(soft music) >> Hi everyone. And welcome to this special cube conversation and kickoff preview of the Mobile World Congress Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event 68 days until the June 28th kickoff. You might've heard TelcoDr, Telco disruptor. Is on a mission to move the telco industry to the public cloud. And, and, and it's been taken of one of the biggest spaces this year from Erickson is the big story everyone's talking about. And of course the CUBE is excited to be there and broadcast and be a partner with TelcoDr. So I'm excited to bring on the founder and CEO of TelcoDr. Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress preview. >> Thank you so much for having me. I'm psyched to talk to you about this, its going to be great. >> So Erickson always has the biggest booth 14 years. You're disrupting the Barcelona not people's shorts going to be on or off. It's officially on, it's happening. And there's going to be a physical event we're coming out of COVID still a risky move. It's going to be a big hybrid event. It's going to be in person. Tell us the story. How did you guys come out of nowhere a disruptor take the biggest real estate in the place and turn it into a community event. A news event, immediate event, everything tell us. >> Yeah, well, you know, I think it was March 9th a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID. There was a lot of unknowns, you know, is it coming? Is it not? Is it safe? Is it not? We're now, you know, year 50 to three, four months into it. I think that when you look at where we are now cases are trending down. The vaccine is up. And I think the legacy players were sort of backward looking they're like, this is a repeat of 2020. We're going to, it's not safe to go. We're going to pull out. And I'm like with a hundred days to go. And the vaccine ramping, I think I see it a different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions about how serious they were about making sure that the event was safe and could be held. And my, my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is, you know, a, you know, massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to, you know, put out my shingle right there and say welcome and show them the future , right? And instead of the legacy past and all the normal rhetoric that you hear from those you know, sort of dinosaurs, Ericsson and Nokia now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was, it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And it's, again, it's a risk that pays off if it happens, if it doesn't, you know, you didn't happen but you're like, it's like a, it's like the the startups that put a Superbowl commercial for the first time, it's a big hit and it's a big gamble that pays off huge. Take us through, I heard, how did it all happen? Did you just wake up and saw it was open? How do you know that it was open? Was it like, does the email go out, say hey I've got this huge space for >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all the journalists were like, Oh, here we go again. You know, everyone's going to bail, who who's next right? And, and everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in telco. And I was like, hey GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview. Let's do a story. Everyone's like, we'll have you on the podcast like in a month, I'm like what?! So, so when John Hoffman had put out that letter I had connected to him. And so I was like, Oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the ninth, announced by that Friday. And I really, I was like, GSMA, we've got to get this out. And we got to stop the negative momentum of the show and get people to realize it's going to be different in June. This is going to happen. Let's go do it. And so I think they are they're psyched that I stepped into the booth it's big booth it's 65,000 square feet, 6,000 square meters for for the rest of the World that use it, the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a in a football field, a soccer field. That's a one and a half football fields. It's, it's a ton of space. It's a ton of space pull off. >> I think what's interesting is there's a points out that this new business model of being connected you were on LinkedIn, you connect to them you get a deal done so fast. This is how this is the direct to consumer as a start-up you're literally took over the primo space the best space in the area. So congratulations. And, and the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global what I call hybrid event. This will probably be a cornerstone case study in and of itself because we're still kind of coming out of the pandemic. People are getting vaccinated. People want to fly. They want to get out of the house, were partnering with the CUBE and the CUBE 365 platform. And, you know, we'd love hybrid. We'd love doing events, theCUBE that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah, so I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, you know I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded forward thinking companies to join me in the booth. I'm, I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, foremost, there's, you know come and see the companies that are driving the change the new technologies that are out there and what's available for, for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole, you know, talk track right? Tech topics, business topics customer case studies involve the hyperscalers and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with theCUBE is, you know MWC was the first big show to have to cancel with COVID I think in 2019, sorry, 2020, the the dates it's always the last Monday in February and and the rest of that week. And so that's like right at the beginning of that of the COVID stuff, Italy was just starting to take off. So it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online, post COVID right? And so I don't think things just snap back to the way that they used to be. I don't think we, as consumers are going to snap back to the way that we operating we're now used to being able to get curbside delivery from any restaurant in the city, right. I mean, it's just, it's just a sort of a different expectation. And so partnering with theCUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this you really have to be there to see it boosts are kind of like unveiled the day of the show. What's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of, of, you know, what it looks like. Number one, to drive excitement with the partners that are coming, right. Like you're going to be part of something really, really fabulous. I think number two attendees can wait, I don't know week of to make the decision to go. And so maybe if COVID continues to trend down and vaccines are, are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on out we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event over the course of the, you know, all MWC. It's going to be a way for people who are unable to travel or, you know, can't afford it. COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk to watch what you guys are typically famous for, your awesome interviews. We're going to have a man on the street, you know, like you know, we're here at, at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And, you know, cruise to the booth, the robot can go to a talk. The robot can watch on this streaming thing the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees and so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel? The virtual people that are attending and really just make it feel like a community of both. So really excited >> That's super awesome. And I think one of the, first of all, thank you for having paying for everyone and including theCUBE in that but I think this speaks to the ecosystem of open you're bringing, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done and to be comfortable doing media center, we'll get you on the digital TV, but also you're also designing the first what I call the first hybrid experience not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the World, with meetings and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on AWS's re-invent happened. Google did like a crazy nine week program. It's very lonely to participate in those virtual events right. You know, you kind of log on by herself. No, one's really tweeting about it. You're watching, you know, an event the event is great, but it was really lonely. And so, you know, and I think what people love about the physical events is we're together and we're networking and we're meeting people. And so, you know, I think continue to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> No, I've got to say your, your vision is really aligned with us and others that are in this open innovation World. Because if you look at like theCUBE physical went away, we had no events. We did Q virtual, a new brand. It wasn't a pivot. It was an extension, a line extension of theCUBE. Now theCUBES coming back to the physical. We're going to bring that cube virtual to connect everybody. So this is it. And it just amplifies the value of the physical event. So if done right, is so much cooler. So, so that's cool. And what I want to ask you though on the physical side to kind of bring it back to physical is there's still going to be keynotes. There's still going to be talks at Mobile World Congress. And so I saw that schedule and I just saw last week GSMA announced you're going to be doing a keynote speech. That's amazing. So how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the back that I have one of the biggest booths at the space. I always, you know, put in a request to speak. I feel that I have really exciting message to share with the industry. Over the last I guess it's been 9 or 10 months. I really been trying to amplify, amplify my voice. I have a podcast, I have a newsletter I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like have I talked to them like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm, I'm planning a really epic talk, just I really want to shake the industry. And this is, this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry. And command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it. I hope it's like a mic drop experience and can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption, because just like you got the deal so fast, you can move fast with modern applications with the cloud moving at cloud scale, complete content, game changer, so great stuff. So totally applaud that looking forward to, and we're we're here to cheer you on and, and and ask the tough questions. I do want to get to on Twitter yesterday though, you put out on tweetstorm on Twitter, about the plans kind of teasing out the booth. How you going to plan to build the booth, are you worried that you're opening up too much of the kimono here and opened up putting too much on the table because it's usually a secret Mobile World Congress is supposed to be secret, not publicly out there. What, what's the, you know >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. You know, people usually build their booth in and don't reveal it until the first day of the show. And it's kind of like this excitement to go see what is there, what's their big message. And what's the big reveal. And there's always fun stuff. I think this year is a little bit different. So at first, like I said, at first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realize this is a super personal decision, right? It depends on where you are and the country and your, your health and your status. But, but if you can do it I want people to know that you're going to miss out. It's going to be super fun. So, um, so yeah. >> Well, let's take it. Let's take a look at the booth though. And that's why my next question, I want to see I know we have guys, do we have that, rendering, let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen, take us through this. >> Yeah. So what we want to do is give the sense of, of cloud city, right? And that's what we're calling this space in cloud cities. There's in a city there's outdoor space. Like you see here, and then there's in indoor space. And indoors is for you where you work, where you buy, where you meet. And so you can see here on the left, the demo stations that would have different vendors displaying you know, and it kind of, it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and the half or a European football field a pitch it's pretty, it's pretty extensive. And so we think we're going to have, I don't know, 20 30 vendors showing their, their different software. I think we're, we're scheduling or planning for about 24 different meeting rooms that we can schedule all COVID safe with the, with the space requirements in there, but on the out in that outdoor space, it would be where you learn right. The education and then I think we're going to have this fabulous booth for the, for theCUBE. It's going to look, It's just so amazing with the backdrop of this amazing building. And, you know, I think I underappreciated or didn't really realize, you know, how devastated the both the event planning industry has been from COVID as well as construction. You know, obviously when events were shut down these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people, you know they didn't just go home and sit around. They, they had to come up with a livelihood and this people have pivoted into another job. And they're not really, I mean events aren't really back yet. So some of these firms are shrunk. You know, the manpower is, is severely reduced. But then I think on the other side is and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth pretty much has to come from Spain. And so when we look at the booth, you know, we have, we have a pretty significant ceiling. Well, it looks like the roof of the building. It's an engineering feat to do. That we're still working through the sure. Someone with a protractor is doing lots of math. You know, the glass, we have those huge beautiful glass spans in the front getting a glass that spans that height. I think it's, I think it's 18 feet. It's six meters tall. That's going to be hard things like the flooring. I want to have like hardwood, laminate flooring. So it looks like hardwood floors. Don't know if we can find them right there. Like, why don't you do carpet? I'm like, can you just check one more vendor? I really want my floor. So, so we'll see how it goes. And yeah, I, I think that sharing this plan, the trials and tribulations, like how can this small startup, right? That usually, you know, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? You know, I think it's like, grab your popcorn and watch the train wreck or, you know, hero's journey. We get it done. >> Well, people are on clubhouse. They're bored, they want to get out. I think this is a case study. Mobile World Congress has a huge economic impact for the, as a show it's got its own little economy built around it. Impacts the, the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more of a, kind of a tactical question. If you don't mind, while I have you here, can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody that's cool and relevant, which is like almost the whole World now. So like, is it going to be a space, is there a criteria? How do people get involved? What's the collaboration formula. >> Yeah, no. I had been working on putting together a list of potential vendors. You'd be surprised, not everyone is, is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria, but otherwise anyone can come right enterprise software vendors in telco where their primary customer is a communications service provider. That's their software runs on the public cloud come on in, right. People using open man. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward. And, and they're growing up, going up against some of the biggest companies in telco, right? They're going up against Huawei. They're going up against Ericcson. Both those guys are, are very anti and then not really pro open rank because it's hugely disruptive to their business. And so, you know I'm pretty sure those guys are not psyched to see open ran you know, you know, become a thing in telco. And so it's really sort of about disruptive technologies that are that are in the, in the booth. And so, yeah, I'm paying for the space. I'm paying for the, build-out bring your demos bring your people, come with your marketing message and and let's, and let's build a community. And so we're talking to open ran vendors like Mavenir. Which is a pretty big name in the open ran, open ran space. I've been talking with parallel wireless and LTO star. Those are also great players, software vendors like Totogi, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Aria is another company that I'm really familiar with that has some cloud for software and then little tiny startups like Zquence, and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon, Elon Musk and Starlink and SpaceX to be a part of it. And we'll see, right. I'm kind of, you know, using Twitter and whatever I can to, to reach out and see if they want to be a part of it. But yeah, it's kind of really open arms, not really excluded. >> Oh, Elon, Elon is very disruptive and you know, he reached out on, you can reach out to him on Twitter. He's accessible. I mean, you've got to break through, but he is got this antenna up for innovators. People who think differently. They love people who break down walls and markets floor open wins. I mean, we, we know there's a history we've been covering it. I've been involved in my career. People who bet against open, always lose it's happened in every single wave of innovation. So Elons gettable, lets get him. >> Who doesn't love Elon Musk. I mean, I think some people don't, I love him, he's my hero. I model a lot of the things that I do around, around his, his approach, his vision, right, 20 years ago or close to 20 years ago, 2003 he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy's crazy. But every year he makes progress against his goals, right. We have a real landable rocket. He's doing a manned mission this week, a second man mission or third man mission. And the guy makes progress. And I think I'm on the same, same mission here. My mission is to move telco to the public cloud. I think it's a, it's a long journey, right? I think people are like, who's this girl and she's like 12 people, and what's your story? And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I moved the industry to the public cloud. And I it's my life's mission. And I'm psyched to do it. >> Well, we love the mojo. We'd love your style. We'd love Elon Musk, his mugshot. And again, just to bring the dots together you have that same mindset, which has, you know, as people you know, love her, love or like Elon, he's a builder. Okay, he builds things and he delivers. So as you said, so know I really appreciate the work you're doing. I love your philosophy. We're in total agreement, open, open building. Doing it together as a collective, being part of something. This is what the World needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you so much >> Yeah, yeah, no, it's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out telcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericcson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (soft music)

(upbeat music) >> Hi everyone, welcome to this special CUBE conversation and kickoff preview of the Mobile World Congress, Barcelona event. It's a physical event that's going to be taking place in person. It will probably be the first hybrid big event, 68 days until the June 28th kickoff. You might've heard TelcoDR, Telco Disruptor is on a mission to move the Telco industry to the public cloud. And it's taken one of the biggest spaces this year from Ericsson, is the big story everyone's talking about. And of course theCUBE is excited to be there and broadcast and be a partner with TelcoDR. So I'm excited to bring on the founder and CEO of TelcoDR, Danielle Royston. Danielle great to see you. Thanks for coming on for this Mobile World Congress Preview. >> Thank you so much for having me. I'm psyched to talk to you about this, it's going to be great. >> So Ericsson always has the biggest booth 14 years, you're disrupting Barcelona, people are not sure it's going to be on or off. It's officially on, it's happening and there's going to be a physical event, we're coming out of COVID still a risky move. It's going to be a big hybrid event, it's going to be in person. Tell us the story. How did you guys come out of nowhere, a disruptor take the biggest real estate in the place and turn it into a community event, a news event, a media event, everything, tell us. >> Yeah, well, I think it was March 9th, a little over a month ago. Ericsson announced that they were pulling out of MWC and it's very analogous to what happened in 2020. They were one of the first vendors to bail as well. And it kind of started this like tidal wave of people saying, can't do it. And I think the distinction now is that, that was at the beginning of COVID, there's a lot of unknowns. Is it coming, is it not, is it safe, is it not? We're now, year 50 to three, four months into it. I think that when you look at where we are now, cases are trending down, the vaccine is up. And I think the legacy players were sort of backward looking. They're like, this is a repeat of 2020 it's not safe to go, we're going to pull out. And I'm like with the a hundred days to go, in the vaccine ramping, I think I see the different way. I think there's a really big opportunity. John Hoffman, CEO of the GSMA had put out a two page missive on LinkedIn where he was personally responding to questions, about how serious they were about making sure that the event was safe and could be held. And my view was this is going to happen. And with Ericsson pulling out, I mean this is hollowed ground. I mean, this is massively successful company that has customers literally trained like Skinner's chickens to come to the same spot every year. And now I get to put out my shingle right there and say welcome and show them the future. And instead of the legacy past and all the normal rhetoric that you hear from those sort of dinosaurs, Ericsson and Nokia, now they're going to hear about the public cloud. And I'm really excited for this opportunity. I think the ROI on this event is instant. And so it was a pretty easy decision. I think I thought about it for about 30 seconds. >> It's a real bold move. And again it's a risk that pays off if it happens, if it doesn't, didn't happen, but it's like the startups that put a Superbowl commercial off for the first time. It's a big hit and it's a big gamble that pays off huge. Take us through, how did it all happen? Did you just wake up and saw it was open? How did you know that it was open? Was it like, does an email go out and say, hey I got this huge space for 55 years. >> Well, I mean, it was big news. It was big news in the industry that they were pulling out and all other journalists were like, oh, here we go again. Everyone's going to bail, who's next, right? And everyone was sort of like building that sort of negative momentum energy. And I'm like, we got to squash this. So I put out a tweet on Twitter. I mean, I'm not the most followed person but I'm kind of known in Telco. And I was like, hey, GSMA, I'll take over the booth. And I don't think people even liked my tweet, right? Like no likes no retweets. I reached out to a couple of journalists. I'm like, let's do an interview, let's do a story. Everyone's like, we'll have you on the podcast, like in a month, I'm like, what's? So when John Hoffman had put out that letter I had connected to him. And so I was like, oh, I'm connected to the CEO of the GSMA. So I went out on LinkedIn and I referenced the story and I said, John Hoffman, I'll take over the booth. And I think about 30 minutes later he responded and said, let's do it. And I said, great, who do I talk to? And I was in touch with someone within a couple of hours. And I think we put the whole deal together in 48. And I think wrote the press release and announced it on Friday. So happened on Tuesday the 9th, announced by that Friday. And I really, I was like, GSMA, we've got to get this out, and we got to stop the negative momentum of the show, and get people to realize it's going to be different in June. This is going to happen, let's go do it. And so I think they're psyched that I stepped into the booth. It's a big booth it's 65,000 square feet. 6,000 square meters for the rest of the world that use the metric system. And I mean, that's huge. I mean, that's the size of a professional pitch in a football field, a soccer field. That's a one and a half football fields. It's a ton of space, it's a ton of space to fill up. >> I think what's interesting, as this points out that this new business model of being connected you were on LinkedIn, you connect to them, you get a deal done so fast. This is the direct to consumer as a start up, you're literally took over the Primo space, the best face in the area, so congratulations. And the other thing that's notable and why I'm excited to talk to you is that this kind of sets the table for the first global, what I call hybrid event. This will probably be a cornerstone case study in and of itself, because we're still kind of coming out of the pandemic. People are getting vaccinated, people want to fly, they want to get out of the house. You're partnering with theCUBE, and the CUBE 365 platform. And we love hybrid, we love doing events, theCUBE, that's what we do with video. Now, we're going to do a partnership with you to create this hybrid experience. What can people and guests who come to Barcelona or watch remotely expect? >> Yeah so, I think there's a couple of experiences that we're trying to drive in the booth. I think obviously demonstrations, I can't fill 65,000 square feet on my own. I'm a startup small company. And so I am inviting like-minded, forward thinking companies to join me in the booth. I'm paying for it providing a turnkey experience for those vendors. And so I think what we have in common is we're thinking about future technologies, like open ran on the network side and obviously public cloud which is a big part of my message. And so first and foremost, come and see the companies that are driving the change, the new technologies that are out there, and what's available for carriers to start to adopt and think about. MWC is a meeting intensive event. Deals are done at this show. In 2019, I think the stat is $65 billion of deals were put together at the show. And so a big component of the booth will be a place for executives to come together and have private conversations. And so we're going to have that. So that's going to be a big piece of it. And I think the third part is driving education and thought leadership. And so there's going to be a whole talk track, right? Tech topics, business topics, customer case studies, involve the hyperscalers, and really start to educate the telco community around these new technologies. But there'll be shorter talks. They won't be like hour long keynotes. We're talking 15, 20 minutes. And I think one thing that we're going to do with you as you were just talking about with the CUBE is, you know, MWC was the first big show to have to cancel with COVID, I think in 2019, sorry, 2020, the dates, it's always the last Monday in February and the rest of that week. And so that's like right at the beginning of the COVID stuff, Italy was just starting to take off. And so it was one of the first shows that had to make a big call and decide to cancel, which they did. This is going to be one of the first shows that comes back online post COVID, right? And so I don't think things just snap back to the way that they used to be. I don't think we as consumers are going to snap back to the way that we were operating, we're now used to being able to get curbside delivery from any restaurant in the city. I mean, it's just a sort of a different expectation. And so partnering with the CUBE, we really want to provide an experience that brings the virtual people into the booth. Typically in events like this, you really have to be there to see it. Booths are kind of like unveiled the day of the show, what's going on. One thing I'm trying to do is really educate people about what you can expect. What can you see? This is what it's going to look like. And so we're going to start to share some pictures of the booth of what it looks like. Number one, to drive excitement with the partners that are coming, right? Like you're going to be part of something really, really fabulous. I think number two, attendees can wait, I don't know week off, to make the decision to go. And so maybe if COVID continues to trend down and vaccines are picking up steam, maybe they're like it's safe for me to go and I want to go be a part of that. But I think from here on now we're going to have sort of that virtual experience. It's always going to be part of shows. And so we're going to experiment with you guys. We're going to have a live streaming event, over the course of all MWC. It's going to be a way for people who are unable to travel or can't afford it, COVID or whatever, see what's going on in the booth. And it's going to be everything from listen to a talk, to watch what you guys are typically famous for, your awesome interviews. We're going to have man on the street, like we're here at at a demo station, take us through your little demo. We're going to have telepresence robots that people can reserve. And cruise through the booth the robot can go to a talk. The robot can watch on this streaming thing, the robot can go to a demo. The robot can go to a meeting and it's controlled by the the virtual attendees. And so experimenting, right? Like how do we make this great for virtual people? How do we make the virtual people feel part of the physical? How do the physical people feel the virtual people that are attending and really just make it feel like a community or both. So, we're excited. >> That's super awesome, and first of all, thank you for having paying for everyone and including theCUBE in there. But I think this speaks to the ecosystem of open, you're creating an open ecosystem. And I think that is a huge thing. So for people who are at Mobile World Congress in Barcelona this is going to be a nice, safe place to hang space as well as get deals done. As we comfortable doing media center, we'll get you on the digital TV, but also you're also designing what I call the first hybrid experience, not just having people, having on-demand videos on their website, connecting Barcelona with other parts of the world, with media and stories and content. I think that to me is going to be a great experiment slash upgrade. We'll see, we'll get to see it how it goes. >> Well, it was really, I mean, we all lived through 2020. I mean, some of the shows went on, AWS's re-invent happened, Google did like a crazy nine week program. It's very lonely to participate in those virtual events. You kind of log on by ourselves. No one's really tweeting about it. You're watching an event, the event is great but it was really lonely. And so I think what people love about the physical events is we're together and we're networking and we're meeting people and so, I think continuing to evolve that experience so that virtual is not as lonely. So we'll see, we'll see how it goes. >> I got to say your vision is really aligned with us and others that are in this open innovation world. Because if you look at like theCUBE, physical went away, we had no events, we did CUBE Virtual, a new brand. It wasn't a pivot, it was an extension, a line extension of theCUBE. Now theCUBE's coming back to the physical, we're going to bring that CUBE Virtual to connect everybody. So this is it, and it just amplifies the value of the physical event. So if done right, it's so much cooler. So that's cool. And what I want to ask you on the physical side to kind of bring it back to physical is, there's still going to be keynotes, there's still going to be talks at Mobile World Congress, and so I saw that scheduled and I just saw last week, GSM may announced you're going to be doing a keynote speech. That's amazing, so, how did that happen? So give us the lowdown on the keynote that you're doing. >> I'm sure the entire industry is like that happened. And it probably has something to do with the fact that I have one of the biggest booths at the space. I always put in a request to speak. I feel that I have a really exciting message to share with the industry. Over the last, I guess it's been nine or 10 months, I really been trying to amplify my voice. I have a podcast, I have a newsletter, I'm talking to execs. I have a list that I literally go down one by one stalking each executive of like, have I talked to them? Like how I told them about like the power of the public cloud. And so I am super thankful that I have this opportunity to spread that this message and I'm planning a really epic talk. I really want to shake the industry And this is my opportunity, right? This is my opportunity to stand on the biggest stage in our industry and command a presence and send out my message. And I'm absolutely thrilled to go do it. And I hope I crush it, I hope it's like a mic drop experience. And can't wait to do it. >> Well, we're looking forward to covering it. And we love the open vision. We love the idea of public cloud and the enablement and the disruption. Because just like you got the deal so fast you can move fast with modern applications with the cloud, moving at cloud scale, complete content game changer, so great stuff. So totally applaud that looking forward to and we're here cheer you on and ask the tough questions. I do want to get to... On Twitter yesterday though, you put out on tweetstorm on Twitter about the plans kind of teasing out the booth, how are you going to plan to build the booth. Are you worried that you're opening up too much of the kimono here and putting too much on the table 'cause it's usually a secret. Mobile World Congress is supposed to be secret, not publicly out there. What's the-- >> Well, I mean, I think this is just a little bit of a change has happened post COVID, right. People usually build their booth at don't reveal it until the first day of the show and it's kind of like this excitement to go see what is their big message and what's the big reveal. And there's always fun stuff. I think this years will be different as a first, like I said, a first big event back. I think I need to create a little bit of excitement for people who are going and maybe entice people that maybe you should think about coming. I realized this is a super personal decision, right? It depends on where you are and the country and your health and your status. But if you can do it, I want people to know that you're going to miss out. It's going to be super fun. So, yeah. >> Let's take a look at the booth 'cause I'm sure my next question wants to see. I know we have guys, do we have that rendering... Let's pull that up and let's talk this through. Let's go look at the rendering. So you can see here on the screen... Take us through this. >> Yeah, so what we want to do is give the sense of of cloud city and that's what we're calling the space. In cloud city there's outdoor space, like you see here. And then there's an indoor space. And indoors is where you work, where you buy, where you meet. And so you can see here on the left, the demonstration that would have different vendors displaying and it goes way back. I mean, what we're feeling like I said is like a football field, an American football field and a half or a European football field, a pitch. It's pretty extensive. And so we think we're going to have, I don't know, 20, 30 vendors showing their different software. I think we're scheduling or planning for about 24 different meeting rooms that we can schedule. All COVID safe with the space requirements in there. But in that outdoor space, it would be where you learn, the education. And then I think we're going to have this fabulous booth for theCUBE. It's going to look just so amazing with the backdrop of this amazing building. And I think I underappreciated or didn't really realize how devastated the event planning industry has been from COVID as well as construction. Obviously when events were shut down, these companies had to lay off thousands of workers. Some of the big firms have laid off 50% of their workforce. And those people they didn't just go home and sit around, they had to come up with a livelihood and those people have pivoted into another job. And they're not really, I mean, events aren't really back yet. So some of these firms are shrunk. The manpower is severely reduced. But then I think on the other side is, and you can see this in just housing construction. There's a lumber shortage, there's a shortage of materials. And so everything that we source for the booth, pretty much has to come from Spain. And so when we look at the booth, we have a pretty significant ceiling, where it looks like the roof of the building. It's an engineering feat to do that we're still working through the... I'm sure someone with a protractor is doing lots of math. The glass, we have those huge beautiful glass spans in the front. Getting a glass that spans that height, I think it's 18 feet. It's six meters tall. That's going to be hard. Things like the flooring. I want to have like hardwood laminate flooring. So it looks like hardwood floors. Don't know if we can find them. There like, why don't you do carpet? I'm like, can you just check one more vendor. I really want my floor. So we'll see how it goes. And yeah, I think that sharing this plan, the trials and tribulations, like how can this small startup, take over a space that usually takes nine months to plan, right? Who is this girl? What is she doing? How are they going to pull this off? I think it's like, grab your popcorn and watch the train wreck or hero's journey. We get it done. And I'm obviously-- >> It's like keeping up with the Kardashians. It's the bachelor, it's theCUBE, reality TV show. We can keep track of everything. It's all the fun. >> No, totally. I don't know how many people would be interested in a reality TV show about how you build a booth but I find it absolutely fascinating. I think a lot of people have eyes on the GMA and MWC coming out of COVID and what does that look like, and what's the attendance like. And so I'm excited to share (murmurs) So, exact. >> Well, people are on clubhouse, they're bored, they want to get out. I think this is a case time. Mobile World Congress has a huge economic impact, as a show it's got its own little economy built around. It impacts the country of Spain in Barcelona, the city, a great city. People love it. And so it certainly is notable and newsworthy. We will be following that story. I have to ask you more kind of a tactical question if you don't mind, while I have you here. Can you talk about some of the vendors that are coming and the kinds of talks you're going to have inside the booth and how do people get involved? You mentioned it's open to people who love open ran and open public cloud, open technologies. I mean, that's pretty much everybody. That's cool and relevant, which is like almost the whole world now. Like, is it going to be a space as a criteria? How do people get involved? What's the collaboration formula? >> Yeah, no, I have been working on putting together a list of potential vendors. You'd be surprised, not everyone is as bullish as I am on the public cloud. And so there was a little bit of a filtering criteria but otherwise anyone can come. Enterprise software vendors in telco where their primary customer is communications service provider. That's their software runs on the public cloud, come on in. People using open ran. And it's still a little sort of small band of cohorts that are really trying to drive this new technology forward and they're going up against some of the biggest companies in telco, right? They're going up against Huawei, they're going up against Ericsson. Both those guys are very anti and they're not really pro open ran 'cause it's hugely disruptive to their business. And so I'm pretty sure those guys are not psyched to see open ran become a thing in telco. And so it's really sort of about disruptive technologies that are in the booth. And so yeah, I'm paying for the space, I'm paying for the build-out, bring your demos, bring your people, come with your marketing message and let's build a community. And so we're talking to open ran vendors like Mavenir which is a pretty big name in the open ran space. I've been talking with Parallel Wireless in LTO Star. Those are also great players. Software vendors like to Tutoki, which is a talk that I did a little over a month ago about this new startup that has a web-scale charger that they're trying to put out there. Auria is another company that I'm really familiar with that has some cloud for software. And in little tiny startups like Sequence and some other up-and-comers that no one's heard of. So we're really excited to invite them into the booth. I've been secretly stalking Elon Musk, and Starlink and Space X to be a part of it. And we'll see. I'm kind of using Twitter and whatever I can to reach out and see if they want to be a part of it. But yeah, it really open arms. Not really excluding-- >> Well, Elon is very disruptive and you can reach out to him on Twitter. He's accessible. I mean, you've got to break through and he's antenna up for innovators, people who think differently, they love people who break down walls and markets lower open wins. I mean, we know there's a history, we've been covering it. I've been involved in all my career. People who bet against open always lose. It's happened in every single wave of innovation. So Elon's gettable. Let's get him. >> Who doesn't love Elon Musk? I mean, I think some people don't, I love him. He's my hero. I model a lot of the things that I do around his approach, his vision. 20 years ago, or close to 20 years ago, 2003, he said he was going to put people on Mars. And I think people laughed at him for being like the PayPal guy and this guy is crazy, but every year he makes progress against his goals. We have a relandable rocket. He's doing a manned mission this week, the second man mission or third man mission. The guy makes progress. And I think I'm on the same mission here. My mission is to move Telco to the public cloud. I think it's a long journey, right? I think people are like, who is this girl? And she's like 12 people and what's her story. And I'm like, I don't care. I have a singular mission is a quest. I am not going to stop until I move the industry to the public cloud. And it's my life's mission and I'm psyched to do it. >> Well, we love the mojo, we love your style. We love Elon Musk's mojo. And again, just to bring the dots together you have that same mindset, which is, love like Elon, he's a builder. He builds things and he delivers. So as you said, so... Danielle, I really appreciate the work you're doing. I love your philosophy. We're in total agreement. Open building. Doing it together as a collective, being part of something? This is what the world needs. You got a lot of great ideas in the works and we can't wait to hear them. And what you got coming up over the next 68 days. This is the first of many conversations together. Thank you. >> Yeah, that's going to be so awesome. Thank you so much for having me. Psyched to talk to you about it. >> Okay. Mobile World Congress is happening in Barcelona on the June 28th. It's going to be in person and it's going to be probably the biggest hybrid event to date. Be there, check out TelcoDR and theCUBE and the space that they took over 14 years at the helm there. Ericson had it, now it's TelcoDR. Danielle Royston, founder and CEO here with me from TelcoDR. Thanks for watching. (upbeat music)

>>from around the >>globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, >>Hi. We are the Cube live covering AWS reinvent 2020. I'm Lisa Martin, and I've got one of our cube alumni back with me. Mike Miller is here. General manager of A W s AI Devices at AWS. Mike, welcome back to the Cube. >>Hi, Lisa. Thank you so much for having me. It's really great to join you all again at this virtual reinvent. >>Yes, I think last year you were on set. We have always had to. That's at reinvent. And you you had the deep race, your car, and so we're obviously socially distance here. But talk to me about deepracer. What's going on? Some of the things that have gone on the last year that you're excited >>about. Yeah, I'd love to tell. Tell you a little bit about what's been happening. We've had a tremendous year. Obviously, Cove. It has restricted our ability to have our in person races. Eso we've really gone gone gangbusters with our virtual league. So we have monthly races for competitors that culminate in the championship. Um, at reinvent. So this year we've got over 100 competitors who have qualified and who are racing virtually with us this year at reinvent. They're participating in a series of knockout rounds that are being broadcast live on twitch over the next week. That will whittle the group down to AH Group of 32 which will have a Siris of single elimination brackets leading to eight finalists who will race Grand Prix style five laps, eight cars on the track at the same time and will crown the champion at the closing keynote on December 15th this year. >>Exciting? So you're bringing a reinforcement, learning together with with sports that so many of us have been missing during the pandemic. We talked to me a little bit about some of the things that air that you've improved with Deep Racer and some of the things that are coming next year. Yeah, >>absolutely so, First of all, Deep Racer not only has been interesting for individuals to participate in the league, but we continue to see great traction and adoption amongst big customers on dare, using Deep Racer for hands on learning for machine learning, and many of them are turning to Deep Racer to train their workforce in machine learning. So over 150 customers from the likes of Capital One Moody's, Accenture, DBS Bank, JPMorgan Chase, BMW and Toyota have held Deep Racer events for their workforces. And in fact, three of those customers Accenture, DBS Bank and J. P. Morgan Chase have each trained over 1000 employees in their organization because they're just super excited. And they find that deep racers away to drive that excitement and engagement across their customers. We even have Capital one expanded this to their families, so Capital One ran a deep raise. Their Kids Cup, a family friendly virtual competition this past year were over. 250 Children and 200 families got to get hands on with machine learning. >>So I envisioned some. You know, this being a big facilitator during the pandemic when there's been this massive shift to remote work has have you seen an uptick in it for companies that talking about training need to be ableto higher? Many, many more people remotely but also train them? Is deep Racer facilitator of that? Yeah, >>absolutely. Deep Racer has ah core component of the experience, which is all virtualized. So we have, ah, console and integration with other AWS services so that racers can participate using a three d racing simulator. They can actually see their car driving around a track in a three D world simulation. Um, we're also selling the physical devices. So you know, if participants want to get the one of those devices and translate what they've done in the virtual world to the real world, they can start doing that. And in fact, just this past year, we made our deep race or car available for purchase internationally through the Amazon Com website to help facilitate that. >>So how maney deep racers air out there? I'm just curious. >>Oh, thousands. Um, you know, And there what? What we've seen is some companies will purchase you, know them in bulk and use them for their internal leagues. Just like you know, JP Morgan Chase on DBS Bank. These folks have their own kind of tracks and racers that they'll use to facilitate both in person as well as the virtual racing. >>I'm curious with this shift to remote that we mentioned a minute ago. How are you seeing deepracer as a facilitator of engagement. You mentioned engagement. And that's one of the biggest challenges that so Maney teams develops. Processes have without being co located with each other deep Brister help with that. I mean, from an engagement perspective, I think >>so. What we've seen is that Deep Racer is just fun to get your hands on. And we really lower the learning curve for machine learning. And in particular, this branch called reinforcement Learning, which is where you train this agent through trial and error toe, learn how to do a new, complex task. Um, and what we've seen is that customers who have introduced Deep Racer, um, as an event for their employees have seen ah, very wide variety of employees. Skill sets, um, kind of get engaged. So you've got not just the hardcore deep data scientists or the M L engineers. You've got Web front end programmers. You even have some non technical folks who want to get their hands dirty. Onda learn about machine learning and Deep Racer really is a nice, gradual introduction to doing that. You can get engaged with it with very little kind of coding knowledge at all. >>So talk to me about some of the new services. And let's look at some specific use case customer use cases with each service. Yeah, >>absolutely. So just to set the context. You know, Amazon's got hundreds. A ws has hundreds of thousands of customers doing machine learning on AWS. No customers of all sizes are embedding machine learning into their no core business processes. And one of the things that we always do it Amazon is We're listening to customers. You know, 90 to 95% of our road maps are driven by customer feedback. And so, as we've been talking to these industrial manufacturing customers, they've been telling us, Hey, we've got data. We've got these processes that are happening in our industrial sites. Um, and we just need some help connecting the dots like, how do we really most effectively use machine learning to improve our processes in these industrial and manufacturing sites? And so we've come up with these five services. They're focused on industrial manufacturing customers, uh, two of the services air focused around, um, predictive maintenance and, uh, the other three services air focused on computer vision. Um, and so let's start with the predictive maintenance side. So we announced Amazon Monitor On and Amazon look out for equipment. So these services both enable predictive maintenance powered by machine learning in a way that doesn't require the customer to have any machine learning expertise. So Mono Tron is an end to end machine learning system with sensors, gateway and an ML service that can detect anomalies and predict when industrial equipment will require maintenance. I've actually got a couple examples here of the sensors in the gateway, so this is Amazon monitor on these little sensors. This little guy is a vibration and temperature sensor that's battery operated, and wireless connects to the gateway, which then transfers the data up to the M L Service in the cloud. And what happens is, um, the sensors can be connected to any rotating machinery like pump. Pour a fan or a compressor, and they will send data up to the machine learning cloud service, which will detect anomalies or sort of irregular kind of sensor readings and then alert via a mobile app. Just a tech or a maintenance technician at an industrial site to go have a look at their equipment and do some preventative maintenance. So um, it's super extreme line to end to end and easy for, you know, a company that has no machine learning expertise to take advantage of >>really helping them get on board quite quickly. Yeah, >>absolutely. It's simple tea set up. There's really very little configuration. It's just a matter of placing the sensors, pairing them up with the mobile app and you're off and running. >>Excellent. I like easy. So some of the other use cases? Yeah, absolutely. >>So So we've seen. So Amazon fulfillment centers actually have, um, enormous amounts of equipment you can imagine, you know, the size of an Amazon fulfillment center. 28 football fields, long miles of conveyor belts and Amazon fulfillment centers have started to use Amazon monitor on, uh, to monitor some of their conveyor belts. And we've got a filament center in Germany that has started using these 1000 sensors, and they've already been able to, you know, do predictive maintenance and prevent downtime, which is super costly, you know, for businesses, we've also got customers like Fender, you know, who makes guitars and amplifiers and musical equipment. Here in the US, they're adopting Amazon monitor on for their industrial machinery, um, to help prevent downtime, which again can cost them a great deal as they kind of hand manufacture these high end guitars. Then there's Amazon. Look out for equipment, which is one step further from Amazon monitor on Amazon. Look out for equipment. Um provides a way for customers to send their own sensor data to AWS in order to build and train a model that returns predictions for detecting abnormal equipment behavior. So here we have a customer, for example, like GP uh, E P s in South Korea, or I'm sorry, g S E P s in South Korea there in industrial conglomerate, and they've been collecting their own data. So they have their own sensors from industrial equipment for a decade. And they've been using just kind of rule basic rules based systems to try to gain insight into that data. Well, now they're using Amazon, look out for equipment to take all of their existing sensor data, have Amazon for equipment, automatically generate machine learning models on, then process the sensor data to know when they're abnormalities or when some predictive maintenance needs to occur. >>So you've got the capabilities of working with with customers and industry that that don't have any ML training to those that do have been using sensors. So really, everybody has an opportunity here to leverage this new Amazon technology, not only for predicted, but one of the things I'm hearing is contact list, being able to understand what's going on without having to have someone physically there unless there is an issue in contact. This is not one of the words of 2020 but I think it probably should be. >>Yeah, absolutely. And in fact, that that was some of the genesis of some of the next industrial services that we announced that are based on computer vision. What we saw on what we heard when talking to these customers is they have what we call human inspection processes or manual inspection processes that are required today for everything from, you know, monitoring you like workplace safety, too, you know, quality of goods coming off of a machinery line or monitoring their yard and sort of their, you know, truck entry and exit on their looking for computer vision toe automate a lot of these tasks. And so we just announced a couple new services that use computer vision to do that to automate these once previously manual inspection tasks. So let's start with a W A. W s Panorama uses computer vision toe improve those operations and workplace safety. AWS Panorama is, uh, comes in two flavors. There's an appliance, which is, ah, box like this. Um, it basically can go get installed on your network, and it will automatically discover and start processing the video feeds from existing cameras. So there's no additional capital expense to take a W s panorama and have it apply computer vision to the cameras that you've already got deployed, you know, So customers are are seeing that, um, you know, computer vision is valuable, but the reason they want to do this at the edge and put this computer vision on site is because sometimes they need to make very low Leighton see decisions where if you have, like a fast moving industrial process, you can use computer vision. But I don't really want to incur the cost of sending data to the cloud and back. I need to make a split second decision, so we need machine learning that happens on premise. Sometimes they don't want to stream high bandwidth video. Or they just don't have the bandwidth to get this video back to the cloud and sometimes their data governance or privacy restrictions that restrict the company's ability to send images or video from their site, um, off site to the cloud. And so this is why Panorama takes this machine learning and makes it happen right here on the edge for customers. So we've got customers like Cargill who uses or who is going to use Panorama to improve their yard management. They wanna use computer vision to detect the size of trucks that drive into their granaries and then automatically assign them to an appropriately sized loading dock. You've got a customer like Siemens Mobility who you know, works with municipalities on, you know, traffic on by other transport solutions. They're going to use AWS Panorama to take advantage of those existing kind of traffic cameras and build machine learning models that can, you know, improve congestion, allocate curbside space, optimize parking. We've also got retail customers. For instance, Parkland is a Canadian fuel station, um, and retailer, you know, like a little quick stop, and they want to use Panorama to do things like count the people coming in and out of their stores and do heat maps like, Where are people visiting my store so I can optimize retail promotions and product placement? >>That's fantastic. The number of use cases is just, I imagine if we had more time like you could keep going and going. But thank you so much for not only sharing what's going on with Deep Racer and the innovations, but also for show until even though we weren't in person at reinvent this year, Great to have you back on the Cube. Mike. We appreciate your time. Yeah, thanks, Lisa, for having me. I appreciate it for Mike Miller. I'm Lisa Martin. You're watching the cubes Live coverage of aws reinvent 2020.

(upbeat music) >> Narrator: From around the globe, it's the cube with digital coverage of AWS re:invent 2020, sponsored by Intel, AWS, and our community partners. >> Hey, welcome back, everybody. Jeff Frick here with the cube. Welcome back to our ongoing coverage of AWS re:invent 2020. It's virtual this year, just like everything is virtual this year. But it's still the biggest event in cloud, and we're excited to be back. I'd like to welcome in our next guest, he is Erez Yarkoni, head of cloud and telco technologies for checkpoint software technologies. There it is great to see you. >> Nice to see you, Jeff. Thank you for hosting me this morning. >> Absolutely, so let's jump into it. You've been in the cloud space. For a while I saw a great interview with you, I think like four or five years ago, when I was doing some research, and you're talking about, all the great innovation that's coming from cloud. That was years and years ago. Now, suddenly, we had COVID arrived. And I'm sure you've seen all the social media means who's driving your digital transformation, the CEO, the CMO, or COVID. And we don't know what the answer is. So first off, I'd just love to get your perspective, you've been in this a long time now that we're here in 2020, both in terms of the development of the cloud and the adoption of the cloud, as well as this accelerant that came into our lives in March. >> Hey Jeff, You know I have been lucky that I got to participate in this kind of innovation cycle of IT and technology. Earlier, I was a CIO for an organization, large organization, and we were adopting cloud. At the same time, as an organization, we were selling technologies and networks to our customers, and they were asking to adopt cloud and so on. And these are probably some of the early interviews we looked at. So I got lucky that I had to look at my own organization and understand where cloud is beneficial. And obviously, now I work with cybersecurity and secure in the cloud. So it's all come together. I think that as as cloud technologies came in, it really came in to help many of us address the fundamental need to come to market with business capabilities and functionality faster. For those of us in technology, you know we were probably always the bottleneck of our business counterparts that said. Well, if you could only do this for me, I could grow the business, I could change your business, I can go to other places, I can incrementally bring more customers, revenues, and so on. The cloud platforms have done a tremendous job allowing developers and operators have technology to change the speed in which they service their businesses. But with speed comes security. And I think the cloud platforms disneynow. Specifically, here platforms like AWS build security into into the cloud as well. But there's other needs in it and the pandemic or COVID. All it did is it shifted some of these motions into another gear and then it created some new business needs that can only be service that digital mean, you are now having a collaboration session over a digital channel where otherwise would be probably sitting in the same studio. So definitely collaboration has changed. Commerce have changed, especially for some organizations that never planned to do commerce over digital channels, small businesses and so on. Just think about the food delivery industry and how many new customers have now sole, restaurants that have now signed up for food delivery services that must have exploded. These continuous changes brought continuous needs to address security as well. AWS is allowing people to build some amazing applications. I watched the commercials when I watch football on Sunday. Right? So peloton and zoom in education and many other things. And yeah, so when people build those amazing applications, the next thing they need to do is make sure that the zoom session is secure. And nobody's crashing in if you have a bunch of kids doing zoom for school. >> Erez you talked on so many topics on that. So let's break a few of them down. First off, I just, you know thank goodness for cloud, right? >> Yeah >> If this pandemic had hit 10 years ago, 15 years ago, we would not have been able those of us in the IT industry to shift so easily to cloud based or excuse me to working from home or working from anywhere because of the cloud based applications huge enabler. But it's funny now once on what you just talked about, did you talk about cost savings? And I still find there's a lot of people that are looking at cloud as a way to save costs. You been in it for a while, and you know the truth is all about agility and speed of business, speed of adoption, speed of innovation. You said it in every single one of your answers. But it still seems to be a lag for a lot of people now with with COVID, and, you know securing people work from home, one of the big issues go back to security is increasing attack surface. And we know the increasing sophistication of the bad guys. Now, I'm hearing from some people that they're actually using old techniques that they used to use back in the day because they know people are at home, and maybe things are as locked down. You talk about security needs to bake be baked in all long the way we're using all these, more and more cloud based apps. How do people think about the security perspective? How do you bake it into everything that you do? And how do you respond to the increased attack surfaces that have now suddenly opened up to look like for probably a little while not just going back to the old way, anytime soon? >> Yeah, so you know, you you touched on that, you said that you hear about people using old secure the old attack methods or vectors or so on, coming back, because people are now at home and no longer behind a very secure environment in their office or in the data center, people had to maybe move things that they never thought they would call center operations. That was by definition, you showed up to the call center for certain organizations and moved it out. And they may have not been ready to move those applications so on, so they had to address the security of it. I think that's exactly it, which is now some of the reaction we had to have for just staying in business. We used kind of very older, or, we increased what we know about security about remote access by increasing VPN capacity for the organization or, or those type of methodologies. Now people are looking at what happened to our topology to our architecture, where are people and machines coming in to execute their work over the network? Where are the applications residing? What have we moved to the cloud because we had to know flex for capacity and speed and maybe localize and move it into regions and so on. I don't think it was about cost saving, as you think it was about business agility, especially in this phase. I actually think that at the end of the day, the big benefit from cloud is business agility. Cost has to come with it, we cannot sacrifice costs and everything we do. And we look at overall how we use cloud technologies and other technologies and make sure that the cost fits into what our business demands from a cost structure but it is about business agility. Now, it's also about security agility. So people are building, you know methods and capabilities to match the business agility with security and security was, at least for me, for instance, as as a CIO, security was a bottleneck. So when business demanded the Agile development, you know iterations, sprints, deliver functionality in weeks, and, you know keep pouring it into the environment. One of the inhibitors was security, right, we weren't ready for it, we weren't ready to release it. So we had to find a way to adopt it. And then came in companies like AWS, saying, we built some of that security built into the platform. And companies like checkpoint saying we have cloud security that moves at cloud speed and allows you to integrate into your CICD, environmental or, or processes and allows you to match the speed of the business with the speed of security. >> Yeah, that's great. I mean, again, I agree with you, 100%, it's all about agility, and speed of business. And being able to move faster just always surprises me how people how many people are still kind of stuck on the cost saving piece. And then the other thing, of course, which you're super aware of, if you've ever been to one of kind of the technical keynotes at AWS re:invent the amount of investment that they can make an infrastructure including security, in just, just completely over overshadows anything in an individual company can invest just in terms of the resources and then somebody like you guys can leverage on top of not only using the the massive Amazon, kind of core investments in security at the infrastructure layer, but then all the stuff that you guys can do in terms of securing the enterprise and helping make sure that the right people have access to the right information at the right time, but not a lot more than that. I wonder if you can talk about a new kind of zero trust in some of the evolution within security in terms of the posturing, and how you kind of make assumptions, as we said, it's no longer like a wall anymore, it's no longer talking about having these physical borders, or even logical borders, but it's really about access and breaking down access even to the person in the application and the data etc. >> Yeah, I think you asked specifically about zero trust, and I think that we want to move, maybe want to keep that the the theme here around the application security, I'll get to zero trust at the end. You know, so one of the things that that definitely is thematic, or what we see happening is, in the evolution in the maturity curve of adopting the cloud, the initial adoption was, maybe some lift shift from organizations and the IaaS layer was a big player. But the PaaS layers of the cloud are where all the interesting things happen, where all the exciting services, all the innovation coming from organizations like AWS, all the enablers for a business agility, and capabilities are coming from there. And when you start developing your applications for that PaaS layer, we start leveraging the services, the type of security changes, so you're no longer looking at network security, or maybe northeast, east west, north south, east west type of security on your network, you're now looking at security API's and securing the backplane of the cloud, from those services that they give you, you know you get to encrypt your buckets, you got to make sure your security groups are correct, you want to make sure your serverless functions are not executing anything malicious in them or, or talking to IP addresses, they shouldn't be. Same with your container, you want to make sure that your container code is scanned properly, you didn't download anything in there that's malicious. And obviously, have runtime security, both to make sure you're compliant from a posture perspective, you make compliance may require you to be PCI compliant one of those. So the elevation in which you execute to security changed from the from the stack from a kind of a traditional stack, requires different capabilities and between what AWS has built into the platform and what checkpoint puts together in cloud guard. This is big, the big target, then we get into, okay, so how do you access all these great things that we just built? Right? So we built these, this great application? It's sitting on AWS, it's using some of the great services there. How do you how do you get to it? Who gets to it? How do you get to it? This is where some of these, sassy and zero trusts come in. Because what happened is, you used to come into a lot of enterprise applications from the data center, then we moved some web apps, and you came over the web into the application. So we have some web firewalls and security for that. Now you're getting into every application from the edge of the network, because we are all at home, or we are we used to be traveling but a lot more of us are now at home coming over the edge of the network, we're adding IoT devices coming on via generic and so on, there's a lot more volume coming at you. And you get to find different ways than just VPN authentication of the traffic into so we are coming into the age of having to identify who's coming at the application at the capability at any given time. And that's where you come into the framework of zero trust, I, every time you come in, I'm going to authenticate that is you. And there's different methodologies in there. For instance, one of the things that we just added to our portfolio is the ability to put an agent, let's say in your around your AWS application, and allow remote access with no VPN to your enterprise app aah to an acquisition company we call odo without having to put a VPN so the administrator defines what applications are connected to the connector. They define who's the users that are allowed and authenticate them based on the authentication framework, let's say Octo, something like that, and allows them to come in and that that those are the type of capabilities you need in these new frameworks. So, how do you get to these great applications we're building? >> Right, right. And you touched on something really interesting, right, which is, which is the complexity is only going up? As you mentioned edge you mentioned a little bit of IoT, right, so as 5G comes on board, as IoT gets increasing amounts of traction. All these applications are API based there's all types of information flying back and forth, so I wonder if you can share kind of your guys thoughts on, applied machine learning and artificial intelligence to help, you know kind of get through all the all the signal or excuse me all the noise, find the signal, and really, you know bring more automation to help the security experts in the security systems be more effective at their jobs. >> Yeah, so I think a lot of what we talked about, until now was protecting establishing a new perimeter, there's not really a perimeter, right because we talked about the perimeter has grown and it's fuzzy and it's at scale that really doesn't allow you to say I have it for an undersea up to authentic everybody. But like you said, with that speed, and scale, came a lot of data, you got a lot of logs running in there, you're like got a lot of events, you got a lot of things that you can look into. And by looking into them, you can start with machine learning and those type of AI methodologies start looking both to identify things before they happen, or inform organizations and inform about things that are already happened and they're in and potentially remediate them. At checkpoint, for instance, we have something called the threat, the threat cloud, we collect these events from every gateway, every appliance, every virtual appliance, every type of security agent that we have around the world, into the flex cloud that processes and I'm going to throw a number there, that's the closer about 80 billion a day transactions. >> 80 billion with B >> Yeah, and that allows us to, to process to apply machine learning and AI algorithms to find threat, and then inform all these great checkpoint security agents out there of new threats and prevent those threats from ever happening in the in the environment. Right? If you're operating on a on an AWS environment, there's a lot of blood flows happening in your environment, there's a lot of things to collect and look at, right. So in cloud guard, we offer something called logic log.ic, which allows you to harvest those logs, we enrich them and then we allow threat hunting inside those environment, right. So those types of capabilities are definitely kind of the future of advanced security, right. So beyond just establishing, it's like, you establish your security around what you do. And then you have your intelligence unit starting to identify what signals are out there allowing you to both prevent security breaches or any type of threats, but also remediate anything, any, you find the traces of things that happened and remediate them. >> Right, right. Well, there is that's, that's a great illustration of, kind of baking security into the multiple steps of the process and all the steps of the process. That's not just a bolt on anymore. It's got to be, part of everything you do and baked into everything you do. I still, I still wonder how certain companies that that are run by having people click on links that they're not familiar with still happen today. But I guess, I guess they still do. So as I give you the final word, again, you've been in this space for a long time, as we kind of turned to turn the page on 2020. What are some of your priorities we are you excited about for 2021? >> I think the most exciting things for us in cloud security in 2021 is we're releasing more capabilities into into the environment, we're in the maturity curve, of protecting, your network in the cloud, and then protecting your posture in the cloud. We're moving very strongly into predicting your runtime and applications in the cloud, your API's, and working with organizations through that maturity curve and getting them up to all the way up to threat hunting capabilities. And I think that'll be exciting because I hear from customers that they need to move quickly through that maturity curve of cloud security as they have accelerated and continue there to accelerate their move to the cloud. >> Well, that's great. Well, I think, no shortage of job security in the cloud security space. So I'm sure it will be a busy year. Well, it was thanks for sharing your insight. Really appreciate the time and it was great catching up. >> Thank you, Jeff, for your time today. And it was great talking to you. >> Absolutely. All right. Well, he's Erez I'm Jeff. You're watching the cubes, continuous coverage of AWS re:invent 2020 Thanks for watching. I'll see you next time. (upbeat music)

(gentle music) >> Narrator: From around the globe, it's theCUBE with digital coverage of AnsibleFest 2020 brought to you by Red Hat. >> Hey, welcome back everybody. Jeff Frick here with theCUBE. Welcome back to our continuous coverage of AnsibleFest 2020. We're not in person this year, as everybody knows, but we're back covering the event. We're excited to be here and really our next guest we've had him on a lot of times. He's super insightful coming right off the keynote, driving into some really interesting topics that we're excited to get into. It's Chris Wright, he's the Chief Technology Officer of Red Hat Chris, great to see you. >> Hey, great to see you. Thanks for having me on. >> Absolutely. So let's jump into it. I mean, you covered so many topics in your keynote. The first one though, that just jumps off the page, right, is automation and really rethinking automation. You know, and I remember talking to a product manager at a hyperscaler many months ago, and he talked about the process of them mapping out their growth and trying to figure out how are they going to support it in their own data center. And he just basically figured out, we cannot do this at scale without automation. So I think the hyperscaler has been doing it, but really it's kind of a new approach for enterprises to incorporate new and more automation in what they do every day. >> It's a fundamental part of scaling. And I think we've learned over time that one we need programming interfaces on everything. So that's a critical part of beginning of the automation journey. So now you have a programmatic way to interact with all the things out there. But the other piece is just creating really confidence in knowing that when you're automating and you're taking tasks away from humans which are actually error prone and typing on the keyboard is not always the greatest way to get things done. The confidence that those automation scripts or playbooks are going to do the right things at the right time. And so, creating really a business and a mindset around infusing automation everything you do is a pretty big journey for the enterprise >> Right. And that's one of the topics you talked about as well. And you know it comes up all the time with digital transformation or software development. This kind of shift the focus from, you know, kind of it's a destination to it's a journey. And you talked very specifically that you need to think about automation as a journey and as a process and even a language, and really bake it into as many processes as you possibly can. I'm sure that shocks a lot of people and probably scares them but really that's the only way to achieve these types of scales that we're seeing out there. >> Well, I think so. And part of what I was trying to highlight is the notion that a business is filled with people with domain expertise. So everybody brings something to the table. You're a business analyst, you understand the business part of what you're providing. You're the technologist. You really understand the technology. There's a partner ecosystem coming in with a critical parts of the technology stack. And when you want to bring this all together, you need to have a common way to communicate. And the... What I was really trying to point out is a language for communication across all those different cross functional parts of your business is critical. Number one, and number two, that language can actually be an automation language. And so, choosing that language wisely obviously we're talking to AnsibleFest. So we're going to be talking a lot about Ansible in this context. Treating that language wisely is part of how you build the end to end sort of internalized view of what automation means to your business. >> Right. I wrote down a bunch of quotes that you talked about, you know, Ansible is the language of automation, and automation should be a primary communication language. Again, very different kind of language that we don't hear. Now, it's more than a tool but a process a constant process and should be an embedded component of any organization. So, I mean, you're really talking about automation as a first class citizen, not kind of this last thing for the most advanced or potentially last thing for the most simple things where we can apply this process, but really needs to be a fundamental core of the way you think about everything that you do. Really a very different way to think about things and probably really appropriate, you know, as we come out of 2020 in this kind of new world where, you know, everyone like distributed teams, well now you have distributed teams. And so, you know, the forcing function on better tooling, that's really wrapped in better culture has never been greater than we're seeing today. >> I completely agree with that. And that domain expertise, I think we understand well in certain areas. So for example, application developers, they rely on one another. So, you maybe as an application developer consuming a service from somebody else in your microservices architecture, and so you're dependent on that other engineering team's domain expertise. Maybe that's even the database service, and you're not a database DBA or an engineer that really builds schemas for databases. So we kind of get that notion of encapsulating domain expertise in the building and delivering about applications that notion the CICD pipeline, which itself is automating how you build and deliver applications, that notion of encapsulating domain expertise across a series of different functions in your business can go much broader than just building and delivering the application. It's running your business. And that's where it becomes fundamental. It becomes a process. That's the journey, you know, not the end state, but it's the... And it's not the destination, it's the journey that matters. And I've seen some really interesting ways that people actually work on this and try to approach it from the, "How do you change your mindset?" Here's one example that I thought was really unique. I was speaking with a customer who quite literally automated their existing process, and what they did was automate everything from generating the emails to the PDFs, which would then be shared as basically printed out documents for how they walked through business change when they're making a change in their product. And the reason they did that was not because that was the most efficient model at all. It was... That was the way they could get the teams comfortable with automation. If it produced the same artifacts that they were already used to, then it created confidence and then they could sort of evolve the model to streamline it because printing out a piece of paper to review it is not going to be the efficient way to (indistinct) change your business. >> Well, just to follow up on that, right? Cause I think what would probably scares a lot of people about automation, one is exception handling and can you get all the Edge cases in the use cases? So in the one you just talked about, how do they deal with that? And then I think the other one is just simply control. Do I feel confident enough that I can get the automation to a place that I'm comfortable to hand over control? And I'm just curious in that case you just outlined how do they deal with kind of those two factors? >> Well, they always enabled a human checkpoint, so especially in the beginning. So it was sort of trust but verify that model and over time you can look at the things that you really understand well and start with those and the things that have more kind of gray zones, where the exceptions may be the rule or maybe the critical part of the decision making process. Those can be sort of flagged as needs real kind of human intervention. And that's a way to sort of evolve and iterate and not start off with the notion that everything has to be automated. You can do it piecemeal and grow over time and you'll build confidence and you'll understand how to flag those exceptions, where you actually need to change your process itself because you may have bottlenecks that don't really make sense for the business anymore and where you can incorporate the exception handling into the automation essentially. >> Right, that's great. Thank you for sharing that example. I want to shift gears a little bit cause another big topic that you covered in your keynote that we talk about all the time on theCUBE is Edge. So everybody knows what a data center is, everybody knows what a public cloud is, you know lots of conversations around hybrid cloud and multicloud, et cetera, et cetera, et cetera. But this new thing is Edge and I think people talk about Edge in kind of an esoteric way, but I think you just nailed it. I mean you just nailed it very simply, moving the compute to where the data is collected and or consumed. You know I thought that was super elegant, but what you didn't get into on all the complexity is what means. I mean data centers are our pristine environments that they're very, very controlled, the environment's controlled, the network is controlled, the security is controlled and you have the vision of an Edge device and the one everyone always likes to use let's say like a wind farm. Those things are out in crazy harsh conditions and then there's still this balancing act as to what information does get stored and processed and used and then what does have to go back to the data center because it's not a substitute for the data center it's really an extension of the data center or maybe the data center is actually an extension of the Edge. Maybe that's a better way to think of it but we've had all these devices out there, now suddenly we're connecting them and bringing them into a network and add a control. And I just thought the Edge represents such a big shift in the way we're going to see compute change probably as fundamental I would imagine as the cloud shift has been. >> I believe it is, I absolutely believe it's as big a change in the industry as the cloud has been. The cloud really created scale, it created automation, programmatic interfaces to infrastructure and higher level services. But it also was built around a premise of centralization. I mean clouds themselves are distributed and so you can create availability zones and resilient applications, but there's still a sense of centralization. Edge is really embracing the notion that data production is kind of only up into the right and the way to scale processing that data and turning that data into insights and information that's valuable for our business is to bring compute closer to data. Not really a new concept, but the scale at which it's happening is what's really changing how we think about building infrastructure and building the support behind all that processing and it's that scale that requires automation. Because you're just not going to be able to manage thousands or tens of thousands or in certain scenarios even millions of devices without putting automation at the forefront. It's critical. >> Right. And we can't talk about Edge without talking about 5G and I laugh every time I'm watching football on Sundays and they have the 5G commercials on talking about my handset that I can order my food to get delivered faster at my house like completely missing the point. 5G is about machine to machine communication and the scale and the speed and the volume of machine to machine is so fundamentally different than humans talking voice to voice. And that's really this big drivers to instrument as you said, all these machines, all these devices there's already been sensors on them forever but now the ability to actually connect them and pull them into this network and start to use the data and control the machines is a huge shift in the way things are going to happen going forward. >> A couple of things that are important in there. Number one, that data production and sensors and bringing computer closer to data, what that represents is bringing the digital world and the physical world closer together. We'll experience that at a personal level with how we communicate we're already distributed in today's environment and the ways we can augment our human connections through a digital medium are really going to be important to how we maintain our human connections. And then on the enterprise side, we're building this infrastructure in 5G that when you think about it from a consumer point of view and ordering your pizza faster it really isn't the right way to think about it. Couple of key characteristics of 5G. Greater bandwidth, so you can just push more package to the network. Lower latency, so you're closer to the data and higher connection density and more reliable connections. And that kind of combination of characteristics make it really valuable for enterprise businesses. You can bring your data and compute close together you have these highly reliable and dense connections that allow for device proliferation and that's the piece that's really changing where the world's going. I like to think of it in a really simple way which is, 4G and the cloud and the smartphone created a world that today we take for granted, 10 years ago we really couldn't imagine what it looked like. 5G, device proliferation and Edge computing today is building the footprint for what we can't really imagine what we will be taking for granted in 10 years from now. So we're at this great kind of change inflection point in the industry. >> I have to always take a moment to call out (indistinct). I think it's the most underappreciated law and it's been stolen by other people and repackage many ways, but it's basically we overestimate the impact of these things in the short term and we way, way, way, way, kind of underestimate the impact in the longterm and I think your story in they keynote about once we had digital phones and smartphones, we don't even think twice about looking at a map and where are we and where is a store close buy-in are they open and is there a review? I mean the infrastructure to put that together kind of an API based economy which is pulling together all these bits and pieces the stupid relay expectation of performance and how fast that information is going to be delivered to me. I think we still take it for granted, as you said I think it's like magic and we never thought of all the different applications of these interconnected apps enabled by and always on device that's always connected and knows where we are it's a huge change. And as you say that when we think about 5G, 10 years from now, oh my goodness, where are we going to be? >> It's hard to imagine? It really is hard to imagine and I think that's okay. And what we're doing today is introducing everything that we need to help businesses evolve, take advantage of that and that scale of the Edge is a fundamental characteristic of the Edge. And so automating to manage that scale is the only way you're going to be successful and extending what we've learned in the data center, how to the Edge using the same tools, the things we already understand really is a great way to evolve a business. And that's where that common language and the discussions that I was trying to generate around Ansible as a great tool, but it's not just the tool, it's the whole process, the mindset. The culture changed the way you change how you operate your business that's going to allow us to take advantage of the future where my clothes are full of sensors and you can look through a video camera and tell immediately that I'm happy with this conversation. That's a very different kind of augmented reality than we have today and maybe it's a bad example but it's hard to imagine really what it will be like. >> So, Chris, I just want to close on a slight shift. We've been talking a lot about technology, but you talk about culture all the time and really it's about the people and I think a number of times in the keynote you reinforced this is about people and culture. And I just had InaMarie Johnson on the Chief Diversity Officer from Zendesk and she said culture eats strategy for breakfast. Great line. So I wonder if you can talk about the culture because it's very different and you've seen it in opensource from Red Hat for a long time really a shifting culture around opensource the shifting culture around DevOps and continuous delivery and change is a good thing, not a bad thing and we want to be able to change our code frequently and push out new features. So again, as you think of automation and culture, what kind of comes to mind and what should people be thinking about when they think about the people and less about the technology? >> Well, there's a couple of things. Some I'll reinforce what we already touched on which is the notion of creating confidence in the automation. So there's an element of trust associated with that and that's more maybe trusting the technology. So when you're automating something you've already got a process, you already understand how something works, it's turning that something into an automated script or playbook in the Ansible context and trusting that it's going to do the right thing. There's another important part of trust which is getting more to the people part. And I've learned this a lot from open source communities collaboration and communities are fundamentally built around trust and human trust relationships. And the change in process, trusting not only that the tools are going to the right job but that people are really assuming good intent and working with or trying to build for the right outcomes for your business. I think that's a really important part of the overall picture. And then finally that trust is extended to knowing that that change for the business isn't going to compromise your job. So thinking differently about what is your job? Is your job to do the repetitive task or is your job to free up your time from that repetitive task to think more creatively about value you can bring to the business. And that's where I think it's really challenging for organizations to make changes because you build a personal identity around the jobs that you do and making changes to those personal identities really gets to the core of who you are as a person. And that's why I think it's so complicated. The tools almost start the easy part, it's the process changes and the cultural changes, the mindset changes behind that which is difficult but more powerful in the end. >> Well, I think people process tools the tech is always the easy part relative to culture and people in changing the way people do things and as you said, who their identity is, how they get kind of wrapped into what they do and what they think their value is and who they are. So to free them up from that that's a really important point. Well, Chris, I always love having you on, thank you for coming on again, sharing your insight, great keynote. And give your the last word about AnsibleFest 2020. What are you looking forward to take away from this little show? >> Well, number one, my personal hope is that the conversation that I was trying to sort of ignite through the keynote is an opportunity for the community to see where Ansible fits in the Edge and automation and helping really the industry at large scale. And that key part of bringing a common language to help change how we communicate internally is the message I was hoping to impart on the AnsibleFest Community. And so hopefully we can take that broader and appreciate the time here to really amplify some of those messages. >> All right, great. Well, thanks a lot Chris and have a great day. >> Thanks Jeff, thank you. >> All right. He's Chris, I'm Jeff you're watching theCUBE and our ongoing coverage of AnsibleFest 2020. Thanks for watching we'll see you next time. (gentle music)

(speaks in foreign language) >> Narrator: Data is at the heart of transformation and the change every company needs to succeed, but it takes more than new technology. It's about teams, talent, and cultural change. Empowering everyone on the front lines to make decisions, all at the speed of digital. The transformation starts with you. It's time to lead the way, it's time for thought leaders. >> Welcome to Thought Leaders, a digital event brought to you by ThoughtSpot. My name is Dave Vellante. The purpose of this day is to bring industry leaders and experts together to really try and understand the important issues around digital transformation. We have an amazing lineup of speakers and our goal is to provide you with some best practices that you can bring back and apply to your organization. Look, data is plentiful, but insights are not. ThoughtSpot is disrupting analytics by using search and machine intelligence to simplify data analysis, and really empower anyone with fast access to relevant data. But in the last 150 days, we've had more questions than answers. Creating an organization that puts data and insights at their core, requires not only modern technology, but leadership, a mindset and a culture that people often refer to as data-driven. What does that mean? How can we equip our teams with data and fast access to quality information that can turn insights into action. And today, we're going to hear from experienced leaders, who are transforming their organizations with data, insights and creating digital-first cultures. But before we introduce our speakers, I'm joined today by two of my co-hosts from ThoughtSpot. First, Chief Data Strategy Officer for ThoughtSpot is Cindi Hausen. Cindi is an analytics and BI expert with 20 plus years experience and the author of Successful Business Intelligence Unlock The Value of BI and Big Data. Cindi was previously the lead analyst at Gartner for the data and analytics magic quadrant. And early last year, she joined ThoughtSpot to help CDOs and their teams understand how best to leverage analytics and AI for digital transformation. Cindi, great to see you, welcome to the show. >> Thank you, Dave. Nice to join you virtually. >> Now our second cohost and friend of theCUBE is ThoughtSpot CEO Sudheesh Nair. Hello Sudheesh, how are you doing today? >> I am well Dave, it's good to talk to you again. >> It's great to see you. Thanks so much for being here. Now Sudheesh, please share with us why this discussion is so important to your customers and of course, to our audience and what they're going to learn today? (gentle music) >> Thanks, Dave, I wish you were there to introduce me into every room that I walk into because you have such an amazing way of doing it. It makes me feel also good. Look, since we have all been cooped up in our homes, I know that the vendors like us, we have amped up our, you know, sort of effort to reach out to you with invites for events like this. So we are getting way more invites for events like this than ever before. So when we started planning for this, we had three clear goals that we wanted to accomplish. And our first one that when you finish this and walk away, we want to make sure that you don't feel like it was a waste of time. We want to make sure that we value your time, and this is going to be useful. Number two, we want to put you in touch with industry leaders and thought leaders, and generally good people that you want to hang around with long after this event is over. And number three, as we plan through this, you know, we are living through these difficult times, we want an event to be, this event to be more of an uplifting and inspiring event too. Now, the challenge is, how do you do that with the team being change agents? Because change and as much as we romanticize it, it is not one of those uplifting things that everyone wants to do or likes to do. The way I think of it, change is sort of like, if you've ever done bungee jumping. You know, it's like standing on the edges, waiting to make that one more step. You know, all you have to do is take that one step and gravity will do the rest, but that is the hardest step to take. Change requires a lot of courage and when we are talking about data and analytics, which is already like such a hard topic, not necessarily an uplifting and positive conversation, in most businesses it is somewhat scary. Change becomes all the more difficult. Ultimately change requires courage. Courage to to, first of all, challenge the status quo. People sometimes are afraid to challenge the status quo because they are thinking that, "You know, maybe I don't have the power to make the change that the company needs. Sometimes I feel like I don't have the skills." Sometimes they may feel that, I'm probably not the right person to do it. Or sometimes the lack of courage manifest itself as the inability to sort of break the silos that are formed within the organizations, when it comes to data and insights that you talked about. You know, there are people in the company, who are going to hog the data because they know how to manage the data, how to inquire and extract. They know how to speak data, they have the skills to do that, but they are not the group of people who have sort of the knowledge, the experience of the business to ask the right questions off the data. So there is this silo of people with the answers and there is a silo of people with the questions, and there is gap. These sort of silos are standing in the way of making that necessary change that we all I know the business needs, and the last change to sort of bring an external force sometimes. It could be a tool, it could be a platform, it could be a person, it could be a process, but sometimes no matter how big the company is or how small the company is. You may need to bring some external stimuli to start that domino of the positive changes that are necessary. The group of people that we have brought in, the four people, including Cindi, that you will hear from today are really good at practically telling you how to make that step, how to step off that edge, how to trust the rope that you will be safe and you're going to have fun. You will have that exhilarating feeling of jumping for a bungee jump. All four of them are exceptional, but my honor is to introduce Michelle and she's our first speaker. Michelle, I am very happy after watching her presentation and reading her bio, that there are no country vital worldwide competition for cool patents, because she will beat all of us because when her children were small, you know, they were probably into Harry Potter and Disney and she was managing a business and leading change there. And then as her kids grew up and got to that age, where they like football and NFL, guess what? She's the CIO of NFL. What a cool mom. I am extremely excited to see what she's going to talk about. I've seen the slides with a bunch of amazing pictures, I'm looking to see the context behind it. I'm very thrilled to make the acquaintance of Michelle. I'm looking forward to her talk next. Welcome Michelle. It's over to you. (gentle music) >> I'm delighted to be with you all today to talk about thought leadership. And I'm so excited that you asked me to join you because today I get to be a quarterback. I always wanted to be one. This is about as close as I'm ever going to get. So, I want to talk to you about quarterbacking our digital revolution using insights, data and of course, as you said, leadership. First, a little bit about myself, a little background. As I said, I always wanted to play football and this is something that I wanted to do since I was a child but when I grew up, girls didn't get to play football. I'm so happy that that's changing and girls are now doing all kinds of things that they didn't get to do before. Just this past weekend on an NFL field, we had a female coach on two sidelines and a female official on the field. I'm a lifelong fan and student of the game of football. I grew up in the South. You can tell from the accent and in the South football is like a religion and you pick sides. I chose Auburn University working in the athletic department, so I'm testament. Till you can start, a journey can be long. It took me many, many years to make it into professional sports. I graduated in 1987 and my little brother, well not actually not so little, he played offensive line for the Alabama Crimson Tide. And for those of you who know SEC football, you know this is a really big rivalry, and when you choose sides your family is divided. So it's kind of fun for me to always tell the story that my dad knew his kid would make it to the NFL, he just bet on the wrong one. My career has been about bringing people together for memorable moments at some of America's most iconic brands, delivering memories and amazing experiences that delight. From Universal Studios, Disney, to my current position as CIO of the NFL. In this job, I'm very privileged to have the opportunity to work with a team that gets to bring America's game to millions of people around the world. Often, I'm asked to talk about how to create amazing experiences for fans, guests or customers. But today, I really wanted to focus on something different and talk to you about being behind the scenes and backstage. Because behind every event, every game, every awesome moment, is execution. Precise, repeatable execution and most of my career has been behind the scenes doing just that. Assembling teams to execute these plans and the key way that companies operate at these exceptional levels is making good decisions, the right decisions, at the right time and based upon data. So that you can translate the data into intelligence and be a data-driven culture. Using data and intelligence is an important way that world-class companies do differentiate themselves, and it's the lifeblood of collaboration and innovation. Teams that are working on delivering these kind of world class experiences are often seeking out and leveraging next generation technologies and finding new ways to work. I've been fortunate to work across three decades of emerging experiences, which each required emerging technologies to execute. A little bit first about Disney. In '90s I was at Disney leading a project called Destination Disney, which it's a data project. It was a data project, but it was CRM before CRM was even cool and then certainly before anything like a data-driven culture was ever brought up. But way back then we were creating a digital backbone that enabled many technologies for the things that you see today. Like the MagicBand, Disney's Magical Express. My career at Disney began in finance, but Disney was very good about rotating you around. And it was during one of these rotations that I became very passionate about data. I kind of became a pain in the butt to the IT team asking for data, more and more data. And I learned that all of that valuable data was locked up in our systems. All of our point of sales systems, our reservation systems, our operation systems. And so I became a shadow IT person in marketing, ultimately, leading to moving into IT and I haven't looked back since. In the early 2000s, I was at Universal Studio's theme park as their CIO preparing for and launching the Wizarding World of Harry Potter. Bringing one of history's most memorable characters to life required many new technologies and a lot of data. Our data and technologies were embedded into the rides and attractions. I mean, how do you really think a wand selects you at a wand shop. As today at the NFL, I am constantly challenged to do leading edge technologies, using things like sensors, AI, machine learning and all new communication strategies, and using data to drive everything, from player performance, contracts, to where we build new stadiums and hold events. With this year being the most challenging, yet rewarding year in my career at the NFL. In the middle of a global pandemic, the way we are executing on our season is leveraging data from contact tracing devices joined with testing data. Talk about data actually enabling your business. Without it we wouldn't be having a season right now. I'm also on the board of directors of two public companies, where data and collaboration are paramount. First, RingCentral, it's a cloud based unified communications platform and collaboration with video message and phone, all-in-one solution in the cloud and Quotient Technologies, whose product is actually data. The tagline at Quotient is The Result in Knowing. I think that's really important because not all of us are data companies, where your product is actually data, but we should operate more like your product is data. I'd also like to talk to you about four areas of things to think about as thought leaders in your companies. First, just hit on it, is change. how to be a champion and a driver of change. Second, how to use data to drive performance for your company and measure performance of your company. Third, how companies now require intense collaboration to operate and finally, how much of this is accomplished through solid data-driven decisions. First, let's hit on change. I mean, it's evident today more than ever, that we are in an environment of extreme change. I mean, we've all been at this for years and as technologists we've known it, believed it, lived it. And thankfully, for the most part, knock on wood, we were prepared for it. But this year everyone's cheese was moved. All the people in the back rooms, IT, data architects and others were suddenly called to the forefront because a global pandemic has turned out to be the thing that is driving intense change in how people work and analyze their business. On March 13th, we closed our office at the NFL in the middle of preparing for one of our biggest events, our kickoff event, The 2020 Draft. We went from planning a large event in Las Vegas under the bright lights, red carpet stage, to smaller events in club facilities. And then ultimately, to one where everyone coaches, GMs, prospects and even our commissioner were at home in their basements and we only had a few weeks to figure it out. I found myself for the first time, being in the live broadcast event space. Talking about bungee jumping, this is really what it felt like. It was one in which no one felt comfortable because it had not been done before. But leading through this, I stepped up, but it was very scary, it was certainly very risky, but it ended up being also rewarding when we did it. And as a result of this, some things will change forever. Second, managing performance. I mean, data should inform how you're doing and how to get your company to perform at its level, highest level. As an example, the NFL has always measured performance, obviously, and it is one of the purest examples of how performance directly impacts outcome. I mean, you can see performance on the field, you can see points being scored and stats, and you immediately know that impact. Those with the best stats usually win the games. The NFL has always recorded stats. Since the beginning of time here at the NFL a little... This year is our 101st year and athlete's ultimate success as a player has also always been greatly impacted by his stats. But what has changed for us is both how much more we can measure and the immediacy with which it can be measured and I'm sure in your business it's the same. The amount of data you must have has got to have quadrupled recently. And how fast do you need it and how quickly you need to analyze it is so important. And it's very important to break the silos between the keys to the data and the use of the data. Our next generation stats platform is taking data to the next level. It's powered by Amazon Web Services and we gather this data, real-time from sensors that are on players' bodies. We gather it in real time, analyze it, display it online and on broadcast. And of course, it's used to prepare week to week in addition to what is a normal coaching plan would be. We can now analyze, visualize, route patterns, speed, match-ups, et cetera, so much faster than ever before. We're continuing to roll out sensors too, that will gather more and more information about a player's performance as it relates to their health and safety. The third trend is really, I think it's a big part of what we're feeling today and that is intense collaboration. And just for sort of historical purposes, it's important to think about, for those of you that are IT professionals and developers, you know, more than 10 years ago agile practices began sweeping companies. Where small teams would work together rapidly in a very flexible, adaptive and innovative way and it proved to be transformational. However today, of course that is no longer just small teams, the next big wave of change and we've seen it through this pandemic, is that it's the whole enterprise that must collaborate and be agile. If I look back on my career, when I was at Disney, we owned everything 100%. We made a decision, we implemented it. We were a collaborative culture but it was much easier to push change because you own the whole decision. If there was buy-in from the top down, you got the people from the bottom up to do it and you executed. At Universal, we were a joint venture. Our attractions and entertainment was licensed. Our hotels were owned and managed by other third parties, so influence and collaboration, and how to share across companies became very important. And now here I am at the NFL an even the bigger ecosystem. We have 32 clubs that are all separate businesses, 31 different stadiums that are owned by a variety of people. We have licensees, we have sponsors, we have broadcast partners. So it seems that as my career has evolved, centralized control has gotten less and less and has been replaced by intense collaboration, not only within your own company but across companies. The ability to work in a collaborative way across businesses and even other companies, that has been a big key to my success in my career. I believe this whole vertical integration and big top-down decision-making is going by the wayside in favor of ecosystems that require cooperation, yet competition to co-exist. I mean, the NFL is a great example of what we call co-oppetition, which is cooperation and competition. We're in competition with each other, but we cooperate to make the company the best it can be. And at the heart of these items really are data-driven decisions and culture. Data on its own isn't good enough. You must be able to turn it to insights. Partnerships between technology teams who usually hold the keys to the raw data and business units, who have the knowledge to build the right decision models is key. If you're not already involved in this linkage, you should be, data mining isn't new for sure. The availability of data is quadrupling and it's everywhere. How do you know what to even look at? How do you know where to begin? How do you know what questions to ask? It's by using the tools that are available for visualization and analytics and knitting together strategies of the company. So it begins with, first of all, making sure you do understand the strategy of the company. So in closing, just to wrap up a bit, many of you joined today, looking for thought leadership on how to be a change agent, a change champion, and how to lead through transformation. Some final thoughts are be brave and drive. Don't do the ride along program, it's very important to drive. Driving can be high risk, but it's also high reward. Embracing the uncertainty of what will happen is how you become brave. Get more and more comfortable with uncertainty, be calm and let data be your map on your journey. Thanks. >> Michelle, thank you so much. So you and I share a love of data and a love of football. You said you want to be the quarterback. I'm more an a line person. >> Well, then I can't do my job without you. >> Great and I'm getting the feeling now, you know, Sudheesh is talking about bungee jumping. My vote is when we're past this pandemic, we both take him to the Delaware Water Gap and we do the cliff jumping. >> Oh that sounds good, I'll watch your watch. >> Yeah, you'll watch, okay. So Michelle, you have so many stakeholders, when you're trying to prioritize the different voices you have the players, you have the owners, you have the league, as you mentioned, the broadcasters, your partners here and football mamas like myself. How do you prioritize when there are so many different stakeholders that you need to satisfy? >> I think balancing across stakeholders starts with aligning on a mission and if you spend a lot of time understanding where everyone's coming from, and you can find the common thread that ties them all together. You sort of do get them to naturally prioritize their work and I think that's very important. So for us at the NFL and even at Disney, it was our core values and our core purpose is so well known and when anything challenges that, we're able to sort of lay that out. But as a change agent, you have to be very empathetic, and I would say empathy is probably your strongest skill if you're a change agent and that means listening to every single stakeholder. Even when they're yelling at you, even when they're telling you your technology doesn't work and you know that it's user error, or even when someone is just emotional about what's happening to them and that they're not comfortable with it. So I think being empathetic, and having a mission, and understanding it is sort of how I prioritize and balance. >> Yeah, empathy, a very popular word this year. I can imagine those coaches and owners yelling, so thank you for your leadership here. So Michelle, I look forward to discussing this more with our other customers and disruptors joining us in a little bit. >> (gentle music) So we're going to take a hard pivot now and go from football to Chernobyl. Chernobyl, what went wrong? 1986, as the reactors were melting down, they had the data to say, "This is going to be catastrophic," and yet the culture said, "No, we're perfect, hide it. Don't dare tell anyone." Which meant they went ahead and had celebrations in Kiev. Even though that increased the exposure, additional thousands getting cancer and 20,000 years before the ground around there can even be inhabited again. This is how powerful and detrimental a negative culture, a culture that is unable to confront the brutal facts that hides data. This is what we have to contend with and this is why I want you to focus on having, fostering a data-driven culture. I don't want you to be a laggard. I want you to be a leader in using data to drive your digital transformation. So I'll talk about culture and technology, is it really two sides of the same coin? Real-world impacts and then some best practices you can use to disrupt and innovate your culture. Now, oftentimes I would talk about culture and I talk about technology. And recently a CDO said to me, "You know, Cindi, I actually think this is two sides of the same coin, one reflects the other." What do you think? Let me walk you through this. So let's take a laggard. What does the technology look like? Is it based on 1990s BI and reporting, largely parametrized reports, on-premises data warehouses, or not even that operational reports. At best one enterprise data warehouse, very slow moving and collaboration is only email. What does that culture tell you? Maybe there's a lack of leadership to change, to do the hard work that Sudheesh referred to, or is there also a culture of fear, afraid of failure, resistance to change, complacency. And sometimes that complacency, it's not because people are lazy. It's because they've been so beaten down every time a new idea is presented. It's like, "No, we're measured on least to serve." So politics and distrust, whether it's between business and IT or individual stakeholders is the norm, so data is hoarded. Let's contrast that with the leader, a data and analytics leader, what does their technology look like? Augmented analytics, search and AI driven insights, not on-premises but in the cloud and maybe multiple clouds. And the data is not in one place but it's in a data lake and in a data warehouse, a logical data warehouse. The collaboration is via newer methods, whether it's Slack or Teams, allowing for that real-time decisioning or investigating a particular data point. So what is the culture in the leaders? It's transparent and trust. There is a trust that data will not be used to punish, that there is an ability to confront the bad news. It's innovation, valuing innovation in pursuit of the company goals. Whether it's the best fan experience and player safety in the NFL or best serving your customers, it's innovative and collaborative. There's none of this, "Oh, well, I didn't invent that. I'm not going to look at that." There's still pride of ownership, but it's collaborating to get to a better place faster. And people feel empowered to present new ideas, to fail fast and they're energized knowing that they're using the best technology and innovating at the pace that business requires. So data is democratized and democratized, not just for power users or analysts, but really at the point of impact, what we like to call the new decision-makers or really the frontline workers. So Harvard Business Review partnered with us to develop this study to say, "Just how important is this? We've been working at BI and analytics as an industry for more than 20 years, why is it not at the front lines? Whether it's a doctor, a nurse, a coach, a supply chain manager, a warehouse manager, a financial services advisor." 87% said they would be more successful if frontline workers were empowered with data-driven insights, but they recognize they need new technology to be able to do that. It's not about learning hard tools. The sad reality only 20% of organizations are actually doing this. These are the data-driven leaders. So this is the culture and technology, how did we get here? It's because state-of-the-art keeps changing. So the first generation BI and analytics platforms were deployed on-premises, on small datasets, really just taking data out of ERP systems that were also on-premises and state-of-the-art was maybe getting a management report, an operational report. Over time, visual based data discovery vendors disrupted these traditional BI vendors, empowering now analysts to create visualizations with the flexibility on a desktop, sometimes larger data, sometimes coming from a data warehouse. The current state-of-the-art though, Gartner calls it augmented analytics. At ThoughtSpot, we call it search and AI driven analytics, and this was pioneered for large scale data sets, whether it's on-premises or leveraging the cloud data warehouses. And I think this is an important point, oftentimes you, the data and analytics leaders, will look at these two components separately. But you have to look at the BI and analytics tier in lock-step with your data architectures to really get to the granular insights and to leverage the capabilities of AI. Now, if you've never seen ThoughtSpot, I'll just show you what this looks like. Instead of somebody hard coding a report, it's typing in search keywords and very robust keywords contains rank, top, bottom, getting to a visual visualization that then can be pinned to an existing pin board that might also contain insights generated by an AI engine. So it's easy enough for that new decision maker, the business user, the non-analyst to create themselves. Modernizing the data and analytics portfolio is hard because the pace of change has accelerated. You used to be able to create an investment, place a bet for maybe 10 years. A few years ago, that time horizon was five years. Now, it's maybe three years and the time to maturity has also accelerated. So you have these different components, the search and AI tier, the data science tier, data preparation and virtualization but I would also say, equally important is the cloud data warehouse. And pay attention to how well these analytics tools can unlock the value in these cloud data warehouses. So ThoughtSpot was the first to market with search and AI driven insights. Competitors have followed suit, but be careful, if you look at products like Power BI or SAP analytics cloud, they might demo well, but do they let you get to all the data without moving it in products like Snowflake, Amazon Redshift, or Azure Synapse, or Google BigQuery, they do not. They require you to move it into a smaller in-memory engine. So it's important how well these new products inter-operate. The pace of change, its acceleration, Gartner recently predicted that by 2022, 65% of analytical queries will be generated using search or NLP or even AI and that is roughly three times the prediction they had just a couple of years ago. So let's talk about the real world impact of culture and if you've read any of my books or used any of the maturity models out there, whether the Gartner IT Score that I worked on or the Data Warehousing Institute also has a maturity model. We talk about these five pillars to really become data-driven. As Michelle spoke about, it's focusing on the business outcomes, leveraging all the data, including new data sources, it's the talent, the people, the technology and also the processes. And often when I would talk about the people in the talent, I would lump the culture as part of that. But in the last year, as I've traveled the world and done these digital events for thought leaders. You have told me now culture is absolutely so important, and so we've pulled it out as a separate pillar. And in fact, in polls that we've done in these events, look at how much more important culture is as a barrier to becoming data-driven. It's three times as important as any of these other pillars. That's how critical it is. And let's take an example of where you can have great data, but if you don't have the right culture, there's devastating impacts. And I will say I have been a loyal customer of Wells Fargo for more than 20 years, but look at what happened in the face of negative news with data. It said, "Hey, we're not doing good cross-selling, customers do not have both a checking account and a credit card and a savings account and a mortgage." They opened fake accounts facing billions in fines, change in leadership that even the CEO attributed to a toxic sales culture and they're trying to fix this, but even recently there's been additional employee backlash saying the culture has not changed. Let's contrast that with some positive examples. Medtronic, a worldwide company in 150 countries around the world. They may not be a household name to you, but if you have a loved one or yourself, you have a pacemaker, spinal implant, diabetes, you know this brand. And at the start of COVID when they knew their business would be slowing down, because hospitals would only be able to take care of COVID patients. They took the bold move of making their IP for ventilators publicly available. That is the power of a positive culture. Or Verizon, a major telecom organization looking at late payments of their customers and even though the U.S. Federal Government said, "Well, you can't turn them off." They said, "We'll extend that even beyond the mandated guidelines," and facing a slow down in the business because of the tough economy, They said, "You know what? We will spend the time upskilling our people, giving them the time to learn more about the future of work, the skills and data and analytics for 20,000 of their employees rather than furloughing them. That is the power of a positive culture. So how can you transform your culture to the best in class? I'll give you three suggestions. Bring in a change agent, identify the relevance or I like to call it WIIFM and organize for collaboration. So the CDO, whatever your title is, Chief Analytics Officer, Chief Digital Officer, you are the most important change agent. And this is where you will hear that oftentimes a change agent has to come from outside the organization. So this is where, for example, in Europe you have the CDO of Just Eat, a takeout food delivery organization coming from the airline industry or in Australia, National Australian Bank taking a CDO within the same sector from TD Bank going to NAB. So these change agents come in, disrupt. It's a hard job. As one of you said to me, it often feels like. I make one step forward and I get knocked down again, I get pushed back. It is not for the faint of heart, but it's the most important part of your job. The other thing I'll talk about is WIIFM What's In It For Me? And this is really about understanding the motivation, the relevance that data has for everyone on the frontline, as well as those analysts, as well as the executives. So, if we're talking about players in the NFL, they want to perform better and they want to stay safe. That is why data matters to them. If we're talking about financial services, this may be a wealth management advisor. Okay, we could say commissions, but it's really helping people have their dreams come true, whether it's putting their children through college or being able to retire without having to work multiple jobs still into your 70s or 80s. For the teachers, teachers you ask them about data. They'll say, "We don't need that, I care about the student." So if you can use data to help a student perform better, that is WIIFM and sometimes we spend so much time talking the technology, we forget, what is the value we're trying to deliver with this? And we forget the impact on the people that it does require change. In fact, the Harvard Business Review study found that 44% said lack of change management is the biggest barrier to leveraging both new technology, but also being empowered to act on those data-driven insights. The third point, organize for collaboration. This does require diversity of thought, but also bringing the technology, the data and the business people together. Now there's not a single one size fits all model for data and analytics. At one point in time, even having a BICC, a BI competency center was considered state of the art. Now for the biggest impact, what I recommend is that you have a federated model centralized for economies of scale. That could be the common data, but then embed these evangelists, these analysts of the future within every business unit, every functional domain. And as you see this top bar, all models are possible, but the hybrid model has the most impact, the most leaders. So as we look ahead to the months ahead, to the year ahead, an exciting time because data is helping organizations better navigate a tough economy, lock in the customer loyalty and I look forward to seeing how you foster that culture that's collaborative with empathy and bring the best of technology, leveraging the cloud, all your data. So thank you for joining us at Thought Leaders. And next, I'm pleased to introduce our first change agent, Tom Mazzaferro Chief Data Officer of Western Union and before joining Western Union, Tom made his Mark at HSBC and JP Morgan Chase spearheading digital innovation in technology, operations, risk compliance and retail banking. Tom, thank you so much for joining us today. (gentle music) >> Very happy to be here and looking forward to talking to all of you today. So as we look to move organizations to a data-driven capability into the future, there is a lot that needs to be done on the data side, but also how does data connect and enable different business teams and the technology teams into the future? As we look across our data ecosystems and our platforms, and how we modernize that to the cloud in the future, it all needs to basically work together, right? To really be able to drive an organization from a data standpoint, into the future. That includes being able to have the right information with the right quality of data, at the right time to drive informed business decisions, to drive the business forward. As part of that, we actually have partnered with ThoughtSpot to actually bring in the technology to help us drive that. As part of that partnership and it's how we've looked to integrate it into our overall business as a whole. We've looked at, how do we make sure that our business and our professional lives, right? Are enabled in the same ways as our personal lives. So for example, in your personal lives, when you want to go and find something out, what do you do? You go onto google.com or you go onto Bing or you go onto Yahoo and you search for what you want, search to find an answer. ThoughtSpot for us is the same thing, but in the business world. So using ThoughtSpot and other AI capability is it's allowed us to actually enable our overall business teams in our company to actually have our information at our fingertips. So rather than having to go and talk to someone, or an engineer to go pull information or pull data. We actually can have the end users or the business executives, right. Search for what they need, what they want, at the exact time that they actually need it, to go and drive the business forward. This is truly one of those transformational things that we've put in place. On top of that, we are on a journey to modernize our larger ecosystem as a whole. That includes modernizing our underlying data warehouses, our technology, our... The local environments and as we move that, we've actually picked two of our cloud providers going to AWS and to GCP. We've also adopted Snowflake to really drive and to organize our information and our data, then drive these new solutions and capabilities forward. So a big portion of it though is culture. So how do we engage with the business teams and bring the IT teams together, to really help to drive these holistic end-to-end solutions and capabilities, to really support the actual business into the future. That's one of the keys here, as we look to modernize and to really enhance our organizations to become data-driven. This is the key. If you can really start to provide answers to business questions before they're even being asked and to predict based upon different economic trends or different trends in your business, what decisions need to be made and actually provide those answers to the business teams before they're even asking for it. That is really becoming a data-driven organization and as part of that, it really then enables the business to act quickly and take advantage of opportunities as they come in based upon industries, based upon markets, based upon products, solutions or partnerships into the future. These are really some of the keys that become crucial as you move forward, right, into this new age, Especially with COVID. With COVID now taking place across the world, right? Many of these markets, many of these digital transformations are celebrating and are changing rapidly to accommodate and to support customers in these very difficult times. As part of that, you need to make sure you have the right underlying foundation, ecosystems and solutions to really drive those capabilities and those solutions forward. As we go through this journey, both in my career but also each of your careers into the future, right? It also needs to evolve, right? Technology has changed so drastically in the last 10 years, and that change is only accelerating. So as part of that, you have to make sure that you stay up to speed, up to date with new technology changes, both on the platform standpoint, tools, but also what do our customers want, what do our customers need and how do we then service them with our information, with our data, with our platform, and with our products and our services to meet those needs and to really support and service those customers into the future. This is all around becoming a more data-driven organization, such as how do you use your data to support your current business lines, but how do you actually use your information and your data to actually better support your customers, better support your business, better support your employees, your operations teams and so forth. And really creating that full integration in that ecosystem is really when you start to get large dividends from these investments into the future. With that being said, I hope you enjoyed the segment on how to become and how to drive a data-driven organization, and looking forward to talking to you again soon. Thank you. >> Tom, that was great. Thanks so much and now going to have to drag on you for a second. As a change agent you've come in, disrupted and how long have you been at Western Union? >> Only nine months, so just started this year, but there have been some great opportunities to integrate changes and we have a lot more to go, but we're really driving things forward in partnership with our business teams and our colleagues to support those customers going forward. >> Tom, thank you so much. That was wonderful. And now, I'm excited to introduce you to Gustavo Canton, a change agent that I've had the pleasure of working with meeting in Europe and he is a serial change agent. Most recently with Schneider Electric but even going back to Sam's Clubs. Gustavo, welcome. (gentle music) >> So, hey everyone, my name is Gustavo Canton and thank you so much, Cindi, for the intro. As you mentioned, doing transformations is, you know, a high reward situation. I have been part of many transformations and I have led many transformations. And, what I can tell you is that it's really hard to predict the future, but if you have a North Star and you know where you're going, the one thing that I want you to take away from this discussion today is that you need to be bold to evolve. And so, in today, I'm going to be talking about culture and data, and I'm going to break this down in four areas. How do we get started, barriers or opportunities as I see it, the value of AI and also, how you communicate. Especially now in the workforce of today with so many different generations, you need to make sure that you are communicating in ways that are non-traditional sometimes. And so, how do we get started? So, I think the answer to that is you have to start for you yourself as a leader and stay tuned. And by that, I mean, you need to understand, not only what is happening in your function or your field, but you have to be very in tune what is happening in society socioeconomically speaking, wellbeing. You know, the common example is a great example and for me personally, it's an opportunity because the number one core value that I have is wellbeing. I believe that for human potential for customers and communities to grow, wellbeing should be at the center of every decision. And as somebody mentioned, it's great to be, you know, stay in tune and have the skillset and the courage. But for me personally, to be honest, to have this courage is not about not being afraid. You're always afraid when you're making big changes and you're swimming upstream, but what gives me the courage is the empathy part. Like I think empathy is a huge component because every time I go into an organization or a function, I try to listen very attentively to the needs of the business and what the leaders are trying to do. But I do it thinking about the mission of, how do I make change for the bigger workforce or the bigger good despite the fact that this might have perhaps implication for my own self interest in my career. Right? Because you have to have that courage sometimes to make choices that are not well seen, politically speaking, but are the right thing to do and you have to push through it. So the bottom line for me is that, I don't think we're they're transforming fast enough. And the reality is, I speak with a lot of leaders and we have seen stories in the past and what they show is that, if you look at the four main barriers that are basically keeping us behind budget, inability to act, cultural issues, politics and lack of alignment, those are the top four. But the interesting thing is that as Cindi has mentioned, these topic about culture is actually gaining more and more traction. And in 2018, there was a story from HBR and it was about 45%. I believe today, it's about 55%, 60% of respondents say that this is the main area that we need to focus on. So again, for all those leaders and all the executives who understand and are aware that we need to transform, commit to the transformation and set a deadline to say, "Hey, in two years we're going to make this happen. What do we need to do, to empower and enable these change agents to make it happen? You need to make the tough choices. And so to me, when I speak about being bold is about making the right choices now. So, I'll give you examples of some of the roadblocks that I went through as I've been doing transformations, most recently, as Cindi mentioned in Schneider. There are three main areas, legacy mindset and what that means is that, we've been doing this in a specific way for a long time and here is how we have been successful. What worked in the past is not going to work now. The opportunity there is that there is a lot of leaders, who have a digital mindset and they're up and coming leaders that are perhaps not yet fully developed. We need to mentor those leaders and take bets on some of these talents, including young talent. We cannot be thinking in the past and just wait for people, you know, three to five years for them to develop because the world is going in a way that is super-fast. The second area and this is specifically to implementation of AI. It's very interesting to me because just the example that I have with ThoughtSpot, right? We went on implementation and a lot of the way the IT team functions or the leaders look at technology, they look at it from the prism of the prior or success criteria for the traditional BIs, and that's not going to work. Again, the opportunity here is that you need to redefine what success look like. In my case, I want the user experience of our workforce to be the same user experience you have at home. It's a very simple concept and so we need to think about, how do we gain that user experience with these augmented analytics tools and then work backwards to have the right talent, processes, and technology to enable that. And finally and obviously with COVID, a lot of pressure in organizations and companies to do more with less. And the solution that most leaders I see are taking is to just minimize costs sometimes and cut budget. We have to do the opposite. We have to actually invest on growth areas, but do it by business question. Don't do it by function. If you actually invest in these kind of solutions, if you actually invest on developing your talent and your leadership to see more digitally, if you actually invest on fixing your data platform, it's not just an incremental cost. It's actually this investment is going to offset all those hidden costs and inefficiencies that you have on your system, because people are doing a lot of work and working very hard but it's not efficient and it's not working in the way that you might want to work. So there is a lot of opportunity there and just to put in terms of perspective, there have been some studies in the past about, you know, how do we kind of measure the impact of data? And obviously, this is going to vary by organization maturity, there's going to be a lot of factors. I've been in companies who have very clean, good data to work with and I've been with companies that we have to start basically from scratch. So it all depends on your maturity level. But in this study, what I think is interesting is they try to put a tagline or a tag price to what is the cost of incomplete data. So in this case, it's about 10 times as much to complete a unit of work when you have data that is flawed as opposed to having perfect data. So let me put that just in perspective, just as an example, right? Imagine you are trying to do something and you have to do 100 things in a project, and each time you do something, it's going to cost you a dollar. So if you have perfect data, the total cost of that project might be $100. But now let's say you have 80% perfect data and 20% flawed data. By using this assumption that flawed data is 10 times as costly as perfect data, your total costs now becomes $280 as opposed to $100. This just for you to really think about as a CIO, CTO, you know CHRO, CEO, "Are we really paying attention and really closing the gaps that we have on our data infrastructure?" If we don't do that, it's hard sometimes to see the snowball effect or to measure the overall impact, but as you can tell, the price tag goes up very, very quickly. So now, if I were to say, how do I communicate this or how do I break through some of these challenges or some of these barriers, right? I think the key is, I am in analytics, I know statistics obviously and love modeling, and, you know, data and optimization theory, and all that stuff. That's what I came to analytics, but now as a leader and as a change agent, I need to speak about value and in this case, for example, for Schneider. There was this tagline, make the most of your energy. So the number one thing that they were asking from the analytics team was actually efficiency, which to me was very interesting. But once I understood that, I understood what kind of language to use, how to connect it to the overall strategy and basically, how to bring in the right leaders because you need to, you know, focus on the leaders that you're going to make the most progress, you know. Again, low effort, high value. You need to make sure you centralize all the data as you can, you need to bring in some kind of augmented analytics, you know, solution. And finally, you need to make it super-simple for the, you know, in this case, I was working with the HR teams and other areas, so they can have access to one portal. They don't have to be confused and looking for 10 different places to find information. I think if you can actually have those four foundational pillars, obviously under the guise of having a data-driven culture, that's when you can actually make the impact. So in our case, it was about three years total transformation, but it was two years for this component of augmented analytics. It took about two years to talk to, you know, IT, get leadership support, find the budgeting, you know, get everybody on board, make sure the success criteria was correct. And we call this initiative, the people analytics portal. It was actually launched in July of this year and we were very excited and the audience was very excited to do this. In this case, we did our pilot in North America for many, many, many factors but one thing that is really important is as you bring along your audience on this, you know. You're going from Excel, you know, in some cases or Tableu to other tools like, you know, ThoughtSpot. You need to really explain them what is the difference and how this tool can truly replace some of the spreadsheets or some of the views that you might have on these other kinds of tools. Again, Tableau, I think it's a really good tool. There are other many tools that you might have in your toolkit but in my case, personally, I feel that you need to have one portal. Going back to Cindi's points, that really truly enable the end user. And I feel that this is the right solution for us, right? And I will show you some of the findings that we had in the pilot in the last two months. So this was a huge victory and I will tell you why, because it took a lot of effort for us to get to this stage and like I said, it's been years for us to kind of lay the foundation, get the leadership, initiating culture so people can understand, why you truly need to invest on augmented analytics. And so, what I'm showing here is an example of how do we use basically, you know, a tool to capturing video, the qualitative findings that we had, plus the quantitative insights that we have. So in this case, our preliminary results based on our ambition for three main metrics. Hours saved, user experience and adoption. So for hours saved, our ambition was to have 10 hours per week for employee to save on average. User experience, our ambition was 4.5 and adoption 80%. In just two months, two months and a half of the pilot, we were able to achieve five hours per week per employee savings, a user experience for 4.3 out of five and adoption of 60%. Really, really amazing work. But again, it takes a lot of collaboration for us to get to the stage from IT, legal, communications, obviously the operations things and the users. In HR safety and other areas that might be basically stakeholders in this whole process. So just to summarize, this kind of effort takes a lot of energy. You are a change agent, you need to have courage to make this decision and understand that, I feel that in this day and age with all this disruption happening, we don't have a choice. We have to take the risk, right? And in this case, I feel a lot of satisfaction in how we were able to gain all these great resource for this organization and that give me the confident to know that the work has been done and we are now in a different stage for the organization. And so for me, it's just to say, thank you for everybody who has belief, obviously in our vision, everybody who has belief in, you know, the work that we were trying to do and to make the life of our, you know, workforce or customers and community better. As you can tell, there is a lot of effort, there is a lot of collaboration that is needed to do something like this. In the end, I feel very satisfied with the accomplishments of this transformation and I just want to tell for you, if you are going right now in a moment that you feel that you have to swim upstream, you know, work with mentors, work with people in the industry that can help you out and guide you on this kind of transformation. It's not easy to do, it's high effort, but it's well worth it. And with that said, I hope you are well and it's been a pleasure talking to you. Talk to you soon. Take care. >> Thank you, Gustavo. That was amazing. All right, let's go to the panel. (light music) Now I think we can all agree how valuable it is to hear from practitioners and I want to thank the panel for sharing their knowledge with the community. Now one common challenge that I heard you all talk about was bringing your leadership and your teams along on the journey with you. We talk about this all the time and it is critical to have support from the top. Why? Because it directs the middle and then it enables bottoms up innovation effects from the cultural transformation that you guys all talked about. It seems like another common theme we heard is that you all prioritize database decision making in your organizations. And you combine two of your most valuable assets to do that and create leverage, employees on the front lines, and of course the data. Now as as you rightly pointed out, Tom, the pandemic has accelerated the need for really leaning into this. You know, the old saying, if it ain't broke, don't fix it, well COVID has broken everything and it's great to hear from our experts, you know, how to move forward, so let's get right into it. So Gustavo, let's start with you. If I'm an aspiring change agent and let's say I'm a budding data leader, what do I need to start doing? What habits do I need to create for long-lasting success? >> I think curiosity is very important. You need to be, like I said, in tune to what is happening, not only in your specific field, like I have a passion for analytics, I've been doing it for 50 years plus, but I think you need to understand wellbeing of the areas across not only a specific business. As you know, I come from, you know, Sam's Club, Walmart retail. I've been in energy management, technology. So you have to try to push yourself and basically go out of your comfort zone. I mean, if you are staying in your comfort zone and you want to just continuous improvement, that's just going to take you so far. What you have to do is, and that's what I try to do, is I try to go into areas, businesses and transformations, that make me, you know, stretch and develop as a leader. That's what I'm looking to do, so I can help transform the functions, organizations, and do the change management, the essential mindset that's required for this kind of effort. >> Well, thank you for that. That is inspiring and Cindi you love data and the data is pretty clear that diversity is a good business, but I wonder if you can, you know, add your perspectives to this conversation? >> Yeah, so Michelle has a new fan here because she has found her voice. I'm still working on finding mine and it's interesting because I was raised by my dad, a single dad, so he did teach me how to work in a predominantly male environment, but why I think diversity matters more now than ever before and this is by gender, by race, by age, by just different ways of working and thinking, is because as we automate things with AI, if we do not have diverse teams looking at the data, and the models, and how they're applied, we risk having bias at scale. So this is why I think I don't care what type of minority you are, finding your voice, having a seat at the table and just believing in the impact of your work has never been more important and as Michelle said, more possible. >> Great perspectives, thank you. Tom, I want to go to you. So, I mean, I feel like everybody in our businesses is in some way, shape, or form become a COVID expert, but what's been the impact of the pandemic on your organization's digital transformation plans? >> We've seen a massive growth, actually, in our digital business over the last 12 months really, even acceleration, right, once COVID hit. We really saw that in the 200 countries and territories that we operate in today and service our customers in today, that there's been a huge need, right, to send money to support family, to support friends, and to support loved ones across the world. And as part of that we are very honored to be able to support those customers that, across all the centers today, but as part of the acceleration, we need to make sure that we have the right architecture and the right platforms to basically scale, right? To basically support and provide the right kind of security for our customers going forward. So as part of that, we did do some pivots and we did accelerate some of our plans on digital to help support that overall growth coming in and to support our customers going forward, because during these times, during this pandemic, right, this is the most important time and we need to support those that we love and those that we care about. And doing that some of those ways is actually by sending money to them, support them financially. And that's where really our products and our services come into play that, you know, and really support those families. So, it was really a great opportunity for us to really support and really bring some of our products to the next level and supporting our business going forward. >> Awesome, thank you. Now, I want to come back to Gustavo. Tom, I'd love for you to chime in too. Did you guys ever think like you were pushing the envelope too much in doing things with data or the technology that it was just maybe too bold, maybe you felt like at some point it was failing, or you're pushing your people too hard? Can you share that experience and how you got through it? >> Yeah, the way I look at it is, you know, again, whenever I go to an organization, I ask the question, "Hey, how fast you would like to conform?" And, you know, based on the agreements on the leadership and the vision that we want to take place, I take decisions and I collaborate in a specific way. Now, in the case of COVID, for example, right, it forces us to remove silos and collaborate in a faster way. So to me, it was an opportunity to actually integrate with other areas and drive decisions faster, but make no mistake about it, when you are doing a transformation, you are obviously trying to do things faster than sometimes people are comfortable doing, and you need to be okay with that. Sometimes you need to be okay with tension or you need to be okay, you know, debating points or making repetitive business cases until people connect with the decision because you understand and you are seeing that, "Hey, the CEO is making a one, two year, you know, efficiency goal. The only way for us to really do more with less is for us to continue this path. We can not just stay with the status quo, we need to find a way to accelerate the transformation." That's the way I see it. >> How about Utah, we were talking earlier with Sudheesh and Cindi about that bungee jumping moment. What can you share? >> Yeah, you know, I think you hit upon it. Right now, the pace of change will be the slowest pace that you see for the rest of your career. So as part of that, right, this is what I tell my team, is that you need to be, you need to feel comfortable being uncomfortable. Meaning that we have to be able to basically scale, right? Expand and support the ever changing needs in the marketplace and industry and our customers today, and that pace of change that's happening, right? And what customers are asking for and the competition in the marketplace, it's only going to accelerate. So as part of that, you know, as you look at how you're operating today in your current business model, right? Things are only going to get faster. So you have to plan and to align and to drive the actual transformation, so that you can scale even faster into the future. So it's part of that, that's what we're putting in place here, right? It's how do we create that underlying framework and foundation that allows the organization to basically continue to scale and evolve into the future? >> Yeah, we're definitely out of our comfort zones, but we're getting comfortable with it. So Cindi, last question, you've worked with hundreds of organizations and I got to believe that, you know, some of the advice you gave when you were at Gartner, which was pre-COVID, maybe sometimes clients didn't always act on it. You know, not my watch or for whatever, variety of reasons, but it's being forced on them now. But knowing what you know now that, you know, we're all in this isolation economy, how would you say that advice has changed? Has it changed? What's your number one action and recommendation today? >> Yeah, well first off, Tom, just freaked me out. What do you mean, this is the slowest ever? Even six months ago I was saying the pace of change in data and analytics is frenetic. So, but I think you're right, Tom, the business and the technology together is forcing this change. Now, Dave, to answer your question, I would say the one bit of advice, maybe I was a little more very aware of the power in politics and how to bring people along in a way that they are comfortable and now I think it's, you know what, you can't get comfortable. In fact, we know that the organizations that were already in the cloud have been able to respond and pivot faster. So, if you really want to survive, as Tom and Gustavo said, get used to being uncomfortable. The power and politics are going to happen, break the rules, get used to that and be bold. Do not be afraid to tell somebody they're wrong and they're not moving fast enough. I do think you have to do that with empathy, as Michelle said and Gustavo, I think that's one of the key words today besides the bungee jumping. So I want to know where Sudheesh is going to go bungee jumping. (all chuckling) >> Guys, fantastic discussion, really. Thanks again to all the panelists and the guests, it was really a pleasure speaking with you today. Really, virtually all of the leaders that I've spoken to in theCUBE program recently, they tell me that the pandemic is accelerating so many things. Whether it's new ways to work, we heard about new security models and obviously the need for cloud. I mean, all of these things are driving true enterprise-wide digital transformation, not just as I said before, lip service. You know, sometimes we minimize the importance and the challenge of building culture and in making this transformation possible. But when it's done right, the right culture is going to deliver tournament results. You know, what does that mean? Getting it right. Everybody's trying to get it right. My biggest takeaway today is it means making data part of the DNA of your organization. And that means making it accessible to the people in your organization that are empowered to make decisions, decisions that can drive new revenue, cut costs, speed access to critical care, whatever the mission is of your organization, data can create insights and informed decisions that drive value. Okay, let's bring back Sudheesh and wrap things up. Sudheesh, please bring us home. >> Thank you, thank you, Dave. Thank you, theCUBE team, and thanks goes to all of our customers and partners who joined us, and thanks to all of you for spending the time with us. I want to do three quick things and then close it off. The first thing is I want to summarize the key takeaways that I heard from all four of our distinguished speakers. First, Michelle, I will simply put it, she said it really well. That is be brave and drive, don't go for a drive alone. That is such an important point. Often times, you know the right thing that you have to do to make the positive change that you want to see happen, but you wait for someone else to do it, not just, why not you? Why don't you be the one making that change happen? That's the thing that I picked up from Michelle's talk. Cindi talked about finding, the importance of finding your voice. Taking that chair, whether it's available or not, and making sure that your ideas, your voice is heard and if it requires some force, then apply that force. Make sure your ideas are heard. Gustavo talked about the importance of building consensus, not going at things all alone sometimes. The importance of building the quorum, and that is critical because if you want the changes to last, you want to make sure that the organization is fully behind it. Tom, instead of a single takeaway, what I was inspired by is the fact that a company that is 170 years old, 170 years old, 200 companies and 200 countries they're operating in and they were able to make the change that is necessary through this difficult time in a matter of months. If they could do it, anyone could. The second thing I want to do is to leave you with a takeaway, that is I would like you to go to ThoughtSpot.com/nfl because our team has made an app for NFL on Snowflake. I think you will find this interesting now that you are inspired and excited because of Michelle's talk. And the last thing is, please go to ThoughtSpot.com/beyond. Our global user conference is happening in this December. We would love to have you join us, it's, again, virtual, you can join from anywhere. We are expecting anywhere from five to 10,000 people and we would love to have you join and see what we've been up to since last year. We have a lot of amazing things in store for you, our customers, our partners, our collaborators, they will be coming and sharing. We'll be sharing things that we have been working to release, something that will come out next year. And also some of the crazy ideas our engineers have been cooking up. All of those things will be available for you at ThoughtSpot Beyond. Thank you, thank you so much.

>> Narrator: From around the globe, it's theCube. With digital coverage of AnsibleFest 2020. Brought to you by Red Hat. (twinkly music) >> Hey, welcome back, everybody. Jeff Frick here with theCube. Welcome back to our continuous coverage of AnsibleFest 2020. We're not in-person this year, as everybody knows, but we're back covering the event. We're excited to be here, and really our next guest... We've had him on a lot of times. He's super insightful. Coming right off the keynote, diving into some really interesting topics that we're excited to get into, and it's Chris Wright. He's the chief technology officer of Red Hat. Chris, great to see you. >> Hey, great to see you. Thanks for having me on. >> Absolutely. So let's jump into it. I mean, you covered so many topics in your keynote. The first one though, that just jumps off the page, right, is automation, and really rethinking automation. And I remember talking to a product manager at a hyperscaler many moons ago, and he talked about the process of them mapping out their growth and trying to figure out how they were going to support it in their own data center. And he just basically figured out we cannot do this at scale without automation. So I think the hyperscalers have been doing it, but really it's kind of a new approach for enterprises to incorporate new, and more, automation into what they do every day. >> It's a fundamental part of scaling, and I think we've learned over time that, one, we need programming interfaces on everything. So that's a critical part of beginning of the automation journey, so now you have a programmatic way to interact with all the things out there. But the other piece is just creating, really, confidence in knowing that when you're automating and you're taking tasks away from humans, which are actually error-prone, and typing on a keyboard is not always the greatest way to get things done, the confidence that those automation scripts, or playbooks, are going to do the right things at the right time. And so creating, really, a business and a mindset around infusing automation into everything you do is a pretty big journey for the enterprise. >> Right. And that's one of the topics you talked about as well, and it comes up all the time with digital transformation or software development; this kind of shift the focus from kind of it's a destination to it's a journey. And you talked very specifically that you need to think about automation as a journey, and as a process, and even a language, and really bake it into as many processes as you possibly can. I'm sure that shocks a lot of people and probably scares them, but really that's the only way to achieve the types of scales that we're seeing out there. >> Well, I think so. And part of what I was trying to highlight is the notion that a business is filled with people with domain expertise. So everybody brings something to the table. You're a business analyst. You understand the business part of what you're providing. You're the technologist. You really understand the technology. There's a partner ecosystem coming in with a critical parts of the technology stack. When you want to bring this all together, you need to have a common way to communicate. What I was really trying to point out is a language for communication across all those different cross-functional parts of your business is critical, number one, and number two, that language can actually be an automation language. And so choosing that language wisely... Obviously, we're talking at AnsibleFest, so we're going to be talking a lot about Ansible in this context. Choosing that language wisely is part of how you build the end-to-end sort of internalized view of what automation means to your business. >> Right. I mean, I wrote down a bunch of quotes that you talked about. "Ansible is the language of automation, and automation should be a primary communication language." Again, very different kind of language that we don't hear. And that it's "more than a tool, but a process, a constant process, and should be an embedded component of any organization." So I mean, you're really talking about automation as a first class citizen, not kind of this last thing for the most advanced, or potentially last thing for the most simple things where we can apply this process, but really needs to be a fundamental core of the way you think about everything that you do. Really a very different way to think about things, and probably really appropriate as we come out of 2020 in this kind of new world where everyone liked distributed teams. Well, now you have distributed teams, and so the forcing function on better tooling that's really wrapped in better culture has never been greater than we're seeing today. >> I completely agree with that. That domain expertise I think we understand well in certain areas. So for example, application developers, they rely on one another. So you're, maybe as an application developer, consuming a service from somebody else in your microservices architecture, and so you're dependent on that other engineering team's domain expertise. Maybe that's even the database service, and you're not a database, a DBA, or an engineer that really builds schemas for databases. We kind of get that notion of encapsulating domain expertise in the building and delivering of applications. That notion, the CI/CD pipeline, which itself is automating how you build and deliver applications, that notion of encapsulating domain expertise across a series of different functions in your business can go much broader than just building and delivering the application. It's running your business. And that's where it becomes fundamental. It becomes a process that's the journey. Not the end state. And it's not the destination. It's the journey that matters. And I've seen some really interesting ways that people actually work on this and try to approach it from the "how do you change your mindset?" Here's one example that I thought was really unique. I was speaking with a customer who quite literally automated their existing process, and what they did was automate everything from generating the emails to the PDFs, which would then be shared as basically printed out documents for how they walked through business change when they're making a change in their product. And the reason they did that was not because that was the most efficient model at all. It was that was the way they could get the teams comfortable with automation. If it produced the same artifacts that they were already used to, then it created confidence, and then they could sort of evolve the model to streamline it, because printing out a piece of paper to review, it is not going to be the efficient way to make changes in your business. >> Well, just to follow up on that, right, cause I think what probably scares a lot of people about automation... One is exception handling, right? And can you get all the edge cases in the use case. So in the one you just talked about, how do they deal with that? And then I think the other one is just simply control. Do I feel confident enough that I can get the automation to a place that I'm comfortable to hand over control? And I'm just curious, in that case you just outlined, how do they deal with kind of those two factors? >> Well, they always enabled a human checkpoint. Especially in the beginning. So it was sort of "trust but verify" that model, and over time you can look at the things that you really understand well and start with those, and the things that have more kind of gray zones, where the exceptions may be the rule, or may be the critical part of the decision making process, those can be sort of flagged as "needs real kind of human intervention," and that's a way to sort of evolve, and iterate, and not start off with the notion that everything has to be automated. You can do it piecemeal and grow over time, and you'll build confidence, and you'll understand where... How to flag those exceptions, where you actually need to change your process itself, because you may have bottlenecks that don't really make sense for the business anymore, and where you can incorporate the exception handling into the automation, essentially. >> Right. That's great. Thank you for sharing that example. I want to shift gears a little bit, cause another big topic that you covered in your keynote that we talk about all the time on theCube is edge, right? So everybody knows what a data center is. Everybody knows what a public cloud is. Lots of conversations around hybrid cloud and multi cloud, et cetera, et cetera, et cetera... But this new thing is edge, and I think people talk about edge in kind of an esoteric way, but I think you just nailed it. I mean, you just nailed it. It's very simply moving the compute to where the data is collected and/or consumed. I thought that was super elegant, but what you didn't get into on all the complexity is what that means, right? I mean, data centers are pristine environments that... They're very, very controlled. The environment's controlled. The network is controlled. The security is controlled, and you have the vision of an edge device. And the one everyone always likes to use is say like a wind farm, right? Those things are out in crazy harsh conditions, and then there's still this balancing act as to what information does get stored, and processed, and used, and then what does have to go back to the data center, because it's not a substitute for the data center. It's really an extension of the data center, or maybe the data center is actually an extension of the edge. Maybe that's a better way to think of it, but we've had all these devices out there. Now, suddenly we're connecting them and bringing them into a network and adding control. And I just thought the edge represents such a big shift in the way we're going to see compute change. Probably as fundamental, I would imagine, as the cloud shift has been. >> I believe it is. I absolutely believe it's as big a change in the industry as the cloud has been. The cloud really created scale. It created automation, programmatic interfaces to infrastructure and higher level services. But it also was built around a premise of centralization. I mean, clouds themselves are distributed, and so you can create availability zones and resilient applications, but there's still a sense of centralization. Edge is really embracing the notion that data production is kind of only up and to the right, and the way to scale, processing that data, and turning that data into insights and information that's valuable for a business, is to bring compute closer to data. It's not really a new concept, but the scale at which it's happening is what's really changing how we think about building infrastructure and building the support behind all that processing. And it's that scale that requires automation, because you're just not going to be able to manage thousands, or tens of thousands, or in certain scenarios even millions of devices, without putting automation at the forefront. It's critical. >> Right. And we can't talk about edge without talking about 5G, and I laugh every time I'm watching football on Sundays and they have the 5G commercials on talking about my handset, that I can order my food to get delivered faster at my house, completely missing the point, right? 5G's about machine-to-machine communication, and the scale, and the speed, and the volume of machine-to-machine is so fundamentally different than humans talking voice-to-voice. And that's really this big driver to instrument, as you said, all these machines, all these devices. There's been sensors on them forever, but now the ability to actually connect them, and pull them into this network, and start to use the data, and control the machines is a huge shift in the way things are going to happen going forward. >> Well, it's a couple of things that are important in there. Number one, that data production, and sensors, and bringing compute closer to data, what that represents is bringing the digital world and the physical world closer together. We'll experience that at a personal level with how we communicate. We're already distributed in today's environment, and the ways we can augment our human connections through a digital medium are really going to be important to how we maintain our human connections. And then on the enterprise side, we're building this infrastructure in 5G that when you think about it from a consumer point of view and ordering your pizza faster, it really isn't the right way to think about it. Couple of key characteristics of 5G: greater bandwidth, so you can just push more packets through the network; lower latency, so you're closer to the data; and higher connection density and more reliable connections, and that kind of combination of characteristics make it really valuable for enterprise businesses. You can bring your data and compute close together. You have these highly reliable and dense connections that allow for device proliferation, and that's the piece that's really changing where the world's going. I like to think of it in a really simple way, which is 4G, and the cloud, and the smartphone created a world that today we take for granted. 10 years ago, we really couldn't imagine what it looked like. >> 5G- >> Jeff: Like tomorrow... Excuse me. >> Device proliferation, and edge computing today is building the footprint for what we can't really imagine what we will be taking for granted in 10 years from now. So we're at this great kind of change in inflection point in the industry. >> Yeah. I have to always take a moment to call out a Amara's law. I think it's the most underappreciated law. It's been stolen by other people and repackaged many ways, but it's basically we overestimate the impact of these things in the short term, and we way, way, way, way kind of underestimate the impact in the longterm. And I think your story in they keynote about once you had digital phones and smartphones, we don't even think twice about looking at a map, and where are we, and where's a store close by, and are they open, and is there a review? I mean, the infrastructure to put that together, kind of an API-based economy, which is pulling together all these bits and pieces... (scoffs) The stupid rely... Expectation, right, of performance, and how fast that information's going to be delivered to me. I think we so take it for granted. As you say, I think it's like magic, and we never thought of all the different applications of these interconnected apps enabled by an always-on device that's always connected and knows where we are. It is a huge change, and as you say that when we think about 5G... (chuckling) 10 years from now. Oh, my goodness. Where are we going to be? >> It's hard to imagine? I mean, it really is hard to imagine, and I think that's okay. And what we're doing today is introducing everything that we need to help businesses evolve. Take advantage of that. And that scale of the edge is... It's a fundamental characteristic of the edge, and so automating to manage that scale is the only way you're going to be successful, and extending what we've learned in the data center out to the edge using the same tools, the things we already understand, really is a great way to evolve a business. And that's where that common language and the discussions that I was trying to generate around Ansible as a great tool. But it's not just the tool, it's the whole process, the mindset, the culture change, the way you change how you operate your business that's going to allow us to take advantage of the future where my clothes are full of sensors and you can look through a video camera and tell immediately that I'm happy with this conversation. That's a very different kind of augmented reality than we have today. Maybe it's a bad example, but it's hard to imagine really what it'll be like. >> So Chris, I just want to close on a slight shift, right? We've been talking a lot about technology, but you talk about culture all the time, and really, it's about the people. And I think a number of times in the keynote you reinforced this is about people and culture. And I just had I'm InaMarie Johnson on, the chief diversity officer from Zendesk. And she said culture eats strategy for breakfast. Great line. So I wondered if you can talk about the culture, because it's very different and you've seen it in opensource from Red Hat for a long time, really, a shift in culture around opensource, the shift in culture around devops, and continuous delivery, and "change is a good thing, not a bad thing," and we want to be able to change our code frequently and push out new features. So again, as you think of automation and culture, what kind of comes to mind, and what should people be thinking about when they think about the people and less about the technology? >> Well, there's a couple of things. I'll reinforce what we already touched on, which is the notion of creating confidence in the automation. There's an element of trust associated with that, and that's more maybe trusting the technology. So when you're automating something, you've already got a process. You already understand how something works. It's turning that something into an automated script, or playbook in the Ansible context, and trusting that it's going to do the right thing. There's another important part of trust, which is getting more to the people part, and I've learned this a lot from opensource communities. Collaboration and communities are fundamentally built around trust, and human trust relationships, and the change in process, trusting not only that the tools are going to do the right job, but the people are really... Assuming good intent, and working with they're trying to build for the right outcomes for your business, I think that's a really important part of the overall picture. And then finally, that trust is extended to knowing that that change for the business isn't going to compromise your job, right? So thinking differently about what is your job. Is your job to do the repetitive task, or is your job to free up your time from that repetitive task to think more creatively about value you can bring to the business? That's where I think it's really challenging for organizations to make changes because you build a personal identity around the jobs that you do, and making changes to those personal identities really gets to the core of who you are as a person. That's why I think it's so complicated. The tools almost are the easy part. It's the process changes and the cultural changes, the mindset changes behind that which is difficult, but more powerful in the end. >> Yeah. Yeah. Well, I think people, process, tools... The tech is always the easy part relative to culture, and people, and changing the way people do things, and as you said, who their identity is, how they get kind of wrapped into what they do, and what they think their value is, and who they are. So to free them up from that, that's a really important point. Well, Chris, I always love having you on. Thank you for coming on again, sharing your insight. Great keynote, and give me the last word about AnsibleFest 2020. What are you looking forward to take away from this little show? >> Well, number one, my personal hope is that the conversation that I was trying to sort of ignite through the keynote is an opportunity for the community to see where Ansible fits in the edge and automation, and helping, really the industry at large, scale. And that key part of bringing a common language to help change how we communicate internally is the message I was hoping to impart on the AnsibleFest community, and so hopefully we can take that broader. Appreciate the time here to really amplify some of those messages. >> All right. Great. Well, thanks a lot, Chris, and have a great day. >> Thanks, Jeff. Thank you. >> All right. He's Chris. I'm Jeff. You're watching theCube, and our ongoing coverage of AnsibleFest 2020. Thanks for watching. We'll see you next time. (twinkly music)

>> Data is at the heart of transformation and the change every company needs to succeed, but it takes more than new technology. It's about teams, talent and cultural change. Empowering everyone on the front lines to make decisions all at the speed of digital. The transformation starts with you. It's time to lead the way it's time for Thought leaders. >> Welcome to "Thought Leaders" a digital event brought to you by ThoughtSpot. My name is Dave Vellante. The purpose of this day is to bring industry leaders and experts together to really try and understand the important issues around digital transformation. We have an amazing lineup of speakers and our goal is to provide you with some best practices that you can bring back and apply to your organization. Look, data is plentiful, but insights are not. ThoughtSpot is disrupting analytics by using search and machine intelligence to simplify data analysis and really empower anyone with fast access to relevant data. But in the last 150 days, we've had more questions than answers. Creating an organization that puts data and insights at their core requires not only modern technology, but leadership, a mindset and a culture that people often refer to as data-driven. What does that mean? How can we equip our teams with data and fast access to quality information that can turn insights into action. And today we're going to hear from experienced leaders who are transforming their organizations with data, insights and creating digital first cultures. But before we introduce our speakers, I'm joined today by two of my co-hosts from ThoughtSpot first chief data strategy officer at the ThoughtSpot is Cindi Howson. Cindi is an analytics and BI expert with 20 plus years experience and the author of "Successful Business Intelligence "Unlock the Value of BI & Big Data." Cindi was previously the lead analyst at Gartner for the data and analytics magic quadrant. And early last year, she joined ThoughtSpot to help CDOs and their teams understand how best to leverage analytics and AI for digital transformation. Cindi, great to see you welcome to the show. >> Thank you, Dave. Nice to join you virtually. >> Now our second cohost and friend of the cube is ThoughtSpot CEO Sudheesh Nair Hello, Sudheesh how are you doing today? >> I'm well Dave, it's good to talk to you again. >> It's great to see you thanks so much for being here. Now Sudheesh please share with us why this discussion is so important to your customers and of course, to our audience and what they're going to learn today. (upbeat music) >> Thanks, Dave. I wish you were there to introduce me into every room and that I walk into because you have such an amazing way of doing it. Makes me feel all so good. Look, since we have all been cooped up in our homes, I know that the vendors like us, we have amped up our sort of effort to reach out to you with invites for events like this. So we are getting very more invites for events like this than ever before. So when we started planning for this, we had three clear goals that we wanted to accomplish. And our first one that when you finish this and walk away, we want to make sure that you don't feel like it was a waste of time. We want to make sure that we value your time and this is going to be useful. Number two, we want to put you in touch with industry leaders and thought leaders, generally good people that you want to hang around with long after this event is over. And number three, as we plan through this, we are living through these difficult times. We want an event to be this event, to be more of an uplifting and inspiring event too. Now, the challenge is how do you do that with the team being change agents because change and as much as we romanticize it, it is not one of those uplifting things that everyone wants to do, or like to do. The way I think of it sort of like a, if you've ever done bungee jumping and it's like standing on the edges waiting to make that one more step, all you have to do is take that one step and gravity will do the rest, but that is the hardest step to take. Change requires a lot of courage. And when we are talking about data and analytics, which is already like such a hard topic, not necessarily an uplifting and positive conversation in most businesses, it is somewhat scary. Change becomes all the more difficult. Ultimately change requires courage. Courage to first of all challenge the status quo. People sometimes are afraid to challenge the status quo because they are thinking that maybe I don't have the power to make the change that the company needs. Sometimes they feel like I don't have the skills. Sometimes they may feel that I'm probably not the right person do it. Or sometimes the lack of courage manifest itself as the inability to sort of break the silos that are formed within the organizations, when it comes to data and insights that you talked about. There are people in the company who are going to hog the data because they know how to manage the data, how to inquire and extract. They know how to speak data. They have the skills to do that. But they are not the group of people who have sort of the knowledge, the experience of the business to ask the right questions off the data. So there is the silo of people with the answers, and there is a silo of people with the questions. And there is gap. This sort of silos are standing in the way of making that necessary change that we all know the business needs. And the last change to sort of bring an external force sometimes. It could be a tool. It could be a platform, it could be a person, it could be a process, but sometimes no matter how big the company is or how small the company is, you may need to bring some external stimuli to start the domino of the positive changes that are necessary. The group of people that we are brought in, the four people, including Cindi, that you will hear from today are really good at practically telling you how to make that step, how to step off that edge, how to dress the rope, that you will be safe and you're going to have fun. You will have that exhilarating feeling of jumping, for a bungee jump. All four of them are exceptional, but my honor is to introduce Michelle and she's our first speaker. Michelle, I am very happy after watching her presentation and reading our bio, that there are no country vital worldwide competition for cool patterns, because she will beat all of us because when her children were small, they were probably into Harry Potter and Disney. She was managing a business and leading change there. And then as her kids grew up and got to that age where they like football and NFL, guess what? She's the CIO of NFL. What a cool mom? I am extremely excited to see what she's going to talk about. I've seen the slides, tons of amazing pictures. I'm looking to see the context behind it. I'm very thrilled to make the acquaintance of Michelle and looking forward to her talk next. Welcome Michelle, it's over to you. (upbeat music) >> I'm delighted to be with you all today to talk about thought leadership. And I'm so excited that you asked me to join you because today I get to be a quarterback. I always wanted to be one. And I thought this is about as close as I'm ever going to get. So I want to talk to you about quarterbacking, our digital revolution using insights data. And of course, as you said, leadership, first a little bit about myself, a little background, as I said, I always wanted to play football. And this is something that I wanted to do since I was a child. But when I grew up, girls didn't get to play football. I'm so happy that that's changing and girls are now doing all kinds of things that they didn't get to do before. Just this past weekend on an NFL field, we had a female coach on two sidelines and a female official on the field. I'm a lifelong fan and student of the game of football. I grew up in the South. You can tell from the accent. And in the South football is like a religion and you pick sides. I chose Auburn university working in the athletic department. So I'm Testament to you can start the journey can be long. It took me many, many years to make it into professional sports. I graduated in 1987 and my little brother, well, not actually not so little. He played offensive line for the Alabama Crimson Tide. And for those of you who know SCC football, you know this is a really big rivalry. And when you choose sides, your family is divided. So it's kind of fun for me to always tell the story that my dad knew his kid would make it to the NFL. He just bet on the wrong one. My career has been about bringing people together for memorable moments at some of America's most iconic brands, delivering memories and amazing experiences that delight from Universal Studios, Disney to my current position as CIO of the NFL. In this job I'm very privileged to have the opportunity to work with the team that gets to bring America's game to millions of people around the world. Often I'm asked to talk about how to create amazing experiences for fans, guests, or customers. But today I really wanted to focus on something different and talk to you about being behind the scenes and backstage because behind every event, every game, every awesome moment is execution, precise, repeatable execution. And most of my career has been behind the scenes doing just that assembling teams to execute these plans. And the key way that companies operate at these exceptional levels is making good decisions, the right decisions at the right time and based upon data so that you can translate the data into intelligence and be a data-driven culture. Using data and intelligence is an important way that world-class companies do differentiate themselves. And it's the lifeblood of collaboration and innovation. Teams that are working on delivering these kinds of world casts experiences are often seeking out and leveraging next-generation technologies and finding new ways to work. I've been fortunate to work across three decades of emerging experiences, which each required emerging technologies to execute a little bit first about Disney in the 90s, I was at Disney leading a project called destination Disney, which it's a data project. It was a data project, but it was CRM before CRM was even cool. And then certainly before anything like a data-driven culture was ever brought up, but way back then we were creating a digital backbone that enabled many technologies for the things that you see today, like the magic band, Disney's magical express. My career at Disney began in finance, but Disney was very good about rotating you around. And it was during one of these rotations that I became very passionate about data. I kind of became a pain in the butt to the IT team asking for data more and more data. And I learned that all of that valuable data was locked up in our systems. All of our point of sales systems, our reservation systems, our operation systems. And so I became a shadow IT person in marketing, ultimately leading to moving into IT. And I haven't looked back since. In the early two thousands, I was at universal studios theme park as their CIO preparing for and launching "The Wizarding World of Harry Potter" bringing one of history's most memorable characters to life required many new technologies and a lot of data. Our data and technologies were embedded into the rides and attractions. I mean, how do you really think a wan selects you at a wan shop. As today at the NFL? I am constantly challenged to do leading edge technologies, using things like sensors, AI, machine learning, and all new communication strategies and using data to drive everything from player performance, contracts, to where we build new stadiums and hold events with this year being the most challenging yet rewarding year in my career at the NFL. In the middle of a global pandemic, the way we are executing on our season is leveraging data from contract tracing devices joined with testing data, talk about data, actually enabling your business without it w wouldn't be having a season right now. I'm also on the board of directors of two public companies where data and collaboration are paramount. First RingCentral, it's a cloud based unified communications platform and collaboration with video message and phone all in one solution in the cloud and Quotient technologies whose product is actually data. The tagline at Quotient is the result in knowing I think that's really important because not all of us are data companies where your product is actually data, but we should operate more like your product is data. I'd also like to talk to you about four areas of things to think about as thought leaders in your companies. First just hit on it is change how to be a champion and a driver of change. Second, how do you use data to drive performance for your company and measure performance of your company? Third, how companies now require intense collaboration to operate. And finally, how much of this is accomplished through solid data driven decisions. First let's hit on change. I mean, it's evident today more than ever, that we are in an environment of extreme change. I mean, we've all been at this for years and as technologists we've known it, believed it, lived it and thankfully for the most part, knock on what we were prepared for it. But this year everyone's cheese was moved. All the people in the back rooms, IT, data architects and others were suddenly called to the forefront because a global pandemic has turned out to be the thing that is driving intense change in how people work and analyze their business. On March 13th, we closed our office at the NFL in the middle of preparing for one of our biggest events, our kickoff event, the 2020 draft. We went from planning a large event in Las Vegas under the bright lights, red carpet stage to smaller events in club facilities. And then ultimately to one where everyone coaches GM's prospects and even our commissioner were at home in their basements. And we only had a few weeks to figure it out. I found myself for the first time being in the live broadcast event space, talking about bungee jumping. This is really what it felt like. It was one in which no one felt comfortable because it had not been done before. But leading through this, I stepped up, but it was very scary. It was certainly very risky, but it ended up being all so rewarding when we did it. And as a result of this, some things will change forever. Second, managing performance. I mean, data should inform how you're doing and how to get your company to perform at it's level. Highest level. As an example, the NFL has always measured performance, obviously, and it is one of the purest examples of how performance directly impacts outcome. I mean, you can see performance on the field. You can see points being scored in stats, and you immediately know that impact those with the best stats usually when the games. The NFL has always recorded stats since the beginning of time here at the NFL a little this year is our 101 year and athletes ultimate success as a player has also always been greatly impacted by his stats. But what has changed for us is both how much more we can measure and the immediacy with which it can be measured. And I'm sure in your business it's the same. The amount of data you must have has got to have quadrupled and how fast you need it and how quickly you need to analyze it is so important. And it's very important to break the silos between the keys, to the data and the use of the data. Our next generation stats platform is taking data to a next level. It's powered by Amazon web services. And we gathered this data real-time from sensors that are on players' bodies. We gather it in real time, analyze it, display it online and on broadcast. And of course it's used to prepare week to week in addition to what is a normal coaching plan would be. We can now analyze, visualize route patterns, speed match-ups, et cetera. So much faster than ever before. We're continuing to roll out sensors too that will gather more and more information about a player's performance as it relates to their health and safety. The third trend is really, I think it's a big part of what we're feeling today and that is intense collaboration. And just for sort of historical purposes, it's important to think about for those of you that are IT professionals and developers, more than 10 years ago, agile practices began sweeping companies where small teams would work together rapidly in a very flexible, adaptive, and innovative way. And it proved to be transformational. However, today, of course, that is no longer just small teams, the next big wave of change. And we've seen it through this pandemic is that it's the whole enterprise that must collaborate and be agile. If I look back on my career, when I was at Disney, we owned everything 100%. We made a decision, we implemented it. We were a collaborative culture, but it was much easier to push change because you own the whole decision. If there was buy-in from the top down, you've got the people from the bottom up to do it and you executed. At Universal we were a joint venture. Our attractions and entertainment was licensed. Our hotels were owned and managed by other third parties. So influence and collaboration and how to share across companies became very important. And now here I am at the NFL and even the bigger ecosystem, we have 32 clubs that are all separate businesses. 31 different stadiums that are owned by a variety of people. We have licensees, we have sponsors, we have broadcast partners. So it seems that as my career has evolved, centralized control has gotten less and less and has been replaced by intense collaboration, not only within your own company, but across companies. The ability to work in a collaborative way across businesses and even other companies that has been a big key to my success in my career. I believe this whole vertical integration and big top-down decision-making is going by the wayside in favor of ecosystems that require cooperation yet competition to co-exist. I mean, the NFL is a great example of what we call co-op petition, which is cooperation and competition. We're in competition with each other, but we cooperate to make the company the best it can be. And at the heart of these items really are data driven decisions and culture. Data on its own isn't good enough. You must be able to turn it to insights. Partnerships between technology teams who usually hold the keys to the raw data and business units who have the knowledge to build the right decision models is key. If you're not already involved in this linkage, you should be. Data mining isn't new for sure. The availability of data is quadrupling and it's everywhere. How do you know what to even look at? How do you know where to begin? How do you know what questions to ask it's by using the tools that are available for visualization and analytics and knitting together strategies of the company. So it begins with first of all, making sure you do understand the strategy of the company. So in closing, just to wrap up a bit, many of you joined today, looking for thought leadership on how to be a change agent, a change champion, and how to lead through transformation. Some final thoughts are be brave and drive. Don't do the ride along program. It's very important to drive. Driving can be high risk, but it's also high reward. Embracing the uncertainty of what will happen is how you become brave. Get more and more comfortable with uncertainty, be calm and let data be your map on your journey. Thanks. >> Michelle, tank you so much. So you and I share a love of data and a love of football. You said you want to be the quarterback. I'm more an old line person. (Michelle and Cindi laughing) >> Well, then I can do my job without you. >> Great. And I'm getting the feeling now, Sudheesh is talking about bungee jumping. My vote is when we're past this pandemic, we both take them to the Delaware water gap and we do the cliff jumping. >> That sounds good, I'll watch. >> Yeah, you'll watch, okay. So Michelle, you have so many stakeholders when you're trying to prioritize the different voices. You have the players, you have the owners, you have the league, as you mentioned, the broadcasters, your partners here and football mamas like myself. How do you prioritize when there's so many different stakeholders that you need to satisfy? >> I think balancing across stakeholders starts with, aligning on a mission. And if you spend a lot of time understanding where everyone's coming from, and you can find the common thread that ties them all together, you sort of do get them to naturally prioritize their work. And I think that's very important. So for us, at the NFL and even at Disney, it was our core values and our core purpose, is so well known and when anything challenges that we're able to sort of lay that out. But as a change agent, you have to be very empathetic. And I would say empathy is probably your strongest skill if you're a change agent. And that means listening to every single stakeholder, even when they're yelling at you, even when they're telling you your technology doesn't work and you know that it's user error, or even when someone is just emotional about what's happening to them and that they're not comfortable with it. So I think being empathetic and having a mission and understanding it is sort of how I prioritize and balance. >> Yeah, empathy, a very popular word this year. I can imagine those coaches and owners yelling. So, thank you for your leadership here. So Michelle, I look forward to discussing this more with our other customers and disruptors joining us in a little bit. (upbeat music) So we're going to take a hard pivot now and go from football to Chernobyl. Chernobyl what went wrong? 1986, as the reactors were melting down, they had the data to say, this is going to be catastrophic. And yet the culture said, "no, we're perfect, hide it. "Don't dare tell anyone." Which meant they went ahead and had celebrations in Kiev. Even though that increased the exposure, the additional thousands getting cancer and 20,000 years before the ground around there can even be inhabited again, this is how powerful and detrimental a negative culture, a culture that is unable to confront the brutal facts that hides data. This is what we have to contend with. And this is why I want you to focus on having, fostering a data-driven culture. I don't want you to be a laggard. I want you to be a leader in using data to drive your digital transformation. So I'll talk about culture and technology. Is it really two sides of the same coin, real-world impacts and then some best practices you can use to and innovate your culture. Now, oftentimes I would talk about culture and I talk about technology. And recently a CDO said to me, "Cindi, I actually think this is two sides "of the same coin. "One reflects the other." What do you think? Let me walk you through this. So let's take a laggard. What does the technology look like? Is it based on 1990s BI and reporting largely parametrized reports, on premises data, warehouses, or not even that operational reports at best one enterprise data warehouse, very slow moving and collaboration is only email. What does that culture tell you? Maybe there's a lack of leadership to change, to do the hard work that Sudheesh referred to, or is there also a culture of fear, afraid of failure, resistance to change complacency. And sometimes that complacency it's not because people are lazy. It's because they've been so beaten down every time a new idea is presented. It's like, no we're measured on least cost to serve. So politics and distrust, whether it's between business and IT or individual stakeholders is the norm. So data is hoarded. Let's contrast that with a leader, a data and analytics leader, what is their technology look like? Augmented analytics search and AI driven insights, not on premises, but in the cloud and maybe multiple clouds. And the data is not in one place, but it's in a data Lake and in a data warehouse, a logical data warehouse. The collaboration is being a newer methods, whether it's Slack or teams allowing for that real time decisioning or investigating a particular data point. So what is the culture in the leaders? It's transparent and trust. There is a trust that data will not be used to punish that there is an ability to confront the bad news. It's innovation, valuing innovation in pursuit of the company goals, whether it's the best fan experience and player safety in the NFL or best serving your customers. It's innovative and collaborative. There's none of this. Oh, well, I didn't invent that. I'm not going to look at that. There's still pride of ownership, but it's collaborating to get to a better place faster. And people feel empowered to present new ideas to fail fast, and they're energized knowing that they're using the best technology and innovating at the pace that business requires. So data is democratized. And democratized, not just for power users or analysts, but really at the point of impact what we like to call the new decision-makers or really the frontline workers. So Harvard business review partnered with us to develop this study to say, just how important is this? We've been working at BI and analytics as an industry for more than 20 years. Why is it not at the front lines? Whether it's a doctor, a nurse, a coach, a supply chain manager, a warehouse manager, a financial services advisor. Everyone said that if our 87% said, they would be more successful if frontline workers were empowered with data driven insights, but they recognize they need new technology to be able to do that. It's not about learning hard tools. The sad reality, only 20% of organizations are actually doing this. These are the data-driven leaders. So this is the culture in technology. How did we get here? It's because state-of-the-art keeps changing. So the first-generation BI and analytics platforms were deployed on premises on small datasets, really just taking data out of ERP systems that were also on premises. And state-of-the-art was maybe getting a management report, an operational report. Over time visual-based data discovery vendors disrupted these traditional BI vendors, empowering now analysts to create visualizations with the flexibility on a desktop, sometimes larger data, sometimes coming from a data warehouse. The current state of the art though, Gartner calls it augmented analytics at ThoughtSpot, we call it search and AI driven analytics. And this was pioneered for large scale datasets, whether it's on premises or leveraging the cloud data warehouses. And I think this is an important point. Oftentimes you, the data and analytics leaders will look at these two components separately, but you have to look at the BI and analytics tier in lockstep with your data architectures to really get to the granular insights and to leverage the capabilities of AI. Now, if you've never seen ThoughtSpot, I'll just show you what this looks like. Instead of somebody hard coding, a report it's typing in search keywords and very robust keywords contains rank top bottom, getting to a visual visualization that then can be pinned to an existing Pin board that might also contain insights generated by an AI engine. So it's easy enough for that new decision maker, the business user, the non analyst to create themselves. Modernizing the data and analytics portfolio is hard because the pace of change has accelerated. You use to be able to create an investment place a bet for maybe 10 years, a few years ago, that time horizon was five years, now it's maybe three years and the time to maturity has also accelerated. So you have these different components, the search and AI tier, the data science tier, data preparation and virtualization. But I would also say equally important is the cloud data warehouse and pay attention to how well these analytics tools can unlock the value in these cloud data warehouses. So ThoughtSpot was the first to market with search and AI driven insights. Competitors have followed suit, but be careful if you look at products like power BI or SAP analytics cloud, they might demo well, but do they let you get to all the data without moving it in products like Snowflake, Amazon Redshift, or Azure synapse or Google big query, they do not. They require you to move it into a smaller in memory engine. So it's important how well these new products inter operate. the pace of change, its acceleration Gartner recently predicted that by 2022, 65% of analytical queries will be generated using search or NLP or even AI. And that is roughly three times the prediction they had just a couple years ago. So let's talk about the real world impact of culture. And if you read any of my books or used any of the maturity models out there, whether the Gartner IT score that I worked on, or the data warehousing Institute also has the money surety model. We talk about these five pillars to really become data-driven. As Michelle, I spoke about it's focusing on the business outcomes, leveraging all the data, including new data sources, it's the talent, the people, the technology, and also the processes. And often when I would talk about the people and the talent, I would lump the culture as part of that. But in the last year, as I've traveled the world and done these digital events for Thought leaders, you have told me now culture is absolutely so important. And so we've pulled it out as a separate pillar. And in fact, in polls that we've done in these events, look at how much more important culture is as a barrier to becoming data-driven it's three times as important as any of these other pillars. That's how critical it is. And let's take an example of where you can have great data, but if you don't have the right culture, there's devastating impacts. And I will say, I have been a loyal customer of Wells Fargo for more than 20 years. But look at what happened in the face of negative news with data, it said, "hey, we're not doing good cross selling, "customers do not have both a checking account "and a credit card and a savings account and a mortgage." They opened fake accounts facing billions in fines, change in leadership that even the CEO attributed to a toxic sales culture, and they're trying to fix this. But even recently there's been additional employee backlash saying the culture has not changed. Let's contrast that with some positive examples, Medtronic, a worldwide company in 150 countries around the world. They may not be a household name to you, but if you have a loved one or yourself, you have a pacemaker, spinal implant diabetes, you know this brand. And at the start of COVID when they knew their business would be slowing down, because hospitals would only be able to take care of COVID patients. They took the bold move of making their IP for ventilators publicly available. That is the power of a positive culture. Or Verizon, a major telecom organization looking at late payments of their customers. And even though the U.S federal government said, "well, you can't turn them off. They said, "we'll extend that even beyond "the mandated guidelines." And facing a slow down in the business because of the tough economy, they said, you know what? "We will spend the time up skilling our people, "giving them the time to learn more "about the future of work, the skills and data "and analytics," for 20,000 of their employees, rather than furloughing them. That is the power of a positive culture. So how can you transform your culture to the best in class? I'll give you three suggestions, bring in a change agent, identify the relevance, or I like to call it WIFM and organize for collaboration. So the CDO, whatever your title is, chief analytics officer, chief digital officer, you are the most important change agent. And this is where you will hear that oftentimes a change agent has to come from outside the organization. So this is where, for example, in Europe, you have the CDO of Just Eat a takeout food delivery organization coming from the airline industry or in Australia, National Australian bank, taking a CDO within the same sector from TD bank going to NAB. So these change agents come in disrupt. It's a hard job. As one of you said to me, it often feels like Sisyphus. I make one step forward and I get knocked down again. I get pushed back. It is not for the faint of heart, but it's the most important part of your job. The other thing I'll talk about is WIFM. What is in it for me? And this is really about understanding the motivation, the relevance that data has for everyone on the frontline, as well as those analysts, as well as the executives. So if we're talking about players in the NFL, they want to perform better and they want to stay safe. That is why data matters to them. If we're talking about financial services, this may be a wealth management advisor. Okay we could say commissions, but it's really helping people have their dreams come true, whether it's putting their children through college or being able to retire without having to work multiple jobs still into your 70s or 80s for the teachers, teachers, you ask them about data. They'll say we don't, we don't need that. I care about the student. So if you can use data to help a student perform better, that is WIFM. And sometimes we spend so much time talking the technology, we forget what is the value we're trying to deliver with it. And we forget the impact on the people that it does require change. In fact, the Harvard business review study found that 44% said lack of change management is the biggest barrier to leveraging both new technology, but also being empowered to act on those data-driven insights. The third point organize for collaboration. This does require diversity of thought, but also bringing the technology, the data and the business people together. Now there's not a single one size fits all model for data and analytics. At one point in time, even having a BICC, a BI competency center was considered state-of-the-art. Now for the biggest impact what I recommend is that you have a federated model centralized for economies of scale. That could be the common data, but then in bed, these evangelists, these analysts of the future within every business unit, every functional domain. And as you see this top bar, all models are possible, but the hybrid model has the most impact, the most leaders. So as we look ahead to the months ahead, to the year ahead an exciting time, because data is helping organizations better navigate a tough economy, lock in the customer loyalty. And I look forward to seeing how you foster that culture that's collaborative with empathy and bring the best of technology, leveraging the cloud, all your data. So thank you for joining us at Thought Leaders. And next I'm pleased to introduce our first change agent, Tom Mazzaferro chief data officer of Western union. And before joining Western union, Tom made his Mark at HSBC and JPMorgan Chase spearheading digital innovation in technology, operations, risk compliance, and retail banking. Tom, thank you so much for joining us today. (upbeat music) >> Very happy to be here and looking forward to talking to all of you today. So as we look to move organizations to a data-driven, capability into the future, there is a lot that needs to be done on the data side, but also how does data connect and enable different business teams and technology teams into the future. As you look across, our data ecosystems and our platforms and how we modernize that to the cloud in the future, it all needs to basically work together, right? To really be able to drive and over the shift from a data standpoint, into the future, that includes being able to have the right information with the right quality of data, at the right time to drive informed business decisions, to drive the business forward. As part of that, we actually have partnered with ThoughtSpot, to actually bring in the technology to help us drive that as part of that partnership. And it's how we've looked to integrate it into our overall business as a whole we've looked at how do we make sure that our business and our professional lives right, are enabled in the same ways as our personal lives. So for example, in your personal lives, when you want to go and find something out, what do you do? You go onto google.com or you go on to Bing we go onto Yahoo and you search for what you want search to find and answer. ThoughtSpot for us as the same thing, but in the business world. So using ThoughtSpot and other AI capability it's allowed us to actually, enable our overall business teams in our company to actually have our information at our fingertips. So rather than having to go and talk to someone or an engineer to go pull information or pull data, we actually can have the end-users or the business executives, right. Search for what they need, what they want at the exact time that action need it to go and drive the business forward. This is truly one of those transformational things that we've put in place. On top of that, we are on the journey to modernize our larger ecosystem as a whole. That includes modernizing our underlying data warehouses, our technology, or our Eloqua environments. And as we move that, we've actually picked two of our cloud providers going to AWS and GCP. We've also adopted Snowflake to really drive and to organize our information and our data then drive these new solutions and capabilities forward. So they portion of us though is culture. So how do we engage with the business teams and bring the IT teams together to really drive these holistic end to end solutions and capabilities to really support the actual business into the future? That's one of the keys here, as we look to modernize and to really enhance our organizations to become data-driven, this is the key. If you can really start to provide answers to business questions before they're even being asked and to predict based upon different economic trends or different trends in your business, what does this is maybe be made and actually provide those answers to the business teams before they're even asking for it, that is really becoming a data-driven organization. And as part of that, it's really then enables the business to act quickly and take advantage of opportunities as they come in based upon, industries based upon markets, based upon products, solutions, or partnerships into the future. These are really some of the keys that become crucial as you move forward, right, into this new age, especially with COVID. With COVID now taking place across the world, right? Many of these markets, many of these digital transformations are accelerating and are changing rapidly to accommodate and to support customers in these very difficult times, as part of that, you need to make sure you have the right underlying foundation ecosystems and solutions to really drive those capabilities and those solutions forward. As we go through this journey, both of my career, but also each of your careers into the future, right? It also needs to evolve, right? Technology has changed so drastically in the last 10 years, and that change is only accelerating. So as part of that, you have to make sure that you stay up to speed, up to date with new technology changes both on the platform standpoint tools, but also what do our customers want? What do our customers need and how do we then service them with our information, with our data, with our platform and with our products and our services to meet those needs and to really support and service those customers into the future. This is all around becoming a more data organization such as how do you use your data to support the current business lines, but how do you actually use your information, your data to actually put a better support your customers, better support your business, better support your employees, your operations teams, and so forth, and really creating that full integration in that ecosystem is really when you start to get large dividends from this investments into the future. But that being said, hope you enjoy the segment on how to become and how to drive it data driven organization. And, looking forward to talking to you again soon. Thank you. >> Tom that was great thanks so much. Now I'm going to have to brag on you for a second as a change agent you've come in disrupted and how long have you been at Western union? >> Only nine months, so just started this year, but, doing some great opportunities and great changes. And we have a lot more to go, but, we're really driving things forward in partnership with our business teams and our colleagues to support those customers going forward. >> Tom, thank you so much. That was wonderful. And now I'm excited to introduce you to Gustavo Canton, a change agent that I've had the pleasure of working with meeting in Europe, and he is a serial change agent, most recently with Schneider electric, but even going back to Sam's clubs, Gustavo welcome. (upbeat music) >> So, hey everyone, my name is Gustavo Canton and thank you so much, Cindi, for the intro, as you mentioned, doing transformations is high effort, high reward situation. I have empowered many transformations and I have led many transformations. And what I can tell you is that it's really hard to predict the future, but if you have a North star and where you're going, the one thing that I want you to take away from this discussion today is that you need to be bold to evolve. And so in today, I'm going to be talking about culture and data, and I'm going to break this down in four areas. How do we get started barriers or opportunities as I see it, the value of AI, and also, how do you communicate, especially now in the workforce of today with so many different generations, you need to make sure that you are communicating in ways that are non-traditional sometimes. And so how do we get started? So I think the answer to that is you have to start for you yourself as a leader and stay tuned. And by that, I mean, you need to understand not only what is happening in your function or your field, but you have to be varying into what is happening in society, socioeconomically speaking wellbeing. The common example is a great example. And for me personally, it's an opportunity because the one core value that I have is well-being, I believe that for human potential, for customers and communities to grow wellbeing should be at the center of every decision. And as somebody mentioned is great to be, stay in tune and have the skillset and the courage. But for me personally, to be honest, to have this courage is not about not being afraid. You're always afraid when you're making big changes when you're swimming upstream, but what gives me the courage is the empathy part. Like I think empathy is a huge component because every time I go into an organization or a function, I try to listen very attentively to the needs of the business and what the leaders are trying to do. What I do it thinking about the mission of how do I make change for the bigger, workforce? for the bigger good. Despite this fact that this might have a perhaps implication on my own self-interest in my career, right? Because you have to have that courage sometimes to make choices that I know we'll see in politically speaking, what are the right thing to do? And you have to push through it. And you have to push through it. So the bottom line for me is that I don't think they're transforming fast enough. And the reality is I speak with a lot of leaders and we have seen stories in the past. And what they show is that if you look at the four main barriers that are basically keeping us behind budget, inability to act cultural issues, politics, and lack of alignment, those are the top four. But the interesting thing is that as Cindi has mentioned, these topics culture is actually gaining, gaining more and more traction. And in 2018, there was a story from HBR and it was about 45%. I believe today it's about 55%, 60% of respondents say that this is the main area that we need to focus on. So again, for all those leaders and all the executives who understand and are aware that we need to transform, commit to the transformation and set a state, deadline to say, "hey, in two years, we're going to make this happen. "What do we need to do to empower and enable "this change engines to make it happen?" You need to make the tough choices. And so to me, when I speak about being bold is about making the right choices now. So I'll give you samples of some of the roadblocks that I went through as I think transformation most recently, as Cindi mentioned in Schneider. There are three main areas, legacy mindset. And what that means is that we've been doing this in a specific way for a long time and here is how we have been successful what was working the past is not going to work now. The opportunity there is that there is a lot of leaders who have a digital mindset and there're up and coming leaders that are not yet fully developed. We need to mentor those leaders and take bets on some of these talent, including young talent. We cannot be thinking in the past and just wait for people, three to five years for them to develop because the world is going to in a way that is super fast. The second area, and this is specifically to implementation of AI is very interesting to me because just example that I have with ThoughtSpot, right, we went to implementation and a lot of the way is the IT team function of the leaders look at technology, they look at it from the prism of the prior all success criteria for the traditional Bi's. And that's not going to work. Again the opportunity here is that you need to really find what successful look like. In my case, I want the user experience of our workforce to be the same as user experience you have at home is a very simple concept. And so we need to think about how do we gain the user experience with this augmented analytics tools and then work backwards to have the right talent processes and technology to enable that. And finally, with COVID a lot of pressuring organizations, and companies to do more with less. And the solution that most leaders I see are taking is to just minimize costs, sometimes in cut budget, we have to do the opposite. We have to actually invest some growth areas, but do it by business question. Don't do it by function. If you actually invest in these kind of solutions, if you actually invest on developing your talent, your leadership to see more digitally, if you actually invest on fixing your data platform, it's not just an incremental cost. It's actually this investment is going to offset all those hidden costs and inefficiencies that you have on your system, because people are doing a lot of work and working very hard, but it's not efficiency, and it's not working in the way that you might want to work. So there is a lot of opportunity there. And you just to put into some perspective, there have studies in the past about, how do we kind of measure the impact of data. And obviously this is going to vary by your organization maturity, is going to, there's going to be a lot of factors. I've been in companies who have very clean, good data to work with. And I think with companies that we have to start basically from scratch. So it all depends on your maturity level, but in this study, what I think is interesting is they try to put attack line or attack price to what is the cost of incomplete data. So in this case, it's about 10 times as much to complete a unit of work when you have data that is flawed as opposed to have perfect data. So let me put that just in perspective, just as an example, right? Imagine you are trying to do something and you have to do 100 things in a project, and each time you do something, it's going to cost you a dollar. So if you have perfect data, the total cost of that project might be $100. But now let's say you have any percent perfect data and 20% flawed data by using this assumption that flawed data is 10 times as costly as perfect data. Your total costs now becomes $280 as opposed to $100. This is just for you to really think about as a CIO CTO, CHRO CEO, are we really paying attention and really closing the gaps that we have on our data infrastructure. If we don't do that, it's hard sometimes to see the snowball effect or to measure the overall impact. But as you can tell the price that goes up very, very quickly. So now, if I were to say, how do I communicate this? Or how do I break through some of these challenges or some of these various, right. I think the key is I am in analytics. I know statistics obviously, and love modeling and data and optimization theory and all that stuff. That's what I came to analytics. But now as a leader and as a change agent, I need to speak about value. And in this case, for example, for Schneider, there was this tagline called free up your energy. So the number one thing that they were asking from the analytics team was actually efficiency, which to me was very interesting. But once I understood that I understood what kind of language to use, how to connect it to the overall strategy and basically how to bring in the, the right leaders, because you need to focus on the leaders that you're going to make the most progress. Again, low effort, high value. You need to make sure you centralize all the data as you can. You need to bring in some kind of augmented analytics solution. And finally you need to make it super simple for the, in this case, I was working with the HR teams in other areas, so they can have access to one portal. They don't have to be confused in looking for 10 different places to find information. I think if you can actually have those four foundational pillars, obviously under the guise of having a data-driven culture, that's when you can actually make the impact. So in our case, it was about three years total transformation, but it was two years for this component of augmented analytics. It took about two years to talk to IT get leadership support, find the budgeting, get everybody on board, make sure the safe criteria was correct. And we call this initiative, the people analytics portal, it was actually launched in July of this year. And we were very excited and the audience was very excited to do this. In this case, we did our pilot in North America for many, many manufacturers. But one thing that is really important is as you bring along your audience on this, you're going from Excel, in some cases or Tableau to other tools like, ThoughtSpot, you need to really explain them what is the difference and how these tools can truly replace, some of the spreadsheets or some of the views that you might have on these other kind of tools. Again, Tableau, I think it's a really good tool. There are other many tools that you might have in your toolkit. But in my case, personally, I feel that you need to have one portal going back to Cindi's point. I really truly enable the end user. And I feel that this is the right solution for us, right? And I will show you some of the findings that we had in the pilot in the last two months. So this was a huge victory, and I will tell you why, because it took a lot of effort for us to get to the station. Like I said, it's been years for us to kind of lay the foundation, get the leadership, and shaping culture so people can understand why you truly need to invest on (indistinct) analytics. And so what I'm showing here is an example of how do we use basically, a tool to capture in video the qualitative findings that we had, plus the quantitative insights that we have. So in this case, our preliminary results based on our ambition for three main metrics, hours saved user experience and adoption. So for hours saved or a mission was to have 10 hours per week per employee save on average user experience, or ambition was 4.5. And adoption, 80%. In just two months, two months and a half of the pilot, we were able to achieve five hours per week per employee savings. Our user experience for 4.3 out of five and adoption of 60%. Really, really amazing work. But again, it takes a lot of collaboration for us to get to the stage from IT, legal, communications, obviously the operations teams and the users in HR safety and other areas that might be, basically stakeholders in this whole process. So just to summarize this kind of effort takes a lot of energy. You are a change agent. You need to have a courage to make the decision and understand that I feel that in this day and age, with all this disruption happening, we don't have a choice. We have to take the risk, right? And in this case, I feel a lot of satisfaction in how we were able to gain all these very source for this organization. And that gave me the confidence to know that the work has been done and we are now in a different stage for the organization. And so for me, it to say, thank you for everybody who has believed, obviously in our vision, everybody who has believe in the word that we were trying to do and to make the life of four workforce or customers or in community better. As you can tell, there is a lot of effort. There is a lot of collaboration that is needed to do something like this. In the end, I feel very satisfied. With the accomplishments of this transformation, and I just want to tell for you, if you are going right now in a moment that you feel that you have to swim upstream what would mentors, what would people in this industry that can help you out and guide you on this kind of a transformation is not easy to do is high effort, but is well worth it. And with that said, I hope you are well, and it's been a pleasure talking to you. Talk to you soon, take care. >> Thank you, Gustavo, that was amazing. All right, let's go to the panel. (air whooshing) >> Okay, now we're going to go into the panel and bring Cindi, Michelle, Tom, and Gustavo back and have an open discussion. And I think we can all agree how valuable it is to hear from practitioners. And I want to thank the panel for sharing their knowledge with the community. And one common challenge that I heard you all talk about was bringing your leadership and your teams along on the journey with you. We talk about this all the time, and it is critical to have support from the top. Why? Because it directs the middle and then it enables bottoms up innovation effects from the cultural transformation that you guys all talked about. It seems like another common theme we heard is that you all prioritize database decision-making in your organizations and you combine two of your most valuable assets to do that and create leverage, employees on the front lines. And of course the data. And as you rightly pointed out, Tom, the pandemic has accelerated the need for really leaning into this. The old saying, if it ain't broke don't fix it. Well COVID is broken everything. And it's great to hear from our experts, how to move forward. So let's get right into it. So Gustavo, let's start with you if I'm an aspiring change agent and let's say I'm a budding data leader. What do I need to start doing? What habits do I need to create for long lasting success? >> I think curiosity is very important. You need to be, like I say, in tune to what is happening, not only in your specific field, like I have a passion for analytics, I can do this for 50 years plus, but I think you need to understand wellbeing other areas across not only a specific business, as you know I come from, Sam's club Walmart, retail, I mean energy management technology. So you have to try to push yourself and basically go out of your comfort zone. I mean, if you are staying in your comfort zone and you want to use lean continuous improvement, that's just going to take you so far. What you have to do is, and that's what I try to do is I try to go into areas, businesses, and transformation that make me stretch and develop as a leader. That's what I'm looking to do so I can help transform the functions organizations and do the change management, change of mindset required for these kinds of efforts. >> Michelle, you're at the intersection of tech and sports and what a great combination, but they're both typically male oriented fields. I mean, we've talked a little bit about how that's changing, but two questions. Tell us how you found your voice and talk about why diversity matters so much more than ever now. >> No, I found my voice really as a young girl, and I think I had such amazing support from men in my life. And I think the support and sponsorship as well as sort of mentorship along the way, I've had amazing male mentors who have helped me understand that my voice is just as important as anyone else's. I mean, I have often heard, and I think it's been written about that a woman has to believe they'll 100% master topic before they'll talk about it where a man can feel much less mastery and go on and on. So I was that way as well. And I learned just by watching and being open, to have my voice. And honestly at times demand a seat at the table, which can be very uncomfortable. And you really do need those types of, support networks within an organization. And diversity of course is important and it has always been. But I think if anything, we're seeing in this country right now is that diversity among all types of categories is front and center. And we're realizing that we don't all think alike. We've always known this, but we're now talking about things that we never really talked about before. And we can't let this moment go unchecked and on, and not change how we operate. So having diverse voices within your company and in the field of tech and sports, I am often the first and only I'm was the first, CIO at the NFL, the first female senior executive. It was fun to be the first, but it's also, very challenging. And my responsibility is to just make sure that, I don't leave anyone behind and make sure that I leave it good for the next generation. >> Well, thank you for that. That is inspiring. And Cindi, you love data and the data's pretty clear that diversity is a good business, but I wonder if you can add your perspectives to this conversation? >> Yeah, so Michelle has a new fan here because she has found her voice. I'm still working on finding mine. And it's interesting because I was raised by my dad, a single dad. So he did teach me how to work in a predominantly male environment, but why I think diversity matters more now than ever before. And this is by gender, by race, by age, by just different ways of working in thinking is because as we automate things with AI, if we do not have diverse teams looking at the data and the models and how they're applied, we risk having bias at scale. So this is why I think I don't care what type of minority you are finding your voice, having a seat at the table and just believing in the impact of your work has never been more important. And as Michelle said more possible. >> Great perspectives, thank you. Tom I want to go to you. I mean, I feel like everybody in our businesses in some way, shape or form become a COVID expert, but what's been the impact of the pandemic on your organization's digital transformation plans? >> We've seen a massive growth actually in a digital business over the last, 12 months, really, even in celebration, right? Once COVID hit, we really saw that in the 200 countries and territories that we operate in today and service our customers, today, that there's been a huge need, right? To send money, to support family, to support, friends and support loved ones across the world. And as part of that we are very, honored to get to support those customers that we, across all the centers today. But as part of that acceleration we need to make sure that we had the right architecture and the right platforms to basically scale, right, to basically support and provide the right kind of security for our customers going forward. So as part of that, we did do some pivots and we did accelerate some of our plans on digital to help support that overall growth coming in and to support our customers going forward, because there were these times during this pandemic, right? This is the most important time. And we need to support those that we love and those that we care about and doing that it's one of those ways is actually by sending money to them, support them financially. And that's where, really our part of that our services come into play that we really support those families. So it was really a great opportunity for us to really support and really bring some of our products to this level and supporting our business going forward. >> Awesome, thank you. Now I want to come back to Gustavo, Tom I'd love for you to chime in too. Did you guys ever think like you were, you were pushing the envelope too much in doing things with data or the technology that was just maybe too bold, maybe you felt like at some point it was failing or you're pushing your people too hard. Can you share that experience and how you got through it? >> Yeah, the way I look at it is, again, whenever I go to an organization, I ask the question, hey, how fast you would like transform. And, based on the agreements from the leadership and the vision that we want to take place, I take decisions. And I collaborate in a specific way now, in the case of COVID, for example, right. It forces us to remove silos and collaborate in a faster way. So to me, it was an opportunity to actually integrate with other areas and drive decisions faster, but make no mistake about it. When you are doing a transformation, you are obviously trying to do things faster than sometimes people are comfortable doing, and you need to be okay with that. Sometimes you need to be okay with tension, or you need to be okay debating points or making repetitive business cases until people connect with the decision because you understand, and you are seeing that, "hey, the CEO is making a one two year, efficiency goal. "The only way for us to really do more with less "is for us to continue this path. "We cannot just stay with the status quo. "We need to find a way to accelerate the transformation." That's the way I see it. >> How about you Tom, we were talking earlier with Sudheesh and Cindi, about that bungee jumping moment. What could you share? >> Yeah, I think you hit upon it, right now, the pace of change with the slowest pace that you see for the rest of your career. So as part of that, right, that's what I tell my team is that you need to be, you need to feel comfortable being uncomfortable. I mean, that we have to be able to basically scale, right, expand and support that the ever-changing needs in the marketplace and industry our customers today, and that pace of change that's happening, right. And what customers are asking for and the competition in the marketplace, it's only going to accelerate. So as part of that, as you look at what, how you're operating today in your current business model, right. Things are only going to get faster. So you have to plan into a line into drive the agile transformation so that you can scale even faster in the future. So as part of that, that's what we're putting in place here, right, is how do we create that underlying framework and foundation that allows the organization to basically continue to scale and evolve into the future? >> Yeah, we're definitely out of our comfort zones, but we're getting comfortable with it. So, Cindi, last question, you've worked with hundreds of organizations, and I got to believe that, some of the advice you gave when you were at Gartner, which is pre COVID, maybe sometimes clients didn't always act on it. They're not on my watch for whatever variety of reasons, but it's being forced on them now. But knowing what you know now that we're all in this isolation economy, how would you say that advice has changed? Has it changed? What's your number one action and recommendation today? >> Yeah, well, first off, Tom just freaked me out. What do you mean? This is the slowest ever even six months ago I was saying the pace of change in data and analytics is frenetic. So, but I think you're right, Tom, the business and the technology together is forcing this change. Now, Dave, to answer your question, I would say the one bit of advice, maybe I was a little more, very aware of the power and politics and how to bring people along in a way that they are comfortable. And now I think it's, you know what you can't get comfortable. In fact, we know that the organizations that were already in the cloud have been able to respond and pivot faster. So if you really want to survive as Tom and Gustavo said, get used to being uncomfortable, the power and politics are going to happen. Break the rules, get used to that and be bold. Do not be afraid to tell somebody they're wrong and they're not moving fast enough. I do think you have to do that with empathy, as Michelle said, and Gustavo, I think that's one of the key words today besides the bungee jumping. So I want to know where's the dish going to go bungee jumping. >> Guys fantastic discussion, really. Thanks again to all the panelists and the guests. It was really a pleasure speaking with you today. Really virtually all of the leaders that I've spoken to in the Cube program. Recently, they tell me that the pandemic is accelerating so many things, whether it's new ways to work, we heard about new security models and obviously the need for cloud. I mean, all of these things are driving true enterprise wide digital transformation, not just, as I said before, lip service. Sometimes we minimize the importance and the challenge of building culture and in making this transformation possible. But when it's done, right, the right culture is going to deliver tremendous results. Yeah, what does that mean getting it right? Everybody's trying to get it right. My biggest takeaway today is it means making data part of the DNA of your organization. And that means making it accessible to the people in your organization that are empowered to make decisions, decisions that can drive new revenue, cut costs, speed access to critical care, whatever the mission is of your organization. Data can create insights and informed decisions that drive value. Okay. Let's bring back Sudheesh and wrap things up. Sudheesh, please bring us home. >> Thank you. Thank you, Dave. Thank you, the Cube team, and thank goes to all of our customers and partners who joined us and thanks to all of you for spending the time with us. I want to do three quick things and then close it off. The first thing is I want to summarize the key takeaways that I had from all four of our distinguished speakers. First, Michelle, I will simply put it. She said it really well. That is be brave and drive. Don't go for a drive along. That is such an important point. Oftentimes, you know that I think that you have to do to make the positive change that you want to see happen but you wait for someone else to do it, not just, why not you? Why don't you be the one making that change happen? That's the thing that I've picked up from Michelle's talk. Cindi talked about finding the importance of finding your voice. Taking that chair, whether it's available or not, and making sure that your ideas, your voices are heard, and if it requires some force, then apply that force. Make sure your ideas are heard. Gustavo talked about the importance of building consensus, not going at things all alone sometimes building the importance of building the quorum. And that is critical because if you want the changes to last, you want to make sure that the organization is fully behind it. Tom, instead of a single takeaway, what I was inspired by is the fact that a company that is 170 years old, 170 years old, 200 companies and 200 countries they're operating in. And they were able to make the change that is necessary through this difficult time. So in a matter of months, if they could do it, anyone could. The second thing I want to do is to leave you with a takeaway that is I would like you to go to topspot.com/nfl because our team has made an app for NFL on Snowflake. I think you will find this interesting now that you are inspired and excited because of Michelle's talk. And the last thing is please go to thoughtspot.com/beyond our global user conference is happening in this December. We would love to have you join us. It's again, virtual, you can join from anywhere. We are expecting anywhere from five to 10,000 people, and we would love to have you join and see what we've been up to since last year. We have a lot of amazing things in store for you, our customers, our partners, our collaborators, they will be coming and sharing. We'll be sharing things that we've have been working to release something that will come out next year. And also some of the crazy ideas our engineers have been cooking up. All of those things will be available for you at the Thought Spot Beyond. Thank you. Thank you so much.

>> Announcer: From the CUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Welcome to this special CUBE conversation. I'm John Furrier here in Palo Alto, California. In our remote studio, we have a quarantine crew here during this COVID-19 crisis. Here talking about the crisis and the impact to business and overall work. Joined by a great guest Dustin Kirkland, CUBE alumni, who's now the chief product officer at Apex Clearing. This COVID-19 has really demonstrated to the mainstream world stage, not just inside the industry that we've been covering for many, many years, that the idea of at-scale means something completely different, and certainly DevOps and Agile is going mainstream to survive, and people are realizing that now. No better guest than have Dustin join us, who's had experiences in open source. He's worked across the industry from Ubuntu, Open Stack, Kubernetes, Google, Canonical. Dustin, welcome back to the CUBE here remotely. Looking good. >> Yeah, yeah, thanks, John. Last time we talked, I was in the studio, and here we are talking over the internet. This is a lot of fun. >> Well, I really appreciate it. I know you've been in your new role since September. A lot's changed, but one of the things why I wanted to talk with you is because you and I have talked many times around DevOps. This has been the industry conversation. We've been inside the ropes. Now you're starting to see, with this new scale of work-at-home forcing all kinds of new pressure points, giving people the realization that the entire life with digital and with technology can be different, doesn't have to be augmented with their existing life. It's a full-on technology driven impact, and I think a lot of people are learning that, and certainly, healthcare and finance are two areas, in particular, that are impacted heavily. Obviously, people are worried about the economy, and we're worried about people's lives. These are two major areas, but even outside that, there's new entrepreneurs right now that I know who are working on new ventures. You're seeing people working on new solutions. This is kind of bringing the DevOps concept to areas that quite frankly weren't there. I want to get your thoughts and reaction to that. >> Yeah, without a doubt, I mean, the whole world has changed in 30 short days. We knew something was amiss in China. We knew that there was a lot of danger for people. The danger for business, though, didn't become apparent until vast swathes of the work force got sent home. And there's a number of businesses and industries that are coping relatively well with this. Certainly those who have previously adopted, or have experienced, doing work remotely, doing business by video, teleconference, having resources in the cloud, having people and expertise who are able to continue working at nearly 100% capacity in 100% remote environments. There's a lot of technology behind that, and there are some industries, and in particular, some firms, some organizations, that were really adept and were able to make that shift almost overnight. Maybe there were a couple bumps along the way, some VPN settings needed to be tweaked, and Zoom settings needed to be changed a little bit, but for many, this was a relatively smooth transition, and we may be doing this for a very long time. >> Yeah, I want to get your thoughts, before we get into some of the product stuff that you guys are working on and some other things. What's your general reaction to people in your circles, inside industry and tech industry, and outside, what are you seeing a reaction to this new scale, work from home, social distancing, isolation, what are your observations? >> Yeah, you know, I think we're in for a long haul. This is going to be the new normal for quite some time. I think it's super important to check on the people you care about, and before we get into dev and tech, check on the people you care about, especially people who either aren't yet respecting the social distancing norms and impress upon them the importance that, hey, this is about you, this is about the people you care about, it's about people you don't even know, because there are plenty of people who can carry this and not even know. So definitely check on the people that you care about. And reach out to those people and stay in touch. We all need one another more than ever, right? I manage a team, and it's super important, I think, to understand how much stress everyone is under. I've got over a dozen people that report to me. Most of them have kids and families. We start out our weekly staff meeting now, and we bring the kids in. They're curious, they want to know what's going on. First five, 10 minutes of our meeting is meet the family. And that demystifies some of what we're doing, and actually keeps the other 50 minutes of the meeting pretty quiet in our experience. But it's really humanized an aspect of work from home that's always been a bit taboo. We laugh about the reporter in Korea whose kid and his wife came in during the middle of a live on-air interview. There's certainly, I've worked from home for almost 12 years, like, those are really uncomfortable situations. Until about a month ago, when that just became the norm. And from that perspective, I think there's a humanization that we're far more understanding of people who work from home now than ever before. >> It's funny, I've heard people say, you know, my wife didn't know what I did until I started working at home. And comments to seeing people's family, and saying, wow, that's awesome, and just bringing a personal connection, not just this software mechanism that connects people for some meeting, and we've all been on those meetings. They go long, and you're sitting there, and you're turning the camera off so you can sneeze. All those things are happening. But when you start to think about, beyond it being a software mechanism, that it's a social equation right now. People have shared experiences. It's been an interesting time. >> Yeah, and just sharing those experiences. We do a think internal on our Slack channel every day. We try to post a picture. We call it hashtag recess, and at recess we take a picture of walking the dogs, or playing with the kids, or gardening, or whatever it is, going for a run. Again, just trying to make the best of this, take advantage of, you know, it's hard working from home, but trying to take advantage of some of those once in a lifetime opportunities we have here. And my team has started pub quiz on Fridays, so we're mostly spread across, in the U.S., so we're able to do this at a reasonable hour, but the last couple of Fridays, we've jumped on a Zoom, downloaded a pub trivia game, most of us a crack a beer, or glass of wine, or a cocktail, and you know, it's just, it actually puts a punctuate mark on the end of the week, puts a period on the end of the week. Because that's the other thing about this, man, if you don't have some boundaries, it's easy to go from an eight or nine hour normal day to 10, 12, 14, 16 hour days, Saturday bleeds into Sunday bleeds into Monday, and then the rat race takes over. >> You got to get the exercise. You have a routine. That's my experience. What's your advice for people who are working at home for the first time? Do you have any best practices? >> I actually had a blog post on this about two weeks ago and put up almost a shopping list of some of the things that I've assembled here in the work from home environment. It's something I've been doing since 2008, so it's been there for a good long while. It's a little bit hard to accumulate all the technology that you need, but I would say, most important, have a space, some kind of space. Some people have more room or less, but even just a corner in a master bedroom with a standup desk, some space that is your own, that the family understands and respects. The other best practice is set some time boundaries. I like to start my day early. I'll try to break more a little bit for that recess, see the family some, and then knock off at a reasonable hour, so establish those boundaries. Yeah, I've got a bunch of tips in that blog post I can shoot you after this, but it's the sort of thing that, be a bit understanding, too, of other people in this situation for the first time, perhaps. So you know, offer whatever help and assistance you can, and be understanding that, man, things just aren't like they used to be. >> That's great advice. Thanks for the insights. Want to get to something that I see happening, and this always kind of happens when you see these waves where there's a downturn, or there's some sort of an event. In this case it's catastrophic in the way it vectored in like this and the impact that we just discussed. But what comes out of it is creativity around entrepreneurial activity, and certainly reinvention, businesses reforming, retrenching, resetting, whatever word, pivot, digital transformation, there's plenty of words for it. But this is the time where people can actually get a lot done. I always comment, in my last interview I did, you know, Shakespeare wrote Macbeth when he was sheltering in place, and Isaac Newton invented calculus, so you can actually get some work done. And you're starting to see people look at the new technology and start disrupting old incumbent markets, because now more than ever, things are exposed. The opportunity of recognition becomes clearer. So I wanted to get your thoughts on this. You're a product person, you've got a lot of product management skills, and you're currently taking this DevOps to financial market with fintech and your business, so you're applying known principles and software and tech and disrupting an existing industry. I think this is going to be a common trend for the next five years. >> Yeah, so on that first note, I think you're exactly right. There will be a reckoning, and there will be a ton of opportunities that come out of this for the already or the rapidly transformed digital native, digital focused business. There will be some that survive and thrive here. I think you're seeing a lot of this with the popularity of Zoom that has spiked recently. I think you're going to see technologies like DocuSign being used in places that, some of those places that still require wet signatures, but you just can't get to the notary and sign a, I don't know, a refi on your mortgage or something like that. And so I think you're going to see a bunch of those. The biggest opportunities are really around our education system. I've got two kids at home, and I'm in a pretty forward thinking school district in Austin, Texas, you know, but that's not the norm where our teachers are conducting classes and assignments over Zoom. I've got a kindergartener and a second grader. There's somewhat limits to what they can do with technology. I think you're going to see a lot of entrepreneurial solutions that develop in that space, and that's going to go from K through 12, and then into college. You think about how universities have had to shift and cancel classes, and what's happening with graduation. I've got a six and an eight year old, and I've been told I need to save $200,000 apiece for each of them to go to college, which is just an astounding number, especially to someone like me, who went to an inexpensive public university on a scholarship. Saving that kind of money for college, and just thinking about how much more efficient our education system might be with a lot more digital, a lot more digital education, digital testing and classes, while still maintaining the college experience, what that's going to look like in 10 years. I think we're going to see a lot of changes over these next 18 months to our educational system. >> Dustin, talk about the event dynamics. Physical events don't exist currently. Certainly, when they do come back, they should, and they will, the role of the virtual space is going to be highlighted and new opportunities will emerge. You mentioned education. People learn, not just for school, whether they're kids, whether they're professionals, learning and collaboration, work tools are going to reshape. What's your take on that marketplace, because we got to do virtual events. You can't just replicate a physical event and move it to digital. It's a complex system. >> Yeah, you're talking about an entire industry. We saw the Google Events, Google Next, Google IO, the Microsoft Events, just across the, I'm here in Austin, Texas, all of South by Southwest was canceled, which is just, it's breathtaking. When does that come back, and what does it look like? Is it a year or two or more from now? Events is where I spend my time, and when I get on a plane, and I fly somewhere, I'm usually going to a conference or trade show. Think about the sports industry. People who get on a plane, they go to an NFL game. John, I don't have all the answers, man, but I'm telling you, that entire industry is rapidly, rapidly going to evolve. I hope and pray that one day we're back to a, I can go back to a college football game again. I hope I can sit in a CUBE studio at a CUBE Con or an Open Stack or some other conference again. >> Hey, we should do a rerun, because I was watching the Patriots game last night, Tom Brady beating the Chiefs, October from last year. It was one of the best games of the season, went down to the wire, and I watched it, and I'm like, okay, that's Tom Brady, he's still in the Patriot uniform on the TV. Do we do reruns? This is the question. Right now, there's a big void for the next three months. What do we do? Do we replay the highlights from the CUBE? Do we have physical get togethers with Zoom? What's your take on how people should think about these events? >> Yeah, you know, the reruns only go so far, right? I'm a Texas Aggie, man. I could watch Johnny Football in his prime anytime. But I know what happened, and those games are just not as exciting as something that's a surprise. I'm actually curious about e-sports for the first time. What would it look like to watch a couple of kids who are really good at Madden Football on a Playstation go at it? What would other games that I've never seen look like? In our space, it's a lot more about, I think, podcasts and live content and staying connected and apprised of what's going on, making-- Oh, we locked up there for a second. It's, I think it's going to be really interesting. I'm still following you guys. I certainly see you active on social media. I'm sort of more addicted than ever to the live news, and in fact, I'm ready to start seeing some stuff that doesn't involve COVID-19, so from that perspective, man, keep churning out good content, and good content that's pertinent to the rest of our industry. >> That's great stuff. Well, Dustin, take a minute to explain what you're doing at Apex Clearing, your mission, and what are you guys excited about. >> Yeah, so Apex Clearing, we're a fintech. We're a very forward-focused, digitally-focused fintech. We are well positioned to continue servicing the needs of our clients in this environment. We went fully remote the first week of March, long before it was mandatory, and our business shifted pretty seamlessly. We worked through a couple of hiccups, provisioning extra VPN IP addresses, and upgrading a couple of service plans on some of the softwares, the service we buy, but besides that, our team has done just a marvelous job transitioning to remote. We are in the broker, dealer, and registered advisor space, so we provide the clearing services, which handles stock trades, equity trades, in the back end, and the custodial services. We actually hold, safeguard, the equities that our correspondents, we call our clients correspondents, their retail customers end up holding. So we've been around in our current form since about 2012. This was a retread of a previous company that was bought and retooled as Apex Clearing in 2012. Very shortly after that, we helped Robinhood, Wealthfront, Betterment, a whole bunch of really forward-looking companies reinvent what it meant to buy and sell and trade securities online, and to hold assets in a robo advisor like Betterment. Today, we are definitely well-known, well-respected for how quickly and seamlessly our APIs can be used by our correspondents in building really modern e-banking and e-brokerage experiences. >> So you guys-- >> So that went-- >> Are you guys like a DevOps platform-- >> We're more like software as a service for fintech and brokerage. So our products are largely APIs that our correspondents use their own credentials to interact with, and then using our APIs, they can open accounts, which means get an account number from the systems that allows them to then fund that account, connect via ACH and other bank connectivity platforms, transfer cash into those accounts, and then start conducting trades. Some of our correspondents have that down to a 60-second experience in a mobile app. From a mobile app, you can register for that account, if you need to, take a picture of an IED, have all of that imported, add your tax information, have that account number associated with your banking account, move a couple hundred dollars into that banking account, and then if the stock market's open, start buying and selling stock in that same window. >> Great, well, I wanted to talk about this, because to the earlier bigger picture, I think people are going to be applying DevOps principles, younger entrepreneurs, but also, reborn, if you will, professionals who are old school IT or whatever, moving faster. And you wrote a blog post I want to get your thoughts on. You wrote it on April second. How we've adapted Ubuntu's time-based release cycles to fintech and software as a service. What is that all about? What's the meaning behind this post? You guys are doing something new, unique, or-- >> To this industry and to many of the people around me, even our clients and customers around me, this is a whole new world. They've never seen anything like it. To those of us who have been around Linux, open source, certainly Ubuntu, Open Stack, Kubernetes, it's just standard operating procedures. There's nothing surprising about it, necessarily. But either it's some combination of the financial services world, just the nature of proprietary software, but also the concept of software as a service, SaaS, which is very different than Ubuntu or Kubernetes or Open Stack, which is released software, right. We ship software at the end of an Ubuntu cycle or a Kubernetes cycle. It's very different when you're a software as a service platform, and it's a matter of rolling out to production some changes, and those changes then going live. So, I wrote a post mainly to give some transparency, largely to our clients, our correspondents. We've got a couple hundred customers that use the Apex platform. I've met with many of them in a sort of one-on-many, one-to-one, one-on-many basis, where I'll show up and deliver the product road map, a couple of product managers will come and do a deep dive. Part of what we communicate to those customers is around, now, around our release cycles, and to many of them, it's a foreign concept that they've just never seen or heard before, and so I put together the blog post. We shared it internally, and educated the teams, and it was well-received. We shared it externally privately with a number of customers, and it was well-received, and a couple of them, actually a couple of the Silicon Valley based customers said, hey, why don't you just put this out there on Medium or on your blog or under an Apex banner, because this actually would be really well-received by others in the family, other partners in the family. So I'm happy to kind of dive into a couple of the key principles here, and we can sort of talk through it if you're interested, John. >> Well, I think the main point is you guys have a release cycle that is the speed of open source to SaaS, and fintech, which again, proprietary stuff is slower, monolithic. >> Yeah, the key principle is that we've taken this, and we've made it predictable and transparent, and we commit to these cycles. You know, most people maybe familiar with Ubuntu releasing twice a year, right, April and October, Ubuntu has released every April and October since 2004. I was involved with Ubuntu between 2008 and 2018 as an engineer, an engineering manager, and then a product manager, and eventually a VP of product at Canonical, and that was very much my life for 10 years, oriented around that. In that time, I spent a lot of time around Open Stack, which adopted a very similar model. Open Stack's released every six months, just after the Ubuntu release. A number of the members of the technical team and the committee that formed Open Stack came out of either Ubuntu or Canonical or both, and really helped influence that community. It's actually quite similar in Kubernetes, which developed independent, generally, of Ubuntu. Kubernetes releases on a quarterly basis, about every three months, and again, it's the sort of thing where it's just a cycle. It happens like clockwork every three months. So when I joined Apex and took a look at a number of the needs that we had, our correspondents had, our relationship managers, our sales team, the client-facing people in the organization, one of the biggest items that bubbled straight to the top is our customers wanted more transparency into our road maps, tighter commitments on when we're going to deliver things, and the ability to influence those. And you know what, that's not dissimilar from any product managers plight anywhere in the industry. But what I was able to do is take some of those principles that are common around Ubuntu and Kubernetes and Open Stack, which by the way, are quite familiar. We use a lot of Ubuntu and Kubernetes inside of Apex, and many of our correspondents are quite familiar with those cycles, but they'd never really seen or heard of a software as a service, a SaaS vendor, using something like that. So that's what's new. >> You've got some cycles going now. You've got schedules, so just looking here, just to get this out there, 'cause I think it's data. You did it last year in October, November, mid-cycle in January of this year. You've got a couple summits coming up? >> Yeah, that's right, we've broken it down into three cycles per year, three 16-week cycles per year. So it's a little bit more frequent than the twice a year Ubuntu, not quite as frenetic as the quarterly Kubernetes cycles. 16 weeks time three is 48. That leaves us four weeks of slack, really to handle Thanksgiving and Christmas and end of year holidays, Chinese New Year, whatever might come up. I'll tell you from experience, that's always been a struggle in the Ubuntu and Open Stack and Kubernetes world, it's hard to plan around those cycles, so what we've done here is we've actually just allocated four weeks of a slush fund to take care of that. We're at three 16-week cycles per year. We version them according to the year and then an iterator. So 20A, 20B, 20C are our three cycles in 2020, and we'll do 21A, B, and C next year. Each of those cycles has three summits. So to your point about we get together, back in the before everyone stopped traveling, we very much enjoyed twice a year getting together for CUBE con. We very much enjoyed the Open Stack summits and the various Ubuntu summits. Inside of a small company like ours, these were physical. We'd get together in Dallas or New York or Chicago or Portland, which is the four places we have offices. We were doing that basically every six weeks or so for one of these summits. Now they're all virtual. We handle them over Zoom. When they were physical, we'd do the summit in about three days of packed agendas, Tuesday, Wednesday, Thursday. Now that we've gone to virtual, we've actually spread it a little bit thinner across the week, and so we've done, we've poked some holes in the day, which has been an interesting learning experience, and I think we're all much happier with the most recent summit we did, spreading it over the course of the week, accounting for time zones, giving ourself, everyone, lunch breaks and stuff. >> Well, we'll have to keep checking in. I want to certainly collaborate with you on the virtual digital, check your progress. We're all learning, and iterating, if you will, on the value that you can do with these digital ones. Try to get that success with physical, not always easy. Appreciate, and you're looking good, looking good and safe. Stay safe, and great to check in with you, and congratulations on the new opportunity. >> Yeah, thanks, John. >> Appreciate it. Dustin Kirkland, chief product officer at Apex Clearing. I'm John Furrier with the CUBE, checking in with a remote interview during this time when we are getting all the information of best practices on how to deal with this new at-scale, the new shift that is digital, that is impacting, and opportunities are there, certainly a lot of challenges, and hopefully, the healthcare, the finance, and the business models of these companies can continue and get back to work soon. But certainly, the people are still sheltered in place, working hard, being creative, be the coverage here in the CUBE. I'm John Furrier, thanks for watching. (bright electronic music)

>> From the heart of Silicon Valley, it's theCUBE! Covering Comcast Innovation Day. Brought to you by Comcast. >> Hey welcome back, get ready, Jeff Frick here with theCUBE, we're at the Comcast Silicon Valley Innovation Center, here in Sunnyvale, California. They had a really cool thing today, it was a customer experience day, brought a bunch of Comcast executives and a bunch of thought leaders in the customer experience base. We're excited to come down and sit in and talk to some of the guests, and really excited about our next guest, 'cause he's an anthropologist, he's Brian Solis, digital analyst, author, analyst, anthropologist, futurist, Brian, you've got it all going on, thanks for taking a few minutes of your day. >> Course, this is a really great conversation, so, I'm happy to be here. >> So first off, just kind of impressions of the conversation earlier today, talking about customer experience, the expectation, consumerization of IT is something we talk a lot about, where people's expectations of the way this stuff is supposed to work, change, all the time, and what was magical and almost impossible, like talking on a cell phone in your car, suddenly becomes expected and the norm, so how do you think of this, as you look at these big, sweeping changes that we're going through? >> Well today's conversation I think has been sort of, a spotlight on what's most important, which is innovation not for the sake of innovation, but innovation for the sake of pushing the customer experience forward, changing customer behaviors in a way that's going to create a new standard for experiences, and that way you become the leader in engagement. Everybody else has to catch up to you, and what was so important is that we're here at a company with all the love that wasn't the best in customer experience several years ago, and now they're sort of one of the pioneers in what customer experience needs to be, from a technological standpoint, a customer service standpoint, and an overall experience standpoint, right? >> I want to jump into the voice capability specifically, because I don't think there's really enough accolades as to what Comcast has achieved with the voice remote, I think if you don't have it you don't know it's there, and the ability to migrate across hundreds or thousands of channels, multiple services, to find the show that you want with just the ask of your voice is amazing. What's even more amazing is trying to teach people to actually navigate that way, so changing people's behavior in the way they interact with devices is not a simple thing. >> So, it's come up, and it's an expression shared in many UI and UX circles, which is the best interface is no interface, and in many ways, voice was the next frontier, that's a frontier that was pioneered, I think at a mass level by Amazon and Alexa, Apple and Siri, Google and Ok Google, we're really starting to see that voice as a UI is much more natural, what makes it so complex is all of the back end, I think Comcast has done a really nice job in the simplistic linguistic engagement of saying the name of a TV show or a genre of shows or movies, and then the back end to be reimagined in order to bring you something that's not just this long list of stuff, that is much more intuitive and helps you get to what they call time to joy, much faster. That's game changing, right, but that isn't just something that Comcast looked, for example, to just Alexa, or anything specifically, it looked, and also, especially not to other cable companies. They looked to the best-in-class experiences in every area, to pick those parts and build something altogether new that becomes the new standard, and I think voice, one of the things that you and I were talking about, Jeff, earlier, was kids, there was a time when they would walk up to a screen and they still do to some regard, where they want to do this, but I have a three year old at home who has a toy remote control, and I had to record video from afar of just watching her talk into her toy remote, "Mickey Mouse Club, Mickey Mouse Club," and just sitting there, with all the patience in the world, nothing was happening but expecting that something was going to happen. And it's just a new standard. The other thing, though, is that we're not done, we now live in an era of AI, machine learning, automation, so personalization now is really going to start to build upon voice experiences where it's just simply turning on the TV is going to give you instant options of all of the things you're most likely going to want to watch all on one nav. >> Right, it's just, we say that and yet we still have qwerty keyboards, right, which were specifically designed to slow people down and yet now we're not using arm typewriters anymore, and we still have qwerty keyboards, so changing people's behavior is not easy, and it's interesting to see kind of these generational shifts based on the devices in which they grew up using, kind of define the way in which they expect everything else to work. But it's, I still get the email, maybe, or even, they talked about here at Comcast, where instead of just saying NCAA Football, it knows I like to watch Stanford football, it suggests, maybe you should just say Stanford football, so there's still kind of a lot of education, surprising amount of education that has to happen. >> Yes and no, if you think about the conversation, I often talk about it in terms of iteration and innovation, iteration is doing the same things better, innovation is creating new value, and if you look at the evolution of the remote control, I mean just go back 50 years, it has gotten progressively worse over time, in fact on average, today's remote control has 70 buttons on it, and if you think about iteration in that regard, we've completely started to fail in the user interface, I don't know that anybody has mastered their relationship with the remote control except for some geeks, so I think if anything, voice is going to change the game for the better. >> Yeah, I was in the business for a long time, and now I know what killed the VCR, right, was the flashing 12, nobody could ever get their flashing 12, and for all the young people, look it up on the internet, you'll figure out what a VCR and a flashing 12 is. So you talk about something called Generation C, what is Generation C, why should we be paying attention? >> Look, I think voice is a good example of Generation C, so anybody who uses, you mentioned qwerty, right, I don't know that I've actually even used qwerty in a sentence in a really long time, but I'm old enough to, I trained on a manual typewriter back in the day, so it doesn't mean that I don't get it, it means that my behaviors and my expectations as a human being have changed, because of my relationship, my personal relationship, so for example, in consumerization of technology and IT, my personal relationship has changed with technology, and so what I had found in my research over the years was especially when it comes to customer experience, if you study a customer journey, and you look at demographics of these personas that we've created, you can see specifically that people who live a mobile-first lifestyle, regardless of age, will make decisions the same way, they're increasingly impatient, they're demanding, they're self-centered, I call 'em accidental narcissists, they, time, convenience are really important, they want personalization, their standards are much different than the personas that we've developed in the past, and so I gave it a name, which is Generation C, because it wasn't one, where C stood for connected, it wasn't one bound by age, or traditional demographics, education, income, it was defined by shared interests, behaviors, and shared outcomes, and it was a game changer for all things, if you're going to point innovation or customer experience or whatever it is, and you're going to aim at that growing customer segment, then they're going to have a different set of needs than your traditional customer, right? >> But it's so bizarre, again, how quickly the novel becomes expected baseline, and how the great search algorithm that we get out of Google, which is based on lots and lots and lots and lots of data, and a bunch of smart people and a whole bunch of hardware and software, suddenly now we expect that same search result if we're searching on, pick some random retailer or some other random website, when in fact, that is special, but we have this crazy sliding scale of what's expected and how can companies stay out in front of that, at least chase close behind, 'cause it's a very different world in how fast the expectations change. >> I'm sorry, I totally spaced out 'cause my attention span went away. I'm just kidding, I'm kidding. >> Well I didn't even get to the attention economy question yet. >> It's, you're competing at a much different level today, and I think that's what so disruptive for companies, is that they're still thinking that momentum and progress and experience and performance and success, I have to say that success is the worse teacher when it comes to innovation because you're basing your decisions on the future based on things that you did in the past. So what do companies need to get, is that the customers change, I'll give you an example. I think in many ways, companies compete against Uber, right, because Uber has changed the game for what it takes to get a service brought to you, and to give it to you and take you where you need to go, where time and convenience are big factors of that. So for example, one of the things I studied was how long is too long to wait for an Uber before you open Lyft in certain markets, and the reason that I wanted to do that was I wanted to show that the number went down every single year. Now, for example, Uber will advertise in Sydney that the average pickup time is three minutes and 39 seconds, because it knows it adds a competitive advantage over everybody else, because it's important, because once that experience happens to you and you get something your way fast, you're not going to suddenly realize, when you're at the Department of Motor Vehicles, that "Well, I understand that this isn't Uber, "and therefore I shouldn't expect "to have things done at a much more efficient "and personal manner." You take that mindset subconsciously to everything you do, so while it's a threat, it's also an opportunity, but you got to break that executive mindset to say, "How can we take "best-in-class experiences across the board, "and how can we apply it to what we do?" >> Yeah, again, an interesting concept in the conversation earlier today, where there was a question about ROI, and you threw it back as ROE, return on experience, so how should people start to adjust their thinking, because the thing on, return on investment implies almost a very small kind of direct impact, kind of one to one benefit, where really, return on experience implies a much broader, kind of accidental benefits, benefits across a lot of parameters that you may or may not necessarily be measuring, it's a very, a much better way to measure your investment. >> Look, it's almost impossible to get away from the ROI conversation, it's important, executives have to make decisions based on what they know the outcomes are going to be, a lot of this is, you don't know what you don't know, and so if you can tie some types of rudimentary metrics that are going to show progress and also return, it helps, but at the same time, I always say, what happens in the ROI equation if I equals ignorance, what's the return of ignorance? What's the return of not doing something, and so what I tried to demonstrate in a book I wrote about experience design, which was called X, it was, let's break it down to what we're actually trying to do, the word experience actually means an emotional reaction to a moment, and so for example, in a high sales pitch situation like a dealership for an automobile, that's not a good experience. If you have to call customer service, you've probably not had a good experience, and all of those things are emotional, so if you can design for emotional outcomes, where people are going to feel great in the moment and feel great afterwards, that is a metric that you can have a before and after state. The likelihood of attaching that emotion to things like loyalty, customer lifetime value, growth, then you can get to your ROI in a different way, but you have to first do it with intention. >> Yeah, Brian, fascinating conversation, we could go all day, but unfortunately, we're going to have to leave it there, but thanks for joining today, and thanks for spending a few minutes with us. >> Thank you, thank you, it was a pleasure. >> Absolutely, he's Brian, I'm Jeff, you're watching theCUBE, we're at the Comcast Innovation Center in Sunnyvale, thanks for watching, we'll see you next time. (techno music)

>> Of Silicon Valley. It's the Cube, covering Comcast innovation day brought to you by Comcast. >> Hey, welcome back everybody, Jeff Frick here with the cube. We're at the Comcast Silicon Valley Innovation Center. It's a really cool space right off of Buffet. And they're doing a lot of new technologies here. It's not the only Innovation Center in the country but it's one here in our backyard. And we're excited to be here. Comcast is having a special event talking about really CX, customer experience. They brought together a bunch of super smart people invited us to stop by and we're going to share some of that with you. And we're excited for our very first guest he's Preston Smalley, the VP of product management of Comcast, Preston great to meet you. >> Good to meet you too, Jeff. >> So really cool event today. We talked about a lot of different things about customer experience and really all the applications that are on the front edge that define that customer experience. And you guys are doing a ton of innovation there. >> No, we are I mean I think it's, we were talking just this morning about all the different ways that we're trying to meet customers, where they're at and building products really around those needs, right? >> Yes, so I think the one of the ones that doesn't get enough credit not enough conversation is the voice. And I've got the voice remote at home. And it's really fascinating, especially in the context of there's so many places that what I'm looking for might be and I don't really know what the licensing and arrangements are that you guys have set up with Hulu or with Netflix or with HBO or if it's on HBO on demand or HBO live. So to be able to have kind of a single point of reference to just push that button and say, "Stanford football," and have it show up, it's amazing. >> No, it really is and I think you know, the voice remote has been one of those big hits where you know, people always love their TV remote but, you know, a number years back we started exploring, could we put a voice you know, search capability directly into that remote. And I think what's great is people they're really leaning into it. So we're seeing a billion voice commands happening a month, >> Billion? >> A billion, one b. Through the remote and I think it's just become a part of their life. Right? And I think it's everything from the simple to saying NBC into the remote to the more complicated things like Notre Dame football or what's my WiFi password? or whatever the things they might be asking out of their device. >> So curious on the development side was like about features, but what were some of the real hurdles that you guys knew you had to overcome? And what were some of the surprise hurdles that you didn't necessarily anticipate? >> Sure. I mean, I think the ones you knew about were we've got to be able to translate speech to text and you know, there's there's existing infrastructure that allows for that and doing that with high accuracy. But the good news is we actually had a head start in organizing the content. And so we already had dealt with text based searching of all the different TV shows and movies and such. And so we had all that base of knowledge that we could then tap into. We're now at a stage where that kind of covers the basics but we're trying to understand how do you both increase the breadth and depth of the kinds of commands that you will do through the voice remote. And so you mentioned some at the beginning things like being able to search, not just the content that we bring but things like Netflix or Amazon Prime or soon Hulu. And so partnering with those companies, you get all that information in a way that works very well with the voice remote. >> Right and then you even have it bilingual, right? You even have Spanish and English. >> That's right. >> And it can flip it can switch back and forth on the fly. >> That's right, yeah, so we support both those languages, including a combo a mixed mode where in households where you're seeing both Spanish and English be interwoven, it'll actually even work in those contexts. And then recently, we've also introduced Canadian French and so we license our technology to Rogers and video Tron up in Canada. And so we've now introduced that capability as well. >> That's great, So a long time ago we interviewed Domino's and it's when they first introduced app ordering. And at first you think well app ordering but there was all this like second order benefits that Domino's replied in terms of accuracy of the orders and supply chain impact. So I'm curious if there's some, you know, kind of second order benefits that you guys are realizing with voice that maybe you didn't think, you know, what are some of the surprises that have come out of that? >> Well, that's a good, good question. I think in terms of surprises, it's the types of things that people are looking for you now have, you now have the ability to figure out what kinds of things people are interested in which you wouldn't have been able to know in a typical browse setting. So for example, we support now over 150 apps on X1 as far as third party streaming apps but we know the ones that we don't support because people are saying and into the remote, whereas we wouldn't have got that information prior. >> Right. >> And so now we can actually go and try and meet those needs. >> Now ,it's interesting. You talk about meeting people where they are and you know, one of the things that's happening today is people have all these options, right? They can get it through their Comcast service if they're doing that but you know they may want to have a direct relationship with Hulu is one that you picked out or with Netflix or this historical ones, you guys now are enabling an option for those people that choose to directly engage with those content providers and just use Comcast, as an internet provider. Tell us a little bit about what you guys are doing there. >> Yeah, sure. So obviously, we've had strength in the, in the TV space, and being able to organize and aggregate all that streaming content with your traditional television content. What we've done now is take that investment in X1 and pivot it into a new product this year, we call Xfinity flex. And what that product does is it's a streaming device that should be comfortable for an internet only subscriber that they hook up to their TV. It's 4K, HDR, wireless. And through that device, they're able to aggregate all of that streaming content in one place. So whether it's app content that they may already have an existing subscription from or it's ad supported internet content or maybe they want to buy some more content from us right? And so we'll bundle and sell those subscriptions directly and include that as well. And we've actually been pretty surprised, you know, you take something like Netflix which is highly penetrated in the United States we're pretty surprised how many people are still signing up new as a Netflix subscriber in our service and so by just making it easy and just one click away we found that people are they're opting to do that. >> Right, I'm sure they're happy to hear that in Los Gatos just down the road >> Exactly. No, they're a great partner and either way we're helping them >> Right, right >> They're trying to reach what they call kind of the Netflix nevers people that maybe just hadn't gotten Netflix prior, right? And so we're helping them with that. >> Well, it's really interesting, you know, kind of the you know, kind of TV versus computer you speeding the TV's kind of your passive experience, you're sitting on the couch and you just kind of watching where the computer was more two way and then there was dual screen kind of activity, but you guys are bringing a lot of the stuff that was only available on your pc or your phone now directly into the Comcast experience, you know whether it's YouTube or whatever. So it really it's kind of blurring those lines. But I want to shift gears a little bit about, you know, kind of the role of the internet in homes today, has now expanded beyond entertainment. It's expanded beyond information and IoT now is entering the home probably the biggest one is nested, connected thermostats and connected door bells and ring and you know, we're seeing videos from people's rings all over the place. You guys are sitting again, right in the middle of that ecosystem. So how does IoT and connected devices and thermostats and refrigerators and doorbells impacted the way you guys think about delivering internet into the home? >> Well, I think it's really been a watershed moment for the company, moving from, if you go years back to bringing internet to the wall and making it available in the home to saying look, we've got to actually really control the coverage of that WiFi in the home and make sure that it reaches all the corners of the home but then also providing the control that people want of the devices in there we know that for power users we're seeing today, 20 connected devices on the home network. And I know my house, I'm up to 50, right? And I think what customers don't have and don't want is an IT person directly in their home. They want it to just work naturally and easily. >> Right. >> And so one measurement of success that I know is how often my mother in law gives me a call saying, "Hey, Preston, yeah, this thing's not working in my house." It's got to be really easy and straightforward. >> Right and then just in terms of just being a backhauler and the internet traffic that you guys are hearing because all those connected device or your kids devices, they all want 4k streaming, they're watching movies, you know, come down and watch TV on the big screen, no, no, no, you know, I'm watching it in the room. How does that kind of change the way you guys think about delivering bandwidth cause 4K is a lot more, go to NAB, you're just going to soon be 8K's and 12K's and all kinds of crazy stuff. So your role in actually just delivering bandwidth has changed significantly over the last over a year. >> Absolutely, I mean, there was a stat on bandwidth that surprised me even just to look at it, which is in, in the last 18 years, Comcast has increased bandwidth 17 times. And it's just every, you know, we just keep increasing that because the demand is there, you know, 4K takes, you know, more than your 1080p then did your SD and the more streaming that's happening, it's just, it's requiring more bandwidth, so we're happy to provide that. You know, we now offer one gig internet across all of our homes, we reached 56 million homes, I think it's the most in the United States as far as one gig availability. And so regardless of how much bandwidth you want to take, we're going to bring that to you. And I think recognizing that we also need that coverage in the home and out of the home through Xfinity WiFi hotspots, just trying to bring that there. But you mentioned kids too, I wanted to build on that which is, you know, I'm a parent and being able to control how and where my kids go in the internet is important. And so, you know, being able to put limits, whether it's bed time limits on their devices or we've recently introduced in our testing app base limits. So you could say they can't use Instagram or they can only use it 30 minutes a day. And so being able to have that kind of control puts you in the driver's seat as the parent of kids in the home. >> Preston, I think you're going to be busy for a little while here at the innovations center. >> We are for sure. >> All right, well, thanks for spending a few minutes we could talk all day but we'll have to leave it there. >> All right, thanks Jeff. >> Thanks a lot. He's Preston, I'm Jeff. You're watching the cube. We're at the Comcast Silicon Valley Innovation Center in Sunnyvale. Thanks for watching, we'll see you next time. (distinct music)

>> From Cambridge Massachusetts, it's The Cube covering MIT Chief Data Officer, and Information Quality Symposium 2019. Brought to you by SiliconANGLE Media. (electronic music) >> Welcome back to MIT in Cambridge, Massachusets everybody. You're watching The Cube, the leader in live tech coverage. My name is Dave Vellante I'm here with Paul Gillin. Day two of the of the MIT Chief Data Officer Information Quality Conference. One of the things we like to do, at these shows, we love to profile Boston area start-ups that are focused on data, and in particular we love to focus on start-ups that are founded by women. Julie Johnson is here, She's the Co-founder and CEO of Armored Things. Julie, great to see you again. Thanks for coming on. >> Great to see you. >> So why did you start Armored Things? >> You know, Armored Things was created around a mission to keep people safe. Early in the time where were looking at starting this company, incidents like Las Vegas happened, Parkland happened, and we realized that the world of security and operations was really stuck in the past right? It's a manual solutions generally driven by a human instinct, anecdotal evidence, and tools like Walkie-Talkies and video cameras. We knew there had to be a better way right? In the world of Data that we live in today, I would ask if either of you got in your car this morning without turning on Google Maps to see where you were going, and the best route with traffic. We want to help universities, ball parks, corporate campuses do that for people. How do we keep our people safe? By understanding how they live. >> Yeah, and stay away from Lambert Street in Cambridge by the way. >> (laughing) >> Okay so, you know in people, when they think about security they think about cyber, they think about virtual security, et cetera et cetera, but there's also the physical security aspect. Can you talk about the balance of those two? >> Yeah, and I think both are very important. We actually tend to mimic some of the revolutions that have happened on the cyber security side over the last 10 years with what we're trying to do in the world of physical security. So, folks watching this who are familiar with cyber security might understand concepts like anomaly detection, SIEM and SOAR for orchestrated response. We very much believe that similar concepts can be applied to the physical world, but the unique thing about the physical world, is that it has defined boundaries, right? People behave in accordance with their environment. So, how do we take the lessons learned in cyber security over 10 to 15 years, and apply them to that physical world? I also believe that physical and cyber security are converging. So, are there things that we know in the physical world because of how we approach the problem? That can be a leading indicator of a threat in either the physical world or the digital world. What many people don't understand is that for some of these cyber security hacks, the first weak link is physical access to your network, to your data, to your systems. How do we actually help you get an eye on that, so you already have some context when you notice it in the digital realm. >> So, go back to the two examples you sited earlier, the two shooting examples. Could those have been prevented or mitigated in some way using the type of technology you're building? >> Yeah, I hate to say that you could ever prevent an incident like that. Everyone wants us to do better. Our goal is to get a better sense predicatively of the leading indicators that tell you you have a problem. So, because we're fundamentally looking at patterns of people and flow, I want to know when a normal random environment starts to disperse in a certain way, or if I have a bottle neck in my environment. Because if then I have that type of incident occur, I already know where my hotspots are, where my pockets of risk are. So, I can address it that much more efficiently from a response perspective. >> So if people are moving quickly away from a venue, it might be and indication that there's something wrong- >> It could be, Yeah. That demands attention. >> Yeah, when you go to a baseball game, or when you go to work I would imagine that you generally have a certain pattern of behavior. People know conceptually what those patterns are. But, we're the first effort to bring them data to prove what those patterns are so that they can actually use that data to consistently re-examine their operations, re-examine their security from a staffing perspective, from a management perspective, to make sure that they're using all the data that's at their disposal. >> Seems like there would be many other applications beyond security of this type of analysis. Are you committed to the security space, or do you have broader ambitions? >> Are we committed to the security space is a hundred percent. I would say the number one reason why people join our team, and the number one reason why people call us to be customers is for security. There's a better way to do things. We fundamentally believe that every ball park, every university, every corporate campus, needs a better way. I think what we've seen though is exactly what you're saying. As we built our software, for security in these venues, and started with an understanding of people and flow, there's a lot that falls out of that right? How do I open gates that are more effective based on patterns of entry and exit. How do I make sure that my staffing's appropriate for the number of people I have in my environment. There's lots of other contextual information that can ultimately drive a bottom line or top line revenue. So, you take a pro sports venue for example. If we know that on a 10 degree colder day people tend to eagres more early in the game, how do we adjust our food and beverage strategy to save money on hourly workers, so that we're not over staffing in a period of time that doesn't need those resources. >> She's talking about the physical and the logical security worlds coming together, and security of course has always been about data, but 10 years ago it was staring at logs increasing the machines are helping us do that, and software is helping us do that. So can you add some color to at least the trends in the market generally, and then maybe specifically what you're doing bringing machine intelligence to the data to make us more secure. >> Sure, and I hate to break it to you, but logs are still a pretty big part of what people are watching on a daily basis, as are video cameras. We've seen a lot of great technology evolve in the video management system realm. Very advanced technology great at object recognition and detecting certain behaviors with a video only solution, right? How do we help pinpoint certain behaviors on a specific frame or specific camera. The only problem with that is, if you have people watching those cameras, you're still relying on humans in the loop to catch a malicious behavior, to respond in the event that they're notified about something unusual. That still becomes a manual process. What we do, is we use data to watch not only cameras, but we are watching your cameras, your Wi-Fi, access control. Contextual data from public transit, or weather. How do we get this greater understanding of your environment that helps us watch everything so that we can surface the things that you want the humans in the loop to pay attention to, right? So, we're not trying to remove the human, we're trying to help them focus their time and make decisions that are backed by data in the most efficient way possible. >> How about the concerns about The Surveillance Society? In some countries, it's just taken for granted now that you're on camera all the time. In the US that's a little bit more controversial. Is what your doing, do you have to be sensitive to that in designing the tools you're building? >> Yeah, and I think to Dave's question, there are solutions like facial recognition which are very much working on identifying the individual. We have a philosophy as a company, that security doesn't necessarily start with the individual, it starts with the aggregate. How do we understand at an aggregate macro level, the patterns in an environment. Which means I don't have to identify Paul, or I don't have to identify Dave. I want to look for what's usual and unusual, and use that as the basis of my response. There's certain instances where you want to know who people are. Do I want to know who my security personnel are so I can dispatch them more efficiently? Absolutely. Let's opt those people in and allow them to share the information they need to share to be better resources for our environment. But, that's the exception not the norm. If we make the norm privacy first, I think we'll be really successful in this emerging GDPR data centric world. >> But I could see somebody down the road saying hey can you help us find this bad guy? And my kids at camp this week, This is his 7th year of camp, and this year was the first year my wife, she was able to sign up for a facial recognition thing. So, we used to have to scroll through hundreds and hundreds of pictures to see oh, there he is! And so Deb signs up for this thing, and then it pings you when your son has a picture taken. >> Yeah. And I was like, That's awesome. Oh. (laughing) >> That's great until you think about it. >> But there aren't really any clear privacy laws today. And so you guys are saying, look it, we're looking at the big picture. >> That's right. >> But that day is coming isn't it? >> There's certain environments that care more than others. If you think about universities, which is where we first started building our technology, they cared greatly about the privacy of their students. Health care is a great example. We want to make sure that we're protecting peoples personal data at a different level. Not only because that's the right thing to do, but also from a regulatory perspective. So, how do we give them the same security without compromising the privacy. >> Talk about Bottom line. You mentioned to us earlier that you just signed a contract with a sports franchise, you're actually going to help them, help save them money by deploying their resources more efficiently. How does your technology help the bottom line? >> Sure, you're average sporting venue, is getting great information at the point a ticket is scanned or a ticket is purchased, they have very little visibility beyond that into the customer journey during an event at their venue. So, if you think about again, patterns of people and flow from a security perspective, at our core we're helping them staff the right gates, or figure out where people need to be based on hot spots in their environment. But, what that also results in is an ability to drive other operational benefits. Do we have a zone that's very low utilization that we could use as maybe even a benefit to our avid fans. Send them to that area, get traffic in that area, and now give them a better concession experience because of it, right? Where they're going to end up spending more money because they're not waiting in line in the different zone. So, how do we give them a dashboard in real time, but also alerts or reports that they can use on an ongoing basis to change their decision making going forward. >> So, give us the company overview. Where are you guys at with funding, head count, all that good stuff. >> So, we raised a seed round with some great Boston and Silicon Valley investors a year ago. So, that was Glasswing is a Boston AI focused fund, has been a great partner for us, and Inovia which is Canada's largest VC fund recently opened a Silicon Valley office. We just started raising a series A about a week ago. I'm excited to say those conversation have been going really well so far. We have some potential strategic partners who we're excited about who know data better then anyone else that we think would help us accelerate our business. We also have a few folks who are very familiar with the large venue space. You know, the distributed campuses, the sporting and entertainment venues. So, we're out looking for the right partner to lead our series A round, and take our business to the next level, but where we are today with five really great branded customers, I think we'll have 20 by the end of next year, and we won't stop fighting 'till we're at every ball park, every football stadium, every convention center, school. >> The big question, at some point will you be able to eliminate security lines? (laughing) >> I don't think that's my core mission. (laughing) But, optimistically I'd love to help you. Right, I think there's some very talented people working on that challenge, so I'll defer that one to them. >> And rough head count today? >> We have 23 people. >> You're 23 people so- >> Yeah, I headquartered in Boston Post Office Square. >> Awesome, great location. So, and you say you've got five customers, so you're generating revenue? >> Yes >> Okay, good. Well, thank you for coming in The Cube >> Yeah, thank you. >> And best of luck with the series A- >> I appreciate it and going forward >> Yeah, great. >> All right, and thank you for watching. Paul Gillin and I will be back right after this short break. This is The Cube from MIT Chief Data Officer Information Quality Conference in Cambridge. We'll be right back. (electronic music)

(upbeat music) >> Hi everybody, welcome back to London. I'm Dave Vellante and you're watching theCUBE. We go out to the events, we extract the signal from the noise and we've been following AWS generally and the public sector specifically for a number of years now. We've seen the ascendancy of an expansion of public sector. We've covered the career of Teresa Carlson, and we're here in London ahead of AWS Summit London. There's a pre-day here, there's a number of public sector companies, there's a focus on healthcare. Kieron James is here, he's the founder of Wonderful.org. Wonderful.org is a fundraising vehicle, it's a really setup platform essentially for self-service. Kieron, welcome to theCUBE, thanks for coming up. >> Hello. >> So, tell me about Wonderful, why you started this organization? >> Wonderful was kicked off when I got to my 50th birthday, essentially, it's a way to give back. I've been involved in the tech sector for many years and we were sitting on quite a lot of infrastructure. We thought we had some spec paucity as well and we thought what we can do with the resource, human and physical, in terms of giving something back to charities. So, one of the things that looked like a great opportunity was to setup a completely fee-free fundraising platform. And essentially, that's what we kicked off with a brief of concept in 2016. >> So, fee-free meaning I can come in, I can setup my own fundraising vehicle so all the money goes to the recipients. >> A 100%, we have no charges whatsoever to charities, to donors, to fundraisers. And essentially, all the card processing fees as well are covered, and through the generosity of AWS and its NPO program, we've been able to also cover things like hosting as well which has been phenomenal for us, 'cause it really does enable us to give every single penny to charity. >> So, how do you fund your staff? >> The staff currently on our model going forward, if it's one that we continue, if we can continue to support is through secondment. So, we seconded our technical resource from my day job which is essentially running a telecoms business, and those guys are incredibly generous with their time. So, evenings and weekends have been devoted to setting up and maintaining the platform. We've called in favors from people we have networked with over the years. So again, when we moved beyond proof of concept into the current website now, the current build, we were able to get that done with some cost but albeit, a fraction of what we would've paid commercially. And essentially as we move forward, we want the whole concept to Wonderful.org to be something much bigger than just the organization. It's a vehicle for commercial organizations to do good. >> So, lots of in-kind contributions, lots of your time obviously so, when did you start the organization? >> 2016 and essentially, we went through what I describe as a proof of concept. We set three broad milestones, one was the first 100 charities onboard, first 100,000 pounds of a revenue or charity not really revenue but charity donations through the website. And we launched our first Wonderful week where we brought some sports celebrities including Phil Neville, now the manager of the England women's football team. He came on board to do some charity work for us with his family. Once we passed through those three milestones, it was then a case of saying, okay we've achieved all of these now, let's push the button and actually do this properly in inverted commas, and that's when we looked at hosting the thing properly, looked at the commercial build and so on. >> So that those milestones were really the prove the concept. >> Yeah. >> But they're pretty substantial milestone, >> Sure. >> And you hit them pretty fast though. >> We did hit them fast but again to give you some context on that, the first 100,000 through the website probably took us I would guess between 12 and 14 months. In the last 28 days, we've processed about a quarter of a million pounds through the website. So, the growth's been phenomenal and the appetite from the charities is enormous. What's particularly interesting about our sector is that whilst the lot of the events that take place like the London Marathon and so on, are very predictable, we know exactly the date and time that people are gonna be donating. Clearly, you get events that are completely unpredictable. We've gotta be able to respond and be available for donors to give when those kinds of things happen. >> Okay so, this leads me to the conversation about your infrastructure and obviously the Cloud. When you started the organization, you had your own owned premises infrastructure, correct? >> Correct. >> So take us through what that looked like and your decision to move to the Cloud. >> Expensive, disjointed, very complex. So, we were running essentially a full stock on a number of servers that were hosted independently. Co-location was expensive, maintenance was expensive, even things like getting to site were expensive, and if the rare occasions when you do have to do that in a hurry it can be quite time-consuming, particularly as I say given our profile where these guys are really doing it for love not money. So, it became apparent to us, I think learning from some scenarios that we've seen in the real world with other platforms as well when even the predictable events had still created some concerns for some of the charities in terms of availability. So, we've took a long hard look at what we had and said, are we scalable, are we fully available? Probably not, we need to look at this in some detail now. So, that was when we completely re-architected the website and looked at AWS. >> So, it was not only a matter of say scaling up for high demand and unpredictability but you had a fragile infrastructure. >> We did. >> And essentially, (chuckles) you're volunteers trying to keep it together. >> Exactly. >> So that's not a good formula for high availability, right? >> No, absolutely not. >> So, how does that change with the Cloud? >> With the Cloud, I think what we've got now is we've got a really good view of everything. We've got a view of the whole of our infrastructure in one place, so it gives our operations director a lot more peace of mind 'cause he can see all of the resources at his disposal. I think in terms of security, it's far far better for us as well, because we can manage access to various components, available US, depending on who needs access. So, our web developers are currently remote, they're not formally part of the organization. So, we can strict access to things that we don't want 'em to have access and so on and give them full access where it's required. So, I think that's been a lot of peace of mind for the operations director. And just having that confidence in clearly a brand that's got a huge reputation and people feel immensely confident about seeing. So, for us being to put the AWS badge on the website to reinforce to our users, to our donors that we're here, we're solid, we're stable, we're not going anywhere, it's really really important. >> Anyway, you said upfront that Adobe has some skin in the game, they're providing some services, >> They are. >> Some contributions. >> Yeah. >> So, that's gotta be pretty substantial. >> Massive. >> For you guys, yeah. >> Absolutely massive. I mean in all honesty, it's second only to card processing which is a significant cost of doing our business and one which is paid for by our other corporate sponsors. It's our second biggest cost without a doubt or would be if it were a cost but mercifully, AWS has come to the rescue and we're able to do what we're doing now. >> So corporate sponsors, give a little commercial, how does that work? >> Well essentially, our biggest corporate sponsor, our main partner at the moment is The Co Operative Bank and they have underwritten all of our card processing fees for the duration of that partnership. The big caveat with that is that we don't know what they will be and whilst we can provide some forecast based on empirical evidence, worst case scenario, there's another tragedy, people reach for their wallets and give, and suddenly that can go through the roof in the course of a couple of weeks. So, the difficulty in bringing corporate sponsors on for us is just that kind of unpredictability of the sector that we're operating in, but they've been tremendous. >> That's amazing right? >> Yeah. >> 'cause I could say that's a big junk of your cost >> For sure. >> Along with your infrastructure but, I'm fascinated by this organization and just wanna congratulate you on the mission and actually getting it off the ground because we all when we give to a charity, we always ask okay, what are the administrative cost behind this? You go to the website and you look it up and sometimes you just don't feel comfortable, and so what you've done is actually just eliminated that overhead. >> Completely. >> And where do you see this going? I mean you've got like 15 hundred registered charities now. >> Yes, yeah we're up to 15 hundred, again we've had a couple of fairly major events we were endorsed by the Money Saving Expert at number one but how could they not put us at number one. (they both laugh) Would've been very odd if they hadn't, given that we're the only completely fee-free platform. That clearly creates the demand and I think that endorsement was a huge catalyst to the growth. More recently, we've seen other things, BT MyDonate actually pulled out of this sector which has caused a lot of charities to migrate to our platform as well. In terms of where we see it going, we will need to continue to raise money from corporate sponsors to support it. But, there is a real step game in that, we have to manage that growth to meet their expectations as best as we can. But equally, new corporate sponsors coming onboard will want to see that we've got enough eyeballs to make it worth their while getting behind the organization. So, it's that constant game of trying to bring on the next round of funding and getting people through. >> How global do you see this getting? How is it today and in the future? >> Conceptually, there's no reason at all why this shouldn't be a global phenomenon but, we're now very concentrated on the UK, just because of our resource and we do get requests all of the time for international charities, for international fundraisers and so on, but we've gotta be realistic about what we can support. But going back to the point that I made earlier, it really isn't about Wonderful.org, it's about just corporations, fundraisers, charities, donors, we see all of the last three being wonderful all of the time by the nature of what they do, we're just trying to get more corporations to be as wonderful as, sounds terribly sick and fancy, but as AWS has been in supporting what we're doing, it's that sense of what we're trying to achieve here goes beyond one organization. >> Well, and the Cloud allows you to scale potentially to the extent that you can get the resource. There's no reason you can't go global. >> No. >> I'm gonna check it out and see even for a little local charity, can I (he chuckles), >> Absolutely. >> Can I participate, what does that involve? Do you have to have some minimum threshold or? >> No? >> No, anybody can-- >> Anybody, but you need to be a registered UK charity with one of the UK registrars. Beyond that, we go through a little bit of due diligence with the charity, so we will need to see some documentation. So, there's a little manual step in onboarding charities, but for all the right reasons, we wanna be diligent about the people using the platform to give the fundraisers the confidence that they're donating to a charity. So, we don't do any peer-to-peer fundraising, it is literally you'll register as a charity and the fundraisers can support your charity, often led by the fundraisers rather than the charities, interestingly, so the fundraisers will be saying to the charities, why are you not on this platform which gives you everything and you're already on this platform which doesn't. So, there's quite a lot of pressure now coming from the fundraisers to pull the charities in. >> So, there's a lot of word-of-mouth, a lot of peer-to-peer. >> Absolutely. >> Right, you don't really have the funding. >> There is no. >> The budget to go market. >> Not at all. >> Yeah, that's remote. >> Absolutely not. >> Well, hopefully this will help. >> Thank you very much. >> Thanks so much for coming to theCUBE, really appreciate your time. >> Thank you. >> Alright, thank you for watching everybody. This is Dave Vellante, you're watching theCUBE. We'll be back right after this short break from AWS HQ in London, right back. (upbeat music)

>> Live, from Las Vegas, it's the Cube, covering AWS re:Invent 2018, brought to you by Amazon Web Services, Intel, and their ecosystem partners. >> Hey welcome back everyone, live here in Las Vegas for AWS re:Invent 2018, all the action is happening for Amazon Web Services. I'm John Furrier, Dave Vellante, Dave six years covering Amazon, great opportunity, a lot of news, Red Hat is a big part of it, Mike Ferris is here. Vice President, Technical Business Development for Red Hat, welcome back, good to see you. >> Likewise. >> A lot's going with you guys since our Red Hat Summit days in San Francisco just a few months ago. >> Yeah. >> Big news hit. >> Yeah. >> The bomb around the world, the rock that hit the ground really hard, shook everyone up, surprised everyone including me, I'm like "Wow, IBM and Red Hat". What an interesting relationship, obviously the history with IBM has been good. Talk about the announcement with IBM because this is huge. Of course, big numbers, but also impact wise pretty big. >> Yeah, it's exciting times right? And if you kind of look at, you know, from the perspective of Red Hat in this, this will allow us to really scale and accelerate what we've already been doing for the past, you know, since really the 1994 era when Red Hat was founded and, you know, it kind of validates a lot of what we've put into open source and enterprise customers since then. You know, we really see a couple of key outtakes from this, one of which is, certainly it's going to give us the resources to be able to really grow with the scale that we need to. It's also going to allow us to invest more in open source in emerging areas, bring the value of scale and certainly choice and flexibility to more customers, and then ultimately kind of the global advantage of hybrid and multi cloud, we'll be able to reach more partners and customers everywhere, and it puts us several years ahead of where we have been and where we would have been frankly, and ultimately our intent is that with IBM we'll become the leading hybrid and multi cloud provider overall. >> Yeah, Jimmy and Jim Whitehurst kind of ruined our Sunday, we were sitting down to watch football and he's like got the announcement. And then Jimmy kept saying "It's not backend loaded, it's not backend loaded" and then you start to realize, wow, IBM has an enormous business of managing applications that need to be modernized and OpenShift is obviously a great place to do that so, it's got to be super exciting for you guys to have that giant new opportunity to go after as well as global scale that you didn't have before. >> And, you know, this extends the stuff that we did, announced in May at Red Hat Summit with IBM where we really focused on how do we take WebSphere DB2MQ, running on IBM cloud private, running on OpenShift, and make that the hybrid choice. And so it's a natural extension of what we've already been doing and it gives us a lot more resources than we would have otherwise. >> This is good, coming into the next segment I want to chat about is RHEL, and what people might not understand from the announcment is the synergy you guys have with IBM because, being a student of Red Hat, being just in the industry when you guys were rebels, open source, second tier citizen, and the enterprise, the adoption then became tier one service. I mean you guys have, level of service, 17 years or something, huge numbers, but remember where it all started. And then you became a tier one supplier to almost all the enterprises, so you're actually a product company as well as a huge open source player. That's powerful and unique. >> Absolutely, even if you look at kind of what Amazon is doing this week and have been doing over the years, they're a huge value ad provider of open source technology as well, and one of the statements that we've always made is, the public cloud would not exist if not for Linux and open source, and so everything has been based upon that. There's one provider that doesn't use Linux as the base of their platform but certainly as we've taken the in roads into the enterprise, you know, I was there when it started with just turning Red Hat Enterprise Linux on and then bringing it from the edge of network into the data center and talking about major providers like Oracle, HP, Del, IBM as part of that. Now, we're looking at "Is it a de facto standard?", and everyone including Amazon and all of it's competitors are really invested heavily in the open source world. >> And so, let's talk about the impact to the products, okay so one of the things that has come up, at least on my Twitter feed and the conversations is, okay, it's going to take some time to close the deal, you're still Red Hat, you're still doing your things, what's the impact to the customers and to the ecosystem in your mind? How are you guys talking about that right now? Obviously, it's more of the same, keep the Red Hat same, unique, independent, what new thing is going to come out of it? >> So, to be clear, the deal has not closed, right, so there's not a lot we're going to say otherwise. >> A year away, you got a lot of work to do. >> Our focus is what it always has been. Let's build the best enterprise products using the open source development model and make those available across all public and hybrid cloud environments. >> At a certain level, that's enterprise, multi-year, old Red Hat, same Red Hat model, alright. >> But let me follow up on that, because you're a believer in multi cloud, we're a believer in, whatever you call it, multiple clouds, customers are going to use multiple clouds. We believe that, you believe that, it seems like Amazon has a slightly different perspective on that, >> Cause they're one cloud. >> in that this greater value, right cause they're one cloud, there's greater value, but it seems like the reality when you talk to customers is, we're not just one company, we've got different divisions, and eventually we've got to bring those together in some kind of extraction layer. That's what you guys want to be, right? So, your perspectives on multi cloud? >> Absolutely, so, each individual department, each project, each developer, in all of these major enterprises, you know, has a different vantage, and yes, there are corporate standards, golden masters of RHEL that get produced, everybody's supposed to be using, but you know, the practicalities of how you develop software, especially in the age of dev ops and containers and moving forward is actually, you have to have the choice necessary to meet your specific needs, and while we will absolutely do everything we can to make sure that things are consistent, I mean, we started this with RHEL consistency, on and off premise, when we did the original Amazon relationship. The point is, you need to be able to give people the flexibility and choice that they desire, regardless of what area of the company that they're in, and that's going to be the focus, regardless of whether it's Microsoft, Amazon, Google, IBM clouds, international clouds with Alibaba, it's all the same to us and we have to make sure it's there. >> What's always great about the cloud shows, especially this one, it's one of my favorites, because it really is dev ops deep in the mindset culture. As you see AI and machine learning start to get powered by all these great resources, computer, et cetera, the developer is going crazy, there's going to be another renaissance in software development, and then you got things like Kubernetes and containers now mainstream. Kubernetes almost, I say, de facto standard. >> Yeah. >> Absolutely happened, you guys had a big part of making that happen. People are now agreeing on things, so the formation's coming together pretty quickly, you're seeing the growth, we're hearing terms like "co-creation", "co-opetition", those are signals for a large rising tide, your thoughts? >> So, it's interesting, we were an early investor in Kubernetes, we actually launched OpenShift prior to Kubernetes, and then we adopted it and made a shift of our platform before it was too late. We did the same thing with hypervisors when we moved from Zen to KBM, but this overall approach is, once we see the energy happening both in the community and the early customers, then you see the partners start to come on board, it becomes the de facto standard, it's really crucial for us as an open source company to make sure we follow those trends, and then we help mature them across the business ecosystem, and that's something we've loved being able to engage with. I mean, Google certainly instigated the Kubernetes movement, but then it starts to propagate, just like on the open stack side, it came out of Rackspace and Nasa and then moved on to different areas and so, you know, our focus is, how do we continue that choice and that evolution overall? >> How would you talk about the impact of Kubernetes if someone says "Hey Mike, what's the real impact, what is it going to accomplish at the end of the day?" What's your view of that? >> It will have the same impact that the Linux current standardization has had, you know, but in this case for micro services and application packaging and being able to do dev ops much more efficiently across heterogeneous platforms. >> Does it make it easier or less painful or does it go away? Is it automated under the covers? I mean, this is a big, awesome opportunity. >> So the orchestration capabilities of Kubernetes combined with all the other tools that surround key container platforms like OpenShift, really give that developer the full life cycle environment to be able to take something from concept through deployment, and onto the maintenance phases, and you know, what we end up doing is we look at, okay the technologies are there, what value ads to we have around that to make sure that a customer and a developer cn actually maintain this thing long term and keep their enterprise applications up? >> So, security for example. >> Security is a great example, right? How do we make sure that every container that gets deployed on Kubernetes platforms or by Kubernetes platforms, that every container that's deployed which, keep in mind, is an operating system, it has an operating system in the container itself, how is that kept up to date? How do you make sure that when the next security errata is released, from us or a different vendor possibly, how do you make sure that that container is secure? And, you know, we've done a lot in our registry as well as our catalog to make sure that all of our partners and customers can see their containers, know what grade they have in a security context, and be able to grow that. That's one of the core things that we see adding into this Kubernetes value and authorization level. >> It's not a trivial technical problem either. >> No. >> Sometimes micro services aren't so micro. >> It's been part of what we've for RHEL from the start, it's been how do we bring that enterprise value into technology that is maturing out of the open source community and make that available to customers? >> Yeah, one of the key things you guys, first of all, OpenShift has been phenomenal, you guys did a great job with that, been watching that grow, but I think a real seminal moment was the CoreOS acquisition. >> Sure. >> That was a real turbo boost for you guys, great acquisition, fits in with the culture, and then Kubernetes just lifted from that, that was the point but, at the timing of all this, Kubernetes gets mainstream lift, people recognize that the standardization it is a good thing, and then, boom, developers are getting engaged. >> Yeah, and if you see what the CoreOS environment has brought us from over their updates for our platforms, to being able to talk about a registry in the environment. Being able to say that, is kind of additive to this overall messaging, it really rounds out the offering for us, and allows us to participate even more deeply in the communities as well. >> Well, we're looking forward to keeping you covered, we love Kubernetes, we've got a special report called "Kubernetes Special Report" on siliconangle.com, it's called "The Rise Of Kubernetes", it's a dedicated set of content, we're publishing a lot on Kubernetes. Final question I want to get to you because I think it's super important, what's the relationship you have with AWS? And take some time to explain the partnership, how many years, what you guys are doing together, I know you're actively involved, so take a minute. >> It is somewhat blurry, it's been a long time, so 2007 era is when we started in depth with them, and I can remember the early days, actually in the development of S3, prior to EC2, being able to say alright, what is this thing and how does Red Hat participate in this? And I think, yesterday Terry Wiese even mentioned that we were one of the first partners to actually engage in the consumption model and, you know, claiming partial credit for out 34 billion dollar valuation that we just got announced. But, you know, overall the relationship really spawned out of that, how do we help build a cloud and how do we help offer our products to our customers in a more flexible way? And so that snowballed over the years from just early adopters being able to play with it to now where you see it's many many millions of dollars that are being generated in customers and they think, in the hundreds of millions of hours of our products being consumed, at least within a month if not shorter timeframes, every time period we have. >> You know that's an unsung benefit that people might not know about with Red Hat is that, you guys are in early markets because, one, everyone uses Linux pretty much these days for anything core, meaningful. And you listen to community, and so you guys are always involved in big moving things, cloud, Amazon, 2007, it was command line back then. >> Yeah. >> It wasn't even, I think RightScale just came online that year, so you remember. You guys are always in all these markets so it's a good indicator, you guys are a bellwether, I think it's a good beacon to look at. >> And we do this, certainly on the container space, and the middleware space, and the storage space, you know, we replicate this model and, including in management, about how do we actually invest in the right places where we see the industry and communities going so we can actually help those? >> And you're very partner friendly, you bring a lot to the table, I love the open source ethos, I think that's the future. The future of that ethos of contributing to get value downstream is going to be a business practice, not just software, so you guys are a big part of the industry on that and I want to give you guys props for that. Okay, more Cube coverage here in Las Vegas, AWS Reinvent, after this short break, more live coverage, I'm John Furrier, Dave Vellante, we'll be right back. (electronic music)

>> Live from Las Vegas, it's theCUBE! Covering AWS re:Invent 2018. Brought to you by Amazon web services, Intel, and their ecosystem partners. >> Hey welcome back everyone, here at AWS re:Invent 2018, their sixth year of theCUBE coverage, two sets wall-to-wall coverage here, two more sets in other locations, getting all the content, bringing it in, ingesting it into our video cloud service on AWS, ah, Dave, >> Lot of content, John. >> Lot of people don't know that we have that video cloud service, but we're going to have a lot of fun, ton of content, ton of stories, and a special analyst segment, Jerry Chen, guest here today, CUBE alumni, famous Venture Capitalist and Greylock partners, partnering with Reid Hoffman, the founder of LinkedIn, great set of partners at Greylock , great firm, tier one, doing a lot of great deals, Rockset, recent one. >> Thanks, yeah. >> You're also, on the record, these six years ago, calling the shot of Babe Ruth predicting the future. You've got a good handle on, you've got VM where you have the cloud business, now you're making investments, you're seeing a lot of stuff on the landscape, certainly, as a Venture Capitalist, you're funding projects, what better time now of innovation to actually put money to work, to hit market share, and then the big guys are getting bigger, they're creating more robust platforms, game is changing big-time, want to get your perspective, Dave, so, Jerry, what's your take on the announcements, slew of announcements, which ones jumped out at you? >> I think there's kind of two or three areas, there's definitely the hybrid cloud story with the Outpost, there's a bunch of stuff around ML and AI services, and a bunch of stuff on data and storage, and for me I think what they're doing around the ML services, the prediction, the personalization, the text OCR, what Amazon's doing at that app layer is now creating AI building blocks for modern application, so you want to do forecasts, you want to do personalization, you want to do text analysis, you have a simple API to basically build these modern apowered apps, he's doing to the app infrastructure layer what he's done to the cloud infrastructure layer, by deconstructing these services. >> And API is also the center, that's what web services are, so question for you is, do you see that the core cloud players, Aussie, Amazon, Bigly, Google, Microsoft, others, it's a winner take most, you called that six years ago, and that's true, but as they grow there's going to be now a new cloudification going on for business apps, new entrepreneurs coming to market, who's vulnerable, who wins, who loses, as this evolution continues because it's going to enable a lot of opportunity. >> Yeah, well I mean Amazon in cloud in general is going to create a lot of winners and losers, like you said, so I think you have a shift of dollars from on prem and old legacy vendors, databay storage, compute, to the cloud, so I think there's a shift of dollars, there are winner and losers, but I think what's going to happen is, with all these services around AI, ML, and Cloud as a distribution model, a lot of applications are going to be rebuilt. So I think that the entire application stack from all the big SaaS players to small SaaS companies, you're going to see this kind of a long tale of new SaaS applications being built on top of the Cloud that you didn't see in the past. >> And the ability to get to markets faster, so the question I have for you is, if you're an entrepreneur out there, looking for funding and I can to market quicker, what's the playbook, and two, Jassie talked on stage about a new persona, a new kind of developer, one that can rethink and reimagine and reinvent something that someone else has already done, so if you're an entrepreneur, you got to think to take someone else's territory, so how does an entrepreneur go out and identify whose lunch to eat, so if I want to take down a company, I got to have a strategy, how do I use the cloud to >> I think it's always a combination when a founder in a thing attacks your market it's a combination of where are the dollars, where can I create some advantage IP or advantage angle, and thirdly where do I have a distribution advantage, how can I actually get my product in the hands of the users differently? And so I think those are the three things, you find intersection of a great market, you have a unique angle, and you have a unique route to market, then you have a powerful story. So, you think about cloud changing the game, think about the mobile app you can consist of, for consumers, that is also a new platform, a new distribution method, the mobile app stores, and so what happened, you had a new category of developers, mode developers, creating this long tale, a thousand thousand apps, for everything from groceries to cars to your Fantasy Football score. So I think you're going to see distribution in the cloud, making it easy to get your apps out there, going to see a bunch of new markets open up, because we're seeing verticals like healthcare, construction, financial services, that didn't have special apps beforehand, be disrupted with technology. Autodesk just bought PlanGrid for 800 million dollars, I mean that's unheard of, construction software company. So you can see a bunch of new inverdics like that be opened up, and then I think with this cloud technology, with compute storage network becomes free and you have this AI layer on top of it, you can power these new applications using AI, that I think is pretty damn exciting. >> Yes, you described this sort of, we went from client server to the cloud, brought a whole bunch of new app providers, obviously Salesforce was there but Workday, Service Now, what you described is a set of composeable digital services running on top of a cloud, so that's ripe for disruption, so do I have to own my own data centers if I'm big SaaS company, what happens to those big guys? >> I don't think you have to, well, you don't have to own your own data center as a company, but you could if you wanted to, right, so at some point in scale, a lot of big players build their own data centers, like AirBNB is on Amazon, but Dropbox built their own storage on Amazon early, then their own data center later. Uber has their own data center, right, so you can argue that at some point of scale it makes sense to build your own, so you don't need to be on Amazon or Google as your start, but it does give you a head start. Now the question is, in the future, can you build a SaaS application entirely on Amazon, Azure, or Google, without any custom code, right, can you hide read write call private SaaS, like a single instance of my SaaS application for you, John, or for you, Dave, that's your data, your workflow, your information personalized for you, so instead of this multi-tenet CRM system like Salesforce, I have a custom CRM system just for Dave, just for Jeff, just for Jerry, just for theCUBE, right? >> I think yes, for that, I think that's definitely a trend I would see happening. >> It's what Infor is trying to do, right, Charles Phillips says "Friends don't let friends "build data centers," but they've still got a big loss in legacy there, but it's an interesting model, focused on verticals or microverticals or like the healthcare example that you're giving, and lot of potential for something. >> Well here's why I think I like this because, I think, and I said this before in theCUBE maybe it's not the best way to say it is that, if you look at the benefit of AI, data-driven, the quality of the data and the power of the compute has to be there. AI will work well with all that stuff, but it's also specialized around the application's use case. So you have specialism around the application, but you don't have to build a full stack to do that, you could use a horizontally scalable cloud distribution system in your word, and then only create custom unique workloads for the app, where machine learning's involved, and AI, that's unique to the app, that's differentiation, that could be the business model, or the utility. So, multitenancy could exist in theory, at the scalable level, but unique at the top of the level so yes I would say I'd want that hosted in the most customized, agile, flexible way. So I would argue that that's the scenario. >> I think that's the future, I mean one of my, I think you were saying, Dave, friends don't let friends build data centers anymore, it's you probably don't need to build a data center anymore because you can actually build your own application on top of one of the two or three large cloud providers. So it's interesting to see what happens the next three, four years, we're going to see kind of a thousand flowers bloom of different apps, not everyone's going to make it, not everyone's going to be a huge Salesforce-like outcome, but there'll be a bunch of applications out there. >> And the IoT stuff is interesting to me, so observing a lot of what the IT guys are doing, it reminds me of people trying to make the Windows mobile phone, they're just trying to force IT standards down the IoT, what I've seen from AWS today is more of a bottoms up approach, build applications for operations technology people, which I think is the right way to go, what do you see in an IoT, IoT apps, what's the formula there? >> I think what Amazon announced today with their time series database, right, their Timestream prediction engine, plus their Outpost offering with the Vmware themselves, you're really seeing a combination of IoT and Edge, right, it's the whole idea is, one, there's a bunch of use cases for time series in IoT, because sentry data, cameras, self-driving cars, drones, et cetera, there's more data coming at you, it adds all of that. >> And Splunk has proven that big-time. >> Correct, Splunk's let 18 billion Marcap company, all on time series data, but number two, what's happening is, it's not necessarily centralized data, right, it's happening at the edge, your self-driving car, your cell phone, et cetera, so Outpost is really a way for Amazon to get closer to the edge, by pushing their compute towards your data center, towards remote office, branch office, and get closer to where the data is, so I think that'll be super interesting. >> Well the Elastic Inference engine is critical, now we got elasticity around inference, and then they got the chip set that worked Inferentia, that can work with the elastic service. That's a powerful combination. >> The AI plumbing war between Google and TetraFlow as technology there's like PyTorch, Google TPUs versus what Amazon is doing with inference chips today, versus what I'm sure Microsoft and else is doing, is fascinating to watch in terms of how you had a kind of a Intel Nvidia duopoly for a long time, and now you have Intel, Nvidia, and then everyone from Amazon, Google, Microsoft doing their own soul again, it's pretty fascinating to watch. >> What was the stat, he said 85% of the TensorFlow, cloud TensorFlow's running on AWS? >> Makes a lot of sense, I think he said Aurora's customers logoslide doubled, but let's break down real quick, to end the segment with the key areas that we see going on, at least my perspective, I want to get your reaction. Storage, major disruption, he emphasized a lot of that in the keynote, spent a lot of time on stores, actually I think more than EC2 if you look at it, two, databases, database war, storage rate configuration, and a holy trinity of networking, storage, and compute, that's evolving, databases, SageMaker, machine learning. All there and then over the top, yesterday's announcement of satellite as a service, that essentially kills the edge of the network, cause there is no edge if we have space satellites shooting connectivity to any device the world is now, there's no more edge, it's everywhere. So, your thoughts, those areas. Which one pops out as the most surprising or most relevant? >> I think it's consistent Amazon strategy, on the lowest layer they're trying to draw the cost to zero, so on storage, cheaper cheaper cheaper, they're driving the bottom layer to zero to get all your data. I think the second thing, the database layer, it makes sense, it's not open-source, right, time scale or time series, it's not, Timestream's not their open-source database, it's their own, so open-source, low cost, the lowest layer, their database stuff is mostly their own, Aurora, Dynamo, Timestream, right, because there's some level lock in there, which I think customers are worried about, so that's clever, it's not by accident, that's all proprietary, and then ML Services, on top of that, that's all cares with developers, and it's API locking, so clearly low-cost open-source for the bottom, proprietary data services that they're trying to own, and then API's on top of it. And so the higher up in the stack, the more and more Amazon, you look, the more and more Amazon you have to adopt as kind of a lock in stack, so it's a brilliant strategy the guys have been executing for the past six, seven years as you guys have seen firsthand, I think the most exciting thing, and the most shocking thing to me is this move towards this battle for the AI front, this ML AI front, I think we saw ML's the new sequel, right, that's the new war, right, against Amazon, Google, and Microsoft. >> And that's the future of applications, cause this is >> But you're right on, it's a knife fight for the data, and then you layer on machine intelligence on top of that, and you get cloud scale, and that's the innovation engine for the next 10 years. >> Alright Jerry Chen just unpacked the State of the Union of cloud, of course as an investor I got to ask the final question, how are you investing to take advantage of this wave, versus being on the wrong side of history? >> I have framers for everything, there's a framer on how to attack the cloud vendors, and so I'm looking at a couple things, one, a seams in between the clouds, right, or in between services, because they can't do everything well, and there were kind of these large continents, Amazon, Google, Azure, so I'm looking for seams between the three of them, I'm looking for two, deep areas of IP that they're not going into that you actually have proprietary tap, and then verticals of data, like source of the data, or workflows that these guys aren't great, and then finally kind of cross-data cross-cloud solution, so, something that gives you the ability to run on prem, off prem, Microsoft, Google, Azure. >> Yeah, fill in the white spaces, there are big white spaces, and then hope that could develop into, good. Jerry Chen, partner in Greylock , partners formerly Vmware part of the V Mafia, friend of theCUBE, great guest analysis here, with Dave Vellante and John Furrier, thanks for watching us, stay with us, more live coverage, day two of three days of wall-to-wall coverage at re:Invent, 52,000 people, the whole industry's here, you can see the formations, we're getting all of the data, we're bringing it to you, stay with us.