>> Live, from Las Vegas. It's theCUBE, covering Adobe Summit 2019. Brought to you by Adobe. >> Hey welcome back everyone, this is CUBE's live coverage at Adobe Summit here in Las Vegas. I'm John Furrier, host of theCUBE with Jeff Frick, co-host for the next two days' live coverage. Our next guest is Amber Hameed, vice-president of Information Systems at the Dollar Shave Club. Welcome to theCUBE, thanks for coming on. >> It's great to be here. >> So I love your title, we were talking about it before the camera came on. It's not, it's Information Systems. Why is that different, tell us, what about the title. >> I think, everything from a technology point of view, there's no such thing as a purest anymore. I think it's really important to understand every aspect of the business as a technologist, to really evolve with the technology itself. I think, from a role that I play at Dollar Shave Club, I have the fortune of actually working very closely with all aspects of our business, From marketing, to fintech, to data, to technology, which is what our IT function is, is essentially embedded and ingrained within the entire holistic approach to technology. So it's not isolated anymore. And when we look at technologists, we actually look at how they actually interface with all of the aspects of business processes first. That's how we actually understand what the needs of the business are, to then cater the innovation and the technology to it. >> So is there a VP of IT, Information Technology? 'Cause IT is kind of a word that people think of the data center or cloud or buying equipment. It's a different role right, I mean that's not you. >> It is, if you look at the Information Systems evolution, you will see that, more and more systems are geared towards business needs, and less and less towards pure-play technology. So back in the day, you had a CTO role in an organization, which was focused on infrastructure, networks, technology, as DevOps is considered to be. Information Systems is actually focused more on the business itself, how do we enable marketing, how do we enable finance, how do we enable digital technology as a platform. But not so much as how do we develop a technology platform, that's part and parcel of what the business solution proposes, that drives how the technology operates. >> So what's old is new is coming back, Jeff, remember MIS, Management Information Systems? >> You don't want to remember this John. (laughing) >> Data Processing Systems Department. But if you think about it, we're doing Management Information Systems and we're processing a lot of data, kind of just differently, it's all with cloud now, so it's kind of important. >> That's exactly right. So technology's one aspect of bringing information together. So data is one aspect of it, business processes is another aspect of it and your resources, the way your teams are structured, are part and parcel of the strategy of any technology platform. >> Right, well what you're involved in, the topic of this show, is really not using that to so much support the business, but to be the business. And to take it to another level, to actually not support the product, but support the experience of the customer with your brand that happens to be built around some products, some of which are used for Shaving. So it's a really different way and I would imagine, except for actually holding the products in their hands, 99% of the customer engagement with your Dollar Shave Club is electronic. >> Well I mean our customer experience is a very, very unique combination within Dollar Shave Club. And that makes it even more challenging as a technologist to be able to cater, and bring that experience to what we call our members. So when we talk about a 360-degree approach from a technology platform point of view, we're taking into account, the interaction with the customer from the time we identify them, who they are, who are segmented market is, to the time they actually interact with us in any capacity, whether that's looking at our content, whether it's coming to our site, whether it's looking at our app, and then actually how we service them once we acquire them. So there's a big focus, an arm of our customer strategy, that's focused on the customer experience itself, once they are acquired, once they become part of the club. And it's that small community experience, that we want to give them, that's integral to our brand. >> You guys have all the elements of what the CEO of Adobe said on stage, we move from an old software model we're too slow, now we're fast, new generation of users, reimagining the product experience. You guys did that, that was an innovation. How do you keep that innovation going because you're a direct-to-consumer, but you got a club and a member model, you've got to constantly be raising the bar on capabilities and value to your members. What's the secret sauce how do you guys do that? >> It's exactly right. So as I mentioned it's an evolving challenge, we have to keep our business very, very agile obviously, 'cause our time to market is essential. How quickly the consumers actually change their minds, you know, so we have to target them, we have to be effective in that targeting. And how quickly do we actually deliver personalized content to them, that they can relate to, is integral to it. When we look at our our technology stack, we consider ourselves to be, you know, a cut above the others because we want to be on the bleeding edge of technology stack no matter what we do. We have an event-driven architecture. We invested quite a bit in our data infrastructure. I happen to be overseeing our data systems platform, and when I started with the organization, that was our central focus. In fact, before we invested in Adobe as a stack, which is helping us tremendously and drive some of the 360-degree view of customer centralization, we actually built our entire data architecture first, in order to make the Adobe products a success. And it was that architecture and platform, that then enabled a very successful implementation of Adobe Audience Manager going forward. >> How do you do that, because this is one of the things, that keeps coming up on the themes of every event we cover, all the different conversations with experts, people are trying to crack the code on the data architecture. I've heard people say it's a moving train, it's really hard. It is hard, how did you guys pull it off? Did you take kind of a slow approach? Was it targeted, was there a methodology to it? Can you explain? >> Yeah, so essentially, you know, as you can imagine, being a consumer driven organization, we have data coming out from all aspects. From all of our applications what we call first party data. We also have what we call second party data, which is essentially with our external marketers, information that we are using. They're using our information to channel, and we're using all of that channeled information back in, to then use that and make other strategic decisions. It was really, really important for us, to set up an architecture that is the core foundation of any sort of a data organization that you want to set. The other big challenge is the resources, as you can imagine this is a very competitive environment for data resources, so how do you keep them interested, how do you bring them to your brand, to work on your data architecture, is to make sure that you're providing them, with them latest and greatest opportunities, to take advantage of. So we're actually a big data organization, we run heavily on an AWS stack. We have bleeding edge technology stacks, that actually resources are interested in getting their their hands into, and learning and building on their skill sets. So when you take that ingredient in, the biggest driver is once you have that architecture set up, how do you get your organization, to be as a data-driven organization? And that is when you start, to start the adoption process slowly. You start delivering the insights, you start bringing your business along and explaining what those insights look like. >> I'm just curious, what are some of the KPIs that you guys take a look at, that probably a traditional marketer that graduated from P&G, thirty years ago, you know, wasn't really thinking about, that are really fundamentally different than just simply sales, and revenue, and profitability, and some of those things. >> Well I mean, I don't think there's a magic bullet, but I think they're things, that are key drivers in our business, obviously, because we're a subscription model, we are an industry disruptor there, and we started out by really looking at what the value is, that we can bring to our customers. So when we put them on a subscription model, it was very important for us to look at, how much we're spending in the acquisition, of that customer so our CPA and what we call the Golden Rule, and then how are we delivering on those. And the key KPI there is the LTV the longevity, which is the lifetime value of a customer. So we're very proud to have a pretty substantiated customer base, these members they've been with us for over six years. And the way we keep them interested, is refreshing all of that information that we're providing to them, in a very personalized way. >> How much do you think in terms of the information that they consume to stay engaged with the company, is the actual, what percentage of the value, you know, is the actual razor blade, or the actual product and the use of that versus, all the kind of ancillary material, the content, the being part of a club, and there's other things. I would imagine it's a much higher percentage on the ladder, than most people think. >> Exactly right, so our members are, we get this feedback constantly. I mean once they get into, usually a large customer base, we have over three million subscribers of our mail magazine, which is independent content delivery, from our site. And when people come and read the magazine, they automatically, they don't know at first, that it's part of the Dollar Shave Club umbrella. But once they get interested and they find out that it is, they automatically are attracted to the site and they land on it, so that's one arm that essentially targets through original content. The other aspect of it is, once you are a member, every shipment that you receive, actually has an original content insert in it. So the idea is that when you're in the bathroom, you're enjoying your products, you're also enjoying something that refreshes, keeps your mind, just as healthy as your body. >> So original content's critical to your strategy? >> It is, yes. >> On engagement and then getting that data. So I got to ask you a question, this is really an earned media kind of conversation, in that it used the parlance of the industry. Earning that trust is hard, and I see people changing their strategies from the old way of thinking of communities, forum software, login be locked in to me being more open. Communities' a hard nut to crack these days. You got to earn it, you know, you can't buy community. How is the community equation changing? You guys are doing it really, well what's the formula, obviously content's one piece. How would you share, how someone should set up their community strategy? >> Well I think it's also a lot of personal interaction. You know, we have club pros, that are exclusively dedicated to our members, and meeting our member needs. And it's world-class customer service. And from a technology point of view we have to make sure that our club pros understand our customers holistically. They understand how they've previously interacted with us. They understand what they like. We also do member surveys and profile reviews, with our members on a regular basis. We do what we call social scraping, so we understand what they're talking about, when they're talking about in social media, about our brand. And all of that is part of the technology stack. So we gather all this information, synthesize it, and provide it to our club pros. So when a member calls in, that information needs to be available to them, to interact properly and adequately. >> So it's intimacy involved, I can get an alignment. >> Absolutely yeah, it's hard core customer service, like right information, at the right time, in the right hands of our club pros. >> So he's a trick question for you, share a best practice in the industry. >> I think the idea of best practices, is sort of kind of on its way out. I think it's what we call evolving practices. I think that the cornerstone of every team, every culture, every company, is how you're learning constantly from the experiences, that you're having with your customers. And you bring a notion and it quickly goes out the door, based on feedback that you've received from your customers, or an interaction you've had. So you have to constantly keep on evolving on what are true and tested best practices. >> And that begs a question then that, if there's best practices used to be a term, like boiler plate, standards, when you have personalization, that's at the micro targeted level, personalization, that's the best practice, but it's not a practice it's unique to everybody. >> That's true and I think it's sort of, kind of a standing ground, it's a foundation. It gives you somewhere to start, but I think it would be you'd be hard-pressed, to say that that, is going to be the continuation of your experience. I think it's going to change and evolve drastically, especially in a world that we live in, which is highly digitized. Customer experiences and their attention span is so limited, that you cannot give them stale best practices, you have to keep changing. >> So the other really key piece is the subscription piece. A, it's cool that it's a club right, it's not just a subscription you're part of the club, but subscriptions are such a powerful tool, to force you to continue to think about value, continue to deliver value, to continue to innovate, because you're taking money every month and there's an there's an option for them to opt out every month. I wonder, how hard is that, to kind of get into people's heads that have not worked in that way, you know, I've worked in a product, we ship a new product once a year, we send it out, you know, okay we're working on the next PRD and MRD. Versus, you guys are almost more like a video game. Let's talk about video games, because a competitor will come out with a feature, suddenly, tomorrow and you're like, ah stop everything. Now we need to, you know, we need to feature match that. So it's a very different kind of development cycle as you said, you've got to move. >> Yeah exactly right. So there's different things that we deliver with every interaction with our customers. So one of the key ingredients is, is obviously we have an evolving brand and the content, a physical product of our brand. We recently launched groundskeeper, which is our deodorant brand, and essentially we want to make sure, that the idea is that, our consumers never actually have to leave their house. So the idea is to provide cheaper products, right, that a good quality, effective and they are delivered to your door. The idea of convenience is never outdated, never goes out of practice. But to your point, it's important to continue to listen to what your customers are asking for. So if they're asking, if they're bald, you don't want to continue to market Boogie's products, which is our hair care product to them. But if they're shaving their heads we want to, you know, evolve on our razors to be able to give them that flexibility so they have a holistic approach. >> Get that data flywheel going, see if the feedback loop coming in, lot of touch points. I got to ask the question around your success in innovation, which is awesome, congratulations. >> Thank you. >> There are a lot of people out there trying to get to kind of where you're at, maybe at the beginning of their journey, let's just say you have an innovative marketer out there or an IT, I mean a Information Systems person who says, we have a lot of members but we don't have a membership. We have a network, we have people, we're different content, we're great at original content. They have the piece parts, but now everything's not pulled together. What's your advice to that person watching, because you start to see people start to develop original content as an earned media strategy, they have open network effective content flowing. They might have members, do they do a membership? What's the playbook? >> Well I think the concept at the base of it all is, how do we, we need to stay very true to our mission. And I think that's the focal point, that sort of brings everything together. We never diverge too far away from that, is for men to really be able to take care of their minds and their bodies. So the area where we focus in on a lot, is that we can't just bombard you, with products, after products, after products. We have to be able to cater to your needs specifically. So when we're listening in to people and what they're talking about in their own personal grooming, personal care needs, we're also going out there and finding information and content to constantly allow them, to hear in on what their questions are all about. What their needs are on a daily basis. How do men interact with grooming products in general, when they go into a retail brick-and-mortar environment, versus when they are online. So all of that is the core ingredient that when we are actually positioning our technology around it. When it comes to innovation, my personal approach to innovation is, the people that are working for you in your organization, whether they're marketers, whether they're technologists, it's very, very important to keep them intrigued. So I personally have introduced what we call an innovation plan. And what that does, is as part of our roadmap delivery for technology, I allow my team members to think about, what they would want to do in the next phase of what they want to to deliver, outside of what they do everyday as their main job. That gets their creativity going and it adds a lot of value to the brand itself. >> And it's great for retention, 'cause innovative people want to solve hard problems, they want to work with other innovative people. So you got to kind of keep that going, you know, so the company wins. >> Exactly, and the company is very approachable when it comes to lunch-and-learn opportunities and essentially learning days. So you keep your resources, and your team's really, really invigorated and working on core things, that are important to the business. >> Amber, thank you so much for coming on, and sharing these amazing insights. >> Thank you, I appreciate it. >> I'll give you the final word, just a final parting word. Share an experience of something, that you've learned over your journey, as VP of Information. Something that you, maybe some scar tissue, something that was a bump in the road, that, a failure that you overcame and you grew from. >> I think as is as a female technologist, I think I would say, and I would encourage most women out there is that it's really important to focus on your personal brand. It's really important to understand what you stand for, what your message is and one of the things that I have learned is that takes a village, it takes a community of people, to really help you grow and really staying strong and connected to your resources, whether they are working with you directly, whether they're reporting to you, you learn constantly from them. And just to be open and approachable, and be able to be open to learning, and then evolving as you grow. >> Amber thank you for sharing. >> Great advice. >> Thank you so much. >> It's theCUBE live coverage here in Las Vegas, for Adobe Summit 2019. I'm John Furrier with Jeff Frick, stay with us. After this short break we'll be right back. (upbeat music)

>> Announcer: From the heart of Silicon Valley, it's theCUBE. Covering CloudNOW's seventh annual Top Women Entrepreneurs in Cloud Innovation Awards. (upbeat music) >> Hi, Lisa Martin with theCUBE, on the ground at Facebook Headquarters. We're here for the seventh annual CloudNOW Top Women Entrepreneurs in Cloud Innovation Awards. Welcoming one of the award winners and a CUBE alumni to the program, we have Tongtong Gong. You are co-founder and COO of Amberdata, Tongtong. Welcome back to theCUBE, and congrats on the award. >> Thank you, thanks for having me Lisa. >> Our pleasure. So, you've been on theCUBE before. We'll talk about Amberdata in a second. And I love the name, so I want you to tell us a little bit about that. Health and intelligence for blockchain, but one of the really interesting things about you is you are a technical female co-founder of a venture-funded company. A lot of words there, huge accomplishment. >> Tongtong: Thank you. >> Tell us about the inspiration. What was the opportunity? Was it your idea? Was it your co-founder's idea? How did this opportunity for the technology come to fruition? Then how did you, as a female, go and lead and get funding for this technology? >> Wow, how much time do I have? I can talk all day on this subject. So, it all started last 2017, summer. I was just very intrigued with blockchain technology and the potential of how blockchain can change our life and take our identity, assets, have full control, remove intermediaries. I had a full-time job at that time, leading engineering for a startup company, and I just don't have enough time in the day to learn about this new technology and what's the better way to do it, and then jump right in, start own company, and start from blockchain data. So, my background is in data analytics and computing, and when I start learning blockchain, I realized blockchain data, it's stored, it's immutable, but it's really hard to access. It's really hard to analyze. It's really hard to process without all the tools that we all know and comfortable with. So, me and my co-founder at that point were going back and forth with this new technology and the opportunities. I think it's his idea. Let's do something with the data that's stored on blockchain. Amberdata, the company's name, it's because Nick Szabo did a podcast with Tim Ferriss and Naval about blockchain is a fly trapped in amber. Upon layers and layers of amber solidified and the bubbles and the fly, you can still see it but it's immutable. You can't change it anymore. So, we're like, what brilliant name is that, right? >> Lisa: Absolutely. >> Amberdata. Without a tool, a platform like us, you can't possibly count all the bubbles in the amber. We help you extract the bubbles from the amber, the flies from the amber, and analyzing it. And that's what we do. >> Wow, that's a great analogy, a great name. Health and intelligence for blockchain. Blockchain is a very hot technology topic. Every company out there, whether they're a startup born in the cloud or legacy enterprise, wants to be doing something in blockchain. As a female co-founder, was that an advantage for you when you went in to venture capitalists looking to get funding? What do you think some of those advantages were? >> Honestly, I always consider being female is an attribute of me. It's not the definition of me. My gender doesn't define me. It doesn't constrain me. It's just who I am and I'm also engineer. I'm also incredibly curious all the time. I'm also bubbly. I'm also a wife. I'm also a daughter. So, there's just many attributes of me. When we start a company, we went into lots of friends and VCs and Meetups and we'd talk to anyone about our idea. Looking for advice, looking for validation. That's really what led us to get the funding. >> I love that. One day I hope we'll be to a place where gender doesn't define us but we know the numbers in females in technical roles. But it sounds like one of the things that you leveraged, maybe, were some of those softer skills. You're very personable. You had a great idea. You clearly have passion for it. Building your own groundswell with Meetups and a network seems like one of the key initiators of your success. >> Now you put it that way, I think so. I never thought about it that way. Yeah, 'cause in the beginning, you really try to define and refine the idea and the product. Are you solving a problem? What is the problem that you are solving? You really can't get answers unless you talk to lots of people and I think, perhaps, being a female, it really helps me just to talk to people all day long. >> It's good that you can do that. Genetically, I think we both have that in common. Tonight, as we wrap up here, you're presenting in front of Sheryl Sandberg, who is probably one of the beacons that women have globally. Not just in technology, she's obviously written some incredibly inspiring books about a number of different life situations. You must be pretty excited to have the opportunity to not only be a co-founder but to be recognized by this award and have somebody as prestigious and inspirational as Sheryl in the audience. >> Absolutely. I have both her books, Lean In and Option B. I actually bough both books in Chinese version for my mom, as well. So, I have four copies. I'm a huge fan of Sheryl. I think she's very inspirational about leaning in and take a seat at the table. One of my friend, Jamie Moy, once said, "Girl, let's forget about taking a seat. Let's create a table. Let's create a seat for other people." >> "Girl, let's create a seat." I love that. Tongtong, thank you so much for stopping by. Congratulations again on the award. >> Thank you. >> And we look forward to having you back on theCUBE again, talking more about what you're doing with Amberdata. >> Thank you for having me. >> We want to thank you. You're watching theCUBE. I'm Lisa Martin from Facebook headquarters. Thanks for watching. (upbeat music)

>>The Cube Presents HPD Discovered 2020 >>two. >>Brought to You by H. P E >>Good >>Morning Live from the Venetian Expo Centre Lisa Martin Day Volonte Day two of the Cubes Coverage of HP Discover 22 We've had some great conversations yesterday. Today, full day, a content coming your way. We've got one of our alumni back with us. Neil MacDonald joins us, the executive vice president and general manager of Compute at HPD Neale, Great to have you back on the Cube. >>It's great to be back. And how cool is it to be able to do this face to face again instead of on zoom. Right. So >>great. Great. The keynote yesterday absolutely packed, so refreshing to see that many people eager to hear what HP has been doing. It's been three years since we've all gotten together in person. >>It is, and we've been busy. We've been busy. We've got to share some great news yesterday about some of the work that we're doing with HB Green Lake Cloud Platform and really bringing together all the capabilities across the company in a very unified, cohesive way to enable our customers to embrace that as a service experience we committed to Antonio three years ago, said we were gonna deliver everything we do as a company as a service through Green Lake and we've done it. And it's fantastic to see the momentum that that's really building and how it's breaking down the silos from different types of infrastructure and offer to really create integrated solutions for our customers. So that's been a lot of fun. >>Give us the scope of your role, your areas of responsibility. And then I'd love to hear some feedback. You've been a couple of days here around customers. What some of the feedback help us understand that. >>So at HP, I lead the Compute business, which is our largest business. That includes our hardware and software and services in the compute space. Both, um, what flows through the green late model, but also what throws flows through a traditional purchase model. So, um, that's, uh, that's about $13 billion business for the company and the core of so much of what we do, and it's a real honour to be leading a business that's such a a legacy in a franchise with with 30 years of innovation for our customers in an ocean of followers. Um and it's great to be able to start to share some of the next chapters in that with our customers this week. >>Well, it's almost half the business H p e and as we've talked about, it's an awesome time to be in the computer business. What are you seeing in terms of the trends? Obviously you're all in on as a service. But some customers say, Tell me I got a lot of capital. Yeah, absolutely. I'm fine with Capex. What are you hearing from customers in that regard? And presumably you're happy to sell them in a kind of Capex model? >>Absolutely. And in the current environment, in particular with with some of the economic headwinds that we're starting to stare down here, it's really important for organisations to continue to transform digitally but to be able to match their investments with the revenues as they're building new services and new capabilities. And for some organisations, the challenge of investing all the Capex up front is a big lift and there's quite a delay before they can really monetise all of that. So the power of HP Green Lake is enabling them to match their investment in the infrastructure on a pay as you go basis with the actual revenue they're going to generate from their new capability. So for lots of people that works. But for many other customers, it's it's much more palatable to continue in a Capex purchase, but and we're delighted to do that. A lot of my business still is in that mode. What's changing the or what are the needs, whether you're in the green light environment or in the Capex environment? Um, increasingly, the edge has become a bigger and bigger part of all of our worlds, right, the edges where we all live and work. We've all seen over the last couple of years enormous change in how that work experience and how the shape of businesses has changed, and that creates some challenges for infrastructure. So one of the things that we've announced and we shared some more details of this week is HP Green Light for Computer Ops Management, which is a location agnostic, cloud based management set up that enables you to automate and lifecycle, manage your physical compute infrastructure wherever it lies, so that might be in a distributed environment in hotel locations or out at the edge for so much more data is now being gathered and has to be computed on. So we're really excited about that. And the great thing is because it's fully integrated with HP. Green Light Cloud Platform is in there alongside the storage, alongside the connectivity alongside all the other capabilities. And we can bring those together in a very cohesive infrastructure view for our customers and then build workloads and services and tops. And that's that's really exciting. How have >>your customer conversations evolved, especially over the last couple of years as the edge has exploded? But we've been living in such uncertain times. Are you seeing a change there in the stakeholders rising up the C suite stack in terms of how do we really fine tune this? Because we've got to be competitive. We've got to be a data company. >>Well, that's so true because everybody has seen seen data as a currency and is desperately innovating and Modernising their business model, and with it, the underlying infrastructure and how they think about development. And nowhere is that truer than in enterprises that really becoming digital. First, organisations more and more companies are doing their own in house full stack, cloud native development and pivoting hard from a more traditional view of in house enterprise i t. And in that regard, >>let's >>start to look a lot like a Saas company or a service provider in terms of the needs of the infrastructure you want linear performance scaling. You want to be very sensitive not just to the cost, as you call it, but also to the environmental cost and the power efficiency. And so yesterday we were really thrilled to announce the HBP Reliant are all 300 General Live in, which is the first of our general living platforms. And that's in partnership with Ampere is the first of several things that we're gonna go do together. We're looking forward to building out the rest of our Gen 11 portfolio broadly with all of our industry partners in the in the coming quarters. But we're thrilled about the feedback that we're starting to get from some of our customers about the gains in power efficiency that they're getting from using this new server line that we've developed with amber. >>So, you know, this is an area that I'm very interested in what I write about this a lot. So tell us the critical aspects of Gen 11, where ampere fits, is it is it being used for primarily offloads and there's a core share with us. So >>if you look at the opportunity here is really as a core compute tool for organisations that are doing that in house full snack cloud native development and in that environment, being able to do it with great power efficiency at a great cost point is the great combination. The maturity of the ecosystem, um, is really, really improving to the point where is much, much more accessible for those loads? And if you consider how the infrastructure evolves underneath it, the gains that you get from power efficiency multiply. It's a TCO benefit. It's obviously an environmental benefit, and we all have much, much more to do as an industry on that journey. But every little helps, and we're really excited about being able to bring that to market. The other thing that we've done is recognising the value that we bring in the prelim experience, everything with our integrated lights out management, all of the security, the, uh, hardware root of trust, the secure boot chains, all of that Reliant family values we brought to that platform, just as we do with our others. But we've also recognised that for some of our service provider customers, there's a lot of interest in leveraging open BMC and being able to integrate the management plane and control that in house and tie it to whatever orchestrations being done in the service product. So we have full support for open BMC out of the box out of the gate with Janna Levin. And that's one of the ways that we're evolving. Are offering to meet our customers where they are, including not just the assassin service providers but the enterprises who are starting to adopt more and more of those practises as they build out digital. First, >>tell us more about the architecture. If you would kneel. I mean, so where does ampere and that partnership add value? That's incremental to what you what you might think is a traditional server architecture. How's that evolving? >>Well, it's another alternative for certain workloads in that full stack in house proud Native Development model. Um, it's another choice. It's another option and something that's very excited about >>That's the right course for the horse, for the course that was back in internal development because it's just more efficient. It's lower power, more sustainable. All those things exactly. >>And the wonderful thing for us in the uh in this juncture in the market is there is so much architectural innovation. There are so many innovators out there in the industry creating different optimizations in technology with the lesson silicon or other aspects of the system. And that gives us a much broader palette to paint from as we meet our customers' needs as their businesses involving the requirements are evolving, we can be much more creative as we bring this all together. It's a real thrill to be able to bring some of these technologies into the HP reliant space because we've always felt that compute matters. We've always known that hardware matters, and we've been leading and innovating and meeting these needs as they've evolved over the decades, and it's really fun to be able to continue to do that. Hardware still >>matters. It doesn't matter. We know that here on the Cube, talk about the influence of the customer with so much architectural innovation. There's a lot of choice for customers in every industry. When you're in customer conversations, how are you helping them make decisions? One of the key differentiators that you articulate that's going to really help them achieve outcomes that they have to achieve? >>Well, I think that's exactly as you say. It's about the outcome. Too often, I think the conversation can get down into the lower level details of component, tree and technology and our philosophy. HP has always been focused on what it is that the customer is trying to achieve. How are they trying to serve their customers? What are their needs? And then we can bring an opinionated point of view on the best way to solve that problem, whether that's recommendations on the particular Capex, infrastructure and architecture to build or increasingly, the opportunity to serve that through HP Green Lake, either as hard or as a service. Or is HP Green Lake services further up the stack? Because when you start talking about what is the outcome you're trying to achieve, you have you have a much, much better opportunity to focus the technology to serve the business and not get wrapped up in managing the infrastructure and that's what we love to do. >>So where? Give us the telescope vision. Maybe not to tell a binocular vision as to where compute is going. We're clearly seeing more diversity in silicon. Uh, it's not just a you know x 86 CPU world anymore. There's all these other supporting components new workloads coming in. Where do you you mentioned Edge, whole new ballgame ai inference sing. And that was kind of new workloads, offloads and things of that. Where do you see it all going in the next 3 to 5 years? >>I think it's gonna be really, really exciting time because more and more of our data is getting captured to the edge. And because of the experiences that companies are trying to deliver and organisations are trying to deliver that requires more and more stories are more and more compute at the edge. The edge is not just about connectivity, and again, that's why with the F B green light cloud platform, the power of bringing together the connectivity with the compute with the storage with the other capabilities in that integrated way gives us the ability to serve that combined need at the edge in a very, very compelling way. The room moves a lot of friction and a lot of work for our customers. But as you see that happen, you're going to see more and more combining of functionalities. The silos are going to start to break down between different classes of building block in the data centre, and you've already seen shifts with more and more software to find more and more hybrid offerings running across a computing substrate. But perhaps delivering storage services are analytic services or other workloads, and you're gonna see that to conduct that continue to evolve. So it's gonna be very fun over the next few years to see that, uh, that diversification and a much more opinionated set of offers for particular use cases and workloads and at our job and value is going to be simplifying that complexity because choices great right up to the point where you're paralysed by too many choices. So the wonderful thing about the world that's been done here is that we're able to bring that opinionated point of view and help guide, and again it's all about starting with what are you trying to achieve. What are the outcomes you're trying to deliver? And if you start there were having a great time helping our customers find the right path forward. >>Wow, it sounds like a fun job. Talk to me about, you know, maybe one of your favourite examples that you really think articulates the value of of the choice and the opportunities that HP can deliver to customers, maybe favourite customer example where you think we really nailed it here and they're achieving some incredible outcomes. >>Well, we're really excited about this week as I was chatting with the CEO of Cloud Sigma, which is a global ideas and pass provider who's actually been using our new HP per client moral 300 general live in Are you on purpose? Server line? And, uh, their CEO was reporting to me yesterday that based on his benchmarking, they're seeing a significant improvement in power efficiency, and that's that's that's cool to an engineer. But what's even better is the next thing, he said. That's enabling them to deliver better cost to their customers and advanced their sustainability goals, which is such a core part of what we as an industry and we as society are going to have to continue to make stepwise progress against over the next decade in order to confront those challenges in the environment so that that's that's really fulfilling, not just to see the tech, which is always interesting to an engineer but actually see the impact that it's having an enabling that outcome foreclosed signal >>so many customers, including Cloud Sigma and customers in every industry. E S G is an incredibly important initiative. And so it's vital for companies that have a core focus on E. S G to partner with companies like HP who will help them facilitate that actually demonstrate outcomes to their own users. >>It's such an important journey and it's gonna be a journey of many steps together. But I think it's one of the most critical partnerships that as an industry and as an ecosystem, we still have a lot of work to do and we have to stay focused on it every day, continuing, moving the bar. >>You >>know, to your point about E. S G. You see these E s G reports. Now that they're unbelievable, the data that is in them and the responsibility that organisations mid and large organisations have to actually publish that and be held accountable. It's actually kind of daunting, but there's a lot of investments going on there. You're absolutely right. The >>accountability is key, and it's it's it's necessary to have an accountability partner and ecosystem that can facilitate that. Exactly. >>We just published last week our Own Living Progress report this year, talking about some of the steps that we're making the commitments that we pulled in in time. Um, and we're looking forward to continue to work on that with our customers and with the industry, because it's so critical that we make faster progress together on that >>last question. What's your favourite comment that you've heard the last couple of days being back in person with about 8000 customers, partners and execs? It's >>not. It's not the common. It's the sparkles in the eyes. It's the energy. It is so great to be back together, face to face. I think we, uh, we've soldiered through a couple of tough years. We've done a lot of things remotely together, but there's no substitute for being back together, and the energy is just palpable and it's it's fantastic to be able to share some of what we've been up to in the interim and see the excitement about getting adopted by customers and partners. >>I agree the energy has been fantastic. We were talking about that yesterday. You brought it today, Neil, Thank you so much for joining us. We're excited about Antonio coming up next, going to unpack all the announcements. Really good customers. Perspective from the top of H P E for Neil and Dave Volonte. I'm Lisa Martin joins us in just a few minutes as the CEO of HP, Antonio Neary joins us next.

>>From around the globe. It's the queue with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Welcome back to the cubes. Live coverage for ADFS reinvent 2020 I'm John Ford with the cube, your host. We are the cube virtual. We're not there in person this year. We're remote with the pandemic and we're here for the keynote analysis for Verner Vogels, and we've got some great analysts on and friends of the cube cube alumni is Rob Hirschfeld is the founder and CEO of Rakin a pioneer in the dev ops space, as well as early on on the bare metal, getting on the whole on-premise he's seen the vision and I can tell you, I've talked to him many times over the years. He's been on the same track. He's on the right wave frog. Great to have you on. I'm going to have to start Veatch, come on. Y'all come on as well, but great to see you. Thanks, pleasure to be here. Um, so the keynote with Verna was, you know, he's like takes you on a journey, you know, and, and virtual is actually a little bit different vibe, but I thought he did an exceptional job of stage layout and some of the virtual stage craft. Um, but what I really enjoyed the most was really this next level, thinking around systems thinking, right, which is my favorite topic, because, you know, we've been saying, going back 10 years, the cloud is just, here's a computer, right. It's operating system. And so, um, this is the big thing. This is, what's your reaction to the keynote. >>Wow. So I think you're right. This is one of the challenges with what Amazon has been building is it's, you know, it is a lock box, it's a service. So you don't, you don't get to see behind the scenes. You don't really get to know how they run these services. And what, what I see happening out of all of those pieces is they've really come back and said, we need to help people operate this platform. And, and that shouldn't be surprising to anyone. Right? Last couple of years, they've been rolling out service, service service, all these new things. This talk was really different for Verner's con normal ones, because he wasn't talking about whizzbang new technologies. Um, he was really talking about operations, um, you know, died in the wool. How do we make the system easier to use? How do we expose things? What assistance can we have in, in building applications? Uh, in some cases it felt like, uh, an application performance monitoring or management APM talk from five or even 10 years ago, um, canaries, um, you know, Canary deployments, chaos engineering, observability, uh, sort of bread and butter, operational things. >>We have Savi Joel, who's a influencer cloud computing Xtrordinair dev ops guru. Uh, we don't need dev ops guru from Amazon. We got Sarpy and prop here. So it'd be great to see you. Um, you guys had a watch party. Um, tell me what the reaction was, um, with, of the influencers in the cloud or ADI out there that were looking at Vernon's announcement, because it does attract a tech crowd. What was your take and what was the conversation like? >>Yeah, we kinda geeked out. Um, we had a watch party and we were commenting back and forth, like when we were watching it. I think that the general consensus is that the complexity of AWS stack itself is, is increasing. Right. And they have been focused on developers a lot, I think a lot longer than they needed to be a little bit. I think, uh, now they need to focus on the operations. Like we, we are, we all love dev ops talks and it's very fancy and it's very modern way of building software. But if you think deep down that, like once we developed software traditionally and, and also going forward, I think we need to have that separation. Once you develop something in production, it's, it's, it's operating right. Once you build a car, you're operating car, you're not building car all the time. Right? >>So same with the software. Once you build a system, it should have some stability where you're running it, operating it for, for a while, at least before you touch it or refactoring all that stuff. So I think like building and operating at the same time, it's very good for companies like Amazon, AWS, especially, uh, and, and Google and, and, and Facebook and all those folks who are building technology because they are purely high-tech companies, but not for GM Ford Chrysler or Kaiser Permanente, which is healthcare or a school district. The, they, they need, need to operate that stuff once it's built. So I think, uh, the operationalization of cloud, uh, well, I think take focus going forward a lot more than it has and absorbable Deanna, on a funny note, I said, observability is one of those things. I, now these days, like, like, you know, and the beauty pageants that every contestant say is like, whatever question you asked, is it Dora and the answer and say at the end world peace, right? >>And that's a world peace term, which is the absorbability. Like you can talk about all the tech stuff and all that stuff. And at the end you say observability and you'll be fine. So, um, what I'm making is like observability is, and was very important. And when I was talking today about like how we can enable the building of absorbability into this new paradigm, which is a microservices, like where you pass a service ID, uh, all across all the functions from beginning to the end. Right. And so, so you can trace stuff. So I think he was talking, uh, at that level. Yeah. >>Let me, let's take an observer Billy real quick. I have a couple of other points. I want to get your opinions on. He said, quote, this three, enabling major enabling technologies, powering observability metrics, logging and tracing here. We know that it would, that is of course, but he didn't take a position. If you look at all the startups out there that are sitting there, the next observability, there's at least six that I know of. I mean, that are saying, and then you got ones that are kind of come in. I think signal effects was one. I liked, like I got bought by Splunk and then is observability, um, a feature, um, or is it a company? I mean, this is something that kind of gets talked about, right? I mean, it's, I mean, is it really something you can build a business on or is it a white space? That's a feature that gets pulled in what'd you guys react to that? >>So this is a platform conversation and, and, you know, one of the things that we've been having conversations around recently is this idea of platforms. And, and, you know, I've been doing a lot of work on infrastructure as code and distributed infrastructure and how people want infrastructure to be more code, like, which is very much what, what Verna was, was saying, right? How do we bring development process capabilities into our infrastructure operations? Um, and these are platform challenges. W what you're asking about from, uh, observability is perspective is if I'm running my code in a platform, if I'm running my infrastructure as a platform, I actually need to understand what that platform is doing and how it's making actions. Um, but today we haven't really built the platforms to be very transparent to the users. And observability becomes this necessary component to fix all the platforms that we have, whether they're Kubernetes or AWS, or, you know, even going back to VMware or bare metal, if you can't see what's going on, then you're operating in the blind. And that is an increasingly big problem. As we get more and more sophisticated infrastructure, right? Amazon's outage was based on systems can being very connected together, and we keep connecting systems together. And so we have to be able to diagnose and troubleshoot when those connections break or for using containers or Lambdas. The code that's running is ephemeral. It's only around for short periods of time. And if something's going wrong in it, it's incredibly hard to fix it, >>You know? And, and also he, you know, he reiterated his whole notion of log everything, right? He kept on banging on the drum on that one, like log everything, which is actually a good practice. You got to log everything. Why wouldn't you, >>I mean, how you do, but they don't make it easy. Right? Amazon has not made it easy to cross, cross, and, uh, connect all the data across all of those platforms. Right? People think of Amazon as one thing, but you know, the people who are using it understand it's actually a collection of services. And some of those are not particularly that tied together. So figuring out something that's going on across, across all of your service bundles, and this isn't an Amazon problem, this is an industry challenge. Especially as we go towards microservices, I have to be able to figure out what happened, even if I used 10 services, >>Horizontal, scalability argument. Sorry. Do you want to get your thoughts on this? So the observability, uh, he also mentioned theory kind of couched it before he went into the talk about systems theory. I'm like, okay. Let's, I mean, I love systems, and I think that's going to be the big wake up call here for the next 10 years. That's a systems mindset. And I think, you know, um, Rob's right. It's a platform conversation. When you're thinking about an operating system or a system, it has consequences when things change, but he talked about controllability versus, uh, observability and kinda T that teed up the, well, you can control systems controls, or you can have observability, uh, what's he getting at in all of this? What's he trying to say, keep, you know, is it a cover story? Is it this, is it a feature? What was the, what was the burner getting at with all this? >>Uh, I, I, I believe they, they understand that, that, uh, that all these services are very sort of micro in nature from Amazon itself. Right. And then they are not tied together as Rob said earlier. And they, he addressed that. He, uh, he, uh, announced that service. I don't know the name of that right now of problem ahead that we will gather all the data from all the different places. And then you can take a look at all the data coming from different services at this at one place where you have the service ID passed on to all the servers services. You have to do that. It's a discipline as a software developer, you have to sort of adhere to even in traditional world, like, like, you know, like how you do logging and monitoring and tracing, um, it's, it's your creativity at play, right? >>So that's what software is like, if you can pass on, I was treating what they gave an example of Citrix, uh, when, when, when you are using like tons of applications with George stream to your desktop, through Citrix, they had app ID concept, right? So you can trace what you're using and all that stuff, and you can trace the usage and all that stuff, and they can, they can map that log to that application, to that user. So you need that. So I think he w he was talking about, I think that's what he's getting too. Like we have to, we have to sort of rethink how we write software in this new Microsoft, uh, sort of a paradigm, which I believe it, it's a beautiful thing. Uh, as long as we can manage it, because Microsoft is, are spread across like, um, small and a smaller piece of software is everywhere, right? So the state, how do we keep the state intact? How do we, um, sort of trace things? Uh, it becomes a huge problem if we don't do it right? So it it's, um, it's a little, this is some learning curve for most of the developers out there. So 60 dash 70% >>Rob was bringing this up, get into this whole crash. And what is it kind of breakdown? Because, you know, there's a point where you don't have the Nirvana of true horizontal scalability, where you might have microservices that need to traverse boundaries or systems, boundaries, where, or silos. So to Rob's point earlier, if you don't see it, you can't measure it or you can't get through it. How do you wire services across boundaries? Is that containers, is that, I mean, how does this all work? How do you guys see that working? I just see a train wreck there. >>It's, it's a really hard problem. And I don't think we should underestimate it because everything we toast talked about sounds great. If you're in a single AWS region, we're talking about distributed infrastructure, right? If you think about what we've been seeing, even more generally about, you know, edge sites, uh, colo on prem, you know, in cloud multi-region cloud, all these things are actually taking this one concept and you're like, Oh, I just want to store all the log data. Now, you're not going to store all your log data in one central location anymore. That in itself, as a distributed infrastructure problem, where I have to be able to troubleshoot what's going on, you know, and know that the logs are going to the right place and capture the data, that's really important. Um, and one of the innovations in this that I think is going to impact the industry over the next couple of years is the addition of more artificial intelligence and machine learning, into understanding operations patterns and practices. >>And I think that that's a really significant industry trend where Amazon has a distinct advantage because it's their systems and it's captive. They can analyze and collect a lot of data across very many customers and learn from those things and program systems that learn from those things. Um, and so the way you're going to keep up with this is not by logging more and more data, but by doing exactly what we're talking through, which was how do I analyze the patterns with machine learning so that I can get predictive analysis so that I can understand something that looks wrong and then put people on checking it before it goes wrong. >>All right, I gotta, I gotta bring up something controversial. I can't hold back any longer. Um, you know, Mark Zuckerberg said many, many years ago, all the old people, they can do startups, they're too old and you gotta be young and hungry. You gotta do that stuff. If we're talking systems theory, uh, automated meta reasoning, evolvable systems, resilience, distributed computing, isn't that us old guys that have actually have systems experience. I mean, if you're under the age of 30, you probably don't even know what a system is. Um, and, or co coded to the level of systems that we use to code. And I'm putting my quote old man kind of theory, only kidding, by the way on the 30. But my point is there is a generation of us that had done computer science in the, in the eighties and seventies, late seventies, maybe eighties and nineties, it's all it was, was systems. It was a systems world. Now, when you have a software world, the aperture is increasing in terms of software, are the younger generation of developers system thinkers, or have we lost that art, uh, or is it doesn't matter? What do you guys think? >>I, I think systems thinking comes with age. I mean, that's, that's sort of how I think, I mean, like I take the systems thinking a greater sort of, >>Um, world, like state as a system country, as a system and everything is a system, your body's a system family system, so it's the same way. And then what impacts the system when you operated internal things, which happened within the system and external, right. And we usually don't talk about the economics and geopolitics. There's a lot of the technology. Sometimes we do, like we have, I think we need to talk more about that, the data sovereignty and all that stuff. But, but even within the system, I think the younger people appreciate it less because they don't have the, they don't see, um, software taught like that in the universities. And, and, and, and by these micro micro universities now online trainings and stuff like sweaty, like, okay, you learn this thing and you're good at it saying, no, no, it's not like that. So you've got to understand the basics and how the systems operate. >>Uh, I'll give you an example. So like we were doing the, the, the client server in early nineties, and then gradually we moved more towards like having ESB enterprise services, bus where you pass a state, uh, from one object to another, and we can bring in the heterogeneous, uh, languages. This thing is written in Java. This is in.net. This is in Python. And then you can pass it through that. Uh, you're gonna make a state for, right. And that, that was contained environment. Like ESBs were contained environment. We were, I, I wrote software for ESPs myself at commerce one. And so like, we, what we need today is the ESP equallant in the cloud. We don't have that. >>Rob, is there a reverse ageism developers? I mean, if you're young, you might not have systems. What do you think? I, I don't agree with that. I actually think that the nature of the systems that we're programming forces people into more distributed infrastructure thinking the platforms we have today are much better than they were, you know, 20 years ago, 30 years ago, um, in the sense that I can do distributed infrastructure programming without thinking about it very much anymore, but you know, people know, they know how to use cloud. They know how to use a big platform. They know how to break things into microservices. I, I think that these are inherent skills that people need to think about that you're you're right. There is a challenge in that, you know, you get very used to the platform doing the work for you, and that you need to break through it, but that's an experiential thing, right? >>The more experienced developers are going to have to understand what the platforms do. Just like, you know, we used to have to understand how registers worked inside of a CPU, something I haven't worried about for a long, long time. So I, I don't think it's that big of a problem. Um, from, from that perspective, I do think that the thing that's really hard is collaboration. And so, you know, it's, it's hard people to people it's hard inside of a platform. It's hard when you're an Amazon size and you've been rolling out services all over the place and now have to figure out how to fit them all together. Um, and that to me is, is a design problem. And it's more about being patient and letting things, uh, mature. If anything might take away from this keynote is, you know, everybody asked Amazon to take a breath and work on usability and, and cross cross services synchronizations rather than, than adding more services into the mix. And that's, >>That's a good point. I mean, again, I bring up the conversation because it's kind of the elephant in the room and I make it being controversial to make a point there. So our view, because, you know, I interviewed Judy Estrin who helped found the internet with Vince Cerf. She's well-known for her contributions for the TCP IP protocol. Andy Besta Stein. Who's the, who's the Rembrandt of motherboards. But as Pat Gelsinger, CEO of VMware, I would say both said to me on the cube that without systems thinking, you don't understand consequences of when things change. And we start thinking about this microservices conversation, you start to hear a little bit of that pattern emerging, where those systems, uh, designs matter. And then you have, on the other hand, you have this modern application framework where serverless takes over. So, you know, Rob back to your infrastructure as code, it really isn't an either, or they're not mutually exclusive. You're going to have a set of nerds and geeks engineering systems to make them better and easier and scalable. And then you're going to have application developers that need to just make it work. So you start to see the formation of kind of the, I won't say swim lanes, but I mean, what do you guys think about that? Because you know, Judy and, um, Andy better sign up. They're kind of right. Uh, >>Th th the enemy here, and we're seeing this over and over again is complexity. And, and the challenge has been, and serverless is like, those people like, Oh, I don't have to worry about servers anymore because I'm dealing with serverless, which is not true. What you're doing is you're not worrying about infrastructure as much, but you, the complexity, especially in a serverless infrastructure where you're pulling, you know, events from all sorts of things, and you have one, one action, one piece of code, you know, triggering a whole bunch of other pieces of code in a decoupled way. We are, we are bringing so much complexity into these systems, um, that they're very hard to conceive of. Um, and AIML is not gonna not gonna address that. Um, I think one of the things that was wonderful about the setting, uh, in the sugar factory and at all of that, you know, sort of very mechanical viewpoint, you know, when you're actually connecting all things together, you can see it. A lot of what we've been building today is almost impossible to observe. And so the complexity price that we're paying in infrastructure is going up exponentially and we can't sustain infrastructures like that. We have to start leveling that in, right? >>Your point on the keynote, by the way, great call out on, on the, on the setting. I thought that was very clever. So what do you think about this? Because as enterprises go through this transformation, one of the big conversations is the solution architecture, the architecture of, um, how you lay all this out. It's complexity involved. Now you've got on premise system, you've got cloud, you've got edge, which you're hearing more and more local processing, disconnected systems, managing it at the edge with visualization. We're going to hear more about that, uh, with Dirk, when he comes on the queue, but you know, just in general as a practitioner out there, what, what's, what's your, what do you see people getting their arms around, around this, this keynote? What do they, what's your thoughts? >>Yeah, I, I think, uh, the, the pattern I see emerging is like, or in the whole industry, regardless, like if you put, when does your sign is that like, we will write less and less software in-house I believe that SAS will emerge. Uh, and it has to, I mean, that is the solution to kill the complexity. I believe, like we always talk about software all the time and we, we try to put this in the one band, like it's, everybody's dining, same kind of software, and they have, I'm going to complexity and they have the end years and all that stuff. That's not true. Right. If you are Facebook, you're writing totally different kind of software that needs to scale differently. You needs a lot of cash and all that stuff, right. Gash like this and cash. Well, I ain't both gases, but when you are a mid size enterprise out there in the middle, like fly over America, what, uh, my friend Wayne says, like, we need to think about those people too. >>Like, how do they drive software? What kind of software do they write? Like how many components they have in there? Like they have three tiers of four tiers. So I think they're a little more simpler software for internal use. We have to distinguish these applications. I always talk about this, like the systems of record systems of differentiation, the system of innovation. And I think cloud will do great. And the newer breed of applications, because you're doing a lot of, a lot of experimentation. You're doing a lot of DevOps. You have two pizza teams and all that stuff, which is good stuff we talk about, well, when you go to systems of record, you need stability. You need, you need some things which is operational. You don't want to touch it again, once it's in production. Right? And so the, in between that, that thing is, I think that's, that's where the complexity lies the systems are, which are in between those systems of record and system or innovation, which are very new Greenfield. That, that's what I think that's where we need to focus, uh, our, um, platform development, um, platform as a service development sort of, uh, dollars, if you will, as an industry, I think Amazon is doing that right. And, and Azura is doing that right to a certain extent too. I, I, I, I worry a little bit about, uh, uh, Google because they're more tilted towards the data science, uh, sort of side of things right now. >>Well, Microsoft has the most visibility into kind of the legacy world, but Rob, you're shaking your head there. Um, on his comment, >>You know, I, I, you know, I, I watched the complexity of all these systems and, and, you know, I'm not sure that sass suffocation of everything that we're doing is leading to less is pushing the complexity behind a curtain so that you, you, you can ignore the man behind the curtain. Um, but at the end of the day, you know what we're really driving towards. And I think Amazon is accelerating this. The cloud is accelerating. This is a new set of standard operating processes and procedures based on automation, based on API APIs, based on platforms, uh, that ultimately, I think people could own and could come back to how we want to operate it. When I look at what we w we were just shown with the keynote, you know, it was an, is things that application performance management and monitoring do. It's, it's not really Amazon specific stuff. There's no magic beans that Amazon is growing operational knowledge, you know, in Amazon, greenhouses that only they know how to consume. This is actually pretty block and tackle stuff. Yeah. And most people don't need to operate it at that type of scale to be successful. >>It's a great point. I mean, let's, let's pick up on that for the last couple of minutes we have left. Cause I think that's a great, great double-down because you're thinking about the mantra, Hey, everything is a service, you know, that's great for business model. You know, you hand it over to the techies. They go, wait a minute. What does that actually mean? It's harder. But when I talk to people out there and you hear people talking about everything is a service or sanctification, I do agree. I think you're putting complexity behind the curtain, but it's kind of the depends answer. So if you're going to have everything as a service, the common thesis is it has to have support automation everywhere. You got to automate things to make things sassiphy specified, which means you need five nines, like factory type environments. They're not true factories, but Rob, to your point, if you're going to make something a SAS, it better be Bulletproof. Because if you're, if you're automating something, it better be automated, right? You can measure things all you want, but if it's not automated, like a, like a, >>And you have no idea what's going on behind the curtains with some of these, these things, right. Especially, you know, I know our business and you know, our customers' businesses, they're, they're reliant on more and more services and you have no idea, you know, the persistence that service, if they're going to break an API, if they're going to change things, a lot of the stuff that Amazon is adding here defensively is because they're constantly changing the wheels on the bus. Um, and that is not bad operational practice. You should be resilient to that. You should have processes that are able to be constantly updated and CICB pipelines and, you know, continuous deployments, you shouldn't expect to, to, you know, fossilize your it environment in Amber, and then hope it doesn't have to change for 10 years. But at the same time, we'll work control your house. >>That's angle about better dev ops hypothetical, like a factory, almost metaphor. Do you care if the cars are being shipped down the assembly line and the output works and the output, if you have self-healing and you have these kinds of mechanisms, you know, you could have do care. The services are being terminated and stood up and reformed as long as the factory works. Right? So again, it's a complexity level of how much it, or you want to bite off and chew or make work. So to me, if it's automated, it's simple, did it work or not? And then the cost of work to be, what's your, what's your angle on this? Yeah. >>I believe if you believe in systems thinking, right. You have to believe in, um, um, the concept of, um, um, Oh gosh, I'm losing over minor. Um, abstraction. Right? So abstraction is your friend in software. Abstraction is your friend anyways, right? That's how we, humans pieces actually make a lot more progress than any other sort of living things here in this world. So that's why we are smart. We can abstract complexity behind the curtains, right? We, we can, we can keep improving, like from the, the, you know, wooden cart to the car, to the, to the plane, to the other, like, we, we, we have this, like when, when we see we are flying these airplanes, like 90% of the time they're on autopilot, like that's >>Hi, hiding my attractions is, is about evolution. Evolvable software term. He said, it's true. All right, guys, we have one minute left. Um, let's close this out real quick. Each of you give a closing statement on what you thought of the keynote and Verner's talk prop, we'll start with you. >>Uh, you know, as always, it's a perf keynote, uh, very different this year because it was so operationally focused and using the platform and, and helping people run their, their, off their applications and software better. And I think it's an interesting turn that we've been waiting for for Amazon, uh, to look at, you know, helping people use their own platform more. Um, so, uh, refreshing change and I think really powerful and well delivered. I really did like the setting >>Great shopping. And when we found, I found out today, that's Teresa Carlson is now running training and certification. So I'm expecting that to be highly awesomely accelerated a success there. Sorry, what's your take real quick on burners talk, walk away. Keynote thoughts. >>I, I, I think it was what I expected it to be like, he focused on the more like a software architecture kind of discussion. And he focused this time a little more on the ops side and the dev side, which I think they, they are pivoting a little bit, um, because they, they want to sell more AWS stuff to us, uh, to the existing enterprises. So I think, um, that was, um, good. Uh, I wish at the end, he said, not only like, go, go build, but also go build and operate. So can, you know, they all say, go build, build, build, but like, who's going to operate this stuff. Right. So I think, um, uh, I will see a little shift, I think, going forward, but we were talking earlier, uh, during or watch party that I think, uh, going forward, uh, AWS will open start open sourcing the commoditized version of their cloud, which have been commoditized by other vendors and gradually they will open source it so they can keep the hold onto the enterprises. I think that's what my take is. That's my prediction is >>Awesome and want, I'll make sure I'm at your watch party next time. Sorry. I missed it. Nobody's taking notes. Try and prepare. Sorry, Rob. Thanks for coming on and sharing awesome insight and expertise to experts in cloud and dev ops. I know them. And can firstly vouch for their awesomeness? Thanks for coming on. I think Verner can verify what I thought already was reporting Amazon everywhere. And if you connect the dots, this idea of reasoning, are we going to have smarter cloud? That's the next conversation? I'm John for your host of the cube here, trying to get smarter with Aus coverage. Thanks to Robin. Sarvi becoming on. Thanks for watching.

>> from Seattle. Washington. It's the Q covering AWS. Imagine nonprofit brought to you by Amazon Web service is >> Hey, welcome back already, Jeff. Rick here with the Cube were in Seattle, Washington, right on the waterfront. It's a beautiful day. Unfortunately, a lot of the topics we're talking about today are not so beautiful. We're here at the AWS. Imagine not for profit. Imagine of it. Great event. Little under 1000 people here talking about solving very, very, very big important problems in AWS is helping him. We're excited to have our next guest on. He is Paul Shapiro, President and CEO of the International Center for Missing and Exploited Children. Paul, great to see you. >> Hey, Jeff. Thanks for having me. >> I mean, the title of your organization says that this is not a not a happy problem. I wonder if you can speak a little bit too, You know, kind of the scale of this, this issue and, you know, I know that's part of the reason why you got involved. >> Yeah. You know, it's interesting. Someone once said to me, How do you do this for a living every single day and this person put it into perspective, I think in a profound way. It's a woman who works on our team in the education space. She works with teachers all over the world to help them in the prevention and response of sexually abused and exploited children. Right? And she said, to be in this job to do this every day you give up a little bit of your own innocence to preserve the innocence of others. And when she said that to me, it really hit home. And while it can be challenging every single day, you know, we we realized that the work that we do is very, very important. And, you know, someone has to be there for these children that are very much alone. And that's what drives us every single day. >> Very much God's work, and it's a it's great great for you to do it. So give us a little bit of background on the actual organization. What do you do every day? What kind of the mission and how are you >> executing around the world? >> Well, the mission, as as we like to say, is summarized up in just a few words, and that is no child stands alone And when you think about the children that are out there and the children that we typically focus on our first missing children and why do we focus on missing children? Because when a child goes missing, they become extremely vulnerable, and the urgency to find them quickly is extraordinarily important, the kind of things that can happen to them when they're alone. And for those of us who have children, there's a sense of panic when they're out of our sight for even a moment. Will. You can imagine what happens when a child actually goes missing for a period of time. It's so very important to find them quickly within the first few hours. If not, they're vulnerable, and they're vulnerable to things like trafficking to things like sexual abuse, things that that oftentimes lead toe very negative outcomes so way need to get on it quickly and to build. Um, this would be hard enough if we were just doing in the United States, but our organization was really built out of a necessary out of the necessity to build a global solution for this. So we've activated emergency response in over 30 countries, things like the you've heard of Amber Alerts in the United States? Well, we've helped activate those in over 30 countries. We've helped with building a technology platform that takes images of children and allows us to geo target those images in countries all over the world with just the push of the button sending out millions of images through redundant advertising space through our technology partners that allows for that to happen and a lot more. So when you think about us about the scale of the problem, I mean, how how big do you think the missing >> children probably want? I don't even want to guess, right? I mean, it's, it's, uh, knows all kind of in everyone's face back in the in the milk carton >> days right, which we don't really get seats so much on the milk cartons in the back of trucks. But it's it's >> hundreds and hundreds and hundreds of thousands. But to your point, if it's the one, if it's that that one is is every one is as important as the other hundreds and hundreds of thousands. >> I guess what we do is a modern day milk carton, right? It's It's a way of activating um, the communities through a alert system that is constantly searching for a child on there's there's lots of different ways that we do that, but just getting back to the point of the size of the problem. I mean, there's there's well over 400,000 children missing in the United States. It's enough. If I think 424,000 I believe, is the number in the U. S. Alone. That's enough. That's what Is that the population of Miami? Too many, right? There's, um, 80,000 children missing in the UK That's that's enough children that are missing to Philip Wembley Stadium, Australia. 24,000 children are missing, right? >> So clearly, most of those kids didn't get picked up within hours of becoming missing, as you said, which is such an important piece. So you know what's kind of the ongoing, um, you know, kind of process to keep to keep those keep those faces alive and to use kind of >> modern methods to find them. Clearly, the milk carton was something that that was available a long >> time ago was kind of mass distribution kind of creative at the time. But I have a lot more tools at your disposal today. >> Yeah, you know what? One? One thing that is so important is just making sure a a country is ready and that that is an easy work. That means finding partners that are out there that want to make a difference in this area. Law enforcement is a huge piece of this. Other NGOs are a huge piece of this. And, of course, technology, with the help of organizations like Amazon really enable us to be able to do that on. And that's where things like facial recognition software come in. And, you know, we're big proponents of the partnership and advocacy that we have with a W S that allows us tow Dr that intelligence through our platform and will make it more possible to find more children. >> Right. So you say you're relatively new to the organization. Was there a specific charge in your mind in terms of, you know, kind of fresh blood, fresh energy, fresh point of view that you saw on this opportunity or they saw in you that was kind of York and a new strategic directive that maybe a little bit different than what was happening before, only >> as your new Yeah. Meanwhile, while this is all this has always been so important to me, you know, finding a way to give back and make the world a better place. I mean, that is something that has driven me my entire career. And, you know, ironically, 17 years ago, I worked for a company that really took on missing children as the purpose of their organization. So that's when I got my first exposure to this. If things have come back rather full circle in this new pursuit, by the way, missing children isn't isn't all that we D'oh. But my, uh, my day job over the last 15 years was really ah was organizational transformation. It was it was helping organ organization standardize and scale, um, so that they could be more productive. They can leverage technology so that they can engage a workforce thio drive the right behaviors, Did a lot of organizational training trained tens of thousands of individuals over the last 15 or so years. And when I had an opportunity to come to this organization, you know, I really saw an extraordinary team of people that were very effective at training countries. This organization is a very sensitive organization. What I mean by that is they're very sensitive understanding where country is in its readiness for child protection. And we go in the countries with that sensibility and make sure that the programs that we build first, that there is policy and legislation in place so that the country even recognizes that there's a problem. And by the way we've driven. We've driven policy and legislation where we've had significant influence in over 150 countries over the last 20 years, which is extraordinary work. That's very important foundational e to us being able to understand where countries that trying to go in and provide a cookie cutter solution doesn't work when you're talking about international work, the sensitivities of ah, of a country's culture and understanding of how law enforcement how the education system, how the political system hell healthcare views this problem is ready for this problem is really what we focus on. So that's really where we've built our core competencies are in those very areas and what along with my team and I, we're looking to do right now is to take these silos that we've been focusing on for nearly 20 years where we've been where we've trained, you know, tens of thousands of law enforcement professionals, educators and health care nationals. And we're taking that to the next level. We're building it into a global training academy that is going to take a multidisciplinary look at this that brings these teams together. And instead of us just going in with instructor led training, which is what so many organizations do, we're gonna be taking a look at a blended learning curriculum, using technology to take it online where we can, and to make sure that the time that we spend in these countries is really focused on helping these countries get to a level of certification where they are international center certified. And there will be accountability and expectations built in two. How they get there and how they stay there. And there will be a commitment, ongoing support from us to be able to, you know, keep them moving in the right direction. That's really the vision for the organization. >> Yeah, a CZ you're talking, you know, it's going through my mind is is is the surveillance >> society that we live in right We've got cameras everywhere as you talk to. You know, we're talking about the milk carton, So I'm thinking about pictures of these of these kids rights. We've got surveillance everywhere. We've got all types of laws around how that surveillance is used. We've got facial recognition software all over the place now, which is developing. And I just, you know, are >> these are these tools that you currently use that you envision using? I mean, I would would you know, there's always the privacy security, >> you know, kind of trade off and complexity. That said, I would imagine tools like surveillance at airports and tools like facial recognition and tools like a I and machine learning to do projected aging of individuals must be tremendous new assets for you guys to leverage in your mission. >> Yeah, they've been around for a while, but it's getting better and better, and I know the downward pressure that effects organizations like a W s relative to facial recognition. There's so many privacy laws that cause this this'll challenge for organizations like AWS and also organizations like ours. I guess where where I'm at with it all is we need, there's there's not a question about privacy in my mind, when it comes to protecting children, it's the one great unifier that we have. So we need to find ways to work within the confines of privacy, and that varies wildly country to country, right. But these are the tools that we need that are gonna be just absolutely vital to finding more children to protecting more children, whether these air children that are being trafficked in an airport or child that goes missing after two hours. And we need toe alert a community and feed their images into our system that constantly searches for them. Whether it's in the first hour or just spoke to a parent who had been on his 45th day of his missing son, his son had gone missing. And and and you see the desperation that a parent has when they have nowhere else to turn. It's our job to find places for them to turn toe, employ technology that never stops. I mean, that's you talked about how dark of, ah of a of a job this could be, Yeah, but you know, the hope that we provide really is is the light that keeps us going >> right. So, Paul, final question. What do people not >> know about the space that they should? If you if you could just say, you know, this is kind of the reality, but, >> you know, this is this is where I'm very careful, Thio to make sure that people are ready to hear the realities of the space. I spoke to a judge in the Philippines recently who talked about just the, you know, the kind of cases that she's trying when it comes to sexual abuse, when it comes to children who are trafficked. And I said, What? What exactly are we talking about here? And by the way, this is a conversation I'll have with a lot of people, especially in law enforcement, you know? What kind of age are we talking about? You'd be shocked to find out how high the percentage of children are under 10 years old. You'd be shocked to find out the percentage of children that are under one. And you say to yourself, How can this be? Well, it is. It is the reality of what we're dealing with. So, you know, you talk about something that drives you when you find out children that are that vulnerable in the scale that truly exists, the numbers that exist. You wake up every day and you run to this job and you try to find partners out there in every sector that you can. I don't care if it's in sports. I don't care if it's an entertainment. I don't care if it's in technology. I don't care if it's in religion or government. You find partners that have the ability to make you stronger. And that's a big part of our remit. And it's it's why I feel so fortunate to be here. Um, at this a w s conference, learning more about how we can employ even more technology to make us strong, >> right? Well, certainly with a w s behind you got all the technology >> could ever, ever hope Thio deploy. So hopefully that will help >> you be more effective in your work and >> your team's work. And thank you for taking a few minutes. >> You got Jeff. Thank you so much. >> All right, thanks. He's Paul on Jeff. You're watching the cube. Where? Need of us. Imagined nonprofit in Seattle. Thanks >> for watching. See you next time

(upbeat music) >> Live from Boston, Massachusetts It's theCUBE covering Red Hat Summit 2019. (upbeat music) Brought to you by Red Hat. >> Welcome back live here in Boston along with Stu Miniman, I'm John Walls. You are watching The Cube. We are at the Red Hat Summit for the sixth time in our cube history. Glad to be here. Beautiful, gorgeous day Stu by the way in your hometown. >> Yeah love, beautiful day. It was a little cold when we were here two years ago, but lovely spring day here in Boston Yeah great to be here Glad you're with us here on the Cube Glad to have John Healy with us as well He is the VP of the Internet of Things group at Intel as long as the GM of Platform Management and Customer Engineering John, good morning to you. >> Good morning to you too >> You're kind of the newbie on the block in the IOT group Your data center for a long time moving over to IOT, so just if you would tell me a little bit about that transition >> Yeah, it's been good. >> What you're seeing and kind of what's exciting you about this opportunity for you. >> So it's really interesting, I spent nearly 15 years with the data center group at Intel, did a ton of work with partners like Red Hat over the years. A lot of our focus was in how we bring a lot of data center technologies and grow them somewhat beyond the basic data center. I spent a lot of time on the data network side working with com service providers and Aviv and the build out of their softwarization or cloudification if you like of the infrastructure and now moving over to IOT it's almost like I'm going to the other end of the wire. You know all of the applications and the services we were focused on were very much IOT centric You know enabling new markets, enabling customers to do things when they connected their different devices in ways they couldn't have done before. So, a lot of the focus now is on how we continue to bring those cloud technologies. A lot of things that have matured in the data center further and further down and a lot of cases to the edge in talking about the cloudification of the edge and enable new IOT services and IOT applications to fulfilled and to be delivered. >> John you bring great context to this discussion and I've said the last 10 years there was that pull of the cloud and Intel is at every single show that we go to And a lot of people haven't fully understand and grasp. They hear edge computing, they hear IOT and it's big you know orders of magnitudes more devices you know the surface area that we're going to do their but a lot of times, they're like oh well we're bringing it out of the cloud and back there and we're back in the data center I'm like no no no no no This is not the data centers that you built before, but there is connection between data centers >> Sure >> And the cloud and the edge and the edge in there so you've got good content. Help frame it a little bit as to where we are in the discussion. Some of the users, where they are in the whole IOT discussion. >> Yeah and I think we need to take a step back from looking at one demographic versus another think of IOT versus cloud It really is the continued proliferation of distributed computing. Think of that as sort of the horizontal underpinning of all... >> Absolutely. >> It's how do I enable more and more advanced intelligence and insight to be gained from the data that is being created and derived in how I run my infrastructure and relay new services and new capabilities on top of it and then you start applying that to all of the different markets and there's almost no market that you could conceive that can't take advantage of that So, as we build out data center capability and all of the underpinnings and how you best build out those platforms and take advantage of all the innovation, work with you know partners like Red Hat as being a critical component of that. So, you know we've worked with them for almost actually since the beginning, we were one of the early investors and work with a partner like Red Hat to make sure that those infrastructure components are optimized to work well together build a reference architecture that can be deployable in a data center environment whether it's in an enterprise or in a cloud vendors environment and increasingly enable them to build open and hybrid implementations Now, the reason I start there is because really we are proliferating from that pace. So if you consider, and we do, that the future is open, hybrid implementations, hybrid cloud, multi cloud where the workload can be enabled and supported by the best implementation and best environment from it. Could be the best cloud environment, the best underpinning platforms and the best solution stacks to enable that to occur. We're now moving that into realm of more and more of the IOT applications whether it's in industrial environments, it's in healthcare environments, in retail and automotive, all across the different landscape the premises is essentially the same that we insure that the right environment is created for the application to be supported and we're bringing more and more of the environmental you know capabilities of cloud like deployment cloud like management, increasingly out into those applications So, if you look at each of the different markets they're at differing points of their maturity or of their development I like to use the example of the com service provider the telecom service providers as sort of a basis of this is what happened when an entire market looked at the benefits of data center technology or server technologies and wanted the economies of scale and the openness of those environments to be appropriate and deployed in their environment, in their networks and we've seen that over the last 10 years in the journey from software SaaS for defining networking all the way through to NFV and now it's happening with cloudification of the network. Industrial environments are very very similar Decades of building you know vertically integrated solutions but not looking for the economies of scale that cloud like technology and open interfaces and open extractions can provide and we're starting to see them embark on that journey in a very similar manner. So, I see parallels as we move through from one market to the other But the basic underpinning is very similar. How we take advantage of those capabilities. >> Yeah fascinating stuff You said it's distributed architectures is where were building I look at Intel and it's fascinating to me because one the one hand everything's becoming more and more distributed yet at the same time you're baking things down into the chip as much as you can, you're working with partners at Red Hat to make sure that you know what gets baked into the kernels so you've got that give and take that it is both being as distributed as possible yet every component gets things like security built in to it and it has to work with all of the environments so it's not the discreet components that we might have had before and you talk about6 you know IT versus OT well they're becoming very similar, telecommunications is not the telecom of the dot com boom. They're doing things like NFV and the likes so you know we're starting to see IT kind of take over a lot of those environments are we not? >> Well, I think IT constructs and the abilities and capabilities of IT and it's the merging really is and we saw this you know we seen it over the last number of years it really is a marriage of both environments coming together the mechanism but though which IT will deploy and manage the infrastructure married to the expectations from a SLA and quality of service and such that's required on the network just as one example and then as we work with our partner like Red Hat, what's critically important is that we have multiparty approaches to the market which I think Stu to your point is kind of another dynamic we're seeing is that the implementation of the final solution at a platform level requires collaboration across multiple different entities, multiple different partners so if we're working with Cisco or with Dell or with Lenovo and Red Hat we're bringing together reference architectures that take advantage of the innovations in the platform, the work we're doing, the innovations into the silicone and the enabling and preservation of those innovations through the software stack. So whether its RHEL or Rev or its OSP and make sure that those are exposed and can be preserved in the implementation so then the application that sits on top of the stack can take advantage all the way down and be provisioned such that it maintains the policies and the levels of performance and such that of being defined for it. >> I'd like to you know go back to the telecom illustration that you were talking about just a movement ago and we talked about the internet of things and this explosion of devices and capabilities and the new spectrum that's being rolled out right 5G on the horizon You know very much in a nascent stage right now What is that going to do in terms of your attention or your focus because of the capabilities are going to be provided you know that I can't even imagine the kinds of speeds we're talking about the kind of capabilities we're talking about. How does that change your world? >> I think what is fundamental about 5G is how it starts to address some of the underpinning challenges in deploying multiple billions of connected endpoints or devices so IOT you know subscribes really to two things Connectivity and then the access to our unleashing of all of the data it's really those two dynamics Once you comment these devices together or provide for connectivity to and from them, you now have the ability to drive more insight from the data that they're capturing and make more intelligent and informed decisions about how you provision and then all sources of new applications and service types become possible as a result of that but there in both of those there's a challenge. How do you connect all of those devices together in a manner that's you know efficient to deploy and easy to manage and also provide for the connectivity that is very burst in nature You know there are time when you will need pretty reasonable sizeable bandwidth if it's a video type application and times when you really won't need very much at all and how do you do that in an environment that's affordable and cost effective to deploy? If you're a manufacturing plant manager running cable to every single one of your You know nodes or connectors or sensors across your production plant is a pretty orneriest task and its an expensive capital deployment, but 5G provides you the ability to provide that connectivity within your enterprise or within your factory environment in an efficient manner. It's wireless based. It also provides for the very low latency that allows for real time applications and it provides for mass deployment and management of very large numbers of endpoints so if we think of the density of 5G the low latency capability of it and then the manageability in framework that is in an environment that is predictable that is policy and SLA governed you start to address some of the really fundamental challenges that connecting vast numbers of devices that that can present. So I see 5G as a path to significantly accelerating what we have always envisioned as being the internet of things and as a result of it, new services and new service categories will be enabled on top of it that were before maybe possible but not possible in an efficient and affordable manner >> Can you give me a practical example of that or just... >> Well, if you think even a smart city as an example where the light posts and the traffic signals and kiosks are all playing a role in a connected mesh of interconnected entities you could have a situation and you know for the US audience something like an Amber Alert which we'd see where we want to you know search for a very specific license plate in the city. Well today its a pretty manual process, the Amber Alert is issued, it may be a text on your phone. We get those alerts, there's often times a display over to the smart display over the freeway but then it's up to the drivers to look out. Well just consider the possibilities when the cars using their own vision, which the autonomous driving you know evolution or revolution is allowing us progressing All of the cameras on all of the cars now become actively watching for license plates and they can pick up whether and then a car can enroll itself into or out of that service so if your car is sitting at a garage and this request comes it'll report back I'm sitting in the garage I'm not part of the mix but if it's on the freeway, it can enroll itself and start to actively search for that license plate that's an example and then all of the connected nodes across the city become points for an exchange of data to and from the different cars as they are passing by and all of that infrastructure is enabled by 5G. So that's an application that yeah we don't have it today, but it becomes a very possible application in the future. >> Alright John, so we're at Red Hat Summit and as you said Intel and Red Hat have a long partnership RHEL 8 was announced today can you give us the latest on the deep integrations and what users should be expecting. >> Yeah and what we're really excited about with Red Hat over the years we've really shared a common vision about what we believe the industry should be capable of achieving and this concept of open hybrid environment, it's open hybrid clouds we've been working with them for a long time on how we best enable that so in upstream we work well together, we collaborate on what technologies we want to see exposed and supported within the different communities and then on the downstream into the products with the example of what you're describing to do with RHEL 8 What's really exciting is we did it just as a example, we did a very large data centric launch in early April We were extremely excited to bring you know a whole portfolio of new products to the market together to expand form new CPUs all the way through to some of our storage products and memory products and the capabilities of each of those is what really needs to continued to be integrated and supported with the product portfolio that Red Hat had so with RHEL 8 we're seeing things like our DL Boost for deep learning you know taking advantage of specific accelerations within the CPU in our scalable ZM processor so it can take advantage of those and really enhance the performance and behavior of the deep learning algorithms just as one example and that's you know time to market with us on RHEL 8 we're delighted about the integration as it happened same thing with some of our memory technologies and the support for those within RHEL so a customer deploying an application knows that the innovations within the hardware within the silicone are available and manageable form the software environment that they're deploying and that's the benefit of this tight collaboration as we plan together for future you know innovations and how they can best be integrated and do the work upstream in advance of that so that the community issues whether it's open shift or open stack is enabled and capable of the support at the same time >> Internet of things just before you head off where do you want to, you're still relatively fresh right to that space, where do you think you want it to go with Intel? Like what's your vision or what are your thoughts about the kinds of areas that you'd like to explore here over the next 18-24 months? >> I think we have, first thing is an incredibly exciting market some of the examples we just spoke about, the possibilities that they open up for our customers but also for our partners to really evoke new forms of business, new revenues, new capabilities as a result of bringing the marriage of cloud technology together with the economics of you know volume technology consumption and deployment and all of those assets across into a new set of applications that IOT opens up I see tremendous opportunity to make that marriage happen but also because I've spent so much time on the infrastructure side and very much with com service providers you know I can feel the pent up desire to find ways to deploy new types of manage services and new monetization models if they can get inside the data how we do optimal deployment of networks manage infrastructure on behalf of end customers and all that becomes possible if we bring the application and the IOT closer to the infrastructure so a lot of my focus will really be on bridging across those different worlds ensuring that work with you know partners like Red Hat continue to be the developed very successfully and we open up new opportunities for each other >> Sure. An exciting time, there's no doubt about that. You're at this great convergence right? You're at the fun and games part of this with devices and that exponential growth John thanks for thanks for the time. >> Sure, thank you. >> Glad to have you here on theCUBE once again John Healy joining us from Intel back with more live from Boston you're watching theCUBE. (upbeat music)

(dramatic music) >> Hey everyone, welcome to the special CUBEConversations here in Palo Alto, CA theCUBE Studios. I'm John Furrier, host of theCUBE, founder of SiliconANGLE Media. We are here for some exclusive news around security audits, blockchain smart contracts, and a hot new startup Amber Data we have the Chief Operating Officer Tongtong Gong who's here, Chief Operating Officer of Amber Data, great to see you! You guys, I've interviewed Shawn Douglass, the CEO, founder, before and he was really getting the technology going. Amazing progress, we have some exclusive discoveries here, welcome to theCUBE! >> Thank you, thank you, thanks for having me here. It's awesome, we've done so much in the past couple weeks, and really excited to announce that we have taken security audits, automated that to be able to provide automated at scale security audits for all the smart contracts, Ethereum, through our platform. >> This has been a huge problem, we've been covering it for the past year, with video but also in the blogs, Ethereum specifically has been the developer chain of choice, people are using Ethereum, programming on it, and that's where a lot of the DApps, decentralized apps, which we think there's going to be a tsunami of, we're a bit bullish on it, but the problem is that everyone went in and rushed with these ICO's, and they didn't think about, "Hey we better make sure our token generating event works" because they've got to do a smart contract on that, and then ultimately these marketplaces that will be emerging from these apps through the communities will be a lot of smart contracts, as the transaction of choice. This is what is the benefit of token economics. The problem is, security. The security audits have been a pain in the butt, they've been expensive, and there's been a time lag in getting it done. So you've got a time factor, too slow, too expensive, and it was last minute. >> Right. >> This has been a huge problem. Are you saying that you solved that problem? >> Yeah, kind of! So give you some stats. There are about 7.8 million to 8 million smart contracts on the chain today. On average, there's about 500-600 smart contracts get deployed every day into Mainnet Ethereum. What we've done, we talked to a lot of security teams that's in this space, and at the end of the day everybody use the same tools, set of tools, to preform security audits. What we have done, is we have programatically did that so we can run security audits on every smart contract on the chain. So we launched this feature last Friday, what we did is we picked the top 2000 smart contracts, based on transaction values-- >> On the Mainnet? >> On the Mainnet. And we preformed the audits on those, and last night, yeah three days later, we preformed all 8000 smart contracts that's been created and deployed in the past 90 days. So the top 2000 active ones, and the 8000 recently deployed ones, we preformed security audits on those. >> So this is pretty incredible, so I want to make sure I get this right. If this is the case, this is the first ever automation, or devOPS like approach to smart contract audits and security. So let me just kind of slow down if you don't mind. Today, most people will go in and manually look at code reviews or use some tooling to do that, and then they get a report. Businesses have been doing that, OSHO does that, many more do it, and they're bringing tools to the market, they are too, but I don't think anyone's actually automated at volume. So you're saying, you're automating, ingesting data from the chain-- >> Mhm. We analyze the bytecode as well as the source code to identify vulnerabilities and issues, things like integer overflow into the code, and we actually assign custom, we have our own scoring system to score basically the vulnerability exposure of the smart contract. >> Okay so I want to kind of push back on that because I'm skeptical. So, you do byte review-- >> Bytecode >> Bytecode and source code review, and then it's a black box and you type up a report, or you actually flag the code itself? Do you service it automatically? Does that happen automatically? Take me through what you do manually, and what happens with the computers. What is automated? >> Everything's automated. So we integrated the tools that every expert uses in this space today, to run the security audits on the smart contract and the bytecode and then we flag the particular source code and function calls that's flagged with the issue-- >> That's in the code itself? >> That's in the code itself, in that service, through our website, through our console, and you can actually see it. You can search on any smart contract and the console dashboard will show you the real time live streaming events of your smart contract function calls, as well as the vulnerability-- >> This is amazing. So this means that you can save a lot of time, love this feature, this is exciting. This is actually the first news I've ever hear of this, so I want to make sure I get it right. How many contracts can you do? How fast does it take? So you mentioned you've ingested last week, stuff off the chain, how many contracts was that? >> We did last week, 2000 and then up to last night, we finished 8000 smart contract scans. We're continuing to do that for every smart contract on the chain. >> How fast is this, because I remember back when I was learning how to code for the first time, back in the old days, you had to press a button, you'd have a compiler, and you'd get a bug in the line, syntax error, there it is. That's the normal kind of old school computer science. Syntax, compiler, interpreter, whatever you want to call it. It sounds like you're doing something similar, the same kind of speed. It's code review, analysis to the contracts, security through the tools... How fast is it? I mean, how long does it take to do a review of one smart contract, for instance? >> Actually, I don't know that. I would say minutes. >> Not days? >> Not days. No. Minutes. >> So it's not like it goes out, hourglass... Check your email it'll be there? It happens pretty much on the fly? >> It happens pretty much on the fly, real time. >> So how many contracts can you guys do in a day? >> We've done 8000 in three days, so... A lot! (both laughing) And we have ten machines running right now as we're speaking-- >> So you throw some clout at it, scale up-- >> Exactly, scale up. >> Scaling out is easy to do, you just go... >> Our goal is to basically make it very easy for developers to understand the state and health of their smart contract and then they can go find consultants, experts to fix those vulnerabilities and issues. >> Yeah, this is going to be a rising tide. I think, rising tide floats all boats when you have these emerging markets. You move to the next problem, and you do. Jeff Frick always says that in theCUBE and he's right! You take away security, you're now enabling this tool for these consultants to actually add more value. >> Exactly. >> Is that the focus? Do you guys even know who's going to use this tool yet? Obviously, this is a game changer. I mean, if I'm a data scientist I love this. Also I'm a trader, I might want the data, I'm a risk management, audit compliance person? I mean...you guys-- >> Yeah! At Amber Data our mission has always been providing, enabling infrastructure, enabling tool sets to allow developers, to allow operators, to allow the industry, to allow businesses to adopt blockchain, that's always been our mission and we have built the splunk, you know like search, a feature for blockchain, we have built APM, we have built dissimilar Mixpanel... It's all about providing access to data and to information, to allow everyone to have a better understanding, better transparency into the state and health of the blockchain, the state and health of their smart contracts. So that's you know, in line with-- >> So talk about the scoring thing, because okay, I love this automation I think that that's a game changer. So congratulations, this is the first I've heard of it, and I think this might be the first news in the industry out there. How does it work beyond that? What else do you guys do? Are you ingesting, are you adding overlays to it? What is the focus next? I mean, you're ingesting it, you're doing some security audits... Where does it go from there? >> So, we're actually working with the Web3 Data Foundation. So the Web3 Data Foundation is building a decentralized data marketplace to allow everyone in the ecosystem to list, subscribe, consume, distribute, monetize data assets that's generated by the blockchain and data that's on blockchain. >> So what's the URL for that? Web3... >> Web3data.org >> Three the number or three... >> Three the number, yeah. >> So web3 number data dot org? >> Yeah. >> Okay and is that an open community? Is it a foundation? >> Yes it's a nonprofit foundation, and I believe they're launching a token, Web3 Data token, and Amber Data's working with the Web3 Data foundation as a launch partner to utilize the data ingestion pipeline we have built and to serve up all the data for everyone to have access to it. >> Okay so what's your business model at Amber Data? Are you going to have your own token? Are you going to use the foundation as the token holding place? Can you just take us through the relationship of Amber Data with the foundation? I mean, I get the foundation but what you're doing here is essentially you're building IT operations into the blockchain and scaling things with automation, which certainly is only going to get better with more compute and A.I and other cool things, so I love that. How do you make money? Is it a token model? Is it just, classic, you get paid? What's the relationship? Is the foundation issuing tokens, do you have your own token? Take us through that. >> So the Web3 Data Foundation is the one issuing the token. We are the launch partner, so we are using the bulk diagnostic data ingestion pipeline that we can ingest all the data, and we're building together, building the data marketplace using smart contracts, to enable everyone to list, curate, consume, distribute, monetize the data. You think about it, right? Data on blockchain is just a fraction of the data out there. And as staff development, going on, as a trading application going on, there's a lot of data that's going to be generated by blockchain as well, and those datas aren't getting captured, analyzed, and utilized today. I think today, as a trader, investor, or as a developer, people don't have access to this data, to have data driven decisions, to help them continuously improve. Whether it's application or investment decisions. So the data marketplace will enable everyone to be able to have that access. >> And also it might enable more faster solution of decentralized applications-- >> Exactly. >> Which, Fred Kruger and I were talking on Twitter, I mean Facebook, about this, that we think that's the killer app, it's going to be the tsunami of apps coming. But all these chain problems are out there, so it's a little bit of a resetting going on in the industry. Obviously you see that with some of the pricing and funding and everything, but for the most part we see a big market coming. So I've got to ask you, the obvious question from there is, which chains are you supporting? You mentioned Mainnet which is great for Ethereum-- >> Yeah today we're supporting Ethereum Mainnet, and Rinkeby, the test net. We also support Aion's Mainnet and test net. We also support Stellar, we're working on EOS and TRON as well, so we have open sourced our data collector to allow community to contribute to that and we'll use Web3 Data Token to incentivize the community to contribute, to verify, to enrich the data. >> So I've got to ask you the security question, maybe this might be for more the nerds and the geeks, delving down in the product level, but maybe you can get it. Security is huge, so I'm skeptical. You're doing scoring, can you be hacked? What's the security answer to that? Like, whoa if she's controlling the score, I might want to spoof the code and take over and say it's okay, ya know? >> The code we get is actually on the chain, it's the code that you put on the chain, so good luck spoofing the data on the blockchain. >> That's the whole point of block chain, that's already answered. That's a dumb question, I got that. I always ask dumb questions. Alright, so what's next for you guys? How big are you guys, what's the story? I've been following you guys on Twitter and Telegram, you've been traveling a lot. What's the update on the company, what's the status? >> So we are, as a launch partner for Web3 Data Foundation, right now there's a token sale, we're in the middle of closing our presale. It's a soft offering, and we're building and expanding the team as we're speaking. >> How much are you raising on the staff, can you talk about that? >> No. >> No? Okay you don't have to say the number. Just be careful, it gets hard to raise too much. So the foundation, and you guys. Okay, I want to ask you a personal question, we love women in blockchain, I wear the "Satoshi is female" shirt as much as I can... How did you get into this? Because there's a lot of women coming into blockchain, more than people are advertising. I'm seeing a lot more women in tech, certainly a lot more women in crypto. Blockchain and crypto, you guys are doing almost a cloud devOPs serious venture here. How did you get into this, what's your story? >> I've always been a cloud girl. I started my career building Yatuzi computing, enterprise grid computing. I was 23 years old and working for Axiom in a data center in Arkansas, and I'm the only one that wears high heel6s in data center, and get stuck in a vent you know? That's my background, so it's not a far stretch to understand blockchain and the usefulness of it if you talk about distribute computing, distribute storage. So it's very natural for me, from a technology perspective, get into this space. On a personal note, I really believe in decentralization, and I believe the change it's going to make to our lives and to our offspring's lives in the future. >> It's real, you think? >> It's real. It's here to stay. >> So what's your vision of blockchain? What are people not getting? Obviously there's a lot of scams out there that have kind of tainted on the ICO side, but what are people missing? When you talk to people, you have kind of like, "Oh I get it" and people kind of of like "I don't really see that" ? What's the main thing that they're missing, what's missing? >> I think it's missing that killer Dapp to get people to realize "Oh it's actually easy to use". I don't have to think about the inner workings, and it just works. My mom still lives in Beijing, I talk to her on Skype all the time, she's not worrying about TCPIP, she's not worrying about, how is this phone call getting encrypted or not encrypted? What's my network bandwidth? She just use the phone and call me, like I'm right next to her. I think as we develop building the apps, people don't think about that they're using blockchain, they just use it. >> It's like explaining it to a parent or someone who's not technical.. "Hey how does the internet work? Can't I just "type a keyword in to the browser or a search engine?" Instead today, it's more like "Hey, you know how BGP works?" and "You know how packets move around?" It's so hard to explain, so it's got to be easier. >> Way easier, yeah. >> Totally agree, totally agree. Well Tongtong, thank you for coming on theCUBE, appreciate it, great update, exclusive news. Automation, bringing cloud computing and utility computing, real geeky stuff to the table here. This is theCUBE Conversation and I'm John Furrier. Amber Data COO, Tongtong Gong here, inside theCUBE. Thanks for watching. (dramatic music)

>> Voiceover: From New York, it's the Cube! Covering Blockchain week. Now here's John Furrier. (music) >> Hello, everyone, I'm John Furrier. We're here on the ground, exclusive coverage for Consensus 2018, part of Blockchain Week New York Hashtag us BlockchainweekNY for New York. I'm here with Jimmy Song, who's a partner at Blockchain Capital. A celebrity in the industry, original core bitcoiner, does a lot of work teaching programming- programmable programming bitcoin dot com, also- >> Programmingblockchain.com >> I mean, sorry- programmingblockchain.com On the panel, yesterday, really kind of calling out in really a provocative, in discourse way- Civil discourse, state of the blockchain. Welcome to the Cube conversation. Thanks for coming on. >> Thanks for having me, it's a pleasure. >> So, great to have you on! One, you do a lot of due diligence for Blockchain Capital out in San Francisco, you seal a lot of deals. You're in the space, been there early- on a panel, yesterday, here at the event quite a lot of fireworks going on. You were kind of throwing some haymakers out there, some Molotov cocktails, creating a provocative civil conversation around the state of blockchain- we call it blockchain-washing, where people kind of throw blockchain at something and then say, "We're good, but not good." Your thoughts on that? What was the reaction? >> Yeah, so, I mean Amber Baldet went up and she talked about her product and I just saw lots and lots of buzzwords. And I didn't know what the heck it was, and I thought the rest of the audience doesn't know what it is, either, if I can't get it. I'm a technical guy, I've been around for a while, and I don't understand what the hell this is. And really, a lot of these decks, they just show different pictures of companies and say, all these other people- it's all social signaling, right? It's not about the tech at all, or what it's all about. So I just sort of gave voice to all those people in the audience that were thinking, "What the hell is this? This doesn't make any sense." So I said, "I just see a lot of buzzwords and I don't know what this is and I'm kind of cynical about all this stuff 'cause I've seen so many decks that are like this." And I said, "I don't know if there's anything here." I think a lot of the stuff that's being sold in this industry is just snake-oil. >> Snake-oil is something that people are worried about, but also there's obviously two perspectives: One is, I'm long on the sector, I love the action, I compare to the big waves we've seen. Lot of growth coming. You can kind of easily connect those dots, but the reality is it's still maturing, still embryonic, still more work to do. There's companies out there that are trying to get on the wave. But the model of their business and/or their tech is centralized. So you can't just flip the switch and that was one of your key points. I really want to unpack that. This is a fundamental ethos and also architectural challenge You got to be compatible with the infrastructure the way it's rolling out. Describe what more in detail what you mean by your thoughts on having a decentralized either, company, or architecture. >> Yeah, so a lot of these companies are taking a centralized system and trying to add a decentralized tech into it, like a blockchain. And it doesn't work because the fundamental proposition of a blockchain is that no single person controls it. But these are companies that are trying to control it. I wrote an article yesterday, I released an article yesterday morning, in preparation for what I was going to say on the panel, in part because-- and it's called, "Why Blockchain is Hard" Large part of blockchain is it's extremely expensive in so many ways. And it doesn't really make sense to do it unless you get decentralization. But if you have a centralized point, you're having to trust that centralized entity, anyway. So, putting that thing into it doesn't really make any sense and the tech is just not a good fit. >> You and I were talking before we came on camera about our computer science backgrounds and high-fiving each other, but the bottom line is we've seen paradigms in computer science that have done a lot of these things before: Gamification, token economics, rewards programs. All kinds of things that have been done with traditional databases and distributed computing. So, the question that I hear a lot is, from people that like the wave, the sea of possibilites, they ask the question: Why blockchain? So that's the question I want to ask you. If someone's out there, looking at their business and Okay, what is this? Why blockchain? What's in it for me? How do you react to that? How do you answer that question? 'Cause it's an important one. You're either "yes" or "no"-- It's kind of, almost binary. "Yes, I'm in, it's good for me" or "not compatible." What's your response to the question? >> Yeah, so first of all, that is exactly the question you should be asking as a business person. If you're not getting any ROI out of it, then why the hell are you using it? Vast majority of the time, you're not going to get anything out of the blockchain unless you're using bitcoin or something like that which actually is sort of sound money that's not inflated away by the government and things like that. But there are aspects of the blockchain that I think are very useful. I think 99% of the products that are out there that are touting blockchain-- most of them are really looking at a technology from 1991. Public key cryptography. They just want proof that certain things happened and they want transparency around that. And if you have that, you don't really need the entire apparatus of a blockchain, you just need the public key cryptography. Why do you need the whole blockchain? It's so confusing to me why they conflate the two because it's-- public key cryptography is so much easier to understand. >> And there's some overhead involved in blockchains, it's early on. What are some of those areas that are obvious, that you can just share for the folks that aren't inside the ropes on the industry? What are the obvious areas of concern in blockchain? Latency, gas, turnaround. What are some of the things? >> From a blockchain's perspective, first of all it's extremely hard to develop. As a programmer, agile methodology, obviously, has been very popular. You iterate over and over again. Facebook's motto is "Move fast and break things." You can't do that on a blockchain. You can't move fast, you can't break anything. 'Cause if you break anything, the entire data block structure is completely corrupt and then it's no longer useful. So you have to get everything right at the first time. You have to also-- like you said about gamification-- you have to be very careful about incentives 'cause if you get the incentives wrong and someone has an economic incentive to abuse your blockchain, they're going to do it. There's also all sorts of costs from a maintenance perspective 'cause you have to not only store the data, you have thousands of nodes, everyone has to store the data, everyone has to verify the data, everyone has to transmit the data. This is 1000X the cost of a centralized database. That's a tremendous cost to pay and you could do a lot of the same things that you're looking for if you're a centralized entity already, with back-ups, receipts, audits, public key cryptography. There are ways to get a lot of the things people are touting without necessarily using this heavy, heavy, expensive slow apparatus. >> It's like building the Linux kernel when all you need is an application. >> Yeah. >> And the developer requirements are high. >> Yeah, yeah. >> As well as the overhead involved, and cost. >> Yeah. You're trying to use a construction vehicle to run your groceries, or something. >> It's crazy. >> Just find the right tool. >> What are some of the things that you could share for folks watching, either entrepreneur, developer, or business executive, that says "Hey, you know what? I want to learn more." Obviously, there's some good trends going on. The trend is your friend. You see cloud computing horizontally scalable, fully synchronous platforms. You got open source rising at a whole 'nother level, really good things going on there. Now you enter blockchain decentralized applications. What's the areas that people should focus on to go to that next level? Whether it's a toe in the water or just to jump in and get going. >> There's several things to unpack in that question. First, I think if you are interested in what blockchain technology actually is you should really study bitcoin 'cause that's really the first place it came and I would argue the only place that it actually is decentralized. Everything else has some single point of failure and most of it is not really decentralized. The other thing is, there are aspects of blockchain technology that are very interesting that you could totally utilize for your own thing. Like public key cryptography. I was talking to a startup, yesterday. They were saying, "We're going to use the blockchain to do something to optimize this part." I was like, "Why don't you just use receipts that are signed? 'Cause I think that's all you need." And they were like, "We never thought about that. We've never heard of these receipts! What the hell are receipts?" Well, they've been around for thousands of years, You could have them signed with a public key-- a private key-- and you can verify with a public key. There are all sorts of things that have been around for thirty years that you could utilize but they just don't realize that it's there. And blockchain is sort of a way to bring in into the conversation. >> Jimmy, talk about the ICO craze. Obviously, one of the things that I think is important is that when you look at these new waves of change, efficiencies are key, right? Inefficiencies get abstracted away with abstraction layers and what we see with blockchain is early indicators of where we think it might go. It takes an inefficiency and makes it efficient. No one control, maybe some democratization thrown in there. I don't see venture capital private financing-- >> Mmhmm (affirmative) >> seems to be inefficient with all the ICOs, it's like, a lot fundraising going on with ICOs. What's your take on ICOs? Good, bad, ugly, at the moment? Legit? >> I think ICOs are a broken business model. Completely broken business model. You're funding something-- you're funding a restaurant, you're selling seats to a restaurant before the building's built. Right? Or you have a menu, or anything. And the whole thing about an ICO is you have to design the incentives, there's a blockchain, most of them, right? And you have to design the incentives at the beginning and it can't ever be wrong. If it's broken in any sense, then you can't pivot! Most startups, you fund them, you believe in the people, and you go, okay, well, if it doesn't work, at least we invested in smart people that could pivot they could do something else. You can't do that with an ICO. And right now, my take on it is, the reason that they're getting funded is there's a big public demand for asymmetric payoffs. That's why lotteries are popular. But the government no longer has more or less a monopoly on lotteries. You have ICOs and things of that nature so, I don't know. I just don't see them as being a legit business model or that many good things coming out of it because they are, more or less, kickstarters where the people that are delivering don't have to deliver anything to take the money. >> It sounds like a great thing if you want free cash. It's not a business model, I agree. Is it a mechanism? Do they hang around? Does it morph? Or does it just completely go away in your mind? >> I was talking more about utility tokens. I think security tokens might have a place, so if you already have a business and you want to securitize it, sort of outside that investment banking infrastructure, that might make sense. You have efficient distribution mechanism for dividends or something like that and preferred shares, whatever. That could be useful and it does sort of take out some middle-men. But as far as ICOs as they're currently construed as a way to raise money, not really. >> Jimmy, I want to ask you: we've seen three kinds of companies in the ICO space. Startups selling seats to a restaurant that doesn't exist, yet. Not going to last long. Okay, put that aside. And then, the Hail Mary play. "Shit, we're going out business!" It used to be open source, now let's do an ICO. So, we got to guess and throw money at the wall-- we do a Hail Mary. >> Uh huh (affirmative) And then the middle one is growth opportunities. Some companies that say "Hey, you know what? We have a decentralized-- we might have token economics built into our model. We could actually turn this into a growth strategy for our business-- both business model and technology platform. For those companies, what does that picture look like and what is your recommendation for someone, entrepreneurial or techie, to take their business and create a growth strategy, both CTO, CEO-level approach? What's your view? >> I've actually heard a term of exactly what you're describing and it's called the reverse ICO. And it's these companies that exist that can't raise any funding so they use an ICO to raise money. I actually don't know how that's going to shake out or whether or not it's recommended 'cause we really haven't seen much of it, yet. >> It's a pivot. >> It's a pivot and a way to get money that's in a cheap way. I don't know how long it lasts. >> Well, legit growth company-- say, self-funding or done some V.C. Say some guy's going, "Hey, we want to grow. We have traction. We're an existing business. And I have some databases. I might want to open it up and do token economics or apply blockchain if available." What should they do? What's the vision of how a growth strategy-- a real growth strategy can be built? >> Man, I wish I could answer that question, 'cause I might try it! >> I know, that's why I'm asking. It's the million-zillion-dollar-question. >> It's really difficult to know and I encourage entrepreneurs to experiment in this area and obviously if you were doing unethical I wouldn't recommend it at all but if there's a real way that you can do it without screwing up, screwing your investors or your users or your employees, then by all means, try it! But I'm not going to tell you that something's going to be successful. I really don't know. >> Jimmy, thanks for spending the time, I know you're super busy. I know your voice is going-- you've been on panels. You've been doing a lot of networking, meeting a lot of folks. Thanks for spending time here on the Cube. I really appreciate it. >> Thank you so much, it was a lot of fun. >> We're here on the ground in New York City for Blockchain Week. This is Consensus 2018, Silicon Angle the Cube Coverage. I'm John Furrier, thanks for watching more coverage here at thecube.net (music)

>>que presents on the ground. Wait. >>Hi. I'm Lisa Martin with the Cube, and we're on the ground at the Computer History Museum in Silicon Valley with the Association for Corporate Earth or a CG. Tonight is a CG 12th annual Growth Awards, and we're very fortunate to be joined by one of the longest sponsors of a CG Deloitte Gary Herbert from Delight. Welcome to the Cube. >>Thank you so much. >>So not only is a long time sponsor base did you get through the second biggest with the presumably a lot of options that Dylan has a sponsor and engage in communities like that. What next? A CG unique and warrant Deloitte sponsorship and active participation >>Delights been involved with a CG for over 10 years. And the reason is they collect a great group of senior leaders in Silicon Valley to talk about things that are really important. And a lot of great networks air here and make great things happen in the community. >>Excellent. And you can hear and feel the buzz of the innovation and the history of veterans in the room. We're here tonight to honor men who won the 2016 outstanding growth award, as well as Ambarella, who won the 2016 Emerging Growth Award in terms of the metrics used to select the winners, can you give us a little insight into what those metrics are and what this metrics and key criteria really mean for these types of award winners? >>One of the key metrics that we look at his revenue growth and Fitbit has had an incredible run over the last five years. But what's particularly amazing about Fitbit is they've been doing it very profitably, so it's really been a great testament to that. You can grow and grow in a profitable matter. >>And as we look at the next 2 to 3 years, in your perspective, what are some of the market drivers that you're going to see really influencing the fifth Mrs Your predictions there expect >>Fitbits and continue to be very successful. They've really done a great job from an execution perspective. They got great products and they define their brand. It's not just a just a tracker of steps. It is really a wellness brand. And that's why I think they're gonna continue to be successful. >>Same question for Amarillo in terms of emerging growth where some of the market drivers over the next two years, Amarilla will face. What are your >>predictions for them with Amber? I mean, since they're in the chip business, they they place themselves or have been very successful with getting successful with successful products, and that'll help their continued growth as well. Excellent. And >>what that said, Tell us what's next for Deloitte. >>Deloitte and we're diversified. Professional service is firm. I mean, people think of Deloitte as part of the Big Four, which is people think of audit Tax, I think people don't know is we're also actually were a consulting firm and an advisory firm. In fact, that makes up more than half of our revenues here. Look excellent. >>As we look forward to the future, we know tonight think that an emerald are in some great company with past winners. Lengthen Trulia Gopro What? Your predictions >>for the next class of candidates for 2017 grow awards. That's what's really exciting about this is you don't know who's successful. Companies are. If you told me three years ago is gonna be here today, I wouldn't have necessarily thought that. Um So what's exciting about this is you get to see what is next and who's who's being successful. And it really gets to celebrate the growth of those companies. Absolutely great closing to celebrate, not just the growth of these companies tonight fit, but an amber alert that we're here to celebrate, but >>also all of the >>leadership and expertise and sponsorship that we have here in Silicon Valley. Garrett, thank you so much for taking time to join us. It was a pleasure having you on the Cube. Thank you so much, Lisa. And with that said, Thank you for watching the Cube. I'm your host, Lisa Martin, and we'll see you next time.