David Shacochis, Lumen | AWS re:Invent 2022
(upbeat music) >> Hello, friends. Welcome back to The Cube's live coverage of AWS re:Invent 2022. We're in Vegas. Lovely Las Vegas. Beautiful outside, although I have only seen outside today once, but very excited to be at re:Invent. We're hearing between 50,000 and 70,000 attendees and it's insane, but people are ready to be back. This morning's keynote by CEO Adam Selipsky was full of great messages, big focus on data, customers, partners, the ecosystem. So excited. And I'm very pleased to welcome back one of our alumni to the program, David Shacochis, VP Enterprise Portfolio Strategy Product Management at Lumen. David, welcome back. >> Lisa, good to be here. The Five Timers Club. >> You are in the Five Timers Club. This is David's fifth appearance on the show. And we were talking before we went live- >> Do we do the jacket now and do we do the jacket later? >> Yeah, the jacket will come later. >> Okay. >> The Five Timers Club, like on SNL. We're going to have that for The Cube. We'll get you measured up and get that all fitted for you. >> That'd be better. >> So talk a little bit about Lumen. 'Cause last time you hear it wasn't Lumen. >> We weren't Lumen last time. So this is the first time... last time we were here on The Cube at re:Invent. This was probably 2019 or so. We were a different company. The company was called CenturyLink back then. We rebranded in 2020 to really represent our identity as a delivery of...as a solutions provider over our fiber network. So Lumen is the corporate brand, the company name. It represents basically a lot of the fiber that's been laid throughout the world and in North America and in enterprise metropolitan areas over the past 10 to 15 years. You know, companies like CenturyLink and Quest and Level 3, all those companies have really rolled up into building that core asset of the network. So Lumen is really the brand for the 21st century for the company, really focused on delivering services for the enterprise and then delivering a lot of value added services around that core network asset. >> So rebranding during the pandemic, what's been the customer feedback and sentiment? >> Yeah, I think customers have really actually appreciated it as certainly a more technology oriented brand, right? Sort of shifting away a little bit from some of the communications and telecom background of the company and the heritage. And while those assets that were built up during that period of time have been substantial, and we still build off of those assets going forward, really what a lot of the customer feedback has been is that it puts us in a posture to be a little bit more of a business solutions provider for customers, right? So there's a lot of things that we can do with that core network asset, the fiber networking a lot of the services that we launch on that in terms of public IP, you know, public internet capacity, private networking, private VPNs, VoIP and voice services. These are services that you'd expect from a company like that. But there's a lot of services inside the Lumen brand that you might surprise you, right? There's an edge computing capability that can deliver five milliseconds of latency within 95% of North American enterprise. >> Wow. >> There's a threat detection lab that goes and takes all of the traffic flowing over the public side of our network and analyzes it in a data lake and turns it into threat intelligence that we then offer off to our customers on a subscription basis. There's a production house that goes and, you know, does production networking for major sports arenas and sports events. There's a wide range of services inside of Lumen that really what the Lumen brand allows us to do is start talking about what those services can do and what networking can do for our customers in the enterprise in a more comprehensive way. >> So good changes, big brand changes for Lumen in the last couple of years. Also, I mean, during a time of such turmoil in the world, we've seen work change dramatically. You know, everybody...companies had to pivot massively quickly a couple years ago. >> Yep. >> Almost approaching three years ago, which is crazy amazing to be digital because they had to be able to survive. >> They did >> Now they're looking at being able to thrive, but now we're also in this hybrid work environment. The future of work has changed. >> Totally. >> Almost permanently. >> Yep. >> How is Lumen positioned to address some of the permanent changes to the work environments? Like the last time we were at re:Invented- >> Yeah. >> In person. This didn't exist. >> That's right. So really, it's one of the things we talk to our customers almost the most about is this idea of the future of work. And, you know, we really think about the future of work as about, you know, workers and workloads and the networks that connect them. You think about how much all of those demands are shifting and changing, right? What we were talking about, and it's very easy for all of us to conceptualize what the changing face of the worker looks like, whether those are knowledge workers or frontline workers the venues in which people are working the environments and that connectivity, predictability of those work desk environments changes so significantly. But workloads are changing and, you know we're sitting here at a trade show that does nothing but celebrate the transformation of workloads. Workloads running in ways in business logic and capturing of data and analysis of data. The changing methodologies and the changing formats of workloads, and then the changing venues for workloads. So workloads are running in places that never used to be data centers before. Workloads are running in interesting places and in different and challenging locations for what didn't used to be the data center. And so, you know, the workloads and the workloads are in a very dynamic situation. And the networks that connect them have to be dynamic, and they have to be flexible. And that's really why a lot of what Lumen invests in is working on the networks that connect workers and workloads both from a visibility and a managed services perspective to make sure that we're removing blind spots and then removing potential choke points and capacity issues, but then also being adaptable and dynamic enough to be able to go and reconfigure that network to reach all of the different places that, you know, workers and workloads are going to evolve into. What you'll find in a lot of cases, you know, the workers...a common scenario in the enterprise. A 500 person company with, you know, five offices and maybe one major facility. You know, that's now a 505 office company. >> Right. >> Right? The challenge of the network and the challenge of connecting workers and workloads is really one of the main conversations we have with our customers heading into this 21st century. >> What are some of the things that they're looking forward to in terms of embracing the future of work knowing this is probably how it's going to remain? >> Yeah, I think companies are really starting to experiment carefully and start to think about what they can do and certainly think about what they can do in the cloud with things like what the AWS platform allows them to do with some of the AWS abstractions and the AWS services allow them to start writing software for, and they're starting to really carefully, but very creatively and reach out into their you know, their base of enterprise data, their base of enterprise value to start running some experiments. We actually had a really interesting example of that in a session that Lumen shared here at re:Invent yesterday. You know, for the few hundred people that were there. You know, I think we got a lot of great feedback. It was really interesting session about the...really gets at this issue of the future of work and the changing ways that people are working. It actually was a really cool use case we worked on with Major League Baseball, Fox Sports, and AWS with the... using the Lumen network to essentially virtualize the production truck. Right? So you've all heard that, you know, the sports metaphor of, you know, the folks in the booth were sitting there started looking down and they're saying, oh great job by the guys or the gals in the truck. >> Yep. >> Right? That are, you know, that bring in that replay or great camera angle. They're always talking about the team and their production truck. Well, that production truck is literally a truck sitting outside the stadium. >> Yep. >> Full of electronics and software and gear. We were able to go and for a Major League Baseball game in...back in August, we were able to go and work with AWS, using the Lumen network, working with our partners and our customers at Fox Sports and virtualize all of that gear inside the truck. >> Wow. That's outstanding. >> Yep. So it was a live game. You know, they simulcast it, right? So, you know, we did our part of the broadcast and many hundreds of people, you know, saw that live broadcast was the first time they tried doing it. But, you know, to your point, what are enterprises doing? They're really starting to experiment, sort to push the envelope, right? They're kind of running things in new ways, you know, obviously hedging their bets, right? And sort of moving their way and sort of blue-green testing their way into the future by trying things out. But, you know, this is a massive revenue opportunity for a Major League Baseball game. You know, a premier, you know, Sunday night baseball contest between the Yankees and the Cardinals. We were able to go and take the entire truck, virtualize it down to a small rack of connectivity gear. Basically have that production network run over redundant fiber paths on the Lumen network up into AWS. And AWS is where all that software worked. The technical director of the show sitting in his office in North Carolina. >> Wow. >> The sound engineer is sitting in, you know, on his porch in Connecticut. Right? They were able to go and do the work of production anywhere while connected to AWS and then using the Lumen network, right? You know, the high powered capabilities of Lumens network underlay to be able to, you know, go and design a network topology and a worked topology that really wasn't possible before. >> Right. It's nice to hear, to your point, that customers are really embracing experimentation. >> Right. >> That's challenging to, obviously there was a big massive forcing function a couple of years ago where they didn't have a choice if they wanted to survive and eventually succeed and grow. >> Yeah. >> But the mindset of experimentation requires cultural change and that's a hard thing to do especially for I would think legacy organizations like Major League Baseball, but it sounds like they have the appetite. >> Yeah. They have the interest. >> They've been a fairly innovative organization for some time. But, you know, you're right. That idea of experimenting and that idea of trying out new things. Many people have observed, right? It's that forcing function of the pandemic that really drove a lot of organizations to go and make a lot of moves really quickly. And then they realized, oh, wait a minute. You know... I guess there's some sort of storytelling metaphor in there at some point of people realizing, oh wait, I can swim in these waters, right? I can do this. And so now they're starting to experiment and push the envelope even more using platforms like AWS, but then using a lot of the folks in the AWS partner network like Lumen, who are designing and sort of similarly inspired to deliver, you know, on demand and virtualized and dynamic capabilities within the core of our network and then within the services that our network can and the ways that our network connects to AWS. All of that experimentation now is possible because a lot of the things you need to do to try out the experiment are things you can get on demand and you can kind of pat, you can move back, you can learn. You can try new things and you can evolve. >> Right. >> Yep. >> Right. Absolutely. What are some of the things that you're excited about as, you know, here was this forcing function a couple years ago, we're coming out of that now, but the world has changed. The future of work as you are so brilliantly articulated has changed permanently. What are you excited about in terms of Lumen and AWS going forward? As we saw a lot of announcements this morning, big focus on data, vision of AWS is really that flywheel with Adams Selipsky is really, really going. What are you excited about going forward into 2023? >> Yeah, I mean we've been working with AWS for so long and have been critical partners for so long that, you know, I think a lot of it is continuation of a lot of the great work we've been doing. We've been investing in our own capabilities around the AWS partner network. You know, we're actually in a fairly unique position, you know, and we like to think that we're that unique position around the future of work where between workers, workloads and the networks that connect them. Our fingers are on a lot of those pulse points, right? Our fingers are on at really at the nexus of a lot of those dynamics. And our investment with AWS even puts us even more so in a position to go where a lot of the workloads are being transformed, right? So that's why, you know, we've invested in being one of the few network operators that is in the AWS partner network at the advanced tier that have the managed services competency, that have the migration competency and the network competency. You can count on one hand the number of network operators that have actually invested at that level with AWS. And there's an even smaller number that is, you know, based here in the United States. So, you know, I think that investment with AWS, investment in their partner programs and then investment co-innovation with AWS on things like that MLB use case really puts us in a position to keep on doing these kinds of things within the AWS partner network. And that's one of the biggest things we could possibly be excited about. >> So what does the go to market look like? Is it Lumen goes in, brings in AWS, vice versa? Both? >> Yeah, so a lot of being a member of the AWS partner network you have a lot of flexibility. You know, we have a lot of customers that are, you know, directly working with AWS. We have a lot of customers that would basically look to us to deliver the solution and, you know, and buy it all as a complete turnkey capability. So we have customers that do both. We have customers that, you know, just look to Lumen for the Lumen adjacent services and then pay, you know, pay a separate bill with AWS. So there's a lot of flexibility in the partner network in terms of what Lumen can deliver as a service, Lumen can deliver as a complete solution and then what parts of its with AWS and their platform factors into on an on-demand usage basis. >> And that would all be determined I imagine by what the customer really needs in their environment? >> Yeah, and sort of their own cloud strategy. There's a lot of customers who are all in on AWS and are really trying to driving and innovating and using some of the higher level services inside the AWS platform. And then there are customers who kind of looked at AWS as one of a few cloud platforms that they want to work with. The Lumen network is compatible and connected to all of them and our services teams are, you know, have the ability to go and let customers sort of take on whatever cloud posture they need. But if they are all in on AWS, there's, you know. Not many networks better to be on than Lumen in order to enable that. >> With that said, last question for you is if you had a bumper sticker or a billboard. Lumen's rebranded since we last saw you. What would that tagline or that phrase of impact be on that bumper sticker? >> Yeah, I'd get in a lot of trouble with our marketing team if I didn't give the actual bumper sticker for the company. But we really think of ourselves as the platform for amazing things. The fourth industrial revolution, everything going on in terms of the future of work, in terms of the future of industrial innovation, in terms of all the data that's being gathered. You know, Adam in the keynote this morning really went into a lot of detail on, you know, the depth of data and the mystery of data and how to harness it all and wrangle it all. It requires a lot of networking and a lot of connectivity. You know, for us to acquire, analyze and act on all that data and Lumen's platform for amazing things really helps forge that path forward to that fourth industrial revolution along with great partners like AWS. >> Outstanding. David, it's been such a pleasure having you back on The Cube. We'll get you fitted for that five timers club jacket. >> It sounds good. (Lisa laughs) >> I'll be back. >> Thanks so much for your insights and your time and well done with what you guys are doing at Lumen and AWS. >> Thanks Lisa. >> For David Shacochis, I'm Lisa Martin. You've been watching The Cube hopefully all day. This is our first full day of coverage at AWS re:Invent '22. Stick around. We'll be back tomorrow, and we know we're going to see you then. Have a great night. (upbeat music)
SUMMARY :
partners, the ecosystem. Lisa, good to be here. You are in the Five Timers Club. We're going to have that for The Cube. 'Cause last time you hear it wasn't Lumen. over the past 10 to 15 years. a lot of the services and takes all of the traffic for Lumen in the last couple of years. because they had to be able to survive. The future of work has changed. This didn't exist. of the different places that, you know, of the main conversations we have the sports metaphor of, you know, about the team and their production truck. gear inside the truck. Wow. of the broadcast and many to be able to, you know, It's nice to hear, to your point, a couple of years ago where But the mindset of experimentation They have the interest. because a lot of the things The future of work as you are and the networks that connect them. of the AWS partner network have the ability to go and be on that bumper sticker? into a lot of detail on, you know, We'll get you fitted for It sounds good. and well done with what you guys are doing and we know we're going to see you then.
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Tom Anderson, Red Hat | AnsibleFest 2022
>>Good morning, everyone from Chicago Live. The Cube is live at Ansible Fast 2022. Lisa Martin and John Ferer are here for two days of multiple coverage on the cube. Very excited to be back in person. Ansible's 10th anniversary, the first in-person event. John, since 2019. Yeah, great to be perfect. One of the nuggets dropped this morning and I know you was Opss code. >>Yeah, we're gonna hear about that OPSIS code here in this segment. We're gonna get in, but the leader of the, the business unit at Ansible, part of Red Hat. So look forward >>To this. Exactly. Tom Anderson joins us, one of our alumni. Welcome back to the program. Thank you. The VP and general manager of Red Hat. First of all, how great is it to be back in person with live guests and an engaged audience and then robust community? >>It is amazing. It really is. I kind of question whether this day was ever gonna come again after three years of being apart, but to see the crowd here and to see, like you said, the energy in the room this morning and the keynotes, it's fantastic. So it's fa I just couldn't be happier. >>So opsis code nugget drop this morning. Yep. We wanna dissect that with you as, as that was mentioned in the keynote this morning. As Ansible is pushing into the cloud and and into the edge, what does OPSIS code mean for end users and how is it gonna help them to use a term that was used a lot in the keynote level up their automation? >>Yeah, so what we see is, look, the day zero, day one provisioning of infrastructure. There's lots of tools, there's lots of ways to do that. Again, it's just the company's ambition and dedication to doing it. The tools are there, they can do that. We see the next big opportunity for automation is in day two operations. And what's happening right now in ops is that you have multiple clouds, you've got multiple data centers and now you've got edge environments. The number of things to manage on a day-to-day basis is only increasing. The complexity is only increasing this idea of a couple years ago where we're gonna do shift everything left onto the developer. It's nice idea, but you still have to operate these environments on a day two basis. So we see this opportunity as opsis code, just like we did infrastructures code, just like we did configuration as code. We see the next frontier as operations code. >>Yeah, and this is really a big trend as you know with cube reporting a lot on the cloud native velocity of the modern application developer these days, they're under, they're, it's a great time to be a software developer because all the open source goodness is happening, but they're going faster. They want self-service, they want it built in secure, They need guardrails, they need, they need faster ops. So that seems to be the pressure point. Is ops as code going to be that solution? Because you have a lot of people talking about multi-cloud, multiple environments, which sounds great on paper, but when you try to execute it, Yeah, there's complexity. So you know, the goal of complexity management has really been one of the key things around ops. How do I keep speed up and how do I reduce the complexities? These are big. How does, how does ops code fit into that? >>Yeah, so look, we, we see Ansible as this common automation back plane, if you will, that goes across all of these environments. It provides a common abstraction layer so that whether you're running on Azure, whether you're a GCP or whether you're AWS or whether you're, you know, a PLC out on a shop industrial edge floor with a plc, each of those things need to be automated. If we can abstract that into a common automation language, then that allows these domain experts to be able to offer their services to developers in a way that promotes the acceleration, if you will, of those developers tasks. And that developer doesn't have to know about the underlying complexities of storage or database or cloud or edge. They can just do their >>Job. You know, Tom, one of the things I observed in Keynote, and it comes across every time I, we have an event and in person it's more amplified. Cause you see it, the loyalty of the customer base. You have great community. It's very not corporate like here. It's very no big flashy news. But there's some news, hard news, It's very community driven. Check the box there. So continuing on the roots, I wanna get your thoughts on how now the modern era we're in, in this world, the purchasing power, again, I mentioned multicloud looks good on paper, which every CX I wanna be multiple clouds. I want choice now. Now you talk to the people running things like, whoa, hold on, boss. Yeah, the bottoms up is big part of the selection process of how people select and buying consume technology with open source, you don't need to like do a full buy. You can use open source and then get Ansible. Yeah. This is gonna be a big part of how the future of buying product is and implementing it. So I think it's gonna be a groundswell, bottoms up market in this new cloud native with O in the ops world. What's your reaction to that? What's your thoughts? >>So here, here's my thoughts. The bulk of the people here are practitioners. They love Ansible, they use Ansible in their day to day job. It's how it helped, makes 'em successful. Almost every executive that I go out and talk to and our customers, they tell me one of their number one pro or their number one problem is attracting you talent and retaining the talent that they have. And so how can they do that? They can give them the tools to do their job, the tools that they actually like. So not a top down, you know, old fashioned systems management. You're gonna use this tool whether you like it or not. But that bottoms up swell of people adopting open source tools like Ansible to do their job and enjoy it. So I see it as a way of the bottoms up addressing the top down initiative of the organization, which is skills retention, skills enhancement. And that's what we focus on here at this event. Are the practitioners, >>Is that the biggest customer conversation topic these days? Is this the skills gap, retention, attraction talent? Would you say it's more expansive as the organizations are so different? >>Well, so a lot of the folks that I meet are, you know, maybe not sea level, but they're executives in the organization, right? So they're struggling with attract, you know, pretty much everywhere I go, I was in Europe this summer, conversation was always the same. We got two problems. Tracking people. We can't find people, people we find we can't afford. So we need to automate what they would do. And, and then the second piece is the complexity of our environment is growing, right? I'm being asked to do more and I can't find more people to do it. What's my solution? It's automation, you know, at the end of the day, that's what it comes down to. >>It's interesting, the people who are gonna be involved in the scaling horizontally with automation are gonna have the keys to the kingdom. The old joke when it was, you know, they run everything. They power the business now the business is digital. You gotta be hybrid. So we see hybrids a steady state right now, hybrid cloud. When you bring the edge into the equation, how do you see that developing? Because we think it's gonna be continually be hybrid and that's gonna extend out on the edge. What is the ansible's view on how the edge evolves? What's, what's going on there? Can you share your thoughts on the expansion to the edge? >>There's a, our experience is there's a rapid modernization happening out at the edge, industrial edge, you know, oil and gas platforms, retail locations, industrial floors, all that kind of stuff. We see this convergence of OT and IT happening right now where some of the disciplines that enterprises have used in the IT area are gonna expand out into ot. But some of the requirements of ot of not having skilled IT resources, you know, in the store, in the fast food restaurant, on the oil platform, needing to have the tools to be able to automate those changes remotely. We're seeing a real acceleration of that right now. And frankly, Ansible's playing a big role in that. And it's connecting a lot of the connective tissue is around network. What is the key piece that connects all of this environment as network and those number of endpoints that need to be managed. Ansible is, you know, >>It's way use case for Ansible because Ansible built their business on configuration automation, which was don't send someone out to that branch office back in the old days. Exactly. Do it. Manual versus automation. Hey, automation every time. Yes. This is at large scale. I mean the scale magnitude, can you scope the scale of what's different? I mean go even go back 10 years, okay, where we were and how we got here, where we are today. Scope the size of the scale that's happening here. >>You know, hundreds of thousands of endpoints and things. That's not even the API points, but that's the kind of compute points, the network points, the servers it's in. It's, it's, you know what we would've never thought, you know, 10 years ago, a thousand endpoints was a lot or 10,000 endpoints was a lot of things to manage when you start talking about network devices. Yeah, yeah. Home network devices for employees that are remote employees that need to be in a secured network. Just the order of magnitude, maybe two orders of magnitude larger than it has been in the past. And so again, coming home to the automation world, >>The world's spun in your front, your front door right now. >>Yeah, yeah, yeah, >>Absolutely. Talk about, you talked about the acceleration. If we think of about the proliferation of, of devices online, especially the last two years, when, to your point, so many people shifted to remote and are still there. What are some of the, the changes in automation that we've seen as businesses have had to pivot and change so frequently and so many times to be successful? >>Yeah, so here's what we've seen, which is it's no longer acceptable for the owner of the network team or the ownership of the database or of the storage facility to, you can't wait for them to offer their service to people. Self-service is now the rule of thumb, right? So how can those infrastructure owners be able to offer their services to non IT people in a way that manages their compliance and makes them feel that they can get those resources without having to come and ask. And they do that by automating with Ansible and then offering those as package services out to their developers, to their QE teams, to their end users, to be able to consume and subscribe to that infrastructure knowing that they are the ones who are controlling how it's being provisioned, how it's being used. >>What are some of the, there were some great customers mentioned this morning in the keynote, but do you have a favorite example of a customer, regardless of industry that you think really shows the value and, and the evolution of the Ansible platform in its first 10 years and that really articulates the business value that automation delivers to a company? >>Yeah, no, it's a great question. I would think that, you know, if you wound the clock back 10 years, Ansible was all about server configuration management, right? That's what it was about was per provisioning, provisioning, you know, VMware infrastructure, vSphere, and then loading on VMs on top of that as it's expanded into network, into security and to storage and to database into cloud. It's become a much broader platform, if you will. And a good example is we have a customer, large oil and gas customer who is modernizing their oil platforms. I can imagine I not, I've not been on one, but I imagine the people that are out working on that oil platforms have greasy hands that are pushing on things. And they had this platform that the technology modernization included Azure. So connecting to data on Azure, rolling out new application updates, has to have a firewall, has to have network capabilities, has to have underlying OS to be able to do that. And Ansible was the glue that brought all that together to be able to modernize that oil platform. And so for me, that's the kind of thing where it sort of makes it real. You know, the actual businesses, >>The common set of services, this is, this is where we're seeing multi-cloud. Yeah. You start to have that conversation where, okay, I got this edge, it kind of looks the same, I gotta make it work. I'm a developer, I want some compute, I want to put this together. I have containers and orchestration behind it and kind of seeing the same kind of pattern. Yeah. Evolving at scale. So you guys have the platform, okay, I'm an open source. I love the open source. I got the platform 2.3, I see supply chain management in there. You got trusted signatures. That's a supply chain. We've been hearing a lot about security in the code. What else is in the platform that's updated? Can you share the, the, the new things that people should pay attention to in the platform? >>Yeah, we're gonna talk about a couple of things smaller around event driven Ansible, which is bringing Ansible into that really day two ops world where it's sort of hands free automation and, and, and operations where rather than someone pushing a button to trigger or initiate a piece of, of automation, an event will take place. I've detected an outta space condition, I've detected a security violation, I've detected something. Go to a rule book. That rule book will kick off in automation close that remediate that problem and close the thing without anyone ever having to do anything with that. So that's kind of one big area. And we're gonna talk tomorrow. We've got a real special announcement tomorrow with our friends from IBM research that I'm gonna, >>We'll have you on 10 30 Martha Calendars. >>But there's some really great stuff going on on the platform as we start to expand these use cases in multiple directions and how we take Ansible out to more and more people, automation out to more and more people from the inside, experts out to the consumers of automation, make it easier to create automation. >>Yeah. And one of the things I wanted to follow up on that and the skill gap, tying that together is you seeing heard in the keynote today around Stephanie was talking about enterprise architecture. It's not, I won't say corner case answer. I mean it's not one niche or narrow focus. Expanding the scope was mentioned by Katie, expand your scope grow, you got a lot of openings. People are hire now, Now Ansible is part of the enterprise architecture. It's not just one thing, it's, it's a complete, Explain what that means for the folks out there. Yeah. >>So when you start to connect what I call the technology domains, so the network team uses Ansible to automate their network infrastructure and configure all their systems. And the compute team uses it to deploy new servers on aws. And the security ops team use it to go out and gather facts when they have a threat detection happening and the storage team is using it to provision storage. When you start to then say, Okay, we have all these different domains and we want to connect those together into a set of workflows that goes across all of those domains. You have this common language and we're saying, okay, so it's not just the language, it's also the underlying platform that has to be scalable. It's gotta be secure. We talked about signing content. I mean, people don't understand the risk of an automation gone wild. You can, you can do a lot of damage to your infrastructure real fast with automation, just like you can do repair, right? So is what's running in my environment secure? Is it performant and is it scalable? I mean, those are the two, those are the three areas that we're really looking at with the platform right >>Now. Automation gone wild, it sounds like the next reality TV show. Yeah, I >>May, I may regret saying that. >>Sounds >>Like great. Especially on live tv. Great, >>Great podcast title right there. I made a mental note. Automation Gone Wild episode one. Here we are >>Talk about Ansible as is really being the, the catalyst to allow organizations to truly democratize automation. Okay. You, you talked about the different domains there and it seems to me like it's, it's positioned to really be the catalyst that's the driver of that democratization, which is where a lot of people wanna get to. >>Yeah. I mean for us, and you'll see in our sessions at Ansible Fest, we talk a lot about the culture, the culture of automation, right? And saying, okay, how do you include more and more people in your organization in this process? How can you get them to participate? So we talk about these ideas of communities of practice. So we bring the open source, the concepts of open source communities down into enterprises to build their own internal communities of practice around Ansible, where they're sharing best practices, skills, reusable content. That is one of the kind of key factors that we see as a success in inside organizations is the scales, is sort of bringing everybody into that culture of automation and not being afraid of automation saying, Look, it's not gonna take my job, it's gonna help me do my job better. >>Exactly. That automation argument always went, went to me crazy. Oh yeah, automating is gonna take my job away. You know, bank teller example, there's more bank tellers now than ever before. More atm. So the, the job shifts, I mean the value shifts. Yeah. This is kind of where the, where the automation helps. What's real quick, final minute we have left. Where does that value shift? I'm the person being automated away or job. Yeah. Where do you see the value job? Cause it's still tons of openings for people's skills, >>You know? So we see the shift from, particularly in operations from, here's my job, I look at a ticket queue, I grab a ticket, it's got a problem, I go look at a log, I look for a string and a log, I find out the air and I go, configuration change that. That's not a really, I wouldn't call that a fund existence for eight or 10 hours a day, but the idea, if I can use automation to do that for me and then focus on innovating, creating new capabilities in my environment, then you start to attract a new, you know, the next generation of operations people into a much more exciting role. >>Yeah. Architects too, they turned into architects that turned into the multiple jobs scope. It's like multi-tool player. It's like >>A, you know, Yeah, yeah. The five tool player, >>Five tool player in baseball is the best of the best. But, but kind of that's what's >>Happening. That's exactly what's happening, right? That's exactly what's happening. And it helps address that skills challenge. Yeah. And the talent challenge that organizations have as well. >>And everybody wants to be able to focus on delivering value to the organization. I have to get the end of the day. That's a human component that we all want. So it sounds like Ansible is well on its way to helping more and more organizations across industries achieve just that. Tom, it's great to have you back on the program. Sounds like you're coming back tomorrow, so we get day two of Tom. All right, excellent. Look forward to it. Congratulations on the first in-person event in three years and we look forward to talking to you >>Tomorrow. Thank you so much. >>All right, for our guests and John Furrier, I'm Lisa Martin. You're watching The Cube Live from Chicago, Day one of our coverage of Ansible Fest 2022. Stick around. John and I welcome back another Cube alumni next.
SUMMARY :
One of the nuggets dropped this morning and I know you was We're gonna get in, but the leader of the, First of all, how great is it to be back in person with years of being apart, but to see the crowd here and to see, like you said, the energy in the room this morning and the keynotes, As Ansible is pushing into the cloud and and into the edge, We see the next big opportunity So you know, the goal of complexity management has really been one of the acceleration, if you will, of those developers tasks. This is gonna be a big part of how the future of buying product The bulk of the people here are practitioners. Well, so a lot of the folks that I meet are, you know, maybe not sea level, are gonna have the keys to the kingdom. What is the key piece that connects all of this environment as network and those number of endpoints that need to be I mean the scale magnitude, can you scope the scale of what's different? points, but that's the kind of compute points, the network points, the servers it's in. of devices online, especially the last two years, when, to your point, so many people shifted to remote of the network team or the ownership of the database or of the storage facility to, And so for me, that's the kind of thing where it sort of makes it real. So you guys have the platform, okay, I'm an open source. ever having to do anything with that. experts out to the consumers of automation, make it easier to create automation. People are hire now, Now Ansible is part of the enterprise architecture. And the security ops team use it to go out and gather facts when they have a threat detection Yeah, I Especially on live tv. I made a mental note. that's the driver of that democratization, which is where a lot of people wanna get to. That is one of the kind of key factors that we see as a success I mean the value shifts. I go look at a log, I look for a string and a log, I find out the air and I go, It's like multi-tool player. A, you know, Yeah, yeah. But, but kind of that's what's And the talent challenge that organizations have as well. Tom, it's great to have you back on the program. Thank you so much. Day one of our coverage of Ansible Fest 2022.
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Raj Rajkotia, LootMogul | Monaco Crypto Summit 2022
>>Hello, welcome back to the cubes coverage of Monaco, crypto summit presented by digital bits. It's a conference where a lot of the people using digital bits and the industry coming together around the future of crypto in the applicates got a great guest garage, rod cot, founder, and CEO of an innovative company. Love this co I love this company, Luke mogul, Rob, thanks for coming on the queue. Appreciate it. Oh, >>Thank you for having >>Us. Yeah. So I checked out what you guys are doing. You've got the sports metaverse angle going on with super valuable, cuz sports is super entertaining. Uh, people are engaged. There's huge fan base, huge online now, digital convergence going on with the physical, you know, you see all kinds of sports betting going on now everything's going digital. There's a whole nother consumer experience going on with sports and the game is still the same on the, on the field or so to, or the court. That's correct. Yeah. Now it's going to digital take a minute to explain what you guys are working on. >>Yeah, so yes, we are building out a sports ERs where we are bringing athletes, whether they're NBA stars, NFL stars, w N B a many of those athletes into meows giving them the ownership of the entire, um, meows commerce along with gameplay. So that's something from our perspective, this, uh, this is something that we're focused on. We're building out stadiums. Athletes can own stadiums. Athlete can create their own training centers, media hubs. Um, and imagine Lisa, Leslie for example, is building out a woman leadership sports academy, right? We have Michael Cooper building out defensive academy. So those are all the brands. We have 174 NBA w N B stars. And, um, and we are building out this, >>The brand is the brand, is the platform that's correct. That's the trend we're seeing. And it's, it's also an extension of their reach in community. So there's, they can convert their star power and athlete with owner's approval. If they probably write it on to the contracts, he, they can imagine all the complications, but they bring that online and extend that energy and brand equity yep. To fans and social network. Yeah. >>And many of these athletes are tremendous successful in their web two careers, right? Yeah. Um, some are current athletes, some are former athletes, but they have built such a brand persona where people are following them on Instagram. For example, Carlos Boozer. He has like almost 6 million followers between Twitter and Instagram and those kind of brands are looking or how do I give back to the community? How do I engage with my community and web three? And especially with our platform, we are giving that power back to the players. >>So you guys got some big names booers on there. You mentioned Carlos Boozer. You mentioned that Lisa, Leslie others among others, Michael Cooper throw back to the old Lakers, uh, magic. Johnson's kind actually here in crypto. We just saw him in the lobbies and in dinner and the other night, um, at Nobu, um, you got a lot of NBA support. Take a take, take, even explain how you're working this angle. Uh, you got some great traction, uh, momentum. Um, you got great pedigree, riot games in your career. Uh, you kind of get the world, the tech world, the media world, as it comes together. What's the secret sauce here? Is it the NBA relationship combination of the team explained >>It's really focusing on what, uh, we are building on me was focusing on players first, right? So players are literally, we call our platform as, uh, owned by the players, made for the players. Uh, and engagement is really all done through the players, right? So that's our key sauce. And when we worked out with NBA, we, we are part of the NBA BPA acceleration program for 2022 that is funded by a six Z, uh, and, and many others. Um, and our partnership with league is very critical. So it's not only partnered with player association partnered with leagues, whether it's NBA, w N B a NFL. So those are the venues. And this becomes almost a program, especially for athletes to really generate this lifetime engagement and royalty model because some of this famous athletes really want to give back to the communities. So like for example, I use Lisa Leslie a lot, but Lisa, Leslie really wants to empower women leadership, leadership, and really help, um, women in sports, for example. Right? So those are the angles that, um, that really people are excited about. >>Well, for the people watching that might not understand some of the ins and outs of sports and, and rod, your background in your team, it's interesting. The sports teams have been on the big day to train for many, many years. You look at all the stadiums. Now they've got mobile devices, they got wifi under the chairs. They use data and technology to manage the team. Mm-hmm, <affirmative> manage the stadium and venue and operations suppliers, whatnot. And then also the fans. So you, they, they got about a decade or so experience already in the digital world. This is not new to the, to the sports world. Yeah. So you guys come to the table kind of at a good time. >>Yeah. Especially the defi of the sports, right? So there's a defi of the finance, but this is the really, uh, a, a decentralization of the sports is something that there's a lot of traction. And there are many companies that are really focusing on that. Our focus obviously is players first, right? How do we give power to the players? Uh, and those are really driving the entire engagement. And also the brands >>How's the NBA feel about this because, you know, you got the NBA and you get the team, you got the owners. I mean, the democratization of the players, which I love by the way that angle kind of brings their power. Now's the new kind of balance of power. How is the NBA handling this? What's some of the conversations you've had with the, the organization. >>Yeah. So obviously there are a lot of things that, uh, people have to be careful about, right? They have existing contracts, existing, digital media rights. Um, so that's something that, uh, we have to be very tactful when we are working with NBA and NPA, uh, on what we can say, we cannot say. So that is obviously they have a lot of existing multimillion or billion dollar contracts that they cannot void with the web because the evolution of web three, >>You know, I love, uh, riffing on the notion of contract compliance when there's major structural change happening. Remember back in baseball, back in the days before the internet, the franchise rights was geographic territory. Mm-hmm <affirmative> well, if you're the New York Yankees, you're doing great. If you're Milwaukee, you're not doing too good, but then comes the internet. That's good. That's no geography. There's no boundaries. That's good. So you're gonna have stadiums have virtual Bo. So again, how do they keep up with the contracts? Yeah. I mean, this is gonna be a fundamental issue. >>That's >>Good. Good. And I think if they don't move, the players are gonna fill that void. >>That's correct. Yeah. And especially with this, this an IL deal, right. That happened for the players, uh, especially college athletes. So we are in process of onboarding 1.5 million college athletes. Uh, and those athletes are looking for not only paying for the tuition for the colleges, but also for engagement and generating this early on, uh, >>More okay. Rod, we're gonna make a prediction here in the cube, 20, 20 we're in Monaco, all the NBA, NHL, the teams they're gonna be run by player Dows. Yeah. What do you think? A very good prediction. Yeah. Very good prediction. Yeah. I mean you, I mean, that's a joke, I'm joking aside. I mean, it's kind of connecting the dots, but you know, whether that happens or not, what this means is if this continues to go down this road, that's correct. Get the players collectively could come together. Yeah. And flip the script. >>Yeah. And that's the entire decentralization, right. So it's like the web three has really disrupted this industry as you know. Um, and, and I know your community knows that too. >>Of course, course we do. We love it. >>Something from sports perspective, we are very excited. >>Well, I love it. Love talking. Let's get to the, to the weeds here on the product, under the hood, tell about the roadmap, obviously NFTs are involved. That's kind of sexy right now. I get the digital asset model on there. Uh, but there's a lot more under the coverage. You gotta have a platform, you gotta have the big data and then ultimately align into connecting other systems together. How do you view the tech roadmap and the product roadmap? What's your vision? >>Yeah. So the, the one thing that you had to be T full, uh, as a company, whether it's LUT, mogul or any other startup, is you have to be really part of the ecosystem. So the reason why we are here at Monaco is that we obviously are looking at partnership with digital bits, um, and those kind of partnership, whether it's fourth centric, centric are very critical for the ecosystem in the community to grow. Um, and that's one thing you cannot build a, another, uh, isolated metaverse right? So that's one thing. Many companies have done it, but obviously not. >>It's a wall garden doesn't work. >>Exactly. So you have to be more open platform. So one things that we did early on in our platform, we have open APIs and SDKs where not only you as an athlete can bring in your, uh, other eCommerce or web, uh, NFTs or anything you want, but you can also bring in other real estate properties. So when we are building out this metaverse, you start with real estate, then you build out obviously stadiums and arenas and academies training academies, but then athletes can bring their, uh, web commerce, right. Where it's NFT wearables shoe line. So >>Not an ecosystem on top of Luke Mo. So you're like, I'm almost like you think about a platform as a service and a cloud computing paradigm. Yeah. Look different, not decentralized, but similarly enabling others, do the heavy lifting on their behalf. Yeah. Is that right? >>So that's correct. Yes. So we are calling ourself as the sports platform as a service, right. So we want to add the word sports because we, uh, in, in many contexts, right. When you're building metaverse, you can get distracted with them, especially we are in Los Angeles. Right. >>Can I get a luxury box for the cube and some of the metaverse islands and the stadiums you're doing? >>We, we are working >>On it. We're >>Definitely working on, especially the, uh, Los Angeles, uh, stadium. Yeah. >>Well, we're looking for some hosts, anyone out there looking for some hosts, uh, for the metaverse bring your avatar. You can host the cube, bro. Thanks for coming on the cube. Really appreciate. What's the, what's next for you guys, obviously, continuing to build momentum. You got your playful, how many people on the team what's going on, give a plug for the company. What are you looking for share with the audience, some of the, some of your goals. Yeah. >>So, uh, the main thing we're looking for is really, um, from a brand perspective, if you are looking at buying properties, this would be an amazing time to buy virtual sports stadium. Um, so we are, obviously we have 175 stadiums in roadmap right now. We started with Los Angeles. Then we are in San Francisco, New York, Qatar, Dubai. So all those sports stadiums, whether they're basketball, football, soccer are all the properties. And, uh, from a community perspective, if you want to get an early access, we are all about giving back to the community. Uh, so you can buy it at a much better presale price right now. Uh, so that's one, the second thing is that if you have any innovative ideas or a player that you want to integrate into, we have an very open platform from a community engagement perspective. If you have something unique from a land sale perspective yeah. Or the NFD perspective plug, contact us at, at Raj lumo.com. >>And I'm assuming virtual team, you in LA area where where's your home. >>So, yeah, so I live in Malibu, um, and our office is in Santa Monica. We have an office in India. Uh, we have few developers also in Europe. So, uh, and then we are team of 34 people right now >>Looking to hire some folks >>We are looking for, what >>Are you, what are you looking for? >>So, uh, we are looking for a passionate sports, uh, fanatics. >>It's a lot, not hard to find. Yeah. >><laugh> who knows how to also code. Right? So from blockchain perspective, we are, uh, chain agnostic. Uh, but obviously right now we are building on polygon, but we are chain agnostic. So if you have any blockchain development experience, uh, that's something we, we are looking for. Yeah. >>RA, thanks for coming out. Luke Mo check him out. I'm John furry with the cube here in Monaco for the mono crypto summit presented by digital bits. We got all the action, a lot of great guests going on, stay with us for more coverage. Um, John furrier, thanks for watching.
SUMMARY :
It's a conference where a lot of the people using digital bits and the industry coming together around the future of crypto in the applicates Now it's going to digital take a minute to explain what you guys are working on. So that's something from our perspective, this, uh, this is something that we're focused on. The brand is the brand, is the platform that's correct. we are giving that power back to the players. So you guys got some big names booers on there. So players are literally, we call our platform as, uh, So you guys come to the And also the brands How's the NBA feel about this because, you know, you got the NBA and you get the team, you got the owners. Um, so that's something that, uh, we have to be very tactful when we are So again, how do they keep up with the contracts? So we are in process of onboarding 1.5 million college athletes. I mean, it's kind of connecting the dots, but you know, whether that happens or not, what this means is if So it's like the web three has really Of course, course we do. I get the digital asset model on there. So the reason why we are So you have to be more open platform. do the heavy lifting on their behalf. So we want to add the word sports because we, uh, in, in many contexts, On it. Yeah. You can host the cube, bro. Uh, so that's one, the second thing is that if you have any innovative ideas or a player that you want to integrate into, So, uh, and then we are team of It's a lot, not hard to find. So if you have any blockchain development experience, uh, that's something we, We got all the action, a lot of great guests going on, stay with us for more coverage.
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Keynote Analysis with Zeus Kerravala | VeeamON 2022
>>Hello, everybody. Welcome to Von 2022, the live version. Yes, we're finally back live. Last time we did Von was 2019 live. Of course we did two subsequent years, uh, virtual. My name is Dave Valante and we've got two days of wall to wall coverage of VEON. As usual Veeam has brought together a number of customers, but it's really doing something different this year. Like many, uh, companies that you see, they have a big hybrid event. It's close to 40,000 people online and that's sort of driving the actual program where the content is actually different for the, the, the virtual viewers versus the onsite onsite. There's the, the V I P event going on, they got the keynotes. VM is a company who's a ancy occurred during the, the VMware rise. They brought in a new way of doing data protection. They didn't use agents. They, they protected at the hypervisor level. >>That changed the way that people did things. They're now doing it again in cloud, in SAS, in containers and ransomware. And so we're gonna dig into that. My cohost is Dave Nicholson this week, and we've got a special guest Zs Carava who is the principal at ZK research. He's an extraordinary analyst Zs. Great to see you, David. Thanks for coming out. Absolutely good to see you Beon. Great to be here. Yeah, we've done. Von act, live things have changed so dramatically. Uh, I mean the focus ransomware, it's now a whole new Tam, uh, the adjacency to security data protection. It's just a Zs. It's a whole new ballgame, isn't it? >>Well, it is. And, and in fact, um, during the keynote, they, they mentioned that they've, they're now tied at number one in, for, you know, back of a recovery, which is, I think it's safe to say Veeam. Does that really well? >>I think from a that's tied with Dell. Yes. Right. They didn't, I don't think they met Dell as >>Keto. And, uh, but I, you know, they've been rising Dell, EMC's been falling. And so I think >>It's somebody said 10 points that Dell lost and sharing the I data. >>It's not a big surprise. I mean, they haven't really invested a whole lot, >>I think anyway, >>Anyways, but I think from a Veeam perspective, the question is now that they've kind of hit that number one spot or close to it, what do they do next? This company, they mentioned, I was talking the CTO yesterday. You mentioned they're holding X bite of customer data. That is a lot of data. Right. And so they, they do back recovery really well. They do it arguably better than anybody. And so how do they take that data and then move into other adjacent markets to go create, not just a back recovery company, but a true data management platform company that has relevancy in cyber and analytics and artificial intelligence and data warehousing. Right? All those other areas I think are, are really open territory for this company right now. >>You know, Dave, you were a CTO at, at EMC when you, when you saw a lot of the acquisitions that the company made, uh, you, you know, they really never had a singular focus on data protection. They had a big data protection business, but that's the differentiator with Veeam. That's all it does. And you see that shine through from a, from a CTO's perspective. How do you see this market changing, evolving? And what's your sense as to how Vema is doing here? >>I think a lot of it's being driven by kind of, uh, unfortunately evil genius, uh, out in the market space. Yeah. I know we're gonna be hearing a lot about ransomware, uh, a lot about some concepts that we didn't really talk about outside of maybe the defense industry, air gaping, logical air gaping, um, Zs, you mentioned, you know, this, this, this question of what do you do when you have so many petabytes of data under management exabytes now exabytes, I'm sorry. Yeah, I see there I'm I'm already falling behind. One thing you could do is you could encrypt it all and then ask for Bitcoin in exchange for access to that data. >>Yes. That is what happens a >>Lot of them. So we're, we're getting, we're getting so much of the evil genius stuff headed our way. You start, you start thinking in those ways, but yet to, to your point, uh, dedicated backup products, don't address the scale and scope and variety of threats, not just from operational, uh, uh, you know, mishaps, uh, but now from so many bad actors coming in from the outside, it it's a whole new world. >>See us as analysts. We get inundated with ransomware solutions. Everybody's talking about it across the spectrum. The thing that interested me about what's happening here at VEON is they're, they're sort of trotting out this study that they do Veeam does some serious research, you know, thousands of customers that got hit by ransomware that they dug into. And then a, a larger study of all companies, many of whom didn't realize or said they hadn't been hit by ransomware, but they're really trying to inject thought leadership into the equation. You saw some of that in the analyst session this morning, it's now public. Uh, so we could talk about it. What were your thoughts on that data? >>Yeah, that was, uh, really fascinating data cuz it shows the ransomware industry, the response to it is largely reactive, right? We wait to get breach. We wait to, to uh, to get held at ransom I suppose. And then we, a lot of companies paid out. In fact, I thought there's one hospital in Florida, they're buying lots and lots of Bitcoin simply to pay out ransomware attacks. They didn't even really argue with them. They just pay it out. And I think Veeam's trying to change that mentality a little bit. You know, if you have the right strategy in place to be more preventative, you can do that. You can protect your data and then restore it right when you want to. So you don't have to be in that big bucket of companies that frankly pay and actually don't get their data back. Right. >>And like a third, I think roughly >>It's shocking amount of companies that get hit by that. And for a lot of companies, that's the end of their business. >>You know, a lot of the recovery process is manual is again a technologist. You understand that that's not the ideal way to go. In fact, it's probably a, a way to fail. >>Well, recovery's always the problem when I was in corporate, it used to joke that we were the best at backup, terrible at recovery. Well, you know, that's not atypical. >>My Fred Fred Moore, who was the vice president of strategy at a company called storage tech storage technology, corpor of storage tech. He had a great, uh, saying, he said, backup is one thing. Recovery is everything. And he started, he said that 30 years ago, but, but orchestration and automating that orchestration is, is really vital. We saw in the study, a lot of organizations are using scripts and scripts are fragile here they break. Right? >>Yeah, no, absolutely. Absolutely. Um, unfortunately the idea of the red run book on the shelf is still with us. Uh, uh, you know, scripting does not equal automation necessarily in every case, there's still gonna be a lot of manual steps in the process. Um, but you know, what I hope we get to talk about during the next couple of days is, you know, some of the factors that go into this, we've got day zero exploits that have already been uncovered that are stockpiled, uh, and tucked away. And it's inevitable that they're gonna hit. Yeah. So whether it's a manual recovery process or some level of automation, um, if you don't have something that is air gapped and cut off from the rest of the world in a physical or logical way, you can't guarantee >>That the, the problem with manual processes and scripting is even if you can set it up today, the environment changes so fast, right? With shadow it and business units buying their own services and users storing things and you know, wherever, um, you, you can't keep up with scripts in manual. Automation must be the way and I've been, and I don't care what part of it. You work in, whether it's this area in networking, communications, whatever automation must be the way I think prior to the pandemic, I saw a lot of resistance from it pros in the area of mission. Since the pandemic, I've seen a lot of warming up to it because I think it pros, I just realized they can't do their job without it. So, so you >>Don't, you don't think that edge devices, uh, lend themselves to manual >>Recovery, no process. In fact, I think that's one of the things they didn't talk about. What's that is, is edge. Edge is gonna be huge. More, every retailer, I talk to oil and gas, company's been using it for a long time. I've, you know, manufacturing organizations are looking at edge as a way to put more data in more places to improve experiences. Cuz you're moving the data closer, but we're creating a world where the fragmentation of data, you think it's bad now just wait a couple of years until the edge is a little more, you know, uh, to life here. And I think you ain't see nothing yet. This is this world of data. Everywhere is truly becoming that. And the thing with edge is there's no one definition, edge, you got IOT edge cellular edge, campus edge, right? Um, you know, you look at hotels, they have their own edge. I talked to major league baseball, right? They have every, stadium's got its own edge server in it. So we're moving into a world. We're putting more data in more places it's more fragmented than ever. And we need better ways of managing Of securing that data. But then also being able to recover for when >>Things happen. I was having that Danny Allen, he used the term that we coined called super cloud. He used that in the analyst meeting today. And, and that's a metaphor for this new layer of cloud. That's developing to your point, whether it's on-prem in a hybrid across clouds, not just running on the cloud, but actually abstracting away the complexity of the underlying primitives and APIs. And then eventually to your point, going out to the edge, I don't know if anyone who has an aggressive edge strategy Veeam to its credit, you know, has gone well beyond just virtualization and gone to bare metal into cloud. They were the containers. There was first at SAS. They acquired Caston who was a partner of theirs and they tried to acquire them earlier, but there was some government things and you know, that whole thing that got cleaned up and now they've, they own Caston. And I think the edge is next. I mean, it's gotta be, there's gonna be so much data at the edge. I guess the question is where is it today? How much of that is actually persisted? How much goes back to the cloud? I don't think people really have a good answer for that yet. >>No. In fact, a lot of edge services will be very ephemeral in nature. So it's not like with cloud where we'll take data and we'll store it there forever with the edge, we're gonna take data, we'll store it there for the time, point in time we need it. But I think one of the interesting things about Veeam is because they're decoupled from the airline hardware, they can run virtual machines and containers, porting Veeam to whatever platform you have next actually isn't all that difficult. Right? And so then if you need to be able to go back to a certain point in time, they can do that instantly. It's, it's a fascinating way to do backup. Are >>You you' point about it? I mean, you remember the signs up and down, you know, near the EMC facility, right outside of Southborough no hardware agenda that that was Jeremy Burton when he was running Verto of course they've got a little hardware agenda. So, but Veeam doesn't Veeam is, you know, they they're friendly with all the hardware players of pure play software, couple other stats on them. So they're a billion dollar company. They've now started to talk about their ARR growth. They grew, uh, 27% last year in, in, in annual recurring revenue, uh, 25%, uh, in the most recent quarter. And so they're in, in the vast majority of their business is subscription. I think they said, uh, 73% is now subscription based. So they really trans transitioned that business. The other thing about vem is they they've come up with a licensing model that's very friendly. >>Um, and they sort of removed that friction early on in the process. I remember talking to TIR about this. He said, we are gonna incent our partners and make it transparent to them, whether it's, you know, that when we shift from, you know, the, the, the, the crack of, of perpetual license to a subscription model, we're gonna make that transparent to partners. We'll take care of that. Essentially. They funded that transition. So that's worked very well. So they do stand out, I think from some of the larger companies at these big portfolios, although the big portfolio companies, you know, they get board level contacts and they can elbow their ways in your thoughts on that sort of selling dynamic. >>So navigating that transition to a subscription model is always fraught with danger. Everybody wants you to be there, but they want you to be there now. Mm-hmm <affirmative>, they don't like the transition that happens over 1824 months to get there. Um, >>As a private company, they're somewhat shielded from what they would've been if they were appli. Sure, >>Exactly. But, but that, but that bodes well from a, from a, a Veeam perspective. Um, the other interesting thing is that they sit where customers sit today in the real world, a hybrid world, not everything is in the cloud or a single cloud, uh, still a lot of on-prem things to take care of. And, >>And there will be for >>A long time exactly. Back to this idea. Yeah. There's a very long tail on that. So it's, it's, it's well enough to have a niche product that addresses a certain segment of the market, but to be able to go in and say all data everywhere, it doesn't matter where it lives. We have you covered. Um, that's a powerful message. And we were talking earlier. I think they, they stand a really good shot at taking market share, you know, on an ongoing basis. >>Yeah. The interesting thing about this market, Dave is they're, you know, although, you know, they're tied to number one with Dell now, they're, it's 12%, right? This reminds me of the security industry five, six years ago, where it's so fragmented. There's so many vendors, no one really stood out right. Then what happened in security? It's a little company called Palo Alto networks came around, they created a platform story. They moved into adjacent markets like SDWAN, they did a lot of smart acquisitions and they took off. I think vem is at that similar point where they've now, you know, that 12% number they've got some capital. Now they could go do some acquisitions that they want do. There's lots of adjacent markets as they talk about this company could be the Palo Alto of the data management market, if you know, and based on good execution. But there's certainly the opportunities there with all the data that they're holding. >>That's a really interesting point. I wanna stay that in a second. So there's obviously, there's, there's backup, there's recovery, there's data protection, there's ransomware protection, there's SAS data protection. And now all of a sudden you're seeing even a company like Rubrik is kind of repositioning as a security play. Yeah. Which I'm not sure that's the right move for a company that's really been focused on, on backup to really dive into that fragmented market. But it's clearly an adjacency and we heard Anan the new CEO today in the analyst segment, you know, we asked him, what's your kinda legacy gonna look like? And he said, I want to, I want to, defragment this market he's looking at. Yeah. He wants 25 to 45% of the market, which I think is really ambitious. I love that goal now to your point, agree, he, he sure. But that doubles yeah. >>From today or more, and he gets there to your point, possibly through acquisitions, they've made some really interesting tuck-ins with Castin. They certainly bought an AWS, uh, cloud play years ago. But my, my so, uh, Veeam was purchased by, uh, private equity inside capital inside capital in January of 2020, just before COVID for 5 billion. And at the time, then COVID hit right after you were like uhoh. And then of course the market took off so great acquisition by insight. But I think an IPO is in their future and that's, uh, Zs when they can start picking up some of these adjacent markets through every day. >>And I think one of the challenges for them is now that the Holden XAB bited data, they need to be able to tell customers things they, the customer doesn't know. Right. And that's where a lot of the work they're doing in artificial intelligence machine learning comes into play. Right. And, and nobody does that better than AWS, right? AWS is always looking at your data and telling you things you don't know, which makes you buy more. And so I think from a Veeam perspective, they need to now take all this, this huge asset they have and, and find a way to monetize it. And that's by revealing these key insights to customers that the customers don't even know they have. And >>They've got that monitor monitoring layer. Um, it's if you called it, Danny, didn't like to use the term, but he called it an AI. It's really machine learning that monitors. And then I think makes recommendations. I want to dig into that a little bit with it. >>Well, you can see the platform story starting to build here. Right. And >>Here's a really good point. Yeah. Because they really have been historically a point product company. This notion of super cloud is really a platform play. >>Right. And if you look in the software industry, look across any, any segment of the software industry, those companies that were niche that became big became platforms, Salesforce, SAP, Oracle. Right. And, and they find a way to allow others to build on their platform. You know, companies, they think like a Citrix, they never did that. Yeah. And they kind of taped, you know, petered out at a certain level of growth and had to, you know, change. They're still changing their business model, in fact. But I think that's Veeam's at that inflection point, right. They either build a platform story, enable others to do more on their platform or they stagnate >>HP software is another good example. They never were able to get that platform. And we're not able bunch of spoke with it, a non used to work there. Why is it so important Dave, to have a platform over a product? >>Well, cynical, Dave says, uh, you have a platform because it attracts investment and it makes you look cooler than maybe you really are. Um, but, uh, but really for longevity, you have, you, you, you have to be a platform. So what's >>The difference. How do you know when you have platform versus it? APIs? Is it, yeah. Brett, is it ecosystem? >>Some of it is. Some of it is semantics. Look at when, when I'm worried about my critical assets, my data, um, I think of a platform, a portfolio of point solutions for backing up edge data stuff. That's in the cloud stuff that exists in SAS. I see that holistically. And I think guys, you're doing enough. This is good. Don't, don't dilute your efforts. Just keep focusing on making sure that you can back up my data wherever it lives and we'll both win together. So whenever I hear a platform, I get a little bit, a little bit sketchy, >>Well platform, beats products, doesn't >>It? Yeah. To me, it's a last word. You said ecosystem. Yes. When you think of the big platform players, everybody B in the customer, uh, experience space builds to build for Salesforce. First, if you're a small security vendor, you build for Palo Alto first, right? Right. If you're in the database, you build for Oracle first and when you're that de facto platform, you create an ecosystem around you that you no longer have to fund and build yourself. It just becomes self-fulfilling. And that drives a level of stickiness that can't be replicated through product. >>Well, look at the ecosystem that, that these guys are forming. I mean, it's clear. Yeah. So are they becoming in your view >>Of platform? I think they are becoming a platform and I think that's one of the reasons they brought on and in, I think he's got some good experience doing that. You could argue that ring kind of became that. Right. The, when, you know, when he was ring central. >>Yeah. >>Yeah. And, uh, so I think some, some of his experiences and then moving into adjacencies, I think is really the reason they brought him in to lead this company to the next level. >>Excellent guys, thanks so much for setting up VEON 20, 22, 2 days of coverage on the cube. We're here at the area. It's a, it's a great venue. I >>Love the area. >>Yeah. It's nice. It's a nice intimate spot. A lot of customers here. Of course, there's gonna be a big Veeam party. They're famous for their parties, but, uh, we'll, we'll be here to cover it and, uh, keep it right there. We'll be back with the next segment. You're watching the cube VEON 20, 22 from Las Vegas.
SUMMARY :
Like many, uh, companies that you see, Absolutely good to see you Beon. one in, for, you know, back of a recovery, which is, I think it's safe to say Veeam. I think from a that's tied with Dell. And so I think I mean, they haven't really invested a whole lot, And so how do they take that data and then move into other adjacent markets to And you see that shine through from I think a lot of it's being driven by kind of, uh, unfortunately evil genius, uh, uh, you know, mishaps, uh, but now from so many bad actors coming in from the outside, does some serious research, you know, thousands of customers that got hit by ransomware that they dug You know, if you have the right strategy in place to be more preventative, you can do that. And for a lot of companies, that's the end of their business. You know, a lot of the recovery process is manual is again a technologist. Well, you know, that's not atypical. And he started, he said that 30 years ago, but, but orchestration and automating that orchestration and cut off from the rest of the world in a physical or logical way, you can't guarantee services and users storing things and you know, wherever, um, you, And I think you ain't see nothing yet. they tried to acquire them earlier, but there was some government things and you know, that whole thing that got cleaned up and And so then if you need to be able to go back I mean, you remember the signs up and down, you know, near the EMC facility, although the big portfolio companies, you know, they get board level contacts and they can elbow their ways in your Everybody wants you to be there, but they want you to be there now. As a private company, they're somewhat shielded from what they would've been if they were appli. the other interesting thing is that they sit where customers sit market share, you know, on an ongoing basis. I think vem is at that similar point where they've now, you know, Anan the new CEO today in the analyst segment, you know, And at the time, then COVID hit right after you were like And I think one of the challenges for them is now that the Holden XAB bited data, they need to be able to tell Um, it's if you called it, Well, you can see the platform story starting to build here. Because they really have been historically a point product company. And they kind of taped, you know, Why is it so important Dave, to have a platform over a Well, cynical, Dave says, uh, you have a platform because it attracts investment and it makes you How do you know when you have platform versus it? sure that you can back up my data wherever it lives and we'll both win together. facto platform, you create an ecosystem around you that you no longer have to fund and build yourself. So are they becoming in your The, when, you know, when he was ring central. I think is really the reason they brought him in to lead this company to the next level. We're here at the area. They're famous for their parties, but, uh, we'll, we'll be here to cover it and,
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Tom Anderson, Joe Fitzgerald & Alessandro Perilli, Red Hat | AnsibleFest 2021
(cheerful music) >> Hello everyone, welcome to theCUBE's coverage of AnsibleFest 2021, with Red Hat. Topic of this power panel is the future of automation, we've got a great lineup of CUBE alumni, Joe Fitzgerald, vice president, general manager of the Red Hat business unit, thanks for coming on, Tom Anderson, vice president, product manager of Red Hat, and Alessandro Perilli, the senior director of product market at Red, all good CUBE alumni. Distinct power panel, Joe we'll start out with you, what have you seen in automation game right now, 'cause it continues to evolve. I mean you can't go to an event, a virtual event, or read anything online without hearing AI automation, automation hybrid, automation hybrid hybrid hybrid hybrid, I mean automation is the top conversation in almost all verticals. What do you see happening right now? >> Yeah, it's sort of amazing, you know? Automation is quite fashionable these days, as you pointed out. Automation's always been on the radar of a lot of enterprises, and I think it was always perceived as sort of like that, an efficiency, a task model thing, that people did. Now automation is, if you believe some of the analysts, it's up to a board room imperative in some cases. So we are seeing with our customers that the level of complexity they're dealing with, particularly exaggerated by what's gone past year and a half in the world, is putting a tremendous amount of pressure, attention and importance on automation. So automation's definitely one of the busiest places to be right now. >> What's the big change this year, though? I mean we love the automation conversation, we had it last year a lot too, as well. What's the change, what's the trend right now that's driving this next level automation conversation with customers? >> Well, I'll ask my colleagues to comment on that in a second, but, the challenges here with automation, is people are constrained now, they can't access facilities as easy as they used to be able to. They still need to go fast, some businesses have had to expand dramatically, and introduce new services to handle all sorts of new scenarios, they've had to deploy things faster. Security, not a week goes by you don't read about something going on regarding security and breaches and hacking and things like that, so they're trying to secure things as fast as possible, right, and deploy critical fixes and patches and things like that. So there's just tremendous amount of activity, that's really been exaggerated by what's gone on over the past year. >> And all of this is being compounded with a nature of increasing complexity, that we're seeing in the architecture, explosion microservices, the adoption en masse of containers, and the adoption of multiple clouds for most customers around the world. So really, the extension of the IT environment, especially for large enterprises, enormous for any team, no matter how big it is, so how scale it is, to really go after and look for all the systems, and then the complexity of the architectures, is enormous within that IT environment. It is impossible to scale the applications and to scale the infrastructure, and not scale the IT operations. And so automation becomes really a way to scale IT operations, rather than just keep repeating the same steps over and over, in an attempt to simplify, or to reduce costs. It's well beyond that at this point. >> That's a great point. Tom, what's your reaction to this, because Alessandro brings up a good point, developers are going faster than ever before. The changes of speed and complexity have gone up, so the demand for the IT and/or security groups, or anyone, to be faster, not weeks, minutes. We're talking about a complete time shift here. >> Yeah, so I talk to a lot of customers, and what I keep hearing again and again from them is kind of two things, which is, a need for skills, and reskilling existing staff. When Alessandro talks about the complexity and the scale, think about all the different new tools, new environments, new platforms that these employees and these associates are being exposed to and expected to be able to handle. So, a real, not a skill shortage, but a stress on the skills of the organization. And then secondly, really, our customers are talking to us about the culture in the environment itself, the culture of collaboration, the culture of automation, and the kind of impact that has in our organization, the way teams are now expected to work together, to share information, to share automation, to push, you know, we talk about shifting left in a lot of things now in IT, automation is now shifting left, pushing automation and access to subsystems, IT subsystems and resources, into the hands of people who traditionally haven't had direct access to those resources. So really kind of shift in skills, and a shift in culture I see. >> Ah, the culture. (indistinct), I want to come back to that culture thing, but I want to ask you specifically on that point, do you think automation users still view automation as just repeating and simplifying processes that they already are doing? You've heard the term, "Done it three times, automate it." Is that definition changing and evolving, what's your thoughts? >> Yeah, IT is really changing, going from the traditional, "I'm a network engineer and I use a command line to update my devices I'm responsible for, the config devices, and then I decide to write a playbook using a really cool product like Ansible to drive automation into my daily tasks." And then it comes up to exposing, again, exposing that subsystem I'm responsible for, whatever it is, storage, network, compute, whatever it is, exposing that op so other people can consume it without me being involved, right? So that's a real change in a mindset, and tooling, and approach, that I'm going to expose that op to a set of workflows, business workflows, that drive automation throughout an organization. So that's a real kind of evolution of automation, (indistinct) first, and that's usually focused mostly on day zero, provisioning of a new service. Now we see a lot more focus, or a lot of additional focus on day two operations. How do I automate my day two operations to make them a lot more efficient, as my scale and complexity grows? How do I take the human element out of operating this on a day to day basis? >> So you're saying basically, if I understand you correctly, the system's architecture view, or mindset, around automation, it moves from "Hey, I'm going to use," and Ansible by the way is great for "Hey, I want to automate something, I'm doing a lot," that's cool. But you're looking at it differently. If I understand you correctly, you're saying the automation has to be a system view, meaning you create the rules of the road so that automation can happen at the front lines of the CICD pipeline. You mentioned shift left, is that the difference, is that kind of what's happening here, that's beyond just doing automation, because you can automate it, so you've done that, this is like the next level, is that what you're getting at? >> It is, and we joke about it a little bit, crushing silos, right? Breaking down silos, and again, I keep talking about culture, it really is important, tools are important and technology's important, but the culture's super important, and trying to think of that thing from a systems mindset, of sort of workflows and orchestration of a business process that touches IT components, and how do I automate that and expose that to that workflow, without a human having to touch it, right? Yet still enforce my security protocols, my performance expectations, my compliance stuff, all of that stuff still needs to be enforced, and that's where repeatable automation comes in, of being able to expose this stuff up into these system-level workflows. >> And then there is another element to this (indistinct), I think it's really important to attach to this, the element of speed. We talk about complexity, we talk about scale, but then there is this emerging third dimension, as I call it, that is the speed. And the speed has a number of different articulation, it's the speed when you're thinking about how quickly you need to deliver the application. If you're in a very competitive environment, think about web scale startups for example, or companies in an emerging market, and then you have the speed in terms of reacting to a cybersecurity attack, which Tom just mentioned. And then you have the third kind of speed I'm thinking about right now, which is the increasing amount of artificial intelligence, so an algorithmic kind of operation that is taking place in the organization. For now it's still very limited, but it's not unthinkable that going forward, the operations will be driven, or at least assisted by artificial intelligence. This speed, just like the scale and the complexity we mentioned before, are impossible to be addressed by a single team, and so automation becomes indispensable. >> Yeah, that's a great point, I want to just double click on that, I mean both Tom and Joe were just talking about system, they used the word system. In a subsystem, if one is going faster than the other, to your point, there's a bottleneck there. So if the IT group or security groups are going to take time to approve things, they're not putting rules to the road together to automate and help developers be faster, because look, it's clear, we've been reporting on this in theCUBE, cloud developers are fast. They're moving really fast with code. And so what happens is, if they're going to shift left, that means they're going to be at the point of coding to set policies on security. So, that's going to put pressure on the other subsystems to go faster, so they have to then expose rules of the road, or I'm just making that up, but policy base, or have some systems thinking. They can't just be the old way of saying "No, slow it down." So this is a cultural thing, I think Joe, you brought up culture, Alessandro, you brought up culture. Is that still there? That speed, fast team here and a slow team here? Is that still around, or people getting faster on both sides? And I'm kind of talking about IT, generally speaking, they tend to be slower than the developers. >> Well, just a couple comments, first of all, you heard silos, you heard complexity, you heard speed, talked about shift left. Let me sort of maybe tie those together, right? What's happened to date is every silo has their own set of tooling, right? And so one silo might move very fast, with a very private set of tools, or network management, or security, or whatever, right? And if you think about it, one of the number one skills gaps right now is for automation people. But if an automation person has to learn 17 different tools, 'cause I'm running on three public clouds, I'm on-premise, edge, and I'm doing things to move network storage, compute, security, all sorts of different systems, the tooling is so complicated, right, that I end up with a bunch of specialists. Which can only do one or two things, because they don't know the other domains and they don't know the skills. One of the things we've seen from our customers, I think this is a fundamental shift in automation, is that what we've done with Ansible in particular is, we actually adopted Ansible because of its simplicity. It's actually human-readable, you don't have to be a hardcore programmer to write automation. So that allows the emergence of citizen creators of automation. There's not like a group in some ivory tower that now can make automation and they do it for the masses. Individuals can now use Ansible to create automation. Going cross-domain, Ansible automation touches networks, security, storage, compute, cloud, edge, Linux, Windows, containers, traditional, ITSM, it touches so many systems, that basically what you have is you have a set of power tooling, in Ansible, that allows you now to share automation across teams, 'cause they speak the same language, right? And that's how you go faster. If every silo is fast, but when you have to go inter-silo you slow down, or have to open a ticket, or have some (indistinct) mismatch, it causes delays, errors, and exposures. >> I think that is a very key point, I mean that delay of opening up tickets, not being responsive, Alessandro, you put up machine learning and AI, I mean if you think about what that could do from an automation standpoint, if you can publish the HIPAA rules for your healthcare, you can just traverse that with a bot, right? I mean this is the new... This just saves so much time, why even open up a ticket? So if you can shift left and do the security, and there's kind of rules there, this is a trend, how do you make that happen, how do you bust the silos, and I guess that's the question I'd love to get everyone to react to, because that implies some sort of horizontally scalable control plane. How does someone do that in an architectural way, that doesn't really kind of, maybe break everything, or make the (indistinct) go into a cultural sideways situation? >> Maybe I can jump in, and grab this one, and then maybe ask Alessandro to weigh in afterwards, but, what we've seen and what you'll see some of the speakers at AnsibleFest this year talk about, from a cultural perspective is bringing teams together across automation guilds, JPMC calls it a community of practice, where they're bringing hundreds and thousands of individuals in the organization together virtually, into these teams that share best practices, and processes and automation that they've created. Secondly, and this is a little bit of a shameless plug for Ansible, which is having a common language, a common automation language across these teams, so that sharing becomes obviously a lot easier when you're using the same language. And then thirdly, what we see a lot now is people treating automation as code. Storing that, and get version managing and version controlling and checking in, checking out, really thinking of automation differently from an individual writing a script, to this being infrastructure or whatever my subsystem is, managed it and automated it as code, and thinking of themselves as people responsible for code. >> These are all great points. I think that on top of all these things, there is an additional element which is change management. You cannot count on technology alone to change something that is purely cultural, as we kept saying during this video right now. So, I believe that a key element to win, to succeed in an automation project, is to couple the technology, great technology, easy to understand, able to become the common language as Tom just said, with an effort in change management that starts from the top. It's something you don't see very often because a technology vendor rarely works with a more consulting firm, but it's definitely an area that I think would be very interesting to explore for our customers. >> That's a great point on the change management, but let me ask you, what do you think it needs to make automation more frictionless for users, what do you see that needs to happen, Alessandro? >> I think there are at least a couple of elements that need to change. The first one is that, the effort that we're seeing right now in the industry, to further democratize the capability to automate has to go one notch further. And by that I mean, implementing cell service provisioning portals and ways for automatically execute an automation workflow that already exists, so that an end user, somebody that works in the line of business, and doesn't understand necessarily what the automation workflow, the script is doing, still able to use it, to consume it when it, she or he needs to use it. This is the first element, and then the second element that is definitely more ambitious, is about the language, about how do I actually write the automation workflow? This is a key problem. It's true that some automation engines and some workflows have done, historically speaking, a better job than others, in simplifying the way we write automation workflows, and definitely this is much simpler than writing code with a programming language, and it's simpler than writing automation compared to a tool that we use 10, 15 years ago. But still, there is a certain amount of complexity, because you need to understand how to write in a way that the automation framework understands, and you need even before that, you need to express what you want to achieve, and in a way that the automation engine understands. So, I'm thinking that going forward we'll start to see artificial intelligence being applied to this problem, in a way that's very similar to what OpenAI Microsoft are doing with Codex, the capability that is a model that allows a person to write in plain English through a comment in code, to translate that comment into actual code, taken from GitHub or through the machine learning process that's been done. I'm really thinking that going forward, we will start to see some effort in the same direction, but applied to automation. What if the AI could assist us, not replace us, in writing the automation workflow so that more people are capable to translating what they want to achieve, in a way that is automatable? >> So you're saying the language, making it easy to program, or write, or create. Being a creator of automation. And then having that be available as code, with other code, so there's kind of this new paradigm of automating the automation. >> In a sense, this is absolutely true, yes. >> In addition to that, John, I think there's another dimension here which is often overlooked, which we do spend a lot of time on. It's one thing to have things like Alessandro mentioned, that are front edge in terms of helping you write code, but you want to know something? In big organizations, a lot of times what we find is, someone's already written the code that you need. You know what the problem is? You don't know about it, you can't find it, you can't share it and you can't collaborate on it, so the best code is something that somebody's already invested the time to write, test, burn in, certify, what if they could share it, and what if people could find it, and then reuse it? Right, everybody's talking about low code, no code, well, reuse is the best, right? Because you've already invested expertise into doing it. So we've spent a lot of time working with our customers based on their feedback, on building the tools necessary for them to share automation, to collaborate on it, certify it, and also to create that supply chain from partners who create integrations and interfaces to their systems, and to be able to share that content through the supply chain out to our customers and have them be able to share automation across very large globally distributed organizations. Very powerful. >> That's a powerful point, I mean reuse, leverage there, is phenomenal. Discovery engine's got to be built. You got to know, I mean someone's got to build a search engine for the code. "Hey code, who's written some code?" But just a whole 'nother mindset, so this brings up my next question for you guys, 'cause this is really, we're teasing out the biggest things coming next in automation. These are all great points, they're all about the future, where will the puck be, let's skate to where the puck will be, but it's computer science and automation that's being democratized and opened up more, so it's, what do you guys think is the biggest thing coming next for automation? >> Joe, you want to go next? >> Sure. Sure. Yeah, I'll take it. So we're getting a glimpse of that with a number of customers right now that we're working with that are doing things around concepts like self-healing infrastructures. Well what the heck is that? Basically, it's tying event systems, and AI, which is looking at what's going on in an environment, and deciding that something is broken, sub-optimal, spending too much, there's some issue that needs to be dealt with. In the old days, it was, that system would stop with opening a ticket, dispatch some people who were either manually or semi-automated go fix their whatever. Now people are connecting these systems and saying "Wait a minute. I've got all this rich data coming through my eventing systems. I can make some sense out of it with AI or machine learning. Then I can drive automation, I just eliminated a whole bunch of people, time, exposure, cost, everything else." So I think that, sort of a ventureman automation is going to be huge. I'm going to argue that every single system in the world that uses AI, the result of that's going to be, I want to go do something, I want to change, optimize my move, secure, stop, start, relocate, how's that going to get done? It's going to get done with automation. >> And what Joe just said is really highly successful in the consumer space. If you think about solutions like If This Then That, or Zapier for example, those are examples of event-driven automation. They've been in the consumer space for a long time, and they are wildly popular to the point that there are dozens of clones and competitors. The enterprise space, it didn't adopt the same approach so far, but we start to see event bridges, and event hubs that can really help with this. And this really connects to the previous point, at this point I'm a broken record, which is about the speed and the complexity. If the environment is so spread out, so complex, and it goes all the way to the edge, and all these events take place at a neck-breaking pace, the only way for you is to tie the automation workflows that you have written, to a trigger, an event that takes place at some point, according to your logic. >> Tom, what are your thoughts? >> Yeah, last but not least on that kind of thread, which is sort of the architectures as we get out to the edge, what does it take to automate things at the edge? We thought there was a big jump from data center to cloud, and now when you start extending that out to the edge, am I going to need a new automation platform to handle those edge devices? Will I need a new language, will I need a new team, or can I connect these things together using a common platform to develop the automate at the edge? And I think that's where we see some of our customers moving now, which is automating those edge environments which have become critical to their business. >> Awesome, I want to ask one final question while I've got you guys here in this power panel, great insights here. Operational complexity was mentioned, skills gap was mentioned earlier, I want to ask you guys about the organizational behavior and dynamic going on with this change. Automation, hybrid, multi-cloud, all happening. When you start getting into speed of application development for the modern app, opensource where things are opening up and things are going to be democratized with automation and code and writing automation, and scaling that, you're going to have a cultural battle that's happening, and we're kind of seeing it play out in real time. DevOps has kind of gone and been successful, and we're seeing cloud-native bring new innovation, people are refactoring their business models with cloud technologies, now the edge is here, so this idea of speed, shifting left, from a developer standpoint, is putting pressure on the old, incumbent systems, like the security group, or the IT group that's still holding onto their ticketing system, and they're slower, they're getting requests, and the developer's like "Okay, go faster, I want this done faster." So we're seeing departments reorganizing. What do you guys see, 'cause Red Hat, you guys have been in there, all these big accounts for the generation of this modern era. What's the cultural dynamics happening, and what can companies do to be successful, to get to the next level? >> So I think for us, John, we certainly see it and we experience it, across thousands of customers, and what we've done as an organization is put together adoption journeys, a consulting engagement for our customers around an automation adoption journey, and that isn't just about the technology, it's all throughout that technology, it's about those cultural things, thinking differently about the way I automate and the way I share, and the way I do these tasks. So it's as much about cultural and process as it is about technology. And our customers are asking us for that help. Red Hat, you have thousands of customers that are using this product, surely you can come and tell us how we can achieve more with automation, how can we break down these silos, how can we move faster, and so we've put together these offerings, both directly as well as with our partners, to try and help these customers kind of get over that cultural hump. >> Awesome. Anyone else want to react to the cultural shift and dynamics and how it can play out in a positive way? >> Yeah, I think that it's a huge issue. We always talk about people, processes, and technology. Well the people issue's a really big deal here. We're seeing customers, huge organizations, with really capable teams building apps and services and infrastructures, saying "Help me think about automation in a new way." The old days, it was "Hey, I'm thinking about it as a cost savings thing." Yeah, there's still cost savings in there. To your point, John, now they're talking about speed, and security, and things like that. How fast, zero day exploits, now it's like zero hour exploits. How fast can I think about securing something? You know, time to heal, time to secure, time to optimize, so people are asking us, "What are the best practices? What is the best way to look at what I've got, my automation deficits," used to have tech deficits, now you got automation deficits, right? "What do I need to do culturally?" It's very similar to what happened with DevOps, right? Getting teams to get together and think about it differently and holistically, that same sort of transition is happening, and we're helping customers do that, 'cause we're talking to a lot of them where you've got the scholars have been through it. >> Awesome. Alessandro, your thoughts on this issue. >> I think that what Tom and Joe just said is going to further aggravate, it's going to happen more and more going forward, and there is a reason for that. And this connects back with the skill problem, that we discussed before. In the last 10 years, I've seen growing demand for developers to become experts in a lot of areas that have nothing to do with development, code development. They had to become experts in cloud infrastructures, they had to become experts in security because, you've probably heard this many times, security's everybody's responsibility. Now they've been asked to become experts in artificial intelligence, transforming their title into something like ML engineer. The amount of skills and disciplines that they need to master, alone, by themself, would require a lifetime of work. And we're asking human beings to get better and better at all of these things, and all of the best practice. It's absolutely impossible. And so the only way for them, yeah, five jobs in one, six jobs in one, right? Probably for the same seller, and the only way that these people can execute the best practice, enforce the best practice, if the best practices are encoded in automation workflow, not necessarily written by them, but by somebody else, and execute them at the right time, the right context, and for the right reason. >> It's like the five tool player in baseball, you got to do five different things, I mean this is, you got to do AI, you got to do machine learning, you got to have access to all the data, you got to do all these different things. This is the future of automation, and automation's critical. I've never heard that term, automation deficit or automation debt, we used to talk about tech debt, but I think automation is so important because the only way to go fast is to have automation, kind of at the center of it. This is a huge, huge topic. Thank you very much for coming on, power panel on the future of automation, Joe, Tom, Alessandro from Red Hat, thanks for coming on, everyone, really appreciate the insight, great conversation. >> Thanks, John. >> 'Kay, this is theCUBE's coverage of AnsibleFest 2021 virtual. This is theCUBE, I'm John Furrier, your host, thanks for watching. (calm music)
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is the future of automation, one of the busiest places to be right now. What's the change, what's in a second, but, the and the adoption of multiple clouds or anyone, to be faster, and the kind of impact that back to that culture thing, that I'm going to expose that the automation has to be a system view, and expose that to that workflow, as I call it, that is the speed. that means they're going to and I'm doing things to and I guess that's the question in the organization together virtually, So, I believe that a key element to win, the capability to automate of automating the automation. In a sense, this is already invested the time to write, test, I mean someone's got to build the result of that's going to be, the only way for you is to extending that out to the edge, and things are going to be democratized and that isn't just about the technology, to the cultural shift What is the best way to your thoughts on this issue. and the only way that these people kind of at the center of it. of AnsibleFest 2021 virtual.
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Michael Dell, Dell Technologies | Dell Technologies World 2021
(upbeat music) >> In 1946, the acerbic manager of the Dodgers, Leo the Lip Durocher famously said of baseball, great Mel Ott who was player manager of the Giants at the time. You know what happens to nice guys. They finished in last place. The phrase nice guys finish last was born. It became popular outside of baseball. Well joining me today is someone who was a consummate gentlemen and a nice guy who proves that idiom absolutely isn't true at all. He's also written a new book "Play nice and Win" Michael Dell chairman and CEO of Dell technologies, welcome back to the CUBE. >> Thank you very much, Dave, always great to be with you. Wonderful to be on the CUBE and thanks for your great coverage of Dell technologies world. >> Yeah. We're very excited to be covering the virtual version this year, next year we're back face to face I'm Sure. And we're going to talk about your book but I want to start by asking you to comment on the past 12 months, how are you going to remember 2020? >> I'm going to remember it by the resiliency of the world and our team, the adaptability the acceleration of digital transformation which is pretty amazing around the world. The vital role that technology played in addressing some of the biggest challenges, whether it was the creation of vaccines or, you know, decoding the virus itself or just addressing all the challenges that the world had. You know, I think it's a game changer in terms of disease identification and how we prevent these kinds of things going forward. You know, there's still a long way to go in terms of how do we get 7.5 billion people vaccinated and safe. I also think it exposed, you know some of the fault lines in our society. And that's a great learning for all of us in terms of access to healthcare and education and, you know, the digital resources that power the world. And so, yeah, those are some of the things that really stand out for me. >> Well, I mean, I think leaders like yourself and position of influence, absolutely passionate about some of those changes that we see coming in society. So hopefully we'll have time to talk about that but I wanted to get into the business. I think a lot of people, myself included felt that 2020 was going to be a down year for big tech companies like yours and that relied heavily on selling products that data centers and central offices but the remote work trend and the laptop, boom offset, some of those on-prem softness and headwinds combined with VMware the financial performance of Dell technologies was actually quite amazing. Why were you able to do so well last year? >> Well, first of all, you're right. We did, we had record pretty much everything record revenues, record operating income, record cashflow and be also paid down a record amount of debt. And so I think the strength and resiliency of our supply chain, as well as the broad diversified nature of what we provide our customers continue to serve us very well as they moved to this sort of do anything from anywhere in the world. And it continues the first part of this year, business is very strong >> You know, a few weeks ago, of course you officially announced the spinoff of Dell technologies. Wasn't a huge surprise but the 81% equity ownership of VMware are you worried about untethering VMware from Dell or maybe you can share more on what this means for the future of, your two companies and your customers. >> Right? So, I think this will drive additional growth opportunities for both Dell Tech and VMware, while it unlocks a lot of value for our stakeholders. What we've done is to formalize the commercial relationship into a series of agreements and those are unique and differentiated and they provide lots of flexibility and we've driven a tremendous amount of innovation together and that's going to continue and it will, one of the things we said back in 2015 you'll remember is our commitment to keep the VMware ecosystem open and independent and working across the whole industry. We've done that. You'll continue to see us innovate together with Edge solutions, certainly all the great work we've done with VxRail SD LAN, you know Tanzu creates this platform to modernize applications and VMware Cloud and Dell technologies are the easy path to a multi-cloud architecture. And, that continues to work super well and is not going to be slowed down at all. So... and of course, I'll continue to be a chairman of both companies and we're not selling VMware we're distributing our ownership to our shareholders. >> Well, of course, Dell is the largest sort channel if you will, for VMware. So that's ... you guys got a tight relationship but I want to ask you about digital transformation and everybody talked about it pre COVID but nobody really knew exactly what it was but COVID sort of brought that into focus very quickly. If you weren't a digital business, you were out of business. So going forward, how do you see that whole digital transformation playing out? >> You know I think the plot of any company is to figure out how it can use its data and turn that into insights and outcomes and better results and ultimately competitive advantage faster. And as you said, you know, if it's not able to do that, it's probably going to go out of business. And that agenda just got massively accelerated because it was kind of digital was sort of the only thing that worked during this, this past period. So every organization has figured out that technology is not the IT department, it's actually the fulcrum of progress in the entire company. And so we're seeing sort of across the board a dramatic acceleration in the investment in digital technologies, you know, Edge is growing very fast. I think 5G just accelerates this and, you know you're seeing it in all the demand trends. It's quite positive and, you know, I think you'll see even a more rapid separation from those companies that are able to take advantage of this and quickly adjust their businesses their organizations, and those that are >> You better hop on board or get left behind, you know, the Edge. You mentioned the Edge it's a little bit like digital transformation, you know kind of pre COVID and even post COVID. It means a lot of things to a lot of different people but the telecoms transformation and 5G they have there certainly real. How do you see the Edge? >> You know, the Edges is ... think of it as actually the real world, right? It's, not a data center sitting in the center of the universe somewhere. And look today, you know only 10% of data is processed outside of the data center, but, you know, it's estimated by 2025 you got 75% of enterprise data will be processed outside of a traditional data center or a Cloud. And so as everything becomes intelligent connected 5G accelerates that it's going to be a huge acceleration of this whole process of digital transformation. And you know, again, think about this. I mean, the cost of making something intelligent used to be really expensive. Now it's asymptotically approaching zero. And of course all those things are connected. They're talking to each other and exactly what does this mean for every industry. Nobody's really quite sure and not everything is going to work, but, you know we're seeing it in manufacturing, in retail, in healthcare and the growth on the Edge is really accelerating in a meaningful way. And it's not so much about, you know people talking people with machines, we know how to do that. Now it's about the thing right And, you know you've got like 200 billion arm processors, you know out there in the last couple of years, all those things talking to the other things, generating data it happens in the real world. That's what the Edge is. >> Yeah as you know, we're a big fans of the arm model. And I think it just presents huge opportunities for companies like Dell. I want to ask you about Cloud. And I have to say, I think, you know companies like Dell have been maybe a little bit defensive over the last several years when it comes to Cloud but I think you starting to see the Cloud as a gift with all that CAPEX that's being built out by these hyperscalers. You know, thank you. It seems to me, you can build on top of that. How are you thinking about the Cloud as an opportunity for you and your customers especially as the definition of Cloud evolves? >> Well, first, you know, what we see is and the Edge is kind of the third place or the third premise, right? You got Clouds in the public form, you've got the Colo which is really growing fast and, you know the private hybrid Clouds, and now you've got the Edge. And so you've got infrastructure all over the place with Edge being the fastest growing. You know, one of the big things we see is that customers want a consistent way to operate and execute across that whole platform. And, you know, one of the other things that we've been focused on at Dell technologies is how can we move our business to more of a service and subscription on demand and provide customers that flexibility to to pay as they consume. And so, to some extent this is an evolution of, you know, products to services to managed services, to everything as a service. And so, you know, looking at our balance sheet you'll see over $40 billion in remaining performance obligations as we moved the business to that kind of model and it's been growing double digits for several quarters in a row. And so, you know, we're embracing Cloud and on-demand, and as a service, and obviously here at Dell technologies world we're talking a lot about Apex and our continuing initiatives to move our whole business in that direction. >> Yeah. Apex is a real accelerator for that model. I want to switch topics a little bit. I got a long list of things I want to talk about ESG, sustainability, inclusion, you know, is another topic that, that I'm interested in. I want it. And I said before, people like yourself in a position of influence to influence public policy and obviously the employees and your ecosystem why is it not just the right thing to do? Why is... why are those things good business, Michael? >> Well, it's good business because people want to be part of something that is important and purposeful. You know, it's not just make a profit and earn a living right? You know, people want to be inspired and feel that they're part of something special. And look, I think if you look at the positive changes that have occurred in the world certainly you could turn on the news and see the horrible things that happened in the last 24 hours or something like that. But if you step back and think about the amazing progress that's happened in the last several decades, you know a lot of it's been driven by technology and by businesses that have stepped up and made a difference and made commitments. And, you know, we're one of those companies that has made a series of commitments you know, 10 years ago, we set out with our 2020 goals. We accomplished significant majority of those retired those. Now we set out our progress made real 2030 goals all around the ESD themes. And it's not only the right thing to do but it is good for business. It inspires our team members, our customers and I think initiatives like progress made real at Dell and thousands of other companies. Ultimately, those are the things that are going to drive progress forward. I believe, you know, more so than government edicts or regulation, those can play a role. But I think, companies voluntarily driving things like the circular economy and how we include everyone in our business and provide opportunities for everyone to succeed no matter where they come from. I think those are the things that are really going to drive the world forward. >> Well, I want to ask you about public policy because as you say, it's not just the government, but of course sometimes the government can get in the way. You're seeing a lot of vitriol around Val break up big tech but the same time, you're seeing the US government and the EU very willing to help out with the semiconductor competitiveness in the like I know you were tapped with the new administration President Biden, tapping, you know, the best minds in tech and you were asked to part sort of participate give feedback. What can you tell us about, you know your advice to the US government? >> Well, you know, lots of great discussion with the new administration and it's a delight to see that they're focused on semiconductors and sort of the industries of the future. This is a big deal. I mean, you know, we've got some big global competitors out there other nations that are with a deterministic strategy very focused on the industries of the future. But US, you know if you think about the atomic age and, you know the Apollo missions that created the whole semiconductor industry ARPANET and ultimately the Internet and that kind of stopped right there, you know, there wasn't as much government investment in some of those big R and D initiatives that really drove an enormous creation of industries and success for the United States and its citizens. And so I think focusing on semiconductors and how you build the infrastructure of the future really important for the United States to continue to be a leader in that you know, we were, you know, producing a one point about 37% of the world's semiconductors. It's now down to 12% and dropping and really important that more investments are made in that area. It's a combination of capital, talent, you know education knowledge, and also, you know, the policies that promote the development of these kinds of businesses. >> Yah well, Pat's got a very big challenge ahead of them. And so that's why but we've said Intel's too strategic to fail in our view but I wanted to plug your book a little bit. My former boss, you and I have talked about this. He was also a gentleman who proved Leo Durocher wrong. He was very nice guy, but also a winner, Play Nice But Win, why did you decide to write another book? >> Well, you know, Dave, a lot has happened in the last 20 years and especially the last nine or so years since we went private and, you know merged with EMC and VMware and went public again. And, you know, I'd say we... first of all, you know when I wrote the first book in 1998 I wasn't comfortable disclosing a lot. And, and I wasn't vulnerable enough and didn't feel, you know, able to do that. Now I do, you know, I'm older, you know hopefully a little wiser. And so I think everybody's going to like hearing some of the fun stories about not only my childhood but you know, the dorm room and beyond, and leading up to, you know the pivotal changes that have occurred the last decade my alligator wrestling with Carl Icahn and other, you know there's lots of fun stories in there. I got arrested one time. It was only for speeding tickets, don't worry but you know, lots of fun. I'm really looking forward to the book coming out and being able to talk about it. >> I can't wait. You know, I've said many times anybody who could beat the great icon is interesting to me. I wanted to ask you, I mentioned my old boss, Pat McGovern. I used to say to them all the time, "Pat how come you don't buy more companies?" And he'd say," Dave, you know the vast majority of acquisitions and mergers they failed to meet their objectives." Did you ever imagine, I mean... I did the EMC acquisition. Did... how could it not have exceeded your expectations? I wonder if you could give us your final thoughts on that. >> You know, and I talk about this a lot in the book. I mean, these are kind of the ultimate considered decisions. And in the case of the EMC combination it was something that we had thought about going back to 2008, 2009. And then, you know, started thinking about it in 2014 worked on it for a full year before it got announced in 2015 and finally closed in 2016. But yeah, I mean, you know, we thought it would be great. It turned out to be even better than We thought the revenue synergies were far greater. The teams were quite energized. Customers liked what we were providing and you know it's ... and, of course the markets were supportive Right? You know, we were paying close attention to interest rates and how we could structure the merger in a attractive way. And, you know, thank goodness, lots of hard work lots of determination, you know, it's worked out quite well. >> Yeah, great commitment from the Dell team as well. Congratulations on that. Go ahead, please. >> And any adventure continues right? It's...( both chuckles) >> I can't wait to see the next chapter and I can't wait to get the book, but congratulations on that, all your tremendous success you're you are a winner and a gentleman and a friend of the CUBE, Michael Dell. Thanks so much. >> Thank you so much Dave. >> And thank you for watching. And this is the CUBE continuous coverage of Dell tech world 2021, the virtual edition. Keep it right there, right back. (upbeat music)
SUMMARY :
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Aparna Sinha and Pali Bhat | Google Cloud Next OnAir '20
>>from around the globe. It's the Cube covering Google Cloud. Next on Air 20. Hi, I'm Stew Minimum And and this is the Cube's coverage of Google Cloud next 20 on air, Of course. Last year we were all in person in San Francisco. This year it's an online experience. It's actually spanning many weeks and this week when we're releasing the Cube interviews, talking about application modernization, happy to welcome back program two of our Cube alumni. Chris Well, I've got Aparna Sinha, Uh, who is the director of product management, and joining her is Pali Bhat, who's the vice president of product and design, both with Google Cloud Poly. Welcome back. Thanks so much for joining us. >>Thank you. Good to be here. >>Well, so it goes without saying it. That 2020 has had quite a lot of changes. Really affect it. Start with you. You know, obviously there's been a lot of discussion is what is the impact of the global pandemic? The ripple in the economy on cloud. So I would love to hear a little bit. You know what you're hearing from your customers. What? That impact has been on on you and your business. >>Yes to thank thank you for asking as I look at our customers, what's been most inspiring for me to see is how organizations and the people in those organizations are coming together to help each other during this unprecedented event. And one of the things I wanted to highlight is, as we all adjust to this sort of new normal, there are two things that I keep seeing across every one of our customers. Better operation efficiency, with the focus on cost saving is something that's a business imperative and has drawn urgency. And the second bit is an increased focus on agility and business innovation. In the current atmosphere, where digital has truly become gone from being one of the channels being D channel, we're seeing our customers respond by being more innovative and reaching their customers in the way that they want to be rich. And that's been, for me personally, very inspiring to see. And we turned on Google Cloud to be a part of helping our customers in this journey in terms of our business itself. We're seeing tremendous momentum around our organization business because it plays directly into these two business imperatives around operational efficiency, cost saving and, of course, business innovation and agility. In Q two of 2020 we saw more than 100,000 companies use our application modernization platform across G ke and those cloud functions Cloud Run and our developers tools. So we've been, uh, just tagged with the response of how customers are using our tools in order to help them run their businesses, operate more efficiently and be more innovative on behalf of their customers. So we're seeing customers use everything from building mission critical applications who then securing, migrating and then operating our services. And we've also seen that customers get tremendous benefits. We've seen up to a 35% increase simply by using our own migration tools. And we've also seen it up to 75% improvement to all of the automation and re platform ing that they can do with our monetization platform. That's been incredible. What I do want to do. Those have a partner chime in on some of the complexity that these customers are seeing and how we're going about trying to address that >>Yes, eso to help our customers with the application modernization journey. Google Cloud really offers three highly differentiated capabilities. Us to the first one is really providing a consistent development and operations experience, and this is really important because you want the same experience, regardless of whether you're running natively in Google Cloud or you're running across clouds or you're running hybrid or you're running at the edge. And I think this is a truly unique differentiator off what we offer. Secondly, we really give customers and their developers industry leading guidance. And this is particularly important because there's a set of best practices on how you do development, how you run these applications, how you operate them in production for high reliability, a exceptional security staff, the stature and for the maximum developer efficiency on. And we provide the platform and the tooling to do that so that it can be customized to it's specific customers needs and their specific place on that modernization journey. And then the third thing on and I think this is incredibly important as well is that we would ride a data driven approach, a data driven optimization and benchmarking approach so that we can tell you where you are with regard to best practice and then help you move towards best practice, no matter where you're starting. >>Yeah, well, thank you, Aparna and Polly definitely resonates with what we're hearing. You know, customers need to be data driven. And then there's the imperative Now that digital movement Pali last year at the show, of course, Antos was, you know, really the talk of the conference years gone by. We know things move really fast, so if you could, you know, probably don't have time to get all of the news, but share with us the updates what differentiated this year along from a new standpoint, >>Yeah, So we've got tremendous set off improvements to the platform. And one of the things that I wanted to just share was that our customers as they actually migrate on to onto the cloud and begin the modernization journeys in their digital transformation programs. What we're seeing over and over is those customers that start with the platform as opposed to an individual application, are set up for success in the future. The platform, of course, is an tos where your application modernization journey begins. In terms of updates, we're gonna share a series off updates in block post, etcetera. I just want to highlight a few. We're sharing their availability off Antos for their middle swathe things that our customers have been asking about. And now our customers get to run on those on Prem and at the edge without the need for a hyper visor. What this does is helps organizations minimize unnecessary overhead and ultimately unlock all of the new cloud and edge use case. The second bit is we're not in the GF our speech to text on prem capability, but this is our first hybrid AI capability. So customers like Iron Mountain get to use hybrid AI, so they have full control of the infrastructure and have control off their data so they can implement data residency and compliance while still leveraging all of Google Cloud AI capabilities. Third services identity again. This extends existing identity solutions so that you can seamlessly work on and those workloads again. This is going to be generally available for on premise customers and better for Antos on AWS, and you're going to see more and more customers be able to leverage their existing identity investments while still getting the consistency that Anton's provides across environments. In the last one that I like to highlight is on those attached clusters, which lets customers bring any kubernetes conforming cluster on Toronto's and still take advantage of the advanced capabilities that until provides like declarative configurations and service automation. So one of the customers I just want to call out is Cold just built it. Entire hybrid cloud strategy on Anton's Day began with the platform first, and now we're seeing a record number of customers on Cold Start camaraderie. Take advantage of Mantel's tempting. With Macquarie Bank played, there's a number of use cases. I am particularly excited about major league baseball. I'm a big fan of baseball, and Major League Baseball is now using and those for 2020 season and all of the stadium across, trusting a large amount of data and gives them the capability to get those capabilities in stadiums very, really acceptable. All of those >>Okay, quick, quick. Follow up on that and those attached clusters because it was one of the questions I had last year. Google Cloud has partnerships with VM Ware for what they're doing. You know, Red Hat and Pivotal also is part of the VM Ware families, and they have their own kubernetes offering. So should I be thinking of this as a management capability that's similar to like what? What Andrew does Or maybe as your arca, Or is it just a kind of interoperability piece? How do we understand how these multiple kubernetes fit together? >>Yeah. So what we've done with Antos has really taken the approach that we need to help our customers are made and manage the infrastructure to specifically what Antos attach clusters gives our customers is they can have any kubernetes cluster as long as it's kubernetes conformance, they can benefit from all of the things that we provide in terms of automation. One of the challenges, of course, is you know, those two is configuring these very, very large instances in walls. A lot of handcrafting today we can provide declarative configuration. So you automate all of that. So think of this as configures code I think of this is infrastructure scored management scored. We're providing that service automation layer on top of any kubernetes conforming cluster with an tools. >>Great. Alright, uh, it's at modernization weeks, so Ah, partner, maybe bring us in aside. You were talking about your customers and what their what they're doing to modernize what's new that they should be aware of this year. >>Yeah, so So, First of all, you know, our mission is really to accelerate innovation in every organization through making their developers more productive as well as automating their operations. And this is something that is resonating even more in these times. Specifically, I think the biggest news that we have is really around, how we're going to help companies get started with the application modernization so that they can maximize the impact of their modernization efforts. And to do this, we're introducing what we're calling. The Google Cloud Application Modernization program or a Google camp for short on Google Camp has three pieces. It has an assessment, which is really data driven and fact based. It's a baseline assessment that helps organizations understand where they are in terms of their maturity with application modernization. Secondly, we give them a blueprint. This is something that is, is it encapsulates a specific set of best practices, proven best practices from development to security to operations, and it's something that they can put into practice and implement immediately. These practices, they cover the entire application lifecycle from writing the code to the See I CD to running it and operating it for maximum reliability and security. And then the third aspect, of course, is the application platform. And this is a modern platform, but also extremely extensible. And, as you know, it spans across clouds on this enables organizations to build, run and secure and, of course, manage both legacy as well as new applications. And the good news, of course, here is you know, this is a time tested platform. It's something that we use internally as well. For our Cloud ML services are being query omni service capability as well as for apogee, hot hybrid and many more at over time. So with the Google campus really covered all aspects of the application lifecycle. And we think it's extremely important for enterprises to have this capability. >>Yeah, so a party when you talk about the extent ability, I would expect that Google Cloud Run is one of the options there to help give us a bridge to get to server list. If that's where customers looking to my right on >>that, that's rights to the camp program provides is holistic, and it brings together many of our capabilities. So Cloud Code Cloud See I CD Cloud Run, which is our server less offering and also includes G ki e and and those best practices. Because customers for their applications, they're usually using multiple platforms. Now, in the case of Cloud Run, in particular, I want to highlight that there's been a lot of interest in the serverless capability during this last few months. In particular, I think, disproportionate amount of interest and server lists on container Native. In fact, according to the CNC F 2020 State of Cloud Native Development Report, you might have seen that, you know, they noted that 2.7 million cloud native developers are using kubernetes and four million are using serverless architectures or cloud functions, and that about 60% of back and developers are now using containers. So this just points to the the usage that was happening already and is now really disproportionately accelerated. In our case, you know, we've we've worked with several customers at the New York State Department and Media Market. Saturn are two that are really excellent stories with the New York State Department. They had a unemployment claims crisis. There was a lot. Ah, volume. That was difficult for their application to handle. And so we worked with them to re architect their application as a set of micro services on Google Cloud on our public sector team of teamed up with them to roll out a new unemployment website in record time. That website was able to handle the 1600% increase in Web traffic compared to a typical week. And this is very much do, too, the dev ops tooling that we provided and we worked with them on and then with Media market Saturn. This is really an excellent example in EMEA based example of a retailer that was able to achieve an eight X increase in speed as well as a 40% cost reduction. And these are really important metrics in these times in particular because for a retailer in the Cove in 19 crisis, to be able to bring new applications and new features to the hands of their customers is ultimately something that impacts their business is extremely valuable. >>Yeah, you think you bring up a really great point of partner when I traditionally think of application modernization. Maybe I've been in the space to long. But it is. Simplicity is not. The first thing that comes to mind is probably pointed out right now. There's an imperative people need to move fast, so I want to throw it out to both of you. How is Google's trying to make sure that, you know, in these uncertain times that customers can move fast and that with all these technology options that it could be just a little bit simpler? >>Yeah, I think I just, uh you know, start off by saying the first thing we've done is build all of our services from the ground up with automation, simplicity and agility in mind. So we've designed for development teams and operations teams be able to take these solutions and get productive with them right away. In addition, we understand that some of our largest customers actually need dedicated program where they can actually assess where they are and then map out a plan for incremental improvement so they can get on their journey to application modernization. But do it with the highest our way. And that was Google camp that apartment talked about ultimately at Google Cloud. Our mission, of course, is to accelerate innovation. Every organization toe hold developer velocity improvements, but also giving them the operation automation that we talked about with that application modernization platform. So we're very excited to be able to do this with every organization. >>Great. Well, Aparna, I'll let you have the final word Is the application modernization week here at Google Cloud. Next online, you can have the final take away for customers. >>Well, thank you, cio. You know, we are extremely passionate about developers on. We want to make sure that it is easy for anyone, anywhere to be able to get started with development as well as to have a path to, uh, accelerated path to production for their applications. So some of what we've done in terms of simplicity, which, as you said is extremely important in this environment, is to really make it easy to get started on. Some of the announcements are around build packs and the integration of cloud code are plug ins to the development environment directly into our serverless environment. And that's the type of thing that gets me excited. And I think I'm very passionate about that because it's something that applies to everyone. Uh, you know, regardless of where they are or what type of person they are, they can get started with development. And that can be a path to economic renewal and growth not just for companies, but for individuals. And that's a mission that we're extremely passionate about. Google Cloud >>Apartment Poly Thank you so much for sharing all the updates. Congratulations to the team. And definitely great to hear about how you're helping customers in these challenging times. >>Thank you for having us on. >>Thank you. So great to see you again. >>Alright. Stay tuned for more coverage from stew minimum and, as always, Thank you for watching the Cube. Yeah, yeah.
SUMMARY :
happy to welcome back program two of our Cube alumni. Good to be here. That impact has been on on you and your business. And one of the things I wanted to highlight is, as we all adjust to this Yes, eso to help our customers with the application modernization You know, customers need to be data driven. And one of the things that I wanted to just share was that our customers as they I be thinking of this as a management capability that's similar to like what? all of the things that we provide in terms of automation. what they're doing to modernize what's new that they should be aware of this year. And the good news, of course, here is you know, this is a time tested platform. Run is one of the options there to help give us a bridge to get to server list. in particular because for a retailer in the Cove in 19 crisis, to be able to bring new applications Maybe I've been in the space to long. done is build all of our services from the ground up with automation, Next online, you can have the final take away for customers. around build packs and the integration of cloud code are plug ins to the development environment And definitely great to hear about how you're helping customers in these challenging times. So great to see you again. Stay tuned for more coverage from stew minimum and, as always, Thank you for watching the Cube.
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Ven Savage, Morgan School District | Next Level Network Experience
>>from around the globe. It's the Cube with digital coverage of next level network experience event brought to >>you by info blocks. Okay, welcome back, everyone. This is the Cube's coverage of the next level networking experience. Virtual event within four blocks. I'm John Furrow, your host of the Cube. We're here in our Palo Alto, Calif. Studios as part of our remote access during Covic, getting the interviews and the stories and sharing that with you. We got a great guest here, then savages the network operations manager at Morgan School District in Utah. A customer of info blocks to share a story. Then thanks for coming on. >>Thanks for having >>me. First of all, the Red Sox had a plus interview. I would say right now is gonna go great. Go Sox. Which baseball was in season. Great to have you on. Um, >>we'll get there. We'll >>get there. Um, my Yankee fans say when I say that. But anyway, Miss baseball, um, you know. But that brings up covert 19 baseball season sports. Life has been impacted. Your district. Like many school districts around the world, we're told to shut down, send workers home. That meant sending kids home, too. So we got the educators, get the administration, and you've got the kids all going home. >>Yeah. >>What did you do to keep things going? Because then stop. They had to do the remote learning and new things were emerging. New patterns, new traffic, new kinds of experiences. What did you learn? What's going on? >>Well, first we tried to lock the doors and pretend we weren't there, but they found us. Um, really? I mean, real quickly in our school district, we're not a 1 to 1 operation, so the, uh that caused a big change for us. Um, we had to quickly adapt. And we chose to use chromebooks because that's what we have for the students to use in their classes. So getting that, uh, squared away and send out into the family's was was a big challenge. But then on top of that being the school district, we then had to decide. Okay, how do we protect and filter provide the filtering that the students are gonna need even though they're at home? So there's some relative safety there when they're online and and accessing your email and things like that. So those were. Our two are probably our two. Biggest hurdles was, you know, ramping up the devices and then and then providing, making sure, you know, the network access from a filtering and consistency standpoint was going to work. >>You know, I got to ask you because I see this kind of disruption you don't You don't read about this in the i t. Manual around disaster recovery and, you know, disruption to operations. But essentially, the whole thing changes, but you still got to connect to the network, DNS. You gotta get the access to the content. You got content, you get systems. You got security all to be managed while in flight of dealing with connection points that remote. So you've got the disruption and the craziness of that, and then you've got this big I o t experiment basically edge of the network, you know, in all over the place. You know, on one hand, you kind of geek out and say, Wow, this is really kind of a challenge is an opportunity to solve the problem at the same time, you know, What do you do? So take us through that because that's a is a challenge of locking down the security in a borderless environment. People are everywhere. The students business has to get done. You got to resolve to. The resource is >>so thankfully, we had migrated If it blocks several years ago. Um and just this last, I would say in October, I finally got us on. Ah, cloud the blocks. One threat defense Cloud portion of it too. So from a security standpoint, we already had a really good, um foundation in place from both the DNs aspect and the DNS security aspect. Um so that was to be honest, most users. It was seamless transition. In many regards, both users didn't even realize they were being, You know, pushed through the info blocks is cloud DNs server, you know, which was providing security and filtering. So that was a big plus for us because it it was less man hours. We had to spend troubleshooting people's DNS resolutions. Why sites Wouldn't you know? Maybe they weren't being filtered correctly. All that was was to be honest, perfect. Where other platforms we had previously were just a nightmare to manage, >>like, for example, of the old way versus the new way here and marital, is it? What files configuration will take us through? What? You >>know, it was like a separate. It was a separate product content filter that works in conjunction with the firewall. Um, and I'm not going to name the company's name. I don't want, you know, even though many company but it seemed with that product we were spending, on average about 3 to 4 hours a day fixing false positives just from a filtering aspect because it would interfere with the DNS. And it does. It didn't really do it. I mean, how it filters is not based on DNS. Totally right. So by migrating temple blocks are DNS and the filtering the security is all handling at the DNs level. And it was just much more, um, to be I mean, frankly, honestly, is much more invisible to the end user. So >>more efficient. You decouple filtering from DNs resolution. Got it. All right, this is the big topic. I've been talking with info blocks people on this program in this event is on how this new d d I layer DNs d XP and I p address management kind of altogether super important. It's critical infrastructure Yeah. No spoilers, Enterprise. You're borderless institution. Same thing you go to school as a customer. How does the d I lay out this foundational security play for delivering this next level experience? What's your take on that? >>Well, for our like, for a school platform, we we use it in a number of ways. Besides, I mean, the filtering is huge, but just for the ability, like, for example, one of the components is is response policy zones or DNS firewalls what they call it, and that allows you one to manage, um, traditional, like DNS names, right? P addresses you can. You can manage those by creating essentially a zone that is like a white list of blacklist rewrite. So you've got a lot of control, and again it's filtering at the DNs level, so it's looking based on DNS responses inquiry. The other aspect of that is, is the feeds that you receive from info blocks. So by subscribing to those, we, um we have access to a lot of information that info Blocks and their partners have created identifying, you know, bad actors, malware attack vectors based on again DNs, uh, traffic, if you will, and so that takes a load office. Not having to worry. I'm trying to do all that on our own. I mean, we've seen a lot of attacks minimized because of the feeds themselves. So that again frees us up. We're a very small school district. In some regards, there's a I am the only network person in the district, and there's like, a total of four of us that manage, you know, kind of the support aspect. And so, being able to not have to spend time researching or tracking down, you know, breaches and attacks as much because of the DNS. Security frees me up to do other things, you know, like in the more standard networking realm, from a design and implementation. >>Great. Thanks for sharing that. I want to ask about security as a very competitive space security here and everyone promising it different things at different security things. You know, by I gotta ask you, why did you guys decide to use info blocks and what's the reason behind it? >>Well, to be frankly honest, I'm actually in info blocks trainer and I've been training for 15 years, so I kind of had an agenda when I first took this job to help out the school district. In my experience, I've been doing working in networking for over 20 years. And in my experience, I ever boxes one of the most easy and in best managed DNS solutions that I've come across. So, um, you know, I might be a little biased, but I'm okay with that. And so I I pushed us to be honest, to get there and then from the security aspect has all that has evolved. It just makes to me it makes sense. Why not wrap the more things you can maybe wrapped together. And so you know, when you're talking about attacks, over 90% of attacks use DNS. So if I have a solution that is already providing my DNS and then wraps the security into it, it just makes the most sense for me. >>Yeah. I mean, go back. The info box is DNA. You got cricket. Liu Stuart Bailey, the founder, was this is zero. This didn't just wake up one day and decided to start up these air practitioners early days of the Internet. They know DNS cold and DNS is we've been evolved. I mean, and when it needs that when you get into the DNS. Hacks and then you realize Okay, let's build an abstraction layer. You've seen Internet navigation discovery, all the stuff that's been proven. It is a critical infrastructure. >>Well, and to be honest, it's It's one of those services that you can't can't filter the firewall right. You have to have it. You have to. It's that foundation layer. And so it makes sense that Attackers air leveraging it because the fire will has to let it through in and out. And so it's a natural, almost a natural path for them to break in. So having something that speaks native DNS as part of your security platform makes more sense because it it can understand and see those attacks, the more sophisticated they become as well. >>So I gotta ask you, since you're very familiar info blocks and you're actually deploying its great solution. But I got this new DD I Layer, which is an abstraction, is always a great evolution. Take away complexity and more functionality. Cloud certainly cloud natives everywhere. That's but if it's for what is the update, if if I'm watching this month, you know I've been running DNS and I know it's out there. It's been running everything. And I got a update, my foundation of my business. I got to make my DNS rock solid. What's the new update? What's info blocks doing now? I know they got DNS chops seeing that on it. What's new about info blocks? What do you say? >>Well, it's, you know, they have a couple things that they've been trying to modify over the last several years. In my opinion, making more DNS like a you know, like software as a service, you know, service on demand, type of approach. That's a yes. So you have the cloud components to where you can take a lot of the heavy lifting, maybe off of your network team's shoulders. Because it is, it is. Um, I think people will be surprised how many customers out there. I have, ah, teams that are managing the DNS and even the D HCP aspect that that's not really what their experiences and then they don't They don't have, ah, true, maybe background Indians, and so having something that can help make that easier. It's almost, you know, hey, maybe used this term it almost sounds like it's too simple, but it's almost like a plug and play approached for some. For some environments, you know you're able to pop that in, and a lot of probably the problems they've been dealing with and not realizing what the root cause was will be fixed. So that's always a huge component with with info blocks. But their security is really what's come about in the last several years, Um, and and back as a school district, you know, our besides securing traffic, which every customer has to do, um, we have our you know, we're We have a lot of laws and regulations around filtering with with students and teachers. So anyone that's using a campus own device And so for us this I don't think people realized that the maturity that the filtering aspect of the blocks one defence now it's it's really evolved over the last couple of years. It's become a really, really good product and, like I said earlier, just work seamlessly with the data security. So it is going to be using >>an SD Wan unpacked everything. You go regular root level DNs is it? So I gotta ask you. How is the info blocks helping you keep network services running in system secure? >>Well, I think I think we're more on just the DNs d It does R d eight DNS and DCP. So from that standpoint, you know, in the five years almost we've been running that aspect. We have had very little if if maybe one or two incidents of problems with, you know from a DNS TCP so so are our users are able to connect, you know, when they turn on their computer To them, the Internet's up. You know, there's no there's no bumps in the road stopping them from from being able to connect. So that's a huge thing. You know, you don't have to deal with those Those constant issues again is a small team that just takes time away from the big projects. You're trying to, um, and then to the being able to now combine things. Security filtering solution. Uh, that alone has probably saved us. Oh, we'll probably you know, upwards of 500 man hours in the last eight months. So where normally we would be spending those hours again, troubleshooting issues that false positives, things like that. And there's a small team that just sucks the life out of you when you have to. You always spend time on that. >>I mean, you always chasing your tails. Almost. You want to be productive. Automation plays >>a >>key role in that, >>right? Yeah. >>So I got to ask you, you know, just a general question. I'm curious. You know, one of the things I see is sprawling of devices. WiFi was a great example that put an access point up a rogue access point, you know, as you get more connections. De HCP was amazing about this is awesome. But also, you had also de HCP problem. You got the the key Management is not just around slinging more d HDP around. So you got the trend? Is more connections on the eyepiece? Not how does info blocks make that easier? Because for people who may not know, the DNS ends announcing TCP and IP address management. They're all kind of tied together. Right? So this >>is the >>magic of DD I in my head. I want to get your thoughts on how you see that. Evolving. >>Yeah, I think that's another kind of back twice. It's kind of almost like a plug and play for a lot of customer environments. They're getting, you know, you're getting the DSP, DNs and eye Pam all wrapped in once you have this product that speaks, well, those languages, if you will and that And, um along with some of the reporting services and things of that nature. Um, when I look for, like, a Mac address in my influx database, I'm not just going to get ah, Mac address and what the i p addresses. I'm not just going to get the DNs like the host name. Maybe you know, the beauty and fully qualified domain name. Either I have the ability to bring in all this information that one. The client is communicating with the DCP DNS server on top of things like metadata that you can configure in the database to help really color in the picture of your network. So when you're looking at what device is using this I p when we talk about rogue devices or things like that, uh, I can get so much more information out of info blocks that almost almost to the point where you're almost being able to nail down the location of where the devices that even if it's a wireless client because it works in conjunction with some of our wireless appointments, too. So within, you know, a matter of minutes we have almost all the information we would need to take whatever action is appropriate for something like that, that getting used to take us hours and hours to troubleshoot. >>Appreciate a lot of the other interviews I've done with the info blocks, folks. One of the things that came out of them is the trailing. You can see the trail they're getting. They got to get in somewhere. DNS is the footprints of there you got? That's the traffic, and that's been helping on a potential attacks in D DOS is, for example, no one knows what that is, but DNS is what he said. A lot of the surface areas, DNS. With the hackers are makes it easier to find things. >>Well, you know, by integrating with the cloud I've I've got, you know, that the cloud based with the blocks one, it added a advanced DNS security, which helps protect skins Adidas as well as any cast to help provide more availability because I'm pushing on my DNs traffic through those cloud servers. It's like I've I'm almost equivalent of a very large organization that would normally spend millions of millions of dollars trying to do this on their own. So I'm getting the benefits and kind of the equivalent from that cloud hybrid approach that normally we would never have have. The resource is, >>Well, then I really appreciate you taking the time out of your busy day to remote into the Cube studios. Talk about next level networking experience, so I want to just ask you, just put your experience hat on. You've been You've seen some waves. You've seen the technology evolve when you hear next level networking and when you hear next level networking experience almost two separate meetings. But next level networking means next level. Next level networking experience means is some experience behind it. One of those two phrases mean to you next level networking and next level networking experience. >>Well, to me, I always look at it as the evolution of being able to have a user experience that's consistent no matter where you're located, with your home in your office and special with in today's environment. We have to be able to provide that consistent experience. But what I think what a lot of people may not think about or my overlook if you're just, you know, more of an end user is along with that experience, it has to be a consistent excess security approach. So if I'm an end user, um, I should be able to have the access the, um and the security, which, you know, you know, filtering all that fun stuff to not just allow me the connectivity, but to bring me, you know, that to keep the secure wherever I met. And ah, um, I think schools, you know, obviously with code and in the one the one that everyone was forced to do. But I think businesses And generally I think that's, you know, years ago, Cisco when I worked with Cisco, we talked about, you know, the remote user of the mobile user and how Cisco is kind of leading, uh, the way on that. And I think, you know, with the nature of things like this pandemic, I think being able to have your your users again have that consistent experience, no matter where they're at is going to be key. And so that's how I see when I think of the network evolution, I think that's how it it has to go. >>Well, we appreciate your your time sharing your insights Has a lot of a lot of people are learning that you've got to pour the concrete to build the building. DNS becoming kind of critical infrastructure. But final question for you. I got you here, you know? How you doing? Actually, schools looks like they're gonna have some either fully virtual for the next semester or some sort of time or set schedule. There's all kinds of different approaches. This is the end of the day. It's still is this big i o t experiment from a traffic standpoint. So new expectations create new solutions. What do you see on the horizon? What challenges do you see as you ride this way? Because you've got a hold down the fort, their school district for 3000 students. And you got the administration and the faculty. So you know What are you expecting? And what do you hope to see Evolve Or what do you want to stay away from? What's your opinion? >>I think? I think my my biggest concern is, you know, making sure our like, our students and staff don't, uh, you know, run into trouble on by say that more from, you know, you know, by being, you know, being exposed to attacks, you know, their data with Delta becomes, you know, comes back to our data as a district. But, you know, the student data, I think I think, you know, with anything kids are very vulnerable. Ah, very role, vulnerable targets for many reasons. You know, they're quick to use technology that quick to use, like social media, things like that. But they're they're probably the first ones to do security Does not, you know, across their mind. So I think my big my big concern is as we're moving this, you know, hybrid, hybrid approach where kids can be in school where they're going to be at home. Maybe they'll change from the days of the week. It'll fluctuate, uh, keeping them secure, you know, protecting them from themselves. Maybe in a way, if I have to be the guy is kind of the grumpy old dad it looked at. I'm okay with wearing that hat. I think that's my biggest. Our concern is providing that type of, uh, stability and security. So parents at the end of that could be, you know, I have more peace of mind that their kids you know, our online even more. It's great >>that you can bring that experience because, you know, new new environments, like whether it zooming or using, try and get the different software tools that are out there that were built for on premise premises. You have now potentially a click here. Click there. They could be a target. So, you know, being safe and getting the job done to make sure they have up time. So the remote access it again. If you've got a new edge now, right? So the edge of the network is the home. Exactly. Yeah. Your service area just got bigger. >>Yeah. Yeah, we're in. You know, I'm everybody's guest, whether they like it or not. >>I appreciate that. Appreciate your time and good luck. And let's stay in touch. Thanks for your time. >>Hey, thanks for having me. You guys have a good rest of your weekend? Day two. State State. >>Thank you very much. It's the Cube's coverage with info blocks for a special next level networking experience. Pop up event. I'm John for the Cube. Your host. Thanks for watching. Yeah, yeah, yeah.
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It's the Cube with digital coverage of next you by info blocks. Great to have you on. we'll get there. um, you know. What did you do to keep things going? making sure, you know, the network access from a filtering and consistency standpoint experiment basically edge of the network, you know, in all over the place. blocks is cloud DNs server, you know, which was providing security and filtering. I don't want, you know, even though many company but Same thing you go to school as a customer. lot of information that info Blocks and their partners have created identifying, you know, why did you guys decide to use info blocks and what's the reason behind it? And so you know, when you're talking about attacks, over 90% of attacks use DNS. I mean, and when it needs that when you get into the DNS. Well, and to be honest, it's It's one of those services that you can't can't What do you say? So you have the cloud components to where you can take a lot of the heavy lifting, maybe off How is the info blocks helping you keep network services running in system secure? So from that standpoint, you know, in the five years almost we've I mean, you always chasing your tails. Yeah. you know, as you get more connections. I want to get your thoughts on how you see that. So within, you know, a matter of minutes we have almost Appreciate a lot of the other interviews I've done with the info blocks, folks. Well, you know, by integrating with the cloud I've I've got, you know, that the cloud based You've seen the technology evolve when you hear next but to bring me, you know, that to keep the secure wherever I met. I got you here, you know? on by say that more from, you know, you know, by being, So, you know, being safe and getting the job done to make sure they have You know, I'm everybody's guest, whether they like it or not. I appreciate that. You guys have a good rest of your weekend? Thank you very much.
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Will Grannis, Google Cloud | CUBE Conversation, May 2020
(upbeat music) >> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Everyone, welcome to this CUBE conversation. I'm John Furrier with theCUBE, host of theCUBE here in our Palo Alto office for remote interviews during this time of COVID-19. We're here with the quarantine crew here in our studio. We've got a great guest here from Google, Will Grannis, managing director, head of the office of the CTO with Google Cloud. Thanks for coming on, Will. Appreciate you spending some time with me. >> Oh, John, it's great to be with you. And as you said, in these times, more important than ever to stay connected. >> Yeah, and I'm really glad you came on because a couple of things. One, congratulations to Google Cloud for the success you guys had. Saw a lot of big wins under your belt, both on the momentum side, on the business side, but also on the technical side. Meet is available now for folks. Anthos is doing very, very well. Partner ecosystem's developing. Got some nice use cases in vertical markets, so I want to get in and unpack with you. But really, the bigger story here is that the world has seen the future before it was ready for it. And that is the at-scale challenge that the COVID-19 has shown everyone. We're seeing the future has been pulled forward. We're living in a virtualized environment. It's funny to say that, virtualization (laughs). Server virtualization is a tech term, but that enabled a lot of things. We're living in a virtualized world now 'cause we have to, but this is going to set in motion a series of new realities that you guys have been experiencing and supporting for many, many years. But now as a provider of Google Cloud, you guys have to operate at scale, you have. And now the whole world realizes that scale is a big deal. And so you guys have had some successes. I want to get your thoughts on the this at scale problem that the world now realizes. I mean, everyone's at home. That's a disruption that was unforecasted. Whether it's under-provisioning VPNs in IT to a surface area for security, to just work and play. And activities are now confined, so people aren't convening anymore and it's a huge issue. What's your take on all this? >> Well, I mean, to your point just now, the fact that we can have this conversation and we can have it fluidly from our respective remote locations just goes to show you the power of information technology that underlies so many of the things that we do today. And for Google Cloud, this is not a new thing. And for Google, this is not a new thing. For Google Cloud, we had a mission of trying to help companies accelerate their transformation and enable them in these new digital environments. And so many companies that we've been working with, they've already been on the path to operating in environments that are digital, that are fluid. And when you think about the cloud, that's one of the great benefits of cloud, is that scalability in common with the business demand. And it also helps the scale situation without having to do the typical, "Oh wait, "you need to find the procurement people. "We need to find the server vendors. "We need to get the storage lined up." It really allows a much more fluid response to unexpected and unforecasted situations. Whether that's customer demand or in this case a global pandemic. >> Yeah, one of the things I want to get in with you on, you have explained what your job is there 'cause obviously Google's got a new CEO now for over a year. Thomas Kurian came from Oracle, knows the enterprise up and down. You had Diane Greene before that. Again, another enterprise leader. Google Cloud has essentially rebuilt itself from the original Google Cloud to be very enterprise centric. You guys have great momentum, and this is a world where cloud-native is going to be required. I mean, everyone now sees it. The tide has been pulled out, everything's exposed, all the gaps in business from a tech standpoint is kind of exposed. And so the smart managers and companies are looking at things and saying, "Double down on that. "Let's kill that. "We don't want to pay that supplier. "They're not core to our business." This is going to be a very rapid acceleration of what I call a vetting of the new set of players that are going to emerge because the folks who don't adapt to this new cloud-native reality, whether it's app workloads for banking to whatever are going to have to reinvent themselves now and reset and tweak to come out of this crisis. So it's going to be very cloud-native. This is a big deal. Can you share your reaction to that? >> Absolutely. And so as you pointed out, there are kind of two worlds that exist right now. Companies that are moving to become more digital and transform, and you mentioned the momentum in Google Cloud just over the last year, greater than 50% revenue growth. And in a greater than $10 billion run rate business and adding customers at a really quick clip, including just yesterday, Splunk, and along the way, Telecom Italia, Major League Baseball, Vodafone, Lowe's, Wayfair, Activision Blizzard. This transformation and this digitization is not just for a few or just for any one industry. It's happening across the board. And then you add that to the implementations that have been happening across Shopify and the Spotify and HSBC, which was a early customer of ours in the cloud and it already has a little bit of a headstart into this transformation. So you see these new companies coming in and seeing the value of digital transformation. And then these other companies that have kind of lit the path for others to consider. And Shopify is a really good example of how seeing drastic uptick in demand, they're able to respond and keep roughly half a million shops up and running during a period of time where many retailers are trying to figure out how to stay online or even get online. >> Well, what is your role at Google? Obviously, you're the managing director. Title is managing director, head of the office of the CTO. We've seen these roles before, head of the CTO, obviously a technical role. Is it partnering with the CEO on strategy? Is it you're tire kicking new things? Are you overseeing any strategic initiatives? What is your role? >> So a little bit of all of those things combined into one. So I spent the first couple of decades of my career on the other side of the fence in the non-tech community, both in the enterprise. But we were still building technology and we were still digitally minded. But not the way that people view technology in Silicon Valley. And so spending a couple of decades in that environment really gave me insights into how to take technology and apply them to a specific problem. And when I came to Google five years ago, selfishly, it was because I knew the potential of Google's technology having been on the other side. And I was really interested in forming a better bridge between Google's technology and people like me who were CTOs of public companies and really wanted to leverage that technology for problems that I was solving. Whether it was aerospace, public sector, manufacturing, what have you. And so it's been great. It's the role of a lifetime. I've been able to build the team that I wanted as an enterprise technologist for decades and the entire span of technologies at our disposal. And we do two things. One is we help our most strategic customers accelerate their path to cloud. And two, we create these signals by working with the top companies moving to the cloud and digitally transforming. We learned so much, John, about what we need to build as an organization. So it also helps balance out the Google driven innovation with our customer driven innovation. >> Yeah, and I can attest. I've been watching you guys from day one. Hired a lot of great enterprise people that I personally know. So you get in the enterprise chops and stuff and you've seen some progress. I have to ask you though, because first of all, big fan of Google at scale from knowing them from when they were just a little search engine to what they are now. There was an expression a few years ago I heard from enterprise customers. It goes along the lines like this. "I want to be like Google," because you guys had a great network, you had large scale. You had all these things that were like awesome. And then they realized, "Well, we can't be like Google. "We don't have SREs. "We don't have large scale data centers." So there was a little bit of a translation, and I want to say a little bit of a overplay of the Google hand, and you guys had since realized that it wasn't just people are going to bang at your doorstep and be adopting Google Cloud because there was a little bit of a cultural disconnect from wanting to be like Google, then leveraging Google in their business as they transform. So as you guys have moved from that, what's changed? They still want to be like Google in the sense you have great security, got a great network, and you've got that scale. Enterprises are a little bit slower to adopt that, which you're focused on now. What is the story there? Because I think that's kind of the theme that I'm hearing. Okay, Google now understands me. They know I'm not as fast as Google. They got super great people (laughs). We are training our people. We're retraining them. This is the transformation that they're going through. So you might be a little bit ahead of them certainly, but now they need to level up. How do you respond to that? >> Well, a lot of this is the transformation that Thomas has been enacting over the last year plus. And it comes in kind of three very operational or tactical pillars that I think of. First, we expanded our customer and we continue to expand our customer facing teams. Three times what they were before because we need to be there. We need to be in those situations. We need to hear from the customer. We need to learn more about the problems they're trying to solve. So we don't just take a theoretical principle and try to overlay it onto a problem. We actually get very visceral understanding of what they're trying to solve. But you have to be there to gain that empathy and that understanding. And so one is showing up, and that has been mobilizing a much larger engine of customer facing personnel from Google. Second, it's also been really important that we evolve our own. Just as Google brought SRE principles and principles of distributed systems and software design out to the world, we also had a little bit to learn about transitioning from typical customer support and moving to more customer experience. So you've seen that evolution under Thomas as well with cloud changing... Moving from talking about support to talking about customer experience, that white glove experience that our customers get and our partners get from the beginning of their journey with us all the way through. And then finally making sure that our product roadmap has the solutions that are relevant across key priority industries for us. Again, that only comes from being present from having a focus in those industries and then developing the solutions that progress those companies. This isn't about taking a principle and trying to apply it blindly. This is about adding that connection, that really deep connection to our customers and our partners and letting that connection manifest the things that we have to do as a product company to best support them over a long period of time. I mean, look at some of these deals we've been announcing. These are 10-year, five-year, multi-year strategic partnerships that go across the canvas of all of Google. And those are the really exciting scaled partnerships. But to your point, you can't just take SRE from Google and apply it to company X, but you can things like error budgets or how we think about the principles of SRE, and you can apply them over the course of developing technology, collaborating, innovating together. >> Yeah, and I think cloud-native is going to be a key thing. It's just my opinion, but I think one of those situations where the better mouse trap will win. If you're cloud-native and you have APIs and you have the kind of services, people will beat it to your doorstep. So I got to ask you, with Thomas Kurian on board, obviously, we've been following his career as well at Oracle. He knows what he's doing. Comes into Google, it's being built out. It's like a rocket ship at this point. What bet is he making and what bet are you guys making on behalf of your customers? If you had to boil it down to Google Cloud's big bet, what is the bet on the technology side? And what's the bet on the business side? >> Sure. Well, I've already mentioned... I've already hinted at the big strategy that Thomas has brought in. And that's, again, those three pillars. Making sure that we show up and that we're present by having a scaled customer facing organization. Again, making sure that we transition from a typical support mindset into more of a customer experience mindset and then making sure that those solutions are tailored and available for our priority industries. If I was to add more color to that, I think one of the most important changes that Thomas has personally been driving is he's been converting us to a partner-led business and a partner-led organization. And this means a lot of investments in large global systems integrators like Accenture and Deloitte. But this also means that... Like the Splunk announcement from yesterday, that isn't just a sell to. This is a partnership that goes deep across go-to market product and sell to. And then we also bring in very specific partners like Temenos in Europe for financial services or a CETA or a Rackspace for migrations. And as a result, already, we're seeing really incredible lifts. So for example, nearly 200% year over year increase in partner influenced revenue in Google Cloud and almost like a 13X year over year increase in new customers won by partners. That's the kind of engine that builds a real hyper-scale business. >> Interesting you mentioned Splunk. I want to get to that in a second, but I also noticed there was a deal with TELUS Group on eSIM subscriptions, which kind of leads me into the edge piece. There's a real edge component here with Google Cloud, and I think I had a conversation with Jennifer Lynn a few years ago, really digging into the built-in security and the value of the Google network. I mean, a lot of the scuttlebutt around the Valley and the industry is Google's got an amazing network. Software-defined networking is going to be a hot programmable area. So you got programmable networking and you got edge and edge security. These are killer areas that need innovation. Could you comment on what you guys are doing there and do you agree? Obviously, you have a killer network and you're leveraging it. Can you just give some insight into what's going on in those two areas? Network and then the edge. >> Yeah, I think what you're seeing is the manifestation of the progression of cloud generally. And what do I mean by that? It started out as like get everything to the data center. We kind of had this thought that maybe we could take all the workloads and we could get them to these centralized hubs and that we could redistribute out the results and drive the latency down over time so we can expand the portfolio of applications and services that would become relevant over time. And what we've seen over the last decade really in cloud is an evolution to more of a layered architecture. And that layered architecture includes kind of core data centers. It includes CDN capacity, points of presence, it includes edge. And just in that list of customers over the last year I mentioned, there were at least three or four telcos in there. And you've also probably heard and seen quite a bit of telco momentum coming from us in recent announcements. I think that's an indication that a lot of us are thinking about, how can we take technology like Anthos, for example, and how could we orchestrate workloads, create a common control plane, manage services across those three shells, if you will, of the architecture? And that's a very strategic and important area for us. And I think generally for the cloud industry, is expanding beyond the data center as the place where everything happens. And you can look at Google Fi, you can look at Stadia. You can look at examples within Google that go well beyond cloud as to how we think about new ways to leverage that kind of criteria. >> All right, so we saw some earnings come out on Amazon side as Google, both groups and Microsoft as well, all three clouds are crushing it on the cloud side. That's a tailwind, I get that. But as it continues, we're expecting post-COVID some redistribution of development dollars in projects. Whether it's IT going cloud-native or whatever new workloads. We are predicting a Cambrian explosion of new things from core to edge. And this is going to create some lifts. So I want to get your thoughts on you guys' strategy with go-to market, as well as your customers as they now have the ability to build workloads and apps with AI and data. There seems to be a trend towards the verticalization of whether it's sales and go-to market and/or specialism because you have horizontal scalability with cloud and you now have data that has distinct (chuckles) value in these verticals. So it's really seems to be... I won't say ratification, but in a way, that seems to be the norm. Whether you come into a market and you have specialization, but the data is there so apps can be more agile. Are you guys seeing that? And is that something that you guys are considering from an organization standpoint? And how do customers think about targeting vertical industries and their customers? >> Yeah, I bring this to... And where you started going there at the end of the question is exactly the way that we think about it as well. Which is we've moved from, "Here are storage offers for everybody, "and here's basic infrastructure for everybody." And now we've said, "How can we make sure "that we have solutions that are tailored "to the very specific problems that customers "are trying to solve?" And we're getting to the point now where performance and variety of technologies are available to be able to impose very specific solutions. And if you think about the substrate that has to be there, we mentioned you have to have some really great partners, and you have to have a roadmap that is focused on priority solution. So for example, at Google Cloud, we're very focused on six priority vertical areas. So retail, financial services, healthcare, manufacturing and industrials, healthcare life sciences, public sector. And as a result of being very focused in those areas, we can make more targeted investments and also align our entire go-to market system and our entire partner ecosystem... Excuse me, ecosystem around those bare specific priority areas. So for example, we work with CETA and HDA Healthcare very recently to develop and maintain a national response portal for COVID-19. And that's to help better inform communities and hospitals. We can use Looker to help with like a Commonwealth Care Alliance nonprofit and that helps monitor patient symptoms and risk factors. So we're using a very specific focus in healthcare and a partner ecosystem to develop very tailored solutions. You can also look at... I mentioned Shopify earlier. That's another great example of how in retail, they can use something like Google Meet, inherent reliability, scalability, security, to connect their employees during these interesting times. But then they can also use GCP, Google Cloud Platform to scale out. And as they come up with new apps and experiences for their shoppers, for their shops, they can rapidly deploy, to your point. And those solutions and how the database performs and how those tiers perform, that's a very tight-knit feedback loop with our engineering teams. >> Yeah, one of the things I'm seeing obviously with the virtualization of the COVID is that when the world gets back to normal, it'll be a hybrid. And it'll be a hybrid between reality, not physical and a hundred percent virtual, hybrid. And that's going to impact events too, media, to everything. Every vertical will be impacted. And I want to point out the Splunk deal and bring that back in because I want you to comment on the relevance of the Splunk deal in context to Splunk has a cloud. And they've got a great slogan, "Data for everywhere." "Data to everywhere," I think it is. But theCUBE, we have a cloud. Every company will have a cloud scale. At some level, we'll progress to having some sort of cloud because they have data. How are you guys powering those clouds? Because I think the Splunk deal is interesting. Their partner, their stock price was up out on the news of the deal. Nice bump there for Splunk, shout out to those guys. But they're a data company and now they're cross-platform. But they're not Google, but they have a cloud. So you know what I'm saying? So they need to play in all the clouds, but they need infrastructure (laughs), they need support. So how do you guys talk to that customer that says, "Hey, the next pandemic that comes, "the next crisis that's going to cause some "either social disruption or workflow disruption "or supply chain disruption. "I need to be agile. "I need to have full cloud scale. "And so I need to talk to Google." What do you say to them? What's the pitch? And does the Splunk deal mirror some of those capabilities? Or tie that together for us, the Splunk deal and how it relates to how to proof themselves for the future. Sorry. >> For example, with the Splunk cloud deal, if you take a look at what Google is already really good at, data processing at scale, log analytics, and you take a look at what Splunk is doing with their events and security incident monitoring and the rest, it's a really great mashup because they see by platforming on Google Cloud, not only do they get highly performing infrastructure. But they also get the opportunity to leverage data tools, data analytics tools, machine learning and AI that can help them provide enhanced services. So not just about capacity going up and down through periods of demand, but also enhancing services and continuing to offer more value to their customers. And we see that as a really big trend. And this gets at something, John, a little bit bigger, which is kind of the two views of the world. And we talked about very tailored, focused solutions. Splunk is an example of taking a very methodical approach to a partnership, building a solution specifically with partners. And in this case, Splunk on the security event management side. But we're always going to provide our data processing platform, our infrastructure for companies across many different industries. And I think that addresses one part of the topic, which is, how do we make sure that in periods of demand rapidly changing, and this goes back to the foundational elements of infrastructure as a service and elasticity. We're going to provide a platform and infrastructure that can help companies move through periods of... It's hard to forecast, and/or demand may rise and fall in very interesting ways. But then there's going to be times where we... Because we're not necessarily a focused use case where it may just be generalized platform versus a focused solution. So for example, in the oil and gas industry, we don't develop custom AI, ML solutions that facilitate upstream extraction, for example. But what we do do is work with renewable energy companies to figure out how they might be able to leverage some of our AI machine learning algorithms from our own data centers to make their operations more efficient and to help those renewable energy companies learn from what we've learned building out what I consider to be a world leading renewable energy strategy and infrastructure. >> It's a classic enablement model where you're enabling your platform for your customers. Okay, so I've got to ask the question. I asked this to the Microsoft guys as well because Amazon has their own SaaS stuff. But really more of end to end. The better product's usually on the ecosystem side. You guys have some killer SaaS. G Suite, we're a customer. We use the G Suite really deeply. We also use some Bigtable as well. I want to build a cloud, we have a cloud, CUBE cloud. But you guys have Meet. So I want to build my product on Google Cloud. How do I know you're not going to compete with me? Do you guys have those conversations around the trade-off between the pure Google services, which provide great value for the areas where the ecosystem needs to develop those new areas that are going to be great markets, potentially huge markets that are out there. >> Well, this is the power of partnership. I mentioned earlier that one of the really big moves that Thomas has made has been developing a sense of partners. And it kind of blurs the line between traditional, what you would call a customer and what you would call a partner. And so having a really strong sense of which industries we're in, which we prioritize, plus having a really strong sense of where we want to add value and where our customers and partners want to add that value. That's the foundational, that's the beginning of that conversation that you just mentioned. And it's important that we have an ability to engage not just in a, "Here's the cloud infrastructure piece of the puzzle." But one of the things Thomas has also done and a key strategy of his has been to make sure that the Google Cloud relationship is also a way to access all amazing innovation happening across all of Google. And also help bring a strategic conversation in that includes multiple properties from across Google so that an HSBC and Google and have a conversation about how to move forward together that is comprehensive rather than having to wonder and have that uncertainty sit behind the projects that we're trying to get out and have high velocity on because they offer so much to retail bank, for example. >> Well, I've got a couple more questions and then I'll let you go. I know you got some other things going on. I really appreciate you taking the time, sharing this great insight and updates. As a builder, you've been on the other side of the table. Now you're at Google heading up the CTO. Also working with Thomas, understanding the go-to market across the board and the product mix. As you talk to customers and they're thinking... The good customers are thinking, "Hey, "I want to come out of this COVID on an upward trajectory "and I want to use this opportunity "to reset and realign for the future." What advice do you have for those enterprises? They could be small, medium-sized enterprises to the full large big guys. And obviously, cloud-native, we've talked some of that already, but what advice would you have for them as they start to really prioritize, as some things are now exposed? The collaboration, the tooling, the scale, all these things are out there. What have you seen and what advice would you give a CXO or CSO or a leader in the industry to think about and how they should come out of this thing, how they should plan, execute, and move forward? >> Well, I appreciate the question because this is the crux of most of my day job, which is interacting with the C-suite and boards of companies and partners around the world. And they're obviously very interested to learn or get a data point from someone at Google. And the advice generally goes in a couple of different directions. One, collaboration is part of the secret sauce that makes Google what it is. And I think you're seeing this right now across every industry, and whether you're a small, medium-sized business or you're a large company, the ability to connect people with each other to collaborate in very meaningful ways, to share information rapidly, to do it securely with high reliability, that's the foundation that enables all of the projects that you might choose to... Applications to build, services to enable, to actually succeed in production and over the long haul. Is that culture of innovation and collaboration. So absolutely number one is having a really strong sense of what they want to achieve from a cultural perspective and collaboration perspective and the people because that's the thing that fuels everything else. Second piece of advice, especially in these times where there's so much uncertainty, is where can you buy down uncertainty with...? You can learn without a high penalty. This is why cloud I think is really, really finding super scale. It was already on the rise, but what you're seeing now as you've laid back to me during this conversation, we're seeing the same thing, which is a high increase in demand of, "Let's get this implemented now. "How can we do this more? "This is clearly one way to move through uncertainty." And so look for those opportunities. I'll give you a really good example. Mainframes, (chuckles) one of the classic workloads of the on-premise enterprise. There are all sorts of potential magic solves for getting mainframes to the cloud and getting out of mainframes. But a practical consideration might be maybe you just front-end it with some Java. Or maybe you just get closer to other data centers within a certain amount of milliseconds that's required to have a performant workload. Maybe you start chunking at art and treat the workload a little bit differently rather than just one thing. But there are a lot of years and investments in our workload that might run on a mainframe. And that's a perfect example of how biting off too much might be a little bit dangerous, but there is a path to... So for example, we brought in a company called Cornerstone to help with those migrations. But we also have partnerships with data center providers and others globally plus our own built infrastructure to allow even a smaller step per se for more close proximity location of the workload. >> It's great. Everything kind of has a technical metaphor connection these days when you have a internet, digitally connected world. We're living in the notion of a digital business, was a research buzzword that's been kicked around for years. But I think now COVID-19, you're seeing the virtual or digital, it's really digital, but virtual reality, augmented reality is going to come fast too. Really get people to go, "Wow. "Virtualization of my business." So we've been kind of kicking around this term business virtualization just almost as a joke, but it's really more about, okay, this is about a new world, new opportunity to think about when we come out of this, we're going to still go back to our physical world. Now, the hybrid now kicks in. This kind of connects all aspects of business in every vertical. It's not like, "Hey, I'm targeting this industry." So there might be unique solutions in those industries, but now the world is virtualized. It's connected, it's a digital environment. These are huge concepts that I think has kind of been a lunatic fringe idea, but now it's brought mainstream. This is going to be a huge tailwind for you guys as well as developers and entrepreneurs and application software. This is going to be, we think, a big thing. What's your reaction to that? Based on your experience, what do you see happening? Do you agree with it? And do you have anything you might want to add to that? >> Maybe one kind of philosophical statement and then one more... I bruised my shins a lot in this world and maybe share some of the black and blue coloration. First from a philosophical standpoint, the greater the crisis, the more open-minded people become and the more creative people get. And so I'm really excited about the creativity that I'm seeing with all of the customers that I work with directly, plus our partners, Googlers. Everybody is rallying together to think about this world differently. So to your point, a shift in mindset, there are very few moments where you get this pronounced change and everyone is going through it all at the same time. So that creates an opportunity, a scenario where you're bold thinking new strategies, creativity. Bringing people in in new ways, collaborating in new ways and offer a lot of benefits. More practically speaking and from my experience, building technology for a couple decades, it has an interesting parallel to building tightly coupled, really large maybe monoliths versus microservices and the debate around, "Do we build small things "that can be reconfigured and built out by others "or built upon by others more easily? "Or do we create a golden path and a more understood development environment?" And I'm not here to answer the question of which one's better because that's still a raging debate. But I can tell you that the process of going through and taking a service or an application or a thing that we want to deliver to a customer, that one of our customers wants to deliver to their customer. And thinking about it so comprehensively that you're able to think about it in, what are its core functions? And then thinking methodically about how to enable those core functions. That's a real opportunity, and I think technology to your point is getting to the place where if you want to run across multiple clouds, this is the Anthos conversation were recently GA'ed. Global scale platform, multicloud platform, that's a pretty big moment in technology. And that opens up the aperture to think differently about architectures and that process of taking an application service and making it real. >> Well, I think you're right on the money. I think philosophically, it's a flashpoints opportunity. I think that's going to prove to be accelerating and to see people win faster and lose faster. You're going to to see that quickly happen. But to your point about the monolith versus service or decoupled based systems, I think we now live in a world where it's a systems view now. You can have a monolith combined with decoupled systems. That's distributed computing. I think this is the trend, it's a system. It's not one thing or the other. So I think the debate will continue just like VI versus Emacs (chuckles). We don't know, right? People are going to have the debate, but if you think about it as a system, the use case defines your architecture. That's the beautiful thing about the cloud. So great insight, I really appreciate it. And how's everything going over there at Google Cloud? You've got Meet that's available. How's your staff? What's it like inside the Googleplex and the Google Cloud team? Tell us what's going on over there. People still working, working remote? How's everyone doing? >> Well, as you can tell from my scenario here, my backdrop, yes, still part at work. And we take this as a huge responsibility. These moments as a huge responsibility because there are educators, loved ones, medical professionals, critical life services that run on services that Google provides. And so I can tell you we're humbled by the opportunity to provide the backbone and the platform and the people and the curiosity and the sincere desire to help. And I mentioned a couple of ways already just in this conversation where we've been able to leverage some of our investments technology to help form people that really gets at the root of who we are. So while we just like any other humans are going through a process of understanding our new reality, what really fires us up and what really charges us up is because this is a moment where what we do really well is very, very important for the world in every geo, in every vertical, in every use case, in every solution type. We're taking that responsibility very seriously. And at the same time, we're trying to make sure that all of our teams as well as all of the teams that we work with and our customers and partners are making it through the human moment, not just the technology moment. >> Well, congratulations and thanks for spending the time. Great insight, Will. Appreciate, Will Grannis, managing director, head of technology office of the CTO at Google Cloud. This certainly brings to the mainstream what we've been in the industry been into for a long time, which is DevOps, large scale, role of data and technology. Now we think it's going to be even more acute around societal benefits. And thank God we have all those services for the frontline workers. So thank you so much for all that effort and thanks for spending the time here in theCUBE Conversation. Appreciate it. >> Thanks for having me, John. >> Okay, I'm John Furrier here in Palo Alto studios for remote CUBE Conversation with Google Cloud, getting the update. Really looking at the future as it unfolds. We are going to see this moment in time as an opportunity to move to the next level, cloud-native and change not only the tech industry but society. I'm John Furrier, thanks for watching. (upbeat music)
SUMMARY :
leaders all around the world, head of the office of the Oh, John, it's great to be with you. And that is the at-scale challenge just goes to show you the And so the smart managers and companies and seeing the value of head of the office of the CTO. and apply them to a specific problem. I have to ask you though, and software design out to the world, is going to be a key thing. That's the kind of engine that builds I mean, a lot of the and drive the latency down over time And this is going to create some lifts. substrate that has to be there, And that's going to impact and the rest, it's a really great mashup I asked this to the Microsoft guys as well And it kind of blurs the the industry to think about the ability to connect This is going to be a and I think technology to your and the Google Cloud team? and the sincere desire to help. and thanks for spending the time here We are going to see this moment in time
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Will Grannis, Google | CUBE Conversation, May 2020
from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation run welcome to this cube conversation I'm John Fourier with the cube host the cube here in our Palo Alto office for remote interviews during this time of covin 19 we're here with the quarantine crew here in our studio we got a great guest here from Google we'll Grannis managing director head of the office of the CTO with Google cloud thanks for coming on we'll appreciate you you spend some time with me Oh John's great to be with you and as you said in these times more important than ever to stay connected yeah and I'm really glad you came on because a couple things one congratulations to Google cloud for the success you guys had so a lot of big wins under your belt both on the momentum side on the business side but also on the technical side meat is available now for folks anthos is doing very very well partner ecosystem is developing got some nice used cases in vertical marker so I want to get in and unpack with you but really the bigger story here is that the world has seen the future before was ready for it and that is the at scale challenge that the Cova 19 has shown everyone we're seeing you know the future has been pulled forward we're living in a virtualized environment it's funny to say that virtualization has a server virtualization is a tech term but that enabled a lot of things we're living in a virtualized world now because we have to but this is gonna set in motion a series of new realities that you guys have been experiencing and supporting for many many years but now as a provider of Google cloud you guys have to operate at scale you have and now the whole world realizes that scale is a big deal and so you guys have had some successes I want to get your thoughts on the this at scale problem that the world now realizes I mean everyone's at home that's a disruption that was unfortunate whether it's under provisioning VPNs NIT to a surface area for security to just work and play and activities are now confined so people aren't convening anymore and it's a huge issue what's your take on all this well I mean to your point just now the fact that we can have this conversation we can have it blue idli from our respective remote locations just goes to show you the power of information technology that underlies so many of the things that we say and for Google Cloud this is not a new thing and for Google this is not a new thing for Google cloud we add a mission of trying to help companies accelerate their transformation and enable them in these new digital environments and so many companies that we've been working with they've already been on the path to operating an environments that are digital that are fluid and you think about the cloud that's one of the great benefits loud is that scalability income with the business demand and it also helps the scale situation without having to you know do the typical what you need to find the procurement people we need to find server vendors we need to get the storage lined up it really allows a much more fluid response to unexpected and unfortunate situations whether that's customer demand or you know in this case the global endemic yeah one of the things I want to get in with you I want to get you have explained your job is there because I see Google's got a new CEO now for over a year Tom's Korean came from Oracle knows the enterprise up and down you had Diane Greene before that again another enterprise leader Google Cloud has essentially rebuilt itself from the original Google cloud to be very enterprise centric you guys have great momentum and and this is a world where cloud native is going to be required I mean everyone now sees it the the tide has been pulled out there everything's exposed all the gaps in business from a tech standpoint it's kind of exposed and so the smart managers and companies are looking at things and saying double down on that let's kill that we don't want to pay that supplier they're not core to our business this is going to be a very rapid acceleration of what I call a vetting of the new the new set of players that are going to emerge because the folks who don't adapt to this new cloud native reality whether it's app workloads for banking to whatever they're gonna have to have to reinvent themselves now and reset and tweek to come out of this crisis so it's gonna be very cloud native this is a big deal can you share your your reaction to that absolutely and so as you pointed out there are kind of two worlds that exist right now companies that are moving to become more digital and transform and you mentioned the momentum I mean in Google cloud just over the last year greater than 50 percent revenue growth and you know and I greater than 10 billion dollar run rate business and adding customers that are really quick flip you know including you know just yesterday slung and you know along the way Telecom Italia Major League Baseball Vodafone Lowe's Wayfarer Activision Blizzard's so this is not you this transformation and this digitization is not just for you know a few or just for any one industry it's happening across the board and then you add that to the implementations that have been happening across you know Shopify and the Spotify and HSBC which was a early customer of ours in the cloud and it you know already has a little bit of a head start of this transformation so you see these new companies coming in and seeing the value of digital transformation and then these other companies that have kind of lit the path for others to consider and you know Shopify is a really good example of how seeing you know drastic uptick in demand they're able to responding you know roughly half a million shops up and running you know during a period of time where many retailers are trying to figure out how to stay online or you can get online well what is your role at Google I see you're the managing director title is managing director ahead of the office of the CTO we've seen these roles before you know head of this CTO you're off see technical role is it partnering with the CEO on strategy is it you kick tire kicking new things are you overseeing any strategic initiatives what is what is your role so a little bit of all those things combined into one so I I spent the first couple decades of my career on the other side of the in the non-tech you know community no in the enterprise where we were still building technology and we were still you know digitally minded but not the way that people view technology in Silicon Valley and so you know spending a couple decades in that environment really gave me insights into how to take technology and apply them to a specific problem and when I came to Google five years ago yeah selfishly it was because I knew the potential of Google's technology having been on the other side and I was really interested in forming a better bridge between Google's technology and people like me who were CTOs of public companies and really wanted the leverage that technology for problems that I was solving whether it was aerospace public sector manufacturing what-have-you and so it's been great it's the it's the role of a lifetime I've been able to build the team that I wanted as an enterprise technologist for decades and the entire span of technologies at our disposal and we do two things one is we help our most strategic customers accelerate their path loud and 2 we create these signals by working with the top companies moving to the cloud and digitally transforming we learned so much John about what we need to build as an organization so it also helps balance out the Google driven innovation with our customer driven innovation yeah and I could I can attest that we didn't watching you guys from the from day one hired a lot of great enterprise people that I personally know so you getting the enterprise chops and staff and getting you seeing some progress I have to ask you though because I first of all a big fan of Google at the scale from knowing them from when they were just a little search engine to what they are now the there was an expression a few years ago I heard from enterprise customers it was goes along the lines like this I want to be like Google because you guys had a great network you had large-scale you've had all these things that were like awesome and then they realized what we can't be like Google we don't have that sorry we don't have large-scale data centers so there was a little bit of a translation and I want to say a little bit of a overplay of the Google hand and you guys had since realized that you didn't it wasn't just people gonna bang your doorstep and be adopting Google cloud because there was a little bit of a cultural disconnect from wanting to be like Google then leveraging Google in their business as they transform so as you guys have moved from that what's changed they still want to be like Google in the sense you have great security got a great network you got that scale and it prizes a little bit slower to adopt that which you're focused on now what is that the story there because I think that's kind of the theme that I'm hearing okay Google now understands me they know I'm not as fast as Google they got super great people we are training our people we're treating you know retrain them this is the transformation that they're going through so you might be a little bit ahead of them certainly but now they need to level up how do you respond to that well a lot of this is the transformation that Thomas has been enacting you know over the last year plus and it comes in kind of three very operation or technical pillars that I think the first we expanded our customer and we continue to expand our customer facing themes you know three times what they were before because we need to be there we need to be in those situations we need to hear from the customer mean to learn more about the problems they're trying to solve so we don't just take a theoretical principle and try to overlay it onto a problem we actually get very visceral understanding of what trying to solve but you have to be there the game that empathy and that understanding and so one is showing up and that you know has been mobilizing a much larger engine the customer facing out personnel from Google second it's also been really important that we evolve our own you know just as Google brought sre principles and principles of distributed systems and software design out for the world we also had a little bit to learn about transitioning from typical customer support and moving to more customer experience so you've seen you know that evolution under on this as well with cloud changing you know moving from talking about support to talking about customer experience that white glove experience that our customers get our partners get from the beginning of their journey with us all the way through and then finally making sure that our product roadmap has the solutions that are relevant across be priority industries for us and you know that's again that only comes from being present from having a focus in those industry and then developing the solutions that progress those companies so again not this isn't about taking you know a principle and trying to apply it blindly this is about adding that connection that really deep connections to our customers and our partners and letting that connection manifest the things that we have to do as a product company the best support them over a long period some of these deals we've been announcing these are 10-year five-year multi-year strategic partnerships they go across the campus of you know all of you and you know those are the really exciting scaled partnerships but you know to your point you can't just take SR re from Google and apply it to company X but you can take things like error budgets or how we think about the principles of sree and you can apply them over the course of developing technology collaborating innovating together yeah and I think cloud native is gonna be a key thing and yeah I think what it's just my opinion but I think one of those situations where the better mousetrap will win if your cloud native and you have api's and you have the kind of services that people will will know beaded to your doorstep so I have to ask you with Thomas Korean on board obviously we've been following his career as well at Oracle he knows what he's doing comes in to Google it's being built out it's like a rocket ship at this point what bet is he making and what bet are you guys making on behalf of your customers what's the if you have to boil it down to Google clouds big bet what is the bet on the technology side and what's the bet on the business side sure well I've already mentioned you know I've already Internet's you know the big strategy that Thomas is brought in and you know that is the that's again those three pillars making sure that we show up and that we're present by having a scaled customer facing organization and making sure that we transitioned from you know a typical support mindset into more of customer experience mindset and then making sure that those solutions are tailored and available for our priority industries if I was to add you know more color to that I think one of the most important changes that Thomas has personally been driving as he's been converting us to a partner LED is and a partner led organization and this means a lot of investments in large mobile systems integrators like Accenture and Deloitte but this also means that like the Splunk announcement from yesterday that isn't just the cell >> this is a partnership it goes deep across go-to-market product and self do and then we also bring in very specific partners like Temenos in Europe for financial services or a SATA or a rack space for migrations and as a result the already we're seeing really incredible lifts so for example nearly 200 percent year-over-year increase in partner influenced revenue Google cloud and almost like a 13 X year-over-year increase in new customers one-bite partners that's the kind of engine that builds a real hyper scale does it's just saying you mentioned Splunk I want to get that in a second but I also notice there was a deal with Dallas group on ECM subscriptions which kind of leads me into the edge piece there's a real edge component here with Google cloud and I think I'd Akashi edge with Jennifer Lynn a few years ago really digging into the built-in security and the value of the Google Network I mean a lot of the scuttlebutt around the valley and the industry is you know Google's got an amazing network store a software-defined networking is gonna be a hot program programmable area so you got programmable networking and you got edge and edge security these are killer areas that need innovation could you comment on what you guys are doing there and do you agree I'm out see with you have a killer Network and you're leveraging it what's the can you just give some insight into what's going on those those two areas network and then the edge yeah I think what you're seeing is the manifestation of an of the progression of cloud generally what do I mean by that you know started out as like get everything to the data center you know we kind of had this thought that maybe we could take all the workloads and we could get them to these centralized hubs and they could redistribute out the results and you know drive the latency down over time so we span the portfolio of applications and services that would be relevant over time and what we've seen over the last decade really in cloud is an evolution >> more of a layered architecture and that layered architecture includes you know poor data centers that includes CDN capacity points of presence that includes edge and just in that list of customers over the last year I there were at least three or four telcos in there and you've also probably heard and seen quite a bit of telco momentum coming from asks in recent announcements I think that's an indication that a lot of us are thinking about how can we pick big technology like anthos for example and how could we orchestrate workloads create a common control play and you know manage services across those three shells if you will of the architecture and that's a that's a very strategic and important area for us and I think generally for the cloud industry easy it was expanding beyond the data center as the place where everything happens and you can look at you know Google Phi you look at stadia you can look at examples within Google they go well beyond cloud as to how we think about new ways to leverage that kind of creature all right so we saw some earnings come out on Amazon side as Google both groups and Microsoft well all three clouds are crushing it on the cloud side that's a tailwind I get that but as it continues we're expecting post kovat some you know redistribution of development dollars and projects whether it's IT going cloud native or whatever new workloads we are predicting a Cambrian explosion of new things from core to edge and this is gonna create some lift so I want to get your thoughts on you guys strategy with go-to market as well as your customers as they now have the ability to build workloads and apps with ai and data there seems to be a trend towards the vertical ization of whether its sales and go to market and/or specialism because you have horizontal scalability with cloud and you now have data that has distinct value in these verticals so it really seems to be a I won't say ratification but in a way that seems to be the norm whether you come into a market you have specialization but the date is there so apps can be more agile do you are you guys seeing that and is that something that you guys are considering from from an organization standpoint and how do customers think about targeting vertical industries and their customers yeah I I bring this to and where you started going there at the end of the question is exactly the way that we think about it as well which is we've moved from you know here are storage offers for everybody and here's you know basic infrastructure everybody and now we've said how can we make sure that we have solutions that are tailored with very specific problems that customers are trying to solve and we're getting to the point now where your performance and variety of technologies are available to be able to compose very specific solutions and if you think about the substrate that has to be there you know we mentioned you have to have some really great partners and you have to have you know roadmap that is focused on priority solution area so for example at Google cloud you know we're very focused on six priority vertical areas so retail financial services health care manufacturing and industrials health care life sciences public sector and you know as a result of being very focused in those areas we can make more target investments and also align our entire go-to-market system and our entire partner ecosystem ecosystem around those beers specific priority areas so for example we worked with SATA and HDA Healthcare Rob very recently to develop and maintain a national response portal Berko vat19 and that's to help better inform communities and hospitals we can use looker to help with like a Commonwealth Care Alliance on nonprofit and that helps monitor patient system symptoms and risk factors so you know we're using you know a very specific focus in healthcare and a partner ecosystem - you know ferry tailored solutions you know you can also look at I mentioned Shopify earlier that's another great example of how in retail they can use something like Google meat inherent reliability scalability security to connect their employees during these interesting times but then they can also use GCP at Google cloud platform to scale out and as they come up with new apps and experiences for their shoppers for their shops they can rapidly deploy to your point and those you know those solutions and you know how the database performs and how those tiers perform you that's a very tight-knit feedback loop with our engineering teams yeah one of the things I'm seeing obviously with the virtualization of the kovat is that you know when the world gets back to normal it'll be hybrid and it'll be a hybrid between reality not physical and 100% virtual hybrid and that's going to impact events to media to everything every vertical will be impacted and I want to point out the Splunk team bring that back in because I want you to comment on the relevance of the Splunk to you and in context to Splunk has a cloud they got a great slogan data for every everywhere everywhere dated to everywhere I think it is but the cube we have a cloud every company will have a cloud scale at some level will progress to having some sort of cloud because they have data how are you guys powering those clouds because I think the Splunk deal is interesting their partner their stock price was up out on the news of the deal a nice bump their first Blunk shout out to those guys but they're a data company now they're cross-platform but they're not Google but they have a cloud so you know saying so they need to play in all the clouds but they need infrastructure they need support so how do you guys talk to that customer and that says hey the next pandemic that comes the next crisis that's going to cause some either social disruption or workflow disruption or work supply chain disruption I need to be agile I need have full cloud scale and so I need to talk to Google what do you say to them what's the pitch and as does a Splunk deal Samir some of those capabilities or tie that together for us the spunk deal and how it relates to sure for example proof themselves for the future sorry for example with the cloud deal you take a look at what Google is already really good at data processing at scale log analytics you take a look at what Splunk is doing you know with their events and security incident monitoring and the rest it a really great mashup because they see by platforming on Google cloud not only they get highly performant infrastructure but they also get the opportunity to leverage data tools data analytics tools machine learning and AI that can help them provide enhance services so not just about acity going up and down your periods of band but also enhancing services and continuing to offer more value to their customers and we see that you know it's a really big trend and you know this gets it something you know John a little bit bigger which is the two views of the world and we talked about very tailored focused solutions Splunk is an example of making a very methodical approach to a partnership developing a solution specifically you know with partners and you know in this case Splunk on the security event management side but we're always going to provide our data processing platform our infrastructure for companies across many different industries and I think that addresses one part of the topic which is you know how do we make sure that in periods of demand rapidly changing this deals back to the foundational elements of like AI infrastructure as a service and elasticity and we're gonna provide a platform infrastructure that can help companies move through periods of you know it's hard to forecast and/or demand may rise and fall you know in very interesting ways but then there's going to be funds where you know we we because they're not a necessarily a focused use case where it may just be generalized platform versus a focused solution so for example like in the oil and gas industry we don't develop custom AI ml solutions the facility upstream extraction for example but what we do do is work with renewable energy companies to figure out how they might be able to leverage some of our AI machine learning algorithms from our own data centers to make their operations more efficient and to help those renewable energy companies learn from what we've learned building out the but I consider to be a world leading renewable energy strategy and so classic and able mint model where you're enabling your platform for your customers okay so I got to ask the question I asked this to the Microsoft guys as well because Amazon you know has their own sass stuff but but really more of an tend the better products usually on the ecosystem side you guys have some killer sass cheap tree-sweet where customer if we use the g sqweep really deeply we also use some BigTable as well I want to build a cloud we have a cloud cube cloud but you guys have meat so I want to build my product on Google cloud how do I know you're not going to compete with me do you guys have those conversations around the trade-off between you know the pure Google services which provide great value for the areas where the ecosystem needs to develop those new areas that are gonna be great markets potentially huge markets that are out there well this is the power of partnership I mentioned earlier that one of the really big moves that Thomas is made has been developing a sense of partners and it kind of blurs the line between traditional what you would call a customer what you would call a partner and so having a really strong sense of which industries were in which we prioritize Plus having a really strong sense of where we want to add value and where you know our customers and partners want to add that value that's that's the foundational that's the beginning of that conversation that you just mentioned it's important that we have an ability to engage not just in a you know here's the cloud infrastructure piece of the puzzle but one of the things Thomas has also done in the East rata jia is has been to make sure that you know the Google cloud relationship is also a way to access all amazing innovation happening across all of Google and also help bring a strategic conversation in that includes multiple properties from across Google so that an HSBC and Google and have a conversation about how to move forward together that is comprehensive rather than you know having to wonder and have that uncertainty sit behind the projects that we're trying to get out and have high velocity on because they offer so much to retail bank for example well I got a couple more questions and then I'll let you go I know you got some other things going I really appreciate you digging the time sharing this great insight and updates as a builder you've been on the other side of the table now you're at Google heading up the CTO I was working with Thomas understanding them go to market across the board and the product mix as you talk to customers and they're thinking the good customers are thinking hey you know I want to come out of this Cove in on an upward trajectory and I want to use this opportunity to reset and realign for the future what advice do you have for those enterprises there could be small medium sized enterprises to the full large big guys and obviously cloud native we talked some of that already but what advice would you have for them as they start to really prioritize as some things are now exposed the collaboration the tooling the scale all these things are out there what have you seen and what advice would you give a CX o or C so or leader in the industry to think about and how they should come out of this thing how they should plan execute and move forward well I appreciate the question because this is the crux of most of my day job which is interacting with the c-suite and boards of you know companies and partners around the world and they're obviously very interested to learn or you know get a data point from someone at Google and the the advice generally goes in a couple of different directions out one collaboration is part of the secret sauce that makes Google what it is and I think you're seeing this right now across every industry and it you know whether you're a small medium-sized business or you're a large company if the ability to connect people with each other to collaborate in very meaningful ways to share information rapidly to do it securely with high reliability that that's the foundation that enables all of the projects that you might choose to you know applications to build services to enable actually succeed in production and over the long haul is that culture of innovation and collaboration so absolutely number one is you're having a really strong sense of what they want to achieve from a cultural perspective a collaboration perspective and the and the people because that's the thing that fuels everything else second piece of the you know advice especially in these times where there's so much uncertainty is where can you buy down uncertainty with vets that aren't you know that art you can you can learn without a high penalty and this is a this is why cloud I think is really really you know finding you know super scale it was our it was already on the rise but what you're seeing now and you know as you've linked back to me during this conversation we're seeing the same thing which is a high increase in demand of let's get this implemented now how can we do this more this is you know clearly one way to move through uncertainty and so look for those opportunities I'll give you a really good example mainframes one of the classic workloads of the you know on-premise enterprise and you know there's all sorts of there are all sorts of potential magic solves for getting mainframes to the cloud and getting out of mainframes but a practical consideration might be maybe you just front-end it with some Java or maybe you just get closer to other data centers within a certain amount of milliseconds that's required to have performant workload maybe you start chunking at a part and treat the workload a little bit differently rather than you know just one thing but there are a lot of years and investments in a workload that might run on a mainframe and that's a perfect example of out you know biting off too much it might be a little bit dangerous but there is a path to and so for example like we brought in a company called cornerstone to help with those migrations but we also have you know partnerships with you know data center providers and others globally from us our own built infrastructure to allow even you know a smaller stuff per site or more like post proximity location in the workload it's great you know everything had as a technical metaphor connection these days when you have a Internet digitally connected world we're living in you know the notion of a digital business was a research buzzword that's been kicked around for years but I think now kovat 19 you're seeing the virtual or digital it's really digital but you know virtual reality augmented reality is going to come fast to really get people to go WOW virtual virtualization of my business so you know we've been kind of kicking around this term business virtualization just almost as a joke but it's really more about okay this is about a new world a new opportunity to think about when we come out of this we're gonna still go back to our physical world now the hybrid now kicks in this kind of connects all aspects of business in every verticals not leahey I'm targeting like the this industry so there might be unique solutions in those industries but now the world is virtualized it's connected it's a digital environment these are huge concepts that I think has kind of been a fringe lunatic fringe idea but now it's brought mainstream this is gonna be a huge tailwind for you guys as well as developers and entrepreneurs and app application software this is gonna be we think a big thing what's your reaction to that which your based on your experience what do you see happening do you agree with it and you have any thing you might want to add maybe you know one kind of philosophical statement and then one more you know I bruised my shins a lot in this world and maybe share some of the black and blue coloration first from a philosophical standpoint the greater the crisis the more open-minded people become and the more creative people get and so I'm really excited about the creativity that I'm seeing you know with all of the customers that I work with directly plus our partners you know Googlers everybody's rallying together to think about this world differently and so to your point you know a shift in mindset you know there are there are very few moments where you get this pronounced a change and everyone is going through it all at the same time so that creates a you know an opportunity a scenario where the old thinking new strategies creativity you know bringing people in in new ways collaborating a new way and offer a lot of benefits more you know practically speaking and from my experience you know building technology for a couple decades you this is a it has an interesting parallel to you know building like tightly coupled really large maybe monoliths versus micro services and debate around you know do we build small things that can be reconfigured and you know built out by others or built on by others more easily or do we credit Golden Path and a more understood you know development environment and I'm not here to answer the question of which one's better is that's what's still a raging debate and I can tell you that the process of going through and taking a service or an application or a thing that we want to deliver the customer that one of our customers wants to deliver to their cost and thinking about it so comprehensively that you're able to think about it in its what its power its core functions and then thinking methodically about how to enable those core functions that is a you know that's a real opportunity and I think technology to your point is getting to the place where you know if you want to run across multiple clouds yeah this is the anthos conversation where you know recently g8 you know a global scale platform you know multi cloud platform that's a pretty big moment in technology and that opens up the aperture to think differently about architectures and that process of taking you know an application service and making it real well I think you're right on the money I think philosophically it's a flashpoints opportunity I think that's going to prove to be accelerating gonna see people win faster and lose faster you can see that quickly happen but to your point about the monolith versus you know service or decoupled based systems I think we allow a live in a world where it's a systems of you now you can have a monolith combined with decoupled systems that's distributed computing I think this is that the trend it's a system it's not one thing or the other so I think the debate will continue just like you know VI versus Emacs we know you don't know right so you know if people gonna have this debate but it's just if you think about as a system the use case defines the architecture that's the beautiful thing about the cloud so great insight I really appreciate it and how's everything going over there Google Cloud you got meat that's available how's your staff what's it like inside the Googleplex and the Google cloud team tell us what's going on over there people still working working remote how's everyone doing well as you can as you can tell from my scenario here my my backdrop yes still hard at work and we take this as a huge responsibility you know these moments is a huge responsibility because there are you know educators loved ones medical professionals you know critical life services that run on services that Google provides and so I can tell you were humbled by the opportunity to provide you know the backbone and the platform and the people and the curiosity and the sincere desire to help and I mentioned a couple of ways already just in this conversation where we've been able to leverage some of our investment in technology to help or people that really gets at the root of who we are so while we just like any other humans are going through a process of understanding our new reality what really fires us up and what really a chart is because is that this is a moment where what we do really well is very very important for the world in every geo in every vertical in every use case and every solution type so we're just take we're taking that responsibility very seriously and at the same time we're trying to make sure that you know all of our teams as well as all the teams that we work with our customers and partners are making it a human moment not just the technology moment well congratulations and thanks for spending the time great insight will appreciate will Grannis Managing Director head of Technology office of the CTO at Google cloud this certainly brings to the mainstream what we've been in the industry been into for a long time which is DevOps large-scale role of data and technology now we think it's going to be even more acute around societal benefits and thank God we have all those services for the frontline workers so thank you so much for all that way effort and thanks for spending the time here in the cube conversation appreciate it thanks for having John okay I'm John Farah here in Palo Alto Studios for remote cube conversation with Google cloud get in the update really looking at the future as it unfolds we are going to see this moment in time as an opportunity to move to the next level cloud native and change not only the tech industry but society I'm John Fourier thanks for watching
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Ramin Sayar, Sumo Logic | AWS re:Invent 2019
>> Announcer: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2019. Brought to you by Amazon Web Services and Intel along with its ecosystem partners. >> Welcome back to the eighth year of AWS re:Invent. It's 2019. There's over 60,000 in attendance. Seventh year of theCUBE. Wall-to-wall coverage, covering all the angles of this broad and massively-growing ecosystem. I am Stu Miniman. My co-host is Justin Warren, and one of our Cube alumni are back on the program. Ramin Sayar, who is the president and CEO of Sumo Logic. >> Stu: Booth always at the front of the expo hall. I think anybody that's come to this show has one of the Sumo-- >> Squishies. >> Stu: Squish dolls there. I remember a number of years you actually had live sumos-- >> Again this year. >> At the event, so you know, bring us, the sixth year you've been at the show, give us a little bit of the vibe and your experience so far. >> Yeah, I mean, naturally when you've been here so many times, it's interesting to be back, not only as a practitioner who's attended this many years ago, but now as a partner of AWS, and seeing not only our own community growth in terms of Sumo Logic, but also the community in general that we're here to see. You know, it's a good mix of practitioners and business folks from DevOps to security and much, much more, and as we were talking right before the show, the vendors here are so different now then it was three years go, let alone six years ago. So, it's nice to see. >> All right, a lot of news from Amazon. Anything specific jump out from you from their side, or I know Sumo Logic has had some announcements this week. >> Yeah, I mean, like, true to Amazon, there's always a lot of announcements, and, you know, what we see is customers need time to understand and digest that. There's a lot of confusion, but, you know, selfishly speaking from the Sumo side, you know, we continue to be a strong AWS partner. We announced another set of services along with AWS at this event. We've got some new competencies for container, because that's a big aspect of what customers are doing today with microservices, and obviously we announced some new capabilities around our security intelligence capabilities, specifically for CloudTrail, because that's becoming a really important aspect of a lot of customers maturation of cloud and also operating in the cloud in this new world. >> Justin: So walk us through what customers are using CloudTrail to do, and how the Sumo Logic connection to CloudTrail actually helps them with what they're trying to do. >> Well, first and foremost, it's important to understand what Sumo does and then the context of CloudTrail and other services. You know, we started roughly a decade ago with AWS, and we built and intelligence platform on top of AWS that allows us to deal with the vast amount of unstructured data in specific use cases. So one very common use case, very applicable to the users here, is around the DevOps teams. And so, the DevOps teams are having a much more complicated and difficult time today understanding, ascertaining, where trouble, where problems reside, and how to go troubleshoot those. It's not just about a siloed monitoring tool. That's just not enough. It doesn't the analytics or intelligence. It's about understanding all the data, from CloudTrail, from EC2, and non-AWS services, so you can appropriately understand these new modern apps that are dependent on these microservices and architectures, and what's really causing the performance issue, the availability issue, and, God forbid, a security or breach issue, and that's a unique thing that Sumo provides unlike others here. >> Justin: Yeah, now I believe you've actually extended the Sumo support beyond CloudTrail and into some of the Kubernetes services that Amazon offers like AKS, and you also, I believe it's ESC FireLens support? >> Ramin: Yeah, so, and that's just a continuation of a lot of stuff we've done with respect to our analytics platform, and, you know, we introduced some things earlier this year at re:Inforce with AWS as well so, around VPC Flow Logs and the like, and this is a continuation now for CloudTrail. And really what it helps our customers and end users do is better better and more proactively be able to detect potential issues, respond to those security issues, and more importantly, automate the resolution process, and that's what's really key for our users, because they're inundated with false positives all the time whether it's on the ops side let alone the security side. So Sumo Logic is very unique back to our value prop, but providing a horizontal platform across all these different use cases. One being ops, two being cybersecurity and threat, and three being line-of-business users who are trying to understand what their own users on their digital apps are doing with their services and how to better deliver value. >> Justin: Now, automation is so important when you've got this scope and scale of cloud and the pace of innovation that's happening with all the technology that's around us here at the show, so the automation side of things I think is a little bit underappreciated this year. We're talking about transformation and we're talking about AI and ML. I think, with the automation piece, is one thing that's a little bit underestimated from this year's show. What do you think about that? >> Yeah, I mean, our philosophy all along has been, you can't automate without AI and ML, and it's proven fact that, you know, by next year the machine data growth is going to be 16 zettabytes. By 2025, it's going to be 75 zettabytes of data. Okay, while that's really impressive in terms of volume of data, the challenge is, the tsunami of data that's being generated, how to go decipher what's an important aspect and what's not an important aspect, so you first have to understand from the streaming data services, how to be able to dynamically and schema on read, be able to analyze that data, and then be able to put in context to those use cases I talked about, and then to drive automation remediation, so it's a multifaceted problem that we've been solving for nearly a decade. In a given day, we're analyzing several hundred petabytes of data, right? And we're trying to distill it down to the most important aspects for you, for your particular role and your responsibility. >> Stu: Yeah, um, we've talked a lot about transformation at this show, and one of the big challenges for customers is, they're going through that application modernization journey. I wonder if you could bring us inside some of your customers, you know, where are they having success, where are some of the bottlenecks slowing them down from moving along on this transformation journey? >> Yeah, so, it's interesting because, whether you're a cloud-native company like Sumo Logic or you're aspiring to be a cloud-native company or a cloud-first project going through migration, you have similar problems. It's now become a machine-scale problem, not a human-scale problem, back to the data growth, right? And so, some of our customers, regardless of their maturation, are really trying to understand, you know, as they embark on these digital transformations, how do they solve, what we call, the intelligence gap? And that is, because there's so much silos across the enterprise organizations today, across development, operations, IT, security, lines of business, in its context, in its completeness, it's creating more complexity for our customers. So, what Sumo tries to help solve, do, is, solve that intelligence gap in this new intelligence economy by providing an intelligence platform we call "continuous intelligence". So what do customers do? So, some of our customers use Sumo to monitor and troubleshoot their cloud workloads. So whether it's, you know, the Netflix team themselves, right, because they're born and bred in the cloud or it's Hudl, who's trying to provide, you know, analytics and intelligence for players and coaches, right, to insurance companies that are going through the migration journey to the cloud, Hartford Insurance, New York Life, to sports and media companies, Major League Baseball, with the whole cyber SOC, and what they're trying to do there on the backs of Sumo, to even trucking companies like Packard, who's trying to do driverless, autonomous cars. It doesn't matter what industry you're in, everyone is trying to do through the digital transformation or be disrupted. Everyone's trying to gain that intelligence or not just be left behind but be lapped, and so what Sumo really helps them do is provide one single intelligence platform across dev, sec, and ops, bringing these teams together to be able to collaborate much more efficiently and effectively through the true multi-tenant SaaS platform that we've optimized for 10 years on AWS. >> Justin: So we heard from Andy yesterday that one of the important ways to drive that transformational change is to actually have the top-down support for that. So you mentioned that you're able to provide that one layer across multiple different teams who traditionally haven't worked that well together, so what are you seeing with customers around, when they put in Sumo Logic, where does that transformational change come from? Are we seeing the top-down driven change? Is that were customers come from, or is it a little bit more bottom-up, were you have developers and operations and security all trying to work together, and then that bubbles up to the rest of the organization? >> Ramin: Well, it's interesting, it's both for us because a lot of times, it depends on the size of the organization, where the responsibilities reside, so naturally, in a larger enterprise where there's a lot of forces of mass because of the different siloed organizations, you have to, often times, start with the CISO, and we make sure the CISO is a transformation agent, and if they are the transformation agent, then we partner with them to really help get a handle and control on their cybersecurity and threat, and then he or she typically sponsors us into other parts of the line of business, the DevOps teams, like, for example, we've seen with Hartford Insurance, right, or that we saw with F5 Networks and many more. But then, there's a flip side of that where we actually start in, let's use another example, uh, you know, with, for example, Hearst Media, right. They actually started because they were doing a lift-and-shift to the cloud and their DevOps team, in one line of business, started with Sumo, and expanded the usage and growth. They migrated 32 applications over to AWS, and then suddenly the security teams got wind of it and then we went top-down. Great example of starting, you know, bottom-up in the case of Hearst or top-down in the case of other examples. So, the trick here is, as we look at embarking upon these journeys with our customers, we try to figure out which technology partners are they using. It's not only in the cloud provider, but it's also which traditional on-premise tools versus potentially cloud-native services and SaaS applications they're adopting. Second is, which sort of organizational models are they adopting? So, a lot of people talk about DevOps. They don't practice DevOps, and then you can understand that very quickly by asking them, "What tools are you using?" "Are you using GitHub, Jenkins, Artifactory?" "Are you using all these other tools, "and how are you actually getting visibility "into your pipeline, and is that actually speeding "the delivery of services and digital applications, "yes or no?" It's a very binary answer, and if they can't answer that, you know they're aspiring to be. So therefore, it's a consultative sale for us in that mode. If they're already embarking upon that, however, then we use a different approach, where we're trying to understand how they're challenged, what they're challenged with, and show other customers, and then it's really more of a partnership. Does that makes sense? >> Justin: Yeah, makes perfect sense to me. >> So, one of the debates we had coming into this show is, a lot of discussion at multicloud around the industry. Of course, Amazon doesn't talk specifically about multicloud all that well. If you look historically, attempts to manage lots of different environments under a single pane of glass, we always say, "pane is spelled P-I-A-N", when you try to do that. There's been great success. If you look at VMware in the data center, VMware didn't cover the entire environment, but vCenter was the center of your, you know, admin's world, and you would edge cases to manage some of the other environments here. Feels that AWS is extending their footprint with thing like Outposts and the environments, but there are lots of things that won't be on Amazon, whether it be a second cloud provider, my legacy data center pieces, or anything else there. Sounds like you touch many of the pieces, so I'm curious if you, just, weigh in on what you hear from customers, how they get their arms around the heterogeneous mess that IT traditionally is, and what we need to do as an industry to make things better. >> You know, for a long time, many companies have been bi-modal, and now they're tri-modal, right, meaning that, you know, they have their traditional and their new aspects of IT. Now they're tri-modal in the sense of, now they have a third leg of that complexity in stool, which is public cloud, and so, it's a reality regardless of Amazon or GCP or Azure, that customers want flexibility and choice, and if fact, we see that with our own data. Every year, as you guys well know, we put out an intelligence report that actually shows year-over-year, the adoption of not only various technologies, but adoption of technologies used across one cloud provider versus multicloud providers, and earlier this year in September when we put the new release of the report out, we saw that year-over-year, there was more than 2x growth in the user of Kubernetes in production, and it was almost three times growth year-over-year in use of Kubernetes across multiple cloud providers. That tells you something. That tells you that they don't want lock-in. That tells you that they also want choice. That tells you that they're trying to abstract away from the IaaS layer, infrastructure-as-a-service layer, so they have portability, so to speak, across different types of providers for the different types of workload needs as well as the data sovereignty needs they have to constantly manage because of regulatory requirements, compliance requirements and the like. And so, this is actually it benefits someone like Sumo to provide that agnostic platform to customers so they can have the choice, but also most importantly, the value, and this is something that we announced also at this event where we introduced editions to our Cloud Flex licensing model that allows you to not only address multi-tiers of data, but also allows you to have choice of where you run those workloads and have choice for different types of data for different types of use cases at different cost models. So again, delivering on that need for customers to have flexibility and choice, as well as, you know, the promise of options to move workloads from provider to provider without having to worry about the headache of compliance and audit and security requirements, 'cause that's what Sumo uniquely does versus point tools. >> Well, Ramin, I think that's a perfect point to end on. Thank you so much for joining us again. >> Thanks for having me. >> Stu: And looking forward to catching up with Sumo in the future. >> Great to be here. >> All right, we're at the midway point of three days, wall-to-wall coverage here in Las Vegas. AWS re:Invent 2019. He's Justin Warren, I'm Stu Miniman, and you're watching theCUBE. (upbeat music)
SUMMARY :
Brought to you by Amazon Web Services and one of our Cube alumni are back on the program. of the Sumo-- I remember a number of years you actually had live sumos-- At the event, so you know, bring us, the sixth year and business folks from DevOps to security Anything specific jump out from you from their side, and also operating in the cloud in this new world. and how the Sumo Logic connection to CloudTrail and how to go troubleshoot those. and more importantly, automate the resolution process, so the automation side of things I think from the streaming data services, how to be able I wonder if you could bring us inside some or it's Hudl, who's trying to provide, you know, so what are you seeing with customers around, and then you can understand that very quickly and you would edge cases to manage to have flexibility and choice, as well as, you know, Well, Ramin, I think that's a perfect point to end on. Stu: And looking forward to catching up with Sumo and you're watching theCUBE.
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Graeme Hackland, ROKiT Williams Racing F1 Team | Acronis Global Cyber Summit 2019
>> Announcer: From Miami Beach, Florida it's theCUBE, covering Acronis Global Cyber Summit 2019. Brought to you by Acronis. >> Welcome back everyone to theCUBE coverage here at the Acronis Global Cyber Summit 2019 in Miami Beach at the Fontainebleau Hotel. Not a bad venue for an event. It's their first inaugural event around cyber protection. Our next guest is a great guest. He's going to go into great detail. Very fun job. Stressful job. Graeme Hackland, CIO of ROKiT Williams Racing Formula One team. Thanks for joining me. >> Thanks Joe. >> Great job you have. I mean, it's high pressure, high stakes, data's involved. You can nerd out on all the tech and it's a part of the business these days. Take a minute to explain the Williams Racing Team history and what are you guys up to these days. >> So Williams, this is Sir Frank Williams' 41st year with this team. 50 years in total he's been in Formula One. Won 16 world championships. Not recently, we want to do that again for him and that's the mission, right? Get up every day wanting to get back to the front of the grid and help Williams to win. I joined them in 2014. I've been 23 years in total in Formula One. I love the industry, the fast pace, everything you describe. There's a bit of stress obviously but I just love the industry and I joined Williams in 2014 to help with the digital transformation and it's been brilliant and now we're not using the transformation word anymore. We're on a digital journey. We've already put a lot of that infrastructure in place, moved to the cloud, and it's just been, it's been brilliant and we've had some success on the track. More recently it's been tough but we'll get back there. >> You know, I just had a conversation with Dan Havens who's the Chief Growth Officer, he's done all of the sports deals. We were talking about, you know, baseball and the other football, European football, and also Formula One. The competitive advantage edge is there in the data. AI is here, machine learning feeds AI, so now do you set up the infrastructure, you get operationalized properly. This is a big job. It's not just loading software. You got to really think about the wholistic system at work. >> That's the great thing, right? We've go to do the infrastructure right. So you've got to get the basics right. But then if we can do a better job with AI, with machine learning, with the analytic tools that are out there than the other teams are doing. We can beat them. We don't have the same funding levels that they do but we got really smart people, and people is our biggest asset. And then the second biggest is data and making sure that the right engineer has the right data at the right time so that they can do their job, so that we can set the fastest pit stop time or that we can challenge the cars in front of us. It is really important, so we put a lot of time and effort into data analytics, but especially video. Video has become huge for us and obviously then, the data size grows massively. But data and being able to analyze your competitors, analyze your own car, your two drivers against each other. There's a huge amount of data that we are dealing with. >> Without giving any secrets away Graeme, talk about some of the data dynamics that you have going on. What is some of the workflows? What are some of the things you're optimize... You said video. Where are you guys looking at? What are some of the key, cool things that you're seeing as an edge opportunity for you? >> So, Formula One team has this life cycle of a Formula One car where you start in aerodynamics, either in a wind tunnel with a physical model or you do virtual wind tunnel with computational fluid dynamics. There's CFD, so that computation power is really important. Then you go into design, CAD design, that really turns it into something that you can make so then we're into manufacturing. Then we got a race engineer, and all the tools that they use to get the optimum out of the car that they're given on a race weekend. And then you feed that back in so that every race were adding performance to the car, and all through the season. We'll add one and a half to two seconds per lap of performance onto that car every season. And so that's a really important loop that you need to be constantly doing. And if you don't, you know, we've had some issues in this year, if you don't get that completely right, you will lose time to your competitors. >> Give me an example where it didn't work out, where you've gone back to the drawing board. >> So, I think there's been, and it's been well publicized, Clay Williams has talked about it. There's been a bit of a gap between the results we were getting in the wind tunnel and the reality that was happening on the track. And so we've had to bring that back and make sure that there was a correlation between the tunnel and the track. And our engineering group will be working really hard on that, so that kind of thing can happen. >> Talk about the engineering backgrounds that are going on behind the scenes. A lot of people look at Formula One's, only the hardcore nerd that are nerding out and geeking out on the sport know that the depth but, what's going on in the engineering front because there's a lot of investment you guys are making on engineering. >> Yeah, and so, Formula One fans love the data. I think they really love to see the data and work with it and, fortunately, the people who run Formula One are opening more of that data to the fans. If you left it to the teams, we wouldn't share it with the fans because then our competitors see it and we see it as a competitor's advantage. But if something's shared for everyone then that's fair. So, I think the fans love to see the data and see what we're doing. What we're trying to look at now is automation. Humans making decisions has been okay up until probably the last couple of years where some errors have been made in strategy, in real-time where you've got a few seconds to make a decision. Are you going to pit? Virtual safety car has just been called. You've got three seconds to make a decision. Sometimes the humans are making the wrong decision. So we see automation, AI, as really having a role in that real-time decision making. But we think AI can help us in our factory. The things that we're making, something happens at the track, and now we have to change that design. We think introducing automation and AI into that process will really help us as well. >> Yeah, sports market, sports teams, and sports franchises, to me, optimize digital transformation or digital journey because the fans want it. >> Graeme: Yeah. >> There's competitive advantage in running the team. There's the player's decision making whether it's baseball or a driver. >> Graeme: Yup. >> And then there's the fans. So, I got to ask ya on, what are you guys thinking about the fan experience because now you got some data opening up, you got visualization, potentially apps that show you that cars in 3D space and some virtual reality potential. >> Yup. >> The old experience was, ooh, there's a car, goes by again, hey we're (giggles) comes by again. So, bringing, extending the digital fan-based experience, what do you guys, what's your view there? >> Oh, there's a huge amount of work happening in Formula One and it's great to see the people who are running Formula One talking about a digital transformation, not just the teams, right. And it was all about the fan experience. We want the fan to feel like they're a part of it. So Williams did a couple of experiments with virtual reality, so that you could either be one of the pit crews, so you could be the person holding the gun, feel the car coming in, and changing the tire. >> That's awesome. >> Or you could have the driver's view. So the cameras that are on the car are above the driver's head so you don't get an accurate view. So we brought that down into the helmet and now you're getting the view of what it's like to be the driver. >> Wow. >> So, there's been a lot of focus on that fan experience and making sure that you're not at a disadvantage sitting in this, you know, at the track, compared to someone who's at home with two televisions or multiple devices that they're tracking the data on. And the GPS data of where the cars are and hearing some of the commentary of why they're making the decisions they are and when the driver's challenge their engineers, I love that bit. So the engineers got all that data, tells the driver we're going to do this strategy and the driver challenges it because they're in the car feeling how the car feels. >> I think you guys have a great opportunity as an industry because, you look at Esports and the gaming culture, the confluence of that experience based product coming to Formula One. >> Graeme: Yup. >> It's just the perfect fit. >> Well, it's gone, the Esports Formula One has gone huge. We run a team as well. Most of the Formula One teams now have an Esports team. And actually, the people who are driving in the Esports teams, their skills are transferrable. I remember one of the competitions a couple of years ago was to win a drive in the simulator. You became a development driver for one of the Formula One teams. And that shows that those skills are transferrable, so it's great. >> Yeah, that's beautiful stuff. All right, I want to get back to the Acronis cyber.. >> Yup. >> Global Cyber Summit 2019. You're here talking to folks, also sharing knowledge, you guys were hit with ransomware. >> Graeme: Yup. >> Not once, but twice. >> Graeme: Yup. >> I think you had just joined, I think at that time before.. >> It was during 2014 when I first joined and we would, I know, we had put as much investment as we could into our cyber security and to our protection. But we had gaps and I think, so the first ransomware that we got hit by was inside our network and it encrypted 50,000 files before we discovered it. Now we were lucky. We were able to recover all the data from back-up, but we knew that, because it had happened in the middle of the day, someone had looked at some websites during their lunch break and within a couple of hours we had discovered it, contained it, corrected it, restored the data. But the second time we got hit, it was an individual on their computer off network, and we lost data. And that's the thing I hate the most. That data is so precious to us. Losing it was really upsetting. And so we went out into the market, how can we make sure that our data is being backed up? But more than that, how can we make sure that backed up data is protected? And there's a number of reasons we want to protect it. We want to protect it from things like ransomware, but also, the thing that people often don't thing about with their data is, how do we make sure that it's not tampered with at any point? So, when we're at the track, and the car's running around the track, we're pushing data locally, inside the network. We're pushing it to the cloud to do computation and we're sending it back to the UK so that engineers at base can work with it. >> Yeah. >> What it someone was in those stream of data tampering with it? >> Yeah. >> And we then had fake data? And as we go to more machine learning and automation, if those decisions are being made on bad data, that's going to be a real problem. So, we wanted to make sure that our data couldn't be tampered with, so we can adopt new technology. So that was really important. But, Williams also have an advanced engineering company, so beyond Formula One, we apply that knowledge and know how, to all sorts of other industries. From healthcare to retail to automotive. We've been helping Unilever with some really interesting projects to make ice cream better and more efficiently and to help with soap powder. We got to make sure that that customer data is never tampered with. If we're going to put technology into road cars, that's a very different challenge to Formula One. >> John: Yeah. >> We got to make sure that, that whole, the IP chain, how we develop that technology can be proven and isn't tampered with. >> It's interesting, supply chain concepts data protection merging together. Data protection used to be thought after.. Oh, we've got a design. Well let's brush up, we'll get back it, bolt it on. Not anymore. >> Now having to build it into the solutions up front. As we're preparing technology for customers, we're having to make sure that we're thinking about the data challenge. So if it's in a car, so we did battery technology, we won the supply for the first ever gas to electric model, right. As that car is driving around, there's going to be data that's important around the health of the battery. >> John: Yeah. >> And information that is going to be needed by the driver, but also for later for when they're doing the servicing on the car. We got to make sure that that data is protected properly. >> You guys are pushing the envelope on instrumentation, sensors, data, real-time telemetry? >> To be honest, Formula One has always been like that. We put our first data logger in 1979 on a Formula One car. Honestly, it's been an IOT device since then. (laughs) It's not a new thing for F Ones. I think we are really experienced. Our electronics group are real experienced in how to protect that data as it comes off the car and we've applied that knowledge to road cars as well. >> Well you, what's great about you guys and the whole industry is that, that innovation for the sport is now translating as a benefit for society. >> Exactly. >> And I think that is really kind of a, I think, an example of where innovation can come from. Places you least expect it. The people doing hard work pays off. >> It always worried me that Formula One, we spend all the money we spend, right, hundred million pounds, three hundred million pounds per year. And at the end of the year, the product that we created gets retired and we create a whole new product. It always worried me that that technology wasn't reused. Williams are reusing it. You know, we take the carbon fiber that we use to protect a driver in a Formula One car. We've now applied that to babies in hospitals when they get moved around. We built a carbon fiber unit that moves them around. Aerodynamics design, we've applied to fridges to make them more efficient. If you've got an open fridge, the cold air doesn't come out into the aisle of the supermarket. We push it back into the fridges. I love that. Reuse, taking loose end leaf batteries and putting them into a unit that you bought on the side of a house and it helps to power the house over night. >> You know, it's interesting Graeme, you mentioned digital transformation versus digital journey, you guys are operationalize it as it's used. >> Graeme: Exactly. >> Difference, there's nuance but transformation. You have yet transformed. >> Graeme: Yup. >> You guys up transformed so you're on a journey. I got to ask you, what is some learnings in your operationalize digital? I mean, obviously you got your sport, but now it's translating out to other areas. What's the big learnings that you take away from, as a professional and as an individual in the industry, from all this? >> I think, initially, we were quite conservative and we only went with big players that we were convinced were going to be around in three to five years. I think, there's a lot more established cloud providers now but early on we only went with the big guys because we wanted to make sure we could get our data out. If they disappeared, we weren't going to lose our data. I think what the partnership with Acronis and other partnerships we've done has helped us to be more aggressive in terms of our approach towards CAD vendors. We can now take risks with a smaller player. We've got a really niche product but it's something that could give us a competitive advantage for half a season, three, four races sometimes. We'd go for it. Whereas, I think we were a bit conservative at first. I think all CIOs have to think about what's their appetite for risk. We did a really good process of mapping that out, discussing it all the way to board level. What exactly are we prepared to risk? There's some things, you know, car data, we're just not prepared to risk that. >> Yeah. >> But there are some things that we can afford to take risks with. And I've talked to CIOs at finance institutes, they're starting to take risks now. There's core data that they won't be able to, either by regulation or just doesn't make sense. But there's a lot you can commoditize and put out into the cloud. >> And if you have a cyber protection foundation, you can take those risks. >> Graeme: Exactly. >> You don't want to be looking over your shoulder worrying. >> Because you own the data. And sometimes when you go with a cloud provider, it feels almost like they own the data. But when you've got a partnership like the one we have with Acronis, we know that we own the data. We're backing that data away from the cloud vendor so we can always get it back. >> Graeme, thanks so much for the insight. Love this conversation. I think it's really innovative, cutting edge, and great fun to talk about. Thanks for coming on theCUBE, appreciate it. >> Thank you very much, cheers. >> CUBE coverage here at Miami Beach at the Fontainebleau Hotel for Acronis Global Cyber Security 2019 Summit, I'm John Ferrier, stay with us for more CUBE day two coverage after this short break. (fun music)
SUMMARY :
Brought to you by Acronis. in Miami Beach at the Fontainebleau Hotel. and it's a part of the business these days. and that's the mission, right? he's done all of the sports deals. and making sure that the right engineer What are some of the things you're optimize... and all the tools that they use to get the optimum where you've gone back to the drawing board. and the reality that was happening on the track. and geeking out on the sport know Yeah, and so, Formula One fans love the data. and sports franchises, to me, There's competitive advantage in running the team. that show you that cars in 3D space So, bringing, extending the digital fan-based experience, one of the pit crews, so you could be the person So the cameras that are on the car and hearing some of the commentary and the gaming culture, I remember one of the competitions a couple of years ago Yeah, that's beautiful stuff. also sharing knowledge, you guys were hit with ransomware. I think you had just joined, But the second time we got hit, and to help with soap powder. We got to make sure that, Oh, we've got a design. around the health of the battery. And information that is going to be needed by the driver, I think we are really experienced. and the whole industry is that, And I think that is really kind of a, the product that we created gets retired you guys are operationalize it as it's used. You have yet transformed. What's the big learnings that you take away from, and we only went with big players and put out into the cloud. And if you have a cyber protection foundation, like the one we have with Acronis, and great fun to talk about. at the Fontainebleau Hotel
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Brian Shield, Boston Red Sox | Acronis Global Cyber Summit 2019
>> Announcer: From Miami Beach, Florida, it's The Cube, covering Acronis Global Cyber Summit 2019. Brought to you by Acronis. >> Welcome back everyone. We are here with The Cube coverage for two days. We're wrapping up, getting down on day one in the books for the Acronis Global Cyber Summit 2019. I'm John Furrier, your host of The Cube. We are in Miami Beach, the Fontainebleau Hotel. I'm personally excited for this next guest because I'm a huge Red Sox fan, even though I got moved out to California. Giants is in a different area. National League is different than American League, still my heart with the Red Sox. And we're here with an industry veteran, seasoned professional in IT and data, Brian Shield. Boston Red Sox Vice President of Technology and IT. Welcome to The Cube, thanks for joining us. >> Thank you. It's great to be here. >> John: So congratulations on the rings. Since I moved out of town, Red sox win their World Series, break the curse of the Bambino. >> Hey we appreciate that. Thank you. >> My family doesn't want me back. You got to show >> Yeah, maybe I'll put this one up for the, maybe someone can zoom in on this. Which camera is the good one? This one here? So, there ya go. So, World Series champs for at least for another week. (laughter) >> Bummer about this year. Pitching just couldn't get it done. But, good team. >> Happens. >> Again, things move on, but you know. New regime, new GM going to come on board. >> Yup. >> So, but in general, Red Sox, storied franchise. Love it there. Fenway Park, the cathedral of baseball parks. >> Brian: Defnitely. >> And you're seeing that just play out now, standard. So just a great place to go. We have tickets there. So, I got to ask you. Technology, sports, really is modernized faster than I think any category. And certainly cyber security forced to modernize because of the threats. But sports, you got a business to run, not just IT and making the planes run on time. >> Sure. >> Scouts, money, whatever. >> Fans. >> You got fan experience. >> Stadium opportunities. >> Club management, scouts are out there. So you got business, team, fans. And data's a big part of it. That's part of your career. Tell us what the cutting edge innovation is at the Red Sox these days. >> I think baseball in general, as you indicated, it's a very evolving kind of environment. I mean historically I think people really sort of relish the nostalgia of sports and Fenway Park being as historic as it is, was probably the pinnacle of that, in some respects. But Red Sox have always been leaders and baseball analytics, you know. And everyone's pretty familiar with "Moneyball" and Brad Pitt. >> John: Is that a true story, he turned down the GM job? >> I'm told it is. (laughter) I don't know if I fully vetted that question. But over the last six, seven years, you know we've really turned our attention to sort of leveraging sort of technology across the businesses, right? Not just baseball and analytics and how we do scouting, which continues to evolve at a very rapid pace. But also as you pointed out, running a better business, understanding our fans, understanding fan behavior, understanding stadiums. There's a lot of challenges around running an effective stadium. First and foremost to all of us is really ensuring it's a great fan experience. Whether it's artificial intelligence, or IoT technologies or 5G or the latest Wifi, all those things are coming up at Fenway Park. You and I talked earlier about we're about to break ground for a new theater, so a live theater on the outside, beyond the bleachers type of thing. So that'll be a 5,400-seat arena, 200 live performances a year, and with e-sports, you know, complementing it. It just gives you an example of just how fast baseball is sort of transitioning. >> And the theater, is that going to be blown out from where that parking garage is, structure and going towards >> So the corner of Landsdown and Ipswich, if you think of that sort of corner back there, for those that are familiar with the Fenway area. So it's going to be a very big change and you'll see the difference too from within the ballpark. I think we'll lose a couple of rows of the bleachers. That'll be replaced with another gathering area for fans and things like that, on the back end of that theater. So build a great experience and I think it really speaks to sort of our ability to think of Fenway as more of a destination, as a venue, as a complementary experience. We want people to come to the area to enjoy sports and to enjoy entertainment and things. >> You know Brian, the consumerization of IT has been kicked around. Last decade, that was a big buzzword. Now the blending of a physical event and digital has certainly consumed the world. >> Absolutely. >> And we're starting to see that dynamic. You speak to a theater. That's a physical space. But digital is also a big part of kind of that complementary. It's not mutually exclusive for each other. They're integrated business models. >> Absolutely. >> So therefore, the technology has to be seamless. The data has to be available. >> Yup. >> And it's got to be secure. >> Well the data's got to be ubiquitous, right? I mean you don't want to, if we're going to have fans attending theater and then you're going to go to Fenway Park or they leave a game and then go to some other event or they attend a tour of Fenway Park, and beyond maybe the traditional what people might think about, is certainly when you think about baseball and Fenway Park. You know we have ten to twelve concerts a year. We'll host Spartan games, you know. This Christmas, I'm sorry, Christmas 2020 we now have sort of the Fenway Bowl. So we'll be hosting the AAC ACC championship games there with ESPN. >> John: Hockey games? >> Hockey games. Obviously we have Liverpool soccer being held there so it's much more of a destination, a venue for us. How we leverage all the wonderful things about Fenway Park and how we modernize, how we get basically the best of what makes Fenway Park as great as it is, yet as modern as we can make it, where appropriate to create a great fan experience. >> It's a tough balance between balancing the brand and having things on brand as well. >> Sure. >> Does that come into your job a lot around IT? Saying being on brand, not kind of tearing down the old. >> Yeah absolutely. I think our CEOs and leadership team, I mean it's not success for us if you pan to the audience and everyone is looking at their phone, right? That's not what we aspire to. We aspire to leverage technology to simplify people's experience of how do you get to the ballpark, how do I park, how do I get if I want to buy concessions or merchandise, how do I do it easily and simply? How do we supplement that experience with maybe additional data that you may not have had before. Things like that, so we're doing a lot of different testing right now whether it's 4D technologies or how we can understand, watch a play from different dimensions or AI and be able to perhaps see sort of the skyline of Boston since 1912, when Fenway Park launched... And so we sort of see all these technologies as supplemental materials, really kind of making it a holistic experience for fans. >> In Las Vegas, they have a section of Las Vegas where they have all their test beds. 5G, they call it 5G, it's really, you know, evolution, fake 5G but it's a sandbox. One of the challenges that you guys have in Boston, I know from a constraint standpoint physically, you don't have a lot of space. How do you sandbox new technologies and what are some of the things that are cool that people might not know about that are being sandboxed? So, one, how do you do it? >> Yeah. >> Effectively. And then what are some of the cool things that you guys are looking at or things they might not know about that would be interesting. >> Sure. Yeah so Fenway Park, we struggle as you know, a little bit with our footprint. You know, honestly, I walk into some of these large stadiums and I get instant jealousy, relative to just the amount of space that people have to work with and things. But we have a great relationship with our partners so we really partner, I think, particularly well with key partners like Verizon and others. So we now have 5G partially implemented at Fenway Park. We expect to have it sort of fully live come opening day next year. So we're really excited about that. We hope to have a new version of Wifi, the latest version of Wifi available, for the second half of the year. After the All-Star Break, probably after the season's over. But before our bowl game hopefully. We're looking at some really interesting ways that we can tease that out. That bowl game, we're really trying to use that as an opportunity, the Fenway Bowl, as an opportunity to make it kind of a high-tech bowl. So we're looking at ways of maybe doing everything from hack-a-thons to a pre-egaming sort of event to some interesting fan experiential opportunities and things like that. >> Got a lot of nerds at MIT, Northeastern, BU, Bentley, Babson, all the schools in the area. >> Yeah, so we'll be reaching out to colleges and we'll be reaching out to our, the ACC and AACs as well, and see what we can do to kind of create sort of a really fun experience and capitalize on the evolving role of e-sports and the role that technology can play in the future. >> I want to get to the e-sports in a second but I want to just get the plug in for Acronis. We're here at their Global Cyber Summit. You flew down for it, giving some keynote speeches and talks around security. It's a security company, data protection, to cyber protection. It is a data problem, not a storage appliance problem. It's a data problem holistically. You get that. >> Sure. Sure. >> You've been in the business for a long time. What is the security kind of posture that you guys have? Obviously you want to protect the data, protect privacy. But you got to business. You have people that work with you, supply chain, complex but yet dynamic, always on environment. >> That's a great question. It's evolving as you indicated. Major League Baseball, first and foremost, does an outstanding job. So the last, probably last four plus years, Major League Baseball has had a cyber security program that all the clubs partake in. So all 30 clubs are active participants in the program. They basically help build out a suite of tools as well as the ability to kind of monitor, help participate in the monitoring, sort of a lot of our cyber security assets and logs And that's really elevated significantly our posture in terms of security. We supplement that quite a bit and a good example of that is like Acronis. Acronis, for us, represents the ability for us to be able to respond to certain potential threats like ransom-ware and other things. As well as frankly, what's wonderful about a tool like this is that it allows us to also solve other problems. Making our scouts more efficient. We've got these 125 scouts scattered around the globe. These guys are the lifeblood of our, you know, the success of our business. When they have a problem, if they're in Venezuela or the Dominican or someplace else, in southeast Asia, getting them up and running as quickly as we can, being able to consume their video assets and other things as they're scouting prospects. We use Acronis for those solutions. It's great to kind of have a partner who can both double down as a cyber partner as well as someone who helps drive a more efficient business. >> People bring their phone into the stadiums too so those are end points now connecting to your network. >> Definitely. And as you pointed out before, we've got great partnerships. We've got a great concession relationship with Aramark and they operate, in the future they'll be operating off our infrastructure. So we're in the point of rolling out all new point-of-sale terminals this off-season. We're excited about that 'cause we think for the first time it really allows us to build a very comprehensive, very secure environment for both ourselves and for all the touchpoints to fans. >> You have a very stellar career. I noticed you were at Scudder Investments back in the '80s, very cutting-edge firm. FTD that set the whole standard for connecting retailers. Again, huge scale play. Can see the data kind of coming out, they way you've been a CIO, CTO. The EVP CIO at The Weather Channel and the weather.com again, first mover, kind of pioneer. And then now the Red Sox, pioneering. So I got to ask you the modernization question. Red Sox certainly have been cutting-edge, certainly under the last few owners, and the previous Henry is a good one, doing more and more, Has the business model of baseball evolved, 'cause you guys a franchise. >> Sure. >> You operate under the franchisor, Major League Baseball, and you have jurisdictions. So has digital blurred the lines between what Advanced Media unit can do. You got communities developing outside. I watch the games in California. I'm not in there but I'm present digitally. >> Sure. Sure. >> So how has the business model flexed with the innovation of baseball? >> That's a great question. So I mean, first off, the relationship between clubs like ours and MLB continue to evolve. We have a new commissioner, relatively new commissioner, and I think the whole one-baseball model that he's been promoting I think has been great. The boundaries sometimes between digital assets and how we innovate and things like that continues to evolve. Major League Baseball and technology groups and product groups that support Major League Baseball have been a fantastic partner of ours. If you look at some of the innovations with Statcast and some of the other types of things that fans are now becoming more familiar with. And when they see how fast a runner goes or how far a home run goes and all those sort of things, these kinds of capabilities are on the surface, but even like mobile applications, to make it easy for fans to come into ballparks and things like that really. What we see is really are platforms for the future touchpoints to all of our customers. But you're right, it gets complicated. Streaming videos and people hadn't thought of before. >> Latin America, huge audience for the Red Sox. Got great players down there. That's outside the jurisdiction, I think, of the franchise agreement, isn't it? (laughs) >> Well, it's complicated. As this past summer, we played two games in England, right? So we enjoy two games in London, sadly we lost to the Yankees in both of those, but amazing experience and Major League Baseball really hats off to those guys, what they did to kind of pull that together. >> You mentioned Statcast. Every year when I meet with Andy Jassy at AWS, he's a sports fan. We love to talk sports. That's a huge, kind of shows the power of data and cloud computing. >> No doubt. >> How do you guys interface with Statcast? Is that an Amazon thing? Do they come to you? Are they leveraging dimensions, camera angles? How does that all work? Are you guys involved in that or? >> Brian: Oh yeah, yeah. >> Is that separate? >> So Statcast is just one of many data feeds as you can imagine. One of the things that Major League Baseball does is all that type of data is readily available to every club. So every club has access to the data. The real competitive differentiator, if you will, is how you use it internally. Like how your analysts can consume that data. We have a baseball system we call Beacon. We retired Carmine, if you're familiar with the old days of Carmine. So we retired Carmine a few years ago with Beacon. And Beacon for us represents sort of our opportunity to effectively collapse all this information into a decision-making environment that allows us to hopefully to kind of make the best decisions to win the most games. >> I love that you're answering all these questions. I really appreciate it. The one I really want to get into is obviously the fan experience. We talked about that. No talent on the field means no World Series so you got to always be constantly replenishing the talent pool, farm system, recruiting, scouting, all these things go on. They're instrumental. Data's a key driver. What new innovations that the casual fan or IT person might be interested in what's going on around scouting and understanding the asset of a human being? >> Right. Sure. I mean some of this gets highly confidential and things, but I think at a macro level, as you start to see both in the minor leagues and in some portions of the major leagues, wearable technologies. I think beyond just sort of player performance information that you would see traditionally with you might associate it with like Billy Beane, and things like that with "Moneyball" which is evolved obviously considerably since those days. I mean understanding sort of player wellness, understanding sort of how to get the most out of a player and understanding sort of, be able to kind of predict potential injuries and accelerate recoveries and being able to use all of this technology where appropriate to really kind of help sort of maximize the value of player performance. I mean, David Ortiz, you know, I don't know where we would have been in 2018 without, you know, David. >> John: Yeah. >> But like, you know >> Longevity of a player. >> Absolutely. >> To when they're in the zone. You wear a ring now to tell you if you're sleeping well. Will managers have a visual, in-the-zone, don't pull 'em out, he can go an extra inning? >> Well, I mean they have a lot of data. We currently don't provide all that data to the clubhouse. I mean, you know, and so If you're in the dugout, that information isn't always readily available type of thing. But players know all this information. We continue to evolve it. At the end of the day though, it's finding the balancing act between data and the aptitudes of our coaching staff and our managers to really make the wise decisions. >> Brian, final question for you. What's the coolest thing you're working on right now? Besides the fan having a great experience, 'cause that's you kind of touched on that. What's the coolest thing that you're excited about that you're working on from a tech perspective that you think is going to be game-changing or interesting? >> I think our cloud strategy coming up in the future. It's still a little bit early stage, but our hope would be to kind of have clarity about that in the next couple months. I think is going to be a game-changer for us. I think having, you know, we enjoy a great relationship with Dell EMC and yet we also do work in the cloud and so being able to leverage the best of both of those to be able to kind of create sort of a compelling experience for both fans, for both player, baseball operations as well as sort of running an efficient business, I think is really what we're all about. >> I mean you guys are the poster child for hybrid cloud because you got core, data center, IoT, and >> No doubt. So it's exciting times. And we're very fortunate that with our relationship organizations like Dell and EMC, we have leading-edge technologies. So we're excited about where that can go and kind of what that can mean. It'll be a big step. >> Okay two personal questions from me as a fan. One is there really a money-counting room like in the movie "The Town"? Where they count a big stack of dollar bills. >> Well, I'm sure there is. I personally haven't visited it. (laughs) I know it's not in the room that they would tell you it is on the movie. (laughter) >> And finally, can The Cube get press passes to cover the games, next to NESN? Talk tech. >> Yeah, we'll see what we can do. >> They can talk baseball. We can talk about bandwidth. Right now, it's the level five conductivity. We're looking good on the pipes. >> Yeah we'll give you a tech tour. And you guys can sort of help us articulate all that to the fans. >> Thank you so much. Brian Shield, Vice President of Technology of the Boston Red Sox. Here talking about security and also the complications and challenges but the mega-opportunities around what digital and fan experiences are with the physical product like baseball, encapsulates kind of the digital revolution that's happening. So keep covering it. Here in Miami, I'm John Furrier. We'll be right back after this short break. (techno music)
SUMMARY :
Brought to you by Acronis. We are in Miami Beach, the Fontainebleau Hotel. It's great to be here. John: So congratulations on the rings. Hey we appreciate that. You got to show Which camera is the good one? Bummer about this year. Again, things move on, but you know. Fenway Park, the cathedral of baseball parks. because of the threats. So you got business, team, fans. sort of relish the nostalgia of sports But over the last six, seven years, you know and I think it really speaks to sort of and digital has certainly consumed the world. You speak to a theater. So therefore, the technology has to be seamless. Well the data's got to be ubiquitous, right? about Fenway Park and how we modernize, and having things on brand as well. Saying being on brand, not kind of tearing down the old. that you may not have had before. One of the challenges that you guys have in Boston, that you guys are looking at Yeah so Fenway Park, we struggle as you know, Bentley, Babson, all the schools in the area. and the role that technology can play in the future. to cyber protection. What is the security kind of posture that you guys have? These guys are the lifeblood of our, you know, so those are end points now connecting to your network. for both ourselves and for all the touchpoints to fans. So I got to ask you the modernization question. So has digital blurred the lines So I mean, first off, the relationship of the franchise agreement, isn't it? really hats off to those guys, That's a huge, kind of shows the power of data One of the things that Major League Baseball does What new innovations that the casual fan or IT person and in some portions of the major leagues, You wear a ring now to tell you if you're sleeping well. and our managers to really make the wise decisions. that you think is going to be game-changing and so being able to leverage the best of both of those and kind of what that can mean. like in the movie "The Town"? I know it's not in the room that they would to cover the games, next to NESN? We're looking good on the pipes. articulate all that to the fans. and also the complications and challenges
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Day 2 Kick off | Pure Accelerate 2019
>> Announcer: From Austin, Texas it's The Cube covering Pure Storage Accelerate 2019, brought to you by Pure Storage. >> Good morning. From Austin, Texas, Lisa Martin with Dave Vellante at Pure Accelerate 2019. This is our second day. We just came from a very cool, interesting, keynote, Dave whenever there's astronauts my inner NASA geek from the early 2000s. She just comes right back up Leland Melvin was on >> Amazing, right? >> With a phenomenal story. Talking about technology and the feeling of innovation but also a great story of inspiration from a steam perspective science, technology, engineering, arts, math, I loved that and, >> Dave: And fun >> Very fun. But also... >> One of the better talks I've ever seen >> It really was. It had so many elements that I think you didn't have to be a NASA fan or a NASA geek or a space geek to appreciate the all of the lessons that Leland Melvin learned along the way that he really is inspiring, everybody the audience to take note of. It was I thought it was... >> And incredibly accomplished, right? I mean scientist, MIT engineer, played in the NFL, went to space, he had some really fun stuff when they were, you know, messing around with with gravity. >> Lisa: Yes. >> I never knew you could do that. He had like this water. >> Lisa: Water, yeah. >> Bubble. >> I'd never seen that before and they were throwing M&M's inside (laughter) and he, you know consumed it choked on it, which is pretty funny. >> Yeah, well it was near and dear to me. I worked with NASA my first job out of grad school. >> Dave: Really? >> I did, and managed biological pilots that flew on the space shuttle and the mission that the he talked about that didn't land, Colombia. That was the mission that I worked on. So when he talked about that countdown clock going positive. I was there on the runway with that. So for me, it just struck a chord of, >> Dave: so this is of course the 50th anniversary of the moonwalk. And you know I have this thing about watches, kind of like what you have with shoes (chuckles) >> Lisa: Hey, handbags. >> Is that not true? Oh, It's handbags for you? (laughing) >> Dave: I know this really that was a terrible thing for me to say. >> That's okay. >> Dave: You have great shoes so I just I just assumed that not good to make assumptions. So I bought a moon watch this year which was the watch that Neil Armstrong used to not the exact one but similar one, right? >> Lisa: Yeah. And it actually has an acrylic face because they're afraid if it cracked in space you'd have glass all over the place. [Lisa] Right. So that's a little nostalgia there. >> Well one of the main things too as you look at the mission that President John F. Kennedy established in the 60's for getting a man in space in that 10-year period. That being accomplished and kind of a parallel with what Pure Storage has done in its first 10 years of tremendous innovation. This keynote again Day 2, standing room only at least about 3000 people or so here. Storage as James Governor said, your friend and also who keynoted after Leland this morning you know, (mumbles) Software's eating the world storage is eating the world we have to have secure locations to store all this data so that we can extract maximum value from it. So nice parallel between the space program and Pure Storage. >> James is really good, isn't he? I mean he had to follow Leland and I mean again one of the better talks I've ever heard, but James is very strong, he's funny, he's witty he's he cuts to the chase. >> Lisa: Yes. >> He always tells it like it is. He's a very Monkchips is very focused on developers and they do a really good job there, one of the things he talked about was S3 and how Amazon uses this working backwards methodology which maybe a lot of people don't know about but what they do is they write and rewrite and rewrite and vet and rewrite the press release before they announce the product and even before they develop the products they write the press release and then they work backwards from there. So this is the outcome that we are trying to achieve, and it's very disciplined process that they use and as he said they may revise it hundreds and hundreds of times and he put up Andy Jassy's quote from 2004, around S3. That actually surprised me. 2000...Maybe I read it wrong. >> Lisa: No, it was 2004. >> Because S3 came out after EC2 which was 2006 so I don't know. Maybe I'm getting my dates wrong or I think James actually got his dates wrong but who knows, maybe you know what? Maybe he got a copy of that from the internal working document, working backwards doc that could be what it was but again the point being they envisioned this simple storage that developers didn't have to think about >> Lisa: Right. >> That was virtually unlimited in capacity, highly available and you know, dirt cheap which is what people want and so he talked about that and then he gave a little history of the Dell technology families and I tweeted out this in a funny little you know basically pivotal VM ware EMC and Dell and their history Dell was basically IPO 1984 and then today. There was a few things in between I know but he's got a great perspective on things and I think it resonated with the audience then he talked a lot about Kubernetes jokingly tongue-in-cheek how Kubernetes everybody thought was going to kill VMware but his big takeaway was look you got all these skills of (mumbles) Skills, core database skills, I would even add to that you know understanding how storage works and I always joke if your career is based on managing lawns you might want to rethink your career. But his point was which I liked was look all those skills you've learned are valuable but you now have to step up your game and learn new skills. You have to build on top of those skills so the history you have and the knowledge that you've built up is very valuable but it's not going to propel you to the next decade and so I thought that was a good takeaway and it was an excellent talk. >> So looking back at the conversations yesterday the press releases that came out the advancements of what Pure is doing, with AWS, with Nvidia, with the AI data-hub for example, delivering more of their portfolio as a service to allow businesses whether it's a law-firm like we talked to yesterday utility or Mercedes AMG Petronas Motor-sport, to be able to access data securely, incredibly quickly, recover it restore it absolutely critical and really can be game-changing depending on the type of organization. I want to get your perspectives on some of the things you heard anecdotally yesterday after we wrapped in terms of the atmosphere, the vibe, the thoughts on Pure's next 10 years. >> Yeah, so several things, just some commentary so it's always good at night you go around you get a lot of data we sometimes call it metadata. I think one of the more interesting announcements to me was the block-storage on AWS. I don't necessarily think that this is going to be a huge product near term for Pure in terms of meaningful revenue, but I think it's interesting that they're embracing the trend of the Cloud and are actually architecting Cloud solutions using Amazon services and blending in their own super gluing their own, I mean it's not really superglue but blending in their own software for their customers to extend. Now, you know some of the nuances I don't think they are going to have they have better right performance I think they'll have better read performance clearly they have better availability I think it's going to be a little bit more expensive. All these things are TBD that's just my take based on looking at what I've seen and talking to some people but to me the important thing is that Pure's embracing that Cloud model. Historically, companies that are trying to defend an existing business, they retreat. You know, they denigrate they don't embrace. We know that Pure's going to make more money on pram than it does in the Cloud. At least I think. And so it's to their advantage for companies to stay on-prem but at the same time they understand that trend is your friend and they're embracing that so that was kind of one thing. The second thing I learned is Charlie Giancarlo spent a lot of time with them last night as did you. He's a bit of a policy wonk in very certain narrow areas. He shared with me some of the policy work that he's done around IP protection and not necessarily though on the side that you would think. You would think that okay IP protection that's a good thing but a lot of the laws that were trying to be promoted for IP protection were there to help big companies essentially crush small companies so he fought against that. He shared with me some things around net neutrality. You would think you know you think you know which side of net neutrality he'd be on not necessarily so he had some really interesting perspectives on that. We also talked to and I won't share the name of the company but a very large financial institution that's that's betting a lot on Pure was very interesting to me. This is one of the brand names everybody would know it if you heard it. And their head of storage infrastructure was here, at the show. Now I know this individual and this person doesn't go to a lot of shows >> Maybe a couple a year. >> This person chose to come to this show because they're making an investment in Pure. In a fairly big way and they spent a lot of time with Pure management, expressing their desires as part of an executive form that Pure holds they didn't really market that a lot they didn't really tell us too much about it because it was a little private thing but I happen to know this individual and and I learned several things. They like Pure a lot, they use it for a lot of their workloads, but they have a lot of other storage, they can't necessarily get rid of that other storage for a lot of reasons. Inertia, technical debt, good tickets at the baseball game, all kinds of politics going on there. I also asked specifically about some hybrid companies products where the the cost structure's a little bit better so this gets me to flash array C and we talked to Charlie Giancarlo about this about his flash prices come down and it and opens up new markets. I got some other data yesterday and today that you know that flash array C is not going to be quite priced we don't think as well as hybrid arrays closing the gap it's between one and one and a quarter, one and a half dollars per gigabyte whereas hybrid arrays you are seeing half that, 70 cents a gigabyte. Sometimes as low as 60 cents a gigabyte. Sometimes higher, sometimes high as a dollar but the average around 65-70 cents a gigabyte so there's still a gap there. Flash prices have to come down further. Another thing I learned I'm going to just keep going. >> Lisa: Go ahead! >> The other thing I learned is that China is really building a lot of fab capacity in NAND to try to take out the thumb-drive market-place so they are going to go after the low-end. So companies like Samsung and Toshiba, Toshiba just renamed the company, I can't remember the name of the company but Micron and the NAND flash NAND manufacturers are going to have to now go use their capacity and go after the enterprise because China fab is going to crush the low-end and bomb the low-end pricing. Somebody else told me about a third of flash consumption is in China now. So interesting things going on there. So near term, flash array C is not going to just crush spinning disk and hybrid, it's going to get closer and it's going to slowly eat away at that as NAND prices come down it really could more rapidly eat away at that. So I just learned some other stuff too but I'll take a breath. (laughter) >> So one of the things I think we are resounding with it we heard not just yesterday on the program day but even last night at the executive event we were at is that from this large financial services company that you mentioned, Pure storage is a strategic partner to many organizations from small to large that is incredibly valued to your point the Shuttleman only goes to maybe a couple of events a year and this is one of them? >> Dave: Right. >> This is a company that in its first 10 years has embraced competition head on and I loved how you talked about yesterday 10 years ago they just drove a truck through EMC's market and sort of ripping and replacing. They're bold but they're also doing it in a way that's very methodical. They're working on bringing you know changing companies' perspectives of even backup data as becoming an asset to put it on flash. Because if you can't rapidly restore that, if there's an outage whether it is an attack or it's unintentional human related, that data can't be recovered quickly, you're in a big big problem. And so them as a strategic component of this isn't in any industry I think it was a very resounding sentiment that I heard and felt yesterday. >> Yeah, this ties into tam expansion of what we talked to Charlie Giancarlo about new workloads with AI as an example flash or AC lowering prices will open up those some of those new workloads data protection backup is clearly an opportunity and I think it's interesting, you're seeing a lot of companies now announce a lot of vendors announce flash based recovery systems I'll call them recovery systems because I don't even consider them backup anymore it's not about backup, it's about recovery. Oracle was actually one of the first to use that kind of concept with the zero data loss recovery appliance they call it recovery. So it's all about fast and near instantaneous recovery. Why is that important? It's because it's companies move toward a digital transformation and what does that mean? And what is a digital business? Digital business is all about how you use data and leveraging data in new ways to create new value to monetise or cut cost. And so being able to have access to that data and recover from any inaccess to that data in a split-second is crucial. So Pure can participate in that, now Pure's not alone You know, it's no coincidence that Veritas and Veeam and Cohesity and Rubrik they work with Pure, they work with HPE. They work with a lot of the big players and so but so Pure has to you know, has some work to do to win its fair share. Staying on backup for a moment, you know it's interesting to see, behind us, Veritas and Veeam have the biggest sort of presence here. Rubrik has a presence here. I'm sure Cohesity is here maybe someway, somehow but I haven't seen them >> I haven't either. >> Maybe they're not here. I'll have to check that up, but you know Veeam is actually doing very well particularly with lower ASPs we know that about Veeam. They've always come at it from the mid-market and SMB. Whereas Cohesity and Rubrik and Veritas traditionally are coming at it from a higher-end. Certainly Cohesity and Rubrik on higher ASPs. Veeam's doing very well with Pure. They're also doing very well with HPE which is interesting. Cohesity announced a deal with HPE recently I don't know, about six months ago somebody thought "Oh maybe Veeaam's on the outs." No, Veeam's doing very well with HPE. It's different parts of the organization. One works with the server group, one works with the storage group and both companies are actually doing quite well I actually think Veeam is ahead of the curve 'cause they've been working with HPE for quite some time and they're doing very well in the Pure base. By partnering with companies, Pure is able to enter that market much in the same way that NetApp did in the early days. They have a very tight relationship for example with Commvault. So, the other thing I was talking to Keith Townsend last night totally not secretor but he's talking about Outpost and how Amazon is going to be challenged to service Outpost Outpost is the on-prem Amazon stack, that VMware and Amazon announced that they're co-marketing. So who is going to service outpost? It's not going to be Amazon, that's not their game in professional service. It's going to have to be the ecosystem, the large SIs or the Vars the partners, VMware partners 'cause that's not Vmwares play either. So Keith Townsend's premise, I'd love to have him on The Cube to talk about this, is they're going to have trouble scaling Outpost because of that service issue. Believe it or not when we come to these conferences, we talk about other things than just, Pure. There's a lot of stuff going on. New Relic is happening this week. Oracle open world is going on this week. John Furrier just got back from AWS Bahrain, and of course we're here at Pure Accelerate. >> We are and this is our second day of two days of coverage. We've got Coz on next who I think has never been on The Cube. >> Dave: Not to my knowledge. >> We've got Kix on later. A great lineup, more customers Rob Lee is going to be on. So we're going to be digging more into Pure's Cloud strategy, the next ten years, how they're going to accelerate that and pack it into the next couple of years. >> I'll tell you one of the things I want to do, Lisa. I'll just call it out. An individual from Dell EMC wrote a blog ahead of Pure Accelerate I think it was last week, about four or five days ago and this individual called out like one, two, three, four.... five things that we should ask Pure so we should ask them, we should ask Coz we should ask Kix. There was criticism, of course they're biased. These guys they always fight. >> Lisa: Naturally. >> They have these internecine wars. >> Lisa: Yep. >> Sometimes I like to call them... no I won't say it. So scale out, question mark there we want to ask Coz about that and Kix. Pure uses proprietary flash modules. They do that because it allows them to do things that you can't do with off-the-shelf flash. I want to ask and challenge them that. I want to ask about their philosophy on tiering. They don't really believe in tiering, why not? I want to understand that better. They've made some acquisitions, Compuverde is one acquisition, it's a file system. What does that mean for flash play? >> Now we didn't hear anything about that yesterday, so that's a good point that we should dig into that. >> Yeah, so we'll bring that up. And then the Evergreen competitors hate Evergreen because Pure was first with it they caught everybody off guard. I said it yesterday, competitors hate Evergreen because competitors live off of maintenance and if you're not on their maintenance they just keep jacking up the maintenance prices and if you don't move to the new system, maintenance just keeps getting more and more and more and more expensive and so they force you, you're locked in. Force you to move. Pure introduced this different model. You pay for the CapEx up front and then, you know, after three years you get a controller swap. You know, so... >> To your point competitors hate it, customers love it. We heard a lot about that yesterday, we've got a couple more customers on our packed program today, Dave so let's get right to it! >> Great. >> Let's wrap up so we can get Coz on stage. >> Dave: Alright, awesome. >> Alright, for Dave Vellante. I'm Lisa Martin, you're watching The Cube from Pure Accelerate 2019, day two. Stick around 'Coz' John Colgrove, CTO, founder of Pure, will be on next. (upbeat music)
SUMMARY :
brought to you by Pure Storage. my inner NASA geek from the early 2000s. Talking about technology and the feeling of innovation But also... is inspiring, everybody the audience to take note of. played in the NFL, went to space, I never knew you could do that. and he, you know consumed it choked on it, I worked with NASA my first job out of grad school. that flew on the space shuttle and kind of like what you have with shoes Dave: I know this really that was a Dave: You have great shoes so I just I just assumed that So that's a little nostalgia there. Well one of the main things too as you look I mean he had to follow Leland and I mean again one of the things he talked about was S3 and how Amazon Maybe he got a copy of that from the internal so the history you have and the knowledge that you've So looking back at the conversations yesterday I don't necessarily think that this is going to be array C is not going to be quite priced market-place so they are going to go after the low-end. as becoming an asset to put it on flash. but so Pure has to and how Amazon is going to be challenged to service Outpost We are and this is our second day and pack it into the next couple of years. I think it was last week, about four or five days ago They do that because it allows them to do things so that's a good point that we should dig into that. and if you don't move to the new system, so let's get right to it! CTO, founder of Pure, will be on next.
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Brendan Harris, SeventySix Capital | Sports Tech Tokyo World Demo Day 2019
>> Hey, welcome back. You're ready, Jeff? Rick! Here with the Cube were Oracle Park recently, A T and T Park just renamed. It's a beautiful day home in San Francisco Giants. They're on the road. We're here at a pretty interesting event is called Sports Tech. Tokyo World Demo Day brought together a coalition of about 100 startups. 25 of them are given demos today on technology as it relates to sports. But even more importantly, that can then be used in other in others. Beyond sports. We're excited to have an athlete on not just another tech crazy guy. He's Brendan Harris. He's an athlete in residence at 76 Capital. Brendan. Thanks for stopping by. >> Thanks for having me. >> So what is the effort, Principles and entrepreneur in residence? Where is the athlete residents do? It is >> essentially a play on the entrepreneur in residence. I was introduced to 76 Capital finished playing in 15 and I was doing my MBA at Warden and in Philly and got introduced Thio Wayne and the guys at 76. And they are kind of putting together an athlete venture group. Whether they're bringing in a lot of athletes don't wannabe investors and kind of providing them access to deal >> flow and >> um, >> and then also leveraging their social capital. So, uh, he was He was kind of tickled when he came when he coined the term athlete residents and he threw it on my business card. And and that's where we're at, >> right? So I'm just curious your perspective as an athlete as you look around at all the technology that's going into sports, right? Kind of the big categories are, you know that which helps the players play better. There's that which helps the people run, the team's better. And then there's that, which is really kind of part of the fan experience. I mean, you actually to go down and try to put wood on a ball coming at you in 90 plus miles an hour. All this other stuff. Do you see it as is it interesting is distraction. Is it entertaining? I mean, how do you look at it from an athlete's perspective? >> So yeah, so a lot to impact. So first of all, I have this ah, equally the equal view of fascination and frustration where a lot of this wasn't he wasn't around when I when I was playing it, certainly from the field. Now we're taking in things like recovery and rest and sleep. Ah, but I think players and me personally are fascinated with How can we improve on field performance? And I think baseball. It's such a perfect game and you fail so often, being able to turn to turn things that were previously subjective and applied data and in tech to make them objective and give you answers. I think it's fascinating and the ways that we can use data to to kind of promote performance and health and and all those things air Very fascinating. So from players, point of view, we're all about it. But at the same time, I think it certainly says why I've loved to get into sports. Tech is there's a lot of data that's just noise that's coming in and things. And so the tough part is, um, kind of weeding through and what is actionable info on what can actually help improve the on field performance? And then along with that, you know, we want to feel the product on the field, but also what the service is for the consumer and the fans are. And how can we improve that and then engage them? Because certainly sports are part of the culture and part of life now, and it's fascinating. These fans want to know more and more and more, certainly what's going >> on. And it's been It's been a >> great journey, >> right? So on the fan experience specifically, and we've been we've been here a number of years. Bill Styles, a good friend of mine off another word and other work. Brad and and, you know, talking about high density WiFi and you know the app on your phone and delivered, you know, food delivered to your seats. I mean, >> as a as an >> athlete on the field. Do you look at kind of all these things is as a distraction. Do you appreciate? It's kind of a more competitive environment these days in terms of people's attention and kind of that entertainment dollar. But I would imagine from between the lines it looks like Hey, you know, the game's down here people. It's been >> interesting because, um, you know, one of the problems of a major league baseball's been trying to address his pace of games right. And if you really look at the data, they're not that much longer. What's different? We're wired differently, right? So our attention spans are short and we're constantly so our technology. So these, you know, guys like Bill, you are trying to leverage that and try to have your food delivered and try to increase the social component. Increased the value in the in venue experience so that you're not only watching the game, but you're socially enjoying at the same time and kind of fill in those gaps. Ah, lot of it is yes on. And I think there's been balls flying into the stands since baseball's been playing, but they need to put the netting up. Has come a lot of times because nobody's watching. Some people aren't not nobody, but a lot of people aren't watching. The games are getting hit with a lot of these foul balls. So there is that component where you know there's there's some unbelievable things are going off on the sides. But um, you know it's baseball is still gonna be kind of very somewhat within within the confines. >> The other piece that I find really interesting on the data side, right? Is there so much data? Right? There's data data data. Obviously, baseball is built on data and arguments about data and conversations about data, but now it's kind of gone to this next Gen with, you know, wins over replacement and all these other things. But sometimes it's funny to me. It feels like they're forgetting the object of the game is to win the game. And it feels like sometimes the metadata has now become more important than the data. Did you win or lose and is not necessarily being used as a predictor for future performance? But it's almost like a standalone game in and of itself. Like we forget. The object is to win the game and win a championship, not to have the highest war number views since that frustration is that sound? Yeah, I think what you're getting >> into a lot of times is our know how are we making decisions right? And in the game? A lot of times people forget that human beings are out there performing and so I think that's how we've gotten into Moneyball 2.0, looking at development and certainly mental health in focus and game preparation have come into play more and you're seeing some managers. I mean, Mickey Callaway just came out and said 80% my, you know, Susan's go against the data, which which I thought was a little bit interesting, but, ah, so there is that fine line right where you have to filter in what's noise and what's actionable. And at the same time, um, you know, allow you know, your managers and your decision makers some flexibility to go with, You know, they're they're in the heat of the battle and they kind of know their guys. And they know the human element that's involved. So it's it's an interesting, you know, trying to balancing act, >> right? So from your from your new job in your new role, what are some of the things you hope to see today? What are some things that you're excited about? Um, you know, from kind of an investor. And having played the game as well. As you know, I'm looking forward to the evolution of sports. Two >> things specifically how the, uh certainly bias the performs on the field in the human element. And certainly everybody wants workout secrets, and I don't feel like it's whether it's athletes or the kind of weekend warrior or people that are, you know, kind of your senior citizens. And I don't think it's a simple as this has worked, and you should do this. It's a very personalized experience now. And I think some of this personalized digital fitness is fascinating to me on and then how it relates to and how your body relates to, you know, your diet and nutrition, your sleep, your recovery. I think all those air fascinating that, uh, advances that I want to look into more. And the second is a CZ, I kind of mentioned is the fan engagement aspect. How do we drive those those fans that digital, >> um, and >> make it actionable and monetize, right? So that you know, you have your fans that are following you know, your Facebook, twitter and all those things. And so how do you not only gauge them, but collect that data and then kind of personalized that experience? Engage your fan in a way that can kind of grow your brand. Yeah, it's interesting to me, >> really interesting to have to have your perspective, and I'm sure will be a great day and you see all kinds of crazy stuff. So thanks for taking a few minutes. >> Yeah, Any time. >> All right. He's Brendan. I'm Jeff. You're watching The Cube were at Oracle Park in San Francisco. Thanks for watching. We'll see you next time.
SUMMARY :
They're on the road. and the guys at 76. And and that's where we're at, Kind of the big categories are, you know that which helps the players play better. And then along with that, you know, we want to feel the product on the you know, talking about high density WiFi and you know the app on your phone and delivered, you know, the game's down here people. So these, you know, guys like Bill, you are trying to leverage that and try to have but now it's kind of gone to this next Gen with, you know, wins over replacement and all these other things. And at the same time, um, you know, allow you know, As you know, I'm looking forward to the evolution of sports. it's athletes or the kind of weekend warrior or people that are, you know, kind of your senior citizens. So that you know, you have your fans that are following really interesting to have to have your perspective, and I'm sure will be a great day and you see all kinds of crazy stuff. We'll see you next time.
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Todd Sims, AXS | Sports Tech Tokyo World Demo Day 2019
>> Hey, welcome back, everybody. Jefe Rick here with the Cube. Where? It Oracle Park in San Francisco, on the stork with cubby code. We're excited to be here. They're moving a lot of dirt, I think downstairs. But we're at a very cool event. It's called Sports Tech Tokyo World Demo Day. And we're excited. Have our next guest. He's Todd Simms s VP of corporate development from access taught. Great to see you. Great >> to be here. Thank you. Absolutely. So, for people are familiar with access. Give us kind of the company over here. >> We're a global ticketing company. We were launched out of ah global sports and entertainment company called E E G in 2011. And we serve live the live entertainment market and ticketing. Excellent. >> All over the world, >> different types of events. >> E e g. Is a global company with a run venues worldwide. And we serve them as well as third party clients. >> Okay, great. So we're here. It's sports tech, Tokyo. It's a little bit different. Type of an organization. Kind of an incubator. Not really an incubator kind of association, early association, but certainly a community. Why are you guys here. What is this organization mean to you? Why is that important? >> Yeah, it's really important. We We launched our ticketing service in Tokyo last year, and you know, that's a market that we love. It's a vibrant large market with super passionate fans, both on the sports side and on the music side. What it really needs is more of an ecosystem. It can't just be a new, innovative ticketing platform needs all the bells and whistles around it to really innovate the fan experience. And that's what these startups are doing. I >> just I just love this job because, you know, you think of many industries if you're not familiar with them, and they seem really simple on the outside and like everything, once you get under the covers, >> a lot more going on. So >> from the outside, looking in a ticket is a ticket. Yeah, what's the innovation and tickets? What's different about somebody in Japan buying a ticket to watch a baseball game than >> somebody find a ticket to come here to talk >> a little bit about what we're bringing to Tokyo and what we brought to our platform of clients here in the States as well as in Europe, and that's really a digital I. D based ticketing system. So when you walk into the Staples Center at L. A live in Los Angeles, that thing that's getting scanned is not a ticket. It's an identity, it's you. And what's being reviewed is whether you have access to that building on that night or not. So what that allows for is full data around the customer base. Every president of every team wants to know two things. They want to know who's in there building, and they wanna have some control, whether it's economic control or otherwise on the secondary market. Our digital I D ticketing system enables both of that, and that's kind of the innovation that we're bringing to the Tokyo market. >> But I would imagine when you say, you know it's me, you know the opportunities way beyond that because now you know what in my preference is, how often do I come? What kind of beer do I like to drink? It just opens up a whole kind of CR m ah, world of opportunity for this relationship between the team now in that person with that barker, >> absolutely, and that happens today, but what you're missing is every time someone comes in with a paper ticket, you're really not sure who's entering the building. So that eliminates that piece of that. And it gets all these teams with analytic departments to really have a full picture of their fan base. So, you know, they may have been investing in some of this and capturing 60 70% of their who's in the building. Now they have 100% right, >> and I would imagine they've been doing this for a long time, with kind of their season ticket base and knowing they're in the building. But it got a lot of data on their season ticket holders. How is that? You know, changed. What can they apply there to? The casual fan that maybe bought a ticket on the secondary market and his, you know, common is sitting in the bleachers? >> Well, it's huge >> for up sales and establishing that relationship. A lot of teams, if you've you know, just buying a single ticket off a secondary market, you're nowhere in that database now because of our I D based system. Those people are now prospects for either mini pack or a season ticket back. It's right. Just >> curious how the rise of the secondary market really impacted the teams and how they think about their own ticket based. I think the 1st 1 is probably StubHub back in the day for some, and it all happened kind of outside the purveyor of leagues and outside the purveyor of the teams. Likely, they're pretty smart and figured out we need to be a piece of this. So how did that kind of evolution change the way the teams think about their fans? Well, look, I mean, teams >> like music promoters, they Sometimes they like the brokers getting involved because it takes risk off the table. I think teams air realizing, though, that a riel yield management perspective on their ticket inventory to really revenue manage this appropriately. They have to take a holistic approach on their >> tickets, and any time you >> have a segment of your >> ticket base where you really don't have control of pricing distribution, >> all of that, it really hurts and it has an impact on your unsold primaries. So what teams are looking to do is gain more control and manages inventory more holistically to do that you really need to know all the data. And again, the I. D based ticketing system enables secondary sales. But at least you are tracking those sales and, you know, from one person to the next who who sold it, who bought it >> right? I'm curious to get your perspective on on the difference between if you arm or >> entertainment focused. So you know, the Rolling Stones were in town a couple nights ago, and it's really a one shot deal for the Rolling Stones in the Bay Area that night versus the Giants game, right where you're hoping that your people come back over and over. Did they think of it differently? Or is it Maur? You know, Jeff, you like music? You went to the Rolling Stones last night. Maybe you'll come and see somebody else tonight. Is that is that well, can't were they? No doubt, sports teams are >> a lot smarter about their fan base. They have loyalty built in. They have got history, you know there's variability. There's night of game. And then there's weather in who's on the mound and all of those factors. But promoters are, ah, lot more in the dark about, you know, Is this an artist that you know? How much credence can they put in the last two? Or they did. It's too been two years. Is that artist still going to sell appropriately or similarly than they did last time again? The secondary market on the music side is made a bigger issue because of that variability, and those promoters are willing to take risk off the table. But the same thing applies in order for them to really manage and revenue manage that tour. They really need to know who's buying and grab some of that secondary economics out of the system. Right? And that's again, what our platform enables, and that's what we're really bringing to the Tokyo market. It's really exciting. That's a great market for >> us. I was gonna say just to close. >> You know what's special about the Tokyo market either? From an opportunity side, we're kind of a unique way which they do things or unique way in which the kind of the fan experiences as you look at that market. >> Well, it's interesting. I mean, in a culture that is so reliant on such interesting technology, these ticketing technology is actually quite old, and so we're excited to bring that. We've got great partners past Revo is our partner there, and they're really selling that through the Yahoo ticketing channel. Uh, they we have we just signed the B league, which is the professional basketball league will be rolling them out in their fall season coming up soon here. But basically, they are looking for the same things. We're looking for more data and Maura capturing of the secondary market, and we can bring that to them. >> All right. Well, Todd, thanks for taking a few minutes. Pull the covers back off ticketing A lot more going on than people think. Thank you very much. All right, He's >> taught. I'm Jeff. You're watching The Cube. Were Rhetorical Park on the shores of >> McCovey Cove in San Francisco. Thanks for watching. We'll see you next time.
SUMMARY :
on the stork with cubby code. to be here. We're a global ticketing company. And we serve them as well as third party clients. What is this organization mean to you? last year, and you know, that's a market that we love. a lot more going on. from the outside, looking in a ticket is a ticket. both of that, and that's kind of the innovation that we're bringing to the Tokyo market. So, you know, they may have been investing in some on the secondary market and his, you know, common is sitting in the bleachers? A lot of teams, curious how the rise of the secondary market really impacted the teams and management perspective on their ticket inventory to really revenue manage this And again, the I. D based ticketing system enables secondary sales. and it's really a one shot deal for the Rolling Stones in the Bay Area that night ah, lot more in the dark about, you know, Is this an artist that you know? as you look at that market. and Maura capturing of the secondary market, and we can bring that to them. Pull the covers back off ticketing Were Rhetorical Park on the shores of We'll see you next time.
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Dan Meacham, Legendary Entertainment | AWS re:Inforce 2019
>> Live from Boston, Massachusetts, it's The Cube, covering AWS re:Inforce 2019. Brought to you by Amazon web services and its ecosystem partners. >> Hey, welcome back everyone. It's The Cube's live coverage here in Boston, Massachusetts for AWS re:Inforce. This is Amazon web services' inaugural security conference around Cloud security. I'm John Furrier. My host Dave Vellante. We've got special guest, we've got another CSO, Dan Meacham, VP of Security and Operations at Legendary Entertainment. Great to see you. Thanks for coming on The Cube. >> Oh, thank you. It's a very pleasure to be here. >> We had some fun time watching the Red Socks game the other night. It was the best night to watch baseball. They did win. >> Was it ever. >> Always good to go to Fenway Park, but we were talking when we were socializing, watching the Red Socks game at Fenway Park about your experience. You've seen a lot of waves of technology you've been involved in. >> Yes, yes. >> Gettin' dirty with your hands and gettin' coding and then, but now running VP of Security, you've seen a lot of stuff. >> Oh. >> You've seen the good, bad, and the ugly. (laughing) >> Yeah, fun business. >> It is. >> You guys did Hangover, right? >> Yes. >> Dark Knight. >> Yes. >> Some really cool videos. >> Good stuff there, yeah. And it's just amazing cause, you know, how much technology has changed over the years and starting back out in the mid-eighties and early nineties. Sometimes I'm just like, oh, if I could only go back to the IPXSX days and just get rid of botnets and things like that. (laughing) That'd be so much easier. Right? >> The big conversation we're having here, obviously, is Amazon's Security Conference. What's your take on it? Again, security's not new, but their trying to bring this vibe of shared responsibility. Makes sense because they've got half of the security equation, but you're seeing a lot of people really focusing on security. What's your take of, so far, as an attendee? >> Well, as we look and, cause I like to go to these different things. One, first to thank everybody for coming because it's a huge investment of time and money to be at these different shows, but I go to every single booth to kind of take a look to see where they are cause sometimes when we look at some of the different technology, they may have this idea of what they want the company to be and they're maybe only a couple years old, but we may see it as a totally different application and like to take those ideas and innovate them and steer them in another direction that kind of best suits our needs. But a lot of times you see a lot of replay of the same things over and over again. A lot of folks just kind of miss some of the general ideas. And, um, this particular floor that we have, there's some interesting components that are out there. There's a lot of folks that are all about configuration management and auto correction of misconfigured environments and things like that. Which is good, but I think when we look at the shared responsibility model and so forth, there's some components that a lot of folks don't really understand they really have to embrace in their environment. They think, oh it's just a configuration management, it's just a particular checklist or some other things that may fix something, but we really got to talk about the roots of some of the other things because if it's not in your data center and it's out somewhere else, doesn't mean you transfer the liability. You still have the ownership, there's still some practice you got to focus on. >> Take us through the Cloud journey with Legendary. You put some exchange service out there. Continue. >> Yes, and so as we started bringing these other different SaaS models because we didn't want to have the risk of if something went down we lost everything, but as we did that and started embracing Shadow IT, because if this worked for this particular department, we realized that there wasn't necessarily a applicable way to manage all of those environments simultaneous. What we mean after the standpoint, like we mentioned before, the MFA for each of these different components of the Cloud applications. So that naturally led us into something like single sign-on that we can work with that. But as we started looking at the single sign-on and the device management, it wasn't so much that I can't trust you devices, it's how do I trust your device? And so that's when we created this idea of a user-centric security architecture. So it's not necessarily a zero trust, it's more of a, how can I build a trust around you? So, if your phone trusts you based off of iometrics, let me create a whole world around that, that trust circle and build some pieces there. >> Okay, so, let me just interrupt and make sure we understand this. So, you decided to go Cloud-First. You had some stuff in colo and then said, okay, we need to really rethink how we secure our operations, right? So, you came up with kind of a new approach. >> Correct. >> Cloud approach. >> Absolutely. And it's Cloud and so by doing that then, trying to focus in on how we can build that trust, but also better manage the applications because, say for example, if I have a collaboration tool where all my files are, I may want to have some sort of protection on data loss prevention. Well, that Cloud application may have its own piece that I can orchestrate with, but then so does this one that's over here and this one over here and so now I've got to manage multiple policies in multiple locations, so as we were going down that piece, we had to say, how do we lasso the security around all these applications? And so, in that particular piece, we went ahead and we look forward at where is the technology is, so early on, all we had were very advanced sims where if I get reporting on user activity or anomalies, then I had limited actions and activities, which is fine, but then the CASB world ended up changing. Before, they were talking about Shallow IT, now they actually do policy enforcement, so then that allowed us to then create a lasso around our Cloud applications and say, I want to have a data loss prevention policy that says if you download 5,000 files within one minute, take this action. So, before, in our sim, we would get alert and there were some things we could do and some things we couldn't, but now in the CASB I can now take that as a piece. >> So more refined >> Exactly. >> in policy. Now, did you guys write that code? Did you build it out? Did you use Cloud? >> We work with a partner on help developing all this. >> So, when you think about where the CASBs were five years ago or so, it was all about, can we find Shadow IT? Can we find where social security numbers are? Not necessarily can I manage the environment. So, if you were take a step back to back in the old days when you had disparate in network architecture equipment, right? And you wanted to manage all your switches and firewalls, you had to do console on each and every one. Over time as it progressed, we now had players out there that can give you a single console that can get in and manage the entire network infrastructure, even if it's disparate systems. This is kind of what we're seeing right now within the Cloud, where on the cusp of it, some of then are doing really good and some of them still have a lot of things to catch up to do, but we're totally stoked about how this is working in this particular space. >> So, talk about, like, um, where you are now and the landscape that you see in front of you. Obviously, you have services. I know you. We met through McAfee, you have other, some fenders. You have a lot of people knocking on your doors, telling you stuff. You want to be efficient with your team. >> Yes. >> You want to leverage the Cloud. >> Yes. >> As you look at the landscape and a future scape as well, what're you thinking about? What's on your mind? What's your priorities? How're you going to navigate that? What're some of the things that's driving you? >> (sighing) It's a cornucopia of stuff that's out there. (laughing) Depending on how you want to look at it. And you can specialize in any particular division, but the biggest things that we really want to focus on is we have to protect out data, we have to protect our devices, and we have to protect our users. And so that's kind of that mindset that we're really focused on on how we integrate. The biggest challenges that we have right now is not so much the capability of the technology, because that is continually to evolve and it's going to keep changing. The different challenges that we have when we look in some of these different spaces is the accountability and the incorporation and cooperation because a incident's going to happen. How are you going to engage in that particular incident and how are you going to take action? Just because we put something in the Cloud doesn't mean it was a set and forget kind of thing. Because if it was in my data center, then I know I have to put perimeter around it, I know I got to do back-ups, I know I got to do patch management, but if I put it in the Cloud, I don't have to worry about it. That is not the case. So, what we're finding a lot is, some of these different vendors are trying to couch that as, hey we'll take care of that for you, but in fact, reality is is you got to stay on top of it. >> Yeah. And then you got to make sure all the same security practices are in there. So, the question I have for you is: what's the security view of the Cloud versus on premise (muttering) the data's in the perimeter, okay that's kind of an older concept, but as your thinking about security in Cloud, Cloud security versus on premise, what's the difference? What's the distinction? What's the nuances? >> Well, if we go old-school versus new-school, old-school would say, I can protect every thing that's on prem. That's not necessarily the case that we see today because you have all this smart technology that's actually coming in and is eliminating your perimeter. I mean, back in the day you could say, hey, look, we're not going to allow any connections, inbound or outbound, to only outside the United States cause we're just a U.S.-based company. Well, that's a great focus, but now when you have mobile devices and smart technology, that's not what's happening. So, in my view, there's a lot of different things that you may actually be more secure in the Cloud than you are with things that are on prem based off of the architectural design and the different components that you can put in there. So, if you think about it, if I were to get a CryptoLocker in house, my recovery time objective, recovery point objective is really what was my last back-up. Where if I look at it in the Cloud perspective, it's where was my last snapshot? (stuttering) I may have some compliance competes on there that records the revision of a file up to 40 times or 120 times, so if I hit that CryptoLocker, I have a really high probability of being able to roll back in the Cloud faster than I could if I lost something that was in prem. So, idly, there's a lot more advantages in going with the Cloud than on prem, but again, we are a Cloud-First company. >> Is bad user behavior still your biggest challenge? >> Is it ever! I get just some crazy, stupid things that just happen. >> The Cloud doesn't change that, right? >> No! (laughing) No, you can't change that with technology, but a lot of it has to be with education and awareness. And so we do have a lot of very restrictive policies in our workforce today, but we talk to our users about this, so they understand. And so when we have things that are being blocked for a particular reason, the users know to call us to understand what had happened and in many cases it's, you know, they clicked on a link and it was trying to do a binary that found inside of a picture file of all things on a web browser. Or they decided that they wanted to have the latest Shareware file to move mass files and then only find out that they downloaded it from an inappropriate site that had binaries in it that were bad and you coach them to say, no this is a trusted source, this is the repository where we want you to get these files. But my favorite though is, again, being Cloud-First, there's no reason to VPN into our offices for anything because everything is out there and how we coordinate, right? But we do have VPN set up for when we travel to different countries with regards to, as a media company, you have to stream a lot of different things and, so, if we're trying to pitch different pieces that we may have on another streaming video-on-demand service, some of those services and some of those programmings may not be accessible into other countries or regions of the world. So, doing that allows us to share that. So, then, a lot of times, what we find is we have offices and users that're in different parts of the world that will download a free VPN. (laughing) Because they want to to be able to get to certain types of content. >> Sounds good. >> And then when you're looking at that VPN and that connection, you're realizing that that VPN that they got for free is actually be routed through a country that is not necessarily friendly to the way we do business. They're like, okay, so you're pushing all of our data through that, but we have to work through that, there's still coaching. But fortunately enough, by being Cloud-First, and being how things are architected, we see all that activity, where if was all in prem, we wouldn't necessarily know that that's what they were doing, but because of how the user-centric piece is set-up, we have full visibility and we can do some coaching. >> And that's the biggest issue you've got. Bigtime, yes? Visibility. >> What's a good day for a security practitioner? >> (laughing) A good day for a security practitioner. Well, you know, it's still having people grumpy at you because if they're grumpy at you, then you know you're doing you job, right? Because if everybody loves the security guy, then somebody's slipping something somewhere and it's like, hey, wait a minute, are you really supposed to be doing that? No, not necessarily. A good day is when your users come forward and say, hey, this invoice came in and we know that this isn't out invoice, we want to make sure we have it flagged. And then we can collaborate and work with other studios and say, hey, we're seeing this type of vector of attack. So, a good day is really having our users really be a champion of the security and then sharing that security in a community perspective with the other users inside and also communicating back with IT. So, that's the kind of culture we want to have within out organization. Because we're not necessarily trying to be big brother, we want to make it be able to run fast because if it's not easy to do business with us, then you're not going to do business with us. >> And you guys have a lot of suppliers here at the re:Inforce conference. Obviously, Amazon, Cloud. What other companies you working with? That're here. >> That're here today? Well, CrowdStrike is a excellent partner and a lot of things. We'll have to talk on that a little bit. McAfee, with their MVISION, which was originally sky-high, has just been phenomenal in our security architecture as we've gone through some of the other pieces. We do have Alert Logic and also Splunk. They're here as well, so some great folks. >> McAfee, that was the sky-high acquisition. >> That is correct and now it's MVISION. >> And that's the Cloud group within McAfee. What do they do that you like? >> They brought forth the Cloud access security broker, the CASB product, and one of the things that has just been fascinating and phenomenal in working with them is when we were in evaluation mode a couple of years ago and were using the product, we're like, hey, this is good, but we'd really like to use it in this capacity. Or we want to have these artifacts of this intelligence come out of the analytics and, I kid you not, two weeks later the developers would put it out there in the next update and release. And it was like for a couple of months. And we're like, they're letting us use this product for a set period of time, they're listening to what we're asking for, we haven't even bought it, but they're very forward-thinking, very aggressive and addressing the specific needs from the practitioner's view that they integrated into the product. It was no-brainer to move forward with them. And they continue to still do that with us today. >> So that's a good experience. I always like to ask practitioners, what're some things that vendors are doing that either drive your crazy or they shouldn't be doing? Talk to them and say, hey, don't do this or do this better. >> Well, when you look at your stop-doing and your start doing list and how do you work through that? What really needs to be happening is you need your vendor and your account manager to come out on-site once a quarter to visit with you, right? You're paying for a support on an annual basis, or however it is, but if I have this Cloud application and that application gets breached in some way, how do I escalate that? I know who my account manager is and I know the support line but there needs to be an understanding and an integration into my incidents response plan as when I pick up the phone, what' the number I dial? And then how do we engage quickly? Because now where we are today, if I were to have breach, a compromised system administrator account, even just for 20 minutes, you can lose a lot of data in 20 minutes. And you think about reputation, you think about privacy, you think about databases, credit cards, financials. It can be catastrophic in 20 minutes today with the high-speed rates we can move data. So, my challenge back to the vendors is once a quarter, come out and visit me, make sure that I have that one sheet about what that incident response integration is. Also, take a look at how you've implemented Am I still on track with the artchitecture? Am I using the product I bought from you effectively and efficiently? Or is there something new that I need to be more aware of? Because a lot of times what we see is somebody bought something, but they never leveraged the training, never leveraged the support. And they're only using 10% of the capability of the product and then they just get frustrated and then they spend money and go to the next product down the road, which is good for the honeymoon period, but then you run into the same process again. So, a lot of it really comes back to vendor management more so than it is about the technology and the relationship. >> My final question is: what tech are you excited about these days? Just in general in the industry. Obviously security, you've got the Cloud, you're Cloud-First, so you're on the cutting edge, you've got some good stuff going on. You've got a historical view. What's exciting you these days from a tech perspective? >> Well, over the last couple of years, there's been two different technologies that have really started to explode that I really am excited about. One was leveraging smart cameras and facial recognition and integrating physical stock with cyber security stock. So, if you think about from another perspective, Cameras, surveillance today is, you know, we rewind to see something happen, maybe I can mark something. So, if somebody jumped over a fence, I can see cause it crossed the line. Now the smart cameras over the last three or four or five years have been like, if I lost a child in a museum, I could click on child, it tells me where it is. Great. Take that great in piece and put it in with your cyber, so now if you show up on my set or you're at one of our studios, I want the camera to be able to look at your face, scrub social media and see if we can get a facial recognition to know who you are and then from that particular piece, say okay, has he been talking trash about our movies? Is he stalking one of our talent? From those different perspectives. And then, moreover, looking at the facial expression itself. Are you starstruck? Are you angry? Are you mad? So, then that way, I know instantly in a certain period of time what the risk is and so I can dispatch appropriately to have security there or just know that this person's just been wandering around because they're a fan and they want to know something. So, maybe one of those things where we can bring them a t-shirt and they'll move on onto their way and they're happy. Versus somebody that's going to show up with a weapon and we have some sort of catastrophic event. Now, the second technology that I'm really pretty excited about. Is when we can also talk a little about with the Five G technology. So, when everybody talk about FIJI, you're like, oh, hey, this is great. This is going to be faster, so why are we all stoked about things being super, super fast on cellular? That's the technical part. You got to look at the application or the faculty of things being faster. To put it into perspective, if you think about a few years ago when the first Apple TV came out, everybody was all excited that I could copy my movies on there and then watch it on my TV. Well, when internet and things got faster, that form factor went down to where it was just constantly streaming from iTunes. Same thing with the Google Chrome Cast or the Amazon Fire Stick. There's not a lot of meat to that, but it's a lot of streaming on how it works. And so when you think about the capability from that perspective, you're going to see technology change drastically. So, you're smartphone that holds a lot of data is actually probably going to be a lot smaller because it doesn't have to have all that weight to have all that stuff local because it's going to be real-time connection, but the fascinating thing about that, though, is with all that great opportunity also comes great risk. So, think about it, if we were to have a sphere and if we had a sphere and you had the diameter of that sphere was basically technology capability. As that diameter grows, the volume of the technology that leverages that grows, so all the new things that come in, he's building. But as that sphere continue to grow, what happens is the surface is your threat. Is your threat vector. As it continue to grow, that's going to continue to grow. (stuttering) There's a little but of exponential components, but there's also a lot of mathematical things on how those things relate and so with Five G, as we get these great technologies inside of our sphere, that threat scape on the outside is also going to grow. >> Moore's law in reverse, basically. >> Yeah. >> Surface area is just balloon to be huge. That just kills the perimeter argument right there. >> It does. >> Wow. And then we heard from Steve and Schmidt on the keynote. They said 90% of IOT data, thinking about cameras, is HTTP, plain text. >> Exactly. And it's like, what're you-- >> Oh, more good news! >> Yeah. (laughing) >> At least you'll always have a job. >> Well, you know, someday-- >> It's a good day in security. Encrypt everywhere, we don't have time to get into the encrypt everywhere, but quick comment on this notion of encrypting everything, what's your thoughts? Real quick. (sighing) >> All right, so. >> Good, bad, ugly? Good idea? Hard? >> Well, if we encrypt everything, then what does it really mean? What're we getting out? So, you remember when everybody was having email and you had, back in the day, you had your door mail, netscape navigator and so forth, and thought, oh, we need to have secure email. So then they created all these encryption things in the email, so then what happens? That's built into the applications, so the email's no longer really encrypted. >> Yeah. >> Right? So I think we're going to see some things like that happening as well. Encryption is great, but then it also impedes progress when it comes to forensics, so it's only good until you need it. >> Awesome. >> Dan, thanks so much here on the insights. Great to have you on The Cube, great to get your insights and commentary. >> Well, thank you guys, I really appreciate it. >> You're welcome. >> All right, let's expecting to steal is from noise, talking to practitioner CSOs here at re:Inforce. Great crowd, great attendee list. All investing in the new Cloud security paradigm, Cloud-First security's Cube's coverage. I'm John Furrier, Dave Vellante. Stay tuned for more after this short break. (upbeat music)
SUMMARY :
Brought to you by Amazon web services Great to see you. It's a very pleasure to be here. the Red Socks game the other night. but we were talking when we were socializing, Gettin' dirty with your hands and gettin' coding and then, bad, and the ugly. And it's just amazing cause, you know, of the security equation, but you're seeing the company to be and they're maybe only a couple years old, You put some exchange service out there. Yes, and so as we started bringing these other and make sure we understand this. and some things we couldn't, but now in the CASB Now, did you guys write that code? So, when you think about where the CASBs and the landscape that you see in front of you. but the biggest things that we really So, the question I have for you is: and the different components that you can put in there. I get just some crazy, stupid things that just happen. but a lot of it has to be with education and awareness. that is not necessarily friendly to the way we do business. And that's the biggest issue you've got. to be big brother, we want to make it be able to run fast And you guys have a lot of suppliers here and a lot of things. And that's the Cloud group within McAfee. come out of the analytics and, I kid you not, I always like to ask practitioners, and then they spend money and go to the next product what tech are you excited about these days? and if we had a sphere and you had the diameter Surface area is just balloon to be huge. And then we heard from Steve and Schmidt on the keynote. And it's like, what're you-- (laughing) to get into the encrypt everywhere, and you had, back in the day, you had your door mail, so it's only good until you need it. Great to have you on The Cube, All right, let's expecting to steal is from noise,
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Greg Karamitis, DraftKings | Actifio Data Driven 2019
>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> Welcome back to Boston, Everybody. Money >> belong here with my co host, a student of John >> Kerry's. Also here today You watching the Cuban leader and on the ground tech coverage. This is day one of active fio 19 data driven content Conference hashtag data driven 19 red cara minuses. Here is the senior vice president of fantasy Sports A draftkings Greg. Thanks for coming on. What a cool title. >> Yeah, it's It's, you know, I was joking with my wife. Anytime you could be working fantasy sports, it's a great place to be. Everybody's a little bit jealous. >> So the formula is easy, right? Offer big giant prizes and everybody comes And that's all there is suing. Anybody can come >> in. I just have the dream job right now. >> So hugely competitive market. You guys, you become the >> leader. We were in the radio. Check out your websites. I mean, take us through the draft kings and your ascendancy. How you got here? >> So, you know, company started in 2012 initially around sort of the major big American sports on DH. Then really a CZ. We started scale that we saw there was a huge consumer interest in the product players that would come on. We're very, very, very sticky. Um, and we've just been kind of, you know, pushing, pushing on growing that using these. So the initial founders are three former analyst. So come on. It's always been sort of a very analytically driven company. So they looked at what we were dealing with, and it was we had L TVs that were way higher than our cracks. So let's keep marketing and growing and growing and growing and finding out ways to offer a better product. So, over 2015 we did a major marketing blitz, blew up the company Absolutely huge. Um, and since then we've been just constantly innovating, adding new sports, adding new features on DH, adding ways toe on the product. And then even more recently, just about a year ago, we expanded also into online sports betting over New Jersey has that's become a legal product across the U. S. So it's been a great time to be at the company a lot of fun. >> What what was your first sport was like Amazon started in books and then, you know, scaled out what was your first sport. So it's actually the first sport was >> baseball because of the time that they actually launched. So is the middle of April. Sporting calendar is a little bit thin. Right then, so is it was baseball to start, and then once football season started, that's really when things take on >> 2015 is when you started the marketing blitz and I remember just here in the ads and it was just intense, like a while. This company's going for it. So you sort of took >> all the chips I went >> all in and it worked. Yeah, I mean, it's part of the, you know, the lifeblood of the company. It's We're a company that ends up being taking risks, but we take calculated risks. So at any given point, you sort of say, like, Hey, what is the what is the range of outcomes over here? We're not playing for second place. We want to be a market leader, so you have to take risks in order, be a market leader. So let's take calculated risks. Let's make sure we're not being insane, but you know we did the math. We figured out what? This is A This is a worthwhile shot. We pushed him for it. Andi really took off from their love to bet on >> sure things. Yeah, well, Greg, we know the people that play the fantasy for it feel that data is what differentiates whether they're going to live in, you know, winner lose. Talk to us a little bit about the data journey inside your business And how that helped differentiate draftkings in the market. Yes. So we think Death draftkings >> is one of the most analytically based companies in the, you know, definitely in the market, but also into sort of like General Cos right now we use our analytics platform to inform pretty much everything we dio on. Go to your point. You're joking. You know, it seems like fantasy sports is easy throughout some giant prizes there, and everything will take care of itself. You know, running a fantasy sports car company. If you throw out a contest that's too big, you lose a ton of money. There's a lot of asymmetric risk in the business where if we're right, we make a little bit more. But if we're wrong. We lose a ton very, very, very fast. So our ability to be very, very sound analytically is what allows us to sort of pushed the envelope and grow, grow, grow but not, you know, lose our heads along the way. You know, some of the fun of that is really, you know, when we first ran, I think one of the most game changing contest we ran was actually back in October of 2014. It was the very first millionaire maker contest I could still remember. It was Week five of the 2020 14 NFL season where we said, Hey, this it's crazy. We need crazy things that happen in order for it to work. But if we're on a $20 contest to enter with $1,000,000 top prize and 2,000,000 of total prizes, it could go viral, go absolutely crazy. And if it loses, here's how it'll losing. Here's how much will hurt us. It's a worthwhile risk. Let's go for it. So that sort of energy of, you know, doing discipline analysis and constantly sort of them. Taking the risk on the back of it is what allowed us to build >> up the brand value that you would have got out of that was sort of worth that risk in part anyway. And you wouldn't have to hurt presumably. >> Exactly. We knew our downside. As long as you know your downside, you're normally in a pretty good spot to take those risks. >> So where do you >> see this All going mean? So the company has grown. You're at this kind of critical mass now, Like we said, highly competitive, you know, knock down. You know, if you take your eye off the ball. So how do you guys keep this going? >> So we have a huge challenge ahead of us over the next couple of years, as sports betting becomes legal across the US, we need to make sure that we are one of the top competitors in that market. Sports betting in the US, we expect to be an absolutely enormous market. It will probably be significantly larger than the fantasy sports market in terms of absolute revenue and even, you know, on order of magnitude more competitive. So we need to be executing each step along the way a CZ markets open up. We need to be able to get into getting two market very, very fast. And that means our tech team needs to be working feverishly to make sure that we can hit the requirements that each legislator and each regulator puts on market entry in their state. We didn't mean making sure we're constantly figuring out what are the product elements that are absolutely critical for our for our users. Is it Maura around the live betting experiences that around the different markets that you offer? It's around pricing. And how do we find these things, these different lovers and told them to make sure that we're putting out a great product for users. And if we do that and throw a great product after users were pretty sure we can make you want >> to be one stop shopping presumably, right? I mean, all sports, right? But But then you've got these niche sports betting. I mean eggs, invest. Example. I could think of this horse racing. You know where it is alive. It's gonna video. It's got commentators on the ground that you know the business really well. Is >> that Is that the strategy to go sort of horizontal and so be a one stop shop or you >> gonna sort of pick your spots? What is the day to tell you? >> You know, I think we're constantly talking about it. One of the things that allowed our fantasy sports business to grow so fast was going a little bit more horizontal. So we offered Gulf in Mass at a time period when the primary competitors and the space vandal did not. On DH, we built that product into one of our largest sports. It's, you know, right up there with MLB in terms of the actual size that that comes in a Z have gone also horizontal, we pulled in other places, like NASCAR. Mm, a great sports that people are interested in. It gets more users into our platform. And honestly, if uses are interested in a product, we don't want them to have to go elsewhere. We want to be able to have the offerings that any sort of, you know, critical mass type environment is going toe is gonna have >> Well, it's that experience, right? Well, I like to shop in Amazon. You do, too, because I >> trusted. And it's the same user experience. So, Greg, one of things >> I'm hearing from you is something that everybody tries for, but it's really challenging that speed. How do you react that fast and move the company into new markets and new offerings and keep innovating? You know, culturally technology wise, you know, How does Draftkings do that? You know, I think a za company, you know, from really every single person that we recruit in higher We've been actually execution Aly disciplined throughout the company's history. It's It's something that our founders did a great job of instilling in the culture right at the gates. I mean, we've tried to foster all the way along the way, which is all the best strategies of the world. They're going to fail if you can't execute well and every single person down the company knows that. And we try to, you know, enable each person to be as autonomous as possible in their ability to execute their their portion of the business that allows us to move really, really, really fast. You know, we disseminate that responsibility quickly, and each leader and sort of each person knows what they have to do to execute. There's a high degree of accountability behind that, you know, I'd like to say there's some. There's some magic recipe that's, um, secret sauce, but it's a lot of just great people doing great work everyday. Well, Greg, you know it's any your competitors that they look at, You know, Boston's been been doing pretty well in Draftkings era, you know, for the last few years. ES o Boston's been a great market for us. We've expanded Conover here on DH. The sports teams have been fantastic, although the Bruins it was a little bit sad about Game seven over there, but it happens. >> So his m o be the flagship news that no, I wouldn't say >> that MLB was first, primarily just of the time of the year when we launched. NFL is always going to go, are not always going to be, but for the for the foreseeable future is the dominant US sport on will remain the dominant US for >> no reason. I mean, kids there watch MLB anymore. Maybe the maybe the playoffs and the games. It was a game. I think I'm some Father's day was like almost five hours long, you know, gets called. You can come in and out. But you know what some of the trends. You see soccer. Is that growing NFL? Obviously huge. Do you see so niche sports like lax coming on. >> So, uh, you know, starting point NFL has been huge. We actually launched a new product Ah, little over a year ago called Showdown, which allowed you start to do fantasy for a single game as opposed to the combination of games that's taken off fantastically because that's tapping into more of the I'm going to sit down and watch this game, and I would love to have a fantasy team on that on this game. That's really expanded the audience like that. That >> was genius because, look, if you're >> out of the running, it doesn't matter because I'm weak. On top of that N b A and NHL on fire. The embassy put out a great product is an actual sport league. You know, the Finals were great. You hate to see the injuries, but it was a great final. Siri's very competitive. The NHL Finals has been very, very competitive. Golf is growing phenomenally as a sport, way farm or interesting golf than I ever anticipated when I first started with the company and it's one of the most exciting things. When the Masters comes each year, every screen has turned to it and we see a huge player. Player number is kind of coming into that one. Beyond that, you know NASCAR. What's been interesting? NASCAR's been having a tough couple years, but the Truck series for us? We launched it this year and the trucks have been great. I don't know if you've watched NASCAR Trucks. They're wildly entertaining. Uh, you know, Emma, you got the big fighter. So every sport sort of has its moments. It's a matter of like picking those moments and figuring out how to make >> the most of them. Do you see boxing at all making a comeback? >> So we have thought about how to get boxing into a into a fantasy. We don't have it at the moment. We're putting a lot of thought into it, so we are actually seeing through. We've seen, you know, we've been in the M M A space and we've seen the growth out from there where that sports doing great and you look at places like Bela Tor. The Professional Fighters league is other leagues, and then boxing is the next step. There's a lot of interest there. I don't think they have the right products yet to be able to kind of engage with that extra way. So that's one of things we're working on. Also, you need a marquee fighter. You always need a marquee fighter. Kind of helped bring in the interest over on that side. So, um, be interesting to see with Taki on sort of the downside of his career. At this point on DH, Mayweather hasn't been fighting much. Will be interesting to see. Who's that next meeting with Adam. But >> I grew up in an era >> of Marquis fighters. What? They would fight, you know, they literally fight 6 70 times a year, you know, and you had used huge names on DSO, and then mm comes along and he's really hurt, >> but it feels like it's tryingto so to resuscitate. Yeah. I mean, I think these things could >> be a little bit cyclical. Like you get one Marquis fighter out there like so my wife, this Filipino. So I'm a huge backing out fan now way watch every fight. Even when we were living in remote locations that forces watching at weird hours. He's a type of athlete that could bring popularity of the sport. So if there was a major U. S. Fighter that gains that degree of sort of, you know that that degree of fame people will be into it, I think >> Do do do your analytics sort of have a probe into the activity at the at the fan level at the sports level, not just the fantasy level or the betting level? Is that a sort of ah ah predictor for you? Yet we >> see a lot of correlations between how many people play our sport are fantasy game, and how many people actually follow the underlying sport. Way can also see trends in terms of If I'm from Boston, I probably pick more patriots in my fantasy lineups than, uh, normal on DH. You can actually see that as people play different sports that you know, the number one Q. Be drafted in in Boston is almost always gonna be Tom Brady. And once you leave that you start seeing Aaron Rodgers pop up. Let's really, really fast. So you see these little micro trends where it's like you are still a sports fan of your local team in your local environment, but it manifest itself in the fantasy. >> So what you think that is? Do you think it's fan affinity >> or do you think it's just the sort of lack of knowledge out inside? You're sort of a circle of trust. >> I think it's probably a combination. I mean, I could say is, you know, following the Celtics in the mid to thousands, I knew the depth of the Celtics pension, how they would use their rotation better than anybody else, Probably better than anybody else in the coaches would probably disagree. But it's like I knew that James Posey was a huge value play on Saturday nights. I knew. I kind of with I feel the Eddie House nights. Uh, so, you know, on your local team, you probably know those players at the not the top top echelon All Stars, but the guy's right beneath. You know them a little bit better and probably more comfortable using >> what's your favorite sport. >> So my favorite sport, from a fantasy perspective, is I play all the basket. I play all football, played basketball just during play offs, and I played baseball. But baseball I'm strictly a fantasy player. I don't really follow the sport to play. I'm just playing fantasy. Okay, >> That's great. So, what do you think? The conference. Here. >> You have you Have you had any timeto interact? I know you were swamped after coming off the stage. >> You know, it looks like a great turnout over here. There's a lot of enthusiasm amongst them from people. I was a little bit late to the late to show up this morning, so I got a bit Swanson eager to go and be able to catch up a bit more. >> Okay, Well, Greg, thanks so much for coming on. The Cuba's great to have your every pleasure meeting you. >> All right, people. Right there. Still, when I >> was back with our next guest, John for it is also in the house. You wanted The Cube from active field data driven 19. Right back
SUMMARY :
Data driven you by activity. Welcome back to Boston, Everybody. Here is the senior vice president of fantasy Sports A draftkings Greg. Yeah, it's It's, you know, I was joking with my wife. So the formula is easy, right? You guys, you become the How you got here? So, you know, company started in 2012 initially around sort of the major big American sports So it's actually the first sport was So is the middle of April. So you sort of took Yeah, I mean, it's part of the, you know, the lifeblood what differentiates whether they're going to live in, you know, winner lose. You know, some of the fun of that is really, you know, And you wouldn't have to hurt presumably. As long as you know your downside, you're normally in a pretty good spot to take those risks. Like we said, highly competitive, you know, knock down. Is it Maura around the live betting experiences that around the different markets that you offer? It's got commentators on the ground that you know the business really One of the things that allowed our fantasy sports business to grow so fast was going a Well, I like to shop in Amazon. And it's the same user experience. And we try to, you know, enable each person to be as autonomous as possible in their ability to execute their the dominant US for you know, gets called. So, uh, you know, starting point NFL has been huge. Uh, you know, Do you see boxing at all making a comeback? you know, we've been in the M M A space and we've seen the growth out from there where that sports doing great and you look at They would fight, you know, they literally fight 6 70 times a year, you know, I mean, I think these things could So if there was a major U. S. Fighter that gains that degree of sort of, you know that that degree that you know, the number one Q. Be drafted in in Boston is almost always gonna be Tom Brady. or do you think it's just the sort of lack of knowledge out inside? I mean, I could say is, you know, following the Celtics in the mid to thousands, I don't really follow the sport to play. So, what do you think? You have you Have you had any timeto interact? I was a little bit late to the late to show up this morning, so I got a bit Swanson eager to go and be able The Cuba's great to have your every pleasure meeting you. Still, when I was back with our next guest, John for it is also in the house.
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theCUBE Insights | Citrix Synergy 2019
>> live from Atlanta, Georgia. It's the two you covering Citric synergy, Atlanta 2019. Brought to You by Citrix. >> Hey, welcome back to the Cube. Lisa Martin with Keith Tones in wrapping up Day two Vault Evil coverage of Citrix Energy. 2019 Keith. What a two days we have had. >> This was not a boring show. This has been really exciting. >> It has my cheeks hurt from smiling. >> You know what I've been to shows where the messaging can be repetitive. What we did almost 20 interviews over the past couple of days talking to executives, three of the their customers, all that actually more than three cups way. We talkto four customers, and all the conversations have been different and dynamic and exciting. And that's really great to say about Citrix again. Citrix is exciting. If I were a citrus customer today at, definitely invite them and get it, and I didn't make the show at my invite him in and have a conversation find out what's going on. The intelligent experience is a secretion said. They've been working on it for a few years, releasing today not a surprise, but definitely a great start. >> Absolutely. You know, they came out of the gates yesterday morning in the general session. Really, with this massive pivot for Citrix of really developing technology for the end user for four, rather the general user like those who are not power users, those who shouldn't have to become power users to do their job, whether they're in supply, chain our marketing or finance. So that pivot towards that general purpose user, which is the majority of users, was very ostensible. And it was welcome from not just all the customers we talked about, the analysts as well. Yeah, I think that's >> one of those things that you look at A a Iot. You've said something repeatedly that interesting stat We heard yesterday that applications are designed for the 1% the power user and what we heard today wass the basically commoditization of a I and M l. I've always thought that a M l A. At some point, we'll get to the point that we can push it down to the user and the user would use a female of the same with the use Microsoft excel Today, Citrix is kind of flipped it on me and and and presented way to use a i M. L in a way that I had not thought of, which is to take processes. Business process is not it processes, but business processes packaged them up. What, no matter what APS, they're being used to deliver that process package stat up into a micro, eh? And in users themselves will be able to build a Christian Riley Citrix. CTO said he's mostly aside. That was a great question. Next, mostly aside of about 2019 putting this builder, the citric builder in a hands of not T administrators. But business process. >> So and I wish we had more time on that front. I was curious. What does that do to shadow it? T empowering this business users? Just that I don't want it to get your perspectives on that. Yeah, >> So you know what? It's exciting and scary at the same time. You know, the idea of that a business user can automate a process, and what she takes data out of one system and put it into another one on surface is pretty cool. But I've been kind of keeping my eye out on this multi cloud thing. What happens from a security perspective. When a user build something and eight of us and they have sales force and they have their Oracle database online and they create a workflow, this builder will give them the capability to basically built a multi cloud. I'm quoting, calling at, ah, multi cloud business process that becomes that becomes a competitive advantage to the business and then becomes a business critical application as a result. So you know what we're I see why the excitement is there but from, you know, just a bureaucratic person that's over 20 years of experience and just can't get out of me. There's a lot t kind of just be Riri of and planned for. It's all good stuff >> it is. But you're right, you bring up. You know, I just was kind of envisioning this proliferation of pipe of these sort of custom applications that lines of business users are going to be able to build a lot of enablement there. But then, of course, in terms of this application, exponential growth within a company, what are some of the implications you talked about security. We talked about that a lot the last couple of days, so that's absolutely critical, but in terms of that AP proliferation, what are your thoughts on that? >> You know you >> think about, would you? >> Interesting term, early nineties or late nineties. And we're just in e commerce. And it was very controversial. Amazon was patterning business processes. The one klick to purchase was a big, big deal. Competitors couldn't do that in users who have a completely different perspective. Teo, too. This is a tool. You know, it doesn't matter if this is a Samsung phone. IPhone doesn't matter. This is the tool so that I can get a business thing done. The results. You know, where we've put imaginary barriers, you know, the S 400 sales force shall never touch. Well, it's business. Users will destroy those barriers. They'll see these applications, they'll see these uses. And then we were on to, you know, typical problems. You will create 1,000 of these in a single organization. How did you find them? Like you're out discovery. 1,000 When you want a new app on your iPhone finding, they have to do it a specific thing. You know, Aiken probably search for flashlight on my iPhone and get you what? apse. Which one is the one for my process and best for my process. I can see that at proliferation, been a problem in the enterprise, >> something that we'll have to keep our eyes on. Another thing I was curious to get your feedback on is our p. A. You are the one of the first ones and Twitter to call that out yesterday, saying Alright of Citrix wants >> to be >> delivering the future of work. Automation is going to be essential. And then voila! There's the intelligent experience, but something that we heard a lot yesterday as well. We hear this at every show. Is these massive workforce talent shortages that we're going to be seeing in the next few years? Some industries are already facing them. So, looking at the talent shortage and then the concern over A and R P taking over jobs, they seem to sort of do balance each other out. I'm sure it's not that simple. Yeah, >> we've talked about this awful lot in my circles. There were some people who just won't be able to make the transition to being to delivering higher value, uh, work output. My son talked about a co worker who did not know how to maximize excel. And, you know, we look at that now kind of chuckle, maybe >> a little bit, >> but that's painful. What? What happens when that when our P A auto makes their job their job? Is it definitely ah, process that there could be automated? But on the flip side, we need people to write our Ph scripts. We need people to, you know, way talked about. You know, there always be someone to operate. The robots are is a definitely area that we know not only need people talk, create the robots. We need someone to maintain them. What happens when a regulation changes? You know, Christian talks about liability if something is automated, and we forget that it's automated regulation changes and we continue to go along with the automated process and we're in violation of a standard or compliance law. Wei need someone to go in and quickly make a change. Who are these people? Were those that talent coming from and then this place workers. How do we find work for them to do this value? Add that they could make the transition to do so. It's a lot of complicated questions yet to be answered. >> Well, another thing that was really obvious the last couple of days is the bread of customer success. That's Citric, says having we were able to talk without you. Mentioned four customers from the Miami Marlins. So Major League Baseball to financial managed, a wealth manager company, Schroeder's in the UK We spoke with Indiana University based here in the States and and what they're doing to enable end users like you and me from students. Two consumers of wealth management technology to baseball fans is radically different. But at the same time, it's all about delivering this experience that's personalized. That's customized and tailored to what each individual wants to achieve. And this >> is without even giving the new product from cities We had Dana Garner Alice on earlier today, who said that Citrix really needs to to their own horn. There should be a Citrix inside. I remember early SAS products from companies like a teepee, uh, get support calls on it. I go Teo and uses death type, and they say I'm using this ADP software. This is before a stall for as the service was really a big thing and I looked at him. Oh, this's just Citrix going into another, going into, ah, data center somewhere else. Today, that is very much a sass service, and Citrix is an underlying foundation of that. So it was no surprise from a technology your perspective to see what you are doing. Or is that effort was doing, or a shoulder or even the Marlins? What was surprising was the impact they're having, you know, the providing, ah, accessibility applications to rule parts of Indiana. Ah, the 200,000 in points from a university. This is not, you know, you think of 200,000. There's a lot of clouds. Ah, Cloud company's ass Cos that would love to have 200,000 device is accessing its infrastructure. So extremely diverse set of customers that sister says, And the capability, even without the products announced today, uh, pretty exciting, >> I'm excited to hear and the next, you know, six months or so from those beta customers who've been testing out intelligent experience and seeing what other enhanced business outcomes they're achieving, also wanted to get your perspective on what you heard of the last couple of days with respect to How does it change the game for Citrix from a competitive advantage standpoint? >> Yeah, the tweeted out that Veum where is either going to acquire or quickly announced a Arpaio type solution? This is something that businesses will care about. This is not something that can be ignored. You AI path, which is a complimentary solution to Citrix, just got a $568,000,000 Roundy. Let's put this in perspective. We're hearing software companies get $60,000,000 rounds to create hardware. This is a salt for on Lee Company. A machine learning that does R. P s were robotic process automation. Investors are seeing the value in this company enough that they're going to give a software company who doesn't have buildings they don't have. Uh, this is just to invest in sales. Portia sells people in R and D $568,000,000 to make it happen. You're going to see competitors like being where citrus is a friend of mine. I'm sorry. Nutanix is a frenemy of say tricks, you know, they go to market a lot together, but they have their frame solution. Citrus is, I think, put, you know, all in and said You know what? V m word nutanix frame put up or shut up. This is this is you know, this is this is a seismic move in industry. >> So I gather that you're leaving here pleasantly surprised by some of the things that were unveiled. >> I did not expect Citrix to move so quickly into our p a roar wanted process automation. And this is not something that they thought of last minute. So you know, Christian said they've been working on this for three years. So this is something that they've given quite a bit of thought to. If the same thought hasn't happened already at frame that competitive solution for desktop as a service or if it hasn't already happened. And bm we're workspace and they're set of Ah VD I solutions than Citrix is obviously three years ahead >> and your thoughts on the announcements with respect to deepening relationships and partnerships with Microsoft with Google. >> Yeah, and some of that. It is catch up the VM where has had a solution with azure for quite some time bringing desktops as a service there. So then where has a slight lead on that? But Citrix you know what? Citrix is still a verb. The even when customers are using other solutions, they say You just like this the Kleenex I'm like I would like Citrix access. Well, it's horizon, this frame, whatever I want. I need to get my job done, and I hear that I have to get a citrus account to get it done. So I think Citrix has definitely caught up with both Nutanix when tannic says the Airframe solution and VM, where we're horizon with solutions and azure and then what went on in that? What went, I think unnoticed is that Citrix partners with Veum where to deliver the Xan desktop solution. And then where's via MacLeod on a W S O. That went unnoticed over the past couple of days. But again, more choice. If I were a customer looking at VD I desktop workspace modernization, be pretty excited about my options in the competitive landscape. >> Think they did a great job of positioning themselves as being enablers of the future of work? We talked a lot about today's workforce with five generations of active workers. We saw a great example of I guess a baby boomer with Dr Madeleine Albright on stage, it's going to get 82 years old. See here, >> Baby Boomer, which issues of the greatest generation? I think she's that fifth thatyou know that fifth oldest generation, 82 years old, And I hope >> I'm not >> a sharp is that now. And I'm a little bit more than half that age told, uh, it's not looking too good for me. >> I mean, either way, how she talked about when she was secretary of state, didn't have a computer on her desk. And now she's writing in driverless vehicles >> and presenting at tech conferences and with respect. This is not always Automat Mall. Albright. What? What can she have to offer us? It was an engaged audience, Uh, even with purse like leaning on political power policies. She gets some, and she got a standing ovation at a tech conference. So, you know, it's an amazing testament to what you can offer. No matter you're your age. >> Exactly, and Citrix is doing a great job of being able to deliver and enable their customers to help all of their workers at any age at any generation. Just get the stuff done. Keep it has been such a great time. Such a pleasure working with you for the last couple of days. Thank you for being my partner in crime. >> Turned out better than we hoped. We said we were gonna have fun. I think we have more fun than we thought we would. >> I agree. Well, thanks so much. Say, flight home. I know. I'll see if the next show sometime in some city soon. >> You know, the Cube is at four places right now. I'm pretty sure we'll be in the same location. Pretty So >> I think so. Keith and I want to thank you so much for watching the cubes to day coverage of citric synergy. 2019 from Atlanta, Georgia, We've had a blast. We hope you've had a blast watching. Thank you.
SUMMARY :
It's the two you covering Citric What a two days This was not a boring show. And that's really great to say about Citrix again. for the end user for four, rather the general user like those who are not power users, and the user would use a female of the same with the use Microsoft excel Today, What does that do to You know, the idea of that a business user We talked about that a lot the last couple of days, so that's absolutely critical, I can see that at proliferation, been a problem in the enterprise, p. A. You are the one of the first ones and Twitter to call that out yesterday, saying Alright of Citrix wants Automation is going to be essential. you know, we look at that now kind of chuckle, maybe But on the flip side, we need people to write our Ph scripts. is the bread of customer success. This is before a stall for as the service was really a big thing and I looked at him. This is this is you know, this is this is a seismic move in industry. So you know, and your thoughts on the announcements with respect to deepening relationships and partnerships I need to get my job done, and I hear that I have to get a citrus it's going to get 82 years old. And I'm a little bit more than half that age told, uh, I mean, either way, how she talked about when she was secretary of state, didn't have a computer on her desk. What can she have to offer us? Exactly, and Citrix is doing a great job of being able to deliver and enable their customers I think we have more fun than we thought we would. I'll see if the next show sometime in some You know, the Cube is at four places right now. Keith and I want to thank you so much for watching the cubes to day coverage of
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Ariel Kelman, AWS | Informatica World 2019
>> Live from Las Vegas, it's theCUBE Covering Informatica World 2019 Brought to you by Informatica. >> Welcome back everyone to theCUBE's live coverage of Informatica World 2019 here in Las Vegas. I'm your host, Rebecca Knight, along with my co-host, John Furrier. We are joined by Ariel Kelman. He is the VP, Worldwide Marketing at AWS. Thank you so much for coming on theCUBE. >> Thanks so much for having me on today. >> So let's start out just at ten thousand feet and talk a little bit about what you're seeing as the major cloud and AI trends and what your customers are telling you. >> Yeah, so I mean, clearly, machine learning and AI is really the forefront of a lot of discussions in enterprise IT and there's massive interest but it's still really early. And one of the things that we're seeing companies really focused on now is just getting all their data ready to do the machine learning training. And as opposed to also, in addition I mean, training up all their people to be able to use these new skills. But we're seeing tons of interest, it's still very early, but you know one of the reasons here at Informatica World is that getting all the data imported and ready is, you know, it's almost doubled or tripled in importance as it was when people were just trying to do analytics. Now they're doing machine learning as well. You know, we're seeing huge interest in that. >> I want to get into some of the cloud trends with your business, but first, what's the relationship with Informatica, and you know we see them certainly at re:Invent. Why are you here? Was there an announcement? What's the big story? >> I mean, we've been working together for a long time and it's very complementary products and number varies. I think the relationship really started deepening when we released Redshift in 2013, and having so many customers that wanted to get data into the cloud to do data we're housing, we're already using Informatica in, to help get the data loaded and cleansed and so really they're one of the great partners that's fueling moving data into the cloud and helping our customers be more successful with Redshift. >> Yeah, one of the things I really admire about you guys is that you're very customer centric. We've been following Amazon as you know since their, actually second reinvent, Cube's been there every time, and just watching the growth, you know, Cloud certainly has been a power source for innovation, SAS companies that are born in the cloud have exponentially scaled faster than most enterprises because they use data. And so data's been a heart of all the successful SAS businesses, that's why start ups gravitated to the Cloud right away. But now that you guys got enterprise adoption, you guys have been customer centric and as you listen to customers, what are you guys hearing from that? Because the data on premises, you've got more compliance, you've got more regulation, you've got-- news today-- more privacy and now you've got regions, countries with different laws. So the complexity around even just regulatory, nevermind tech complexity, how are you guys helping customers when they say, you know what, I want to get to the cloud, love Amazon, love the cloud, but I've got my, I've got to clean up my on param house. >> Yeah, I would say like a lot, if you look at a lot of the professional services work that we do, a lot of it is around getting the company prepared and organized with all their data before they move to the cloud: segmenting it, understanding the different security regulatory requirements, coming up with a plan of what they need, what data they're going to maybe abstract up, before they load it, and there's a lot of work there. And, you know, we've been focused on trying to help customers.. >> And is there a part in you're helping migrate to the cloud, is that.. >> Yeah, there's technology pieces, companies like Informatica helping to extract and transform and load the data and on data governance policies. But then also, for a lot of our systems integrator partners, Cognizant, Accenture, Deloitte-- they're very involved in these projects. There's a lot of work that goes on; a lot of people don't talk about just before you can even start doing the machine learning, and a lot of that's getting your data ready. >> So how, what are some of the best practices that have emerged in working with companies that, as you said, there's a lot of pre-work that needs to be done and they need to be very thoughtful about about sort of getting their data sorted. >> Well I think the number one thing that I see and I recommend is to actually first take a step back from the data and to focus on what are the business requirements of, what questions are you trying to answer, let's say with machine learning, or with data science advanced analytics, and then back out the data from that. What we see a lot of, you know companies sometimes will have it be a data science driven project. Okay, here's all the data that we have, let's put it in one place, when you may not be spending time proportionate to the value of the data. And so that's one of the key things that we see, and to come up-- just come up with a strong plan around what answers you're, what business questions you're trying to answer. >> On the growth of Amazon, you guys certainly have had great record numbers, growth, even in the double digit kind of growth you're seeing on top of your baseline has been phenomenal. Clearly number one on the cloud. Enterprise has been a big focus. I noticed that on the NHL, your logo's on the ice during the playoffs; you've got the Statcast. You guys are creating a lot of aware-- I see a lot of billboards everywhere, a lot of TV ads. Is that part of the strategy is to get you guys more brand awareness? What's the.. >> We're trying, you know, it's part of our overall brand awareness strategy. What we're trying to do is to help, we're trying to communicate to the world how our customers are being successful using our technology, specifically machine learning and AI. It's one of these things where so many companies want to do it but they say, well, what am I supposed to use it for? And so, you know, one of, if you dumb down what marketing is at AWS, it's inspiring people about what they can run in the cloud with AWS, what use cases they should consider us for, and then we spend a lot of energy giving them the technical education and enablement so they can be successful using our products. At the end of the day, we make money when our customers are successful using our products. >> One of the hot products was SageMaker, we see in that group, AI's gone mainstream. That's a great tail wind for you guys because it kind of encapsulates or kind of doesn't have to get all nerdy about cloud, you know, infrastructure and SAS. AI kind of speaks to many people. It's one of the hottest curriculums and topics in the world. >> Yeah, and with SageMaker, we're trying to address a problem that we see in most of our customers where the everyday developer is not, does not have expertise in machine learning. They want to learn it, so we think that anything we can do to make it easier for every developer to ramp up on machine learning the better. So that's why we came up with SageMaker as a platform to really make all three stages of machine learning easier: getting your data prepared for training, training in optimized models, and then running inference to make the predictions and incorporate that into people's applications. >> One of the themes that's really emerging in this conversation is the need to make sure developers are ready and that your people are skilled up and know what they need to know. How are, how is AWS thinking about the skills gap, and what are you doing to remedy it? >> Yeah, a couple things. I mean, we're really, like a lot of things we do, we'll say what are all the ways we can attack the problem and let's try and help. So, we have free training that we've been creating online. We've been partnering with large online training firms like Udacity and Coursera. We have an ML solutions lab that help companies prototype, we have a pretty significant professional services team, and then we're working with all of out systems integrators partners to build up their machine learning practices. It's a new area for a lot of them and we've been pushing them to add more people so they can help their customers. >> Talk about the conferences, you have re:Invent, the CORE conference, we've been theCUBE there. We've just also covered London, Amazon's Web Services summit, and 22,000 registered, 14,000 showed up. Got huge global reach now. How do you keep up with this? I mean it's a... >> Well we're trying to help our customers keep up with all the technology. I mean, really, we have about, maybe 25 or so of these summits around the world-- usually around two days, several thousand people, free conferences. And what we're trying to do is >> They're free? >> The summits are free and it's like, we introduce so much new technology, new services, deeper functionality within our exiting services, and our customers are very hungry to learn the latest best practices and how they can use these, and so we're trying to be in all the major areas to come in and provide deep educational content to help our customers be more successful. >> And re:Invent's coming around the corner. Any themes there early on, numbers wise? Last year you had, again, record numbers. I mean at some point, is Vegas too small >> Yeah, we had over 50,000 people. We're going to have even more, and we've been expanding to more and more locations around Las Vegas and you know we're going to keep growing. There's a lot of demand. I mean, we want to be able to provide the re:Invent experience for as many people as want to attend. >> What's the biggest skill set, you know the folks graduating this month, my daughter's graduating from Cal Berkeley, and a lot of others are graduating >> Congratulations >> high school. Everyone wants to either jump into some sort of data related field, doesn't have to be computer science, those numbers are up. What's your view of skill sets that are needed right now that weren't in curriculum, or what pieces of curriculum should people be learning to be successful if machine learning continues to grow from helping videos surface to collecting customer data. Machine learning's going to be feeding the AI applications and SAS businesses. >> Yeah, I mean look, you just forget about machine learning, you go to a higher level. There's not enough good developers. I mean, we're in a world now where any enterprise that is going to be successful is going to have their own software developers. They're going to be writing their own software. That's not how the world was 15 years ago. But if you're a large corporation and you're outsourcing your technology, you're going to get disrupted by someone else who does believe in custom software and developers. So the demand for really good software engineers, I mean we deal with all the time, we're hiring. It is always going to outstrip supply. And so, for young people, I would encourage them to start coding and to not be over reliant on the university curriculums, which don't always keep pace with, you know, with the latest trends. >> And you guys got a ton of material online too, you can always go to your site. Okay, on the next question around, as someone figures out, okay, enterprise versus pure SAS, you guys have proven with the Cloud that start ups can grow very fast and then the list goes on: AirBnB, Pinterest, Zoom Communications, disrupting existing big, mature markets by having access to the data. So how do you talk about customers when you say, hey, you know, I want to be like a SAS company, like a consumer company, leverage data, but I've got a lot of stuff on premise. So how do I not make that data constrained? How do you guys feel about that conversation because that seems to be the top conversation here, is you know, it's not to say be consumer, it's consumer-like. Leveraging data, cause if data's not into AI, there's no, AI doesn't work, right? So >> Right >> It can't be constrained by anything. >> Well, you know, you talk to all these companies and at first they don't even know what they don't know in terms of what is that data? And where is it? And what are the pieces that are important? And so, you know, we encourage people to do a good amount of strategy work before they even start to move bits up to the cloud. And of course, then we have a lot of ways we can help them, from our Snowball machines that they can plug in, all the way to our Snowmobile, which is the semi truck that you can drive up to your data center and offload very large amounts of data and drive it over to our data centers. >> One of the things that is trending-- we had Ali from Data Bricks talk about, he absolutely believes a lot of the same philosophies you guys do-- data in the cloud. And one of his arguments was is that there's a lot of data sets in these marketplaces now where you can really leverage other people's data, and we see that on cybersecurity where people are starting to share data, and Cloud is a better model for that than trying to ship drives around, and there's a time for Snowball, I get that, and Snowmobile, the big trucks for large ingestion into the cloud, but the enterprise, this is a new phenomenon. No one really shared a lot in the old days. This is a new dynamic. Talk about that, is it-- >> I mean, sharing, selling, monetizing data. If there's something that is important, there will be a market for it. And I think we're seeing that just the hunger, everything from enterprises to startups, that want more data, whether it's for machine learning to train their models, or it's just to run analytics and compare against their data sets. So I think the commercial opportunity is pretty large. >> I think you're right on that. I think that's a great insight. I mean, no one ever thought about data as a service from our data set standpoint, 'cause data sets feed machine learning. All right, so let's do, give the plug on what's going on with AWS. What's new, what's on your plate, what's notable. I mean I love the NHL, I couldn't resist that plug for you being a hockey fan. But what's new in your world? >> Um, you know, we're, we're in early planning stages on our re:Invent conference, our engineers are hard at work on a lot of new technology that we're going to have ready between now and our re:Invent show. You know, also we're, my team's been doing a lot of work with the sports organizations. We've had some interesting machine learning work with major league baseball. They rolled out this year a new machine learning model to do stolen base predictions. So, you can see on some of the broadcasts, as a runner goes past first base, we'll have a ticker that will show what the probability is that they'll be successful stealing second base if they choose to run. Trying to make a little more entertaining all those scenes we've seen in the past of the pitcher throwing the ball back to first, trying to use AI machine leaning to give a little bit more insight into what's going on. >> And that's the Statcast. Part of that's the Statcast >> That's Statcast, yeah >> And you got anything new coming around that besides that new.. >> Yeah, I think that yeah, major league baseball is hard at work on some new models that I think will be announced fairly soon. >> All right, to wrap up Informatica real quick, an announcement here, news coming I hear. How are you guys working with Informatica in the field? Is there any, can you share more about relationship >> Yeah I mean I think we're going to have an announcement a little bit later today, I mean it's around the subject we've been talking about: making it easier for customers to, you know, be successful moving their data to the Cloud so that they can start to benefit from the agility, the speed and the cost savings of data analytics and machine learning in the Cloud. >> And so when you're working with customers, I mean, because this is the thing about Amazon. It is a famously innovative, cutting edge company, and when you talk about the hunger that you describe, that these customers, isn't it just that they want to be around Amazon and kind of rub shoulders with this really creative, thinking four steps ahead kind of company. I mean how do you let your innovation rub off on these customers? >> I mean there's a couple ways We do, one of the things we've done recently is these innovation workshops. We have this thing we talk about a lot this working backwards process where we force the engineers to write a press release before we'll green light the product because we feel like if you can't clearly articulate the customer benefit, then we probably shouldn't start investing, right? And so we, that's one of the processes that we use to help us innovate better, more effectively and so we've been walk-- we walk customers through this. We have them come, you know there's an international company that I was, part of one of the efforts we did in Palo Alto last year where we had a bunch of their leadership team out for two days of workshops where we worked a bunch of ideas through, through our process. And so we do some of that but the other area is we try and capture area where we think that we've innovated in some interesting way into a service that then customers can use. Like Amazon Connect I think is a good example of it. This is our contact center call routing technology and you know, one of the things Amazon's consumer business is known for is having great customer support, customer service, and they spent a lot of time and energy making sure that calls get routed intelligently to the right people, that you don't sit on hold forever, and so we figure we're probably not the only company that could benefit from that. Kind of like with AWS, when we figure out how to run infrastructure securely and high performance and availability, and so we turn that into a service and it's become a very successful service for us. A lot of companies have similar contact center problems. >> As a customer, I can attest to being on hold a lot. Ariel, thank you so much for coming on theCUBE. It's been great talking to you. >> I appreciate it. Thank you. >> Thanks for coming out, appreciate it. >> I'm Rebecca Knight, for John Furrier. You are watching theCUBE. Stay tuned. (upbeat music)
SUMMARY :
Brought to you by Informatica. He is the VP, Worldwide and AI trends and what your customers are telling you. the data imported and ready is, you know, it's almost Informatica, and you know we see them certainly to get data into the cloud to do data we're housing, we're Yeah, one of the things I really admire about you guys their data before they move to the cloud: segmenting it, the cloud, is that.. of people don't talk about just before you can even start a lot of pre-work that needs to be done and they need to be the data that we have, let's put it in one place, when you of the strategy is to get you guys more brand awareness? And so, you know, one of, if you dumb down what marketing is doesn't have to get all nerdy about cloud, you know, optimized models, and then running inference to make conversation is the need to make sure developers are all of out systems integrators partners to build up their Talk about the conferences, you have re:Invent, the CORE summits around the world-- usually around two days, the major areas to come in and provide deep educational And re:Invent's coming around the corner. and you know we're going to keep growing. going to be feeding the AI applications and SAS businesses. any enterprise that is going to be successful is going to have that conversation because that seems to be the top It can't be constrained And so, you know, we the same philosophies you guys do-- data in the cloud. that just the hunger, everything from enterprises to I mean I love the NHL, I couldn't of the pitcher throwing the ball back to first, trying Part of that's the Statcast And you got anything new coming around that that I think will be announced fairly soon. How are you guys I mean it's around the subject we've been talking about: I mean how do you let your innovation rub off on the product because we feel like if you can't clearly It's been great talking to you. I appreciate it. You are watching
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Adam Jones, Miami Marlins | Citrix Synergy 2019
>> Male Voiceover: Live from Atlanta, Georgia, it's theCUBE, covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Hi, welcome back to theCUBE. Lisa Martin with Keith Townsend and we're coming to you live from the show floor of Citrix Synergy 2019 in Atlanta, Georgia. And we're welcoming to theCUBE for the first time Adam Jones, the chief revenue officer of the Miami Marlins. Adam, it's great to have you on theCUBE. >> Pleasure to join you both today. >> So, baseball fans, White Sox, San Francisco Giants, Miami Marlins. Always cool to talk sports and technology when we can bring those two things together. I think the San Francisco Giants and the Miami Marlins might have something in common right now, but regardless of the standings, everybody wants to go to a game. You have to deliver, as chief revenue officer, a great a fan experience. You got to make sure all the vendors are there to deliver what those fans want, regardless of the standings. People still want to go to the games. Talk to us a little bit about your role as the CRO of the Miami Marlins, how long you've been doing it, and then we'll get into what you're doing with Citrix. >> Sure. So, joined the Marlins 18 months ago as part of new ownership and the new leadership team brought in to reset the standard for what the Miami Marlins organization could be. We want to be a world class sport entertainment enterprise. That means we're going to evolve beyond a traditional baseball team and ballpark. 26 years into the history of the franchise, eight years into the operating rights of a ballpark, and there's a lot of work to be done around those two assets but as we take the organization forward, we want to continue to broaden that enterprise to focus on more sport and entertainment offerings. >> So, chief revenue officer. We don't get many chief revenue officers at a technology conference. Help make the connection. You're a busy person. What made you take time out of your schedule to come to Citrix Synergy? >> Well, I think it's indicative of the culture we're building within our organization that we're putting data at the very center of our culture. We're going to make informed and timely decisions and we need our technology to enable that culture. And so, when it came to where we were going to align our IT group and it's a group that has built out a very robust, on-prem infrastructure over the past seven years following the opening of Marlins Park, the alignment under strategy, which was my initial title coming in, and now chief revenue officer as I took on more responsibility for the business side of the organization, was a strategic decision to make sure that the infrastructure was meeting the requirements of the organization as we rapidly evolve what our priorities are and what we need in order to deliver on their very aggressive and lofty expectations for their organization. >> So this morning during the keynote, we heard a lot about the digital workplace, the employee experience being really critical for any type of organization's digital transformation, and I just thought it was a really interesting viewpoint because we go to a lot of tech shows here at theCUBE, all over the world, and we don't often talk about employee experience or even culture, as a leading edge indicator of how successful a digital transformation is going to be, but employee experience is really critical to any business because whether those employees are interacting with seven to 10 apps a day based on their job, or they're interacting with your other users, in your case, Marlins fans, making sure those employees are productive, have what they need, in a personalized way, is critical. Talk to us about what the employee experience means for the Marlins, and also, as an indicator on the revenue side. >> Absolutely, so we have an evolving workforce. It's very young across a very diverse enterprise of activities. What we've been able to do in partnership with Citrix since day one of the ballpark, where we went from an organization of roughly 100-150 employees around the team to 300 plus across the team and the ballpark, is build out an infrastructure that was very light in terms of hardware, focused very much on the digital workspace keeps us very nimble, allows us to deploy capital in areas that we see tremendous value back in terms of application and utility. So, as we continue to make our workforce more mobile, I ask them to deliver and work at a higher rate of speed. We need to arm them with the tools that allow them to perform those roles in the office, out of the office, engage beyond more just than a 81 day transactional relationship across Marlins baseball, but how across 12 months out of the year, creating that 365 day touchpoint. They still have tools and access in order to create those memories, those engagements that we want with the market. >> So, talking about customer experience, Marlin baseball is more than just the 300 employees. It is your partners, it's all of your contractors. When I go to a ballpark, I don't see Mark the hot dog vendor I see Mark, the guy that works for the Marlins. My user experience, my customer experience needs to be excellent across that. As CRO, that's part of your responsibility, assuring that the whole Marlin family is presented as one unity. Talk to us about from not just a user experience perspective but also, security expectations of how you need to make that real for your customers. >> Sure, on the experience side, what we are doing is resetting the standard, not only for Marlins and for South Florida, but the industry as a whole. We've brought on a lot of great talent to the organization from across the industry that knows what's worked, what hasn't across our peers. We're applying that. We're challenging conventional practice trying to get out in front of the curve as to what is going to be the future of a game day experience, what is a sport entertainment enterprise more holistically. And so, as a result, we have to arm our employees with those tools that will allow them to engage consistently across all the touchpoints with our fans, with our partners. Try not to centralize data to the point where only a select few have and feel informed and empowered to make decisions and take action, but disseminate that information and empower everyone to deliver consistently across all of those touchpoints. On the security side, being a public interest entity, we're vulnerable. We're a target. There's plenty of precedent around the type of activity that these types of organizations can be prone to try to address, and so, security is a number one priority of ours to make sure that the IP we're creating maintains and stays ours, as well as the information we are collecting around our customers, around our players, stays within that secure environment as well. >> So if I think about going to a baseball game, which I love, there are so many sellable moments there. Whether I'm in the stands and I want to go buy food and beverage, or I want a new hat, or some sort of merchandise for my nephew or something. You have, as CRO, you've got all these different sellable moments, not just in the ballpark, in the physical experience, but even online. So having this kind of cohesive opportunity to sell not just tickets, but food and beverage, merchandise, in person, on mobile, on a tablet, on a desktop, it's got to be a critical part of your strategy Talk about the alignment with yourself and you said a lot of your IT guys have FOMO cause you're here, but I imagine that those experiences are essential that you have the right foundation and technological foundation to deliver sellable moments that deliver. >> That's right. So the ecosystem of a sport is a fairly diverse one from the ticketing transaction to all of the ballpark touchpoints. What we're trying to create is that 12 month relationship with a fan, so that goes into creating a lot of content and how we distribute that content, in order to continue to earn that engagement well beyond 81 plus dates of baseball. And the technology behind there, in terms of our storage and our accessibility, is what allows us to begin to personalize and tailor not only those core, traditional transactions and touchpoints of sport, but how we've begun to transition into more of that broader entertainment enterprise in making sure that we can deliver those as personalized and tailored as we can. >> So there was another Chicago team that showed the age of baseball. It was over 100 years before they won a-- >> Another Chicago team-- >> Yeah, another Chicago team that won a championship. So baseball has a lot of tradition. You're in a unique opportunity that you're coming into a new ownership, but still, baseball has traditions that are hard to compete against. So let's talk about what are some of the cultural changes and opportunities that you see that baseball needs to engage in where technology can help. >> Why I think an interesting thought around baseball and where it's been scrutinized as whether we pace a play or number of games, of not keeping up with the times, not being as snackable, short-form consumption as other sporting content. As everything tracks that way, baseball starts to differentiate itself in terms of the ability to create a very distinct and differentiated experience to a millennial, to a family, to an older consumer who has grown up with the traditions of baseball. And so while baseball needs to continue to innovate and modernize, there's actually this interesting equilibrium as to how much it continues to challenge those traditions that differentiate it from many of other points of contact and where it should continue to preserve those elements to hold what has been generational-type engagement. >> You know a great example of that is mlb.com and being able to watch a game anywhere. Baseball does an amazing job of embracing digital transformation, at least in baseball. One of the things that we talked about, or that David talked about onstage today, is the seven trillion dollar opportunity. That's big, even in baseball numbers. There's no bigger sporting numbers than baseball, but seven trillion dollars is opportunity. What are you excited about coming out of this show when you look at some of the potential game efficiencies from some of the automation announcements that were made today? >> For our organization, while there has been significant investment in infrastructure, great collaboration with Citrix up until this point. The exciting transformation for us is our migration into more of a hybrid cloud environment, which is going to allow us to onboard a number of new applications, tools, for our sales team, our service team, our game presentation groups, to continue to innovate and challenge how they've gone to market in the past. And having Citrix as a partner that has that environment for us to step into, one, gives us a ton of assurance in taking that next step and having someone that continues to bring us new tools within that environment, as well. So our ability to collaborate across the organization, I'd say we've only just skimmed the surface as to the true capability and power of a lot of the tools we've had in place, and very excited about unlocking the true power and potential of that environment moving forward. >> So this is your second season with the Marlins. You spent 15 years at PWC and before we went live, I thought, wow, that must have been a pretty big change going from PWC to major league baseball. But you actually have quite a history in sports. Tell us a little about that and maybe some of the similarities between major league baseball as an industry to other industries that kind of surprised you. >> Sure. Organizations couldn't be different, more different, in terms of profile and in set-up. What I did day-to-day, advising across sport and entertainment leading the sports practice at PWC positioned me for this incredible opportunity or challenge that is the Miami Marlins and what we're building in this aggressive vision that we've set as to how we're going to reset the standard and become world class as an enterprise. PWC and the history with the firm and professional services gave me a unique perspective as to how to take on many of the challenges that we have. Had the opportunity working across sport to really understand what works, what doesn't, so that we can avoid some of those missteps that others who have taken on this roadmap ahead of us have encountered. The breadth of infrastructure that a firm of PWC's size, also gives me a little more of a lens as to what the power and scale of a large organization can deliver in more of a small, mid-size business form, and not accept size or employee base as a constraint as to the types of tools and sophistication of our technology that we can deploy within a sports organization. >> Well, Adam, thank you so much for joining Keith and me on theCUBE this afternoon, talking about how you are helping to make big positive impacts for the Miami Marlins. We appreciate your time. >> I enjoyed it. Thank you. >> Go MLB. All right, for Keith Townsend, I'm Lisa Martin. You're watching theCUBE, live from our first day of coverage of Citrix Synergy 2019. Thanks for watching. (upbeat music)
SUMMARY :
Brought to you by Citrix. Adam, it's great to have you on theCUBE. Talk to us a little bit about your role in to reset the standard to come to Citrix Synergy? of the organization as we rapidly evolve Talk to us about what the employee experience means in order to create those memories, assuring that the whole Marlin family is presented in front of the curve as to what is going on a desktop, it's got to be a critical part of your strategy in order to continue to earn that engagement well that showed the that baseball needs to engage in where technology can help. in terms of the ability to create a very distinct One of the things that we talked about, and having someone that continues to bring us new tools and maybe some of the similarities of a lens as to what the power and scale to make big positive impacts for the Miami Marlins. I enjoyed it. of Citrix Synergy 2019.
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StrongyByScience Podcast | Bill Schmarzo Part Two
so two points max first off ideas aren't worth a damn ever he's got ideas all right I could give a holy hoot about about ideas I mean I I I got people throw ideas at me all the friggin time you know I don't give a shit I just truly told give a shit right I want actions show me how I'm gonna turn something into an action how am I gonna make something better right and I I want to know ahead of time what that something is am I trying to improve customer attention trying to improve recovery time for an athlete who's got back-to-back games right III I know what I'm trying to do and I want to focus on that where ideas become great and you said it really well max is ideas are something I want to test so but I know what I want to test these of the event what outcome I'm trying to drive so it isn't just it is an ideation for the I eat for the sake of ideation its ideation around the idea that I need to drive an outcome I need to have athletes that are better prepare for the next game who can recover faster who are stronger and can you know it can play through a longer point of the season here we are in March Madness and we know that by the way that the teams that tend to rise to the top are the teams that have gone through a more rigorous schedule played tougher teams right they're better prepared for this and it's really hard for a mid-major team to get better prepared because they're playing a bunch of lollipop teams in their own conference so it's it's ideas really don't excite me ideation does around an environment that allows me to test ideas quickly fail fast in order to find those you know variables or metrics those data sources it just might be better predictors of performance yeah I like the idea of acting quickly failing quickly and learning quickly right you have this loop and what happens is and then I think every strand coach in the world is probably guilty of this is we get an idea and we just apply it you go home you know I think eccentric trainings this great idea and we're going to do an eccentric training block and I just apply it to my athletes and you don't know what the hell happened because you don't have any contextual metrics that you base your test on to actually learn from so you at the day go I think it worked you know they jump high but you're not comparing that to anything right they jump they've been the weight room for three months my god I hope they jump higher I hope they're stronger like I can sit in the weight room probably get stronger for three months and my thought is but let's have context and it's um I call them anchor data points they were always reflecting back on so for example if I have a key performance metric where I want to jump high I'll always track jumping high but then I can apply different interventions eccentric training power training strength training and I can see the stress response of these KPIs so now I've set an environment that we have our charter still there my charter being I'm going to improve my athletic development and that's my goal I'm basing that charter on the KPI of jumping high so key performance indicator of jumping high now I can apply different blocks and interventions with that anchor point over and over again and the example I give is I don't come home and ask my girlfriend how she's doing once every month I ask her every day and that's my anchor point right and I might try different things I might try cookie and I might try making dinner I might do the dishes I might stop forgetting our dates I might actually buy groceries for once well maybe she gets happier then I'll continue to buy groceries maybe I'll remember it's her birthday March 30th I remember that that's my put it on there right and so but the idea is we have in life the way life works we have these modular points where we call anchor points where we were self-reflect and we reflect off of others and we understand our progress in our own life environment based on these anchor points and we progress and we apply different interventions I want this job maybe I'll try having this idea outside of here maybe I'll play in a softball league and we're always reflecting it's not making me happier is that making me feel fulfilled and I don't understand why we don't take what we do every day and like subconsciously and apply it into the sports science world but lava is because it happens unconsciously because that's how our body has learned to evolve we have anchor points I want to survive I want to have kids lots of kids strong kids and I and I die so my kids can have my food and that's what we want as a body right your bison care about anything else and so that's why you walk with a limp after you get hurt you don't want perfect again it's a waste of energy to walk perfect right you can still have kids with a limp I hate to break it to you right we're not running from animals anymore and so we have all these anchor points in life let's apply that same model now and like you said it's like design thinking and actually having that architecture to outline it whether it's in that hypothesis canvas to force us to now consciously do it because we're not just interacting with ourselves now we're interacting with other systems other nodes of information to now have to work together in use in to achieve our company's charter interesting max there's a lot of a lot of key points in there the one that strikes me is measurement John Smail at Procter & Gamble I was there you still I say you are what you measure and you measure what you reward that was his way of saying as an organization that the compensation systems are critical and the story just walked through about what Kelsey right and what you guys are doing and how you increase your your happiness level right now here's the damnest your work I mean that is that is how you're rewarded right if you are rewarded by happiness and so you you learn to measure if you're smart right that you don't miss birthdays that you do dishes you you you help up around the house you do things and when you do those things the happiness meter goes up and when you don't do those things happiness meter goes down and you know because you're you're you're probably pulling not just once a day but as you walk by her throughout the day are on a weekend you're you're constantly knowing right if if you're liking your mom you know when mom's not happy you don't need to be a day to sign this and know mom's not happy and so then you you know you re engineer about okay what did I do wrong that causes unhappiness right and so life is a lot of there's a lot of life lessons that we can learn that we can apply to either our business our operations or sports whatever it might be that your your profession is in about the importance of capturing the right metrics and understanding how those metrics really drive you towards a desired outcome and the rewards you're gonna receive from those outcomes yeah and with those it's the right metrics right that's what not metrics the right metrics if I want to know if someone was happy I wouldn't go look at the weather I wouldn't you know check gas prices especially if I'm curious they're happy with me well maybe they might reflect if they're happy in general if they're happy with me right now I'm contextualizing I'm actually trying to look at I know a little bit more about what I should look at I don't know everything and so you might have metrics that you say you know I know science says this metric is good this metric is good maybe we want to explore of these couple of metrics over here because we think that either aid they're related to one of these metrics or they related to the main outcome itself and that gives you a way to then I have these key and core metrics that's not stacking the deck but it's no one you're gonna get insights out of it and then I have these exploratory metrics over here but you're gonna allow me then to dive and explore elsewhere and if you're a company those can be trade secrets they can be proprietary information if you're a trainer it can be ways to learn how different athletes adapt to make yourself better and again we're talking about a company and we're talking about trainer there's no difference when it comes to trade secrets right trainers keep their trade secrets and companies keep their trade secrets and as we talk about this it's really easy to see how these two environments where they're talking about company athletic development sports science personal training health and wellness are really universally governed by the same concepts because life itself is typically governed by these concepts and when we're playing those kind of home iterations to it you can really begin to quickly learn what's going on and whether or not those metrics that you we're good ARCA and whether or not you can learn new metrics and from that max you raise an interesting question or made a point here that's I might be very different in the sports world than it is in the business world and that is the ability to test and what I mean by that is you know the business world is full of concepts like a bee testing and see both custody and simulations and things like that when you're dealing with athletes individually I would imagine it's really hard to test athlete a with one technique and athlete B with another technique when both these athletes are trying to maximize their performance capabilities in order to maximize you know the money there can they can they can generate how do you deal with that so yes no one wants to get the shitty program yes that's correct yeah for the most part people don't and this I'll take people don't test like that and but here's my solution to us I think being a critic without solutions called being an asshole my solution to that is making it very agile and so we're not going to be able to you know test group a versus group B but what you can do if you're a coach and you have faith in because there are a lot of programs coaches use coaches probably use you know every offseason they might try a new program so there's no real difference in all honesty to try a new program on you know these seven athletes versus and then try a different one that you also trust on these seven athletes and part of that comes from the fact that we have science and evidence to show that both these programs are really good right but there's no one's actually broken down the minutiae of it and so yes you probably could do a and B testing because you have faith in both programs so it's not like either athletes getting the wrong program they're both getting programs that are going to probably elicit an outcome of performing better but who wants to perform the best the second asks the second aspect would be what kind of longitudinal data that you can collect very easily to understand typical progression of athletes for example if you coach and you coach for eight years you'll have you know eight different freshman classes theoretically and you'll begin to understand how a freshman typically progresses to a sophomore in what their key performance indicators typically trend ass and so you can now say okay last year we did this this year we do this I'm gonna see if my freshman class responds differently is this going to give us the perfect answer absolutely not no but without data you're just another person with an opinion that's not my quote I stole that quote but it's true because if we don't try and audit ourselves and try to understand the process of how is someone developing then we're just strictly relying on confirmation bias I mean my program was great you know Pat some guys in the back that jumped higher and we did awesome if we're truly into understanding what's best then we'll actually try and you know measure some of these progress some of this some of these KPIs over time in the example I give and it's unfortunate and fortunate I don't mean anything bad by this either we're on a salary right and so what happens when you're on a salary is no matter really what happens assuming you're doing your job you're gonna keep your job but if you look at a start-up a startup has one option and that's to make money or go out of business right they don't really have the luxury of oh we're just gonna you know hang out and not saying coaches hang up or not we're just gonna you know keep this path we're going on as a coach you know how do I apply a similar model well I start up the bank my startup is you can go from worth zero dollars to worth a hundred you know million two billion dollars in one year at the coach we don't have that same environment because we're not producing something tangible which doesn't always it doesn't have the same capitalistic Drive right the invisible hand pushing us the same way the free market does with you know devices and so we don't always follow the same path that these startups have done yet that same path and same model might provide better insights so max you've hit something I found very interesting confirmation bias if if you don't take the time before you execute a test understand the variables that you're gonna test what happens is if you after the test is over you go back and try to triage what the drivers were that impact and confirmation bias and revisionist history and all these other things that make humans really poor decision-makers get in the way and so but before as a coach I would imagine before as a coach what you'd want to do is is set up ahead of time we're gonna test the following things to see if they have impact by thoroughly like the hypothesis development canvas right they'll really understand against what you're really going to test and then when you've done that test you you will you would have much more confidence in the results of that test versus trying to say wow Jimmy Jimmy jumped two inches higher this year thank God what did he do let's figure out and revision it wasn't what he ate was it where he slept oh he played a lot of video games that must be it he is the video games made him jump higher right so it's I think a lot of sports in particular even more than the business for a lot of sports is based on on heuristics and gut feel it's run by a priesthood of former athletes who are were great because of their own skills and capabilities and it maybe had very little do with her development and I don't want to pick on Michael Jordan but no Michael Jordan was notoriously a poor coach and a poor judge of talent he made some of the most industries when the worst draft choices industry has ever seen and that's because he mistakenly thought that everybody was like him that he revision history about well what made me great were the following thing so I'm gonna look for people like that instead of reversing the course and saying okay let's figure out ahead of time what makes what will make you a better plant player and then trying these tests across a number of different players to figure out okay which of these things actually had impact so sports I think has gotten much better Moneyball sort of opened that people's eyes to it now we're seeing now more and more team who are realizing that that data science is as a discipline it's not something you apply after the fact but in order to really uncover what's the real drivers of performance you have to sit down before you do the test to really understand what it is you're testing because then you can learn from the tests and and let's be honest right learning is a process of exploring and failing and if you don't try and fail enough times if you don't have enough might moments you'll never have any break to a moment and I think what people don't understand is they hear the word fail and assumed oh we did a six-month program and failed nope failure can occur in one day and that's okay right you can use for example I'm going to use this piece of technology as motivation for biofeedback to increase my athletes and tint and the amount of effort they put into the weight room that's right hypothesis you can test that in one day you print out that piece of technology the athletes don't respond well you'd have learned something now okay that technology didn't bring about the motivation I thought why was that you can do reflect and that revision because you had the infrastructure beforehand on maybe notes that you may have taken and scribbled down on your pad or observations from the coaches I am I but you know what the athletes weren't very invested because the technology took too long to set up right it wasn't the technology's fault it was the process of given technology available to act and utilize on so maybe you retest again with it set up beforehand or a piece of technology that's much easier to use and the intent increases so now you say okay it's not the technology's fault it's the application of how we're using the technology at the same time we hear a lot of things like I'm gonna take a little bit of pivot not too far though is in the baseball world you see technology being more used more and more as a tool and it's helping guide immediate actions on the field whether it's not it's a you know spin rates its arm velocities with accelerometers or some sort of measurement they decide to use but that's not necessarily collecting data that's using technology as a performance tool and I think there's a distinction between the two the two are not mutually exclusive you can still use it as a performance tool but that performance data if the infrastructure is not there to store a file and reflect and analyze it's only being used one-sided and so people think oh we're doing sports science we're doing data science because we're collecting data well that's not I can go count ants that's collecting data but that's not you know I don't unless I count ants every day and say oh my game populations decreasing right and kind of a here's a really easy way to think of it in my opinion you have cookies in the fridge right and every day I go and every week will say my mom makes cookies this doesn't happen I wish it did be very cool but I love your mom and we didn't eat cookies every week but in the fridge I go when I count how many cookies there were right and using data I'd say oh twelve cookies if there's any cookies at all I can eat right that's using technology and that moment but doing data Sciences well you know what she's gonna make you know twelve and a couple of days and I have two days left and there's six cookies I can eat three today and three tomorrow because now you're doing prescriptive analytics right because you are prescribing an action based on the information you collected it's based on historical data because you know that every seventh day the cookies are coming no I just take it as I'm using technology as a tool I might only eat one cookie and forever be leaving six cookies on the table right and so there's hid don't want to do that no we don't but we trick ourselves I think we see that not saying baseball does is but I'm saying we've see that in all domains where we use technology we say oh technology good we had someone use technology that's data science no that's not data science that's using technology to help Tripp augment training using data Sciences understand the information that happened during the training process looking at it contextually to them prescribed saying I'm going to do this exercise or this exercise based on the collection and maturation of the information so instead of cookies here I eat one cookie it's a historic Lee I know there's going to be twelve cookies every seven days I have two days left I can eat three cookies now I can hide two and tell my sister Amelia oh there's only one left very weird I don't know who ate data - well let max let me let me let me wrap up with a very interesting challenge that I think all all data scientists face wellmaybe all citizens of data science face and I say did as citizens of data science I mean people who understand how to use the results of data science not necessarily people who are creating the data science and here's here's the challenge that if you if you make your decisions just based on the numbers alone you're likely to end up with suboptimal results and the reason why that happens is because there's lots of outside variables that have huge influence especially when it comes to humans and even machines to a certain extent let me give you an example know baseball is is infatuated with cyber metrics and numbers right everybody is making decisions we're seeing this now in the current offseason you know who was signing contracts and who has given given money and they're using they're using the numbers to show you know how much is that person really worth and and organizations are getting really surgical and their ability to figure out that that person is not worth a you know a six year contract for you know 84 million dollars they're worth a two-year contract for 36 and that's the best way I'm gonna you know pay but minimize my risks and so then the numbers are really drive and allow that but it isn't just the big data that helps to make decisions and in fact I would argue the insights carried from the small data is equally important especially in sports and I think this is a challenge in other parts of the business is the numbers itself the data itself doesn't tell the full story and in particular think about how does an organization leverage the small data the observed data to really help make a better decision so right now in baseball for example in this offseason the teams became infatuated with using numbers to figure out who were they going to offer contracts to how much they were going to pay him for how long and we saw really the contracts in most cases really shrinking and value in size cuz people are using the numbers and comparing that to say always so and so it only got this you're only going to get this and numbers are great but they miss some of the smaller aspects that really differentiate good athletes from great athletes and those are things like fortitude part you know effort resilience these these kind of things that aren't you can't find that in the number so somebody's ability to a closer write who goes out there in the eighth-inning and and just has a shit performance gets beat up all over the place comes back in it still has to lead and and does that person have the guts the fortitude to go back out there after us bad eighth-inning and go do it again who can fight through when they're tired it's late in the game now you've been playing it's a you know 48 minute game you've been playing forty minutes already you've hardly had a break and you're down by two the balls in your hand a three-pointer is gonna win it what are you gonna do my numbers don't measure that it's theirs these these these other metrics out there like fortitude at heart and such that you actually can start to measure they don't show up a numbers where they come from the inside some subject matter experts to say yeah that person has fight and in fact there's one pro team that actually what they do in the minor leagues they actually put their players into situations that are almost no win because they want to see what they're gonna do do they give up or do they fight back and and you know what you again you can't batting average then tell you that if somebody's gonna get up and that you're gonna give up it's a ninth in and you think you've lost you know what I don't want that person out there and so think about in sports how do you complement the data that you can see coming off of devices with the data that experience coach can say that that person's got something extra there they got the fight they have the fortitude they have the resilience when they're down they keep battling they don't give up and you know from experience from from playing and coaching I know from playing and coaching the guy is going to give up you know who they are I don't want them on the court right it made me the best player from a numbers perspective hell if that was the case Carmelo Anthony would be an all-star every time his numbers are always great the guide lacks heart but he doesn't know how to win so think about how as an organization a sporting organization you use the metrics to help give you a baseline but don't forget about the the soft metrics the servable things that you got to tell you that somebody has something special that is an awesome way to bring this together because subject matter experts those are people who have been in the trenches who see it firsthand date is here to augment you in your decisions it's not here to override you it's not here to take your place and so in coaches fear data it's the silliest thing ever because it's giving more ammo to a gunslinger that's all it does right it's not going to win the battle right it's just the bullets you got to still aim it in fire and so when we look at it in regards to performance and athletic development all these numbers they'll never be right ever they'll never be 100% perfect but neither will you and so what we're trying to do is help your decisions with more information that you can process into your brain that you might otherwise not be able to quantify so it's giving that paintbrush not just the color red but given all the colors to you and so now you can make whatever painting you want and you're not constrained by things you can't measure yourself I could add one point max to bill on that data won't make a shitty coach good but it will make a good coach great yeah yeah I couldn't agree more well dad thank you for being on here I really appreciate and for everyone who's listening this is going on prime March Madness time and so to pull away the dean of big data from March Madness who for people listening he made his bracket on the Google cloud using AI and so it only he so I was thanking him to come here and only he would be the one to I guess take I don't say take the fun out of it but try and grid the family bracket for used it all augmented decision-making he possibly can like it the data will make won't make somebody shitty good and I'm still not good Google Cloud couldn't help me I still at the bottom of the family pool it's great to have you in I guess every minute here is worth double being that's March Madness time thanks max for the opportunity it's a fun conversation alright thank you guys for listening really appreciate it and [Music] [Applause] [Music] you
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StrongyByScience Podcast | Bill Schmarzo Part One
produced from the cube studios this is strong by science in-depth conversations about science based training sports performance and all things health and wellness here's your host max smart [Music] [Applause] [Music] all right thank you guys tune in today I have the one and only Dean of big data the man the myth the legend bill Schwarz oh also my dad is the CTO of Hitachi van Tara and IOC in analytics he has a very interesting background because he is the well he's known as the Dean of big data but also the king of the court and all things basketball related when it comes to our household and unlike most people in the data world and I want to say most as an umbrella term but a some big bill has an illustrious sports career playing at Coe College the Harvard of the Midwest my alma mater as well but I think having that background of not just being computer science but where you have multiple disciplines involved when it comes to your jazz career you had basketball career you have obviously the career Iran now all that plays a huge role in being able to interpret and take multiple domains and put it into one so thank you for being here dad yeah thanks max that's a great introduction I rep reciate that no it's it's wonderful to have you and for our listeners who are not aware bill is referring him is Bill like my dad but I call my dad the whole time is gonna drive me crazy bill has a mind that thinks not like most so he he sees things he thinks about it not just in terms of the single I guess trajectory that could be taken but the multiple domains that can go so both vertically and horizontally and when we talk about data data is something so commonly brought up in sports so commonly drop in performance and athletic development big data is probably one of the biggest guess catchphrases or hot words or sayings that people have nowadays but doesn't always have a lot of meaning to it because a lot of times we get the word big data and then we don't have action out of big data and bill specialty is not just big data but it's giving action out of big data with that going forward I think a lot of this talk to be talking about how to utilize Big Data how do you guys data in general how to organize it how to put yourself in a situation to get actionable insights and so just to start it off Becky talked a little bit on your background some of the things you've done and how you develop the insights that you have thanks max I have kind of a very nos a deep background but I've been doing data analytics a long time and I was very fortunate one of those you know Forrest Gump moments in life where in the late 1980s I was involved in a project at Procter & Gamble I ran the project where we brought in Walmart's point of sales data for the first time into a what we would now call a data warehouse and for many of this became the launching point of the data warehouse bi marketplace and we can trace the effect the origins of many of the BI players to that project at Procter & Gamble in 87 and 88 and I spent a big chunk of my life just a big believer in business intelligence and data warehousing and trying to amass data together and trying to use that data to report on what's going on and writing insights and I did that for 20 25 years of my life until as you probably remember max I was recruited out Business Objects where I was the vice president of analytic applications I was recruited out of there by Yahoo and Yahoo had a very interesting problem which is they needed to build analytics for their advertisers to help those advertisers to optimize or spend across the Yahoo ad network and what I learned there in fact what I unlearned there was that everything that I had learned about bi and data warehouse and how you constructed data warehouses how you were so schema centric how everything was evolved around tabular data at Yahoo there was an entirely different approach the of my first introduction to Hadoop and the concept of a data Lake that was my first real introduction into data science and how to do predictive analytics and prescriptive analytics and in fact it was it was such a huge change for me that I was I was asked to come back to the TD WI data world Institute right was teaching for many years and I was asked to do a keynote after being at Yahoo for a year or so to share sort of what were the observations what did I learn and I remember I stood up there in front of about 600 people and I started my presentation by saying everything I've taught you the past 20 years is wrong and it was well I didn't get invited back for 10 years so that probably tells you something but it was really about unlearning a lot about what I had learned before and probably max one of the things that was most one of the aha moments for me was bi was very focused on understanding the questions that people were trying to ask an answer davus science is about us to understand the decisions they're trying to take action on questions by their very nature our informative but decisions are actionable and so what we did at Yahoo in order to really drive the help our advertisers optimize your spend across the Yahoo ad network is we focus on identifying the decisions the media planners and buyers and the campaign managers had to make around running a campaign know what what how much money to allocate to what sides how much how many conversions do I want how many impressions do I want so all the decisions we built predictive analytics around so that we can deliver prescriptive actions to these two classes of stakeholders the media planners and buyers and the campaign managers who had no aspirations about being analysts they're trying to be the best digital marketing executives or you know or people they could possibly be they didn't want to be analysts so and that sort of leads me to where I am today and my my teaching my books my blogs everything I do is very much around how do we take data and analytics and help organizations become more effective so everything I've done since then the books I've written the teaching I do with University of San Francisco and next week at the National University of Ireland and Galway and all the clients I work with is really how do we take data and analytics and help organizations become more effective at driving the decisions that optimize their business and their operational models it's really about decisions and how do we leverage data and analytics to drive those decisions so what would how would you define the difference between a question that someone's trying to answer versus a decision but they're trying to be better informed on so here's what I'd put it I call it the Sam test I am and that is it strategic is it actionable is it material and so you can ask questions that are provocative but you might not fast questions that are strategic to the problems you're trying to solve you may not be able to ask questions that are actionable in a sense you know what to do and you don't necessarily ask questions that are material in the sense that the value of that question is greater than the cost of answering that question right and so if I think about the Sam test when I apply it to data science and decisions when I start mining the data so I know what decisions are most important I'm going through a process to identify to validate the value and prioritize those decisions right I understand what decisions are most important now when I start to dig through the data all this structured unstructured data across a number different data sources I'm looking for I'm trying to codify patterns and relationships buried in that data and I'm applying the Sam test is that against those insights is it strategic to the problem I'm trying to solve can I actually act on it and is it material in the sense that it's it's it's more valuable to act than it is to create the action around it so that's the to me that big difference is by their very nature decisions are actually trying to make a decision I'm going to take an action questions by their nature are informative interesting they could be very provocative you know questions have an important role but ultimately questions do not necessarily lead to actions so if I'm a a sport coach I'm writing a professional basketball team some of the decisions I'm trying to make are I'm deciding on what program best develops my players what metrics will help me decide who the best prospect is is that the right way of looking at it yeah so we did an exercise at at USF too to have the students go through an exercise - what question what decisions does Steve Kerr need to make over the next two games he's playing right and we go through an exercise of the identifying especially in game decisions exercise routes oh no how often are you gonna play somebody no how long are they gonna play what are the right combinations what are the kind of offensive plays that you're gonna try to run so there's a know a bunch of decisions that Steve Kerr is coach of the Warriors for example needs to make in the game to not only try to win the game but to also minimize wear and tear on his players and by the way that's a really good point to think about the decisions good decisions are always a conflict of other ideas right win the game while minimizing wear and tear on my players right there's there are there are all the important decisions in life have two three or four different variables that may not be exactly the same which is by this is where data science comes in the data science is going to look across those three or four very other metrics against what you're going to measure success and try to figure out what's the right balance of those given the situation I'm in so if going back to the decision about about playing time well think about all the data you might want to look at in order to optimize that so when's the next game how far are they in this in this in the season where do they currently sit ranking wise how many minutes per game has player X been playing looking over the past few years what's there you know what's their maximum point so there's there's a there's not a lot of decisions that people are trying to make and by the way the beauty of the decisions is the decisions really haven't changed in years right what's changed is not the decisions it's the answers and the answers have changed because we have this great bound of data available to us in game performance health data you know all DNA data all kinds of other data and then we have all these great advanced analytic techniques now neural networks and unstructured supervised machine learning on right all this great technology now that can help us to uncover those relationships and patterns that are buried in the data that we can use to help individualize those decisions one last point there the point there to me at the end when when people talk about Big Data they get fixated on the big part the volume part it's not the volume of big data that I'm going to monetize it's the granularity and what I mean by that is I now have the ability to build very detailed profiles going back to our basketball example I can build a very detailed performance profile on every one of my players so for every one of the players on the Warriors team I can build a very detailed profile it the details out you know what's their optimal playing time you know how much time should they spend before a break on the feet on the on the on the court right what are the right combinations of players in order to generate the most offense or the best defense I can build these very detailed individual profiles and then I can start mission together to find the right combination so when we talk about big it's not the volume it's interesting it's the granularity gotcha and what's interesting from my world is so when you're dealing with marketing and business a lot of that when you're developing whether it be a company that you're trying to find more out about your customers or your startup trying to learn about what product you should develop there's tons of unknowns and a lot of big data from my understanding it can help you better understand some patterns within customers how to market you know in your book you talk about oh we need to increase sales at Chipotle because we understand X Y & Z our current around us now in the sports science world we have our friend called science and science has helped us early identify certain metrics that are very important and correlated to different physiological outcomes so it almost gives us a shortcut because in the big data world especially when you're dealing with the data that you guys are dealing with and trying to understand customer decisions each customer is individual and you're trying to compile all together to find patterns no one's doing science on that right it's not like a lab work where someone is understanding muscle protein synthesis and the amount of nutrients you need to recover from it so in my position I have all these pillars that maybe exist already where I can begin my search there's still a bunch of unknowns with that kind of environment do you take a different approach or do you still go with the I guess large encompassing and collect everything you can and siphon after maybe I'm totally wrong I'll let you take it away no that's it's a it's a good question and what's interesting about that max is that the human body is governed by a series of laws we'll say in each me see ology and the things you've talked about physics they have laws humans as buyers you know shoppers travelers we have propensity x' we don't have laws right I have a propensity that I'm gonna try to fly United because I get easier upgrades but I might fly you know Southwest because of schedule or convenience right I have propensity x' I don't have laws so you have laws that work to your advantage what's interesting about laws that they start going into the world of IOT and this concept called digital twins they're governed by laws of physics I have a compressor or a chiller or an engine and it's got a bunch of components in it that have been engineered together and I can actually apply the laws I can actually run simulations against my digital twins to understand exactly when is something likely to break what's the remaining useful life in that product what's the severity of the the maintenance I need to do on that so the human body unlike the human psyche is governed by laws human behaviors are really hard right and we move the las vegas is built on the fact that human behaviors are so flawed but body mate but bat body physics like the physics that run these devices you can actually build models and one simulation to figure out exactly how you know what's the wear and tear and what's the extensibility of what you can operate in gotcha yeah so that's when from our world you start looking at subsystems and you say okay this is your muscular system this is your autonomic nervous system this is your central nervous system these are ways that we can begin to measure it and then we can wrote a blog on this that's a stress response model where you understand these systems and their inferences for the most part and then you apply a stress and you see how the body responds and even you determine okay well if I know the body I can only respond in a certain number of ways it's either compensatory it's gonna be you know returning to baseline and by the mal adaptation but there's only so many ways when you look at a cell at the individual level that that cell can actually respond and it's the aggregation of all these cellular responses that end up and manifest in a change in a subsystem and that subsystem can be measured inferential II through certain technology that we have but I also think at the same time we make a huge leap and that leap is the word inference right we're making an assumption and sometimes those assumptions are very dangerous and they lead to because that assumptions unknown and we're wrong on it then we kind of sway and missed a little bit on our whole projection so I like the idea of looking at patterns and look at the probabilistic nature of it and I'm actually kind of recently change my view a little bit from my room first I talked about this I was much more hardwired and laws but I think it's a law but maybe a law with some level of variation or standard deviation and it we have guardrails instead so that's kind of how I think about it personally is that something that you say that's on the right track for that or how would you approach it yeah actually there's a lot of similarities max so your description of the human body made up of subsystems when we talk to organizations about things like smart cities or smart malls or smart hospitals a smart city is comprised of a it's made up of a series of subsystems right I've got subsystems regarding water and wastewater traffic safety you know local development things like this look there's a bunch of subsystems that make a city work and each of those subsystems is comprised of a series of decisions or clusters of decisions with equal use cases around what you're trying to optimize so if I'm trying to improve traffic flow if one of my subsystems is practically flow there are a bunch of use cases there about where do I do maintenance where do I expand the roads you know where do I put HOV lanes right so and so you start taking apart the smart city into the subsystems and then know the subsystems are comprised of use cases that puts you into really good position now here's something we did recently with a client who is trying to think about building the theme park of the future and how do we make certain that we really have a holistic view of the use cases that I need to go after it's really easy to identify the use cases within your own four walls but digital transformation in particular happens outside the four walls of an organization and so what we what we're doing is a process where we're building journey maps for all their key stakeholders so you've got a journey map for a customer you have a journey map for operations you have a journey map for partners and such so you you build these journey maps and you start thinking about for example I'm a theme park and at some point in time my guest / customer is going to have a pity they want to go do something you want to go on vacation at that point in time that theme park is competing against not only all the other theme parks but it's competing against major league baseball who's got things it's competing against you know going to the beach in Sanibel Island just hanging around right there they're competing at that point and if they only start engaging the customer when the customers actually contacted them they must a huge part of the market they made you miss a huge chance to influence that person's agenda and so one of the things that think about I don't know how this applies to your space max but as we started thinking about smart entities we use design thinking and customer journey match there's a way to make certain that we're not fooling ourselves by only looking within the four walls of our organization that we're knocking those walls down making them very forest and we're looking at what happens before somebody engages it with us and even afterwards so again going back to the theme park example once they leave the theme park they're probably posting on social media what kind of fun they had or fun they didn't have they're probably making plans for next year they're talking to friends and other things so there's there's a bunch of stuff we're gonna call it afterglow that happens after event that you want to make certain that you're in part of influencing that so again I don't know how when you combined the data science of use cases and decisions with design thinking of journey Maps what that might mean to do that your business but for us in thinking about smart cities it's opened up all kinds of possibilities and most importantly for our customers it's opened up all kinds of new areas where they can create new sources of value so anyone listening to this need to understand that when the word client or customer is used it can be substituted for athlete and what I think is really important is that when we hear you talk about your the the amount of infrastructure you do for an idea when you approach a situation is something that sports science for in my opinion especially across multiple domains it's truly lacking what happens is we get a piece of technology and someone says go do science while you're taking the approach of let's actually think out what we're doing beforehand let's determine our key performance indicators let's understand maybe the journey that this piece of technology is going to take with the athlete or how the athletes going to interact with this piece of technology throughout their four years if you're in the private sector right that afterglow effect might be something that you refer to as a client retention and their ability to come back over and over and spread your own word for you if you're in the sector with student athletes maybe it's those athletes talking highly about your program to help with recruiting and understanding that developing athletes is going to help you know make that college more enticing to go to or that program or that organization but what really stood out was the fact that you have this infrastructure built beforehand and the example I give I spoke with a good number of organizations and teams about data utilization is that if if you're to all of a sudden be dropped in the middle of the woods and someone says go build a cabin now how was it a giant forest I could use as much wood as I want I could just keep chopping down trees until I had something that had with a shelter of some sort right even I could probably do that well if someone said you know what you have three trees to cut down to make a cabin you could become very efficient and you're going to think about each chop in each piece of wood and how it's going to be used and your interaction with that wood and conjunction with that woods interaction with yourself and so when we start looking at athlete development and we're looking at client retention or we're looking at general health and wellness it's not just oh this is a great idea right we want to make the world's greatest theme park and we want to make the world's greatest training facility but what infrastructure and steps you need to take and you said stakeholders so what individuals am i working with am I talking with the physical therapist am i talking with the athletic trainer am I talking with the skill coach how does the skill coach want the data presented to them maybe that's different than how the athletic trainer is going to have a day to present it to them maybe the sport coach doesn't want to see the data unless something a red flag comes up so now you have all these different entities just like how you're talking about developing this customer journey throughout the theme park and making sure that they have a you know an experience that's memorable and causes an afterglow and really gives that experience meaning how can we now take data and apply it in the same way so we get the most value like you said on the granular aspect of data and really turn that into something valuable max you said something really important and one of the things that let me share one of many horror stories that that that comes up in my daily life which is somebody walking up to me and saying hey I got a client here's their data you know go do some science on it like well well what the heck right so when we created this thing called the hypothesis development canvas our sales teams hate it or do the time our data science teams love it because we do all this pre work we just say we make sure we understand the problem we're going after the decision they're trying to make the KPI is it's what you're going to measure success in progress what are they the operational and financial business benefits what are the data sources we want to consider here's something by the way that's it's important that maybe I wish Boeing would have thought more about which is what are the costs of false positives and false negatives right do you really understand where your risks points are and the reason why false positive and false negatives are really important in data science because data size is making predictions and by virtue of making predictions we are never 100% certain that's right or not predictions hath me built on I'm good enough well when is good enough good enough and a lot of that determination as to when is good enough good enough is really around the cost of false positives and false negatives think about a professional athlete like the false the you know the ramifications of overtraining professional athlete like a Kevin Durant or Steph Curry and they're out for the playoffs as huge financial implications them personally and for the organization so you really need to make sure you understand exactly what's the cost of being wrong and so this hypothesis development canvas is we do a lot of this work before we ever put science to the data that yeah it's it's something that's lacking across not just sports science but many fields and what I mean by that is especially you referred to the hypothesis canvas it's a piece of paper that provides a common language right it's you can sit it out before and for listeners who aren't aware a hypothesis canvas is something bill has worked and developed with his team and it's about 13 different squares and boxes and you can manipulate it based on your own profession and what you're diving into but essentially it goes through the infrastructure that you need to have setup in order for this hypothesis or idea or decision to actually be worth a damn and what I mean by that is that so many times and I hate this but I'm gonna go in a little bit of a rant and I apologize that people think oh I get an idea and they think Thomas Edison all son just had an idea and he made a light bulb Thomas Edison's famous for saying you know I did you know make a light bulb I learned was a 9000 ways to not make a light bulb and what I mean by that is he set an environment that allowed for failure and allowed for learning but what happens often people think oh I have an idea they think the idea comes not just you know in a flash because it always doesn't it might come from some research but they also believe that it comes with legs and it comes with the infrastructure supported around it that's kind of the same way that I see a lot of the data aspect going in regards to our field is that we did an idea we immediately implement and we hope it works as opposed to set up a learning environment that allows you to go okay here's what I think might happen here's my hypothesis here's I'm going to apply it and now if I fail because I have the infrastructure pre mapped out I can look at my infrastructure and say you know what that support beam or that individual box itself was the weak link and we made a mistake here but we can go back and fix it
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Andy Jassy, AWS | AWS re:Invent 2018
live from Las Vegas it's the cube covering AWS reinvent 2018 brought to you by Amazon Web Services Intel and their ecosystem partners okay welcome back and we're live here in Las Vegas day three last interview of the day three days of wall-to-wall coverage two sets here at AWS reinvent 2018 our sixth year we've been at every reinvent except for the first one and it's been great to watch the rise I'm Jeff we're with Dean Volante we're here with Andy Jesse the CEO of AWS started this as it working backwards document years ago twelve years ago 12 half year zine years ago was when the document was written and we've launched 12 and a half years ago great to see you thanks for spending time I know you're super busy congratulations we met last week you couldn't really talk about it but boy there was so much more payload in the announcements than they were before are you happy with the results certainly three our keynote was taxing what's good impression when the keynote was over but ya know we're thrilled with it and most importantly the reason we're thrilled is because our customers are thrilled I think they just couldn't believe how much we delivered this week you know well over 100 capabilities and they were super excited about you know the storage announced was the thing is when you have millions of customers any announcement you make is going to be popular with thousands of customers so some people walked up to me and said oh I know it's not sexy but I love the storage announcements I needed the file systems I wanted that glacier deep archive some customers love the database releases with lots of customers that were excited about the machine learning piece and you know the another unsexy one where the enterprise abstractions just to make it so much easier for that type of builder who wants more prescriptive guidance to be able to get started quicker and then you know people are pretty excited that outpost too so it has you a question I'll talk Amazon speak now what what areas of the show do you feel you raise the bar this year on what was that what would you point to bar raising moments announcements well you know I think each year one of the things I like about reinvent and that we work hard on is we'd like to have we don't really want it to be a corporate event we wanted to be quirky and we want it to be authentic and we want you know we want our community to fit to have fun here while they also learn so you know Midnight Madness is for instance something we do every you know we've done the last couple years and we try radically different things and so I thought that Tatanka eating contest raised the bar is again this year was the second year in a row that we said again as political World Records and you know I thought I really liked Peter De Santis --is and Myrna Vogel's keynotes on Monday and today respectively I thought they both were fantastic and you know keep raising the bar are you over a year and you know so they're you know we're hoping I too will be something that people feel like raise the bar year over year what the house band synchronicity was quite good too you know yeah I tell you that that fan is terrific and you know and I think that again all those things I mentioned are part of what we you know think makes the event fun and quirky and different but the most important thing by far is the learning of the education and then our customers excited about not just the platform but we launched so many things do they feel like it helps them do their job better well while we're on the raising bar we've got a prop here this is the the deep racer deep the deep racer machine learning it's a toy for testing and the question comes up how old do you have to be to use this and I said hey if your kid can code machine learning good for them but talk about this because this is kind of interesting because it's fun but where'd this come from you know it came from last year when we release sage maker and we were making machine learning so much easier for everyday developers of scientists we said what can we do to give people hands-on experience because you learn things better if you actually try it and so we tried to help developers get more experience to computer vision by having a deep lens you know video camera and that was wildly popular and so as we were thinking about this year making reinforcement learning available as easily as we are in sage maker which we think is a huge potential game-changer grant Forsman learning the team kept thinking about it's great but nobody knows enforcement learning and nobody has experienced with it how can we give them experience what are ways they can get hands-on experience and that's how the deep racer car came up which is really making it simple where they can just give us a reward function with a line of Python strip and then Sage Maker will automatically train an RL algorithm and then they get to play it to the car and then race against one another and when we watched how competitive it was getting inside our own house on these RL infused cars racing each other we figured other people might find a compelling as well and I couldn't believe how many people participate yesterday yeah and then I don't know if you saw it three burners right before burners keynote the finals were really exciting to like the fact that there were some imperfections were actually made it more compelling to watch and so we had a racer Cup coming up - I met play 19 competitive yes that's going to happen yeah today was the accelerated version of the first ever deep racer League championship Cup but next year will be a full season at our 20 AWS summits the top winners in the in the deep racers you see bracer League races at each of those summits plus the top 10 vote getters in points from those summits will come here and compete for the championship Cup now you and I talked about a new persona last week when we met but now the announcements pretty clear now why this points to a whole new persona developer you got eSports on the twitch side booming heat sports is changing the game and in the whole digital sports category robotics space you got a satellite announcement this is a genre changed in digital culture and you see the AI stuff and machine learning how does the web services stack play in this new world where AI is now a service it's a whole nother paradigm shift what's your thoughts on all that well you know I mean all those areas that were continuing to expand into our areas that our customers are asking us to help them with and where there are huge opportunities for customers but where it's hard I mean if you look at space as an example if you've to interact with a satellite it's it's expensive to have to have all those satellites set up you know and those drown ground antennas set up and then you have to program them and then and you actually have to pay this fixed price instead of on-demand customers so why can't you give us access those satellites the way we consume AWS and then if you can have the ground antennas where when the data comes down from the satellite it's basically on the same premises as your AWS region so we can store the data and process the data analyze it and take action that is very compelling so that that just felt like a natural fit you know and the same thing with robotics I think that robotics is one of the most underrated areas of Technology I think robots will do all kinds of things for us at work and in a home and the tools out there to make it easy to build robotic applications and to do the simulation to deploy them and then have them work with the rest of your applications and infrastructure have been pretty primitive and so robot maker is I agree with you I think you look at the younger generation too even at the high school elementary level people are gravitating towards robotics robotics clubs are booming that maker culture goes through a whole nother level with robotic congratulation you know it's funny we had the youngest person to ever pass the AWS certification exam is a kid named Karthik nine years old passed and he was here this week actually and I got a chance to meet with him today and I said well after the certification what are you doing he said well I'm building a robot you know I'm feeling Ruben he said now with your launch of deep racer I want to try and find a way to to have the deep racer car be the eyes and the camera and the reinforcement learning for my robot nine years old yes it's gonna be a different generation with what they build John and I were talking this morning Andy at our open about you're making it harder for the critics used to be self-service only it criticized your open source contributions the hybrid strategy your turn a tick in the box is on all those outpost was I think surprised a lot of people it didn't so much surprise us that you were moving in that direction but I wonder if you could sort of talk about some of those key initiatives I know it's customer driven but wow the the TAM expansion the the customer value that you're bringing it's like a whole new era that you're entering yeah you know everything we build is you guys know we talk about all the time it's just it's driven by what customers want and so we just started over the last six months you know and really by virtue of having this partnership with VMware where we have a lot of enterprise engagement as they're moving to the cloud using VMware cloud and AWS we had a bunch of customers say it's really great I'm moving most my application of the cloud but there's some that aren't moving for a while because they got to be close to selling on-premises and I want to use AWS for this I don't want a different environment can you just find a way to put some services like compute and storage on-premises and hardware but I want to actually use the same control plan I'm going to use for the rest of AWS and I wanted to easily connect with the rest of my applications in AWS and we had you know we didn't like as you and I talked about a week or two ago we just have not like the model that's been out there so far to do this because it's you know the control plane is different the api's are different the tools are different the hardware is different the functionality is different and customers don't like it's why it's not getting much traction and we didn't want to pursue it if we didn't think it was going to be useful but we had this concept we were working on with a couple customers where they wanted compute and storage on-premises but they wanted to have that connect with all the other applications in the AWS cloud and so we have this idea that maybe this local set of compute and storage would be like a far zone from an availability zone they were using and we started thinking about that and we thought there was much more generalized idea which became outposts and so the thing that I think people are gonna love about that is for the applications that can't move easily because they need to be close slang on-premises you get AWS like real AWS compute real AWS Storage Analytics database sage maker will be in there as well but it's the same api's same control playing the same tools the same hardware we use in our data centers and it will easily connect through the same control plane to the rest of AWS the rest of the services and the rest of their applications there so and it provides a platform for a whole host of new services down I mean every customer meeting I've had in the last we made the announcement people are excited about I want to ask you guys are talking about all the innovation and new areas and we're seeing an expansion of the AWS distinct brand and things like TV advertising statcast I wonder what's behind that can you address that yeah it's a good question I mean there's kind of two different types of I'll call it TV advert Swartz we're doing one is straight-up advertising one is less so which is you know the one that less so is that a number of the sports leagues are really interested in and actually pretty sophisticated in using cloud computing and analytics and machine learning if you look at Major League Baseball now NFL and Formula One and they want to make the user experience and the viewer experience so much better and so they're building on top of AWS and then we like the ability of helping them showcase the capabilities that they're you know both the customer experience and the ml and AI capabilities then there's just a straight-up advertising them that we've been trying we tried a little bit of it last q4 and you know it's always very difficult to quantitatively measure tvf but we have a lot of ways that we try to triangulate that and we were really surprised and what looked like the positive numbers we saw for both TV as well as the outdoor media and things like in the airports and things like that and so we decided we would try it again this q4 and you know I think I would call us right now still experimenting yeah and it's very much kind of what Amazon does which is we try different things to see what resonates the see Whitefield says so so far so good and we expect to keep experimenting I I think that's a good call because the brand lift is probably there I'll see impressions get reach vehicle but you guys are in a rising tide market we're hearing co-creation VMware co-creating deep meaningful partnerships you always talk about that so it's kind of this success model of innovation to reimagine the satellite Lockheed Martin a partnership this seems to be a new way to do business in this rising tide how are you guys getting the word out education people want to know more this is a big kind of movement yeah well you know I think that if you looked at the first several years of AWS I was always surprised when I would go see enterprises and they would have no idea that Amazon was doing anything in the cloud even though we had the only cloud offering at the time so I think if you compare where we were a few years ago to today there's you know gigantic awareness relatively speaking but I still think that there are so many majority of workloads still live on premises I mean we have a twenty seven billion dollar revenue run rate business it's growing forty six percent year-over-year and yet we're still at the early stages of the meet of enterprise of public sector adoption in the u.s. you go outside the US where there twelve to thirty six months behind depending on the country in the industry and sometimes it feels like you know like Groundhog's Day well you guys are doing regions out there Italy as was announced yeah you're expanding very fast globally can you talk about that real quick yeah it's it's a you know we've had customers from 192 countries using AWS for many many years but they've been using AWS in regions outside of their country usually because there are a lot of workloads that could stand that latency and where the data doesn't have to be on natural soil but increasingly if you want to help customers get done what they want to and serve the broader array of their applications you have to have regions in their country both so that they have lower latency to their end users and because the data sovereignty laws which are getting really more rigid rather than more flexible let me ask you a question about competition you you said I can't members on the cube or in person there's no compression reach out gorilla for experience and time elastic economies with scale when you have copycat people trying to copy Amazon how do you talk about some of those things that are those diseconomies of scale what are the points that customers should look at when they say okay I got someone else is talking cloud Amazon's got years of experience ahead of the competition more services what do you talk about what do you point to you it's not about slimming the competition but what is the diseconomy of scale to try to match the trajectory of Amazon yeah it's it's a bunch of things you know first of all it's operational performance you know a lot of the hardest lessons you learn and operating of scale only happen when you get to that level of scale and you know there's some events that we see sometimes elsewhere we look at that and then we read the post-mortem we say oh yeah 2011 you know we remember they went through that I don't wish it on anybody but when you have a business at several times larger than the next or providers combined you just said a different level of scale and you've learned lessons earlier I also think that the reason that we continue to have both so much more functionality and innovate at a faster clip and seem to get capabilities that customers want is because we have so many more customers than anybody else you know a lot of times and this is happening all week to where customers will say to me I can't believe that you knew that I wanted that and I always say it's because you told us yeah it's not like we're Nostradamus you've told us that and so when you have so many more customers and when they feel free to give you feedback and when you've built good mechanisms like we have to get that feedback from the field to the product builders it means there's this real flywheel of getting you know getting more customers leads to more feedback leads to more features leads to better functionality where there's a network effect from being on the platform with all those other customers and all those industries I wonder if you could add some color to a premise that we've put forth on your edge strategy so what you guys you know we do a lot of these shows and a lot of the IOT and edge strategies that we've seen from traditional IT players what you call the old guard have fallen flat in our opinion because it's a top-down approach it reminds us of the Windows Phone it just didn't work and it's not going to work as their operations technologies people we see what you've announced here as a Bottoms Up approach you developing an application platform to build secure and manage apps for those folks right at the edge I wonder if you could add some color to that and some thoughts on your edge strategy yeah I mean again for us if we don't have some top-down strategy that you know that I think is grandiose it's just what customers want and so we have so many customers who have all these devices at the edge and all these assets at the edge and they said to us well the first problem I have I want to get this data into the cloud and then I want to do analytics item we say ok well how can we help they say well the first thing is I don't even know how to translate this data from the device protocol to just being able to operate in the cloud so that's the first problem we go solve well then people say ok now I can get it in but I actually I need security like you know if you look at the amount of security options for these edge devices it's a new field you know let that dine attack that took a lot of the internet down a couple years ago came from you know a device on the edge and so that's why you know we built you know a security capability and people say well okay now you've made it so I can run devices but if I'm gonna run thousands of devices I need a way to manage all those devices of scale and we build telling to manage two devices and people say well ok it's great that I can do it and device is big enough that have a CPU but what about when they don't have a CPU you know they have just a microcontroller and that's why we built the our toss piece and you know the list kind of keeps going people so this is great now that I get all this data in the cloud I can take all these analytics actions but on my device sometimes I don't want to make the round trip to the cloud so can you give me a way to use the same programming model and and pick which triggers I want to take action with cloud versus those that want to take on the device itself which was what green grass was so all of those pieces is not some kind of top-down master plan as much as we know that customers have all these devices the edge that they want to use that data analyze that data take action on that data and send it back in multiple ways and you have you have the cloud platform to give them the services to make the tools the right tools for the right job yeah that's the main team yeah so I got to ask you about one of the big controversies that we don't think that's that controversial but the chips that you announced new Amazon Web Services front microprocessors the chips yeah do two of them talk about them and Intel's also a partner a lot of people are talking about this in the press yeah Intel Amazon chips well that annapurna acquisition is Norton they bear fruit was 2015 I think yeah early it really the annapurna team is fantastic and they've added a huge amount of value to AWS and Amazon as a whole you know the first thing I would say is that Intel is a very deep partner of AWS and will be for a long time I mean that that's not changing and we've been a long thought that they were gonna be lots of different processors out there and and different ones that did different things at different price points and so like a lot of other companies we've been interested in arm for a long time and for a while it wasn't mature enough and the technology is matured and we found a way in in building our own ARM chip with graviton where we think we can allow customers to run a lot of their scale out generalize were close but up to 45 percent less expensively and so when you find a value proposition that compelling for customers you need to do it and you know as I mentioned in the keynote yesterday when we were talking about inference we feel like a lot of the world has been solvent for training and not solvent as much for inference yet and we've made training so much easier with the things that we've built in AWS over the last couple years but inferences where most of the cost is gonna be and so elastic inference we think it you know will allow people to be much more efficient in how they use them for use and how they spend money but when you've got the type of workloads at scale and productions that use whole GPUs or that need that low latency where you need it on the hardware of a chip that's optimized for inference they is faster that's more cost effective that's high throughput we can get hundreds of tops on it and thousands to you ban them together he's gonna totally change the game for imprison and so that was something that wasn't easy for us to find elsewhere and when we have team fortunately they could build it and it's the combination of the elastic service of inference with the chip that makes the difference it specialism there so it's not like I mean you can use each on their own and we expect they'll be a bunch of customers who will use each on their own but there will be an opportunity to use those in combination that will be very powerful it comes down to really deeply understanding the customer problem again at night training versus inference and everybody talks about the training right the the technical challenge you got a child is the internet and tells gonna make a lot of money as it stands expanding market banding so they'll get their share the chips get taped out their con a couple year to three year life cycles and everything starts anew every time somebody's building a new chip so I think it's actually great for customers of all sorts that there's multiple processors that are possible but we will have a deep relationship with Intel forever I think so I want to talk about one of the cool demos you did on stage not a lot you did customer did f1 that was a super cool I love that imagery because it said an analogy of high performance competitive racing that can be applied to this play sports anything and the level of accuracy that they need in the real time time series kind of encapsulates a lot of the cloud value talk about the f1 analytic thing are you guys gonna sponsor these events there's a relationship there give us what the picture of what's going on there you have a deep relationship with Formula One where they're using our platform to to do their all their digital properties as well as their analytics and machine learning and it was super cool to see Ross demo the way that they're changing the user experience for for viewers and you know it's it's it's an amazing sport you know it's not watched as much maybe in the US but outside the US that is the motorsport and the way that they're changing the experience the way that they're able to assess what's happening with drivers and with cars and then predict what's actually happening and make the viewer feel like they're actually either in the cockpit or actually in the pit itself with it with the crew is it's really exciting and it's non err to be a partner so you do some events they'll get the cube they're these these big time again there's a tech angle now and everything it's a plug for you to be at the they have one event cloud demócrata you're hitting now new industries I mean this is the thing right I mean it's disrupting every industry I mean what aren't you disrupting I mean what areas do you see that yet aren't coming online to the cloud I don't see industry segments at this point that aren't moving to the cloud I would have told you 18 to 24 months ago that I felt like financial services was moving a lot more slowly than then I thought they should or you know probably healthcare also was a little bit slower but both of those industry segments are moving very aggressively well it's taking longer they're high-risk industries and the digital transformation has it occurred fast enough but it's coming and there's regulatory pieces that they legitimately have to sort through and you know we have just if you look at financial services as an example we have a pretty significant team that does nothing but work with our partners to help them with the regulatory bodies because what we find is when we go with a customer to a regulator and show them a real use case and then how it will be done in a DOP is the regulator says oh well that's more secure that you do on-premises and so it's just an education process and you know I think that's been helpful in it and I'll get final questions for you what have you observed here at reinvent Houston glad people talking so you get a lot of feedback actually to clopped two-part question because I was asked the final final question so I'll just get it out front what are people missing of all the announcements you've had a lot of signal in there a lot of a lot of announcements what are what is something that you've observed that you think should be amplified that people might have not overlooked but like you feel like it's more important to sign the light on we'll start with that one well you know it's a little hard for me to tell this moment just because there have been so many in such a short amount of time and and if we just look a little bit at the coverage it seems and if I take just as inputs they comments and and the questions from customers it's been pretty broadly understood and people are pretty excited and as I said different segments have kind of their favorite areas but I feel like people are pretty excited by the breadth of capabilities you know I think that if I pick two in particular I would say that people are still in the machine learning space people are blown away by how much we provided are all three layers of the stack I think people are still getting their heads around which layer of the stack am I gonna participate at you know I mean the one that probably has the most potential for most companies is that middle layer because most companies have gobs of data and there are jewels in that data and if you can enable their developers their everyday developers to be able to build models and get at the predictive value and add value that has huge impact for companies moving forward but most modern companies with technology functions will use all three layers of the stack and so just getting their arms around which layers of the stack they should take advantage of first and having the personnel to be able to do it and we're making that much easier with things like sage maker and then you know I think if you look at the blockchain space I think that that is just one of those spaces that has a huge amount of buzz people talk a lot about it exactly sure sometimes what they're gonna do but but I also think that a lot of people said to us that breaking those into those two real customer jobs to be done and then having a great solution that does each of those jobs really well is not only something that AWS does all the time that makes it easier for them but it also made it easier for a lot of them to understand that a lot of customers said to us you know that qld be that ledger database with a single trust of central authority for my supply chain that's what I need for my supply chain I don't need all the complexity of a blockchain framework and then there were a lot of other people said oh yeah that is what I want I wanted to decentralize trust between peers but I just needed a way easier way to manage hyper ledger fabric and etherium so I think those are two that people like are so interested and still figuring out how to use as expansively as I think they hope they will Andy thanks so much for your time and I want to just say watching you guys in the past six years has been a fun journey together but watching the execution you guys have done an amazing job of keeping your eye on the ball and being humble but being proud and loud at the same time so congratulations and you know guns blaring in 2019 what's your top pray all right besides listening to the customers what's your top 20 19 we know you listen to cut oh my gosh we have so many things that we're doing in 2019 but you know we have a lot of delivery in front and in front of us I mean as much as we launched 140 unique things over the last six to eight business days and yet I tell you to stay tuned the rest of 2018 we have more coming and then in nineteen you'll you should expect to see more few capabilities more database capabilities more machine learning capabilities more analytics capability look a lot I could spend all night John we don't need it we don't need a post reinvent post you know traumatic announcements syndrome because just to digest it all yeah it's a lot of work looking forward to seeing how enterprises continue to make to to kind of manage their hybrid approach as they're as they're making this trend transition from on-premises to the cloud how many continue to jump on to VMware cloud an AWS how many jump onto outpost so I think that that transition and helping customers do that easily is something on here of course we'll be commentating and pontificating on that for the next year thanks for your time I really should have me and I appreciate that you guys come at regular pay our pleasure okay winding down that's the last interview here wall to wall covers two cents 110 interviews in the books we'll have 500 video assets total blog post on Sylvia angle calm that's reinvent closing down 2018 thanks for watching [Music]
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Bill Schlough, San Francisco Giants | Mayfield50
>> From Sand Hill Road in the heart of Silicon Valley, it's theCUBE. Presenting, the People First Network, insights from entrepreneurs and tech leaders. >> Hello everyone I'm John Furrier with theCUBE, we are here in Sand Hill Road up at Mayfield Venture Capital Firm for their 50th anniversary, their People First Network series, produced with theCUBE and Mayfield, I'm John Furrier, with Bill Schlough, the Chief Information Officer of the San Francisco Giants, CUBE alumni, great to see you thanks for joining me today for this People First Series we're doing with Mayfield's 50th anniversary, thanks for coming in. >> Good to be here, John. >> So, been a while since we chatted, it's been a year, A lot's happening in tech, you can't go a year, that's like seven dog years in tech, lot happening, you're managing, as the CIO for the Giants, a lot of things going on in baseball, what's the priorities for you these days, obviously, you guys, great social, great fan experience, what's new for you, what's the priority? >> Man, there's always something new. It's what I love about it, this'll be my 20th season with the Giants comin' up. And, it never gets old, there's always new challenges. On the field, in the seats, off the field, you name it. As we look toward next year, really excited about bringin' in a new video board, which we haven't publicly announced, maybe I just did publicly announce, we're breaking news on theCUBE today. So we're puttin' in a new video board, it'll be over three times the size of the one we have today. That's big news, we're doing a lot of exciting things in the ticketing world. The ticketing world is really transforming right before our eyes in terms of the way fans buy tickets. It's changed a lot. Once up on a time you could call a game a sellout, and we sold out 530 straight games at AT&T Park, but really there's no such thing as a sellout anymore I mean, at any point you can get a great ticket, so we have to adapt to that and change the product that we're delivering to fans, so making some changes on the ticketing front, the fan experience, the ballpark with the video board, and another thing that's changing a lot is the way fans consume our game when they're not at the ballpark. It's rare that you're going to see somebody sit on a couch for three plus hours and watch a game continuously anymore. Fans are consuming through mobile devices, streaming, catching clips here and there, all different methods, and it's fun to be a part of that, because, fans still love the game, but they're just consuming it in different ways. >> Yeah, I love having chats with you on theCUBE because one of the things that have always been the same from nine years doing theCUBE is, the buzzword of consumerization of IT has been out there, overused, but you're living it, you have a consumer product, the ultimate consumer product, in Major League Baseball, and the Giants, great franchise, in a great city, in a great stadium, with a rabid fanbase, and they know tech, so you have all the elements of tech, but the expectation of consumers, and the experiences are changing all the time, you got to deliver on the expectations and introduce new experiences that become expectations, and this is the flywheel of innovation, and it's really hard, but I really respect what you guys are doing over there, and that's why I'm always curious, but, always, the question comes back to, is, can I get faster wifi in the stadium? (laughs) It's always the number one question >> It's funny that you ask that because it is AT&T Park, you know, so, honestly, we got to check that box, and we've had to for years, all the way back to when we first rolled it out, way back in 2004 when we first rolled out wifi in the park, people weren't asking for it then, people were coming to the ballpark with a laptop and plugging a card into it, and there were about a hundred of them that were accessing it, but today, what's interesting is, who knows what next, but we're not talkin' about wifi as much, wifi is just kind of, expected, you got to have it, like water. You're talkin' about 5G networks, and new ways to connect. Honestly, this past season, our wifi usage in terms of the number of fans that use wifi, what we call the take rate, the percentage of fans, was actually down 30% from the previous year. Not because we had less fans in the stadium, because this is the take rate, a percentage of fans in the stadium, went down, because AT&T made some massive investments in their cellular infrastructure at the ballpark, and if you're just connecting, and you got great bandwidth, you don't feel the need to switch over to wifi, so who knows what the future will hold? That's a great point, and you see the LTE networks have so much more power, it used to be you needed wifi to upload your photos, so you'd go in, log in, and if they auto login that's cool, but people don't need to. >> Not with photos, what they need it now for is when we see it really maxing out is events, like our Eagles concert, or Journey concert, or a really big game, like opening day, or honestly, Warriors playoffs game, 49ers football games, that's when folks are streamin' to video. For streamin' to video, they're still goin' to that wifi. Yeah, that's the proven method, plus they don't want to jack up their charges on the AT&T site, but I won't go there, Let's talk about innovat-- Most say unlimited, I will go there, most say unlimited these days. >> Really, I got to find that plan, my daughter's killin' me with her watchin' Netflix on LTE, I tell her. Innovation is changing, I want to get your thoughts on this, 'cause I know you're on the front end of a lot of innovations, you do a lot of advising here at Mayfield. The VC's always trying to read the tea leaves, you're living it, what's the innovation formula look like now for you 'cause as you're sittin' in your staff meetings, as you look at the team of people around you, you guys want to foster, you do foster, innovation culture. What's the formula, what do you guys do when you have those meetings, when everyone's sitting around the table sayin', what do we do next? "How do we create a better experience? "How can we get better fans, and better product "in their hands as fast as possible?" What's your strategy? >> You know, it's funny, people talk about the secret sauce for innovation, what's the formula? I would say, for us, it's really a symbiotic relationship with a lot of things, first of all, where we are, geographically, we've got folks like Mayfield, down the street, and many others, that we can talk to, that are, when innovation is happening, when the startups are incubating, they're being funded by these guys, a lot of times they are here, and our phones are ringing off the hook with a lot of folks so my formula for innovation is answer the phone and take the meetings, but, to be honest, that creates its own problems, because there's so many great ideas out there, if you try to do all of them, you're going to fail at all of them. You got to pick a very small few to try to experiment with, give it a shot, we just don't have the bandwidth, we only have 250 full-time staff on the business side. For us, geographically, you have to really be laser-focused and say okay, there are so many great ideas out here, which are the three or four that we're going to focus on this year, and really give it a try, that's really going to drive, propel our business forward, enhance our product on the field, whatever it might be, but I'll tell you where it really truly starts. It's from the top with our CEO. And, I've had a few different bosses over the years, but with the Giants, our CEO is singularly focused on all of us doing things folks have never done before regardless of what business unit you're in. Whether you're in ticketing, finance, marketing, sales, what drives him, and drives all of us, is innovation. And his eyes glaze over when I talk to him about cost-cutting, and his eyes can glaze over really fast. But when I talk to him about doing something no one's ever done before, that's when he sits forward in his chair, he gets engaged, and I just have a great boss, Larry Baer, he's been with us for 25 years wit the Giants, and he is the driver for it, he creates the culture from the top, where all of us, we want to impress him, and to impress him, you got to do sometin' nobody's ever done before, and what's even more interesting is there are some challenges and some changes talking place across our industry, as I said before, ticketing and other areas, and I've sat in meetings with him where somebody might raise their hand and say, "But this is happening across the industry, "so it's just a macro trend," and he'll get upset, be like, "I don't care about macro trends. "We are here in the Bay Area, "we're the San Francisco Giants, "we're going to do it our way." >> And so when you do it your way, he promotes risk-taking, so that's a great culture. What are some of the things you have tried that were risky, and/or risque, or maybe an experiment, that went well, and maybe ones that didn't go well, can you share some color commentary around that? >> Sure, over 20 years we've had some of all of those. I would say, I've had some real scary moments, our culture is collaborative, but I wouldn't call it combative, but we all have strong opinions, a lot of us have been there a long time, and we have strong opinions and so we'll battle, internally, a lot, but then once the battle is over, we'll all align behind the victory. Thinking back, one of the most stressful times for me at the ballpark was related to wifi, when we decided to take our antennas and put 'em under people's seats. No one had ever done that before, and there were two major concerns with that. One is, honestly are people going to get cancer from these antennas under their seats, it's never been done before, what's going to happen, and whether it's going to happen or not, what's the perception of our fans going to be, because, these are, the bread and butter is, the golden goose here, all the fans, so, yeah it's great that they're going to be, have faster connection here at AT&T Park, but if they think they're going to get cancer, they're going to cancel their season ticket plans, we got to problem. Number two is, we're taking away a little storage space also, under the seats, so it was very controversial internally, we did all of our research, we proved that having a wifi antennae under your seat is the equivalent to having a cell phone in your pocket, most people do that, so we're pretty safe there, and from the storage space perspective, honestly, it actually elevates your stuff, if somebody spills a Coke behind ya, it'll fall all around your purse, which is sitting on top of that wifi antenna so we came up with a good solution, but that was an example of something that was really controversial >> So beer goes on the antennae not your bag. (laughs) >> Exactly, your bag stays dry, we found a way to spin that but, there have been so many, I can go way back in time, back to the days when it was the PalmPilot that ruled the day instead of the apple >> Well you guys also did a good job on social media, I got to give you guys props, because, you're one of the first early adopters on making the fan experience very interactive. That was, at that time, not viewed as standard. Yeah, built the @Cafe at our ballpark, which is still there really to try to bring social media to the fans. >> I think you're the first ballpark to have a kale garden, too, I think. >> That's a little off topic, but yes, driven by one of our players, who's a big kale fan, yeah, the garden out in center field. >> So sustainibility's certainly important, okay, I got to ask the question around your role in the industry, because one of the things that's happening more and more in Major League Baseball and certainly as it crosses over to tech her at Mayfield Venture Capital, there's a lot of collaboration going on, and it's a very people-centric culture where, it used to be people would meet at conferences, or you'd do conference calls, now people are in touch in real time, so these networks are forming. It takes a village to create innovative products, whether you're inside the Giants, or outside in the ecosystem, how have you personally navigated that, and can you share some experiences to the folks watching, how you became successful working in an environment where it's collaborative inside the walls of the San Francisco Giants, but also outside? >> %100, the topic is near and dear to my heart, and from when I started with the Giants, that's what I love about our industry We compete on the field, and only on the field. When you look at who the Giants competitors are, from a business perspective, honestly the Dodgers are not a competitor from a business perspective. The A's are barely a competitor from a business perspective. We got a lot of competitors and very few of them are in our actual industry, so we collaborate all day, and it's been amazing, I can count on one hand, across all of sports, folks who have not been collaborative. There's a very small group of teams, your favorite team, the Boston Red Sox, are not on that list, they are very collaborative, but their arch rival, well there's a few others out there that may be less collaborative, but most of them are highly collaborative, from top down, and so, what I did from when I first started the first trip I made, was to Cleveland. And this was many years ago, Cleveland Indians had a reputation of being very progressive so I called up my counterpart there, I said, "I'm new to the industry, can I come out, "can I learn from you?" And that's where it started, and ever since, every year, we travel to two cities, I take at least four of my staff, to two cities each year and we meet with all the sports teams in those cities. This year, we went to Milwaukee and we met with the Brewers, and we did the Packers as well. Every year, over the 20 years we've visited pretty much every professional sports city, and we just go through it again, and always, red carpet, open door, and you build those face-to-face relationships, that you can pick up the phone and make the call, in a few weeks we're all going to get together in Denver at our MLB IT Summit, my job at the IT Summit every year is I host the golf classic, so I bring all the golfers, the hackers, the duffers out, and we have a great time on the golf course and build those relationships and again, the only thing that we don't really talk about that much is the technology we use to enhance the product on the field. Everything else is fair game. >> So share the business side, but the competitive advantage, where the battle's really having Dodger and Giants obviously on the field, highly competitive-- >> But what's cool about that is then I can meet with the other sports teams to talk about that, so I'll leave the teams nameless, but we've had some awesome collaborative discussions with NBA teams especially to talk about what they're doing to assess talent, and there's no competition there. >> So there's kind of rules of the road, kind of like baseball, unwritten rules. >> Right. >> So talk about the coolest thing that you guys have done this year, share something that you personally feel proud of, or fans love, what were some of the cool things this year that pops out for you? >> Sure, the technology that we invested in this year that I thought was a game-changer, we saw, we experimented with last season, but this year, we've been experimenting with VR and AR a little bit. But, a technology that we thought was really cool is called 4DReplay, it's a company out of Korea. And we saw them, we did an experiment with them, and then we implemented them for the full season this year and we've seen them at some other venues as well, the Warriors tried them at the Playoffs, but we had 'em full year and what we did was they put in about 120 cameras, spaced approximately five feet apart, between the bases. 120 of 'em, and they focus on the pitcher and the batter, so when you have a play, you can 3D, or 4D, 4D rotate around that play and watch the ball as it's moving off the bat, and get it from that full perspective, it's awesome for the fan experience, it gives them a perspective they never have, I love watching the picture, because you can see that hand, in full 4D glory pronating as it comes through on every pitch, if you can watch that hand carefully you can predict what kind of pitch it is, it's something that a fan has never had access to before, we did that for the first time this year. >> I had a new experience, obviously you see Statcast on TV now, a lot of this overlayed stuff happening, kind of creates like an esports vibe to the table. Esports is just coming. >> And it's just the beginning >> Your thoughts on esports, competitor, natural evolution, baseball's going to be involved in it, obviously, thing in the emerging technology's looking interesting, and the younger generation wants the hot, young... Sure, we feel like our game has been around a long time, and it still is, the rules haven't changed that much, but fans still enjoy it, but they just consume it differently and our game can be incredibly exciting in moments, but, there's also some gaps in there when you can build relationships. Some of the younger generation may fill those gaps with watching somethin' else, or two other things on their devices, but that's okay, we embrace that at the ballpark, but in terms of the emergence of esports, and the changing demographic of our fanbase, what we're trying to do is just package our game differently. One thing I'm really excited about, and startin' to see, we're in the early days, I consider with virtual reality, we experiment with it, maybe two or three years ago we've been doing some stuff with it, but I'd say it feels like we're in the second or third inning with virtual reality, where we're really going, and I've seen Intel doin' some of this stuff, I was out working with Intel in Pyeongchang, at the Olympics this past year, working with their PR team, and where it's going I can already visualize what this is going to be like, this concept of volumetric video. Where, it's not about having that courtside seat, in basketball, or that seat right behind home plate, it's about being wherever you want to be, anywhere in the action. And to me it's not about doin' it live, because in baseball, you don't know where the ball's going to go, it's about doin' it, replay, right after, okay, that ball was shot to Brandon Crawford, he made the most amazing diving play, picked it up, gunned it to first, where do you want to watch that from? Everybody's different, some people might want to watch it from right behind first base, some people might want to watch it right Brandon Crawford, behind the batter, with volumetric video and the future of VR, you'll be able to do that, and this esports generation, this fan's instant gratification want, unique experiences, that's what's going to deliver it. >> This is such an immersive environment, we're looking at this kind of volumetric things from Intel, and you got VR and AR, immersion, is a new definition, and it's not, I won't say putting pressure, it's evolving the business model, who would've thought that DraftKings and these companies would be around and be successful, that's gambling, okay, you now you got that, your VR so the business model's changing, I've been hearing even token and cryptocurrency, maybe baseball cards will be tokenized. So these are kind of new, crazy ideas that might be new fan experience and a business model for you guys. Your thoughts on those kind of wacky trends. >> That's why I love working with companies like Mayfield 'cause they're seeing the future before we see it, and I love being where we are, so we can talk to them, and learn about these companies. Another example, along those lines is, how are fans going to get to the ballpark five years from now, and how do we adapt to that because we're doing a major development right adjacent to the ballpark, we've got 4,000 parking spaces. Are we going to need those five years from now? Well we're going to build out that whole parking lot, we're going to put a structure in there. But five, ten years from now, we're building that structure so it can be adaptable, because, is anyone going to need to park? Is parking going to be like typing, you know on a typewriter, 10, 15 years now because everybody is in either self-driving cars, or ride shares, and the cars just, poof, go away, and they come back when you need 'em. >> Like I said, everything that's been invented's been on Star Trek except for the transporter room, but maybe they could transport to the game. >> We could use that in San Francisco. >> Bill, got to ask you about your role with Mayfield, because one of the things I've always been impressed with you is that you always have a taste for innovation, you're not afraid to put the toe in the water or jump in the deep end where the technology is, these guys are lookin' for some trends, too. How do you advise some of these guys, how do you work with Mayfield, what's the relationship, how are they to work with, what's the intersection between Mayfield and you? >> Well the one thing that Mayfield does is they put together a conference, each Summer, that I love comin' down to, and I get to meet a lot of my counterparts and we talked about meeting with my counterparts in sports, but I love meetin' with my counterparts across all industries, and Mayfield makes that possible, they bring us all together with some really interesting speakers on a variety of topics not all directly tech related, so it's a great opportunity for me to just get outside of the daily routine, get outside the box, open my mind, and I just have to drop down the road to do it. So that's an example, another thing is, Mayfield, and other firms will come to me, and just say, "Hey, here's a technology we're evaluating, "they think it would be a great fit in sports, "what do you think?" And so, I can give them some valuable feedback, on company's they're evaluating, companies will come to us, and I might throw them their way, so it's really a two way street >> Great relationship, so you're a sounding board for some ideas, you get to peek into the future, I mean, we've interviewed entrepreneurs, successful entrepreneurs here, it's a seven, eight year build out, so it's almost like an eight year peek into the future. >> Yeah, and it's super valuable, especially given where we are geographically and our inclination toward being on the leading edge. >> I want to just end the segment by sayin', thanks for comin' in, and I want you to show the ring there, 'cause I always, can't stop starin' at the hardware, you got the ring there, the world champion. >> It's a few years old at the moment, we're going to have to get a new one sometime soon. >> We got to work on that, so is there any cutting edge technology to help you evaluate the best player, who you lookin' at next year, what's goin' on? What's the trades goin' on, share us-- >> Are we off the record now, 'cause I have a feeling you're asking this for personal reasons, for your squad, so. >> I'm a Red Sox fan of the AL, obviously, moved here 20 years ago, big fan of the Giants, I love comin' to the games, you guys do a great job, fan experience is great, you guys do great job and I'm looking forward to seeing a great season. >> Thanks, yeah, hope springs eternal this time of year, we always block off October and expect to be busy, but when we have it back, it just gives us an opportunity to get a head start on everybody. >> Well Bill, thanks for coming in, Bill Schlough, CIO for the San Francisco Giants, here on Sand Hill Road talkin' about the 50th anniversary of Mayfield, and this is the People First Network, getting ideas from entrepreneurs, industry executives, and leaders. I'm John Furrier with theCUBE, thanks for watching. (electronic music)
SUMMARY :
From Sand Hill Road in the heart of the San Francisco Giants, CUBE alumni, On the field, in the seats, off the field, you name it. and you got great bandwidth, you don't feel the need on the AT&T site, but I won't go there, What's the formula, what do you guys do and take the meetings, but, to be honest, What are some of the things you have tried is the equivalent to having a cell phone in your pocket, So beer goes on the antennae I got to give you guys props, because, I think you're the first ballpark to have a kale garden, driven by one of our players, who's a big kale fan, and can you share some experiences the only thing that we don't really talk about that much so I'll leave the teams nameless, kind of like baseball, unwritten rules. Sure, the technology that we invested in this year I had a new experience, obviously you see Statcast and it still is, the rules haven't changed that much, and you got VR and AR, immersion, is a new definition, and they come back when you need 'em. been on Star Trek except for the transporter room, Bill, got to ask you about your role with Mayfield, and I just have to drop down the road to do it. you get to peek into the future, Yeah, and it's super valuable, 'cause I always, can't stop starin' at the hardware, It's a few years old at the moment, Are we off the record now, big fan of the Giants, I love comin' to the games, we always block off October and expect to be busy, here on Sand Hill Road talkin' about the 50th anniversary
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