(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)

(upbeat music) >> Hello everyone. Welcome to the Special Cube presentation of Accelerating Business Transformation on VMC on AWS. I'm John Furrier, host of the Cube. We have Ashish Dhawan, Director of Global Sales and go to market for VMware Cloud on AWS. This is a great showcase and should be a lot of fun. Ashish, thanks for coming on. >> Hi, John. Thank you so much. >> So VMware Cloud on AWS has been well documented as this big success for VMware and AWS. As customers move their workloads into the cloud, IT operations of VMware customers has signaling a lot of change. This is changing the landscape globally on cloud migration and beyond. What's your take on this? Can you open this up with the most important story around VMC on AWS? >> Yes, John. The most important thing for our customers today is, how they can safely and swiftly move their ID infrastructure and applications to the cloud. Now, VMware Cloud AWS is a service that allows all vSphere based workloads to move the cloud safely, swiftly, and reliably. Banks can move their core banking platforms, insurance companies move their core insurance platforms, telcos move their GOSS, BSS platforms, government organizations are moving their citizen engagement platforms using VMC on AWS because this is one platform that allows you to move it, move their VMware based platforms very fast. Migrations can happen in a matter of days instead of months, extremely securely. It's a VMware managed service. It's very secure and highly reliably gets the reliability of the underlying AWS infrastructure along with it. So win-win from a customer's perspective. >> You know, we reported on this big news in 2016 with Andy Jassy and Pat Gelsinger at the time, a lot of people said it was a bad deal. It turned out to be a great deal because not only could VMware customers actually have a cloud, migrate to the cloud, do it safely, which was their number one concern. They didn't want to have disruption to their operations, but also position themselves for what's beyond just shifting to the cloud. So I have to ask you, since you got the finger on the pulse here. What are we seeing in the market when it comes to migrating and modernizing in the cloud? Because that's the next step. They go to the cloud, you guys have done that, doing it, then they go, "I got to modernize" which means kind of upgrading or refactoring. What's your take on that? >> Yeah, absolutely. Look, the first step is to help our customers assess their infrastructure and licensing and entire ID operations. Once we've done the assessment, we then create their migration plans. A lot of our customers are at that inflection point. They're, they're looking at their real estate, data center real estate. They're looking at their contracts with co-location vendors. They really want to exit their data centers, right? And VMware cloud or AWS is a perfect solution for customers who want to exit their data centers, migrate these applications onto the AWS platform using VMC on AWS, get rid of additional real estate overheads, power overheads, be socially and environmentally conscious by doing that as well. Right? So that's the migration story, but to your point, it doesn't end there, right? Modernization is a critical aspect of the entire customer journey as well. Customers, once they've migrated their ID applications and infrastructure on cloud, get access to all the modernization services that AWS has. They can connect easily to our data lake services, to our AIML services, to custom databases, right? They can decide which applications they want to keep and which applications they want to refactor. They want to take decisions on containerization, take decisions on service computing once they've come to the cloud. But the most important thing is to take that first step. You know, exit their data centers come to AWS using VMC on AWS, and then the whole host of modernization options are available to them. >> Yeah, I got to say, we had this right on this story because you just pointed out a big thing, which was first order of business is to make sure to leverage the on-prem investments that those customers made and then migrate to the cloud where they can maintain their applications, their data, their infrastructure operations that they're used to, and then be in position to start getting modern. So I have to ask you, how are you guys specifically, or how is VMware cloud on AWS, addressing these needs of the customers? Because what happens next is something that needs to happen faster, and sometimes the skills might not be there because if they're running old school IT ops now they got to come in and jump in. They're going to use data cloud, they're going to want to use all kinds of machine learning, and there's a lot of great goodness going on above the stack there. So as you move with a higher level services, you know, it's a no-brainer, obviously, but they're not, it's not yesterday's higher level services in the cloud. So how are, how is this being addressed? >> Absolutely. I think you hit upon a very important point, and that is skills, right? When our customers are operating some of the most critical applications I just mentioned, core banking, core insurance, et cetera, there, most of the core applications that our customers have across industries, like even large scale ERP systems, they're actually sitting on VMware's vSphere platform, right? Now, when the customer wants to migrate these to cloud, one of the key bottlenecks they face is skill sets. They have the trained manpower for these core applications, but for these high level services, they may not, right? So the first order of business is to help them ease this migration pain as much as possible by not wanting them to upscale immediately. And VMware cloud with AWS exactly does that. I mean, you don't have to do anything. You don't have to create new skill set for doing this, right? Their existing skill set suffice, but at the same time, it gives them that leeway to build that skills roadmap for their team. And AWS is invested in that, right? We want to help them build those skills in the high level services, be AML, be it, be it IoT, be it data lake and analytics. We want to invest in them and we help our customers through that. So that ultimately, the ultimate goal of making them draw data is, is, is front and center. >> I want to get into some of the use cases and success stories, but I want to just reiterate, hit back your point on the skill thing because, if you look at what you guys have done at AWS, you've essentially, and Andy Jassy used to talk about this all the time when I would interview him, and now last year Adam was saying the same thing. You guys do all the heavy lifting, but if you're a VMware customer, user or operator, you're used to things. You don't have to be relearn to be a cloud architect. Now, you're already in the game. So this is like almost like a instant path to cloud skills for the VMware, and there's hundreds of thousands of VMware architects and operators, that now instantly become cloud architects, literally overnight. Can you respond to that? Do you agree with that? And then, give an example. >> Yes, absolutely. You know, if you have skills on the VMware platform, you know, migrating to AWS using VMware cloud or AWS is absolutely possible. You don't have to really change the skills. The operations are exactly the same. The management systems are exactly the same. So you don't really have to change anything but, the advantages, that you get access to all the other AWS services. So you are instantly able to integrate with other AWS services, and you become a cloud architect immediately, right? You are able to solve some of the critical problems that your underlying IT infrastructure has immediately using this. And I think that's a great value proposition for our customers to use this service. >> And just one more point, I want to just get into something that's really kind of inside baseball or nuanced, VMC or VMware cloud on AWS means something. Could you take a minute to explain what "on AWS" means? Just because you're like hosting and using Amazon as a workload? Being on AWS means something specific in your world, what does being VMC on AWS mean? >> Yes. This is a great question, by the way. You know, on AWS means that, VMware's vSphere platform is an iconic enterprise virtualization software. It's, you know, a disproportionately high market share across industries. So when we wanted to create a cloud product along with them, obviously our aim was for them, for this platform, to have the goodness of the AWS underlying infrastructure, right? And therefore, when we created this VMware cloud solution, it literally used the AWS platform under the name, right? And that's why it's called VMware cloud on AWS, using the wide portfolio of our regions across the world and the strength of the underlying infrastructure, the reliability and sustainability that it offers. And therefore this product is called VMC on AWS. >> It's a distinction I think is worth noting, and it does reflect engineering and some levels of integration that go well beyond just having a SAS app and basically platform as a service or past services. So I just make sure that now Supercloud, we'll talk about that a little bit in another interview, but I got to get one more question in before we get into the use cases in customer success stories is in most of the VMware world, in that IT world, it used to, when you heard migration, people would go, oh my God, that's going to take months. And when I hear about moving stuff around and doing cloud native, the first reaction people might have is complexity. So two questions for you before we move on to the next talk track. Complexity, how you addressing the complexity issue and how long do these migrations take? Is it easy, is it hard? I mean, you know, the, the knee-jerk reaction is month very used to that. If they're dealing with Oracle or other old school vendors, they're like the old guard would be like, takes a year to move stuff around. So can you comment on complexity and speed? >> Yeah. So the first, first thing is complexity. And you know, what makes anything complex is if you're required to acquire new skill sets or you've got to, if you're required to manage something differently. And as far as VMware cloud and AWS, on both these aspects, you don't have to do anything, right? You don't have to acquire new skill sets. You existing ID operation skill sets on, VMware's platforms are absolutely fine, and you don't have to manage it any differently. Like, dang what you're managing your ID infrastructure today. So in both these aspects, it's exactly the same and therefore it is absolutely not complex as far as VMware cloud and AWS is concerned. And the other thing is speed. Now, this is where the huge differentiation is. You have seen that, you know, large banks and large telcos have now moved their workloads, you know, literally in days instead of months because of VMware cloud and AWS. A lot of times customers come to us with specific deadlines because they want to exit their data centers on a particular date. And what happens? VMware cloud and AWS is called upon to do that migration, right? Speed is absolutely critical. The reason is also exactly the same, because you are using the exactly the same platform, the same management systems, people are available to you, you're able to migrate quickly, right? I would just reference recently we got an award from President Zelinsky of Ukraine for, you know, migrating their entire ID digital infrastructure and that happened because they were using VMware cloud radar base and happened very swiftly. >> That's a great example. I mean, that's one political, but the economic advantage of getting out of the data center could be national security. You mentioned Ukraine, I mean obstacles, bombing and death over there. So clearly that's a critical crown jewel for their running their operations, which is, you know, world mission critical. So great stuff. I love the speed thing. I think that's a huge one. Let's get into some of the use cases. One of them is, the first one I wanted to talk about, was when you hit on data data center migration. It could be financial reasons on a downturn or market growth, people can make money by shifting to the cloud, either saving money or making money. You win on both sides. It's a, almost a recession proof, if you will, cloud is. So use case for number one data center migration. Take us through what that looks like. Give an example of a success. Take us through a day in the life of a data center migration in a couple minutes. >> Yeah. You know, I can give you an example of a large bank who decided to migrate all their data centers outside their existing interest. (static) And they had a set timeline, right? They had a set timeline to migrate the data, they were coming up on a review and they wanted to make sure that this set timeline is met. We did a complete assessment of their infrastructure. We did a complete assessment of their IT applications, more than 80 percent of their ID applications, (static) underlying vSphere platform. And we thought that the right solution for them in the timeline that they wanted, right, is VMware cloud and AWS. And obviously it was a large bank. It wanted to do it safely and securely. It wanted to have it completely managed and therefore VMware cloud and AWS, you know, ticked all the boxes as far as that is concerned. I'll be happy to report that the large bank has moved most of their applications on AWS exiting three of their data centers and they'll be exiting 12 more very soon. So that's a great example of the large bank exiting data centers. There's another corollary to that. Not only did they manage to manage to exit their data centers and of course use and be more agile, but they also met their sustainability goals. Their board of directors had given them goals to be carbon neutral by 2025. They found out that 35 percent of all their carbon footprint was in their data centers. And if they moved their ID infrastructure to cloud, they would severely reduce the carbon footprint, which is 35 percent down to 17 or 18 percent. Right? And that met their sustainability targets and their commitment to being carbon neutral as well. >> And that they, and they shift that to you guys. Which you guys take that burden, a heavy lifting there, and you guys have a sustainability story, which is a whole nother showcase in and of itself. >> Exactly. And, because of the scale of our operations, we are able to work on that really well as well. >> All right. So love the data migration. I think that's got real proof points. You got, I can save money and move and position my applications into the cloud for that reason and other reasons. There's a lot of other reasons to do that. But now it gets into what you mentioned earlier was, okay, data migration, clearly a use case and you laid out some successes. I'm sure there's a zillion others. But then the next step comes, now you got cloud architects becoming minted and you got managed services and higher level services. What happens next? Can you give us an example of the use case of the modernization around the next gen workloads, NextGen applications? We're starting to see, you know, things like data clouds, not data warehouses. We're not going to data clouds, it's going to be all kinds of clouds. These NextGen apps are pure digital transformation in action. Take us through a use case of how you guys make that happen with a success story. >> Yes, absolutely. And this is, this is an amazing success story and the customer here is S&P Global Ratings. As you know, S&P Global Ratings is the world leader as far as global ratings, global credit ratings is concerned. And for them, you know, the last couple of years have been tough as far as hardware procurement is concerned, right? The pandemic has really upended the supply chain. And it was taking a lot of time to procure hardware, you know, configure it in time, make sure that that's reliable. And then, you know, distributed in the wide variety of of offices and locations that they have. And they came to us. We did, again a very large comprehensive assessment of their ID infrastructure and their licensing contracts. And we also found out that VMware cloud and AWS is the right solution for them. So we worked there, migrated all their applications, and as soon as we migrated all their applications, they got access to, you know, our high level services. Be it our analytics services, our machine learning services, our artificial intelligence services that have been critical for them, for their growth. And that really is helping them, you know, get towards their next level of modern applications. Right? Now, obviously going forward, they will have, the choice to, you know, really think about which applications they want to, you know, refactor or which applications they want to go ahead with. That is really a choice in front of them. But you know, the VMware cloud and AWS really gave them the opportunity to first migrate and then, you know, move towards modernization with speed. >> The speed of a startup is always the kind of the Silicon Valley story where you know, people can make massive changes in 18 months, whether it's a pivot or a new product. You see that in the startup world. Now, in the enterprise, you can see the same thing. I noticed behind you on your whiteboard, you got a slogan that says, "are you thinking big?" I know Amazon likes to think big, but also you work back from the customers and I think this modern application thing's a big deal, because I think the mindset has always been constrained, because back before they moved to the cloud, most IT, and on-premise data center shops, it's slow. You got to get the hardware, you got to configure it, you got to stand it up, you got to make sure all the softwares validated on it, and loading and database and loading OSs, I mean, yeah, it got easier and with scripting and whatnot, but when you move to the cloud, you have more scale, which means more speed, which means it opens up their capability to think differently and build product. What are you seeing there? Can you share your opinion on that epiphany of, "wow, things are going fast, I got more time to actually think about maybe doing a cloud native app or transforming this or that." What's your reaction to that? Can you share your opinion? >> Well, ultimately we, we want our customers to utilize, you know, most of our modern services, you know, obligations should be microservices based. When desired, they should use serverless technology. They should not have monolithic, you know, relational database contracts. They should use custom databases. They should use containers when needed, right? So ultimately, we want our customers to use these modern technologies to make sure that their IT infrastructure, their licensing, their entire IT spend is completely native to cloud technologies that work for the speed of a startup. But it's important for them to get to the first step, right? So that's why we create this journey for our customers where you help them migrate, give them time to build the skills, they'll help them modernize, take our partners along with us to make sure that they can address the need for our customers. That's what our customers need today and that's what we are working backwards from. >> Yeah, and I think that opens up some big ideas. I'll just say that, you know, we're joking, I was joking the other night with someone here in Palo Alto around serverless, and I said, you know, soon you're going to hear words like architectureless. And that's a criticism on one hand, but you might say, hey, you know, if you don't really need an architecture, you know, storage list. I mean, at the end of the day, infrastructure is code means developers can do all the IT in the coding cycles and then make the operations cloud based. And I think this is kind of where I see the dots connecting. Final thought here, take us through what you're thinking around how this new world is evolving. I mean, architectural a joke, but the point is, you know, you have to some sort of architecture, but you don't have to overthink it. >> Totally. That's a great thought, by the way, I know it's a joke, but it's a great thought because at the end of the day, you know, what do your customers really want? They want outcomes, right? Why did service technology come? It was because there was an outcome that they needed. They didn't want to get stuck with, you know, the real estate of a server. They wanted to use computer when they needed to, right? Similarly, what you're talking about is, you know, outcome based, you know, desire of our customers and that's exactly where the world is going to, right? Cloud really enforces that, right? We are actually, you know, working backwards from a customer's outcome and using our area, the breadth and depth of our services to deliver those outcomes, right? And most of our services are in that path, right? When we use VMware cloud and AWS, the outcome is A. to migrate, then to modernize, but doesn't stop there, use our native services, you know, get the business outcomes using this. So I think that's, that's exactly what we are going through. >> Ashish Dhawan director of global sales and go to market for VMware cloud and AWS. I want to thank you for coming on, but I'll give you the final minute. Give a plug, explain what is the VMware cloud on AWS. Why is it great? Why should people engage with you and the team, and what ultimately is this path look like for them going forward? >> Yeah. At the end of the day, we want our customers to have the best path to the cloud, right? The best path to the cloud is making sure that they migrate safely, reliably, and securely as well as with speed, right? And then, you know, use that cloud platform to utilize AWS's native services to make sure that they modernize their IT infrastructure and applications, right? We want, ultimately that our customer's, customer's, customer get the best out of, you know, utilizing that whole application experience is enhanced tremendously by using our services. And I think that's exactly what we are working towards VMware cloud on AWS is helping our customers in that journey towards migrating, modernizing, whether they want to exit a data center or whether they want to modernize their applications. It's in this central first step that we want to help our customers with. >> Ashish Dhawan, director of global sales and go to market with VMware cloud on AWS. He's with AWS sharing his thoughts on accelerating business transformation on AWS. This is showcase. We're talking about the future path. We're talking about use cases with success stories from customers. Ashish, thank you for spending time today on this showcase. >> Thank you, John. I appreciate it. >> Okay. This is the cube, special coverage, special presentation of the AWS Showcase. I'm John Furrier. Thanks for watching. (techno tones)

>>Hello, and welcome to the cubes. Continuous coverage of AWS reinvent 2021. I'm Dave Nicholson, and we're running an incredible event this year. One of the most important technology events. It's a hybrid event with two live stages. Two sets here in Las Vegas. Two studios we've interviewed more than a hundred guests and two distinguished guests that I have here from emphasis today have joined us. Thank you very much. Uh, Mr., who's the executive vice president of Infosys cobalt. And we'll talk about what that is exactly in a moment along with David Wilson, Wilson, I'm sorry, senior vice president and head of global alliances in the partner ecosystem for Infosys gentlemen. Welcome. Thank you. Thank you very much. So let's cut right to the chase cobalt. And when you tell your family that you're executive vice-president of cobalt, do they just smile and immediately nod? Like they know what it is? Absolutely. >>In fact, uh, in fact it is so exciting for us, uh, what we did at Infosys, just to define cobalt in one sentence, it is a set of services, solutions, and products that we are bringing together to solve, you know, accelerate our customer's journey or what we call as the customer's digital journey. So in slough, everybody talking about Kala cloud in a different way, with different narratives, different value proposition we had in forces. And by the way, we were the first ones in the world to combine all of this and the one brand called cobalt. So that's essentially what cobalt is. So anything and everything that we do in cloud, it's all under this brand called cobalt and that's Infosys cobalt. >>So does, does Infosys cobalt include a combination of bespoke solutions, cheering for people as well as packaged standardized things? How do you, how do you strike a balance because you can't have a one size fits all? Uh, what does that look like? How do you segregate those? >>Yes. Great question. So, so essentially what you are done with a cobalt is a delicate cobalt. In two ways. One is there are customers who want a solutions to solve technology problems. It could be getting out of data centers, it could be migrating workloads to cloud. It could be analytics on cloud ERP on cloud daddy's mainframe modernization, and, you know, getting off mainframes. And at the same time, there are industry verticals like financial services, retail manufacturing, and of course, life sciences, and many more who want to understand what are the business solutions and what are the solutions that we have for solving their business problems. So essentially cobalt is a bespoke solutions. It has products, it has platforms, and we have brought all of this together and we take it to our customers. So essentially these are industry blueprints. These are reference architectures. So we have 250 industry blueprints and around 25,000, that's it that we can actually take to our customers to help their digital journey. >>So, David, I imagine that key to the success of cobalt is, uh, uh, the idea of partnerships, talk about the alliances, uh, uh, that, uh, that you're involved with specifically the way that cobalt interacts with the AWS yes. >>Universe. Absolutely. So the, you know, as we designed our cobalt strategy, the partners are a major component of this. They contribute to it. They're part of the design. And ultimately when we go to the clients with these solutions, these assets, uh, our partners, components are baked right into the solution. In the case of AWS, we've been so successful with it that we recognize this week, uh, as their industry solutions partner of the year. Congratulations. Yeah. So I was joking. We should bring our trophy and put it in between, but we emphasis is invested heavily in developing the, the partner ecosystem, you know, gone are the days where our clients are, uh, putting out an RFP and purchasing individual piece parts, and then, you know, searching at NSI. They're looking for a business outcomes and, uh, uh, emphasis along with our cobalt strategy is able to work with partners like AWS and go there and sell an outcome and accelerate the whole. >>Well, you mentioned RFPs. Uh, what is your, uh, what is your go-to market strategy look like in terms of engaging with those end user clients? Um, is it in partnership with AWS? Is it led by Infosys bringing in AWS where appropriate some mix of the two? What does that look like in this world of cooperation and petition that we're in, >>It's actually a mix of two. So essentially the way we go to market is that there are solutions that Infosys has built on AWS that we will take to our customers. There are solutions that you have built, which are cloud neutral, and those are some things that we take to the customers. And the third one, which is very important is co-creating solutions for our customers along with AWS. So our go to market is a combination of all of them, and that's what makes it exciting. >>So a non-test running cobalt, you're, you're responsible for alliances. You guys are probably in contact a lot with one another. All of these crazy new things are announced at AWS. I'm sure you get a little bit of a preview of it. It's not a complete, it's not a complete surprise when you arrive, but you've gotta be screaming for teams and solutions to leverage some of the coolest stuff within cobalt. How does that, how does that conversation go? >>Yeah, so David David and I work very closely, right? In fact, uh, uh, the way, the way we do things is our go to market cannot be complete without partners. So similarly my strategy and our strategy and global cannot be complete without David. So we actually worked together to identify, in fact, we have been visiting a lot of boots. We got to create, we've gone to a lot of great ideas. We want to see how we can bring them into the cobalt framework and bundle some of that as part of our solutions. So we keep looking at those, we'll look at the announcements that were made and we'll solve, you know, identify many more sales motions that we can take to the, >>So David talk about some of the things you've seen here at re-invent this week that are specifically relevant for cobalt and emphasis customer. >>Well, what's some of the most exciting discussions we've been having is with, uh, not only, uh, AWS themselves about the, the announcements and the way in which we can leverage them, leverage them and go to market. But, uh, AWS has built out their own partner ecosystem, uh, that we then interact with. So we've had some exciting conversations with AWS's ISV partners, their, uh, their other solution providers about how we can bring this together and go to market together. You know, when, when an example, we had a lot of discussions this week was about, uh, how we're doing it, right? The mainframe services, uh, that were announced and how we can support them in building out our industry specific assets. So, you know, taking a kernel of what AWS provides and then wrapping our secret sauce around it, in partnership with other companies and then take into our clients, you know, that's what we're, I, it, the good part is we can quickly go from a discussion to a, go to market, a dialogue with our direct clients who are also here, which have been in real-time having those discussions. >>So emphasis a non has been a trusted advisor for clients predating the Dawn of cloud, if you will. Uh, and I'm sure that certain slices of your revenue don't wanna make this too uncomfortable. A question certain slices of your revenue are still dependent upon all of that. 80% of it. That's still on prem. How do you manage that? You're, you're laser focused on cobalt and you've got alliances. Um, everybody's looking towards the cloud. How do you balance that with the very real needs of Infosys as a business? Aren't you in the same boat as your customers, in terms of transformation? >>Well, you know, I, I would, I'm sorry, >>My eyes go back and forth. See, I told you it was gonna be easy for us to have a conversation. Yeah. Jump into >>W when you, when you look at the different partners out there, we have a discussion about being asset heavy asset light emphasis. Um, we, we grew up through application management, uh, and now as we're seeing these transformations go forward, the last thing we wanted to be is a server huggers. Uh, we're ready to accelerate these transformations as fast as possible. And, uh, you know, partners like AWS are recognizing that, uh, a non steam can go in there and be the disruptor to actually accelerate those transformation. >>Absolutely. In fact, involved when we spoke to some of the AWS executives, uh, we want to be the challenger, right? Because we don't carry any baggage. Uh, we clearly believe, as Gartner says that a cloud is going to be the, for business innovation, and we want to drive innovation and transformation for our customers. So essentially we want to make this relationship with AWS much bigger and better. We want to be the partners with our clients to drive business innovation with industry segments, industry clouds, solutions that drive opening, new markets, building better products and solutions, helping get better customer intimacy and those kinds of things. And so that's essentially what our thought processes with, uh, what we want to do. >>It's been mentioned a few times here that, uh, somewhere around 80 to 85% of it spend is still on premises. It's not in the cloud yet. So despite how large, we all think the AWS AWS universe has become so far, we're really just at the beginning stages. But what are you seeing in terms of clients hesitancy towards cloud at this point, has that changed over the last couple of years? Uh, what are the inhibiting factors that you see? What are the accelerants that you see at this stage of the game? >>Well, in fact, in fact, COVID unfortunately Colbert, uh, while it was all a very bad thing, but it actually helped accelerate customer's journey to cloud. Uh, in fact, uh, the, we have several customers who used to say that, you know, everybody has to come to office to work. Nobody can work remotely because there are security constraints that is, there will be impacted the security posture, but to when we hit March, 2020, and everybody had to work remote, it's the same set of customers who decided to go to cloud and started limited him to part of cloud. So I would say COVID in short has accelerated customers knowledge about cloud. They are no longer worried about security. They're no longer worried about, uh, latency and bandwidth. I think I don't see any major hesitancy at this point of time. Uh, but the trend that we're seeing towards cloud is cloud is going to be used more for innovation. And it's not just going to be about, take my data center and moving to cloud, right? So it's not going to be just those tactical reasons. Uh, and that's exactly what we did. We actually came out with a report, which says, moving from cloud chaos to cloud clarity, and it talks about all these facets of what are those strengths that customer should look for. So that's essentially what we use. >>So I imagine cobalt one of the kind of main ideas behind it is to remove friction associated with that move to cloud, to the extent that you can not be reinventing the wheel every single time you're engaging a customer. Is that, is that a fair statement? >>In fact, you know, many customers of ours, in fact, almost all of them are saying, we do not want to reinvent the wheel. So how can you help us? So what we have done as part of cobalt is to bring these reference architectures, right? So for example, if a financial services customer wants to fight fraud, fraud analytics is a reference architecture that we have. Uh, if the telco customer wants to implement 5g, we have a framework and a reference architecture for OSS BSS on cloud. Uh, if there is licenses customer who wants to basically look at drug discovery, we have an architecture for that. So we want to make it more and more in a inference architecture based without reinventing the wheel and bring the best practices from other customers to drive those scenarios. So that's essentially what we do. >>So cobalt underway, you've been recognized for a performance to this point. It's a lot of pressure for 2022. So what are you going to, what do you, what, what, what are you going to slap on the desk in 2022? When we get back together, >>We do plan to up bookends by this time next year, to, to able to pre >>It is perfectly acceptable by the way, to share both the 20, 21 and 2022 award on stage, because we have to make up for 2019 when we weren't here physically. >>But to build off of, with a, knotless saying about the, uh, you know, what's going on in the last 18 to 24 months, you know, we're seeing clients now that we have one that, uh, came to us with a 114 list of products that they bought from various partners, either directly through distributors and such and saying, listen, we no longer want to be in the procurement function. You know, we want to take these hundred and 14 products. We recognize we're going to get it down to 30 or 40 of the key ones, obviously a shifting a lot of that to cloud. And we were able to leverage emphasis cobalt to actually accelerate that and incorporate our partner components to help that shift. So I think next year, I think that will be a major theme that you're seeing clients recognize that the, the way in which they procure and they develop their it platform will be much different. And emphasis with the design we put in place will be in a key position to, to support them at that. Well, >>We recorded this. I'm not sure if you realized we were actually recording this, so we're going to go, we can go back and review this tape next year and we'll see. And I hope to see you then, David, thank you so much for joining us here at the cube and for the cube here in our continuous coverage at AWS reinvent 2021 live in Las Vegas. I'm Dave Nicholson saying stay tuned because there's always more on the cube. And I'd like to remind you that we are your leader in hybrid tech event coverage.

>>Hi today, I'm going to talk about network analytics and what that means for, for telecommunications as we go forward. Um, thinking about, uh, 5g, what the impact that's likely to have on, on network analytics and the data requirement, not just to run the network and to understand the network a little bit better. Um, but also to, to inform the rest of the operation of the telecommunications business. Um, so as we think about where we are in terms of network analytics and what that is over the last 20 years, the telecommunications industry has evolved its management infrastructure, uh, to abstract away from some of the specific technologies in the network. So what do we mean by that? Well, uh, in the, in the initial, uh, telecommunications networks were designed, there were management systems that were built in, um, eventually fault management systems, uh, assurance systems, provisioning systems, and so on were abstracted away. >>So it didn't matter what network technology had, whether it was a Nokia technology or Erickson technology or Huawei technology or whatever it happened to be. You could just look at your fault management system, understand where false, what happened as we got into the last sort of 10, 15 years or so. Telecommunication service providers become became more sophisticated in terms of their approach to data analytics and specifically network analytics, and started asking questions about why and what if in relation to their network performance and network behavior. And so network analytics as a, as a bit of an independent function was born and over time, more and more data began to get loaded into the network analytics function. So today just about every carrier in the world has a network analytics function that deals with vast quantities of data in big data environments that are now being migrated to the cloud. >>As all telecommunications carriers are migrating as many it workloads as possible, um, to the cloud. So what are the things that are happening as we migrate to the cloud that drive, uh, uh, enhancements in use cases and enhancements and scale, uh, in telecommunications network analytics? Well, 5g is the big thing, right? So 5g, uh, it's not just another G in that sense. I mean, in some cases, in some senses, it is 5g means greater bandwidth, lower latency and all those good things. So, you know, we can watch YouTube videos with less interference and, and less sluggish bandwidth and so on and so forth. But 5g is really about the enterprise and enterprise services. Transformation, 5g is more secure, kind of a network, but 5g is also a more pervasive network 5g, a fundamentally different network topology than previous generations. So there's going to be more masts and that means that you can have more pervasive connectivity. >>Uh, so things like IOT and edge applications, autonomous cars, smart cities, these kinds of things, um, are all much better served because you've got more masks that of course means that you're going to have a lot more data as well. And we'll get to that. The second piece is immersive digital services. So with more masks, with more connectivity, with lower latency with higher man, the potential, uh, is, is, is, is immense for services innovation. And we don't know what those services are going to be. We know that technologies like augmented reality, virtual reality, things like this have great potential. Um, but we, we have yet to see where those commercial applications are going to be, but the innovation and the innovation potential for 5g is phenomenal. Um, it certainly means that we're going to have a lot more, uh, edge devices, um, uh, and that again is going to lead to an increase in the amount of data that we have available. >>And then the idea of pervasive connectivity when it comes to smart, smart cities, uh, autonomous, autonomous currents, um, uh, integrated traffic management systems, um, all of this kind of stuff, those of those kind of smart environments thrive where you've got this kind of pervasive connectivity, this persistent, uh, connection to the network. Um, again, that's going to drive, um, um, uh, more innovation. And again, because you've got these new connected devices, you're going to get even more data. So this rise, this exponential rise in data is really what's driving the change in, in network analytics. And there are four major vectors that are driving this increase in data in terms of both volume and in terms of speed. So the first is more physical elements. So we said already that 5g networks are going to have a different apology. 5g networks will have more devices, more and more masks. >>Um, and so with more physical elements in the network, you're going to get more physical data coming off those physical networks. And so that needs to be aggregated and collected and managed and stored and analyzed and understood when, so that we can, um, have a better understanding as to why things happened the way they do, why the network behaves in which they do in, in, in, in ways that it does and why devices that are connected to the network. And ultimately of course, consumers, whether they be enterprises or retail customers, um, behave in the way they do in relation to their interaction within our edge nodes and devices, we're going to have a, uh, an explosion in terms of the number of devices. We've already seen IOT devices with your different kinds of trackers and, uh, and, and sensors that are hanging off the edge of the network, whether it's to make buildings smarter car smarter, or people smarter, um, in, in terms of having the, the, the measurements and the connectivity and all that sort of stuff. >>So the numbers of devices on the agent beyond the age, um, are going to be phenomenal. One of the things that we've been trying to with as an industry over the last few years is where does the telco network end, and where does the enterprise, or even the consumer network begin. You used to be very clear that, you know, the telco network ended at the router. Um, but now it's not, it's not that clear anymore because in the enterprise space, particularly with virtualized networking, which we're going to talk about in a second, um, you start to see end to end network services being deployed. Um, uh, and so are they being those services in some instances are being managed by the service provider themselves, and in some cases by the enterprise client, um, again, the line between where the telco network ends and where the enterprise or the consumer network begins, uh, is not clear. >>Uh, so, so those edge, the, the, the proliferation of devices at the age, um, uh, in terms of, um, you know, what those devices are, what the data yield is and what the policies are, their need to govern those devices, um, in terms of security and privacy, things like that, um, that's all going to be really, really important virtualized services. We just touched on that briefly. One of the big, big trends that's happening right now is not just the shift of it operations onto the cloud, but the shift of the network onto the cloud, the virtualization of network infrastructure, and that has two major impacts. First of all, it means that you've got the agility and all of the scale, um, uh, benefits that you get from migrating workloads to the cloud, the elasticity and the growth and all that sort of stuff. But arguably more importantly for the telco, it means that with a virtualized network infrastructure, you can offer entire networks to enterprise clients. >>So if you're selling to a government department, for example, is looking to stand up a system for certification of, of, you know, export certification, something like that. Um, you can not just sell them the connectivity, but you can sell them the networking and the infrastructure in order to serve that entire end to end application. You could sentence, you could offer them in theory, an entire end-to-end communications network, um, and with 5g network slicing, they can even have their own little piece of the 5g bandwidth that's been allocated against the carrier, um, uh, and, and have a complete end to end environment. So the kinds of services that can be offered by telcos, um, given virtualize network infrastructure, uh, are, are many and varied. And it's a, it's a, it's a, um, uh, an outstanding opportunity. But what it also means is that the number of network elements virtualized in this case is also exploding. >>That means the amount of data that we're getting on, uh, informing us as to how those network elements are behaving, how they're performing, um, uh, is, is, is going to go up as well. And then finally, AI complexity. So on the demand side, um, while historically, uh, um, network analytics, big data, uh, has been, has been driven by, um, returns in terms of data monetization, uh, whether that's through cost avoidance, um, or service assurance, uh, or even revenue generation through data monetization and things like that. AI is transforming telecommunications and every other industry, the potential for autonomous operations, uh, is extremely attractive. And so understanding how the end-to-end telecommunication service delivering delivery infrastructure works, uh, is essential, uh, as a training ground for AI models that can help to automate a huge amount of telecommunications operating, um, processes. So the AI demand for data is just going through the roof. >>And so all of these things combined to mean big data is getting explosive. It is absolutely going through the roof. So that's a huge thing that's happening. So as telecommunications companies around the world are looking at their network analytics infrastructure, which was initially designed for service insurance primarily, um, and how they migrate that to the cloud. These things are impacting on those decisions because you're not just looking at migrating a workload to operate in the cloud that used to work in the, in the data center. Now you're looking at, um, uh, migrating a workload, but also expanding the use cases in that work and bear in mind, many of those, those are going to need to remain on prem. So they'll need to be within a private cloud or at best a hybrid cloud environment in order to satisfy a regulatory jurisdictional requirements. So let's talk about an example. >>So LGU plus is a Finastra fantastic service provider in Korea. Um, huge growth in that business over the last, uh, over the last 10, 15 years or so. Um, and obviously most people will be familiar with LG, the electronics brand, maybe less so with, uh, with LG plus, but they've been doing phenomenal work. And we're the first, uh, business in the world who launch commercial 5g in 2019. And so a huge milestone that they achieved. And at the same time they deploy the network real-time analytics platform or in rep, uh, from a combination of Cloudera and our partner calmer. Now, um, there were a number of things that were driving, uh, the requirement for it, for the, for the analytics platform at the time. Um, clearly the 5g launch was that was the big thing that they had in mind, but there were other things that re so within the 5g launch, um, uh, they were looking for, for visibility of services, um, and service assurance and service quality. >>So, you know, what services have been launched? How are they being taken up? What are the issues that are arising, where are the faults happening? Um, where are the problems? Because clearly when you launch a new service, but then you want to understand and be on top of the issues as they arise. Um, so that was really, really important. The second piece was, and, you know, this is not a new story to any telco in the world, right. But there are silos in operation. Uh, and so, um, taking advantage of, um, or eliminating redundancies through the process, um, of, of digital transformation, it was really important. And so particular, the two silos between wired and the wireless sides of the business come together so that there would be an integrated network management system, um, for, uh, for LGU plus, as they rolled out 5g. So eliminating redundancy and driving cost savings through the, the integration of the silos is really, really important. >>And that's a process and the people thing every bit, as much as it is a systems and a data thing. So, um, another big driver and the fourth one, you know, we've talked a little bit about some of these things, right? 5g brings huge opportunity for enterprise services, innovation. So industry 4.0 digital experience, these kinds of use cases, um, are very important in the south Korean marketing and in the, um, in the business of LGU plus. And so, uh, um, looking at AI and how can you apply AI to network management? Uh, again, there's a number of use cases, really, really exciting use cases that have gone live now, um, in LG plus since, uh, since we did this initial deployment and they're making fantastic strides there, um, big data analytics for users across LGU plus, right? So it's not just for, um, uh, it's not just for the immediate application of 5g or the support or the 5g network. >>Um, but also for other data analysts and data scientists across the LGU plus business network analytics, while primarily it's primary it's primary use case is around network management, um, LGU plus, or, or network analytics, um, has applications across the entire business, right? So, um, you know, for customer churn or next best offer for understanding customer experience and customer behavior really important there for digital advertising, for product innovation, all sorts of different use cases and departments within the business needed access to this information. So collaboration sharing across the network, the real-time network analytics platform, um, it was very important. And then finally, as I mentioned, LG group is much bigger than just LG plus it's because the electronics and other pieces, and they had launched a major group wide digital transformation program in 2019, and still being a part of that was, well, some of them, the problems that they were looking to address. >>Um, so first of all, the integration of wired and wireless data service data sources, and so getting your assurance data sources, your network, data sources, uh, and so on integrated with is really, really important scale was massive for them. Um, you know, they're talking about billions of transactions in under a minute, uh, being processed, um, and hundreds of terabytes per day. So, uh, you know, phenomenal scale, uh, that needed to be available out of the box as it were, um, real time indicators and alarms. And there was lots of KPIs and thresholds set that, you know, w to make, make it to meet certain criteria, certain standards, um, customer specific, real time analysis of 5g, particularly for the launch root cause analysis, an AI based prediction on service, uh, anomalies and service service issues was, was, was a core use case. Um, as I talked about already the provision of service of data services across the organization, and then support for 5g, uh, served the business service, uh, impact, uh, was extremely important. >>So it's not just understand well, you know, that you have an outage in a particular network element, but what is the impact on the business of LGU plus, but also what is the impact on the business of the customer, uh, from an outage or an anomaly or a problem on, on, on the network. So being able to answer those kinds of questions really, really important, too. And as I said, between Cloudera and Kamarck, uh, uh, and LGU plus, uh, really themselves an intrinsic part of the solution, um, uh, this is, this is what we, we ended up building. So a big complicated architecture space. I really don't want to go into too much detail here. Um, uh, you can see these things for yourself, but let me skip through it really quickly. So, first of all, the key data sources, um, you have all of your wireless network information, other data sources. >>This is really important because sometimes you kind of skip over this. There are other systems that are in place like the enterprise data warehouse that needed to be integrated as well, southbound and northbound interfaces. So we get our data from the network and so on, um, and network management applications through file interfaces. CAFCA no fire important technologies. And also the RDBMS systems that, uh, you know, like the enterprise data warehouse that we're able to feed that into the system. And then northbound, um, you know, we spoke already about me making network analytics services available across the enterprise. Um, so, uh, you know, uh, having both the file and the API interface available, um, for other systems and other consumers across the enterprise is very important. Um, lots of stuff going on then in the platform itself to petabytes and persistent storage, um, Cloudera HDFS, 300 nodes for the, the raw data storage, um, uh, and then, uh, could do for real time storage for real-time indicator analysis, alarm generation, um, uh, and other real time, um, processes. >>Uh, so there, that was the, the core of the solution, uh, spark processes for ETL key quality indicators and alarming, um, and also a bunch of work done around, um, data preparation, data generation for transferal to, to third party systems, um, through the northbound interfaces, um, uh, Impala, API queries, um, for real-time systems, uh, there on the right hand side, and then, um, a whole bunch of clustering classification, prediction jobs, um, through the, uh, the, the, the, the ML processes, the machine learning processes, uh, again, another key use case, and we've done a bunch of work on that. And, um, I encourage you to have a look at the Cloudera website for more detail on some of the work that we did here. Um, so this is some pretty cool stuff. Um, and then finally, just the upstream services, some of these there's lots more than, than, than simply these ones, but service assurance is really, really important. So SQM cm and SED grade. So the service quality management customer experience, autonomous controllers, uh, really, really important consumers of, of the, of the real-time analytics platform, uh, and your conventional service assurance, um, functions like faulted performance management. Uh, these things are as much consumers of the information and the network analytics platform as they are providers of data to the network, uh, analytics >>Platform. >>Um, so some of the specific use cases, uh, that, uh, have been, have been stood up and that are delivering value to this day and lots of more episodes, but these are just three that we pulled out. Um, so first of all, um, uh, sort of specific monitoring and customer quality analysis, Karen response. So again, growing from the initial 5g launch and then broadening into broader services, um, understanding where there are the, where there are issues so that when people complaining, when people have an issue, um, that, um, uh, that we can answer the, the concerns of the client, um, in a substantive way, um, uh, AI functions around root cause analysis or understanding why things went wrong when they went wrong. Um, uh, and also making recommendations as to how to avoid those occurrences in the future. Uh, so we know what preventative measures can be taken. Um, and then finally the, uh, the collaboration function across LGU plus extremely important and continues to be important to this day where data is shared throughout the enterprise, through the API Lira through file interfaces and other things, and through interface integrations with, uh, with upstream systems. >>So, um, that's kind of the, the, uh, real quick run through of LGU plus the numbers are just stave staggering. Um, you know, we've seen, uh, upwards of a billion transactions in under 40 seconds being, um, uh, being tested. Um, and, and we've gone beyond those thresholds now, already, um, and we're started and, and, and, and this isn't just a theoretical sort of a benchmarking test or something like that. We're seeing these kinds of volumes of data and not too far down the track. So, um, with those things that I mentioned earlier with the proliferation of, of, um, of network infrastructure, uh, in the 5g context with virtualized elements, with all of these other bits and pieces are driving massive volumes of data towards the, uh, the, the, the network analytics platform. So phenomenal scale. Um, this is just one example we work with, with service providers all over the world is over 80% of the top 100 telecommunication service providers run on Cloudera. >>They use Cloudera in the network, and we're seeing those customers, all migrating legacy cloud platforms now onto CDP onto the Cloudera data platform. Um, they're increasing the, the, the jobs that they do. So it's not just warehousing, not just ingestion ETL, and moving into things like machine learning. Um, and also looking at new data sources from places like NWTF the network data analytics function in 5g, or the management and orchestration layer in, in software defined networks, network, function, virtualization. So, you know, new use cases coming in all the time, new data sources coming in all the time growth in, in, in, in the application scope from, as we say, from edge to AI. Um, and so it's, it's really exciting to see how the, the, the, the footprint is growing and how, uh, the applications in telecommunications are really making a difference in, in facilitating, um, network transformation. And that's covering that. That's me covered for today. I hope you found that helpful, um, by all means, please reach out, uh, there's a couple of links here. You can follow me on Twitter. You can connect to the telecommunications page, reach out to me directly at Cloudera. I'd love to answer your questions, um, uh, and, uh, and talk to you about how big data is transforming networks, uh, and how network transformation is, is accelerating telcos, uh, throughout >>Jamie Sharath with Liga data, I'm primarily on the delivery side of the house, but I also support our new business teams. I'd like to spend a minute really just kind of telling you about the legal data, where basically a Silicon valley startup, uh, started in 2014, and, uh, our lead iron, our executive team, basically where the data officers at Yahoo before this, uh, we provide managed data services, and we provide products that are focused on telcos. So we have some experience in non telco industry, but our focus for the last seven years or so is specifically on telco. So again, something over 200 employees, we have a global presence in north America, middle east Africa, Asia, and Europe. And we have folks in all of those places, uh, I'd like to call your attention to the, uh, the middle really of the screen there. So here is where we have done some partnership with Cloudera. >>So if you look at that and you can see we're in Holland and Jamaica, and then a lot to throughout Africa as well. Now, the data fabric is the product that we're talking about. And the data fabric is basically a big data type of data warehouse with a lot of additional functionality involved. The data fabric is comprised of, uh, some something called a flare, which we'll talk about in a minute below there, and then the Cloudera data platform underneath. So this is how we're partnering together. We, uh, we, we have this tool and it's, uh, it's functioning and delivering in something over 10 up. So flare now, flare is a piece of that legal data IP. The rest is there. And what flare does is that basically pulls in data, integrates it to an event streaming platform. It's, uh, it is the engine behind the data fabric. >>Uh, it's also a decisioning platform. So in real time, we're able to pull in data. We're able to run analytics on it, and we're able to alert are, do whatever is needed in a real-time basis. Of course, a lot of clients at this point are still sending data in batch. So it handles that as well, but we call that a CA picture Sanchez. Now Sacho is a very interesting app. It's an AI analytics app for executives. What it is is it runs on your mobile phone. It ties into your data. Now this could be the data fabric, but it couldn't be a standalone product. And basically it allows you to ask, you know, human type questions to say, how are my gross ads last week? How are they comparing against same time last week before that? And even the same time 60 days ago. So as an executive or as an analyst, I can pull it up and I can look at it instantly in a meeting or anywhere else without having to think about queries or anything like that. >>So that's pretty much for us at legal data, not really to set the context of where we are. So this is a traditional telco environments. So you see the systems of record, you see the cloud, you see OSS and BSS data. So one of the things that the next step above which calls we call the system of intelligence of the data fabric does, is it mergers that BSS and OSS data. So the longer we have any silos or anything that's separated, it's all coming into one area to allow business, to go in or allow data scientists go in and do that. So if you look at the bottom line, excuse me, of the, uh, of the system of intelligence, you can see that flare is the tools that pulls in the data. So it provides even streaming capabilities. It preserves entity states, so that you can go back and look at it state at any time. >>It does stream analytics that is as the data is coming in, it can perform analytics on it. And it also allows real-time decisioning. So that's something that, uh, that's something that business users can go in and create a system of, uh, if them's, it looks very much like the graph database, where you can create a product that will allow the user to be notified if a certain condition happens. So for instance, a bundle, so a real-time offer or user is succinct to run out of is ongoing, and an offer can be sent to him right on the fly. And that's set up by the business user as opposed to programmers, uh, data infrastructure. So the fabric has really three areas. That data is persistent, obviously there's the data lake. So the data lake stores that level of granularity that is very deep years and years of history, data, scientists like that, uh, and, uh, you know, for a historical record keeping and requirements from the government, that data would be stored there. >>Then there's also something we call the business semantics layer and the business semantics layer contains something over 650 specific telco KPIs. These are initially from PM forum, but they also are included in, uh, various, uh, uh, mobile operators that we've delivered at. And we've, we've grown that. So that's there for business data lake is there for data scientists, analytical stores, uh, they can be used for many different reasons. There are a lot of times RDBMS is, are still there. So these, this, this basically platform, this cloud they're a platform can tie into analytical data stores as well via flair access and reporting. So graphic visualizations, API APIs are a very key part of it. A third-party query tools, any kind of grid tools can be used. And those are the, of course, the, uh, the ones that are highly optimized and allow, you know, search of billions of records. >>And then if you look at the top, it's the systems of engagement, then you might vote this use cases. So teleco reporting, hundreds of KPIs that are, that are generated for users, segmentation, basically micro to macro segmentation, segmentation will play a key role in a use case. We talked about in a minute monetization. So this helps teleco providers monetize their specific data, but monetize it in. Okay, how to, how do they make money off of it, but also how might you leverage this data to engage with another client? So for instance, in some where it's allowed a DPI is used, and the fabric tracks exactly where each person goes each, uh, we call it a subscriber, goes within his, uh, um, uh, internet browsing on the, on the four or 5g. And, uh, the, all that data is stored. Uh, whereas you can tell a lot of things where the segment, the profile that's being used and, you know, what are they propensity to buy? Do they spend a lot of time on the Coca-Cola page? There are buyers out there that find that information very valuable, and then there's signs of, and we spoke briefly about Sanchez before that sits on top of the fabric or it's it's alone. >>So, so the story really that we want to tell is, is one, this is, this is one case out of it. This is a CVM type of case. So there was a mobile operator out there that was really offering, you know, packages, whether it's a bundle or whether it's a particular tool to subscribers, they, they were offering kind of an abroad approach that it was not very focused. It was not depending on the segments that were created around the profiling earlier, uh, the subscriber usage was somewhat dated and this was causing a lot of those. A lot of those offers to be just basically not taken and, and not, not, uh, audited. Uh, there was limited segmentation capabilities really before the, uh, before the, uh, fabric came in. Now, one of the key things about the fabric is when you start building segments, you can build that history. >>So all of that data stored in the data lake can be used in terms of segmentation. So what did we do about that? The, the, the envy and, oh, the challenge this, uh, we basically put the data fabric in and the data fabric was running Cloudera data platform and that, uh, and that's how we team up. Uh, we facilitated the ability to personalize campaign. So what that means is, uh, the segments that were built and that user fell within that segment, we knew exactly what his behavior most likely was. So those recommendations, those offers could be created then, and we enable this in real time. So real-time ability to even go out to the CRM system and gather further information about that. All of these tools, again, we're running on top of the Cloudera data platform, uh, what was the outcome? Willie, uh, outcome was that there was a much more precise offer given to the client that is, that was accepted, no increase in cross sell and upsell subscriber retention. >>Uh, our clients came back to us and pointed out that, uh, it was 183% year on year revenue increase. Uh, so this is a, this is probably one of the key use cases. Now, one thing to really mention is there are hundreds and hundreds of use cases running on the fabric. And I would even say thousands. A lot of those have been migrated. So when the fabric is deployed, when they bring the Cloudera and the legal data solution in there's generally a legacy system that has many use cases. So many of those were, were migrated virtually all of them in pen, on put on the cloud. Uh, another issue is that new use cases are enabled again. So when you get this level of granularity and when you have campaigns that can now base their offers on years of history, as opposed to 30 days of history, the campaigns campaign management response systems, uh, are, are, uh, are enabled quite a bit to do all, uh, to be precise in their offers. Okay. >>Okay. So this is a technical slide. Uh, one of the things that we normally do when we're, when we're out there talking to folks, is we talk and give an overview and that last little while, and then we give a deep technical dive on all aspects of it. So sometimes that deep dive can go a couple of hours. I'm going to do this slide and a couple of minutes. So if you look at it, you can see over on the left, this is the, uh, the sources of the data. And they go through this tool called flare that runs on the cloud. They're a data platform, uh, that can either be via cues or real-time cues, or it can be via a landing zone, or it can be a data extraction. You can take a look at the data quality that's there. So those are built in one of the things that flare does is it has out of the box ability to ingest data sources and to apply the data quality and validation for telco type sources. >>But one of the reasons this is fast to market is because throughout those 10 or 12, uh, opcos that we've done with Cloudera, where we have already built models, so models for CCN, for air for, for most mediation systems. So there's not going to be a type of, uh, input that we haven't already seen are very rarely. So that actually speeds up deployment very quickly. Then a player does the transformations, the, uh, the metrics, continuous learning, we call it continuous decisioning, uh, API access. Uh, we, uh, you know, for, for faster response, we use distributed cash. I'm not going to go too deeply in there, but the layer in the business semantics layer again, are, are sitting on top of the Cloudera data platform. You see the Kafka CLU, uh, Q1, the right as well. >>And all of that, we're calling the fabric. So the fabric is Cloudera data platform and the cloud and flair and all of this runs together. And, and by the way, there've been many, many, many, many hundreds of hours testing flare with Cloudera and, uh, and the whole process, the results, what are the results? Well, uh, there are, there are four I'm going to talk about, uh, we saw the one for the, it was called my pocket pocket, but it's a CDM type, a use case. Uh, the subscribers of that mobile operator were 14 million plus there was a use case for 24 million plus that a year on year revenue was 130%, uh, 32 million plus for 38%. These are, um, these are different CVM pipe, uh, use cases, as well as network use cases. And then there were 44%, uh, telco with 76 million subscribers. So I think that there are a lot more use cases that we could talk about, but, but in this case, this is the ones we're looking at, uh, again, 183%. This is something that we find consistently. And these figures come from our, uh, our actual end client. How do we unlock the full potential of this? Well, I think to start is to arrange a meeting and, uh, it would be great to, to, uh, for you to reach out to me or to Anthony. Uh, we're working at the junction on this, and we can set up a, uh, we can set up a meeting and we can go through this initial meeting. And, uh, I think that's the very beginning. Uh, again, you can get additional information from Cloudera website and from the league of data website, Anthony, that's the story. Thank you. >>No, that's great. Jeremy, thank you so much. It's a, it's, it's wonderful to go deep. And I know that there are hundreds of use cases being deployed in MTN, um, but great to go deep on one. And like you said, it can, once you get that sort of architecture in place, you can do so many different things. The power of data is tremendous, but it's great to be able to see how you can, how you can track it end to end from collecting the data, processing it, understanding it, and then applying it in a commercial context and bringing actual revenue back into the business. So there is your ROI straight away. Now you've got a platform that you can transform your business on. That's, that's, it's a tremendous story, Jamie, and thank you for your part. Sure. Um, that's a, that's, that's our story for today. Like Jamie says, um, please do flee, uh, feel free to reach out to us. Um, the, the website addresses are there and our contact details, and we'd be delighted to talk to you a little bit more about some of the other use cases, perhaps, um, and maybe about your own business and, uh, and how we might be able to make it, make it perform a little better. So thank you.

(upbeat music) >> Okay, we're back. We're here in the main stage in Cloud City. I'm John Furrier and Dave Vellante. Normally, we're over there on theCUBE set, but here we've got a special presentation. We'll talk about Totogi and the new CEO of Totogi is Danielle, who is also the CEO of TelcoDR, Digital Revolution. Great to see you. And of course, Robin Langley, we interviewed you in theCUBE, CTO of Totogi. This is a main stage conversation because this is the big news. >> Yeah. >> You guys launched there with a hundred million dollar investment. We covered that news a couple weeks ago and you as the CEO. What's the story. Tell us what is happening with Totogi? Why such a big focus? What's the big push? >> Yeah, I'm really excited about Totogi because I really think this team is working to build public cloud tools for Telco the right way. It's everything I've been talking about. I talked about it yesterday in my keynote and this is really the execution of that vision. So, I'm super excited about that. A couple of days ago, Rob and I were talking about the charging system, but there's another product that Totogi introduced to the world and that's the webscale BSS system. So I think we're going to talk about that today. It's going to be great. >> Let's get into actually the charging system, which was great processing here. What is this focus? What is BSS about with cloud? How does the public cloud innovation change the game with this? >> Well, a little bit like charging. I mean, there are maybe, you know, a hundred plus BSS systems out there, why does the world need yet another BSS? And I think one thing is we're coupling up with public cloud, which gives it that webscale element. Right? We can have a platform. Never do another upgrade again, which I think is really exciting. But I think the really key thing that we're working on is we're building on top of an open API standard. And a lot of vendors talk about their APIs, why is this different? These are standards developed by TM forum, right? It's an independent body in our industry. They've been working on these, sorry, open APIs, and all the different vendors signed a manifesto that say, "I pledge. I pledge to support the open API", but if you look at the leaderboard and everyone is Sub10, Sub5, right? And so it's kind of like, going through the actions and not falling, you know, saying it, but not following it up and we're doing it. >> Wow, so... >> Yeah. >> Dave: Robin, you guys just popped up on the leaderboard. You went from a standing start to, I think more than 10. >> Yeah. >> I don't think that's ever been done before, has it? >> No, so we were out there. We published 12 APIs and we've got a quote from, you know, TM forums saying, essentially I've never seen anyone move so fast and to publish. And it's our intent to publish, you know, 50 plus, all of their APIs by the end of the year. >> So, how were you able to do that? I mean, like, were you holding them back? Just kind of dumping them on one day? This is the nature of the new business, isn't it? >> Yeah, absolutely and then you think about BSS. It's just, you know, been known for years to be a spaghetti of, you know, applications, you know, disparate data, data being duplicated, systems not talking to each other, lots of different interface types. And it was crying out to be just, you know, sold properly in the cloud. And the public cloud is perfect for this. You know, we can build a model and start, rather than looking at the applications first, you know, let's look at the model, the unified model and build on those open APIs and then start to, you know, allow people to come in and create an ecosystem of applications all using that same model. >> If you don't mind me asking you, if you can explain. 'Cause we talked before we weren't on camera, but we talked about the cloud and you were explaining to me how this is perfect for the challenges that you guys are trying to solve. What about the public cloud dynamic or innovation component that you guys are leveraging? Take us through a little bit on that, because I think that's a big story here that's under the covers is... >> Yeah. >> What you're capable of doing here. Do you mind explaining? >> Yeah, no, absolutely. So the cloud gives us this true scalability across everything. You know, we can scale to billions of records. So we can hook in, you know, to suck in data from, you know, our on-premise systems anywhere. We have, you know, a product called Devflow, so we used to do that. And it can really allow us to bring that data in, scale-out, use standard term cloud innovations, like Lambda functions and AWS, you know, DynamoDB, and present that, you know, through that open API. So we can use, you know graphQL, you know, present that with rest on top. And so you can then build on top of that. You can take any low code, no code application building tool you like, put that on top and then start building your own ecosystem. You can build inventory systems, CRM, anything you like. >> Well one thing that's really interesting about these projects is they usually take months, years to deploy, right? And what we're doing is we're providing, almost BSS as a service, right? It's an API layer that anyone can go to. Maybe you need to use it for five minutes, five months, five years, right? With the open standard and your own developers can learn how to use this text stack and code to it doesn't require us. And so we're really trying to get away from being an SI, you know, systems integrator or heavy services revenue, and instead build the product that enables the telcos to use their own people, to build the applications that they, they know what they want, and so, here you go. >> It's a platform. >> Yeah. >> It's a platform. >> So, how do you connect to systems on the ground? Like what's the modern approach to doing that? >> Yeah, go for it. >> Yeah so, telcos have, you know, a huge amount of data on premise. They have difficulties you can get to it. So, as I mentioned before, we had this Devflows product and it has connectors. We have like 30 plus connectors to all the standard sort of, billing systems, CRM systems, you know, we can hook into things like Salesforce. And we can create either, you know, couple of a real-time interface in there, or we can start to suck data into the cloud and then make it available. So, if they want to start with a nice, easy step and just build slowly, we can just hook in and pull that information out. If there may be, you know, an attribute that you want to, you know, use in some of that application, you can easily get to it. And then, you know, over time you start to build your data into the cloud and then you've got the scale, you know, and all the innovations of that brings with it. >> So is Devflow an on-ramp, if you will, for the public cloud, is that the way you were thinking about it? >> Yeah. >> Yeah. Yeah, I mean, I call it the slurper. (group chuckles) Right. I mean, these telcos have, like Robin was saying, spaghetti systems that have been, you know, customized and connected and integrated. I mean, it is a jungle out there of data. They're not going to be able to move this in one step. We just think of like a pile of spaghetti, like the whole bowl. >> Overcooked spaghetti. >> Right overcooked, the whole bowl comes out and it's really hard to just pull out one noodle and the rest is there and what are you going to do? And so the slurper, right, Devflows, allows you to select which data you want to pull out. It could be one time, you could have it sync. You don't have to do the whole thing and it doesn't disrupt the production environment that's on-premise. But now you're starting to move your data into the public cloud and then like Robin was saying, you can throw it up against quick sites. You can throw it up against different Amazon services. You can create new applications. And so it's not this like, you know, big bang kind of approach. You can start to do it in pieces and I think that's what the industry needs. >> I'm talking about this the other day, when we're talk about charging. What a lot of vendors will do is they'll put a wrapper around it, containerize it and then shove it into the public cloud and say, "Okay". >> Check mark. >> Yeah a checkbox. And it affects how they price, if they price the same way. But we talked a lot about pricing the other day, really pricing like cloud, consumption pricing. How are you pricing in this case? >> Same with the charging system. The BSS system is paid by the use, paid by the API call. So, really excited to introduce yet, again, a free tier. We think we're doing 500 million API calls per month for free. We think this is great for a smaller telco where like, you're experimenting and just getting to know the system and before you like, go all in and buy. And I think that API pricing is going to go right at the heart of some of these vendors that love to charge by the subscriber or a perpetual license agreement, right? They're not quite moving as a service. And so, yeah. >> Are you saying, they're going to be disruptive in the pricing in terms of lower cost or more, consumable. >> And I think it's also an easier on ramp, right? It's easier to start paying by the use and experimenting. And it's really easy, just like I was talking about with charging, where you're going to get the same great product that you would sell to a tier one at a price that you can afford. And now those smaller two or three guys aren't having to make a trade off between great technology, but I'm paying through the nose or sacrifice on the tech, but I can afford it. And so, I think you're going to see this ecosystem of people starting to learn how to code and think in this way. Telcos have already decided that they want to adopt the TM forum, open APIs. They're on all the RFPs. Do you support it? Everyone says they support it, but we don't see anyone really doing it. They're not on the leaderboard. >> And there's transparency, because you're pricing by API call, right? Versus the spaghetti, you guys call it, the hairball of what am I paying for? >> Right, you're getting, all of this. It's by the subscriber. It's millions and millions of dollars. Oh, and you know, you're going to need to buy a bunch of consulting revenue to make it all work and talk to each other. Pay up, right? And that's what we're living in today. And I'm taking us to the, you know, public cloud future by the API. >> This is the big cloud revolution. It's unbundling has been a really big part of the consumption of technology paid by the usage, get in, get some value, get some data, understand what it is, double down on it, iterate. >> Put it up with different services that are available that we don't have, but Amazon uses, right? They have call centers up there, they have ML that you may want to use like, start using it, start coding, start learning about the AWS tech stack. >> So is it available now? >> Yeah. >> Yeah. No, it's available now. We've already published the swagger for the BSS APIs. So, you know, they can come on board, they can go to access to all the API straight away and start using it. They can load up their favorite REST clients and then start developing. >> So you got a dozen APIs today. Where are we headed? What can we expect? >> All by the end of the year. There's over 50 APIs. You know, the number one guy on the board is at like 22, 21, 22 APIs covered. We'll be 50 plus by the end of the year. And we're just going to blow doors. >> The API economy has come to telco. >> Yeah, I mean, it's really BSS' Lego pieces, right. Assembling these different components and really opening it up. And I think there's been a lot of power by the vendors to keep it locked down, keep it close. Yes, we have an API, but you got to use our people to do it. Here's the hundreds of thousands or millions of dollars that you're going to pay us and keep us in business, and fat and happy, and I'm coming right in on the low end. Right, dropping that price, opening it up. I think telcos are going to love it. >> Well, Mike, you said too, you'll allow the smaller telcos to have the same, actually, better capabilities than the larger telcos, right? Maybe the stack's not as mature or whatever, but they'll get there and they'll get there with a simpler, easier to understand pricing model and way, way faster. >> Yeah. >> All right and that's where the disruption comes. >> And I Think this is where AWS has really done well as a hyper scaler against their competition, is that they've really gotten to market very quickly with their services. Maybe they're not perfect, but they ship 'em. And they get them out there and they get people using them. They use them internally and they get them out. And I think this is where maybe some of the other hyperscalers, they hold them back and they wait until they're a little bit more mature. And AWS is one because they've been fast. And I want to sort of copy that feat. >> I think your idea of subscriber love in your keynote, and I think applies here because Amazon web services has done such a great job of working backwards from the customer. So they'd ship it fast on used cases that they know have been proven through customer interactions. >> Yep. >> They don't just make up new features. And then they iterate. They go, "Okay". >> Start simple, grow on that, learn from the market. What are people using? What are they not using? Iterate, iterate, iterate. >> Okay, so with that in mind, working backwards from your customer, how do you see the feature set evolving for this functionality? How do you see it evolving as a product? >> Yeah, I mean, I think all of the BSS systems today have been designed with manual people on the other side of the screen, right? And we've seen chat bots take off, we've seen, you know, using chat as support. I think we need to start getting into more automation right? Which is really going to change up telco, right? They have thousands of customer support agents and you're like, "Dude, I just want a SIM, that's all I need". >> Yeah. >> Just like, where do I push a button and send an Uber to my house and drop it off or eSim. And so, speeding up business, empowering the subscriber. We know how to interact, we just went through COVID where we learned about different apps that overnight, you can like order all of your groceries and order all of your food and there it is, and it was contactless and... >> It's funny, you said future of work, which we love that term, "work". Workloads, work force, you got all these kind of new dynamics going on with cloud enablement and the changes is radical. And the value is there. There's value opportunities. >> I mean like, you know, where are the ARVR applications, right? Where your agent pops. I saw the demo. There's a strife in Austin and they're going to kill me 'cause I can't remember their name. But they had a little on your mobile phone, a little holographic customer support. Like, "How can I help you"? Right. And I'm like, "Where's that", like, imagine you're like, ATT, you're not like on the phone for like an hour and a half trying to like, figure out what's wrong. And it's like, you know, it knows what's wrong. It understands my needs and so, no one's working on that. We're still working on, keyboards. >> Right, that and chat bot is a great example because it's all AI, and where's the best AI? It's in the cloud because that's where the data is. That's where the best of modeling has been. (chuckles) >> I think your point, it's the scale of data. >> Absolutely. >> And machine learning and AI needs a lot of data points to get really good. I mean, I'm old, I'm 50. I graduated in 1993. I took an AI class from Niels Nielsen, like the godfather of AI, right? Okay, like that AI, even 10 years ago AI, it's just moving so quickly and it's now super affordable. >> Well, I really want to thank you guys for coming up and sharing that knowledge and insight, congratulations on the product and open APIs. Love open API's open source with some new revolution. Danielle and Robin. Thank you so much. >> Thanks so much. >> Thank you. >> Thank you. >> Congratulations. Thank you everyone for coming. (crowd applauding) (people whooping) Okay, back to you in the studio at Cloud City.

(upbeat electronic music) >> Okay thanks, Adam, and the studio. We're here on the floor in Cloud City, right in the middle of all the action, the keynotes are going on in the background. It's a packed house. I'm John Furrier. Dave Vellante's on assignment, digging in, getting those stories. He'll have the analysis, he'll be back on theCUBE, but I want to welcome Chloe Richardson, who has been holding down the main stage here in Cloud City with amazing content that she's been hosting. Chloe, great to see you. Thanks for coming on theCUBE, and kicking it off day two with me. >> No, not at all. Thank you for having me! It's very exciting! I love what you guys have got over here, very fun! >> We're inside theCUBE. This is where all the action is, and also, Cloud City is really changing the game. If you look at what's going on here in Cloud City, it's pretty spectacular. >> No, I mean, the atmosphere is absolutely palpable. Isn't it? You can just feel it. People walk in and see what the future looks like for the telecoms industry. Very exciting. >> And you've been doing a great job on the main stage, we're really loving your content. Let's get into some of the content here. After the keynotes are going on, we're going to have DR maybe fly by the set later, we're going to check that out. But let's check out this videotape. This is TelcoDR. You got to check out this reel, and we'll be right back, and we'll talk about it. (smooth electronic music) >> TelcoDR burst onto the global telecom scene this year, making headlines for taking over the huge Erickson space at MWC 21, and for building Cloud City in just a hundred days. But why did the company go to such trouble? And what is their unique offering to the telecoms industry? And what drives their dynamic CEO, Danielle Royston, or DR, as everyone calls her? Cloud City Live caught up with DR, away from the hustle and bustle of the city to find out. (upbeat instrumental music) >> Hi, I'm Danielle Royston, coming to you from beautiful Barcelona! I'm here for MWC 21. About a hundred days ago, I decided to take over the iconic Erickson booth to turn it into Cloud City. Cloud City has over 30 vendors, and 70 demos, to introduce telco to what I think is the future for our industry. We're going to have three awesome experiences. We're going to talk about the new subscriber experience. We're going to talk about what's in store for the new network, and the future of work. And I'm really excited to create a community, and invite awesome telco executives to see this new feature. It's been a really tough 18 months, and we didn't know what MWC 21 was going to be like in terms of attendance. And so from the get-go, we planned this amazing experience that we call Cloud City Live. At Cloud City Live, we have two main components. We have the speaker series, where we have over 50 speakers from Amazon, Google, Microsoft, as well as CSPs, and awesome vendors, talking about the public cloud in telco. The second part of Cloud City Live is theCUBE. Think of this as like an ESPN desk of awesome tech interviews focused on telco and the public cloud, hosted by John furrier and Dave Vallente. Dave and John are going to talk to a variety of guests focused on telco in the public cloud. It's a great way for our virtual participants to feel like they're at the show, experiencing what's going on here. So excited to have them as part of the Cloud City booth. There's a ton of innovation going on in telco, and 20 years ago, Elon Musk set on his mission to Mars. I, like Elon Musk, am on a quest to take telco to the public cloud. Every year at MWC, there's always a flurry of announcements, and this year is no different. At this year's MWC, Totogi, a startup that I invested $1,000,000 in, will be launching. Totogi is introducing two products to the market this week at MWC. The first is at planetary scale charger. More than a charger, it's an engagement, coupling your network data with charging information to drive subscriber engagement, and doubling your ARPU. The second product that Totogi is introducing is a planetary scale BSS system, built on top of the TM Forum Open APIs. Both of these products will be available for viewing in the virtual booth, as well as on the show floor. The public cloud is an unstoppable mega trend that's coming to telco! I'm super excited to bring to you the vendors, the products, the demonstrations, and the speakers, both to people here in Barcelona, and virtually around the world! (upbeat instrumental music) Well, that was a fascinating insight into the origins of TelcoDR, why public cloud is going to truly disrupt the telecoms industry, and why DR herself is so passionate about it. If you'd like to find out more, come and see us at Cloud City. (groovy electronic music) >> Okay, thanks. Just rolling that reel. Chloe, I mean, look at that reel, I mean, DR, Danielle Royston, she's a star. And I've seen a lot of power players in the industry. She's got guts and determination, and she's got a vision, and she's not just, you know, making noise about telco and cloud, there's actually a lot of real good vision there! I mean, it's just so impressive. >> No, it really is. And for me, it's almost like the next moonshot. It's the moonshot of the telco world! She's innovative, she's exciting. And if we've learned anything over the last 18 months, it's that we need that in this industry, to grow for the future of the industry. So, so exciting. I think she's a real inspiration! >> And I love the fact that she's so takes the tiger by the tail. Because the telco industry is being disrupted, she's just driving the bus here. And I remember, I did a story on Teresa Carlson, who was with Amazon Web Services, she was running the public sector, and she was doing the same exact thing in that public sector world in DC, and around the world. She opened up regions in Bahrain, which as a woman, that was an amazing accomplishment. And she wasn't just a woman, she was just a power player! And she was an exceptional leader. I see DR doing the same thing, and people aren't going to like that, I'll tell you right now. People are going to be like, "Whoa, what's going on here?" >> Now of course, it's always that way we pioneers though, isn't it? At the time, people thinking what is going on here, we don't like change, why are being shaken up? But actually, afterwards, in retrospect, they think, "Oh, okay. I see why that happened, and we needed it." So, really exciting stuff. >> Making things happen, that's what we're doing here on theCUBE. Obviously, the main stage's doing a great job. Let's go check out this highlight reel. If you're watching and you missed some of the action, this is obviously the physical event back since 2019 in February, but there's also a hybrid event, a lot of virtual action going on. So, you got theCUBE Virtual, you got a lot of content on virtual sites. But in person here, we're going to go show you a highlight reel from what we did yesterday, and what was happening around the show. Enjoy this quick highlight reel from yesterday. (groovy electronic music) (cheerful instrumental music) (groovy electronic music) Okay. We're back here in theCUBE. We're on the main floor out here with Chloe, who is emceeing, hosting, and driving the content on the Cloud City main stage. Chloe, it's been great here. I mean so far, day one, I was watching your presentations and fireside chats you've been hosting. Awesome content. I mean, people are like jazzed up. >> Yeah, no, for sure. We had Scott Brighton on yesterday, who was our opening keynote on the live stage, and his session was all about the future of work, which is so relevant and so pertinent to now. And he talked about the way it's changing. And in 10 years, it's going to be a trillion dollar industry to be in the cloud at work. So, really interesting! I mean, yeah, the atmosphere here is great. Everyone's excited. It's new content everyday. And that's the thing, it's not stale content! It's stuff that people want to hear. People are here for the new hot trends, the new hot topics. It's very exciting. >> Yeah, the next big thing. And also it's a fiscal event, so since 2019, this Mobile World Congress has been a massive event, and hasn't happened since February, 2019. That's a lot of time that's elapsed in the industry because of COVID, and people are glad to be here. But a lot of stuff's changed! >> Yeah. It's a different world, right? I mean, two years in the telco industry is like a hundred years elsewhere. Everything has changed! Digital transformation migration, obviously cloud, which is what we're talking about over here at Cloud City Live. I'm wondering though, John, I'd like to pick your brains on something. >> John: Sure. >> It has changed in the last two years. We know that! But what about the future of Mobile World Congress? How do you see it changing in the next few years. >> Oh, man. That's a great question. I mean, my observation, I've been coming to the show for a very long time, over a decade and a half, and it's been a nerdy show about networks, and telecom, which is basically radios, and wireless, and then mobile. But it's very global, a lot of networks. But now it's evolving! And many people are saying, and we were talking on theCUBE yesterday, Dave Vellante was commenting, that this show is turning into a consumer like show. So CES is the big consumer electronics show in the US, in Las Vegas every year. This show has got a vibe, because of all the technology from the cloud players, and from the chips, getting smaller, faster, cheaper, more capability, lower power. So people look at the chips, the hardware. It's less about the speeds and feeds, it's more about the consumer experience. We got cars. I was talking to a guy yesterday, he said, "Vehicle e-commerce is coming." I went, "What the hell his vehicle e-commerce?" And you could be on your app driving down the freeway and go, "Hey, I want some food." Instead of having it delivered to you, you order it, you pick it up. So that's kind of what can be happening now in real time, you can do all kinds of other things. So, a lot of new things are happening. >> Yeah, I think so. Do you see that as another disruption for the industry? That is, the fact that it's moving to be more consumer focused? Is there anything we should be worried about in that space? >> Well, I think the incumbents are going to lose their positions. So I think in any new shift, new brands come in out of nowhere. And it's the people that you don't think about. It's the the company that you don't see. (audience in background applauding) And we got DR on the main stage right here, look at this! We saw her walk out with the confidence of a pro. >> Chloe: Yeah, for sure. >> She just walked out there, and she's not afraid. >> Well, as she said in her video, she is ready to wake them up! And you can see as soon as she walks out, that is what she intends to do today. >> I love her mojo. She's got a lot of energy. And back to the show, I mean, she's just an example of what I was saying. Like in every market shift, a new brand emerges. >> Chloe: Yep. >> I mean, even when Apple was tainted, they were about to shut down, they were going to run out of cash, when Steve Jobs brought back Apple, he consolidated and rebooted the company, the iPad was a seminal, iPod, a seminal moment. Then the iPhone, and just, the rest is history. That kind of disruption is coming. You're going to see that now. >> Oh, it's exciting though, isn't it? To be future ready, rather than future proof! But actually I wanted to ask you something as well, because we are seeing all these cloud players getting hot under the collar about telco. Why are they so excited? What's the buzz about wire, as you're on AWS and Google Cloud, why do they want to have a slice of the pie? >> Well, I think they're hot and heavy on the fact that telco is a ripe opportunity. And it used to be this boring, slow moving glacier. It's almost like global warming now, the icebergs are melting, and it's going to just change. And because of the edge, 5G is not a consumer wireless thing, it's not like a better phone. It's a commercial app opportunity, because it's high bandwidth. We've all been to concerts, or football games, or sporting events where a stadium is packed. Everyone gets bars on their wifi, but can't get out. Can't upload their picture to Instagram. Why? Because it's choking them on the network. That's where 5G solves a problem. It brings a lot of bandwidth, and that's going to bring the edge to life, and that's money. So when you got money, and greed, and power, changing hands, if it's on the table, and the wheel's spinning, it could be double zero, or it could be lucky seven. You don't know! >> Oh, for sure. And that's certainly enough to get all the big players hot and bothered about getting involved! And I suppose it circles back to the fact that DR is really leading the charge, and they're probably thinking, "Okay, what's going on here? This is different. We want something new." You did notice it, OpenRAN is something that we've been talking about over the last day or so. We've had quite a few of us speakers over here at Cloud City Live mention OpenRAN. What is it all about, Don? Because why all the buzz if 5G is such a hot topic? Why are we get excited about it? >> That's a great thing. The 5G certainly will drive the main trend, for sure. OpenRAN is essentially an answer to the fact that 5G is popular, and they need more infrastructure. So open source, the Linux Foundation, has been the driver for most of the open source software. So, they're trying to make open software, and open architectures, to create more entrepreneurial activity around hardware, and around infrastructure, because we need more infrastructure, we need more antennas, we need more transceivers, we need more devices. That could be open. So in order to do that, you got to open up the technology, and you want to minimize the licensing, and minimize a lot of these, you know, proprietary aspects. >> What did we look at? So on Wednesday, we've got a great keynote from Phillip Langlois, who is CEO and founder of P1 Security. And he's coming to talk to us about cybersecurity within the cloud, and within telco. So you just mentioned that OpenRAN is all about having open source, about having that space where we can share more efficiently and easily more easily. What does that mean for security though? Is it at risk? >> I think it's going to increase the value of security, and minimize the threats. Because open source, even though it's open, the more people that are working on it, the more secure it could be. So yes, it could be more open in a sense that could be explored by hackers, but open can also protect. And I think we've seen open source, and cloud in particular, be more secure. Because everyone said, cloud is not secure, open source is insecure. And as it turns out, when the collective hive minds of developers work on things, it gets secure. >> And it is interesting, isn't it? Because we have seen that there has been an uptick in cyber security threats, but actually I was speaking to some leaders across various industries, and particularly in tech, and they were saying, actually, there's not been an uptick in attempted threats, there's been an uptick because with this open-source environment, we are able to track them, and measure them, and defend more efficiently. So actually, they're being batted away. But the number is probably the same as it always was, we just didn't know about them before we had this open source environment. >> There's more money in threats, and there's more surface area. So as the tide rises, so to the threats. So on a net basis, it's more, because there's more volume, but it's pretty much the same. And look it, there's money involved, they are organized. There's a business model on attacking and getting the cash out of your bank, or ransomware is at an all time high. >> Yes! >> So this is like a big problem, and it's beyond the government. It's around individual freedom. So, security is huge. And I think open source and cloud are going to be, I think, the answer to that. >> Yeah, for sure. And it's, again, about collaboration, isn't it? Which we talk about all the time, but without collaboration, the industries are going to have to work together to promote this environment. So yeah, it should be good to talk with Phillip on Wednesday. >> I'd just say on security, don't download that PDF, if you don't know who it came from. The phishing is always good. Well, we got some great stuff coming up. We're going to have a great day. We got a video here of Mobile World Live. We're going to show this next segment, and we're going to toss it to a video. And this is really about to give the experience, Chloe, for people who aren't here. To get a feel for what's going on in Barcelona, and all the action. And if you look at the video, enjoy it. >> Hi, I'm Daniel Royston, CEO and founder of TelcoDR. But you can call me DR! Ready for some more straight talk about telco? It's go time! Let's do it. Holy shit! It sure is a great time to be a tech company! I mean, if you're Amazon, Microsoft, Google, Grab, Twilio, Door Dash, or Uber, life's pretty great! Just look at these stock prices over the past five years, with their shareholder value going up and to the right. Totally amazing! But where's telco? Dare I add our stocks to this awesome chart? Let's compare these fabulous tech stocks to AT&T, Vodafone, Telefonica, TIM, America Movil, and Zain Group. Huh. Not so great, right? Yep. I'm talking directly to you, senior telco execs. I'm here to wake you up! Why is it that Wall Street doesn't see you as tech? Why aren't CSPs seen as driving all the tech change? Why is it always Apple, Amazon and Google who get the big buzz? But more importantly, why isn't it you? Before I came to this industry, I always thought of carriers as tech companies. I gave more of my money to AT&T than to Apple, because I really cared about the quality of the network. But I also wondered why on earth the carriers allowed all the other tech companies to take center stage. After spending the last few years in telco, I now understand why. It's because you are network people, you are not customer people! I get it. You have the security blanket. You're a network oligopoly. It's crazy expensive to build a network, and it's expensive to buy spectrum. It takes operational chops to run a killer network, and it takes great skill to convince Wall Street to finance all of it. You telco execs are amazing at all those things. But because you focus on the network, it means you don't focus on the customer. And so far, you haven't had to. Every Telco's KPI is to be less shitty than their next competitor. You don't have to be the best. Just don't be last. Everyone else's NPS is in the thirties too. Their mobile app ratings are just as terrible as yours. Everyone's sucks at customer sat. And it's widely acknowledged and accepted. Let's talk about the cost of that. The cost is not measured on market share against other MNOs. The cost is measured in lost ARPU that the tech guys are getting. Everyone knows about the loss of texting to WeChat, WhatsApp, and the other OTT apps. But it is not just texting. The total adjustable market, or TAM, of the mobile app disruptors is huge! Instead of remaining network focused, you should be leveraging your network into a premier position. And because you're network people, I bet you think I'm talking about coercive network leverage. That is not what I'm talking about! I'm talking about love, customer love. There is one thing the highly valued tech companies all have in common. They all crush it on customer love! They look at every interaction with the customer and say, how do we make the customer love this? Like Netflix has easy monthly cancellation, Amazon does no questions asked returns, Uber gives users a real time view into driver rating and availability. Compare those ideas to the standard telco customer interaction. The highly valued tech companies don't have the network oligopoly to fall back on like you do. To survive, they must make customers love them. So, they focus on it in a big way! And it pays off. Their NPS is close to 70, and they have app ratings of 4.5 or higher. A far cry from your thirties NPS, and app ratings of 3.5. If you want to have those huge tech multiples for yourself, you have to start thinking about these guys as your new competition, not the other telcos in your market. The crazy thing is, if you give up using your network as a crutch, and put all of your focus on the customer, the network becomes an asset worth more than all the super apps. Let's step back and talk about the value of super apps, and becoming customer centered! Retooling around the customer is a huge change, so let's make sure it's worth it. We aren't talking about 25% improvement. I'm going to show you that if you become customer centric, you can double your ARPU, double your valuation multiples, and drive big shareholder value, just like the tech companies on that chart! Now let's talk about the customer focused super apps. There are hundreds of companies in a variety of categories vying for your subscribers' disposable income. Movies, food delivery, financial services. Who are they? And why does Wall Street give them such high valuations and like them so much? Well first, look at what they are telling Wall Street about their TAM. They broadcast ridiculously huge TAMs that are greater than the telco TAMs. You know, who should have a ridiculously huge TAM? You! Hello? What I'm saying is that if you got what's yours, you double in size. And if you take the TAMs they throw around, you'd be five times as big. When I think about the opportunity to double ARPU, without having to double the cap ex to build out the network, I say to myself, hell yeah! We should totally go do it, and do whatever it takes to go get it. For example, let's talk about Grab. Grab is a Southeast Asian super app company with an expected $40 billion valuation. Grab's customer focus started in Rideshare, but then leveraged its customer love into wallet deliveries, hospitality, and investing. Their ARPU is now larger than a Telco's ARPU in countries where they compete, and they have a higher valuation than those telcos too. Imagine if you could combine a great user experience with the valuable services that helped grow your ARPU. That would be huge! So, how do you build a super app? I bet right about now, you're wishing you had a super app. Everyone wants a super app! A lot of money has been unsuccessfully spent by telcos trying to build their own. I bet you're saying to yourself, "DR, your pie in the sky sounds great, but it has no chance of success." Well, I'm betting things are about to change. There is a public cloud startup called to Totogi that is going to help carriers build world-class super apps. To have a successful super app, there is one key metric you need to know. It is the KPI that determines if your super app will be a success or a flop. It's not about the daily active users. It's not the average order value. It's not even gross merchandise value. It's all about the frequency of use per day by the user. That's the metric that matters. How many have you used that metric in your telco apps? Do you have a team driving up user app interactions every day? Most telco apps are used for top-up, or to check a bill. This is a huge missed opportunity. Super app companies excel at building great experiences and driving a huge amount of interactions. They have to, their business depends on it. They have to be customer focused. They have to keep bringing the user back to the app, every day, multiple times a day. And you know what? They do a great job. Customers love their super apps. They have great user experiences. Like Apple credit cards, no information required application process. They have high net promoter scores because of customer friendly policies. Like how Door Dash retroactively credits fees when you move to a better plan. And they have great app store ratings, because they do simple things, like remember your last order, or allow you to use the app, rather than forced you to call customer service. Customers of successful super apps love it when new services are added. And because of the customer love, every time something is added to the app, customers adopt it immediately. New services drive frequent daily user interactions. So our problem in telco is we have an app that is only open once per month, not multiple times per day. And without frequent opens, there is no super app. Hm, what do we have in telco that we could use to help with this problem? I wonder. While you don't currently have a mobile app that subscribers use multiple times a day, you have something that's 10 times better! You have a network. Subscribers already interact with your network. 10 times more frequently than any user with any of the super apps. But telcos don't leverage those interactions into the insanely valuable engagements they could be. Worse, even if you wanted to, your crappy, over customized, on-premise solutions, make it impossible. Thankfully, there's this new tech that's come around, you may have heard of it, the public cloud. When you bring the enabling technology of the public cloud, you can turn your network interactions into valuable super app interactions. And there's a special new startup that's going to help you do it, Totogi! Totogi will leverage all those network interactions, and turn them into valuable customer interactions. Let me repeat that. Totogi will leverage all those network interactions, and turn them into valuable customer interactions. Totogi allows the carrier to leverage its network, and all the network interactions, into customer engagement. This is something that super apps don't have, but will wish they did. But this magic technology is not enough. Telcos also need to move from being network focused to being customer focused. Totogi enables telcos to chase exciting revenue growth without that annoying, massive cap ex investment. Totogi is going to help you transform your sucky mobile apps, with the crappy customer ratings, into something your subscribers want to open multiple times a day, and become a platform for growth. I'm so excited about Totogi, I'm investing $100,000,000 into it. You heard me right. $100,000,000. Is this what it feels like to be SoftBank? I'm investing into Totogi because it's going to enable telcos to leverage their network interactions into super app usage! Which will lead to an improved subscriber experience, and will give you a massive jump in your ARPU. And once you do that, all those telco valuations will go from down here, (buzzes lips) to up here. And so I've been talking to some folks, you know, checking in, feeling them out, getting their thoughts. And I've been asking them, what do you think about telcos building super apps? And the response has been, "Click. Eh." Everyone says, no way. Telcos can't do it. Zero chance. Total goose egg. (egg cracking) One suggested I build a bonfire with a hundred million dollars, because then at least I wouldn't waste years of my life. Well, I think those people are dead wrong! I do believe that telcos can build super apps and make them super successful. The public cloud is changing all parts of telco, and Totogi and super apps are fundamentally changing the customer relationships. In one month at MWC, people will see what Totogi has to offer, and they will understand why I'm making this bold call. Because Totogi takes the value of the network, and the power of the public cloud, to help telcos move from being network centric, to being customer centric. Boom! If you want to make this transformation and reap all the financial benefits, you will have to compete for customers with a whole new set of players. You will no longer compete with the network focused guys, like the other telcos. Instead, you will be competing against the customer focused companies. These players don't have a network to fall back on like your old competitors, they know they have to make customers love them. Their customer loyalty is so off the charts, their customers are called fans. So if you want that big money, you will have to compete on their turf, and make the customers want to choose you. You need Apple level loyalty. That bar is uber high. We'll have to give up the security blanket of the network, and change. Instead of NPS at the thirties, it needs to be in the seventies. Instead of mobile app ratings in the threes, they need to get five stars. I'm betting big that Totogi will make that possible! I'm going to help you every step of the way, starting with my keynote next month at MWC. Join me, and I'll share the secrets to converting your super valuable network interactions to make your super app a massive success. We're going to have an amazing time, and I can't wait to see you there! >> Okay. We're back here in theCUBE here at Mobile World Congress in Cloud City. I'm John Furrier. Chloe Richardson's filling in for Dave Vellante who's out on assignment. He's out getting all the data out there and getting stories. Chloe, what a great keynote by Danielle Royston. We just heard her involving major action, major pump you up, punch in the face, "Wake the heck up cloud people, cloud is here!" She didn't pull any punches. >> No, I mean the thing is, John, there's trillions of dollars on the table, and everyone seems to be fighting for it. >> And you heard her up there, if you're not on the public cloud, you're not going to get access to that money. It's a free for all. And I think the cloud people are like, they might think they're going to walk right in, and the telco industry is going to just give it up. >> No, of course. >> And it's not going to be, it's going to be a fight! Who will win? >> Who will win, but also who will build the next big thing? (John laughing) >> Someone needs to die in the media conversations. It's always a fight. Something's dead. Something's dead but keeps the living. All that kidding aside, this is really about partnering. Think what's happened is Telco's already acknowledged that they need to change. And the 5G edge conversation, the chip acceleration. Look at Apple. They've got their own processors, Nvidia, Amazon makes their own chips, Intel's pumping stuff out, you've got Qualcomm. You've got all these new things. So, the chips are getting faster, and the software's more open source. And I'm telling you, the cloud is just going to drive that bus right down Cloud Street, and it's going to be in Cloud City everywhere. >> And it's going to be peepin' on the board as it drives down. (John laughing) John, I'm not a stalker, but I have read some of the things that you've written, and one of the things you mentioned that was really interesting was the difference between building and operating. Break it down for me, what does that mean? >> That means basically in mature markets, and growing markets, things behave differently, and certainly economics, and the people, and the makeup, and the mindset. So the telco has been kind of this mature market, it's been changing and growing, but not like radically. Cost optimization, make profit. You know, to install a lot of cable, you got to get the rents out of that infrastructure. And that's kind of gone on for too long. Cloud is a growth market. And it's about building, not just operating. And you've got operators, carriers are operating networks. So you're going to see the convergence of operators and builders coming together. Builders being software developers, new technology, and executives that think about building. And you want people on your team that are going to be, I won't say war time, you know, lieutenants or generals, but people who can handle the pace of change. Because the change and the nature is different. And some people want slow and steady, keep the boat from rocking. But in a growth market, it's turbulent, and the ride might not be quiet, first-class ticket to paradise. It's bumpy, but it's thrilling. >> No, of course. Is it similar to the old sales adage of hunter versus farmer? Are there parallels there? >> Yeah. I mean, there's a mindset. If you have a team of people that aren't knocking down new opportunities and building the next big thing, fixing your house, get your house in order, you know, refactor, reset, reboot, replatform with the cloud, and then refactor your business! If you don't have the people thinking like that, you're probably either going to be taken over, or go out of business. And that's what the telcos with all these assets, they're going to get bought, rolled into a SPAC, Special Purpose Acquisition Company, which is super hot in the United States. A lot of roll-ups going on with private equity. So a lot of these telcos, if they don't refactor, or replatform then refactor, they're going to be toast, and they're going to get rolled up, and eaten up by somebody else. >> Yeah, sure. It's interesting though, isn't it? Because when we think of telco in tech, we often think of, obviously we've got the triad, people, process, technology, and we think, process and technology really to the forefront here. But like you said there, people are also so important because if you don't have this right balance, you're not going to be able to drive that change. We had, obviously, Scott Brighton on the stage yesterday, and after his session, somebody came up to me and just said, "I'm interested to hear what that means for education." So how can we establish this new generation of tech and telco leaders from the grassroots with educational associations, establishments. How can we encourage that? I wonder, is this something that you talk about? >> Yeah. I mean, education's huge, and this highlights the change that telco's now part of. Telco used to be a boring industry that ran the networks, or moving packets around, and mobile was there. But once the iPhone came out in 2007, the life has changed, society has changed, education's changed, how people interact has changed. So, you start to see people now aware of the value. And if you look at during COVID, the internet didn't crash, the telcos actually saved our asses, and everyone survived because the network didn't break. Yeah, we had some bad Zoom meetings here and there, and some teleconferences that didn't go well, but for the most part we survived, and they really saved everybody. So, they should get kudos for that. But now they're dependent upon healthcare, education. People care about that stuff, so now you're going to start to see an elevated focus on what telecom is doing. That's why the edge has got trillions of dollars up for grabs. But education, there's negative unemployment in cybersecurity and in cloud. So for the people who say, "Oh, there's no jobs." Or, "I can't work." That's a bunch of BS, because you can just get online, get on YouTube, and just get a degree. You can get a degree. You can get an Amazon job. It pays a hundred thousand dollars a year! American. You can make a hundred thousand pounds, and be unemployed six months, and then be employed. So negative unemployment means, there's more jobs than people to fill them all, in fact. >> Yeah, it's interesting you mentioned that, because I was talking to a cyber security leader who was saying in something, I think there were now 3 million vacancies in cybersecurity. And there's such a skill shortage. There is nobody around to fill it! So it's an interesting problem to have, isn't it? Because it's reversed to what we've been used to for the last few decades! And obviously, telco is in the same space. But what can we do about it do you think, to actually -- >> I think it's going to take leadership, and I'm a big proponent of kids not going to university if they don't have to. Why spend the dough, money, if you don't have to? You can get online. I mean, the data's there. But to me, it's the relationships, the mentorship. You're starting to see a women in tech, and underrepresented minorities in the tech field, where mentorship is more important than curriculum. Community is more important than just going through a linear courseware. Nobody wants to sit online and go through linear courseware. Now, if they have to get a certificate, or degree, and accreditation, no problem. But the communities are out there, so that's a big change over, I'm a big fan of that. And I think people should, you know, get some specialized skills. You can get that online, so why even go to school? So, people are figuring that out. >> For sure. And also, even transferring. I mean, so many skills are transferable nowadays, aren't they, so we could easily be talking to people from other industries, and bringing them into telco, and saying, "Look, bring what you know from your retail background, or your healthcare background, and help us at telco to, again, drive forwards." Just like DR was saying, it's all about the next big thing. >> Well, Danielle is always also driving a lot of change. And if you think about the jobs, and the pedigree of going to a university, oh, Harvard, all the big Ivy Leagues, Oxford in your area. So it's like, if you go to the school like that, and you get a pedigree, you instantly get a job. Now the jobs that are available weren't around five years ago, so there's no like pedigree or track record. There's no like, everyone's equal. >> Yeah. >> So you could, the democratization of the internet now, from a job standpoint, is people are leveling up faster. So it's not about the Ivy League, or the big degree, or silver spoon in your mouth, you've got the entitlement. So you start to see people emerging and making things happen. Entrepreneurship in America, immigrant entrepreneurship. People are billionaires that have no high school diplomas! >> It's interesting you mention that, John, because we can't have more than five years experience in this space, we know that. But in telco, there is a problem. And maybe it's, again, it's a flipped problem where telco recruiters, or talent acquisition leaders, are now asking for kind of 10, 20 years experience when they're sending out job descriptions. So does that mean that we are at fault for not being able to fill all these vacancies? >> I think that's just, I mean I think there's a transition of the new skill set happening, one. But two, I think, you know, to be like a chip engineer, (laughs) you can't learn that online. But if you want to run a cloud infrastructure, you can. But I think embedded systems is an area that I was talking to an engineer, there's a huge shortage of engineers who code on the microprocessors, on the chips. So, embedded systems is a big career. So there's definitely paths you can specialize. Space is another area you've seen a lot of activity on. You see Jeff Bezos and Elon Musk is going to be here on a virtual keynote, trying to go to Mars. And you know, Danielle Royston always says, "What's going to happen first, Mars colony, or telco adopting public cloud?" And some people think Mars will happen first, but. >> What do you think, John? >> I think Telco's going to get cloud. I mean first of all, public cloud is now hybrid cloud, and the edge, this whole internet edge, 5G, is so symbolic and so important, because it's an architectural beachhead. And that's where the trillion dollar baby is. So, the inside baseball, and the inside money, and all the investors are focusing on the edge, because whoever can command the edge, wins all the dollars. So everyone kind of knows, it's a public secret, and it's fun to watch everyone jockey for the positions. >> Yeah no, it really is. But it's also quite funny, isn't it? Because the edge is almost where we were decades ago, but we're putting the control back in the hands of consumers. So, it's an interesting flip. And I wonder if, with the edge, we can really enhance this acceleration of product development, this efficiency, this frictionless system in which we live in. And also, I've heard you say hybrid a few times, John. >> John: Yeah. >> Is hybrid going to be the future of the world no matter what industry you're in? >> Hybrid is everything now. So, we're the hybrid CUBE, we've got hybrid cloud. >> Exactly. >> You got hybrid telco, because now you've got the confluence of online and offline coming together. That is critical dynamic! And you're seeing it. Like virtual reality, for instance, now you're seeing things, I know you guys are doing some great work at your company around creating experiences that are virtual. You got, companies like Roblox went public recently. Metaverse. It's a good time to be in that business, because experiential human relations are coming. So, I think that's going to be powered by 5G. You know, gamers. So, all good stuff. Chloe, great to be with you here on theCUBE, and we're looking forward to seeing your main stage. >> Great. >> And then we're going to send it back to the studio, Adam, and the team. We're waiting for DR to arrive here in Cloud City. And this is theCUBE, from Cloud City, back to you, Adam, and the studio.

>> Live from Orlando, Florida. It's theCUBE, covering Cisco Live 2018. Brought to you by Cisco, NetApp, and theCUBE's ecosystem partners. >> Welcome back I'm Stu Miniman. And this is theCUBE's coverage of Cisco Live 2018 Orlando. Getting to the end of two days of three days of wall to wall coverage, happy to welcome to the program Wayne Ogozaly who's a cloud architect with Cisco. From my neck of the woods up in New England. Thanks so much for joining us down here. >> Pleasure to be here. It's getting towards the end of the day which means thundershowers will probably hit for an hour or so. >> Exactly, exactly, it's sunny in the morning and I brought an umbrella, who knew. >> Absolutely, so Wayne you've been with Cisco for a few years Why don't you give us a little bit about your background before we get into it. >> Sure, I started out with Cisco as an engineer. Actually before Cisco, a rocket scientist at Raytheon Company, so I had all sorts of fun before I got hooked on the internet stuff. So I've been a data center architect, spent quite a few years in the media area providing mogul applications, as well as some of the content development side of the media part of Cisco And now I'm into service provider markets which is fantastic >> So before we get into service providers give us your impression of the show this year It'd been a few years since I've come and it's changed quite a bit you know. Big crowd here, we're in the DevNet zone definitely some of the buzz of the show here. What's your impression of the show so far? >> I feel a huge amount of energy. I deal with service providers and we've had so many service providers come by our booth. There's a huge amount of excitement about bringing new managed services to market. DNA Center launch was huge for us. We're showing live demonstrations of that at our booth as well, and I feel like it's almost at a tipping point, where we're going to be talking about software defined networking and NFV. It's been a long time coming but now we're actually kind of crossing the chasm hopefully where we'll be sharing with you some pretty big announcements very soon on large customers deploying those exact services at massive scale. >> Yeah, so we love talking about service providers, we're talking to service providers on theCUBE because when you talk about scale, when you talk about pace of change, when you talk about pressures of financials. Well there's very few places where they all come together for the service providers. Why don't tell us about the product solution set that you're working on and what the news is here. >> Sounds great So I'm part of the Managed Services Accelerator group that has developed a new cloud product. It's been around for a couple years. We've had some major deployments namely at Verizon and Vodafone and a couple other tier ones. A couple huge announcements coming out very shortly. But Managed Services Accelerator allows service providers to deploy many different services across a multi-tenant platform that runs exclusively in the cloud. So we'll talk about what cloud native means what some of the services are. But we're able to bring services to market much more quickly than you were ever able to do in the past. We're able to go from service creation to actual service deployment in literally weeks As some of our major SP's, and those services span a wide range of opportunities, like deploying Meraki or deploying Viptela SD-WAN, or deploying a managed routed service Or even deploying DNA center for a managed SD access. So it's a broad spectrum of services that we can help service providers bring to market very quickly. >> Yeah I love that 'cause if you look at the service providers the applications are so critically important. >> It all starts with the app. If you don't have a compelling app nobody wants to buy it. >> Look the public cloud players are adding new application and new services on practically a daily clip these days. And service providers, many of them partnering with the public cloud but there's still lots of things that they need to do themselves, locally or in certain verticals. So give us some insight, what are some of the things your customers are looking for. How do they keep up with that pace of change and how does this offering help them do that? >> So the cool thing about MSX, or Managed Services Accelerator is it provides a service provider platform for multi tenancy, many different customers in one platform many different services from both Cisco and third party vendors, and those services span both physical devices, traditional ISRs, ASRs, third-party Juniper boxes, whatever, as well as VNFs, virtual network functions. That run in a public cloud like AWS or in your private data center, as a service provider or, in a universal CPE, or a virtual branch or for our Cisco folks, ENCS, Enterprise Network Compute System. It's a virtual branch x86, where we can run service chains down there, we provide a wide range of services that provide the ability to configure and deploy multiple services toward a single customer all from one place. Some of the challenges that our service providers have, is that they have many different service offers but each of those service offers is in its own silo. And every time they want to bring a new service to market, they have to spend many millions of dollars trying to integrate whether they're northbound OSS or BSS system. Or integrate with a new set of vendors. We, from a singe cloud platform allow them a single platform to integrate many different services from one place in a beautiful sort of cloud managed way. >> There's a large portfolio that customers need to sort out. One of the areas we're hearing a lot of discussion about has been the SD-WAN, how does that fit into this whole discussion? >> The SD-WAN service is one of our most popular services. It's being deployed at scale at Vodafone and Verizon. The Viptela acquisition for Cisco Cisco SD-WAN, now that it's named, has been very popular in that it allows customers, enterprises to have a choice of NPLS, internet, or even 4G or soon to be 5G backbone networks that they can run the traffic of their choice across. Enterprises want SD-WAN not just for the ability to choose policies and map applications to certain overlays or tunnels. But they're also using it to lower their cost significantly. So they can, from the cloud, kind of like a Meraki cloud. Manage many different devices with a single click of a button, I can push a new policy down in a software defined way to a hundred different devices and maybe move Netflix that might have been running on an NPLS circuit, to a internet access circuit with the click of a button. That's the power that SD-WAN provides and it provides enterprises that capability natively. Service providers offer it as a managed service, enterprises can log into our MSX platform and be able to control the traffic that they want and steer it with clicks of buttons, not large amounts of configurations. >> Wayne you've mentioned a couple of very large customers that are using this, is this something that is geared for the top 20 large service providers or will it hit hundreds, thousands of services providers around the globe? >> It's really both, it's targeted, and I can say that because architecturally it's a cloud-native platform. It's built with Docker containers, Kubernetes microservice framework, when Google, it's built on a similar architecture of Google. So when Google's rolling out 1,500 services a year, the MSX platform's goal is to get more than 100 services a year rolled out in this platform. So the service creation portion of it allows large service providers, like Verizon or Vodafone or many others to be able to offer those services more efficiently from the cloud and manage them. But the smaller guys, are also able to tap into these services because we offer a kind of a pay as you grow model. We offer a one year of three year term license to purchase the product which is very small And then there's like a little three to five dollar a month management fee for every device you have under management. So there's a very low cost of entry that you're able to tap into this powerful cloud management platform and offer any sort of service that you want for both large service providers as well as small service providers. >> You touched on some of the pricing there. How does that work today, do you look and feel like you know most cloud models today, really more of a Opex and a Capex? >> It's a tremendous opex savings. This is really an opex play when we look at it from a service provider perspective. Service providers are challenged today because they're trying to offer many different services but each service is a unique silo. And they've got to integrate a wide range of different pieces of that silo for every new service. So in a multi-tenant environment I need to have billing, I need to have northbound OSS BSS integration, I need to have a consistent user interface, I need to have notifications, I need to have tenancy, user roles, single sign on. Do I really want to integrate that uniquely for every new service or do I want to have Managed Services Accelerator manage all of that for me and then the service provider can focus more on the service. So it's an opex play to allow them to not only bring new services to market more quickly, but once they're brought to market through both REST APIs and our Network Services Orchestrator configure them very rapidly. >> Wanna step back for a second. When we look at this whole kinda cloud discussion for a while, you know there was discussion of like oh well maybe, how much is really going to go to the public cloud or fighting the public cloud and the service providers were caught being pulled from the old world in the new world. I don't think we've really hit equilibrium yet but service providers really understand and the message that I've heard from Cisco this week and really for the last year or so has been that hybrid multi cloud world is where we live. It's not going to be an answer. We always know everything's an additive in IT and nothing really ever dies. What do you hear from your service provider partners you know, how are they feeling, what do they think about, the changing dynamic of this world? >> Like John Chambers used to say, "We need to deal with the world the way it is "and not the way we'd wish it to be." Service providers realize that it is a multi cloud environment. They need to be able to accommodate different services and different service models based on what their customers are looking for. They also need to be able to achieve operational efficiency when they're rolling out those services to be able to make it commercially viable. So what we're hearing from our service providers is that they want a multi service environment that MSX, or Managed Services Accelerator, provides them where they can manage maybe deploying a device in AWS, to front end and application space for a particular tenant and then connect that device. Whether it be a Meraki virtual managed device or a Viptela vEdge device, to an SD-WAN that's connected to rest of their enterprises And then when they walk out of one of their branch devices and they get on their mobile network we can enable through Cisco, the connection between 5G slicing and a SD-WAN service so that the service that they get on their phone and the policies that are applied on their phone are identical to those that they've worked so hard to deploy actually in their branches, in their headquarters, in their campuses, or in the cloud. It is a multi-cloud environment. Almost every single application domain spans all of those components. MSX, or Managed Services Accelerator, allows you to kind of centrally manage all of those functions from one place. >> Okay, so Wayne MSX, new branding, some new features some new customers, give us a little bit of what we can expect to see through the rest of this year with this solution. >> You're going to see some pretty big announcements of some new service providers doing some new services with MSX. Those new services include the deployment of new SD-WAN networks, very exciting on our virtual branch platform where our ENCS, or X86 based branch will be rolled out at large scale with a couple service providers. Where you can decide what VNFs you want to put on there. What service chains they represent and how you want to monetize them. Been talking about universal CPs for a long time, this is the year it's going to happen at scale using MSX and ENCS, and then you're going to see managed devices cloud connect to AWS and wide range of other services including Meraki and others that build out the portfolio. But bottom line with MSX is, we know our service providers want a diversity of services. It's a service creation platform. We expect service providers to bring their service to the table, we can accommodate it, monetize it, bring it to market very rapidly. And I would expect to hear a wide range of wonderful announcements from Cisco and the MSX team in the next few months. >> Alright well Wayne really appreciate you bringing this service provider angle to us. We're at the end of two days of three days of live coverage covering all the angles from Cisco Live 2018 here in Orlando, be sure to check out theCUBE.net for all the replays as well as all the shows that we will be at in the future. For Stu Miniman and my co-host John Furrier, thanks so much for watching theCUBE. (gentle music)