>> From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from The Cube and ETR. This is "Breaking Analysis" with Dave Vellante. >> The world's leading telcos are trying to shed the stigma of being monopolies lacking innovation. Telcos have been great at operational efficiency and connectivity and living off of transmission, and the costs and expenses or revenue associated with that transmission. But in a world beyond telephone poles and basic wireless and mobile services, how will telcos modernize and become more agile and monetize new opportunities brought about by 5G and private wireless and a spate of new innovations and infrastructure, cloud data and apps? Hello, and welcome to this week's Wikibon CUBE Insights powered by ETR. In this breaking analysis and ahead of Mobile World Congress or now, MWC23, we explore the evolution of the telco business and how the industry is in many ways, mimicking transformations that took place decades ago in enterprise IT. We'll model some of the traditional enterprise vendors using ETR data and investigate how they're faring in the telecommunications sector, and we'll pose some of the key issues facing the industry this decade. First, let's take a look at what the GSMA has in store for MWC23. GSMA is the host of what used to be called Mobile World Congress. They've set the theme for this year's event as "Velocity" and they've rebranded MWC to reflect the fact that mobile technology is only one part of the story. MWC has become one of the world's premier events highlighting innovations not only in Telco, mobile and 5G, but the collision between cloud, infrastructure, apps, private networks, smart industries, machine intelligence, and AI, and more. MWC comprises an enormous ecosystem of service providers, technology companies, and firms from virtually every industry including sports and entertainment. And as well, GSMA, along with its venue partner at the Fira Barcelona, have placed a major emphasis on sustainability and public and private partnerships. Virtually every industry will be represented at the event because every industry is impacted by the trends and opportunities in this space. GSMA has said it expects 80,000 attendees at MWC this year, not quite back to 2019 levels, but trending in that direction. Of course, attendance from Chinese participants has historically been very high at the show, and obviously the continued travel issues from that region are affecting the overall attendance, but still very strong. And despite these concerns, Huawei, the giant Chinese technology company. has the largest physical presence of any exhibitor at the show. And finally, GSMA estimates that more than $300 million in economic benefit will result from the event which takes place at the end of February and early March. And The Cube will be back at MWC this year with a major presence thanks to our anchor sponsor, Dell Technologies and other supporters of our content program, including Enterprise Web, ArcaOS, VMware, Snowflake, Cisco, AWS, and others. And one of the areas we're interested in exploring is the evolution of the telco stack. It's a topic that's often talked about and one that we've observed taking place in the 1990s when the vertically integrated IBM mainframe monopoly gave way to a disintegrated and horizontal industry structure. And in many ways, the same thing is happening today in telecommunications, which is shown on the left-hand side of this diagram. Historically, telcos have relied on a hardened, integrated, and incredibly reliable, and secure set of hardware and software services that have been fully vetted and tested, and certified, and relied upon for decades. And at the top of that stack on the left are the crown jewels of the telco stack, the operational support systems and the business support systems. For the OSS, we're talking about things like network management, network operations, service delivery, quality of service, fulfillment assurance, and things like that. For the BSS systems, these refer to customer-facing elements of the stack, like revenue, order management, what products they sell, billing, and customer service. And what we're seeing is telcos have been really good at operational efficiency and making money off of transport and connectivity, but they've lacked the innovation in services and applications. They own the pipes and that works well, but others, be the over-the-top content companies, or private network providers and increasingly, cloud providers have been able to bypass the telcos, reach around them, if you will, and drive innovation. And so, the right-most diagram speaks to the need to disaggregate pieces of the stack. And while the similarities to the 1990s in enterprise IT are greater than the differences, there are things that are different. For example, the granularity of hardware infrastructure will not likely be as high where competition occurred back in the 90s at every layer of the value chain with very little infrastructure integration. That of course changed in the 2010s with converged infrastructure and hyper-converged and also software defined. So, that's one difference. And the advent of cloud, containers, microservices, and AI, none of that was really a major factor in the disintegration of legacy IT. And that probably means that disruptors can move even faster than did the likes of Intel and Microsoft, Oracle, Cisco, and the Seagates of the 1990s. As well, while many of the products and services will come from traditional enterprise IT names like Dell, HPE, Cisco, Red Hat, VMware, AWS, Microsoft, Google, et cetera, many of the names are going to be different and come from traditional network equipment providers. These are names like Ericsson and Huawei, and Nokia, and other names, like Wind River, and Rakuten, and Dish Networks. And there are enormous opportunities in data to help telecom companies and their competitors go beyond telemetry data into more advanced analytics and data monetization. There's also going to be an entirely new set of apps based on the workloads and use cases ranging from hospitals, sports arenas, race tracks, shipping ports, you name it. Virtually every vertical will participate in this transformation as the industry evolves its focus toward innovation, agility, and open ecosystems. Now remember, this is not a binary state. There are going to be greenfield companies disrupting the apple cart, but the incumbent telcos are going to have to continue to ensure newer systems work with their legacy infrastructure, in their OSS and BSS existing systems. And as we know, this is not going to be an overnight task. Integration is a difficult thing, transformations, migrations. So that's what makes this all so interesting because others can come in with Greenfield and potentially disrupt. There'll be interesting partnerships and ecosystems will form and coalitions will also form. Now, we mentioned that several traditional enterprise companies are or will be playing in this space. Now, ETR doesn't have a ton of data on specific telecom equipment and software providers, but it does have some interesting data that we cut for this breaking analysis. What we're showing here in this graphic is some of the names that we've followed over the years and how they're faring. Specifically, we did the cut within the telco sector. So the Y-axis here shows net score or spending velocity. And the horizontal axis, that shows the presence or pervasiveness in the data set. And that table insert in the upper left, that informs as to how the dots are plotted. You know, the two columns there, net score and the ends. And that red-dotted line, that horizontal line at 40%, that is an indicator of a highly elevated level. Anything above that, we consider quite outstanding. And what we'll do now is we'll comment on some of the cohorts and share with you how they're doing in telecommunications, and that sector, that vertical relative to their position overall in the data set. Let's start with the public cloud players. They're prominent in every industry. Telcos, telecommunications is no exception and it's quite an interesting cohort here. On the one hand, they can help telecommunication firms modernize and become more agile by eliminating the heavy lifting and you know, all the cloud, you know, value prop, data center costs, and the cloud benefits. At the same time, public cloud players are bringing their services to the edge, building out their own global networks and are a disruptive force to traditional telcos. All right, let's talk about Azure first. Their net score is basically identical to telco relative to its overall average. AWS's net score is higher in telco by just a few percentage points. Google Cloud platform is eight percentage points higher in telco with a 53% net score. So all three hyperscalers have an equal or stronger presence in telco than their average overall. Okay, let's look at the traditional enterprise hardware and software infrastructure cohort. Dell, Cisco, HPE, Red Hat, VMware, and Oracle. We've highlighted in this chart just as sort of indicators or proxies. Dell's net score's 10 percentage points higher in telco than its overall average. Interesting. Cisco's is a bit higher. HPE's is actually lower by about nine percentage points in the ETR survey, and VMware's is lower by about four percentage points. Now, Red Hat is really interesting. OpenStack, as we've previously reported is popular with telcos who want to build out their own private cloud. And the data shows that Red Hat OpenStack's net score is 15 percentage points higher in the telco sector than its overall average. OpenShift, on the other hand, has a net score that's four percentage points lower in telco than its overall average. So this to us talks to the pace of adoption of microservices and containers. You know, it's going to happen, but it's going to happen more slowly. Finally, Oracle's spending momentum is somewhat lower in the sector than its average, despite the firm having a decent telco business. IBM and Accenture, heavy services companies are both lower in this sector than their average. And real quickly, snowflake's net score is much lower by about 12 percentage points relative to its very high average net score of 62%. But we look for them to be a player in this space as telcos need to modernize their analytics stack and share data in a governed manner. Databricks' net score is also much lower than its average by about 13 points. And same, I would expect them to be a player as open architectures and cloud gains steam in telco. All right, let's close out now on what we're going to be talking about at MWC23 and some of the key issues that we'll be unpacking. We've talked about stack disaggregation in this breaking analysis, but the key here will be the pace at which it will reach the operational efficiency and reliability of closed stacks. Telcos, you know, in a large part, they're engineering heavy firms and much of their work takes place, kind of in the basement, in the dark. It's not really a big public hype machine, and they tend to move slowly and cautiously. While they understand the importance of agility, they're going to be careful because, you know, it's in their DNA. And so at the same time, if they don't move fast enough, they're going to get hurt and disrupted by competitors. So that's going to be a topic of conversation, and we'll be looking for proof points. And the other comment I'll make is around integration. Telcos because of their conservatism will benefit from better testing and those firms that can innovate on the testing front and have labs and certifications and innovate at that level, with an ecosystem are going to be in a better position. Because open sometimes means wild west. So the more players like Dell, HPE, Cisco, Red Hat, et cetera, that do that and align with their ecosystems and provide those resources, the faster adoption is going to go. So we'll be looking for, you know, who's actually doing that, Open RAN or Radio Access Networks. That fits in this discussion because O-RAN is an emerging network architecture. It essentially enables the use of open technologies from an ecosystem and over time, look at O-RAN is going to be open, but the questions, you know, a lot of questions remain as to when it will be able to deliver the operational efficiency of traditional RAN. Got some interesting dynamics going on. Rakuten is a company that's working hard on this problem, really focusing on operational efficiency. Then you got Dish Networks. They're also embracing O-RAN. They're coming at it more from service innovation. So that's something that we'll be monitoring and unpacking. We're going to look at cloud as a disruptor. On the one hand, cloud can help drive agility, as we said earlier and optionality, and innovation for incumbent telcos. But the flip side is going to also do the same for startups trying to disrupt and cloud attracts startups. While some of the telcos are actually embracing the cloud, many are being cautious. So that's going to be an interesting topic of discussion. And there's private wireless networks and 5G, and hyperlocal private networks, they're being deployed, you know, at the edge. This idea of open edge is also a really hot topic and this trend is going to accelerate. You know, the importance here is that the use cases are going to be widely varied. The needs of a hospital are going to be different than those of a sports venue are different from a remote drilling location, and energy or a concert venue. Things like real-time AI inference and data flows are going to bring new services and monetization opportunities. And many firms are going to be bypassing traditional telecommunications networks to build these out. Satellites as well, we're going to see, you know, in this decade, you're going to have, you're going to look down at Google Earth and you're going to see real-time. You know, today you see snapshots and so, lots of innovations going in that space. So how is this going to disrupt industries and traditional industry structures? Now, as always, we'll be looking at data angles, right? 'Cause it's in The Cube's DNA to follow the data and what opportunities and risks data brings. The Cube is going to be on location at MWC23 at the end of the month. We got a great set. We're in the walkway between halls four and five, right in Congress Square, it's booths CS60. So we'll have a full, they're called Stan CS60. We have a full schedule. I'm going to be there with Lisa Martin, Dave Nicholson and the entire Cube crew, so don't forget to stop by. All right, that's a wrap. I want to thank Alex Myerson, who's on production and manages the podcast, Ken Schiffman as well. Kristin Martin and Cheryl Knight help get the word out on social media and in our newsletters. And Rob Hof is our editor-in-chief over at Silicon Angle, does some great stuff for us. Thank you all. Remember, all these episodes are available as podcasts. Wherever you listen, just search "Breaking Analysis" podcasts I publish each week on wikibon.com and silicon angle.com. And all the video content is available on demand at thecube.net. You can email me directly at david.vellante@silicon angle.com. You can DM me at dvellante or comment on my LinkedIn post. Please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for The Cube Insights powered by ETR. Thanks for watching and we'll see you at Mobile World Congress, and/or at next time on "Breaking Analysis." (bright music) (bright music fades)

(upbeat music) (logo shimmers) >> Good afternoon everyone, and welcome back to AWS re Invent 2022. We are live here from the show floor in Las Vegas, Nevada, we're theCUBE, my name is Savannah Peterson, joined by John Furrier, John, are you excited for the next segment? >> I love the innovation story, this next segment's going to be really interesting, an example of ecosystem innovation in action, it'll be great. >> Yeah, our next guests are actually award-winning, I am very excited about that, please welcome Alan and Becky from IBM. Thank you both so much for being here, how's the show going for ya? Becky you got a, just a platinum smile, I'm going to go to you first, how's the show so far? >> No, it's going great. There's lots of buzz, lots of excitement this year, of course, three times the number of people, but it's fantastic. >> Three times the number of people- >> (indistinct) for last year. >> That is so exciting, so what is that... Do you know what the total is then? >> I think it's over 55,000. >> Ooh, loving that. >> John: A lot. >> It's a lot, you can tell by the hallways- >> Becky: It's a lot. >> John: It's crowded, right. >> Yeah, you can tell by just the energy and the, honestly the heat in here right now is pretty good. Alan, how are you feeling on the show floor this year? >> Awesome, awesome, we're meeting a lot of partners, talking to a lot of clients. We're really kind of showing them what the new IBM, AWS relationship is all about, so, beautiful time to be here. >> Well Alan, why don't you tell us what that partnership is about, to start us off? >> Sure, sure. So the partnership started with the relationship in our consulting services, and Becky's going to talk more about that, right? And it grew, this year it grew into the IBM software realm where we signed an agreement with AWS around May timeframe this year. >> I love it, so, like you said, you're just getting started- >> Just getting started. >> This is the beginning of something magic. >> We're just scratching the surface with this right? >> Savannah: Yeah. >> But it represents a huge move for IBM to meet our clients where they are, right? Meet 'em where they are with IBM technology, enterprise technology they're used to, but with the look and feel and usage model that they're used to with AWS. >> Absolutely and so to build on that, you know, we're really excited to be an AWS Premier Consulting Partner. We've had this relationship for a little over five years with AWS, I'd say it's really gone up a notch over the last year or two as we've been working more and more closely, doubling down on our investments, doubling down on our certifications, we've got over 15,000 people certified now, almost 16,000 actually- >> Savannah: Wow. >> 14 competencies, 16 service deliveries and counting. We cover a mass of information and services from Data Analytics, IoT, AI, all the way to Modernization, SAP, Security Services, right. So it's pretty comprehensive relationship, but in addition to the fantastic clients that we both share, we're doing some really great things around joint industry solutions, which I'll talk about in a few minutes and some of those are being launched at the conference this year, so that's even better. But the most exciting thing to me right now is that we just found out that we won the Global Innovator Partner of the Year award, and a LATAM Partner of the Year award. >> Savannah: Wow. >> John: That's (indistinct) >> So, super excited for IBM Consulting to win this, we're honored and it's just a great, exciting part to the conference. >> The news coming out of this event, we know tomorrow's going to be the big keynote for the new Head of the ecosystem, Ruba. We're hearing that it's going to be all about the ecosystem, enabling value creation, enabling new kinds of solutions. We heard from the CEO of AWS, this nextGen environment's upon us, it's very solution-oriented- >> Becky: Absolutely. >> A lot of technology, it's not an either or, it's an and equation, this is a huge new shift, I won't say shift, a continuation for AWS, and you guys, we've been covering, so you got the and situation going on... Innovation solutions and innovation technology and customers can choose, build a foundation or have it out of the box. What's your reaction to that? Do you think it's going to go well for AWS and IBM? >> I think it fits well into our partnership, right? The the thing you mentioned that I gravitate to the most is the customer gets to choose and the thing that's been most amazing about the partnership, both of these companies are maniacally focused on the customer, right? And so we've seen that come about as we work on ways the customer to access our technology, consume the technology, right? We've sold software on-prem to customers before, right, now we're going to be selling SaaS on AWS because we had customers that were on AWS, we're making it so that they can more easily purchase it by being in the marketplace, making it so they can draw down their committed spin with AWS, their customers like that a lot- [John] Yeah. >> Right. We've even gone further to enable our distributor network and our resellers, 'cause a lot of our customers have those relationships, so they can buy through them. And recently we've enabled the customer to leverage their EDP, their committed spend with AWS against IBM's ELA and structure, right, so you kind of get a double commit value from a customer point of view, so the amazing part is just been all about the customers. >> Well, that's interesting, you got the technology relationship with AWS, you mentioned how they're engaging with the software consumption in marketplace, licensed deals, there's all kinds of new business model innovations on top of the consumption and building. Then you got the consulting piece, which is again, a big part of, Adam calls it "Business transformation," which is the result of digital transformation. So digital transformation is the process, the outcome is the business transformation, that's kind of where it all kind of connects. Becky, what's your thoughts on the Amazon consulting relationships? Obviously the awards are great but- >> They are, no- >> What's the next step? Where does it go from here? >> I think the best way for me to describe it is to give you some rapid flyer client examples, you know, real customer stories and I think that's where it really, rubber meets the road, right? So one of the most recent examples are IBM CEO Arvind Krishna, in his three key results actually mentioned one of our big clients with AWS which is the Department of Veterans Affairs in the US and is an AI solution that's helped automate claims processing. So the veterans are trying to get their benefits, they submit the claims, snail mail, phone calls, you know, some in person, some over email- >> Savannah: Oh, it gives me all the feels hearing you talk about this- >> It's a process that used to take 25 to 30 days depending on the complexity of the claims, we've gotten it down with AWS down to within 24 hours we can get the veterans what they need really quickly so, I mean, that's just huge. And it's an exciting story that includes data analytics, AI and automation, so that's just one example. You know, we've got examples around SAP where we've developed a next generation SAP for HANA Platform for Phillips Carbon Black hosted on AWS, right? For them, it created an integrated, scalable, digital business, that cut out a hundred percent the capital cost from on-prem solutions. We've got security solutions around architectures for telecommunications advisors and of course we have lots of examples of migration and modernization and moving workloads using Red Hat to do that. So there's a lot of great client examples, so to me, this is the heart of what we do, like you said, both companies are really focused on clients, Amazon's customer-obsessed, and doing what we can for our clients together is where we get the impact. >> Yeah, that's one of the things that, it sounds kind of cliche, "Oh we're going to work backwards from the customer," I know Amazon says that, they do, you guys are also very customer-focused but the customers are changing. So I'd love to get your reaction because we're now in that cloud 2.0, I call that 2.0 or you got the Amazon Classic, my word, and then Next Gen Cloud coming, the customers are different, they're transforming because IT's not a department anymore, it's in the DevOps pipeline. The developers are driving a lot of IT but security and on DataOps, it's the structural change happening at the customer, how do you guys see that at IBM? I know we cover a lot of Red Hat and Arvind talks to us all the time, meeting the customer where they are, where are they? Where are the customers? Can you share your perspective on where they are? >> It's an astute observation, right, the customer is changing. We have both of those sets of customers, right, we still have the traditional customer, our relationship with Central IT, right, and driving governance and all of those things. But the folks that are innovating many times they're in the line of business, they're discovering solutions, they're building new things. And so we need our offerings to be available to them. We need them to understand how to use them and be convenient for these guys and take them through that process. So that change in the customer is one that we are embracing by making our offerings easy to consume, easy to use, and easy to build into solutions and then easy to parlay into what central IT needs to do for governance, compliance, and these types of things, it's becoming our new bread and butter. >> And what's really cool is- >> Is that easy button- >> We've been talking about- >> It's the easy button. >> The easy button a lot on the show this week and if you just, you just described it it's exactly what people want, go on Becky. >> Sorry about that, I was going to say, the cool part is that we're co-creating these things with our clients. So we're using things like the Amazon Working Backward that you just mentioned.` We're using the IBM garage methodology to get innovative to do design working, design thinking workshops, and think about where is that end user?, Where is that stakeholder? Where are they, they thinking, feeling, doing, saying how do we make the easier? How do we get the easy button for them so that they can have the right solutions for their businesses. We work mostly with lines of business in my part of the organization, and they're hungry for that. >> You know, we had a quote on theCUBE yesterday, Savannah remember one of our guests said, you know, back in the, you know, 1990s or two 2000s, if you had four production apps, it was considered complex >> Savannah: Yeah. >> You know, now you got hundreds of workloads, thousands of workloads, so, you know, this end-to-end vision that we heard that's playing out is getting more complex, but the easy button is where these abstraction layers and technology could come in. So it's getting more complex because there's more stuff but it's getting easier because- >> Savannah: What is the magnitude? >> You can make it easier. This is a dynamic, share your thoughts on that. >> It's getting more complex because our clients need to move faster, right, they need to be more agile, right, so not only are there thousands of applications there are hundreds of thousands microservices that are composing those applications. So they need capabilities that help them not just build but govern that structure and put the right compliance over that structure. So this relationship- >> Savannah: Lines of governance, yeah- >> This relationship we built with AWS is in our key areas, it's a strategic move, not a small thing for us, it covers things like automation and integration where you need to build that way. It covers things like data and AI where you need to do the analytics, even things like sustainability where we're totally aligned with what AWS is talking about and trying to do, right, so it's really a good match made there. >> John: It really sounds awesome. >> Yeah, it's clear. I want to dig in a little bit, I love the term, and I saw it in my, it stuck out to me in the notes right away, getting ready for you all, "maniacal", maniacal about the customer, maniacal about the community, I think that's really clear when we're talking about 24 days to 24 hours, like the veteran example that you gave right there, which I genuinely felt in my heart. These are the types of collaborations that really impact people's lives, tell me about some of the other trends or maybe a couple other examples you might have because I think sometimes when our head's in the clouds, we talk a lot about the tech and the functionality, we forget it's touching every single person walking around us, probably in a different way right now than we may even be aware- >> I think one of the things that's been, and our clients have been asking us for, is to help coming into this new era, right, so we've come out of a pandemic where a lot of them had to do some really, really basic quick decisions. Okay, "Contact Center, everyone work from home now." Okay, how do we do that? Okay, so we cobbled something together, now we're back, so what do we do? How do we create digital transformation around that so that we are going forward in a really positive way that works for our clients or for our contact center reps who are maybe used to working from home now versus what our clients need, the response times they need, and AWS has all the technology that we're working with like Amazon Connect to be able to pull those things together with some of our software like Watson Assistant. So those types of solutions are coming together out of that need and now we're moving into the trend where economy's getting tougher, right? More cost cutting potentially is coming, right, better efficiencies, how do we leverage our solutions and help our clients and customers do that? So I think that's what the customer obsession's about, is making sure we really understand where their pain points are, and not just solve them but maybe get rid of 'em. >> John: Yeah, great one. >> Yeah. And not developing in a silo, I mean, it's a classic subway problem, you got to be communicating with your community if you want to continue to serve them. And IBM's been serving their community for a very long time, which is super impressive, do you think they're ready for the challenge? >> Let's do it. >> So we have a new thing on theCUBE. >> Becky: Oh boy. >> We didn't warn you about this, but here we go. Although you told, Alan, you've mentioned you're feeling very cool with the microphone on, so I feel like, I'm going to put you in the hot seat first on this one. Not that I don't think Becky's going to smash it, but I feel like you're channeling the power of the microphone. New challenges, treat it like a 32nd Instagram reel-style story, a hot take, your thought leadership, money clip, you know, this is your moment. What is the biggest takeaway, most important thing happening at the show this year? >> Most important thing happening at the show? Well, I'm glad you mentioned it that way, because earlier you said we may have to sing (presenters and guests all laughing) >> So this is much better than- >> That's actually part of the close. >> John: Hey, hey. >> Don't worry, don't worry, I haven't forgotten that, it's your Instagram reel, go. (Savannah laughs) >> Original audio happening here on theCUBE, courtesy of Alan and IBM, I am so here for it. >> So what my takeaway and what I would like for the audience to take away, out of this conversation especially, but even broadly, the IBM AWS relationship is really like a landmark type of relationship, right? It's one of the biggest that we've established on both sides, right- >> Savannah: It seems huge, okay you are too monolith in the world of companies, like, yeah- >> Becky: Totally. >> It's huge. And it represents a strategic change on both sides, right? With that customer- >> Savannah: Fundamentally- >> In the middle right? >> Savannah: Yeah. >> So we're seeing things like, you know, AWS is working with us to make sure we're building products the way that a AWS client likes to consume them, right, so that we have the right integration, so they get that right look and feel, but they still get the enterprise level capabilities they're used to from IBM, right? So the big takeaway I like for people to take, is this is a new IBM, it's a new AWS and IBM relationship, and so expect more of that goodness, more of those new things coming out of it. [John] Excellent, wow. >> That was great, well done, you nailed it. and you're going to finish with some acapella, right? (Alan laughs) >> You got a pitch pipe ready? (everyone laughs) >> All right Becky, what about you? Give us your hot take. >> Well, so for me, the biggest takeaway is just the way this relationship has grown so much, so, like you said, it's the new IBM it's the new AWS, we were here last year, we had some good things, this year we're back at the show with joint solutions, have been jointly funded and co-created by AWS and IBM. This is huge, this is a really big opportunity and a really big deal that these two companies have come together, identified joint customer needs and we're going after 'em together and we're putting 'em in the booth. >> Savannah: So cool. And there's things like smart edge for welding solutions that are out there. >> Savannah: Yes. >> You know, I talked about, and it's, you know you wouldn't think, "Okay, well what's that?" There's a lot to that, a lot of saving when you look at how you do welding and if you apply things like visual AI and auditory AI to make sure a weld is good. I mean, I think these are, these things are cool, I geek out on these things- >> John: Every vertical. >> I'm geeking out with you right now, just geeking- >> Yeah, yeah, yeah, so- >> Every vertical is infected. >> They are and it's so impactful to have AWS just in lockstep with us, doing these solutions, it's so different from, you know, you kind of create something that you think your customers like and then you put it out there. >> Yeah, versus this moment. >> Yeah, they're better together. >> It's strategic partnership- >> It's truly a strategic partnership. and we're really bringing that this year to reinvent and so I'm super excited about that. >> Congratulations. >> Wow, well, congratulations again on your awards, on your new partnership, I can't wait to hear, I mean, we're seven months in, eight months in to this this SaaS side of the partnership, can't wait to see what we're going to be talking about next year when we have you back on theCUBE. >> I know. >> and maybe again in between now and then. Alan, Becky, thank you both so much for being here, this was truly a joy and I'm sure you gave folks a taste of the new IBM, practicing what you preach. >> John: Great momentum. >> And I'm just, I'm so impressed with the two companies collaborating, for those of us OGs in tech, the big companies never collaborated before- >> Yeah. >> John: Yeah. Joint, co-created solutions. >> And you have friction between products and everything else. I mean's it's really, co-collaboration is, it's a big theme for us at all the shows we've been doing this year but it's just nice to see it in practice too, it's an entirely different thing, so well done. >> Well it's what gets me out of the bed in the morning. >> All right, congratulations. >> Very clearly, your energy is contagious and I love it and yeah, this has been great. Thank all of you at home or at work or on the International Space Station or wherever you might be tuning in from today for joining us, here in Las Vegas at AWS re Invent where we are live from the show floor, wall-to-wall coverage for three days with John Furrier. My name is Savannah Peterson, we're theCUBE, the source for high tech coverage. (cheerful upbeat music)

(gentle music) >> Hey, everyone. Welcome back to New York City. Lisa Martin and John Furrier here with theCUBE, covering AWS Summit NYC. This is a series of summits this year. There's about 15 of them globally. We are excited to be here with a couple of guests. We have an alumni back with us. Couple of guests from Caylent, Stephen Garden joins us, the Executive Chairman, and Valerie Henderson, Chief Revenue Officer. Guys, welcome to the program. >> Thank you. >> Thank you. Thank you for having us. >> Great to have you, welcome back. >> Appreciate it, from 2016. >> 2016, it's been a minute. >> Yep. >> But that was before Caylent. Talk to us about Caylent, what do you guys do? What do you deliver? How are you affiliated with AWS? >> Sure, so we were founded in 2015, initially as a container management product. So our roots are very deeply centered around Cloud native. We've since evolved and become a Cloud native consultancy. We're all in with AWS. We were actually just awarded AWS Premier Partner a couple of weeks ago, so we're pretty pumped about that, but we're about 250 people now, across North and South America. And our goal is really to work with customers that are looking to innovate and evolve and use AWS as a catalyst to build new products for their business. >> As a catalyst, I like that. Valerie, talk about the customer. Obviously so much tumbled in the last couple of years. Still going through it. >> Yeah, of course. >> How have customer conversations evolved and changed in the last couple of years, from your perspective? >> Yeah, I think from my perspective it is such a unique time and it's a time that is constantly changing. And I think change breeds opportunity, and I feel like customers see that, and they're leaning in. They want the opportunity to create new revenue streams, do more, more efficiently, and I think that's the key. And the questions are really asking, how can we take our data, and turn it into something that we can monetize? How can we be smarter with what we have? And I think it's an incredible time to be in the space that we're in. Every conversation I have is really forward thinking, and about the business. And I've been in this space for a while, and that was not always that case. And I think now people are shifting that IT shop to IP shop, and that's so key, from my perspective. >> Interesting, interesting shift there. Every company has to be a data company these days, to be competitive, the last couple of years it was, how did we survive? Pivot, pivot, pivot. But to be a data company, means you have to be able to extract the value and insights from that data and act on it, to your point, develop new products, new revenue streams, new opportunities. How do you enable companies, and maybe this is a question that you can both answer, to truly become data companies? >> The whole model from a service's perspective is not a do-for model, it is a do-with model. And any time we go into a customer, it's like, where are they on the curve? From monolith application, to microservices, where do they sit today? And I think when you dig in, you assess, you deeply understand where they are, you can get them to where they want to be, and build a plan. And the way our model works is, we're doing it with them, and what that means is we're enabling them, documentation, we're supporting them, that if we're not there, they're going to be able to carry it forward and continue to do more. So, that's so so important. I'd love Stephen's take on it. >> Yeah, I think the other trend that we're seeing in data more recently is that customers need to share their information with other partners, collaborate. And AWS is just the perfect platform to be able to do that, enable that sharing. And you're seeing even businesses like Snowflake build a data Cloud on top of AWS. So, I think that's a new angle that we're seeing which is really bringing together way more innovation- >> What about that data clean-room trend that's going on, Snowflake's doing a lot of that. But some of them have a little lock in spec there, versus being open, security, privacy, governance, what's the balance between open sharing and the requirements you need to be secure and compliant? >> Yeah, I think very simplistically, the information that you are using to deliver your product and service to customers generally safer, more public and available, the information that's confidential to your business behind the scenes, obviously, you use the right protocols to lock it out. But it is a very hot topic in today's world, especially with Web3 and people seeking to get their information back, so... >> So you mentioned you guys around since 2015, if you go back in time, it seems like yesterday, but Cloud time, it's like two generations ago. Why is data now more relevant? Is it because the technology's gotten better and easier, or more maturization of the client's understanding, or being full with data, having a data problem and hence an opportunity? Or is it open source has evolved? Or all three, what's your reaction to that? Why is it exploding now when it's been around for a while? >> It keeps exponentially growing, right? The more and more data. There was a stat four or five years ago about, hey, we're taking more photographs in a single year now than all of mankind, leading up to that date, but I think just the sheer quantities and the way people are managing it now, and being able to actually capture information points of everything across their entire business, just presents a much bigger opportunity to be able to take and form decisions of the back of that. >> So do you see the customers having more data full problems, that they're having more data? So that's... And in that one >> 100%. >> Of the consequences of not leveraging it? >> Yeah, it's what to do. Yeah, absolutely, and if you think about when you wake up in the morning if you ask Alexa what the weather is, and like, you're creating data, in every engagement with the world. So I think it's this explosion of it, but then it exists, and what do you do, and having a strategy. I still think one of the biggest gaps is people, and talent, and expertise to do the work, frankly. Which is, the hypothesis of Caylent existing. >> Yeah, I think a data concept and application, because what's the weather to Alexa, is an application of what's the weather, it's a request, but it's actually the data's built into the app. >> It's built in. >> So data as code is a new trend. >> Yes, yeah, yeah, and I think it's funny to answer the question. There's more data points surrounding how to leverage your data, and I'm like, it's crazy, I think you're really seeing that working- >> We have an old data warehouse, we can't get the weather data, although it's there somewhere. But that's the problem. Getting the data, in the applications, this is not... Wasn't around 10 years ago. No one was talking like that. Now it's more standard. That sounds like DevOps to me, a DevOps problem. >> Yeah, moving from the monolithic to the microservice is wild, and just the way that people are building applications today. The users, their customers are demanding more from the service, and AWS is able to deliver that. >> What are some of your customers doing with you guys, can you give some examples and scope the scale of your relationship with the customers, vis-a-vis AWS and the Cloud, how they're using you guys and the Cloud. >> Yeah, yeah, for sure, a customer of ours, Allergen, which is an incredible organization, really had a large effort to modernize. And they actually have a data lab within their company called Allergen Data Labs, and they leveraged us to truly just modernize this containerization effort. How they can do more with less, and that serverless experience. So, I think from my perspective what we're seeing is also a need to be thoughtful about DevOps retooling and tooling because talent wants to work with the best toolset, the hottest stuff on the street, and again, to keep talent is key, in any organization's success. >> Valerie, how does Caylent help with that from a talent perspective? Obviously there's talent shortage, we're also still in the great resignation. >> Oh my gosh. >> How do you help organizations bridge the gap so that they can glean insights from data and be competitive and win? >> Yeah, we actually just published a case study with Novus which was bought by SEI, which is a huge financial firm. Where they said, "Listen, it's human nature to say I have a gap, and I need to fill it, I'm going to hire somebody." That's human nature to say, okay, this is what we're going to do. But the reality is, I think companies are starting to see the advantage of using a partner and say, okay, I could hire one person or I could bring in a partner who's going to have a team of five, works incrementally for a period of time, does with, helps coach my team up, document all of that, and I think that they're seeing value from that. And ultimately, it's not that we don't want them to eventually hire. When they do hire, we want that person to come in and have the best experience. >> And sometimes the people aren't even available, right? >> Correct, yeah. >> So you have a combination of managed services, a plethora of managed services that are also involved with the customers. So, it's that integration, scale, and partnering and sharing. You mentioned sharing data earlier, how do you guys view that integration piece, 'cause if you have a modern architecture, you got to have that decomposed, decoupled but integrated approach. >> Yeah, we really believe that the whole world of project services and managed services is coming together as one. So we have a single delivery model which we're really passionate about. And we look at it as an embedded team within our customers, embedded DevOps to support them, basically on anything that could be from a modernizing a new application through to addressing a more traditional Cloud architecture framework that's in place. But yeah, the trick to it is, as Val said earlier is the do with approach, not just do for, right? I think customers need to learn about the Cloud. They need to understand the technology that they're using. They want to have that understanding. And we found a way of fitting in our services to help them accelerate that part. >> So Valerie, I got to ask you the question. So, in sports you talk about the modern era of baseball or whatever, we're in the modern era of Cloud, going next generation. We call it Super Cloud, a concept that Dave and I put out at re:Invent. If someone asks you, what does the modern era look like? As you look at your customer base and the data you guys have, how would you describe this modern era? What is it made up of? Is it outcomes versus solutions? Is it technology that's decentralized? How do you talk about it? What is the modern era, if you were- >> Not to oversimplify it, but I'm going to, the idea that somebody could come into work and all they have to think about is business outcomes and the data points that they need to achieve said business outcomes. I'm the biggest fan of measure what matters, I think it is an incredibly powerful methodology. And I think anybody who thinks about running business, they know that it's a scale. The amount of companies that are in that place is very small right now. So I think modern era is really that running an IT company to an IP company. >> So Stephen, if you unpack that, what's under the covers to make that happen? Automation, machines, what's your assessment of that outcome, which by the way was well said. Beautiful, beautiful comment. What makes that happen? >> I think it is around automation. It is around do once and then apply many times. That is key. Obviously it's a fundamental principle of the Cloud, is that consistency in that repeatability. So when you can simplify services down to a point, click, deploy, I think you're in a much better position to be able to move quickly and then not have to worry about anything under the hood and just focus, like Val said, on the business outcomes. >> That's more creative. They're focusing on the problems, to not do the rock fetches and the heavy lifting that's not differentiated. >> I find that what gives people energy generates opportunity. And I think when people hit those roadblocks of, these things don't work together. There's all these interdependencies. It's really challenging. So I love what's happening. I think there's never been a better time to be in this business. >> Not a dull moment, That's for darn sure. >> Not a dull moment. >> Valerie, talk about outcomes. You mentioned a couple of customers that you're working with, some case studies. It is all about outcomes these days. That's the conversations that we have with the entire ecosystem is all about business outcomes. What are some of those key transformative business outcomes that Caylent is helping customers to achieve? >> Yeah, to me one thing that is key is, anytime I'm meeting with a customer, I want to understand who their customers are. I'm like, who is your customer? And how can we create a better experience for that customer. Whether it's their end users or their external customers. And I think that is a huge element. What we're seeing is that sassification of, how do I make it easier for my customers to procure and engage with my platform? And a lot of what we're doing right now is helping clients with that. And it's not a flip of a switch, it's not a click of a button, it's complicated. But that is what we are here to help, help simplify, help create that understanding of what's possible. >> How do you guys talk to your customers, take a minute to give a plug for the company. What are you looking for? What's the stats? How many employees you guys hiring, and what's the pitch to customers? >> Yeah, so I think every organization is on their journey to the Cloud now. It's gotten to that point where if you're not working with a public Cloud provider, you're part of a very, very small group. We like to say that we'll meet customers where they are, and help evolve them as a business, help evolve their teams. And that's what we mean when we say do with, so it's a pretty broad spectrum. We're big in healthcare. We're big in FinTech. We've worked with a lot of startup customers. We have about 250 customers today, 250 employees. And we're scaling rapidly. We've grown that from about 50 employees a year ago. >> Oh, wow. >> Yes, when I started, we were just around 60 people and we're at 260 today. >> And why are people working with you? What are you guys, solving a problem? Are you enabling them? What's the pitch? >> Without a doubt, I love that. Being in sales my whole career, somebody asking me for a pitch is my favorite. >> Okay, let's go. >> Yeah, yeah, the true value prop of what we do is all of the above. We enable, we help customers do more faster, but again, we do not want customers to walk away from an engagement with us saying, oh no, we don't know what to do. We want them to feel empowered. I still think the biggest gap from everything being in that IP business outcome is people. And for us, we're so passionate about that, and building a company that really truly believes that. And that's part of who we are as a company and our value system. >> And the digital transformation, ultimately what they're going through, you get them there faster. They get the outcomes and they're operational. >> Absolutely, and also to be clear, when a customer has a great experience working with you, they want to tell other people about the experience. And for us, like the referrals that we get, the partnership with Amazon is so key. >> What are some reactions after you go through an engagement? We've been riffing on this concept of Super Cloud where you're starting to see people build on top of, not the AWSs, but their partners that work with them. And so the customers are getting their own Cloud experience at scale. What are some of the comments you hear from your successful customers? What are some anecdotal feedback? >> Yeah, yeah. >> I'm so glad we did this because now I'm selling more, I'm doing this, what are some of the things that they're thinking? >> Yeah, yeah, I think ultimately the consistent theme that we get is, "I'm so glad that I didn't let fear hold me back from engaging a partner," because a lack of control scares a lot of customers. It does. And I think customers that are willing to say, "Okay, I'm going to have a little faith, trust in the process." They thank us. They do, and we've seen that across the board. I think that crossing that chasm is not to be underestimated without a doubt. >> Great story, congratulations. >> Oh, thank you. >> Well, there's nothing more powerful and potent than the voice of the customer. >> Without a doubt. And really you have to listen. >> Yes, yes, definitely. Stephen, Valerie, thank you so much for joining Dave and me on the program today, talking about Caylent, what you guys are doing for customers with AWS, empowering, enabling, collaboration. I love it, thank you. >> Yeah, thank you both. >> All right, our pleasure. For John Furrier, I'm Lisa Martin. You're watching theCUBE live in New York City, we are at AWSO in NYC, John and I will be right back with our next guest. (gentle music)

[Music] thecube's coverage of red hat summit 2022 thecube has been covering red hat summit for a number of years of course the last two years were virtual coverage now the red hat summit is one of the industry's most premier events and and typically red hat summits are many thousands of people i think the last one i went to was eight or nine thousand people very heavy developer conference this year red hat has taken a different approach it's a hybrid event it's kind of a vip event at the westin in boston with a lot more executives here than we would normally expect versus developers but a huge virtual audience my name is dave vellante i'm here with my co-host paul gillin paul this is a location that you and i have broadcast from many times and um of course 2019 the summer of 2019 ibm acquired red hat and um we of course we did red hat summit that year but now we're seeing a completely new red hat and a new ibm and you wouldn't know ibm owned red hat for what they've been talking about at this conference we just came out of the keynote where uh in the in the hour-long keynote ibm was not mentioned once and only appeared the logo only appeared once on the screen in fact so this is uh very much red hat being red hat not being a subsidiary at ibm and perhaps that's justified given that ibm's track record with acquisitions is that they gradually envelop the acquired company and and it becomes part of the ibm board yeah they blue wash the whole thing right it's ironic because ibm think is going on right across the street arvin krishna is here but no presence here and i think that's by design i mean it reminds me of when you know emc owned vmware you know the vmware team didn't want to publicize that they had an ecosystem of partners that they wanted to cater to and they wanted to treat everybody equally even though perhaps behind the scenes they were forced to do certain things that they might not have necessarily wanted to because they were owned by another company and i think that you know certainly ibm's done a good job of leaving the brand separate but when they talk about the con the conference calls ibm's earnings calls you certainly get a heavy dose of red hat when red hat was acquired by ibm it was just north of three billion dollars in revenue obviously ibm paid 34 billion dollars for the company actually by today's valuations probably a bargain you know despite the market sell-off in the last several months uh but now we've heard public statements from arvind kushner that that red hat is a 5 billion plus revenue company it's a little unclear what's in there of course when you listen to ibm earnings you know consulting is their big business red hat's growing at 21 but when i remember paul when red hat was acquired stu miniman and i did a session and i said this is not about cloud this is about consulting and modernizing applications and sure there's some cloud in there with openshift but from a financial standpoint ibm was able to take red hat and jam it right into its application modernization initiatives so it's hard to tell how much of that 5 billion is actually you know legacy red hat but i guess it doesn't matter anymore it's working ibm mathematics is notoriously opaque they if the business isn't going well it'll tend to be absorbed into another number in the in the earnings report that that does show some growth so we've heard uh certainly ibm talks a lot about red hat on its earnings calls it's very clear that red hat is the growth engine within ibm i'd say it's a bit of the tail wagging the dog right now where red hat really is dictating where ibm goes with its hypercloud strategy which is the foundation not only of its technology portfolio but of its consulting business and so red hat is really in the driver's seat of of hybrid cloud and that's the future for ibm and you see that very much at this conference where uh red hat is putting out its uh series of announcements today about improvements to his hybrid cloud the new release of route 9 red hat enterprise linux 9 improvements to its hybrid cloud portfolio it very much is going its own way with that and i sense that ibm is going to go along with wherever red hat chooses to go yeah i think you're absolutely right if by the way if you go to siliconangle.com paul just published a piece on red hat reds hats their roll out of their parade which of course is as you pointed out led by enterprise linux but to your point about hybrid cloud it is the linchpin of of certainly ibm strategy but many companies hybrid cloud strategies if you think about it openshift in particular it's it's the modern application development environment for kubernetes you can get kubernetes you can buy eks you can get that for free in a lot of places but you have to do dozens and dozens of things and acquire dozens of services to do what openshift does to get the reliability the recoverability the security and that's really red hat's play and they're the the thing about red hat combining with linux their linux heritage they're doing that everywhere it's going to open shift everywhere red hat everywhere whether it's on-prem in aws azure google out to the edge you heard paul cormier today saying he expects that in the next several years hardware is going to become one of the most important you know factors i agree i think we're going to enter a hardware renaissance you've seen the work that we've done on arm i think 2017 was when red hat and arm announced kind of their initial collaboration could have even been before that today we're hearing a lot about intel and nvidia and so affinity with all of these alternative processes i think they did throw in today in the keynote power and so i think i heard that that was the other ibm branding they sort of tucked that in there but the point is red hat runs everywhere so it's fundamental to building out hybrid cloud and that is fundamental to a lot of company strategies and red hat has been all over kubernetes with openshift it's i mean it's a drum beat here uh the openshift strategy is what really makes hybrid cloud possible because kubernetes is what makes it possible to shift workloads seamlessly from platform to platform you make an interesting point about hardware we have seen kind of a renaissance in hardware these last couple of years as these specific chipsets and uh and even full-scale processors have come to market we're seeing several in the ai area right now where startups are developing full-blown chipsets and and systems uh just for ai processing and nvidia of course that's that's really kind of their stock and trade these days so uh a a company that can run across all of those different platforms a platform like like rel which can run all across those different platforms is going to have a leg up on on anybody else and the implications for application development are considerable when you when you think about we talk about a lot about these alternative processes when flash replaced the spinning disk that had a huge impact on how applications are developed developers now didn't have to wait for that that disc to spin even though it's spinning very fast it's mechanical compared to electrons forget it and and the second big piece here is how memory is actually utilized the x86 you know traditional x86 you know memory everything goes through that core processor intel for years grabbed more and more function and you're seeing now that function become dispersed in fact a lot of people think we're moving from a processor-centric world to a connect centric world meaning connecting all these piece parts alternative processors memory controllers you know storage controllers io network interface cards smartnics and things like that where the communication across those resources is now where a lot of the innovation is going you see you're seeing a lot of that and now of course applications can take advantage of that especially now at the edge which is just a whole new frontier the edge certainly is part of that equation when you look at machine learning at training machine learning models the cpu actually does relatively little work most of it is happening in gpus in these parallel processes that are going on and the cpu is kind of acting as a traffic cop and you see that in the edge as well it's the same model at the edge where more of the intelligence is going to be out in discrete devices spread across the network and the cpu is going to be less of a uh you know less of a engine of intelligence at the same time though we've got cpus with we've got 100 core cpus are on the horizon and there are even 200 and 300 core cpus that we may see in the next uh in the next couple of years so cpus aren't standing still they are evolving to become really kind of super traffic cops for all of these other processors out in the network and on the edge so it's a very exciting time to be in hardware because so much innovation is happening really at the microprocessor level well we saw this you and i lived through the pc era and we saw a whole raft of applications come about as a result of the microprocessor the shift of the microprocessor-based economy we're going to see so we are seeing something similar with mobile and the edge you know just think about some of the numbers if you think about the traditional moore's law doubling a number of transistors every let's call it two years 18 to 24 months pat gelsinger at intel promises that intel is on that pace still but if you look at the apple m1 ultra they increased the transistor density 6x in the last 15 months okay so where is this another data point is the historical moore's law curve is 40 that's moderating to somewhere down you know down in the low 30s if you look at the apple a series i mean that thing is on average increasing performance at 110 a year when you add up into the combinatorial factors of the cpu the neural processing unit the gpu all the accelerators so we are seeing a new era the thing i i i wanted to bring up paul is you mentioned ai much of the ai work that's done today is modeling that's done in the cloud and when we talk about edge we think that the future of ai is ai inferencing in real time at the edge so you may not even be persisting that data but you're going to create a lot of data you're going to be operating on that data in streams and it's going to require a whole new new architectural thinking of hardware very low cost very low power very high performance to drive all that intelligence at the edge and a lot of that data is going to stay at the edge and and that's we're going to talk about some of that today with some of the ev innovations and the vehicle innovations and the intelligence in these vehicles yeah and in talking in its edge strategy which it outlined today and the announcements that are made today red hat very much uh playing to the importance of being able to run red hat enterprise linux at the edge the idea is you do these big machine learning models centrally and then you you take the you take what results from that and you move it out to smaller processors it's the only way we can cope with it with the explosion of data that will be uh that these sensors and other devices will be generating so some of the themes we're hearing in the uh announcements today that you wrote about paul obviously rel9 is huge uh red hat enterprise linux version nine uh new capabilities a lot of edge a lot of security uh new cross portfolio capabilities for the edge security in the software supply chain that's a big conversation especially post solar winds managed ansible when you think about red hat you really i think anyway about three things rel which is such as linux it powers the internet powers everything uh you think of openshift which is application development you think about ansible which is automation so itops so that's one of the announcements ansible on azure and then a lot of hybrid cloud talk and you're gonna hear a lot of talk this week about red hat's cloud services portfolio packaging red hat as services as managed services that's you know a much more popular delivery mechanism with clients because they're trying to make it easy and this is complicated stuff and it gets more complicated the more features they add and the more the more components of the red hat portfolio are are available it's it's gonna be complex to build these hybrid clouds so like many of these so thecube started doing physical events last summer by the way and so this is this is new to a lot of people uh they're here for the first time people are really excited we've definitely noticed a trend people are excited to be back together paul cormier talked about that he talked about the new normal you can define the new normal any way you want so paul cormier gave the uh the the intro keynote bidani interviewed amex stephanie cheris interviewed accenture both those firms are coming out stephanie's coming on with the in accenture as well matt hicks talked about product innovation i loved his reference to ada lovelace that was very cool he talked about uh serena uh ramyanajan a famous mathematician who nobody knew about when he was just a kid these were ignored individuals in the 1800s for years and years and years in the case of ada lovelace for a century even he asked the question what if we had discovered them earlier and acted on them and been able to iterate on them earlier and his point tied that to open source very brilliantly i thought and um keynotes which i appreciate are much shorter much shorter intimate they did a keynote in the round this time uh which i haven't seen before there's maybe a thousand people in there so a much smaller group much more intimate setting not a lot of back and forth but uh but there is there is a feeling of a more personal feel to this event than i've seen it past red hat summits yeah and i think that's a trend that we're going to see more of where the live audience is kind of the on the ground it's going to the vip audience but still catering to the virtual audience you don't want to lose them so that's why the keynotes are a lot tighter okay paul thank you for setting up red hat summit 2022 you're watching the cube's coverage we'll be right back wall-to-wall coverage for two days right after this short break [Music] you

(bright music) >> Hello, and welcome to today's session of the 2021 AWS Global Public Sector Partner Awards. I'm your host, Natalie Erlich and today we'll highlight the best cybersecurity solution. I'm very pleased to welcome our next guests. They are Tina Thorstenson executive public sector strategist at CrowdStrike and Jennifer Dvorak information security architect for the State of Arizona. Thank you so much for being with me today. >> Thanks for having us. >> Yep, thank you. >> Perfect. Well you know obviously a really wild year with COVID and it certainly pushed a lot of boundaries. Cyber security resiliency also a hot topic as ransomware really spiked up. How have you addressed this concern and really accelerated this push with COVID-19 in the backdrop? I'd love it if either one of you would just like to jump in here. >> Well, CrowdStrike was one of our initiatives for 2020 and it was significantly increased, accelerated due to COVID. So we had to roll out in a matter of weeks when we had a matter of months previously and it really provided us the visibility that we needed for folks taking their computers home. We had no way of triaging any of our incidents when the computers were at home. So rolling out CrowdStrike as quickly as possible it gave us remote access, it gave us visibility and that was huge for our organization. >> Tina, if you could weigh in on this as well, that would be terrific. >> Sure absolutely. And you know, Jen with the State of Arizona is one of our premier customers but across the board with the 2021 global threat report that we issue each year, what we saw there was a fourfold increase in the number of intrusions. So to your point about the threat activity and it's not getting better. So what CrowdStrike is on a mission to do is stop regions and protect organizations against these bad actors so that they're, that we minimize disruptions. It's really been tremendous to see and build a ecosystem from a platform approach that started with visibility on the end point that Jen was just alluding to. >> And Jennifer, I'd love to get your insight how the public sector and the private sector can work better in tandem with each other in order to protect customers and also communities against ransomware attacks and other kinds of cybersecurity threats that we've seen coming from Russia for instance. >> Certainly so our state CISO Tim Roemer, he has definitely encouraged us to make partners with our private vendors. So that's one of his strategic initiatives and we really want partners in the private sector. We want folks that are going to come alongside us and help us with our security goals. And CrowdStrike has been one of those vendors. We don't want to just spend money and then the vendor runaway, we want somebody that's going to be with us every step of the way. We've had some incidents this past year and CrowdStrike was the first team to alert us because it was a different agency or a different part of our organization that we don't typically work with a lot. And that was really helpful because we were able to act quickly and address the issues that arose. So just having somebody that's looking out for your best interests and being a true partner is what we're really looking for. And that's the only way that we can circumvent these ransomware attacks. >> And Tina I'd love it if you'd weigh in as well. How do you see your role in this effort to protect the public evolving now in 2021? >> So I love that question and especially with the role of my role brand new in COVID interestingly enough, to create this bi-directional executive alignment with our customers and our internal teams and overall at CrowdStrike our goal, as I said is to stop breaches and it's really to bring, to minimize the frustration that comes sometimes with rolling out security tools. I've been at this a long time and tools like CrowdStrike are really game changers for security teams that are really about protecting organizations. And essentially what we do is we brought a single platform where when it, when the, when our software is deployed to an organization across their laptops, desktops, server and cloud infrastructure, we were born in the cloud kind of before it was cool and now we serve more than 11,000 customers. And that threat activity goes to a single AWS instance where we look across all of the threat activity. And then when we see activity in one area, we can protect all of our customers. That's the power of the cloud. >> Perfect and I'd love Jennifer's insights here too. What steps are you taking now to keep the public protected and the state cyber ready? >> And I like Tina's point about being born in the cloud. So State of Arizona is a cloud first state. We are also looking for solutions in the cloud, and I think by leveraging cloud solutions, we're able to be more nimble. We're able to pivot our approach to security and address anything that comes up more quickly. So being cloud first, even though it's, it wasn't embraced initially, I think that it's something that we've been driving towards and looking for more partners that support that cloud first initiative that we have. >> And Tina what's top of mind? What are some of the key initiatives that your team and teams are going to be focused on in the years ahead? What's the next phase for cybersecurity? >> Great question and we've talked quite a bit about the end point but where we're headed and really where we've invested heavily the last couple of years and we'll continue moving forward is now that we have, we've brought this game-changing visibility to our security teams on the end point of each one of the systems in their environment where we've expanded the platform to now include cloud services like I mentioned. Now include indicators of misconfigurations which are so detrimental to teams working in a hybrid cloud environment. And then we've also moved into the identity protection space. And essentially what we're doing there is the same thing we've been doing to protect workloads coming from desktops and laptops across the country and around the world and moved to a model where we're also in a zero trust principles way looking for threat activity coming in through identities, through people logging into these systems and doing the same real-time continuous monitoring and taking proactive action to protect organizations where we see malicious activity. >> Terrific, well, in light of COVID-19, we saw a big spike in ransomware and I'd love to hear specifically from Tina why do we need trusted partners rather than software vendors in this fight? >> You know, it's so important to get out in front of all of the adversaries and most recently that we've seen huge growth in the e-crime actors that are taking advantage of the tools that are unfortunately in the market today, sometimes even free that allow them to hold organizations hostage. And the reason that's so important to partner with organizations and companies like CrowdStrike, is that we've been thinking ahead and we are designed in a way to stop an individual, a breach or adversary attack from occurring but we've been watching how their adversary works and now we can see their activity very early on before they have a chance to gain a foothold in an organization's server or laptop or even a phone or a tablet. And really what we're doing is we're providing protection so that it doesn't even need to move to an analyst to do further review. We just stop it right at the gate before it causes harm. And the reason that this is so important probably is obvious, but we're about making sure that the organizations like the State of Arizona can continue on their business and without these kinds of disruptions. So we haven't designed against one particular adversary but we really designed an approach that works across them all because we've been watching so closely how they move through environments for years. And we use the power of artificial intelligence delivered from the cloud to protect against all things including ransomware. >> Right it's really an evolving process. You constantly have to be vigilant for the next threat. Now I'd love to hear how you see things change with your tech partners and providers at the moment. >> So from a CrowdStrike perspective, we aim to be absolutely the best in class for the products and services that we provide whether that's your products that you can purchase like our endpoint solutions or whether that's services like our 24/7 threat hunting teams or Falcon Complete Teams that basically serve as an extension of an organization's team. But it's absolutely critical that we move this direction and not try to be the best at everything and instead partner. So we have extensive partnerships with Zscaler and Proofpoint and so many others, Okta. I mean the list goes on and on with now hundreds. And we also have a CrowdStrike store. So once you're a customer we've reduced the friction to taking on and trying out new modules, either from us or new options that maybe you haven't considered before from our trusted partners, much like the AWS marketplace we've got the CrowdStrike store and it's a growing set of partnerships where we build those integrations. So, my prior life I was the CISO for Arizona State University most recently. And we spend an awful lot of time integrating these solutions in a CrowdStrike. We're about building those integrations so that the teams within the organizations that can get on to doing innovative things within their space, rather than having to spend all their time tying these technologies together. >> Yeah now shifting to Jennifer late last year we learned that suspected Russian hackers broke into the US government agencies including a county in Arizona. So what measures has the State of Arizona put in place now to ensure that something like that won't happen again or that at least the state is very vigilant and ready to protect citizens and the government against these threats? >> We're definitely partnering with products like or vendors like CrowdStrike. That's what we, we're looking to extend those partnerships. And not only that we're developing our information sharing program across state, local and territorial governments. So we're looking to partner with the cities, the counties. Cybersecurity is a team sport. Cybersecurity is, it takes everyone. It takes the whole state working together. And that's one of the things that we've been trying to build. So working in conjunction with the state fusion center, the Arizona Counter Terrorism Information Center, we've been working to do more indicators of compromise sharing, any intelligence that we've been gathering from these counties that maybe did have an incident or a breach. We want to make sure that the information is disseminated to everyone so that we can be stronger and protect against it. Additionally, we we're always looking for grants that we can extend so that we're able to extend our products that we use to some of the smaller cities and towns and counties so that they can leverage some of the same technologies like CrowdStrike in their environments at a fraction of the cost or paid for by a grant. >> Terrific, well, Tina how does your experience as a CrowdStrike customer now come into play in your current role? >> Well, how's it come into play? Well, I think that it makes it really easy for me to be a liaison internally and help internal teams understand what it's like to sit as a CISO or as a CIO or deputy CIO. And to understand the kinds of challenges that these teams are (indistinct) these leaders of these teams are facing as they're moving forward with their innovation agenda while making sure to make sure that they're gaining those operational efficiencies that are so important today and wowing their customers all the while, right? So I think really what I bring to it is that level of experience to make sure that the voices of our customers are heard internally and that we continue to build products and services that make sense for the needs of our customers additional capabilities. Like we just released Falcon X Recon is an example of one of our newer capabilities where we're basically looking at their deep and dark web activity and bringing that together in the single platform, single event console that we've leveraged for years now. And in highlighting that activity many, in many cases, pre breach. So before you'd ever see it hit your, in your organization's operational environment, we would detect it through that service. So, I think it's those, all those things combined. >> Terrific well, CrowdStrike won a number of key accolades this year, and I was curious, Tina what you attribute to this huge success. >> Well, I have to tell you that I've been in the security space for far too long. And what I can say is that until CrowdStrike came along, there wasn't a solution, a security solution that we could get software running on an end point that wasn't just frustrating across the board. There were conflicts with other software running or the software would work great for one platform but it wouldn't work for the other. So we really have this new approach. And I think that that's what's made us, in fact I'm sure it's certainly what made me a wildly happy customer is that staff, faculty, employees, if we hadn't told them the software was being rolled out, they wouldn't have even noticed. You know it doesn't impact the machines and it's really provided this amazing experience and bringing all that with 150 different adversary groups that we track and we take that on for the customers and just bring visibility for the immediate things they need to take action on. I think those are all of the things that got us to this point in building out this platform is going to be really amazing to see in the years to come as we expand across other areas within the security space, either developing our own or really driving partnerships to make it easier for our customers. >> Yeah, terrific. Well, I pulled up the stat here for us to examine because I think it's really important for our viewers to understand just how important cybersecurity is and how it's going to be even more important for customers and for the private citizens and public citizens. According to Cybersecurity Ventures, cyber crime costs will grow by 15% per year reaching 10.5 trillion by 2025. That's just in about four years. And not only that, cyber crime will become the third largest economy in the world after the United States and China. So, I mean, it's really terrific that you're stepping up. You know just if you could both, perhaps Jennifer can go first and then Tina, what are the key lessons that you have for even the federal government to take a more proactive stance against these threats? >> Well, I think it's clear that this is a very lucrative venture, business venture. It's treated like a business venture by these criminal actors and they have a formula and it works. So I don't see that it's going to be changing anytime soon. And it's also not something that is highly sophisticated, highly technical. It's very easy. It's very much phishing, you know, users clicking on emails and vulnerabilities and environments. It's really a very easy formula that they continue to repeat. So I think until the federal government has more ways to recoup some of these ransomware payments, or we're able to stop some of these ransomware as a service products from being used, I think it's going to continue. So we're defenders so we need to make sure that we're ready for anything that comes and using products that keep us safe is really the best way and training our users. >> Terrific and Tina? >> Thank you. So we are so passionate about making sure that our customers can sleep better at night. When it comes down to tips it really comes back to the basics in many regards but the basics are sometimes really hard to do. So they sound simple, but they aren't so easy to do. And it's basics like making sure your systems are patched. Every organization has just a growing number of devices and pieces of software and infrastructure and all of those things need to be patched nearly immediately to stay out in front of today's adversaries. And Jen's right, Some are sophisticated, some are not but the reality is if we leave those windows open, we will have adversaries, oh, you know walk into our house if you will. So the basics like that also making sure that you have great backups, right? So if you do run into an instance of a ransomware where your systems are locked that you have the ability to recover quickly, being proactive and making sure that you have the partnership arrangement ahead of time is a third really important thing to do. Many organizations now have IRR retainers that they, incident response retainers that you can use proactively in years where you don't find yourself on your heels in a reactive situation but then it's there when you need it. Sometimes it's hard to find great services when there are the flood of ransomware attacks like we've seen in recent months. And then lastly, and I should have started with this 'cause it's the most important part, train your people. It's so important to make sure that security is just a culture, a part of the culture, just like you lock your car and you lock your house. Making sure that you're thinking about those things that will help keep you safe and your organization safe. >> Really excellent points. Thank you both so much for your insights. That was Tina Thorstenson executive public sector strategist at CrowdStrike, as well as Jennifer Dvorak, information security architect for the State of Arizona. Again, really appreciate your insights. This was a fantastic conversation with you. And that's all for the 2021 AWS Global Public Sector Partner Awards or in this session of that. I'm your host Natalie Erlich and see you very soon. (bright music)

(bright music) >> Welcome back to the CUBE presents the AWS Startup Showcase The Next Big Thing in cloud startups with AI security and life science tracks, 15 hottest growing startups are presented. And we had a great opening keynote with luminaries in the industry. And now our closing keynote is to get a deeper dive on cracking the code in the enterprise, how startups are changing the game and helping companies change. And they're also changing the game of open source. We have a great guest, Katie Drucker, Head of Business Development, Madrona Venture Group. Katie, thank you for coming on the CUBE for this special closing keynote. >> Thank you for having me, I appreciate it. >> So one of the topics we talked about with Soma from Madrona on the opening keynote, as well as Ali from Databricks is how startups are seeing success faster. So that's the theme of the Cloud speed, agility, but the game has changed in the enterprise. And I want to really discuss with you how growth changes and growth strategy specifically. They talk, go to market. We hear things like good sales to enterprise sales, organic, freemium, there's all kinds of different approaches, but at the end of the day, the most successful companies, the ones that might not be known that just come out of nowhere. So the economics are changing and the buyers are thinking differently. So let's explore that topic. So take us through your view 'cause you have a lot of experience. But first talk about your role at Madrona, what you do. >> Absolutely all great points. So my role at Madrona, I think I have personally one of the more enviable jobs and that my job is to... I get the privilege of working with all of these fantastic entrepreneurs in our portfolio and doing whatever we can as a firm to harness resources, knowledge, expertise, connections, to accelerate their growth. So my role in setting up business development is taking a look at all of those tools in the tool chest and partnering with the portfolio to make it so. And in our portfolio, we have a wide range of companies, some rely on enterprise sales, some have other go to markets. Some are direct to consumer, a wide range. >> Talk about the growth strategies that you see evolving because what's clear with the pandemic. And as we come out of it is that there are growth plays happening that don't look a little bit differently, more obvious now because of the Cloud scale, we're seeing companies like Databricks, like Snowflake, like other companies that have been built on the cloud or standalone. What are some of the new growth techniques, or I don't want to say growth hacking, that is a pejorative term, but like just a way for companies to quickly describe their value to an enterprise buyer who's moving away from the old RFP days of vendor selection. The game has changed. So take us through how you see secret key and unlocking that new equation of how to present value to an enterprise and how you see enterprises evaluating startups. >> Yes, absolutely. Well, and that's got a question, that's got a few components nestled in what I think are some bigger trends going on. AWS of course brought us the Cloud first. I think now the Cloud is more and more a utility. And so it's incumbent upon thinking about how an enterprise 'cause using the Cloud is going to go up the value stack and partner with its cloud provider and other service providers. I think also with that agility of operations, you have thinning, if you will, the systems of record and a lot of new entrance into this space that are saying things like, how can we harness AIML and other emerging trends to provide more value directly around work streams that were historically locked into those systems of record? And then I think you also have some price plans that are far more flexible around usage based as opposed to just flat subscription or even these big clunky annual or multi-year RFP type stuff. So all of those trends are really designed in ways that favor the emerging startup. And I think if done well, and in partnership with those underlying cloud providers, there can be some amazing benefits that the enterprise realizes an opportunity for those startups to grow. And I think that's what you're seeing. I think there's also this emergence of a buyer that's different than the CIO or the site the CISO. You have things with low code, no code. You've got other buyers in the organization, other line of business executives that are coming to the table, making software purchase decisions. And then you also have empowered developers that are these citizen builders and developer buyers and personas that really matter. So lots of inroads in places for a startup to reach in the enterprise to make a connection and to bring value. That's a great insight. I want to ask that just if you don't mind follow up on that, you mentioned personas. And what we're seeing is the shift happens. There's new roles that are emerging and new things that are being reconfigured or refactored if you will, whether it's human resources or AI, and you mentioned ML playing a role in automation. These are big parts of the new value proposition. How should companies posture to the customer? Because I don't want to say pivot 'cause that means it's not working but mostly extending our iterating around their positioning because as new things have not yet been realized, it might not be operationalized in a company or maybe new things need to be operationalized, it's a new solution for that. Positioning the value is super important and a lot of companies often struggle with that, but also if they get it right, that's the key. What's your feeling on startups in their positioning? So people will dismiss it like, "Oh, that's marketing." But maybe that's important. What's your thoughts on the great positioning question? >> I've been in this industry a long time. And I think there are some things that are just tried and true, and it is not unique to tech, which is, look, you have to tell a story and you have to reach the customer and you have to speak to the customer's need. And what that means is, AWS is a great example. They're famous for the whole concept of working back from the customer and thinking about what that customer's need is. I think any startup that is looking to partner or work alongside of AWS really has to embody that very, very customer centric way of thinking about things, even though, as we just talked about those personas are changing who that customer really is in the enterprise. And then speaking to that value proposition and meeting that customer and creating a dialogue with them that really helps to understand not only what their pain points are, but how you were offering solves those pain points. And sometimes the customer doesn't realize that that is their pain point and that's part of the education and part of the way in which you engage that dialogue. That doesn't change a lot, just generation to generation. I think the modality of how we have that dialogue, the methods in which we choose to convey that change, but that basic discussion is what makes us human. >> What's your... Great, great, great insight. I want to ask you on the value proposition question again, the question I often get, and it's hard to answer is am I competing on value or am I competing on commodity? And depending on where you're in the stack, there could be different things like, for example, land is getting faster, smaller, cheaper, as an example on Amazon. That's driving down to low cost high value, but it shifts up the stack. You start to see in companies this changing the criteria for how to evaluate. So an enterprise might be struggling. And I often hear enterprises say, "I don't know how to pick who I need. I buy tools, I don't buy many platforms." So they're constantly trying to look for that answer key, if you will, what's your thoughts on the changing requirements of an enterprise? And how to do vendor selection. >> Yeah, so obviously I don't think there's a single magic bullet. I always liked just philosophically to think about, I think it's always easier and frankly more exciting as a buyer to want to buy stuff that's going to help me make more revenue and build and grow as opposed to do things that save me money. And just in a binary way, I like to think which side of the fence are you sitting on as a product offering? And the best ways that you can articulate that, what opportunities are you unlocking for your customer? The problems that you're solving, what kind of growth and what impact is that going to lead to, even if you're one or two removed from that? And again, that's not a new concept. And I think that the companies that have that squarely in mind when they think about their go-to market strategy, when they think about the dialogue they're having, when they think about the problems that they're solving, find a much faster path. And I think that also speaks to why we're seeing so many explosion in the line of business, SAS apps that are out there. Again, that thinning of the systems of record, really thinking about what are the scenarios and work streams that we can have happened that are going to help with that revenue growth and unlocking those opportunities. >> What's the common startup challenge that you see when they're trying to do business development? Usually they build the product first, product led value, you hear that a lot. And then they go, "Okay, we're ready to sell, hire a sales guy." That seems to be shifting away because of the go to markets are changing. What are some of the challenges that startups have? What are some that you're seeing? >> Well, and I think the point that you're making about the changes are really almost a result of the trends that we're talking about. The sales organization itself is becoming... These work streams are becoming instrumented. Data is being collected, insights are being derived off of those things. So you see companies like Clary or Highspot or two examples or tutorial that are in our portfolio that are looking at that action and making the art of sales and marketing far more sophisticated overall, which then leads to the different growth hacking and the different insights that are driven. I think the common mistakes that I see across the board, especially with earlier stage startups, look you got to find product market fit. I think that's always... You start with a thesis or a belief and a passion that you're building something that you think the market needs. And it's a lot of dialogue you have to have to make sure that you do find that. I think once you find that another common problem that I see is leading with an explanation of technology. And again, not focusing on the buyer or the... Sorry, the buyer about solving a problem and focusing on that problem as opposed to focusing on how cool your technology is. Those are basic and really, really simple. And then I think setting a set of expectations, especially as it comes to business development and partnering with companies like AWS. The researching that you need to adequately meet the demand that can be turned on. And then I'm sure you heard about from Databricks, from an organization like AWS, you have to be pragmatic. >> Yeah, Databricks gone from zero a software sales a few years ago to over a billion. Now it looks like a Snowflake which came out of nowhere and they had a great product, but built on Amazon, they became the data cloud on top of Amazon. And now they're growing just whole new business models and new business development techniques. Katie, thank you for sharing your insight here. The CUBE's closing keynote. Thanks for coming on. >> Appreciate it, thank you. >> Okay, Katie Drucker, Head of Business Development at Madrona Venture Group. Premier VC in the Seattle area and beyond they're doing a lot of cloud action. And of course they know AWS very well and investing in the ecosystem. So great, great stuff there. Next up is Peter Wagner partner at Wing.VX. Love this URL first of all 'cause of the VC domain extension. But Peter is a long time venture capitalist. I've been following his career. He goes back to the old networking days, back when the internet was being connected during the OSI days, when the TCP IP open systems interconnect was really happening and created so much. Well, Peter, great to see you on the CUBE here and congratulations with success at Wing VC. >> Yeah, thanks, John. It's great to be here. I really appreciate you having me. >> Reason why I wanted to have you come on. First of all, you had a great track record in investing over many decades. You've seen many waves of innovation, startups. You've seen all the stories. You've seen the movie a few times, as I say. But now more than ever, enterprise wise it's probably the hottest I've ever seen. And you've got a confluence of many things on the stack. You were also an early seed investor in Snowflake, well-regarded as a huge success. So you've got your eye on some of these awesome deals. Got a great partner over there has got a network experience as well. What is the big aha moment here for the industry? Because it's not your classic enterprise startups anymore. They have multiple things going on and some of the winners are not even known. They come out of nowhere and they connect to enterprise and get the lucrative positions and can create a moat and value. Like out of nowhere, it's not the old way of like going to the airport and doing an RFP and going through the stringent requirements, and then you're in, you get to win the lucrative contract and you're in. Not anymore, that seems to have changed. What's your take on this 'cause people are trying to crack the code here and sometimes you don't have to be well-known. >> Yeah, well, thank goodness the game has changed 'cause that old thing was (indistinct) So I for one don't miss it. There was some modernization movement in the enterprise and the modern enterprise is built on data powered by AI infrastructure. That's an agile workplace. All three of those things are really transformational. There's big investments being made by enterprises, a lot of receptivity and openness to technology to enable all those agendas, and that translates to good prospects for startups. So I think as far as my career goes, I've never seen a more positive or fertile ground for startups in terms of penetrating enterprise, it doesn't mean it's easy to do, but you have a receptive audience on the other side and that hasn't necessarily always been the case. >> Yeah, I got to ask you, I know that you're a big sailor and your family and Franks Lubens also has a boat and sailing metaphor is always good to have 'cause you got to have a race that's being run and they have tactics. And this game that we're in now, you see the successes, there's investment thesises, and then there's also actually bets. And I want to get your thoughts on this because a lot of enterprises are trying to figure out how to evaluate startups and starts also can make the wrong bet. They could sail to the wrong continent and be in the wrong spot. So how do you pick the winners and how should enterprises understand how to pick winners too? >> Yeah, well, one of the real important things right now that enterprise is facing startups are learning how to do and so learning how to leverage product led growth dynamics in selling to the enterprise. And so product led growth has certainly always been important consumer facing companies. And then there's a few enterprise facing companies, early ones that cracked the code, as you said. And some of these examples are so old, if you think about, like the ones that people will want to talk about them and talk about Classy and want to talk about Twilio and these were of course are iconic companies that showed the way for others. But even before that, folks like Solar Winds, they'd go to market model, clearly product red, bottom stuff. Back then we didn't even have those words to talk about it. And then some of the examples are so enormous if think about them like the one right in front of your face, like AWS. (laughing) Pretty good PLG, (indistinct) but it targeted builders, it targeted developers and flipped over the way you think about enterprise infrastructure, as a result some how every company, even if they're harnessing relatively conventional sales and marketing motion, and you think about product led growth as a way to kick that motion off. And so it's not really an either word even more We might think OPLJ, that means there's no sales keep one company not true, but here's a way to set the table so that you can very efficiently use your sales and marketing resources, only have the most attractive targets and ones that are really (indistinct) >> I love the product led growth. I got to ask you because in the networking days, I remember the term inevitability was used being nested in a solution that they're just going to Cisco off router and a firewall is one you can unplug and replace with another vendor. Cisco you'd have to go through no switching costs were huge. So when you get it to the Cloud, how do you see the competitiveness? Because we were riffing on this with Ali, from Databricks where the lock-in might be value. The more value provider is the lock-in. Is their nestedness? Is their intimate ability as a competitive advantage for some of these starts? How do you look at that? Because startups, they're using open source. They want to have a land position in an enterprise, but how do they create that sustainable competitive advantage going forward? Because again, this is what you do. You bet on ones that you can see that could establish a model whatever we want to call it, but a competitive advantage and ongoing nested position. >> Sometimes it has to do with data, John, and so you mentioned Snowflake a couple of times here, a big part of Snowflake's strategy is what they now call the data cloud. And one of the reasons you go there is not to just be able to process data, to actually get access to it, exchange with the partners. And then that of course is a great reason for the customers to come to the Snowflake platform. And so the more data it gets more customers, it gets more data, the whole thing start spinning in the right direction. That's a really big example, but all of these startups that are using ML in a fundamental way, applying it in a novel way, the data modes are really important. So getting to the right data sources and training on it, and then putting it to work so that you can see that in this process better and doing this earlier on that scale. That's a big part of success. Another company that I work with is a good example that I call (indistinct) which works in sales technology space, really crushing it in terms of building better sales organizations both at performance level, in terms of the intelligence level, and just overall revenue attainment using ML, and using novel data sources, like the previously lost data or phone calls or Zoom calls as you already know. So I think the data advantages are really big. And smart startups are thinking through it early. >> It's interest-- >> And they're planning by the way, not to ramble on too much, but they're betting that PLG strategy. So their land option is designed not just to be an interesting way to gain usage, but it's also a way to gain access to data that then enables the expand in a component. >> That is a huge call-out point there, I was going to ask another question, but I think that is the key I see. It's a new go to market in a way. product led with that kind of approach gets you a beachhead and you get a little position, you get some data that is a cloud model, it means variable, whatever you want to call it variable value proposition, value proof, or whatever, getting that data and reiterating it. So it brings up the whole philosophical question of okay, product led growth, I love that with product led growth of data, I get that. Remember the old platform versus a tool? That's the way buyers used to think. How has that changed? 'Cause now almost, this conversation throws out the whole platform thing, but isn't like a platform. >> It looks like it's all. (laughs) you can if it is a platform, though to do that you can reveal that later, but you're looking for adoption, so if it's down stock product, you're looking for adoption by like developers or DevOps people or SOEs, and they're trying to solve a problem, and they want rapid gratification. So they don't want to have an architectural boomimg, placed in front of them. And if it's up stock product and application, then it's a user or the business or whatever that is, is adopting the application. And again, they're trying to solve a very specific problem. You need instant and immediate obvious time and value. And now you have a ticket to the dance and build on that and maybe a platform strategy can gradually take shape. But you know who's not in this conversation is the CIO, it's like, "I'm always the last to know." >> That's the CISO though. And they got him there on the firing lines. CISOs are buying tools like it's nobody's business. They need everything. They'll buy anything or you go meet with sand, they'll buy it. >> And you make it sound so easy. (laughing) We do a lot of security investment if only (indistinct) (laughing) >> I'm a little bit over the top, but CISOs are under a lot of pressure. I would talk to the CISO at Capital One and he was saying that he's on Amazon, now he's going to another cloud, not as a hedge, but he doesn't want to focus development teams. So he's making human resource decisions as well. Again, back to what IT used to be back in the old days where you made a vendor decision, you built around it. So again, clouds play that way. I see that happening. But the question is that I think you nailed this whole idea of cross hairs on the target persona, because you got to know who you are and then go to the market. So if you know you're a problem solving and the lower in the stack, do it and get a beachhead. That's a strategy, you can do that. You can't try to be the platform and then solve a problem at the same time. So you got to be careful. Is that what you were getting at? >> Well, I think you just understand what you're trying to achieve in that line of notion. And how those dynamics work and you just can't drag it out. And they could make it too difficult. Another company I work with is a very strategic cloud data platform. It's a (indistinct) on systems. We're not trying to foist that vision though (laughs) or not adopters today. We're solving some thorny problems with them in the short term, rapid time to value operational needs in scale. And then yeah, once they found success with (indistinct) there's would be an opportunity to be increasing the platform, and an obstacle for those customers. But we're not talking about that. >> Well, Peter, I appreciate you taking the time and coming out of a board meeting, I know that you're super busy and I really appreciate you making time for us. I know you've got an impressive partner in (indistinct) who's a former Sequoia, but Redback Networks part of that company over the years, you guys are doing extremely well, even a unique investment thesis. I'd like you to put the plug in for the firm. I think you guys have a good approach. I like what you guys are doing. You're humble, you don't brag a lot, but you make a lot of great investments. So could you take them in to explain what your investment thesis is and then how that relates to how an enterprise is making their investment thesis? >> Yeah, yeah, for sure. Well, the concept that I described earlier that the modern enterprise movement as a workplace built on data powered by AI. That's what we're trying to work with founders to enable. And also we're investing in companies that build the products and services that enable that modern enterprise to exist. And we do it from very early stages, but with a longterm outlook. So we'll be leading series and series, rounds of investment but staying deeply involved, both operationally financially throughout the whole life cycle of the company. And then we've done that a bunch of times, our goal is always the big independent public company and they don't always make it but enough for them to have it all be worthwhile. An interesting special case of this, and by the way, I think it intersects with some of startup showcase here is in the life sciences. And I know you were highlighting a lot of healthcare websites and deals, and that's a vertical where to disrupt tremendous impact of data both new data availability and new ways to put it to use. I know several of my partners are very focused on that. They call it bio-X data. It's a transformation all on its own. >> That's awesome. And I think that the reason why we're focusing on these verticals is if you have a cloud horizontal scale view and vertically specialized with machine learning, every vertical is impacted by data. It's so interesting that I think, first start, I was probably best time to be a cloud startup right now. I really am bullish on it. So I appreciate you taking the time Peter to come in again from your board meeting, popping out. Thanks for-- (indistinct) Go back in and approve those stock options for all the employees. Yeah, thanks for coming on. Appreciate it. >> All right, thank you John, it's a pleasure. >> Okay, Peter Wagner, Premier VC, very humble Wing.VC is a great firm. Really respect them. They do a lot of great investing investments, Snowflake, and we have Dave Vellante back who knows a lot about Snowflake's been covering like a blanket and Sarbjeet Johal. Cloud Influencer friend of the CUBE. Cloud commentator and cloud experience built clouds, runs clouds now invests. So V. Dave, thanks for coming back on. You heard Peter Wagner at Wing VC. These guys have their roots in networking, which networking back in the day was, V. Dave. You remember the internet Cisco days, remember Cisco, Wellfleet routers. I think Peter invested in Arrow Point, remember Arrow Point, that was about in the 495 belt where you were. >> Lynch's company. >> That was Chris Lynch's company. I think, was he a sales guy there? (indistinct) >> That was his first big hit I think. >> All right, well guys, let's wrap this up. We've got a great program here. Sarbjeet, thank you for coming on. >> No worries. Glad to be here todays. >> Hey, Sarbjeet. >> First of all, really appreciate the Twitter activity lately on the commentary, the observability piece on Jeremy Burton's launch, Dave was phenomenal, but Peter was talking about this dynamic and I think ties this cracking the code thing together, which is there's a product led strategy that feels like a platform, but it's also a tool. In other words, it's not mutually exclusive, the old methods thrown out the window. Land in an account, know what problem you're solving. If you're below the stack, nail it, get data and go from there. If you're a process improvement up the stack, you have to much more of a platform longer-term sale, more business oriented, different motions, different mechanics. What do you think about that? What's your reaction? >> Yeah, I was thinking about this when I was listening to some of the startups pitching, if you will, or talking about what they bring to the table in this cloud scale or cloud era, if you will. And there are tools, there are applications and then they're big monolithic platforms, if you will. And then they're part of the ecosystem. So I think the companies need to know where they play. A startup cannot be platform from the get-go I believe. Now many aspire to be, but they have to start with tooling. I believe in, especially in B2B side of things, and then go into the applications, one way is to go into the application area, if you will, like a very precise use cases for certain verticals and stuff like that. And other parties that are going into the platform, which is like horizontal play, if you will, in technology. So I think they have to understand their age, like how old they are, how new they are, how small they are, because when their size matter when you are procuring as a big business, procuring your technology vendors size matters and the economic viability matters and their proximity to other windows matter as well. So I think we'll jump into that in other discussions later, but I think that's key, as you said. >> I would agree with that. I would phrase it in my mind, somewhat differently from Sarbjeet which is you have product led growth, and that's your early phase and you get product market fit, you get product led growth, and then you expand and there are many, many examples of this, and that's when you... As part of your team expansion strategy, you're going to get into the platform discussion. There's so many examples of that. You take a look at Ali Ghodsi today with what's happening at Databricks, Snowflake is another good example. They've started with product led growth. And then now they're like, "Okay, we've got to expand the team." Okta is another example that just acquired zero. That's about building out the platform, versus more of a point product. And there's just many, many examples of that, but you cannot to your point, very hard to start with a platform. Arm did it, but that was like a one in a million chance. >> It's just harder, especially if it's new and it's not operationalized yet. So one of the things Dave that we've observed the Cloud is some of the best known successes where nobody's not known at all, database we've been covering from the beginning 'cause we were close to that movement when they came out of Berkeley. But they still were misunderstood and they just started generating revenue in only last year. So again, only a few years ago, zero software revenue, now they're approaching a billion dollars. So it's not easy to make these vendor selections anymore. And if you're new and you don't have someone to operate it or your there's no department and the departments changing, that's another problem. These are all like enterprisey problems. What's your thoughts on that, Dave? >> Well, I think there's a big discussion right now when you've been talking all day about how should enterprise think about startups and think about most of these startups they're software companies and software is very capital efficient business. At the same time, these companies are raising hundreds of millions, sometimes over a billion dollars before they go to IPO. Why is that? A lot of it's going to promotion. I look at it as... And there's a big discussion going on but well, maybe sales can be more efficient and more direct and so forth. I really think it comes down to the golden rule. Two things really mattered in the early days in the startup it's sales and engineering. And writers should probably say engineering and sales and start with engineering. And then you got to figure out your go to market. Everything else is peripheral to those two and you don't get those two things right, you struggle. And I think that's what some of these successful startups are proving. >> Sarbjeet, what's your take on that point? >> Could you repeat the point again? Sorry, I lost-- >> As cloud scale comes in this whole idea of competing, the roles are changing. So look at IOT, look at the Edge, for instance, you got all kinds of new use cases that no one actually knows is a problem to solve. It's just pure opportunity. So there's no one's operational I could have a product, but it don't know we can buy it yet. It's a problem. >> Yeah, I think the solutions have to be point solutions and the startups need to focus on the practitioners, number one, not the big buyers, not the IT, if you will, but the line of business, even within that sphere, like just focus on the practitioners who are going to use that technology. I talked to, I think it wasn't Fiddler, no, it was CoreLogics. I think that story was great today earlier in how they kind of struggle in the beginning, they were trying to do a big bang approach as a startup, but then they almost stumbled. And then they found their mojo, if you will. They went to Don the market, actually, that's a very classic theory of disruption, like what we study from Harvard School of Business that you go down the market, go to the non-consumers, because if you're trying to compete head to head with big guys. Because most of the big guys have lot of feature and functionality, especially at the platform level. And if you're trying to innovate in that space, you have to go to the practitioners and solve their core problems and then learn and expand kind of thing. So I think you have to focus on practitioners a lot more than the traditional oracle buyers. >> Sarbjeet, we had a great thread last night in Twitter, on observability that you started. And there's a couple of examples there. Chaos searches and relatively small company right now, they just raised them though. And they're part of this star showcase. And they could've said, "Hey, we're going to go after Splunk." But they chose not to. They said, "Okay, let's kind of disrupt the elk stack and simplify that." Another example is a company observed, you've mentioned Jeremy Burton's company, John. They're focused really on SAS companies. They're not going after initially these complicated enterprise deals because they got to get it right or else they'll get churn, and churn is that silent killer of software companies. >> The interesting other company that was on the showcase was Tetra Science. I don't know if you noticed that one in the life science track, and again, Peter Wagner pointed out the life science. That's an under recognized in the press vertical that's exploding. Certainly during the pandemic you saw it, Tetra science is an R&D cloud, Dave, R&D data cloud. So pharmaceuticals, they need to do their research. So the pandemic has brought to life, this now notion of tapping into data resources, not just data lakes, but like real deal. >> Yeah, you and Natalie and I were talking about that this morning and that's one of the opportunities for R&D and you have all these different data sources and yeah, it's not just about the data lake. It's about the ecosystem that you're building around them. And I see, it's really interesting to juxtapose what Databricks is doing and what Snowflake is doing. They've got different strategies, but they play a part there. You can see how ecosystems can build that system. It's not one company is going to solve all these problems. It's going to really have to be connections across these various companies. And that's what the Cloud enables and ecosystems have all this data flowing that can really drive new insights. >> And I want to call your attention to a tweet Sarbjeet you wrote about Splunk's earnings and they're data companies as well. They got Teresa Carlson there now AWS as the president, working with Doug, that should change the game a little bit more. But there was a thread of the neath there. Andy Thry says to replies to Dave you or Sarbjeet, you, if you're on AWS, they're a fine solution. The world doesn't just revolve around AWS, smiley face. Well, a lot of it does actually. So (laughing) nice point, Andy. But he brings up this thing and Ali brought it up too, Hybrid now is a new operating system for what now Edge does. So we got Mobile World Congress happening this month in person. This whole Telco 5G brings up a whole nother piece of the Cloud puzzle. Jeff Barr pointed out in his keynote, Dave. Guys, I want to get your reaction. The Edge now is... I'm calling it the super Edge because it's not just Edge as we know it before. You're going to have these pops, these points of presence that are going to have wavelength as your spectrum or whatever they have. I think that's the solution for Azure. So you're going to have all this new cloud power for low latency applications. Self-driving delivery VR, AR, gaming, Telemetry data from Teslas, you name it, it's happening. This is huge, what's your thoughts? Sarbjeet, we'll start with you. >> Yeah, I think Edge is like bound to happen. And for many reasons, the volume of data is increasing. Our use cases are also expanding if you will, with the democratization of computer analysis. Specialization of computer, actually Dave wrote extensively about how Intel and other chip players are gearing up for that future if you will. Most of the inference in the AI world will happen in the field close to the workloads if you will, that can be mobility, the self-driving car that can be AR, VR. It can be healthcare. It can be gaming, you name it. Those are the few use cases, which are in the forefront and what alarm or use cases will come into the play I believe. I've said this many times, Edge, I think it will be dominated by the hyperscalers, mainly because they're building their Metro data centers now. And with a very low latency in the Metro areas where the population is, we're serving the people still, not the machines yet, or the empty areas where there is no population. So wherever the population is, all these big players are putting their data centers there. And I think they will dominate the Edge. And I know some Edge lovers. (indistinct) >> Edge huggers. >> Edge huggers, yeah. They don't like the hyperscalers story, but I think that's the way were' going. Why would we go backwards? >> I think you're right, first of all, I agree with the hyperscale dying you look at the top three clouds right now. They're all in the Edge, Hardcore it's a huge competitive battleground, Dave. And I think the missing piece, that's going to be uncovered at Mobile Congress. Maybe they'll miss it this year, but it's the developer traction, whoever wins the developer market or wins the loyalty, winning over the market or having adoption. The applications will drive the Edge. >> And I would add the fourth cloud is Alibaba. Alibaba is actually bigger than Google and they're crushing it as well. But I would say this, first of all, it's popular to say, "Oh not everything's going to move into the Cloud, John, Dave, Sarbjeet." But the fact is that AWS they're trend setter. They are crushing it in terms of features. And you'd look at what they're doing in the plumbing with Annapurna. Everybody's following suit. So you can't just ignore that, number one. Second thing is what is the Edge? Well, the edge is... Where's the logical place to process the data? That's what the Edge is. And I think to your point, both Sarbjeet and John, the Edge is going to be won by developers. It's going to be one by programmability and it's going to be low cost and really super efficient. And most of the data is going to stay at the Edge. And so who is in the best position to actually create that? Is it going to be somebody who was taking an x86 box and throw it over the fence and give it a fancy name with the Edge in it and saying, "Here's our Edge box." No, that's not what's going to win the Edge. And so I think first of all it's huge, it's wide open. And I think where's the innovation coming from? I agree with you it's the hyperscalers. >> I think the developers as John said, developers are the kingmakers. They build the solutions. And in that context, I always talk about the skills gravity, a lot of people are educated in certain technologies and they will keep using those technologies. Their proximity to that technology is huge and they don't want to learn something new. So as humans we just tend to go what we know how to use it. So from that front, I usually talk with consumption economics of cloud and Edge. It has to focus on the practitioners. And in this case, practitioners are developers because you're just cooking up those solutions right now. We're not serving that in huge quantity right now, but-- >> Well, let's unpack that Sarbjeet, let's unpack that 'cause I think you're right on the money on that. The consumption of the tech and also the consumption of the application, the end use and end user. And I think the reason why hyperscalers will continue to dominate besides the fact that they have all the resource and they're going to bring that to the Edge, is that the developers are going to be driving the applications at the Edge. So if you're low latency Edge, that's going to open up new applications, not just the obvious ones I did mention, gaming, VR, AR, metaverse and other things that are obvious. There's going to be non-obvious things that are going to be huge that are going to come out from the developers. But the Cloud native aspect of the hyperscalers, to me is where the scales are tipping, let me explain. IT was built to build a supply resource to the businesses who were writing business applications. Mostly driven by IBM in the mainframe in the old days, Dave, and then IT became IT. Telcos have been OT closed, "This is our thing, that's it." Now they have to open up. And the Cloud native technologies is the fastest way to value. And I think that paths, Sarbjeet is going to be defined by this new developer and this new super Edge concept. So I think it's going to be wide open. I don't know what to say. I can't guess, but it's going to be creative. >> Let me ask you a question. You said years ago, data's new development kit, does low code and no code to Sarbjeet's point, change the equation? In other words, putting data in the hands of those OT professionals, those practitioners who have the context. Does low-code and no-code enable, more of those protocols? I know it's a bromide, but the citizen developer, and what impact does that have? And who's in the best position? >> Well, I think that anything that reduces friction to getting stuff out there that can be automated, will increase the value. And then the question is, that's not even a debate. That's just fact that's going to be like rent, massive rise. Then the issue comes down to who has the best asset? The software asset that's eating the world or the tower and the physical infrastructure. So if the physical infrastructure aka the Telcos, can't generate value fast enough, in my opinion, the private equity will come in and take it over, and then refactor that business model to take advantage of the over the top software model. That to me is the big stare down competition between the Telco world and this new cloud native, whichever one yields in valley is going to blink first, if you say. And I think the Cloud native wins this one hands down because the assets are valuable, but only if they enable the new model. If the old model tries to hang on to the old hog, the old model as the Edge hugger, as Sarbjeet says, they'll just going to slowly milk that cow dry. So it's like, it's over. So to me, they have to move. And I think this Mobile World Congress day, we will see, we will be looking for that. >> Yeah, I think that in the Mobile World Congress context, I think Telcos should partner with the hyperscalers very closely like everybody else has. And they have to cave in. (laughs) I usually say that to them, like the people came in IBM tried to fight and they cave in. Other second tier vendors tried to fight the big cloud vendors like top three or four. And then they cave in. okay, we will serve our stuff through your cloud. And that's where all the buyers are congregating. They're going to buy stuff along with the skills gravity, the feature proximity. I've got another term I'll turn a coin. It matters a lot when you're doing one thing and you want to do another thing when you're doing all this transactional stuff and regular stuff, and now you want to do data science, where do you go? You go next to it, wherever you have been. Your skills are in that same bucket. And then also you don't have to write a new contract with a new vendor, you just go there. So in order to serve, this is a lesson for startups as well. You need to prepare yourself for being in the Cloud marketplaces. You cannot go alone independently to fight. >> Cloud marketplace is going to replace procurement, for sure, we know that. And this brings up the point, Dave, we talked about years ago, remember on the CUBE. We said, there's going to be Tier two clouds. I used that word in quotes cause nothing... What does it even mean Tier two. And we were talking about like Amazon, versus Microsoft and Google. We set at the time and Alibaba but they're in China, put that aside for a second, but the big three. They're going to win it all. And they're all going to be successful to a relative terms, but whoever can enable that second tier. And it ended up happening, Snowflake is that example. As is Databricks as is others. So Google and Microsoft as fast as they can replicate the success of AWS by enabling someone to build their business on their cloud in a way that allows the customer to refactor their business will win. They will win most of the lion's share my opinion. So I think that applies to the Edge as well. So whoever can come in and say... Whichever cloud says, "I'm going to enable the next Snowflake, the next enterprise solution." I think takes it. >> Well, I think that it comes back... Every conversation coming back to the data. And if you think about the prevailing way in which we treated data with the exceptions of the two data driven companies in their quotes is as we've shoved all the data into some single repository and tried to come up with a single version of the truth and it's adjudicated by a centralized team, with hyper specialized roles. And then guess what? The line of business, there's no context for the business in that data architecture or data Corpus, if you will. And then the time it takes to go from idea for a data product or data service commoditization is way too long. And that's changing. And the winners are going to be the ones who are able to exploit this notion of leaving data where it is, the point about data gravity or courting a new term. I liked that, I think you said skills gravity. And then enabling the business lines to have access to their own data teams. That's exactly what Ali Ghodsi, he was saying this morning. And really having the ability to create their own data products without having to go bow down to an ivory tower. That is an emerging model. All right, well guys, I really appreciate the wrap up here, Dave and Sarbjeet. I'd love to get your final thoughts. I'll just start by saying that one of the highlights for me was the luminary guests size of 15 great companies, the luminary guests we had from our community on our keynotes today, but Ali Ghodsi said, "Don't listen to what everyone's saying in the press." That was his position. He says, "You got to figure out where the puck's going." He didn't say that, but I'm saying, I'm paraphrasing what he said. And I love how he brought up Sky Cloud. I call it Sky net. That's an interesting philosophy. And then he also brought up that machine learning auto ML has got to be table stakes. So I think to me, that's the highlight walk away. And the second one is this idea that the enterprises have to have a new way to procure and not just the consumption, but some vendor selection. I think it's going to be very interesting as value can be proved with data. So maybe the procurement process becomes, here's a beachhead, here's a little bit of data. Let me see what it can do. >> I would say... Again, I said it was this morning, that the big four have given... Last year they spent a hundred billion dollars more on CapEx. To me, that's a gift. In so many companies, especially focusing on trying to hang onto the legacy business. They're saying, "Well not everything's going to move to the Cloud." Whatever, the narrative should change to, "Hey, thank you for that gift. We're now going to build value on top of the Cloud." Ali Ghodsi laid that out, how Databricks is doing it. And it's clearly what Snowflake's new with the data cloud. It basically a layer that abstracts all that underlying complexity and add value on top. Eventually going out to the Edge. That's a value added model that's enabled by the hyperscalers. And that to me, if I have to evaluate where I'm going to place my bets as a CIO or IT practitioner, I'm going to look at who are the ones that are actually embracing that investment that's been made and adding value on top in a way that can drive my data-driven, my digital business or whatever buzzword you want to throw on. >> Yeah, I think we were talking about the startups in today's sessions. I think for startups, my advice is to be as close as you can be to hyperscalers and anybody who awards them, they will cave in at the end of the day, because that's where the whole span of gravity is. That's what the innovation gravity is, everybody's gravitating towards that. And I would say quite a few times in the last couple of years that the rate of innovation happening in a non-cloud companies, when I talk about non-cloud means are not public companies. I think it's like diminishing, if you will, as compared to in cloud, there's a lot of innovation. The Cloud companies are not paying by power people anymore. They have all sophisticated platforms and leverage those, and also leverage the marketplaces and leverage their buyers. And the key will be how you highlight yourself in that cloud market place if you will. It's like in a grocery store where your product is placed and you have to market around it, and you have to have a good story telling team in place as well after you do the product market fit. I think that's a key. I think just being close to the Cloud providers, that's the way to go for startups. >> Real, real quick. Each of you talk about what it takes to crack the code for the enterprise in the modern era now. Dave, we'll start with you. What's it take? (indistinct) >> You got to have it be solving a problem that is 10X better at one 10th a cost of anybody else, if you're a small company, that rule number one. Number two is you obviously got to get product market fit. You got to then figure out. And I think, and again, you're in your early phases, you have to be almost processed builders, figure out... Your KPIs should all be built around retention. How do I define customer success? How do I keep customers and how do I make them loyal so that I know that my cost of acquisition is going to be at least one-third or lower than my lifetime value of that customer? So you've got to nail that. And then once you nail that, you've got to codify that process in the next phase, which really probably gets into your platform discussion. And that's really where you can start to standardize and scale and figure out your go to market and the relationship between marketing spend and sales productivity. And then when you get that, then you got to move on to figure out your Mot. Your Mot might just be a brand. It might be some secret sauce, but more often than not though, it's going to be the relationship that you build. And I think you've got to think about those phases and in today's world, you got to move really fast. Sarbjeet, real quick. What's the secret to crack the code? >> I think the secret to crack the code is partnership and alliances. As a small company selling to the bigger enterprises, the vendors size will be one of the big objections. Even if they don't say it, it's on the back of their mind, "What if these guys disappear tomorrow what would we do if we pick this technology?" And another thing is like, if you're building on the left side, which is the developer side, not on the right side, which is the operations or production side, if you will, you have to understand the sales cycles are longer on the right side and left side is easier to get to, but that's why we see a lot more startups. And on the left side of your DevOps space, if you will, because it's easier to sell to practitioners and market to them and then show the value correctly. And also understand that on the left side, the developers are very know how hungry, on the right side people are very cost-conscious. So understanding the traits of these different personas, if you will buyers, it will, I think set you apart. And as Dave said, you have to solve a problem, focus on practitioners first, because you're small. You have to solve political problems very well. And then you can expand. >> Well, guys, I really appreciate the time. Dave, we're going to do more of these, Sarbjeet we're going to do more of these. We're going to add more community to it. We're going to add our community rooms next time. We're going to do these quarterly and try to do them as more frequently, we learned a lot and we still got a lot more to learn. There's a lot more contribution out in the community that we're going to tap into. Certainly the CUBE Club as we call it, Dave. We're going to build this actively around Cloud. This is another 20 years. The Edge brings us more life with Cloud, it's really exciting. And again, enterprise is no longer an enterprise, it's just the world now. So great companies here, the next Databricks, the next IPO. The next big thing is in this list, Dave. >> Hey, John, we'll see you in Barcelona. Looking forward to that. Sarbjeet, I know in a second half, we're going to run into each other. So (indistinct) thank you John. >> Trouble has started. Great talking to you guys today and have fun in Barcelona and keep us informed. >> Thanks for coming. I want to thank Natalie Erlich who's in Rome right now. She's probably well past her bedtime, but she kicked it off and emceeing and hosting with Dave and I for this AW startup showcase. This is batch two episode two day. What do we call this? It's like a release so that the next 15 startups are coming. So we'll figure it out. (laughs) Thanks for watching everyone. Thanks. (bright music)

>>from >>around the >>globe, it's the >>cube with digital >>coverage of IBM, >>Think 2021 >>brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube, had a great line up here talking sustainability. Kary musa ph d general manager of AI applications and block chains, career great to see you and wayne both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you. What's driving? IBMS investment sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>you know, johN what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM is 100 10 year old company. We've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation, that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental, our stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. C. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence really it's about recognizing that good environmental management makes good business sense. It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson that IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error. How is that evolved in today's focus? Because you know, we see data centers, carbon footprint, global warming, you now have uh A I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So, you know, these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that. And that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they say, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. We supported the Paris agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council, which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term >>action. That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna. We leave you in here, you're the general manager. You you've got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're in the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right? Is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, all of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and the context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those needs. >>You know, I've covered it in the past and written about and also talked about the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because this waste involved is also disruption to business a security issues. But when you really move into the Ai side, how does a company scale that Corinne? Because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right? So we have helped clients like a tear with their seafood network or the shrimp sustainability network, where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you onboard them and off board them off the network. So that's how we begin to put A. I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours, he uses maximum to really focus on the maintenance and sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection, actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging ai to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed um for our clients. >>It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, It's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh, how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now, thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation, which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, NGos and Academia. Some examples. There's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zar in that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment programs science policy business form that gets us involved with many ministers of environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'm just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under Call for Code in 2021 calls for solutions targeted the climate change. So that's that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much, Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being in what we like to turn clients zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing, that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative. Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. Mhm. Mhm. Mhm.

>>From around the globe, it's the Cube with digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cubes coverage of IBM Think 2021 virtual, I'm john for your host of the cube. We had a great line up here talking sustainability, kary musa ph d general manager of AI applications and block chains going great to see you and wayne, both the vice president of corporate environmental affairs and chief sustainability officer, among other things involved in the products around that. Wait and korean, great to see you. Thanks for coming on. >>Thank you for having us. >>Well, I'll start with you what's driving? IBMS investment in sustainability as a corporate initiative. We know IBM has been active, we've covered this many times, but there's more drivers now as IBM has more of a larger global scope and continues to do that with hybrid cloud, it's much more of a global landscape. What's driving today's investments in sustainability, >>You know, jOHn what drives IBM in this area has always been a longstanding, mature and deep seated belief in corporate responsibility. That's the bedrock foundation. So, you know, IBM 110 year old company, we've always strived to be socially responsible, But what's not as well known is that for the last 50 years, IBM has truly regarded environmental sustainability is a strategic imperative. Okay, It's strategic because hey, environmental problems require a strategic fix. It's a long term imperative because you have to be persistent with environmental problems, you don't necessarily solve them overnight. And it's imperative because business cannot succeed in a world of environmental degradation that really is the main tenant of sustainable development. You can't have successful economies with environmental degradation, you can't solving environmental problems without successful economies. So, and IBM's case as a long standing company, We were advantaged because 50 years ago our ceo at the time, Tom Watson put in place the company's first policy for environmental a stewardship and we've been at it ever since. And he did that in 1971 and that was just six months after the U. S. E. P. A. Was created. It was a year before the Stockholm Conference on the Environment. So we've been added for that long. Um in essence, really it's about recognizing that good environmental management makes good business sense, It's about corporate responsibility and today it's the E of E. S. G. >>You know, wayne. That's a great call out, by the way, referencing thomas Watson, the IBM legend. Um people who don't may not know the history, he was really ahead of its time and that was a lot of the culture they still see around today. So great to see that focus and great, great call out there. But I will ask though, as you guys evolved in today's modern error, how has that evolved in today's focus? Because, you know, we see data centers, carbon footprint, global warming, you now have a I and analytics can measure everything. So I mean you can you can measure everything now. So as the world gets larger in the surface area of what is contributing to the sustainable equation is larger, what's the current IBM focus? >>So these days we continually look at all of the ways in which IBM s day to day business practices intersect with any matter of the environment, whether it's materials, waste water or energy and climate. And IBM actually has 21 voluntary goals that drive us towards leadership. But today john as you know, uh the headline is really climate change and so we're squarely focused like many others on that and that's an imperative. But let me say before I just before I briefly tell you our current goals, it's also important to have context as to where we have been because that helps people understand what we're doing today. And so again, climate change is a topic that the men and women of IBM have paid attention to for a long time. Yeah, I was think about it. It was back in 1992 that the U. S. C. P. A. Created something called Energy Star. People look at that and they said, well, what's that all about? Okay, that's all about climate change. Because the most environmentally friendly energy you can get is the energy that you don't really need to consume. IBM was one of eight companies that helped the U. S. C. P. A. Launched that program 1992. Today we're all disclosing C. 02 emissions. IBM began doing that in 1994. Okay. In 2007, 13 years ago, I'd be unpublished. Its position on climate change, calling for urgent action around the world. He supported the Paris Agreement 2015. We reiterated that support in 2017 for the us to remain a partner. 2019, we became a founding member of Climate Leadership Council which calls for a carbon tax and a carbon dividend. So that's all background context. Today, we're working on our third renewable electricity goal, our fifth greenhouse gas emissions reduction goal and we set a new goal to achieve net zero greenhouse gas emissions. Each of those three compels IBM to near term action. >>That's awesome wayne as corporate environmental affairs and chief sustainable, great vision and awesome work. Karim dr Karim use if I wanna we leave you in here, you're the general manager. You you got to make this work because of the corporate citizenship that IBM is displaying. Obviously world world class, we know that's been been well reported and known, but now it's a business model. People realize that it's good business to have sustainability, whether it's carbon neutral footprints and or intersecting and contributing for the world and their employees who want mission driven companies ai and Blockchain, that's your wheelhouse. This is like you're on the big wave, wow, this is happening, give us your view because you're commercializing this in real time. >>Yeah, look as you've already said and it's the way well articulated, this is a business imperative, right is key to all companies corporate strategies. So the first step when you think about operationalized in this is what we've been doing, is to really step back and kind of break this down into what we call five key needs or focus areas that we've understood that we work with our clients. Remember in this context, Wayne is indeed my clients as well. Right. And so when you think about it, the five needs, as we like to lay them out, we talk about the sustainability strategy first of all, how are you approaching it as you saw from Wayne, identifying your key goals and approaches right against that, you begin to get into various areas and dimensions. Climate risk management is becoming increasingly important, especially in asset heavy industries electrification, energy and emissions management, another key focus area where we can bring technology to bear resilient infrastructure and operations, sustainable supply chain, All of these kind of come together to really connect with our clients business operations and allows us to bring together the technologies and context of ai Blockchain and the key business operations. We can support to kind of begin to address specific news cases in the context of those >>needs. You know, I've covered it in the past and written about and also talked about on the cube about sustainability on the supply chain side with Blockchain, whether it's your tracking, you know, um you know, transport of goods with with Blockchain and making sure that that kind of leads your kind of philosophy works because there's waste involved is also disruption to business, a security issues, but when you really move into the Ai side, how does a company scale that Corinne, because now, you know, I have to one operationalize it and then scale it. Okay, so that's transformed, innovate and scale. How do I take take me through the examples of how that works >>well, I think really key to that, and this is really key to our ethos, it's enabling ai for business by integrating ai directly into business operations and decision making. So it's not really how can I put this? We try to make it so that the client isn't fixating on trying to deploy ai, they're just leveraging Ai. So as you say, let's take some practical examples. You talked about sustainable supply chains and you know, the key needs around transparency and provenance. Right. So we have helped clients like a tear with their seafood network or the shrimp sustainability network where there's a big focus on understanding where are things being sourced and how they're moving through the supply chain. We also have a responsible sourcing business network that's being used for cobalt in batteries as an example from mine to manufacturing and here our technologies are allowing us to essentially track, trace and prove the provenance Blockchain serves as kind of that key shared ledger to pull all this information together. But we're leveraging AI to begin to quickly assess based upon the data inputs, the actual state of inventory, how to connect dots across multiple suppliers and as you on board in an off board them off the network. So that's how we begin to put A I in action so that the client begins to fixate on the work and the decisions they need to make. Not the AI itself. Another quick example would be in the context of civil infrastructure. One of our clients son and Belt large, maximum client of ours he uses maximum too rarely focus on the maintaining sustainable maintenance of their bridges. Think about how much money is spent setting up to do bridge inspections right. When you think about how much they have to invest the stopping of the traffic that scaffolding. We have been leveraging AI to do things like visual inspection. Actually fly drones, take pictures, assess those images to identify cracks and use that to route and prioritized work. Similar examples are occurring in energy and utilities focused on vegetation management where we're leveraging AI to analyse satellite imagery, weather data and bringing it together so that work can be optimally prior authorized and deployed for our >>clients. It's interesting. One of the themes coming out of think that I'm observing is this notion of transformation is innovation and innovation is about scale. Right? So it's not just innovation for innovating sake. You can transform from whether it's bridge inspections to managing any other previous pre existing kind of legacy condition and bring that into a modern error and then scale it with data. This is a common theme. It applies to to your examples. Kareem, that's super valuable. Um how do you how do you tie that together with partnering? Because wayne you were talking about the corporate initiative, that's just IBM we learned certainly in cybersecurity and now these other areas like sustainability, it's a team sport, you have to work on a global footprint with other industries and other leaders. How was I being working across the industry to connect and work with other, either initiatives or companies or governments. >>Sure. And there have been john over the years and at present a number of diverse collaborations that we seek out and we participate in. But before I address that, I just want to amplify something Kareem said, because it's so important, as I look back at the environmental movement over the last 50 years, frankly, since the first earth day in 1970, I, you know, with the benefit of hindsight, I observed there have really been three different hair, it's in the very beginning, global societies had to enact laws to control pollution that was occurring. That was the late 60s 1970s, into the early 1980s and around the early 1980s through to the first part of this century, that era of let's get control of this sort of transformed, oh how can we prevent stuff from happening given the way we've always done business and that area ran for a while. But now thanks to technology and data and things like Blockchain and ai we all have the opportunity to move into this era of innovation which differs from control in which differs from traditional prevention. Innovation is about changing the way you get the same thing done. And the reason that's enabled is because of the tools that you just spoke about with Korean. So how do we socialize these opportunities? Well to your question, we interact with a variety of diverse teams, government, different business associations, Ngos and Academia. Some examples, there's an organization named the Center for Climate and Energy Solutions, which IBM is a founding member of its Business Leadership Council. Its predecessor was the Q Centre on global climate change. We've been involved with that since 1998. That is a cross section of people from all these different constituencies who are looking for solutions to climate. Many Fortune 102000s in there were part of the green grid. The green grid is an organization of companies involved with data centers and it's constantly looking at how do you measure energy efficiency and data centers and what are best practices to reduce consumption of energy at data centers where a member of the renewable energy buyers alliance? Many Fortune 100 200 Zarin that trying to apply scale to procure more renewable electricity to actually come to our facilities I mentioned earlier were part of the Climate Leadership Council calling for a carbon tax were part of the United Nations Environment Programs science Policy business form that gets us involved with many ministers of Environment from countries around the world. We recently joined the new MITt Climate and sustainability consortium. Mitt Premier Research University. Many key leaders are part of that. Looking at how academic research can supercharge this opportunity for innovation and then the last one, I'll just wrap up call for code. You may be familiar with IBM s involvement in call for code. Okay. The current challenge under call for code in 2021 calls for solutions targeted the climate change. So that's, that's a diverse set of different constituents, different types of people. But we try to get involved with all of them because we learn and hopefully we contribute something along the way as well. >>Awesome Wayne. Thank you very much Karim, the last 30 seconds we got here. How do companies partner with IBM if they want to connect in with the mission and the citizenship that you guys are doing? How do they bring that to their company real quick. Give us a quick overview. >>Well, you know, it's really quite simple. Many of these clients are already clients of ours were engaging with them in the marketplace today, right, trying to make sure we understand their needs, trying to ensure that we tune what we've got to offer, both in terms of product and consulting services with our GPS brethren, you know, to meet their needs, linking that in as well to IBM being and what we like to turn client zero. We're also applying these same technologies and capabilities to support IBM efforts. And so as they engage in all these associations, what IBM is doing that also provides a way to really get started. It's really fixate on those five imperatives or needs are laid out, picked kind of a starting point and tie it to something that matters. That changes how you're doing something today. That's really the key. As far as uh we're concerned, >>Karim, we thank you for your time on sustainability. Great initiative, Congratulations on the continued mission. Going back to the early days of IBM and the Watson generation continuing out in the modern era. Congratulations and thanks for sharing. >>Thank you john. >>Okay. It's the cubes coverage. I'm sean for your host. Thanks for watching. >>Mm. Mhm.

>>welcome. My name is Ben Bennett. I am the director of HPC Strategic programs here at Hewlett Packard Enterprise. It is my great pleasure and honor to be talking to Professor Mark Parsons from the Edinburgh Parallel Computing Center. And we're gonna talk a little about exa scale. What? It means we're gonna talk less about the technology on Maura about the science, the requirements on the need for exa scale. Uh, rather than a deep dive into the enabling technologies. Mark. Welcome. >>I then thanks very much for inviting me to tell me >>complete pleasure. Um, so I'd like to kick off with, I suppose. Quite an interesting look back. You and I are both of a certain age 25 plus, Onda. We've seen these milestones. Uh, I suppose that the S I milestones of high performance computing's come and go, you know, from a gig a flop back in 1987 teraflop in 97 a petaflop in 2000 and eight. But we seem to be taking longer in getting to an ex a flop. Um, so I'd like your thoughts. Why is why is an extra flop taking so long? >>So I think that's a very interesting question because I started my career in parallel computing in 1989. I'm gonna join in. IPCC was set up then. You know, we're 30 years old this year in 1990 on Do you know the fastest computer we have them is 800 mega flops just under a getting flogged. So in my career, we've gone already. When we reached the better scale, we'd already gone pretty much a million times faster on, you know, the step from a tariff block to a block scale system really didn't feel particularly difficult. Um, on yet the step from A from a petaflop PETA scale system. To an extent, block is a really, really big challenge. And I think it's really actually related to what's happened with computer processes over the last decade, where, individually, you know, approached the core, Like on your laptop. Whoever hasn't got much faster, we've just got more often So the perception of more speed, but actually just being delivered by more course. And as you go down that approach, you know what happens in the supercomputing world as well. We've gone, uh, in 2010 I think we had systems that were, you know, a few 1000 cores. Our main national service in the UK for the last eight years has had 118,000 cores. But looking at the X scale we're looking at, you know, four or five million cores on taming that level of parallelism is the real challenge. And that's why it's taking an enormous and time to, uh, deliver these systems. That is not just on the hardware front. You know, vendors like HP have to deliver world beating technology and it's hard, hard. But then there's also the challenge to the users. How do they get the codes to work in the face of that much parallelism? >>If you look at what the the complexity is delivering an annex a flop. Andi, you could have bought an extra flop three or four years ago. You couldn't have housed it. You couldn't have powered it. You couldn't have afforded it on, do you? Couldn't program it. But you still you could have You could have bought one. We should have been so lucky to be unable to supply it. Um, the software, um I think from our standpoint, is is looking like where we're doing mawr enabling with our customers. You sell them a machine on, then the the need then to do collaboration specifically seems mawr and Maura around the software. Um, so it's It's gonna be relatively easy to get one x a flop using limb pack, but but that's not extra scale. So what do you think? On exa scale machine versus an X? A flop machine means to the people like yourself to your users, the scientists and industry. What is an ex? A flop versus >>an exa scale? So I think, you know, supercomputing moves forward by setting itself challenges. And when you when you look at all of the excess scale programs worldwide that are trying to deliver systems that can do an X a lot form or it's actually very arbitrary challenge. You know, we set ourselves a PETA scale challenge delivering a petaflop somebody manage that, Andi. But you know, the world moves forward by setting itself challenges e think you know, we use quite arbitrary definition of what we mean is well by an exit block. So, you know, in your in my world, um, we either way, first of all, see ah flop is a computation, so multiply or it's an ad or whatever on we tend. Thio, look at that is using very high precision numbers or 64 bit numbers on Do you know, we then say, Well, you've got to do the next block. You've got to do a billion billion of those calculations every second. No, a some of the last arbitrary target Now you know today from HPD Aiken by my assistant and will do a billion billion calculations per second. And they will either do that as a theoretical peak, which would be almost unattainable, or using benchmarks that stressed the system on demonstrate a relaxing law. But again, those benchmarks themselves attuned Thio. Just do those calculations and deliver and explore been a steady I'll way if you like. So, you know, way kind of set ourselves this this this big challenge You know, the big fence on the race course, which were clambering over. But the challenge in itself actually should be. I'm much more interesting. The water we're going to use these devices for having built um, eso. Getting into the extra scale era is not so much about doing an extra block. It's a new generation off capability that allows us to do better scientific and industrial research. And that's the interesting bit in this whole story. >>I would tend to agree with you. I think the the focus around exa scale is to look at, you know, new technologies, new ways of doing things, new ways of looking at data and to get new results. So eventually you will get yourself a nexus scale machine. Um, one hopes, sooner rather >>than later. Well, I'm sure you don't tell me one, Ben. >>It's got nothing to do with may. I can't sell you anything, Mark. But there are people outside the door over there who would love to sell you one. Yes. However, if we if you look at your you know your your exa scale machine, Um, how do you believe the workloads are going to be different on an extra scale machine versus your current PETA scale machine? >>So I think there's always a slight conceit when you buy a new national supercomputer. On that conceit is that you're buying a capability that you know on. But many people will run on the whole system. Known truth. We do have people that run on the whole of our archer system. Today's A 118,000 cores, but I would say, and I'm looking at the system. People that run over say, half of that can be counted on Europe on a single hand in a year, and they're doing very specific things. It's very costly simulation they're running on. So, you know, if you look at these systems today, two things show no one is. It's very difficult to get time on them. The Baroque application procedures All of the requirements have to be assessed by your peers and your given quite limited amount of time that you have to eke out to do science. Andi people tend to run their applications in the sweet spot where their application delivers the best performance on You know, we try to push our users over time. Thio use reasonably sized jobs. I think our average job says about 20,000 course, she's not bad, but that does mean that as we move to the exits, kill two things have to happen. One is actually I think we've got to be more relaxed about giving people access to the system, So let's give more people access, let people play, let people try out ideas they've never tried out before. And I think that will lead to a lot more innovation and computational science. But at the same time, I think we also need to be less precious. You know, we to accept these systems will have a variety of sizes of job on them. You know, we're still gonna have people that want to run four million cores or two million cores. That's absolutely fine. Absolutely. Salute those people for trying really, really difficult. But then we're gonna have a huge spectrum of views all the way down to people that want to run on 500 cores or whatever. So I think we need Thio broaden the user base in Alexa Skill system. And I know this is what's happening, for example, in Japan with the new Japanese system. >>So, Mark, if you cast your mind back to almost exactly a year ago after the HPC user forum, you were interviewed for Premier Magazine on Do you alluded in that article to the needs off scientific industrial users requiring, you know, uh on X a flop or an exa scale machine it's clear in your in your previous answer regarding, you know, the workloads. Some would say that the majority of people would be happier with, say, 10 100 petaflop machines. You know, democratization. More people access. But can you provide us examples at the type of science? The needs of industrial users that actually do require those resources to be put >>together as an exa scale machine? So I think you know, it's a very interesting area. At the end of the day, these systems air bought because they are capability systems on. I absolutely take the argument. Why shouldn't we buy 10 100 pattern block systems? But there are a number of scientific areas even today that would benefit from a nexus school system and on these the sort of scientific areas that will use as much access onto a system as much time and as much scale of the system as they can, as you can give them eso on immediate example. People doing chroma dynamics calculations in particle physics, theoretical calculations, they would just use whatever you give them. But you know, I think one of the areas that is very interesting is actually the engineering space where, you know, many people worry the engineering applications over the last decade haven't really kept up with this sort of supercomputers that we have. I'm leading a project called Asimov, funded by M. P S O. C in the UK, which is jointly with Rolls Royce, jointly funded by Rolls Royce and also working with the University of Cambridge, Oxford, Bristol, Warrick. We're trying to do the whole engine gas turbine simulation for the first time. So that's looking at the structure of the gas turbine, the airplane engine, the structure of it, how it's all built it together, looking at the fluid dynamics off the air and the hot gasses, the flu threat, looking at the combustion of the engine looking how fuel is spread into the combustion chamber. Looking at the electrics around, looking at the way the engine two forms is, it heats up and cools down all of that. Now Rolls Royce wants to do that for 20 years. Andi, Uh, whenever they certify, a new engine has to go through a number of physical tests, and every time they do on those tests, it could cost them as much as 25 to $30 million. These are very expensive tests, particularly when they do what's called a blade off test, which would be, you know, blade failure. They could prove that the engine contains the fragments of the blade. Sort of think, continue face really important test and all engines and pass it. What we want to do is do is use an exa scale computer to properly model a blade off test for the first time, so that in future, some simulations can become virtual rather than having thio expend all of the money that Rolls Royce would normally spend on. You know, it's a fascinating project is a really hard project to do. One of the things that I do is I am deaf to share this year. Gordon Bell Price on bond I've really enjoyed to do. That's one of the major prizes in our area, you know, gets announced supercomputing every year. So I have the pleasure of reading all the submissions each year. I what's been really interesting thing? This is my third year doing being on the committee on what's really interesting is the way that big systems like Summit, for example, in the US have pushed the user communities to try and do simulations Nowhere. Nobody's done before, you know. And we've seen this as well, with papers coming after the first use of the for Goku system in Japan, for example, people you know, these are very, very broad. So, you know, earthquake simulation, a large Eddie simulations of boats. You know, a number of things around Genome Wide Association studies, for example. So the use of these computers spans of last area off computational science. I think the really really important thing about these systems is their challenging people that do calculations they've never done before. That's what's important. >>Okay, Thank you. You talked about challenges when I nearly said when you and I had lots of hair, but that's probably much more true of May. Um, we used to talk about grand challenges we talked about, especially around the teraflop era, the ski red program driving, you know, the grand challenges of science, possibly to hide the fact that it was a bomb designing computer eso they talked about the grand challenges. Um, we don't seem to talk about that much. We talk about excess girl. We talk about data. Um Where are the grand challenges that you see that an exa scale computer can you know it can help us. Okay, >>so I think grand challenges didn't go away. Just the phrase went out of fashion. Um, that's like my hair. I think it's interesting. The I do feel the science moves forward by setting itself grand challenges and always had has done, you know, my original backgrounds in particle physics. I was very lucky to spend four years at CERN working in the early stage of the left accelerator when it first came online on. Do you know the scientists there? I think they worked on left 15 years before I came in and did my little ph d on it. Andi, I think that way of organizing science hasn't changed. We just talked less about grand challenges. I think you know what I've seen over the last few years is a renaissance in computational science, looking at things that have previously, you know, people have said have been impossible. So a couple of years ago, for example, one of the key Gordon Bell price papers was on Genome Wide Association studies on some of it. If I may be one of the winner of its, if I remember right on. But that was really, really interesting because first of all, you know, the sort of the Genome Wide Association Studies had gone out of favor in the bioinformatics by a scientist community because people thought they weren't possible to compute. But that particular paper should Yes, you could do these really, really big Continental little problems in a reasonable amount of time if you had a big enough computer. And one thing I felt all the way through my career actually is we've probably discarded Mawr simulations because they were impossible at the time that we've actually decided to do. And I sometimes think we to challenge ourselves by looking at the things we've discovered in the past and say, Oh, look, you know, we could actually do that now, Andi, I think part of the the challenge of bringing an extra service toe life is to get people to think about what they would use it for. That's a key thing. Otherwise, I always say, a computer that is unused to just be turned off. There's no point in having underutilized supercomputer. Everybody loses from that. >>So Let's let's bring ourselves slightly more up to date. We're in the middle of a global pandemic. Uh, on board one of the things in our industry has bean that I've been particularly proud about is I've seen the vendors, all the vendors, you know, offering up machine's onboard, uh, making resources available for people to fight things current disease. Um, how do you see supercomputers now and in the future? Speeding up things like vaccine discovery on help when helping doctors generally. >>So I think you're quite right that, you know, the supercomputer community around the world actually did a really good job of responding to over 19. Inasmuch as you know, speaking for the UK, we put in place a rapid access program. So anybody wanted to do covert research on the various national services we have done to the to two services Could get really quick access. Um, on that, that has worked really well in the UK You know, we didn't have an archer is an old system, Aziz. You know, we didn't have the world's largest supercomputer, but it is happily bean running lots off covert 19 simulations largely for the biomedical community. Looking at Druk modeling and molecular modeling. Largely that's just been going the US They've been doing really large uh, combinatorial parameter search problems on on Summit, for example, looking to see whether or not old drugs could be reused to solve a new problem on DSO, I think, I think actually, in some respects Kobe, 19 is being the sounds wrong. But it's actually been good for supercomputing. Inasmuch is pointed out to governments that supercomputers are important parts off any scientific, the active countries research infrastructure. >>So, um, I'll finish up and tap into your inner geek. Um, there's a lot of technologies that are being banded around to currently enable, you know, the first exa scale machine, wherever that's going to be from whomever, what are the current technologies or emerging technologies that you are interested in excited about looking forward to getting your hands on. >>So in the business case I've written for the U. K's exa scale computer, I actually characterized this is a choice between the American model in the Japanese model. Okay, both of frozen, both of condoms. Eso in America, they're very much gone down the chorus plus GPU or GPU fruit. Um, so you might have, you know, an Intel Xeon or an M D process er center or unarmed process or, for that matter on you might have, you know, 24 g. P. U s. I think the most interesting thing that I've seen is definitely this move to a single address space. So the data that you have will be accessible, but the G p u on the CPU, I think you know, that's really bean. One of the key things that stopped the uptake of GPS today and that that that one single change is going Thio, I think, uh, make things very, very interesting. But I'm not entirely convinced that the CPU GPU model because I think that it's very difficult to get all the all the performance set of the GPU. You know, it will do well in H p l, for example, high performance impact benchmark we're discussing at the beginning of this interview. But in riel scientific workloads, you know, you still find it difficult to find all the performance that has promised. So, you know, the Japanese approach, which is the core, is only approach. E think it's very attractive, inasmuch as you know They're using very high bandwidth memory, very interesting process of which they are going to have to, you know, which they could develop together over 10 year period. And this is one thing that people don't realize the Japanese program and the American Mexico program has been working for 10 years on these systems. I think the Japanese process really interesting because, um, it when you look at the performance, it really does work for their scientific work clothes, and that's that does interest me a lot. This this combination of a A process are designed to do good science, high bandwidth memory and a real understanding of how data flows around the supercomputer. I think those are the things are exciting me at the moment. Obviously, you know, there's new networking technologies, I think, in the fullness of time, not necessarily for the first systems. You know, over the next decade we're going to see much, much more activity on silicon photonics. I think that's really, really fascinating all of these things. I think in some respects the last decade has just bean quite incremental improvements. But I think we're supercomputing is going in the moment. We're a very very disruptive moment again. That goes back to start this discussion. Why is extra skill been difficult to get? Thio? Actually, because the disruptive moment in technology. >>Professor Parsons, thank you very much for your time and your insights. Thank you. Pleasure and folks. Thank you for watching. I hope you've learned something, or at least enjoyed it. With that, I would ask you to stay safe and goodbye.

(lively music) >> Narrator: From San Francisco, it's theCUBE. Covering GitLab Commit 2020. Brought to you by GitLab. >> Hi, I'm Stu Miniman. And this is the theCUBE's exclusive coverage of GitLab Commit 2020, here in San Francisco. You might notice it's a little chilly in San Francisco today. Welcome to the program, first time against Vince Stammegna who is the senior director of engineering at Axway and you can tell by the GitLab Commit jacket that he's a speaker at the show and good thing to wear that one today, yes, Vince? >> Yes, it's very very chilly here. But we're all having a great time. >> Yeah, absolutely. It's the warmth of the community that that's keeping everyone going. First of all, I believe it's first time we have Axway on our program, so people that don't know, tell us a little bit about Axway. >> Sure, Axway is in the business of helping save your company, basically, and help them through the digital transformation. So if you've ever deposited a check electronically on your phone, you've probably, there's a 90% chance you've crossed one of our API gateways or Managed File Transfer systems. So we've helped banks, we've helped hospitals, healthcare, lots of verticals and assisting them through their digital transformation. >> Awesome, so yeah, we love talking about digital transformation. Your presentation here at Commit is actually about journey to cloud. So tell us a little bit about what that means, gets a little bit of you inside what you're going to be sharing with the community here. >> Sure, journey to the cloud is a program that we conceived a couple years ago. And it's all about bringing our company into the cloud native space as well as bringing our existing product line into the cloud, so it can run, it can scale, easy to deploy day to operations. So what we're going to talk about today is basically Axway's journey from, as an ISV going from quarterly and semi-annual deliveries to daily deployments, low change failure rates, fast lead time for changes, so. >> Yeah, it's wonderful things if you hear about DevOps it's all about how we can shorten those release cycles and have those continuous feedback loops. So how long have you been with Axway? >> I've been with Axway for four years now. >> Okay, so yeah, bring us inside a little bit that journey is, what are the ripple effects as you try to tighten things down and not get on the train but just ship and ship and ship. (chuckling) >> Yeah, absolutely. I can say that it's a journey that really requires vigilance. It's constant practice, continuous learning to be lean. So if I were to describe the journey, it's about contributing together, working as one team to build one platform. And that's across DevOps and security. We'll go into a bit about how we really shift, shift in security-left this year by working closely with them. We really took the time to seek to understand their needs as well as the security team understanding our needs in terms of continuous deployment. And we work together on a solution called the Continuous Security Review, allows us to get to the deployment frequency of multiple times per day versus the deployment frequency before that we still followed the traditional initial security review, final security review. We could only release once a sprint, two weeks. >> Yeah, a mantra we've heard at many of the shows we go to is, "security is everyone's responsibility." Was there a lot of training that needed to be done? Did you have to, did the security people kind of lock everybody in the room and make them watch films? Or how did you work through some of these changes? >> That's a great question. So there are a lot of things that our product security group does along with our cloud security team. They do have training globally for Axway not only for the development team, operations team as well. They also, we also have built cross-functional teams within our scrum teams. So our scrum teams contain what's called a SPOC, a security point of contact, DevOps point of contact, the quality point of contact. And those members of the team help that scrum team have full ownership of that service. So when you say security is everybody's job, it's really security, quality, reliability, scalability, and stability is everybody's job. And when you build those cross-functional teams, you're able to provide the team the capability to have the ownership to take those services into the cloud on a daily basis. >> All right, Vince, help us connect the dots. Axway and GitLab, what's the connection there? >> Another great question. So we became a GitLab customer back in 2015. We were on SVN primarily and through lots of acquisitions, either CVS or SVN, and we were looking at the next generation source control management tool. We actually invested and purchased GitLab for Axway in 2015 because it had non-premise offering and we needed to store all of our source code on-premise. We have contracts with the governments around the world and so that's how our journey started. But what we couldn't have imagine was how it was going to evolve. And that's why we're so happy with GitLab. They really take our feedback seriously. A lot of things that we've asked them to go ahead and implement, they've gone and iterated and implemented those things. Allowed us to test features, get faster feedback. One of the things we were looking for was EKS recently as a native way to, basically, plug an EKS as a GitLab runner and run your workloads there. That was implemented, I think, within the last release or two releases ago. So we really appreciate GitLab's responsiveness with their product. >> Okay, yes, you're talking about Amazon's Kubernetes. >> Yes. >> Of course they're so, you talked about on-premises, what is your cloud deployment? Are you multicloud now or, what's and where does Kubernetes fit in that overall discussion? >> Another great question. So our journey to cloud native started with a product called AMPLIFY Central. And what we did was, we start out with docker swarm. We evolved to cops. At the time when we had first gotten our production deployment running on cops, EKS was just in its initial phases of rolling out. We're an Amazon Premier Technology partner. And we actually help them with their evaluation of the initial bit of EKS, give them feed back. A year later, we're looking at it as a way to consolidate platform and allow our teams to focus on building a better product rather than having infrastructure overhead of upgrading infrastructure to, and going through those cycles we can just test the infrastructure before we roll it out. >> All right, so Vince, you're talking a lot about your journey to cloud, what advice do you give to your peers as they're heading down their own journey. >> The advice I give to my peers is to keep calm (chuckles) and we'll go over that in our presentation. But really, it's about behavior change. So it's not just a words that are on some paper that you walk into and you look at. You really have to embody those behaviors and have those feelings about what you're doing. And that's going to change your values and attitudes about how you act and work and help each other out. And that's how you break down silos, and ultimately that's what changes culture. It's your values, attitudes, beliefs, and behaviors that culminate to build a one team, operating as one team to deliver one platform. >> Okay, so you're speaking at the show, obviously you've used GitLab quite a bit. What else, what brings you to this show? What are you hoping to get out of it? >> Just to see what our peers and fellow practitioners are doing in a cloud. See how GitLab's evolving. It was really great keynote this morning from Todd and Sid. So it's great to keep abreast as to what, even some of our customers are here today and to hear their story about how they're moving to the cloud and how might parallel and some things that we can learn from them. That's one of the key behaviors when you move towards cloud native is creating a culture of learning and that's how you grow. >> All right, well, Vince, thanks so much sharing your journey. >> Appreciate it. >> Great to meet you. >> Thanks so much too. >> Best luck with your presentation. And I'm Stu Miniman. This is GitLab Commit 2020. Thanks so much for watching theCUBE. (lively music)

>> From the Hard Rock Hotel in Las Vegas, it's theCUBE! Covering HoshoCon 2018! Brought to you by Hosho. >> Okay, welcome back everyone, we're here live in Las Vegas for the first security blockchain conference's inaugural event, HoshoCon, and it's all about the top brains in the industry coming together, with experience and tech chops to figure out the future in security. I'm John Furrier, the host of theCUBE. Our next guest, Andre McGregor, who's the partner and head of global security for TLDR. Welcome to theCUBE, thanks for joining me. >> Thank you for having me. >> So you have a background, we were just talking off-camera, FBI, you've been doing the cyber for a long time, cyber-security, mostly enterprise-grade, large-scale. Now we're in crypto, where you have small set of teams, running massive scale, with money involved. >> Correct. So guess what, money attracts. >> Right. People who want it, want that money. Lot of hacks, $400 million in Japan, plus 60 million over here, you add it all up, there's a billion so far this year, who knows what really the number is, it's pretty big. >> It is, and what's concerning and the reason why I came over in this space was the number of hacks that were happening. My company, we get probably a call a week, whether it's high net worth individuals, CEO, exchanges, we've helped a couple, some that you'd know of if I told you who they were, trying to get out of a very bad situation. And interim response has been big, but what we've learned is that it's the same old fraud, the same old security tactics that are being used against some of these crypto-companies. >> And we've seen it all the time, everyone's had fraud alerts on their credit card, this is like classic blocking and tackling, at a whole 'nother level. >> It is, because if you think about it from, like a traditional start-up, you have a company that's small, they have time to develop their MVP, they go out and do maybe a seed round, friends and family, they're sort of ramping up over time, whereas we basically flipped the model upside-down, the same six founders now have $10 million worth of crypto, and they're not protecting it in the ways they think they should, because they're in hyper-growth mode. So the bad guys have determined that as a great place to target, and now as we see in the news, it's actually happening. >> Yeah, and Hartej, the co-founder of Hosho, was just one talking about physical security, in the sense of you got to watch out where you go too now, it's not just online security, it's physical security. So start-ups have that kind of fast and loose kind of culture. >> Well, if you think about it, traditional security in corporations, I can put everyone in a building, I have this similar or same network egress points, I can protect those, I can do the gates, guards, guns, perimeters around, but I got people working from home now in the crypto space, everyone's got their own setup. If someone's in an audience, they say oh, I've been in the blockchain space since 2010 or 11, I can make assumptions about them, about their financial worth, and other people are doing the same, but having nefarious reasons. >> Yeah, you connected the dots okay, it was $0.22 in 2011, so therefore, if they had kept a little bit of Bitcoin-- >> They would be doing very well. >> They're a target. >> Therefore, they're a target now. So when you think about it, you put all those scams together, it becomes sort of a hot topic for-- >> I just got into crypto. (laughs) >> Good answer, good answer. >> Alright, so let's talk about this security hack. Because obviously, in the enterprise tech, we cover a lot of those events across the year. IoT Edge is a huge topic, cloud computing booming, so now you have a lot of compute, which is good, and for bad actors too. So you have now a service area that's now, no perimeter, there's no egress points to manage. Is there a digital way to kind of map this out, and does blockchain give us any advantages or is there anything on the horizon that you see, where we can, in digital form? >> Well, I mean the true reason I came to the blockchain space, having worked hundreds of victim notifications and several dozen actual intrusions, from large intrusions at banks that are top five in the world, all the way down to small core defense contractors, you realize it's always a server you didn't know about, credentials that had more access than they should, obviously gaining access to a centralized server, that then gets exposed and allows that data to be leaked out. So the idea of blockchain and being able to decentralize, distribute that data, own it, and keep it cryptographically pure, and also being able to essentially remove the single source of failure that we saw in a lot of these hacks is exciting. Obviously, blockchain is also not the answer to everything. So in some ways, the spread sheet is still a spread sheet, and the MongoDB will still be the MongoDB, but-- >> The post-it next to your computer, your private key on it. >> But at the same point in time, it all comes down to cyber-hygiene, right? I mean, the stuff that we're looking at, the hacks that we're seeing, the hacks that I'm dealing with and my company dealing with, day in and day out, are not sophisticated. They may be sophisticated actors, but they're using insophisticated means, and of course, I hate to harp on it, but e-mail is still the number one intrusion vector, we all have it, we all use it. You could take stats from the FBI that says 92%, you could take stats from Verizon that says 93%, but that will be the number one way in. >> And phishing is the classic attack point. >> It will always be, because-- >> It's easy. >> I can manipulate people, I find the right opportunity, I always say even I've been phished. It happens, the way your mind is, it's just how you react, is what we need to teach people. >> It's really clicking on that one thing, that just takes one time. >> Yep. >> A PDF that you think is a document from work, or potentially a job opportunity, a new thing, sports scores, your favorite team, girlfriend, boyfriend, whatever, I mean, you don't know! >> But, I'm going to challenge you on this, you get, you click on that bad link, or you feel like your computer has been hacked, who do you call? Do you actually have someone that you can call? There's no cyber 911. Unless you are a high net worth individual, or being targeted by a nation-state, you're not calling the FBI. So who do you call? And that's a problem that we have in our industry right now. I mean, I guess I've been the person that people have been calling, which is fine, I want to help them. 12 years as a firefighter on top of my FBI career, I'm used to helping people in time of need. But really, in the grand scheme of things, there's not enough Mandiants or Verizons are too big. So for these smaller, six-person companies, that don't have $500,000 to spend on instant response, they actually have no one to call when they actually do click something bad. >> And the people they punch in a call, the ones that aren't actually there to help them. Sometimes they get honey-potted into another vector. >> Sure. >> Which is hey, how can I help you? >> Or I even challenge it a bit further. You call any of these companies when your phone has been hacked, you SIM-swap, whatever it is, and you need to sign a master services agreement, you need to go through all the legalese, while you're actively being hacked. Like, it's happening hour after hour, and you're seeing it, your accounts are being compromised and being taken over, and you're trying to find outside counsel to do redline. So in emergency services, we say, don't exchange business cards at the disaster site. It's not the time that you should be saying hi, I'm introducing myself, we should figure out all the retainers, inter-response, legal questions beforehand, so that at 2:00 in the morning, someone calls, and you have someone pick up the phone. >> Yeah, and you know what the costs are going to be, 'cause it's solve the problem at hand, put out that fire, if you will. Okay, so I got to ask you a question on how do people protect themselves? 'Cause we know Michael Terpin's doing a fireside chat, it's well known that he sued AT&T, he had his phone SIM swapped out, this is a known vector in the crypto community. Most people maybe in the mainstream might not know it. But you know, your phone can be hacked. >> Yes. >> Simple two-factor authentication's not enough. >> Correct. >> What is the state-of-the-art solution for people who want to hold crypto, any meaningful amount, could be casual money, to high net worth individual wants to have a lot of crypto. >> I mean, I spent a good amount of my time talking about custody. We've sort of pivoted off to a new part of our business line, that deals specifically around institutional custody solutions, and helping people get through this particular process. But we all know, especially from that particular case, that SMS compromises, after account takeover of a phone, is high. Hardware tokens are always going to be something that I'm going to, Harp or YubiKey, or something like that, where I'm still having the ability to keep a remote adversary away from being able to attack my system that has my private keys, or whatever high-value data I have on it. But if I think about it at the end of the day, I'm going to need to transfer that risk. I would like to say that we can transfer all risk, but instead for the people that have a lot of crypto, you're going to need to look for a good custody solution, you're going to need to look and trust the team, you're going to need to look and trust the technology they have, and you're going to have to get insurance. Because there are so many vectors, in a certain point in time, we can't go back to the wild west, where we're actually >> The insider job is, is really popular now too. >> It is, but there are ways around the collusion, counterparty, third party risk of ensuring that not one person can take the billion dollars worth of crypto and run away off to Venezuela and never appear again. But again, it comes down to basic hygiene. I ask people, I've surveyed hundreds of people in the crypto space, and I ask simple questions like VPNs, and I'm still getting a third to a half of people are using VPNS. Very simple things that people are not doing. When you looks at password for example, if anyone still has a password under 12 characters, then game over. I mean, there are a variety of ways of hacking them. I can use GPU servers to do them very quickly. I won't go into all the different options that are there. People still-- >> So 12 characters, alphanumeric obviously, with-- >> With special characters as well. >> Special characters. >> But the assumption, let's just make the assumption, that either those passwords have been cracked already, because they've already been dumped, people share passwords, they get used again, and then the entropy is exponentially higher with every single character after 12. So my password's 22 characters, sure it's a pain to type it in, but when you think about it, at the end of the day, when I combine that with a password manager that also has a YubiKey that's a hardware token, and I require that access all the time, then I don't run into the problem that someone's going to compromise a single system to get into multiple systems. >> And then also, I know there's a lot of Google people as well, they're looking at security at the hardware level, down to the firmware. >> Sure, sure. >> There's all kinds of-- >> I mean, obviously, you could use the TPM chip as well, and that's something that we should be better at, as a society. >> So while I got you here, I might as well ask you about the China super micro modchip baseboard management controller, BMC, that was reported in Bloomberg, debunked, Apple and Amazon both came out and said no, that's been confirmed. They shift their story a little bit too, the reality probably there is some mods going on, it's manufactured in China. I mean, it's a zero-margin business going to zero, why not just let the Chinese continue to develop, and have a higher-value security solution somewhere else, that's what some people are discussing, like okay, like the DRAM market was. >> Yep. >> Let the Japanese own that, they did, and then Intel makes the Pentium. Wall Street Journal reported that, Andy Kessler. So the shifts in the industry, certainly China's manufacturing the devices. There's no surprise when you go to China, and if you turn on your iPhone, it says Apple would like to push an update, but that's not Apple, it's a forged certificate, pretty much public knowledge. The DNS is controlled by China, and a certificate, these are things that they can control, that's, this is the new normal. >> It, it-- >> If you know the hardware, you can exploit it. >> We've been dealing with supply-chain issues since Maxtor hard drives in Indonesia. So was I shocked when I hear stories about that? No, I'm sort of scared myself into a corner, working in skiffs over the years and reading the various reports that come out about supply chain poisoning. >> Certainly possible. >> It's happening. I mean, it's just to what extent is still something that may or may not be known to its full extent, but it's something that will happen, always happens, and will continue to happen. And so at a certain point in time, capitalism does step in and says alright, well, guess what, China, the way I see it is, China wants to be a super-power. At a certain point, they know that people are looking at them, and saying we can't trust you. So they're going to clean up their house, just like anyone else. >> It's inevitable for them. >> It is inevitable. Because they need to show that they can be a trusting force, in the world economy. And at the same time, we're going to have competition out there that's essentially going to say, alright, we can actually prove to have a much better, stronger, validated supply chain that you'll use. >> I mean, IoT and blockchain, great solutions for supply chain. >> 100%. >> I mean, so this is where-- >> I mean, we're talking, I mean, I was actually on a plane flying from Phoenix, to Santa Fe, New Mexico, and I was sitting next to a guy, who was just like, I just want to use a blockchain to be able to deal with a supply chain around compromised food. So in the sense that if you think about it, fish for example, there's a lot of fake fish, fake type of tuna and other stuff that's out there, that people don't know the difference. But the restaurants are paying double, triple the amount of money for it. You start taking things like elephant tusks, you take things like just being able to track things that no one's really thinking about, and you're just like huh, I never thought of it that way. So at the end of the day, I still get surprised with what people are thinking about, that they can do with the blockchain. >> So Andre, question for you here, this event, what's the impact of this event and for the industry, in your opinion? Obviously, a lot of smart people here talking, candidly, sometimes maybe a little bit contentious about philosophies, regulation, no regulation, self-governance, lot of different things being discussed as exploration, to a new proficiency level that we need to get to. What are some of the hallway conversations you're hearing, and involved in? >> A lot of mine are obviously around custody. That is the topic of the moment. And for me, I'm in learning mode. I recognize that I've spent a lot of time in cyber-security. However, whereas it relates to blockchain and digital asset custody, whether it's utility tokens or security tokens, I'm on the CFTC Technology Advisory Committee, specifically, with cyber-security and custody, and so I want to take in as much information as I can, bring it back to the committee, bring it back to the commissioners, and help them create the proper regulations and standards, whether it's through an SRO, or it's through the government itself. >> For the folks that may watch this video later, that are new to the area, what does custody actually mean? Obviously, holding crypto, but define custody in context of these conversations, what is it, what's the threshold issues that are being discussed? >> Sure. I mean, to break it down, custody is very similar to a bank. So you are, you're saying I have a lot of X. It could be baseball cards, it could be gold bars, it could be fiat cash. And I want to have someone hold it, and I'm going to trust them with that. Of course, I'm transferring that risk, and with that, I have an expectation to have a qualified custodian, that has rules and regulations of how they're going to actually manage it, how they're going to control it, ensure that the risk, that people aren't going to take it. It could be, again, the Monet, it could be the Johnny Bench Ricky card, it could be 100 million blocks of gold. But I also want to have a level of insurance. That insurance could come from the insurance industry themselves, and allowing me to protect it in case something does happen to that, or the government. The FDIC, $250,000 for your bank account is a type of insurance that people are using. By the end of the day, from an institutional perspective, you want a pure custodian that takes all the risk. The government wants to say a certain point, that that custodian can allow for margin call, so that the client can't come in and say, well I'm not going to pay out $100 million worth of crypto, and I'm going to seize, or seizure of funds as well. And that's what's being set up right now. Traditional banks are not ready to handle that. Traditional auditing firms, like PWC or Ernst & Young, are still trying to figure out how they'd even be given a qualified opinion, as it relates to how-- >> So it's not so much that they are not have the appetite to do it, they don't have systems, they don't have expertise, >> They don't have systems, they don't have expertise, >> They don't have workflows. >> And right now, things are so new and so volatile, that they're sort of almost putting their toe in the water, but really not sure what the temperature is yet of the water to hop in. >> If someone wants to go to court, you say hey, prove it. Well, it's encrypted, I don't know who did it. >> Well, and the thing is is that when you have 53 states and territories with different money-transmitting laws, on top of the countless federal agencies and departments that are managing that, it is hard to come to consensus. It is much easier in a place like Bermuda, where the government is small enough where everyone can get together pretty quickly, have consensus on an opinion of how they want to deal with the crypto market, deal with custody, pass a regulation, and what's nice about Bermuda is it has crown ascendancy, so the UK government still approves it. >> And they move fast on the regulation side. They literally just passed-- >> They are the only jurisdiction that has a fully complete law surrounding cryptocurrency. >> You're bullish on Bermuda. >> I am, because I saw the efficiency there. And I expressed my same opinion with the CFTC, when I was doing my hearing last week, that it's nice to see the speed, but it's also a small island that allows for that speed. >> And they have legitimate practices that have been going on for years in other industries. >> Right, so there's no dirty money, there's no anything that people are sort of concerned with, they have the same AML, KYC, anti-money laundering and know your customer regulations that you would expect if you had your money in the United States. >> Yeah, we had a chance to interview the honorable charge there. >> Premier Burt, oh very nice. >> Yeah, he's great, and Toronto, so it's awesome. >> Nice. >> Alright, so final takeaway, for this show here, what's your takeaway about this event, the impact to the industry? >> This is a very important event, because I think people are still trying to get their footing around blockchain, they're still trying to get their footing around digital asset protections. And if we can get the smart people in one room, and they can share knowledge, and then we can come together as a community, and create some standards that make sense, then we're protecting the world. >> Well Andre, I'm glad you're in the industry, 'cause your expertise and background on the commercial side and government side certainly lend well to the needs. (laughs) So to speak. We need you, we need more of you. Thanks for coming on theCUBE, really appreciate your commentary and your insight. It's theCUBE, bringing the insights here, we are live in Las Vegas for HoshoCon, I'm John Furrier with theCUBE, we'll be back with more coverage after this short break. (upbeat music)

(electronic dance music) (Intel Jingle) (ethereal electronic dance music) ♪ Okay ♪ (upbeat techno dance music) ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Yeah everybody get loose yeah ♪ ♪ Yeah ♪ ♪ Ye-yeah yeah ♪ ♪ Yeah yeah ♪ ♪ Everybody everybody yeah ♪ ♪ Whoo whoo ♪ ♪ Whoo whoo ♪ ♪ Whoo yeah ♪ ♪ Everybody get loose whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ >> As a courtesy to the presenters and those around you, please silence all mobile devices, thank you. (electronic dance music) ♪ Everybody get loose ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ (upbeat salsa music) ♪ Ha ha ha ♪ ♪ Ah ♪ ♪ Ha ha ha ♪ ♪ So happy ♪ ♪ Whoo whoo ♪ (female singer scatting) >> Ladies and gentlemen, please take your seats. Our program will begin momentarily. ♪ Hey ♪ (female singer scatting) (male singer scatting) ♪ Hey ♪ ♪ Whoo ♪ (female singer scatting) (electronic dance music) ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ Red don't go ♪ ♪ All hands are in don't go ♪ ♪ In don't go ♪ ♪ Oh red go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are red don't go ♪ ♪ All hands are in red red red red ♪ ♪ All hands are in don't go ♪ ♪ All hands are in red go ♪ >> Ladies and gentlemen, there are available seats. Towards house left, house left there are available seats. If you are please standing, we ask that you please take an available seat. We will begin momentarily, thank you. ♪ Let go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ (upbeat electronic dance music) ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ I live ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Hey ♪ ♪ Yeah ♪ ♪ Oh ♪ ♪ Ah ♪ ♪ Ah ah ah ah ah ah ♪ ♪ Just make me ♪ ♪ Just make me ♪ (bouncy techno music) >> Ladies and gentlemen, once again we ask that you please take the available seats to your left, house left, there are many available seats. If you are standing, please make your way there. The program will begin momentarily, thank you. Good morning! This is Lenovo Transform 2.0! (keyboard clicks) >> Progress. Why do we always talk about it in the future? When will it finally get here? We don't progress when it's ready for us. We need it when we're ready, and we're ready now. Our hospitals and their patients need it now, our businesses and their customers need it now, our cities and their citizens need it now. To deliver intelligent transformation, we need to build it into the products and solutions we make every day. At Lenovo, we're designing the systems to fight disease, power businesses, and help you reach more customers, end-to-end security solutions to protect your data and your companies reputation. We're making IT departments more agile and cost efficient. We're revolutionizing how kids learn with VR. We're designing smart devices and software that transform the way you collaborate, because technology shouldn't just power industries, it should power people. While everybody else is talking about tomorrow, we'll keep building today, because the progress we need can't wait for the future. >> Please welcome to the stage Lenovo's Rod Lappen! (electronic dance music) (audience applauding) >> Alright. Good morning everyone! >> Good morning. >> Ooh, that was pretty good actually, I'll give it one more shot. Good morning everyone! >> Good morning! >> Oh, that's much better! Hope everyone's had a great morning. Welcome very much to the second Lenovo Transform event here in New York. I think when I got up just now on the steps I realized there's probably one thing in common all of us have in this room including myself which is, absolutely no one has a clue what I'm going to say today. So, I'm hoping very much that we get through this thing very quickly and crisply. I love this town, love New York, and you're going to hear us talk a little bit about New York as we get through here, but just before we get started I'm going to ask anyone who's standing up the back, there are plenty of seats down here, and down here on the right hand side, I think he called it house left is the professional way of calling it, but these steps to my right, your left, get up here, let's get you all seated down so that you can actually sit down during the keynote session for us. Last year we had our very first Lenovo Transform. We had about 400 people. It was here in New York, fantastic event, today, over 1,000 people. We have over 62 different technology demonstrations and about 15 breakout sessions, which I'll talk you through a little bit later on as well, so it's a much bigger event. Next year we're definitely going to be shooting for over 2,000 people as Lenovo really transforms and starts to address a lot of the technology that our commercial customers are really looking for. We were however hampered last year by a storm, I don't know if those of you who were with us last year will remember, we had a storm on the evening before Transform last year in New York, and obviously the day that it actually occurred, and we had lots of logistics. Our media people from AMIA were coming in. They took the, the plane was circling around New York for a long time, and Kamran Amini, our General Manager of our Data Center Infrastructure Group, probably one of our largest groups in the Lenovo DCG business, took 17 hours to get from Raleigh, North Carolina to New York, 17 hours, I think it takes seven or eight hours to drive. Took him 17 hours by plane to get here. And then of course this year, we have Florence. And so, obviously the hurricane Florence down there in the Carolinas right now, we tried to help, but still Kamran has made it today. Unfortunately, very tragically, we were hoping he wouldn't, but he's here today to do a big presentation a little bit later on as well. However, I do want to say, obviously, Florence is a very serious tragedy and we have to take it very serious. We got, our headquarters is in Raleigh, North Carolina. While it looks like the hurricane is just missing it's heading a little bit southeast, all of our thoughts and prayers and well wishes are obviously with everyone in the Carolinas on behalf of Lenovo, everyone at our headquarters, everyone throughout the Carolinas, we want to make sure everyone stays safe and out of harm's way. We have a great mixture today in the crowd of all customers, partners, industry analysts, media, as well as our financial analysts from all around the world. There's over 30 countries represented here and people who are here to listen to both YY, Kirk, and Christian Teismann speak today. And so, it's going to be a really really exciting day, and I really appreciate everyone coming in from all around the world. So, a big round of applause for everyone whose come in. (audience applauding) We have a great agenda for you today, and it starts obviously a very consistent format which worked very successful for us last year, and that's obviously our keynote. You'll hear from YY, our CEO, talk a little bit about the vision he has in the industry and how he sees Lenovo's turned the corner and really driving some great strategy to address our customer's needs. Kirk Skaugen, our Executive Vice President of DCG, will be up talking about how we've transformed the DCG business and once again are hitting record growth ratios for our DCG business. And then you'll hear from Christian Teismann, our SVP and General Manager for our commercial business, get up and talk about everything that's going on in our IDG business. There's really exciting stuff going on there and obviously ThinkPad being the cornerstone of that I'm sure he's going to talk to us about a couple surprises in that space as well. Then we've got some great breakout sessions, I mentioned before, 15 breakout sessions, so while this keynote section goes until about 11:30, once we get through that, please go over and explore, and have a look at all of the breakout sessions. We have all of our subject matter experts from both our PC, NBG, and our DCG businesses out to showcase what we're doing as an organization to better address your needs. And then obviously we have the technology pieces that I've also spoken about, 62 different technology displays there arranged from everything IoT, 5G, NFV, everything that's really cool and hot in the industry right now is going to be on display up there, and I really encourage all of you to get up there. So, I'm going to have a quick video to show you from some of the setup yesterday on a couple of the 62 technology displays we've got on up on stage. Okay let's go, so we've got a demonstrations to show you today, one of the greats one here is the one we've done with NC State, a high-performance computing artificial intelligence demonstration of fresh produce. It's about modeling the population growth of the planet, and how we're going to supply water and food as we go forward. Whoo. Oh, that is not an apple. Okay. (woman laughs) Second one over here is really, hey Jonas, how are you? Is really around virtual reality, and how we look at one of the most amazing sites we've got, as an install on our high-performance computing practice here globally. And you can see, obviously, that this is the Barcelona supercomputer, and, where else in New York can you get access to being able to see something like that so easily? Only here at Lenovo Transform. Whoo, okay. (audience applauding) So there's two examples of some of the technology. We're really encouraging everyone in the room after the keynote to flow into that space and really get engaged, and interact with a lot of the technology we've got up there. It seems I need to also do something about my fashion, I've just realized I've worn a vest two days in a row, so I've got to work on that as well. Alright so listen, the last thing on the agenda, we've gone through the breakout sessions and the demo, tonight at four o'clock, there's about 400 of you registered to be on the cruise boat with us, the doors will open behind me. the boat is literally at the pier right behind us. You need to make sure you're on the boat for 4:00 p.m. this evening. Outside of that, I want everyone to have a great time today, really enjoy the experience, make it as experiential as you possibly can, get out there and really get in and touch the technology. There's some really cool AI displays up there for us all to get involved in as well. So ladies and gentlemen, without further adieu, it gives me great pleasure to introduce to you a lover of tennis, as some of you would've heard last year at Lenovo Transform, as well as a lover of technology, Lenovo, and of course, New York City. I am obviously very pleasured to introduce to you Yang Yuanqing, our CEO, as we like to call him, YY. (audience applauding) (upbeat funky music) >> Good morning, everyone. >> Good morning. >> Thank you Rod for that introduction. Welcome to New York City. So, this is the second year in a row we host our Transform event here, because New York is indeed one of the most transformative cities in the world. Last year on this stage, I spoke about the Fourth Industrial Revolution, and our vision around the intelligent transformation, how it would fundamentally change the nature of business and the customer relationships. And why preparing for this transformation is the key for the future of our company. And in the last year I can assure you, we were being very busy doing just that, from searching and bringing global talents around the world to the way we think about every product and every investment we make. I was here in New York just a month ago to announce our fiscal year Q1 earnings, which was a good day for us. I think now the world believes it when we say Lenovo has truly turned the corner to a new phase of growth and a new phase of acceleration in executing the transformation strategy. That's clear to me is that the last few years of a purposeful disruption at Lenovo have led us to a point where we can now claim leadership of the coming intelligent transformation. People often asked me, what is the intelligent transformation? I was saying this way. This is the unlimited potential of the Fourth Industrial Revolution driven by artificial intelligence being realized, ordering a pizza through our speaker, and locking the door with a look, letting your car drive itself back to your home. This indeed reflect the power of AI, but it just the surface of it. The true impact of AI will not only make our homes smarter and offices more efficient, but we are also completely transformed every value chip in every industry. However, to realize these amazing possibilities, we will need a structure built around the key components, and one that touches every part of all our lives. First of all, explosions in new technology always lead to new structures. This has happened many times before. In the early 20th century, thousands of companies provided a telephone service. City streets across the US looked like this, and now bundles of a microscopic fiber running from city to city bring the world closer together. Here's what a driving was like in the US, up until 1950s. Good luck finding your way. (audience laughs) And today, millions of vehicles are organized and routed daily, making the world more efficient. Structure is vital, from fiber cables and the interstate highways, to our cells bounded together to create humans. Thankfully the structure for intelligent transformation has emerged, and it is just as revolutionary. What does this new structure look like? We believe there are three key building blocks, data, computing power, and algorithms. Ever wondered what is it behind intelligent transformation? What is fueling this miracle of human possibility? Data. As the Internet becomes ubiquitous, not only PCs, mobile phones, have come online and been generating data. Today it is the cameras in this room, the climate controls in our offices, or the smart displays in our kitchens at home. The number of smart devices worldwide will reach over 20 billion in 2020, more than double the number in 2017. These devices and the sensors are connected and generating massive amount of data. By 2020, the amount of data generated will be 57 times more than all the grains of sand on Earth. This data will not only make devices smarter, but will also fuel the intelligence of our homes, offices, and entire industries. Then we need engines to turn the fuel into power, and the engine is actually the computing power. Last but not least the advanced algorithms combined with Big Data technology and industry know how will form vertical industrial intelligence and produce valuable insights for every value chain in every industry. When these three building blocks all come together, it will change the world. At Lenovo, we have each of these elements of intelligent transformations in a single place. We have built our business around the new structure of intelligent transformation, especially with mobile and the data center now firmly part of our business. I'm often asked why did you acquire these businesses? Why has a Lenovo gone into so many fields? People ask the same questions of the companies that become the leaders of the information technology revolution, or the third industrial transformation. They were the companies that saw the future and what the future required, and I believe Lenovo is the company today. From largest portfolio of devices in the world, leadership in the data center field, to the algorithm-powered intelligent vertical solutions, and not to mention the strong partnership Lenovo has built over decades. We are the only company that can unify all these essential assets and deliver end to end solutions. Let's look at each part. We now understand the important importance data plays as fuel in intelligent transformation. Hundreds of billions of devices and smart IoTs in the world are generating better and powering the intelligence. Who makes these devices in large volume and variety? Who puts these devices into people's home, offices, manufacturing lines, and in their hands? Lenovo definitely has the front row seats here. We are number one in PCs and tablets. We also produces smart phones, smart speakers, smart displays. AR/VR headsets, as well as commercial IoTs. All of these smart devices, or smart IoTs are linked to each other and to the cloud. In fact, we have more than 20 manufacturing facilities in China, US, Brazil, Japan, India, Mexico, Germany, and more, producing various devices around the clock. We actually make four devices every second, and 37 motherboards every minute. So, this factory located in my hometown, Hu-fi, China, is actually the largest laptop factory in the world, with more than three million square feet. So, this is as big as 42 soccer fields. Our scale and the larger portfolio of devices gives us access to massive amount of data, which very few companies can say. So, why is the ability to scale so critical? Let's look again at our example from before. The early days of telephone, dozens of service providers but only a few companies could survive consolidation and become the leader. The same was true for the third Industrial Revolution. Only a few companies could scale, only a few could survive to lead. Now the building blocks of the next revolution are locking into place. The (mumbles) will go to those who can operate at the scale. So, who could foresee the total integration of cloud, network, and the device, need to deliver intelligent transformation. Lenovo is that company. We are ready to scale. Next, our computing power. Computing power is provided in two ways. On one hand, the modern supercomputers are providing the brute force to quickly analyze the massive data like never before. On the other hand the cloud computing data centers with the server storage networking capabilities, and any computing IoT's, gateways, and miniservers are making computing available everywhere. Did you know, Lenovo is number one provider of super computers worldwide? 170 of the top 500 supercomputers, run on Lenovo. We hold 89 World Records in key workloads. We are number one in x86 server reliability for five years running, according to ITIC. a respected provider of industry research. We are also the fastest growing provider of hyperscale public cloud, hyper-converged and aggressively growing in edge computing. cur-ges target, we are expand on this point soon. And finally to run these individual nodes into our symphony, we must transform the data and utilize the computing power with advanced algorithms. Manufactured, industry maintenance, healthcare, education, retail, and more, so many industries are on the edge of intelligent transformation to improve efficiency and provide the better products and services. We are creating advanced algorithms and the big data tools combined with industry know-how to provide intelligent vertical solutions for several industries. In fact, we studied at Lenovo first. Our IT and research teams partnered with our global supply chain to develop an AI that improved our demand forecasting accuracy. Beyond managing our own supply chain we have offered our deep learning supply focused solution to other manufacturing companies to improve their efficiency. In the best case, we have improved the demand, focused the accuracy by 30 points to nearly 90 percent, for Baosteel, the largest of steel manufacturer in China, covering the world as well. Led by Lenovo research, we launched the industry-leading commercial ready AR headset, DaystAR, partnering with companies like the ones in this room. This technology is being used to revolutionize the way companies service utility, and even our jet engines. Using our workstations, servers, and award-winning imaging processing algorithms, we have partnered with hospitals to process complex CT scan data in minutes. So, this enable the doctors to more successfully detect the tumors, and it increases the success rate of cancer diagnosis all around the world. We are also piloting our smart IoT driven warehouse solution with one of the world's largest retail companies to greatly improve the efficiency. So, the opportunities are endless. This is where Lenovo will truly shine. When we combine the industry know-how of our customers with our end-to-end technology offerings, our intelligent vertical solutions like this are growing, which Kirk and Christian will share more. Now, what will drive this transformation even faster? The speed at which our networks operate, specifically 5G. You may know that Lenovo just launched the first-ever 5G smartphone, our Moto Z3, with the new 5G Moto model. We are partnering with multiple major network providers like Verizon, China Mobile. With the 5G model scheduled to ship early next year, we will be the first company to provide a 5G mobile experience to any users, customers. This is amazing innovation. You don't have to buy a new phone, just the 5G clip on. What can I say, except wow. (audience laughs) 5G is 10 times the fast faster than 4G. Its download speed will transform how people engage with the world, driverless car, new types of smart wearables, gaming, home security, industrial intelligence, all will be transformed. Finally, accelerating with partners, as ready as we are at Lenovo, we need partners to unlock our full potential, partners here to create with us the edge of the intelligent transformation. The opportunities of intelligent transformation are too profound, the scale is too vast. No company can drive it alone fully. We are eager to collaborate with all partners that can help bring our vision to life. We are dedicated to open partnerships, dedicated to cross-border collaboration, unify the standards, share the advantage, and market the synergies. We partner with the biggest names in the industry, Intel, Microsoft, AMD, Qualcomm, Google, Amazon, and Disney. We also find and partner with the smaller innovators as well. We're building the ultimate partner experience, open, shared, collaborative, diverse. So, everything is in place for intelligent transformation on a global scale. Smart devices are everywhere, the infrastructure is in place, networks are accelerating, and the industries demand to be more intelligent, and Lenovo is at the center of it all. We are helping to drive change with the hundreds of companies, companies just like yours, every day. We are your partner for intelligent transformation. Transformation never stops. This is what you will hear from Kirk, including details about Lenovo NetApp global partnership we just announced this morning. We've made the investments in every single aspect of the technology. We have the end-to-end resources to meet your end-to-end needs. As you attend the breakout session this afternoon, I hope you see for yourself how much Lenovo has transformed as a company this past year, and how we truly are delivering a future of intelligent transformation. Now, let me invite to the stage Kirk Skaugen, our president of Data Center growth to tell you about the exciting transformation happening in the global Data C enter market. Thank you. (audience applauding) (upbeat music) >> Well, good morning. >> Good morning. >> Good morning! >> Good morning! >> Excellent, well, I'm pleased to be here this morning to talk about how we're transforming the Data Center and taking you as our customers through your own intelligent transformation journey. Last year I stood up here at Transform 1.0, and we were proud to announce the largest Data Center portfolio in Lenovo's history, so I thought I'd start today and talk about the portfolio and the progress that we've made over the last year, and the strategies that we have going forward in phase 2.0 of Lenovo's transformation to be one of the largest data center companies in the world. We had an audacious vision that we talked about last year, and that is to be the most trusted data center provider in the world, empowering customers through the new IT, intelligent transformation. And now as the world's largest supercomputer provider, giving something back to humanity, is very important this week with the hurricanes now hitting North Carolina's coast, but we take this most trusted aspect very seriously, whether it's delivering the highest quality products on time to you as customers with the highest levels of security, or whether it's how we partner with our channel partners and our suppliers each and every day. You know we're in a unique world where we're going from hundreds of millions of PCs, and then over the next 25 years to hundred billions of connected devices, so each and every one of you is going through this intelligent transformation journey, and in many aspects were very early in that cycle. And we're going to talk today about our role as the largest supercomputer provider, and how we're solving humanity's greatest challenges. Last year we talked about two special milestones, the 25th anniversary of ThinkPad, but also the 25th anniversary of Lenovo with our IBM heritage in x86 computing. I joined the workforce in 1992 out of college, and the IBM first personal server was launching at the same time with an OS2 operating system and a free mouse when you bought the server as a marketing campaign. (audience laughing) But what I want to be very clear today, is that the innovation engine is alive and well at Lenovo, and it's really built on the culture that we're building as a company. All of these awards at the bottom are things that we earned over the last year at Lenovo. As a Fortune now 240 company, larger than companies like Nike, or AMEX, or Coca-Cola. The one I'm probably most proud of is Forbes first list of the top 2,000 globally regarded companies. This was something where 15,000 respondents in 60 countries voted based on ethics, trustworthiness, social conduct, company as an employer, and the overall company performance, and Lenovo was ranked number 27 of 2000 companies by our peer group, but we also now one of-- (audience applauding) But we also got a perfect score in the LGBTQ Equality Index, exemplifying the diversity internally. We're number 82 in the top working companies for mothers, top working companies for fathers, top 100 companies for sustainability. If you saw that factory, it's filled with solar panels on the top of that. And now again, one of the top global brands in the world. So, innovation is built on a customer foundation of trust. We also said last year that we'd be crossing an amazing milestone. So we did, over the last 12 months ship our 20 millionth x86 server. So, thank you very much to our customers for this milestone. (audience applauding) So, let me recap some of the transformation elements that have happened over the last year. Last year I talked about a lot of brand confusion, because we had the ThinkServer brand from the legacy Lenovo, the System x, from IBM, we had acquired a number of networking companies, like BLADE Network Technologies, et cetera, et cetera. Over the last year we've been ramping based on two brand structures, ThinkAgile for next generation IT, and all of our software-defined infrastructure products and ThinkSystem as the world's highest performance, highest reliable x86 server brand, but for servers, for storage, and for networking. We have transformed every single aspect of the customer experience. A year and a half ago, we had four different global channel programs around the world. Typically we're about twice the mix to our channel partners of any of our competitors, so this was really important to fix. We now have a single global Channel program, and have technically certified over 11,000 partners to be technical experts on our product line to deliver better solutions to our customer base. Gardner recently recognized Lenovo as the 26th ranked supply chain in the world. And, that's a pretty big honor, when you're up there with Amazon and Walmart and others, but in tech, we now are in the top five supply chains. You saw the factory network from YY, and today we'll be talking about product shipping in more than 160 countries, and I know there's people here that I've met already this morning, from India, from South Africa, from Brazil and China. We announced new Premier Support services, enabling you to go directly to local language support in nine languages in 49 countries in the world, going directly to a native speaker level three support engineer. And today we have more than 10,000 support specialists supporting our products in over 160 countries. We've delivered three times the number of engineered solutions to deliver a solutions orientation, whether it's on HANA, or SQL Server, or Oracle, et cetera, and we've completely reengaged our system integrator channel. Last year we had the CIO of DXE on stage, and here we're talking about more than 175 percent growth through our system integrator channel in the last year alone as we've brought that back and really built strong relationships there. So, thank you very much for amazing work here on the customer experience. (audience applauding) We also transformed our leadership. We thought it was extremely important with a focus on diversity, to have diverse talent from the legacy IBM, the legacy Lenovo, but also outside the industry. We made about 19 executive changes in the DCG group. This is the most senior leadership team within DCG, all which are newly on board, either from our outside competitors mainly over the last year. About 50 percent of our executives were now hired internally, 50 percent externally, and 31 percent of those new executives are diverse, representing the diversity of our global customer base and gender. So welcome, and most of them you're going to be able to meet over here in the breakout sessions later today. (audience applauding) But some things haven't changed, they're just keeping getting better within Lenovo. So, last year I got up and said we were committed with the new ThinkSystem brand to be a world performance leader. You're going to see that we're sponsoring Ducati for MotoGP. You saw the Ferrari out there with Formula One. That's not a surprise. We want the Lenovo ThinkSystem and ThinkAgile brands to be synonymous with world record performance. So in the last year we've gone from 39 to 89 world records, and partners like Intel would tell you, we now have four times the number of world record workloads on Lenovo hardware than any other server company on the planet today, with more than 89 world records across HPC, Java, database, transaction processing, et cetera. And we're proud to have just brought on Doug Fisher from Intel Corporation who had about 10-17,000 people on any given year working for him in workload optimizations across all of our software. It's just another testament to the leadership team we're bringing in to keep focusing on world-class performance software and solutions. We also per ITIC, are the number one now in x86 server reliability five years running. So, this is a survey where CIOs are in a blind survey asked to submit their reliability of their uptime on their x86 server equipment over the last 365 days. And you can see from 2016 to 2017 the downtime, there was over four hours as noted by the 750 CXOs in more than 20 countries is about one percent for the Lenovo products, and is getting worse generation from generation as we went from Broadwell to Pearlie. So we're taking our reliability, which was really paramount in the IBM System X heritage, and ensuring that we don't just recognize high performance but we recognize the highest level of reliability for mission-critical workloads. And what that translates into is that we at once again have been ranked number one in customer satisfaction from you our customers in 19 of 22 attributes, in North America in 18 of 22. This is a survey by TVR across hundreds of customers of us and our top competitors. This is the ninth consecutive study that we've been ranked number one in customer satisfaction, so we're taking this extremely seriously, and in fact YY now has increased the compensation of every single Lenovo employee. Up to 40 percent of their compensation bonus this year is going to be based on customer metrics like quality, order to ship, and things of this nature. So, we're really putting every employee focused on customer centricity this year. So, the summary on Transform 1.0 is that every aspect of what you knew about Lenovo's data center group has transformed, from the culture to the branding to dedicated sales and marketing, supply chain and quality groups, to a worldwide channel program and certifications, to new system integrator relationships, and to the new leadership team. So, rather than me just talk about it, I thought I'd share a quick video about what we've done over the last year, if you could run the video please. Turn around for a second. (epic music) (audience applauds) Okay. So, thank you to all our customers that allowed us to publicly display their logos in that video. So, what that means for you as investors, and for the investor community out there is, that our customers have responded, that this year Gardner just published that we are the fastest growing server company in the top 10, with 39 percent growth quarter-on-quarter, and 49 percent growth year-on-year. If you look at the progress we've made since the transformation the last three quarters publicly, we've grown 17 percent, then 44 percent, then 68 percent year on year in revenue, and I can tell you this quarter I'm as confident as ever in the financials around the DCG group, and it hasn't been in one area. You're going to see breakout sessions from hyperscale, software-defined, and flash, which are all growing more than a 100 percent year-on-year, supercomputing which we'll talk about shortly, now number one, and then ultimately from profitability, delivering five consecutive quarters of pre-tax profit increase, so I think, thank you very much to the customer base who's been working with us through this transformation journey. So, you're here to really hear what's next on 2.0, and that's what I'm excited to talk about today. Last year I came up with an audacious goal that we would become the largest supercomputer company on the planet by 2020, and this graph represents since the acquisition of the IBM System x business how far we were behind being the number one supercomputer. When we started we were 182 positions behind, even with the acquisition for example of SGI from HP, we've now accomplished our goal actually two years ahead of time. We're now the largest supercomputer company in the world. About one in every four supercomputers, 117 on the list, are now Lenovo computers, and you saw in the video where the universities are said, but I think what I'm most proud of is when your customers rank you as the best. So the awards at the bottom here, are actually Readers Choice from the last International Supercomputing Show where the scientific researchers on these computers ranked their vendors, and we were actually rated the number one server technology in supercomputing with our ThinkSystem SD530, and the number one storage technology with our ThinkSystem DSS-G, but more importantly what we're doing with the technology. You're going to see we won best in life sciences, best in data analytics, and best in collaboration as well, so you're going to see all of that in our breakout sessions. As you saw in the video now, 17 of the top 25 research institutions in the world are now running Lenovo supercomputers. And again coming from Raleigh and watching that hurricane come across the Atlantic, there are eight supercomputers crunching all of those models you see from Germany to Malaysia to Canada, and we're happy to have a SciNet from University of Toronto here with us in our breakout session to talk about what they're doing on climate modeling as well. But we're not stopping there. We just announced our new Neptune warm water cooling technology, which won the International Supercomputing Vendor Showdown, the first time we've won that best of show in 25 years, and we've now installed this. We're building out LRZ in Germany, the first ever warm water cooling in Peking University, at the India Space Propulsion Laboratory, at the Malaysian Weather and Meteorological Society, at Uninett, at the largest supercomputer in Norway, T-Systems, University of Birmingham. This is truly amazing technology where we're actually using water to cool the machine to deliver a significantly more energy-efficient computer. Super important, when we're looking at global warming and some of the electric bills can be millions of dollars just for one computer, and could actually power a small city just with the technology from the computer. We've built AI centers now in Morrisville, Stuttgart, Taipei, and Beijing, where customers can bring their AI workloads in with experts from Intel, from Nvidia, from our FPGA partners, to work on their workloads, and how they can best implement artificial intelligence. And we also this year launched LICO which is Lenovo Intelligent Compute Orchestrator software, and it's a software solution that simplifies the management and use of distributed clusters in both HPC and AI model development. So, what it enables you to do is take a single cluster, and run both HPC and AI workloads on it simultaneously, delivering better TCO for your environment, so check out LICO as well. A lot of the customers here and Wall Street are very excited and using it already. And we talked about solving humanity's greatest challenges. In the breakout session, you're going to have a virtual reality experience where you're going to be able to walk through what as was just ranked the world's most beautiful data center, the Barcelona Supercomputer. So, you can actually walk through one of the largest supercomputers in the world from Barcelona. You can see the work we're doing with NC State where we're going to have to grow the food supply of the world by 50 percent, and there's not enough fresh water in the world in the right places to actually make all those crops grow between now and 2055, so you're going to see the progression of how they're mapping the entire globe and the water around the world, how to build out the crop population over time using AI. You're going to see our work with Vestas is this largest supercomputer provider in the wind turbine areas, how they're working on wind energy, and then with University College London, how they're working on some of the toughest particle physics calculations in the world. So again, lots of opportunity here. Take advantage of it in the breakout sessions. Okay, let me transition to hyperscale. So in hyperscale now, we have completely transformed our business model. We are now powering six of the top 10 hyperscalers in the world, which is a significant difference from where we were two years ago. And the reason we're doing that, is we've coined a term called ODM+. We believe that hyperscalers want more procurement power than an ODM, and Lenovo is doing about $18 billion of procurement a year. They want a broader global supply chain that they can get from a local system integrator. We're more than 160 countries around the world, but they want the same world-class quality and reliability like they get from an MNC. So, what we're doing now is instead of just taking off the shelf motherboards from somewhere, we're starting with a blank sheet of paper, we're working with the customer base on customized SKUs and you can see we already are developing 33 custom solutions for the largest hyperscalers in the world. And then we're not just running notebooks through this factory where YY said, we're running 37 notebook boards a minute, we're now putting in tens and tens and tens of thousands of server board capacity per month into this same factory, so absolutely we can compete with the most aggressive ODM's in the world, but it's not just putting these things in in the motherboard side, we're also building out these systems all around the world, India, Brazil, Hungary, Mexico, China. This is an example of a new hyperscale customer we've had this last year, 34,000 servers we delivered in the first six months. The next 34,000 servers we delivered in 68 days. The next 34,000 servers we delivered in 35 days, with more than 99 percent on-time delivery to 35 data centers in 14 countries as diverse as South Africa, India, China, Brazil, et cetera. And I'm really ashamed to say it was 99.3, because we did have a forklift driver who rammed their forklift right through the middle of the one of the server racks. (audience laughing) At JFK Airport that we had to respond to, but I think this gives you a perspective of what it is to be a top five global supply chain and technology. So last year, I said we would invest significantly in IP, in joint ventures, and M and A to compete in software defined, in networking, and in storage, so I wanted to give you an update on that as well. Our newest software-defined partnership is with Cloudistics, enabling a fully composable cloud infrastructure. It's an exclusive agreement, you can see them here. I think Nag, our founder, is going to be here today, with a significant Lenovo investment in the company. So, this new ThinkAgile CP series delivers the simplicity of the public cloud, on-premise with exceptional support and a marketplace of essential enterprise applications all with a single click deployment. So simply put, we're delivering a private cloud with a premium experience. It's simple in that you need no specialists to deploy it. An IT generalist can set it up and manage it. It's agile in that you can provision dozens of workloads in minutes, and it's transformative in that you get all of the goodness of public cloud on-prem in a private cloud to unlock opportunity for use. So, we're extremely excited about the ThinkAgile CP series that's now shipping into the marketplace. Beyond that we're aggressively ramping, and we're either doubling, tripling, or quadrupling our market share as customers move from traditional server technology to software-defined technology. With Nutanix we've been public, growing about more than 150 percent year-on-year, with Nutanix as their fastest growing Nutanix partner, but today I want to set another audacious goal. I believe we cannot just be Nutanix's fastest growing partner but we can become their largest partner within two years. On Microsoft, we are already four times our market share on Azure stack of our traditional business. We were the first to launch our ThinkAgile on Broadwell and on Skylake with the Azure Stack Infrastructure. And on VMware we're about twice our market segment share. We were the first to deliver an Intel-optimized Optane-certified VSAN node. And with Optane technology, we're delivering 50 percent more VM density than any competitive SSD system in the marketplace, about 10 times lower latency, four times the performance of any SSD system out there, and Lenovo's first to market on that. And at VMworld you saw CEO Pat Gelsinger of VMware talked about project dimension, which is Edge as a service, and we're the only OEM beyond the Dell family that is participating today in project dimension. Beyond that you're going to see a number of other partnerships we have. I'm excited that we have the city of Bogota Columbia here, an eight million person city, where we announced a 3,000 camera video surveillance solution last month. With pivot three you're going to see city of Bogota in our breakout sessions. You're going to see a new partnership with Veeam around backup that's launching today. You're going to see partnerships with scale computing in IoT and hyper-converged infrastructure working on some of the largest retailers in the world. So again, everything out in the breakout session. Transitioning to storage and data management, it's been a great year for Lenovo, more than a 100 percent growth year-on-year, 2X market growth in flash arrays. IDC just reported 30 percent growth in storage, number one in price performance in the world and the best HPC storage product in the top 500 with our ThinkSystem DSS G, so strong coverage, but I'm excited today to announce for Transform 2.0 that Lenovo is launching the largest data management and storage portfolio in our 25-year data center history. (audience applauding) So a year ago, the largest server portfolio, becoming the largest fastest growing server OEM, today the largest storage portfolio, but as you saw this morning we're not doing it alone. Today Lenovo and NetApp, two global powerhouses are joining forces to deliver a multi-billion dollar global alliance in data management and storage to help customers through their intelligent transformation. As the fastest growing worldwide server leader and one of the fastest growing flash array and data management companies in the world, we're going to deliver more choice to customers than ever before, global scale that's never been seen, supply chain efficiencies, and rapidly accelerating innovation and solutions. So, let me unwrap this a little bit for you and talk about what we're announcing today. First, it's the largest portfolio in our history. You're going to see not just storage solutions launching today but a set of solution recipes from NetApp that are going to make Lenovo server and NetApp or Lenovo storage work better together. The announcement enables Lenovo to go from covering 15 percent of the global storage market to more than 90 percent of the global storage market and distribute these products in more than 160 countries around the world. So we're launching today, 10 new storage platforms, the ThinkSystem DE and ThinkSystem DM platforms. They're going to be centrally managed, so the same XClarity management that you've been using for server, you can now use across all of your storage platforms as well, and it'll be supported by the same 10,000 plus service personnel that are giving outstanding customer support to you today on the server side. And we didn't come up with this in the last month or the last quarter. We're announcing availability in ordering today and shipments tomorrow of the first products in this portfolio, so we're excited today that it's not just a future announcement but something you as customers can take advantage of immediately. (audience applauding) The second part of the announcement is we are announcing a joint venture in China. Not only will this be a multi-billion dollar global partnership, but Lenovo will be a 51 percent owner, NetApp a 49 percent owner of a new joint venture in China with the goal of becoming in the top three storage companies in the largest data and storage market in the world. We will deliver our R and D in China for China, pooling our IP and resources together, and delivering a single route to market through a complementary channel, not just in China but worldwide. And in the future I just want to tell everyone this is phase one. There is so much exciting stuff. We're going to be on the stage over the next year talking to you about around integrated solutions, next-generation technologies, and further synergies and collaborations. So, rather than just have me talk about it, I'd like to welcome to the stage our new partner NetApp and Brad Anderson who's the senior vice president and general manager of NetApp Cloud Infrastructure. (upbeat music) (audience applauding) >> Thank You Kirk. >> So Brad, we've known each other a long time. It's an exciting day. I'm going to give you the stage and allow you to say NetApp's perspective on this announcement. >> Very good, thank you very much, Kirk. Kirk and I go back to I think 1994, so hey good morning and welcome. My name is Brad Anderson. I manage the Cloud Infrastructure Group at NetApp, and I am honored and privileged to be here at Lenovo Transform, particularly today on today's announcement. Now, you've heard a lot about digital transformation about how companies have to transform their IT to compete in today's global environment. And today's announcement with the partnership between NetApp and Lenovo is what that's all about. This is the joining of two global leaders bringing innovative technology in a simplified solution to help customers modernize their IT and accelerate their global digital transformations. Drawing on the strengths of both companies, Lenovo's high performance compute world-class supply chain, and NetApp's hybrid cloud data management, hybrid flash and all flash storage solutions and products. And both companies providing our customers with the global scale for them to be able to meet their transformation goals. At NetApp, we're very excited. This is a quote from George Kurian our CEO. George spent all day yesterday with YY and Kirk, and would have been here today if it hadn't been also our shareholders meeting in California, but I want to just convey how excited we are for all across NetApp with this partnership. This is a partnership between two companies with tremendous market momentum. Kirk took you through all the amazing results that Lenovo has accomplished, number one in supercomputing, number one in performance, number one in x86 reliability, number one in x86 customers sat, number five in supply chain, really impressive and congratulations. Like Lenovo, NetApp is also on a transformation journey, from a storage company to the data authority in hybrid cloud, and we've seen some pretty impressive momentum as well. Just last week we became number one in all flash arrays worldwide, catching EMC and Dell, and we plan to keep on going by them, as we help customers modernize their their data centers with cloud connected flash. We have strategic partnerships with the largest hyperscalers to provide cloud native data services around the globe and we are having success helping our customers build their own private clouds with just, with a new disruptive hyper-converged technology that allows them to operate just like hyperscalers. These three initiatives has fueled NetApp's transformation, and has enabled our customers to change the world with data. And oh by the way, it has also fueled us to have meet or have beaten Wall Street's expectations for nine quarters in a row. These are two companies with tremendous market momentum. We are also building this partnership for long term success. We think about this as phase one and there are two important components to phase one. Kirk took you through them but let me just review them. Part one, the establishment of a multi-year commitment and a collaboration agreement to offer Lenovo branded flash products globally, and as Kurt said in 160 countries. Part two, the formation of a joint venture in PRC, People's Republic of China, that will provide long term commitment, joint product development, and increase go-to-market investment to meet the unique needs to China. Both companies will put in storage technologies and storage expertise to form an independent JV that establishes a data management company in China for China. And while we can dream about what phase two looks like, our entire focus is on making phase one incredibly successful and I'm pleased to repeat what Kirk, is that the first products are orderable and shippable this week in 160 different countries, and you will see our two companies focusing on the here and now. On our joint go to market strategy, you'll see us working together to drive strategic alignment, focused execution, strong governance, and realistic expectations and milestones. And it starts with the success of our customers and our channel partners is job one. Enabling customers to modernize their legacy IT with complete data center solutions, ensuring that our customers get the best from both companies, new offerings the fuel business success, efficiencies to reinvest in game-changing initiatives, and new solutions for new mission-critical applications like data analytics, IoT, artificial intelligence, and machine learning. Channel partners are also top of mind for both our two companies. We are committed to the success of our existing and our future channel partners. For NetApp channel partners, it is new pathways to new segments and to new customers. For Lenovo's channel partners, it is the competitive weapons that now allows you to compete and more importantly win against Dell, EMC, and HP. And the good news for both companies is that our channel partner ecosystem is highly complementary with minimal overlap. Today is the first day of a very exciting partnership, of a partnership that will better serve our customers today and will provide new opportunities to both our companies and to our partners, new products to our customers globally and in China. I am personally very excited. I will be on the board of the JV. And so, I look forward to working with you, partnering with you and serving you as we go forward, and with that, I'd like to invite Kirk back up. (audience applauding) >> Thank you. >> Thank you. >> Well, thank you, Brad. I think it's an exciting overview, and these products will be manufactured in China, in Mexico, in Hungary, and around the world, enabling this amazing supply chain we talked about to deliver in over 160 countries. So thank you Brad, thank you George, for the amazing partnership. So again, that's not all. In Transform 2.0, last year, we talked about the joint ventures that were coming. I want to give you a sneak peek at what you should expect at future Lenovo events around the world. We have this Transform in Beijing in a couple weeks. We'll then be repeating this in 20 different locations roughly around the world over the next year, and I'm excited probably more than ever about what else is coming. Let's talk about Telco 5G and network function virtualization. Today, Motorola phones are certified on 46 global networks. We launched the world's first 5G upgradable phone here in the United States with Verizon. Lenovo DCG sells to 58 telecommunication providers around the world. At Mobile World Congress in Barcelona and Shanghai, you saw China Telecom and China Mobile in the Lenovo booth, China Telecom showing a video broadband remote access server, a VBRAS, with video streaming demonstrations with 2x less jitter than they had seen before. You saw China Mobile with a virtual remote access network, a VRAN, with greater than 10 times the throughput and 10x lower latency running on Lenovo. And this year, we'll be launching a new NFV company, a software company in China for China to drive the entire NFV stack, delivering not just hardware solutions, but software solutions, and we've recently hired a new CEO. You're going to hear more about that over the next several quarters. Very exciting as we try to drive new economics into the networks to deliver these 20 billion devices. We're going to need new economics that I think Lenovo can uniquely deliver. The second on IoT and edge, we've integrated on the device side into our intelligent devices group. With everything that's going to consume electricity computes and communicates, Lenovo is in a unique position on the device side to take advantage of the communications from Motorola and being one of the largest device companies in the world. But this year, we're also going to roll out a comprehensive set of edge gateways and ruggedized industrial servers and edge servers and ISP appliances for the edge and for IoT. So look for that as well. And then lastly, as a service, you're going to see Lenovo delivering hardware as a service, device as a service, infrastructure as a service, software as a service, and hardware as a service, not just as a glorified leasing contract, but with IP, we've developed true flexible metering capability that enables you to scale up and scale down freely and paying strictly based on usage, and we'll be having those announcements within this fiscal year. So Transform 2.0, lots to talk about, NetApp the big news of the day, but a lot more to come over the next year from the Data Center group. So in summary, I'm excited that we have a lot of customers that are going to be on stage with us that you saw in the video. Lots of testimonials so that you can talk to colleagues of yourself. Alamos Gold from Canada, a Canadian gold producer, Caligo for data optimization and privacy, SciNet, the largest supercomputer we've ever put into North America, and the largest in Canada at the University of Toronto will be here talking about climate change. City of Bogota again with our hyper-converged solutions around smart city putting in 3,000 cameras for criminal detection, license plate detection, et cetera, and then more from a channel mid market perspective, Jerry's Foods, which is from my home state of Wisconsin, and Minnesota which has about 57 stores in the specialty foods market, and how they're leveraging our IoT solutions as well. So again, about five times the number of demos that we had last year. So in summary, first and foremost to the customers, thank you for your business. It's been a great journey and I think we're on a tremendous role. You saw from last year, we're trying to build credibility with you. After the largest server portfolio, we're now the fastest-growing server OEM per Gardner, number one in performance, number one in reliability, number one in customer satisfaction, number one in supercomputing. Today, the largest storage portfolio in our history, with the goal of becoming the fastest growing storage company in the world, top three in China, multibillion-dollar collaboration with NetApp. And the transformation is going to continue with new edge gateways, edge servers, NFV solutions, telecommunications infrastructure, and hardware as a service with dynamic metering. So thank you for your time. I've looked forward to meeting many of you over the next day. We appreciate your business, and with that, I'd like to bring up Rod Lappen to introduce our next speaker. Rod? (audience applauding) >> Thanks, boss, well done. Alright ladies and gentlemen. No real secret there. I think we've heard why I might talk about the fourth Industrial Revolution in data and exactly what's going on with that. You've heard Kirk with some amazing announcements, obviously now with our NetApp partnership, talk about 5G, NFV, cloud, artificial intelligence, I think we've hit just about all the key hot topics. It's with great pleasure that I now bring up on stage Mr. Christian Teismann, our senior vice president and general manager of commercial business for both our PCs and our IoT business, so Christian Teismann. (techno music) Here, take that. >> Thank you. I think I'll need that. >> Okay, Christian, so obviously just before we get down, you and I last year, we had a bit of a chat about being in New York. >> Exports. >> You were an expat in New York for a long time. >> That's true. >> And now, you've moved from New York. You're in Munich? >> Yep. >> How does that feel? >> Well Munich is a wonderful city, and it's a great place to live and raise kids, but you know there's no place in the world like New York. >> Right. >> And I miss it a lot, quite frankly. >> So what exactly do you miss in New York? >> Well there's a lot of things in New York that are unique, but I know you spent some time in Japan, but I still believe the best sushi in the world is still in New York City. (all laughing) >> I will beg to differ. I will beg to differ. I think Mr. Guchi-san from Softbank is here somewhere. He will get up an argue very quickly that Japan definitely has better sushi than New York. But obviously you know, it's a very very special place, and I have had sushi here, it's been fantastic. What about Munich? Anything else that you like in Munich? >> Well I mean in Munich, we have pork knuckles. >> Pork knuckles. (Christian laughing) Very similar sushi. >> What is also very fantastic, but we have the real, the real Oktoberfest in Munich, and it starts next week, mid-September, and I think it's unique in the world. So it's very special as well. >> Oktoberfest. >> Yes. >> Unfortunately, I'm not going this year, 'cause you didn't invite me, but-- (audience chuckling) How about, I think you've got a bit of a secret in relation to Oktoberfest, probably not in Munich, however. >> It's a secret, yes, but-- >> Are you going to share? >> Well I mean-- >> See how I'm putting you on the spot? >> In the 10 years, while living here in New York, I was a regular visitor of the Oktoberfest at the Lower East Side in Avenue C at Zum Schneider, where I actually met my wife, and she's German. >> Very good. So, how about a big round of applause? (audience applauding) Not so much for Christian, but more I think, obviously for his wife, who obviously had been drinking and consequently ended up with you. (all laughing) See you later, mate. >> That's the beauty about Oktoberfest, but yes. So first of all, good morning to everybody, and great to be back here in New York for a second Transform event. New York clearly is the melting pot of the world in terms of culture, nations, but also business professionals from all kind of different industries, and having this event here in New York City I believe is manifesting what we are trying to do here at Lenovo, is transform every aspect of our business and helping our customers on the journey of intelligent transformation. Last year, in our transformation on the device business, I talked about how the PC is transforming to personalized computing, and we've made a lot of progress in that journey over the last 12 months. One major change that we have made is we combined all our device business under one roof. So basically PCs, smart devices, and smart phones are now under the roof and under the intelligent device group. But from my perspective makes a lot of sense, because at the end of the day, all devices connect in the modern world into the cloud and are operating in a seamless way. But we are also moving from a device business what is mainly a hardware focus historically, more and more also into a solutions business, and I will give you during my speech a little bit of a sense of what we are trying to do, as we are trying to bring all these components closer together, and specifically also with our strengths on the data center side really build end-to-end customer solution. Ultimately, what we want to do is make our business, our customer's businesses faster, safer, and ultimately smarter as well. So I want to look a little bit back, because I really believe it's important to understand what's going on today on the device side. Many of us have still grown up with phones with terminals, ultimately getting their first desktop, their first laptop, their first mobile phone, and ultimately smartphone. Emails and internet improved our speed, how we could operate together, but still we were defined by linear technology advances. Today, the world has changed completely. Technology itself is not a limiting factor anymore. It is how we use technology going forward. The Internet is pervasive, and we are not yet there that we are always connected, but we are nearly always connected, and we are moving to the stage, that everything is getting connected all the time. Sharing experiences is the most driving force in our behavior. In our private life, sharing pictures, videos constantly, real-time around the world, with our friends and with our family, and you see the same behavior actually happening in the business life as well. Collaboration is the number-one topic if it comes down to workplace, and video and instant messaging, things that are coming from the consumer side are dominating the way we are operating in the commercial business as well. Most important beside technology, that a new generation of workforce has completely changed the way we are working. As the famous workforce the first generation of Millennials that have now fully entered in the global workforce, and the next generation, it's called Generation Z, is already starting to enter the global workforce. By 2025, 75 percent of the world's workforce will be composed out of two of these generations. Why is this so important? These two generations have been growing up using state-of-the-art IT technology during their private life, during their education, school and study, and are taking these learnings and taking these behaviors in the commercial workspace. And this is the number one force of change that we are seeing in the moment. Diverse workforces are driving this change in the IT spectrum, and for years in many of our customers' focus was their customer focus. Customer experience also in Lenovo is the most important thing, but we've realized that our own human capital is equally valuable in our customer relationships, and employee experience is becoming a very important thing for many of our customers, and equally for Lenovo as well. As you have heard YY, as we heard from YY, Lenovo is focused on intelligent transformation. What that means for us in the intelligent device business is ultimately starting with putting intelligence in all of our devices, smartify every single one of our devices, adding value to our customers, traditionally IT departments, but also focusing on their end users and building products that make their end users more productive. And as a world leader in commercial devices with more than 33 percent market share, we can solve problems been even better than any other company in the world. So, let's talk about transformation of productivity first. We are in a device-led world. Everything we do is connected. There's more interaction with devices than ever, but also with spaces who are increasingly becoming smart and intelligent. YY said it, by 2020 we have more than 20 billion connected devices in the world, and it will grow exponentially from there on. And users have unique personal choices for technology, and that's very important to recognize, and we call this concept a digital wardrobe. And it means that every single end-user in the commercial business is composing his personal wardrobe on an ongoing basis and is reconfiguring it based on the work he's doing and based where he's going and based what task he is doing. I would ask all of you to put out all the devices you're carrying in your pockets and in your bags. You will see a lot of you are using phones, tablets, laptops, but also cameras and even smartwatches. They're all different, but they have one underlying technology that is bringing it all together. Recognizing digital wardrobe dynamics is a core factor for us to put all the devices under one roof in IDG, one business group that is dedicated to end-user solutions across mobile, PC, but also software services and imaging, to emerging technologies like AR, VR, IoT, and ultimately a AI as well. A couple of years back there was a big debate around bring-your-own-device, what was called consumerization. Today consumerization does not exist anymore, because consumerization has happened into every single device we build in our commercial business. End users and commercial customers today do expect superior display performance, superior audio, microphone, voice, and touch quality, and have it all connected and working seamlessly together in an ease of use space. We are already deep in the journey of personalized computing today. But the center point of it has been for the last 25 years, the mobile PC, that we have perfected over the last 25 years, and has been the undisputed leader in mobility computing. We believe in the commercial business, the ThinkPad is still the core device of a digital wardrobe, and we continue to drive the success of the ThinkPad in the marketplace. We've sold more than 140 million over the last 26 years, and even last year we exceeded nearly 11 million units. That is about 21 ThinkPads per minute, or one Thinkpad every three seconds that we are shipping out in the market. It's the number one commercial PC in the world. It has gotten countless awards but we felt last year after Transform we need to build a step further, in really tailoring the ThinkPad towards the need of the future. So, we announced a new line of X1 Carbon and Yoga at CES the Consumer Electronics Show. And the reason is not we want to sell to consumer, but that we do recognize that a lot of CIOs and IT decision makers need to understand what consumers are really doing in terms of technology to make them successful. So, let's take a look at the video. (suspenseful music) >> When you're the number one business laptop of all time, your only competition is yourself. (wall shattering) And, that's different. Different, like resisting heat, ice, dust, and spills. Different, like sharper, brighter OLA display. The trackpoint that reinvented controls, and a carbon fiber roll cage to protect what's inside, built by an engineering and design team, doing the impossible for the last 25 years. This is the number one business laptop of all time, but it's not a laptop. It's a ThinkPad. (audience applauding) >> Thank you very much. And we are very proud that Lenovo ThinkPad has been selected as the best laptop in the world in the second year in a row. I think it's a wonderful tribute to what our engineers have been done on this one. And users do want awesome displays. They want the best possible audio, voice, and touch control, but some users they want more. What they want is super power, and I'm really proud to announce our newest member of the X1 family, and that's the X1 extreme. It's exceptionally featured. It has six core I9 intel chipset, the highest performance you get in the commercial space. It has Nvidia XTX graphic, it is a 4K UHD display with HDR with Dolby vision and Dolby Atmos Audio, two terabyte in SSD, so it is really the absolute Ferrari in terms of building high performance commercial computer. Of course it has touch and voice, but it is one thing. It has so much performance that it serves also a purpose that is not typical for commercial, and I know there's a lot of secret gamers also here in this room. So you see, by really bringing technology together in the commercial space, you're creating productivity solutions of one of a kind. But there's another category of products from a productivity perspective that is incredibly important in our commercial business, and that is the workstation business . Clearly workstations are very specifically designed computers for very advanced high-performance workloads, serving designers, architects, researchers, developers, or data analysts. And power and performance is not just about the performance itself. It has to be tailored towards the specific use case, and traditionally these products have a similar size, like a server. They are running on Intel Xeon technology, and they are equally complex to manufacture. We have now created a new category as the ultra mobile workstation, and I'm very proud that we can announce here the lightest mobile workstation in the industry. It is so powerful that it really can run AI and big data analysis. And with this performance you can go really close where you need this power, to the sensors, into the cars, or into the manufacturing places where you not only wannna read the sensors but get real-time analytics out of these sensors. To build a machine like this one you need customers who are really challenging you to the limit. and we're very happy that we had a customer who went on this journey with us, and ultimately jointly with us created this product. So, let's take a look at the video. (suspenseful music) >> My world involves pathfinding both the hardware needs to the various work sites throughout the company, and then finding an appropriate model of desktop, laptop, or workstation to match those needs. My first impressions when I first seen the ThinkPad P1 was I didn't actually believe that we could get everything that I was asked for inside something as small and light in comparison to other mobile workstations. That was one of the I can't believe this is real sort of moments for me. (engine roars) >> Well, it's better than general when you're going around in the wind tunnel, which isn't alway easy, and going on a track is not necessarily the best bet, so having a lightweight very powerful laptop is extremely useful. It can take a Xeon processor, which can support ECC from when we try to load a full car, and when we're analyzing live simulation results. through and RCFT post processor or example. It needs a pretty powerful machine. >> It's come a long way to be able to deliver this. I hate to use the word game changer, but it is that for us. >> Aston Martin has got a lot of different projects going. There's some pretty exciting projects and a pretty versatile range coming out. Having Lenovo as a partner is certainly going to ensure that future. (engine roars) (audience applauds) >> So, don't you think the Aston Martin design and the ThinkPad design fit very well together? (audience laughs) So if Q, would get a new laptop, I think you would get a ThinkPad X P1. So, I want to switch gears a little bit, and go into something in terms of productivity that is not necessarily on top of the mind or every end user but I believe it's on top of the mind of every C-level executive and of every CEO. Security is the number one threat in terms of potential risk in your business and the cost of cybersecurity is estimated by 2020 around six trillion dollars. That's more than the GDP of Japan and we've seen a significant amount of data breach incidents already this years. Now, they're threatening to take companies out of business and that are threatening companies to lose a huge amount of sensitive customer data or internal data. At Lenovo, we are taking security very, very seriously, and we run a very deep analysis, around our own security capabilities in the products that we are building. And we are announcing today a new brand under the Think umbrella that is called ThinkShield. Our goal is to build the world's most secure PC, and ultimately the most secure devices in the industry. And when we looked at this end-to-end, there is no silver bullet around security. You have to go through every aspect where security breaches can potentially happen. That is why we have changed the whole organization, how we look at security in our device business, and really have it grouped under one complete ecosystem of solutions, Security is always something where you constantly are getting challenged with the next potential breach the next potential technology flaw. As we keep innovating and as we keep integrating, a lot of our partners' software and hardware components into our products. So for us, it's really very important that we partner with companies like Intel, Microsoft, Coronet, Absolute, and many others to really as an example to drive full encryption on all the data seamlessly, to have multi-factor authentication to protect your users' identity, to protect you in unsecured Wi-Fi locations, or even simple things like innovation on the device itself, to and an example protect the camera, against usage with a little thing like a thinkShutter that you can shut off the camera. SO what I want to show you here, is this is the full portfolio of ThinkShield that we are announcing today. This is clearly not something I can even read to you today, but I believe it shows you the breadth of security management that we are announcing today. There are four key pillars in managing security end-to-end. The first one is your data, and this has a lot of aspects around the hardware and the software itself. The second is identity. The third is the security around online, and ultimately the device itself. So, there is a breakout on security and ThinkShield today, available in the afternoon, and encourage you to really take a deeper look at this one. The first pillar around productivity was the device, and around the device. The second major pillar that we are seeing in terms of intelligent transformation is the workspace itself. Employees of a new generation have a very different habit how they work. They split their time between travel, working remotely but if they do come in the office, they expect a very different office environment than what they've seen in the past in cubicles or small offices. They come into the office to collaborate, and they want to create ideas, and they really work in cross-functional teams, and they want to do it instantly. And what we've seen is there is a huge amount of investment that companies are doing today in reconfiguring real estate reconfiguring offices. And most of these kind of things are moving to a digital platform. And what we are doing, is we want to build an entire set of solutions that are just focused on making the workspace more productive for remote workforce, and to create technology that allow people to work anywhere and connect instantly. And the core of this is that we need to be, the productivity of the employee as high as possible, and make it for him as easy as possible to use these kind of technologies. Last year in Transform, I announced that we will enter the smart office space. By the end of last year, we brought the first product into the market. It's called the Hub 500. It's already deployed in thousands of our customers, and it's uniquely focused on Microsoft Skype for Business, and making meeting instantly happen. And the product is very successful in the market. What we are announcing today is the next generation of this product, what is the Hub 700, what has a fantastic audio quality. It has far few microphones, and it is usable in small office environment, as well as in major conference rooms, but the most important part of this new announcement is that we are also announcing a software platform, and this software platform allows you to run multiple video conferencing software solutions on the same platform. Many of you may have standardized for one software solution or for another one, but as you are moving in a world of collaborating instantly with partners, customers, suppliers, you always will face multiple software standards in your company, and Lenovo is uniquely positioned but providing a middleware platform for the device to really enable multiple of these UX interfaces. And there's more to come and we will add additional UX interfaces on an ongoing base, based on our customer requirements. But this software does not only help to create a better experience and a higher productivity in the conference room or the huddle room itself. It really will allow you ultimately to manage all your conference rooms in the company in one instance. And you can run AI technologies around how to increase productivity utilization of your entire conference room ecosystem in your company. You will see a lot more devices coming from the node in this space, around intelligent screens, cameras, and so on, and so on. The idea is really that Lenovo will become a core provider in the whole movement into the smart office space. But it's great if you have hardware and software that is really supporting the approach of modern IT, but one component that Kirk also mentioned is absolutely critical, that we are providing this to you in an as a service approach. Get it what you want, when you need it, and pay it in the amount that you're really using it. And within UIT there is also I think a new philosophy around IT management, where you're much more focused on the value that you are consuming instead of investing into technology. We are launched as a service two years back and we already have a significant number of customers running PC as a service, but we believe as a service will stretch far more than just the PC device. It will go into categories like smart office. It might go even into categories like phone, and it will definitely go also in categories like storage and server in terms of capacity management. I want to highlight three offerings that we are also displaying today that are sort of building blocks in terms of how we really run as a service. The first one is that we collaborated intensively over the last year with Microsoft to be the launch pilot for their Autopilot offering, basically deploying images easily in the same approach like you would deploy a new phone on the network. The purpose really is to make new imaging and enabling new PC as seamless as it's used to be in the phone industry, and we have a complete set of offerings, and already a significant number customers have deployed Autopilot with Lenovo. The second major offering is Premier Support, like in the in the server business, where Premier Support is absolutely critical to run critical infrastructure, we see a lot of our customers do want to have Premier Support for their end users, so they can be back into work basically instantly, and that you have the highest possible instant repair on every single device. And then finally we have a significant amount of time invested into understanding how the software as a service really can get into one philosophy. And many of you already are consuming software as a service in many different contracts from many different vendors, but what we've created is one platform that really can manage this all together. All these things are the foundation for a device as a service offering that really can manage this end-to-end. So, implementing an intelligent workplace can be really a daunting prospect depending on where you're starting from, and how big your company ultimately is. But how do you manage the transformation of technology workspace if you're present in 50 or more countries and you run an infrastructure for more than 100,000 people? Michelin, famous for their tires, infamous for their Michelin star restaurant rating, especially in New York, and instantly recognizable by the Michelin Man, has just doing that. Please welcome with me Damon McIntyre from Michelin to talk to us about the challenges and transforming collaboration and productivity. (audience applauding) (electronic dance music) Thank you, David. >> Thank you, thank you very much. >> We on? >> So, how do you feel here? >> Well good, I want to thank you first of all for your partnership and the devices you create that helped us design, manufacture, and distribute the best tire in the world, okay? I just had to say it and put out there, alright. And I was wondering, were those Michelin tires on that Aston Martin? >> I'm pretty sure there is no other tire that would fit to that. >> Yeah, no, thank you, thank you again, and thank you for the introduction. >> So, when we talk about the transformation happening really in the workplace, the most tangible transformation that you actually see is the drastic change that companies are doing physically. They're breaking down walls. They're removing cubes, and they're moving to flexible layouts, new desks, new huddle rooms, open spaces, but the underlying technology for that is clearly not so visible very often. So, tell us about Michelin's strategy, and the technology you are deploying to really enable this corporation. >> So we, so let me give a little bit a history about the company to understand the daunting tasks that we had before us. So we have over 114,000 people in the company under 170 nationalities, okay? If you go to the corporate office in France, it's Clermont. It's about 3,000 executives and directors, and what have you in the marketing, sales, all the way up to the chain of the global CIO, right? Inside of the Americas, we merged in Americas about three years ago. Now we have the Americas zone. There's about 28,000 employees across the Americas, so it's really, it's really hard in a lot of cases. You start looking at the different areas that you lose time, and you lose you know, your productivity and what have you, so there, it's when we looked at different aspects of how we were going to manage the meeting rooms, right? because we have opened up our areas of workspace, our CIO, CEOs in our zones will no longer have an office. They'll sit out in front of everybody else and mingle with the crowd. So, how do you take those spaces that were originally used by an individual but now turn them into like meeting rooms? So, we went through a large process, and looked at the Hub 500, and that really met our needs, because at the end of the day what we noticed was, it was it was just it just worked, okay? We've just added it to the catalog, so we're going to be deploying it very soon, and I just want to again point that I know everybody struggles with this, and if you look at all the minutes that you lose in starting up a meeting, and we know you know what I'm talking about when I say this, it equates to many many many dollars, okay? And so at the end the day, this product helps us to be more efficient in starting up the meeting, and more productive during the meeting. >> Okay, it's very good to hear. Another major trend we are seeing in IT departments is taking a more hands-off approach to hardware. We're seeing new technologies enable IT to create a more efficient model, how IT gets hardware in the hands of end-users, and how they are ultimately supporting themselves. So what's your strategy around the lifecycle management of the devices? >> So yeah you mentioned, again, we'll go back to the 114,000 employees in the company, right? You imagine looking at all the devices we use. I'm not going to get into the number of devices we have, but we have a set number that we use, and we have to go through a process of deploying these devices, which we right now service our own image. We build our images, we service them through our help desk and all that process, and we go through it. If you imagine deploying 25,000 PCs in a year, okay? The time and the daunting task that's behind all that, you can probably add up to 20 or 30 people just full-time doing that, okay? So, with partnering with Lenovo and their excellent technology, their technical teams, and putting together the whole process of how we do imaging, it now lifts that burden off of our folks, and it shifts it into a more automated process through the cloud, okay? And, it's with the Autopilot on the end of the project, we'll have Autopilot fully engaged, but what I really appreciate is how Lenovo really, really kind of got with us, and partnered with us for the whole process. I mean it wasn't just a partner between Michelin and Lenovo. Microsoft was also partnered during that whole process, and it really was a good project that we put together, and we hope to have something in a full production mode next year for sure. >> So, David thank you very, very much to be here with us on stage. What I really want to say, customers like you, who are always challenging us on every single aspect of our capabilities really do make the big difference for us to get better every single day and we really appreciate the partnership. >> Yeah, and I would like to say this is that I am, I'm doing what he's exactly said he just said. I am challenging Lenovo to show us how we can innovate in our work space with your devices, right? That's a challenge, and it's going to be starting up next year for sure. We've done some in the past, but I'm really going to challenge you, and my whole aspect about how to do that is bring you into our workspace. Show you how we make how we go through the process of making tires and all that process, and how we distribute those tires, so you can brainstorm, come back to the table and say, here's a device that can do exactly what you're doing right now, better, more efficient, and save money, so thank you. >> Thank you very much, David. (audience applauding) Well it's sometimes really refreshing to get a very challenging customers feedback. And you know, we will continue to grow this business together, and I'm very confident that your challenge will ultimately help to make our products even more seamless together. So, as we now covered productivity and how we are really improving our devices itself, and the transformation around the workplace, there is one pillar left I want to talk about, and that's really, how do we make businesses smarter than ever? What that really means is, that we are on a journey on trying to understand our customer's business, deeper than ever, understanding our customer's processes even better than ever, and trying to understand how we can help our customers to become more competitive by injecting state-of-the-art technology in this intelligent transformation process, into core processes. But this cannot be done without talking about a fundamental and that is the journey towards 5G. I really believe that 5G is changing everything the way we are operating devices today, because they will be connected in a way like it has never done before. YY talked about you know, 20 times 10 times the amount of performance. There are other studies that talk about even 200 times the performance, how you can use these devices. What it will lead to ultimately is that we will build devices that will be always connected to the cloud. And, we are preparing for this, and Kirk already talked about, and how many operators in the world we already present with our Moto phones, with how many Telcos we are working already on the backend, and we are working on the device side on integrating 5G basically into every single one of our product in the future. One of the areas that will benefit hugely from always connected is the world of virtual reality and augmented reality. And I'm going to pick here one example, and that is that we have created a commercial VR solution for classrooms and education, and basically using consumer type of product like our Mirage Solo with Daydream and put a solution around this one that enables teachers and schools to use these products in the classroom experience. So, students now can have immersive learning. They can studying sciences. They can look at environmental issues. They can exploring their careers, or they can even taking a tour in the next college they're going to go after this one. And no matter what grade level, this is how people will continue to learn in the future. It's quite a departure from the old world of textbooks. In our area that we are looking is IoT, And as YY already elaborated, we are clearly learning from our own processes around how we improve our supply chain and manufacturing and how we improve also retail experience and warehousing, and we are working with some of the largest companies in the world on pilots, on deploying IoT solutions to make their businesses, their processes, and their businesses, you know, more competitive, and some of them you can see in the demo environment. Lenovo itself already is managing 55 million devices in an IoT fashion connecting to our own cloud, and constantly improving the experience by learning from the behavior of these devices in an IoT way, and we are collecting significant amount of data to really improve the performance of these systems and our future generations of products on a ongoing base. We have a very strong partnership with a company called ADLINK from Taiwan that is one of the leading manufacturers of manufacturing PC and hardened devices to create solutions on the IoT platform. The next area that we are very actively investing in is commercial augmented reality. I believe augmented reality has by far more opportunity in commercial than virtual reality, because it has the potential to ultimately improve every single business process of commercial customers. Imagine in the future how complex surgeries can be simplified by basically having real-time augmented reality information about the surgery, by having people connecting into a virtual surgery, and supporting the surgery around the world. Visit a furniture store in the future and see how this furniture looks in your home instantly. Doing some maintenance on some devices yourself by just calling the company and getting an online manual into an augmented reality device. Lenovo is exploring all kinds of possibilities, and you will see a solution very soon from Lenovo. Early when we talked about smart office, I talked about the importance of creating a software platform that really run all these use cases for a smart office. We are creating a similar platform for augmented reality where companies can develop and run all their argumented reality use cases. So you will see that early in 2019 we will announce an augmented reality device, as well as an augmented reality platform. So, I know you're very interested on what exactly we are rolling out, so we will have a first prototype view available there. It's still a codename project on the horizon, and we will announce it ultimately in 2019, but I think it's good for you to take a look what we are doing here. So, I just wanted to give you a peek on what we are working beyond smart office and the device productivity in terms of really how we make businesses smarter. It's really about increasing productivity, providing you the most secure solutions, increase workplace collaboration, increase IT efficiency, using new computing devices and software and services to make business smarter in the future. There's no other company that will enable to offer what we do in commercial. No company has the breadth of commercial devices, software solutions, and the same data center capabilities, and no other company can do more for your intelligent transformation than Lenovo. Thank you very much. (audience applauding) >> Thanks mate, give me that. I need that. Alright, ladies and gentlemen, we are done. So firstly, I've got a couple of little housekeeping pieces at the end of this and then we can go straight into going and experiencing some of the technology we've got on the left-hand side of the room here. So, I want to thank Christian obviously. Christian, awesome as always, some great announcements there. I love the P1. I actually like the Aston Martin a little bit better, but I'll take either if you want to give me one for free. I'll take it. We heard from YY obviously about the industry and how the the fourth Industrial Revolution is impacting us all from a digital transformation perspective, and obviously Kirk on DCG, the great NetApp announcement, which is going to be really exciting, actually that Twitter and some of the social media panels are absolutely going crazy, so it's good to see that the industry is really taking some impact. Some of the publications are really great, so thank you for the media who are obviously in the room publishing right no. But now, I really want to say it's all of your turn. So, all of you up the back there who are having coffee, it's your turn now. I want everyone who's sitting down here after this event move into there, and really take advantage of the 15 breakouts that we've got set there. There are four breakout sessions from a time perspective. I want to try and get you all out there at least to use up three of them and use your fourth one to get out and actually experience some of the technology. So, you've got four breakout sessions. A lot of the breakout sessions are actually done twice. If you have not downloaded the app, please download the app so you can actually see what time things are going on and make sure you're registering correctly. There's a lot of great experience of stuff out there for you to go do. I've got one quick video to show you on some of the technology we've got and then we're about to close. Alright, here we are acting crazy. Now, you can see obviously, artificial intelligence machine learning in the browser. God, I hate that dance, I'm not a Millenial at all. It's effectively going to be implemented by healthcare. I want you to come around and test that out. Look at these two guys. This looks like a Lenovo management meeting to be honest with you. These two guys are actually concentrating, using their brain power to race each others in cars. You got to come past and give that a try. Give that a try obviously. Fantastic event here, lots of technology for you to experience, and great partners that have been involved as well. And so, from a Lenovo perspective, we've had some great alliance partners contribute, including obviously our number one partner, Intel, who's been a really big loyal contributor to us, and been a real part of our success here at Transform. Excellent, so please, you've just seen a little bit of tech out there that you can go and play with. I really want you, I mean go put on those black things, like Scott Hawkins our chief marketing officer from Lenovo's DCG business was doing and racing around this little car with his concentration not using his hands. He said it's really good actually, but as soon as someone comes up to speak to him, his car stops, so you got to try and do better. You got to try and prove if you can multitask or not. Get up there and concentrate and talk at the same time. 62 different breakouts up there. I'm not going to go into too much detai, but you can see we've got a very, very unusual numbering system, 18 to 18.8. I think over here we've got a 4849. There's a 4114. And then up here we've got a 46.1 and a 46.2. So, you need the decoder ring to be able to understand it. Get over there have a lot of fun. Remember the boat leaves today at 4:00 o'clock, right behind us at the pier right behind us here. There's 400 of us registered. Go onto the app and let us know if there's more people coming. It's going to be a great event out there on the Hudson River. Ladies and gentlemen that is the end of your keynote. I want to thank you all for being patient and thank all of our speakers today. Have a great have a great day, thank you very much. 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>> Announcer: Live from Las Vegas. It's theCUBE. Covering Fortinet Accelerate 18. Brought to you by Fortinet. (upbeat music) >> Welcome back to theCUBE. Our continuing coverage of Fortinet Accelerate 2018. We're excited to be here. I'm Lisa Martin with Peter Burris, and we're excited to talk to one of the Keynotes the big cheese from the main stage session this morning, John Maddison. >> I say, small cheese I would say. >> SVP of Products and Solutions at Fortinet. Welcome back to theCUBE. >> It's great to be here again. >> So two things I learned about you when you started off your Keynote. One you're a Man City Fan, Manchester City. >> Manchester City Blue. >> Okay. >> Through and through, for many years. >> Premier League all the way. And you have the best job at Fortinet. >> I do indeed. >> Wow. >> That is to announce the new products of course. >> So let's talk about that. So you talked about some exciting announcements today. Tell us about, start with a Security Fabric. What's new there, what's going on, what's exciting? >> Well the core of the Security Fabric is FortiOS 6.0, that's our network operating system. That's the core of he Fabric and when we do a big release like this, many different features, new functionalities. Also we have tighter integration now between all our products in the Fabric. Bus, as I said, new features as well. Things like SD-WAN has been improved, we now have probably estimate of breed SD-WAN security. The Fabric integration itself is going on. We built out some new connectors with cloud. Now we have connectors for all the public clouds. All the public clouds. We have a new CASB connector, acronym city, of course, as usual, CASB is cloud access security broker, API access the SaaS clouds. And so we've got that not only in it's standalone form but also very much integrated inside the Fabric. We've also introducing some new FortiGuard service as part of FortiOS 6.0, a new security rating which is based on a bunch of new practices or best practices that all our customers have said this is great best practices, can you put this together and apply these to our network overall. That's just skimming the surface as I say, I think I said there's 200 plus new services I could have stood up there for like six hours or whatever. But great new services are 6.0 big announcement for us. >> We just chatted with your America's Channel Chief Jon Bove, talk to us about. >> Who's an Arsenal fan by the way. >> What. >> And we beat him Sunday three nil in the Cup final. >> Excellent. >> Just to make sure you get this. >> I'm sure. >> Write that down. >> Jot that down. >> So what excitement are you hearing in, from your perspective, in the channel with respect to all of the new announcements that you made today? >> Great feedback, so this obviously is a big channel partner event here. You know what a lot of channel partners are saying is that I need to make sure I provide more of a solution to the customers. In the past, you know maybe they sell a point product, it's hard to kind of keep that relationship going with that customer. But if they sell a solution with one or two products that's part of that solution or managed and some services as part of that, it's much stickier for the partners and gives them a bit more of an architectural approach to their customers network. They really like the Fabric as I said. The Fabric doesn't have to be everything inside the Fabric, they can be components. It's what we've seen far from a Fabric components. Our partners really latched on to the network plus the advanced threat protection, plus the management or plus the access points. But they definitely prefer to sell a complete solution. It's hard for them to manage 40 different security vendors, the skill sets, the training and everything else. Now they're not saying there needs to be one security vendor, much as we would like it to be Fortinet, but they need to be reduced to maybe a set of 10 or 12 and really, our Fabric allows them to do that. >> That's a key differentiator. >> Absolutely key differentiator and as I said, you know it's very hard to build a Fabric. It's a mesh network, all these products talk to each other. You can only really do that if you build those products organically, step-by-step, alongside the network operating system. It's no good acquiring lots of bits and pieces and trying to bolt it together, it's not going to work. We spent a long time, 10 years, building out this Fabric organically to make sure it integrates but also putting the best of breed features and things like SD-WAN and CASB. >> What is the product? In this digital world what is a product? >> A security product? >> Any kind of product. As a guy who runs product management, what's a product, can we talk about what is a security product? >> I think in the past you know product management used to be very focused on I've got a box that comes out, or I've got a piece of software that comes out, these days it could be virtual machine or cloud, but it's doing a single instance, there's a single thing that it's doing inside, inside the network from a security perspective. What we believe in is that multifunction, now consolidation, multiple threat vectors I refer to this that like the digital attack surface. The digital transformation, security transformation. The biggest issue though, is that digital attack surface. That's just expanded enormously, it's very dynamic. Things are coming on on off the network was spinning up virtual machines and applications here and there. A point product these days just can't cope, can't cope. You need solutions against specific threat vectors that are applied in a dynamic way using the Fabric. >> But arguably it's even beyond solutions. You need to be able to demonstrate to the customer that there is an outcome that's consistent and that you will help achieve that outcome, You'll take some responsibility for it. In many respects, we move from a product to a solution, to an outcome orientation. Does that resonate with you and if so, how does that influence the way you think and the way that you're guiding Fortinet and partners? >> Yes, definitely. You know one of the first things they're very worried about is you know can they see that digital attack surface. It's very large now and it's moving around. Their outcome, first outcomes to say, do I know my risk on my attack surface? That's the very first out. Is it visible, can I see it, or can I protect it or can I apply the right threat protection against that. That outcome to them is they can see everything, protect everything, but as I said also, now they're moving into this more detection environment. Where you've got machine learning, artificial intelligence because you need to apply that. The bad guys these days are very smart in that they know they can morph things very quickly and provide you know targeted attacks, zero-day attacks, we probably haven't seen it before. I hate this analogy where we say somebody else got to get infected before everyone else gets protected. It shouldn't be that way. With, you know, with technologies like artificial intelligence, machine learning, we should be able to protect everybody from day one. >> Kind of pivoting on, you brought up the word outcome, and I want to go off that for a second. When you're talking with customers and you mentioned, I think, before we went live that you visited, talked to over 300 customers last year. Who is at the table, at a customer, in terms of determining the outcome we need to have? Are we talking about the CSO's team, what about folks in other organizations, operational technology departments. Who are you now seeing is in this conversation of determining this outcome. >> A new job role which I think been coming for a while, it's the security architect. Two years ago, I'll go into a room and there would be the networking team on one side of the table, this InfoSec team security side, on this side of the table, the CIO over here and the CSO over here and they be debating. I would be almost invisible in the room. They'll be debating what's going to happen because you know the CIO wants to build out more agile business applications, wants to move faster. The security team has got to answer to the Board these days, and they got to make sure everything's secure. What's their risk factor? And what I see is a new job function called the security architect, that kind of straddles a bit the networking team, understands what they're building out from an SDN, architecture, cloud perspective, but also understands the risks when you open up the network. The security architect provides more holistic, long-term architecture view for the customer, versus, I've got to fix this problem right now I've got a hold of a bucket, I've got to fix it, then we move on to the next. They're building a system on architecture long term. We have something called a Network Security Expert, it's our training education capability. We have an NSC eight, we have around 100 thousand people certified in the last two years on NSC between one and eight. And about 100 people on eight, because eight's a very high level architect level across all the security technologies. But we definitely see a lot of partners who want to get their people trained to NCE level eight because they would like to provide that security architect that's in the customer now, that advice on what should be that holistic security architecture. The big change to me is that the networking team and the security team have realized they can't just keep fixing things day to day, they need a more holistic long-term architecture. >> Let's talk about that holistic approach. At Wikibon we talk a lot about SiliconANGLE Wikibon, we talk a lot about how the difference between business and digital business is the role that data assets play in the digital business. I think it's a relatively interesting, powerful concept, but there's not a lot of expertise out there about thinking how is a data asset formed. I think security has a major role to play in defining how a data assets structured because security in many respects is the process of privatizing data so that it can be appropriated only as you want it to. What does the security architect do? Because I could take what you just said and say the security architect is in part responsible for defining and sustaining the data asset portfolio. >> Yes and you know, if you go back a few years, there's data leakage prevention was a big area, big marketplace, DLP is the best thing. Their biggest problem that they did was they couldn't tag the assets. They didn't know what assets were so then when it came to providing data protection they go well, what is it, I don't know where it's from, I don't know what it is. And so that a whole marketplace kind of just went away. We're still there a bit, but everyone's really struggling with it still. The 6.0 introduced something called tagging technology. It's inherent already inside routing systems and switching systems, SDN systems. The tagging technology allows you to look at data or devices or interfaces or firewalls from a higher level and say this is the business relationship between that device, that data and what my business objectives are. We talked about intent based network security and the ability long term is to say, hey, if I've got a user and I want to add that user to this network at security level six to that application, I say that, then it gets translated into bits and bytes and network comport and then gets translated end-to-end across the network. The tagging technology from my mind is the first step in a to be able to kind of tag interfaces and data and everything else. Once you've got that tagging done then you can apply policies as a much higher level which are data centric and business aware centric. >> I'm going to ask you a question related to that. Historically, networks in the IT world were device was the primary citizen right. Then when we went to the web the page became a primary citizen. Are we now talking about a world in which data becomes the primary citizen we're really talking about networks of data? >> I think to some extent. If you look at the users today, they have like maybe three or four devices. Because students, universities, there's something on with those lectures, they've got an iPad, their iPhone, three devices attaching there. I think the definition of one user and one device has gone away and it's multiple devices these days. And you know a lot of devices attaching that no one has any clue about. I don't think it's going to be completely data centric because I still think it's very very hard to tag and classify that data completely accurately as it's moving around. I think tends to be a part of it, I think devices going to be part of it, I think the network itself, the applications, are all going to be part of this visibility. In our 6.0 we provide this topology map where you can see devices users. You can see applications spin up, you can see the relationship between those things and the policies, the visibility is going to be extremely important going forward and then the tagging goes along with that and then you can apply the policy. >> With respect to visibility, I wanted to chat about that a little bit in the context of customers. One of the things that Ken talked about in his keynote was. >> Ken? >> Ken. >> Ken Xie. >> Yes. (laughing) >> Ken who? >> That guy? The guy that steals slides from you in keynotes. >> He did as usual. >> I know, I saw that. >> Tells me like two minutes before tells me John, I need that slide. (Peter laughing) >> That's why you have the best job. Everybody wants to copy you. In terms of what what the CEO said, that guy, that Fortinet protects 90% of the global S&P 100. There were logos of Apple, Coca-cola, Oracle, for example. In terms of visibility, as we look at either, a giant enterprise like that or maybe a smaller enterprise where they are, you mentioned this digital tax surface is expanding because they are enabling this digital business transformation, they've got cloud, multi-cloud, mobile, IoT, and they also have 20, north of 20, different security products in their environments. How did they get visibility across these disparate solutions that don't play together. How does Fortinet help them achieve that visibility, so they can continue to scale at the speed they need to? >> Well I think they use systems like SIM systems we have a Forti SIM as well where you can use standard base sys logs and SNMP to get information up there so they can see it that way. They're using orchestration systems to see parts of it, but I think long term, I think I speak to most customers they say, although there's specific, new vendors maybe for specific detection capabilities, they really want to reduce the number of vendors inside their network. You say 20, I sometimes I hear 30 and 40. It's a big investment for them. But they also realize they can't maintain it long term. Our recommendation to customers is to, if you've got some Fortinet footprint in there, look at what's the most obvious to build out from a Fortinet perspective. Sometimes we're in the data centers or sometimes we expand into the WAN and sometimes we expand into the cloud. Sometimes we'll add some advanced threat protection. We're not saying replace everything obviously with Fortinet, we're saying build what's most obvious to you and then make sure that you've got some vendors in that which are part of our Fabric alliance. We have 42 vendors now, security vendors, from end point to cloud to management that can connect in through those different APIs. And when we click them through those APIs they don't get you know the full Fabric functionality in terms of telemetry and visibility but they apply a specific functionality. A good example would be an endpoint vendor connecting through our sandbox not quite sure about files, entered our sandbox we'll give them a recommendation back. As soon as we know about that, all the Fabric knows about it instantly across the whole network because time is of the essence these days. When something gets hacked, it's inside a network. It's less than 60 seconds for something for the whole network. That's why segmentation, interim segmentation, is still a very important project for our customers to stop this lateral movement of infections once they get inside the network. >> But, very quickly, it does sound as though that notion of the security architect, this increasing complexity inside the network and I asked the question about whether data is going to be the primary decision, you get a very reasonable answer to that. But it sounds like increasingly, a security expert is going to have to ask the question how does this data integrate? How am I securing this data? And that, in many respects, becomes a central feature of how you think about security architecture and security interactions. >> Yeah but I think people used to build a network and bolt on security as an afterthought. I think what they're saying now is we need for the networking people and security people to work together to build a holistic security architecture totally integrated day one, not some afterthought that goes on there. That's why we know, we've been building the Fabric all these years to make sure it's a totally integrated Fabric end-to-end segmentation architecture where you can also then connect in different parts of the network. It has to be built day one that way. >> Last question, is sort of, I think we asked your CSO this, the balance between enabling a business to transform digitally at speed and scale. I think it was one of you this morning, that said that this is going to be the year of security transformation. Could've been that guy, that other guy, that you know, steals your slides. But how do how does a company when you're talking with customers, how do they get that balance, between we are on this digital transformation journey. We've got a ton of security products. How do they balance that? It's not chicken and egg to be able to continue transforming to grow profit, you know be profitable, with underpinning this digital business with a very secure infrastructure. >> As I said, I think most of them got that now. They kind of go, they've got this five-year plan versus a one-year plan or a six-month plan on the security side. It's integrated into the network architecture plan long term and that's the way they're building it out and that's the way they've got a plan to get, you know, you look at financial organizations who want to provide internet access or branch offices. They've got a plan to roll it out, that's safe going forward, or they want to add broadband access to their internet, like 5G or broadband interconnection, they've got a plan for it. I think people are much more aware now that when I build something out whether it be on the data side on the network side, it has to be secure from day one. It can't be something I'll do afterwards. I think that's the biggest change I've seen in my customer interactions is that they absolutely, essential is absolutely essential that they build out a secure network from day one, not an afterthought going forward. >> Well, we'll end it there, secure network from day one. John, thanks so much for stopping by theCUBE, congratulations on the announcements and we hope you have a great show. >> Great thanks. >> Thank you for watching, we are theCUBE, live from Fortinet Accelerate 2018. I'm Lisa Martin with my co-host Peter Burris. Stick around, we'll be right back.

(lively techno music) >> Announcer: From Gillette Stadium in Foxborough, Massachusetts, it's theCUBE. Covering VTUG Winter Warmer 2018, presented by SiliconANGLE. >> Hi, I'm Stu Miniman, and this is theCUBE's coverage of the VTUG Winter Warmer here in 2018. Happy to welcome to the program, first time guest and first time company on the program, Dilip Advani, who's the vice president of marketing at Uila. Great to see you. >> Thank you Stu. Great to be here. >> All right, so Dilip, first, tell us a little bit about your background and what brought you to Uila. >> Yeah. So again, my background has been on the analysis side and the protocol analysis side. I have been, in the past, focused on the wireless aspects of the business. I have led teams on product strategies and product marketing in my past history. What I have done is, the reason I came to Uila, is because of the rich history, from the founders who have great experience on the deep packet inspection and the protocol analysis side. And they decided to bring this to the virtualization world and that's what got me very interested in Uila. >> Okay. So Uila itself, we've worked with a number of the team. Fluke Networks? Was that where... >> This was, yeah this was from the original AirMagnet Fluke Networks team as well. So this is the team that actually built the world's first analyzer product, which was Net XRay from Cinco Networks. >> Okay, great, tell us the why of Uila, why today, what's different, what's the big problem it's helping us solve. >> Yeah, so before I talk about what Uila does, and then, what role it plays in the industry, I wanted to address one question that people frequently ask us, "What does Uila actually mean?" The joke around the office is that, because the founders like to go to Hawaii, a lot, >> Stu: (laughs) >> That's why they came up with the Hawaiian name. It actually means "lightning in the cloud" in Hawaiian. But there's a deeper meaning to that. We, actually, we are the power and the guiding light behind some of the challenges that people have with their cloud environment. So what Uila, If you step back and talk about what Uila as a company does, we are a young and dynamic company based out of the Silicon Valley, and what we do is, we do application-centric infrastructure monitoring. We pinpoint the bottlenecks that may exist on your infrastructure, and we also help users on the hybrid cloud workload migration strategy. >> Yeah, I hear "application-centric," and there's been hardware companies that sometimes use that term, and it really more infrastructure-centric, that applications sit on. So, maybe tell us a little bit about where you sit and what you look at and how much is kind of tied to the application versus the infrastructure. >> Absolutely, right. At the end of the day, everything goes back to the application, all the business service. And obviously, the business service is running on the infrastructure. So we target the IT operations team. We want to make sure that they don't end up being the fall guy, or the team to be blamed for anything and everything that goes wrong with the network. Sometimes it is the infrastructure, but at times it could be the application itself, as well. So, that is where Uila plays a role, to help in that full stack monitoring, to avoid the finger-pointing discussion that takes place between the operations team as well as the application teams, or any other teams within the organization. >> I think that's a great point. It's interesting, when the dev ops wave, some people throw out that term "no ops," it's like, operations is real important. I interviewed Solomon Hykes from Docker, and he said, "The reason we did container wasn't to get away from the operator, it was actually to create tools to help the operator, and it enables the developer and the application side, but ops is still pretty critical." >> Absolutely, absolutely. That's where, I think, everything ends. So that's been our focus, to make sure that we provide a solution for that particular team, so that they can help solve any challenges that you may have in your data center. >> Okay, need to understand where this lives, because, today, customers, especially at an event like this, there's virtualization and there's cloud, and there's a huge spectrum of what cloud means to customer. Some of them, cloud is, I'm a small company, maybe it is mostly public cloud. Everybody's doing SaaS. Most companies have some in their on-premises, whatever you want to call that, and heck, there's even the edge stuff, is becoming majorly important, but it's the, everything, whether you call it multi-cloud or hybrid cloud, how do you put that all together? There's lots of challenges there, where do you fit in this overall puzzle? >> Absolutely. In terms of the private cloud, like I mentioned, our main goal is to help you solve the performance bottleneck, whether it's on the application side or the infrastructure side, and help you solve that problem. But what trends we are seeing, is, a majority of the customers, just like the industry in general, is looking towards the hybrid cloud, or multi-cloud, or whatever you want to call that. We are seeing a lot of customers move towards that strategy, but again, they are struggling with defining that strategy. They're struggling with how you get going on this particular path of taking their applications or their business services, which, traditionally I've stated in the private data center and moving it to the public cloud as such. So that's where we've seen organizations struggle with understanding what their current scenario looks like, what their current applications look like, how they're dependent on each other. Again, documentation, obviously, as you know, is that last thing on IT people's minds. Or, if they have a document ready, it's outdated as soon as it's created. So that's where we've seen a lot of organizations struggle, with getting that visibility into what exists within their environment, as they plan about taking their applications to the hybrid cloud. >> Okay, so Dilip, I just want to make sure I understand. Things like performance management, do you look at both sides of a hybrid, both the public and the private, or is it primarily in the private? >> We look at both sides, on the private side as well as the public side. And on the private side, like I mentioned, not only do we help on the performance monitoring there, but we also help you define your migration strategy. >> Okay, when I think about all those things you were talking about, I'm surprised I haven't heard some mention of machine learning, artificial intelligence, 'cause things are growing, things are changing so fast, there's no way the administrator can do it themselves, what's the secret sauce, where's the software, where do you fit in, or do you just stay away from those buzzwords? >> No, no, no, again, I think everybody likes to use those buzzwords. >> Stu: (Laughs) >> We do the same as well. I think, when you think about artificial intelligence, or machine learning, at the end of the day, it goes back to the predictive analysis capabilities that organizations must have for their data centers, because at the end of the day, it's about being proactive, not just being reactive, to issues that could be occurring on your network. So, mining the data that's being collected on your current environment and using that, by artificial intelligence, or machine learning, to figure out what are the resources that will be needed as they expand their own capacities within their own environment and such. Or, being able to predict that they need to assign certain resources, or they're going to run into a certain issue, if they don't assign certain resources, or they don't do something, which could impact their business performance. >> Okay, Dilip, want to just step back for a second, give us a snapshot of the company. How many people, what can you share about funding, the state of the product, is it, actually GA? >> Yeah, absolutely. Like I mentioned, we are a young and dynamic company located in Silicon Valley. We are founded three or four years ago, we have a product that's shipping, we have lots of customers. In terms of funding, we have gone through Series A round of funding and such. And we have customers across different verticals. Whether it's healthcare, whether it's retail, and whether it's MSB type of customers as well. >> And you're 100 percent a software company, how do people engage? Is there like a free trial demo type thing, or how do people get started? >> Yeah. Again, we're a pure software company, so if you look at how Uila gets installed, we get installed as a guest VM, on top of the hypervisor. So this could be a Hyper-V environment, or it could be a VMware type of an environment. And then what we do is we do deep packet inspection to get the application and the network information. >> You mentioned VMware and Hyper-V, public clouds, which ones? >> Public clouds, AWS, Google cloud, so we are more agnostic on that side. >> Stu: Great. >> So we do deep packet inspection, to get those details, on the application and network side, and then we also talk to vCenter, to get all of the compute and storage statistics. So again, a pure software solution, we do have trials available, we have a 30-day trial available for our software, so in case anybody is interested, they can obviously go to our website, at Uila.com, and then request a trial. We work with the customer to install it, we train the person who's doing the trial, and then, after the trial, we even do data reviews, and show you what issues that may be existing in your network. So like a true performance assessment of your data center. >> Okay, and who's the typical administrator of this? Is this same person using vCenter admin, or doing their public cloud management? And I'm curious what dynamics you're seeing in the company, when they've got both sides of that, and how that plays? >> Yeah. So typically, we're seeing virtualization engineers, or IT architects, who are using the Uila solution. And the trend we are seeing between the private and the public cloud is that many of the people who had the responsibility on the private side, it's the same group of people who are still responsible for managing the environment on the public cloud side. So it's not only important to make sure the availability of the infrastructure continues, as you go from your private to your public cloud, but also the application and user experience continues, so that's why having the same group of people managing and monitoring is the trend that we are seeing with our customers. >> Okay. Dilip, want to give you the final word. What brings Uila to an event like this? >> Again, this is the first time we've come to VTUG, we have been doing many other community events, in other locations. Uila believes in working with the community, so that's why we've been engaged with the vExperts, as well as the community in general. And we think this is one of the premier events where the right people in the community, in terms of the technical professionals, hang out. So that's why we decided to come to the VTUG event. And I'm pretty sure I will be back for the Summer Slam as well. >> Well, Dilip Advani, really appreciate the updates, and telling our audience a little bit about Uila, it's lightning in the cloud. For some reason we haven't had the CUBE yet in Hawaii, maybe we need to re-change >> Instead of water, we'll have mai tais there. (laughing) >> Absolutely. Lots more coverage here, at the VTUG Winter Warmer 2018, I'm Stu Miniman, you're watching theCUBE. (energetic techno music)

>> Announcer: Live from Las Vegas, it's the Cube! Covering NAB 2017, brought to you by HGST. >> Hey welcome back everybody Jeff Rick here with The Cube, We are getting towards the end of day three at NAB 2017, and we've talked to a ton of people from security, and storage, and applications, and now we get to talk to a creator. And really excited to have Victoria Nece on, she's a project manager for adobe After Effects, welcome. >> Thank you it's great to be here. >> Absolutely, been getting a little background on you, you were just really an animator and Adobe was smart enough to say "Hey this girl's got her shit together, we should bring her inside and have her help with the team at a bigger level." Instead of all the little things you were doing. >> Yeah so I was a motion designer mostly for documentary for a long time. And I got really into writing my own scrips and extensions and I used to say I like to make After Effects do stuff it wasn't supposed to do, and now it's my job to help make it do those things. >> Okay so what are some of the new things you said that you know, luckily we're past the official release date, you can actually talk about things >> Yes. >> So what are some of the new things? >> Uh, so we have a great new release, just came out last week, last Wednesday we're super proud of it, it's available to anyone who has creative cloud subscription. And a big thing, and this is across After Effects and Premier, is a new thing called the essential graphics panel. It allows you to make really elaborate- anything you want to do in After Effects you can go fully advanced motion graphics, and then choose the properties in editor you want to be able to change. So I can say, I'm designing something but it's on brand, I don't want you to change the color, but you can change the text, you can reposition something on the screen, we can change the background color, do all of those kind of things, and I can add those controls in After Effects and when I save those as a motion graphics template, it gets packed up and someone can use it in Premier and change those things live in the timeline with no rendering, so. >> It's really interesting just the whole collaboration, you know, kind of aspect. It used to be so much, you know, an individual sitting down on their hopefully very big machine with a lot of memory and compute, you know, working on Adobe. But now, it's really more of a collaborative effort. There's not a lot of people just working independantly all by themselves on the machine. >> True. >> Especially with Cloud and some of these really higher performance applications. >> Yeah it's actually been really interesting to watch what's happened. We have a beta service called Team Projects and I've been doing press demos where I'm in Seattle and one of my colleagues is in Germany and we're collaborating live on the same projects, I'm on After Effects, he's in Premier, I make a change, it shows up right in his timeline he doesn't even have to open After Effects, doesn't have to import anything, and it's all really seemless. And we've actually, we've all been collaborating the whole time but now you can do it without all those extra steps of rendering, and sending a file, and downloading the file, and importing it, and then adding it. Now that can all just happen in one click. >> It's like Google Docs versus Word. >> Yeah, right. >> Save and attach a file and send, hopefully you remember to save the file. >> Alright and the other thing you're really excited about is character animator. >> Yes. >> So what's going on there? >> So for people who don't know, character animator is a new application from the original creators of After Effects. It's a separate application that allows you to do real time live animation using your webcam and your microphone and also even use a touch screen, keyboard, mouse, basically hardware you already have, to power a character that starts off as a Photoshop or Illustrator file, and character animator brings it to life. We've seen some really amazing stuff people are doing with it. >> So real time live animation, so that seems like completely impossible, cause back in the day that's all we would hear about, is you know you have to render render render render render to get this animations stuff going. But now you're saying you've got it broken down so that we can do it live. >> There's this great line from The Simpsons that animation is rarely done live, it's a terrible strain on the animators wrists, and we're working to change that (laughs). It's a lot of fun and also you look at the screen and your character looks back at you, it's this really amazing experience working in it. And we've been working to make it easier to use, easier to get started, we've added workspaces so now it actually walks you through the process of getting characters set up and rigged and then a different space for performing. But it's, character animation's fun. >> And then now you're bolting that onto all these various live video distribution services. >> Mhm, we've added Mercury transmit support, which means you can go out to broadcast hardware, you can connect to absolute stream, to Facebook live, Youtube live, we're seeing things like Steven Colbert's The Late Show they use character animator to do cartoon Trump and he's improving live with a cartoon character and it's all happening in real time. >> (laughs) So as you look back and this is all fascinating and it's great, now you've got the power of the whole company to kind of make many of your visions come true. Where does it go next? It just seems like the creative opportunity, or the tools for the creator, are just exploding. >> I think there's a lot of cool stuff we can do, but for me one of the biggest things is anything we can do to save people time, and to save people doing the boring stuff, I want to give people more space to create. >> Right. >> So, don't have to think about verging, you don't have to think about all those outputs, but all the stuff about- get that out of the way, get the data entry out of the way so you can actually focus on the stuff you really want to be doing. >> And what about 360 and VR and all those crazy new technologies which are all over these halls. >> It's everywhere. Premier's got some really cool stuff this release, they've got Ambisonic audio so you can actually do VR, 360 footage and the sound comes from the right place in the shot as you turn your head. >> Ambisonic v- >> Ambisonic audio. >> Ambisonic audio. >> So there's some really cool stuff happening there. And then on the After Effects side we have some amazing partners who have been doing super cool stuff with VR, their tools are really evolving, and it's a really nice seemless workflow working with them. >> (laughs) So where does it go next? >> Oof. >> Anywhere, right? >> Anywhere really. >> No it's just amazing how again these tools that really put everything in the power of basically anybody's hands. It's kind of this whole democratization theme which we continue to hear over and over again. >> We've really focused a lot on trying to get just the tools you need right now to get you most of the way there, super simple, and then when you need to go deep, you can go deep. We're not limiting you to the simple tools, but everything's right in context, right in front of you, the stuff you change the most is right there. And then when you need to go in and tweak and get to the pro level it's another step down. And so we're trying to really build that kind of a workflow so that you have sound and graphics and color all right in edit and then you have the big pro apps for when you need to do the fancy stuff. >> The heavy lifting. And I wonder, Victoria, you talked about the community, cause Adobe's got a really active community, you guys have a huge show that brings everybody together, you obviously came out of that community into the mothership. How important is this, you know, kind of an active community around the creative process, tools you mentioned you even wrote your own scripts. >> Mhm it's, I love the After Effects community in particular they're my friends and a show like this, I see people I have really great friends that I only see once or twice a year at these kind of shows, but it's such a great strong global community that we stay in touch throughout the year, and our users really drive where we're going with things. A lot of the features in this release of After Effects, I could tell you by name who's been asking for them for years and who's super excited to see something in there. >> Okay, so if I see you again in 2018 can you give us a hint as to maybe what we'll see? Don't get in trouble. >> I might get in trouble. But we've got some really cool stuff under way. >> Alright, well we'll keep an eye, and you guys over on the table, you got to learn how to do this talking creative animator thing. I could think of some people that we might want to chin up not the real Donald Trump, but some other people. (laughs) >> Alright Victoria, well thanks for spending a few minutes with us and again, congrats on the new relase. >> Thank you, it's really great to be here. >> Alright Victoria Nece, I'm Jeff Rick you're watching the Cube from NAB 2017. Thanks for watching.