do things easier. So that's why we're transforming to a VxRail to basically clean that up and allow us to expand as we grow. >> So you're essentially trying to replicate the agility and speed of the cloud but like you say, you're an edge use case. So you can't do everything in cloud. Is that the right way to think about it? You mentioned private cloud but just sort of cloud experience, but at the edge. >> Yeah. We try to keep everything at the edge. It just makes it a lot easier to control. Because we're so big. Think about it like you are bringing all this information back from everywhere. It's a lot of data to come back to one spot. So we're trying to push that more, to keep it at the edge so that we can analyze it right there in the moment instead of having to come back and do it but yeah. And I think you'll see in the next few years, a lot of change to the cloud, I think it'll start to be there, but again, like I said, the private cloud will probably be the way most will go. >> Okay. So I got to ask you then, I mean, you've really tested that agility over the last 60 days with this COVID pandemic. How were you able to respond? What role did data play? You had supply chain considerations. Obviously, you got a lot of online ordering going on. You got to get produce out. You've got social distancing. How were you able to handle that crisis? >> Well it was a really great thing for our team. Our team really came together in a great way. We had a lot of people that did have to go home and we started because we had so many ranges all over, already about a year and a half ago we started implementing an SD-WAN solution to allow us to connect to different areas and to do all kinds of stuff. So it was actually very quick for us to be able to send the others home. We used our VeloCloud SD-WAN to expand it. It was very seamless and we just started sending people home left, right and center. The staff that had to stay here, like the workers out in the greenhouse here now are offshore labor as we call it. They work great. They worked with at every moment of the day and they dug right in. We haven't lost heartbeat. Like actually our orders have gone up in the last... Through this COVID experience more than anything else. And it's really learned... It really helped from an IT perspective and I laugh about this and it's one of the greatest things about what I do, I love this moment, is where sometimes we were very hesitant to jump on this video collaboration. I said, "hey, that's a great way of doing this." But sometimes people they're very stuck in their ways and they love it and they're like, "I don't know about this whole team Zoom "and all that fun stuff," but because of this, they've now embraced it and it's actually really changed the way even they've worked. So in a way, it kind of sped up the processes of us becoming more agile that way in a way that would've taken a long time. They now love teams. They love being able to communicate that way. They love being able to just do a quick call. All that functionality has changed and even made us more efficient that way. (mumbles) >> How does this all affect your IT budget allocation? Did you get more budget? Was it flat budget? Did you have to shift budget to sort of work from home and securing the remote workers? Can you sort of describe that dynamic? >> So it did, I'll be true, there's no way around it to not up my budge. They basically said, "yep, "you have to do what you have to do. "We have to continue to function, "we cannot let our greenhouse go down "and what do you need to do to make it happen?" So I quickly contacted Dell and got things coming and improve our infrastructure as much as we could to get ready. I contacted (mumbles). I basically made it so that my team can support every single part of our facet from home if they actually had to go home. So for example, if I had to get stuck at home, I could do every single part of my job from home, including the growers as much as possible. So say our senior grower had to get home. I locked him up. He has to be able to see everything and do everything. So we actually expanded that very quickly and it was a cost to us. But again, there's no technology we didn't implement that we hadn't talked about before. We just hadn't said, "you know what? It's just not the right time to try that." And now we just went ahead and we just said, we got to do it now. And there's not one part of our aspect that we don't reuse. >> Was Dell able to deliver? Did they have supply constraint issues? I mean, I know there's been huge demand for that whole remote worker. Were able to get what you needed in time? >> Yeah. You know what, I think that we hit it a little ahead of the scope of when things started to go bad, our senior management, our president and all that. He basically said, "you know Keith, "we got to get ready on this. "We got to get some stuff coming." We never ran out of some things. The quirkiest thing and it is just a reality, the biggest thing was webcams was to kind of trying to get webcams. Other than that, there was issues with UPS and Purolator and FedEx because they were just inundated too. But for the most part, we kept everything moving. There wasn't a time that I was actually really waiting on something that we had to have. One of the other great things of our senior team that's here is they've really given me the latitude to say, "what do you need and how do you need to do it?" And so I have my own basically storage area of stuff everywhere. And my team does laugh at me 'cause they call me a hoarder and I basically have too much. And we were able to use either some older stuff or some newer stuff and combine it and we got everything running. There was only a little hiccups here and there but nothing ever is going to go perfect. >> Yeah. But it's enabling business results. We've asked a lot of it pros like yourself like what do you expect the shape of the recovery? And obviously our hearts go out to those small businesses that have been decimated. You're clearly seeing industries like airlines and hospitality and restaurants are obviously in rough shape, but there is a bifurcated story here. Some businesses and it sounds like in this camp where the pandemic was actually a tailwind, your online demand is up, food, vegetables, people... There were a lot of meat shortages. So people really turn to vegetables, is that right? Is that the shape of the recovery actually, is maybe not even V-shape, it's been a tailwind for Nature Fresh Farms. >> Yeah. You know what? It has been a tailwind and that's the right way to say it. We've just increased our yieldage. We've increased that, it's not unnew for us, that's been the biggest driving force for us is basically the demand for our product and building fast enough to keep up to that demand. Like we continually build and expand. We've got more ranges being built in the coming years like looking towards the 21, 22, 23 year. It's just going to just continue to expand and that is purely because of demand. And this COVID just again, escalated that little bit 'cause everybody's like, I really want the peppers and like you learned, we actually do have some tasty peppers and tomatoes. So it does make it a nice little treat to have at home for the kids. >> Well, it's an amazing story of tech meets farming. And as you said for years your industry kind of became quiet when it came to tech, but this is the future of farming, in my opinion. And Keith, thanks so much for coming on the CUBE and sharing the story of Nature Fresh Farms. >> Well, thank you for having me. It's been a great pleasure. >> Alright. Thank you for watching everybody this is Dave Vellante for the CUBE and we'll see you next time. (upbeat music)

(upbeat music) >> Announcer: From San Francisco, it's theCUBE. Covering Accenture Tech Vision 2020. Brought to you by Accenture. >> Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're at the Accenture San Francisco Innovation Hub on the 33rd floor of the Sales Force Tower in downtown San Francisco. It's 2020, the year we know everything with the benefit of hindsight. And what better way to kick off the year than to have the Accenture Tech Vision reveal, which is happening later tonight, so we're really happy to have one of the authors who's really driving the whole thing. He's Michael Blitz, the managing director of the Accenture Tech Vision 2020, a very special edition. Michael, great to see you. >> Hey, thanks for having me. >> Absolutely, so you've been doing this for a while. I think we heard earlier, this thing's been going on for 20 years? >> It is. >> You've been involved for at least the last eight. >> Michael: I think a little bit more than that. >> More than that, so what's kind of the big theme before we get into some of the individual items? >> Yeah, so I mean, I think right now, what we're really talking about is that our real big theme is this: We the digital people. And it's that recognition that says that we've fundamentally changed. When you start looking at yourself and your lives, it's that you've gotten to a point where you're letting your cell phone track you. Your car knows where you are probably better than your spouse does. You're handing your key to Amazon and Walmart so they can deliver packages in your house. And more than that is that actually, we're trying to start to revolve our lives around this technology. I look at my own life, and we just sold our second car, specifically because we know that Uber and Lyft exist to fill that void. >> Right, well you don't have to look much further than phone numbers. How many people remember anybody's phone number anymore, right, 'cause you don't really have to. I think it's the 15th anniversary of Google Maps. >> Michael: Yep. >> This year, and to think of a world without Google Maps, without that kind of instant access to knowledge, is really hard to even fathom. But as you said, we're making trade-offs when we use all these services, and now, some of the costs of those things are being maybe more exposed? Maybe more cute or in your face? I don't know, what would you say? >> Yeah, I mean, I think what's happening now is that what we're realizing is that it's changed our relationship with companies. Is that suddenly we've actually brought them into our lives. And, on one hand, they're offering and have the ability to offer services that you could never really do before. But on the other hand is that, if I'm going to let somebody in my life, suddenly they don't have to just provide me value and this is useful, is that they actually, people are expecting them to retain their values, too. So, how they protect your data, what they're good for the community, for the environment, for society, whether it's sustainable or not. Is that suddenly, whereas people used to only care about what the product you're getting, now how it's built and how your company's being run is starting, it's just starting to become important, too. >> Right, well it's funny, 'cause you used to talk about kind of triple bottom line, shareholders, customers and your employees. And you talked about, really, this kind of fourth line, which is community and really being involved in the community. People care, suddenly you go to conferences where we spend a lot of time all the utensils are now compostable and the forks are compostable. And a lot of the individual packaging stuff is going away. So people do care. >> They do, and there's a fourth and a fifth. It says that your community cares, but your partners do, too. Is that you can't, I'm going to say, downgrade the idea that your B2B folks care is that suddenly, we're finding ourselves tied to these other companies, and not just in a supply chain, but from everything. And so, you're not in this alone in terms of how you're delivering these things. But now it's becoming a matter that says, Well, man, if my partners are going to get pummeled because they're not doing the right thing or they don't have that broad scope, that's going to reflect on me, too. And so, now you're suddenly in this interesting position where all of the things that we suspected were going to happen around digital connecting everybody is just starting to, and I think that's going to have a lot of positive effects. >> Yeah, so one of the things you talked about earlier today, in an earlier presentation was kind of the shift from kind of buyer and seller, seller and consumer, to provider and collaborator. Really kind of reflecting a very different kind of a relationship between the parties as opposed to this one-shot transactional relationship. >> No, and that's right, and it doesn't matter who you're talking about, is that, if you're hiring folks for skills that you're assuming that they're going to learn, that's going to be different in three years, in five years, you're essentially partnering with them in order to take all of you on a journey. When you start talking about governments, is that you're now partnering with regulators. You look at companies like Tesla, who are working on regulations for electric cars, they're working on regulations around battery technology. And you see that this go-it-alone approach isn't what you're doing. Rather, it's becoming much more holistic. >> Right, so we're in the innovation hub, and I think number five of the five is really about innovation today. >> Michael: It is. >> And you guys are driving innovation. And, rest in peace, Clayton Christensen passed away, Innovator's Dilemma, my all-time favorite book. But the thing I love about that book is that smart people making sound decisions based on business logic and taking care of existing customers will always miss discontinuous change. But you guys are really trying to help big companies be innovative. What are some of the things that they should be thinking about, besides, obviously, engaging with Mary and the team here at Innovation Hub? >> Yeah, no, and that's the really interesting thing is that when we talked about innovation, you know, five or even 10 years ago, you were talking about, just: How do I find a new product or a new service to bring to market? And now, that's the minimum stakes. Like, that's what everybody's doing. And I think what we're realizing as we're seeing tech become such a big part is that we all see how it's affecting the world. And a lot of times that things are good is that there's no reason why you wouldn't look at somebody like a Lyft or Uber and say that it's had a lot of positive effects. But from the same standpoint is that, you ask questions of: Is it good for public transit? It is good for city infrastructure? And those are hard questions to ask. And I think where we're really pushing now is that question that says: We've got an entire generation of not-tech companies, but every company that's about to get into this innovation game, and what we want them to do is to look at this not the way that the tech folks did, that says, here's one service or one technology, but rather, look at it holistically that says: How am I actually going to implement this, and what is the real effects that it's going to have on all of these different aspects? >> Right, Law of Unintended Consequences is always a good one. >> Michael: It is. >> And I remember hearing years ago of this concept of curb management. I'm like, Curb management, who ever thought of that? Well, drive up and down in Manhattan when they're delivering groceries or delivering Amazon packages and FedEx packages and UberEats and delivery dog food now. Where is that stuff being staged now that the warehouse has kind of shifted out into the public space? So, you never kind of really know where these things are going to end up. >> No, and I'm not saying that we're going to be able to predict all of it. I think, rather, it's that starting point that says that we're starting to see a big push that says that these things need to be factored and considered. And then, similarly, it's the, if you're working with them up-front, it becomes less of a fault, on a fight of whose fault it is at the end, and it becomes more of a collaboration that says, How much more can we do if we're working with our cities, if we're working with our employees, if we're working with our customers? >> Right, now another follow up, you guys've been talking about this for years, is every company is a tech company or a digital company, depending on how you want to spin that. But as you were talking about it earlier today, in doing so and in converting from products to service, and converting from an ongoing relationship to a one-time transaction, it's not only at that point of touch with a customer, but you've got to make a bunch of fundamental changes back in your own systems to support kind of this changing business model. >> Now, and that's right, and I think this is going to become the big challenge of the generation, is that we've gotten to a point where just using their existing models for how you interact with your customers or how you protect their data or who owns the data, all of these types of things, is that they were designed back when we were doing single applications, and they were loading up on your Windows PC. And where we're at now is that we're starting to ask questions that says, All right, in this new world, what do I have to fundamentally do differently? And sometimes that can be as simple as asking a question that says, you know, there's a consortium of pharma folks who have created a joint way for them to develop all of their search algorithms for new drugs. But they're using block chain, and so they're not actually sharing the data. So they do all the good things, but they're pushing that up. But fundamentally, that's a different way to think about it. You're now creating an entirely new infrastructure because what you're used to is just handing somebody the data, and what they do with the data afterwards is kind of their issue and not yours. And so now we're asking big, new questions to do it. >> Right, another big thing that keeps coming up over and over is trust. And again, we talked a little earlier. But I find this really ironic situation where people don't necessarily trust the companies in terms of the people running the companies and what they're going to do with their data, but they fundamentally trust the technology coming out of the gate and this expectation of: Of course it works, everything works on my mobile phone. But the two are related, but not equal. >> Michael: No, I mean, they're not, I mean, and it's really pushing this idea that says we've been looking at all these, I'm going to say scary headlines, of people not trusting companies for the last number of years, while at the same time, the adoption for the technology has been huge. So there's this dichotomy that's going on in people, where at one point, they like the tech. You know, I think the last stat I saw is that everybody spends up to six-and-a-half hours a day involved on the internet, in their technology. But from the same standpoint is that they worry about who's using it and how and what is going to be done. And I think where we're at is that interesting piece that says we're not worried about a tech lash. We don't think that people are going to stop using technology. Rather, we think it's really this tech clash that says they're not getting the value that they thought out of it, or they're seeing companies that may be using this technologies that don't share the same values that they do, and really, what we think this becomes, is the next opportunity for the next generations of service providers in order to fill that gap. >> Right, yeah, don't forget there was a Friendster and a MySpace before there was a Facebook. >> Yeah, there was. >> So, nothing lasts forever. So, last question before I let you go, it's a busy night. The first one was the I in experience, and I think kind of the user experience doesn't get enough light as to such a defining thing that does move the market if, again, I love to pick on Uber, but the Uber experience compared to walking outside on a rainy day in Manhattan and hoping to hail down a cab is fundamentally different, and I would argue, that it's that technology put together in this user experience that defined this kind of game-changing event, as opposed to it's a bunch of APIs stitching stuff together in the back. >> No, that's right, and I think where we're at right now is that we're about to see the next leap beyond that. Is that, most of the time when we look at the experiences that we're doing today, they're one way. Is that people assume that, Yeah, I have your data, I'm trying to customize. And whether it's an ad or a buying experience or whatever, but they're pushing it as this one-way street, and when we talk about putting the I back in experience, it's that question of the next step to really get people both more engaged as well as to, I'm going to say improve the experience itself, means that it's going to become a partnership. So you're actually going to start looking for input back and forth, and it's sometimes going to be as simple as saying that that ad that they're pushing out is for a product that I've already bought. Or, you know, maybe even just tell me how you knew that that's what I was looking for. But it's sometimes that little things, the back and forth, is how you take something from, what can be a mediocre experience, even potentially a negative one, and really turn it into something that people like. >> Yeah, well, Michael, I'll let you go. I know you got a busy night, we're going to present this. And really thankful to you and the team, and congratulations for coming up with something that's a little bit more provocative than, Cloud's going to be big, or Mobile's going to be big, or Edge is going to be big. So this is great material, and thanks for having us back. Look forward to tonight. >> No, happy to do it, and next year we'll probably do it again. >> [Jeff\ I don't know, we already know everything, it's 2020, what else is unknown? >> Everything's going to change. >> All right, thanks again. (upbeat music)