>> theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Lisa Martin: Good afternoon everyone. theCUBE live in Barcelona, Spain at MWC23. Lisa Martin with Dave Nicholson. Day three of our wall-to-wall coverage of four days of CUBE content. I know, it's amazing. We're going to have a great conversation next with DISH and Dell, talking about the value of automation and telecom for 5G. Please welcome Song Toh, Senior Director of Product Management Infrastructure Automation at Dell. And Sidd Chenumolu, VP of Technology Development at DISH. Guys, great to have you on theCUBE. >> Thanks for having us. >> Thank you, it's a pleasure. >> So let's go ahead and start with you. We know that DISH is developing its own open cloud native 5G network from the ground up. Talk to us about before you were working with Dell, what the situation was like and why you brought Dell in to help drive the innovation. >> Ah, that's a good question. So, three years ago we started the journey, and one thing that was very clear to us is that we want to work with the partners who are going to be the leaders in this space. And it was very clear we are going to be in the cloud side- we are going to be in hybrid cloud, we are going to have our own data centers. Everything that we built is going to replicate a cloud model. 'Cause it was very, like we said, what is 5G? Fundamentally, if you think about 5G, right? Everyone says people talk about speeds. Okay, get it. But it's also about vertical industries. It's about customization of a network, application driven network. That's the way I call it, because if you walk around the floor right now, everyone's talking about monetization of 5G, everyone keeps doing enterprise. So you put two and two together, what do you get? That means you have to work with the leaders who have been serving enterprises forever, who know the enterprises' pain, they know all the problem statements. So we said, "okay, let's see who's out there and who can help us." And then obviously, Dell comes to the picture. So we had a good conversation, there was an alignment in where Dell wanted to go long-term, so we saw synergies. So we had a vision, we needed their help. They wanted to get into this space too. So there was an agreement, let's do it together. And it's been a good partnership since then. >> What were some of the challenges that you had at that time? Going, "we've got some challenges here, some risks, we want to move DISH forward and automate." Talk about some of those challenges that helped you understand, "Yeah, Dell's the right partner for this." >> Oh, first is when we started this, right? I'll be honest, I don't think we anticipated the complexity. We didn't know what we didn't know. So initially it was learning from Dell, who was more like teaching us, "this is what you're going to see, this is how it's going to look like". And then we started bringing the telco aspects on top of it. So it was not like, "I'm going to build a 5G". We said, "no, Dell, tell me what does the data center look like? Tell me the day-to-day challenges. How do you bring a server in? How the rack looks like, what are the connectivity?" So, learning, then you bring the telco as an application, it was not like a telco first. It was like a software first, infrastructure second, now you bring in the telco part of it. So, I mean, challenges I would say, right? Everything was new, pretty much across the board for us. It was not just one thing. We were doing Open RAN, which was a brand new cloud native, was completely new. 5G standalone was new. No one had done that before, and (mumbles) was hybrid cloud. So I think we were on a stool sitting on the, with the four legs, all were wobbly. (laughs) We made it. So, automation was definitely the key. We knew we had to go at a scale, because we are in FCC deployment, we are meeting like- we will be at covering 230 million pops by June of this year. So, aggressive timelines- >> Dave Nicholson: Wait, say that again. How many, so say that ag- how many? >> 230 million. >> And, pops being points of presence? >> No, sorry, population. U. S.- >> Oh, population. Okay, I'm sorry, I'm sorry. Okay, okay. >> Okay. I'm sorry, I'm- >> So, very aggressive buildout for us. >> Wow. >> And automation has to be the key for it, because we just cannot- first is, we cannot scale a company. We are a startup. This wireless is a startup. That's how we started with a handful of people. We obviously hired a lot of people since then, but we said, "we will never be at the scale of the existing CSPs today." We can't. Time is not on our side, and we don't want to be at that scale anyway, 'cause we want to be nimble, move fast. So what do you need? Automation. Automation at every layer. And it's a journey. Never stops. >> No, it doesn't stop. >> Oh yeah, I'm sorry. Yeah, she's- >> Go ahead and get a question in. I don't want to hog. >> So when most people hear DISH, they think of streaming content, they think of alternative to cable provider. >> Sidd: Yeah. >> In that space. But just clarify for us all of the things that DISH is involved with today, and what DISH aspires to be involved with as we move forward. >> Good question. We want to be in the connectivity space. We want to connect everything. That's our goal, our mission statement. We started with the satellite, since then we moved on to the IPTV Sling, which is a leader. So we are not afraid to take risks, right? So what we own- we own satellites, we know content delivery very well. I think we are done there for many years. We agreed to that. Now we said, "now we understand wireless". What we want to do is, we want to deliver the data to the customers, and whether it could be videos, it could be audio data, like voice, anything, or it could be a machine. We just want to be in the connectivity space of connecting everything, and based on- you look around, right? It's all about connectivity. Everything requires connectivity. It's all about data monetization, and we want to be there in every aspect of it. >> Connectivity is almost the lifeblood these days of everything that we do, right? >> Sidd: Yep. >> Song: Indeed. >> And of every industry. Song, talk a little bit about the DISH Wireless use case. How some of their challenges in telco really maybe helped even Dell accelerate its presence in telco. >> Absolutely, right. I think one thing that Sidd mentioned, right, 230 million populations, but what does that translate to in terms of infrastructure deployment? 'Cause he said it's a startup. They started from not a whole lot in terms of coverage. So, in terms of 5G deployment, whether it's virtualized or open RAN, there needs to be distributed infrastructure that covers the entire United States, right? A certain percentage of the population is still a huge amount of coverage. So deploy tens of thousands, hundreds of thousands of servers around the country, get them set up, get 'em configured, and maintain and monitor and meter all of that. We help DISH to essentially roll that out, get it going, and then they deploy their RAN workload on top. I mean, that's a very significant undertaking. We were very proud to be able to offer our Bare Metal Orchestrator to facilitate that, but ultimately their success is their success. We are there to help, right? We are partnered, and we- happy to definitely be able to say we got to a point that we are happy, you know, in claims of success there. >> Well, that's why we selected Dell. >> Thank you. (chuckles) >> Let's unpack a little bit of some of the successes, some of the outcomes that you've achieved so far, working with Dell. >> Let me give an example. Today we have an ability to upgrade, update, even swap a RAN vendor overnight. Entire market, unheard of overnight. Give me hours, I'll do the entire thing for you from scratch. We can instantiate entire data center racks remotely in a matter of minutes. Cannot do that without automation, and with the help- >> Lisa Martin: Couldn't do it before. >> We have curated an extraordinary, what you call orchestration mechanism of finely tuned data sets and pipelines. It's like a machine. It keeps spinning. It's very good. And again, not something that happened overnight. Took us several months to get there with a lot of our partners, and Dell was there. >> Song: Right. >> I'd be curious to get your perspectives, each of you, on some of the buzz that was going on around the show where the telecom, "plumbing providers"- >> Sidd: Yep. >> have complained about the content streaming through, and maybe they need to charge more for access, and Netflix hit back and said, "well, hold on a minute. You wouldn't have anything to deliver to your customers if it weren't for the content we are producing. Maybe we need licensing fees from you." >> Song: (chuckles) >> What is your view on that, in terms of this whole over the top conversation? DISH seems sort of, kind of in a hybrid position there. >> Well, it's a very complex question. I think everyone is struggling with it, so I'm not sure if I have the right answer for it. We are definitely unique because we own the content too. We want to offer- we probably may offer our own content over the wireless service. There is a pros and cons. I mean, purely from a, as a M&O service provider, it's a lot of effort and cost for us to deliver huge amount of bandwidth. But again, the networks are being built to handle huge capacity. So if you don't have video, what do we do? That's also a realistic question. I think there is a mechanism where the cost and the value both have to be shared. So that it's a win-win for everyone. It's not lopsided to one. And said, "you carry most of the cost", and I'm transparent, it doesn't work that way long term. And especially given the 5G side, with all the slicing capabilities and ability to offer QoS, better quality of experience, I think there's a value to be created here. >> If you look at the infrastructure necessary to drive all of these things- >> Right. >> We've seen, just go back to our own consumer experience with the internet. We've gone from text to images to video. >> Song: Right. >> To high definition video. >> Sidd: Yeah. >> To, is 8K video absurd? Do we really need to be able to handle that? What are the things that need to be supported as we move forward? Is it that we scale out into this world of billions and billions of things that are connected? Or are there these much bigger, fatter pipelines for things like 8K video or it a combination of the two? What is Dell thinking of when it thinks of the infrastructure that it builds and how you customize that- >> Song: Right. >> to address those things? What's on the horizon? >> Dave, I think that's a very good question, right? Certainly communication service providers like DISH has built out the capacity to handle the customers that they want to serve. But there's another aspect of this I think I'd like to add on top of the question you posed, it's not about say, 10, say a thousand streams of 8K. I would need to be able to handle that. I think the present challenge right now is really, say there's a sports stadium that you need to activate so that, not about everyone filming that sports game, it's about, "Hey, I got to tell my, whoever- I got a 10 seconds video clip that I got to share with my friends." It's also not about copyright. It's more about- >> Dave Nicholson: (laughs) >> can you as a provider- >> The NFL is listening. >> Exactly. Can you as a provider handle that service? Because otherwise your customers say, "oh, I got into the sports stadium, every time I could not even text my daughter." >> Dave Nicholson: Yeah. >> So, how do you then scale up the infrastructure as needed, the bandwidth as needed, and scale back down when it's not? Maybe, because the infrastructure can potentially be repurposed for a different workload too. That requires automation, right? From bottom to top, all the way, infrastructure - all the way up to the workload. And that's I think a question that people are starting to ask. I'm not sure. I mean, still you guys have thought about that too as a- >> I mean, instant gratification is the new thing, right? Everyone wants instant response, everyone feedback, everything. So connectivity is given. I do think there is a space for both billions of devices and the 8K and probably 16K in the future. It's going to happen in the technology walls. That's why I like, say, the 5G, and especially the way we architect our own network. We call it network of networks. I'm not designing a network that is only for one monolithic application or one stack only. We are actually programmable network, because I know network A is for 8K. Network B is for IOT, network C is for regular, network D is for something else. And the list can keeps on growing. I don't think we can stifle innovation at any level and said, "well you can't do this because we are not ready." World is going to move too fast. Technology is too fast for all of us. >> But do you have to prioritize? >> If there is a business for- it's all top-down driven, not much of a technology driven. If there's a business, someone said there's a value to be made, it's prioritized. >> What's your - Sidd, we'll stick with you, your observations. This is day three of MWC 23. Lot of talk here on disaggregation. A lot of talk about open RAN, a lot of talk about private 5G wireless networks, but also some controversy. You brought up the Netflix controversy. >> Dave: Yep. >> What are some of the messages that you've heard so far from this event - and then, Song, we'll ask you the same question - that excite you about the direction that the industry's going and where DISH Wireless stands within it? >> Yeah. I mean, I didn't have a chance to walk the floor, but for wherever I have been in the last two and a half days, one thing that stood out is people are no longer talking about gigabits capacity anymore. They're talking about monetization of the network. Everyone is talking APIs now. >> Lisa Martin: Yeah. >> That's the buzzword. If I said monetization, API- I got a beautiful network not tell me how to make money off it and how do I work with each other? It's no longer about "I want to own it all." What can I do to partner with A, partner with B? How can we all grow together? I think that's the theme that I see this year compared to the previous years, where it was always about like, "hey, build the best 5G network with the high speeds, big radios." I don't even see radios, by the way. >> Lisa Martin: (chuckles) >> Interesting. Yeah. So the actual, it's almost fascinating when you toil in obscurity to build these critical components and then people ignore you. So I feel for the radio people. >> Song: (laughs) Being a long-term infrastructure guy, what have you been seeing here that's interesting? >> Well, a few things that I feel quite excited about from the conversation I've had. One is, on the private mobility side, Lisa, as you said, I'm seeing certainly customers, partners, and even in the booth talking about what the use cases are, right? Rather than, "Hey, here's a cool technology." But actually, people talking about use cases now. And, with the communication service providers and the operators, I'm hearing - of course, I mean, Sidd's doesn't have that problem because it's building whole new, >> (chuckles) >> but there are other providers that are saying, "Hey, we acknowledge that we need to transform and we are on the way too", rather than saying, "can I not do it and still, you know, live with the modern world." So I feel that we always need to be ready to change, because the world, the market, and all other factors will cause us to either change or really to change. And I think we are changing. Open system is becoming more of a expected, you know, future. It's just how do we get there, right? What do we need to learn as we get there? And we're happy to provide the support as a partner, the automation technology, and even the solutions to enable that, from Dell's perspective. >> So DISH in particular? DISH Wireless. >> Yep. >> Despite the fact that everyone's heard of DISH. >> Song: Yeah. >> DISH has been around for a long time. Where you sit within DISH Wireless, you described it as a startup. You don't feel encumbered by a lot of the legacy things that maybe some other providers do. Is that a fair statement or are you having to navigate that? We call it ambidextrous management >> (laughs) >> in the CTO world, where it's like, got to keep the lights on, got to keep the existing revenue flowing, also got to innovate. How do you blend the two? Is that a challenge? >> Well, probably not a challenge for me. I'm on the wireless technology and architecture side, so I get to do the cool stuff. >> Dave Nicholson: Okay. >> Don't have to worry about day to day operations, some complexity or revenue. Someone else is managing that complex part. They let me play with my toys. >> Well played, well played. >> Guys, it's been great having you on the program talking about what DISH Wireless is doing with Dell. Thanks to Dell. We're going to be watching this space to see how you continue to innovate. Thank you so much for joining us on the program. >> Thanks for having us. >> Thank you. >> Our pleasure. >> For our guests and for Dave Nicholson. I'm Lisa Martin. You're watching theCUBE live from MWC 23. Stick around. Our next guest joins Dave and me in just a minute. (upbeat music) (upbeat music) (upbeat music)

>>The cube presents, Dell technologies world brought to you by Dell. >>No, that, that you guys. >>Hey, welcome back. Everyone. Live here on the floor in Las Vegas with Dell tech world 2022 cube coverage. I'm John for, with Dave Volante, Allison Ducey, chief marketing officer executive vice president of Dell technologies. Welcome back to the queue. Thanks for coming back on. Hey Allison. >>Hey. Hi guys. It's so good to see you. I am just so delighted to be on the cube and so delighted to see you both live and in person. >>So three years ago was the last physical event. A lot of virtual, a lot of, probably some scar tissue to share there, but give us the quick highlights here. The, the show format what's new, what's different. >>So I think one of the things I talked to my team about a lot is we've learned so much over the past couple of years. It's really important as we go forward to carry the best of what we've learned over the last two years, combined with the best of in person experiences that I know we all missed. So things that really people wanna do in person training, connection, the birds of the feather sessions and taking the technology and communications skills that we've developed over the last two years and making the event better as well. So, you know, Dave and I were talking about how do you extend the reach of the event beyond just three days? How do you engage with the global audience? Not all of whom are back to traveling all of the time. And so we think the impact of this event is the biggest and best that it's ever been. And it's not about going back to 2019. It's about the best of the last couple of years and the human connection. I think we've all been missing. >>So I remember last time here, here, we, we asked, we're coming up to state with Ashton Kucher and I told you about my man crush. And now you bring a on Matthew, which was an amazing interview. I mean, I don't really, no, I mean, I love his work, but wow. What a thoughtful and intelligent individual, and you obviously did a great job, you know, carrying that interview. So tremendous. I mean, you, you know him, right? He's like in your >>He's, he's an Austin Guy. He's really committed it to Austin. He's really committed to the university of Texas. We've done a number of things with him together. So we do know him and still, that was probably the most in depth conversation that we'd ever had with him. And it was so much >>Fun. Let me wait. So, okay. So I gotta make you laugh. So at the, after you were done, you said, okay, let's open it up for audience questions. Now I was really intimidated even though I to get up in front of the audience and ask questions, but I didn't know what to ask him. And I figured there'd be a long line of people asking the question. >>There was not. >>So I saw that and I'm like, I don't know what to ask 'em. So I texted my wife and my daughter who love 'em. They're like, all right. All right. And so my wife texted me a question, but it was too late. The, the session had ended. So I'm gonna ask you her question and ask you what, how you think he would've responded and we can >>Refine it. Okay. I'll give it a whirl. Your >>Question was, he's a big proponent of showing up. Okay. I didn't know this. You could ask him about if the definition for him of showing up has changed over time and how does he stay motivated to always show up? And I was like, wow, what a great question. >>That is a great question. And I will tell you as the interviewer, I think lots of people were sort of intimidated. One, one woman even said, this is making me nervous, but here's my question. So as the interviewer, I was looking out at the sea of nobody asking questions, doing scrambling in my head, trying to come up with some more questions, cuz I had already asked all my questions. So I wish you'd been able to get to the stage, uh, get to the mic and ask that question. But here's what I think he would've said. Who knows? Maybe he'll send me a note if I get it wrong. I think he would've said something along the lines of, it's always about being intentional about what's happening in your life at that moment. <affirmative> and so, as he thought about some there's an example he uses in his book. >>I don't remember the name of the movie where he kind of very early in his career where he kind of just winged it and he got to the set and he realized because he was, he thought he was getting over rehearsed. And so he thought I need to go back to the natural moment. And he realized the script was in Spanish and he said, I need six minutes. How is he gonna memorize script in six minutes in Spanish? And I think that was just an interesting example of when he realized that there's a synchronicity between being your natural self and being intentional and being really thoughtful about where you are and what you're doing at that moment. So I think that that intentionality spans his career. It's the moment of interest inspection about where you are in your life and doing brave things like leaving behind a safe, but no longer fulfilling romantic comedy career. So that's what I think he would've said. And >>Bringing that to the moment is where he gets his inspiration. >>I think so. Yeah. >>Yeah. So he's very impressive guy. I didn't read the book yet. It's green light is >>Green lights. Green lights >>Is able the book. So >>I recommend it and I didn't listen to it. I read it. I'm a reader, but I've had many, many, many people tell me that they listen to it. He narrates the book himself. So I think there's some benefit there because you get it truly in his voice. >>Yeah. That's always fun. Yeah. >>Speaking of in the moment, this event has got two things going on in the format you mentioned, but also the content. It is right on point. And a lot of the execs came in Michael and the COOs were both on the cube, interesting poll position you guys have for this. Now you got the marketing angle going on here. How do you throttle this next? What's next? How does it evolve? You got the content, you got the new format, Dell tech world plus digital now combined. What's next? >>I think, I mean, so obviously we are clearly in an inflection point in the technology industry and we've talked a lot about separating the hype from the reality of the day to day of what our customers are doing in their businesses and the problems they're trying to solve. But if you look at what makes us really, uh, I think special and unique is if the, the last number of years we've continued to show up and deliver for our customer tumors, we were there with them over the course of the pandemic. We helped them get their remote workforce up and running and now we're helping them lean into their data center challenges. And I think, for example, the snowflake announcement from earlier this week, this ability to have the best of both worlds and to have your data on premises whilst also benefiting from Snowflake's capabilities. I think that's just a good example of the kind of thing you'll see us do more of, and this intentionality that we're trying to bring to an incredibly complex and fragmented world. So that's what we're doing from a business. And then from a marketing perspective, I think it's just about this stretchy steady drumbeat. It's no longer one moment in time. It is all the moments in time while it's also keeping people's attention. Yeah. Not boring them to death with four hour keynotes. It's >>It's interesting. You know, we, we've been watching you guys for a long time, as you know, and it's interesting. You have such a big story. Now you have the story at the industry positioning of where it is for growth. You also got product innovation, right? Balancing the, the product innovation, which is still evolving. You got edges exploding, the snowflake deal with the new product use cases. There's still the need for the, the nerds, right. So to speak. And then you got the industry leadership, which is happening. So you've got balancing that. How do you thread that needle? How do you tie it all together? How what's, how do you think about that? What's your thought >>Of the things I think is at its simplest. It's not just about what we do. It's also about who we are as a company and you have to do both, right. We have to talk about where we're innovating in our products and our solutions. And it's also really important for us to tell the world who we are and how we show up in the world. And if you think about it, another one of the announcements from this week that I'm really proud of are our solar hubs. And that's a build off of the, uh, solar learning labs working with 25 communities around the world, underserved in terms of access to technology. And so it's, you have to do both sometimes I think in the past we've been just talking about our products cuz we're engineers at heart. And we're proud of that and not talking enough about who we are. I think some companies talk too much about who they are and you're like, well, what do you do exactly? So, you know, the question always is how do you do that? And so there's a believability gap. What we're always striving for is that combination of what we do, who we are. >>So you know, that what we do is really important and there's obviously a lot of very difficult and contentious social issues. Yes. And, and kind of a of follow up there is, is, you know, what's your philosophy on how to handle those? It's presumably what you do, not what you, you say. I mean, you gotta say things as well, and they're gonna be more, you know, we're hearing about it, reading about it, others that are gonna be down the road, how what's your philosophy on how to handle those? >>The first thing is we try to be really thoughtful about what conversations or actually relevant to us. One of the things I watch many companies do is comment on anything, anything, and everything. They sort of run into the fray of the moment and they over comment. And frankly, then I think they don't stand for anything because they're constantly chasing a press cycle, which is pretty vicious and pretty short lived. So we don't think that that serves us. What we do is we look at almost every issue you can imagine. And ahead of time, ahead of time, have the conversation about where are we going to engage? What are the issues that we stand for? And we've got much more intentional, even on our ESG and CSR front, around taking our moonshot goals and making them more practical so that we can be really thoughtful and intentional. Because as you know, at the moment of time, when a crisis hits you, haven't done that work ahead of time. You're probably responding. And you can see that sometimes without naming any names, because everybody knows some of these players are without my even having to say it, someone responding or flip flopping it's cuz they haven't thought about it ahead of time. >>Yeah. And a lot of that comes from the top and the CEO won't stop on Twitter. But so that to me ties in. Yeah. So it ties into the concept of trust. Going back to some of the keynote messages that we heard from Michael you've earned trust in a lot of ways you were there during the pandemic, you know, your products work, et cetera, et cetera, but the way in which you act builds trust doesn't it. And that we've in, I think came across in, in the keynotes. Why such a big theme on trust? I mean you see apple with privacy, doing certain things really doubling down on trust. Can you talk about that? >>I mean, I think it's because it is core to who we are and if you look at the hype cycle around technology, the hype cycle, around companies who can have kind of a moment in the sun and then you find out actually that their business practices weren't very good or they weren't really delivering on the innovation that they were claiming. So they were probably overclaiming at times it has always been core to who we are. What I think we're doing now is just being much more intentional about how important it is to show up that way. That's why I come back to, it's not just what we do, it's who we are and that's why customers choose us. And you hear some of the customer case studies like U S a a like CVS that we use a lot at the moment in time where they needed help managing through the pandemic. We delivered with a consistency that not everybody could provide. And I think provides us the room and the space to really lean into this trust conversation. I >>Love, I love the high level flag. You guys are flying at ESG stores. You're getting in immersed in issues that you're solving for yourselves. So you can understand them and have good positions, but also on digital. Now you have other ways to drive the business. We just started a discord server week before for Dell tech world and already got 8,000 members. And the only thing they really care about about Dell tech world here is what's the monitors, where's the speeds and speeds. Right? They want the speeds and these they're gamers, right? So there's omnichannels everywhere. Right? You have, that's hard, right? So is it a top down? Let, let things fly. Is there intentionality around execution to drive business value? >>I think that, I mean, one of the things that I would say for the company and for its leadership for me personally, is we're generally pretty intentional about most things that we do. I always have an expression that I, I, I don't like to reward a Smith fireman. If the building is on fire, I'm gonna ask you, why is the building on fire? Not, you know, I'll say, are you okay? But then I'll say, why is the building on fire? So the reason I use that analogy is we are pretty intentional about most things that we do. And then you also have to re leave room for innovation because it is a completely different product experience to build an alien where than it is to build server. And yet there's certain standards around how we think about our commitment to environmental goals and sustainability that's consistent. Yeah. So that's the balance that we're always looking for, >>You know, in the isolation economy, we, we learned that we didn't know what was coming next. Yeah. And now in the post isolation economy, we, we learned, you referenced this. We're not going back to 29 team, a rinse and repeat of of 2019 is not gonna work. So I know it's early. You haven't really had much time to think about it, but what have you learned from this event? We were surprised by how many people showed up. What else? >>I was a little surprised by how many people showed up in the fi. And we got a lot of people show up in the final register in the final week or so. I mean, one of the things I think we knew this, but I think we had to learn it a little bit. The hard way. Yeah. Was maybe you don't need four days of two hour keynotes, you know, maybe, maybe people can't absorb that much information. And so I think we've gotten a lot tighter on our messaging and delivering of the keynotes and then allowing people, the space to engage in other that are really important to them, like their own training. They, a lot of people come to this, this event for their own professional development. We should be proud of that and celebrate it. And one of the expressions I use a lot is let's get our inner geek back and provide people the opportunity to do that. And even with our own employees, one of the things that we've seen is just how happy they are to see each our, so leave space for that. >>The face to face matters. It's really valuable in some say, it's the scarce resource now. Yeah. And the digitals augmentation, what have you learned as the standards are, ER, there's no standards they're emerging in real time. What what's popping out as go to, that's gonna evolve as de facto standard digital event kind of hybrid. I >>Think I, I think the short and easy answer is that hybrid Brit evolves as the standard. I don't think anybody sort of like the cloud. Um, I don't think anybody is questioning that you can have the best of both. I think, um, you know, if I taking it out of the realm of events, we are very committed to a hybrid work environment. Just as an example. And this conversation about many companies say you can have flexibility as long as you're here on Tuesday. Well, that's not actually flexibility. That's just pretend flexibility. And so being intentional about, you know, you obviously have to have the conversation with your leader, but we, we are saying, figure out what works for you and work that way. And the reason I went, I took it from events to that example is because that's just one of the many examples of how we're all trying to figure it out. And it's intentionality, it's honesty, it's trust, you know, maybe your job is something that needs to be in person. Great. Then go do it in person. Maybe it's not then don't but have the conversation. So that's, that's how the conversation is sort of >>Maybe it event native, which is the old model. Yeah. Yeah. Hybrid events is there multi-event Daves club super event, >>Multi, multi hybrid events. >><laugh> >>And there actually we do take this show on the road with the Dell tech forum. So it is multi hybrid event. >>By the way you mentioned the team, how excited the team was. I thought it was a great touch at the end of the, of day one keynote to bring all the team members out. That was a really powerful moment, >>You know, to be honest, I loved it when I saw it on paper, I thought this could either be great or so cheesy. I'll be like climbing under my tour and I loved it. And, but even that was a risk where I thought that's fine. Try it. And if it, if it doesn't work, like it's fine, >>Go bigger, go home if they >>Exactly. So I think you see us trying to lean into those moments a little bit more and be willing to take that risk and see what happens. >>Allison always great to have you on the cube. I love your insight. Love your perspective. Final question for you. What are you into these days? What are you watching personally in the industry or in, in your life as we evolve into this next chapter of the generational of the cultural shift? >>I mean the biggest thing that I'm really thinking about is this question of hybrid work and what does it mean to build connection with our employees, with our customers, with our partners, with our broader ecosystem, whilst also having the freedom and flexibility that the last two years have brought us. I mean, I think you guys know, I, I have an odd personal life. I kind little bit of a digital Noma myself and you know, I, in a let's >>Extend the segment, let's >>Go down and in years for past I would not, um, have been able to maintain my life and my job. And that's the power of technology. You just have to look for the downside, which is maybe people need more connection too. So that's an unanswered question. >>Yeah. I knew fabrics are more urging my minds. Very clear. Yeah. Allison, great to have you on again. Pleasure having, Thanks for having us here in the queue. We really >>Appreciate it. We always love having you at Dell tech world. And it's great to see you personally. Thanks >>Executive vice president CMO Dell technologies here in the queue. I'm John for Dave LAN. We'll be right back with more after this break.

>>The cube presents, Dell technologies world brought to you by Dell. >>Hello. Welcome to the cube here at Dell tech world. I'm John furry host of the cube with Dave Alon here with Michael Dell, the CEO of Dell technologies cube alumni comes on every year. We have the cube here. It's been two years. Michael, welcome to the cube. Get to see you. >>Hey, John, Dave, great to be with you guys. Thanks for being here. Wonderful to be back here in Vegas with >>You. Well, great to be in person two years ago, we had the cue with the pandemic a lot's happened. We were talking end to end solutions here at Dell tech world in person two years ago, pandemic hits. Thank God you had all that supply for the, for the people having the remote remote end to work now back in person. What's it look like now with, with Dell tech end to end, the edge is important. What's the story, >>You know, edge is, is the physical world. And if you, if you step back from clouds and, you know, multi-cloud, you sort of think about what is the purpose of a cloud or a data center? Well, it's to take data out of the physical world and move it to this place, to somehow enhance it or do something with it and create business value and hopefully create better outcomes. Well, it turns out that, you know, increasingly a lot of that data is gonna stay in the physical world and all of those nodes are gonna be connected. They're gonna be intelligent and we're seeing it in manufacturing and retail and healthcare, transportation, logistics. We're seeing this rapidly intelligent edge being formed. And then of course, with the new networks, the 5g we're seeing, you know, all, all this develop. And so here on the show floor, we're showing a lot of those solutions, but our customers are, are highly engaged. And certainly we think that's a, a big, a big growth factor for the next decade. >>And it's been ING to watch the transformation of the it world and cloudification and the as service, uh, consumption model, which you guys are putting out there has been very successful, but cloud operations is more prominent now on premises and edge and cloud. So the combination of cloud on-premise and edge hardware matters more now than ever before Silicon advances, um, abstraction layers from modern cloud native applications are what people are focused on. What's the story that you cite to the CIOs saying, we're here to help you with that new architecture cloud multi-cloud on premise and edge. What's the main story for you guys with the customers? >>Well, you know, customers want to go faster, right? And they want to accelerate their transformation. And so they wanna shift more resources over to developers, to applications, to access their data, to create competitive advantage. And so we talk a lot about the value line and what are those things below the value line, where we can provide that as a service on a consumption based model and accelerate their transformation, kind of, you know, do for them what we've done inside our own business. And, you know, it's absolutely resonating. We're seeing great growth there. People continue to, to need the solutions, but as we can automate the management and deployment of infrastructure and make it super easy, it gives them a lot of cycles back. >>You know, Michael, my, the favorite part, my favorite part of your book was you were in, I think you were in his, in his home court, in his dining room at Carl Icahn's house. And you said, well, why don't you just buy the company? And then you'll do what you're doing. I I'll buy it back for cheaper. Now, thankfully, you didn't have to do that. Cuz you had an environment of low interest rates and you obviously took it into the other direction, added tremendous value, 101 billion in revenue last year, 17% revenue growth, which was out astounding. When you think about that, um, now we're entering a new chapter with VMware untethered of course you're the chairman of both companies. So how should we think about the new Dell what's next? >>Well, so look, we, we have some unbelievable core businesses, right? We have our client system business and we've all learned during these last two years, how incredibly important it is to enable and empower your workforce with the right tools in the remote and high hybrid work. And we're showing off all kinds of new innovations here. That's a huge business force continues to grow, continues to be super important. Then we have our ISG, the cloud data center, the network of the future, the edge, you know, the, the sort of epicenter of where we're embracing, consumption based business models. That's absolutely huge. Then we have these new, new businesses that we're building with telco with edge, put it all together. It's a 1.3 trillion Tam that we operate in, as you said, more than a hundred billion dollars last year. So there's plenty of room for us to continue to grow and, and expand. And you know, as we make this shift to outcomes, it's obviously more valuable for customers and that, you know, increases our opportunity, increases the, the value we can create for all our stakeholders. >>And number one, number one, share in PCs, by the way, congratulations, again, hit that milestone. All of our gamer, uh, fans in our discord want to know what's the hottest chips coming. What's the fastest machines. What, how's the monitors coming? They want faster, cheaper. What's the coolest, uh, monitors out there right now and, and machines. >>Well, uh, you know, what what's, what's amazing is the, the pace of innovation continues to improve. So whether it's in the GPU, the CPU, the, the resolution, I I'm pretty partial to our 41, uh, display 11 million pixels of fun. And look, I mean, we, we it's, it's, it's clear that people are more productive when they have large screens and all the performance is enabling photo realistic, uh, you know, uh, gaming and photo realistic, everything. And these are immersive experiences. And, you know, again, uh, what companies have figured out to bring it back to, to, to a little bit of business here, John, is that when you, uh, give people the right tools, they're more productive, they're more engaged and look, people are smart. They know what tools are available. And, you know, uh, the thing that actually is most representative of how a person thinks about the tools they have at their organization is actually the thing that's right in front of 'em. And so, you know, this ability for us to provide a pool set of solutions for organizations to keep their workforce productive, to run their applications and infrastructure securely anywhere they want. That's, that's a winning proposition. >>Michael trust was a big theme of your keynote yesterday. And when you acquired EMC and got VMware, it really changed the dynamic with regard to your ability to, into new parts of organizations. You became a much more strategic supplier. I, I would argue. And now with VMware as a separate company, do you feel like you have built up over the, you know, five or whatever years that muscle memory you kinda earn that trust. So how do you see the customer relationship with that regard to that integration that they, they loved the eco. So system competitors might not have loved it so much, but the customers really did love. In fact, the, the U S a, a gentleman yesterday kind of mentioned that, how do you see it? >>You know, customers, uh, are not as interested in the balance sheet and what you know, where different holdings are, what they, they want things to work together, right? And they want partnerships in ecosystems. And certainly, you know, with VMware, even before the combination, we had a powerful partnership. It obviously solidified in a super special way. And now we have this first and best relationship and I've remained the chairman of VMware and super excited about their future. But our ecosystem is incredibly broad. And you see that here in this show floor, and again, making things work together better and more effectively building these engineered solutions that allow people to very quickly deploy the kind of capabilities they want, whether it's, you know, snowflake now working with the on premise and the edge data and more of these, you know, multi-cloud, uh, eco of systems that are being built. It's not gonna be just one company >>You called the edge a couple years ago. You're really prominent in your, in your speeches. And your keynotes data also is a big theme. You mentioned data now, data engineering seems to be the hottest track of, of, of students graduating with data engineering skills, not data science, data engineering, large scale data as code concepts. So what's your vision now with data, how's that fitting into the solutions and the role of data, obviously data protection with cybersecurity data as code is becoming really part of that next big thing. >>Yeah. I mean, if, if you look at anything that is interesting in the world today, uh, at the center of it is data, right? Whether it's the blockchain or the defi or the AI drug discovery, or the autonomous vehicles or whatever you wanna do, there's data in, in, in the middle of that. And of course with that data, well, you've gotta manage it. You, you need compute engines, right? You need to be able to protect it, secure it. And, you know, that's kind of what we do, and we're not going to create all those solutions, but we are gonna be an enabling layer to allow that data to be accessed no matter, you know, where, where it is. And, and, and of course, you know, leading in storage continues to be a super important part of our business. Number one, larger than number two than number three, number four, combined, and, and most of number five as well, and, and growing share. And, and you saw today, the software defined innovations, allowing that, you know, data layer to exist across the edge, the colos, the OnPrem, and the public clouds >>Throughout a stat yesterday. I can't remember if it was a keynote of the analyst round table, but it was 9 million cell towers. And if I heard, right, you kinda look at those as potential data centers talk about that's >>Right. It it's actually 7 million, but, but probably will be 9 million and not, not too long, I don't have the update, but so yeah, the public clouds all together is about 600 data centers. They're about 7 million cellular base stations in the world. Every single one of those is becoming a, you know, multi access, edge compute node. And what are they putting in there? They're putting many data centers of compute and GPS and storage. And, you know, 5g is not about, uh, connecting people that was 4g and before 5g is about connecting things. And there are way more things than there are people, right? And, uh, you know, this, this, this edge is, is rapidly developing. You'll also have private 5g and you'll have, you know, again, embedded intelligence I believe is gonna be in everything this next decade is going to be about that intelligent, connected future, taking that data, turning it into useful outsides in insights and outcomes. And, you know, lots of new businesses will be existing. Businesses will be transformed and also disrupted. >>Yeah. I mean, I think that's so right on and not to pat ourselves on the back day, but we called that edge distributed computing a couple years ago on the cube. And that's, what's turning into the home with COVID you saw that become a workplace, basically compute center, these compute nodes, tying it together as we, what everyone's talking about right now. So as customers say, okay, I want to keep my operations steady, steady, and secure. How do I glue it together? How do I bring these compute node together? That seems to be the top question on, on top of people's minds. And they want it to be cloud native, which means they want it to run cloud-like and they want to connect these compute node together. That's a big discussion point. What's your view on, >>Well, you know, if you, if you sort of have a, a cloud here, a cloud there cloud everywhere, and you, you know, have lots of different Kubernetes frameworks, uh, and you've got, you know, everything is, is spread out, it's a disaster, right? And, and, and it's, it's a, it's a, it's a real challenge to manage all that. So what people are trying to do is create ruthless standardization. It's like, how do you drive cost out and get speed? It's ruthless standardization create consistent environments where you can operate the across all the different domains that, that you want. And so, uh, you know, this is what we're bringing together in, in, in the capabilities that we're delivering. >>And that chaos is great opportunity for you. Um, how are you feeling about VMware these days, new team, uh, give us the update there. >>Yeah. The team is doing well. You know, I think the tons message is resonating. You know, people want Kubernetes and, and, and container based apps, for sure. That's the main, you know, growth in, in, in, in, in new, in new workloads. Uh, but they also want it to work with what they have. Yeah. And they don't want it to be locked into one particular infrastructure. So software finding everything, making it run in all the public clouds, you know, we've had a great success with VxRail, you know, that, that absolutely continues. We have, uh, 200,000 plus nodes, 15,000 customers and growing, we have edge satellite nodes and we continue to work together in SD wan in software defined networking in VMware cloud foundation, uh, you know, expressed, uh, in, in, in all locations. >>You know, one of the things that we've been seeing with the trend towards, um, future of work, which is a big theme, here is a lot of managed services are popping up where the complexity is so ha high that customers want to manage services. Uh, and also the workforce of it's kind of changing. You got a younger generation coming in, how do you see that future of the workforce? The next level? It's not gonna be like, yesterday's it, it's gonna be distributed computing dashboard based. And then you've got these managed services, you know, need to have the training and expertise maybe to run something at scale. How do, how do you see that connecting? Cuz that seems to be another big trend people are talking about, Hey, it's complex someone manage it for me. And I want ease of views. I want the easy button in it. >>Yeah. Well we we've all been at this a while. So we can remember, you know, the beginnings of converged infrastructure and then hyperconverged, which wasn't that long go. And now we have consumption based business models. These are all along the trajectory of the easy button that you're talking about and customers really thinking about the value line, where are the things that really differentiate and add value for their business. And it's not below the value line in those infrastructure areas are creating that easy button with appliances, with consumption based models and allowing them to deploy the scarce resources. They have to the things that really drive their unique differe. And you know, if you look at our managed services flex on demand, all the sort of ancestors and predecessors of apex, those have been great businesses for us. And now with apex, we're kind of industrializing this and, and making it, you know, at scale for all >>Customers, you know, the three of us, we go back, we, we, our first interactions with you separately, we're in the nine. And then we reconnected in the 2012. I think it was Tarkin Mayer had a little breakout session with CIOs. You brought us to early on a Dell tech world in Austin. And of course it was, >>It was just Dell world. Then Dell >>Four, we had Dell tech, you and then EMC world in 2010 was our first cube. And now that's all come together here in Las Vegas. So, you know, it's been great. Uh, the three of us come together and so really appreciate that. Yeah. >>Awesome. Absolutely awesome. >>Well, you know, really appreciate you guys being here, the wonderful work you do in thank you in, you know, bringing out the, the, the stories and, and showing off and helping us show off the innovations that, you know, our team has been working on. You know, during the past year >>It's been great in conversations and, and on a personal note, it's been great to have, uh, chat with all the top people and your company. Appreciate it. Um, someone told me to ask you this question, I want to ask you, you, we've all seen waves of innovation cycles up and down. We're kind of on one. Now you're seeing an inflection point, this next gen, uh, computing and, and web three cultural shit F with workforces and distributed computing decentralization. You mentioned that DFI earlier, how do you see this wave coming? Cause we've seen cycles come and go.com. Bubble kind of looks the same as the web three NFTs and stuff. Now it seems to be Look different, but how do you see this next wave? Cuz looking back on all the other ones that you you have lived through and you rode >>Well. So, you know, the, the way I see it is is, uh, to some extent, these are like foundational layers that have to be built for the next phase to occur. And if you look at the sort of new companies that are being founded today, and we see a lot of those, you, you, you, you see'em, we invest in a bunch of 'em, you know, they're, they're not going and, and kind of redoing the old foundational layers, they're going deeply into vertical businesses and, and disrupting and adding value on top of those. And I think that's, that's really the, the point of, of technology, right? It's enabling human progress us in, in all fields, it's making us healthier. It's making us safer. It's making us more successful in everything that, that we as humans do. And so all these layers of technology are enabling further progress and I think it's absolutely gonna continue. It's all been super exciting. Yeah. You know, so far for the first several decades, but as I, as I believe it, it's, it's just a pre-game show. >>And it's clear your strategy is, is, is really building that foundation of a layer, hardening it, but making it flexible enough, anybody read your book, you're a technology, visionary. A lot of people put you in a, you know, finance bucket, but you can, you can see that you can connect the dots. And that's what you're doing with your foundation of layers. You that's where you're making the bets, isn't it? Uh, you don't can't predict the future. You've said that many times, but you can sort of see where it's going and be prepared for >>It. Well, you, you, you know, you think about any company in, in the industry or any public sector organization, right? Uh, they're, they're, they're wanting to evolve more quickly and transform more quick, more quickly. Right. And we can give them an infrastructure or set of tools, a set of capabilities to help them go faster. >>Yeah. And the other one thing in the eighties, when you started Dell and we were in college, there was no open source really then if look at the growth of open source, talk about those layers, open source, better Silicon GPS, faster, cheap >>More now and now we even have, uh, open source instruction sets for processors. So I mean the whole world's changing. It's exciting. You have people around the world working together. I mean, when you see our development teams, uh, whether they're in Israel or Ireland or Bangalore or Singapore, Hopton Austin, Silicon valley, you know, Taiwan, they're, they're all, they're all collaborating together and, you know, driving, driving innovation and, and, and our business is not that dissimilar from our customers >>Like great to have you in the queue. Great. To have a physical event. People are excited. I'm talking to people, Hey, haven't been back in Vegas in two years. Thanks for having this event. Great to see you. Thanks for coming on the cube. >>Absolutely. Thank you guys. >>Michael Dell here in the cube CEO of Dell technologies. I'm John far, Dave Volante. We'll be right back, more live coverage here at Dell tech world.

>>Hello, everyone. Welcome to the cubes presentation of the 80 minutes startup showcase. Season two, episode two, the theme is data as code, the future of analytics. I'm John furry, your host. We had a great day lineup for you. Fast growing startups, great lineup of companies, founders, and stories around data as code. And we're going to kick it off here with our opening keynote with Rahul Pathak VP of analytics at AWS cube alumni. Right? We'll thank you for coming on and being the opening keynote for this awesome event. >>Yeah. And it's great to see you, and it's great to be part of this event, uh, excited to, um, to help showcase some of the great innovation that startups are doing on top of AWS. >>Yeah. We last spoke at AWS reinvent and, uh, a lot's happened there, service loss of serverless as the center of the, of the action, but all these start-ups rock set Dremio Cribble monks next Liccardo, a HANA imply all doing great stuff. Data as code has a lot of traction. So a lot of still momentum going on in the marketplace. Uh, pretty exciting. >>No, it's, uh, it's awesome. I mean, I think there's so much innovation happening and you know, the, the wonderful part of working with data is that the demand for services and products that help customers drive insight from data is just skyrocketing and has no sign of no sign of slowing down. And so it's a great time to be in the data business. >>It's interesting to see the theme of the show getting traction, because you start to see data being treated almost like how developers write software, taking things out of branches, working on them, putting them back in, uh, machine learnings, uh, getting iterated on you, seeing more models, being trained differently with better insights, action ones that all kind of like working like code. And this is a whole nother way. People are reinventing their businesses. This has been a big, huge wave. What's your reaction to that? >>Uh, I think it's spot on, I mean, I think the idea of data's code and bringing some of the repeatability of processes from software development into how people built it, applications is absolutely fundamental and especially so in machine learning where you need to think about the explainability of a model, what version of the world was it trained on? When you build a better model, you need to be able to explain and reproduce it. So I think your insights are spot on and these ideas are showing up in all stages of the data work flow from ingestion to analytics to I'm out >>This next way is about modernization and going to the next level with cloud-scale. Uh, thank you so much for coming on and being the keynote presenter here for this great event. Um, I'll let you take it away. Reinventing businesses, uh, with ads analytics, right? We'll take it away. >>Okay, perfect. Well, folks, we're going to talk about, uh, um, reinventing your business with, uh, data. And if you think about it, the first wave of reinvention was really driven by the cloud. As customers were able to really transform how they thought about technology and that's well on her way. Although if you stop and think about it, I think we're only about five to 10% of the way done in terms of it span being on the cloud. So lots of work to do there, but we're seeing another wave of reinvention, which is companies reinventing their businesses with data and really using data to transform what they're doing to look for new opportunities and look for ways to operate more efficiently. And I think the past couple of years of the pandemic, it really only accelerated that trend. And so what we're seeing is, uh, you know, it's really about the survival of the most informed folks for the best data are able to react more quickly to what's happening. >>Uh, we've seen customers being able to scale up if they're in, say the delivery business or scale down, if they were in the travel business at the beginning of all of this, and then using data to be able to find new opportunities and new ways to serve customers. And so it's really foundational and we're seeing this across the board. And so, um, you know, it's great to see the innovation that's happening to help customers make sense of all of this. And our customers are really looking at ways to put data to work. It's about making better decisions, finding new efficiencies and really finding new opportunities to succeed and scale. And, um, you know, when it comes to, uh, good examples of this FINRA is a great one. You may not have heard of them, but that the U S equities regulators, all trading that happens in equities, they keep track of they're look at about 250 billion records per day. >>Uh, the examiner, I was only EMR, which is our spark and Hadoop service, and they're processing 20 terabytes of data running across tens of thousands of nodes. And they're looking for fraud and bad actors in the market. So, um, you know, huge, uh, transformation journey for FINRA over the years of customer I've gotten to work with personally since really 2013 onward. So it's been amazing to see their journey, uh, Pinterest, not a great customer. I'm sure everyone's familiar with, but, um, you know, they're about visual search and discovery and commerce, and, um, they're able to scale their daily lot searches, um, really a factor of three X or more, uh, drive down their costs. And they're using the Amazon Opus search service. And really what we're trying to do at AWS is give our customers the most comprehensive set of services for the end-to-end journey around, uh, data from ingestion to analytics and machine learning. And we will want to provide a comprehensive set of capabilities for ingestion, cataloging analytics, and then machine learning. And all of these are things that our partners and the startups that are run on us have available to them to build on as they build and deliver value for their customers. >>And, you know, the way we think about this is we want customers to be able to modernize what they're doing and their infrastructure. And we provide services for that. It's about unifying data, wherever it lives, connecting it. So the customers can build a complete picture of their customers and business. And then it's about innovation and really using machine learning to bring all of this unified data, to bear on driving new innovation and new opportunities for customers. And what we're trying to do AWS is really provide a scalable and secure cloud platform that customers and partners can build on a unifying is about connecting data. And it's also about providing well-governed access to data. So one of the big trends that we see is customers looking for the ability to make self-service data available to that customer there and use. And the key to that is good foundational governance. >>Once you can define good access controls, you then are more comfortable setting data free. And, um, uh, the other part of it is, uh, data lakes play a huge role because you need to be able to think about structured and unstructured data. In fact, about 80% of the data being generated today, uh, is unstructured. And you want to be able to connect data that's in data lakes with data that's in purpose-built data stores, whether that's databases on AWS databases, outside SAS products, uh, as well as things like data warehouses and machine learning systems, but really connecting data as key. Uh, and then, uh, innovation, uh, how can we bring to bear? And we imagine all processes with new technologies like AI and machine learning, and AI is also key to unlocking a lot of the value that's in unstructured data. If you can figure out what's in an imagine the sentiment of audio and do that in real-time that lets you then personalize and dynamically tailor experiences, all of which are super important to getting an edge, um, in, uh, in the modern marketplace. And so at AWS, we, when we think about connecting the dots across sources of data, allowing customers to use data, lakes, databases, analytics, and machine learning, we want to provide a common catalog and governance and then use these to help drive new experiences for customers and their apps and their devices. And then this, you know, in an ideal world, we'll create a closed loop. So you create a new experience. You observe our customers interact with it, that generates more data, which is a data source that feeds into the system. >>And, uh, you know, on AWS, uh, thinking about a modern data strategy, uh, really at the core is a data lakes built on us three. And I'll talk more about that in a second. Then you've got services like Athena included, lake formation for managing that data, cataloging it and querying it in place. And then you have the ability to use the right tool for the right job. And so we're big believers in purpose-built services for data because that's where you can avoid compromising on performance functionality or scale. Uh, and then as I mentioned, unification and inter interconnecting, all of that data. So if you need to move data between these systems, uh, there's well-trodden pathways that allow you to do that, and then features built into services that enable that. >>And, um, you know, some of the core ideas that guide the work that we do, um, scalable data lakes at key, um, and you know, this is really about providing arbitrarily scalable high throughput systems. It's about open format data for future-proofing. Uh, then we talk about purpose-built systems at the best possible functionality, performance, and cost. Uh, and then from a serverless perspective, this has been another big trend for us. We announced a bunch of serverless services and reinvented the goal here is to really take away the need to manage infrastructure from customers. They can really focus about driving differentiated business value, integrated governance, and then machine learning pervasively, um, not just as an end product for data scientists, but also machine learning built into data, warehouses, visualization and a database. >>And so it's scalable data lakes. Uh, data three is really the foundation for this. One of our, um, original services that AWS really the backbone of so much of what we do, uh, really unmatched your ability, availability, and scale, a huge portfolio of analytics services, uh, both that we offer, but also that our partners and customers offer and really arbitrary skin. We've got individual customers and estimator in the expert range, many in the hundreds of petabytes. And that's just growing. You know, as I mentioned, we see roughly a 10 X increase in data volume every five years. So that's a exponential increase in data volumes, Uh, from a purpose-built perspective, it's the right tool for the right job, the red shift and data warehousing Athena for querying all your data. Uh, EMR is our managed sparking to do, uh, open search for log analytics and search, and then Kinesis and Amex care for CAFCA and streaming. And that's been another big trend is, uh, real time. Data has been exploding and customers wanting to make sense of that data in real time, uh, is another big deal. >>Uh, some examples of how we're able to achieve differentiated performance and purpose-built systems. So with Redshift, um, using managed storage and it's led us and since types, uh, the three X better price performance, and what's out there available to all our customers and partners in EMR, uh, with things like spark, we're able to deliver two X performance of open source with a hundred percent compatibility, uh, almost three X and Presto, uh, with on two, which is our, um, uh, new Silicon chips on AWS, better price performance, about 10 to 12% better price performance, and 20% lower costs. And then, uh, all compatible source. So drop your jobs, then have them run faster and cheaper. And that translates to customer benefits for better margins for partners, uh, from a serverless perspective, this is about simplifying operations, reducing total cost of ownership and freeing customers from the need to think about capacity management. If we invent, we, uh, announced serverless redshifts EMR, uh, serverless, uh, Kinesis and Kafka, um, and these are all game changes for customers in terms of freeing our customers and partners from having to think about infrastructure and allowing them to focus on data. >>And, um, you know, when it comes to several assumptions in analytics, we've really got a very full and complete set. So, uh, whether that's around data warehousing, big data processing streaming, or cataloging or governance or visualization, we want all of our customers to have an option to run something struggles as well as if they have specialized needs, uh, uh, instances are available as well. And so, uh, really providing a comprehensive deployment model, uh, based on the customer's use cases, uh, from a governance perspective, uh, you know, like information is about easy build and management of data lakes. Uh, and this is what enables data sharing and self service. And, um, you know, with you get very granular access controls. So rule level security, uh, simple data sharing, and you can tag data. So you can tag a group of analysts in the year when you can say those only have access to the new data that's been tagged with the new tags, and it allows you to very, scaleably provide different secure views onto the same data without having to make multiple copies, another big win for customers and partners, uh, support transactions on data lakes. >>So updates and deletes. And time-travel, uh, you know, John talked about data as code and with time travel, you can look at, um, querying on different versions of data. So that's, uh, a big enabler for those types of strategies. And with blue, you're able to connect data in multiple places. So, uh, whether that's accessing data on premises in other SAS providers or, uh, clouds, uh, as well as data that's on AWS and all of this is, uh, serverless and interconnected. And, um, and really it's about plugging all of your data into the AWS ecosystem and into our partner ecosystem. So this API is all available for integration as well, but then from an AML perspective, what we're really trying to do is bring machine learning closer to data. And so with our databases and warehouses and lakes and BI tools, um, you know, we've infused machine learning throughout our, by, um, the state of the art machine running that we offer through SageMaker. >>And so you've got a ML in Aurora and Neptune for broths. Uh, you can train machine learning models from SQL, directly from Redshift and a female. You can use free inference, and then QuickSight has built in forecasting built in natural language, querying all powered by machine learning, same with anomaly detection. And here are the ideas, you know, how can we up our systems get smarter at the surface, the right insights for our customers so that they don't have to always rely on smart people asking the right questions, um, and you know, uh, really it's about bringing data back together and making it available for innovation. And, uh, thank you very much. I appreciate your attention. >>Okay. Well done reinventing the business with AWS analytics rural. That was great. Thanks for walking through that. That was awesome. I have to ask you some questions on the end-to-end view of the data. That seems to be a theme serverless, uh, in there, uh, Mel integration. Um, but then you also mentioned picking the right tool for the job. So then you've got like all these things moving on, simplify it for me right now. So from a business standpoint, how do they modernize? What's the steps that the clients are taking with analytics, what's the best practice? How do they, what's the what's the high order bit here? >>Uh, so the basic hierarchy is, you know, historically legacy systems are rigid and inflexible, and they weren't really designed for the scale of modern data or the variety of it. And so what customers are finding is they're moving to the cloud. They're moving from legacy systems with punitive licensing into more flexible, more systems. And that allows them to really think about building a decoupled, scalable future proof architecture. And so you've got the ability to combine data lakes and databases and data warehouses and connect them using common KPIs and common data protection. And that sets you up to deal with arbitrary scale and arbitrary types. And it allows you to evolve as the future changes since it makes it easy to add in a new type of engine, as we invent a better one a few years from now. Uh, and then, uh, once you've kind of got your data in a cloud and interconnected in this way, you can now build complete pictures of what's going on. You can understand all your touch points with customers. You can understand your complete supply chain, and once you can build that complete picture of your business, you can start to use analytics and machine learning to find new opportunities. So, uh, think about modernizing, moving to the cloud, setting up for the future, connecting data end to end, and then figuring out how to use that to your advantage. >>I know as you mentioned, modern data strategy gives you the best of both worlds. And you've mentioned, um, briefly, I want to get a little bit more, uh, insight from you on this. You mentioned open, open formats. One of the themes that's come out of some of the interviews, these companies we're going to be hearing from today is open source. The role opens playing. Um, how do you see that integrating in? Because again, this is just like software, right? Open, uh, open source software, open source data. It seems to be a trend. What does open look like to you? How do you see that progressing? >>Uh, it's a great question. Uh, open operates on multiple dimensions, John, as you point out, there's open data formats. These are things like JSI and our care for analytics. This allows multiple engines tend to operate on data and it'll, it, it creates option value for customers. If you're going to data in an open format, you can use it with multiple technologies and that'll be future-proofed. You don't have to migrate your data. Now, if you're thinking about using a different technology. So that's one piece now that sort of software, um, also, um, really a big enabler for innovation and for customers. And you've got things like squat arc and Presto, which are popular. And I know some of the startups, um, you know, that we're talking about as part of the showcase and use these technologies, and this allows for really the world to contribute, to innovating and these engines and moving them forward together. And we're big believers in that we've got open source services. We contribute to open-source, we support open source projects, and that's another big part of what we do. And then there's open API is things like SQL or Python. Uh, again, uh, common ways of interacting with data that are broadly adopted. And this one, again, create standardization. It makes it easier for customers to inter-operate and be flexible. And so open is really present all the way through. And it's a big part, I think, of, uh, the present and the future. >>Yeah. It's going to be fun to watch and see how that grows. It seems to be a lot of traction there. I want to ask you about, um, the other comment I thought was cool. You had the architectural slides out there. One was data lakes built on S3, and you had a theme, the glue in lake formation kind of around S3. And then you had the constellation of, you know, Kinesis SageMaker and other things around it. And you said, you know, pick the tool for the right job. And then you had the other slide on the analytics at the center and you had Redshift and all the other, other, other services around it around serverless. So one was more about the data lake with Athena glue and lake formation. The other one's about serverless. Explain that a little bit more for me, because I'm trying to understand where that fits. I get the data lake piece. Okay. Athena glue and lake formation enables it, and then you can pick and choose what you need on the serverless side. What does analytics in the center mean? >>So the idea there is that really, we wanted to talk about the fact that if you zoom into the analytics use case within analytics, everything that we offer, uh, has a serverless option for our customers. So, um, you could look at the bucket of analytics across things like Redshift or EMR or Athena, or, um, glue and league permission. You have the option to use instances or containers, but also to just not worry about infrastructure and just think declaratively about the data that you want to. >>Oh, so basically you're saying the analytics is going serverless everywhere. Talking about volumes, you mentioned 10 X volumes. Um, what are other stats? Can you share in terms of volumes? What are people seeing velocity I've seen data warehouses can't move as fast as what we're seeing in the cloud with some of your customers and how they're using data. How does the volume and velocity community have any kind of other kind of insights into those numbers? >>Yeah, I mean, I think from a stats perspective, um, you know, take Redshift, for example, customers are processing. So reading and writing, um, multiple exabytes of data there across from each shift. And, uh, you know, one of the things that we've seen in, uh, as time has progressed as, as data volumes have gone up and did a tapes have exploded, uh, you've seen data warehouses get more flexible. So we've added things like the ability to put semi-structured data and arbitrary, nested data into Redshift. Uh, we've also seen the seamless integration of data warehouses and data lakes. So, um, actually Redshift was one of the first to enable a straightforward acquiring of data. That's sitting in locally and drives as well as feed and that's managed on a stream and, uh, you know, those trends will continue. I think you'll kind of continue to see this, um, need to query data wherever it lives and, um, and, uh, allow, uh, leaks and warehouses and purpose-built stores to interconnect. >>You know, one of the things I liked about your presentation was, you know, kind of had the theme of, you know, modernize, unify, innovate, um, and we've been covering a lot of companies that have been, I won't say stumbling, but like getting to the future, some go faster than others, but they all kind of get stuck in an area that seems to be the same spot. It's the silos, breaking down the silos and get in the data lakes and kind of blending that purpose built data store. And they get stuck there because they're so used to silos and their teams, and that's kind of holding back the machine learning side of it because the machine learning can't do its job if they don't have access to all the data. And that's where we're seeing machine learning kind of being this new iterative model where the models are coming in faster. And so the silo brake busting is an issue. So what's your take on this part of the equation? >>Uh, so there's a few things I plan it. So you're absolutely right. I think that transition from some old data to interconnected data is always straightforward and it operates on a number of levels. You want to have the right technology. So, um, you know, we enable things like queries that can span multiple stores. You want to have good governance, you can connect across multiple ones. Uh, then you need to be able to get data in and out of these things and blue plays that role. So there's that interconnection on the technical side, but the other piece is also, um, you know, you want to think through, um, organizationally, how do you organize, how do you define it once data when they share it? And one of the asylees for enabling that sharing and, um, think about, um, some of the processes that need to get put in place and create the right incentives in your company to enable that data sharing. And then the foundational piece is good guardrails. You know, it's, uh, it can be scary to open data up. And, uh, the key to that is to put good governance in place where you can ensure that data can be shared and distributed while remaining protected and adhering to the privacy and compliance and security regulations that you have for that. And once you can assert that level of protection, then you can set that data free. And that's when, uh, customers really start to see the benefits of connecting all of it together, >>Right? And then we have a batch of startups here on this episode that are doing a lot of different things. Uh, some have, you know, new lake new lakes are forming observability lakes. You have CQL innovation on the front end data, tiering innovation at the data tier side, just a ton of innovation around this new data as code. How do you see as executive at AWS? You're enabling all this, um, where's the action going? Where are the white spaces? Where are the opportunities as this architecture continues to grow, um, and get traction because of the relevance of machine learning and AI and the apps are embedding data in there now as code where's the opportunities for these startups and how can they continue to grow? >>Yeah, the, I mean, the opportunity is it's amazing, John, you know, we talked a little bit about this at the beginning, but the, there is no slow down insight for the volume of data that we're generating pretty much everything that we have, whether it's a watch or a phone or the systems that we interact with are generating data and, uh, you know, customers, uh, you know, we talk a lot about the things that'll stay the same over time. And so, you know, the data volumes will continue to go up. Customers are gonna want to keep analyzing that data to make sense of it. They're going to want to be able to do it faster and more cheaply than they were yesterday. And then we're going to want to be able to make decisions and innovate, uh, in a shorter cycle and run more experiments than they were able to do. >>And so I think as long as, and they're always going to want this data to be secure and well-protected, and so I think as long as we, and the startups that we work with can continue to push on making these things better. Can I deal with more data? Can I deal with it more cheaply? Can I make it easier to get insight? And can I maintain a super high bar in security investments in these areas will just be off. Um, because, uh, the demand side of this equation is just in a great place, given what we're seeing in terms of theater and the architect for forum. >>I also love your comment about, uh, ML integration being the last leg of the equation here or less likely the journey, but you've got that enablement of the AIP solves a lot of problems. People can see benefits from good machine learning and AI is creating opportunities. Um, and also you also have mentioned the end to end with security piece. So data and security are kind of going hand in hand these days, not just the governments and the compliance stuff we're talking about security. So machine learning integration kind of connects all of this. Um, what's it all mean for the customers, >>For customers. That means that with machine learning and really enabling themselves to use machine learning, to make sense of data, they're able to find patterns that can represent new opportunities, um, quicker than ever before. And they're able to do it, uh, dynamically. So, you know, in a prior version of the world, we'd have little bit of systems and they would be relatively rigid and then we'd have to improve them. Um, with machine learning, this can be dynamic and near real time and you can customize them. So, uh, that just represents an opportunity to deepen relationships with customers and create more value and to find more efficiency in how businesses are run. So that piece is there. Um, and you know, your ideas around, uh, data's code really come into play because machine learning needs to be repeatable and explainable. And that means versioning, uh, keeping track of everything that you've done from a code and data and learning and training perspective >>And data sets are updating the machine learning. You got data sets growing, they become code modules that can be reused and, uh, interrogated, um, security okay. Is a big as a big theme data, really important security is seen as one of our top use cases. Certainly now in this day and age, we're getting a lot of, a lot of breaches and hacks coming in, being defended. It brings up the open, brings up the data as code security is a good proxy for kind of where this is going. What's your what's take on that and your reaction to that. >>So I'm, I'm security. You can, we can never invest enough. And I think one of the things that we, um, you know, guide us in AWS is security, availability, durability sort of jobs, you know, 1, 2, 3, and, um, and it operates at multiple levels. You need to protect data and rest with encryption, good key management and good practices though. You need to protect data on the wire. You need to have a good sense of what data is allowed to be seen by whom. And then you need to keep track of who did what and be able to verify and come back and prove that, uh, you know, uh, only the things that were allowed to happen actually happened. And you can actually then use machine learning on top of all of this apparatus to say, uh, you know, can I detect things that are happening that shouldn't be happening in near real time so they could put a stop to them. So I don't think any of us can ever invest enough in securing and protecting my data and our systems, and it is really fundamental or adding customer trust and it's just good business. So I think it is absolutely crucial. And we think about it all the time and are always looking for ways to raise >>Well, I really appreciate you taking the time to give the keynote final word here for the folks watching a lot of these startups that are presenting, they're doing well. Business wise, they're being used by large enterprises and people buying their products and using their services for customers are implementing more and more of the hot startups products they're relevant. What's your advice to the customer out there as they go on this journey, this new data as code this new future of analytics, what's your recommendation. >>So for customers who are out there, uh, recommend you take a look at, um, what, uh, the startups on AWS are building. I think there's tremendous innovation and energy, uh, and, um, there's really great technology being built on top of a rock solid platform. And so I encourage customers thinking about it to lean forward, to think about new technology and to embrace, uh, move to the cloud suite, modernized, you know, build a single picture of our data and, and figure out how to innovate and when >>Well, thanks for coming on. Appreciate your keynote. Thanks for the insight. And thanks for the conversation. Let's hand it off to the show. Let the show begin. >>Thank you, John pleasure, as always.

>>Yeah. Hello and welcome to the Cuba's International Women's Showcase, featuring International Women's Day. I'm John, host of the Kiwi here in California. Great remote guest. She's amazing founder and C e O of Cuba, and great to see you. Okay, thanks for coming on. Um, good to see you. >>You as well. Always a pleasure. You >>know, International Women's Day is the big celebration. We're doing a lot of interviews with great people making things happen, moving and shaking things. Um, but every day, International Women's Day, As far as I'm concerned, it's happening all around the world. But these are stories of innovation, the stories of changes, the stories of transformation for the better. You've been doing a lot of things. Um and I want to get into that. But let's start with your background. Tell us a bit about who you are and what you've got going on. >>Yeah, my background is a little strange. I used to be a maritime archaeologists. So dumb shit breaks for a little bit. That was amazing. I always just It's only partial just because it's actually a bit of truth to it, that learning how to, you know, handle things at depth really does train you to be a C e o. Because you learn to control your breath and and focus on the things that matter and not be so reactive because it's three activity that will panic that will kill you. Uh, always knowing how to reframe. Return to the basics. Um, there's a really good things to hold on to, even in the world of business. Right? So I at some point, ended up doing doing a lot of things. Largely business development, following my time diving and amazing woman. Um, another woman for International Women's Day named Doctor who was a biotech entrepreneur from Japan, stepping down as her role at the helm of her company. Um, and she wanted to launch a space for a young innovators from around the world who are doing amazing work to tackle this very complex challenges we all know exist, um, and figure out a way to give them time and space to do their best work and pursue their their highest visions for change. We decided that we would focus on for-profit companies largely who were using sustainable, scalable business models to pursue both profit and purpose. Um creating a virtuous cycle between the return of money to a company and putting that into to go even further and faster towards, um, solving a problem. Um, so we now have companies over 200 companies from around the world that we have helped support tackling every single, sustainable development goal. Um, and I'm proud to say, you know, particularly related to the subject that fifty-nine percent of our companies have a woman founder or CO-FOUNDER. Um, and 69% of the founder of color. Um, so we're working with entrepreneurs from every every area of the world. Many approximate to the problem that they are trying to solve, so they intimately understand it. Um, and they're doing amazing things. >>Yeah, you can help the great mission. You have a lot of other things going on your helping women encouraging them to your career in the tech sector. Um, good statistics could be better, right? Is higher and better. So, um, what are you guys doing? What, you specifically to help and encourage women to forge their career and tech? >>Yeah. I mean, look, the good news is I do think that it's getting better. I particularly think that we will see the adventure is improving. Um, it takes a while because the companies that have been funded up until now are still working in the biggest amount in the later stages. So I think that percentage hasn't been shifting. But I have to believe that that's a bit of an illusion, and then a couple of years, we're going to start to sea level out. But you know as well as I do that they're pretty poultry statistics in terms of the amount of venture that women like cos. Capture, Um, and the other ways that women are doubted, um, in terms of their ability and potential. Um, so we we love to work with any underrepresented group of entrepreneurs, and there's ways that we do that whether it's helping them sort of find their power and hold space and be confident. And, um, you know, be able to pitch to any room, talk to any investor, talk to any customer but also working to be directed about some of the systemic challenges, both in terms of talking to existing investors and trying to educate them to see the opportunities that they're missing because there is a an economic imperative to them understanding what they're missing. Um, but there's also some things that we're doing in-house to make sure that we're also helping to close capital gaps for all our entrepreneurs. So we actually now have a suite of three capital mechanisms that are entrepreneurs can access on the back end of our incubator, a microphone fund, which is very quick turnaround, small amounts of capital for entrepreneurs who existing opportunities owns, which is a tax destination. Just this in the U. S. But that's meant to be deployed so that they can access capital towards revenue without credit checks, collateral being put up, a slow moving pace of banks and C. D. S s. It's particularly useful for people who may not raise venture. And it's useful for, uh, you know, people who maybe don't have that friends and family check that they can expect similar. We've got a great angel network who look at the best impact deals from around the world. Um, and it doesn't have to be a housing company, just a great venture that's pursuing impact on profit. Um, and then lastly, we're just about to announce that we have a fund of our own on the back end of our incubator that funds only healthy and companies. Um, it's an early stage fund. Um, but watch this space because our pipeline is just increasing your every year. We used to sort of just 16 companies here. Now, we're serving 60 this year, so, um, yeah, it's really exciting. Um, and so obviously, it's really great that, you know, we're going to be able to help scale the impact that we want to see. Uh, ideally a lot. A lot faster. >>Well, you definitely taking control. I remember when we had a few years ago. I think four years ago, you just thinking about getting going and going now with great tailwind. Um, >>and the diversity >>of sources of capital as well as diversity of firms is increasing. That's helping, uh, that we're seeing, but you're also got the back end fun for the housing companies. But also, you've been involved in we capital for a long time. Can you talk about that? Because that's a specific supporting women entrepreneurs initiative. Um, yeah. What's up with capital share? That >>was That was another venture that I-i embarked on with such coz. Um as well as Sheila Johnson and Jonny Adam, Person who runs Rethink Impact. We capital is a group of about 16 women that I pulled together women investors to invest through rethink impact, which is another fun that is looking for impact businesses but predominantly looking for those businesses that are led by women. So this investment group is women supporting women. Um, through the use of deployment of capital, um, they're doing amazingly well. They've had some really stunning news recently that I'll let you dig up. >>I'll definitely thanks for the lead there. I'm gonna go jump on that story. >>Yeah, >>the Okay, Thanks for that lead on that trend, though in Silicon Valley and certainly in other areas that are hot like New York, Boston and D. C. Where you're at, um, you're seeing now multiple years in almost a decade in of the pioneers of these women, only funds or women only firms and your investment. Um, and it's starting to increase to under all underrepresented minorities and entrepreneurs. Right? So take us through how you see that because it's just getting more popular. Is that going to continue to accelerate in your mind? Are their networks of networks. They cross pollinating. >>Yeah, I think you know, it's It's I'm glad to see it. And, you know, it's been a long time coming. I think you know, I think we all look forward to a future where it's not necessary. Um, and you know, funds. Just invest in everyone Until then, making sure that we have specific pools of capital allocated to ensure that that, you know, those entrepreneurs who have not always been equally represented get to pursue their ideas not just because they deserve to pursue their ideas, but because the world needs their ideas. Right. And as I mentioned, there is a business imperative, right? We've got lots of examples of businesses like banks that you wouldn't have gotten a shot just because the investors just didn't understand the opportunity. Um, and I think that's normal. That's human. It happens to everyone. You are successful as an investor largely because you recognize patterns. And if something is, you know, outside of your life experience, you are not going to identify it. So it's very important that we create different kinds of capital run by different types of people. Um, and, uh, and you know. I know lots of investors have every type that are investing in these funds because they recognize that, you know, perhaps the highest growth potential is gonna come out of these, you know, particular kind of funds, which is really exciting. >>That's super important, because half the world is women, and that's just like the population is inspired by many new ventures. And that's super exciting trend. I wanna ask you about your other areas of doing a lot of work in the queue has been to buy multiple times, um, initially reporting on a region out there, and that's certainly isn't important part of the world. Um, you've got a lot of good news going on there. Can you share what's going on with, uh, the social entrepreneurship going on in Bahrain around the region? >>Yeah, I'm happy to. We we've actually been so privileged to work with a W S for a very long time. Almost since the start of the incubator they've supported are entrepreneurs, all of our entrepreneurs with access to cloud credits and services. Um, and we've sort of double down with a W S in the last couple of years in areas where We both want to create an uplift, um, for small businesses and rapidly growing tax solutions to these these social environmental problems. We see. So there's been an excellent partner to do that. And one of the areas we did in the water was with rain, particularly with women, tech startups, women tech startups in Bahrain. Yeah, we did that last year. We had an amazing group of women over in D. C. Um, and we continue to support them. One of them is actually in the process of raising. I think she just closed her seed round recently. And that's why for, um, al yet, um, and she created playbook, which is an amazing, uh, platform for women to take master classes and network and really sort of level up, as one says, Um, but also, um, the mall of work. Um uh, just really talented women over in Bahrain, um, pushing the envelope and all sorts of directions, and it was wonderful to get the opportunity to work with them. Um, that has now spawned another set of programs serving entrepreneurs in the Middle East in North Africa. They were also working on with us as well as the U S. State Department. Um, so we're going to be working for the next two years with entrepreneurs to help our recovery from covid. Um, in China. Um, and then I'm also proud to say that we're working with a W s in South Africa because there is just an extraordinary energy, you know, in the continent, Um, and some amazing entrepreneurial minds working on, you know, the many problems and opportunities that they're facing and recognizing. Um So we're supporting, you know, companies that are working on finding, um, skilled refugees to be able to help them resettle and use their talents and make money. Um, sadly, are very relevant company now with what's going on in Ukraine. Um, but also, uh, zombie and satellite company, um, companies that are preventing food, food waste by providing, um, solar-powered refrigerators to rural areas in South Africa. Um, so a lot of, um, you know, just incredible talent and ideas that we're seeing globally. Um, and happy to be doubling down on that with the help of a W s. >>That's awesome. Yeah, following the work when we met in D. C. And again, you always had this international view um it's International Women's Day. It's not North America >>Women's Day. It's >>International Women's Day. Can you share your thoughts on how that landscape is changing outside the U. S. For example, and around the world and how the international peace is important and you mentioned pattern matching? Um, you also, when you see patterns, they become trends. What do you see forming that have been that that are locked in on the U. C they're locked in on that are happening that are driving. What are some of those trends that you see on the international side that's evolving? >>Yeah. You know, I think the wonderful opportunity with the Internet and social media is that, you know, both, uh, we can be more transparent about areas for improvement and put a little pressure where maybe things are moving fast enough. We've all seen the power of that, Um, the other, um, you know, things that certainly in countries where women maybe as free to move and operate, they can still acquire skills education they can set up cos they can do so so much. Um, you know, through these amazing technologies that we now have at our disposal growing an amazing rates. Um, they can connect via zoom. Right? I think that while the pandemic definitely set women back and we should acknowledge that, um, uh, the things that the pandemic perhaps helped us to exponentially scale will move women forward. And perhaps that's the target to hang on to, to feel optimistic about where we're headed. >>And also, there's a lot of problems to solve. And I think one of the things we're seeing you mentioned the Ukraine situation. You're seeing the geopolitical landscape changing radically with technology driving a lot of value. So with problems comes opportunities. Um, innovation plays a big role. Can you share some of the successful stories that you were inspired by that you've seen, um, in the past couple of years. And as you look forward, what What some of those innovation stories look like? And what are you inspired by? >>Yeah. I mean, there's so, so many. Um, you know, we just, uh, had a couple of entrepreneurs, and just the last year, Um, you know, after I think everyone sort of took an initial breath with the pandemic, They realize that they either had an opportunity or they had a problem to solve to your point. Um, and they did that well or not. And or some of them, you know, just didn't didn't have any more cards to play and had to really pivot. Um, it was really interesting to see how everyone handled handled that particular moment in time. One company that I think of is everywhere. Um, and she had created a wearable device that you can just put on your ear. It looks like an earring right at the top of your ear. Um, and it was for her for herself because she suffered from pulmonary complications. And, uh, without more discreet wearable, you know, had to wear a huge device and look around and oxygen tank and, you know, just to sort of have a good quality of life. Um, it turns out, obviously, during covid, that is a very useful item, not just for patients suffering from covid and wanting to know what their oxygen levels were doing, but also potentially athletics. So, um, she's really been able to double down as a result of the trends from the pandemic. Um, and I'm really proud of part of her. And that's actually where another great one that we just just came through. Our last 15 is Maya. Um, and she had a brick and mortar store. Um, uh, called Cherry Blossom. Intimate where she helped women have an enjoyable experience finding, uh, and fitting bras post mastectomy to include sort of, you know, the necessary, um, prosthetics and things like that. Um, she even made it so that you could go with your friends who haven't had a mistake, and she could also find some lovely luxury. Um, but the pandemic meant that that experience was sort of off the table. Um, and what they did was she decided to make it a technological one. So now she's she's essentially will be part of it. You can, you know, go to my, um, online. And you can, um, you know, order, uh, measure yourself, work with a specialist, all online, get a few different options, figure out the one that's perfect for you and the rest back. Um, and I don't think without the pandemic, that would not have happened. So she's now able to serve exponentially more. Um, you know, women who deserve to feel like themselves post it to me. >>That's also a model and inspirational. I have to ask you for the young women out there watching. What advice would you share with them as they navigate into a world that's changing and evolving and getting better with other women, mentors and entrepreneurs and or just an ecosystem of community? What advice would you give them as they step into the world and have to engage and experience life? >>Yeah, gosh, part of me always wants to resist that they don't listen to anyone to do you follow your heart, follow your gut, or at least be careful who you listen to because a lot of people will want to give you advice. I would >>say, Uh, that's good advice. Don't take my advice. Well, you've been a great leader. Love the work, you're doing it and I'll say N D. C. But all around the world and again, there's so much change going on with innovation. I mean, just the advances in technology across the board, from with machine learning and AI from linguistics and understanding. And I think we're going to be a bigger community. Your thoughts on as you see community organically becoming a big part of how people are engaging. What's your what's your view As you look out across the landscape, communities becoming a big part of tribes. What's your vision on how the role of communities place? >>You know, we we actually do you think a lot about community and healthy. And we say that are you know, alchemy really is providing space, you know, physical and mental space to think, um, access access to capital access to networks, Um, community, Um, and the community piece is very, very important. Are entrepreneurs leave us like the number one thing that they miss is being among like-minded, um, you know, slightly slightly crazy audacious people. Um, and I often joked that we're building a kind army because it is, you know, it's people who want to do it differently if people want to do it with integrity. Is people who are in it for a very different motivations than just money. Um, and, you know, you start to feel the power of that group together and its entirety and what that might look like as as a community solving global problems. Um, and it really is inspiring. Um, I do think that people are starving for FaceTime and people time, real human time after the pandemic, I think they won't go away. It's a great tool, but we all want a little bit of that, and I will mention just along those lines. And if you don't mind a quick plug for an event that we're having March 16, Um, also in partnership with a W s called Build her relevant to International Women's Day as well. People can, either. If they're in the city, they can come in person. But we also have a virtual program, and we'll be listening to some of the most inspiring. Women leaders and entrepreneurs both in government and also the private sector share their knowledge on the side of the pandemic for for, you know, the next tribal group of women entrepreneurs and leaders. >>That's great. Well, you are on our website for sure. >>Thank you. Thank you. Appreciate it. >>And we love the fact that you're in our community as well. Doing great work. Thanks for spending time with the Cube and on International Women's Day celebration. Thanks for coming on and sharing. >>Thank you, John. >>Okay. The Cube International showcase Women's Day, featuring some great guests all around the world, Not just in the U S. But all over the world. I'm your host. Thanks for watching. Yeah, Yeah, yeah, hm, Yeah.

>>Yeah. Hello and welcome to the Cubes Presentation of Women in text. Global event Celebrating International Women's Day I'm John for a host of the Cube were with Sally E. Senior Policy Advisor Global Foundation for Cyber Studies and Research. Sally, great to see you. Thanks for coming on the cue for International Women's Day. Appreciate it. >>Pleasure, John. Great speech again. >>Love your title. Global Foundation for Cyber Studies. Um, global is a big part of the theme this year. Uh, cyber studies. We're seeing a lot of cyber activity all around the world, networks, communities coming together, the role of data. I mean, everything is touching our lives. There are no boundaries anymore. What does it all mean? There's so much to talk about your in the middle of it before we get into it. Tell us about your career and your history. How you got interested in tech and what you're working on. >>Absolutely. I love it. Kind of this age of convergence coming together right now, isn't it? That's how I would describe it. And that's kind of a bit like my career. I think in many ways as well. So for the audience, really great to be here and share about that today, and I kind of say, three main palace, so one would be emergent technologies. So, you know, I started off right through from coding to advisory to CTO type roles as well also change management. And now I'm more advisors right across from a I to five G to to Iot and security, for example as well. Also passionate about education checking education for me. They always go hand in hand, some a professor at a number of universities and in my non for profit, we really do a lot of outreach around educational opportunities as well. And that third pillar opponent hinted at it already will be social impact. So really passionate about how we can use tech as a force for good things around sustainability right at the heart of that, but also around diversity equity and inclusion. So we do a lot of pro project your locally and globally around kind of reframing what a tech career looks like, giving people more democratised access. Those tech opportunities outside of that a bit like yourself, you know, podcast host and writer and speaker and things as well, so very much going to building that community around key tech topics. >>Well, folks watching should check it out on Twitter. She's that great content you mentioned Mobile World Congress. Before we get on camera, you mentioned convergence. I mean, we're at a time now. I got to ask you while I got you here before we get into the whole schools and career tech thing, we've seen this movie before, but never at this scale. The convergence and the confluence of education and scale of cloud computing, the ability to level up and get, um, I won't say democratised. That's kind of overused. But I'm just talking about like with cloud computing could be educated and in market with a job instantly. Um, the barriers just seem to be moving away because of the the openings and the roles are changing. So, more than ever, this whole new tech scene comes together in a way. Can you share your thoughts and vision because to me, we're seeing this happening at such a scale unprecedented in my career? >>It is. And that's one of those words that the part had been overused, unprecedented, but right now it really, really is. It's not just a speed of change. I think it's a scale of change as well. You know, I think previously we've talked about disciplines in silos to a certain extent. Haven't we know in terms of like, an AI special is, um or five g one or other disciplines as well? But really, now that convergence about what one tech enables another, it really is that smart technology coming together for more and more different use cases, but that residents around how important education is alongside that alongside process alongside culture and shared values as well it really is. It's kind of holistic integration of everything that matters at the moment. And it's evolving business models as well. You know, shared values rights centre stage around that MWC just come back from that, And the key topics there weren't just by G, it was the importance of ecosystem collaboration. For example, there are less tracks that were isolated on one technology. It was more this conflation of these different technologies coming together and what we can achieve from that from business but also for society so really exciting focus areas now things that maybe once or a few years ago, more than periphery. They're now absolutely centre stage. So it's good to see that progress in that area. And I love to advocate around that. >>And the education piece is so important, and we always stay here in Cuba. It's a data problem, right? Everything's a data problem when you look at schools and education is structured and unstructured data kind of our our systems right, So structured as schools, institutions, those kinds of career paths or education pathways. And then you haven't structured freeform communities, seeing a lot more education going on within groups. Um, off structured environments like schools, Can you and you do a lot with schools? Can you share more how you're doing? Um uh, work with schools specifically on the structured side to get girls into careers faster and tech? And then can you also comment on the other side? What's going on in the communities because it's it's kind of going on in parallel, but they're not mutually exclusive. >>No, absolutely community, absolutely key word that I love that, and I think when we're talking about diversity and technology, it's not just what we're doing now with what we're looking at is looking ahead, but also looking at future pipeline as well. So for me, I use this express a little bit. But change the narrative. That's what springs to mind for me when we're talking about that, and particularly for girls going into technology but also more broadly, diversity of experience. More broadly, we do have these drop offs, so UK is one example, but it is really representative of the global trends that we're seeing. Now. We get a drop off of girls in particular, taking ice subjects at GCSE level so kind of that subject choice choice at 12 to 14, that kind of area. We get the same thing at a level that's equivalent of 16 to 18 and then even safer university or even apprenticeships, whichever both equally valid. But even if people are taking those types of skills, they're not then choosing to apply them in their careers. So we're seeing these kind of three pillars where we need to intervene earlier. So for me, the more that we can do things you know from dedicated educational offers, but equally partnering with tech companies to do outreach around this area. We need to go in younger and younger is so important to address that. Why? Why are people thinking they can't? Why is his career not for me, for example, so addressing that is huge. And that's one of the things we do with my nonprofit that's called aspirational futures. We go into schools and two universities, but equally do things with older adults and re Skilling and up Skilling as well. Because again, we can't leave that behind either. There's something for all different kind of age groups and backgrounds here, but specifically, I think, in terms of getting people interested in this career, curiosity matters. You know, I think it's an underrated skills. So it's changing the narrative again. And what the tech career actually is, what skills are valid? You know, I mentioned, I have a coding background as a starter. But not all tech careers involve coding, particularly the rise of low code or no code, for example as well. So really valued skill. But so many other skills are valid as well, you know, creativity or emotional intelligence problem solving skills. So for me, I like to drive forward. All those skills can make a difference as an individual, as a team, so your you know your tech career. All those skills are valid and you can make a huge difference. And I also think, you know, just kind of really bringing to the fore what different types of projects you can be involved in in tech as well. And I found really resonating when you can talk about tech for good projects and show how you're making a difference about some of those big challenges. Um, that's kind of really kind of resonating responsible people as well. So again, the more we can show tangible projects where you can make a difference and the whole range of skills that are involved in that it really helps people to think differently and gain that skills confidence. So it's like, >>Well, that's awesome insight. I want to just double click on that for a second, because one the drop off. Can you just repeat the ages where you see the drop off with the drop offs are >>absolutely yeah, no problem, John. So it's kind of when you're making your first choices around your first kind of qualifications. Between that 12 to 14 age group, 16 to 18 and then 18 to 21 I think we've really got to tackle that So again the earlier we can go in the better and again supporting people within organisations as well. So I do a lot of work like internally, with organisations as well people looking to up skill and re skill. You mentioned about data and the importance of data literacy earlier on in the conversation as well. For example, going into organisations and really helping to support people in all roles, not just tech facing roles develop that skills, confidence as well. So for me it's access to skills really bringing forward the difference. You can make that holistic range of skills that makes a difference, but also the confidence to apply them as well. You know, we talk about agility, of organisations, a lot areas, one of those kind of words in the last 12 months. But maybe we don't talk about personal agility and team agility as well. So I kind of talked about it. This little toolbox, if we can give people more and more things to draw from it, the only constant is this rate of change. If you've got more things in your armoury to cope with that and be an agile to that. It takes that fear away about what happens next because you feel you've got more skills to dip into it and to apply. So for me, it's that that confidence, not just the access to the skills >>and the other thing, too, I thought was insightful. I want to just reiterate and bring to the surface again as skills, right? So you don't have to be a coder. And I see I have two daughters just with my family. Yeah, I do python. They kind of put their toe in the water cause it's cool. Maybe that's a path, and they kind of don't like, maybe get into it. But it's not about coding anymore because you said low code, no code. Certainly. Maybe AI writes the code. We all see that happening. It's problem solving. It's you could be in health care and you could be nerd native, as we say, as on some of the other interviews of that year at the problem, solving the aperture of skills is much broader now. Can >>you share more than >>more than because with your with your programme and your nonprofit, I know you're in the middle of it, and this is important to get that out there. >>Absolutely so skills. You know, I think we need to change the focus on what skills make a difference if you see what I mean. I think you're absolutely right. There's some misconceptions about, you know, you want to go into tech, you need to be a coda. And you're right with the upscale around low Skilling. Sorry, Low code and the code opportunities. Um, I think the niches around being a specialist. Koda. We're gonna get more roles in that area, but in other areas, we need to look at different skills gap. So I'm advising people to look at where the gaps are now. So cyber security is a key example of that testing architecture. Those gaps are getting bigger. Their amazing skills, opportunities. They're so focused on a particular discipline. But it's all those skills that surround that that make a difference as well. So as I mentioned, you know, e Q creativity, communication skills, because it's not just about having the skills to build the future, knew that imagination to refocus about what that could even be. You know, that was one of the MWC 20 to refrain, reimagine and I love to kind of galvanise that spirit and people that you can be part of that, you know, wherever you are now. And I actually run a little series called 365, and you mentioned something right at the start of our conversation about International Women's Day being such an important focus area. But also we need to think about this beyond that as well. So hence that's the title of the series that I run because it's a focus on that every single day of the year. You know, I interviewed people that could be a C suite roles, but equally I've had some amazing interviews with 12 to 14 year olds, even younger, the youngest of the seven year old. He's doing like an amazing project in their kitchen with a three D printer working with local school or a hospice doing something around Ukraine. Another project we're doing at the moment, actually, and it's so resonating it's trying to show people wherever you are now, wherever you want to be, there's somebody relatable that you can make. You can see whatever sector, in whatever age, whatever background, and I think it's to give that inspiration. Hey, you know what I can do that that can be me. So visibility of role models, it really matters. And to really broaden out what role model looks like, you know? >>And then I think people out there you see yourself. I mean, this is what we been >>proven right? >>It's proven I want to get into the aspirational futures thing that you have going on, and I know this is important to you, but also something else you said was, is that there's more jobs open and say cybersecurity than ever before. And you're seeing this trend where all these new roles are emerging because of the tech that weren't around years ago, right? And so we've been having conversations in the Cube saying, Hey, all these roles are new, but also problems are new to these New new problems are surfacing because of the this new environment we're in. So these new roles still have to solve problems, so we need people to solve those problems. This is the future. This is the conversation that people are trying to get zero in on misinformation, cybersecurity, you name it. Society is changing with >>new. You >>have new new problems and new opportunities. Could you share your aspirational future? How you vector into that? >>Yeah, absolutely. And for me it's just again that we're convergence around people in technology and partnership, and that's what we aim to do. We do projects at a very local level, but equally we do them at national and international level as well. And one of our kind of people assume I'm talking pillars a lot, but I like it as a framework. So one of those esteem learning. So putting an equal value on the arts as well as science, technology, engineering, mathematics because I think they are. You know, as I mentioned before, hand that imagination, creativity, curiosity, collaboration, skills. They're equally valid as a different types of tech skills as well. We need an equal value and all of them. I think that's hugely important, important today. I think over the last 5 to 10 years, maybe there's been less of a focus within curriculums on the arts area than the other areas. So for me, putting that equal focus back is hugely important to navigate change, you know, I think that's that's that's absolutely key. So we focus on that area and we do a whole range of tech for good projects, and that's the way we help people to learn, you know, for example, data 90% at the moment of data isn't touched again when it's archived after three months. How can we turn that into a learning opportunity? For example? Some of the projects we use some of this is not going to be used again. We do it in a very safe, secure way, but we use that as one of our training aids, and then we apply them for local projects. We have initiatives from hackathons and ideation right through to very tangible hubs that we've actually built out where people can go, learn up skill and kind of learn through play and experimentation as well. Because again, I think that sometimes under explored that type of value and that freedom to be able to do that. And we also do things, change management skills. We talk about agile learning, agile technology need agile change management as well. So it's a very holistic skills. Look at what you need to navigate that future and have the confidence to apply them. So steam is very much our focus, applying them for tech for good projects and doing that externally, but also within organisations as well. So that very much is shared value approach to good business, but good for society as well. So yes, that this toolbox, that technology I applied earlier we really try and give people that support. To be able to do that, to move forward with confidence and optimism. >>I think adding the aid to stem really for steam is really smart because entrepreneurship or any problem solving creativity is the spark of innovation. >>And that's a super >>important skill. And we've seen it, whether it's startup or in a big company or in society, so super, super insightful. So I got to ask you, as a policy senior policy advisor on cyber studies globally, what are the core issues you're looking at right now? What are you shutting the light on and what's the most important thing you're working on? And then what's the most important thing you're working that people aren't talking about, that people should pay attention to >>Absolutely so. One of my key roles of the foundation is is kind of share of global trust. Essentially, um, and again trust is that one of the key issues of our time? One thing that people are talking about so much that relates with that actually is there's there's research from a group called The Woman. They've been looking at this for about 17 years or so. The research that came out most recently and I've got some original research that kind of support this as well is that for the first time ever, consumers are looking at organisations like tech organisations and other large organisations, in particular the enterprise level, really, as the bastions of trust to a bigger extent than NGOs or even governments. And that's the first time we've seen it at that level. So trust really really matters. It's one of the biggest differentiators of our time, so we're trying to help people. How do you establish trust? How do you build transparency, commitment and accountability, particularly in areas where there's currently confusion, so as one example going back Security zero Trust That phrase is used an awful lot, isn't it? But it's sometimes causing some confusion. Actually, it against what it's trying to deliver if you see what to me. So now I just do something recently with SMB s in particular and there is a confusion that effectively, you know, you could You could buy off the shelf and it's once and done. Um, And then we're sorted for the zero Trust security. And obviously it's not like that. It's an ongoing journey, and there's so many different constituent parts. So there's some things I'm seeing at the moment in the market with there's confusion around around certain language, for example. So again it goes back to backing things up with the technology but also research and awareness so we can see where those skills gaps are. You can see where there's awareness gaps are we can help to fill them. So that's an important part of that particular role bringing the technology in the culture and the education hand in hand together. So it's something I'm really passionate about, and for me sort of related to this, Um, I do a lot of work around S G, um, to the sustainable development goals. In particular, environmental and social governance is something that's becoming much more of a bigger kind of centre stage conversation. I'm an action point in a moment which is fantastic because this is something I've been involved in kind as long as I can remember. So I work directly with organisations like, um Unesco, lots of different professional bodies. It's kind of a huge driver for me. So one thing to kind of look out for that's coming very soon. I'm seeing an issue around around measurement in this area. You know, we're seeing consumers becoming more and more conscious and employees, you know you want to work for by from advocate organisations that have that same value alignment that you have personally and professionally, hugely important. We're seeing some great reports coming out around better e S g measurement. But it can be hard to compare between different organisations, so we are getting more transparency. But it's difficult sometimes to make fare comparisons. Um, so what I'm trying to do a lot of work on at the moment is how you go beyond that transparency to commitment to accountability and that deeper level and that comparability. So I would say kind of to the audience moment, Look out for a bit of a new index. It's going to help people, I think, make those conscious choices make informed choices. So it's something I'm super, super passionate about. I want to try and take that to next level in terms of its actualisation. >>That's awesome. And certainly we'll link to it on our site. All the work you're doing on interviews will put links there as well. We'll make sure we'll follow up on that. Great to have you on. You're such an inspiration. Amazing work, cutting edge work. And I'm I'm super impressed with the cyber studies, and I think this is really important. I have to ask you a final question because you're in the middle of it again with covid and the unfortunate situations we've been living with Covid. And now, obviously with this Ukraine situation that the cyber has been pulled to the front of the agenda and you're seeing a cultural shift. You certainly got Web three. Cyber is now part of everyone's life, and they can see it. They've been seeing it living it. Everything's been pulled forward as a cultural shift happening, okay, and and it's really interesting right now, and I want to get your thoughts because this now people are now aware what cyberwar means cyber security cyber. At home, I have remote work. Cyber has become front and centre or digital. However you want to call it in our lives pulled forward. >>So I'm not even sure in some >>cases, maybe rightfully so, and others. What's your view on this whole cultural cyber being pulled forward? >>It is. It's really, really interesting. And so one of the things I do is I am now ready to a Cyber Insights magazine as well. So we're developing a lot of content pieces around this and lots of things I'm seeing here. So your covid point, I think one of the most interesting things there is around literacy. For example, you remember when we went back to 18 months ago? We're having daily briefings, whether that's from from UK Parliament or the U. S. Equivalent. And different phrases were coming into everyday language driven by the curve or driven by the data. And they're coming into everyday life and people family kitchen table. It was something that hasn't been spoken about before, but suddenly it was driving everyday decision making and what you could and couldn't do. And that's raised awareness. And I think it helped people to ask better questions and to challenge things that they're seeing. And where has that data come from? How has it been presented to have seen that there? I think similarly, where we're having that same understanding and raise of questioning around what we're hearing around cyber as well. You're looking at where that source has come from, and how can we look at that in a different way? So again, I think it's raising that awareness, which is really, really crucial, >>the >>other thing as well around cyber security in particular. And again, I don't think this is talked about as much. When we talk about aspects around inclusion, we talk about diversity equity. Um, I'll see inclusion. I talk about belonging a lot as well. I think there's other aspects around sustainability that Inter relate as well, because when we find, for example, communities that are not included, they tend to be more adversely affected by, for example, climate factors as well. There's an interrelation. They're equally We find that people that haven't got, for example, the same level of cybersecurity protection are also in that same. There's an interrelation across all those elements were not talking about that either. So that's the other thing. I want to kind of bring attention to their again. They aren't separate conversations is a huge crossover between these different conversations and actions that we can do to make a difference. So there's some positive aspects about things that have happened over the last period of time and also some challenges that if we're aware of them, we can work together again, that collaboration piece to be able to overcome them. You know, I've got I've got a book coming out, all for charity called Tech for Good and one of my kind of tag lines. There is around contagion of positive change. Again, let's reframe the language around what's been happening. And let's kind of put that together is something that's far more positive. >>Language is super important, great >>content here. So >>thanks so much for coming. I really appreciate all the great insight and taking the time out of your busy day to to join us here in the Cube. Women in tech Global Event. Thank you so much. >>My absolute pleasure. Thank you. Thank you all for watching. >>Okay. The cubes presentation of women in text. Global event Celebrating International Women's Day. I'm John for a host of the Cube. Thanks for watching

>>Yeah. Hello and welcome to the Cubes Presentation of Women in Tech Global Event Celebrating International Women's Day I'm John for a host of the Cube. We had a great guest in Cuba. Alumni Veranda re vice president. Commercial sales for Europe, Middle East and Africa. EMEA at AWS Amazon Web service to great to see you. Thank you for coming in all the way across the pond and the US to Palo Alto from London. >>Thank you, John. Great to see you again. I'm super excited to be part of this particularly special event. >>Well, this is a celebration of International Women's Day. It's gonna continue throughout the rest of the year, and every day is International Women's Day. But you're actually international. Your women in Tech had a great career. We talk that reinvent. Let's step back and walk through your career. Highlights to date. What have been some of the key things in your career history that you can share? >>Uh, thanks, John. It's always nice to reflect on this, you know? Look, I the way I would classify my career. First of all, it's very it's been very international. I was born and raised in India I went to study in the US It was always a dream to go do that. I did my masters in Boston University. I then worked in the U S. For a good 17 years across A number of tech, uh, tech companies in particular, started my career at McKinsey in the very early days and then moved on to work for E M. C. You'll you'll probably remember them, John. Very well, of course, There now, Del um And then I moved over to Europe. So I've spent the last 18 years here in Europe. Um, and that's been across a couple of different things. I I always classify. Half my career has been strategy, transformation, consulting, and the other half of my career is doing the real job of actually running operations. And I've been, you know, 12 15 years in the tech and telecom sector had the excitement of running Schneider Electric's business in the UK Denniston and Private Equity went back to McKinsey Boomerang, and then a W s called me, and how could I possibly refuse that? So it's been really exciting, I think the one big take away when I reflect on my career is. I've always had this Northstar about leading a business someday, and then I've sort of through my career master set of skills to be able to do that. And I think that's probably what you see. Very eclectic, very mobile, very international and cross industry. Uh, in particular. >>I love the strategy and operations comment because they're both fun, but they're different ones. Very execution, tactical operating. The business strategy is kind of figuring out the future of the 20 mile stare. You know, playing that chess match, so to speak, all great skills and impressive. But I have to ask you, what got you in the tech sector? Why technology? >>Well, so you know, in some ways I kind of fell into it, John, right? Because when I was growing up, my father was always in the tech space, so he had a business and fax machines and he was a reseller of cannon. If you remember Cannon, um, and microfilm equipment and I grew up around him, and he was a real entrepreneur. I mean, always super visionary about new things that were coming out. And so as I followed him around, I said, I kind of wanna be him. And it's a little bit about that sort of role model right early in your career. And then when I moved to the U. S. To study again, it wasn't like I thought I was gonna go to attack. I mean, I wasn't an engineer, you know. I grew up in India with economics degree. That's when women went into We didn't necessarily go into science. But when I joined McKinsey in the early days, I ended up working with, you know, the big companies of the days. You know, the IBMs, the E M. C. Is the Microsoft the oracles, etcetera. So I just then began to love, love the innovation, always being on the sort of bleeding edge. Um, and I guess it was a little bit just fascinating for me not being an engineer to learn how technology had all these applications in terms of how businesses advanced. So I guess, Yeah, that's kind of why I still think it around with it. It's interesting >>how you mentioned how you at that time you pipeline into economics, which is math. Of course. Uh, math is needed for economics, but also the big picture and This is one of the conversation we're having, Uh, this year, the breaking down the barriers for women in tech. Now there's more jobs you don't You don't need to have one pathway into into science or, you know, we're talking stem versus steam arts are super important, being creative. So the barriers to get in are being removed. I mean, if you think about the surface area for technology. So I got to ask you, what barriers do you think Stop girls and young women the most in considering a career in Tech? >>I've got to start with role models, John. Right? Because I think a number of us grew up, by the way, being the only not having the allies in the business, right? All of us, all the all the managers and hiring people are males rather than females. And the fact of the matter is, we didn't have this sort of he for she movement. And I think that's the biggest barrier is not having enough role models and positive role models in the business. I can tell you that research shows that actually, when you have female role models, you tend to hire more and actually what employees say is they feel more supportive when they have actually female managers. So I think there are lots of goodness, but we just need to accelerate how many role models we have. I think the other things I will say to you as well is, if you look at just the curriculum and the ability to get women into stem, right, I mean, we need to have colleges, universities, schools also encouraging women into stem. And you've probably heard about our programme. You know, it's something we do to encourage girls into stem. I think it's really important that teachers and others are actually encouraging girls to do math, for example, right? It's not just about science. Math is great. Logic is great, by the way. Philosophy is great. I just love what you said. I think increasingly, the EQ and EQ parts have to come together, and I think that's what women excel at. Um, so I think that's another very, very big carrier, and then the only other thing I will say is we're gonna watch the language we use, like when I think about job descriptions, they tend to be very male oriented languages we look at CVS now, if you haven't been a female in tech for a long time, your CV isn't going to show a lot of tech, is it? So for recruiters out there, look for competencies. Look for capabilities. You mentioned strategy and arts earlier. We have this leadership principles, As you know, John, really well, think big and dive deep, right? That strategy and operations. And so I think we we need to recruit for that. And we need to recruit for culture. And we need to recruit for people with ambition, an aspiration and not always Just look at 20 years of experience because you're not gonna find it. So I think those are some of the big barriers. Um, that I that I at least think, is stopping women from getting into town. But the biggest one is not enough women at the top hiring women. >>I think people want to see themselves, or at least an aspirational version of what they could be. And I think that's only gonna get better. Lots changed. A lot has happened over the years, but now, with technology in everyone's life, covid pulled forward a lot of realities. You know, the current situation in Europe where you're you are now has pulled forward a lot of realities around community, cyber, digital, our lives. And I think this opens up new positions, clearly cybersecurity. And I'm sure the job boards in every company is hiring people that didn't exist years ago, but also this new problems to solve. So the younger generation coming up, um, is gonna work on these problems, and they need to have role models. So what's your reaction to that? You know, new problems are opportunities their new so usually solved by probably the next generation. Uh, they need mentors. All this kind of works together. What's your reaction? >>Yeah, and, you know, let me pick up on something we're doing that I think is really important. I think you have to address age on the pipeline problem, you know, because they're just is a pipeline problem, you know, at the end of the day, And by that, what I mean is, we need to have more and more people with the and I'm not gonna use the word engineering or science. I'm going to use the word digital skills, right? And I think what we've we've committed to doing, John, you know, I'm very proud of this is we said we're gonna train 29 people 29 million people around this world on digital skills for free by 2025. Right, That's gonna help us get that pipeline going. The other thing we do is something called Restart where we actually do 12 weeks of training for the under, employed and under served right and underrepresented communities. And that means in 12 weeks we can get someone. And you know, this case I talk to you about this before I love it. Fast food operator to cloud, right? I mean, that's that's what I call changing the game on pipeline. But But here's the other stand. Even if the pipeline is good and we often see that the pipeline can be as much as 50% at the very early career women, by the time you get into the C suite, you're not a 50 anymore. You're less than 20%. So the other big thing John there, and this comes back to the types of roles you have an opportunities you create. We've got to pull women through the pipeline. We've really got to encourage that there are sponsors and not just mentors. I think women are sorry to say this over mentored and under sponsored. We need more people say I'm gonna open the door for you and create the opportunity I had that advantage. I hit people through my career. By the way, they were all men, right? Who actually stood out there and bang on the door and said, Okay, Tunisia is gonna go do this. And my first break I remember was having done strategy all my life when the CEO come into the room and you said, You're gonna better locks and you're gonna go run the P and L in Benelux and I almost fainted because I thought, Oh, my God, I've never run a PNR before But it's that type of risk taking that's going to be critical. And I think we've got to train our leaders and our managers to have those conversations be the sponsors, get that unconscious bias training. We all have it. Every single one of us has it. I think those are the combinations of things that are going to actually help open the door and make a see that Actually, it's not just about coding. It's actually about sales. It's about marketing. It's about product management. It's about strategy. It's about sales operations. It's about really, really thinking differently about your customers, right? And that's the thing that I think is attractive about technology. And you know what? Maybe that leads you to eventually become a coder. Or maybe not. Maybe you enter from coding, but those are all the range is available to you in technology, which is not good at advertising, >>that there's more applications than ever before. But I love your comment about over mentoring and under sponsored. Can you quickly just define the difference between those two support elements sponsoring versus, uh, mentoring sponsoring >>So mentors And by the way they can range from my son is my mentor, you know, is a great reverse mentor. By the way, I really encourage you to have the reverse mentoring going. So many mentors are people from all walks of your life, right? And you should have, you know, half a dozen of those. At least I think right who are going to be able to help you deal with situations, help coach you give you feedback respond to concerns You're having find ways for you to navigate all the stuff you need, by the way. Right? And feedback the gift we need that sponsors. It's not about the feedback. Necessarily. It's people who literally will create opportunities for you. Mentors don't necessarily do that. Sponsors will say you You know what? We got the phone. Call John and say, John, I've got the perfect person for you. You need to go speak to her. That's the big difference. John and a couple of sponsors. It's not about many, >>and that's where the change happens. I love that comment. Good call. I'm glad I could double down on that. Now that you have the environment, pipeline and working, you have the people themselves in the environment getting better sponsors and mentors, hopefully working more and more together. But once they're in the environment, they still got to be part of it. So as girls and young women and to the working sector for tech, what advice would you give them? Because now they're in the game there in the arena. So what advice would you give them? Because the environments they are now >>yeah, yeah. I mean, Gosh, John, it's you know, you've lived your career in this space. It's an exciting place to be right. Um, it's a growth opportunity. And I think that's a really important point because the more you enter sectors where there's a lot of growth and I would say hyper right growth, that's just gonna open the doors to so many more things. If you're in a place where it's all about cost cutting and restructuring, do you know what? It's super hard to really compete and have fun, right? And as we say, make history. So it's an exciting place. Today's world transformation equals digital transformation, right? So tech is the place to be, because tech is about transformation, Right? So coming in here, the one advice I would give you is Just do it because believe me, there's so much you can do, like take the risk, find someone is going to give you that entree point and get in the door right? And look, you know what's the worst that could happen? The worst that could happen is you don't like it. Fine. There's lots of other things than to go to. So my advice is, you know, don't take the mm. The really bad tips I've received in my career, right? Don't let people tell you you can't do it. You're not good enough. You don't have the experience, right? It's a male's world. You're a woman. It's all about you and not about EQ. Because that's just rubbish, Frankly, right. The top tip I was ever given was actually to take the risk and go for it. And that was my father. And then all these other sponsors I've had around the way. So that's that's the one thing I would say. The other thing I will say to you is the reason I advise it and the reason you should go for it. It's purposeful. Technology is changing our lives, you know, And we will all live to be no longer. 87 I think 100 right? And so you have the opportunity to change the course of the world by coming to technology. The vaccine deployment John was a great example, right? Without cloud, we couldn't have launch these vaccines as fast as we did. Right? Um, so I think there's a tonne of purpose. You've got to get in and then you've got to find. As I said, those sponsors, you've got to find those mentors. You've got to not worry about vertical opportunities and getting promoted. You gotta worry about horizontal opportunities, right? And doing the things that I needed to get the skills that you require, right? I also say one thing. Um, don't Don't let people tell you not to speak up, not to express your opinion. Do all of the above be authentic, Be authentic style. You will see more role models. Many, many more role models are gonna come out in tech that are going to be female role models. And actually, the men are really stepping up to the role models. And so we will be better together. And here's the big thing. We need you. We can do this without women. There's no possible way that we will be able to deliver on the absolute incredible transformation we have ahead of us without you. >>Inclusion, Diversity equity. These are force multipliers for companies. If applied properly, it's competitive advantage. And so breaking the bias. The theme this year is super super important. It sounds like common sense, but the reality is you break the bias It's not just women as men, as all of us. What can we do? Better to bring that force multiplier capabilities and competitive advantage of inclusion, diversity, equity to business. >>So the first thing I would say and my doctor used to always tell me this if it hurts, don't do it right. I would say to you just do it. Get diverse teams in place because if you have diverse teams, you have diversity of thought. You don't have to worry as much about bias because, you know, you've got the people around the table who actually represent the world. We also do something really cool. We have something called biassed busters. And so in meetings we have bias borders. People are going to, like, raise their hand and say, I'm not sure that that was really meant the way it was supposed to be, So I think that's just a nice little mechanism that we have here, Um, in a W s that helps. The other thing I would say to you is being your authentic self. You can't be a man and mentioned be women, and you're not gonna replicate somebody else because you're never gonna succeed if you do that, you know? So I would say be your authentic self all of the time, You know, we know. We know that women are sometimes labelled as aggressive when they're really not. Don't worry about it. It's not personal. I think the main thing you have to do is and I advise women all the time Is calibrate the feedback you're getting okay? Don't catastrophizing it right. Calibrate it. Taken in, you don't have to react to every feedback in the world, right? And make sure that you're also conscious of your own biases, right? So I think those are my Those are my two cents John for what they were for breaking device. I love the thing. >>Be yourself, You know, Don't take it too personal. Have some fun. That's life. That's a life lesson. Um, Final question, while I got you here, you're a great inspiration, and you're a great role model. You're running a very big business for Amazon web services. Europe, Middle East and Africa is a huge territory. It's its own thing. It's It's like you're bigger than some companies out there. Your role in your organisation. What's the hot area out there you were talking before camera. That's emerging areas that you're focused on. People are watching this young women, young ladies around the world. We're gonna look at this and say, What wave should I jump on? What's the hot things happening in in Europe? Middle Eastern Africa? >>I think the three things I would mention and I'm sure there's I'm sure, John, as we've spoken to my peers across the other gos, right, there are some similarities. The very, very hot thing right now is sustainability. Um, and you know, people are really building sustainability into their strategy. It's no longer sort of just an E S G goal in itself. It's actually very much part of changing the way they do business. So I think that's the hard part. And that's why again, I think it's a phenomenal place to be. I think the other big thing that we're absolutely talking about a lot is, and you know, this is getting even more complicated right now is just around security and cyber security and where that's going and how can we be really thinking about how we address some of these concerns that are coming out and I think there's There's something. There's a lot to be said about the way we build our infrastructure in terms of that context. So I think that's the second one. I think the third one is. People are really looking at technology to change the way businesses operate. So how does HR operate? How do you improve your employee value proposition? How do you do marketing in the next generation? How do you do finance in the next generation? So across the business is no longer the place of I t. It really is about changing the way we are as businesses and all of us becoming tech companies at the core. So the big thing there, John, is data data at the heart of everything we do data not because it's there in front of you, but data because you can actually make decisions on the back of it. So those are the things, Um, I seem to come across a lot more than anything else. >>It's always great to talk to you, your senior leader at AWS, um, inspirational to many. And thank you for taking the time to speak with us here on this great event. Women in text. Global Celebration of International Women's Day. Thank you so much for your time. >>Thank you, John. Always great to talk to you. >>We will definitely be keeping in touch More storeys to be had and we're gonna bring it to you. This is the cubes continuing presentation of women in tech. A global event celebrating International Women's Day. I'm John for your host. Thanks for watching. Yeah.

>>Live from Stanford university on your host. Lisa Martin. My next guest joins me with many I, our corporate vice president at Microsoft, Rick Minnie. It's great to have you on the program. Thank you for having me. Tell me a little bit about your background. So you run Microsoft advertising, engineering organizations. You also manage a multi-billion dollar marketplace globally. Yes. Big responsibilities. >>A little bit >>About you and your role at Microsoft. >>So basically online advertising, you know, funds a lot of the consumer services like search, you know, feeds. And so I run all of the online advertising pieces. And so my team is a combination of machine learning in theory, software engineers, online services. So you think of you think of what needs to happen for running an online advertising ecosystem? That's billions of dollars. I have all these people on my team when I get to work with these fantastic people. So that's my >>Roles. We have a really diverse team. >>Yes. My background itself is in AI. So my PhD was in language modeling and natural language processing. That's how I got into the space. And then I did, you know, machine learning. Then I did some auctions and then I'd, you know, I basically have touched almost all pieces of the puzzle. So from, I appreciate what's required to run a business the size. And so from that perspective, you know, yeah, it is a lot of diverse people, but at the same time, I feel like I know what they do >>Right then interdisciplinary collaboration must be incredibly important and >>Powerful. It is. I mean, for machine learning engineer or machine learning scientists to be successful, when you're running a production system, they have to really appreciate what constraints are there, you know, required online. So you have to look at how much CPU you use, how much memory you need, how fast can your model inference run with your model. And so they have to work very closely with the soft, soft engineering field. But at the same time, the software engineering guys need to know that their job is not to constrain the machine learning scientists. So, you know, as the models get larger, they have to get more creative. Right. And if that balance is right, then you get a really ambitious product. If that balance is not right, then you end up with a very small micro micro system. And so my job is to really make sure that the team is really ambitious in their thinking, not always liking, pushing the borders of what can be done. >>I like that pushing the borders of what can be done. You know, we, we often, when we talk about roles in, in stammered technology, we've talked about the hard skills, but the soft skills you've mentioned creativity. I always think creativity and curiosity are two soft skills that are really important in data science and AI. Talk to me about what your thoughts are. There >>Definitely creativity, because a lot of the problems that you, you know, when you're in school, the problems you face are very theoretical problems. And when you go into the industry and you realize that you need to solve a problem using the theory you learned, then you have to either start making different kinds of assumptions or realize that some assumptions just can be made because life is messy and online. You know, users are messy. They don't all interact with your system the same way. So you get creative in what can be solved. And then what needs to be controlled and folks who can't figure that piece out, they try to solve everything using machine learning, and they become a perfectionist, but nothing ever gets done then. So you need this balance and, and creativity plays a huge role in that space. And collaboration is you're always working with a diverse group of people. So explaining the problem space to someone who's selling your product, say someone is, you know, you build this automated bidding engine and they have to take this full mouth full and sell it to a customer. You've got to give them the terminology to use, tell, explain to them what are the benefits if somebody uses that. So I, I feel people who can empathize with the fact that this has to be explained, do a lot better when they're working in a product system, you know, bringing machine learning to a production system. >>Right. There's a lot of enablement >>There. Yes, exactly. Yeah. Yeah. >>Were you always interested in, in stem and engineering and AIS from when you were small? >>Somewhat? I mean, I've been, I got to my college degree. I was very certain by that point I wanted to be an engineer and my path to AI was kind of weird because I didn't really want to do computer science. So I ended up doing electrical engineering, but in my last year I did a project on speech recognition and I got introduced to computer programming. That was my first introduction to computer programming at the end of it, I knew I was going to work in the space. And so I came to the U S with less than three or four months of a computer engineering background. You know, I barely knew how to code. I had done some statistics, but not nearly enough to be in machine learning. And, but I landed in a good place. And I came to be in Boston university and I landed in a great lab. And I learned everything on my feet in that lab. I do feel like from that point onwards, I have always been interested and I'm never satisfied with just being interested in what's hot right now. I really want to know what can be solved later in the future. So that combination, I think, you know, really keeps me always learning, growing, and I'm never happy with just what's being done. >>Right? Yeah. We here, we've been hearing a lot about that today at weds. Just the tremendous opportunities that are here, the opportunities for data science, for good drones, for good data science and AI in healthcare and in public transportation. For example, you've been involved in with winds from the beginning. So you've gotten to see this small movement grow into this global really kind of is a >>Phenomenon. It is, >>It's a movement. Yes. You talk to me about your involvement with winds from the beginning and some of the things that you're helping them do. And now, >>So I, I first met Karen and marble initially when I was trying to get students from ICME to apply for roles in Microsoft. I really thought they had the right mix of applied and research mindset and the skill sets that were coming out of ICME rock solid in their math and theoretical foundations. So that's how I got to know them. And then they were just thinking about bids at that point in time. And so I said, you know, how can I help? And so I think I've been a keynote speaker, Pam list run a workshop. And then I got involved with the woods high school volunteer effort. And I'd say, that's the most rewarding piece of my visit involvement. And so I've been with them every year. I never Ms. Woods. I'm always here. And I think it is, you know, Grace Hopper was the technology conference for women and, and it's, it's, it's an awesome conference. I mean, it's amazing to sit next to so many women engineers, but data science was a part of it, but not a critical part of it. And so having this conference, that's completely focused on data science and making it accessible. The talks are accessible, making it more personable to, to all the invitees here. I think it creates a great community. So for me, I think it's, I hope they can run this and grow this for >>Yeah. Over 200 online events this year in 60 countries, they're aiming to reach a hundred thousand people annually. It's, it's grown dramatically in a short time period. Yes, >>Absolutely. Yeah. It hasn't been that long. It hasn't been that long and every year they add something new to the table. So for this year, I mean last year I thought the high schoolers, they started bringing in the high schoolers and this year again, I thought the high school. >>Yeah, >>Exactly. And I think the mix of getting data science from across a diversity, because a lot of the conferences are very focused. Like, you know, they, they will be the focused on healthcare and data science or pure AI or pure machine learning. This conference has a mix of a lot of different elements. And so attendees get to see how it's something is being used in healthcare and how something is being used in recommendations. And I think that diversity is really valuable. >>Oh, it's hugely valuable that the thought diversity is this is probably the conference where I discovered what thought diversity was if only a few years ago and the power and the opportunities that it can unlock for people everywhere for businesses in any industry. Yes. >>I want to kind of play off one of the things you said before, you know, data science for good, the, the incredible part of data sciences, you can do good wherever you are with data science. So take online advertising, you know, we build products for all advertisers, but we quickly figured out that are really large advertisers. They have their own data science teams and they are optimizing and, you know, creating new ads and making sure the best ads are serving at all times. They have figured out, you know, they have machine learning pipelines, so they are really doing their best already. But then there's this whole tale of small advertisers who just don't have the wherewithal or the knowledge to do any of that. Now, can you make data, use data science and your machine learning models and make it accessible for that long table? Pretty much any product you build, you will have the symptom of heavy users and then the tail users. And can you create an experience that is as valuable for those tailored users as it is for the heavy users. So data science for good exists, whatever problem you're solving, basically, >>That's nice to hear. And so you're going to be participating in some of the closing remarks today. What are some of the pearls of wisdom that you're going to enlighten the audience with today? >>Well, I mean the first thing I, to tell this audiences that they need to participate, you know, in whatever they shaped form, they need to participate in this movement of getting more women into stem and into data science. And my reasoning is, you know, I joined the lab and my professor was a woman and she was very strong scientists, very strong engineer. And that one story was enough to convince me that I belong. And if you can imagine that we create thousands of these stories, this is how you create that feeling of inclusion, where people feel like they belong. Yeah. Look, just look at those other 50 people here, those other a hundred stories here. This is how you create that movement. And so the first thing I want the audience to do is participate, come back, volunteer, you know, submit papers for keynote speeches, you know, be a part of this movement. >>So that's one. And then the second is I want them to be ambitious. So I don't want them to just read a book and apply the theory. I really want them to think about what problem are they solving and could they have solved it in the, in the scale manner that it can be solved. So I'll give a few examples and problems and I'll throw them out there as well. So for instance, experimentation, one of the big breakthroughs that happened in a lot of these large companies in data science is experimentation. You can AB experiment pretty much anything. You know, we can, Google has this famous paper where they talk about how they experimented with thousands of different blues just to get the right blue. And so experimentation has been evolving and data scientists are figuring out that if they can figure out interactions between experiments, you can actually run multiple experiments on the same user. >>So at any given time, you may be subject to four or five different experiments. Now, can we now scale that to infinity so that you can actually run as many experiments as you want questions like these, you shouldn't stop with just saying, oh, I know how AB experimentation works. The question you should be asking is how many such experiments can I run? How do I scale the system? As one of the keynote speakers initially talked about the unasked questions. And I think that's what I want to leave this audience with that don't stop at, you know, answering the questions that you're asked or solving the problems. You know, of you think about the problems you haven't solved your blind spots, you know, those blind spots and that I think I want ambitious data scientists. And so that's the message I want to give this audience. >>I can feel your energy when you say that. And you're involved with, with, with Stanford program for middle school and high school girls. If we look at the data and we see, there's still only about a quarter of stem positions are filled by females, what do you see? Do you see an inspiring group of young women in those middle school and high school girls that, that you see we're, we're on trend to start increasing that percentage. >>So I had a high schooler who just went, you know, she, she, she just, she's at UCLA now shout out to her and she, but she just went through high school. And what I realized is it's the same problem of not having enough stories around you, not having enough people around you that are all echoing the sentiment for, Hey, I love math. A lot of girls just don't talk about us. Yeah. And so I think the reason I want to start in middle school and high school is I think the momentum needs to start there. Yes. Because they get to college. And actually you heard my story. I didn't know any programming until I came here and I had already finished my four years of college and I still figured it out. Right. But a lot of women lose confidence to change fields after four years of college. >>Yes. And so if you don't catch them in early and you're catching them late, then you need to give them this boost of confidence or give them that ramp up time to learn, to figure out, like, I have a few people who are joining me from pure math nowadays. And these kids, these kids come in and within six months they're off and running. So, you know, in the interview phase, people might say, oh, they don't have any coding skills. Six months later, if you interview them, they pick up coding skills. Yeah. And so if you can get them started early on, I think, you know, they don't have this crisis of confidence of moving, changing fields. That's why I feel, and I don't think we are there yet, to be honest, I don't think yet. I think >>You still think there are plenty of girls being told. Now you can't do computer science. No, you can't do physics. No, you can't do math. >>Actually. They are denying it to themselves in many cases because they say, Hey, I go to physics class and there are two boys, two girls out of 50 boys. And I don't think girls are in, you know, you get the stereotype that maybe girls are not interested in physics. And it's not about, Hey, as a girl, I'm doing really well in physics. Maybe I should take this as my career. So I do feel we need to create more resounding stories in the area. And then I think we'll drum up that momentum. That's >>A great point. More stories, more and names to success here so that she can be what she can see exactly what many it's been great having you on the program. Thank you for joining me and sharing your background and some of the pearls of wisdom that you're gonna be dropping on the audience shortly today. We appreciate your insights. Thank you. My pleasure. Who Rick, Minnie, I are. I'm Lisa Martin. You're watching the cubes coverage weds 2022. We'll be right back after a short break.

>>Hello, and welcome to the cube unstoppable Doneen showcase. I'm John furrier, host of the cube. We got a great discussion here called the influencers around what's going on in web three and also this new sea change cultural change around this next generation, internet web cloud, all happening, Jeremiah yang industry analyst, and founding part of the cleaner insights. Share my great to see you. Thanks for coming on. Appreciate it. Uh, registered vice-president of marketing at unstoppable domains in the middle of all the actions. Gentlemen, thanks for coming on on the cube for this showcase. >>My pleasure. So I think it was done >>At Jeremy. I want to start with you. You've seen many ways, but fallen all of your work for over a decade now. Um, you've seen the web 2.0 wave. Now the web three's here. Um, and it's not, I wouldn't say hyped up. It's really just ramping up and you're seeing real practical examples. Uh, you're in the middle of all the action. What is this web three? Can you frame for us that mean you've seen many waves? What is web three mean? What is it? What is it all about? >>Well, John, you and I worked in the web to space and essentially that enabled peer to peer media where people could, could upload their thoughts and ideas and videos, um, without having to rely on centralized media. And unfortunately that distributed and decentralized movement actually became centralized on the platforms or the big social networks and big tech companies. And this has caused an uproar because the people who are creating the content did not have control, could not control their identities and could not really monetize or make decisions. So web three is what is, which is a moniker of a lot of different trends, including crypto blockchain. And sometimes the metaverse is to undo the controlling that has become centralized. And the power is now shifting back into the hands of the participants again, and then this movement, they want to have more control over their identities, their governance, the content that they're creating, how they're actually building it and then how they're monetizing it. So in many ways, it's, it's changing the power and it's a new economic model. So that's web three without really even mentioning the technologies. Is that helpful? >>Yeah, that's great. And ran. We were talking about, on the cute many times and one notable stat, I don't think it's been reported, but it's been more kind of a rumor. I hear that 30% of the, um, Berkeley computer science students are dropping out and going into crypto or blockchain or decentralized startups, which means that this there's a big wave coming in of talent. You seeing startups, you're seeing a lot more formation. You're seeing a lot more, I would say, kind of ramping up of real people, not just, you know, people with a dream it's actual builders out here doing stuff. What's your take on the web three, moving with all this kind of change happening, uh, from people and also the new ideas being refactored. >>I think that the competition for talent is extremely real. And we start looking at the stats. We see that there is an draft of people that are moving into this space. People that are fascinated by technology and are embracing the ethos of web three. And at this stage, I think it's not only engineers and developers, but we have moved into a second phase where we see that a lot of supporting functions know marketing, being one of them, sales, business development, uh, are being built up quite rapidly. It's not without actually reminding me of the mid two thousands. You know, when I started, uh, working with Google at that point in time, the walled gardens rightly absorbing vast, vast cohorts of young graduates and more experienced professionals that are passionate and moving into the web environment. And I think we are seeing a movement right now, which is not entirely dissimilar, except >>Yeah, Jeremiah. You've seen the conversations over the cloud. I call the cloud kind of revolution. You had mobile in 2007, but then you got Amazon web services changed the application space on how people developed in the cloud. And again, that created a lot of value. Now you're seeing the role of data as a huge part of how people are scaling and the decentralized movement. So you've got cloud, which is kind of classic today. State-of-the-art, you know, enterprise and or app developers and you've got now decentralized wave coming. Okay. You're seeing apps being developed on that, that architecture data is central in all of this, right. So how do you view this? As, as someone who's watching the landscape, you know, these walled gardens are hoarding all the data. I mean, LinkedIn Facebook, they're not sharing that data with anyone they're using it for themselves. So as they can control back, comes to the forefront, how do you see this market with the applications and what comes out of that? >>So the thing that we've seen and out of the five things that I had mentioned that are decentralizing, the ones that have been easier to move across have been the ability to monetize and to build. But the data aspect has actually stayed pretty much central. Frankly. What has decentralized is that the contracts to block blockchain ledgers to those of decentralized. But the funny thing is often a big portion of these blockchain networks are on Amazon 63 to 70%, same thing with Stelara. So they're still using the web 2.0 architectures. However, we're also seeing other farms like IPFS, where the data could be to spread it across a wider range of folks. But right now we're still dependent on what we're to point out. So the vision and the problem with 3.0, when it comes to full de-centralization is not here by any means. I'd say we're at a web 2.2, five, >>Pre-web 3m, no actions there. What do you guys, how do you guys see the, um, the dangers? Cause there's a lot of negative press, but also is a lot of positive press. You seeing, you know, a lot of fraud, we've seen a lot of the crypto fraud over the past years. You've seen a lot of now positives, it's almost a self-governance thing and environment, the way the culture is, but what are the dangers? How do you guys educate people? What should people pay attention to? What should people look for to understand, you know, where to position themselves? >>Yes. So we've learned a lot from web one, we to the sharing economy and we are walking into two and three with eyes wide open. So people have rightfully put forth a number of challenges, the sustainability issues with excess using of computing and mining, the, um, the excessive amount of scams that are happening in part due to unknown identities. Um, also the architecture breaks down in certain periods and there's a lack of regulation. Um, this, this is something different though in the last, uh, uh, periods that we've gone through, we didn't really know what was gonna happen. And we walked in big, this is going to be great. The sharing economy, the gig economy, the social media is going to change the world. Hurrah is very different. Now people are a little bit jaded. So I think that's the big change. And so I think we're going to see that, uh, you know, soar it out and suss out just like we've seen with other prints. It's still very much in the early years, >>Right. I got to get your take on this whole, uh, should influencers and should people be anonymous or should they be doxed out there? You saw the board eight guys that did, that were kind of docs a little bit there and that went, went viral. Um, this is an issue, right? Because we, we just had a problem of fake news, uh, fake people, fake information, and now you have a much more secure environment. Immutability is a wonderful thing. It's, it's a feature, not a bug, right. So how is this all coming down? And I know you guys are in the middle of it with, uh, NFTs as, as authentication tickets. What's your take on this because this is a big issue. >>Look, I think first I am extremely optimistic about technology in general. Uh, so I'm super, super bullish about this. And yet, you know, I think that while crypto has so many upsides, it's important to be super conscious and aware of the downsides that come with it too. You know, if you think about every fortune 500 company, there is always training required by all employees on internet safety reporting of potential attacks. And so on in web three, we don't have that kind of standard reporting mechanisms yet, uh, for bad actors in that space. And so when you think about influencers in particular, they do have a responsibility to educate people about, uh, the potential, but also the dangers of the technology of web three, uh, of crypto basically, uh, whether you're talking about hacks online safety, the need for hardware impersonators on discord, uh, security, uh, storing your, your seed phrase. >>So every actor in France or ELs has got a role to play. I think that, uh, in that context, to your point, it's very hard to tell whether influencers should be, uh, anonymous, opposite inverse or footy dogs. The decentralized nature of web three will probably lead us to see a combination of those anonymity levels, um, so to speak, um, and the, uh, movements that we've seen around some influencers, identities becoming public are particularly interesting. I think there's probably a convergence of web two and web three at play here. You know, maybe a on the notion of 2.5 for, I think in way to all business founders and employees are known and they're held accountable for their public comments and actions. Um, if web three enables us to be anonymous, if dials have 14 control, you know, what happens if people make comments and there is no way to know who they are basically, uh, what if the dowel doesn't take appropriate action? I think eventually there will be an element of community self-regulation where influencers will be, uh, acting in the best interest of their reputation. And I believe that the communities will self regulate themselves and we'll create natural boundaries around what can be said or not. >>I think that's a really good point about, um, influencers and reputation because Jeremiah doesn't matter that you're anonymous. I have an icon that could be a NFT or a picture, but if I have an ongoing reputation, I have trust there's trust there. It's not like a, you know, just a bot that was created just to spam someone. It was just, you know what I'm saying? They getting into you getting into this new way. >>You're right. And that, that word you said, trust, that's what really, this is about. But we've seen that public docks people with their full identities have made mistakes. They have pulled the hood over people's faces in and really scammed them out of a lot of money. We've seen that in it that doesn't change anything in human behavior. So I think over time that we will see a new form of a reputation system emerged even for pseudonyms and perhaps for people that are just anonymous that only show their a potential, a wallet address, a series of numbers and letters. Um, that form might take a new form of a web 3.0 FICO score, and you can look at their behaviors. Did they transact? You know, how do they behave? Do they, were they involved in projects that were not healthy? And because all of that information is public on the chain and you can go back in time and see that we might see a new form of, of, of a scoring emerge. >>Of course, who controls that scoring that's a whole nother topic, gong on control and trust. So right now, John, we do see that there's a number of projects, new NFG projects, where the founders will claim and use this as a point of differentiation that they are fully docs. So you know who they are and their names. Secondly, we're seeing a number of, um, uh, products or platforms that require KYC, know your customer so that self-identification often with a government ID or a credit card in order to bridge out your, your coins and turn that into a Fiat. In some cases that's required in some of these marketplaces. So we're seeing a coalition here between, uh, full names and pseudonyms and being anonymous. >>That's awesome. And that, and I think this is the new, again, a whole new form of governance ran. You mentioned some comments about Dow. So I want to get your thoughts again, you know, Jeremiah, we become historians over the years. We're getting old, I'm a little bit older than you, but we've seen the movie war. You know, I remember breaking in the business when the computer standards bodies were built to be more organic, and then they became much more of a kind of an anti-innovation environment where people, the companies would get involved the standards organization just to slow things down and muck things up a little bit. Um, so you know, you look at Dallas like, Hmm, is a Dal, a good thing, or a bad thing that the answer is from people I talked to, is it depends. So I'd love to get your thoughts on getting momentum and becoming defacto with value, a value proposition. Vis-a-vis just adapt for the sake of having a doubt. This has been a conversation that's been kind of in the inside the baseball here, inside the ropes of the industry, but there's trade-offs, can you guys share your thoughts on when to do a Dow and when not to do a Dow and the benefits and trade-offs of that? >>Sure. Maybe I'll start off with a definition and then we'll go to rent. So a Dao, a decentralized autonomous organization, the best way to think about this. It's a digital cooperative and we've heard of worker cooperatives before the differences that they're using blockchain technologies in order to do the three things, identity governance, and rewards and mechanisms. They're relying on web 2.0 tools and technologies like discord and telegram and social networks to communicate. And there's a cooperative they're trying to come up with a common goal, um, Ren, but what's your take, that's the setup? >>So, you know, for me, when I started my journey into crypto and web tree, I had no idea about, you know, what that actually meant and, uh, an easy way for me to think of it and to grasp the nature of it was about the comparison between a dowel and perhaps a more traditional company structure. Um, you know, in a traditional company structure, you have a Yorkie, the company is led by a CEO and other executives, uh, that that was a flat structure. And it's very much led by a group of core contributors. So, uh, to Jeremiah's point, you know, you get that notion of a co-operative, uh, type of structure. The decision-making is very different. You know, we're talking about a hot, super high level of transparency proposals getting submitted and, and voting systems, using applications, as opposed to, you know, management, making decisions behind closed doors. >>I think that speaks to a totally new form of governance. And I think we have hardly, hardly scratched the surface. We have seen recently, uh, very interesting moments in web tree culture. And we have seen how that was suddenly have to make certain decisions and then come to moments of claiming responsibility, uh, in order to, uh, put his behavior, uh, of some of the members. I think that's important. I think it's going to redefine how we're thinking about that, particularly new governance models. And I think he's going to pave the way for a lot of super interesting structure in the near future. >>That's a great point, ran around the transparency for governance. So John, you posed the question, does this make things faster or slower? And right now most dowels are actually pretty slow because they're set up as a flat organization. So as a response to that, they're actually shifting to become representative democracies. Does that sound familiar where you can appoint a delegates and use tokens to vote for them? And they have a decision power, almost like a committee and they can function. And so we've seen actually there are some times our hierarchies, except the person at the top is voted by those that have the tokens. In some cases, the people at the top had the most tokens, but that's a whole nother topic. So we're seeing a wide variety of governance structures, >>You know, rent. I was talking with Matt G the founder of, and I was telling him about the domain name system. And one little trivia note that many people don't know about is that the U S government cause unit it was started by the U S the department of commerce kept that on tight leash because the international telecommunications union wanted to get their hands on it because of ccTLDs and other things. So at that time, because the innovation yet wasn't yet baked out. It was organically growing the governance, the rules of the road, keeping it very stable versus meddling with it. So there's certain technologies that require Jeremiah that let's keep an eye on as a community. Let's not formalize anything like the government did with the domain name system. Let's keep it tight. And then finally released it, I think multiple years after 2004, I think it went over to the, to the ITU, but this is a big point. I mean, if you get too structured, organic innovation, can't go, what you guys' reaction to that. >>So I think to take a stab at it, um, we have as a business, you know, thinking of unstoppable domains, a strong incentive to innovate, uh, and this is what is going to be determining longterm value growth for the organization for, uh, partners, for users, for customers. So, you know, that degree of formalization actually gives us a sense of purpose and a sense of action. And if you compare that to Dows, for instance, you can see how some of the upsides and downsides can pan out either way. It's not to say that there is a perfect solution. I think one of the advantages of the Dow is that you can let more people contribute. You can probably remove bias quite effectively, and you can have a high level of participation and involvement in decisions and all the upside in many ways. Um, you know, as a company, it's a slightly different setup. We have the opportunity to coordinate a very, uh, diverse and part-time workforce in a very, uh, you know, different way. Um, and we do not have to deal with the inefficiencies that might be, you never run to some form of extreme decentralization so that those are balanced from an organizational structure, uh, that comes, uh, either side >>Sharon. I want to get your thoughts on, on, on a trend that you've been involved in. We both been involved in, and you're seeing it now with the kind of social media world, the world of a role of an influencer it's kind of moved from what was open source and influencer was a connect to someone who shared graded content, um, enabled things to much more of a vanity that the photo on Instagram and having a large audience. Um, so is there a new influencer model with web three or is it, is it the, I control the audience I'm making money that way. Is there a shift in the influencer role or, or ideas that you see that should be in place for what is the role of an influencer? Because as web three comes, you're going to see that role become instrumental. We've seen it in open source projects, influences, you know, the people who write code or ship code. So what's your take on that because there's been a conversation with people who have been having the word influencer and redefining and reframing it. >>Sure. The influence model really hasn't changed that much, but the way that they're behaving has when it comes to at three, this market, I mean, there's a couple of things. Some of the influencers are in investors. And so when you see their name on a project or a new startup, that's an indicator, there's a higher level of success. You might want to pay more attention to it or not. Secondly, influencers themselves are launching their own NFC projects. Gary Vaynerchuk, a number of celebrities, Paris Hilton is involved and they are also doing this as well. Steve Aoki, a famous DJ launched his as well. So they're going head first and participating in building in this model. And there are communities are coming around them and they're building economies. Now the difference is it's not, I speak as an influencer to the fans. The difference is that the fans are now part of the community and they hold, they literally holding own some of the economic value, whether it's tokens or the NFTs. So it's a collaborative economy, if you will, where they're all benefiting together. And that's a, that's a big difference as well. Lastly, there's, there's one little tactic we're seeing where marketers are airdropping in FTS, branded NFTs influencers with wallet. So you can see it in there. So there's new tactics that are forming as well. Yes. >>Super exciting. Ren, what's your reaction to that? Because he just hit on a whole new way of, of how engagement's happening, how people are closed, looping their, their votes, their, their votes of confidence or votes with their wallet. Um, and some brands which are artists now, influencers. I mean, this is a whole game-changing instrumentation level. >>I think that's what we are seeing right now is super re invigorating as a marketeer who has been around for a few years, basically. Um, I think that the shift in the web brands are going to communicate and engage with our audiences is profound. It's probably as revolutionary and even more revolutionary than the movement for, uh, brands in getting into digital. And you have that sentiment of a gold rush right now with a lot of brands that are trying to understand NFTs and, and how to actually engage with those communities and those audiences, um, dominate levels in which brands and influencers are going to engage. There are many influencers that actually advanced the message and the mission because the explosion of content on web tree has been crazy. Part of that is due to the network effect nature of crypto, because as Jeremiah mentioned, people are incentivized to promote projects, holders of an NFTA, also incentivized to promote it. So you end up with a flywheel, which is pretty unique of people that are hyping the project, and that are educating other people about it and commenting on the ecosystem, uh, with IP rights, being given to NFT holders, you're going to see people pull a brand since then of the brands actually having to. And so the notion of brands, again, judging and delivering, you know, elements of the value to their fans is something that's super attractive, extremely interesting. And I think, again, we've hardly scratched the surface of all that is possible in that. >>It's interesting. You guys are bringing some great insight here, Jeremiah, the old days, the word authentic was a kind of a cliche and brands like tried to be authentic and they didn't really know what to do. They called it organic, right? And now you have the trust concept with aura authenticity and environment like web three, where you can actually measure it and monetize it and capture it if you're actually authentic and trustworthy. >>That's right. And because it's on blockchain, you can see how somebody is behave with their economic behavior. In the past, of course, big corporations. Aren't going to have that type of trail on blockchain just yet. But the individuals and executives who participate in this market might be, and we'll also see a new types of affinity. Do you executives, do they participate in these NFT communities? Do they purchase them? We're seeing numerous brands like Adidas to acquire, uh, you know, different MTV projects to participate. And of course the big brands are grabbing their domains. Of course, you can talk to rant about that because it's owning your own name as a part of this trust and being >>That's awesome. Great insight guys. Closing comments, takeaways for the audience here. Each of you take a minute to give, share your thoughts on what you think is happening now, where it goes. All right, where's it going to go, Jeremy, we'll start with you. >>Sure. Um, I think the vision of web three, where full decentralization happens, where the power is completely shifted to the edges. I don't think it's going to happen. I think we will reach web 2.5 and I've been through so many tech trends where we said that the power is going to shift completely to the end. It just doesn't, there's two reasons. One is the venture capital are the ones who tend to own the pro programs in the first place. And secondly, the, the startups themselves end up becoming the one percenters. We see Airbnb and Uber are one-percenters now. So that trend happens over and over and over. Now with that said, the world will be in a better place. We will have more transparency. We will see economic power shifted to the people, the participants. And so they will have more control over the internet that they are building. >>Right. And final, final comments, >>Um, fully aligned with Jeremiah on the notions of control, being returned to users, the notion of ownership and the notion of redistribution of the economic value that is created across all the different chains, uh, uh, that we are going to see. And, and all those ecosystems. I believe that we are going to witness to palliate movements of expansion, one that is going to be very lateral. When you think of crypto and web three, essentially you think of a few hundred tribes. Uh, and I think that more projects are going to appear more, uh, coalitions of individuals and entities, and those are going to exist around those projects. So you're going to see an increase in the number of tribes that one might join. And I also think that we're going to progress rapidly from the low hundred millions of people and an FTE holders into the billions perfectly. Uh, and that's going to be extremely interesting. I think that the next wave of crypto users and Ft fans are going to look very different from the early adopters that we had witnessed in the very early days. So it's not going to be your traditional model of technology, adoption curves. I think the demographics going to shift and the motivations are going to be different as well, which is going to be a wonderful time to educate and engage with new community members. >>All right, Ron, Jeremy, thank you both for that great insight, great segment, uh, breaking down web three or web 2.5 as Jeremiah says, but we're in a better place. This is a segment with the influencers as part of the cubes and the unstoppable domain showcase. Um, John for your hosts. Thanks for watching.

>>Hello, and welcome to the cubes. Special showcase with unstoppable domains. I'm John furrier, your host of the cube here in Palo Alto, California and Matt Gould, who is the founder and CEO of unstoppable domains. Matt, great to come on. Congratulations on the success of your company on stumbled domains. Thanks for kicking off this showcase. >>Thank you. Happy to be here. So >>Love, first of all, love the story you got going on here. Love the approach, very innovative, but you're also on the big web three wave, which we know where that leads into. Metaverse unlimited new ways. People are consuming information, content applications are being built differently. This is a major wave and it's happening. Some people are trying to squint through the hype versus reality, but you don't have to be a rocket science to realize that it's a cultural shift and a technical shift going on with web three. So this is kind of the what's happening in the market. So give us your take. What's your reaction? You're in the middle of it. You're on this wave. >>Yeah. Well, I would say it's a torrent of change and the get unleashed just over a decade ago with Bitcoin coming out and giving people the ability to have a digital items that they could actually own themselves online. And this is a new thing. And people coming, especially from my generation of millennials, they spend their time online in these digital spaces and they've wanted to be able to own these items. Do you see it from, you know, gaming and Fortnite and skins and Warcraft and all these other places, but this is really being enabled by this new crypto technology to just extend a whole lot more, uh, applications for money, which everyone's familiar with, uh, to, uh, NFT projects, uh, like boarding school. >>You know, I was listening to your podcast. You guys got a great pot. I think you're on a 117 episodes now and growing, you guys do a deep dive. So people watching check out the unstoppable podcast, but in the last podcast, man, you mentioned, you know, some of the older generations like me, I grew up with IP addresses and before the web, they called it information super highway. It wasn't even called the web yet. Um, but IP was, was generated by the United States department of commerce and R and D that became the internet. The internet became the web back then it was just get some webpages up and find what you're looking for. Right. Very analog compared to what's. Now, today, now you mentioned gaming, you mentioned, uh, how people are changing. Can you talk about your view of this cultural shift? And we've been talking about in the queue for many, many years now, but it's actually happening now where the expectation of the audience and the users and the people consuming and communicating and bonding and groups, whether it's gaming or communities are expecting new behaviors, new applications, and it's a forcing function. >>This shift is having now, what's your reaction to that? What's your explanation? >>Yeah, well, I think, uh, it just goes back to the shift of peoples, where are they spending their time? And if you look today, most people spend 50% plus of their time in front of a screen. And that's just a tremendous amount of effort. But if you look at how much, how much of assets are digital, it's like less than 1% of their portfolio would be some sort of digital asset, uh, compared to, you know, literally 50% of every day sitting in front of a screen and simultaneously what's happening is these new technologies are emerging around, uh, cryptocurrencies, blockchain systems, uh, ways for you to track the digital ownership of things, and then kind of bring that into, uh, your different applications. So one of the big things that's happening with web three is this concept of data portability, meaning that I can own something on one application. >>And I could potentially take that with me to several other applications across the internet. And so this is like the emerging digital property rights that are happening right now. As we transitioned from a model in web to where you're on a hosted service, like Facebook, it's a walled garden, they own and control everything. You are the product, you know, they're mining you for data and they're just selling ads, right? So to assist them where it's much more open, you can go into these worlds and experiences. You can take things with you, uh, and you can, you can leave with them. And most people are doing this with cryptocurrency. Maybe you earn an in-game currency, you can leave and take that to a different game and you can spend it somewhere else. Uh, so the user is now enabled to bring their data to the party. Whereas before now you couldn't really do that. And that data includes their money or that includes their digital items. And so I think that's the big shift that we're seeing and that changes a lot and how applications, uh, serve up to user. So it's going to change their user experiences. For instance, >>The flip, the script has flipped and you're right on. I agree with you. I think you guys are smart to see it. And I think everyone who's on this wave will see it. Let's get into that because this is happening. People are saying I'm done with being mined and being manipulated by the big Facebooks and the LinkedIns of the world who were using the user. Now, the contract was a free product and you gave it your data, but then it got too far. Now people want to be in charge of their data. They want to broker their data. They want to collect their digital exhaust, maybe collect some things in a game, or maybe do some commerce in an application or a marketplace. So these are the new use cases. How does the digital identity architecture work with unstoppable? How are you guys enabling that? Could you take us through the vision of where you guys came on this because it's unique in an NFT and kind of the domain name concept coming together? Can you explain? >>Yeah. So, uh, we think we approach the problem for if we're going to rebuild the way that people interact online, uh, what are kind of the first primitives that they're going to need in order to make that possible? And we thought that one of the things that you have on every network, like when you log on Twitter, you have a Twitter handle. When you log on, uh, you know, Instagram, you have an Instagram handle, it's your name, right? You have that name that's that's on those applications. And right now what happens is if users get kicked off the platform, they lose a hundred percent of their followers, right? And theirs. And they also, in some cases, they can't even directly contact their followers on some of these platforms. There's no way for them to retain this social network. So you have all these influencers who are, today's small businesses who build up these large, you know, profitable, small businesses online, uh, you know, being key opinion leaders to their demographic. >>Uh, and then they could be D platform, or they're unable to take this data and move to another platform. If that platform raised their fees, you've seen several platforms, increase their take rates. You have 10, 20, 30, 40%, and they're getting locked in and they're getting squeezed. Right. Uh, so we just said, you know what, the first thing you're going to want to own that this is going to be your piece of digital property. It's going to be your name across these applications. And if you look at every computer network in the history of computing networks, the end up with a naming system, and when we've looked back at DDA desk, which came out in the nineties, uh, it was just a way for people to find these webpages much easier, you know, instead of mapping these IP addresses. Uh, and then we said to ourselves, you know, uh, what's going to happen in the future is just like everyone has an email address that they use in their web two world in order to, uh, identify themselves as they log into all these applications. >>They're going to have an NFT domain in the web three world in order to authenticate and, and, uh, bring their data with them across these applications. So we saw a direct correlation there between DNS and what we're doing with NFT domain name systems. Um, and the bigger breakthrough here is at NMT domain systems or these NFT assets that live on a blockchain. They are owned by users to build on these open systems so that multiple applications could read data off of them. And that makes them portable. So we were looking for an infrastructure play like a picks and shovels play for the emerging web three metaverse. Uh, and we thought that names were just something that if we wanted a future to happen, where all 3.5 billion people, you know, with cell phones are sending crypto and digital assets back and forth, they're gonna need to have a name to make this a lot easier instead of, you know, these long IP addresses or a hex addresses in the case of Porto. >>So people have multiple wallets too. It's not like there's all kinds of wallet, variations, name, verification, you see link trees everywhere. You know, that's essentially just an app and it doesn't really do anything. I mean, so you're seeing people kind of trying to figure it out. I mean, you've got to get up, Angela got a LinkedIn handle. I mean, what do you do with it? >>Yeah. And, and then specific to crypto, there was a very hair on fire use case for people who buy their first Bitcoin. And for those in the audience who haven't done this yet, when you go in and you go into an app, you buy your first Bitcoin or Ethereum or whatever cryptocurrency. And then the first time you try to send it, there's this, there's this field where you want to send it. And it's this very long text address. And it looks like an IP address from the 1980s, right? And it's, it's like a bank number and no one's going to use that to send money back and forth to each other. And so just like domain names and the DNS system replace IP addresses in Ft domains, uh, on blockchain systems, replace hex addresses for sending and receiving, you know, cryptocurrency, Bitcoin, Ethereum, whatever. And that's its first use case is it really plugs in there. So when you want to send money to someone, you can just, instead of sending money to a large hex address that you have to copy and paste, you can have an error or you can send it to the wrong place. It's pretty scary. You could send it to John furrier dot, uh, NFT. And uh, so we thought that you're just not going to get global adoption without better UX, same thing. It worked with the.com domains. And this is the same thing for the coin and other >>Crypto. It's interesting to look at the web two or trend one to two web one went to two. It was all about user ease of use, right? And making things simpler. Clutter, you have more pages. You can't find things that was search that was Google since then. Has there actually been an advancement? Facebook certainly is not an advancement. They're hoarding all the data. So I think we're broken between that step of, you know, a free search to all the resources in the world, to which, by the way, they're mining a lot of data too, with the toolbar and Chrome. But now where's that web three crossover. So take us through your vision on digital identity on web to Google searching, Facebook's broken democracy is broken users. Aren't in charge to web three. >>Got it. Well, we can start at web one. So the way that I think about it is if you go to web one, it was very simple, just text web pages. So it was just a way for someone to like put up a billboard and here's a piece of information and here's some things that you could read about it. Right. Uh, and then what happened with web two was you started having applications being built that had backend infrastructure to provide services. So if you think about web two, these are all, you know, these are websites or web portals that have services attached to them, whether that's a social network service or search engine or whatever. And then as we moved to web three, the new thing that's happening here is the user is coming on to that experience. And they're able to connect in their wallet or their web three identity, uh, to that app and they can bring their data to the party. >>So it's kind of like web one, you just have a static web page whip, two, you have a static web page with a service, like a server back here. And then with three, the user can come in and bring their database with them, uh, in order to have much better app experiences. So how does that change things? Well, for one, that means that the, you want data to be portable across apps. So we've touched on gaming earlier and maybe if I have an end game item for one, a game that I'm playing for a certain company, I can take it across two or three different games. Uh, it also impacts money. Money is just digital information. So now I can connect to a bunch of different apps and I can just use cryptocurrency to make those payments across those things instead of having to use a credit card. >>Uh, but then another thing that happens is I can bring in from, you know, an unlimited amount of additional information about myself. When I plug in my wallet, uh, as an example, when I plug in to Google search, for instance, they could take a look at my wallet that I've connected and they could pull information about me that I enabled that I share with them. And this means that I'm going to get a much more personalized experience on these websites. And I'm also going to have much more control over my data. There's a lot of people out there right now who are worried about data privacy, especially in places like Europe. And one of the ways to solve that is simply to not store the data and instead have the user bring it with them. >>I always thought about this and I always debated it with David laundry. My cohost does top down governance, privacy laws outweigh the organic bottoms up innovation. So what you're getting at here is, Hey, if you can actually have that solved before it even starts, it was almost as if those services were built for the problem of web two. Yes, not three. Write your reaction to that. >>I think that is, uh, right on the money. And, uh, if you look at it as a security, like if I put my security researcher hat on, I think the biggest problem we have with security and privacy on the web today is that we have these large organizations that are collecting so much data on us and they just become these honeypots. And there have been huge, uh, breaches like Equifax, you know, a few years back is a big one and just all your credit card data got leaked, right? And all your, uh, credit information got leaked. And we just have this model where these big companies silo your data. They create a giant database, which is worth hundreds of millions of dollars, if not, billions, to be attacked. And then someone eventually is going to hack that in order to pull that information. Well, if instead, and you can look at this at web three. >>So for those of the audience who have used the web three application, one of these depths, um, you know, trade cryptocurrencies or something, you'll know that when you go there, you actually connect to your wall. So when you're working with these web, you connect, you, you know, you bring your information with you and you connect it. That means that the app has none of that storage, right? So these apps that people are using for crypto trading cryptocurrency on depths or whatever, they have no stored information. So if someone hacks one of these DFI exchanges, for instance, uh, there's nothing to steal. And that's because the only time the information is being accessed is when the users actively using the site. And so as someone who cares about security and privacy, I go, wow, that's a much better data model. And that give so much more control of user because the user just permissions access to the data only during the time period in which they're interacting with the application. Um, and so I think you're right. And like, we are very excited to be building these tools, right? Because I see, like, if you look at Europe, they basically pass GDPR. And then all the companies are going, we can't comply with that and they keep postponing it or like changing a little bit and trying to make it easier to comply with. But honestly we just need to switch the data models. So the companies aren't even taking the data and then they're gonna be in a much better spot. >>The GDPR is again, a nightmare. I think it's the wrong approach. Oh, I said it was screwed up because most companies don't even know where stuff is stored. Nevermind how they delete someone's entering a database. They don't even know what they're collecting. Some at some level it becomes so complicated. So right on the money are good. Good call out there. Question for you. Is this then? Okay. So do you decouple the wallet from the ID or are they together? Uh, and is it going to be a universal wallet? Do you guys see yourselves as universal domains? Take me through the thinking around how you're looking at the wallet and the actual identity of the user, which obviously is super important on the identity side while it, is that just universal or is that going to be coming together? >>Well, I think so. The way that we kind of think about it is that wallets are where people have their financial interactions online. Right. And then identity is much more about, it's kind of like being your passport. So it's like your driver's license for the internet. So these are two kind of separate products we see longer term, uh, and they actually work together. So, you know, like if you have a domain name, it actually is easier to make deposits into your wallet because it's easier to remember to send money to, you know, method, rules dot crypto. And that way it's easier for me to receive payments or whatever. And then inside my wallet, I'm going to be doing defy trades or whatever. And doesn't really have an interaction with names necessarily in order to do those transactions. But then if I want to, uh, you know, sign into a website or something, I could connect that with my NFT domain. >>And I do think that these two things are kind of separate. I think there's, we're gonna still early. So figuring out exactly how the industry is gonna shake out over like a five to 10 year time horizon. And it may be a little bit more difficult and we could see some other emerging, uh, what you would consider like cornerstones of the crypto ecosystem. But I do think identity and reputation is one of those. Uh, and I also think that your financial applications of defy are going to be another. So those are the two areas where I see it. Um, and just to, you know, a note on this, when you have a wallet, it usually has multiple cryptocurrency address. So you're going to have like 50 cryptocurrency addresses in a wallet. Uh, you're going to want to have one domain name that links back to all those, because you're just not going to remember those 50 different addresses. So that's how I think that they collaborate. And we collaborate with several large wallets as well, uh, like blockchain.com, uh, and you know, another 30 plus of these, uh, to make it easier for sending out and receiving cryptocurrency. >>So the wallet, basically as a D app, the way you look at it, you integrate whatever you want, just integrate in. How do I log into decentralized applications with my NFT domain name? Because this becomes okay, I got to love the idea, love my identity. I'm in my own NFT. I mean, hell, this video is going to be an NFT. Soon. We get on board with the program here. Uh, but I do, I log into my app, I'm going to have a D app and I got my domain name. Do I have to submit, is there benchmarking, is there approval process? Is there API APIs and a SDK kind of thinking around it? How do you thinking about dealing with the apps? >>Yeah, so all of the above and what we're trying to, what we're trying to do here is build like an SSO solution. Uh, but that it's consumer based. So, uh, what we've done is adapted some SSL protocols that other people have used the standard ones, uh, in order to connect that back to an NFT domain in this case. And that way you keep the best of both worlds. So you can use these authorization protocols for data permissioning that are standard web to API APIs. Uh, but then the permissioning system is actually based on the user controlled in FTE. So they're assigning that with their private public key pair order to make those updates. Um, so that, that allows you to connect into both of these systems. Uh, we think that that's how technology typically impacts the world is it's not like you have something that just replaces something overnight. >>You have an integration of these technologies over time. Uh, and we really see these three components in MTU domains integrating nicely into regular apps. So as an example in the future, when you log in right now, you see Google or Facebook, or you can type in an email address, you can see not ensemble domains or NFT, uh, authorization, and you can SSO in with that, to that website. When you go to a website like an e-commerce website, you could share information about yourself because you've connected your wallet now. So you could say, yes, I am a unique individual. I do live in New York, uh, and I just bought a new house. Right. And then when you permission all that information about yourself to that application, you can serve up a new user experience for you. Um, and we think it's going to be very interesting for doing rewards and discounts, um, online for e-commerce specifically, uh, in the future, because that opens up a whole new market because they can ask you questions about yourself and you can deliver that information. >>Yeah. I really think that the gaming market has totally nailed the future use case, which is in game currency in game to engagement in game data. And now bringing that, so kind of a horizontally scalable, like surface areas is huge, right? So, you know, I think you're, that's huge success on the concept. The question I have to ask you is, um, you getting any pushback from ICANN, the international corporates have name and numbers. They got dot everything now.club, cause the clubhouse, they got dot, you know, party.live. I mean, so the real domain name people are over here, web too. You guys are coming out with the web three where's that connect for people who are not following along the web three trend. How do they, how do you rationalize the, the domain angle here? >>Yeah, well, uh, so I would say that NFTE domains or what domains on DNS were always meant to be 30 plus years ago and they just didn't have blockchain systems back in the nineties when they were building these things. So there's no way to make them for individuals. So what happened was for DNS, it actually ended up being the business. So if you look at DNS names, there's about 350 million registrations. They're basically all small business. And it's like, you know, 20 to 50 million small businesses, uh, who, uh, own the majority of these, uh, these.com or these regular DNS domain names. And that's their focus NFTE domains because all of a sudden you have the, uh, the Walton, if you have them in your wallet and your crypto wallet, they're actually for individuals. So that market, instead of being for small businesses is actually end-users. So, and instead of being for, you know, 20 to 50 million small businesses, we're talking about being useful for three to 4 billion people who have an internet connection. >>Uh, and so we actually think that the market size we're in a few domains and somewhere 50 to 100 X, the market size for traditional domain names. And then the use cases are going to be much more for, uh, individuals on a day-to-day basis. So it's like people are gonna want you on to use them for receiving cryptocurrency versus receiving dollars or payments or USCC point where they're going to want to use them as identifiers on social networks, where they're going to want to use them for SSO. Uh, and they're not gonna want to use them as much for things like websites, which is what web is. And if I'm being perfectly honest, if I'm looking out 10 years from now, I think that these traditional domain name systems are gonna want to work with and adopt this new NFC technology. Cause they're going to want to have these features for the domain next. So like in short, I think NMT domain names or domain names with superpowers, this is the next generation of, uh, naming systems and naming systems were always meant to be identity networks. >>Yeah. They hit a car, they hit a glass ceiling. I mean, they just can't, they're not built for that. Right. So I mean, and, and having people, having their own names is essentially what decentralization is all about. Cause what does a company, it's a collection of humans that aren't working in one place they're decentralized. So, and then you decentralize the identity and everything's can been changed so completely love it. I think you guys are onto something really huge here. Um, you pretty much laid out what's next for web three, but you guys are in this state of, of growth. You've seen people signing up for names. That's great. What are the, what are the, um, best practices? What are the steps are people taking? What's the common, uh, use case for folks we're putting this to work right now for you guys? Why do you see what's the progression? >>Yeah. So the, the thing that we want to solve for people most immediately is, uh, we want to make it easier for sending and receiving crypto payments. And I, and I know that sounds like a niche market, but there's over 200 million people right now who have some form of cryptocurrency, right? And 99.9% of them are still sending crypto using these really long hex addresses. And that market is growing at 60 to a hundred percent year over year. So, uh, first we need to get crypto into everybody's pocket and that's going to happen over the next three to five years. Let's call it if it doubles every year for the next five years, we'll be there. Uh, and then we want to make it easier for all those people to sit encrypted back and forth. And I, and I will admit I'm a big fan of these stable coins and these like, you know, I would say utility focused, uh, tokens that are coming out just to make it easier for, you know, transferring money from here to Turkey and back or whatever. >>Uh, and that's the really the first step freight FTE domain names. But what happens is when you have an NFTE domain and that's what you're using to receive payments, um, and then you realize, oh, I can also use this to log into my favorite apps. It starts building that identity piece. And so we're also building products and services to make it more like your identity. And we think that it's going to build up over time. So instead of like doing an identity network, top-down where you're like a government or a corporation say, oh, you have to have ID. Here's your password. You have to have it. We're going to do a bottoms up. We're going to give everyone on the planet, NFTE domain name, it's going to give them to the utility to make it easier to send, receive cryptocurrency. They're going to say, Hey, do you want to verify your Twitter profile? Yes. Okay, great. You test that back. Hey, you want to verify your Reddit? Yes. Instagram. Yes. Tik TOK. Yes. You want to verify your driver's license? Okay. Yeah, we can attach that back. Uh, and then what happens is you end up building up organically, uh, digital identifiers for people using these blockchain, uh, naming systems. And once they have that, they're gonna just, they're going to be able to share that information. Uh, and that's gonna lead to better experiences online for, uh, both commerce, but also just better user experiences. >>You know, every company when they web came along, first of all, everyone, poo-pooed the web ones. That was terrible, bad idea. Oh. And so unreliable. So slow, hard to find things. Web two, everyone bought a domain name for their company, but then as they added webpages, these permalinks became so long. The web page address fully qualified, you know, permalink string, they bought keywords. And then that's another layer on top. So you started to see that evolution in the web. Now it's kind of hit a ceiling here. Everyone gets their NFT. They, they started doing more things. Then it becomes much more of a use case where it's more usable, not just for one thing. Um, so we saw that movie before, so it's like a permalink permanent. Yeah. >>Yes. I mean, if we're lucky, it will be a decentralized bottoms up global identity, uh, that appreciates user privacy and allows people to opt in. And that's what we want to build. >>And the gas prices thing that's always coming. That's always an objection here that, I mean, blockchain is perfect for this because it's immutable, it's written on the chain. All good, totally secure. What about the efficiency? How do you see that evolving real quick? >>Well, so a couple of comments on efficiency. Uh, first of all, we picked domains as a first product to market because, you know, as you need to take a look and see if the technology is capable of handling what you're trying to do, uh, and for domain names, you're not updating that every day. Right? So like, if you look at traditional domain names, you only update it a couple of times per year. So, so the usage for that to set this up and configure it, you know, most people set up and configure it and then it'll have a few changes for years. First of all, the overall it's not like a game problem. Right, right, right. So, so that, that part's good. We picked a good place to start for going to market. And then the second piece is like, you're really just asking our computer, system's going to get more efficient over time. >>And if you know, the history of that has always been yes. Uh, and you know, I remember the nineties, I had a modem and it was, you know, whatever, 14 kilobits and then it was 28 and then 56, then 100. And now I have a hundred megabits up and down. Uh, and I look at blockchain systems and I don't know if anyone has a law for this yet, but throughput of blockchains is going up over time. And you know, there's, there's going to be continued improvements over this over the next decade. We need them. We're going to use all of it. Uh, and you just need to make sure you're planning a business makes sense for the current environment. Just as an example, if you had tried to launch Netflix for online streaming in 1990, you would have had a bad time because no one had bandwidth. So yeah. Some applications are going to wait to be a little bit later on in the cycle, but I actually think identity is perfectly fine to go ahead and get off the ground now. >>Yeah. The motivated parties for innovations here, I mean, a point cast failed miserably that was like the, they try to stream video over T1 lines, but back in the days, nothing. So again, we've seen those speeds double, triple on homes right now, Matt. Congratulations. Great stuff. Final tick, tock moment here. How would you summarize short in a short clip? The difference between digital identity in web two and web three, >>Uh, in, in web too, you don't get to own your own online presidents and in web three, you do get to own it. So I think if you were gonna simplify it really web three is about ownership and we're excited to give everyone on the planet a chance to own their name and choose when and where and how they want to share information about themselves. >>So now users are in charge. >>Exactly. >>They're not the product anymore. Going to be the product might as well monetize the product. And that's the data. Um, real quick thoughts just to close out the role of data in all this, your view. >>We haven't enabled users to own their data online since the beginning of the internet. And we're now starting to do that. It's going to have profound changes for how every application on the planet interacts with >>Awesome stuff, man, I take a minute to give a plug for the company. How many employees you got? What do you guys looking for for hiring, um, fundraising, give a quick, a quick commercial for what's going on, on unstoppable domains. Yeah. >>So if you haven't already check us out@ensembledomains.com, we're also on Twitter at unstoppable web, and we have a wonderful podcast as well that you should check out if you haven't already. And, uh, we are just crossed a hundred people. We've, we're growing, you know, three to five, a hundred percent year over year. Uh, we're basically hiring every position across the company right now. So if you're interested in getting into web three, even if you're coming from a traditional web two background, please reach out. Uh, we love teaching people about this new world and how you can be a part of it. >>And you're a virtual company. Do you have a little headquarters or is it all virtual? What's the situation there? >>Yeah, I actually just assumed we were a hundred percent remote and asynchronous and we're currently in five countries across the planet. Uh, mostly concentrated in the U S and EU areas, >>Rumor to maybe you can confirm or admit or deny this rumor. I heard a rumor that you have mandatory vacation policy. >>Uh, this is true. Uh, and that's because we are a team of people who like to get things done. And, but we also know that recovery is an important part of any organizations. So if you push too hard, uh, we want to remind people we're on a marathon, right? This is not a sprint. Uh, and so we want people to be with us term. Uh, we do think that this is a ten-year move. And so yeah. Do force people. We'll unplug you at the end of the year, if you have >>To ask me, so what's the consequence of, I don't think vacation. >>Yeah. We literally unplug it. You won't be able to get it. You won't be able to get into slack. Right. And that's a, that's how we regulate. >>Well, when people start having their avatars be their bot and you don't even know what you're unplugging at some point, that's where you guys come in with the NFD saying that that's not the real person. It's not the real human And FTS. Great innovation, great use case, Matt. Congratulations. Thanks for coming on and sharing the story to kick off this showcase with the cube. Thanks for sharing all that great insight. Appreciate it. >>John had a wonderful time. All right. Just the >>Cube unstoppable domains showcasing. We got great 10 great pieces of content we're dropping all today. Check them out. Stay with us for more coverage on John furrier with cube. Thanks for watching.

from the cube studios in palo alto in boston bringing you data-driven insights from the cube and etr this is breaking analysis with dave vellante you know we've often said that the next 10 years in cloud computing won't be like the last ten cloud has firmly planted its footprint on the other side of the chasm with the momentum of the entire multi-trillion dollar tech business behind it both sellers and buyers are leaning in by adopting cloud technologies and many are building their own value layers on top of cloud in the coming years we expect innovation will continue to coalesce around the three big u.s clouds plus alibaba in apac with the ecosystem building value on top of the hardware saw tooling provided by the hyperscalers now importantly we don't see this as a race to the bottom rather our expectation is that the large public cloud players will continue to take cost out of their platforms through innovation automation and integration while other cloud providers and the ecosystem including traditional companies that buy it mine opportunities in their respective markets as matt baker of dell is fond of saying this is not a zero sum game welcome to this week's wikibon cube insights powered by etr in this breaking analysis we'll update you on our latest projections in the cloud market we'll share some new etr survey data with some surprising nuggets and drill into this the important cloud database landscape first we want to take a look at what people are talking about in cloud and what's been in the recent news with the exception of alibaba all the large cloud players have reported earnings google continues to focus on growth at the expense of its profitability google reported that it's cloud business which includes applications like google workspace grew 45 percent to five and a half billion dollars but it had an operating loss of 890 billion now since thomas curion joined google to run its cloud business google has increased head count in its cloud business from 25 000 25 000 people now it's up to 40 000 in an effort to catch up to the two leaders but playing catch up is expensive now to put this into perspective let's go back to aws's revenue in q1 2018 when the company did 5.4 billion so almost exactly the same size as google's current total cloud business and aws is growing faster at the time at 49 don't forget google includes in its cloud numbers a big chunk of high margin software aws at the time had an operating profit of 1.4 billion that quarter around 26 of its revenues so it was a highly profitable business about as profitable as cisco's overall business which again is a great business this is what happens when you're number three and didn't get your head out of your ads fast enough now in fairness google still gets high marks on the quality of its technology according to corey quinn of the duck bill group amazon and google cloud are what he called neck and neck with regard to reliability with microsoft azure trailing because of significant disruptions in the past these comments were made last week in a bloomberg article despite some recent high-profile outages on aws not surprisingly a microsoft spokesperson said that the company's cloud offers industry-leading reliability and that gives customers payment credits after some outages thank you turning to microsoft and cloud news microsoft's overall cloud business surpassed 22 billion in the december quarter up 32 percent year on year like google microsoft includes application software and sas offerings in its cloud numbers and gives little nuggets of guidance on its azure infrastructure as a service business by the way we estimate that azure comprises about 45 percent of microsoft's overall cloud business which we think hit a 40 billion run rate last quarter microsoft guided in its earning call that recent declines in the azure growth rates will reverse in q1 and that implies sequential growth for azure and finally it was announced that the ftc not the doj will review microsoft's announced 75 billion acquisition of activision blizzard it appears ftc chair lena khan wants to take this one on herself she of course has been very outspoken about the power of big tech companies and in recent a recent cnbc interview suggested that the u.s government's actions were a meaningful contributor back then to curbing microsoft's power in the 90s i personally found that dubious just ask netscape wordperfect novell lotus and spc the maker of harvard presentation graphics how effective the government was in curbing microsoft power generally my take is that the u s government has had a dismal record regulating tech companies most notably ibm and microsoft and it was market forces company hubris complacency and self-inflicted wounds not government intervention these were far more effective than the government now of course if companies are breaking the law they should be punished but the u.s government hasn't been very productive in its actions and the unintended consequences of regulation could be detrimental to the u.s competitiveness in the race with china but i digress lastly in the news amazon announced earnings thursday and the company's value increased by 191 billion dollars on friday that's a record valuation gain for u.s stocks aws amazon's profit engine grew 40 percent year on year for the quarter it closed the year at 62 billion dollars in revenue and at a 71 billion dollar revenue run rate aws is now larger than ibm which without kindrel is at a 67 billion dollar run rate just for context ibm's revenue in 2011 was 107 billion dollars now there's a conversation going on in the media and social that in order to continue this growth and compete with microsoft that aws has to get into the sas business and offer applications we don't think that's the right strategy for amp from for amazon in the near future rather we see them enabling developers to compete in that business finally amazon disclosed that 48 of its top 50 customers are using graviton 2 instances why is this important because aws is well ahead of the competition in custom silicon chips is and is on a price performance curve that is far better than alternatives especially those based on x86 this is one of the reasons why we think this business is not a race to the bottom aws is being followed by google microsoft and alibaba in terms of developing custom silicon and will continue to drive down their internal cost structures and deliver price performance equal to or better than the historical moore's law curves so that's the recent news for the big u.s cloud providers let's now take a look at how the year ended for the big four hyperscalers and look ahead to next year here's a table we've shown this view before it shows the revenue estimates for worldwide is and paths generated by aws microsoft alibaba and google now remember amazon and alibaba they share clean eye ass figures whereas microsoft and alphabet only give us these nuggets that we have to interpret and we correlate those tidbits with other data that we gather we're one of the few outlets that actually attempts to make these apples to apples comparisons there's a company called synergy research there's another firm that does this but i really can't map to their numbers their gcp figures look far too high and azure appears somewhat overestimated and they do include other stuff like hosted private cloud services but it's another data point that you can use okay back to the table we've slightly adjusted our gcp figures down based on interpreting some of alphabet's statements and other survey data only alibaba has yet to announce earnings so we'll stick to a 2021 market size of about 120 billion dollars that's a 41 growth rate relative to 2020 and we expect that figure to increase by 38 percent to 166 billion in 2022 now we'll discuss this a bit later but these four companies have created an opportunity for the ecosystem to build what we're calling super clouds on top of this infrastructure and we're seeing it happen it was increasingly obvious at aws re invent last year and we feel it will pick up momentum in the coming months and years a little bit more on that later now here's a graphical view of the quarterly revenue shares for these four companies notice that aws has reversed its share erosion and is trending up slightly aws has accelerated its growth rate four quarters in a row now it accounted for 52 percent of the big four hyperscaler revenue last year and that figure was nearly 54 in the fourth quarter azure finished the year with 32 percent of the hyper scale revenue in 2021 which dropped to 30 percent in q4 and you can see gcp and alibaba they're neck and neck fighting for the bronze medal by the way in our recent 2022 predictions post we said google cloud platform would surpass alibaba this year but given the recent trimming of our numbers google's got some work to do for that prediction to be correct okay just to put a bow on the wikibon market data let's look at the quarterly growth rates and you'll see the compression trends there this data tracks quarterly revenue growth rates back to 20 q1 2019 and you can see the steady downward trajectory and the reversal that aws experienced in q1 of last year now remember microsoft guided for sequential growth and azure so that orange line should trend back up and given gcp's much smaller and big go to market investments that we talked about we'd like to see an acceleration there as well the thing about aws is just remarkable that it's able to accelerate growth at a 71 billion run rate business and alibaba you know is a bit more opaque and likely still reeling from the crackdown of the chinese government we're admittedly not as close to the china market but we'll continue to watch from afar as that steep decline in growth rate is somewhat of a concern okay let's get into the survey data from etr and to do so we're going to take some time series views on some of the select cloud platforms that are showing spending momentum in the etr data set you know etr uses a metric we talked about this a lot called net score to measure that spending velocity of products and services netscore basically asks customers are you spending more less or the same on a platform and a vendor and then it subtracts the lesses from the moors and that yields a net score this chart shows net score for five cloud platforms going back to january 2020. note in the table that the table we've inserted inside that chart shows the net score and shared n the latter metric indicates the number of mentions in the data set and all the platforms we've listed here show strong presence in the survey that red dotted line at 40 percent that indicates spending is at an elevated level and you can see azure and aws and vmware cloud on aws as well as gcp are all nicely elevated and bounding off their october figures indicating continued cloud momentum overall but the big surprise in these figures is the steady climb and the steep bounce up from oracle which came in just under the 40 mark now one quarter is not necessarily a trend but going back to january 2020 the oracle peaks keep getting higher and higher so we definitely want to keep watching this now here's a look at some of the other cloud platforms in the etr survey the chart here shows the same time series and we've now brought in some of the big hybrid players notably vmware cloud which is vcf and other on-prem solutions red hat openstack which as we've reported in the past is still popular in telcos who want to build their own cloud we're also starting to see hpe with green lake and dell with apex show up more and ibm which years ago acquired soft layer which was really essentially a bare metal hosting company and over the years ibm cobbled together its own public cloud ibm is now racing after hybrid cloud using red hat openshift as the linchpin to that strategy now what this data tells us first of all these platforms they don't have the same presence in the data set as do the previous players vmware is the one possible exception but other than vmware these players don't have the spending velocity shown in the previous chart and most are below the red line hpe and dell are interesting and notable in that they're transitioning their early private cloud businesses to dell gr sorry hpe green lake and dell apex respectively and finally after years of kind of staring at their respective navels in in cloud and milking their legacy on-prem models they're finally building out cloud-like infrastructure for their customers they're leaning into cloud and marketing it in a more sensible and attractive fashion for customers so we would expect these figures are going to bounce around for a little while for those two as they settle into a groove and we'll watch that closely now ibm is in the process of a complete do-over arvin krishna inherited three generations of leadership with a professional services mindset now in the post gerschner gerstner era both sam palmisano and ginny rometty held on far too long to ibm's service heritage and protected the past from the future they missed the cloud opportunity and they forced the acquisition of red hat to position the company for the hybrid cloud remedy tried to shrink to grow but never got there krishna is moving faster and with the kindred spin is promising mid-single-digit growth which would be a welcome change ibm is a lot of work to do and we would expect its net score figures as well to bounce around as customers transition to the future all right let's take a look at all these different players in context these are all the clouds that we just talked about in a two-dimensional view the vertical axis is net score or spending momentum and the horizontal axis is market share or presence or pervasiveness in the data set a couple of call-outs that we'd like to make here first the data confirms what we've been saying what everybody's been saying aws and microsoft stand alone with a huge presence many tens of billions of dollars in revenue yet they are both well above the 40 line and show spending momentum and they're well ahead of gcp on both dimensions second vmware while much smaller is showing legitimate momentum which correlates to its public statements alibaba the alibaba in this survey really doesn't have enough sample to make hardcore conclusions um you can see hpe and dell and ibm you know similarly they got a little bit more presence in the data set but they clearly have some work to do what you're seeing there is their transitioning their legacy install bases oracle's the big surprise look what oracle was in the january survey and how they've shot up recently now we'll see if this this holds up let's posit some possibilities as to why it really starts with the fact that oracle is the king of mission critical apps now if you haven't seen video on twitter you have to check it out it's it's hilarious we're not going to run the video here but the link will be in our post but i'll give you the short version some really creative person they overlaid a data migration narrative on top of this one tooth guy who speaks in spanish gibberish but the setup is he's a pm he's a he's a a project manager at a bank and aws came into the bank this of course all hypothetical and said we can move all your apps to the cloud in 12 months and the guy says but wait we're running mission critical apps on exadata and aws says there's nothing special about exadata and he starts howling and slapping his knee and laughing and giggling and talking about the 23 year old senior engineer who says we're going to do this with microservices and he could tell he was he was 23 because he was wearing expensive sneakers and what a nightmare they encountered migrating their environment very very very funny video and anyone who's ever gone through a major migration of mission critical systems this is gonna hit home it's funny not funny the point is it's really painful to move off of oracle and oracle for all its haters and its faults is really the best environment for mission critical systems and customers know it so what's happening is oracle's building out the best cloud for oracle database and it has a lot of really profitable customers running on-prem that the company is migrating to oracle cloud infrastructure oci it's a safer bet than ripping it and putting it into somebody else's cloud that doesn't have all the specialized hardware and oracle knowledge because you can get the same integrated exadata hardware and software to run your database in the oracle cloud it's frankly an easier and much more logical migration path for a lot of customers and that's possibly what's happening here not to mention oracle jacks up the license price nearly doubles the license price if you run on other clouds so not only is oracle investing to optimize its cloud infrastructure it spends money on r d we've always talked about that really focused on mission critical applications but it's making it more cost effective by penalizing customers that run oracle elsewhere so this possibly explains why when the gartner magic quadrant for cloud databases comes out it's got oracle so well positioned you can see it there for yourself oracle's position is right there with aws and microsoft and ahead of google on the right-hand side is gartner's critical capabilities ratings for dbms and oracle leads in virtually all of the categories gartner track this is for operational dvms so it's kind of a narrow view it's like the red stack sweet spot now this graph it shows traditional transactions but gartner has oracle ahead of all vendors in stream processing operational intelligence real-time augmented transactions now you know gartner they're like old name framers and i say that lovingly so maybe they're a bit biased and they might be missing some of the emerging opportunities that for example like snowflake is pioneering but it's hard to deny that oracle for its business is making the right moves in cloud by optimizing for the red stack there's little question in our view when it comes to mission critical we think gartner's analysis is correct however there's this other really exciting landscape emerging in cloud data and we don't want it to be a blind spot snowflake calls it the data cloud jamactagani calls it data mesh others are using the term data fabric databricks calls it data lake house so so does oracle by the way and look the terminology is going to evolve and most of the action action that's happening is in the cloud quite frankly and this chart shows a select group of database and data warehouse companies and we've filtered the data for aws azure and gcp customers accounts so how are these accounts or companies that were showing how these vendors were showing doing in aws azure and gcp accounts and to make the cut you had to have a minimum of 50 mentions in the etr survey so unfortunately data bricks didn't make it just not enough presence in the data set quite quite yet but just to give you a sense snowflake is represented in this cut with 131 accounts aws 240 google 108 microsoft 407 huge [ __ ] 117 cloudera 52 just made the cut ibm 92 and oracle 208. again these are shared accounts filtered by customers running aws azure or gcp the chart shows a net score lime green is new ads forest green is spending more gray is flat spending the pink is spending less and the bright red is defection again you subtract the red from the green and you get net score and you can see that snowflake as we reported last week is tops in the data set with a net score in the 80s and virtually no red and even by the way single digit flat spend aws google and microsoft are all prominent in the data set as is [ __ ] and snowflake as i just mentioned and they're all elevated over the 40 mark cloudera yeah what can we say once they were a high flyer they're really not in the news anymore with anything compelling other than they just you know took the company private so maybe they can re-emerge at some point with a stronger story i hope so because as you can see they actually have some new additions and spending momentum in the green just a lot of customers holding steady and a bit too much red but they're in the positive territory at least with uh plus 17 percent unlike ibm and oracle and this is the flip side of the coin ibm they're knee-deep really chest deep in the middle of a major transformation we've said before arvind krishna's strategy and vision is at least achievable prune the portfolio i.e spin out kindrel sell watson health hold serve with the mainframe and deal with those product cycles shift the mix to software and use red hat to win the day in hybrid red hat is working for ibm's growing well into the double digits unfortunately it's not showing up in this chart with little database momentum in aws azure and gcp accounts zero new ads not enough acceleration and spending a big gray middle in nearly a quarter of the base in the red ibm's data and ai business only grew three percent this last quarter and the word database wasn't even mentioned once on ibm's earnings call this has to be a concern as you can see how important database is to aws microsoft google and the momentum it's giving companies like snowflake and [ __ ] and others which brings us to oracle with a net score of minus 12. so how do you square the momentum in oracle cloud spending and the strong ratings and databases from gartner with this picture good question and i would say the following first look at the profile people aren't adding oracle new a large portion of the base 25 is reducing spend by 6 or worse and there's a decent percentage of the base migrating off oracle with a big fat middle that's flat and this accounts for the poor net score overall but what etr doesn't track is how much is being spent rather it's an account based model and oracle is heavily weighted toward big spenders running mission critical applications and databases oracle's non-gaap operating margins are comparable to ibm's gross margins on a percentage basis so a very profitable company with a big license and maintenance in stall basin oracle has focused its r d investments into cloud erp database automation they've got vertical sas and they've got this integrated hardware and software story and this drives differentiation for the company but as you can see in this chart it has a legacy install base that is constantly trying to minimize its license costs okay here's a little bit of different view on the same data we expand the picture with the two dimensions of net score on the y-axis and market share or pervasiveness on the horizontal axis and the table insert is how the data gets plotted y and x respectively not much to add here other than to say the picture continues to look strong for those companies above the 40 line that are focused and their focus and have figured out a clear cloud strategy and aren't necessarily dealing with a big install base the exception of course is is microsoft and the ones below the line definitely have parts of their portfolio which have solid momentum but they're fighting the inertia of a large install base that moves very slowly again microsoft had the advantage of really azure and migrating those customers very quickly okay so let's wrap it up starting with the big three cloud players aws is accelerating and innovating great example is custom silicon with nitro and graviton and other chips that will help the company address concerns related to the race to the bottom it's not a race to zero aws we believe will let its developers go after the sas business and for the most part aws will offer solutions that address large vertical markets think call centers the edge remains a wild card for aws and all the cloud players really aws believes that in the fullness of time all workloads will run in the public cloud now it's hard for us to imagine the tesla autonomous vehicles running in the public cloud but maybe aws will redefine what it means by its cloud microsoft well they're everywhere and they're expanding further now into gaming and the metaverse when he became ceo in 2014 many people said that satya should ditch xbox just as an aside the joke among many oracle employees at the time was that safra katz would buy her kids and her nieces and her nephews and her kids friends everybody xbox game consoles for the holidays because microsoft lost money for everyone that they shipped well nadella has stuck with it and he sees an opportunity to expand through online gaming communities one of his first deals as ceo was minecraft now the acquisition of activision will make microsoft the world's number three gaming company by revenue behind only 10 cent and sony all this will be powered by azure and drive more compute storage ai and tooling now google for its part is battling to stay relevant in the conversation luckily it can afford the massive losses it endures in cloud because the company's advertising business is so profitable don't expect as many have speculated that google is going to bail on cloud that would be a huge mistake as the market is more than large enough for three players which brings us to the rest of the pack cloud ecosystems generally and aws specifically are exploding the idea of super cloud that is a layer of value that spans multiple clouds hides the underlying complexity and brings new value that the cloud players aren't delivering that's starting to bubble to the top and legacy players are staying close to their customers and fighting to keep them spending and it's working dell hpe cisco and smaller predominantly on-plan prem players like pure storage they continue to do pretty well they're just not as sexy as the big cloud players the real interesting activity it's really happening in the ecosystem of companies and firms within industries that are transforming to create their own digital businesses virtually all of them are running a portion of their offerings on the public cloud but often connecting to on-premises workloads and data think goldman sachs making that work and creating a great experience across all environments is a big opportunity and we're seeing it form right before our eyes don't miss it okay that's it for now thanks to my colleague stephanie chan who helped research this week's topics remember these episodes are all available as podcasts wherever you listen just search breaking analysis podcast check out etr's website at etr dot ai and also we publish a full report every week on wikibon.com and siliconangle.com you can get in touch with me email me at david.velante siliconangle.com you can dm me at divalante or comment on my linkedin post this is dave vellante for the cube insights powered by etr have a great week stay safe be well and we'll see you next time [Music] you

>>Welcome everyone to our continuous coverage on the cube of AWS reinvent 2021. I'm your host, Dave Nicholson. And I am absolutely delighted to be joined by two folks from Unisys. I have a company that has been in the business of helping people with everything related to it for a very, very long time. We heard a talk about data monetization at modernization with ANU Priya, rom Raj vice president of cloud solution management at Unisys, along with ANU palms, the high VP and CTO of cloud solution engineering at UNISIS. And, uh, just so that we keep everything clear, I'm just going to call you on new and ANU Palm, and we'll all know who we're talking to. Sure. The funny thing is I'm David Nicholson or Dave Nicholson. Dave Vellante is one of the founders of Silicon angle, the cube. So usually it's two Dave's battling in >>So I get to be David and he's Dave typically. So we're completely, we're completely used to this, right? So, so tell me about what Eunice is doing UNISIS is doing in the arena of app modernization and data modernization and migration into cloud. You Unisys has a long and storied history of managing it in people's environments, you know, in the sort of on-premise world, as well as, as well as cloud now. But, uh, I knew tell us, tell us a little about what you'd assist is doing in this space. And then we'll, we'll double click and dive in. >>Um, so you, you're probably very, very familiar with the six RS of modernization, right? All the way from migration modernization, all the way from replatform rehost to, to the other side of the spectrum, refactor and rearchitect, right? So what is DASA is that it takes clients on that journey, right? So we see clients in different stages of that journey. There are clients that come to us, uh, recently brought on board a pipeline they're very early in their journey. They just talking about their first set of migrations. There are clients that have taken the leap and done 75% of their workload is on cloud, even for Unisys 95% of more than 95% of our workload actually runs on cloud public cloud. So different stages of the journey, but no matter where they are in the journey, really moving the needle on modernization. Right. And what did he mean by modernization? It's it's taking advantage of the innovation in cloud, whether it's seven containers are AI and bringing that to the client so that they can drive those business outcomes. That's what we are passionate about doing. And we can talk to you about a couple of clients where we've done this on a, but I like to unopened to add on. >>Sure. Yeah. And, and just, and before you dive in on a Palm, I want to hear specifically about the inhibitors that you're seeing, the things that causing friction, right. Movement to cloud. >>Yeah. So cloud of the transformative technology is as disruptive and it brings about lots of benefits that are very well understood, but not realized, um, lower total cost of ownership, higher security, innovation, and agility. But the challenges that you see for customers really benefit from moving and migrating to the cloud are related to security and compliance. That comes up to be the top pain point, followed by cost of ownership that are optimizations that you need to do before you can benefit from really leveraging the benefits from the cloud and then innovation and agility, how to drive that. And there are certain things around app and data about innovation, data analytics, AIML that really helps realize those values, but it needs a concerted effort and a drive and a push to transform your infrastructure from where you are today to really get to derive the true benefits from the cloud. >>And we do a cloud barometer study of about thousands of organizations from a Unisys perspective, Dave, and as a Oklahoma saying, um, more than 60% of our clients say security is the biggest inhibitor they want help with security. You >>No, you're saying the inhibitor to going to cloud is security >>To accelerating the cloud journey. They always are perceptive. >>Is that, is that hesitancy, uh, just perception or is it reality? >>That's a great question, >>Dave, and you don't have to be gentle with me. Like you might with a client, you know, you can, you can reach over and smack me and say get over it. You're going to be fine, Dave, >>Actually, I'm a new from leaned into it already. In many cases, when you, when you actually get to your cloud configuration, right. You probably be more secure in the cloud, but it's getting clients confident with that setup. That's where the rubber meets the road. Right. And that's where we come in to say, um, do you understand the shared responsibility model with cloud? What is the cloud provider do? What does being here at AWS reinvent? What has AWS bring to the table for security? This is what the client is responsible for. For example, application security is completely their client's responsibility, right? In most cases. So, um, just working with the clients so that they understand the shared responsibility model and then making sure we protect all the different layers of the stack, but security, right? Even, even as apps are developed, you need to have DevSecOps pipeline, right? So I didn't say dev ops, I said, dev sec ops, because we want to make security a part of developing your applications and deploying them in cloud as well. So that's what we bring to the table and making sure clients feel confident in, in accelerating their cloud journey. So >>You can deal with customers like me, who, who truly believed that my money is safer in a coffee, can buried in my backyard than it is in a bank, right. With all those banking people wandering around. Um, so when you start looking at an environment and you, and you look at the totality of an it infrastructure landscape, how do you go about determining what is the low hanging fruit? What makes sense to move first from is that, is that always an ROI discussion that comes into play and are your customers, I like to give like five questions at the same time to confuse you and are your customers expecting to immediately save money? And how big is the ROI conversation in this? >>Uh, great question. So a couple of things need to be considered first, just to understand where does the customer in the digital transformation journey are there green fee where they only have on premise data center and they're trying to get to the cloud, or they already have dipped their toes and move to the cloud. And in the cloud, how far in advance are they in their transformation journey, have them not have the done apps and data modernization? Do they have, uh, uh, management operations capability for day one and day two cloud ops and fin ops and security ops, and other leveraging the power of the cloud, the copious amounts of data that cloud brings to the table. Uh, the, the important thing to understand is that 80% of the tools that work in the on-prem do not work in the cloud. So you have to understand the very nature of the cloud and to deal with it differently. >>The same old tools and creeks will not work in the cloud. And I call it the three V's in the cloud, velocity volume, and variety of data is different in the cloud. So when you're talking about security, you need to look at the cloud infrastructure, posture management. You need to look at the cloud workload, pasture management. You need to look at the data that's available and analyze and harness the data using AIML and data analytics. So you need a new set of clicks as it were to really harness the power of the cloud to derive the benefits from increased security, lower cost of ownership and innovation and agility. >>And it makes sense. Yeah. >>I mean, I think you touched on touched on it, but fin ops, right. And you asked the question David on, is that the biggest driver in terms of savings to get to the, to the cloud. And I think it's definitely one of the bigger factors, um, because, and be believe to, to realize that we offer a fin op service. And if you know, Upserve is not just for the cloud, but choosing models at different, right. It's not like your data center planning. We talked about the tools being different. It's more than the tools, right? So you could do reserved instances or you could do spot instances, completely different ballgame with AWS, right. Or you could do AWS savings plans. Are you maximizing all of that? And even beyond that, are you thinking beyond that into like AWS container suppose, um, EKS, are you talking about seven less and that could completely change your bill and your total kind of cost of ownership. You talk Dave about past databases, right? So platform as a service, and that could completely change your total cost of ownership there as well. So are you really maximizing that? And do you have a service around that? Do you have a trusted partner who can help you with fin ops is I think an important consideration there? >>Well, I don't know. Pretty, I know you're dying to talk about a customer example, make it real for us. Give us an example of, uh, of this process inaction where UNISIS has helped a customer on the journey. >>Absolutely. Dave. So, um, uh, one example that comes to mind is a large public university and they've got about a half a million students and they've got 20 plus campuses around the U S in California, Sarah, I might've given myself away there. And, and, uh, in, into what they've done is, um, initially they are big into AWS and they are into their cloud, uh, higher into the IBM cloud journey, uh, big time. And they are a hybrid deployment at this point. And initially, uh, they, uh, when they subscribed to our fin ops service, uh, we, we brought in all the different, uh, thinking around working with different organizations, they need to like business planning, right? You need to know which is your most significant apps and what do you want to invest in them in terms of modernization and in tuning your AWS spend. And so we did that. And so we got them about a 33% cost saving and what they did was then they took, looked at all of their AWS accounts across the campuses and said, we want fin ops across all of them. Let's consolidate all of them. So that's, that's the power of a synopsis is about 33% saving right there. Well, that is >>Particularly exciting for me because I assume that they're going to be lowering my kid's tuition next year. So I'll be, I'll be looking forward to that. And now I know Palm, we know why she was kicked out of the, uh, you know, the, the intelligence agency can't keep a secret. Let's, let's, let's talk about an amusement park, uh, famous for its rodent, but I'm not going to say the name. So, so out upon talk about, uh, the technology space that we're in the midst of here at AWS reinvent, right? Um, each time we have a keynote, we're hit with an, almost a mind boggling number of announcements, right? Customers can't keep, keep this stuff straight. They're 575 different kinds of instances. It used to be, we have S3 and we have VC too. Right. Would you like, would you like one, or would you like both, right? How do you help customers make sense of this? >>Yeah, no, that's, that's a great question because, um, the cloud is, uh, I, as I said, cloud has three V's velocity, variety and volume of data and, and the new kinds of services that are available. Day-by-day, it's growing the keys to really figure out, again, map the business objectives that you as a customer or a company are trying to achieve, understand where you are in your digital transformation journey. And then based on the two, uh, and assess where you at and, and companies like Unisys can work with the customer to assess their, what I call the digital transformation posture, which will then give, uh, give us clear indications or recommendations on what are the next stages in the transformation of journey. So whether it's whether you want to improve your security posture, whether you want to improve your cost of ownership, posture, whether you want to go to go to the cloud and leverage DevSecOps to benefit from the innovation and agility, we can help you. >>Unisys has DevSecOps as a service, uh, containers as a service where we can help our customers and partners migrate to the cloud, modernize the apps. And again, based on research, that's out there, you can speed up app deployment and development by 60% by leveraging the power of the cloud. So the benefits out there for customers to get access to, it's a question of finding the right combination of people, process and technology to get you there. And Unisys being a very trusted advisor is certainly able to help you accelerate that journey and get you to meet your business outcomes. So me, >>Um, let me ask the two of you, what might be an uncomfortable question, and that is obviously Unisys is in the business of managing things that aren't in cloud. Also, you have very, very large existing customers that are spending money with you, right? And if they'll just stay still and not do anything and not change, you'll keep making money into the future. Aren't some of these things that you're doing as a trusted advisor, almost counterintuitive from a, from a finance perspective at Unisys, at least in the short term, how do you, how do you balance that? >>It's a, it's a great question, Dave, and for us, we are customer obsessed. So that's, I know one of the AWS principles and we, we live by that as well. Right? So customer comes first and doing the right thing by them, whether it is the total cost of ownership when it's getting the security posture, right. That comes first for us. And if, if moving them to a public cloud will help them achieve that. We will do that. Right. So even if it means that our bill is going to be lower, right. So we'll give you a great example there. Um, Eunice's, as you know, Dave has been in the mainstream business and we've got customers that are still on clear path, right? So even with those customers, we help them with both transitions. We can run clear path to the, on public cloud and we also help with modernization, right? So we always do the right thing by the customer. It's really the customer's tries in terms of what does the business warrant, how much business disruption are they willing to take as we do this modernization journey. And that's what determines us. And that's what makes us trusted advisers. Um, you're not looking out for the bottom line there in terms of how much our bill would be. Yup. >>Well, that's a, that's actually a great place to wrap up. Uh, I think it's hilarious that you mentioned mainframe since you were five years old, you gave me, you gave me a blank stare. When I mentioned stuff, Unisys was doing 20 years ago on a free auto Palm from Unisys. Thank you so much. It's a great point to close on. You're a trusted advisor when you're doing things that are truly in the customer's best interest and not just in your own company's best interests. I'm Dave Nicholson for the cube. We'd like to thank you for joining our continuous coverage at AWS reinvent 2021 stay tuned because we are your leader in hybrid tech event coverage.

>>Hello from Las Vegas. It's the cube live at AWS reinvent 2021, Lisa Martin and Dave Nicholson here. We're in our fourth day, Dave, we have two live sets of the kid. There's a dueling set right across from us, kind of like dueling pianos, only a little bit louder. We have had about a hundred guests on the program at AWS reinvent this year. And we're pleased to welcome back. One of our alumni, Richard Potter joins us the CEO of peak. Richard. Welcome back to the cube. >>Great to be here. Talk to >>Us. So we haven't seen you in a couple of years. Talk to us about what's going on at pink. I know there's some news. >>Yeah, yeah. Loads of things going on at peak. I mean, we've been growing really quick. So since the last time you saw us, which was yeah, in London a few years ago, uh, we've grown to be the, sort of essentially the global leader in decision intelligence systems. Um, us as an AI company, we specialize in putting artificial intelligence right into the heart of how companies run their businesses and make their day-to-day decisions, which is why we call it decision intelligence. We think it's the biggest thing in software and, uh, probably the biggest new category of software. Um, we will see this decade. So it's super exciting to be in that position and great to be back chatting to you guys on the cube. When were you based founded? We were founded in 2016. Uh, and, uh, yeah. And you can probably tell by my accent English company headquartered in Manchester, but we're global. Now we have operations in India. We have a couple of development centers in India. We have a growing customer base in Asia and a growing customer base in the U S as well. Uh, so yeah, we're kind of international, but born out of, uh, Northern English roots. >>I like it. Talk to me about back in 2016, what were some of the gaps in the market that you saw from a, because you know, as, as here we are in almost 20, 22, every company is a data company. They have to be being able to extract intelligence timely hard. What gaps did you see back in 2016 >>Back then a read on the market was really simple, which was the companies that are going to harness data to run themselves well, we'll win, but the most companies were struggling to make that change to be data-driven. So our rich was, you know, as founders, there's three of us who started the business was trying to explore that problem. Like what, what, what stops companies running on data? And there's loads of reasons, right? Tech ones, uh, skills, ones, even just like business people using data in their day-to-day decision-making rather than say their gut-feel, which I think is also a data-driven decision. They just don't understand that necessarily. Uh, so we really honed in on that problem and we grew quite quickly to be the leading business in that sort of applied data space in the UK, you know, a market leader in, uh, helping companies perform better with data. And over time that has taken us on this journey to be the sort of global leader in decision intelligence, which is really cool. But the itch we were scratching was that, Hey, you know, there's something in this, we think companies that do this and do it well are gonna win, but no one's doing it. So why is that? And then, and then we've built software that effectively responds to that opportunity. >>You mentioned harnessing data. Yeah. How do you balance the harnessing of data successfully with being harnessed by data? Because, because if you're talking about the concept of Dai yeah. Who's making the decision. If the machine is making the decision, I better trust it. Why should I trust it? So how do you, how do you strike that balance to get people to trust what you're doing? The work you're doing for them behind the scenes? Yeah, >>I think it's, it's really important that humans trust the machines that they're working alongside. And I think that's the big change we're seeing, right? So this is a new industrial revolution, the intelligence era that we're in, but all previous industrial revolutions have all amplified human potential. They've amplified like a physical potential, whether it was, you know, machinery, steam, power and so on, or computers have amplified our cognitive capability, but humans have always controlled those machines. If you think about it now in the intelligence era, our machines can think with us, they can think alongside us. So we have to learn how to, as people, how to co-exist with those machines and then let those machines amplify us and essentially make us superhuman and what we do. And that's a part of the challenge we face at peak as to how do we make, how do we humanize that? >>How do we make it such that everyone trusts the machine? Uh, and we always have that human in the loop is the way we think about it. Uh, decision intelligence empowers us to be awesome at our jobs, make the great decisions all the time. If we trust the machine so much that we just want it to make the decision for us, we can let it, but we're always in control and we're in control of how it thinks and what it does. And it's our job as a software company to build software that lets you understand why that recommendation or that decision is being suggested to you. So I think, I think the coexistence of our machines alongside people in a new way that a human to machine interface is going to completely change with artificial intelligence and decision intelligence and, and us as people we're going to have to relearn how we, how we work with our technology. >>You just mentioned a couple of really good words in terms of, of the people, part of people, process and technologies, amplify and empower. Those are two things that stuck out at me is that's what you're giving people in any, whether they're an operations or finance or marketing, it's the amplification to do their jobs, empowering them to do their jobs with data that will help make them more skilled and better able to make decisions that benefit themselves, the company. >>That's exactly right. Yeah, because if you, if you redact doing business to its basics, it's, it's actually just making decisions, right. Companies are make great decisions. They win and those decisions could be anything, you know, they could be product decisions, they could be pricing decisions, operational supply chain decisions, but it's a sequence of decisions that creates value for my company. And so that's why I believe this technology is so empowering because as people we're, we're actually great at making those decisions. What we're not great at is making those decisions 24 by seven really, really quickly, very consistently. So, you know, humans are awesome at forecasting. They're awesome at choosing pricing that would appeal to other people, but alongside this technology, we can have machines that do a lot of that thinking for us, speed us up and help us make more, um, quick, great consistently awesome decisions. And then that just makes us great at our jobs. If you're a marketeer or in finance or in supply chain, you, you become awesome. And I think that that, that empowerment is key to the sort of humanization of AI in business. And actually that's what it means in practice. It isn't AI coming for peoples' jobs or replacing jobs. It's it's AI helping us all be gray. And our companies grow faster with wider profit margins when we do that, which creates more jobs for people, which is really cool. >>So, um, we talk about people trusting machines to do things for them. Uh, it's, it's not necessarily a new concept. We just sort of take some of those things for granted. Um, I trust my refrigerator at home to measure the internal temperature and make adjustments as necessary. Turn the compressor on, turn the compressor off. And I'm sorry, I you're from England refrigerators, this thing, it's a box. We use it to refrigerate our beer, which I took to make it >>Cold, which I know. >>So it's kind of a, you know, got to love those cliches, but so can you give us an example of a situation where a customer is trusting something that it's gotten from DEI from peak, where if you, as the CEO heard that anecdotal story, you would be absolutely delighted. >>Well, I think the earth is loads of great examples of that. So, um, the reason we call it decision intelligence decision intelligence is because it's the, it's applying AI into the active decision making, right? Uh, artificial intelligence or machine learning is making a prediction or a categorization over a huge data set. Right? But that on its own is kind of useless. You need to take that prediction that forward looking view and then effectively infuse it with business logic constraints and like knowledge of how your company works to give you a recommendation. Right? So let's just say I'm a marketeer and I'm trying to work out who I should send a particular offer to on black Friday over email, or even not even over email over any channel. When, if I, if I was CEO and I heard one of my teams say, Hey, what I've done is I've used the decision intelligence platform to tell me who buy, who are my customers that are in market for X type of products at why kind of price and what channels do they like to be communicated to over? >>Uh, I would think that's awesome. And then that market here, we're typically infuse that message with the sort of language and content that would appeal to that customer. But they're using the artificial intelligence to be super targeted and really like deliver the message to that person in the way they want to consume it, which creates a really enjoyable experience as a customer. You don't feel spammed or you don't feel like it's effectively used. You feel like you're having a direct one-to-one personal communication with the brand or retailer. That's talking to you, which in itself creates loyalty and like increases the lifetime value of that relationship, which is great for the retailer. But I think using AI for those kinds of decisions is essentially like a great example of like amplifying the human potential of a marketing team for this. >>Absolutely. Because what we expect as consumers, regardless of what the product or service is, is that we want brands to know who we are, what we want. Don't if I just bought a tent on Amazon, don't show me more tests, show me other things that go with it. I want you to know that. And so we have this expectation that brands when whatever industry they're in, no, oh, Richard bought this. >>Exactly, exactly. So, and I think that it starts to really jar. Now you've got some retailers and brands doing this really well, and you get really enjoyable, uh, communications at the frequency you want with the offers and the promotions that were irrelevant to you. When you just start to get trapped, you know, effectively stalked around the internet for something you've already bought, it becomes really jarring and frustrating. And then that actually creates a negative brand effect for that particular brand. So it's super important that these retailers, CPG com everyone really moves to this way of thinking and tries to have a direct. And that's the beauty of AI and decision intelligence. I think for retail, if we get into retail specifically, it allows us to treat every individual customer individually because we can use the machine to make decisions on a per customer basis. And then our marketing can be amplified by that. Whereas in the past, we bucketed customers into groups and just treated them all the same, which does create a rather impersonal experience. >>Yeah. Which can be a negative for a brand, as you mentioned, but give them the ability to treat people individually, but at scale, and in real time, one of the things we learned in the pandemic is that real-time data access isn't no is not a nice to have. It's an essential one of the themes too, that Dave and I have been talking about the last few days is that we're hearing at re-invent is every company has to be a data company. Yep. Talk to me about with that in mind, are you talking to more chief data officers, chief digital officers, where are your customer conversations as we've we're in this explosion of data? >>It's a great question though. So if every company has to be a data company and a company that's powered by AI, that means you have to be talking to everyone really. So your chief data, chief chief information officers, chief data officers, CEO, CFOs, and every sort of head of business, head of line of business, it's really important. So what we do at peak is as a decision intelligence platform, peak itself, unifies everything you need in one cloud platform, into a single software product that gives you all the infrastructure for your technical teams to process data for your data scientists to create the intelligence, but then it gives you a place to work for your business teams. So unifies your whole business around a platform. And then that means our conversations. As you know, as the provider of that technology are with technical teams, they're with business teams, they're with business leaders because it has to permeate everything. So I think it's, I think that's the future companies will have to effectively run alongside they'll create their own intelligence, basically on a dedicated platform like peek. And that intelligence will then be distributed across the whole business, um, with w w you know, in the way we do it. So I think it's really cool and exciting. Yeah. >>Let let's say hypothetically, now this is something that would never happen, but just hypothetically say I'm an American goes to England to take over coaching, a British soccer, soccer, or football. Okay. I sounds crazy, but how would I, how would I use peak and Dai and BI to help improve my winning percentage if I cared about winning? Because it's possible that I would, I I'm really only interested in the personal development of my, of my team as individuals, but, but, but what would in athletics? Is that something that is a, >>I think possible? Yeah, for sure. I mean, you're seeing an explosion of data science and analytics and AI techniques being used in sport. Right. I mean, peak we're very much focused on the commercial application of AI with our platform. So we, we work with, uh, commercial businesses and so on, but in that space, yeah, absolutely. I mean, there's, if you think about it, what do you need to create that intelligence? You need data and you can see it on the back of every players share. They've got the little devices that are gathering data in training in matches, constantly monitored. Those data points, feed algorithms. Those algorithms can show us if a player is fatigued, you know, where they are, or they can even show us, uh, deep learning techniques can help us see patterns of play and understand like how should we better set our teams up? How should we get players to interact in for, you know, on a soccer field? Um, and yeah, and you're seeing premier league clubs use those sort of techniques all the time. We don't do that at peak, but yeah, I mean, I think, uh, I think those sort of things are readily available now for, uh, those kinds of clubs to do that kind of stuff. >>I think Dave is angling to be a consultant on Ted last. So I think what I'm hearing last question for you, you guys are from an AWS relationship perspective. Richard, you guys were announced just yesterday, you're named by AWS as an ISB partner, APN partner of the year for 2021 for UK. And I, congratulations. Talk to us a little bit about that. >>Yeah, it was really, I kind of, yeah, it's super exciting for us. It's a great recognition. Obviously they give one of those awards out every year, uh, as a global company, it's nice to have that sort of stamp of approval that AWS sees us as their independent software vendor partner of the year. It's a, it's a great recognition for us because we come from a heritage of, uh, starting peak as a consulting company, actually just to do whatever it took to help our customers be successful. And in doing that, we had an idea for a software platform. Uh, we got some venture funding to do that, and we've turned into a, you know, we became a software company a couple of years after we founded, uh, and to get to this point now a few years later where AWS are recognizing us as their software vendor partner of the year is, um, a huge team. Fantastic. It's a huge Testament to, uh, to our engineering teams and the, and the, and the technical teams at peak that we've built something so impactful. Yeah, >>Absolutely. That validation is really, really critical. And last question in our last 30 seconds or so what are some of the things on the roadmap that you're excited for for, for peak for 20 22, 22 >>Is going to be a huge year for us. Cause I think it's the year that, uh, our platform goes out there into the wild, into the mainstream. So we made a couple of big announcements in the last few weeks. Uh, we've launched some new products on the pig platform. So there's three big platform, product sets. Now, one very much geared around creating your AI ready data set. That's called doc, uh, one that's very much geared around creating your intelligence, which is factory. And then an area where our business like the business teams of our customers go to work, which is called work actually. So those three big feature sets are going to be available from January. And the platform is being totally opened up as a self-serve platform for anyone anywhere to build upon. So I think it's a huge moment for decision intelligence. Garner is saying decision intelligence is the big tech trend of next year. And we feel as the market leader, we've got the platform that can help everyone get on, get on that trend really. So I think we're really looking forward to 2022 and what it brings. And, um, we think that our platform and our company is in a great shape to help more and more businesses take that leap into being powered by decision Intel. >>It sounds exciting, Richard, so we'll have to follow up with you next year and see what's going on. We appreciate you joining us on the cube, talking about peep, what you're doing, your relationship with AWS and how impactful decision intelligence can be for everybody. We appreciate it. Thanks for Dave Nicholson. I'm Lisa Martin. You're watching the cube, the global leader in live tech coverage.

>>Welcome back to the cubes coverage of ADA reinvent 2021 here, the cube coverage. I'm Judd for a, your host we're on the ground with two sets on the floor, real event. Of course, it's hybrid. It's online as well. You can check it out there. All the on-demand replays are there. We're here with Sandy Carter, worldwide vice president, public sector partners and programs. And we've got Fred Swanick, her founder, and chief curator of the room. We're talking about getting the best talent programming and in the cloud, doing great things, innovation all happening, Sandy. Great to see you. Thanks for coming on the cube, but appreciate it. Thanks for halfway to see. Okay. So tell us about the room. What is the room what's going on? >>Um, well, I mentioned in the room is to help the world's most extraordinary do us to fulfill their potential. So, um, it's a community of exceptional talent that we are building throughout the world, um, and connecting this talent to each other and connecting them to the organizations that are looking for people who can really move the needle for those organizations. >>So what kind of results are you guys seeing right now? Give us some stats. >>Well, it's a, it's a relatively new concept. So we're about 5,000 members so far, um, from 77 different countries. Um, and this is, you know, we're talking about sort of the top two to 3% of talent in different fields. Um, and, um, as we go forward, you know, we're really looking, seeing this as an opportunity to curate, um, exceptional talent. Um, and it feels like software engineering, data science, UX, UI design, cloud computing, um, and, uh, it really helped to, um, identify diverse talent as well from pockets that have typically been untapped for technology. Okay. >>I want to ask you kind of, what's the, how you read the tea leaves. How do I spot the talent, but first talk about the relationship with Amazon. What's the program together? How you guys working together? It's a great mission. I mean, we need more people anyway, coding everywhere, globally. What's the AWS connection. >>So Fred and I met and, uh, he had this, I mean the brilliant concept of the room. And so, uh, obviously you need to run that on the cloud. And so he's got organizations he's working at connecting them through the room and kind of that piece that he was needing was the technology. So we stepped in to help him with the technology piece because he's got all the subject matter expertise to train 3 million Africans, um, coming up on tech, we also were able to provide him some of the classwork as well for the cloud computing models. So some of those certs and things that we want to get out into the marketplace as well, we're also helping Fred with that as well. So >>I mean, want to, just to add onto that, you know, one of the things that's unique about the room is that we're trying to really build a long-term relationship with talent. So imagine joining the room as a 20 year old and being part of it until you're 60. So you're going to have a lot of that. You collect on someone as they progress through different stages of their career and the ability for us to leverage that data, um, and continuously learn about someone's, you know, skills and values and use, um, predictive algorithms to be able to match them to the right opportunities at the right time of their lives. And this is where the machine learning comes in and the, you know, the data lake that we're building to build to really store this massive data that we're going to be building on the top talent to the world. >>You know, that's a really good point. It's a list that's like big trend in tech where it's, it's still it's over the life's life of the horizon of the person. And it's also blends community, exactly nurturing, identifying, and assisting. But at the same day, not just giving people the answer, they got to grow on their own, but some people grow differently. So again, progressions are nonlinear sometimes and creativity can come out of nowhere. Got it. Uh, which brings me up to my number one question, because this always was on my mind is how do you spot talent? What's the secret sauce? >>Well, there is no real secret source because every person is unique. So what we look for are people who have an extra dose of five things, courage, passion, resilience, imagination, and good values, right? And this is what we're looking for. And you will someone who is unusually driven to achieve great things. Um, so of course, you know, you look at it from a combination of their, their training, you know, what they, what they've learned, but also what they've actually done in the workplace and feedback that you get from previous employers and data that we collect through our own interactions with this person. Um, and so we screened them through, you know, with the town that we had, didn't fly, we take them through really rigorous selection process. So, um, it takes, uh, for example, people go through an online assessments and then they go through an in-person interview and then we'll take them through a one to three month bootcamp to really identify, you know, people who are exceptional and of course get data from different sources about the person as well. >>Sandy, how do you see this collaboration helping, uh, your other clients? I mean, obviously talent, cross pollinates, um, learnings, what's your, you see this level of >>It has, uh, you know, AWS grows, obviously we're going to need more talent, especially in Africa because we're growing so rapidly there and there's going to be so much talent available in Africa here in just a few short years. Most of the tech talent will be in Africa. I think that that's really essential, but also as looking after my partners, I had Fred today on the keynote explaining to all my partners around the world, 55,000 streaming folks, how they can also leverage the room to fill some of their roles as well. Because if you think about it, you know, we heard from Presidio there's 3 million open cyber security roles. Um, you know, we're training 20 of mine million cloud folks because we have a gap. We see a gap around the world. And part of my responsibility with partners is making sure that they can get access to the right skills. And we're counting on the room and what Fred has produced to produce some of those great skills. You have AI, AML and dev ops. Tell us some of the areas you haven't. >>You know, we're looking at, uh, business intelligence, data science, um, full-stack software engineering, cybersecurity, um, you know, IOT talent. So fields that, um, the world needs a lot more talented. And I think today, a lot of technology, um, talent is moving from one place to another and what we need is new supply. And so what the room is doing is not only a community of top 10, but we're actually producing and training a lot more new talent. And that was going to hopefully, uh, remove a key bottleneck that a lot of companies are facing today as they try to undergo the digital trends. >>Well, maybe you can add some hosts on there. We need some cube hosts, come on, always looking for more talent on the set. You could be there. >>Yeah. The other interesting thing, John, Fred and I on stage today, he was talking about how easy to the first narrative written for easy to was written by a gentleman out of South Africa. So think about that right. ECE to talent. And he was talking about Ian Musk is based, you know, south African, right? So think about all the great talent that exists. There. There you go. There you go. So how do you get access to that talent? And that's why we're so excited to partner with Fred. Not only is he wicked impressive when a time's most influential people, but his mission, his life purpose has really been to develop this great talent. And for us, that gets us really excited because we, yeah, >>I think there's plenty of opportunities to around new business models in the U S for instance, um, my friends started upstart, which they were betting on people almost like a stock market. You know, almost like currency will fund you and you pay us back. And there's all kinds of gamification techniques that you can start to weave into the system. Exactly. As you get the flywheel going, exactly, you can look at it holistically and say, Hey, how do we get more people in and harvest the value of knowledge? >>That's exactly. I mean, one of the elements of the technology platform that we developed to the Amazon with AWS is the room intelligence platform. And in there is something called legacy points. So every time you, as a member of the room, give someone else an opportunity. You invest in their venture, you hire them, you mentor them, you get points and you can leverage those points for some really cool experiences, right? So you want to game-ify um, this community that is, uh, you know, essentially crowdsourcing opportunities. And you're not only getting things from the room, but you're also giving to others to enable everyone to grow. >>Yeah, what's the coolest thing you've seen. And this is a great initiative. First of all, it's a great model. I think it's, this is the future. Cause I'm a big believer that communities groups, as we get into this hybrid world is going to open up the virtualization. What the virtual world has shown us is virtualization, which is a cloud technology when Amazon started with Zen, which is virtualization technology, but virtualization, conceptually is replicating things. So if you think hybrid world, you can blend the connect people together. So now you have this social construct, this connective tissue between relationships, and it's always evolving, you know, this and you've been involved in community from, from, from the early days when you have that social evolution, it's not software as a mechanism. It's a human thing. Exactly. It's organism, it evolves. And so if you can get the software to think like that and the group to drive the behavior, it's not community software. >>Exactly. I mean, we say that the room is not an online community. It's really an offline community powered by technology. So our vision is to actually have physical rooms in different cities around the world, whether it's talent gathers, but imagine showing up at a, at a room space and we've got the technology to know what your interests are. We know that you're working on a new venture and there's this, there's a venture capitalists in that area, investing that venture, we can connect you right then that space powered by the, >>And then you can have watch parties. For instance, there's an event going on in us. You can do some watch parties and time shifted and then re replicated online and create a localization, but yet have that connection in >>Present. Exactly, exactly. Exactly. So what are the >>Learnings, what's your big learning share with the audience? What you've learned, because this is really kind of on the front edge of the new kind of innovation we're seeing, being enabled with software. >>I mean, one thing we're learning is that, uh, talent is truly, uh, evenly distribute around the world, but what is not as opportunity. And so, um, there's some truly exceptional talent that is hidden and on tap today. And if we can, you know, and, and today with the COVID pandemic companies or around the world, a lot more open to hiring more talent. So there's a huge opportunity to access new talent from, from sources that haven't been tapped before. Well, but also learnings the power of blending, the online and offline world. So, um, you know, the room is, as I mentioned, brings people together, normally in line, but also offline. And so when you're able to meet talent and actually see someone's personality and get a sense of the culture fit the 360 degree for your foot, some of that, you can't just get on a LinkedIn. Yes. That I built it to make a decision, to hire someone who is much better. And finally, we're also learning about the importance of long-term relationships. One of my motives in the room is relationships not transactions where, um, you actually get to meet someone in an environment where they're not pretending in an interview and you get to really see who they are and build relationships with them before you need to hide them. And these are some really unique ways that we think we can redefine how talent finds opportunity in the 21st. So >>You can put a cube in every room, we pick >>You up because, >>And the cube, what we do here is that when people collaborate, whether they're doing an interview together, riffing and sharing content is creating knowledge, but that shared experience creates a bonding. So when you have that kind of mindset and this room concept where it's not just resume, get a job, see you later, it's learning, having peers and colleagues and people around you, and then seeing them in a journey, multiple laps around the track of humans >>And going through a career, not just a job. >>Yes, exactly. And then, and then celebrating the ups and downs in learning. It's not always roses, as you know, it's always pain before you accelerate. >>Exactly. And you never quite arrive at your destination. You're always growing, and this is where technology can really play. >>Okay. So super exciting. Where's this go next, Sandy. And next couple of minutes left in. >>So, um, one of the things that we've envisioned, so this is not done yet, but, um, Fred and I imagined like, what if you could have an Alexa set up and you could say, Hey, you know, Alexa, what should be my next job? Or how should I go train? Or I'm really interested in being on a Ted talk. What could I do having an Alexa skill might be a really cool thing to do. And with the great funding that Fred Scott and you should talk about the $400 million to that, he's already raised $400 million. I mean, there, I think the sky's the limit on platforms. Like >>That's a nice chunk of change. There it is. We've got some fat financing as they say, >>But, well, it's a big mission. So to request significant resources, >>Who's backing you guys. What's the, who's the, where's the money coming from? >>It's coming from, um, the MasterCard foundation. They, our biggest funder, um, as well as, um, some philanthropists, um, and essentially these are people who truly see the potential, uh, to unlock, um, opportunity for millions of people global >>For Glen, a global scale. The vision has global >>Executive starting in Africa, but truly global. Our vision is eventually to have a community of about 10 to 20 million of the most extraordinary doers in the world, in this community, and to connect them to opportunity >>Angela and diverse John. I mean, this is the other thing that gets me excited because innovation comes from diversity of thought and given the community, we'll have so many diverse individuals in it that are going to get trained and mentored to create something that is amazing for their career as well. That really gets me excited too, as well as Amazon website, >>Smart people, and yet identifying the fresh voices and the fresh minds that come with it, all that that comes together, >>The social capital that they need to really accelerate their impact. >>Then you read the room and then you get wherever you need. Thanks so much. Congratulations on your great mission. Love the room. Um, you need to be the in Cuban, every room, you gotta get those fresh voices out there. See any graduates on a great project, super exciting. And SageMaker, AI's all part of, it's all kind of, it's a cool wave. It's fun. Can I join? Can I play? I tell you I need a room. >>I think he's top talent. >>Thanks so much for coming. I really appreciate your insight. Great stuff here, bringing you all the action and knowledge and insight here at re-invent with the cube two sets on the floor. It's a hybrid event. We're in person in Las Vegas for a real event. I'm John ferry with the cube, the leader in global tech coverage. Thanks for watching.