(cheery music) >> Thanks, Adam. Thanks for everyone in the studio. Dave, we've got some great main stage CUBE interviews. Normally we'll sit at the desk, and do a remote, but since it's a virtual event, and a physical event, it's a hybrid event. We've got two amazing Google leaders to talk with us. I had a chance to sit down with Amol who was gone yesterday during our breaking news segment. They had the big news. We had two great guests, Amol Phadke. He's our first interview. He's the head of Google's telecom industry. Again, he came in, broke into our segment yesterday with breaking news. Obviously released with Ericsson, and the O-RAN Alliance. I had a great chance to chat with him. A wide ranging conversation for 13 minutes. Enjoy my interview with Amol, right now. (cheery music) Well welcome to the CUBE's coverage for Mobile World Congress, 2021. I'm John Furrier, your host of the CUBE. We're here in person as well as remote. It's a hybrid event. We're on the ground at Mobile World Congress, bringing all the action here. We're remote with Amol Phadke, who's the Managing Director of the Telecom Industry Solutions team at Google Cloud, a big leader, and driving a lot of the change. Amol, thank you for coming on theCUBE here in the hybrid event from Mobile World Congress. >> Thank you, John. Thank you, John. Thank you for having me, So, hybrid event, which means it's in person, we're on the floor, as well as doing remote interviews and people are virtual. This is the new normal. Kind of highlights where we are in this telecom world, because the last time, Mobile World Congress actually had a physical event was winter of 2019. A ton has changed in the industry. Look at the momentum at the Edge. Hybrid cloud is now standard. Multi-cloud is being set up as we speak. This is all now the new normal, what is your take? And so it's pretty active in your industry. Tell us your opinion. >> Yes, John I mean the last two years have been seismic to say the least, right? I mean, in terms of the change that the CSP industries had had to do. You know, John, in the last two years, the importance of a CSP infrastructure has never become so important, right? The infrastructure is paramount. I'm talking to you remotely over the CSP infrastructure right now, and everything that we are doing in the last two years, whether it's working, or studying, or entertaining ourselves, all on that CSP infrastructure. So from that perspective, they are really becoming a critical national global information fabric on which the society is actually depending on. And that we see at Google as well, in the sense that we have seen up to 60% increase in demand, John, in the last two years, for that infrastructure. And then when we look at the industry itself, unfortunately all of that huge demand is not translating into revenue, because as an industry, the revenue is still flat-lining. In fact, the forecasted revenue for globally, for all the industry over the next 12 months is three to five per cent negative on revenue, right? So one starts to think, how come there is so much demand over the last two years, post-pandemic, and that's not translating to revenue? Having said that, the other thing that's happening is this demand is driving significant CapEx and OPEX investments in the infrastructure, as much as eight to $900 billion over the next decade is going to get spent in this infrastructure, from our perspective, Which means it's really a perfect storm. John, We have massive demand, massive need to invest to meet that demand, yet not translating to revenue, and the crux of all this is customer experience, because ultimately all of that translates into not having that kind of radically disruptive or transformational customer experience, right? So that's a backdrop that we find ourselves in the industry, and that really sets the stage for us to look at these challenges in terms of how does the CSP industry as a whole, grow top line, radically transform CSPCO, at the same time, reinventing the customer experience and finding those capital efficiencies. It's almost an impossible problem to find solution. >> It's a perfect storm. The waves are kind of coming together to form one big wave. You mentioned CapEx and OPEX. That's obviously changing the investments of their post-pandemic growth, and change in user behavior and expectations. The modern applications are being built on top of the infrastructure, that's changing. All of this is being driven by Cloud Native, and that's clear. You're seeing a lot more open kind of approaches, IT and OT coming together, whatever you want to do, this is just, it's a collision, right? It's a collision of many things. And this positive innovation coming out of it. So I have to ask you, what are you seeing as a solution that are showing the most promise for these telco industry leaders, because they're digitally transforming, so they got to re-factor their platforms while enabling innovation, which is a key growth for the revenue. >> Yes. So John, from a solution standpoint, what we actually did first and foremost as Google Cloud, was look at ourselves. So just like the transformation we just talked about in the CSP industry, we are seeing Google being transformed over the last two decades or so, right. And it's important to understand that there's a lot Google data over the last two decades that we can actually not externalize all of that innovation, all of that open source, all of that multicloud, was originally built for all the Google applications that all of us use daily, whether it's YouTube, or email or maps, you know. Same infrastructure, same open source, same multicloud. And we decided to sort of use the same paradigm to build the telecom solutions that I'm going to talk about next, right. So that's important to bear in mind, that those assets were there, and we wanted to externalize those assets, right. There are really four big solutions that are resonating really well with our CSP partners, John. You know, number one to your point, is how can they monetize the Edge? All of this happens at the Edge. All of this gets converged at the Edge. We believe with 5G acting as the brilliant catalyst to really drive this Edge deployment. CSPs would be in a very strong position, partnering with Cloud players like ourselves to drive growth, not just for their top line, but also to add value to the actual end enterprises that are seeking to use that Edge. Let me give you a couple of examples. We've been working with industries like retail and manufacturing, to create end solutions in a post-pandemic world. Solutions like contact-less shopping, or visual inspection of an assembly line in a manufacturing plant, without the need for having a human there, because of the digitalization of workforce. Which meant these kinds of solutions, can actually work well at the Edge driven by 5G. But of course they can't be done in isolation. So what we do is we partner with CSPs. We bring our set of solutions, and we actually launch in December 30 partners that are already on our Google Cloud Solutions. And then we partner with the CSPs based on our infrastructure, and their infrastructure to ultimately bring this all to life at the end customer, which often tends to be an enterprise, whether it's a manufacturing, plant, or a retail chain. >> Yeah, you guys got some great examples there. I love that Edge story. I think it's huge. I think it's only going to get bigger. I got to ask you while I got you here, because again, you're in the industry, you're the managing director, so you have to oversee this whole telecom industry. But it's bigger, it's beyond Telecom, where it's now Telecom's just one other Edge network, piece of the pie of the surety computing, as we say. So I got to ask you, one of the big things that Google brings to the table is the developer mojo, and opensource, and scale obviously. Scale's unprecedented, everyone knows that. But ecosystems are super important, and Telco's kind of really aren't good at that, right? So, you know, the Telco ecosystem was, I mean, okay, I'd say, okay, but mostly driven by carriers and moving bits from point A to point B. But now you've got a developer mindset, public cloud, developer ecosystem. How is this changing the landscape of the CSPs and how is it changing this cloud service provider's ability to execute, because that's the key in this new world? What's your opinion? >> Absolutely, John. So, there are two things, there are two dimensions to look at. One is when we came to market a couple of years ago with AnToks, we recognized exactly what you said, John, which is the world is moving to multi-cloud, hybrid cloud. We needed to provide a common platform that the developer community can utilize through microservices and API. And that platform had to by definition, work not just from Google Cloud, but any cloud. It could work on any public cloud, can work on CSP's private cloud. And of course, supports on some Google Cloud, right? The reason was, once you deploy and cause, once as a seamless application development platform, you could put all kinds of developer apps on top. So I just talked about 5G Edge John, a minute ago, those apps can sit on Antoks, but at the same time, IT to your point, John, IT apps could also sit on the same AnToks paradigm, and network apps. So as networks start becoming Cloud Native, whether it's SRAN, whether it's O-Ran, whether it's 5G core, same principle. And that's why we believe when we partner with CSPs, we are saying, "Hey, you give this AnToks to an ecosystem of community, whether that community is network, whether that community is IT, whether the communities Edge apps, all of those can reside seamlessly on this sort of AnToks fabric, John. >> Yeah, and that's going to set the table for multicloud, which is basically cloud words for multi-vendor, multi app. Amol, I've got to ask you while I have you here, first of all, thank you for coming on and sharing your insights. It's really great industry perspective. And obviously Google Cloud's got huge scale, and great leadership. And again, you know, the big, cloud players are moving in and helping out, and enabling a lot of value. I got to ask you, if you don't mind sharing, if someone asked you, "Amol, tell me about the impact that public cloud is having on the Telco industry." What would you say? What's the answer to that? Because a lot of people are like, okay, public cloud, I get it. I know what it looks like, but now everyone's knows it's going hybrid. So everyone will ask you the question, "What is public cloud doing for the telecom sector?" >> Yeah, I think it's doing three things, John, and great question by the way. Number one, we are actually providing unprecedented amount of insights on data that the CSPs traditionally already had, but have never looked at it from the angle we have looked at it. Whether that insights are at the network layer, whether those insights are to personalize customer experiences on the front-end systems. Or whether those insights are to drive care solutions in contact centers, and so on, and so forth. So it's a massive uplift of customer experience that we can help with, right. So that's a very important point, because we do have a significant amount of leadership, John at Google Cloud on analytics and data and insights, right? So, and we offer those roads to these people. Number two, is really what I talked about, which is helping them build an ecosystem, because let's take retail as an example. As a minimum, there are five constituents in that ecosystem, John. There is a CSP, there is Google Cloud, there's an actual retail store. There is a hardware supplier, there's a software developer. All of them as a minimum, have to work together to build that ecosystem, which is where we give those solutions, right? So that's the second part. And then the third part is, as they move towards Cloud Native, we are really helping them change their business model to become a DevOps, a Cloud Native mindset, not just a Cloud Native network or IP. But a Cloud Native mindset that creates unparalleled agility and flexibility in how they work as a business. So those are the three things I would say, as a response to that question. >> And also the retail's a great vertical for Google to go in there, given the Amazon fear out there. People want this for certainly low hanging fruit. I think the DevOps piece is going to be a big, winning opportunity to see how the developers get driven into the landscape. I think that's a huge point. Amol, that's really great insight. A final question for you, while I got you here. If someone says, "Hey, what's happened in the industry since 2019?" Last time we had Mobile World Congress, they were talking speeds and feeds. Now the world has changed. We're coming out of the pandemic. California is opening up. There's going to be a physical event. The world's going hybrid, certainly on the event, and certainly cloud. What's different in the telecom industry, from, you know, many, many months ago, over a year and a half ago, from 2019? >> I would say primarily, it's the adoption of digital everywhere, which previously, you know, there were all these inhibitions and oh, would this work? Would my customer systems become fully digital? Would I be able to offer AR VR experiences? Ah, that's a futuristic thing, you know. And suddenly the pandemic has created this acceleration that says, "Oh, even post-pandemic, half my customers are always going to talk to me, via our digital channel only." Which means the way they experience us, has to be through these new experiences whether it's AR VR, whether it's some other thing or applications. So that has been accelerated John, and the CSPs have therefore really started to go to the application, and to the services. Which is why you are seeing less on, you know, speeds and feeds because 5G is here, 5G's been deployed. Now, how do we monetize 5G? How can we leverage that biggest number? So that's the biggest- >> There's down stack, and then there's a top of the stack for applications. And certainly there's a lot of assets in the telecom landscape, a lot of value, a lot of refactoring going on, and new opportunities that are out there. Great, great conversation. Well, thank you, Amol Phadka, Managing Director, Telecom Industry Solutions. Thanks for comin' on the CUBE, appreciate it. >> Thank you, John. Thank you having me. >> Okay, Mobile World Congress here, in person, and hybrid, and remote. I'm John Furrier, host of theCUBE. Thank you for watching. We are here in person at the Cloud City Expo Community Area. Thanks for watching. Okay, that was us. That was me, online. Now, I'm here in person, as you can see Dave. That's a lot of fun. I love doing those interviews. So we had a chance to grab Google's top people when we could. They're not here, obviously. Amazon Web Services, Microsoft, and Google, the three hyperscalers, Dave, didn't make it out here. They didn't have a booth, but we had a chance to grab them. And that was head of the industry marketing, and I mean the industry group. So he's like the managing door. He runs the business side. >> It's an important sector for Google. You know, Amazon was really first, with that push into telco. Thomas Curran last March, laid out Google strategy for Telco. It's a huge sector. They know it. They understand how the cloud can disrupt it, and play a massive role there. >> Yeah. >> And Google, of course. >> They're not going to object to the public cloud narrative that Danielle Royston- >> No. >> I think they like it open source, Android coming to telco. Who knows what it's going to look like? >> That's what we call digital- >> So the next interview I did was with Shailesh Shukla. He is the Senior Vice-president. He's the Senior Leader at Google Cloud for Networking. And if you know, Google, Dave, Google's networking is really well known in the industry for being really awesome, because they power obviously Google Search, and a variety of other things. They pioneered the concept of SRE, Site Reliability Engineer, which is now a de facto position for DevOps, which is a cloud now persona inside almost every company, and certainly a very important position. And so- >> Probably the biggest global network, right? Undersea cables, and- >> I mean, Microsoft's got a big hyper-scale, because they've had MSN, and bunch of other stuff, infrastructure globally. But Amazon, Google and Microsoft all have massive scale, and Google again, very well engineered. They're total, and they're as we know, I live in Palo Alto, so I can attest that they're very strong. So this next interview is really from a networking perspective, because as infrastructure, as code gets more prolific and more penetrated, it's going to be programmable. And that's really going to be a key new enabler. So let's hear from Shailesh, Head of Networking at Google Cloud, and my interview with him. (cheery music) Welcome to theCUBE's coverage of Mobile World Congress, 2021. We are here in person in Barcelona, as well as remote. It's a hybrid event. You're going to have the physical space, in Barcelona for the first time, since 2019, and virtual worlds connecting. I've got a great guest here from Google, Shailesh Shukla, Vice-president and General Manager of the Networking Team, Google Cloud. Shailesh, it's great to see you. Thank you for coming on theCUBE for the special presentation from Mobile World Congress. Obviously, the Edge networking core, Edge human devices, all coming together. Thanks for coming on. >> Thank you so much, John. It's great to see you again. And it's always a pleasure talking to theCUBE. And I want to say hello to everybody, from, you know, in Mobile World Congress. >> Yeah, and people don't know your background. You have a great history in networking. You've been there, many ways of innovation. You've been part of directly, big companies that were now known. Big names are all there. But now we haven't had a Mobile World Congress, since 2019. Think about that. That's, you know, many months, 20 something months gone by, since the world has changed in telco. I got to ask you, what is the disruption happening? Because think about that. Since 2019, a lot's changed in telco. Cloud-scale has happened. You've got the Edge developing. It's IT like now. What's your take? Shailesh, tell us. >> Yeah, John, as you correctly pointed out the last 18 months have been very difficult. And you know, I'll acknowledge that right up front, for a number of people around the world. I empathize with that. Now in the telecom, and kind of the broader Edge world, I would say that the last 18, 24 months have actually been transformative. O-RAN, it turns out was a very interesting sort of, you know, driver of completely new ways of both living, as well as working, right, as we all have experienced. I don't think that I've had a chance to see you live in 24 months. So, what we are seeing is the following. Number one, a number of telecom carriers around the world have started the investment process for 5G, right, and deployment process. And that actually changes the game, as you know, due to latency, due to all of the capabilities around kind of incalculable bandwidth, right. Much lower latency, as well as, much higher kind of enterprise oriented capabilities, right? So network's licensing, as an example, quality of service, you know, by a traffic type, and for a given enterprise. So that's number one. Number two, I would say that the cloud is becoming a lot more kind of mainstream in the world, broader world of telecom. What we are seeing is an incredible amount of partnerships between telecom carriers and cloud providers, right? So instead of thinking of those two as separate universes, those are starting to come together. So I believe that over a period of time, you will see the notion of kind of Cloud Native capability for both the IT side of the house, as well as the network side of the house is becoming, you know, kind of mainstream, right. And then the third thing is that increasingly it's a lot more about enabling new markets, new applications, in the enterprise world, right. So certainly it opens up a new kind of revenue stream for service providers and carriers around the world. But it also does something unique, which is brings together the cloud capabilities right, around elasticity, flexibility, intelligence, and so on, with the enterprise customer base that most of the cloud providers already have. And with the combination of 5G, brings it to the telecom world. And those, you know, I started to call it, as a kind of the triad, right? The triad of an enterprise, the telecom service provider, and the cloud provider, all working together to solve real business problems. >> Yeah, and it's totally a great call out there on the pandemic. I think the pandemic has shown us, coming out of it now, that cloud-scale matters. And you look at all the successes between work, play, and how we've all kind of adjusted, the cloud technologies were a big part of that, those solutions that got us through it. Now you've got the Edge developing with 5G. And I got to ask you this question, because when we have CUBE interviews with all the leaders of engineering teams, whether it's in the industry, or customers in the enterprise, and even in the telcos, the modern application teams have end-to-end visibility into the workload. You're starting to see more and more of that. You starting to see more open source in everything, right. So okay, I buy that. You got an SRE on the team, you got some modern developers, you're shifting left, you've got Devs set up. All good, all cloud. However, you're a networking guy. You know this. Routing packets across multiple networks is difficult. So if you're going to have end-to-end visibility, you got to have end-to-end intelligence on the networking. How is that being solved? Because this is a critical discussion here at Mobile World Congress. Okay, I buy Cloud Native, I buy observability, I buy open source, but I got to have end-to-end visibility for security, and workload management and managing all the data. What's the answer on the network side? >> Yeah, so that's a great question. And the simple way to think about this, is first and foremost, you need kind of global infrastructure, right? So that's a given, and of course, you know, Google with its kind of global infrastructure, and some of the largest networks in the world, we have that present, right. So that's important. Second is, to be able to abstract a way that underlying infrastructure, and make it available to applications, to a set of APIs. Right, so I'll give an analogy here. Just as you know, say 10 years ago, around 10 years ago, Android came into the market from Google, in the following way. What it did, was that it abstracted away the underlying devices with a simple kind of layer on top of operating system, which exposed APIs northbound. So then application developers can write new applications. And that actually unleashed, you know, a ton of kind of creativity right, around the world. And that's precisely what we believe is kind of the next step, as you said, on an end-to-end observability basis, right? If you can do an abstraction away from all of the underlying kind of core infrastructure, provide the right APIs, the right kind of information around observability, around telemetric, instead of making, you know, cloud and the infrastructure, the black box. Make it open, make it kind of visible to the applications. Bring that to the applications, and let the thousand flowers bloom, right? The creativity in each vertical area is so significant, because there are independent software vendors. There are systems integrators. There are individual developers. So one of the things that we are doing right now, is utilizing open source technologies, such as Kubernetes, right? Which is something that Google actually brought into the market. And it has become kind of the de facto standard for all of the container and modernization of applications. So by leveraging those open technologies, creating this common control plane, exposing APIs, right, for everything from application development, to observability, you certainly have the ability to solve business problems through a large number of entities in the systems integrator and the ISC and the developer community. So that's the approach that we are taking, John. >> I love the Android analogy of the abstraction layer, because at that time, the iPhone was closed. It still is. And they got their own little strategy there. Android went the other way. They went open, went open abstraction. Now abstraction layers are good. And now I want to get your thoughts on this, because anyone in operating systems knows abstractions are great for innovation. How does that apply to the real world on telco? Because I get how it could add some programmability in there. I get the control plane piece. Putting it into the operator's hands, how do you guys see, and how do you guys talk about the Edge service offering? What does it mean for the telco? Because if they get this right, this is going to be in telco cloud developer play. It's going to be a telco cloud ecosystem play. It's an opportunity for a new kind of telco system. How do you see that rolling out in real world? >> Great question, John. So the way I look at it, actually even we should take a step back, right? So the confluence of 5G, the kind of cloud capabilities and the Edge is, you know, very clear to me that it's going to unleash a significant amount of innovation. We are in early stages, no question, but it's going to drive innovation. So one almost has to start by saying what exactly is Edge, right? So the way I look at it, is that the Edge can be a continuum all the way from kind of an IOT device in automobiles, right? Or an enterprise Edge, like a factory location, or a retail store, or kind of a bank branch. To the telecom Edge, which is where the service providers have, not only their points of presence, and central offices, but increasingly a very large amount of intelligent RAN sites as well, right. And then the, kind of public cloud Edge, right. Where, for example, Google has, you know, 25 plus kind of regions around the world. 144, you know, PoPS, lots of CDN locations. We have, you know, few thousand nodes deployed deep inside service provider networks for caching of content, and so on. So if you think about these as different places in the network that you can deploy, compute, storage and intelligence act, right. And do that in a smart way, right? For example, if you were to run the learning algorithms in the cloud with its flexibility and elasticity, and run the inferencing at the Edge, very Edge, at the point of sort of a sale, or a point, a very consumer standing. Now you suddenly have the ability to create a variety of Edge applications. So going back to the new question, what have we seen, right? So what we are seeing, is depending on the vertical, there are different types of Edge applications, okay. So let's take a few examples. And I'll give you some, a favorite example of mine, which is in the sports arena, right? So in baseball, when you are in a stadium, and soon there are people sort of starting to be in stadiums, right? And a pitcher is throwing the pitch, right, the trajectory of the ball, the speed of the pitch, where the batter is, you know, what the strike zone is, and all of these things, if they can be in a stadium in real time, analyzed, and presented to the consumer as additional intelligence, and additional insight, suddenly it actually creates kind of a immersive experience. Even though you may be in the stadium, looking at the real thing, you are also seeing an immersive experience. And of course at home, you get a completely different experience, right? So the idea is that in sports, in media and entertainment, the power of Edge compute, and the power of AI ML, right, can be utilized to create completely new immersive experiences. Similarly, in a factory or an automotive environment, you have the ability to use AI ML, and the power of the Edge and 5G coming together, to find where the defects are, in a manufacturing environment, right? So every vertical, what we're finding is, there are very specific applications, which you can call as kind of killer apps, right in the Edge world, that over time will become prevalent and mainstream. And they will drive the innovation. They will drive deployment, and they also will drive ultimately, kind of the economics of all of this. >> You're laying out, essentially the role of the public cloud in the telco market. I'd love to get your thoughts, because a lot of people are saying, "Oh, the cloud, it's all Edge now. It's going back to on-premises." This is not the case. I mean, I've been really vocal on this. The public cloud and cloud operations is now the new normal. So developers are there. So I want you to explain real quick, the role of the public cloud in the telecom market and the Telecom Edge, because now they're working together. You've got abstraction, you mentioned that Android-like environment coming, there's going to be an Android-like effect, that abstraction. You got O-RAN out there, creating these connection points, for interoperability, for radio signals, and the End Transceivers or the Edge of the radios. All of this is happening. How is Google powering this? What is the role of public cloud in this? >> Yeah, so let me first talk about genetically the role of public cloud. Then I'll talk about Google, okay, in particular. So, if at the end of the day, the goal here is to create applications in a very simple and efficient manner, right? So what do you like, if you look for that as the goal, then the public cloud brings, you know, three fundamental things. Number one, is what I would call as elasticity and flexibility, right? So why is this important? Because as we discussed earlier, Edge is not one place, it's a variety of kind of different locations. If there is a mechanism to create this common control plane, and have the ability to kind of have elastic compute, elastic networking, elastic storage, and have this deployed in a flexible manner. Literally if you think, think about it like an effortless Edge is what we are starting to call it. You can move workload and capability, and run it precisely where it makes sense, right? Like I said, earlier, training and learning algorithms in the deep cloud. Inferencing, at the very edge, right? So if you can make that decision, then it becomes very powerful. So that's the first point, you know, elasticity and flexibility that cloud can bring. Second is, intelligence. The whole notion of leveraging the power of data, and the power of AI and ML is extremely crucial for creation of new services. So that's something that the public cloud brings. And the third is this notion of, write once, deploy anywhere, right? This notion of kind of a full stack capability that when open, kind of developer ecosystem can be brought in, right? Like we talked about Kubernetes earlier. So if there's a way in which you can bring in those developer and ISV ecosystem, which is already present in the world of public cloud, that's something that is the third thing that public cloud brings. And Google strategy very simply, is to play on all of these, right? Because we, you know, Google has incredibly rich deployment experience around the world for some of the largest services on the planet, right? With some of the biggest infrastructure in the networking world. Second, is we have a very open and flexible approach, right? So open as you know, we not only leverage kind of the Kubernetes environment, but also there are many other areas, Key Native, and so on where Google has brought a lot of open kind of capabilities to the broader market. And the third, is the enablement of the ecosystem. So last year we actually announced 200 applications, you know, from 30 ISVs in multiple verticals that we're now going to be deployed on Google Cloud, in order to solve specific business pain points, right. And building out that ecosystem, working with telecom service providers, with systems integrators, with equipment players, is the way that we believe Google Cloud can make a difference in this world of developing Edge applications. We are seeing great traction, John, you know, whether it is in the carrier world. Carrier such as Orange, Telecom Italia, TELUS, SK Telecom, Vodafone. These have all publicly announced their work with Google Cloud, leveraging the power of data, analytics, AI ML, and our very flexible infrastructure. And then a variety of kind of partners and OEM players, in the industry. As an example, Nokia, right, Amdocs, and Netcracker, and many others. So we are really excited in the traction that we are getting. And we believe that public cloud is going to be a key part of the evolution of the telecom industry. >> Shailesh, it's great to have you on. Shailesh Shukla, VP and GM of Networking at Google Cloud. And I would just add to that final point there, that open and this Android-like open environment is going to create a thousand flowers to bloom. Those are new applications, new modern applications, new companies, a new ecosystem in the Telco Cloud. So congratulations. Thanks for coming on and sharing your insights. Google Cloud, you guys are about the data, and being open. Thanks for comin' on. >> Thank you, John. Good to talk to you. >> Okay, so keeps coverage of Mobile World Congress. Google Cloud, featured interview here on theCUBE. Really a big part of the public cloud is going to be a big driver. Call it public cloud, hybrid cloud, whatever you want to call it. It's the cloud, cloud and Edge with 5G, making a big difference and changing the landscape, and trying innovation for the telco space. I'm John Furrier, your CUBE host. Thanks for watching. Okay, Dave, that's the Google support. They are obviously singing the same song as Danielle Royston, every vertical. >> Two great interviews, John. Really nice job. We can see the tech. The strategy is becoming more clear. You know, one of the big four. >> Yeah, I just love, these guys are so smart. Every vertical is going to be impacted by elastic infrastructure, AI, machine learning, and this new code deployment, write once, deploy anywhere. That's theCUBE. We love being here it's a cloud show now. Mobile World Congress, back to the studio for more awesome Cloud City content.

>>from around the globe. It's the Cube presenting Cuban cloud brought to you by silicon angle, everybody to Cuban cloud. My name is Dave Volonte, and I'll be here throughout the day with my co host, John Ferrier, who was quarantined in an undisclosed location in California. He's all good. Don't worry. Just precautionary. John, how are you doing? >>Hey, great to see you. John. Quarantine. My youngest daughter had covitz, so contact tracing. I was negative in quarantine at a friend's location. All good. >>Well, we wish you the best. Yeah, well, right. I mean, you know what's it like, John? I mean, you're away from your family. Your basically shut in, right? I mean, you go out for a walk, but you're really not in any contact with anybody. >>Correct? Yeah. I mean, basically just isolation, Um, pretty much what everyone's been kind of living on, kind of suffering through, but hopefully the vaccines are being distributed. You know, one of the things we talked about it reinvent the Amazon's cloud conference. Was the vaccine on, but just the whole workflow around that it's gonna get better. It's kind of really sucky. Here in the California area, they haven't done a good job, a lot of criticism around, how that's rolling out. And, you know, Amazon is now offering to help now that there's a new regime in the U. S. Government S o. You know, something to talk about, But certainly this has been a terrible time for Cove it and everyone in the deaths involved. But it's it's essentially pulled back the covers, if you will, on technology and you're seeing everything. Society. In fact, um, well, that's big tech MIT disinformation campaigns. All these vulnerabilities and cyber, um, accelerated digital transformation. We'll talk about a lot today, but yeah, it's totally changed the world. And I think we're in a new generation. I think this is a real inflection point, Dave. You know, modern society and the geo political impact of this is significant. You know, one of the benefits of being quarantined you'd be hanging out on these clubhouse APS, uh, late at night, listening to experts talk about what's going on, and it's interesting what's happening with with things like water and, you know, the island of Taiwan and China and U. S. Sovereignty, data, sovereignty, misinformation. So much going on to talk about. And, uh, meanwhile, companies like Mark injuries in BC firm starting a media company. What's going on? Hell freezing over. So >>we're gonna be talking about a lot of that stuff today. I mean, Cuba on cloud. It's our very first virtual editorial event we're trying to do is bring together our community. It's a it's an open forum and we're we're running the day on our 3 65 software platform. So we got a great lineup. We got CEO Seo's data Practitioners. We got a hard core technologies coming in, cloud experts, investors. We got some analysts coming in and we're creating this day long Siri's. And we've got a number of sessions that we've developed and we're gonna unpack. The future of Cloud computing in the coming decade is, John said, we're gonna talk about some of the public policy new administration. What does that mean for tech and for big tech in General? John, what can you add to that? >>Well, I think one of the things that we talked about Cove in this personal impact to me but other people as well. One of the things that people are craving right now is information factual information, truth texture that we call it. But hear this event for us, Davis, our first inaugural editorial event. Robbo, Kristen, Nicole, the entire Cube team Silicon angle, really trying to put together Morva cadence we're gonna doom or of these events where we can put out feature the best people in our community that have great fresh voices. You know, we do interview the big names Andy Jassy, Michael Dell, the billionaires with people making things happen. But it's often the people under there that are the rial newsmakers amid savory, for instance, that Google one of the most impressive technical people, he's gotta talk. He's gonna present democratization of software development in many Mawr riel people making things happen. And I think there's a communal element. We're going to do more of these. Obviously, we have, uh, no events to go to with the Cube. So we have the cube virtual software that we have been building and over years and now perfecting and we're gonna introduce that we're gonna put it to work, their dog footing it. We're gonna put that software toe work. We're gonna do a lot mawr virtual events like this Cuban cloud Cuban startup Cuban raising money. Cuban healthcare, Cuban venture capital. Always think we could do anything. Question is, what's the right story? What's the most important stories? Who's telling it and increase the aperture of the lens of the industry that we have and and expose that and fastest possible. That's what this software, you'll see more of it. So it's super exciting. We're gonna add new features like pulling people up on stage, Um, kind of bring on the clubhouse vibe and more of a community interaction with people to meet each other, and we'll roll those out. But the goal here is to just showcase it's cloud story in a way from people that are living it and providing value. So enjoy the day is gonna be chock full of presentations. We're gonna have moderated chat in these sessions, so it's an all day event so people can come in, drop out, and also that's everything's on demand immediately after the time slot. But you >>want to >>participate, come into the time slot into the cube room or breakout session. Whatever you wanna call it, it's a cube room, and the people in there chatting and having a watch party. So >>when you're in that home page when you're watching, there's a hero video there. Beneath that, there's a calendar, and you'll see that red line is that red horizontal line of vertical line is rather, it's a linear clock that will show you where we are in the day. If you click on any one of those sessions that will take you into the chat, we'll take you through those in a moment and share with you some of the guests that we have upcoming and and take you through the day what I wanted to do. John is trying to set the stage for the conversations that folks are gonna here today. And to do that, I wanna ask the guys to bring up a graphic. And I want to talk to you, John, about the progression of cloud over time and maybe go back to the beginning and review the evolution of cloud and then really talk a little bit about where we think it Z headed. So, guys, if you bring up that graphic when a W S announced s three, it was March of 2000 and six. And as you recall, John you know, nobody really. In the vendor and user community. They didn't really pay too much attention to that. And then later that year, in August, it announced E C two people really started. They started to think about a new model of computing, but they were largely, you know, chicken tires. And it was kind of bleeding edge developers that really leaned in. Um what? What were you thinking at the time? When when you saw, uh, s three e c to this retail company coming into the tech world? >>I mean, I thought it was totally crap. I'm like, this is terrible. But then at that time, I was thinking working on I was in between kind of start ups and I didn't have a lot of seed funding. And then I realized the C two was freaking awesome. But I'm like, Holy shit, this is really great because I don't need to pay a lot of cash, the Provisional Data center, or get a server. Or, you know, at that time, state of the art startup move was to buy a super micro box or some sort of power server. Um, it was well past the whole proprietary thing. But you have to assemble probably anyone with 5 to 8 grand box and go in, and we'll put a couple ghetto rack, which is basically, uh, you know, you put it into some coasting location. It's like with everybody else in the tech ghetto of hosting, still paying monthly fees and then maintaining it and provisioning that's just to get started. And then Amazon was just really easy. And then from there you just It was just awesome. I just knew Amazon would be great. They had a lot of things that they had to fix. You know, custom domains and user interface Council got better and better, but it was awesome. >>Well, what we really saw the cloud take hold from my perspective anyway, was the financial crisis in, you know, 709 It put cloud on the radar of a number of CFOs and, of course, shadow I T departments. They wanted to get stuff done and and take I t in in in, ah, pecs, bite sized chunks. So it really was. There's cloud awakening and we came out of that financial crisis, and this we're now in this 10 year plus boom um, you know, notwithstanding obviously the economic crisis with cove it. But much of it was powered by the cloud in the decade. I would say it was really about I t transformation. And it kind of ironic, if you will, because the pandemic it hits at the beginning of this decade, >>and it >>creates this mandate to go digital. So you've you've said a lot. John has pulled forward. It's accelerated this industry transformation. Everybody talks about that, but and we've highlighted it here in this graphic. It probably would have taken several more years to mature. But overnight you had this forced march to digital. And if you weren't a digital business, you were kind of out of business. And and so it's sort of here to stay. How do you see >>You >>know what this evolution and what we can expect in the coming decades? E think it's safe to say the last 10 years defined by you know, I t transformation. That's not gonna be the same in the coming years. How do you see it? >>It's interesting. I think the big tech companies are on, but I think this past election, the United States shows um, the power that technology has. And if you look at some of the main trends in the enterprise specifically around what clouds accelerating, I call the second wave of innovations coming where, um, it's different. It's not what people expect. Its edge edge computing, for instance, has talked about a lot. But industrial i o t. Is really where we've had a lot of problems lately in terms of hacks and malware and just just overall vulnerabilities, whether it's supply chain vulnerabilities, toe actual disinformation, you know, you know, vulnerabilities inside these networks s I think this network effects, it's gonna be a huge thing. I think the impact that tech will have on society and global society geopolitical things gonna be also another one. Um, I think the modern application development of how applications were written with data, you know, we always been saying this day from the beginning of the Cube data is his integral part of the development process. And I think more than ever, when you think about cloud and edge and this distributed computing paradigm, that cloud is now going next level with is the software and how it's written will be different. You gotta handle things like, where's the compute component? Is it gonna be at the edge with all the server chips, innovations that Amazon apple intel of doing, you're gonna have compute right at the edge, industrial and kind of human edge. How does that work? What's Leighton see to that? It's it really is an edge game. So to me, software has to be written holistically in a system's impact on the way. Now that's not necessarily nude in the computer science and in the tech field, it's just gonna be deployed differently. So that's a complete rewrite, in my opinion of the software applications. Which is why you're seeing Amazon Google VM Ware really pushing Cooper Netease and these service messes in the micro Services because super critical of this technology become smarter, automated, autonomous. And that's completely different paradigm in the old full stack developer, you know, kind of model. You know, the full stack developer, his ancient. There's no such thing as a full stack developer anymore, in my opinion, because it's a half a stack because the cloud takes up the other half. But no one wants to be called the half stack developer because it doesn't sound as good as Full Stack, but really Cloud has eliminated the technology complexity of what a full stack developer used to dio. Now you can manage it and do things with it, so you know, there's some work to done, but the heavy lifting but taking care of it's the top of the stack that I think is gonna be a really critical component. >>Yeah, and that that sort of automation and machine intelligence layer is really at the top of the stack. This this thing becomes ubiquitous, and we now start to build businesses and new processes on top of it. I wanna I wanna take a look at the Big Three and guys, Can we bring up the other The next graphic, which is an estimate of what the revenue looks like for the for the Big three. And John, this is I asked and past spend for the Big Three Cloud players. And it's It's an estimate that we're gonna update after earning seasons, and I wanna point a couple things out here. First is if you look at the combined revenue production of the Big Three last year, it's almost 80 billion in infrastructure spend. I mean, think about that. That Z was that incremental spend? No. It really has caused a lot of consolidation in the on Prem data center business for guys like Dell. And, you know, um, see, now, part of the LHP split up IBM Oracle. I mean, it's etcetera. They've all felt this sea change, and they had to respond to it. I think the second thing is you can see on this data. Um, it's true that azure and G C P they seem to be growing faster than a W s. We don't know the exact numbers >>because >>A W S is the only company that really provides a clean view of i s and pass. Whereas Microsoft and Google, they kind of hide the ball in their numbers. I mean, I don't blame them because they're behind, but they do leave breadcrumbs and clues about growth rates and so forth. And so we have other means of estimating, but it's it's undeniable that azure is catching up. I mean, it's still quite distance the third thing, and before I want to get your input here, John is this is nuanced. But despite the fact that Azure and Google the growing faster than a W s. You can see those growth rates. A W s I'll call this out is the only company by our estimates that grew its business sequentially last quarter. Now, in and of itself, that's not significant. But what is significant is because AWS is so large there $45 billion last year, even if the slower growth rates it's able to grow mawr and absolute terms than its competitors, who are basically flat to down sequentially by our estimates. Eso So that's something that I think is important to point out. Everybody focuses on the growth rates, but it's you gotta look at also the absolute dollars and, well, nonetheless, Microsoft in particular, they're they're closing the gap steadily, and and we should talk more about the competitive dynamics. But I'd love to get your take on on all this, John. >>Well, I mean, the clouds are gonna win right now. Big time with the one the political climate is gonna be favoring Big check. But more importantly, with just talking about covert impact and celebrating the digital transformation is gonna create a massive rising tide. It's already happening. It's happening it's happening. And again, this shift in programming, uh, models are gonna really kinda accelerating, create new great growth. So there's no doubt in my mind of all three you're gonna win big, uh, in the future, they're just different, You know, the way they're going to market position themselves, they have to be. Google has to be a little bit different than Amazon because they're smaller and they also have different capabilities, then trying to catch up. So if you're Google or Microsoft, you have to have a competitive strategy to decide. How do I wanna ride the tide If you will put the rising tide? Well, if I'm Amazon, I mean, if I'm Microsoft and Google, I'm not going to try to go frontal and try to copy Amazon because Amazon is just pounding lead of features and scale and they're different. They were, I would say, take advantage of the first mover of pure public cloud. They really awesome. It passed and I, as they've integrated in Gardner, now reports and integrated I as and passed components. So Gardner finally got their act together and said, Hey, this is really one thing. SAS is completely different animal now Microsoft Super Smart because they I think they played the right card. They have a huge installed base converted to keep office 3 65 and move sequel server and all their core jewels into the cloud as fast as possible, clarified while filling in the gaps on the product side to be cloud. So you know, as you're doing trends job, they're just it's just pedal as fast as you can. But Microsoft is really in. The strategy is just go faster trying. Keep pedaling fast, get the features, feature velocity and try to make it high quality. Google is a little bit different. They have a little power base in terms of their network of strong, and they have a lot of other big data capabilities, so they have to use those to their advantage. So there is. There is there is competitive strategy game application happening with these companies. It's not like apples, the apples, In my opinion, it never has been, and I think that's funny that people talk about it that way. >>Well, you're bringing up some great points. I want guys bring up the next graphic because a lot of things that John just said are really relevant here. And what we're showing is that's a survey. Data from E. T. R R Data partners, like 1400 plus CEOs and I T buyers and on the vertical axis is this thing called Net score, which is a measure of spending momentum. And the horizontal axis is is what's called market share. It's a measure of the pervasiveness or, you know, number of mentions in the data set. There's a couple of key points I wanna I wanna pick up on relative to what John just said. So you see A W S and Microsoft? They stand alone. I mean, they're the hyper scale er's. They're far ahead of the pack and frankly, they have fall down, toe, lose their lead. They spend a lot on Capex. They got the flywheel effects going. They got both spending velocity and large market shares, and so, but they're taking a different approach. John, you're right there living off of their SAS, the state, their software state, Andi, they're they're building that in to their cloud. So they got their sort of a captive base of Microsoft customers. So they've got that advantage. They also as we'll hear from from Microsoft today. They they're building mawr abstraction layers. Andy Jassy has said We don't wanna be in that abstraction layer business. We wanna have access to those, you know, fine grain primitives and eso at an AP level. So so we can move fast with the market. But but But so those air sort of different philosophies, John? >>Yeah. I mean, you know, people who know me know that I love Amazon. I think their product is superior at many levels on in its way that that has advantages again. They have a great sass and ecosystem. They don't really have their own SAS play, although they're trying to add some stuff on. I've been kind of critical of Microsoft in the past, but one thing I'm not critical of Microsoft, and people can get this wrong in the marketplace. Actually, in the journalism world and also in just some other analysts, Microsoft has always had large scale eso to say that Microsoft never had scale on that Amazon owned the monopoly on our franchise on scales wrong. Microsoft had scale from day one. Their business was always large scale global. They've always had infrastructure with MSN and their search and the distributive how they distribute browsers and multiple countries. Remember they had the lock on the operating system and the browser for until the government stepped in in 1997. And since 1997 Microsoft never ever not invested in infrastructure and scale. So that whole premise that they don't compete well there is wrong. And I think that chart demonstrates that there, in there in the hyper scale leadership category, hands down the question that I have. Is that there not as good and making that scale integrate in because they have that legacy cards. This is the classic innovator's dilemma. Clay Christensen, right? So I think they're doing a good job. I think their strategy sound. They're moving as fast as they can. But then you know they're not gonna come out and say We don't have the best cloud. Um, that's not a marketing strategy. Have to kind of hide in this and get better and then double down on where they're winning, which is. Clients are converting from their legacy at the speed of Microsoft, and they have a huge client base, So that's why they're stopping so high That's why they're so good. >>Well, I'm gonna I'm gonna give you a little preview. I talked to gear up your f Who's gonna come on today and you'll see I I asked him because the criticism of Microsoft is they're, you know, they're just good enough. And so I asked him, Are you better than good enough? You know, those are fighting words if you're inside of Microsoft, but so you'll you'll have to wait to see his answer. Now, if you guys, if you could bring that that graphic back up I wanted to get into the hybrid zone. You know where the field is. Always got >>some questions coming in on chat, Dave. So we'll get to those >>great Awesome. So just just real quick Here you see this hybrid zone, this the field is bunched up, and the other companies who have a large on Prem presence and have been forced to initiate some kind of coherent cloud strategy included. There is Michael Michael, multi Cloud, and Google's there, too, because they're far behind and they got to take a different approach than a W s. But as you can see, so there's some real progress here. VM ware cloud on AWS stands out, as does red hat open shift. You got VM Ware Cloud, which is a VCF Cloud Foundation, even Dell's cloud. And you'd expect HP with Green Lake to be picking up momentum in the future quarters. And you've got IBM and Oracle, which there you go with the innovator's dilemma. But there, at least in the cloud game, and we can talk about that. But so, John, you know, to your point, you've gotta have different strategies. You're you're not going to take out the big too. So you gotta play, connect your print your on Prem to your cloud, your hybrid multi cloud and try to create new opportunities and new value there. >>Yeah, I mean, I think we'll get to the question, but just that point. I think this Zeri Chen's come on the Cube many times. We're trying to get him to come on lunch today with Features startup, but he's always said on the Q B is a V C at Greylock great firm. Jerry's Cloud genius. He's been there, but he made a point many, many years ago. It's not a winner. Take all the winner. Take most, and the Big Three maybe put four or five in there. We'll take most of the markets here. But I think one of the things that people are missing and aren't talking about Dave is that there's going to be a second tier cloud, large scale model. I don't want to say tear to cloud. It's coming to sound like a sub sub cloud, but a new category of cloud on cloud, right? So meaning if you get a snowflake, did I think this is a tale? Sign to what's coming. VM Ware Cloud is a native has had huge success, mainly because Amazon is essentially enabling them to be successful. So I think is going to be a wave of a more of a channel model of indirect cloud build out where companies like the Cube, potentially for media or others, will build clouds on top of the cloud. So if Google, Microsoft and Amazon, whoever is the first one to really enable that okay, we'll do extremely well because that means you can compete with their scale and create differentiation on top. So what snowflake did is all on Amazon now. They kind of should go to azure because it's, you know, politically correct that have multiple clouds and distribution and business model shifts. But to get that kind of performance they just wrote on Amazon. So there's nothing wrong with that. Because you're getting paid is variable. It's cap ex op X nice categorization. So I think that's the way that we're watching. I think it's super valuable, I think will create some surprises in terms of who might come out of the woodwork on be a leader in a category. Well, >>your timing is perfect, John and we do have some questions in the chat. But before we get to that, I want to bring in Sargi Joe Hall, who's a contributor to to our community. Sargi. Can you hear us? All right, so we got, uh, while >>bringing in Sarpy. Let's go down from the questions. So the first question, Um, we'll still we'll get the student second. The first question. But Ronald ask, Can a vendor in 2021 exist without a hybrid cloud story? Well, story and capabilities. Yes, they could live with. They have to have a story. >>Well, And if they don't own a public cloud? No. No, they absolutely cannot. Uh hey, Sergey. How you doing, man? Good to see you. So, folks, let me let me bring in Sergeant Kohala. He's a He's a cloud architect. He's a practitioner, He's worked in as a technologist. And there's a frequent guest on on the Cube. Good to see you, my friend. Thanks for taking the time with us. >>And good to see you guys to >>us. So we were kind of riffing on the competitive landscape we got. We got so much to talk about this, like, it's a number of questions coming in. Um, but Sargi we wanna talk about you know, what's happening here in Cloud Land? Let's get right into it. I mean, what do you guys see? I mean, we got yesterday. New regime, new inaug inauguration. Do you do you expect public policy? You'll start with you Sargi to have What kind of effect do you think public policy will have on, you know, cloud generally specifically, the big tech companies, the tech lash. Is it gonna be more of the same? Or do you see a big difference coming? >>I think that there will be some changing narrative. I believe on that. is mainly, um, from the regulators side. A lot has happened in one month, right? So people, I think are losing faith in high tech in a certain way. I mean, it doesn't, uh, e think it matters with camp. You belong to left or right kind of thing. Right? But parlor getting booted out from Italy s. I think that was huge. Um, like, how do you know that if a cloud provider will not boot you out? Um, like, what is that line where you draw the line? What are the rules? I think that discussion has to take place. Another thing which has happened in the last 23 months is is the solar winds hack, right? So not us not sort acknowledging that I was Russia and then wish you watching it now, new administration might have a different sort of Boston on that. I think that's huge. I think public public private partnership in security arena will emerge this year. We have to address that. Yeah, I think it's not changing. Uh, >>economics economy >>will change gradually. You know, we're coming out off pandemic. The money is still cheap on debt will not be cheap. for long. I think m and a activity really will pick up. So those are my sort of high level, Uh, >>thank you. I wanna come back to them. And because there's a question that chat about him in a But, John, how do you see it? Do you think Amazon and Google on a slippery slope booting parlor off? I mean, how do they adjudicate between? Well, what's happening in parlor? Uh, anything could happen on clubhouse. Who knows? I mean, can you use a I to find that stuff? >>Well, that's I mean, the Amazons, right? Hiding right there bunkered in right now from that bad, bad situation. Because again, like people we said Amazon, these all three cloud players win in the current environment. Okay, Who wins with the U. S. With the way we are China, Russia, cloud players. Okay, let's face it, that's the reality. So if I wanted to reset the world stage, you know what better way than the, you know, change over the United States economy, put people out of work, make people scared, and then reset the entire global landscape and control all with cash? That's, you know, conspiracy theory. >>So you see the riches, you see the riches, get the rich, get richer. >>Yeah, well, that's well, that's that. That's kind of what's happening, right? So if you start getting into this idea that you can't actually have an app on site because the reason now I'm not gonna I don't know the particular parlor, but apparently there was a reason. But this is dangerous, right? So what? What that's gonna do is and whether it's right or wrong or not, whether political opinion is it means that they were essentially taken offline by people that weren't voted for that. Weren't that when people didn't vote for So that's not a democracy, right? So that's that's a different kind of regime. What it's also going to do is you also have this groundswell of decentralized thinking, right. So you have a whole wave of crypto and decentralized, um, cyber punks out there who want to decentralize it. So all of this stuff in January has created a huge counterculture, and I had predicted this so many times in the Cube. David counterculture is coming and and you already have this kind of counterculture between centralized and decentralized thinking and so I think the Amazon's move is dangerous at a fundamental level. Because if you can't get it, if you can't get buy domain names and you're completely blackballed by by organized players, that's a Mafia, in my opinion. So, uh, and that and it's also fuels the decentralized move because people say, Hey, if that could be done to them, it could be done to me. Just the fact that it could be done will promote a swing in the other direction. I >>mean, independent of of, you know, again, somebody said your political views. I mean Parlor would say, Hey, we're trying to clean this stuff up now. Maybe they didn't do it fast enough, but you think about how new parlor is. You think about the early days of Twitter and Facebook, so they were sort of at a disadvantage. Trying to >>have it was it was partly was what it was. It was a right wing stand up job of standing up something quick. Their security was terrible. If you look at me and Cory Quinn on be great to have him, and he did a great analysis on this, because if you look the lawsuit was just terrible. Security was just a half, asshole. >>Well, and the experience was horrible. I mean, it's not It was not a great app, but But, like you said, it was a quick stew. Hand up, you know, for an agenda. But nonetheless, you know, to start, get to your point earlier. It's like, you know, Are they gonna, you know, shut me down? If I say something that's, you know, out of line, or how do I control that? >>Yeah, I remember, like, 2019, we involved closing sort of remarks. I was there. I was saying that these companies are gonna be too big to fail. And also, they're too big for other nations to do business with. In a way, I think MNCs are running the show worldwide. They're running the government's. They are way. Have seen the proof of that in us this year. Late last year and this year, um, Twitter last night blocked Chinese Ambassador E in us. Um, from there, you know, platform last night and I was like, What? What's going on? So, like, we used to we used to say, like the Chinese company, tech companies are in bed with the Chinese government. Right. Remember that? And now and now, Actually, I think Chinese people can say the same thing about us companies. Uh, it's not a good thing. >>Well, let's >>get some question. >>Let's get some questions from the chat. Yeah. Thank you. One is on M and a subject you mentioned them in a Who do you see is possible emanate targets. I mean, I could throw a couple out there. Um, you know, some of the cdn players, maybe aka my You know, I like I like Hashi Corp. I think they're doing some really interesting things. What do you see? >>Nothing. Hashi Corp. And anybody who's doing things in the periphery is a candidate for many by the big guys, you know, by the hyper scholars and number two tier two or five hyper scholars. Right. Uh, that's why sales forces of the world and stuff like that. Um, some some companies, which I thought there will be a target, Sort of. I mean, they target they're getting too big, because off their evaluations, I think how she Corpuz one, um, >>and >>their bunch in the networking space. Uh, well, Tara, if I say the right that was acquired by at five this week, this week or last week, Actually, last week for $500 million. Um, I know they're founder. So, like I found that, Yeah, there's a lot going on on the on the network side on the anything to do with data. Uh, that those air too hard areas in the cloud arena >>data, data protection, John, any any anything you could adhere. >>And I think I mean, I think ej ej is gonna be where the gaps are. And I think m and a activity is gonna be where again, the bigger too big to fail would agree with you on that one. But we're gonna look at white Spaces and say a white space for Amazon is like a monster space for a start up. Right? So you're gonna have these huge white spaces opportunities, and I think it's gonna be an M and a opportunity big time start ups to get bought in. Given the speed on, I think you're gonna see it around databases and around some of these new service meshes and micro services. I mean, >>they there's a There's a question here, somebody's that dons asking why is Google who has the most pervasive tech infrastructure on the planet. Not at the same level of other to hyper scale is I'll give you my two cents is because it took him a long time to get their heads out of their ads. I wrote a piece of around that a while ago on they just they figured out how to learn the enterprise. I mean, John, you've made this point a number of times, but they just and I got a late start. >>Yeah, they're adding a lot of people. If you look at their who their hiring on the Google Cloud, they're adding a lot of enterprise chops in there. They realized this years ago, and we've talked to many of the top leaders, although Curry and hasn't yet sit down with us. Um, don't know what he's hiding or waiting for, but they're clearly not geared up to chicken Pete. You can see it with some some of the things that they're doing, but I mean competed the level of Amazon, but they have strength and they're playing their strength, but they definitely recognize that they didn't have the enterprise motions and people in the DNA and that David takes time people in the enterprise. It's not for the faint of heart. It's unique details that are different. You can't just, you know, swing the Google playbook and saying We're gonna home The enterprises are text grade. They knew that years ago. So I think you're going to see a good year for Google. I think you'll see a lot of change. Um, they got great people in there. On the product marketing side is Dev Solution Architects, and then the SRE model that they have perfected has been strong. And I think security is an area that they could really had a lot of value it. So, um always been a big fan of their huge network and all the intelligence they have that they could bring to bear on security. >>Yeah, I think Google's problem main problem that to actually there many, but one is that they don't They don't have the boots on the ground as compared to um, Microsoft, especially an Amazon actually had a similar problem, but they had a wide breath off their product portfolio. I always talk about feature proximity in cloud context, like if you're doing one thing. You wanna do another thing? And how do you go get that feature? Do you go to another cloud writer or it's right there where you are. So I think Amazon has the feature proximity and they also have, uh, aske Compared to Google, there's skills gravity. Larger people are trained on AWS. I think Google is trying there. So second problem Google is having is that that they're they're more focused on, I believe, um, on the data science part on their sort of skipping the cool components sort of off the cloud, if you will. The where the workloads needs, you know, basic stuff, right? That's like your compute storage and network. And that has to be well, talk through e think e think they will do good. >>Well, so later today, Paul Dillon sits down with Mids Avery of Google used to be in Oracle. He's with Google now, and he's gonna push him on on the numbers. You know, you're a distant third. Does that matter? And of course, you know, you're just a preview of it's gonna say, Well, no, we don't really pay attention to that stuff. But, John, you said something earlier that. I think Jerry Chen made this comment that, you know, Is it a winner? Take all? No, but it's a winner. Take a lot. You know the number two is going to get a big chunk of the pie. It appears that the markets big enough for three. But do you? Does Google have to really dramatically close the gap on be a much, much closer, you know, to the to the leaders in orderto to compete in this race? Or can they just kind of continue to bump along, siphon off the ad revenue? Put it out there? I mean, I >>definitely can compete. I think that's like Google's in it. Then it they're not. They're not caving, right? >>So But But I wrote I wrote recently that I thought they should even even put mawr oven emphasis on the cloud. I mean, maybe maybe they're already, you know, doubling down triple down. I just I think that is a multi trillion dollar, you know, future for the industry. And, you know, I think Google, believe it or not, could even do more. Now. Maybe there's just so much you could dio. >>There's a lot of challenges with these company, especially Google. They're in Silicon Valley. We have a big Social Justice warrior mentality. Um, there's a big debate going on the in the back channels of the tech scene here, and that is that if you want to be successful in cloud, you have to have a good edge strategy, and that involves surveillance, use of data and pushing the privacy limits. Right? So you know, Google has people within the country that will protest contract because AI is being used for war. Yet we have the most unstable geopolitical seen that I've ever witnessed in my lifetime going on right now. So, um, don't >>you think that's what happened with parlor? I mean, Rob Hope said, Hey, bar is pretty high to kick somebody off your platform. The parlor went over the line, but I would also think that a lot of the employees, whether it's Google AWS as well, said, Hey, why are we supporting you know this and so to your point about social justice, I mean, that's not something. That >>parlor was not just social justice. They were trying to throw the government. That's Rob e. I think they were in there to get selfies and being protesters. But apparently there was evidence from what I heard in some of these clubhouse, uh, private chats. Waas. There was overwhelming evidence on parlor. >>Yeah, but my point is that the employee backlash was also a factor. That's that's all I'm saying. >>Well, we have Google is your Google and you have employees to say we will boycott and walk out if you bid on that jet I contract for instance, right, But Microsoft one from maybe >>so. I mean, that's well, >>I think I think Tom Poole's making a really good point here, which is a Google is an alternative. Thio aws. The last Google cloud next that we were asked at they had is all virtual issue. But I saw a lot of I T practitioners in the audience looking around for an alternative to a W s just seeing, though, we could talk about Mano Cloud or Multi Cloud, and Andy Jassy has his his narrative around, and he's true when somebody goes multiple clouds, they put you know most of their eggs in one basket. Nonetheless, I think you know, Google's got a lot of people interested in, particularly in the analytic side, um, in in an alternative, hedging their bets eso and particularly use cases, so they should be able to do so. I guess my the bottom line here is the markets big enough to have Really? You don't have to be the Jack Welch. I gotta be number one and number two in the market. Is that the conclusion here? >>I think so. But the data gravity and the skills gravity are playing against them. Another problem, which I didn't want a couple of earlier was Google Eyes is that they have to boot out AWS wherever they go. Right? That is a huge challenge. Um, most off the most off the Fortune 2000 companies are already using AWS in one way or another. Right? So they are the multi cloud kind of player. Another one, you know, and just pure purely somebody going 200% Google Cloud. Uh, those cases are kind of pure, if you will. >>I think it's gonna be absolutely multi cloud. I think it's gonna be a time where you looked at the marketplace and you're gonna think in terms of disaster recovery, model of cloud or just fault tolerant capabilities or, you know, look at the parlor, the next parlor. Or what if Amazon wakes up one day and said, Hey, I don't like the cubes commentary on their virtual events, so shut them down. We should have a fail over to Google Cloud should Microsoft and Option. And one of people in Microsoft ecosystem wants to buy services from us. We have toe kind of co locate there. So these are all open questions that are gonna be the that will become certain pretty quickly, which is, you know, can a company diversify their computing An i t. In a way that works. And I think the momentum around Cooper Netease you're seeing as a great connective tissue between, you know, having applications work between clouds. Right? Well, directionally correct, in my opinion, because if I'm a company, why wouldn't I wanna have choice? So >>let's talk about this. The data is mixed on that. I'll share some data, meaty our data with you. About half the companies will say Yeah, we're spreading the wealth around to multiple clouds. Okay, That's one thing will come back to that. About the other half were saying, Yeah, we're predominantly mono cloud we didn't have. The resource is. But what I think going forward is that that what multi cloud really becomes. And I think John, you mentioned Snowflake before. I think that's an indicator of what what true multi cloud is going to look like. And what Snowflake is doing is they're building abstraction, layer across clouds. Ed Walsh would say, I'm standing on the shoulders of Giants, so they're basically following points of presence around the globe and building their own cloud. They call it a data cloud with a global mesh. We'll hear more about that later today, but you sign on to that cloud. So they're saying, Hey, we're gonna build value because so many of Amazon's not gonna build that abstraction layer across multi clouds, at least not in the near term. So that's a really opportunity for >>people. I mean, I don't want to sound like I'm dating myself, but you know the date ourselves, David. I remember back in the eighties, when you had open systems movement, right? The part of the whole Revolution OS I open systems interconnect model. At that time, the networking stacks for S N A. For IBM, decadent for deck we all know that was a proprietary stack and then incomes TCP I p Now os I never really happened on all seven layers, but the bottom layers standardized. Okay, that was huge. So I think if you look at a W s or some of the comments in the chat AWS is could be the s n a. Depends how you're looking at it, right? And you could say they're open. But in a way, they want more Amazon. So Amazon's not out there saying we love multi cloud. Why would they promote multi cloud? They are a one of the clouds they want. >>That's interesting, John. And then subject is a cloud architect. I mean, it's it is not trivial to make You're a data cloud. If you're snowflake, work on AWS work on Google. Work on Azure. Be seamless. I mean, certainly the marketing says that, but technically, that's not trivial. You know, there are latent see issues. Uh, you know, So that's gonna take a while to develop. What? Do your thoughts there? >>I think that multi cloud for for same workload and multi cloud for different workloads are two different things. Like we usually put multiple er in one bucket, right? So I think you're right. If you're trying to do multi cloud for the same workload, that's it. That's Ah, complex, uh, problem to solve architecturally, right. You have to have a common ap ice and common, you know, control playing, if you will. And we don't have that yet, and then we will not have that for a for at least one other couple of years. So, uh, if you if you want to do that, then you have to go to the lower, lowest common denominator in technical sort of stock, if you will. And then you're not leveraging the best of the breed technology off their from different vendors, right? I believe that's a hard problem to solve. And in another thing, is that that that I always say this? I'm always on the death side, you know, developer side, I think, uh, two deaths. Public cloud is a proxy for innovative culture. Right. So there's a catch phrase I have come up with today during shower eso. I think that is true. And then people who are companies who use the best of the breed technologies, they can attract the these developers and developers are the Mazen's off This digital sort of empires, amazingly, is happening there. Right there they are the Mazen's right. They head on the bricks. I think if you don't appeal to developers, if you don't but extensive for, like, force behind educating the market, you can't you can't >>put off. It's the same game Stepping story was seeing some check comments. Uh, guard. She's, uh, linked in friend of mine. She said, Microsoft, If you go back and look at the Microsoft early days to the developer Point they were, they made their phones with developers. They were a software company s Oh, hey, >>forget developers, developers, developers. >>You were if you were in the developer ecosystem, you were treated his gold. You were part of the family. If you were outside that world, you were competitors, and that was ruthless times back then. But they again they had. That was where it was today. Look at where the software defined businesses and starve it, saying it's all about being developer lead in this new way to program, right? So the cloud next Gen Cloud is going to look a lot like next Gen Developer and all the different tools and techniques they're gonna change. So I think, yes, this kind of developer ecosystem will be harnessed, and that's the power source. It's just gonna look different. So, >>Justin, Justin in the chat has a comment. I just want to answer the question about elastic thoughts on elastic. Um, I tell you, elastic has momentum uh, doing doing very well in the market place. Thea Elk Stack is a great alternative that people are looking thio relative to Splunk. Who people complain about the pricing. Of course it's plunks got the easy button, but it is getting increasingly expensive. The problem with elk stack is you know, it's open source. It gets complicated. You got a shard, the databases you gotta manage. It s Oh, that's what Ed Walsh's company chaos searches is all about. But elastic has some riel mo mentum in the marketplace right now. >>Yeah, you know, other things that coming on the chat understands what I was saying about the open systems is kubernetes. I always felt was that is a bad metaphor. But they're with me. That was the TCP I peep In this modern era, C t c p I p created that that the disruptor to the S N A s and the network protocols that were proprietary. So what KUBERNETES is doing is creating a connective tissue between clouds and letting the open source community fill in the gaps in the middle, where kind of way kind of probably a bad analogy. But that's where the disruption is. And if you look at what's happened since Kubernetes was put out there, what it's become kind of de facto and standard in the sense that everyone's rallying around it. Same exact thing happened with TCP was people were trashing it. It is terrible, you know it's not. Of course they were trashed because it was open. So I find that to be very interesting. >>Yeah, that's a good >>analogy. E. Thinks the R C a cable. I used the R C. A cable analogy like the VCRs. When they started, they, every VC had had their own cable, and they will work on Lee with that sort of plan of TV and the R C. A cable came and then now you can put any TV with any VCR, and the VCR industry took off. There's so many examples out there around, uh, standards And how standards can, you know, flair that fire, if you will, on dio for an industry to go sort of wild. And another trend guys I'm seeing is that from the consumer side. And let's talk a little bit on the consuming side. Um, is that the The difference wouldn't be to B and B to C is blood blurred because even the physical products are connected to the end user Like my door lock, the August door lock I didn't just put got get the door lock and forget about that. Like I I value the expedience it gives me or problems that gives me on daily basis. So I'm close to that vendor, right? So So the middle men, uh, middle people are getting removed from from the producer off the technology or the product to the consumer. Even even the sort of big grocery players they have their APs now, uh, how do you buy stuff and how it's delivered and all that stuff that experience matters in that context, I think, um, having, uh, to be able to sell to thes enterprises from the Cloud writer Breuder's. They have to have these case studies or all these sample sort off reference architectures and stuff like that. I think whoever has that mawr pushed that way, they are doing better like that. Amazon is Amazon. Because of that reason, I think they have lot off sort off use cases about on top of them. And they themselves do retail like crazy. Right? So and other things at all s. So I think that's a big trend. >>Great. Great points are being one of things. There's a question in there about from, uh, Yaden. Who says, uh, I like the developer Lead cloud movement, But what is the criticality of the executive audience when educating the marketplace? Um, this comes up a lot in some of my conversations around automation. So automation has been a big wave to automate this automate everything. And then everything is a service has become kind of kind of the the executive suite. Kind of like conversation we need to make everything is a service in our business. You seeing people move to that cloud model. Okay, so the executives think everything is a services business strategy, which it is on some level, but then, when they say Take that hill, do it. Developers. It's not that easy. And this is where a lot of our cube conversations over the past few months have been, especially during the cova with cute virtual. This has come up a lot, Dave this idea, and start being around. It's easy to say everything is a service but will implement it. It's really hard, and I think that's where the developer lead Connection is where the executive have to understand that in order to just say it and do it are two different things. That digital transformation. That's a big part of it. So I think that you're gonna see a lot of education this year around what it means to actually do that and how to implement it. >>I'd like to comment on the as a service and subject. Get your take on it. I mean, I think you're seeing, for instance, with HP Green Lake, Dell's come out with Apex. You know IBM as its utility model. These companies were basically taking a page out of what I what I would call a flawed SAS model. If you look at the SAS players, whether it's salesforce or workday, service now s a P oracle. These models are They're really They're not cloud pricing models. They're they're basically you got to commit to a term one year, two year, three year. We'll give you a discount if you commit to the longer term. But you're locked in on you. You probably pay upfront. Or maybe you pay quarterly. That's not a cloud pricing model. And that's why I mean, they're flawed. You're seeing companies like Data Dog, for example. Snowflake is another one, and they're beginning to price on a consumption basis. And that is, I think, one of the big changes that we're going to see this decade is that true cloud? You know, pay by the drink pricing model and to your point, john toe, actually implement. That is, you're gonna need a whole new layer across your company on it is quite complicated it not even to mention how you compensate salespeople, etcetera. The a p. I s of your product. I mean, it is that, but that is a big sea change that I see coming. Subject your >>thoughts. Yeah, I think like you couldn't see it. And like some things for this big tech exacts are hidden in the plain >>sight, right? >>They don't see it. They they have blind spots, like Look at that. Look at Amazon. They went from Melissa and 200 millisecond building on several s, Right, Right. And then here you are, like you're saying, pay us for the whole year. If you don't use the cloud, you lose it or will pay by month. Poor user and all that stuff like that that those a role models, I think these players will be forced to use that term pricing like poor minute or for a second, poor user. That way, I think the Salesforce moral is hybrid. They're struggling in a way. I think they're trying to bring the platform by doing, you know, acquisition after acquisition to be a platform for other people to build on top off. But they're having a little trouble there because because off there, such pricing and little closeness, if you will. And, uh, again, I'm coming, going, going back to developers like, if you are not appealing to developers who are writing the latest and greatest code and it is open enough, by the way open and open source are two different things that we all know that. So if your platform is not open enough, you will have you know, some problems in closing the deals. >>E. I want to just bring up a question on chat around from Justin didn't fitness. Who says can you touch on the vertical clouds? Has your offering this and great question Great CP announcing Retail cloud inventions IBM Athena Okay, I'm a huge on this point because I think this I'm not saying this for years. Cloud computing is about horizontal scalability and vertical specialization, and that's absolutely clear, and you see all the clouds doing it. The vertical rollouts is where the high fidelity data is, and with machine learning and AI efforts coming out, that's accelerated benefits. There you have tow, have the vertical focus. I think it's super smart that clouds will have some sort of vertical engine, if you will in the clouds and build on top of a control playing. Whether that's data or whatever, this is clearly the winning formula. If you look at all the successful kind of ai implementations, the ones that have access to the most data will get the most value. So, um if you're gonna have a data driven cloud you have tow, have this vertical feeling, Um, in terms of verticals, the data on DSO I think that's super important again, just generally is a strategy. I think Google doing a retail about a super smart because their whole pitches were not Amazon on. Some people say we're not Google, depending on where you look at. So every of these big players, they have dominance in the areas, and that's scarce. Companies and some companies will never go to Amazon for that reason. Or some people never go to Google for other reasons. I know people who are in the ad tech. This is a black and we're not. We're not going to Google. So again, it is what it is. But this idea of vertical specialization relevant in super >>forts, I want to bring to point out to sessions that are going on today on great points. I'm glad you asked that question. One is Alan. As he kicks off at 1 p.m. Eastern time in the transformation track, he's gonna talk a lot about the coming power of ecosystems and and we've talked about this a lot. That that that to compete with Amazon, Google Azure, you've gotta have some kind of specialization and vertical specialization is a good one. But of course, you see in the big Big three also get into that. But so he's talking at one o'clock and then it at 3 36 PM You know this times are strange, but e can explain that later Hillary Hunter is talking about she's the CTO IBM I B M's ah Financial Cloud, which is another really good example of specifying vertical requirements and serving. You know, an audience subject. I think you have some thoughts on this. >>Actually, I lost my thought. E >>think the other piece of that is data. I mean, to the extent that you could build an ecosystem coming back to Alan Nancy's premise around data that >>billions of dollars in >>their day there's billions of dollars and that's the title of the session. But we did the trillion dollar baby post with Jazzy and said Cloud is gonna be a trillion dollars right? >>And and the point of Alan Answer session is he's thinking from an individual firm. Forget the millions that you're gonna save shifting to the cloud on cost. There's billions in ecosystems and operating models. That's >>absolutely the business value. Now going back to my half stack full stack developer, is the business value. I've been talking about this on the clubhouses a lot this past month is for the entrepreneurs out there the the activity in the business value. That's the new the new intellectual property is the business logic, right? So if you could see innovations in how work streams and workflow is gonna be a configured differently, you have now large scale cloud specialization with data, you can move quickly and take territory. That's much different scenario than a decade ago, >>at the point I was trying to make earlier was which I know I remember, is that that having the horizontal sort of features is very important, as compared to having vertical focus. You know, you're you're more healthcare focused like you. You have that sort of needs, if you will, and you and our auto or financials and stuff like that. What Google is trying to do, I think that's it. That's a good thing. Do cook up the reference architectures, but it's a bad thing in a way that you drive drive away some developers who are most of the developers at 80 plus percent, developers are horizontal like you. Look at the look into the psyche of a developer like you move from company to company. And only few developers will say I will stay only in health care, right? So I will only stay in order or something of that, right? So they you have to have these horizontal capabilities which can be applied anywhere on then. On top >>of that, I think that's true. Sorry, but I'll take a little bit different. Take on that. I would say yes, that's true. But remember, remember the old school application developer Someone was just called in Application developer. All they did was develop applications, right? They pick the framework, they did it right? So I think we're going to see more of that is just now mawr of Under the Covers developers. You've got mawr suffer defined networking and software, defined storage servers and cloud kubernetes. And it's kind of like under the hood. But you got your, you know, classic application developer. I think you're gonna see him. A lot of that come back in a way that's like I don't care about anything else. And that's the promise of cloud infrastructure is code. So I think this both. >>Hey, I worked. >>I worked at people solved and and I still today I say into into this context, I say E r P s are the ultimate low code. No code sort of thing is right. And what the problem is, they couldn't evolve. They couldn't make it. Lightweight, right? Eso um I used to write applications with drag and drop, you know, stuff. Right? But But I was miserable as a developer. I didn't Didn't want to be in the applications division off PeopleSoft. I wanted to be on the tools division. There were two divisions in most of these big companies ASAP. Oracle. Uh, like companies that divisions right? One is the cooking up the tools. One is cooking up the applications. The basketball was always gonna go to the tooling. Hey, >>guys, I'm sorry. We're almost out of time. I always wanted to t some of the sections of the day. First of all, we got Holder Mueller coming on at lunch for a power half hour. Um, you'll you'll notice when you go back to the home page. You'll notice that calendar, that linear clock that we talked about that start times are kind of weird like, for instance, an appendix coming on at 1 24. And that's because these air prerecorded assets and rather than having a bunch of dead air, we're just streaming one to the other. So so she's gonna talk about people, process and technology. We got Kathy Southwick, whose uh, Silicon Valley CEO Dan Sheehan was the CEO of Dunkin Brands and and he was actually the c 00 So it's C A CEO connecting the dots to the business. Daniel Dienes is the CEO of you I path. He's coming on a 2:47 p.m. East Coast time one of the hottest companies, probably the fastest growing software company in history. We got a guy from Bain coming on Dave Humphrey, who invested $750 million in Nutanix. He'll explain why and then, ironically, Dheeraj Pandey stew, Minuteman. Our friend interviewed him. That's 3 35. 1 of the sessions are most excited about today is John McD agony at 403 p. M. East Coast time, she's gonna talk about how to fix broken data architectures, really forward thinking stuff. And then that's the So that's the transformation track on the future of cloud track. We start off with the Big Three Milan Thompson Bukovec. At one oclock, she runs a W s storage business. Then I mentioned gig therapy wrath at 1. 30. He runs Azure is analytics. Business is awesome. Paul Dillon then talks about, um, IDs Avery at 1 59. And then our friends to, um, talks about interview Simon Crosby. I think I think that's it. I think we're going on to our next session. All right, so keep it right there. Thanks for watching the Cuban cloud. Uh huh.

>> Narrator: From around the globe it's theCUBE! With digital coverage of UiPath Live, the release show. Brought to you by UiPath. >> Hi everybody this is Dave Valenti, welcome back to our RPA Drill Down. Ted Kummert is here he is Executive Vice President for Products and Engineering at UiPath. Ted, thanks for coming on, great to see you. >> Dave, it's great to be here, thanks so much. >> Dave your background is pretty interesting, you started as a Silicon Valley Engineer, they pulled you out, you did a huge stint at Microsoft. You got experience in SAS, you've got VC chops with Madrona. And at Microsoft you saw it all, the NT, the CE Space, Workflow, even MSN you did stuff with MSN, and then the all important data. So I'm interested in what attracted you to UiPath? >> Yeah Dave, I feel super fortunate to have worked in the industry in this span of time, it's been an amazing journey, and I had a great run at Microsoft it was fantastic. You mentioned one experience in the middle there, when I first went to the server business, the enterprise business, I owned our Integration and Workflow products, and I would say that's the first I encountered this idea. Often in the software industry there are ideas that have been around for a long time, and what we're doing is refining how we're delivering them. And we had ideas we talked about in terms of Business Process Management, Business Activity Monitoring, Workflow. The ways to efficiently able somebody to express the business process in a piece of software. Bring systems together, make everybody productive, bring humans into it. These were the ideas we talked about. Now in reality there were some real gaps. Because what happened in the technology was pretty different from what the actual business process was. And so lets fast forward then, I met Madrona Venture Group, Seattle based Venture Capital Firm. We actually made a decision to participate in one of UiPath's fundraising rounds. And that's the first I really came encountered with the company and had to have more than an intellectual understanding of RPA. 'Cause when I first saw it, I said "oh, I think that's desktop automation" I didn't look very close, maybe that's going to run out of runway, whatever. And then I got more acquainted with it and figured out "Oh, there's a much bigger idea here". And the power is that by really considering the process and the implementation from the humans work in, then you have an opportunity really to automate the real work. Not that what we were doing before wasn't significant, this is just that much more powerful. And that's when I got really excited. And then the companies statistics and growth and everything else just speaks for itself, in terms of an opportunity to work, I believe, in one of the most significant platforms going in the enterprise today, and work at one of the fastest growing companies around. It was like almost an automatic decision to decide to come to the company. >> Well you know, you bring up a good point you think about software historically through our industry, a lot of it was 'okay here's this software, now figure out how to map your processes to make it all work' and today the processes, especially you think about this pandemic, the processes are unknown. And so the software really has to be adaptable. So I'm wondering, and essentially we're talking about a fundamental shift in the way we work. And is there really a fundamental shift going on in how we write software and how would you describe that? >> Well there certainly are, and in a way that's the job of what we do when we build platforms for the enterprises, is try and give our customers a new way to get work done, that's more efficient and helps them build more powerful applications. And that's exactly what RPA does, the efficiency, it's not that this is the only way in software to express a lot of this, it just happens to be the quickest. You know in most ways. Especially as you start thinking about initiatives like our StudioX product to what we talk about as enabling citizen developers. It's an expression that allows customers to just do what they could have done otherwise much more quickly and efficient. And the value on that is always high, certainly in an unknown era like this, it's even more valuable, there are specific processes we've been helping automate in the healthcare, in financial services, with things like SBA Loan Processing, that we weren't thinking about six months ago, or they weren't thinking about six months ago. We're all thinking about how we're reinventing the way we work as individuals and corporations because of what's going on with the coronavirus crisis, having a platform like this that gives you agility and mapping the real work to what your computer state and applications all know how to do, is even more valuable in a climate like that. >> What attracted us originally to UiPath, we knew Bobby Patrick CMO, he said "Dave, go download a copy, go build some automations and go try it with some other companies". So that really struck us as wow, this is actually quite simple. Yet at the same time, and so you've of course been automating all these simple tasks, but now you've got real aspiration, you're glomming on to this term of Hyperautomation, you've made some acquisitions, you've got a vision, that really has taken you beyond 'paving the cow path' I sometimes say, of all these existing processes. It's really trying to discover new processes and opportunities for automation, which you would think after 50 or whatever years we've been in this industry, we'd have attacked a lot of it, but wow, seems like we have a long way to go. Again, especially what we're learning through this pandemic. Your thoughts on that? >> Yeah, I'd say Hyperautomation. It's actually a Gartner term, it's not our term. But there is a bigger idea here, built around the core automation platform. So let's talk for a second just what's not about the core platform and then what Hyperautomation really means around that. And I think of that as the bookends of how do I discover and plan, how do I improve my ability to do more automations, and find the real opportunities that I have. And how do I measure and optimize? And that's a lot of what we delivered in 20.4 as a new capability. So let's talk about discover and plan. One aspect of that is the wisdom of the crowd. We have a product we call Automation Hub that is all about that. Enabling people who have ideas, they're the ones doing the work, they have the observation into what efficiencies can be. Enabling them to either with our Ask Capture Utility capture that and document that, or just directly document that. And then, people across the company can then collaborate eventually moving on building the best ideas out of that. So there's capturing the crowd, and then there's a more scientific way of capturing actually what the opportunities are. So we've got two products we introduced. One is process mining, and process mining is about going outside in from the, let's call it the larger processes, more end to end processes in the enterprise. Things like order-to-cash and procure-to-pay, helping you understand by watching the events, and doing the analytics around that, where your bottle necks, where are you opportunities. And then task mining said "let's watch an individual, or group of individuals, what their tasks are, let's watch the log of events there, let's apply some machine learning processing to that, and say here's the repetitive things we've found." And really helping you then scientifically discover what your opportunities are. And these ideas have been along for a long time, process mining is not new. But the connection to an automation platform, we think is a new and powerful idea, and something we plan to invest a lot in going forward. So that's the first bookend. And then the second bookend is really about attaching rich analytics, so how do I measure it, so there's operationally how are my robots doing? And then there's everything down to return on investment. How do I understand how they are performing, verses what I would have spent if I was continuing to do them the old way. >> Yeah that's big 'cause (laughing) the hero reports for the executives to say "hey, this is actually working" but at the same time you've got to take a systems view. You don't want to just optimize one part of the system at the detriment to others. So you talk about process mining, which is kind of discovering the backend systems, ERP and the like, where the task mining it sounds like it's more the collaboration and front end. So that whole system thinking, really applies, doesn't it? >> Yeah. Very much so. Another part of what we talked about then, in the system is, how do we capture the ideas and how do we enable more people to build these automations? And that really gets down to, we talk about it in our company level vision, is a robot for every person. Every person should have a digital assistant. It can help you with things you do less frequently, it can help you with things you do all the time to do your job. And how do we help you create those? We've released a new tool we call StudioX. So for our RPA Developers we have Studio, and StudioX is really trying to enable a citizen developer. It's not unlike the art that we saw in Business Intelligence there was the era where analytics and reporting were the domain of experts, and they produced formalized reports that people could consume. But the people that had the questions would have to work with them and couldn't do the work themselves. And then along comes ClickView and Tableau and Power BI enabling the self services model, and all of a sudden people could do that work themselves, and that enabled powerful things. We think the same arch happens here, and StudioX is really our way of enabling that, citizen developer with the ideas to get some automation work done on their own. >> Got a lot in this announcement, things like document understanding, bring your own AI with AI fabric, how are you able to launch so many products, and have them fit together, you've made some acquisitions. Can you talk about the architecture that enables you to do that? >> Yeah, it's clearly in terms of ambition, and I've been there for 10 weeks, but in terms of ambition you don't have to have been there when they started the release after Forward III in October to know that this is the most ambitious thing that this company has ever done from a release perspective. Just in terms of the surface area we're delivering across now as an organization, is substantive. We talk about 1,000 feature improvements, 100's of discreet features, new products, as well as now our automation cloud has become generally available as well. So we've had muscle building over this past time to become world class at offering SAS, in addition to on-premises. And then we've got this big surface area, and architecture is a key component of how you can do this. How do you deliver efficiently the same software on-premises and in the cloud? Well you do that by having the right architecture and making the right bets. And certainly you look forward, how are companies doing this today? It's really all about Cloud-Native Platform. But it's about an architecture such that we can do that efficiently. So there is a lot about just your technical strategy. And then it's just about a ton of discipline and customer focus. It keeps you focused on the right things. StudioX was a great example of we were led by customers through a lot of what we actually delivered, a couple of the major features in it, certainly the out of box templates, the studio governance features, came out of customer suggestions. I think we had about 100 that we have sitting in the backlog, a lot of which we've already done, and really being disciplined and really focused on what customers are telling. So make sure you have the right technical strategy and architecture, really follow your customers, and really stay disciplined and focused on what matters most as you execute on the release. >> What can we learn from previous examples, I think about for instance SQL Server, you obviously have some knowledge in it, it started out pretty simple workloads and then at the time we all said "wow, it's a lot more powerful to come from below that it is, if a Db2, or an Oracle sort of goes down market", Microsoft proved that, obviously built in the robustness necessary, is there a similar metaphor here with regard to things like governance and security, just in terms of where UiPath started and where you see it going? >> Well I think the similarities have more to do with we have an idea of a bigger platform that we're now delivering against. In the database market, that was, we started, SQL Server started out as more of just a transactional database product, and ultimately grew to all of the workloads in the data platform, including transaction for transactional apps, data warehousing and as well as business intelligence. I see the same analogy here of thinking more broadly of the needs, and what the ability of an integrated platform, what it can do to enable great things for customers, I think that's a very consistent thing. And I think another consistent thing is know who you are. SQL Server knew exactly who it had to be when it entered the database market. That it was going to set a new benchmark on simplicity, TCO, and that was going to be the way it differentiated. In this case, we're out ahead of the market, we have a vision that's broader than a lot of the market is today. I think we see a lot of people coming in to this space, but we see them building to where we were, and we're out ahead. So we are operating from a leadership position, and I'm not going to tell you one's easier that the other, and both you have to execute with great urgency. But we're really executing out ahead, so we've got to keep thinking about, and there's no one's tail lights to follow, we have to be the ones really blazing the trail on what all of this means. >> I want to ask you about this incorporation of existing systems. Some markets they take off, it's kind of a one shot deal, and the market just embeds. I think you guys have bigger aspirations than that, I look at it like a service now, misunderstood early on, built the platform and now really is fundamental part of a lot of enterprises. I also look at things like EDW, which again, you have some experience in. In my view it failed to live up to a lot of it's promises even though it delivered a lot of value. You look at some of the big data initiatives, you know EDW still plugs in, it's the system of record, okay that's fine. How do you see RPA evolving? Are we going to incorporate, do we have to embrace existing business process systems? Or is this largely a do-over in your opinion? >> Well I think it's certainly about a new way of building automation, and it's starting to incorporate and include the other ways, for instance in the current release we added support for long running workflow, it was about human workflow based scenarios, now the human is collaborating with the robot, and we built those capabilities. So I do see us combining some of the old and new way. I think one of the most significant things here, is also that impact that AI and ML based technologies and skills can have on the power of the automations that we deliver. We've certainly got a surface area that, I think about our AI and ML strategy in two parts, that we are building first class first party skills, that we're including in the platform, and then we're building a platform for third parties and customers to bring their what their data science teams have delivered, so those can also be a part of our ecosystem, and part of automations. And so things like document understanding, how do I easily extract data from more structured, semi-structured and completely unstructured documents, accurately? And include those in my automations. Computer vision which gives us an ability to automate at a UI level across other types of systems than say a Windows and a browser base application. And task mining is built on a very robust, multi layer ML system, and the innovation opportunity that I think just consider there, you know continue there. You think it's a macro level if there's aspects of machine learning that are about captured human knowledge, well what exactly is an automation that captured where you're capturing a lot of human knowledge. The impact of ML and AI are going to be significant going out into the future. >> Yeah, I want to ask you about them, and I think a lot of people are just afraid of AI, as a separate thing and they have to figure out how to operationalize it. And I think companies like UiPath are really in a position to embed UI into applications AI into applications everywhere, so that maybe those folks that haven't climbed on the digital bandwagon, who are now with this pandemic are realizing "wow, we better accelerate this" they can actually tap machine intelligence through your products and others as well. Your thoughts on that sort of narrative? >> Yeah, I agree with that point of view, it's AI and ML is still maturing discipline across the industry. And you have to build new muscle, and you build new muscle and data science, and it forces you to think about data and how you manage your data in a different way. And that's a journey we've been on as a company to not only build our first party skills, but also to build the platform. It's what's given us the knowledge that to help us figure out, well what do we need to include here so our customers can bring their skills, actually to our platform, and I do think this is a place where we're going to see the real impact of AI and ML in a broader way. Based on the kind of apps it is and the kind of skills we can bring to bear. >> Okay last question, you're ten weeks in, when you're 50, 100, 200 weeks in, what should we be watching, what do you want to have accomplished? >> Well we're listening, we're obviously listening closely to our customers, right now we're still having a great week, 'cause there's nothing like shipping new software. So right now we're actually thinking deeply about where we're headed next. We see there's lots of opportunities and robot for every person, and that initiative, and so we're launched a bunch of important new capabilities there, and we're going to keep working with the market to understand how we can, how we can add additional capability there. We've just got the GA of our automation cloud, I think you should expect more and more services in our automation cloud going forward. I think this area we talked about, in terms of AI and ML and those technologies, I think you should expect more investment and innovation there from us and the community, helping our customers, and I think you will also see us then, as we talked about this convergence of the ways we bring together systems through integrate and build business process, I think we'll see a convergence into the platform of more of those methods. I look ahead to the next releases, and want to see us making some very significant releases that are advancing all of those things, and continuing our leadership in what we talk about now as the Hyperautomation platform. >> Well Ted, lot of innovation opportunities and of course everybody's hopping on the automation bandwagon. Everybody's going to want a piece of your RPA hide, and you're in the lead, we're really excited for you, we're excited to have you on theCUBE, so thanks very much for all your time and your insight. Really appreciate it. >> Yeah, thanks Dave, great to spend this time with you. >> All right thank you for watching everybody, this is Dave Velanti for theCUBE, and our RPA Drill Down Series, keep it right there we'll be right back, right after this short break. (calming instrumental music)

>>LA from Las Vegas. It's the cube covering AWS reinvent 2019 brought to you by Amazon web services and along with its ecosystem partners. >>Hello everyone. Welcome back to the cubes. Day three coverage of ADAS reinvent in Las Vegas. It's the cubes coverage. Want to thank Intel for being the headline sponsor for the cube two sets. Without Intel, we wouldn't make it happen. We're here extracting the signal from the noise as usual. Wall-to-wall SiliconANGLE the cube coverage. I'm John Feria with student men and men doing a keynote analysis from Verner Vogel. Stu, you know Vernor's, they always, they always got the disc, the format jazzy kicks it off. You get the partner thing on day two and then they say Verner flask could nerd out on all the good stuff. Uh, containers. Coobernetti's all under the hood stuff. So let's jump in a keynote analysis. What's your take? What's Verner's posture this year? What's the vibe? What's the overall theme of the keynote? >>Well, well, first of all, John, to answer the question that everybody asks when Werner takes the stage, this year's t-shirt was posse. So Verner usually either has a Seattle band or it's usually a Dutch DJ, something like that. So he always delivers it. The geek crowd there. And really after seeing it of sitting through Werner's keynote, I think everybody walks out with AWS certification because architecturally we dig into all these environments. So right. You mentioned they started out with the master class on how Amazon built their hypervisor. Super important. Nitro underneath is the secret sauce. When they bought Annapurna labs, we knew that those chips would be super important going forward. But this is what is going to be the driver for outposts. It is the outpost is the building block for many of the other services announced this week. And absolutely the number one thing I'm hearing in the ecosystems around outpost but far gate and firecracker micro databases and managing containers. >>Um, they had some enterprises up on stage talking about transformation, picking up on the themes that Andy started with his three hour keynote just yesterday. But um, it's a lighter on the news. One of the bigger things out there is we will poke Amazon about how open and transparent they are. About what they're doing. And one of the things they announced was the Amazon builders library. So it's not just getting up on stage and saying, Hey, we've got really smart people and we architected these things and you need to use all of our tools, but Hey, this is how we do things. Reminded me a little bit of a, you know, just echoes of what I heard from get lab, who of course is fully open source, fully transparent, but you know, Amazon making progress. It's Adrian Cockcroft and that team has moved on open source, the container group. >>I had a great interview yesterday with Deepak saying, and Abby fuller, the container group actually has a roadmap up on containers. They're so sharing a lot of deep knowledge and good customers talk about how they're taking advantage, transforming their business. In serverless, I mean, John, coming out of Andy's keynote, I was like, there wasn't a lot of security and there wasn't a lot of serverless. And while serverless has been something that we know is transforming Amazon underneath the covers, we finally got to hear a little bit more about not just Lambda but yes, Lambda, but the rest of it as to how serverless is transforming underneath. >>You know ain't Jessie's got along three hour keynote, 30 announcements, so he has to cut save some minutes there. So for Verner we were expecting to go in a little bit more deeper dive on this transformational architecture. What did you learn about what they're proposing, what they're saying or continuing to say around how enterprises should be reborn in the cloud? Because that's the conversation here and again, we are, the memes that are developing are take the T out of cloud native. It's cloud naive. If you're not doing it right, you're going to be pretty naive. And then reborn in the cloud is the theme. So cloud native, born in the cloud, that's proven. Reborn in the cloud is kind of the theme we're hearing. Did he show anything? Did he talk about what that architecture is for transformation? Right. >>Did actually, it was funny. I'm in a watching the social stream. While things are going on. There was actually a cube alumni that I follow that we've interviewed at this show and he's like, if we've heard one of these journeys to you know, transformation, haven't we heard them all and I said, you know, while the high level message may be similar is I'm going to transfer math transform, I'm going to use data. When you looked at what they were doing, and this is a significant, you know, Vanguard, you know the financial institutions, Dave Volante commenting that you know the big banks, John, we know Goldman Sachs, we know JP Morgan, these banks that they have huge it budgets and very smart staffs there. They years ago would have said, Oh we don't need to use those services. We'll do what ourselves. Well Vanguard talking about how they're transforming rearchitecting my trip services. >>I love your term being reborn cloud native because that is the architecture. Are you cloud native or I used to call it you've kind of cloud native or kinda you know a little bit fo a cloud. Naive is a great term too. So been digging in and it is resonating is to look, transformation is art. This is not trying to move the organizational faster than it will naturally happen is painful. There's skillsets, there's those organizational pieces. There are politics inside the company that can slow you down in the enterprise is not known for speed. The enterprises that will continue to exist going forward better have taken this methodology. They need to be more agile and move. >>Well the thing about the cloud net naive thing that I like and first of all I agree with reborn in the cloud. We coined the term in the queue but um, that's kinda got this born again kind of vibe to it, which I think is what they're trying to say. But the cloud naive is, is some of the conversations we're hearing in the community and the customer base of these clouds, which is there are, and Jesse said it is Kino. There are now two types of developers and customers, the ones that want the low level building blocks and ones who want a more custom or solution oriented packages. So if you look at Microsoft Azure and Oracle of the clouds, they're trying to appeal to the folks that are classic it. Some are saying that that's a naive approach because it's a false sense of cloud, false sense of security. >>They got a little cloud. Is it really true? Cloud is, it's really true. Cloud native. So it's an interesting confluence between what true cloud is from a cloud native standpoint and yet all the big success stories are transformations not transitions. And so to me, I'm watching this it market, which is going to have trillions of dollars in, are they just transitioning? I old it with a new coat of paint or is it truly a skill, a truly an architectural transformation and does it impact the business model? That to me is the question. What's your reaction to that? >>Yeah, so John, I think actually the best example of that cloud native architecture is the thing we're actually all talking about this week, but is misunderstood. AWS outpost was announced last year. It is GA with the AWS native services this year. First, the VMware version is going to come out early in 2020 but here's why I think it is super exciting but misunderstood. When Microsoft did Azure stack, they said, we're going to give you an availability zone basically in your data center. It wasn't giving you, it was trying to extend the operational model, but it was a different stack. It was different hardware. They had to put these things together and really it's been a failure. The architectural design point of outpost is different. It is the same stack. It is an extension of your availability zone, so don't think of it of I've got the cloud in my data center. >>It's no, no, no. What I need for low latency and locality, it's here, but starting off there is no S3 in it because we were like, wait, what do you mean there's no S3 in it? I want to do all these services and everything. Oh yeah. Your S three bucket is in your local AC, so why would you say it's sharing? If you are creating data and doing data, of course I want it in my S three bucket. You know that, that that makes that no, they're going to add us three next year, but they are going to be very careful about what surfaces do and don't go on. This is not, Oh Amazon announces lots of things. Of course it's on outpost. It has the security, it has the operational model. It fits into the whole framework. It can be disconnected song, but it is very different. >>I actually think it's a little bit of a disservice. You can actually go see the rack. I took a selfie with it and put it out on Twitter and it's cool gear. We all love to, you know, see the rack and see the cables and things like that. But you know, my recommendation to Amazon would be just put a black curtain around it because pay no attention to what's here. Amazon manages it for you and yes, it's Amazon gear with the nitro chip underneath there. So customers should not have to think about it. It's just when they're doing that architecture, which from an application standpoint, it's a hybrid architecture. John, some services stay more local because of latency, but others it's that transformation. And it's moving the cloud, the edge, my data center things are much more mobile. Can you to change and move over? >>Well this spring you mentioned hybrid. I think to me the outpost announcement in terms of unpacking that is all about validation of hybrid. You know, VMware's got a smile on their face. Sanjay Poonen came in because you know Gelson you're kind of was pitching hybrid, you know, we were challenging him and then, but truly this means cloud operations has come. This is now very clear. There's no debate and this is what multi-cloud ultimately will look like. But hybrid cloud and public cloud is now the architecture of the of it. There's no debate because outpost is absolute verification that the cloud operating model with the cloud as a center of gravity for all the reasons scale, lower costs management, but moving the cloud operations on premises or the edge proves hybrid is here to stay. And that's where the money is. >>So John, there's a small nuance I'll say there because hybrid, we often think of public and private as equal. The Amazon positioning is it's outpost. It's an extension of what we're doing. The public cloud is the main piece, the edge and the outposts are just extensions where we're reaching out as opposed to if I look at, you know what VMware's doing, I've got my data center footprint. You look at the HCI solution out there. Outpost is not an HCI competitor and people looking at this misunderstand the fundamental architecture in there. Absolutely. Hybrid is real. Edge is important. Amazon is extending their reach, but all I'm saying is that nuance is still, Amazon has matured their thinking on hybrid or even multi-cloud. When you talk to Andy, he actually would talk about multi-cloud, but still at the center of gravity is the public cloud and the Amazon services. It's not saying that, Oh yeah, like you know, let's wrap arounds around all of your existing, >>well, the reason why I liked the cloud naive, take the T out of cloud native and cloud naive is because there is a lot of negativity around what cloud actually is about. I forget outpost cloud itself, and if you look at like Microsoft for instance, love Microsoft, I think they do an amazing work. They're catching up as fast as they can, but, and they play the car. Well we are large scale too, but the difference between Amazon and Microsoft Azure is very clear. Microsoft's had these data centers for MSN, I. E. browsers, global infrastructure around the world for themselves and literally overnight they have to serve other people. And if you look at Gardner's results, their downtime has been pretty much at an all time high. So what you're seeing is the inefficiencies and the district is a scale for Microsoft trying to copy Amazon because they now have to serve millions of customers anywhere. This is what Jessie was telling me in my one-on-one, which is there's no compression algorithm for experience. What he's basically saying is when you try to take shortcuts, there's diseconomies of scale. Amazon's got years of economies of scale, they're launching new services. So Jesse's bet is to make the capabilities. The problem is Microsoft Salesforce do is out there and Amos can't compete with, they're not present and they're going into their customers think we got you covered. And frankly that's working like real well. >>Yeah. So, so, so John, we had the cube at Microsoft ignite. I've done that show for the last few years. And my takeaway at Microsoft this year was they build bridges. If you are, you know, mostly legacy, you know, everything in my data center versus cloud native, I'm going to build your bridge. They have five different developer groups to work with you where you are and they'll go there. Amazon is a little bit more aggressive with cloud native transformation, you know, you need to change your mindset. So Microsoft's a little bit more moderate and it is safer for companies to just say, well, I trust Microsoft and I've worked with Microsoft and I've got an enterprise license agreement, so I'll slowly make change. But here's the challenge, Don. We know if you really want to change your business, you can't get there incrementally. Transformation's important for innovation. So the battle is amazing. You can't be wrong for betting on either Microsoft or Amazon these days. Architecturally, I think Amazon has clear the broadest and deepest out there. They keep proving some of their environments and it has, >>well the economies of scale versus diseconomies scale discussion is huge because ultimately if Microsoft stays on that path of just, you know, we got a two and they continue down that path, they could be on the wrong side of the history. And I'll tell you why I see that and why I'm evaluating Microsoft one, they have the data center. So can they reach tool fast enough? Can they, can they eliminate that technical debt because ultimately they're, they're making a bet. And the true bet is if they become just an it transition, they in my opinion, will, will lose in the long run. Microsoft's going all in on, Nope, we're not the old guard. We're the new guard. So there's an interesting line being formed too. And if Microsoft doesn't get cloud native and doesn't bring true scale, true reliability at the capabilities of Amazon, then they're just going to be just another it solution. And they could, that could fall right on there, right on their face on that. >>And John, when we first came to this show in 2013 it was very developer centric and could Amazon be successful in wooing the enterprise? You look around this show, the answer was a resounding yes. Amazon is there. They have not lost the developers. They're doing the enterprise. When you talk to Andy, you talked about the bottoms up and the top down leadership and working there and across the board as opposed to Google. Google has been trying and not making great progress moving to the enterprise and that has been challenging. >>Oh, I've got to tell you this too. Last night I was out and I got some really good information on jet eye and I was networking around and kind of going in Cognito mode and doing the normal and I found someone who was sharing some really critical information around Jedi. Here's what I learned around this is around Microsoft, Microsoft, one that Jed ideal without the capabilities to deliver on the contract. This was a direct quote from someone inside the DOD and inside the intelligence community who I got some clear information and I said to him, I go, how's that possible? He says, Microsoft one on the fact that they say they could do it. They have not yet proven any capabilities for Jedi. And he even said quote, they don't even have the data centers to support the deal. So here you have the dynamic we save, we can do it. Amazon is doing it. This is ultimately the true test of cloud naive versus cloud native. Ask the clouds, show me the proof, John, you could do it and I'll go with, >>you've done great reporting on the jet. I, it has been a bit of a train wreck to watch what's going on in the industry with that because we know, uh, Microsoft needs to get a certain certification. They've got less than a year. The clock is ticking to be able to support some of those environments. Amazon could support that today. So we knew when this started, this was Amazon's business and that there was the executive office going in and basically making sure that Amazon did not win it. So we said there's a lot of business out there. We know Amazon doing well, and the government deals Gelsinger was on record from VMware talking about lots of, >>well here's, here's, here's the thing. I also talked to someone inside the CIA community who will tell me that the spending in the CIA is flat. Okay. And the, the flatness of the, of the spending is flat, but the demand for mission support is going exponential. So the cloud fits that bill. On the Jedi side, what we're hearing is the DOD folks love this architecture. It was not jury rig for Amazon's jury rig for the workload, so that they're all worried that it's going to get scuttled and they don't want that project to fail. There's huge support and I think the Jedi supports the workload transformational thinking because it's completely different. And that's why everyone was running scared because the old guard was getting, getting crushed by it. But no one wants that deal to fail. They want it to go forward. So it's gonna be very interesting dynamics do if Microsoft can't deliver the goods, Amazon's back in the driver's seat >>deal. And John, I guess you know my final takeaway, we talked a bunch about outpost but that is a building block, 80 West local zones starting first in LA for the telco media group, AWS wavelength working with the five G providers. We had Verizon on the program here. Amazon is becoming the everywhere cloud and they really, as Dave said in your opening keynote there, shock and awe, Amazon delivers mere after a year >>maybe this logo should be everything everywhere cause they've got a lot of capabilities that you said the everything cloud, they've got everything in the store do great stuff. Great on the keynote from Verner Vogel's again, more technology. I'm super excited around the momentum around Coobernetti's you know we love that they think cloud native is going to be absolutely legit and continue to be on a tear in 2020 and beyond. I think the five G wavelength is going to change the network constructs because that's going to introduce new levels of kinds of policy. Managing data and compute at the edge will create new opportunities at the networking layer, which for us, you know, we love that. So I think the IOT edge is going to be a super, super valuable. We even had Blackberry on their, their car group talking about the software inside the car. I mean that's a moving mobile device of, of of industrial strength is industrial IOT. So industrial IOT, IOT, edge outpost, hybrid dude, we called this what year? Yeah, we call that 2013. >>And John, it's great to help our audience get a little bit more cloud native on their education and uh, you know, make sure that we're not as naive anymore. >>Still you're not naive. You're certainly cloud native, born in the clouds do, it's us born here. Our seventh year here at Amazon web services. Want to thank Intel for being our headline sponsor. Without Intel support, we would not have the two stages and bringing all the wall to wall coverage. Thanks for supporting our mission. Intel. We really appreciate it. Give them a shout out. We've got Andy Jassy coming on for exclusive at three o'clock day three stay with us for more coverage. Live in Vegas for reinvent 2019 be right back.

(upbeat music) >> Okay, welcome to theCUBE everyone. This is a CUBE Conversation here in Palo Alto, California in the CUBE studios. I'm John Furrier, the co-founder of SiliconANGLE media, the host of the CUBE. I'm here with Yinglian Xie. She's the co-founder and CEO of data visor, entrepreneur, former Microsoft researcher. Thanks for joining me in CUBE conversation. >> My great pleasure to be here. >> So I'm excited to chat with you because you've got a really hot company, and a very hot space, but also as an entrepreneur, you're out competing against a huge wave of transformation. You've got big clouds out there, you've got IT enterprises moving to some sort of cloud operating model. You have global IOT market, huge security problem. You guys are trying to solve that with Data Visor, your company. So take me through the journey. First take a minute to explain what Data Visor is, and I want to ask you about how you got into this business, how it started. So what does Data Visor do, first give a one minute overview of the company. >> Sure, so Data Visor is a company that uses the AI machinery and big data, trying to detect and prevent a variety of fraud and abuse problems for all these consumer facing enterprises. So our mission is to really leverage these advance technology that you talk about in many of these, and to help these consumer facing enterprises to establish and restore trust to the end users like you and me, like every one of us. >> Yes, cyber security and security in general is a global issue. I mean, spear phishing is just so effective, you just come in and just send someone a LinkedIn message or an email, they click on a link and you're done. There's not much technology. People are struggling with this, but you guys have a unique approach that you taking with Data Visor so I want to dig into it. But first, how did it all start? When you started this company with your co-founder, did you just wake up one day and say, you know what we're going to go solve the security problems for the world. Where did the idea come from and how did it all start? >> So I would say it's probably, if you look at the background of me and my co-founder, it's probably the natural journey to it, because we actually came from a research and academia background. And me spending seven years of my post doc research in Silicon Valley before starting Data Visor, from there when we joined in 2006, actually it was where we kind of just see this parallel computing paradigm. Like Matt Purdue's paper just got published, and all the data is available, we have all these security problems and at that time we were partnering with a number of large consumer facing groups in Microsoft, and to see how we can use this big data to solve some of the challenges that they face in terms of for example the online fraud and abuse. And also we see the industry and was rapidly getting into the digital era where we have billions of users online, so everybody sees this unique challenge of, they have a variety of vulnerabilities they face, they're trying to bring more rich features to users. At the same time, they see new fraud are coming up also very rapidly. So everybody, when they see new fraud, they are trying to have point solutions. Where they say, let's just tackle this, but then afterwards there's another fraud, or another abuse coming up. >> Throw another tool at em. Build another tool. Buy another tool. >> Exactly. Kind of arms race, where they're being reactive, and catching in a cat and mouse game. So we decided, let's just come to see whether we build something different and leverage the AI machine learning, and then we see what this new cull computing, big data infrastructure can do. So let's build something a little bit more proactive, so that we've been in the security area for so long, that we feel something fundamental that can be a game changer. It's only when we don't make assumptions to see what kind of attacks we want to detect. But be a little bit more open to say, let's try to build something more robust, that can have the ability to automatically discover and detect these new type of unknown attacks more proactively. >> Yinglian, I want to talk about that point, about your time at Microsoft. At that time around 2006, I think it's notable because the environment of Microsoft scale was massive. They were powering, the browsers were everywhere, MSN, the online services that Microsoft had were certainly large scale, but they were built on what I would call gen one internet technology. Databases, big large scale. At the time there, the new entrants, Facebook, otherworlds, they were building all their own tech. So you had kind of the new entrant who had a clean sheet of paper, and they built their own large scale. And we know the history of that, those kinds of companies, that were natively at that time. That's the environment that Microsoft had, that a lot of customers today have. They have technologies that have been around, they have to transform very quickly. So when you learned about some of those data collection capabilities at scale of older technologies, and rushing to a new solution, this is a problem that a lot of end user enterprises have. CIOs, cloud architects, data architects, and they've been operating data warehouses for generations. Big fenced off databases, slow, big data lakes turning into swamps. So that's the current situation, how do you guys speak to that? Because this is the number one challenge we see. Is, I have all this data, I've got a data problem. I'm now full of data, I'm being taken advantage of with the fraud. Whether it's spear phishing or some other scams that are going on with email and all this stuff. How do you guys talk to that customer, that environment? >> You definitely very spot on the challenges and problems that we all face. So while we get into the digital era, everybody has this great sense of trying to collect data and story those data. So that has been, the amount of data we collect is tremendous nowadays. The next step everybody was looking at, the big challenge for us, is how to make value of these in a more effective way. And we also talk about a lot about the AI and machine learning, how they can transform some of the way we do things in the past. The analogy we know is how do we go from the manual driving cars to the self driving era of having all the automation intelligence, and making value out of this. So there are still a lot of challenges that you definitely touch upon. First of all, when they have the data there, does that mean we have the data, we have the data in a consistent, consolidated way. Many times, two different divisions, departments collecting data, they're still in silo mode. So how to bring the data together. And second is, we have the data, we have the computing power, how do we bring the algorithm that operate on top of that the framework to have a system that would let algorithm generating values. Like in the fraud detection space, be able to automatically process huge amount of data, and make decisions in real time. Instantly, detecting these new type of attacks. So we find that's a problem beyond the silo of just an IT problem, or just a data science problem, of just a business problem. So many times these three groups still sort of work separately, but in the end we needed the main knowledge, we need building a system, and we need good data architecture to solve them together. So that's where Datavisor is building a solution, the ecosystem to consider all of this. >> Okay, so let's talk about the ecosystem a little bit later. I want to get to the algorithm piece. That seems to be your secret sauce, right? The algorithms? Is that where the action is for you guys? The secret algorithms or is it setup in the environment first? It kind of makes sense, you've got to set the table first, get the data unified or addressable, and then apply software algorithms to them. That's where the AI comes. What's your secret sauce? >> Yeah, so that's a good question. A lot of our customers ask us the same question, is algorithm your secret sauce? And my answer is kind of partially yes, but also at the same time, not completely. Because we're all catching up very rapidly in algorithm, if you look at the new algorithm being published every year. There's a lot of great ideas out there, great algorithm there. So our unique algorithm is the differentiating technology is called unsupervised machine learning. So unsupervised means we don't need to require customers to have historical loss experience, or need to know the training labels of what past attacks look like. So to proactively discover new type of, unknown type attacks and automate it away. So that's what the algorithm part is, and it has its merit. >> And by the way, people want to know about this machine supervised and unsupervised machine learning, go Google search, there's some papers out there. But I think, most people know this, or might not know it, it's really hard to do unsupervised machine learning because supervised you just tell it what to look for, it finds it. Unsupervised is saying be ready for anything, basically. Oversimplifying. >> Exactly, unsupervised means we want it to make decisions without assumptions. And we want to be able to discover those patterns as the attackers evolve and be very adaptive. So that's definitely a great idea out there. I wouldn't say if you Google, like search unsupervised, and you would find in academia there are published articles about it.6 So I wouldn't say it's a completely new concept, it's a concept out there. >> It's been around for a while, but the compute is the value. Because now you have the computation accelerate all those calculations required that used to be stalling it, from 10 years ago. I mean it's been around for a couple decades. AI and machine learning, but it's been computation intensive. >> Very much so, very much so. So if you look at the gap where that keep the academia side of the world algorithm, to where it's working. It is something similar to deep learning requires a lot more computation complexity compared to the past algorithms. >> Yinglian, I've got to ask you, because this comes up and I'll skip back to the reality of the customer. Because I can geek out on this all day long, I love the conversation, and we should certainly do a follow up on Deep Dive with our team. But the reality is customers have been consolidating and outsourcing IT for generations. And just only few years ago did they wake up, and some woke up earlier than others and said, wow I have no intellectual property, I have no competitive advantage, my IT's all outsourced, I am getting killed with requests for top line revenue growth and I'm getting killed with security breaches, and where's my IT staff. So they don't have the luxury of just turning on a machine learning. Hey, give me some machine learning guys, and solve the problem. That's really hard to setup. You've got to kind of build a trajectory with economies of scale in IT. This is a huge problem. How do you work with companies that just say, look I got security problems but I don't have time or the capability to hire machine learning people, because that's an aspiration, that's not viable, not attainable. What do you say to the customers? Can you still work with those customers, are you a good fit for that kind of environment? Talk about that dynamic, because that seems to happen a lot. >> Yeah, so in that area, you really to bring a solution to solve their problem. Like us today, we have a lot of infrastructure capability, platforms where they can leverage. But you definitely talk about the challenge they face. They don't have people to leverage those underlying primitives and build something to immediately address their business challenges. >> Can you build it for them? >> That's where Datavisor is, to provide the platform and the service to the customers. Where we take data in, and tell them directly all the type of attacks they face, in real time. Constantly, all the time. >> I really want to get your opinion on something that I've been talking about publicly lately, and I've been interviewing folks in the industry about it, because if you look at the graphics market around AI, and nvidia has been doing very, very well. They broke into gaming, obviously is the vertical and using the graphics cards for block chain mining. Then nvidia kind of walked into these new markets because they had purpose built processor for floating point and graphic stuff that was very specialized but now becomes very popular. We're seeing the need for something around data, where you want to have agility, but you also want high performance. So people are making trade offs between agility and high performance and if you ask anyone they'll tell you that I'd love to have more performance in data. So there's no nvidia yet has come out and become the nvidia of data. There's no data processing unit out there yet. This is something that we see a need for. So what you're talking about here is customers have all these demands, it's almost like they need a data processing unit. >> What they need is a solution, like you said, when they have a business solution, they're not looking at something like a generic framework or generic paradigm. They're looking at something to tackle the specific need. For example when we talk about fraud prevention, we're talking about rebuilding a service, the ecosystem that combines the data element, combines the algorithm that address their problem right away. So that's where we talk about with your analogy with nvidia, they want something almost like that chip, directly solve their pain point. >> And that's what you guys are kind of doing, because let me see if I get this right. You guys have this kind of horizontal view of data, but you're going very vertically, and specializing on the vertical markets because that's where the need for the acute nature of the algorithms to be successful. Like say, financial services. Am I getting that right? So it's like horizontally scalable data, but very specialized purpose. >> Exactly. So horizontally scalable data, but then really mine the data and view the algorithms that optimize for the detection of these unknown type of fraud in this area. >> Because they're customized, I mean they have certain techniques that the financial guys will use to attack the banks, right? So you had to be really nimble and agile at the application. >> Right, so when we build the algorithm, we have in mind the specific application we need to target. So you don't want to be over general in the sense that it can do anything, but in the end it does nothing super, super well. So if we are solving that particular fraud detection problem, in the end it needs to be, everything needs to be optimized. The integration with data, the algorithm, the output, the integration with the customer, needs to be optimized for the scenario. In the long run, can it be even generalized. You talked about the agility, and the nimbleness to broaden out to other areas. Then they will say, we are taking approach I would love to see nvidia's approach gradually expanding to other verticals. That is something we are looking from the long term perspective. Our view is that we a layer above all the cloud computing, the data layer. We are the layer that is verticalize position and targeted to solve this specific business issues. And we want to do that really well. Solve that problem one at a time. And then leveraging that algorithm, the underlying infrastructure we built to see whether we can expand that to other verticals, other scenarios. >> So you don't get dependent upon the cloud players? You actually will draft off their success. >> So we leverage the cloud computing era aggressively. Who doesn't in this scenario? It definitely brings the scale, the agility, and the flexibility to expand. And there's a lot of great technology there. >> What do you think about the cloud players? When you look at multiple clouds and hybrid cloud is a trend happening right now. What's your opinion of how that's going? That comes up a lot. CIOs number one channel and cloud architects, and then data architects are all kind of working as the new personas we're seeing. How has the cloud and multi cloud or single cloud approach, for your customers, how do you see that evolving? Because we see trends where, for instance, the Department of Defense, probably going to go all in on Amazon. That's the single cloud solution, but it wasn't sourced as a single cloud. So it turns out that Amazon was better for that, versus spreading things around to multiple clouds. So there's a trade off, what's your thoughts on that as a technologist. >> Well you touched upon an interesting point, because actually, our position is multi cloud. Multi cloud as well as, we support even un-permissed deployment. I will talk about the reason why. The cloud is such a big space, and we see different players there. We definitely see different players, because of their historical working with different vendors, as well as their development you definitely see. Actually our position in this space was driven by the customer need. From that, what we saw is customers have these requirements of their favorite cloud environment. And then there's public cloud verses private cloud. We're not completely there to say there's one cloud that rules all. And you also see some very conservative areas, particularly financial services where their security is really their top priority, they're conservative. And from that perspective, they still are having un-permissed solutions. And we have to be considerate of all these different requirements. And also when we look at evolvement, we also see different geographic landscapes have different cloud deployment landscapes as well. And it's a dynamic environment. >> It's a new dynamic. >> It's a new dynamic. >> Especially the global component, the regions. >> Exactly, the regions. And the different regions, and we also have the GDPR, where does the data residence problem. So that also makes it also challenging to say, just deploy your solution on one type of cloud, that's a very rigid model. So definitely from very early days, we basically decide our data decision would be, we are going to support multi cloud very early on. >> And it makes sense, because people don't want to move a lot of data around. They're going to want to have data in multiple clouds, if that's where the app is. Latency in the threats around moving packets from point A to point B are a risk too. Not just latency, but hacks. Alright, great. I'm very impressed with your vision. I'm very impressed with what you guys are going. I think it's very relevant. Talk about the business. Where are you guys at in terms of customers, what kind of customers do you have, how many customers, can you talk about some of the metrics. How many customers you have, what kind of customers, what are they doing with you, what are the successes? Can you lay out some of the use cases? >> So we work with many of the largest enterprises in the world, and so the probably also the ones that face a lot of challenge of these large scale fraud at the same time they are the ones aggressively moving forward in adopting new technology solutions. They are a little bit more the early, pioneering, adopters. So our customer can be in three verticals, today. So we take a vertical approach. The first is those large social commerce, like Sector. And some of our customers, for example Yelp, Pinterest, kind of customers. And there is also the second vertical, is those mobile apps. There's a lot of fraudulence in stores, where these mobile apps are trying acquire users aggressively everywhere, but among the users acquired, those in stores there can be substantial amount that is fraudulent. So those are the separate segment we target. And the third segment, we talked about, and you mentioned the financial area, where traditionally people focus on the risk of control, the fraud detection definitely causes a big problem. Their challenge is when they move from the past existing era to the digital era, going online, and a lot of new attacks start coming up, and definitely a huge challenge problem for them as well. >> So you guys have some great funds, you have some great investors. NEA, New Enterprise Associates and sequoia capital. What's the growth plan for you? What's the goal for the company, what's your growth strategy? What's on your mind now? Hiring obviously, customer, what's the focus? What's the growth plan? >> So our focus is, we've been working with many of these large service providers. We mentioned our large enterprise customers. So globally today, we've already been protecting over a full billing end user accounts in total. So it's a lot of users at this moment, for our next step of growth and so we have two thoughts. A is we want to basically make the service even more scalable, and even more standardized in a sense that we can work with more than just the largest ones and be able to make it convenient, to be integrated with as many consumer facing providers. >> To expand the breadth. >> To expand the breadth, yes, of customers that we work with. The second aspect is, when looking at the fraud detection, we feel traditionally when the fraud market is segmented, we talk about when in the offline world, you would see financial sector fraud very different from somebody working on content. Nowadays, we can consolidate it, so in that area we're trying to build a more wholistic ecosystem. Where the device side of solutions and the analytical solutions can be consolidated together, to make it an ecosystem where we can have both sides of use and be able to provide to our customers different kind of needs. In the past, it was very point solutions. You would see data signal providers, then you would see some algorithm providers, and focusing on a specific type of fraud, and we wanted to make an ecosystem, so that, to your point in the past on the data, we will be able to connect the data, look at the use at account level and be able to detect a variety of types of fraud. As the enterprises are pushing out new features, and new flavors of these types. >> And the ecosystem participants will look like what? Ad networks, data services? Who is in the ecosystem that you want to build? >> Yeah, so that's a great question. In the ecosystem we talk about, for example, cull providers, can be an ecosystem basically. They actually power the computation layer, of all the resource there. We can also partner with data partners. That's another important element, so you're looking at technology data systems all integrated together. At the same time we can also look at the consulting firms that bring a bigger solution to the customers with the fraud being an important component that they want to address with system integrators. And so all these can fit together, and even some of the underlying algorithm solutions in the end can be plucked into the ecosystem to provide different aspects of use and make value out of data. So that different algorithms work together, and become defense area. >> It's like a security first strategy. First we had cloud first, data first, now security first. I mean, got to have the security. Well I really appreciate, we need more algorithms to police the algorithms. Algorithms for algorithms. So maybe that's next for you guys. Well with the business goal in mind we always take an open holistic view. I like you talking about security first, when we look at how to solve that problem more effectively, then we are very open minded to say, what is the best combinations we want to be three ultimately. And that's a single bit of real time, instant decision that is important at that time, because that matters with good users friction, they face whether we can be able to accurately detect attackers. So we are all optimizing for that, and then all the underlying data consolidation piece, the algorithm in combination working with each other, is just to make the barrier high, make it difficult for the attackers, and to make all of us good users easier. >> Well you're doing amazing things, and I think you're right. There's value in that data, new ways to use that data for better security is just the beginning of this new trend. Thanks for coming in and sharing your insights and congratulations on a great start up, and good luck to you and you co-founder. Thanks for sharing. >> Thank you, great to have this conversation. I'm here in theCUBE studios in Palo Alto, I'm John Furrier for CUBE Conversation with hot start up Data Visor Yinglian Xie CEO and co-founder. I'm John Furrier, thanks for watching. (bright music)

(upbeat music) >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in our Palo Alto studio this morning for a CUBE Conversation talking about content marketing, attention economy, a lot of really interesting topics that should be top of mind for marketers, that we're in very interesting times on the B2C side and even more, I think, on the B2B side. So we're excited to have Randy Wootton, he's the CEO of Percolate. Randy, great to see you. >> Thanks very much for having me. A real pleasure to be here. >> Absolutely, so for those who aren't familiar, give us kind of the quick and dirty on Percolate. >> Percolate has been around for about seven years. It started as a social media marketing platform. So helping people, helping brands, build their brands on the social landscape, and integrating campaigns to deploy across the different social channels. Over the last couple of years, it's been moving more into the space called content marketing, which is really an interesting new area that marketers are coming to terms with. How do you put together content and orchestrate it across all the different channels. >> And it's interesting, a lot of vocabulary on the website around experiences and content not a lot about products. So how should marketers think and how does experience and content ultimately map back to the products and services you're trying to sell. >> Well, I do think that's a great point. And the distinction between modern brands, who are trying to create relationships with their consumers, rather than pushing products, especially if you're B2B, or technology pushing speeds and feeds. Instead, you are trying to figure out what is going to enable you to create a brand that consumers pull through versus getting pushed at. And so I think the idea around content marketing is that in some ways advertising isn't working anymore. People aren't paying attention to display ads, they're not clicking, they aren't processing the information. But, they are still buying. So the idea for marketers is, how do you get the appropriate content at the right time, to the right person, in their purchase journey. >> Right, and there's so many different examples of people doing new things. There's more conversations kind of, of the persona of the company, of the purpose, purpose driven things, really trying to appeal to their younger employees as well as a younger customer. You have just crazy off the wall things, which never fail to entertain. Like Geico, who seems to break every rule of advertising by having a different theme every time you see a Geico ad. So people are trying humor, they're trying theater, they're trying a lot of things to get through because the tough thing today is getting people's attention. >> I think so, and they talk a lot about the attention economy. That we live in a world of exponential fragmentation. All the information that we are processing across all these different devices. And a brand trying to break through, there's a couple of challenges, one is you have to create a really authentic voice, one that resonates with who you are and how you show up. And then, I think the second point is you recognize that you are co-building the brand with the consumers. It's no longer you build the Super Bowl ad and transmit it on T.V., and people experience your brand. You have this whole unfolding experience in real time. You've seen some of the airlines, for example, that have struggled with the social media downside of brand building. And so how do control, not control, but engage with consumers in a way that feels very authentic and it continues to build a relationship with your consumers. >> Yeah, it's interesting, a lot of things have changed. The other thing that has changed now is that you can have a direct relationship with that consumer whether you want it or not, via social media touches, maybe you were before, that was hidden through your distribution, or you didn't have that, that direct connect. So, you know, being able to respond to this kind of micro-segmentation, it's one thing to talk about micro-segmentation on the marketing side, it's a whole different thing with that one individual, with the relatively loud voice, is screaming "Hey, I need help." >> That's right, and I think there are a couple of things on that point. One is, I've been in technology for 20 years. I've been at Microsoft, I was at Salesforce, I was at AdReady, Avenue A, and Quantive. And now, Rocket Fuel before I came to Percolate. And I've always been wrestling with two dimensions of the digital marketing challenge. One is around consumer identity, and really understanding who the consumer is, and where they've been and what they've done. The second piece is around the context. That is, where they are in the moment, and which device they're on. And so, those are two dimensions of the triangle. The third is the content, or in advertising it's the creative. And that's always been the constraint. You never have enough creative to be able to really deliver on the promise of personalization, of getting the right message to the right person at the right time. And that now is the blockade. That now is the bottleneck, and that now is what brands are really trying to come to terms with. Is how do we create enough content so that you can create a compelling experience for each person, and then if there's someone who is engaging in a very loud voice, how do you know, and how do you engage to sort of address that, but not loose connections with all your other consumers. >> Right, it's interesting, you bring up something, in some of the research, in micro-moments. And in the old days, I controlled all of the information, you had to come for me for the information, and it was a very different world. And now, as you said, the information is out there, there's too much information. Who's my trusted conduit for the information. So by the time they actually get to me, or I'm going to try to leverage these micro-moments, it's not about, necessarily direct information exchange. What are some of these kind of micro-moments, and how are they game changers? >> Well, I think the fact that we can make decisions in near real time. And when I was at Rocket Fuel, we were making decisions in less than 20 milliseconds, processing something like 200 billion bid transactions a day, and so I just think people are not yet aware of the amount, the volume and the velocity of data that is being processed each and every day. And, to make decisions about specific moments. So the two moments I give as examples are: One, I'm sitting at home watching the Oakland Raiders with my two boys, I'm back on the couch and we're watching the game, and Disney makes an advertisement. I'm probably open to a Disney advertisement with my boys next to me, who are probably getting an advertisement at the same time by Disney. I'm a very different person in that moment, or that micro-moment than when I'm commuting in from Oakland to San Francisco on BART, reading the New York Times. I'm not open to a Disney ad at that moment, because I'm concentrating on work, I'm concentrating on the commute. And I think the thing that brands are coming to terms with is, how much am I willing to pay to engage with me sitting on the couch versus me sitting on BART. And that is where the real value comes from, is understanding which moments are the valuable ones. >> So there's so much we can learn from Ad Tech. And I don't think Ad Tech gets enough kind of credit for operating these really large, really hyper speed, really sophisticated marketplaces that are serving up I don't even know how many billions of transactions per unit time. A lot of activity going on. So, you've been in that world for a while. As you've seen them shift from kind of people driving, and buyers driving to more automation, what are some of the lessons learned, and what should learn more from a B2B side from this automated marketplace. >> Well, a couple of things, one is the machines are not our enemies, they are there to enable or enhance our capabilities. Though I do think it's going to require people to re-think work, specifically at agencies, in terms of, you don't need people to do media mixed modeling on the front end in Excel files, instead, you need capacity on the back end after the data has come out, and to really understand the insights. So there is some re-training or re-skilling that's needed. But, the machines make us smarter. It's not artificial intelligence, it's augmented intelligence. I think for B2B in particular what you're finding is, all the research shows that B2B purchasers spend something like 70 or 80% of their time in making the purchase decision before they even engage with the sales rep. And as a B2B company ourselves, we know how expensive our field reps are. And so to make sure that they are engaging with people at the right time, understanding the information that they would have had, before our sales cycle starts, super important. And I think that goes back to the content orchestration, or content marketing revolution that we are seeing now. And, you know, I that there is, when you think about it, most marketers today, use PowerPoint and Excel to have their marketing calendar and run their campaigns. And we're the only function left where you don't have an automated system, like a sales force for marketers, or a service now for marketers. Where a chief of marketing or a SVP of marketing, has, on their phone the tool of record, they system of record that they want to be able to oversee the campaigns. >> Right, although on the other hand, you're using super sophisticated A/B testing across multiple, multiple data sets, rather than doing that purchase price, right. You can test for colors, and fonts, and locations. And it's so different than trying to figure out the answer, make the investment, blast the answer, than this kind of DevOps way, test, test, test, test, test, adjust, test, test, test, test, adjust. >> You're absolutely right, and that's what, at Rocket Fuel, and any real AI powered system, they're using artificial intelligence as the higher order, underneath that you have different categories, like neural networks, deep learning and machine learning. We were using a logistic regression analysis. And we were running algorithms 27 models a day, every single day, that would test multiple features. So it wasn't just A/B testing, it was multi variant analysis happening in real time. Again, the volume and velocity of data is beyond human comprehension, and you need the machine learning to help you make sense of all that data. Otherwise, you just get overwhelmed, and you drown in the data. >> Right, so I want to talk a little bit about PNG. >> I know they're close and dear to your heart. In the old days, but more recently, I just want to bring up, they obviously wield a ton of power in the advertising spin campaign. And they recently tried to bring a little bit more discipline and said, hey we want tighter controls, tighter reporting, more independent third party reporting. There's this interesting thing going now where before, you know, you went for a big in, 'causethen you timed it by some conversion rating you had customers at the end. But now people it seems like, are so focused on the in kind of forgetting necessarily about the conversion because you can drive promoted campaigns in the social media, that now there's the specter of hmm, are we really getting, where we're getting. So again, the PNG, and the consumer side, are really leading kind of this next revolution of audit control and really closer monitoring to what's happening in these automated ad marketplaces. >> Well, I think what you're finding is, there's digital transformation happening across all functions, all industries. And, I think that in the media space in particular, you're also having an agency business model transformation. And what they used to provide for brands has to change as you move forward. PNG has really been driving that. PNG because of how much money they spend on media, has the biggest stick in the fight, and they've brought a lot of accountability. Mark Pritchard, in particular, has laid down these gauntlets the last couple of years, in terms of saying, I want more accountability, more visibility. Part of the challenge with the digital ecosystem is the propensity for fraud and lack of transparency, 'cause things are moving so quickly. So, the fact, that on one side the machines are working really well for ya, on the other side it's hard to audit it. But PNG is really bringing that level of discipline there. I think the thing that PNG is also doing really well, is they're really starting to re-think about how CPG brands can create relationships with their consumers and customers, much like we were talking about before. Primarily, before, CPG brands would work through distributors and retailers, and not really have a relationship with the end consumer. But now as they've started to build up their first party profiles, through clubs and loyalty programs, they're starting to better understand, the soccer mom. But it's not just the soccer mom, it's the soccer mom in Oakland at 4 o'clock in the afternoon, as she goes to Starbucks, when she's picked up her kids from school. All of those are features that better help PNG understand who that person is, in that context, and what's the appropriate engagement to create a compelling experience. That's really hard to do at the individual level. And when you think about the myriad of brands, that PNG has, they have to coordinate their stories and conversations across all of those brands, to drive market share. >> Yeah, it's a really interesting transformation, as we were talking earlier, I used to joke always, that we should have the underground railroad, from Cincinnati to Silicone Valley to get good product managers, right. 'Cause back in the day you still were doing PRD's and MRD's and those companies have been data driven for a long time and work with massive shares and small shifts in market percentages. But, as you said, they now, they're having to transform still data driven, but it's a completely different set of data, and much more direct set of data from the people that actually consume our products. >> And it's been a long journey, I remember when I was at Microsoft, gosh this would have been back in 2004 or 2005, we were working with PNG and they brought their brands to Microsoft. And we did digital immersions for them, to help them understand how they could engage consumers across the entire Microsoft network, and that would include X-Box, Hotmail at the time, MSN, and the brands were just coming to terms with what their digital strategy was and how they would work with Portal versus how they would work with other digital touchpoints. And I think that has just continued to evolve, with the rise of Facebook, with the rise of Twitter, and how do brands maintain relationships in that context, is something that every brand manager of today is having to do. My father, I think we were chatting a little earlier, started his career in 1968 as a brand manager for PNG. And, I remember him telling the stories about how the disciplined approach to brand building, and the structure and the framework hasn't changed, the execution has, over the last 50 years. >> So, just to bring it full circle before we close out, there's always a segment of marketing that's driven to just get me leads, right, give me leads, I need barcode scans at the conference et cetera. And then there's always been kind of the category of kind of thought leadership. Which isn't necessarily tied directly back to some campaign, but we want to be upfront, and show that we're a leading brand. Content marketing is kind of in-between, so, how much content marketing lead towards kind of thought leadership, how much lead kind of towards, actually lead conversions that I can track, and how much of it is something completely different. >> That's a great question, I think this is where people are trying to come to terms, what is content, long form, short form video. I think of content as being applied across all three dimensions of marketing. One is thought leadership, number two is demand gen, and number three is actualization or enablement in a B2B for your sales folks. And how do you have the right set of content along each of those dimensions. And I don't think they're necessarily, I fundamentally think the marketing funnel is broken. It's not you jump in at the top, and you go all the way to the bottom and you buy. You have this sort of webbed touch of experiences. So the idea is, going back to our earlier conversation, is, who is that consumer, what do you know about him, what is the context, and what's the appropriate form of content for them, where they are in their own buyer journey. So, a UGC video on YouTube may be okay for one consumer in a specific moment, but a short form video may be better for someone else, and a white paper may be better. And I think that people don't necessarily go down the funnel and purchase because they click on a search ad, they instead may be looking at a white paper at the end of the purchase, and so the big challenge, is the attribution of value, and that's one of the things that we're looking at Percolate. Is almost around thinking about it as content insight. Which content is working for whom. 'Cause right now you don't know, and I think the really interesting thing is you have a lot of people producing a lot of content. And, they don't know if it's working. And I think when we talk to marketers, that we hear their teams are producing content, and they want to know, they don't want to create content that doesn't work. They just want a better understanding of what's working, and that's the last challenge in the digital marketing transformation to solve. >> And how do you measure it? >> How do you measure, how do you define it? And categorize it, so that's one of the challenges, we were chatting a little bit before, about what you guys are doing at CUBE, and your clipper technology and how you're able to dis-aggregate videos, to these component pieces, or what in an AI world, you'd call features, that then can be loaded as unstructured data, and you can apply AI against it and really come up with interesting insights. So I think there's, as much as I say, the transformation of the internet has been huge, AI is going to transform our world more than we even can conceive of today. And I think content eventually will be impacted materially by AI. >> I still can't help but think of the original marketing quote, I've wasted half of my marketing budget, I'm just not sure which half. But, really it's not so much the waste as we have to continue to find better ways to measure the impact of all these kind of disparate non-traditional funnel things. >> I think you're right, I think it was Wanamaker who said that. I think your point is spot on, it's something we've always wrestled with, and as you move more into the branding media, they struggle more with the accountability. That's one of the reasons why direct response in the internet has been such a great mechanism, is because it's data based, you can show results. The challenge there is the attribution. But I think as we get into video, and you can get to digital video assets, and you can break it down into its component pieces, and all the different dimensions, all of that's fair game for better understanding what's working. >> Randy, really enjoyed the conversation, and thanks for taking a minute out of your busy day. >> My pleasure, always enjoy it. >> Alright, he's Randy, I'm Jeff, you're watching theCUBE from Palo Alto Studios, thanks for watching. (digital music)

Live from Las Vegas. It's the Cube covering AWS Reinvent 2017 presented by AWS, Intel, and our ecosystem of partners. >> Hello, welcome back. This is live coverage of the Cube's AWS re:Invent 2017. Two sets, a lot of action, day one of three days of wall to wall coverage. I'm John Furrier with my co-host Keith Townsend. Our next guest cube alumni is Yaron Haviv who's the founder and CTO of Iguazio, a hot new start up. And big news coming next. We got a big announcement. In following their work, Yaron, good to see you again. Thanks for coming back on. >> Hi, thanks! >> Hey you got a new shirt. Share that logo there. >> That's nuclio. That's our new serverless brainwork which is open source. Really kicks ass, it's about 100 times faster than Amazon. >> Word says it's 200 times faster. >> Yeah we don't want to shame. >> You set the bar. >> We doing 400,000 events per second on a single process. They do about 2000. Most of the open source project around the same ball park. >> Yaron, I got to get this off the bat. And then we can have a nice discussion afterwards. A pleasant discussion. Serverless. Let's first define what that means. Because there's a bunch of- I can take nuclio, install it in my data center, run it, am I serverless? >> You know so I mean I'm in the serverless working group. >> For CNCF >> for CNCF. And a we had a hot debate between the open source start ups. Doing what is called functional service and Amazon and others trying to push the notion of serverless. Which is serverless stands for server less. Meaning you don't manage server. And the way we position nucleo, it's actually both. Because on one end you can consume it as an open source project. Very easy to download. Single docker instruction and it's up and running unlike some other solutions. And on the other hand you can consume it as something within the Iguazio data platform. There is a slide from Amazon which I really like. Which is about serverless. They show serverless is attached to kinesis, DynaomoDB, S3 and Athena. Four services of data that attach to Lamda. Iguazio has API compatibility with kineses, DynamoDB with S3 and Presto, which is Athena as well. So exactly the same four data services that they position as far as the service ecosystem are supported on our platform. So we provide one platform, all the data services at Amazon has or at least interesting ones, serverless functions which are a hundred times faster, a few more tricks that they don't have-- >> So what is the definition then. In a pithy way, for someone out there who's learning about serverless. What is it? What's the definition? >> So the notion as a developer, you're sort of avoiding IT. You go, open a nice portal, you write the function, or you write your function in a get up repository somewhere. You click on a button and it gets deployed somewhere. Right now you know where it's going to get deployed. In the future, you may not know. >> Instead of an EC2 instance, get that prepared >> It's not really an EC2. >> The old way. The old way was. Right? >> The old way there were infrastructure guys building your EC2 instance, security layers, milware, etc. You go develop on your laptop and then you need to go and conform and all the continuous integration play was very complicated. Serverless comes inherently with scale out without the scale in, with continuous integration. You have versioning for the code. You can downgrade the version, you can upgrade the version. So essentially its a package version of a cloud native solution. That's the general idea. >> So I can do that if I'm doing it and managing it myself. It functions as a server. And if I'm doing it and it's a provided it as a cloud provider as a server, as a service, it's serverless. None of my operations team is dealing with servers. It's just writing code and just go. >> Yeah, you're writing a function. Push commit. You should play with nucleo, not just other things. But you'll see you're writing a function. Even see it has a built in editor. You write, you push deploy and it's already deployed somewhere. >> So give us some perspective before you move on. On the game what the impact is to a developer. Apples to oranges. Our old way you described it, new ways, it sounds easier! What's the impact? Is it time? Money? Can you quantify? >> The biggest challenge for businesses is to transform. I saw an interesting sentence. It's not about digital transformation, it's about businesses that need to work in a digital world. Okay? Because again, most of the communication of customers to businesses is becoming digital. Okay? Whether it's today from mobile apps tomorrow through Alexa. >> As Luke Cerney says, it's all software. Your business is the software. >> It's all about interactive really. Okay. As a business I always position there are two things you need to take care of as a business. One is increasing the revenue. And that's by engaging more customers. And increasing the revenue per customer. How do you engage more customer? Through digital services. Whether it's Twitters or proving a new service through your web portal. And the next thing is how do you generate more revenue from a customer is by showing recommendations. >> Finding more value. >> And the other aspect is operational efficiency. How do you automate your reparations to reduce the cost. You know Amazon uses robots to do the shipping and packing. So their margins can now be lower. So the generator is both those things. Reducing cost is becoming more and more dependent on automation which is digital. And increasing revenue become more about customer engagement which is digital. Okay so now you're a traditional enterprise. And you have your exchange to worry about. And all the legal stuff and the mainframes. But if you're not going to work on the transformation piece. You're going to die. Because some other start up is going to build insurance company which is sort of agile and all that. >> So you made an interesting comment earlier when you were talking about nucleo. And integrating the functions that really matter. The services that matter. Amazon releases 800 new services a year. >> Actually 1300. >> I'm sorry 1300. >> This time less, no? >> Right now they're at 1130 and they expect 1500, 1700 by the end of the year. Two years ago it was like 750 and then the year before that was 600. >> So is that an indicator as to Amazon's leading this race between the big, I don't know, three, four cloud providers. Rack and stack them for us. How do we assess the capability? >> It's a matter of mentality. Okay. Persos thinks like a supermarket. Just like an Amazon market. I could say I need a cover for my iPad. I'm gonna get 100 covers for my iPad. No one really, I need to now choose. So their strategy is we'll put dozens of services that do similar things. One is better at this, one is better at that. We control the market we'll sell more. We have a different approach. We do fewer services but each one sort of kicks ass. Each one is much better, much faster, much better engineered. Okay? This is also why we are on data plus provides 10 different data APIs and not 10 different individual data platforms. >> Alright so let's talk about the scoreboard. Even though they might be thinking about the supermarket. You've got Amazon, Azure Microsoft and Google. I've looked at some of the data. I mean, Microsoft's been international for a while from their MSN business. They now have Skype. They have data centers, they know a little bit about cloud. Amazon's got a lot more services. They support multiple versions of things. Google is kind of non-existent on the scale of comprehensiveness. >> Have you looked at their serverless functions? By the way? >> There's new stuff. Tensorflow, serverless. >> But serverless they only support an OJS. They have very few triggers and it's still defined as beta. >> That's the point, so people are touting my Forbes article. They're touting like a feature. There's a lot more that needs to get done. So the question I have for you is. There's a level of comprehensiveness that you need now. And I know you guys spend a lot of time building your solution. We've talked abut this at our last Cube interview. So the question is the whole MVP cousin, minimal viable product. Is great when you're building a consumer app for an iPhone. But when you start talking about a platform and now cloud. Question to you is there a level of completeness bar to be hurdled over for a legit cloud or cloud player? >> I don't think you need 1000 services to build a good cloud. But you do need a bunch of services. Okay? Now the way we see the world like Satya. Okay? Which is there is a core cloud. But there is sort of a belt around it which is what we call intelligence cloud. We would define ourselves as the intelligence cloud. So if someone is building a machine learning model and it needs a 5 year worth of data. And it just needs to do crawling on top of it. It's not really an interesting problem. It's commoditized, lots of CPO power, object storage. But the bigger challenge is doing game referencing close to the edge. This is what needs to happen in real time. You need fewer services but you need to be real time. >> Smarter integration to do that. Right? I mean. >> You have density problems. You don't have a lot of room to put a 100 servers. It needs to be a lot more integrated. You know look at Azure stack. Their slogan is consistency. Look at a slide that shows which Azure services are part of Azure stack. Less than 20%. Because it's a lot more complicated to take technology design whereas hyper scale and put them on few servers. >> How do customers figure it out? What does a customer do? It's all mind boggling. >> I love that concept of core services and then value around those core services. What are those core services that a cloud must have before I start to invest in that cloud providers strategy? >> So the point again, there's a lot of legacy that you need to grab with you. Especially someone like Amazon. So they have to have VMs and migration services from Oracle, etc. But let's assume I'm a start up and building a new client native applications. Do I need any of that? No. I can probably can do with containers. I don't really need to be VMs. I can use something like cybernetics, I can use sequel databases maybe some like sequel. So I can redesign my application differently with a lot fewer services. The problem for someone like Amazon in order to grow and be a supermarket, you have to have ten of everything. If I'm someone that focus on new applications I don't need so many services and so much legacy. >> Well I'll say one thing. You can call them a supermarket, use that retail analogy, I buy that analogy only to the extent that you used it. But if that's the case, then everyone's hungry for food. And they're the only supermarket in town. >> But Wholefoods maybe less stuff on the shelf. >> Everyone else is like a little hot dog stand compared to the supermarket. Amazon is crushing it. Your thoughts? I say that. Are they kicking ass? >> Obviously Amazon is kicking ass. But I think Azure is ramping up faster. Amazon is generating more alienation among people that they are starting to compete with. You know. >> Azure is copying Amazon. Right? >> Yeah. But they have a different angle. They know how to sell to enterprises. They already have the foot in the door for Office 365. I've talked to a customer. We're going Azure. I say why? >> Together: They've got 365. >> We already certify the security with 365 for us to use Azure it's a- >> Right up until that next breech. >> So the guys owning ITs, it's easier for them to go to Azure. The developers want Amazon. Because Amazon is sexier. >> We got to break. We debated this on the intro segment with he analyst. Question. IT buyers have been driven by a top down CIO driven, CXO driven waterfall, whatever you want to call it, old way. With developers now at the driver's seat, with all of this serverless function, serverless coming around the corner very fast. Are developers driving the buying decisions or not? Or is it IT? The budget's still there. They want to eliminate labor. They want more efficiencies. Are you seeing it again? Will it happen? >> Yeah because we are just in the middle. On one end we're an infrastructure. We're an infrastructure consumed by developers. So we keep on having those challenges within the accounts themselves. IT doesn't get what we're doing. Serverless, and database is serverless. Because they like to build stuff. They want to take the nutanix and take a hundred services on top of it. And it will take them two years to integrate it. By that time the business already moved somewhere else. >> So IT could be a dinosaur like the mainframe? >> Right. I think the smart ITs understand they need to adopt cloud instead of fight it. And more the line further up the step. And that sort of the thing we are trying to provide to them. When you are building stuff you are buying EMC storage. You are not just taking discs. So why do you focus on this low level block storage when you're buying infrastructure. Why no buy database as a service. And then you don't need all the hassle. Streaming is a service. Serverless is a service. And then you don't need all that stack. >> Yaron, you should be our guest analyst. But you're too busy building a company. We're going see you next week in Austin for Cubicon. Congratulations. I know you guys have worked hard. The founder and CTO of Iguazio. You're going to hear a lot about these guys. Smart team. They're either going to go big or go home. I think they're going to go big. Congratulations. More coverage here at AWS Re:Invent after this short break. I'm John Furrier with Keith Townsend.