(upbeat music) >> Hey everyone, Lisa Martin here with you on theCUBE Live from Mobile World Congress '23 in Barcelona. We're having a great day at the show. We hope you are too. I've got two guests here with me next. We're going to be talking about telco's 5G, all that exciting stuff. Please welcome Jason Inskeep, the AVP 5G, and Private 5G Center of Excellence at AT&T Business. And Doug Lieberman is here as well. Senior Director, Global Solutions Co-Creation Services at Dell Technologies. Guys, it's great to have you on the show, live from the show floor, talk to me about what's going on, how are you? >> Hey, thanks for having us on. It's a great show, I'm happy to be back here this year and really looking forward to the conversations that are going on and really continuing these partnerships that Dell has with companies like AT&T to truly drive the realities and the benefits of 5G. >> Absolutely, Doug, talk to me a little bit. You have an interesting title, Director of Global Solutions Co-Creation Services at Dell. Tell me a little bit about your role, what you're responsible for, and then Jason we'll have you do the same. >> Yeah, thanks for bringing that up. So, I have a very interesting role and a very exciting role at Dell because we have a unique organization that I run globally whose job it is, is to work with telcos to co-create services for enterprise and jointly go to market with those. So that basically take the combined power of AT&T and Dell and bring that to enterprise customers and other telcos so that enterprises can realize the value of, and truly leverage and harness the capabilities of 5G for private mobility and Mac and IOT and connected devices. >> Jason, let's bring you into the conversation now. You have an interesting title as well. You're with the 5G Center of Excellence at AT&T. Talk a little bit about your role and that COE. >> Yeah, thanks for having me again as well. The role with my team at AT&T is we're on the cutting edge. We're sitting in between our customers and our product houses that are working with folks at Dell, really helping putting our products together in the space of 5G. A lot of open opportunities here, a lot of things changing really fast. So my teams are off as well as putting this stuff in customers production sites it's also taking and capturing that information, working with my internal partners, both on the technology side, on the product side, and partners like Dell who are coming in helping us enabling those products and services that we can take and scale out through the different opportunities that we're seeing in this space. >> Let's double click on that partner angle, Jason, will stay with you. The 5G revolution, it's here, we are all excited about it. There's so much potential that will come from that. Let's talk about the AT&T/Dell partnership. How are you guys working together to deliver 5G globally? Jason, we'll start with you and then Doug will go to you. >> Yeah, at the core of it, when we started looking at 5G and seeing the changes that were happening, one of the biggest changes is it became software defined. So, the way we could deploy the hardware with the software becomes a whole new conversation. And what we saw coming out of that is it's not going to be a single winner and loser to really execute the way it's necessary for the experiences of tomorrow. It has to be an ecosystem that comes together. Dell creates a great opportunity for us from the hardware perspective to move those services around, to scale those services ultimately to all kinds of site types up to cities right down to small offices. And those different form factors that they bring with the software and the network pieces that we're adding on top of it help to streamline the flows and processes and really gets to that next generation that we see happening, which is this converged architecture. This meeting of network and application, creating a whole new skillset along with products. So we're at the very top we've got Dell/AT&T, at a partner level, it gets at a granular level too. The users and the developers underneath are starting to change as well, so very interesting dichotomy happening right now. >> Right, Doug, what's through Dell's lens? Tell us a little bit about the partnership and how you're working together to deliver 5G and really unlock its potential globally. >> Yeah, thank you, I'd love to bonus off of what Jason was saying, for Dell, what we look at is through the lens of an enterprise. An enterprise needs to execute their business function, their outcome, their mission that they need to operate. And so therefore they have workloads that they need to run. And 5G is an enabler for that technology, and there's lots of other enablers but the key piece is how can they get their business work done better, faster, cheaper, more efficiently, more securely? And the combination of AT&T and Dell truly is a combination that brings in a partnership that brings together a full breadth of those capabilities, with understanding what those enterprise workloads are and how they work and how an enterprise would leverage these capabilities. And then bonus on top of that and merge together with that the capabilities of AT&T. And when you look at 5G, there's a lot of people that talk about 5G being the enterprise G. And a lot of that is because of things that Jason mentioned. As we move to a disaggregated stack where you have software-defined aspects of it, and the ability in the underlying definition of what 5G in the specifications to allow much more customization. It means that enterprises now cannot just take connectivity as it is and use it however it comes but actually work with a telco and work with Dell to customize that connectivity in a way that better meets their requirements. Whether that be with slicing or private mobility or roaming between private and the public network and things like profiles and being able to have different views of how different users and devices connect to that network are all key in truly harnessing the power of that connectivity to have always on, always connected, always integrated systems from the edge, the core, to the cloud. >> Always on, always connected. That's what we all expect these days. Wherever we are in the world, whatever we're trying to do. But to be able to take advantage of all that 5G offers for all of us, telcos have to create infrastructures that can support it, let's double click guys on the infrastructure that Dell and AT&T have put in place to enable this. Jason, I want to get your perspective first and then Doug will go to you. >> Yeah, I mean, it's foundational, the things that we're trying to do and build out here and there's a lot of complexity in it now that we didn't have before because of the flexibility in it. It's one of those things like the good news in software is you can do whatever you want. The bad news in software is you can do whatever you want. Once you have that foundation there though in terms of infrastructure, which for us is really air to glass. Fiber through the spectrum on top. But underneath of that, we have the servers, we have that infrastructure where those fibers come together where that air meets the radios and so forth. And we've got to have that great foundation. So working with Dell and getting those spaces built together preps the area as needed so that there's additional place now for compute and scale at that new converged meet-me point. And that's going to be the opportunity that we're trying to think about really to get that foundation in a way that maximizes capacity and maximizes control for the customers and enterprises in particular. And more importantly, maximizes the time horizon. Because if you're putting in a foundation like this, you're not looking at two to three years. You're trying to skate beyond, skate where the puck is going, look at five, 10 years out, set that foundation. And that's what we're trying to look at with Dell. What can our network do already? Where can we push it? In return, they're going to build their solutions to help maximize that potential. >> From an infrastructure perspective, Doug, I want to understand really where Dell is really shining there but also what are some of the differentiators that Dell brings to this foundational infrastructure that to your point, is built for scale? >> Yeah, so it really all comes down to as we start to see this transition that's been happening for years, but it's accelerating because of always-connected devices and everything connected and the great proliferation of data at the edge. As we move assets from the data center and out to the edge we introduce new challenges that have to be overcome. You have things like security, automation, infrastructure cost, maintenance, day-one operations, day-two operations, all of these things are new complexities which enterprises want to enable their workloads, enable the outcomes that they want to generate. But they need to make sure that they're not taking a step backwards when it comes to things like regulations. In Europe, you've got GDPR, and in the US you've got different security regulations. No one wants to be the next front page headline about their company being attacked and having a ransomware attack. And so as we spread out these assets, what Dell is here to do is to work with AT&T and enable enterprises to effectively build their virtual enterprise around the world where those assets, whether they're at the edge or the core or in the cloud, are all managed with the same profiles and the same security features and the same automation that they have in a core data center. So my ability to deploy an edge cloud so that I can leverage AT&T's network and have end-user devices do things like gaming or connect to video services or get directed retail advertising to you are not basically introducing new vectors for security vulnerabilities into that network. And so Dell has worked really hard and is a leader in the industry in providing automation and lower cost of ownership and security for those solutions. So it's not just about putting a server out there but it's about putting an infrastructure and a cloud that is connected by AT&T's backbone and to a central core of automation management and orchestration capabilities so that I can leverage those assets securely and efficiently. >> That security element that you bring up, Doug, is so incredibly critical. We talk about it at every event, we talk about it every day. We've seen such dramatic changes in the threat landscape in the last couple of years with covid and things like that. So that security element isn't trivial, it's essential for every type of enterprise regardless of where they are. I want to talk a little bit now about best practices. And Doug, go back to you, looking at what AT&T is achieving, the 5G COE, what you're doing with Dell. From your lens and your experiences, what are some of the best practices for telcos deploying secured network and connectivity at the edge? >> Yeah, well, I think the first one is that automation and that orchestration, right? The answer is that you cannot have snowflakes at every single ag point. You need to make sure that those infrastructures are consistent and compliant with the integrations and with the policies that have been set across the network. The second thing is that you want to make sure that the connectivity is monitored and metered and managed so that we know whether, for example that endpoint is there and it's not there, if it goes offline. And ensuring the end-user experience is consistent throughout. And so what we are seeing is that it's really important that we provide an implementation where the enterprise can get a consistent and a predictable outcome for what they're trying to accomplish. What they don't want to do, what enterprises hate and is really bad for them is when they provide an inconsistent or inappropriate results to their users, to their customer base. So if your website goes offline or you're a gaming platform, if people can't get to your game you're going to lose customers, you're going to lose business you're going to have people lose faith in your network. And so our partnership with AT&T and with other telcos is about ensuring that we have all those aspects covered, day zero, day one, and day two, as well as the security aspects. And that back haul is an essential piece of that because as we get more and more devices and more and more edge devices set up, there's more sprawl. And so the complexity goes up substantially, but what really wins is when you can take that complexity and use it to your advantage and be able to manage and deploy those systems as though they were all within your virtual enterprise. >> Using complexity to your advantage. That's an interesting one, Doug, that you're bringing up. Jason, I want to know, what does that mean for you and how is AT&T leveraging complexity to its advantage for its customers all over the globe? >> You know, first thing is if you're thinking about, we're a network company we're not just a 5G company, so we're wireline, we're wireless, we're global in terms of the amount of fiber we have in the ground, the amount of in the US, domestic sailor deployments, our investments in FirstNet, is our first responder network here in the US. So we have a big portfolio inclusive of IOT. That is a global brand as well. That, if you look at it through the outside lens, that's super complex, all over the planet. So when we're talking to our customers now in this new world, which is very much, "Hey, you can do these things on your own." We go back and the bigger, obviously have the products, and the network and the tech but now that customers can take advantage of it and take things that Dell have rolled out, they need that new new age expertise. You also got the Dell expertise of building these platforms from maybe a software level, from an orchestration level, those kind of things. And at the edge that's creating a new type of person and a new type of workflow, a new type of way to respond and work. So that combination of those two is going to be that new skillset. It's in small pockets now, it's growing in how that looks because it's a little combination of both the app developer and the network developer, that's coming together. Our footprint and in terms of what we provide in there is not just 5G, it's 5G, it's fiber, it's all of those pieces together. And that's what's going to super enable that experience that Doug talked about when you're thinking about gaming or transportation, it's not just the network performance, it's the roundtrip, so we're really trying to focus on that and educate our customers in that way with the expertise that we bring over years and years of building these things. >> And if I could just jump in there. I'd like to just emphasize something Jason just said. When we look at workloads at the edge, very rarely are those workloads uniquely just an edge workload, there are components. The example I like to use is video surveillance. If you are a big box store and you have video surveillance inside your store, there is a set of workloads and outcomes you need for immediate response at that edge. You want to know if there's a safety hazard, if there is a theft or those things. Those things need to be processed real time in the store before the thief leaves the store. But then there's a set of connectivity as well where you want to process that data up in the cloud to get long-term analytics and data off of that information. What's my average store density on a Thursday afternoon in November when it's 20 degrees out. Because that would drive how many employees I have, how much inventory I carry, et cetera. And that combination is a factor that drives all the different aspects of AT&T's network. We need the connectivity in the store for the practicability and the spectrum for the cameras that talk to a central server. We need the high-speed backup and throughput in order to provide cyber recovery as well as point-of-sales services so that they can do credit card transactions flawlessly, which is using a lot of wireline services for AT&T. And together with their cloud and their other capabilities, an enterprise needs all those different aspects to work, both the edge, the core and the cloud coming together to form an outcome from one piece of input. So that one piece of input, that video stream is used in multiple different ways and because of that, that network that AT&T brings can support the end-to-end outcome and use cases for that implementation, as an example. >> That end-to-end roundtrip that you guys talked about is essential for every type of enterprise. A lot of great work that Dell and AT&T are doing together to really enable enterprises to really capitalize on all that the new technology that 5G has the potential to deliver. So I got to wrap things up, Jason, with you. From a business-customer perspective, what's next for AT&T? What can those business customers expect? >> Just continued to scaling because you're looking at a space that's evolving rapidly. It's evolving rapidly, there's a lot of opportunity. You look at the private wireless space in particular, it's nascent, but growing rapidly with the customers having their ability to do this on their own. So for us, and really where we're starting to think now is we're seeing the things move from POC, starting to move to production, customers are starting to think about what's next. For us, we're trying to skate ahead of that knowing how we built our own networks, knowing how we engaged in our own partnerships like with Dell and trying to bring that expertise back to the customer, because it isn't cookie cutter anymore. There's a lot of flexibility and each input creates a different output. So it's up to us to at least help them balance that. Define what I like to affectionately call, "Find their Goldilocks." What is that just right for them? >> Great point, Jason, it is no longer a cookie cutter. Cookie cutter isn't going to cut it. Jason, Doug, thank you so much for joining me on theCUBE today from Mobile World Congress in Barcelona. We appreciate thank you all of your insights. Sounds like some great work that AT&T and Dell are doing together. Enterprises have a lot to look forward to. Thank you again for your time. >> Thank you very much, >> Thank you. >> Looking forward to seeing you at the show. >> I'm Lisa Martin from theCUBE at Mobile World Congress '23 in Barcelona. Thanks for watching. (upbeat music)

(low-key music) >> The cube's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (uplifting electronic music) (crowd chattering in background) >> Welcome back to Spain, everybody. My name's Dave Vellante. I'm here with Dave Nicholson. We are live at the Fira in Barcelona, covering MWC23 day four. We've been talking about, you know, 5G all week. We're going to talk about it some more. Jillian Kaplan is here. She's the head of Global Telecom Thought Leadership at Dell Technologies, and we're pleased to have Meg Knauth, who's the Vice President for Digital Platform Engineering at T-Mobile. Ladies, welcome to theCUBE. Thanks for coming on. >> Thanks for having us. >> Yeah, thank you. >> All right, Meg, can you explain 5G and edge to folks that may not be familiar with it? Give us the 101 on 5G and edge. >> Sure, I'd be happy to. So, at T-Mobile, we want businesses to be able to focus on their business outcomes and not have to stress about network technology. So we're here to handle the networking behind the scenes for you to achieve your business goals. The main way to think about 5G is speed, reduced latency, and heightened security. And you can apply that to so many different business goals and objectives. You know, some of the use cases that get touted out the most are in the retail manufacturing sectors with sensors and with control of inventory and things of that nature. But it can be applied to pretty much any industry because who doesn't need more (chuckles) more speed and lower latency. >> Yeah. And reliability, right? >> Exactly. >> I mean, that's what you're going to have there. So it's not like it's necessarily going to- you know, you think about 5G and these private networks, right? I mean, it's not going to, oh, maybe it is going to eat into, there's a Venn there, I know, but it's not going to going to replace wireless, right? I mean, it's new use cases. >> Yeah. >> Maybe you could talk about that a little bit. >> Yeah, they definitely coexist, right? And Meg touched a little bit on like all the use cases that are coming to be, but as we look at 5G, it's really the- we call it like the Enterprise G, right? It's where the enterprise is going to be able to see changes in their business and the way that they do things. And for them, it's going to be about reducing costs and heightening ROI, and safety too, right? Like being able to automate manufacturing facilities where you don't have workers, like, you know, getting hit by various pieces of equipment and you can take them out of harm's way and put robots in their place. And having them really work in an autonomous situation is going to be super, super key. And 5G is just the, it's the backbone of all future technologies if you look at it. We have to have a network like that in order to build things like AI and ML, and we talk about VR and the Metaverse. You have to have a super reliable network that can handle the amount of devices that we're putting out today, right? So, extremely important. >> From T-Mobile's perspective, I mean we hear a lot about, oh, we spent a lot on CapEx, we know that. You know, trillion and a half over the next seven years, going into 5G infrastructure. We heard in the early keynotes at MWC, we heard the call to you know, tax the over the top vendors. We heard the OTT, Netflix shot back, they said, "Why don't you help us pay for the content that we're creating?" But, okay, so I get that, but telcos have a great business. Where's T-Mobile stand on future revenue opportunities? Are you looking to get more data and monetize that data? Are you looking to do things like partner with Dell to do, you know, 5G networks? Where are the opportunities for T-Mobile? >> I think it's more, as Jillian said, it's the opportunities for each business and it's unique to those businesses. So we're not in it just for ourselves. We're in it to help others achieve their business goals and to do more with all of the new capabilities that this network provides. >> Yeah, man, I like that answer because again, listening to some of the CEOs of the large telcos, it's like, hmm, what's in it for me as the customer or the business? I didn't hear enough of that. And at least in the early keynotes, I'm hearing it more, you know, as the show goes on. But I don't know, Dave, what do you think about what you've heard at the event? >> Well, I'm curious from T-Mobile's perspective, you know when a consumer thinks about 5G, we think of voice, text, and data. And if we think about the 5G network that you already have in place, I'm curious, if you can share this kind of information, what percentage of that's being utilized now? How much is available for the, you know, for the Enterprise G that we're talking about, and maybe, you know, in five years in the future, do you have like a projected mix of consumer use versus all of these back office, call them processes that a consumer's not aware of, but you know the factory floor being connected via 5G, that frontiers that emerges, where are we now and what are you looking towards? Does that make sense? Kind of the mixed question? >> Hand over the business plan! (all laugh) >> Yeah! Yeah, yeah, yeah. >> Yeah, I- >> I want numbers Meg, numbers! >> Wow. (Dave and Dave laugh) I'm probably actually not the right person to speak to that. But as you know, T-Mobile has the largest 5G network in North America, and we just say, bring it, right? Let's talk- >> So you got room, you got room for Jillian's stuff? >> Yeah, let's solve >> Well, we can build so many >> business problems together. >> private 5G networks, right? Like I would say like the opportunities are... There's not a limit, right? Because as we build out these private networks, right? We're not on a public network when we're talking about like connecting these massive factories or connecting like a retail store to you and your house to be able to basically continue to try on the clothes remotely, something like that. It's limitless and what we can build- >> So they're related, but they're not necessarily mutually exclusive in the sense that what you are doing in the factory example is going to interfere with my ability to get my data through T-mobile. >> No, no, I- >> These are separated. >> Yeah. Yeah. >> Okay. >> As we build out these private networks and these private facilities, and there are so many applications in the consumer space that haven't even been realized yet. Like, when we think about 4G, when 4G launched, there were no applications that needed 4G to run on our cell phones, right? But then the engineers got to work, right? And we ended up with Uber and Instagram stories and all these applications that require 4G to launch. And that's what's going to happen with 5G too, it's like, as the network continues to get built, in the consumer space as well as the enterprise space, there's going to be new applications realized on this is all the stuff that we can do with this amazing network and look how many more devices and look how much faster it is, and the lower latency and the higher bandwidth, and you know, what we can really build. And I think what we're seeing at this show compared to last year is this stuff actually in practice. There was a lot of talk last year, like about, oh, this is what we can build, but now we're building it. And I think that's really key to show that companies like T-Mobile can help the enterprise in this space with cooperation, right? Like, we're not just talking about it now, we're actually putting it into practice. >> So how does it work? If I put in a private network, what are you doing? You slice out a piece of the network and charge me for it and then I get that as part of my private network. How does it actually work for the customer? >> You want to take that one? >> So I was going to say, yeah, you can do a network slice. You can actually physically build a private network, right? It depends, there's so many different ways to engineer it. So I think you can do it either way, basically. >> We just, we don't want it to be scary, right? >> Yep. >> So it starts with having a conversation about the business challenges that you're facing and then backing it into the technology and letting the technology power those solutions. But we don't want it to be scary for people because there's so much buzz around 5G, around edge, and it can be overwhelming and you can feel like you need a PhD in engineering to have a conversation. And we just want to kind of simplify things and talk in your language, not in our language. We'll figure out the tech behind the scenes. Just tell us what problems we can solve together. >> And so many non-technical companies are having to transform, right? Like retail, like manufacturing, that haven't had to be tech companies before. But together with T-Mobile and Dell, we can help enable that and make it not scary like Meg said. >> Right, so you come into my factory, I say, okay, look around. I got all these people there, and they're making hoses and they're physically putting 'em together. And we go and we have to take a physical measurement as to, you know, is it right? And because if we don't do that, then we have to rework it. Okay, now that's a problem. Okay, can you help me digitize that business? I need a network to do that. I'm going to put in some robots to do that. This is, I mean, I'm making this up but this has got to be a common use case, right? >> Yeah. >> So how do you simplify that for the business owner? >> So we start with what we can provide, and then in some cases you need additional solution providers. You might need a robotics company, you might need a sensor company. But we have those contacts to bring that together for you so that you don't have to be the expert in all those things. >> And what do I do with all the data that I'm collecting? Because, you know, I'm not really a data expert. Maybe, you know, I'm good at putting hoses together, but what's the data layer look like here? (all laughing) >> It's a hose business! >> I know! >> Great business. >> Back to the hoses again. >> There's a lot of different things you can do with it, right? You can collect it in a database, you can send it up to a cloud, you can, you know, use an edge device. It depends how we build the network. >> Dave V.: Can you guys help me do that? Can you guys- >> Sure, yeah. >> Help me figure that out. Should I put it into cloud? Should I use this database or that data? What kind of skills do I need? >> And it depends on the size of the network, right? And the size of the business. Like, you know, there's very simple. You don't have to be a massive manufacturer in order to install this stuff. >> No, I'm asking small business questions. >> Yeah. >> Right, I might not have this giant IT team. I might not have somebody who knows how to do ETL and PBA. >> Exactly. And we can talk to you too about what data matters, right? And we can, together, talk about what data might be the most valuable to you. We can talk to you about how we use data. But again, simplifying it down and making it personal to your business. >> Your point about scary is interesting, because no one has mentioned that until you did in four days. Three? Four days. Somebody says, let's do a private 5G network. That sounds like you're offering, you know, it's like, "Hey, you know what we should do Dave? We'll build you a cruise ship." It's like, I don't need a cruise ship, I just want to go bass fishing. >> Right, right, right. >> But in fact, these things are scalable in the sense that it can be scaled down from the trillions of dollars of infrastructure investment. >> Yeah. >> Yeah. It needs to be focused on your outcome, right? And not on the tech. >> When I was at the Dell booth I saw this little private network, it was about this big. I'm like, how much is that? I want one of those. (all laugh) >> I'm not the right person to talk about that! >> The little black one? >> Yes. >> I wanted one of those, too! >> I saw it, it had a little case to carry it around. I'm like, that could fit in my business. >> Just take it with you. >> theCUBE could use that! (all laugh) >> Anything that could go in a pelican case, I want. >> It's true. Like, it's so incredibly important, like you said, to focus on outcomes, right? Not just tech for the sake of tech. What's the problem? Let's solve the problem together. And then you're getting the outcome you want. You'll know what data you need. If you know what the problem is, you're like, okay this is the data I need to know if this problem is solved or not. >> So it sounds like 2022 was the year of talking about it. 2023, I'm inferring is the year of seeing it. >> Yep. >> And 2024 is going to be the year of doing it? >> I think we're doing it now. >> We're doing it now. >> Yeah. >> Okay. >> Yeah, yeah. We're definitely doing it now. >> All right. >> I see a lot of this stuff being put into place and a lot more innovation and a lot more working together. And Meg mentioned working with other partners. No one's going to do this alone. You've got to like, you know, Dell especially, we're focused on open and making sure that, you know, we have the right software partners. We're bringing in smaller players, right? Like ISVs too, as well as like the big software guys. Incredibly, incredibly important. The sensor companies, whatever we need you've got to be able to solve your customer's issue, which in this case, we're looking to help the enterprise together to transform their space. And Dell knows a little bit about the enterprise, so. >> So if we are there in 2023, then I assume 2024 will be the year that each of your companies sets up a dedicated vertical to address the hose manufacturing market. (Meg laughing) >> Oh, the hose manufacturing market. >> Further segmentation is usually a hallmark of the maturity of an industry. >> I got a lead for you. >> Yeah, there you go. >> And that's one thing we've done at Dell, too. We've built like this use case directory to help the service providers understand what, not just say like, oh, you can help manufacturers. Yeah, but how, what are the use cases to do that? And we worked with a research firm to figure out, like, you know these are the most mature, these are the best ROIs. Like to really help hone in on exactly what we can deploy for 5G and edge solutions that make the most sense, not only for service providers, right, but also for the enterprises. >> Where do you guys want to see this partnership go? Give us the vision. >> To infinity and beyond. To 5G! (Meg laughing) To 5G and beyond. >> I love it. >> It's continuation. I love that we're partnering together. It's incredibly important to the future of the business. >> Good deal. >> To bring the strengths of both together. And like Jillian said, other partners in the ecosystem, it has to be approached from a partnership perspective, but focused on outcomes. >> Jillian: Yep. >> To 5G and beyond. I love it. >> To 5G and beyond. >> Folks, thanks for coming on theCUBE. >> Thanks for having us. >> Appreciate your insights. >> Thank you. >> All right. Dave Vellante for Dave Nicholson, keep it right there. You're watching theCUBE. Go to silliconANGLE.com. John Furrier is banging out all the news. theCUBE.net has all the videos. We're live at the Fira in Barcelona, MWC23. We'll be right back. (uplifting electronic music)

(gentle music) >> Narrator: "TheCUBE's" live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (upbeat music) >> Hello everybody, welcome back to day four of "theCUBE's" coverage of MWC '23. We're here live at the Fira in Barcelona. Wall-to-wall coverage, John Furrier is in our Palo Alto studio, banging out all the news. Really, the whole week we've been talking about the disaggregation of the telco network, the new opportunities in telco. We're really excited to have AT&T and Snowflake here. Dave Whittington is the AVP, at the Chief Data Office at AT&T. Roddy Tranum is the Assistant Vice President, for Channel Performance Data and Tools at AT&T. And Phil Kippen, the Global Head Of Industry-Telecom at Snowflake, Snowflake's new telecom business. Snowflake just announced earnings last night. Typical Scarpelli, they beat earnings, very conservative guidance, stocks down today, but we like Snowflake long term, they're on that path to 10 billion. Guys, welcome to "theCUBE." Thanks so much >> Phil: Thank you. >> for coming on. >> Dave and Roddy: Thanks Dave. >> Dave, let's start with you. The data culture inside of telco, We've had this, we've been talking all week about this monolithic system. Super reliable. You guys did a great job during the pandemic. Everything shifting to landlines. We didn't even notice, you guys didn't miss a beat. Saved us. But the data culture's changing inside telco. Explain that. >> Well, absolutely. So, first of all IoT and edge processing is bringing forth new and exciting opportunities all the time. So, we're bridging the world between a lot of the OSS stuff that we can do with edge processing. But bringing that back, and now we're talking about working, and I would say traditionally, we talk data warehouse. Data warehouse and big data are now becoming a single mesh, all right? And the use cases and the way you can use those, especially I'm taking that edge data and bringing it back over, now I'm running AI and ML models on it, and I'm pushing back to the edge, and I'm combining that with my relational data. So that mesh there is making all the difference. We're getting new use cases that we can do with that. And it's just, and the volume of data is immense. >> Now, I love ChatGPT, but I'm hoping your data models are more accurate than ChatGPT. I never know. Sometimes it's really good, sometimes it's really bad. But enterprise, you got to be clean with your AI, don't you? >> Not only you have to be clean, you have to monitor it for bias and be ethical about it. We're really good about that. First of all with AT&T, our brand is Platinum. We take care of that. So, we may not be as cutting-edge risk takers as others, but when we go to market with an AI or an ML or a product, it's solid. >> Well hey, as telcos go, you guys are leaning into the Cloud. So I mean, that's a good starting point. Roddy, explain your role. You got an interesting title, Channel Performance Data and Tools, what's that all about? >> So literally anything with our consumer, retail, concenters' channels, all of our channels, from a data perspective and metrics perspective, what it takes to run reps, agents, all the way to leadership levels, scorecards, how you rank in the business, how you're driving the business, from sales, service, customer experience, all that data infrastructure with our great partners on the CDO side, as well as Snowflake, that comes from my team. >> And that's traditionally been done in a, I don't mean the pejorative, but we're talking about legacy, monolithic, sort of data warehouse technologies. >> Absolutely. >> We have a love-hate relationship with them. It's what we had. It's what we used, right? And now that's evolving. And you guys are leaning into the Cloud. >> Dramatic evolution. And what Snowflake's enabled for us is impeccable. We've talked about having, people have dreamed of one data warehouse for the longest time and everything in one system. Really, this is the only way that becomes a reality. The more you get in Snowflake, we can have golden source data, and instead of duplicating that 50 times across AT&T, it's in one place, we just share it, everybody leverages it, and now it's not duplicated, and the process efficiency is just incredible. >> But it really hinges on that separation of storage and compute. And we talk about the monolithic warehouse, and one of the nightmares I've lived with, is having a monolithic warehouse. And let's just go with some of my primary, traditional customers, sales, marketing and finance. They are leveraging BSS OSS data all the time. For me to coordinate a deployment, I have to make sure that each one of these units can take an outage, if it's going to be a long deployment. With the separation of storage, compute, they own their own compute cluster. So I can move faster for these people. 'Cause if finance, I can implement his code without impacting finance or marketing. This brings in CI/CD to more reality. It brings us faster to market with more features. So if he wants to implement a new comp plan for the field reps, or we're reacting to the marketplace, where one of our competitors has done something, we can do that in days, versus waiting weeks or months. >> And we've reported on this a lot. This is the brilliance of Snowflake's founders, that whole separation >> Yep. >> from compute and data. I like Dave, that you're starting with sort of the business flexibility, 'cause there's a cost element of this too. You can dial down, you can turn off compute, and then of course the whole world said, "Hey, that's a good idea." And a VC started throwing money at Amazon, but Redshift said, "Oh, we can do that too, sort of, can't turn off the compute." But I want to ask you Phil, so, >> Sure. >> it looks from my vantage point, like you're taking your Data Cloud message which was originally separate compute from storage simplification, now data sharing, automated governance, security, ultimately the marketplace. >> Phil: Right. >> Taking that same model, break down the silos into telecom, right? It's that same, >> Mm-hmm. >> sorry to use the term playbook, Frank Slootman tells me he doesn't use playbooks, but he's not a pattern matcher, but he's a situational CEO, he says. But the situation in telco calls for that type of strategy. So explain what you guys are doing in telco. >> I think there's, so, what we're launching, we launched last week, and it really was three components, right? So we had our platform as you mentioned, >> Dave: Mm-hmm. >> and that platform is being utilized by a number of different companies today. We also are adding, for telecom very specifically, we're adding capabilities in marketplace, so that service providers can not only use some of the data and apps that are in marketplace, but as well service providers can go and sell applications or sell data that they had built. And then as well, we're adding our ecosystem, it's telecom-specific. So, we're bringing partners in, technology partners, and consulting and services partners, that are very much focused on telecoms and what they do internally, but also helping them monetize new services. >> Okay, so it's not just sort of generic Snowflake into telco? You have specific value there. >> We're purposing the platform specifically for- >> Are you a telco guy? >> I am. You are, okay. >> Total telco guy absolutely. >> So there you go. You see that Snowflake is actually an interesting organizational structure, 'cause you're going after verticals, which is kind of rare for a company of your sort of inventory, I'll say, >> Absolutely. >> I don't mean that as a negative. (Dave laughs) So Dave, take us through the data journey at AT&T. It's a long history. You don't have to go back to the 1800s, but- (Dave laughs) >> Thank you for pointing out, we're a 149-year-old company. So, Jesse James was one of the original customers, (Dave laughs) and we have no longer got his data. So, I'll go back. I've been 17 years singular AT&T, and I've watched it through the whole journey of, where the monolithics were growing, when the consolidation of small, wireless carriers, and we went through that boom. And then we've gone through mergers and acquisitions. But, Hadoop came out, and it was going to solve all world hunger. And we had all the aspects of, we're going to monetize and do AI and ML, and some of the things we learned with Hadoop was, we had this monolithic warehouse, we had this file-based-structured Hadoop, but we really didn't know how to bring this all together. And we were bringing items over to the relational, and we were taking the relational and bringing it over to the warehouse, and trying to, and it was a struggle. Let's just go there. And I don't think we were the only company to struggle with that, but we learned a lot. And so now as tech is finally emerging, with the cloud, companies like Snowflake, and others that can handle that, where we can create, we were discussing earlier, but it becomes more of a conducive mesh that's interoperable. So now we're able to simplify that environment. And the cloud is a big thing on that. 'Cause you could not do this on-prem with on-prem technologies. It would be just too cost prohibitive, and too heavy of lifting, going back and forth, and managing the data. The simplicity the cloud brings with a smaller set of tools, and I'll say in the data space specifically, really allows us, maybe not a single instance of data for all use cases, but a greatly reduced ecosystem. And when you simplify your ecosystem, you simplify speed to market and data management. >> So I'm going to ask you, I know it's kind of internal organizational plumbing, but it'll inform my next question. So, Dave, you're with the Chief Data Office, and Roddy, you're kind of, you all serve in the business, but you're really serving the, you're closer to those guys, they're banging on your door for- >> Absolutely. I try to keep the 130,000 users who may or may not have issues sometimes with our data and metrics, away from Dave. And he just gets a call from me. >> And he only calls when he has a problem. He's never wished me happy birthday. (Dave and Phil laugh) >> So the reason I asked that is because, you describe Dave, some of the Hadoop days, and again love-hate with that, but we had hyper-specialized roles. We still do. You've got data engineers, data scientists, data analysts, and you've got this sort of this pipeline, and it had to be this sequential pipeline. I know Snowflake and others have come to simplify that. My question to you is, how is that those roles, how are those roles changing? How is data getting closer to the business? Everybody talks about democratizing business. Are you doing that? What's a real use example? >> From our perspective, those roles, a lot of those roles on my team for years, because we're all about efficiency, >> Dave: Mm-hmm. >> we cut across those areas, and always have cut across those areas. So now we're into a space where things have been simplified, data processes and copying, we've gone from 40 data processes down to five steps now. We've gone from five steps to one step. We've gone from days, now take hours, hours to minutes, minutes to seconds. Literally we're seeing that time in and time out with Snowflake. So these resources that have spent all their time on data engineering and moving data around, are now freed up more on what they have skills for and always have, the data analytics area of the business, and driving the business forward, and new metrics and new analysis. That's some of the great operational value that we've seen here. As this simplification happens, it frees up brain power. >> So, you're pumping data from the OSS, the BSS, the OKRs everywhere >> Everywhere. >> into Snowflake? >> Scheduling systems, you name it. If you can think of what drives our retail and centers and online, all that data, scheduling system, chat data, call center data, call detail data, all of that enters into this common infrastructure to manage the business on a day in and day out basis. >> How are the roles and the skill sets changing? 'Cause you're doing a lot less ETL, you're doing a lot less moving of data around. There were guys that were probably really good at that. I used to joke in the, when I was in the storage world, like if your job is bandaging lungs, you need to look for a new job, right? So, and they did and people move on. So, are you able to sort of redeploy those assets, and those people, those human resources? >> These folks are highly skilled. And we were talking about earlier, SQL hasn't gone away. Relational databases are not going away. And that's one thing that's made this migration excellent, they're just transitioning their skills. Experts in legacy systems are now rapidly becoming experts on the Snowflake side. And it has not been that hard a transition. There are certainly nuances, things that don't operate as well in the cloud environment that we have to learn and optimize. But we're making that transition. >> Dave: So just, >> Please. >> within the Chief Data Office we have a couple of missions, and Roddy is a great partner and an example of how it works. We try to bring the data for democratization, so that we have one interface, now hopefully know we just have a logical connection back to these Snowflake instances that we connect. But we're providing that governance and cleansing, and if there's a business rule at the enterprise level, we provide it. But the goal at CDO is to make sure that business units like Roddy or marketing or finance, that they can come to a platform that's reliable, robust, and self-service. I don't want to be in his way. So I feel like I'm providing a sub-level of platform, that he can come to and anybody can come to, and utilize, that they're not having to go back and undo what's in Salesforce, or ServiceNow, or in our billers. So, I'm sort of that layer. And then making sure that that ecosystem is robust enough for him to use. >> And that self-service infrastructure is predominantly through the Azure Cloud, correct? >> Dave: Absolutely. >> And you work on other clouds, but it's predominantly through Azure? >> We're predominantly in Azure, yeah. >> Dave: That's the first-party citizen? >> Yeah. >> Okay, I like to think in terms sometimes of data products, and I know you've mentioned upfront, you're Gold standard or Platinum standard, you're very careful about personal information. >> Dave: Yeah. >> So you're not trying to sell, I'm an AT&T customer, you're not trying to sell my data, and make money off of my data. So the value prop and the business case for Snowflake is it's simpler. You do things faster, you're in the cloud, lower cost, et cetera. But I presume you're also in the business, AT&T, of making offers and creating packages for customers. I look at those as data products, 'cause it's not a, I mean, yeah, there's a physical phone, but there's data products behind it. So- >> It ultimately is, but not everybody always sees it that way. Data reporting often can be an afterthought. And we're making it more on the forefront now. >> Yeah, so I like to think in terms of data products, I mean even if the financial services business, it's a data business. So, if we can think about that sort of metaphor, do you see yourselves as data product builders? Do you have that, do you think about building products in that regard? >> Within the Chief Data Office, we have a data product team, >> Mm-hmm. >> and by the way, I wouldn't be disingenuous if I said, oh, we're very mature in this, but no, it's where we're going, and it's somewhat of a journey, but I've got a peer, and their whole job is to go from, especially as we migrate from cloud, if Roddy or some other group was using tables three, four and five and joining them together, it's like, "Well look, this is an offer for data product, so let's combine these and put it up in the cloud, and here's the offer data set product, or here's the opportunity data product," and it's a journey. We're on the way, but we have dedicated staff and time to do this. >> I think one of the hardest parts about that is the organizational aspects of it. Like who owns the data now, right? It used to be owned by the techies, and increasingly the business lines want to have access, you're providing self-service. So there's a discussion about, "Okay, what is a data product? Who's responsible for that data product? Is it in my P&L or your P&L? Somebody's got to sign up for that number." So, it sounds like those discussions are taking place. >> They are. And, we feel like we're more the, and CDO at least, we feel more, we're like the guardians, and the shepherds, but not the owners. I mean, we have a role in it all, but he owns his metrics. >> Yeah, and even from our perspective, we see ourselves as an enabler of making whatever AT&T wants to make happen in terms of the key products and officers' trade-in offers, trade-in programs, all that requires this data infrastructure, and managing reps and agents, and what they do from a channel performance perspective. We still ourselves see ourselves as key enablers of that. And we've got to be flexible, and respond quickly to the business. >> I always had empathy for the data engineer, and he or she had to service all these different lines of business with no business context. >> Yeah. >> Like the business knows good data from bad data, and then they just pound that poor individual, and they're like, "Okay, I'm doing my best. It's just ones and zeros to me." So, it sounds like that's, you're on that path. >> Yeah absolutely, and I think, we do have refined, getting more and more refined owners of, since Snowflake enables these golden source data, everybody sees me and my organization, channel performance data, go to Roddy's team, we have a great team, and we go to Dave in terms of making it all happen from a data infrastructure perspective. So we, do have a lot more refined, "This is where you go for the golden source, this is where it is, this is who owns it. If you want to launch this product and services, and you want to manage reps with it, that's the place you-" >> It's a strong story. So Chief Data Office doesn't own the data per se, but it's your responsibility to provide the self-service infrastructure, and make sure it's governed properly, and in as automated way as possible. >> Well, yeah, absolutely. And let me tell you more, everybody talks about single version of the truth, one instance of the data, but there's context to that, that we are taking, trying to take advantage of that as we do data products is, what's the use case here? So we may have an entity of Roddy as a prospective customer, and we may have a entity of Roddy as a customer, high-value customer over here, which may have a different set of mix of data and all, but as a data product, we can then create those for those specific use cases. Still point to the same data, but build it in different constructs. One for marketing, one for sales, one for finance. By the way, that's where your data engineers are struggling. >> Yeah, yeah, of course. So how do I serve all these folks, and really have the context-common story in telco, >> Absolutely. >> or are these guys ahead of the curve a little bit? Or where would you put them? >> I think they're definitely moving a lot faster than the industry is generally. I think the enabling technologies, like for instance, having that single copy of data that everybody sees, a single pane of glass, right, that's definitely something that everybody wants to get to. Not many people are there. I think, what AT&T's doing, is most definitely a little bit further ahead than the industry generally. And I think the successes that are coming out of that, and the learning experiences are starting to generate momentum within AT&T. So I think, it's not just about the product, and having a product now that gives you a single copy of data. It's about the experiences, right? And now, how the teams are getting trained, domains like network engineering for instance. They typically haven't been a part of data discussions, because they've got a lot of data, but they're focused on the infrastructure. >> Mm. >> So, by going ahead and deploying this platform, for platform's purpose, right, and the business value, that's one thing, but also to start bringing, getting that experience, and bringing new experience in to help other groups that traditionally hadn't been data-centric, that's also a huge step ahead, right? So you need to enable those groups. >> A big complaint of course we hear at MWC from carriers is, "The over-the-top guys are killing us. They're riding on our networks, et cetera, et cetera. They have all the data, they have all the client relationships." Do you see your client relationships changing as a result of sort of your data culture evolving? >> Yes, I'm not sure I can- >> It's a loaded question, I know. >> Yeah, and then I, so, we want to start embedding as much into our network on the proprietary value that we have, so we can start getting into that OTT play, us as any other carrier, we have distinct advantages of what we can do at the edge, and we just need to start exploiting those. But you know, 'cause whether it's location or whatnot, so we got to eat into that. Historically, the network is where we make our money in, and we stack the services on top of it. It used to be *69. >> Dave: Yeah. >> If anybody remembers that. >> Dave: Yeah, of course. (Dave laughs) >> But you know, it was stacked on top of our network. Then we stack another product on top of it. It'll be in the edge where we start providing distinct values to other partners as we- >> I mean, it's a great business that you're in. I mean, if they're really good at connectivity. >> Dave: Yeah. >> And so, it sounds like it's still to be determined >> Dave: Yeah. >> where you can go with this. You have to be super careful with private and for personal information. >> Dave: Yep. >> Yeah, but the opportunities are enormous. >> There's a lot. >> Yeah, particularly at the edge, looking at, private networks are just an amazing opportunity. Factories and name it, hospital, remote hospitals, remote locations. I mean- >> Dave: Connected cars. >> Connected cars are really interesting, right? I mean, if you start communicating car to car, and actually drive that, (Dave laughs) I mean that's, now we're getting to visit Xen Fault Tolerance people. This is it. >> Dave: That's not, let's hold the traffic. >> Doesn't scare me as much as we actually learn. (all laugh) >> So how's the show been for you guys? >> Dave: Awesome. >> What're your big takeaways from- >> Tremendous experience. I mean, someone who doesn't go outside the United States much, I'm a homebody. The whole experience, the whole trip, city, Mobile World Congress, the technologies that are out here, it's been a blast. >> Anything, top two things you learned, advice you'd give to others, your colleagues out in general? >> In general, we talked a lot about technologies today, and we talked a lot about data, but I'm going to tell you what, the accelerator that you cannot change, is the relationship that we have. So when the tech and the business can work together toward a common goal, and it's a partnership, you get things done. So, I don't know how many CDOs or CIOs or CEOs are out there, but this connection is what accelerates and makes it work. >> And that is our audience Dave. I mean, it's all about that alignment. So guys, I really appreciate you coming in and sharing your story in "theCUBE." Great stuff. >> Thank you. >> Thanks a lot. >> All right, thanks everybody. Thank you for watching. I'll be right back with Dave Nicholson. Day four SiliconANGLE's coverage of MWC '23. You're watching "theCUBE." (gentle music)

>>Good morning friends. Live from Las Vegas. It's the Cube Day four of our coverage of AWS. Reinvent continues. Lisa Martin here with Dave Valante. You >>Can tell it's day four. Yeah. >>You can tell, you >>Get punchy. >>Did you? Yes. Did you know that the Vegas rodeo is coming into town? I'm kind of bummed down, leaving tonight. >>Really? You rodeo >>Fan this weekend? No, but to see a bunch of cowboys in Vegas, >>I'd like to see the Raiders. I'd like to see the Raiders get tickets. >>Yeah. And the hockey team. Yeah. We have had an amazing event, Dave. The cubes. 10th year covering reinvent 11th. Reinvent >>Our 10th year here. Yeah. Yes. Yeah. I mean we covered remotely in during Covid, but >>Yes, yes, yes. Awesome content. Anything jump out at you that we really, we, we love talking to aws, the ecosystem. We got a customer next. Anything jump out at you that's really a kind of a key takeaway? >>Big story. The majority of aws, you know, I mean people ask me what's different under a Adam than under Andy. And I'm like, really? It's the maturity of AWS is what's different, you know, ecosystem, connecting the dots, moving towards solutions, you know, that's, that's the big thing. And it's, you know, in a way it's kind of boring relative to other reinvents, which are like, oh wow, oh my god, they announced outposts. So you don't see anything like that. It's more taking the platform to the next level, which is a good >>Thing. The next level it is a good thing. Speaking of next level, we have a couple of next level guests from T-Mobile joining us. We're gonna be talking through their customers story, their business transformation with aws. Glenn Curing joins us, the director product and technology. And Nick Chris, senior manager, product and technology guys. Welcome. Great to have you on brand. You're on T-Mobile brand. I love it. >>Yeah, >>I mean we are always T-Mobile. >>I love it. So, so everyone knows T-Mobile Blend, you guys are in the digital commerce domain. Talk to us about what that is, what functions that delivers for T-Mobile. Yeah, >>So the digital commerce domain operates and runs a platform called the Digital commerce platform. What this essentially does, it's a set of APIs that are headless that power the shopping experiences. When you talk about shopping experiences at T-Mobile, a customer comes to either a T-Mobile website or goes to a store. And what they do is they start with the discovery process of a phone. They take it through the process, they decide to purchase the phone day at, at the phone to cart, and then eventually they decide to, you know, basically pull the trigger and, and buy the phone at, at which point they submit the order. So that whole experience, essentially from start to finish is powered by the digital commerce platform. Just this year we have processed well over three and a half million orders amounting to a billion and a half dollars worth of business for T-Mobile. >>Wow. Big outcomes. Nick, talk about the before stage, obviously the, the customer experience is absolutely critical because if, if it goes awry, people churn. We know that and nobody wants, you know, brand reputation is is at stake. Yep. Talk about some of the challenges before that you guys faced and how did you work with AWS and part its partner ecosystem to address those challenges? >>Sure. Yeah. So actually before I started working with Glen on the commerce domain, I was part of T-Mobile's cloud team. So we were the team that kind of brought in AWS and commerce platform was really the first tier one system to go a hundred percent cloud native. And so for us it was very much a learning experience and a journey to learn how to operate on the cloud and which was fundamentally different from how we were doing things in the old on-prem days. When >>You talk about headless APIs, you talk, I dunno if you saw Warren a Vogel's keynote this morning, but you're talking about loosely coupled, a loosely coupled system that you can evolve without ripping out the whole system or without bringing the whole system down. Can you explain that in a little bit more >>Detail? Absolutely. So the concept of headless API exactly opens up that possibility. What it allows us to do is to build and operator platform that runs sort of loosely coupled from the user experiences. So when you think about this from a simplistic standpoint, you have a set of APIs that are headless and you've got the website that connects to it, the retail store applications that connect to it, as well as the customer care applications that connect to it. And essentially what that does is it allows us to basically operate all these platforms without being sort of tightly coupled to >>Each other. Yeah, he was talking about this morning when, when AWS announced s3, you know, there was just a handful of services maybe at just two or three. I think now there's 200 and you know, it's never gone down, it's never been, you know, replaced essentially. And so, you know, the whole thing was it's an asynchronous system that's loosely coupled and then you create that illusion of synchronicity for the customer. >>Exactly. >>Which was, I thought, you know, really well described, but maybe you guys could talk about what the genesis was for this system. Take us kind of to the, from the before or after, you know, the classic as as was and the, and as is. Did you talk about that? >>Yeah, I can start and then hand it off to Nick for some more details. So we started this journey back in 2016 and at that point T-Mobile had seven or eight different commerce platforms. Obviously you can think about the complexity involved in running and operating platforms. We've all talked about T-Mobile being the uncarrier. It's a brand that we have basically popularized in the telco industry. We would come out with these massive uncarrier moves and every time that announcement was made, teams have to scramble because you've got seven systems, seven teams, every single system needs to be updated, right? So that's where we started when we kicked off this transformational journey over time, essentially we have brought it down to one platform that supports all these experiences and what that allows us to do is not only time to market gets reduced immensely, but it also allows us to basically reduce our operational cost. Cuz we don't have to have teams running seven, eight systems. It's just one system with one team that can focus on making it a world class, you know, platform. >>Yeah, I think one of the strategies that definitely paid off for us, cuz going all the way back to the beginning, our little platform was powering just a tiny little corner of the, of the webspace, right? But even in those days we approached it from we're gonna build functions in a way that is sort of agnostic to what the experience is gonna be. So over time as we would build a capability that one particular channel needed primary, we were still thinking about all the other channels that needed it. So now over a few years that investment pays off and you have basically the same capabilities working in the same way across all the channels. >>When did the journey start? >>2016. >>2016, yeah. It's been, it's been six years. >>What are some of the game changers in, in this business transformation that you would say these are some of the things that really ignited our transformation? >>Yeah, there's particularly one thing that we feel pretty proud about, which is the fact that we now operate what we call active active stacks. And what that means is you've got a single stack of the eCommerce platform start to finish that can run in an independent manner, but we can also start adding additional stacks that are basically loosely coupled from each other but can, but can run to support the business. What that basically enables is it allows us to run in active active mode, which itself is a big deal from a system uptime perspective. It really changes the game. It allows us to push releases without worrying about any kind of downtime. We've done canary releases, we are in the middle of retail season and we can introduce changes without worrying about it. And more importantly, I think what it has also allowed us to do is essentially practice disaster recovery while doing a release. Cuz that's exactly what we do is every time we do a release we are switching between these separate stacks and essentially are practicing our DR strategy. >>So you do this, it's, it's you separate across regions I presume? Yes. Is that right? Yes. This was really interesting conversation because as you well know in the on-prem world, you never tested that disaster recovery was too risky because you're afraid you're gonna take your whole business down and you're essentially saying that the testing is fundamental to the implementation. >>Absolutely. >>It, it is the thing that you do for every release. So you know, at least every week or so you are doing this and you know, in the old world, the active passive world on paper you had a bunch of capabilities and in in incidents that are even less than say a full disaster recovery scenario, you would end up making the choice not to use that capability because there was too much complexity or risk or problem. When we put this in place. Now if I, I tell people everything we do got easier after that. >>Is it a challenge for you or how do you deal with the challenge? Correct me if it's not a, a challenge that sometimes Amazon services are not available in both regions. I think for instance, the observability thing that they just announced this week is it's not cross region or maybe I'm getting that wrong, but there are services where, you know, you might not be able to do data sharing across region. How do you manage that? Or maybe there's different, you know, levels of certifications. How do you manage that discontinuity or is that not an issue for you? >>Yeah, I mean it, it is certainly a concern and so the stacks, like Glen said, they are largely decoupled and that what that means is practically every component and there's a lot of lot of components in there. I have redundancy from an availability zone point of view. But then where the real magic happens is when you come in as a user to the stack, we're gonna initially kind of lock you on one stack. And then the key thing that we do is we, we understand the difference between what, what we would call the critical data. So think of like your shopping carts and then contextual data that we can relatively easily reload if we need to. And so that critical data is constantly in an async fashion. So it's not interrupting your performance, being broadcast out to a place where we can recover it if we need to, if we need to send you to another stack and then we call that dehydration. And if you end up getting bumped to a new stack, we rehydrate you on that stack and reload that, that contextual data. So to make that whole thing happen, we rely on something we call the global cart store and that's basically powered by Dynamo. So Dynamo is highly, highly reliable and multi >>Reason. So, and, and presume you're doing some form of server list for the stateless stuff and, and maybe taking control of the run time for the stateful things you, are you leaning into to servers and lambda or Not yet cuz you want control over the, the, the EC two and the memory configs. What, what's, I mean, I know we're going inside the plumbing a little bit, but it's kind of fun. >>That's always fun. You >>Went Yeah, and, and it has been a journey. Back in 2016 when we started, we were all on EC twos and across, you know, over the last three or four years we have kind of gone through that journey where we went from easy two to, to containers and we are at some point we'll get to where we will be serverless, we've got a few functions running. But you know, in that journey, I think when you look at the full end of the spectrum, we are somewhere towards the, the process of sort of going from, you know, containers to, to serverless. >>Yeah. So today your team is setting up the containers, they're fencing 'em off, fencing off the app and doing all that sort of sort of semi heavy lifting. Yeah. How do you deal with the, you know, this is one of the things Lisa, you and I were talking about is the skill sets. We always talk about this. What's that? What's your team look like and what are the skill sets that you've got that you're deploying? >>Yeah, I mean, as you can imagine, it's a challenge and it's a, a highly specialized skill set that you need. And you talk about cloud, you know, I, I tell developers when we bring new folks in, in the old days, you could just be like really good at Java and study that for and be good at that for decades. But in the cloud world, you have to be wide in, in your breadth. And so you have to understand those 200 services, right? And so one of the things that really has helped us is we've had a partner. So UST Global is a digital services company and they've really kind of been on the journey up the same timeline that we were. And I had worked with them on the cloud team, you know, before I came to commerce. And when I came to, to the commerce team, we were really struggling, especially from that operational perspective. >>The, the team was just not adapting to that new cloud reality. They were used to the on-prem world, but we brought these folks in because not only were they really able to understand the stuff, but they had built a lot of the platforms that we were gonna be leveraging for commerce with us on the cloud team. So for example, we have built, T-Mobile operates our own customized Kubernetes platform. We've done some stuff for serverless development, C I C D, cloud security. And so not only did these folks have the right skill sets, but they knew how we were approaching it from a T-mobile cloud perspective. And so it's kind of kind of fun to see, you know, when they came on board with this journey with us, we were both, both companies were relatively new and, and learning. Now I look and, you know, I I think that they're like a, a platinum sponsor these days here of aws and so it's kind of cool to see how we've all grown together, >>A lot of evolution, a lot of maturation. Glen, I wanna know from you when we're almost out of time here, but tell me the what the digital commerce domain, you kind of talked about this in the beginning, but I wanna know what's the value in it for me as a customer? All of this under the hood plumbing? Yeah, the maturation, the transformation. How does it benefit mean? >>Great question. So as a customer, all they care about is coming into, going to the website, walking into a store, and without spending too much time completed that transaction and walkout, they don't care about what's under the hood, right? So this transformational journey from, you know, like I talked about, we started with easy twos back in the day. It was what we call the wild west in the, on a cloud native platform to where we have reached today. You know, the journey we have collectively traversed with the USD has allowed us to basically build a system that allows a customer to walk into a store and not spend a whole hour dealing with a sales rep that's trying to sell them things. They can walk in and out quickly, they go to the website, literally within a couple minutes they can complete the transaction and leave. That's what customers want. It is. And that has really sort of helped us when you think about T-Mobile and the fact that we are now poised to be a leader in the US in telco at this whole concept of systems that really empower the customers to quickly complete their transaction has been one of the key components of allowing us to kind of make that growth. Right. So >>Right. And a big driver of revenue. >>Exactly. >>I have one final question for each of you. We're making a Instagram reel, so think about if you had 30 seconds to describe T-Mobile as a technology company that sells phones or a technology company that delights people, what, what would you say if you had a billboard, what would it say about that? Glen, what do you think? >>So T-Mobile, from a technology company perspective, the, the whole purpose of setting up T-mobile's, you know, shopping experience is about bringing customers in, surprising and delighting them with the frictionless shopping experiences that basically allow them to come in and complete the transaction and move on with their lives. It's not about keeping them in the store for too long when they don't want to do it. And essentially the idea is to just basically surprise and delight our customers. >>Perfect. Nick, what would you say, what's your billboard about T-Mobile as a technology company that's delivering great services to its customers? >>Yeah, I think, you know, Glen really covered it well. What I would just add to that is I think the way that we are approaching it these days, really starting from that 2016 period is we like to say we don't think of ourselves as a telco company anymore. We think of ourselves as a technology company that happens to do telco among other things, right? And so we've approached this from a point of view of we're here to provide the best possible experience we can to our customers and we take it personally when, when we don't reach that high bar. And so what we've done in the last few years as a transformation is really given us the toolbox that we need to be able to meet that promise. >>Awesome. Guys, it's been a pleasure having you on the program, talking about the transformation of T-Mobile. Great to hear what you're doing with aws, the maturation, and we look forward to having you back on to see what's next. Thank you. >>Awesome. Thank you so much. >>All right, for our guests and Dave Ante, I'm Lisa Martin, you watching The Cube, the leader in live enterprise and emerging tech coverage.

(upbeat music) >> theCUBE presents UiPath FORWARD5 brought to you by UiPath. >> Welcome back to Las Vegas, everybody you're watching theCUBE's coverage of UiPath FORWARD5. We're here at the Venetian Convention Center Dave Vellante with Dave Nicholson this morning. Dave, we heard these boomers, these thunder boomers. We thought it was the sound system. (Dave laughing) >> Thought it was something fake. >> But it was actually some crazy weather out here in Vegas. It's rare to see that kind of nuttiness out here. John Morrison is the director of Product and Technology at T-Mobile and Naga Chakravarthy is the Chief Digital Officer at iOpex. Guys, welcome. >> Thanks for having us. >> Next, so John, (commentator booming) so okay, we're serving automation. I don't know if you guys can hear that S0 let's just give him a second here. >> (Commentator) Three different tracks >> I think it's pretty loud. Probably coming through. Usually we don't get that. >> It's live. >> But, it is live. So John, we, we've interviewed a lot of customers that have automation in their title. Your title's, Director of product and technology. Obviously you're here 'cause you have an affinity to automation. But talk about your role and how automation fits into it. >> Sure. Well, I'm the director of product and technology and I oversee what we call the communication, collaboration and productivity applications and services for T-Mobile. Reason I'm here is we took over the automation program and automation is falling within to our productivity portfolio. So I'm here to learn about, from these experts and all these leaders within the UiPath and from our vendors as well. >> Okay. Now tell us about iOpex. So kind of an interesting name. Where'd that come from? I think cloud. When I think opex, but, get rid of my cap. Where's the name come from and what do you guys do? >> Actually we thought hard about what to name about 13 years back. You know, I think all of us, the whole team comes from a service background and then I think we believe that you need to have people and as a lot of operational activities were increasing, you know the dependency on people was also increasing. And we thought that there has to be an angle for us to be very unique in the market. So we thought, you know, I would say iOpex is currently at 3.0 and if you look at what 1.0 was, it's all about driving innovation in operation excellence, right? And the medium was technology. And today, if you ask me from operation excellence that is the base, we are actually looking at how do you drive innovation in operating experiences. That's where automation and all these things becomes very native to us. >> So the market just went right, right to you guys you were ahead of the game. And then, wow, now, >> I have to brag that we fortunately named it Opex, which can be interchangeably used for operation excellence or operating experience. >> Got it. >> So, so John, where did, where did it start? What was the catalyst for your automation journey? How did, was it the, was it the, the merger? Take us through that. >> Sure. So I look at our automation journey, like a crawl, walk, run journey for sure. It started with the partnership of UiPath and iOpex. We had an innovation lab. They came, they set up a proof of concept. Proof of concept was successful. I was then asked to build out an automation program for the T-mobile enterprise. Not having any experience within automation as we had discussed before usually you have automation within the title. We leaned heavily on our partners iOpex being main critical partner in that evolution. And so iOpex came in and helped us build that center of excellence and really helped us put that support team together so that we could be successful as we moved forward. Now, when we had both of those in place, we were able to go to the businesses and find opportunities and showcase what automation was all about. The problem is we were so green is that, you know, we'd go and we'd look at an opportunity, but that opportunity we'd deliver and then our pipeline would be empty and we'd have to go look for other opportunities. So we really had to present and get that executive sponsorship of automation for the enterprise. And I'm going to do a few shoutouts here. Giao Duong, John Lowe and our CIO Brian King, were critical in giving us what we needed to be successful. They gave us the expertise, the funds to do what we needed to, to build out this program. We utilized iOpex, UiPath to really get that expertise in place. And today, our pipeline, we have about 300,000 manual hours of labor savings that we'll deploy by the end of the year. That's a huge success. And that's where we're at right now. The run part of it is going to be, I'll wait. >> Wait. No, it's okay. So you went, you went from hunting to fishing in a barrel? >> Absolutely. Absolutely. So the, our next is focused on citizen development, building out that citizen development program, where we will be partnering with UiPath and iOpex to get that in place. And once we have that in place I feel like we're going to be ready to run and we'll see that program just kick off. But like I said before, 300,000 hours of savings in the first year of that program. That's incredible. And we're a large company and we'll, I mean we're just starting so it's going to be fun. >> So many questions. So Naga, is the COE where people typically start or is it sometimes a grassroot effort and then the COE comes later? How do you typically recommend approaching it? >> I think the fact that we started very small there was a clear mandate that we have to take a very strategic approach while we are solving a tactical problem to show that automation is the future and you need to solve using automation, right? And we not only looked at it just from a task automation standpoint, we were starting to look at it from a process, entire end to end process automation. And when we started looking at it, though we were tactically automating it, COE naturally fell in place. So, which means you need to evangelize this across multiple departments. So when you have to have, when you have to have evangelize across multiple departments, what is very important is you need to have the pod leaders identified let's say if you have to go to different departments it is somebody from John's team who's very capable of navigating through different departments' problem statements and how when you, when you navigate it you can rightly evangelize what is the benefit. And when it comes to benefit, right? You need to look at it from both the angles of operation excellence and what is it going to do from a growth standpoint of solving a future problem. So somebody internally within T-Mobile we were able to use very nice, you know John's team, you know, the COE naturally fell in place. All of them were at some point in time doing automation. And slowly it was a path that they took to evangelize and we were able to piggyback and scale it bigger. >> So in the world we're in, whether you're talking about cloud services that are created by hyper scale cloud providers or automation platforms from UiPath, between those shiny toys and what we want to accomplish with them in the world of business and everything else there are organizations like iOpex and you and John are working together to figure out which projects need to be done in a strategic, from a strategic viewpoint but you're also addressing them tactically. I'm curious, >> Yeah. >> How does that business model from an iOpex perspective work do you have people embedded at T-Mobile that are working with John and his folks to identify the next things to automate? Is it a, is it, where is the push and where is the pull coming from in terms of, okay now what do we do next? Because look, let's be frank, in the, from a business perspective, iOpex wants to do as much as it can a value for T-mobile because that's what, that's the business they're in. But, so tell me about that push pull between the two of you. Does that make sense? Yeah, So I'll say real fast that, yeah iOpex is actually part of the T-mobile team. They are embedded. >> Nicholson: Okay. >> We work with them daily. >> Nicholson: Okay. >> Right. They had the expertise they're passing along the expertise to our full-time employees. And so it's like we're all one team. So that should answer that one for sure there. >> Absolutely. Let me add one more point to it. See if, you know, I think with respect to T-Mobile I would say it's a little bit of a special case for us. Why I say that is, when we started the whole conversation of we need to drive automation with you there was a natural way to get embedded, you know as part of their team. Normally what happens is a team, a COE team works and say I will do the discovery and you guys can come and do the solution design. That was not the case, right? I think it was such a strategic investment that T-Mobile made on us, right? We were part of the discovery team. So, which means that we were able to take all the best practices that we learned from outside and openness to accept and start looking at it what's in it for us for the larger good that made us to get to what we call it as building a solution factory for T-Mobile. >> Vellante: I got a lot of questions. >> John: Yeah. >> John, you mentioned your CIO and a couple of other constituents. >> Yes. >> What part of the organization were they from? They helped you with funding, >> Yep. >> And maybe sort of gave you a catalyst. How did this all get funded? If I, if you could, Cause a lot of people ask me well how do I fund this thing? Does it fund itself? Do I do, is it an IT driven initiative line of business? >> So those executives were from the IT team. >> Vellante: Okay. For sure. But a lot of our programs start from grassroots ground up and you know a lot of vendors say, hey, you need it from the top down. This was a perfect example of getting it from the top down. We were working it, it was fine, but it wouldn't have taken off if we didn't have, you know, Brian King and John Lowe providing us that executive sponsorship, going to their peers and telling them about the program and giving us the opportunity to showcase what automation can do. >> How do you choose, I got so many questions I'm going to go rapid fire. How do you choose your automation priorities? Is it process driven? Is it data led? What's the right approach? >> I think it's a combination, right? One fundamentally guiding principle that we always look at is let it not be a task automation, right? Task automation solves a particular problem, but maybe you know, if you start looking at it from a bigger, you need to start looking at it from process angle. And when it comes to process, right? There are a lot of things that gets executed in the systems of record, in the form of workflow. And there's a lot of things that gets executed outside the systems of record, which is in people's mind. That's when data comes in, right? So let's say you use process mining tool of UiPath, you will get to know that there is a bottleneck in a particular process because it's cluttered somewhere. But you also have to look at why is this clutter happening, and you need to start collecting data. So a combination of a data science as well as a process science blends together. And that's when you'll start deciding, hey this is repetitive in nature, this is going to scale, this is an optimization problem. And then you build a scorecard and that scorecard naturally drives the, you know decision making process. Hey, it's going to drive operation excellence problem for me or is it going to be a true business benefit of driving growth? >> So I was going to ask you how you visualize it. You visualize it through, I guess, understanding of the organization, anecdotal comments, research digging, peeling the onion, and then you do some kind of scorecard like approach and say, okay these are the high, high opportunity areas. Okay. So combination. Got it. How about change management? Because Dave, you and I were talking about this before, big organizations that I know they have IT, they got an application portfolio. That application portfolio the applications have dependencies on each other. And then they have a process portfolio that is also related. So any change in process ripples through the applications. Any change in application affects other applications and affects processes. So how do you handle change management? >> So we actually have a change management team and we make sure that before we go forward with anything it's communicated what changes would be in place. And this change management team also does communications broadly for any of our applications, not just automation. So they partner close with iOpex, with our development teams on opportunities that are going out. You want to add anything? >> Yeah. So when it comes to change management, right? Well, John is front-ending all the changes relating to apps and stuff like that by having a steering committee, what really is the proactive thing that we end up doing is right when a bot goes live, there is a life support that we provide for the entire bot that's gone live. And the fundamentally core principle for that entire support to work good is you start looking at what's the benefit that the bot is giving more than that when a bot fails. Right? Why is the bot failing? Is it because the systems of records on which the bot is running? Is it that is failing? Or the inputs that is coming to the systems of record the data format, is it changing or the bot logic is failed? And once we set up a constant monitoring about that we were able to throw insights into the change management team saying that the bot failed because of various reasons. And that kind of compliments the whole change management process. And we get earlier notifications saying, hey there's going to be changes. So which means we go proactively look at, hey, okay fair enough, this systems of records, this data is going to change. Can we test this out in staging before you hit the production? So that way the change becomes a smoother process. >> And how quickly can you diagnose that? Is it hours, minutes, days, weeks, months? >> So, >> Vellante: Depends. >> It's a very subjective question. Right. If we know the pattern early then the SWAT team quickly gets into it and figure out how we could stop something, you know, stop the bot from failing. The moment the bot fails, you know, you need to basically look at how the business is going to going to get affected. But we try to do as much as we could. >> So Naga, I'm going to put you on the spot here. >> Please. >> As a partner of UiPath, this question of platform versus product. In order to scale and survive and thrive into the future UiPath needs to be able to demonstrate that it's more than a tool set, but instead a platform. What's your view on that in general? What differentiates a platform from a product? Does it matter to your organization whether UiPath moves in the direction of platform or not? >> I think, it is, it's undoubtedly platform, right? And a platform in my mind will constantly evolve. And once you think about it as a platform you will end up having a lot of plug and place. If you look at the way UiPath is evolving it is evolving as a platform. It used to be attended bot and unattended bot and plugged with Orchestrator. And if you look at it, the problem of solving the up chain and the down chain naturally came in process mining, task capture, made it up chain, a platform that solves the up chain. And then it slowly evolved into, hey I'm actually doing business process automation. Why could I not do test automation with the same skillset? So a platform will try to look at what is that, you know I've got in myself and how can I reuse across the enterprise? I think that is deeply embedded in the UiPath culture. And that's the kind of platform that, you know anybody like a system integrator like us, we do not have to multi-skill people. You just have to skill in one and you can interchange. That I would say is a good approach. >> So John, what's the future look like? What's the organization's appetite for automation? You know, is there an all you could eat kind of enterprise license approach? >> John: Yeah, so we are enterprise license. >> You are? Okay. >> So, and iOpex helped us move to the cloud so we can move quickly. That was definitely a benefit. The future of it, I would say citizen development is going to be key. Like I want citizen development within every business organization. I want them to be able to discover, deploy, you know, and and just use us, the center of excellence as support as needed. The appetite's there. Every group has automation within their goals or KPIs right? So it's there. We just need to be able to get in front of 'em. It's a large company. So I'm, '23 is going to be huge for us. >> Another fantastic story. I love that UiPath brings the customers to theCUBE. So thank you guys for telling your story. Congratulations on all your success. Good luck in the future. >> Yeah. Thank you. >> All right. Okay. Thank you for watching. This is Dave Vellante for Dave Nicholson UiPath FORWARD5. The bots are running around Dave. We're going to have to get one of the bots to come up here and show people a lot of fun at FORWARD. We're here in Vegas, right back, right after this short break.

>>From around the globe. It's the cube covering Fortinet security summit brought to you by Fortinet. >>Welcome back to the cube. Lisa Martin here at the Fordham het championship security summit. Napa valley has been beautiful and gracious to us all day. We're very pleased to be here. I'm very pleased to welcome a first-timer to the cube. Rupesh Chuck Chuck Xi, VP a T and T cybersecurity and edge solutions at, at and T cybersecurity. Refresh. Welcome. >>Thank you. Thank you so much for having me, Lisa, I'm looking forward to our conversation today. >>Me too. First of all, it's we're in Napa we're outdoors. It's beautiful venue, no complaints, right? We're at a golf PGA tournament. Very exciting. Talk to me about the at and T Fordanet relationship. Give me, give me an, a good insight into the partnership. >>Sure, sure. So, as you said, you know, beautiful weather in California, Napa it's my first time. Uh, so it's kind of a new experience for me going back to your question in terms of the relationship between eight P and T and Ford in that, uh, a long lasting, you know, 10 plus years, you know, hand in hand in terms of the product, the technology, the capabilities that we are brought together in the security space for our customers. So a strategic relationship, and I'm so thrilled to be here today as a, Fordanet invited us to be part of the championship. Tommy, >>Talk to me. So your role VP of, and T cybersecurity and edge solutions, give me an, a deep dive into what's in your purview. >>Sure, sure. So I, uh, sort of, you know, run the PNL or the profit and loss center for product management for all of at and T cybersecurity and ed solutions and the whole concept behind putting the teams together is the convergence in networking and security. Um, so, you know, we are supporting the entire customer continuum, whether it's a fortune 50, the fortune 1000 to mid-market customers, to small businesses, to, you know, government agencies, you know, whether it's a local government agency or a school district or a federal agency, et cetera. And my team and I focus on bringing new product and capabilities to the marketplace, you know, working with our sales team from an enablement perspective, go to market strategy. Um, and the whole idea is about, uh, you know, winning in the marketplace, right? So delivering growth and revenue to the business, >>Competitive differentiation. So we've seen so much change in the last year and a half. I know that's an epic understatement, but we've also seen the proliferation at the edge. What are some of the challenges that you're seeing and hearing from customers where that's concerned >>As you stated, right. There's a lot happening in the edge. And sometimes the definition for edge varies when you talk with different people, uh, the way we look at it is, you know, definitely focused on the customer edge, right? So if you think about many businesses, whether I am a, a quick serve restaurant or I'm a banking Institute or a financial services or an insurance agency, or I'm a retail at et cetera, you know, lots of different branches, lots of different transformation taking place. So one way of approaching it is that when you think about the customer edge, you see a lot of virtualization, software driven, a lot of IOT endpoints, et cetera, taking place. So the cyber landscape becomes more important. Now you're connecting users, devices, capabilities, your point of sale system to a multi-cloud environment, and that, you know, encryption of that data, the speed at which it needs to happen, all of that is very important. And as we think ahead with 5g and edge compute and what that evolution revolution is going to bring, it's going to get even more excited because to me, those are kind of like in a playgrounds of innovation, but we want to do it right and keep sort of, you know, cyber and security at the core of it. So we can innovate and keep the businesses safe. >>How do you help customers to kind of navigate edge cybersecurity challenges and them not being synonymous? >>That's a great, great question. You know, every day I see, you know, different teams, different agendas, different kinds of ways of approaching things. And what I tell customers and even my own teams is that, look, we have to have a, a blueprint and architecture, a vision, you know, what are the business outcomes that we want to achieve? What the customer wants to achieve. And then start to look at that kind of technology kind of convergence that is taking place, and especially in the security and the networking space, significant momentum on the convergence and utilize that convergence to create kind of full value stack solutions that can be scaled, can be delivered. So you are not just one and done, but it's a continuous innovation and improvement. And in the security space, you need that, right. It's never going to be one and done. No >>We've seen so much change in the last year. We've seen obviously this rapid pivot to work from home that was overnight for millions and millions of people. We're still in that too. A fair amount. There's a good amount of people that are still remote, and that probably will be permanently there's. Those that are going to be hybrid threat landscape bloated. I was looking at and talking with, um, 40 guard labs and the, the nearly 11 X increase in the last 12 months in ransomware is insane. And the ransomware as a business has exploded. So security is a board level conversation for businesses I assume in any. >>Absolutely. Absolutely. I agree with you, it's a board level conversation. Security is not acknowledged the problem about picking a tool it's about, you know, the business risk and what do we need to do? Uh, you mentioned a couple of interesting stats, right? So we've seen, uh, you know, two things I'll share. One is we've seen, you know, 440 petabytes of data on the at and T network in one average business day. So 440 petabytes of data. Most people don't know what it is. So you can imagine the amount of information. So you can imagine the amount of security apparatus that you need, uh, to Tofino, protect, and defend and provide the right kind of insights. And then the other thing that VOC and along the same lines of what you were mentioning is significant, you know, ransomware, but also significant DDoSs attacks, right? So almost like, you know, we would say around 300% plus said, DDoSs mitigations that we did from last year, you know, year over year. >>So a lot of focus on texting the customer, securing the end points, the applications, the data, the network, the devices, et cetera. Uh, the other two points that I want to mention in this space, you know, again, going back to all of this is happening, right? So you have to focus on this innovation at the, at the speed of light. So, you know, artificial intelligence, machine learning, the software capabilities that are more, forward-looking have to be applied in the security space ever more than ever before, right. Needs these do, we're seeing alliances, right? We're seeing this sort of, you know, crowdsourcing going on of action on the good guys side, right? You see the national security agencies kind of leaning in saying, Hey, let's together, build this concept of a D because we're all going to be doing business. Whether it's a public to public public, to private, private, to private, all of those different entities have to work together. So having security, being a digital trust, >>Do you think that the Biden administrations fairly recent executive order catalyst of that? >>I give it, you know, the president and the, the administration, a lot of, you know, kudos for kind of, and then taking it head on and saying, look, we need to take care of this. And I think the other acknowledgement that it is not just hunting or one company or one agency, right? It's the whole ecosystem that has to come together, not just national at the global level, because we live in a hyper connected world. Right. And one of the things that you mentioned was like this hybrid work, and I was joking with somebody the other day that, and really the word is location, location, location, thinking, network security, and networking. The word is hybrid hybrid hybrid because you got a hybrid workforce, the hybrid cloud, you have a hybrid, you have a hyper-connected enterprise. So we're going to be in this sort of, you know, hybrid for quite some time are, and it has to >>Be secure and an org. And it's, you know, all the disruption of folks going to remote work and trying to get connected. One beyond video conference saying, kids are in school, spouse working, maybe kids are gaming. That's been, the conductivity alone has been a huge challenge. And Affordanet zooming a lot there with links to us, especially to help that remote environment, because we know a lot of it's going to remain, but in the spirit of transformation, you had a session today here at the security summit, talked about transformation, formation plan. We talk about that word at every event, digital transformation, right? Infrastructure transformation, it security. What context, where you talking about transformation in it today? What does it transformation plan mean for your customers? >>That's a great question because I sometimes feel, you know, overused term, right? Then you just take something and add it. It's it? Transformation, network, transformation, digital transformation. Um, but what we were talking today in, in, in the morning was more around and sort of, you know, again, going back to the network security and the transformation that the customers have to do, we hear a lot about sassy and the convergence we are seeing, you know, SD van takeoff significantly from an adoption perspective application, aware to experiences, et cetera, customers are looking at doing things like internet offload and having connectivity back into the SAS applications. Again, secure connectivity back into the SAS applications, which directly ties to their outcomes. Um, so the, the three tenants of my conversation today was, Hey, make sure you have a clear view on the business outcomes that you want to accomplish. Now, the second was work with a trusted advisor and at and T and in many cases is providing that from a trusted advisor perspective. And third, is that going back to the one and done it is not a one and done, right? This is a, is a continuous process. So sometimes we have to be thinking about, are we doing it in a way that we will always be future ready, will be always be able to deal with the security threats that we don't even know about today. So yeah, >>You bring up the term future ready. And I hear that all the time. When you think of man, we really weren't future ready. When the pandemic struck, there was so much that wasn't there. And when I was talking with 49 earlier, I said, you know, how much, uh, has the pandemic been a, uh, a catalyst for so much innovation? I imagine it has been the same thing that >>Absolutely. And, you know, I remember, you know, early days, February, March, where we're all just trying to better understand, right? What is it going to be? And the first thing was, Hey, we're all going to work remote, is it a one week? Is it a two week thing? Right? And then if you're like the CIO or the CSO or other folks who are worried about how am I going to give the productivity tools, right. Businesses in a one customer we work with, again, tobacco innovation was said, Hey, I have 20,000 call center agents that I need to take remote. How do you deliver connectivity and security? Because that call center agent is the bloodline for that business interacting with their end customers. So I think, you know, it is accelerated what would happen over 10 years and 18 months, and it's still unknown, right? So we're still discovering the future. >>There's a, there will be more silver linings to come. I think we'll learn to pick your brain on, on sassy adoption trends. One of the things I noticed in your abstract of your session here was that according to Gardner, the convergence of networking and security into the sassy framework is the most vigorous technology trend. And coming out of 2020, seeing that that's a big description, most vigorous, >>It's a big, big description, a big statement. And, uh, we are definitely seeing it. You know, we saw some of that, uh, in the second half of last year, as the organizations were getting more organized to deal with, uh, the pandemic and the change then coming into this year, it's even more accelerated. And what I mean by that is that, you know, I look at sort of, you know, three things, right? So one is going back to the hybrid work, remote work, work from anywhere, right. So how do you continue to deliver a differentiated experience, highly secure to that workforce? Because productivity, human capital very important, right? The second is that there's a back and forth on the branch transformation. So yes, you know, restaurants are opening back up. Retailers are opening back up. So businesses are thinking about how do I do that branch transformation? And then the third is explosive business IOT. So the IOT end points, do you put into manufacturing, into airports in many industries, we continue to see that. So when you think about sassy and the framework, it's about delivering a, a framework that allows you to protect and secure all of those endpoints at scale. And I think that trend is real. I've seen customer demand, we've signed a number of deals. We're implementing them as we speak across all verticals, healthcare, retail, finance, manufacturing, transportation, government agencies, small businesses, mid-sized businesses. >>Nope, Nope. Not at all. Talk to me about, I'm curious, you've been at, at and T a long time. You've seen a lot of innovation. Talk, talk to me about your perspectives on seeing that, and then what to you think as a silver lining that has come out of the, the acceleration of the last 18 months. >>She and I, I get the question, you know, I've been with at and T long time. Right. And I still remember the day I joined at T and T labs. So it was one of my kind of dream coming out of engineering school. Every engineer wants to go work for a brand that is recognized, right. And I, I drove from Clemson, South Carolina to New Jersey Homedale and, uh, I'm still, you know, you can see I'm still having the smile on my face. So I've, you know, think innovation is key. And that's what we do at, at and T I think the ability to, um, kind of move fast, you know, I think what the pandemic has taught us is the speed, right? The speed at which we have to move the speed at which we have to collaborate the speed at which we have to deliver, uh, to agility has become, you know, the differentiator for all of us. >>And we're focusing on that. I also feel that, uh, you know, there have been times where, you know, product organizations, technology organizations, you know, we struggle with jumping this sort of S-curve right, which is, Hey, I'm holding onto something. Do I let go or not? Let go. And I think the pandemic has taught us that you have to jump the S-curve, you have to accelerate because that is where you need to be in, in a way, going back to the sassy trend, right. It is something that is real, and it's going to be there for the next three to five years. So let's get ready. >>I call that getting comfortably uncomfortable, no businesses safe if they rest on their laurels these days. I think we've learned that, speaking of speed, I wanna, I wanna get kind of your perspective on 5g, where you guys are at, and when do you think it's going to be really impactful to, you know, businesses, consumers, first responders, >>The 5g investments are happening and they will continue to happen. And if you look at what's happened with the network, what at and T has announced, you know, we've gotten a lot of kudos for whatever 5g network for our mobile network, for our wireless network. And we are starting to see that, that innovation and that innovation as we anticipated is happening for the enterprise customers first, right? So there's a lot of, you know, robotics or warehouse or equipment that needs to sort of, you know, connect at a low latency, high speed, highly secure sort of, you know, data movements, compute edge that sits next to the, to the campus, you know, delivering a very different application experience. So we're seeing that, you know, momentum, uh, I think on the consumer side, it is starting to come in and it's going to take a little bit more time as the devices and the applications catch up to what we are doing in the network. And if you think about, you know, the, the value creation that has happened on, on the mobile networks is like, if you think about companies like Uber or left, right, did not exist. And, uh, many businesses, you know, are dependent on that network. And I think, uh, it will carry on. And I think in the next year or two, we'll see firsthand the outcomes and the value that it is delivering you go to a stadium at and T stadium in Dallas, you know, 5g enabled, you know, that the experience is very different. >>I can't wait to go to a stadium again and see it came or live music. Oh, that sounds great. Rubbish. Thank you so much for joining me today, talking about what a T and T is doing with 49, the challenges that you're helping your customers combat at the edge and the importance of really being future. Ready? >>Yes. Thank you. Thank you so much. Really appreciate you having me. Thanks for 49 to invite us to be at this event. Yes. >>Thank you for refresh talk. She I'm Lisa Martin. You're watching the cube at the 40 net championship security summits.

>>Yeah, yeah, hello again and welcome to our last session of the day before we head to the meat. The experts roundtables how T Mobile is building a data driven organization with thought spot and whip prone. Today we'll hear how T Mobile is leaving Excel hell by enabling all employees with self service analytics so they can get instant answers on curated data. We're lucky to be closing off the day with these two speakers. Evo Benzema, manager of business intelligence services at T Mobile Netherlands, and Sanjeev Chowed Hurry, lead architect AT T Mobile, Netherlands, from Whip Chrome. Thank you both very much for being with us today, for today's session will cover how mobile telco markets have specific dynamics and what it waas that T Mobile was facing. We'll also go over the Fox spot and whip pro solution and how they address T mobile challenges. Lastly, but not least, of course, we'll cover Team Mobil's experience and learnings and takeaways that you can use in your business without further ado Evo, take us away. >>Thank you very much. Well, let's first talk a little bit about T Mobile, Netherlands. We are part off the larger deutsche Telekom Group that ISS operating in Europe and the US We are the second largest mobile phone company in the Netherlands, and we offer the full suite awful services that you expect mobile landline in A in an interactive TV. And of course, Broadbent. Um so this is what the Mobile is appreciation at at the moment, a little bit about myself. I'm already 11 years at T Mobile, which is we part being part of the furniture. In the meantime, I started out at the front line service desk employee, and that's essentially first time I came into a touch with data, and what I found is that I did not have any possibility of myself to track my performance. Eso I build something myself and here I saw that this need was there because really quickly, roughly 2020 off my employer colleagues were using us as well. This was a little bit where my efficient came from that people need to have access to data across the organization. Um, currently, after 11 years running the BR Services Department on, I'm driving this transformation now to create a data driven organization with a heavy customer focus. Our big goal. Our vision is that within two years, 8% of all our employees use data on a day to day basis to make their decisions and to improve their decision. So over, tuition Chief. Now, thank >>you. Uh, something about the proof. So we prize a global I T and business process consulting and delivery company. Uh, we have a comprehensive portfolio of services with presents, but in 61 countries and maybe 1000 plus customers. As we're speaking with Donald, keep customers Region Point of view. We primary look to help our customers in reinventing the business models with digital first approach. That's how we look at our our customers toe move to digitalization as much as possible as early as possible. Talking about myself. Oh, I have little over two decades of experience in the intelligence and tell cope landscape. Calico Industries. I have worked with most of the telcos totally of in us in India and in Europe is well now I have well known cream feed on brownfield implementation off their house on big it up platforms. At present, I'm actively working with seminal data transform initiative mentioned by evil, and we are actively participating in defining the logical and physical footprint for future architectures for criminal. I understand we are also, in addition, taking care off and two and ownership off off projects, deliveries on operations, back to you >>so a little bit over about the general telco market dynamics. It's very saturated market. Everybody has mobile phones already. It's the growth is mostly gone, and what you see is that we have a lot of trouble around customer brand loyalty. People switch around from provider to provider quite easily, and new customers are quite expensive. So our focus is always to make customer loyal and to keep them in the company. And this is where the opportunities are as well. If we increase the retention of customers or reduce what we say turned. This is where the big potential is for around to use of data, and we should not do this by only offering this to the C suite or the directors or the mark managers data. But this needs to be happening toe all employees so that they can use this to really help these customers and and services customers is situated. This that we can create his loyalty and then This is where data comes in as a big opportunity going forward. Yeah. So what are these challenges, though? What we're facing two uses the data. And this is, uh, these air massive over our big. At least let's put it like that is we have a lot of data. We create around four billion new record today in our current platforms. The problem is not everybody can use or access this data. You need quite some technical expertise to add it, or they are pre calculated into mawr aggregated dashboard. So if you have a specific question, uh, somebody on the it side on the buy side should have already prepared something so that you can get this answer. So we have a huge back lock off questions and data answers that currently we cannot answer on. People are limited because they need technical expertise to use this data. These are the challenges we're trying to solve going forward. >>Uh, so the challenge we see in the current landscape is T mobile as a civil mentioned number two telco in Europe and then actually in Netherlands. And then we have a lot of acquisitions coming in tow of the landscape. So overall complexity off technical stack increases year by year and acquisition by acquisition it put this way. So we at this time we're talking about Claudia Irureta in for Matic Uh, aws and many other a complex silo systems. We actually are integrated where we see multiple. In some cases, the data silos are also duplicated. So the challenge here is how do we look into this data? How do we present this data to business and still ensure that Ah, mhm Kelsey of the data is reliable. So in this project, what we looked at is we curated that around 10% off the data of us and made it ready for business to look at too hot spot. And this also basically help us not looking at the A larger part of the data all together in one shot. What's is going to step by step with manageable set of data, obviously manages the time also and get control on cost has. >>So what did we actually do and how we did? Did we do it? And what are we going to do going forward? Why did we chose to spot and what are we measuring to see if we're successful is is very simply, Some stuff I already alluded to is usual adoption. This needs to be a tool that is useable by everybody. Eso This is adoption. The user experience is a major key to to focus on at the beginning. Uh, but lastly, and this is just also cold hard. Fact is, it needs to save time. It needs to be faster. It needs to be smarter than the way we used to do it. So we focused first on setting up the environment with our most used and known data set within the company. The data set that is used already on the daily basis by a large group. We know what it's how it works. We know how it acts on this is what we decided to make available fire talksport this cut down the time around, uh, data modeling a lot because we had this already done so we could go right away into training users to start using this data, and this is already going on very successfully. We have now 40 heavily engaged users. We go went life less than a month ago, and we see very successful feedback on user experience. We had either yesterday, even a beautiful example off loading a new data set and and giving access to user that did not have a training for talk sport or did not know what thoughts, what Waas. And we didn't in our he was actively using this data set by building its own pin boards and asking questions already. And this shows a little bit the speed off delivery we can have with this without, um, much investments on data modeling, because that's part was already done. So our second stage is a little bit more ambitious, and this is making sure that all this information, all our information, is available for frontline uh, employees. So a customer service but also chills employees that they can have data specifically for them that make them their life easier. So this is performance KP ice. But it could also be the beautiful word that everybody always uses customer Terry, 60 fuse. But this is giving the power off, asking questions and getting answers quickly to everybody in the company. That's the big stage two after that, and this is going forward a little bit further in the future and we are not completely there yet, is we also want Thio. Really? After we set up the government's properly give the power to add your own data to our curated data sets that that's when you've talked about. And then with that, we really hope that Oh, our ambition and our plan is to bring this really to more than 800 users on a daily basis to for uses on a daily basis across our company. So this is not for only marketing or only technology or only one segment. This is really an application that we want to set in our into system that works for everybody. And this is our ambition that we will work through in these three, uh, steps. So what did we learn so far? And and Sanjeev, please out here as well, But one I already said, this is no which, which data set you start. This is something. Start with something. You know, start with something that has a wide appeal to more than one use case and make sure that you make this decision. Don't ask somebody else. You know what your company needs? The best you should be in the driver seat off this decision. And this is I would be saying really the big one because this will enable you to kickstart this really quickly going forward. Um, second, wellness and this is why we introduce are also here together is don't do this alone. Do this together with, uh I t do this together with security. Do this together with business to tackle all these little things that you don't think about yourself. Maybe security, governance, network connections and stuff like that. Make sure that you do this as a company and don't try to do this on your own, because there's also again it's removes. Is so much obstacles going forward? Um, lastly, I want to mention is make sure that you measure your success and this is people in the data domain sometimes forget to measure themselves. Way can make sure everybody else, but we forget ourselves. But really try to figure out what makes its successful for you. And we use adoption percentages, usual experience, surveys and and really calculations about time saved. We have some rough calculations that we can calculate changes thio monetary value, and this will save us millions in years. by just automating time that is now used on, uh, now to taken by people on manual work. So, do you have any to adhere? A swell You, Susan, You? >>Yeah. So I'll just pick on what you want to mention about. Partner goes live with I t and other functions. But that is a very keating, because from my point of view, you see if you can see that the data very nice and data quality is also very clear. If we have data preparing at the right level, ready to be consumed, and data quality is taken, care off this feel 30 less challenges. Uh, when the user comes and questioned the gator, those are the things which has traded Quiz it we should be sure about before we expose the data to the Children. When you're confident about your data, you are confident that the user will also get the right numbers they're looking for and the number they have. Their mind matches with what they see on the screen. And that's where you see there. >>Yeah, and that that that again helps that adoption, and that makes it so powerful. So I fully agree. >>Thank you. Eva and Sanjeev. This is the picture perfect example of how a thought spot can get up and running, even in a large, complex organization like T Mobile and Sanjay. Thank you for sharing your experience on how whip rose system integration expertise paved the way for Evo and team to realize value quickly. Alright, everyone's favorite part. Let's get to some questions. Evil will start with you. How have your skill? Data experts reacted to thought spot Is it Onley non technical people that seem to be using the tool or is it broader than that? You may be on. >>Yes, of course, that happens in the digital environment. Now this. This is an interesting question because I was a little bit afraid off the direction off our data experts and are technically skilled people that know how to work in our fight and sequel on all these things. But here I saw a lot of enthusiasm for the tool itself and and from two sides, either to use it themselves because they see it's a very easy way Thio get to data themselves, but also especially that they see this as a benefit, that it frees them up from? Well, let's say mundane questions they get every day. And and this is especially I got pleasantly surprised with their reaction on that. And I think maybe you can also say something. How? That on the i t site that was experienced. >>Well, uh, yeah, from park department of you, As you mentioned, it is changing the way business is looking at. The data, if you ask me, have taken out talkto data rather than looking at it. Uh, it is making the interactivity that that's a keyword. But I see that the gap between the technical and function folks is also diminishing, if I may say so over a period of time, because the technical folks now would be able to work with functional teams on the depth and coverage of the data, rather than making it available and looking at the technical side off it. So now they can have a a fair discussion with the functional teams on. Okay, these are refute. Other things you can look at because I know this data is available can make it usable for you, especially the time it takes for the I t. G. When graduate dashboard, Uh, that time can we utilize toe improve the quality and reliability of the data? That's yeah. See the value coming. So if you ask me to me, I see the technical people moving towards more of a technical functional role. Tools such as >>That's great. I love that saying now we can talk to data instead of just looking at it. Um Alright, Evo, I think that will finish up with one last question for you that I think you probably could speak. Thio. Given your experience, we've seen that some organizations worry about providing access to data for everyone. How do you make sure that everyone gets the same answer? >>Yes. The big data Girlfriends question thesis What I like so much about that the platform is completely online. Everything it happens online and everything is terrible. Which means, uh, in the good old days, people will do something on their laptop. Beirut at a logic to it, they were aggregated and then they put it in a power point and they will share it. But nobody knew how this happened because it all happened offline. With this approach, everything is transparent. I'm a big I love the word transparency in this. Everything is available for everybody. So you will not have a discussion anymore. About how did you get to this number or how did you get to this? So the question off getting two different answers to the same question is removed because everything happens. Transparency, online, transparent, online. And this is what I think, actually, make that question moot. Asl Long as you don't start exporting this to an offline environment to do your own thing, you are completely controlling, complete transparent. And this is why I love to share options, for example and on this is something I would really keep focusing on. Keep it online, keep it visible, keep it traceable. And there, actually, this problem then stops existing. >>Thank you, Evelyn. Cindy, That was awesome. And thank you to >>all of our presenters. I appreciate your time so much. I hope all of you at home enjoyed that as much as I did. I know a lot of you did. I was watching the chat. You know who you are. I don't think that I'm just a little bit in awe and completely inspired by where we are from a technological perspective, even outside of thoughts about it feels like we're finally at a time where we can capitalize on the promise that cloud and big data made to us so long ago. I loved getting to see Anna and James describe how you can maximize the investment both in time and money that you've already made by moving your data into a performance cloud data warehouse. It was cool to see that doubled down on with the session, with AWS seeing a direct query on Red Shift. And even with something that's has so much scale like TV shows and genres combining all of that being able to search right there Evo in Sanjiv Wow. I mean being able to combine all of those different analytics tools being able to free up these analysts who could do much more important and impactful work than just making dashboards and giving self service analytics to so many different employees. That's incredible. And then, of course, from our experts on the panel, I just think it's so fascinating to see how experts that came from industries like finance or consulting, where they saw the imperative that you needed to move to thes third party data sets enriching and organizations data. So thank you to everyone. It was fascinating. I appreciate everybody at home joining us to We're not quite done yet. Though. I'm happy to say that we after this have the product roadmap session and that we are also then going to move into hearing and being able to ask directly our speakers today and meet the expert session. So please join us for that. We'll see you there. Thank you so much again. It was really a pleasure having you.

>> Narrator: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Partner Awards brought to you by Amazon web services. >> Hi, and welcome back, I'm Stu Miniman and we're here at the AWS Public Sector. Their Partner Awards, really enjoying this. We get to talk to some of the diverse ecosystem as well as they've all brought on their customers, some really phenomenal case studies. Happy to welcome to the program two first time guests. First of all, we have Jared Bell, he's the Chief Engineer of self response, operational readiness at T-Rex Solutions and T-Rex is the award winner for the most customer obsessed mission-based in Fed Civ. So Jared, congratulations to you and the T-Rex team and also joining him, his customer Michael Thieme, he's the Assistant Director for the Decennial Census Program systems and contracts for the US Census Bureau, thank you so much both for joining us. >> Good to be here. >> All right, Jared, if we could start with you, as I said, you're an award winner, you sit in the Fed Civ space, you've brought us to the Census Bureau, which most people understand the importance of that government program coming up on that, you know, every 10 year we've been hearing, you know, TV and radio ads talking about it, but Jared, if you could just give us a thumbnail of T-Rex and what you do in the AWS ecosystem. >> So yeah again, my name's Jared Bell and I work for T-Rex Solutions. T-Rex is a mid tier IT federal contracting company in Southern Maryland, recently graduated from hubs on status, and so T-Rex really focuses on four key areas, infrastructure in Cloud modernization, cybersecurity, and active cyber defense, big data management and analytics, and then overall enterprise system integration. And so we've been, you know, AWS partner for quite some time now and with decennial, you know, we got to really exercise a lot of the bells and whistles that are out there and really put it all to the test. >> All right, well, Michael, you know, so many people in IT, we talk about the peaks and valleys that we have, not too many companies in our organization say, well, we know exactly, you know, that 10 year spike of activity that we're going to have, I know there's lots of work that goes on beyond that, but it tells a little bit , your role inside the Census Bureau and what's under your purview. >> Yes, the Census Bureau, is actually does hundreds of surveys every year, but the decennial census is our sort of our main flagship activity. And I am the Assistant Director under our Associate Director for the IT and for the contracts for the decennial census. >> Wonderful and if you could tell us a little bit the project that you're working on, that eventually pulled T-Rex in. >> Sure. This is the 2020 census and the challenge of the 2020 census is we've done the census since 1790 in the United States. It's a pillar, a foundation of our democracy, and this was the most technologically advanced census we've ever done. Actually up until 2020, we have done our censuses mostly by pen, paper, and pencil. And this is a census where we opened up the internet for people to respond from home. We can have people respond on the phone, people can respond with an iPhone or an Android device. We tried to make it as easy as possible and as secure as possible for people to respond to the census where they were and we wanted to meet the respondent where they were. >> All right. So Jared, I'd love you to chime in here 'cause I'm here and talking about, you know, the technology adoption, you know, how much was already in plans there, where did T-Rex intersect with this census activity? >> Yeah. So, you know, census deserves a lot of credit for their kind of innovative approach with this technical integrator contract, which T-Rex was fortunate enough to win. When we came in, you know, we were just wrapping up the 2018 test. we really only had 18 months to go from start to, you know, a live operational tests to prepare for 2020. And it was really exciting to be brought in on such a large mission critical project and this is one of the largest federal IT products in the Cloud to date. And so, you know, when we came in, we had to really, you know, bring together a whole lot of solutions. I mean, the internet self response, which is what we're going to to talk about today was one of the major components. But we really had a lot of other activities that we had to engage in. You know, we had to design and prepare an IT solution to support 260 field offices, 16,000 field staff, 400,000 mobile devices and users that were going to go out and knock on doors for a numeration. So it was real6ly a big effort that we were honored to be a part of, you know, and on top of that, T-Rex actually brought to the table, a lot of its past experience with cybersecurity and active cyber defense, also, you know, because of the importance of all this data, you know, we had the role in security all throughout, and I think T-Rex was prepared for that and did a great job. And then, you know, overall I think that, not necessarily directly to your question, but I think, y6ou know, one of the things that we were able to do to make ourselves successful and to really engage with the census Bureau and be effective with our stakeholders was that we really build a culture of decennial within the technical integrator, you know, we had brown bags and working sessions to really teach the team the importance of the decennial, you know, not just as a career move, but also as a important activity for our country. And so I think that that really helped the team, you know, internalize that mission and really drove kind of our dedication to the census mission and really made us effective and again, a lot of the T-Rex leadership had a lot of experience there from past decennials and so they really brought that mindset to the team and I think it really paid off. >> Michael, if you could bring us inside a little a bit the project, you know, 18 months, obviously you have a specific deadline you need to hit, for that help us understand kind of the architectural considerations that you had there, any concerns that you had and I have to imagine that just the global activities, the impacts of COVID-19 has impacted some of the end stage, if you will, activities here in 2020. >> Absolutely. Yeah. The decennial census is, I believe a very unique IT problem. We have essentially 10 months out of the decade that we have to scale up to gigantic and then scale back down to run the rest of the Census Bureau's activities. But our project, you know, every year ending in zero, April 1st is census day. Now April 1st continued to be census day in 2020, but we also had COVID essentially taking over virtually everything in this country and in fact in the world. So, the way that we set up to do the census with the Cloud and with the IT approach and modernization that we took, actually, frankly, very luckily enabled us to kind of get through this whole thing. Now, we haven't had, Jared discussed a little bit the fact that we're here to talk about our internet self response, we haven't had one second of downtime for our response. We've taken 77 million. I think even more than 78 million responses from households, out of the 140 million households in the United States, we've gotten 77 million people to respond on our internet site without one second of downtime, a good user experience, a good supportability, but the project has always been the same. It's just this time, we're actually doing it with much more technology and hopefully the way that the Cloud has supported us will prove to be really effective for the COVID-19 situation. Because we've had changes in our plans, difference in timeframes, we are actually not even going into the field, or we're just starting to go into the field these next few weeks where we would have almost been coming out of the field at this time. So that flexibility, that expandability, that elasticity, that being in the Cloud gives all of our IT capabilities was really valuable this time. >> Well, Jared, I'm wondering if you can comment on that. All of the things that Michael just said, you know, seem like, you know, they are just the spotlight pieces that I looked at Cloud for. You know, being able to scale on demand, being able to use what I need when I need it, and then dial things down when I don't, and especially, you know, I don't want to have to, you know, I want to limit how much people actually need to get involved. So help understand a little bit, you know, what AWS services underneath, we're supporting this and anything else around the Cloud deployment. >> Sure, yeah. Michael is spot on. I mean, the cloud is tailor made for our operation and activity here. You know, I think all told, we use over 30 of the AWS FedRAMP solutions in standing up our environment across all those 52 system of systems that we were working with. You know, just to name a few, I mean, internet self response alone, you're relying heavily on auto scaling groups, elastic load balancers, you know, we relied a lot on Lambda Functions, DynamoDB. We're one of the first adopters through DynamoDB global tables, which we use for a session persistence across regions. And then on top of that, you know, the data was all flowing down into RDS databases and then from there to, you know, the census data Lake, which was built on EMR and Elasticsearch capabilities, and that's just to name a couple. I mean, you know, we had, we ran the gamut of AWS services to make all this work and they really helped us accelerate. And as Michael said, you know, we stood this up expecting to be working together in a war room, watching everything hand in hand, and because of the way we, were able to architect it in partnership with AWS, we all had to go out and stay at home, you know, the infrastructure remain rock solid. We can have to worry about, you know, being hands on with the equipment and, you know, again, the ability to automate and integrate with those solutions Cloud formation and things like that really let us keep a small agile team of, you know, DevSecOps there to handle the deployments. And we were doing full scale deployments with, you know, one or two people in the middle of the night without any problems. So it really streamlined things for us and helped us keep a tight natural, sure. >> Michael, I'm curious about what kind of training your team need to go through to take advantage of this solution. So from bringing it up to the ripple effect, as you said, you're only now starting to look at who would go into the field who uses devices and the like, so help us understand really the human aspect of undergoing this technology. >> Sure. Now, the census always has to ramp up this sort of immediate workforce. We hire, we actually process over 3 million people through, I think, 3.9 million people applied to work for the Census Bureau. And each decade we have to come up with a training program and actually training sites all over the country and the IT to support those. Now, again, modernization for the 2020 census, didn't only involve the things like our internet self response, it also involves our training. We have all online training now, we used to have what we called verbatim training, where we had individual teachers all over the country in places like libraries, essentially reading text exactly the same way to exactly over and over again to our, to the people that we trained. But now it's all electronic, it allows us to, and this goes to the COVID situation as well, it allows us to bring only three people in at a time to do training. Essentially get them started with our device that we have them use when they're knocking on doors and then go home and do the training, and then come back to work with us all with a minimal contact, human contact, sort of a model. And that, even though we designed it differently, the way that we set the technology of this time allowed us to change that design very quickly, get people trained, not essentially stop the census. We essentially had to slow it down because we weren't sure exactly when it was going to be safe to go knocking on door to door, but we were able to do the training and all of that worked and continues to work phenomenally. >> Wonderful. Jared, I wonder if you've got any lessons learned from working with the census group that might be applicable to kind of, the broader customers out there? >> Oh, sure. Well, working with the census, you know, it was really a great group to work with. I mean, one of the few groups I worked with who have such a clear vision and understanding of what they want their final outcome to be, I think again, you know, for us the internalization of the decennial mission, right? It's so big, it's so important. I think that because we adopted it early on we felt that we were true partners with census, we had a lot of credibility with our counterparts and I think that they understood that we were in it with them together and that was really important. I would also say that, you know, because we're talking about the go Cloud solutions that we worked, you know, we also engage heavily with the AWS engineering group and in partnership with them, you know, we relied on the infrastructure event management services they offer and was able to give us a lot of great insight into our architecture and our systems and monitoring to really make us feel like we were ready for the big show when the time came. So, you know, I think for me, another lesson learned there was that, you know, the Cloud providers like AWS, they're not just a vendor, they're a partner and I think that now going forward, we'll continue to engage with those partners early and often. >> Michael the question I have for you is, you know, what would you say to your peers? What lessons did you have learned and how much of what you've done for the census, do you think it will be applicable to all those other surveys that you do in between the big 10 year surveys? >> All right. I think we have actually set a good milestone for the rest of the Census Bureau, that the modernization that the 2020 census has allowed since it is our flagship really is something that we hope we can continue through the decade and into the next census, as a matter of fact. But I think one of the big lessons learned I wanted to talk about was we have always struggled with disaster recovery. And one of the things that having the Cloud and our partners in the Cloud has helped us do is essentially take advantage of the resilience of the Cloud. So there are data centers all over the country. If ever had a downtime somewhere, we knew that we were going to be able to stay up. For the decennial census, we've never had the budget to pay for a persistent disaster recovery. And the Cloud essentially gives us that kind of capability. Jared talked a lot about security. I think we have taken our security posture to a whole different level, something that allowed us to essentially, as I said before, keep our internet self response free of hacks and breaches through this whole process and through a much longer process than we even intended to keep it open. So, there's a lot here that I think we want to bring into the next decade, a lot that we want to continue, and we want the census to essentially stay as modern as it has become for 2020. >> Well, I will tell you personally Michael, I did take the census online, it was really easy to do, and I'll definitely recommend if they haven't already, everybody listening out there so important that you participate in the census so that they have complete data. So, Michael, Jared, thank you so much. Jared, congratulations to your team for winning the award and you know, such a great customer. Michael, thank you so much for what you and your team are doing. We Appreciate all that's being done, especially in these challenging times. >> Thank you and thanks for doing the census. >> All right and stay tuned for more coverage of the AWS public sector partner award I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE. Covering AT&T Spark. (upbeat music) >> Hi, I'm Maribel Lopez, the founder of Lopez Research, and I am guest hosting theCUBE at the AT&T Spark event in San Francisco. And I have the great pleasure of being with Vishy Gopalakrishnan. He is the VP of ecosystems and innovation at AT&T. And Vishy, I've known you for a long time now. I've known you through companies that are as diverse as SAP to AT&T. Could you tell us a little bit about what VP of ecosystem and innovation does and this concept of the foundry that AT&T is having? >> Sure. First of all nice to see you again, Maribel. >> Paths cross. No new people, just different business cards. >> Exactly. So ecosystem and innovation. So this organization has been around at AT&T for about seven years or so. And it was set up to fundamentally answer this question: How can AT&T systematically tap into innovation that happens outside the company and then bring it inside, and then over a period of time become as good at adopting some of those principles of innovative thinking, innovative principles of problem-solving into the company itself? So if you think about ecosystem and innovation, there are three key pillars to ecosystem and innovation. One of them is called ecosystem outreach. So this is a part of the organization that acts as the interface to the broader startup NVC community. >> Right. >> Right. So this allows us to keep on top of innovation happening across a wide variety of technology waterfronts. Networking, security, virtualization, all the way up to AR, VR, AI machine-learning, et cetera. >> It wouldn't be innovation if they weren't together, right? People try to really parse them, but true innovation comes of looking at some of the intersections of technology. >> Absolutely. And we're also agnostic in some sense about where the innovation comes from. 'Cause all we're trying to do is apply innovation to a particular business problem. And the foundry is the second component of the ecosystem and innovation organization. Think of the foundry as centers of innovation. There are six of them around the globe. Four in the US, one in Tel Aviv, Israel, and the newest one in Mexico City that we opened in March. And these foundries represent fundamentally an environment within AT&T where we can rapidly prototype new technologies, de-risk new technologies before we introduce them into the rest of the organization and actually also provide a way for us to bring proactively new, promising areas of technology to the rest of the business. So the foundries, if you will, serve as the leading edge of technology innovation within a company like AT&T. >> Well I've been in The Valley for more than 10 years now, and I came from the East Coast, and the concept of an innovation lab and innovation foundry isn't new. We've seen it come and go with established companies and with new companies. So I remember the launch of the foundry. You said it's about seven years ago, now. I can't believe it's even been that long. What have you learned in that time, and how are you making it work? Because I think everybody wants to be innovative, and they want to take, particularly established companies, these innovations and bring them back into the corporation. Can you give us a little more color and context on what you think you've done well and what surprised you? >> That's a great point to make about the relative longevity of the organization within a company like AT&T. >> And it's grown, apparently, with all the new innovation centers. >> Yes. And we've expanded to other locations outside. I think some of the lessons we've learned are that no organization stands still. >> True. >> AT&T as we know it today is different from what AT&T was seven years ago. The kinds of businesses we're in, the kinds of capabilities that we have to bring to bear, markedly different from what it was seven years ago. And the nature of the competitive waterfront is also dramatically different. So, which means that as an innovation organization, we've had to evolve almost lockstep and sometimes ahead of the organization itself. So that's been one thing that we've done, is that we've made sure that we always are aware of where the company's going, so that as we look at what kinds of innovation might apply, might be relevant, might be material for the corporation, we know that it's always grounded in what the company wants to do now, in about two years from now. >> So forget the science projects and try to get something that's practical to the business, but also a bit edgy, right? >> Yes. >> You want to be edgy. >> Yes, and it's an art and a science. We like to focus on innovation that's in context. So pure innovation is kind of interesting, but we always like to bring it back to either an internal stakeholder or an external customer as a stakeholder to sign off and be almost the kind of the voice of reason to say yes, this is interesting technology, but this is how it might or might not apply to my business problem. >> Do they ask you for things? Does the organization come to you and say, "Hey, we're looking for blah and..."? >> Absolutely. In fact, a big part of what we do as an organization is actually keep the dialogue with the internal stakeholders kind of ongoing and active, so that we always need to be aware of, from a business standpoint, what are the imperatives that a business leader is facing. 'Cause let's face it, a lot of these business leaders within a corporation as large as AT&T are running P&Ls that are pretty large. So for us to bring relevant and material innovation to them, we have to be aware of what are the two or three top, key problem areas that they're looking at. Is it cost reduction? Is it operational simplification? If it's a big part for network organization, what parts of network optimization are they most interested in? So being aware of that informs us better and in some sense helps us curate what kinds of innovative solutions we bring to them. >> Now you are talking about how you put these innovation engines around the globe, and I imagine that you are learning and gaining different things and insights from these different groups because there are phenomenally different ways people use technology depending where they are in the world. So can you share a little bit with us about what's exciting, what you're seeing in the labs today, are there geographic differences that we should be aware of as business leaders when we think of trying to roll out technologies? >> Sure. I'll give a two-part answer. One of it from areas of kind of focus for us. >> Okay. >> One as we just finished the panel on edge compute, so that's a big focus for the foundry organization, is trying to understand the use cases in which edge computing might actually give a pretty dramatic improvement in user experience, what is the role of the network edge in doing that, so working with a broad ecosystem of partners, both established and start-ups to actually make that happen. So that's one big area of focus. The other thing we're doing is... A big part of AT&T's business is actually focused on the enterprise side to AT&T business. So we have two foundry locations, one in Plano and one in Houston, that are focused exclusively on customer co-creation with our enterprise customers. For the past five years, we focused exclusively on IOT and used the Plano foundry to co-create around IOT for customers. In terms of differences across geographies, I think the most salient one is the one in Mexico City. We actually started that with the very explicit intent of innovating for emerging markets. Emerging markets have the need for high-performing, high-quality solutions. >> At a low cost. >> Exactly. So you need to deliver them at a much, much lower cost than the emerging markets actually will bear. So which means that you have to frame the problem differently, you have to go about innovation very differently, and oftentimes, you'll have to tap into the local innovation ecosystem as well. So that's a big, big part of what we're doing in Mexico as well. Trying to tap into the global network that we have as a company through all of the six foundry locations but making sure that we're tailoring it to what the local Mexican market needs. >> I'm actually very excited to see how innovation has been rolling out around the world. One of the things that comes up in every dialogue I have around innovation right now and frankly in most products is AI. Do you see a role of AI happening in the foundry today? >> Yeah we've been doing work on AI for quite some time. In fact, we've been doing a series of projects for our internal organization around applying machine-learning techniques to some very complex network optimization problems. And we're doing that for about 18 months or so. And we've been looking at even ways to apply reinforcement learning to some very classic network problems as well. As part of some of the work that we're doing around edge, we're looking at ways to do influencing at the edge. For a variety of use cases, including, for example, a public safety or a first-responder kind of a use case. So absolutely, AI and machine-learning continue to be one of the areas that we spend a lot of time on. >> Well Vishy, it's been great talking to you today here at AT&T's shape, and look forward to seeing you again soon. >> Thank you, Maribel. Likewise. >> Maribel Lopez, speaking with theCUBE. Thank you. (upbeat music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE covering AT&T Spark. (techy music) Now here's Jeff Frick. >> Hey, welcome back everybody. Jeff Frick here at theCUBE. We're at AT&T's Spark event, it's up in San Francisco at the Palace of Fine Arts. It's really all about 5G, and we're excited to be here, you know, there's been a lot of conversation about 5G for a very, very long time, and we're super excited to have the expert in the field. Maribel Lopez has been following this forever. So Maribel, first off, thanks for stopping by, thanks for hosting a few segments and great to catch up. >> Excited to be here. >> Absolutely, so 5G, you've made a funny comment before we went on. You said, "Jeff, this 5G's been going on "forever and ever and ever, but now it's finally "starting to come to reality, to fruition." >> Yeah, I got to see all the Gs: the 2G, the 3G, the 4G, now the 5G, and you know, for a couple of years we were just talking about standards, and what's really exciting to me is that now people are talking about doing production stuff, you know, not just rolling in a test van and prototype equipment, but actual things that we might be able to see deployed within the coming year. >> Right. >> People are talking about lighting up cities. AT&T announced another five cities that they were going to put, actually seven, I think, on the calendar. >> Up to a dozen, I think, now, then they had another-- >> Yes, they had seven, they added another five-- >> Seven after that, right. >> And then another seven, so we're really starting to see momentum in 5G, it's going to happen. >> Right, so there's a bunch of things with 5G that are fundamentally different than the last G. >> Right. >> And the first one, right, is it wasn't really developed just for faster voice. That was not the objective of 5G. >> Yeah. >> It's really to take advantage of IoT and this whole kind of machine to machine world in which we're in right now. >> Yeah. >> That's a fundamental difference in terms of the applications that it can open up. >> Yeah, we're seeing... To your point, I mean, we talked a lot about bandwidth before. Yes, you get more bandwidth, but you also get lower latency, and that's the thing of how fast something can travel, and that opens up a huge amount of new applications like autonomous driving. If you want a wireless connection in autonomous driving you need 5G so you have that, you know, really sharp response time to make it happen. If you're doing remote medicine, you know, 5G gives you both bandwidth, but also the latency to see if something's happening so that you can do things that are real-time in nature. So, I think it's that real-time in nature with high speed that everybody's talking about. We saw eSports and gaming listed today, and the discussion about how you could now do it on a low-end PC because between your 5G network and new software you've got this huge opportunity with the cloud to just do a whole new, different way of gaming and entertainment, so lots of great applications are coming out with 5G. >> Yeah, it's pretty interesting on that demo, because it was an NVIDIA guy talking about-- >> Yes. >> Having basically an NVIDIA data center to do all the graphic computation back in the cloud at the NVIDIA data center-- >> Yeah. >> And then delivering it to whatever kind of low-end edge device that you had, in this case a laptop. The funny thing about the latency that I thought really kind of struck home for me was they talked about when your audio and your video are slightly out of sync when you're watching a video. >> Exactly. >> When it's just off a little bit. >> Mm-hm. >> Not enough like, "Wait, this is broken," but enough to actually get nausea. >> Yeah. >> You actually have a physical reaction, so I think that was really interesting. That is what's going to go away when we have the better connectivity speeds, everything else with 5G. >> And I think that's when one of the things that's been holding back the immersive nature of new applications like VR, so that disconnect that you talked about is really important to get rid of that, and you can get rid of part of that with wireless and part of it with low latency. So, if we get the headsets a little smaller and we get more content I think we'll start to get a better vision of what's happening there. I also think we're starting to see these things come into the enterprise. You know, the enterprises are really taking 5G seriously. They're looking at doing things like their own private 5G networks in things like manufacturing and robotics, for example. >> Right, right, yeah, the private 5G, interesting, in a lot of conversation, too, about doing it for the first responders to have their own dedicated network, but one of the topics I thought interesting was the commitment to software and the commitment to opensource, and we've kind of seen the rise of the telcos and OpenStack. >> Yeah. >> We've been covering OpenStack, I think since 2013, and you could see with each and every passing year that the telco presence within the OpenStack community just increased and it really seemed to find a home, and here they dedicated a whole keynote session to AT&T's embracing of opensource. >> Yeah, opensource is actually interesting because I think it's counterintuitive to think that a large enterprise customer like AT&T would go so deep into opensource, but when you really think of it, if you want to be innovative and you want to run at, you know, what we now consider cloud speed-- >> Right. >> Digital native speed, then you need to have that concept of opensource and open APIs to build on top of so that really what you're focusing on is the part of your business that differentiates you, not on building the whole stack. So, the days of building, like, your whole stack from scratch are over, and opensource is really important, and what I found really interesting about that was the takeaway that so many companies, even competitors of each other, had all thrown in on this concept of this opensource technology so that they could basically bootstrap their innovation. >> Right, the other kind of theme that kind of came up, which I found really interesting, is if you've ever seen Jeff Bezos speak on his investment in Blue Origin. >> Yeah. >> He talks very specifically that he wants to put a platform in play-- >> Mm-hm. >> Leveraging the winnings that he's gotten from Amazon to enable future entrepreneurs to have an infrastructure in which they can build cool applications-- >> Absolutely. >> In this case for space. We heard the same message here within this kind of 5G, that the concept of, you know, kind of infinite compute, infinite bandwidth-- >> Right. >> And infinite storage asymptotically approaching zero, what applications would you build in that world, and really this constant conversation of experience, whether that be a business experience, a consumer experience-- >> Yeah. >> A first responder experience, is really what's behind kind of the excitement on this 5G conversation. >> I think there was always a disconnect of when you get data, and how quickly you can analyze that data and get it back to somebody to do something meaningful, so this whole experience is about even if you are not holding a 5G handset or some 5G thing in your hand or elsewhere, what that will do is because they've built the 5G infrastructure you get the opportunity to make 4G better for everybody. So, I think people think, "Oh, I've got to wait for 5G." It's like, "No, you're going to see the benefits "of 5G long before everybody's ubiquitously deployed, "long before everybody has 5G devices." >> Right. >> Things are just going to work better, and you can get that data faster and new experiences faster, so I'm excited for it. >> Right, and then the other piece that we hear over and over, right, is AI and machine learning, and again-- >> Absolutely, mm-hm. >> It's not AI and machine learning just for the sake of AI and machine learning. It's baked into all these other applications to make them all work better, and again, that's another big thing that we hear here at the keynotes. >> Yeah, I think the AI and machine learning is interesting because we've had it for a long time, but now everybody has access to it, right? We've got cloud services that give you algorithms, we've got massive compute, and now we've got the ability to take all the data from IoT sensors and other things and get it back to either a centralized place, or to do edge compute on it, which I think is really exciting. >> Right, so just to wrap, get your kind of your final impressions on kind of the show-- >> Yeah. >> And again, you said you'd been here for all the Gs, (laughs) so is a 5G, is this a big difference from our prior step functions? >> I think it is because of that latency that we talked about and the ability to do much more real-time, data intensive apps. So, you've always had this concept of moving to more data, but it had lower latency, it might've had a higher cost. Now we're getting that right kind of combination of cost, bandwidth, real-time nature, so I think every G gets better and 5G is just better than 4G, but in different ways, so-- >> All right, well Maribel, thanks again for stopping by, and also for helping us out guest hosting a few segments. >> Thank you. >> All right, (chuckles) she's Maribel, I'm Jeff, you're watching theCUBE. We're at AT&T Spark in San Francisco, thanks for watching. (techy music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE! Covering AT&T Spark. (bubbly music) >> Hello! I'm Maribel Lopez, the Founder of Lopez Research, and I am here today at the AT&T Spark event in San Francisco and I have great pleasure and honor of interviewing Mazin Gilbert, who is the VP of Advanced Technology and Systems at AT&T. We've been talking a lot today, and welcome Mazin. >> Thank you, Maribel for having us. >> We've been talking a lot today about 5G, 5G is like the first and foremost topic on a lot of people's mind that came to the event today, but I thought we might step back for those that aren't as familiar with 5G, and maybe we could do a little 5G 101 with Mazin. What's going on with 5G? Tell us about what 5G is and why it's so important to our future. >> 5G is not another G. (Maribel laughs) It really is a transformational and a revolution really to not to what we're doing as a company, but to society and humanity in general. It would really free us to be mobile, untethered, and to explore new experiences that we've never had before. >> Do I think of this as just faster 4G? Because we had 2G, then 3G, then 4G, is 5G something different? When you say it allows us to be mobile and untethered, don't we already have that? >> No we don't. There are a lot of experiences that are not possible to do today. So imagine that having multiple teenagers experiencing virtual reality, augmented reality, all mobile, while they are in the car all in different countries; we can't have that kind of an experience today. Imagine cars as we move towards autonomous cars, we cannot do autonomous cars today without the intelligence, the speeds and the latency with 5G, so that all cars connect and talk to each other in a split of a second. >> See, I think that's one of the real benefits of this concept of 5G. So when you talk about 5G, 5G is yes more bandwidth, but also lower latency, and that's going to allow the things that you're talking about. I know that you also mention things such as telemedicine, and FirstNet network, any other examples that you're seeing that you think are really going to add a difference to peoples lives going forward as they look at 5G? >> 5G is a key enabler in terms of how these experiences are going to really be transformed. But when you bring in 5G with the edge compute. Today, think of compute, and storage, and securing everything, is sitting somewhere, and as you're talking, that something goes to some unknown place. In the 5G era, with the edge, think of computer storage as following you. And now-- >> So you're your own data center. (laughs) >> You're pretty much your own data center. Wherever you go with every corner, there's a data center following you right there. And now add to that, we're transforming our network to be programmable with our software-defined network, and add AI into that, bringing all of this diamond together, the 5G, the edge, programming the network with software-defined, and AI, and that is what the new experiences is. This is when you'll start seeing really an autonomous world. A world in which that we're able to experience drones flying and repairing cell sites, or repairing oil tanks, without us really being involved, from being in our living room watching a movie. This is a world that is extremely fascinating, a world in which that people can interact and experience family reunion, all virtually in the same room, but they're all in different countries. >> I do think there's this breakthrough power of connectivity. We've talked about it in the next generation of telemedicine, you mentioned some of the dangerous jobs that we'd be able to use drones for, not just for sort of hovering over peoples gorgeous monuments or other things that we've seen as the initial deployments, but something that's really meaningful. Now I know the other topic that has come up quite a bit, is this topic of opensource, and you're in the advanced technology group, and sometimes I think that people don't equate the concept of opensource with large established organizations, like an AT&T, but yet, you made the case that this was foundational and critical for your innovation, can you tell us a little bit more about that? >> Opensource is really part of our DNA. If you look at the inventions of the Unix, C, C++, all originated from AT&T Labs and Bell Labs, we've always been part of that opensource community. But really in the past five years, I think opensource has moved to a completely another level. Because now we're not just talking about opensource, we're talking about open platforms, we're talking about open APIs. What that means is that, we're now into-- >> A lot of open here. (laughs) >> Everything open in here. And what that really means is that we no longer as one company, no one company in the world can make it on their own. The world-- >> K, this is a big difference. >> It's a big difference. The world is getting smaller, and companies together, for us to really drive these transformational experiences companies need to collaborate and work with each other. And this is really what opensource is, is that, think of what we've done with our software-defined network, what we called ONAP in the opensource, we started as a one company, and there was another, one of the Chinese mobile companies also had a source code in there. In the past one year, we now have a hundred companies, some of the biggest brand companies, all collaborating to building open APIs. But why the opensource and open API is important, enables collaboration, expedite innovation, we've done more in the past one year than what we could've done alone for 10 years, and that's really the power of opensource and open platforms >> I totally agree with you on this one. One of the things that we've really seen happen is as newer companies, these theoretically innovative companies have come online, cloud native companies, they've been very big on this open proponent, but we're also seeing large established companies move in the same direction, and it's allowing every organization to have that deeply innovative, flexible architecture that allows them to build new services without things breaking, so I think it's very exciting to see the breadth of companies that you had on stage talking about this, and the breadth of companies that are now in that. And the other thing that's interesting about it is they're competitors as well, right? So, there's that little bit of a edgy coopetition that's happening, but it's interesting to see that everybody feels that there's room for intense innovation in that space as well. So we've talked a little bit about opensource, we've talked about 5G, you are in advanced technology, and I think we'd be remiss to not talk about the big two letter acronym that's in the room that's not 5G, which would be AI. Tell me what's going on with AI, how are you guys thinking about it, what advice do you have for other organizations that are approaching it? Because you are actually a huge developer of AI across your entire organization, so maybe you could tee up a little bit about how that works. >> AI is transformational, and fundamental for AT&T. We have always developed AI solutions, and we were the first to deploy a AI in call centers 20 years ago. >> 20 years ago, really? >> 20 years ago. >> You were doing AI 20 years ago? >> 20 years ago. >> See, just goes to show. >> 20 years ago. I mean AI really, if you go to the source of AI, it really goes in the '40s and '50s with pioneers like Shannon and others. But the first deployment in a commercial call center, not a pilot, was really by AT&T. >> An actual implementation, yeah. >> With a service, we called it how may I help you. And the reason we put that out, because our customers were annoyed with press one for this and press two for billing, they wanted to speak naturally. And so we put the system that says "How may I help you?" and how may I help you allowed the customer to tell us in their own language, in their own words, what is it that they want from us as opposed to really dictating to them what they have to say Now today, it's really very hard for you to call any company in the world, without getting a service that uses some form of speech recognition or speech understanding. >> Thankfully. (laughs) >> But where we're applying it today and have been for the past two, three years, we're finding some really amazing opportunities that we've never imagined before. AI in its essence, is nothing more than automation leveraging data. So using your data as the oil, as the foundation, and driving automation, and that automation could be complete automation of a service, or it could be helping the human to doing their job better and faster. It could be helping a doctor in finding information about patients that they couldn't have done by themselves by processing a million records all together. We're doing the same thing at AT&T. The network is the most complex project ever to be created on the planet. And it's a complex project that changes every second of the day as people move around, and they try different devices. And so to be able to optimize that experience, is really an AI problem, so we apply it today to identify where to build the next cell sites all the way to what's the right ad to show to the customer, or, how do we really make your life easier with our services without you really calling our call center, how do I diagnose and repair your setup box before you're calling us? All of that foundation is really starting to be driven by AI technologies, very exciting. >> Well I'm actually very excited to see where AI takes us, and I'm excited to hear about what you're doing in the future. Thanks for takin' the time to come here today, >> It's my pleasure. >> And be with us on theCUBE. Thank you. >> It's always a pleasure talking to you, thank you very much. >> I'm Maribel Lopez closin' out at AT&T Spark, thank you. (bubbly music)

>> From the palace of fine arts in San Francisco it's the Cube. Covering AT&T Spark, now here's Jeff Frick. >> Hey, welcome back everybody, Jeff Frick here with the Cube. We're at the Palace of Fine Arts in San Francisco at the AT&T Spark event and it's all about 5G. 5G is this huge revolution and I haven't got a definitive number but it's something on the order of hundred X, improvement of speed and data throughput. There's a lot of excitement but one of the things that is less talked about here but it was actually up on the keynote was really the roll of opensource and AT&T talked a lot about opensource and how important it is and really redefining the company around the speed of software development versus the speed of hardware development and that's a big piece of it. We're excited to have somebody who knows all about opensource our next guest he's Jeff McCaffer. He's the Director of Opensource Progress Officer at Microsoft, did I get that right Jeff? >> No, well it said Opensource Programs Officer. >> Programs Officer. >> Yep. >> So you do all about opensource. >> Yeah. >> Well first off, welcome. >> Thank you very much Jeff, it's good to be here. >> So Microsoft, you know, no one would have ever thought, I mean, you know, I'm probably dating myself. 15 years ago with that Microsoft would be a big component of opensource but in fact they're a huge proponent of opensource. >> Absolutely, even just not so long ago you know, it was not the foremost in everybody's mind that Microsoft would be doing opensource. But now it's a core part of our company. It's a core part of how we work and our engagement with the rest of the industries. So it's really growing and it's continuing to grow. >> So how did it kind of get there and what are some of the real key components that you have to worry about in your role to managing, you know, participating in all these various communities all over the place. >> Yeah, well I mean it's been a long road but it's really the way software's happening today, you mention in the intro about the dispute of software versus hardware and software's just going so fast and you know, you can aspire to be world class but when everybody else starts there with opensource, you know it's really hard to start from zero get to there. So we're really happy to be you know, using opensource and contributing. One of the real challenges we've had going forward is the scale like simply we've got literally millions of uses of opensource across all of our products and services. And managing that, keeping track of it, engaging with those, all those communities and everything is a real big challenge. So we've been building paulo season tools and changing the culture to understand that you know, you need to engage, push fixes back, all those sorts of things. And then when we look at our releasing our software, we have thousands of opensource repositories on GitHub, thousands of developers at Microsoft working on GitHub repositories, our own and others in the community. So it's just managing all of that as being a really big challenge. >> Right and it's interesting cause the opensource projects themselves, we've seen at time and time again. You know, they fork and they go a lot of different directions. There's sometimes disagreement about direction. >> Sure. >> And prioritization, so you've got a kind of manage that within the opensource thread but as well as within, you know, where those products play a role in your products. >> Right, right and we've taken a sort of federated model in the company, we're very diverse as you know right and so my team sort of helps put guidelines in place for for project teams to run and then those project teams run their own program. How they engage with opensource, however they want to and sort of at the level they want to that matches their business requirements. So it ranges everywhere from people who are fully opensource to folks who are just you know, using a little bit of stuff here and there within their products. >> Right, what if you could speak a little to opensource and the role that it plays in employee happiness, employee retention cause you know, there's so much goodness and you see it at these shows. >> Absolutely. >> Where there's particular contributors that you know, they're rock stars in their community. They've made super important contributions. >> Yeah. >> They've managed the community and I always think back, if you're the person managing that person back at the office you know, how much time do they put into their opensource effort? >> Sure. >> How much time do they put in their company efforts? How much of their time is really the company software that's built on top of that opensource. >> Yeah. >> And how do you manage that because it is a really important piece for a lot of people's personas. >> Absolutely. >> And their self values. >> Yeah, well and there's been a lot of research that says also that high performing teams, one of the traits of high performing teams is engaging in opensource. And at the personal level like individuals, there's kind of a different set of possibilities there, you know, either you're engaging in opensource for part of your product work, right, so that's sponsored by the company. Or you might be doing some things on the side or some tangential range in between there, right? >> Right. >> And sort of all of those you need to drive to the appropriate level, the folks who are working on it day to day for their, for the company. There's some really interesting dynamics that can get setup. Super exciting for the team, sometimes it can get a little waylaid maybe but you know, you want to keep them, keep them on task. But then also the, the folks who are doing it of their own volition, like on their own time and that sort of thing. That also brings back a bunch of energy and everything into the workplace. New technologies that they'll discover in their area and they'll bring back the energy and the excitement about engaging back to the regular team. >> Right. >> So there's lots of possibilities there. >> So what brings you here, what brings you to AT&T Spark today? >> Well they invited me to speak on a panel earlier today about opensource and the future of opensource and so I had a, there were a couple of other people from Linux Foundation and from AT&T. So we had a good conversation on stage. >> Yeah it's pretty interesting how, pretty much all these projects you know, eventually get put in to the Linux Foundation. That they, you know, they've just kind of become this defacto steward for a wide variety of opensource projects. >> Yeah, well there's a number of different foundations, Linux Foundation's certainly one of the better known ones, the Eclipse Foundation, Apache. >> Right, Apache yeah, right. >> Been around lots of times doing lots of good things. So there's a ton of amazing projects out there in all of these foundations. And it's just super exciting to see them all be engaging like in this sort of cohesive right, and with a good governance model. >> Right. >> Yep. >> So I'll give you the last word, one of my favorite lines always that's opensource is opensource is free like a puppy. >> Yes, it's totally free like a puppy. >> So, you know, you're living in that world, what is one of the things about opensource that most people miss, one of the really positive attributes that most people just don't see. And then what's one of the big, you know kind of biggest, kind of ongoing challenges, that's just part of operating in this opensource world? >> Well I mean, I phrase it in challenges and opportunities, right, there are obviously lots of challenges, like I was saying with scale and managing security. And the culture change that goes around collaboration and that sort of thing. The opportunities, I think are boundless really, I mean there's, one of the most gratifying things that you can see as an opensource project, is people take your technology and use it in ways you never imagined. Right, so there's, we can think of that as our products too and we take our products and they've got opensource APIs. They've got opensource frameworks and such. And people take them and do amazing things with them that we never imagined possible. And that just, that part is really exciting and invigorating. >> Yeah, alright Jeff well thanks for taking a few minutes. >> Sure. >> Congrats on all your work and I guess we'll see you in Orlando in a month or so. >> Okay, possibly. >> Alright, he's Jeff, I'm Jeff, we're all Jeffs here and we're at the Palace of Fine Arts at AT&T Spark, thanks for watching, see you next time. (upbeat music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE, covering AT&T Spark. Now here's Jeff Frick. >> Hey, welcome back, everybody. Jeff Frick here with theCUBE. We're at the Palace of Fine Arts in San Francisco at the AT&T Spark event. It's really all about 5G and what 5G is going to enable. You know, this is a really big technology that's very, very close. I think a lot closer than most people understand. And one of the most important components of 5G is it was designed from the ground up really not so much for people-to-people communications as much as machine-to-machine communications. So we're really excited to have someone who's right in the thick of that and talk about the implications, especially another topic that we hear all the time, which is Edge computing. So it's Alicia Abella. She is the VP of Operational Automation in Program Management from AT&T Labs. Alicia, welcome. >> Thank you for having me, Jeff. >> Absolutely. So we were talking a little bit before we turn on the cameras about 5G and Edge computing. And how the two, while not directly tied together, are huge enablers of one another. I wonder if you can unpack a little bit about why is 5G such an important component to kind of the vision of Edge computing? >> Sure, absolutely. Yeah, happy to do so. So Edge computing is really about bringing processing power closer to the end device, closer to the end user, where a lot of the processing data analytics has to occur. And you want to do that because you want to be able to deliver the services and applications close to the edge, close to where the customer is, so that you can deliver on the speeds that those applications need. 5G plays a role because 5G is promising to be very fast and also very reliable and very secure. So now you've got three things to your advantage paired up with Edge to be able to deliver on a lot of these use cases that we hear a lot about when we talk about 5G, when we talk about Edge. Some example use cases are the autonomous vehicle. The autonomous vehicle is a classic example for Edge computing as well as 5G. And in fact, it illustrates a kind of continuum, because you can have processing that always has to remain in the car. Anything related to safety? That processing has to happen right on that device. The device in this case being the car. But there are other processing capabilities, like maybe updates to real-time maps. That could happen on the Edge. You still have to be near real-time, so you want to have that kind of processing and updating happening at the Edge. Then maybe you have something where you want to download some new entertainment, a movie to your car. Well, that can reside back at the data center, further away from where the device or the car is. So you've got this continuum. >> So really, what the 5G does is really open up the balance of how you can distribute that store computing and communications. It's always about latency. At the end of the day, it's always about latency. And as much as we want to get as much compute close, oh, and also, I guess power. Power and latency. >> Power and Edge actually go hand-in-hand as well. >> It's a big deal, right? >> Mhm. >> So what you're saying is, because of 5G, and the fact that now you have a much lower latency, faster connectivity port, you can now have some of that stuff maybe not at the Edge and enable that Edge device to do more, other things? >> Yes, so I often like to say that we are unleashing the device away from having it be tethered to the compute processor that's handling it and now you can go mobile. Because now what you do is, if the processing is happening on the Edge and not on the device, you save on battery life, but you also make the device more lightweight, easier to manage, easier to move around. The form factor can become smaller. So there's also an advantage to Edge computing to the device as well. >> Right. It's pretty interesting. There was an NVIDIA demo in the keynote of running a video game on the NVIDIA chips in a data center and pumping a really high resolution experience back out to the laptop screen I think is what he was using it for. And it's a really interesting use case in how when you do have these fast, reliable networks, you can shift the compute, and not just a peer compute, but the graphics, et cetera, and really start to redistribute that in lots of different ways that were just not even fathomable before. Before you had to buy the big gaming machine. You had to buy the big, giant GPU. You had to have that locally, and all that was running on your local machine. You just showed a demo where it's all running back in their data center in Santa Clara. Really opens up a huge amount of opportunity. >> That's right. So Edge computing is really distributed in nature. I mean, it is all about distribution. And distributing that compute power wherever you need it. Sprinkling it across the country of where you need it. So we've gone, there's been this pendulum shift, where we started with the mainframe, big rooms, lots of air conditioning, and then the pendulum swung over to the PC. And that client-server model. Where now you had your PC and you did your computing locally. And then it swung back the other way for Cloud computing where everything was centralized again and all that compute power was centralized. And now the pendulum is swinging back again the other way to this distributed model where now you've got your compute capabilities distributed across the country where you need it. >> Right. So interesting. I mean, networking was the last of the virtualized platform between storage and compute, and then finally networking. But if you really start to think of a world with basically infinite power, compute, infinite store, and infinite networking, basically asymptotically approaching zero pricing. Think of the world from that way. We're not there. We're never going to get to that absolute place, but it really opens up a lot of different ways to think about what you could do with that power. So I wonder if there's some other things you can share with us. At Labs, you guys are looking forward to this 5G world. What are some of the things that you see that just, wow, I would have never even thought that was even in the realm of possibility that some people are coming up with? >> Yeah. >> Any favorites? >> Oh, I think one of our favorites is certainly looking at the case of manufacturing. Even though you would think of manufacturing as very fixed, the challenge with manufacturing is that a lot of those robotics capabilities that are in the manufacturing assembly lines, for example, they're all based on wires and they can't change and upgrade what they're doing very quickly. So being able to deliver 5G, have things that are wireless, and have Edge compute capabilities that are very powerful means that they can now shift and move around their assembly lines very quickly. So that's going to help the economy. Help those businesses be able to adapt more quickly to changes in their businesses. And so that's one that is quite exciting to us. And I would say the next one that's also exciting for us would be, we talked about autonomous vehicles already, 'cause that one's kind of far out, right? >> I don't think it's as far as most people think, actually. We covered a lot of autonomous vehicle companies, and there's just so much research being done now. I don't think it's as far out as people think. >> Yes, and so I think we are definitely committed to deploying Edge compute. And in the process, from a more technical perspective, I think one of the things that we are going to be interested in doing is, and you alluded to it before, is how do you manage all of those applications and services and distribute them in a way that is economical, that we can do it at scale, that we can do it on demand? So that too is part of what's exciting about being able to deploy Edge. >> Yeah. It's pretty interesting, the manufacturing example, 'cause it came up again in the keynote to really embracing software-defined, embracing open source. And the takeaway was moving at the speed of software development, not moving at the speed of hardware development. Because software moves a lot faster. And can be more flexible. It's easy to respond to market demands, or competitive demands, or just to innovate a lot faster. So really taking that approach, and obviously a lot of conversation about you guys in the open Stack community and the open-source projects enables you and your customers to start to adapt to software-defined innovation as opposed to just pure hardware-defined innovation. >> That's right. That's right, yup. >> Alright, Alicia, I'll give you the final word. Any surprises? Oh, no, you've got a chat coming up, so why don't you give us a quick preview for what your conversation is going to be about later today? >> Yeah, thank you, Jeff. So yeah, later I'll be talking about AT&T's initiatives around encouraging women to pursue stem fields. In particular, computer science. It turns out that the number of women getting undergraduate degrees in computer science peaked in the mid-80s. And it's been going downhill since. Last year, only 17% of women were getting degrees in computer science So AT&T's mission, and what we announced today was a million dollar donation to the Girls Who Code organization. That's one of many different non-profit organizations that AT&T is involved with to make sure that we continue to encourage young women and also underrepresented minorities and others who want to get in the stem fields to get involved because technology is changing very quickly. We need people who can understand the technology, who can develop the software we talked about, and we need to get that pipeline filled up. And so we're very committed to helping the community and helping to encourage young girls to pursue degrees in stem. >> That's great. Girls Who Code is a fantastic organization. We've had 'em on. Anita Borg, I mean, there's so much good work that goes on out there, so that's a great announcement. And congratulations. >> Thank you. >> And I'm sure that's a meaningful contribution. >> Yeah, thank you. >> So Alicia, thanks for stopping by, and good luck this afternoon, and we'll see you next time. >> Thank you, Jeff. >> Alright. >> Appreciate it. >> She's Alicia, I'm Jeff. You're watching theCUBE. We're at AT&T Spark in downtown San Francisco. Thanks for watching. (upbeat electronic music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE covering AT&T Spark. (techy music) Now here's Jeff Frick. >> Hey, welcome back, everybody, Jeff Frick here with theCUBE. We're at the Palace of Fine Arts in San Francisco at the AT&T Spark event. It's all about 5G, you know we've been hearing about 5G for a long, long time, that 5G is coming, it's in cities, there's more cities that it's rolling out to, it's lots of special networks, so we're excited to be here as it becomes real, and we've got a guy who's right in the middle of the weeds, right in all the devices. He's Gordon Mansfield, the VP of converged access and device technology at AT&T, Gordon, welcome. >> Thank you. >> So, what do you think? You've probably been looking at this 5G stuff for a long, long time. It feels like we're finally getting pretty close. >> We're getting really close, you know, we're gearing up to launch our first 12 markets this year, and just this past weekend we made the first end-to-end call across our production network with a mobile form factor device, so we're real close and we're real excited. >> So, that just happened, right, this first call? >> It just happened this past weekend. So, what were some of the final hurdles to finally get that little milestone that you guys have probably been looking forward to for while? >> Yeah, so the final hurdles is really getting the device modems into, you know, that form factor device, that mobile form factor to where it can be portable, you can carry it-- >> Right. >> And make these fantastic mobile data calls, and so getting that technology, working together, communicating with the network infrastructure, that work just finished, or there's multiple stages, but a critical stage just got completed last week. We were able to take that technology straight to the field in Waco, Texas, and start demonstrating and working with it live in our production network. >> So, do you get the dog out and he can hear his master's voice when you do that first phone call? >> Well... (laughs) You know... >> The old RCA. >> It's pretty close. >> I know, nobody knows what we're even talking about, right, too old. >> (chuckles) They don't, do they? >> So, the other thing that's really interesting about 5G compared to the other, prior roll-outs is really the focus on devices, and you're in charge of devices and devices is a lot more than just handsets, right? >> Yeah. >> This was really designed for the industrial internet and IoT, and really a whole swath of device-to-device communication. How did that kind of change the way you look at your job? >> Yeah, so you know, we've been working on IoT and modules in the IoT space, but with 5G you start to enable lots of new capabilities with very high bandwidth, low latent applications, which allows us to revolutionize various vertical industries, and so now it's no longer just about the smartphone or the tablet, but it's about anything and everything that you can imagine-- >> Right. >> And so, you know, I tell people all the time, you know, when we first start talking about technology we really think about some cool things, but the reality is we barely touch the surface, and so you know, people will just begin to imagine the capabilities that 5G will unleash and you'll start to put, you know, the capabilities into everything from a refrigerator to robot arms on a manufacturing floor and all kinds of points in between. >> Right, you know it's funny, we go to a lot of tech conferences, and we were just at VMworld a couple weeks ago and you know, Michael Dell said on air that, you know, the edge will actually be bigger than the cloud, and right, it's been all about cloud for the last several years. >> Yeah. >> Now it's all about edge. Well, the key to edge is connectivity, and that's a really important piece of the 5G story. >> Absolutely, if you take your compute power and you push it further to the edge you've got to then connect, and so you can put very low-cost, low horsepower components on the edge, connect them, you know, so in a device, connect them to the edge and come up with some pretty powerful capabilities. >> Yeah, and the other interesting thing from your guys' point of view, having dealt with handsets for so long, is just the whole low power, and a lot of the edge type applications are going to be in remote areas, difficult to get to areas, difficult to plumb areas, so the whole experience with low power combined with the low latency is really a big game changer. >> That's absolutely correct, so when you take low power you can put battery devices that last years-- >> Right. >> And have them in remote locations, sensors, et cetera, and have them connect in a low-latent, high-bandwidth way to deliver, you know, anything that you can imagine. >> Right, so it feels to me that there's really not the buzz around 5G that there should be, and I don't know because we've kind of heard about it for a while and it's kind of been in extended development or people just aren't paying attention, but what's interesting, a lot of conversations in the keynotes talking about experiences. >> Mm-hm. >> Really changing the way you can think about developing applications for experiences based on this technology. We saw the NVIDIA demo where they're running NVIDIA processors in their cloud and sending it to a laptop here, where before you'd have to spend thousands of dollars on a local machine. As you look back, what are some of the things that you've seen, either in testing or conversations, that maybe people just don't have any perception of how this is going to change some of their day-to-day activities? >> So, I don't think people, you know, unfortunately we've become immune. The devices, right, the processing power that we put in devices that people carry in their pocket, they keep going up and up. The reality is at some point you've got to flatten that to... From a consumer perspective you've got to flatten that to have a device that people can afford. >> Right. >> And so, with 5G and you start putting things to the edge you start taking away some of the processing power that physically is in the phone and you put that at the edge, to where now people can have really high speed, high capabilities in a relatively low-cost device. >> That's pretty interesting, you're the first person. So, it is really this redistribution of, you know, networking, compute, and store-- >> Mm-hm. >> That's now enabled with this fast networking, where before your options were really not so great. >> Yeah, it's always a balance, but today your only option is to continue to put more and more horsepower into the device itself-- >> Right. >> More processing, compute storage, into the device. By spreading that and having some of it maintained in the network you can maintain, you can manage cost in the end user device that people carry in their pocket. >> Okay, so give you the last word, when you are at a cocktail party on the weekend talking to some people about what you do, what surprises people most about 5G once you tell them it's this new thing that's coming down the pike? >> Well, you know, look, in my job I get to see lots of cool things, and when I start describing some virtual or augmented reality, imagine walking down the street with a pair of glasses and suddenly images, right, start, you know, being fed on top of what you're really looking at. You start, you know, you can imagine a day where, you know, an advertisement may pop up in your field of view, or you know, points of interest that you might want to see, and you know, obviously we've got to control that and manage it to consumer expectations, but that's not as far away as people might imagine. >> Right, and just to recap, you're in 12 markets. >> 12 markets-- >> You're in seven, five more, and then another seven coming, right? >> That's right, so 12 by the end of '18, and seven more in early '19. We're off to a fast start and looking to grow from there. >> All right, Gordon, well congratulations on progress to date and good luck with the roll-out. >> All right, thank you. >> (chuckles) All right, he's Gordon, I'm Jeff, you're watching theCUBE. We're at AT&T Spark in San Francisco, thanks for watching. (techy music)

>> From the Palace of Fine Arts in San Francisco, it's theCUBE, covering AT&T Spark. Now here's Jeff Frick. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're at San Francisco, at the historic Palace of Fine Arts, it's a beautiful spot, it's redone, they moved Exploratorium out a couple years ago, so now it's in a really nice event space, and we're here for the AT&T Spark Event, and the conversation's all around 5G. But we're excited to have our first guest, and he's working on something that's a little bit tangential to 5G-related, but not absolutely connected, but really important work, it's Chris Sambar, he is the SVP of FirstNet at AT&T, Chris, great to see you. >> Thanks Jeff, great to be here, I appreciate it. >> Yeah, so you had a nice Keynote Presentation, talking about FirstNet. So for people I've missed, that aren't familiar, what is AT&T FirstNet? >> Sure, I'll give a quick background. As I was mentioning up there, tomorrow is the 17-year Anniversary of 9/11. So 17 years ago tomorrow, a big problem in New York City. Lots of first responders descended on the area. All of them were trying to communicate with each other, they were trying to use their radios, which they're you know, typically what you see a first responder using, the wireless networks in the area. Unfortunately challenges, it wasn't working. They were having trouble communicating with each other, their existing wireless networks were getting congested, and so the 9/11 Commission came out with a report years later, and they said we need a dedicated communications network, just for First Responders. So they spun all this up and they said, we're going to dedicate some Spectrum, 20 megahertz of D-Class Spectrum, which is really prime Spectrum. Seven billion dollars and we're going to set up this Federal entity, called the FirstNet Authority, and they're going to create a Public Safety Network across America. So FirstNet Authority spent a few years figuring out how to do it, and they landed on what we have today, which was a Public/Private Partnership, between AT&T, and Public Safety throughout America, and we're building them a terrific network across the country. It is literally a separate network so when I, I think of wireless in America, I think of four main commercial carriers, AT&T, Verizon, T-Mobile, Sprint. This is the 5th carrier, this is Public Safety's Wireless Network just for them. >> So when you say an extra network, so it's a completely separate, obviously you're leveraging infrastructure, like towers and power and those types of things. But it's a completely separate network, than the existing four that you mentioned. >> Yeah, so if you walk into our data centers throughout the country, you're going to see separate hardware, physical infrastructure that is just for FirstNet, that's the core network just for this network. On the RAN, the Radio Access Network, we've got antennas that have Band 14 on them, that's Public Safety's Band, dedicated just for them when they need it. So yeah, it's literally a physically separate network. The SIM card that goes into a FirstNet device, is a different SIM card than our commercial users would use, because it's separate. >> So one of the really interesting things about 5G, and kind of the evolution of wireless is, is taking some of the load that has been taken by like WiFi, and other options for fast, always on connectivity. I would assume radio, and I don't know that much about radio frequencies that have been around forever with communications in, in First Responders. Is the vision that the 5G will eventually take over that type of communication as well? >> Yeah, absolutely. If you look at the evolution of First Responder, and Public Safety Communications, for many years now they've used radios. Relatively small, narrow Spectrum bands for Narrow Band Voice, right, just voice communications. It really doesn't do data, maybe a little bit, but really not much. Now they're going to expand to this Spectrum, the D-Class, the D-Block Spectrum, excuse me, which is 700 megahertz, it's a low-band Spectrum, that'll provide them with Dedicated Spectrum, and then the next step, as you say, is 5G, so take the load off as Public Safety comes into the, the new Public Safety Communications space, that they've really been wanting for years and years, they'll start to utilize 5G as well on our network. >> So where are you on the development of FirstNet, where are you on the rollout, what's the sequence of events? >> The first thing we did, the award was last year in March 2017. The first thing we did was we built out the core network. When I talked about all that physical infrastructure, that basically took a year to build out, and it was pretty extensive, and about a half a billion dollars so, that was the first thing we did, that completed earlier this year. >> Was that nationwide or major metro cities or how-- >> Nationwide, everywhere in the country. >> Nationwide, okay. >> So now what we're doing is, we are putting the Spectrum that we were given, or I should say we were leased for 25 years, we're putting that Spectrum up across our towers all over the country so, that will take five years, it's a five-year build-out, tens of thousands of towers across America, will get this Public Safety Spectrum, for Public Safety, and for their use. >> Right. Will you target by GEO, by Metro area, I mean, how's it going to actually happen? That's a huge global rollout, five years is a long time. How you kind of prioritize, how are you really going to market with this? >> The Band 14 Spectrum is being rolled out in the major, the major dense areas across the country. I will tell you that by the end of the rollout, five years from now, 99% of the population of America, will have Band 14 Spectrum, so the vast majority of the population. Other areas where we don't roll it out, rural areas for example, all of the features that Public Safety wants, we call them (mumbles) and priority, which is the features to allow them to always have access to the network whenever they need it. Those features will be on our regular commercial Spectrum. So if Band 14 isn't there, the network will function exactly as if it were there for them. >> Right. Then how do you roll it out to the agencies, all the First Responders, the Fire, the Police, the EMTs, et cetera? How do they start to take advantage of this opportunity? >> Sure, so we started that earlier this year. We really started in a March-April timeframe in earnest, signing up agencies, and the uptake's been phenomenal. It's over 2500 Public Safety Agencies across America, over 150,00, and that number grows by thousands every week. That's actually a pretty old number but, they are signing up in droves. In fact, one of the problems we were having initially is, handling the volume of First Responders that wanted to sign up, and the reason is they're seeing that, whether it's a fire out in Oregon, and they need connectivity in the middle of nowhere, in a forest where there's no wireless connectivity at all, we'll bring a vehicle out there, put up an antenna and provide them connectivity. Whether it's a Fourth of July show, or a parade, or an active shooter, wherever large groups of people, combined together and the network gets congested, they're seeing that wow, my device works no matter what. I can always send a text message, I can send a video, it just works. Where it didn't work before. So they love it, and they're really, they're really signing up in droves, it's great. >> It's really interesting because it's, it's interesting that this was triggered, as part of the post 9/11 activity to make things better, and make things safer. But there was a lot of buzz, especially out here in the West with, with First Responders in the news, who were running out of band width. As you said, the Firefighters, the fire's been burning out here, it seems like forever, and really nobody thinking about those, or obviously they're probably roaming on their traditional data plan, and they're probably out there, for weeks and weeks at a time, that wasn't part of their allocation, when they figured out what plan they should be. So the timing is pretty significant, and there's clearly a big demand for this. >> Absolutely. So that example that you sight is a really good one. Two weeks ago, there was a lot in the news about a fire agency in the West, that said they were throttled by their carrier. It was a commercial carrier, and commercial carriers have terms and conditions, that sometimes they need to throttle usage, if you get to a certain level. That's how commercial networks work. >> Right, right. >> FirstNet was built with not only different technology, hardware, software, but with different terms and conditions. Because we understand that, when a First Responder responds to your house, we don't want that to be the minute in time, when their network, their plan got maxed out, and now they're getting throttled. >> Right. >> So we don't have any throttling on the FirstNet Network. So it's not only the hardware, software, technical aspects of the network, but the terms and conditions are different. It's what you would expect that a First Responder would have and want on their device, and that's what we're providing for them. >> Right, and the other cool thing that you mentioned is, we see it all the time, we go to a lot of conferences. A lot of people probably experience it at, at big events right, is that still today, WiFi and traditional LTE, has hard times in super-dense environments, where there's just tons and tons and tons of bodies I imagine, absorbing all that signal, as much as anything else, so to have a separate Spectrum in those type of environments which are usually chaotic when you got First Responders, or some of these mass events that you outlined, is a pretty important feature, to not get just completely wiped out by everybody else happening to be there at the same time. >> Exactly. I'll give you two quick examples, that'll illustrate what you just said. The first one is, on the Fourth of July, in downtown Washington D.C. You can imagine that show. It's an awesome show, but there are hundreds of thousands of people that gather around that Washington Monument, to watch the show. And the expectation is at the peak of the show, when all those people are there, you're not really going to be sending text messages, or calling people, the network's probably just not going to work very well. That's, we've all gotten used to that. >> Right, right. >> This year, I had First Responders, who were there during the event, sending me videos of the fireworks going off. Something that never would've been possible before, and them saying oh my gosh. The actually works the way it's supposed to work, we can use our phones. Then the second example, which is a really sad example. There was a recent school shooting down in Florida. You had Sheriffs, Local Police, Ambulances. You even had some Federal Authorities that showed up. They couldn't communicate with each other, because they were on different radio networks. Imagine if they had that capability of FirstNet, where they could communicate with each other, and the network worked, even though there were thousands of people that were gathering around that scene, to see what was going on. So that's the capability we're bringing to Public Safety, and it's really good for all of us. >> Do you see that this is kind of the, the aggregator of the multi-disparate systems that exist now, as you mentioned in, in your Keynote, and again there's different agencies, they've got different frequencies, they've got Police, Fire, Ambulance, Federal Agencies, that now potentially this, as just kind of a unified First Responder network, becomes the defacto way, that I can get in touch with anyone regardless of of where they come from, or who they're associated with? >> That is exactly the vision of FirstNet. In major cities across America, Police, Fire, Emergency Medical typically, are on three different radio networks, and it's very difficult for them to communicate with each other. They may have a shared frequency or two between them, but it's very challenging for them. Our goal is to sign all of them up, put them on one LTE network, the FirstNet Network, customized for them, so they can all communicate with each other, regardless of how much congestion is on the network. So that's the vision of FirstNet. >> Then that's even before you get into the 5G impacts, which will be the data impacts, whereas I think again, you showed in some of your examples, the enhanced amount of data that they can bring to bear, on solving a problem, whether it's a layout of a building for the Fire Department or drone footage from up above. We talked to Menlo Park Fire, they're using drones more and more to give eyes over the fire to the guys down on the ground. So there's a lot of really interesting applications that you can get more better data, to drive more better applications through that network, to help these guys do their job. >> Yeah, you've got it, the smart city's cameras, don't you want that to be able to stream over the network, and give it to First Responders, so they know what they're going to encounter, when they show up to the scene of whatever issue's going on in the city, of course you do, and you need a really reliable, stable network to provide that on. >> Well Chris, this is not only an interesting work, but very noble, and an important work, so appreciate all of the efforts that you're putting in, and thanks for stopping by. >> I appreciate it Jeff, it's been great talking with you. >> Alright, he's Chris, I'm Jeff, you're watching theCUBE, we're in San Francisco at the Palace of Fine Arts, at AT&T Spark. Thanks for watching, we'll see you next time. (bright music)

>> Live from San Francisco, it's the Cube. Covering Google Cloud Next 2018. Brought to you by Google Cloud and it's ecosystem partners. >> Hello, welcome everyone back to the Cube's live coverage. This is day three of Google Cloud Cube coverage here. Google Next 2018 #GoogleNext18. I'm John Furrier, my co-host Jeff Frick. Our next two guests kicking off day three, is Ed Anuff, the director of product management at Google Cloud, part of the Apigee acquisition, really part of the APIs and really a big part of the story here at Google Next, and Chuck Knostman, vice-president of IT at T-mobile customer. Ed, thanks for coming on. Chuck, thanks for coming on. So Apigee, a big part of the story at Google Next is, you know, the role of APIs and services. Huge, and I won't say nuanced. I mean, certainly Istio is new to a lot of people. Kubernetes, superly a very important piece of this new cloud service platform, as well as just running work loads, multicloud, etc. What's the focus, what's going on for you guys at the event. Take a minute to explain the announcements and what you guys did here at the show. >> Sure, so, APIs are how software talks to software. And what we announced this week at the show with Kubernetes and Istio are new ways for people to build software and deploy it, in new distributive fashions. And so that's creating new ways for tying your software together. Microservices, a lot of people are talking about now, are a key part of this. And so, from an Apigee perspective, you know, we're looking at facilitating how to make that communications happen, how to make it secure, how to make it efficient, how to monitor it. So what we announced was that Apigee is making it now possible for you to have all the tools that we've given you for managing your APIs, for, you know, getting your mobile apps to talk to your cloud services and all that, now is also going to apply to these new microservices that you're building. And so we think it's a pretty exciting thing. Lot of our customers have been asking for this, and obviously, uh, Chuck being one of them, and so, you know, that's what it's been all about for us this week. >> Chuck, obviously, APIs, key part of dev ops. You know, it first started with slinging some APIs around, stitching them together. Developers voted with their code, clearly APIs is the way that software's working. Microservices takes us to a whole nother level. Now, operationalizing APIs seems easy, but it's, you've got to start managing things differently. How are you guys taking that API and this new service management piece of it and kind of operationalizing APIs into T-Mobile? >> Yeah, we've been using Apigee for about four years now, and so over the time I think we were have 200 plus internal APIs, so we've over that time we've kind of learned how to operationalize that piece of it. Over the last couple of years we've really been focused on the microservice layers. Writing cloud-native applications, essentially. And that layer, and now with the Apigee hook into Istio, we're going to have a much better way to manage it. And it's really nice to see the platform starting to grow and mature along with us, so that's really great. >> I can only imagine how complicated it is to run real-time, cloud-native and have also legacy, and I think one of the things I'd like to get your thoughts on is, containers have become a nice piece of, not ripping and replacing to bring in the new. You don't have to kill the old to bring in the new. And now with containers, Kubernetes, and microservices and Istio, you have an ability to kind of do both. Talk about how you guys do it, cause this is like a perfect storm, in a good way, for enterprises. >> Well yeah, and it's really good timing for us as well. We're just now starting our Kubernetes journey on premise, if you will. So we're a big cloud-foundry shop. We're starting to put our legacy applications into docker containers and moving them, we'll be moving them onto Kubernetes. And so you can see the whole, the containerization shift as we go, as we go through time. And it's really, for us, like you said, it's fortuitous that at this timing because now with Istio coming in and being able to control all that, that's a great thing for us. >> Ed, talk about, you give a lot of history. To use, as normal APIs, it's lingua franca, it's been around for a while, you've had a lot of experience in that. But a lot of the enterprises that we talk to are like, there's a lot of pressure in IT to do more now with cloud-native. And now with the new services that are out there, it kind of takes the pressure off IT because the pressure of, oh, I got to sunset that app or I don't know when to kill that workload. I know I want to maybe transform it, but I don't want to have to disrupt all this stuff. So talk about the importance of nondisruption, because this seems to be a conversation that's talked a lot in the hallways. >> That's exactly right. So, you know, what you see within enterprises is that there's a need to deliver a whole set of new applications, and a lot of these are connected to digital experiences. Basically everything that you experience on your mobile apps, every new form of engaging with your customer. That's where a lot of the business growth is that's bringing, you know, a lot of the funding for these new initiatives. But, a lot of the core data of the enterprise is locked up within systems that have been operating very efficiently, but siloed for many years. And so that's the part that we see the most, which is, you know, folks within IT come to us and say, "Look, you know, I've been building these legacy systems "for many years now, and I know that if I can just take "the data that's locked up in these and bring these "into these new ways of doing business, "that it's going to have a huge impact on my business." And that's, you know, that's where the question sits. And then the follow up on that is, "Hey, you know, we want to, "we want to make our businesses more like the way, you know, "you guys are doing it in Silicon Valley. "And we, we see what you're doing with containers, "and we see things like Kubernetes, and cloud-native, "and we know that's the right way to build things, "but there has to be a way for us to bring "all of these other assets that we've been building "for the last 30 years along for the ride." And in fact for most of these businesses, our response is, "Hey, it's not just a question "of building along for the ride. "That, that's your core, that's your, that is been "what you built your business on. "So don't even just think about it "as this thing that you somehow have to drag along. "Think about how you actually can amplify it "because it's been the source of your business for so long." >> Yeah, the other I would add to that is that it gives us scale and operation, a much better operational platform to work with. For us, we've grown tremendously, or our growth has been tremendous over the last five years. We've gone from I think 30 million customers to 73 million customers, and frankly, to scale those systems up, containerization is probably the only way we can go with it. And with, from an operational standpoint, having one platform like Kubernetes to have, to operate for all of this stuff just helps us out tremendously. >> We hear that all the time. I think that's the biggest story around containers outside of geeking out on the benefits of it is that it really allows a nice bridge to the future. You don't have to burn the boats, as they say, in Silicon Valley, you know. >> And you can pick your, you can pick on the applications you want to keep around, right. Then you refactor 'em to be cloud-native on the ones you don't. You don't have to go all the way, right, and so you can make it much better that way. >> Chuck, I'm curious to get your take on the changing competitive environment. Cause before, you know, you had these big complex systems and you wanted to keep them running. Now the pressure for more innovation, more applications, quicker applications, to leverage not only your inside stuff but outside stuff, and how some of these technologies are helping you deliver that to your customers or your internal development team. >> Yeah, like I said, scale is one aspect of it. Performance is another, and the ability to move those workloads close to the customer just like Google's trying to do with moving closer to the customer, we do the same thing. Right, and so the hybrid cloud is real for us. We run in almost all the clouds right now, and on premise we treat that as a cloud as well. But being able to do that can only happen when we containerize stuff and utilize similar platforms on all these places. >> Right, and then you'll have this huge transformational shift over the next several years with 5G right, that's coming-- >> Yeah, yeah, and we've been at it for a couple years now. >> For a couple years, so this is going to be another huge wave of change inside your infrastructure. >> Yeah, sounds fantastic. >> What attracted you to Google Cloud? Share, take a minute to explain. What was the interest in Google Cloud. Why Google Cloud for your guys? >> Well we're just getting started with it, but it's really, it's the partnership we've had with Apigee that's helped us kind of understand what's going on with Google Cloud, but then the open-source nature of it as well as the focus on AI and ML. That's why we're really taking a hard look at what's going on with Google Cloud, and the attitude towards enterprises is great as well. >> Culture's a good fit there. >> Yeah, yeah, absolutely. >> Yeah, it's interesting, a lot of people are attracted by some of the speed. I mean, we've been hearing here at the show, you know, Google obviously has built their business on being fast. >> Yeah, well and having your own network is massive as well, right. >> And now you got the API. And what's the future look like for APIs and Apigee inside Google? Give us a little taste of what you guys are working on, some of the projects you guys are passionate about, and some of the successes you've had or any anecdotal use case studies. >> So definitely, so, you know, APIs carry our customers' most important data. And data's the basis for machine learning and AI, and so you're going to see a lot of product innovation for us about bringing, you know, AI to the point of these data conduits that are what APIs are all about. It's the natural place to couple it with every business process. So that's a big deal for us. I think that, you know, the security aspect, you heard a lot about security in the key notes. Again, you know, APIs are the conduit in many cases for, again, the enterprises most important data. To get outside of the perimeter of the enterprise, it has to be done in a secure way. You know, and then finally, being able to go and leverage the sort of collaborative nature, the stuff you see within open-source, the community around all of this, again, you know, most APIs are about bringing a lot more developers to, you know, build more applications in less time around these APIs and that is, that collaboration component is something that we see a ton of opportunities in terms of leveraging, you know, Google's unique know-how in terms of advancing and pushing this data that are in an API management. So I think you're going to see a lot of that from us. >> Chuck, I'd love to get your thoughts on how you in IT, obviously and IT's transforming, we talk about it all the time, how you keep track of what's good, right. It used to be in the old days the stack was pretty not that complex. And you go to Gartner or magic quadrant, oh they're a leader, I'll kick the tires, they come in, a vendor will come in, but some of the best cloud providers don't even show up on a magic quadrant because it's horizontally scalable. APIs changes the stack a little bit. A new modern middleware is emerging with Istio and new sets of business models and services are emerging. So a lot of people are like trying to be, how do you determine who's good. You know, in IT, because ou want to move the needle, you want to transform, you got a lot a build up. How do you kind of evaluate, is there any new ways, or is it gut instinct or specific things that you look at? >> Really good question. We look, we try to adopt the open-source stuff first. But we, from the company standpoint we also look at the company themselves and who's really vested in what's going on with it. Like, Apigee four years ago was really the only ones that were really only doing APIs, right. And their knowledge and the depth and their road map, that's what we really kind of look for. But to your point, things are changing so rapidly that you kind of have to go with the, watch the open-source community. Where are all the pull requests coming from, or what platforms are they going after? And then track that, and that's where, that's what we try to do. And so when we see Kubernetes and the explosion that's happening on that, the tooling that's coming around that, we know that's going to be good for enterprises going forward. So, we're going to be heavily investing in that platform. >> It's interesting, we always talk about developers, but what's interesting that's coming out of the show that we're observing is, it's always about developers do building apps. But the role of an operator inside IT, used to be an operator would, you know, maybe provision some storage and some servers. Now the role of what an operator, I mean, network op guys, now it's kind of like a more of a holistic view. Your thoughts on this. I know it's super early, but the emergence of these two personas in IT is super critical. >> Yeah, we look at it like it's automation, right. That's where it all comes to play. So if you've got a platform like a Kubernetes where you can have all this automation built around it, and you let the developers just do their thing and focus on the business logic, it's huge. So there is kind of two personalities, and the caring and feeding of that platform is just as important as the guys writing the applications across the top. >> Yeah, it's really a great environment. Final question for you guys. Observations on the show, Google Next. What's your observation, obviously you've got an API perspective, just globally looking down. If you kind of look, zoom out and look at, look down at the show, thoughts and commentary on what's happening here. >> You know, I think the scale of it has been amazing, you know, we became part of Google two years ago. We were here at the show last year, looking at it this year. And, the level of growth, the activity, attendees, the number of announcements, it's just been amazing. It's been very exciting for us to be a part of. >> Cool, Chuck your thoughts? >> Super impressed. This is our first one, really, that we've come to. We were even participating on the stage on the Knative, we wrote some applications to work with Knative. But, it's a, it's a very diverse crowd which is awesome. I think you really need that. Some of the others, I don't see as much. So I think what Google is doing, and again their approaches to enterprise, looking more at solutions, vertical solutions, very impressed with what's going on here. >> It's a really great time. Congratulations on all your success with the APIs. You guys have done the work, and open-source, it's where the, your employees want to work. They want to meet other people, and this is where the co-creation, that's where the assessments of the vendors happen. >> Opensource.T-Mobile.com, that's where we want to be. >> Alright, great. Well, Chuck, Ed, thanks so much. Really appreciate the time. It's the Cube live coverage here in San Francisco covering Google Cloud's conference, Next '18. We'll be right back with more day three coverage. Stay with us, we'll be right back. (light jazzy music plays)