>>Hey everyone. Welcome back to Miami, Miami Beach. Specifically, not a bad location to have a conference. Lisa Martin here with the Cube live at IFS Unleashed. We're gonna be having a great conversation next about Ization moments of Service Rules. Royces here, as is the C of IFS for aerospace and defense. Scott Camani. Nick Ward joins us as well, the VP of Digital Systems at Roll Royce. Guys, excited to have you on the program and welcome back. >>Thank you very much. Nice to be back. It's >>Been three years since the last IFS show. I love How's Scott? I was talking with Darren Roots earlier today and I said, Well, didn't it used to be IFS world? And he said, Yes. And I said, I love the name. I would love to, to unpack that with your cheek marketing officer because it, there's a lot of, of, of power behind Unleash. A lot of companies do such and such world or accelerate, but we're talking about unleashing the power of the technology to help customers deliver those moments of service. Yes. Love it. So Scott, start us off here. Talk about ization. That's a relatively new term to me. Sure. Help me understand what it means, because IFS is a pioneer in this sense. >>We are. So one of the things that IFS is always trying to do is to try to find a way to help our customers to realize a moment of service. And that moment of service is really when they found the ability to delight their customers. And when we look at the way in which we're trying to drive those business outcomes for our customers, ization seems to be at the core of it. So whether it's the ability for a company to use a product, a service, or an outcome, they're driving ization in a way where they're shaping their business. They're orchestrating their customers and their people and their assets behind a val value chain that helps them to provide a delightful experience for their customers. And with IFS being focused on Lifecycle asset management, we no longer have customers that have to choose from best of suite or best of breed. They can actually have both with ifs. And that's something we're really excited to provide to our customers and more excited for our customers to realize that value with their customers, their partners. Along the way. >>You, you mentioned customer delight and it's a term that we, we all use it, right? But there's so much power and, and capabilities and metrics behind that phrase, customer delight, which will unpack Nick bringing you into the conversation. Talk to us a little bit about what your role is at Rolls Royce. My first thought when I saw you was, oh, the fancy cars, but we're talking about aerospace and the fence, so give us a little bit of a history. >>Okay. So yes, we don't make cars is the first point. So we are, we are power, we do power as a service. So we are most well known, I guess for large aircraft airliners. You know, if you've, if you've flown here to Miami, there's probably a 50 50 chance you've flown on a Rod Roy powered aircraft. Our market segment is what we call wide bodied aircraft where you go on, there's two aisles. So the larger section of the market, and we, we provide power, so we provide the engines, but more importantly, we've been a ization company, a service company for at least two decades. We, we have a, a service relationship we call total care. And the whole idea of total care is, yes, I have my engine, it's on my aircraft, but I take care of it. I make sure it's available to fly when you need to fly it. And all of the things that have to come together to make that happen, it's a service company. >>Service company. Talk to me a little bit about, and I wanna get got your perspective as well, but the relationship that Roll Royce and IFS have this is a little bit unique. >>Well, I can start, but I I think Nick's gonna be better served to tell us about that as our customer. Nick and I actually started this journey about four years ago, and what we did was, is we were working closely with our perspective customer Rolls-Royce identified what they were looking for as a desired business outcome. And then we found a way through the technology and the software that we provide to all of our enterprise customers globally to find a solution that actually helped to provide a, an outcome not only to Rolls-Royce, but also to our collective downstream customers, commercial operators around the globe. So that's where we started the journey and we're continuing our discussions around other solutions, but that's how we started and it's been an incredible partnership. We're so happy and proud to have Nick as a customer and a advocate of all things ifs and I'll let him kind of continue from his point of view how he sees the partnership in the relationship. >>No, thank you Scott. I think we've, we've always, we've valued the kind of relationship that we have because I think IFS has always got Rolls Royce in terms of strategic direction. What do we try to do? I said, we're a service company. You know, we, we are, we have to have a service relationship with our, our customers, our airlines. To have a service relationship, you have to be able to connect to your service customer. And ifs is a big part of how we connect for data. That's how do we understand what the airline is doing with the engines, but it's also how we return data back into the airline. So we are, we're get a very close integrated relation between us, our airlines, through a bridge that, that ifs create through the maintenance product. Got it. So it works really well. >>I I think I'd make one other point. One of the things that we've always focused on is quantifiable business value. The only way a partnership like this could possibly work is if we have a desired business outcome, but if we're providing value, So the value work that we did in conjunction with Rolls Royce and really identifying that helped to support the business case that allowed this partnership to really begin and flourish. So I I, I'd be remiss if I didn't mention that business value element that's really core to everything we do and all the, the conversations that Nick and I have. >>Well, it's all about outcomes. Absolutely. It's all about outcomes. It >>Is, it has to be about, it's about moments of service, right? That's why we're here, right? So perhaps a moment of service for Robs Royce is every time you're a passenger, you're going through the terminal. You expect your aircraft to be there, ready, waiting for you to get on and depart on time. And our moment of service is every aircraft takes off on time, every time we live. When we die by the quality of that statement, how well we live up to that statement, I think I checked this morning, there's something alike, 600 aircraft in the sky right now with Rolls Royce power carrying passengers. All of those passengers have relied on that moment. Service happening regularly like clockwork. Every single time you don't get any forgiveness for a delay, you get very little forgiveness for a cancellation that has to happen. And then so many things have to come together for that to happen. >>Those 600 aircraft, that's maybe 200,000 people right now in the sky, Wow. Those 200,000 people are trying to connect, They're trying to connect with friends, they're trying to connect with loved ones, family, colleagues, whatever the purpose is of that trip. It's really important to them. And we just have to make sure that that happens for us. We've had something like a million flights so far this year, 300 million people relying on that moment of so is happening. So I really resonate with, with the language that Scott users about the importance of sort of that focal point on when does it all come together? It comes together when as a passenger, I get on the plane and it goes and I get no issues. >>Right. Well people don't tolerate fragmented experiences anymore. No, no. I think one of the things that was in short supply during the pandemic was patience and tolerance. Sure. Not sure how much of that's gonna come back, right? But those integrated connected experiences, as you described so eloquently, Nick, those are table stakes for the customers, but also the brands behind them because of customers are unhappy, the churn rates go way up. And you see that reflected in obviously the success of the business and what you guys are doing together is seems to be quite powerful. Now then when you were on the cube with us three years ago in Boston at IFS back then you first introduced the intelligent engine and the Blue Data thread. Let's talk about the intelligent engine. Just give our audience a refresher of what that actually entails. >>So perhaps if we just step one one step back for that, just to understand how this fits in. So Roro is a service organization. We talked about that. What that means is we take a lot of the, the risk and the uncertainty away from our airline customers on the availability, the costs and maintenance effort associated with having a, having a chat engine. These are incredibly complicated and complex and sophisticated pieces of equipment. The most expensive, most sophisticated pieces of an aircraft. Managing that is, is difficult. And every airline does not want to have to focus on that. They wanna focus on being able to get the passenger on the air after, fly it, look after the airframe. So our role in that is to take that risk away, is to manage those engines, look after their health, look after their life, make sure they're available to fly whenever they need to fly. >>So for us to understand that, we then have to have data, we have to understand the state of every engine, where it is, the health of the engine, the life of that engine, what do we need to do next to that engine? And we can't do that unless we have data and that data flows into a digital platform. The intelligent engine, which is our cloud based ai, big data, all of the iot, all of the big buzzwords are there, right? So the data flows into that, that lets us run the models. It lets us understand, I can see something maybe it's a, it's a small issue, but if I leave it alone, it become a bigger issue. And maybe that will cause disruption further down the line. So we need to understand that we need to preempt it. So preemptive predictive maintenance is a, is a big part of the intelligent engine, but it's more than just that. >>It's also, we can understand how that engine is being flown. We can understand is it having a really intense flight? Is it having a more benign, gentle flight? Wow. That change time after the flight, typically after the flight. But what that means is we can then understand, actually we can keep that engine on the wing longer then you might otherwise have to do, If you have no data, you have to be conservative, safety rules, everything. Sure. So data allows you to say, actually I'm being overly conservative in this space. I can get more flying bios, flying hours from my product by extending the interval between maintenance and the intelligent engine has a large part to play in us justifying that we're able to do that. And then the final part that it does is eventually the engine is gonna have to come off from maintenance. >>These things fly 5 million miles between overhauls. You imagine you try to do that in your family car. It's, it doesn't happen. It's incredibly sophisticated thing can fly 5 million miles and then we take it off for a major overhaul. But there are thousands of these engines in the fleet. We have to understand which engine is going to come off when for what reason, and prepare our maintenance network to then receive the engine and deal with it and get it back to the customer. So the intelligent engine has a massive part to play in understanding the maintenance demand that the flying fleet is then creating. >>Wow, that's fascinating. And so you talked about that three years ago. What's next for that? I imagine there's only more evolution that's gonna happen. >>It keeps growing. It keeps growing. It's driven by the data. The more data we have, the more that we can do with that. I think as well that, you know, one of the big places that we've we've gone is you can do as much predictive analytics as you, like, there's a lot of people we'll talk about doing predictive analytics, but if you don't do the hard yards of turning predictive analytics into outcome Yeah. Then what did you get? You, you got a bit of smart advice. So we, we take that maintenance demand, we then have to understand how that drives the orchestration and the management of all the parts, the people, the work scope definition, the allocating an engine into a maintenance slot, exactly when it's gonna go. And what are we gonna do to, how do we control and manage our inventory to make sure that engine is gonna go through. >>How do we then actually execute the work inside our, our our overall shops? How do we get that engine back and and integrate our logistics process. So the intelligent engine is, if you like, the shiny front end of a process, it's all the buzzwords, but actually the hard yards behind the scene is just as if not more important to get right. And again, this is why I really like the moment of service concept. Because without that, the moment of service doesn't happen. The engine's not there, the part wasn't there. The field service maintenance guy wasn't there to go fix it. >>And brands are affected >>An, an aircraft on the ground earns no revenue for anybody. No. It's, it's a cost. It's it's a big sink of cost. It >>Is, it is. Absolutely. >>And you're helping aircraft only earn engines only earn when they fly. Yeah, >>Yeah. Absolutely. And what a fascinating, the intelligent engine. Scott, talk a little bit about, we talking about power, we can't not talk about sustainability. Yes, I understand that IFS has a new inaugural awards program that Rolls Roys was a recipient of the Change for Good sustainability awards. Congratulations. Thank you very much. And to Scott, talk to me a little bit about the Change for Good program sustainability program. What types of organizations across the industries of expertise are you looking for and why does Rules ROY really highlight what a winner embodies? >>So since Darren has joined IFS as the ceo, he's had a lot of intentional areas that we focused on. And sustainability has been one that's at the top of the list. IFS has a US ambassador Lewis Pew, who's our Chief Sustainability officer, and he helps us to provide worldwide coverage of the efforts around sustainability. So it's not just about ifss ability to become a more sustainable organization, but it's the solutions that IFS is putting together in the five verticals that we focus on that can help those organizations achieve a level of sustainability for their, for their downstream customers, their partners, and for their enterprises themselves. So when we look at, you know, the social ability for us to be more conscientious about leaving the world a better place or trying to do our best to leave the world not as bad as we came into it, sustainability is a real focus for us. And, you know, the way in which we can support an organization like Rolls Royce and Nickel obviously share those areas of focus from Rolls Royce. It's a perfect fit. And congratulations again for the award. Thank you. We're, we're, we're so excited to, to have shared that with you. We have some other customers that have achieved it across different categories, but it's an area of current and continuous focus for ifs. >>Nick, talk to us, take us out here as our last question is the, the focus on sustainability at Rolls Royce. Talk to us a little bit about that and what some of the major efforts are that you've got underway. >>I think, you know, very similar as, as, as Scott taught there, the focus within Rolls Royce as a strategic group level is really high aviation particularly, I mean we're a, we're an engineering company. We're a power company. Power inherently consumes natural resources. It tends to generate climate affecting outcomes. But at the same time, we are an innovative organization and if anybody's gonna help solve climate challenges, it's gonna be organizations like Rolls Royce who are able to bring different technologies into the market. So we have a responsibility to manage and, and optimize the behavior of our, our existing product suite. But we also have a, a vested interest in trying to move aviation on into the next, the next phase. We talk about sustainable aviation. Aviation has to earn the right to exist. People have choices. We've come out of covid, people are used to doing zoom and not flying. >>People are used to doing things when they don't necessarily get on an aircraft and do something. The aviation business always has to earn the right from the public to exist. And increasingly people will make choices about how they fly when they fly, how far they fly based on the sustainability footprint. So it's really important to us to help both our customers operate the aircraft in as sustainable and climate friendly way as we can. It's really important to find those, those balance points between the cost of an operation and it's the impact of an operation. If you go all over and say, I am going to be net, well, not even net to, but zero carbon by almost inference, that means I'm not gonna operate. You have to operate to get to an outcome. But how do I do that? Why I manage my cost, I manage the, the profitability, the organization doing it, right? >>So it has to be financially sustainable, it has to be sustainable for the people operating within it. It has to be sustainable for the planet, right? So we do that in lots of different ways in small places and, and in big places. So small things we do is we help the operator understand if you change your flight profile, you'll generate fewer emissions. You may avoid controls if you flying a different way, maybe you create trails, you'll lose, you'll lose less fuel while you're doing that. So it's cost effective for you. There was always a balance point there between the wear and tear on the engine versus the, the, the environmental impact. And you find that optimum place. One of the first things we started doing with, with Scott is we have a, a way that we life our engine components. And one of the very simple outcomes of that is using that data, the blue data for connection to the customer. >>If we can see, effectively see inside the engine about how well it's wearing and we can extend those maintenance intervals as we talked about, what that eventually does is it reduces the need to take the engine off, ship it around the world. Probably on a great big 7, 4 7 or maybe year or two ago on an Anson off four big engines flying a long distance trek, shipping our engine to an overhaul facility. We're avoiding something like 200 of those shop visit overhauls a year. So every year that's 200 flights there and back again, which don't happen, right? Collectively that's around about 15,000 automobile equivalent emissions just don't happen. So simple things we can do just starts to have accumulative effect, >>Right? Simple things that you're doing that, that have a huge impact. We could talk for so much longer on stability, I'm sure we're out of time, but I can see why Roll Royce was, was the winner of the Inocular award. Congratulations. Well deserved. Well >>Deserved. I well >>Deserved. So interesting to hear about the intelligent engine. So you're gonna have to come back. Hopefully we'll be here next year and we can hear more of the evolution. Cuz I have a feeling there's never a dual moment in what you're doing. >>It's never a dull moment. There's never an end point. >>No. >>Okay, >>Going Scott, Nick, thank you so much for joining me on the program today. Thank you, Lisa. It's great to have you talk through what's going on at ifx and the partnership with Rolls Royce. We >>Appreciate, and again, Nick, Nick, thank you for your continued support in the partnership. >>I thank you, Scott. We appreciate it. Likewise, thank >>You. Kudos all around. All right, for my guests, I'm Lisa Martin, you're watching a Cube live from Miami. We're at IFS unleashed. We'll be back shortly after a break with our next guests. So stick around.

>>Welcome back to the cubes coverage of splunk.com 21. Finally, some Arten twenty-nine next word Holloway, the director of technology alliances at Z scaler ward. Welcome to the program. >>Thanks for having me great to be here. >>Talk to me a little bit about Zscaler and Splunk working together. How are you helping companies to improve their security posture? >>Yeah, I think, um, you know, we're each, uh, market leaders in our respective areas as these scale are the market leader for cloud delivered security as a service and Splunk is really the market leader in log monitoring and correlation across the entire security environment, uh, really providing their customers deeper insights through zero trust analytics and orchestration, and together our integrated solution protects enterprises from threat campaigns, reduces security operations burdens through automation, and really provides our customers with actionable data much faster than they could do, uh, on their own. >>That actionable data at speed is, is incredibly important. You mentioned zero trust. That's a hot topic right now. Let's dig more into how Z scaler and Splunk handle zero trust. >>Yeah, well, I think first and foremost, um, our integration is cloud native. Um, so you're getting that data in real time and not requiring any on-premise appliances or infrastructure. Um, and that's a real key thing in this cloud enabled cloud-first world that we're all operating in. And by getting that data in quickly to Splunk really enabled, uh, our customers to do some interesting things. Um, we have some prebuilt dashboards, VRR Splunk application, uh, that allows customers to very quickly leverage our data and logs on and give insights into what exactly is going on. And they can view usage, uh, applications threats all immediately. And that data that we're sending to Splunk is, uh, natively configured in splints SIM, uh, logging, uh, protocol. So it natively and easily is, um, leveraged by our users, uh, when they deploy out the Splunk app from Zscaler. >>So what are some of the things that differentiate how's the scalar delivers zero trust network access compared to some of the other guys? >>Well, I think first and foremost, um, zero trust has to enable zero network access. It requires zero access to the network. So you only connect to a particular application, really eliminating the possibility for lateral movement. It's really, uh, like the difference between letting a guest in your office wander around your headquarters on escorted, uh, versus escorting a guest to a meeting room, and then it's scoring them out once the meeting is over. I think the second key really is then also having a zero attack surface. Anything that resolves on the open internet today can be discovered exploited, um, denial of service. This means traditional solutions like firewalls, VPNs, uh, any web portal will that are visible on the internet are ultimately an attack surface, which is really a security risk. Um, if they can find it, if they can discover it, they can attack it. >>If they can't find your application, they can attack it. So that's really the key about a zero trust approach. That's Zscaler takes a, we don't expose anything on the internet and finally we have zero pass-through. So our zero trust exchange, doesn't go through a pass through connection, if utilize as a proxy architecture, which allows you to hold the data, inspect it, and then making a verdict before allowing it to pass. This is really a fundamental key for zero trust, ensure that all connections are secure from threats and data loss, and only allowing things in based on the context of the actual data itself. >>We've seen a massive change in the threat landscape in the last 18, 19 months. I'm wondering what, if you can kind of elaborate on some of the trends from a security perspective, a threat perspective that Zscaler has seen? >>Yeah, I think, um, you know, with the pandemic, obviously, um, it's greatly accelerated, uh, work from home work from anywhere. Um, so users are no longer on their company's corporate networks. Uh, they're working from their homes, they're working from traveling around wherever they might be, uh, in the country. And I think that really has increased, um, the threat attack surface. Um, it's not protected by the traditional security infrastructure that companies have spent years putting in place in their networks because everyone is remote. And we think things like a 500 and 500% increase in ransomware delivered over encrypted channels, for example, uh, and 30% of malware delivered through trusted apps, such as file sharing and collaboration tools. Um, and so ultimately the largest risk is really lateral movement inside of the corporate networks. Uh, once these things get in because traditional approaches such as VPNs are placing the users on the network, uh, and ultimately exposing them to risk. >>You said a 500% increase in ransomware delivered over encrypted channels. That's huge. And that is what, one of the things that we've seen just this year alone is ransomware becoming a household word, everyone understanding what happened with the colonial pipeline, the executive order, that's a huge threat there. And of course, ransomware is also getting more personal. Are you seeing that as well? >>Yeah, definitely. Um, I think again with all of the remote workforce being distributed, um, and no longer protected by the traditional security approaches, um, it's exposing them to this ransomware and it's what attackers are really kind of leaning on to go after, um, these remote users in order to gain access into the corporate infrastructures and ultimately deploy ransomware within those infrastructures. And that's really why zero trust is so important. Zero trust is really the idea of kind of putting an exchange, uh, in the, the cloud itself, so that security is buy all of your users wherever they may be. So regardless of where those users are working, whether it's remotely from home, whether it's traveling at a hotel, uh, whether they've decided to sell everything and get an RV and travel around the country, uh, by placing a zero trust cloud exchange, uh, in place to secure your assets and secure the connections, uh, you're protecting those users wherever they are, and ultimately protecting against that ransomware threat. >>And that's going to be key as this work from anywhere persist for a while. And then eventually there'll be probably some hybrid environment with a good amount of people working remotely and that the need to secure that landscape and deliver that zero trust. Is this going to be table stakes for businesses in any industry? Talk to me about, uh, about digital transformation. We've been talking about that for years now, but what are, how are some of the ways that Z scaler helps your customers? And then what are some of the things that you've seen perhaps accelerate in the last 18, 19 months? >>Yeah, I think we touched on it already. Obviously the pandemic really accelerated the work from anywhere work from our remote, um, dynamic. Um, and I think, uh, you know, that combined with, um, most corporations moving towards embracing the cloud and, uh, software as a service has really accelerated this whole digital transformation movement. Um, and the pandemic has just made it, you know, come to us exceptionally faster. So now that, um, users are working remotely anywhere, and now that your assets are no longer in data centers, but sitting in the cloud, whether it's things like, you know, Workday or Microsoft office 365 or Salesforce or whatever application that you're using, you know, the traditional castle and moat approach to security that we used to take, doesn't really work in this cloud first world. Um, you know, corporations spend a lot of years deploying firewalls, VPNs. DLPs things of that nature in all of the data centers that they physically controlled. >>Uh, and that was great when all of the users were physically at the office and going through that physical infrastructure. But now that the pandemic has accelerated this remote work from anywhere, uh, dynamic, uh, that old castle and load approach doesn't work anymore. So you have these users scattered around, not connecting through your data centers, not connecting through your infrastructure. And the pandemic also really explodes, um, the weakness of that, that model as well. Uh, when everybody got sent home, initially, they were leveraging those VPNs to try to connect back through those legacy data centers and then out the cloud. And we're really experiencing a terrible, uh, experience working in that environment. Uh, the VPNs were overwhelmed. They fell over and a lot of users started just going directly to the cloud themselves. And that's really where you risk this exposure. And this problem with ransomware as they were bypassing traditional security measures, if you had in place and exposing you to a much greater risk. And that's why the zero trust approach that Zscaler takes was much more effective and combined with what we're doing with Splunk really needed to do to get full visibility across that deployed disparate infrastructure, that you have an insight into what those users are doing and the ability to automatically react to it with the integration that we have with Splunk, sor >>That insight is absolutely critical. You talked about that rapid scatter to work from home that occurred 18, 19 months ago. And of course we all, all of us workers that were remote and are still remote we're are reliant on SAS tools, collaboration tools, video conferencing. And of course you mentioned a step now 30% of malware is delivered through trusted apps, like collaboration tools. Talk to me about how Zscaler and Splunk are helping customers combat challenges like that as they still are in this dynamic work from anywhere environment. >>Yeah, I think, um, we've got a couple of interesting integrations. Again, first we're automatically sitting the data from, uh, all of our ZScaler's zero trust infrastructure to Splunk, uh, automatically normalized and their SIM format. So it is natively and easily ingested into Splunk. And you start getting actionable insight from that. Uh, once that data is in Splunk and start doing an analysis, um, and seeing what is going on with those users, looking at things like, uh, most hits sites sites that are blocked, uh, any suspicious information that they're starting to see through their analysis and correlation engine. Uh, and they can even take action on that. If they suddenly see users going to known bad malware sites, for example, they can use the Splunk soar integration that we have to call the endpoint detection and response system that they may have in place and block that user from connecting it. So we're giving users full insight into what their user base is doing and the ability to automatically react to that and even block and prevent a bad actions that can ultimately expose them to risk >>The customer example that you can share of how you guys are doing this together. >>Uh, I mean, we have many examples through multiple verticals, be it financial healthcare, uh, manufacturing, uh, there's one insurance company in particular that I can think of that, uh, has integrated the solutions together. And really, as soon as they put the two integrations in place, we're able to identify a number of users that were hitting malicious sites and automatically block and protect those users from going to those sites and eliminating that risk from their environment. >>Excellent. Talk to me about some of the key, uh, pain points that you're solving for and some of the business outcomes that customers can expect working with Zscaler and Splunk. >>Uh, great question. Uh, I think one of the first is the zero trust exchange. The vScaler Habs enables really the much needed modern workplace, um, that COVID is further accelerated. Um, users really can work anywhere, uh, so that they can safely access any application from any network. Uh, whether that location is external, internal on any device. And the exchange really provides consistent security by being the inline policy enforcement point between all devices and services. The other thing that I think is key is users really require a great experience. And so if something goes wrong, you need to be able to quickly figure out what that is. Um, so we're constantly collecting a huge amount of telemetry, uh, to really understand and see exactly what that user experience is like, uh, and what issues they may be having, and really giving you the ability to see those issues before they arise and cause a problem. >>So you can proactively identify them and eliminate them. So they don't cause a problem. Uh, we've been able to allow our customers to roll the solution out and days and even over the weekend in order to get started. And this really allows them to accelerate, implementing zero trust for their organization by ensuring that all traffic for the internet goes through the zero trust exchange first, where it's fully did prepped it in inspected for any threats or data loss. And that's really key. Uh, I think one of the things that's so important in differentiating about what ZScaler's does is we're able to inspect traffic at scale. Uh, we have over 150 points of presence around the world that allows us to inspect all traffic, including SSL, encrypted traffic. So I think that's really a key point to focus on is that, you know, most of the threats that you and I were talking about earlier, especially around ransomware, tend to try to hide themselves, uh, and SSL, encrypted traffic. So whatever solution you want to deploy for CR trust it's imperative, that it has the ability to fully expect SSL traffic at scale, not just a limited subset of that traffic, but all of it, because so much of the threats today are coming, uh, in an encrypted format. >>And that's probably something that I I'm wondering if you, if you're seeing that those threats in terms of the increase and the, and the significance is only going to persist as this work from any more environment does. So how can customers get started with these scaler and Splunk? Where would, where would they start? >>Well, I think, uh, the great thing is, um, if they are a Z scaler customer or a Splunk customer, uh, it's very easy for them just to go to the Splunk app store and download the Zscaler app, uh, to allow them to very quickly and easily integrate the two solutions together. Uh, once they've made that connection, uh, we start automatically sending all of our logging and telemetry data into Splunk, and then they're able to leverage to the Splunk, the infrastructure and the dashboards that we've created to automatically start getting that insight into what's going on within their user community to see what threats are spooling up and to leverage Splunk, soar, to take automated action, to protect and eliminate those threats from their environment. So it's very easy for our users and our customers to get the application up and running quickly and start realizing value from the deployment itself. >>Yeah. You mentioned a stat a minute ago in terms of being able to deploy over the weekend, not fast time to value in this dynamic, uh, landscape where the threats are constantly changing, that that fast time to value is critical for businesses in any industry. >>Yeah, absolutely. Uh, I think that's the key again in this cloud world where you no longer have, uh, everything in your data center, and it's not a very simple and easy process. Just someone down to the data center to deploy a new solution, the solutions that you do choose need to be able to spin up quickly and easily. And that's really what we've built together with our integration with Splunk. Um, it was designed to be easy, quick to deploy and quick to re leverage value from. >>Excellent. Thank you for joining me talking about what Z scaler and Splunk are doing together, how you're helping customers to solve key pain points and that fast time to value that you're delivering. We appreciate your insights and your time. >>Thank you >>For ward Holloway. I'm Lisa Martin. You're watching the cubes coverage of splunk.com 21.

>>Mhm Yes. Hi lisa Martin here with the cube we are covering Dell technologies world, the digital event experience. I have two guests here with me today that are new to the program. So I would like to welcome David Lowe, the Director of product management for Dell Technologies. David. Welcome to the >>program. Hi, how are you >>doing well? And Catherine Ward is here as well, customer experience strategist at Dell Technologies Catherine, it's great to have you join us. Thanks. Happy to be here lisa. So we're talking about embracing as a service. That was a big announcement at Dell Technologies World as we were talking before we went live just a few months ago in the end of 2020 where the new Dell Technologies cloud console was announced. David start with our audience in terms of describing the apex council, what it is when it was launched and give us some color around that. >>Absolutely. Back in october we announced the Dell Technologies cloud console as part of unveiling the apex vision and this was really uh in response to what we heard from our customers about the need to be able to take advantage of cloud and as a service, operating models, being able to take advantage of our products and services around infrastructure in a way that really uh you know, met their needs in terms of the business results that they were trying to drive the kind of flexibility that they needed about how to get those offerings in place and be able to to run them having simplicity and how they managed those offers while also having just a greater degree of control, of course, that's afforded by having infrastructure running on premises versus uh in the public cloud. So with the apex console today, again, we're just listening to what customers say about being able to double down on that vision and provide even more functionality and capabilities on top of additional services that we're making available in the apex console today, >>Captain, let's get some point of view from the customers. David mentioned them a number of times. Obviously this is why you're doing this, but how does apex designed to help simplify operations? What are some of the things that you're hearing from the customer experience about it being able to simplify ops? >>Yeah, absolutely. So we've we've talked to many customers that's part of my team's job to ensure we're delivering a great experience. We've really heard >>that customers >>appreciate that they can now subscribe to services and and that the Dell offers. Um we've heard a lot from customers and sales folks that tells us that not every project they want to do is funded in a complex way. And so one of the great benefits of Dell clouds offers and the apex console is being able to get things in an op X way so they can pay on a subscription, uh sorry, so they can play on a subscription basis uh to meet, you know, their business needs is one major positive that we've been hearing from customers. >>One of the things that I read when apex launched a few months ago was this really as a way to demonstrate cloud as an operating model rather than a destination and lets you get both of your opinions on that and since launched what you thought, David, we'll start with you. >>Yeah, Well that's it's a great it's a great concept that customers really that really resonates with customers. So I mean, you know, cloud as an operating model has been something that many companies have moved towards over the last, you know, 10, 15 years, where there are fundamental characteristics of cloud that are defined as being on demand, being self service, providing easier access with elastic scale and then also just paying for what you use. And and and these are the things that customers really care about. And so as part of the apex vision and unveiling today in the in the apex console where offering services, for example, like apex storage services, where customers will have the ability to subscribe to that service on demand through the Apex Council in a self service way, they'll be able to take advantage of it in a way they pay for what they use because on top of a a committed storage capacity, it's an on demand usage model, uh and they have the ability to come in at any time and increase as their business demands what storage is available to them. So we really are capitalizing on those cloud characteristics that customers want to be able to take advantage of but doing so, you know, on top of uh, infrastructure products from Dell that customers have trusted for decades. >>Right. So one of the things that we've talked about so many times in the last year is the acceleration that we've seen in every industry with perspective digital transformation and seeing so many businesses in every industry pivot multiple times here. And that speed up, you know, like, you know, here we are using SAS applications to communicate and to reach customers. I'd love to know Katherine, what some of the things are that you've learned since the initial launch. Kind of given the interesting times that we're in, what are some of the things that you've learned from customer feedback that are going to be utilized to help uh, uh, kind of modify the product going forward? >>Yeah, absolutely. So one thing is customers echoing David, really value self serve. They want to be able to do things on their time when they want. And one of the great things that customers can do through the console is build solutions, choose services that best meet their needs, they don't have to involve sales, they obviously can if they want to, but they don't have to. And that is a big selling point key, you know, meets a key need of that. We've heard from customers, I'd say. The second thing that we've heard from folks is that they really like how we have set up our role based access >>and identity >>management capabilities. Uh and I'll give you an example, So there are company very large companies, let's say who may have one finance department and they are the only people who are empowered to sign off on orders, let's say. So maybe a more purchaser type role, you may have an entire separate set of folks who are more technical folks who understand how to configure an offer, how to put it all together and those, but those folks can't buy. Um And so we have built in some workflows um to help support those processes that we've heard from customers that they have, and by doing that they can ensure appropriate separation of duties according to their internal policies as well as help them get a handle on unexpected spend from I. T. Services. >>Catherine is really touching on an incredibly important point there that customers over the last 10 years as they've used cloud services from other providers. We know that the democratization of cloud, that said that anybody can come in off the street with a credit card and start using services. That's a great way for people to get up and running. But that also leads to the problem of shadow I. T. It also leads to uh you know, an unbounded expenses and and you know difficulty in managing costs and unpredictable expenditure. So we've seen over time how even other cloud providers have had to come back laser and based on customer feedback, start adding governance, start adding policies, start adding, you know budget management and spend controls, uh Start ensuring that the kind of workflow that Catherine mentioned is in place around uh you know, ordering And we decided to put that in just from day 1. So when customers come to the apex console, they're going to be coming in the context of a company or an organization where there will be users that have specific roles. And as Catherine mentioned, they'll have specific permissions that might align with their particular job function and there will be governance that an administrator can implement to ensure that only certain people can perform certain tasks, which, you know, we already know from customer feedback is incredibly important to give customers that kind of control that they might not get or that they might have been asking for from other cloud providers in order to ensure that this is truly like an enterprise grade level of servants. >>Yeah. And just to play off that David, you know, I've talked also while I also, I talked to customers a lot also make sure I interact quite a bit with our sales team so to get their views as well. And there's a university customer that we have who has this exact problem of shadow it. And they were, their goal was to unify and get all their main campuses on same system, following same policies, same procedures, same infrastructure. Um And one of the key challenges that they have is people, developers get excited, they want to build stuff and they will go to the public cloud, use a credit card for example and just get up and running. And now this company realizes that a those folks kind of going off and doing some of that on their own are actually spending more than their central it spends. So again I think it's a real world problem that we think we're we're well positioned to solve. >>Yeah, those guardrails seem really outstanding for customers to be able to get that. You both mentioned shadow I. T. And that's one of the things that we know so easy to spin up services. But yet you then disconnect I thi from different business units which is always a challenge for organizations. So having the governance and the role based access controls really provides your customers with more of a chance to, as you said I think a minute ago David consume and only pay for what they're consuming but also have that line of sight that visibility across who's using these services. What are we paying? Are we are we getting what we need and are we ensuring that we're getting more control over our environment? I can't even imagine how much more important that is these days with so many people still scattered and remote. >>Yeah and and and and and and it's it's just really part of the whole customer lifecycle as they work with our services. So after customer is able to subscribe to something like apex data storage services and after it has been deployed at their data center they'll be able to come in to the apex council, they'll be able to see information about that subscription and about the infrastructure that they're running including having health monitoring and alerts and be able to see the capacity usage of that service. Uh And with that telemetry and insight then be able to take action. Uh Perhaps as you say to you know either uh you know put in place additional controls within their teams on on spending or consumption or increase the available storage that they have to ensure that it meets uh their business needs. And and as we build out this end and life cycle within the apex console customers will see more and more features coming to help with you know tagging of expenditure for show back purpose is to simplify the way in which uh you know both I. T. Teams and financial uh personnel within a company are able to ensure that they're being responsible and and have that governance over over what's being consumed and spent. >>Yeah. Absolutely critical. Catherine talked to us about for existing Dell customers, how can they access the apex console? What's the what's the process there that you advise? >>Yeah. Great great question. So the good news is if you already have a Dell account, whether you're an existing premier customer or perhaps you visit us through Dell dot com your credentials will work. All you need to do is talk to your sales team, your sales representative and ask them to be enabled and the process typically goes that they will sales will help enable an administrator and from there the administrator at your company can start giving access and assigning those roles as as as you as you need. >>Just a little bit of a pivot on that. And what are we talking about in terms of time frame when we think of cloud services being able to spend them up knowing that there's still so much remote work going on. How quickly can Adele customer follow that process that you just mentioned and activate these services? >>Yeah, that's a great question. So our goal is to be able to, once, you know, we have your interest, we understand what you want to get you equipment and get you up and running within 14 days is our is our goal and our target. Um It's a lot depends on on what the customer needs and if they can get, you know, if they can accept delivery that quickly and all that. But but that is our that's our goal is get you up and running in 14 days. >>Excellent. That time to values David. Go ahead. >>Oh yeah, the the getting access to the council can be can be can be, you know, certainly a lot faster. But as Catherine said, you know, once you get into the console and you want to be able to consume the services, especially for those infrastructure services that are going to show up and be deployed at your data center. Uh You know, we we include features like integrated site survey that customers are going to see shortly when they're able to go through the subscription process and enter information about their physical data center. Maybe uh you know, physical access characteristics or power or networking configurations that they have So that our deployment services team knows what to expect when they show up. We can get everything wrapped and stacked and ready to go put it on the truck and have it uh you know, to the customer as quickly as possible as Catherine said, with the time to value promise of 14 days. >>Excellent. And that fast access last question David, before we wrap up, talk to us about what's next? This was only announced in the last 67 months so lots of Development and progress, lots of customer feedback helping to tune the services. What can customers expect you know going out the rest of 20 calendar year 2021 >>more. Just I mean you know we'll have access for more customers in more countries to be able to consume more services and more capabilities within the console to provide that richer and to end experience today we already have access Uh for the console within 17 countries around the world with customers from the US and. UK. and France and Germany already able to subscribe to certain services. We have access for apex data storage services and other countries uh Coming very soon. Uh So we'll be adding more countries or languages will be adding more services uh in the coming months. And as we alluded to earlier more capabilities to ensure that the end and experience that customers have crosses all of the different boundaries within their organizations and supports all of the different roles who need to be able to come in and do everything from discover services. Subscribe to them, provision, resources, uh manage, operate support and and and build solutions on on top of what they have. So it really is all about ensuring that it's a single consistent and to end life cycle within the apex console. >>Well, that word more was perfect when I said, what's coming next book? And folks expect more? It's like that. But wait, there's >>more. So I'm sure >>folks will will get a lot more information as the event unfolds in the weeks after David and Catherine. Thank you for joining me talking to me about all of the progress that's happened in such a short amount of time with apex concept. We look forward to seeing what's next. >>Thanks lisa. >>Thanks for having us. >>My pleasure for David Lo and Catherine Ward. I'm lisa martin. You're watching the cubes coverage of Dell technologies world, The virtual event experience. Yeah, yeah.

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Okay, welcome back. Everyone's two cubes. Live coverage in Las Vegas. Force plunks dot com This is their annual conference. A 10 year anniversaries. Cubes coverage. For seven years I've been covering this company from Start up the I P O to Grove to now go on to the next level as a leader and security. Our next guest is Scott Ward, principal solutions architect for AWS. Amazon Web service is obsolete, reinvents coming up. I'm sure you're super busy, Scott, but you're here at Splunk dot com there big partner of AWS? Yeah, >>Yeah, definitely. I mean flux. Ah, great partner that we've had a strong relationship was flown for quite a long time. Both sides of the house eight of us and slugger are leaning in thio help add value to our mutual customers, say, even building on that spokesman, a >>longtime customer. And so you guys are really focused on cloud security had your inaugural reinforce event in Boston this year, of which we broadcasted live videos on YouTube, youtube dot com says silken angle interested. But this was really kind of, Ah, watershed moment because it wasn't your classic security show. He was a cloud security. >>Yeah, it was definitely. It was very much focused on just kind of focusing in, and in some ways it actually allowed People who don't normally get to come to a native of this event or focus on security really got deeper into security. Security of us is our top priority, and we want to make sure that our customers really understanding and being able to execute on that and be able to feel confident in what they're doing on running on AWS >>and spunk has become a very successful on. Some people call him the one in the number 1/3 party vendor in security for workload. APS. Elsie Long files it What single FX for Tracing Micro Service's around the corner. A lot of good things there. But as the cloud equation starts to come in, where the operation's need to have security and on premises edge clouds, roll of Amazon and your partner's air super important, you talk about that relationship and how that's evolving. >>Yeah, I don't think you talk about our partners. It's definitely very important, you know, we have, you know, it says lots of different service is on its platform that we allow customers to use. But those partners come in and help fill out the gaps where customers need somebody to be able to provide Maura or Extra, especially look at security so that that shared responsibility model we have, where the top half is the customers responsibility and a lot of flexibility and what they could do. And that means that they can bring in the partners they want, help them to be able to accomplish the things that they wanted to >>tell. What the security hub. Amazon's best security, huh? What's that about? >>Sure, Security Hub is a service that we actually launched out. Reinforce it. Generally available. Then it's focused on really giving customers visibility into high severity security alerts and their compliance status while they're running across. All the eight of US accounts allows them thio, aggregate, prioritize and sort all of this data coming from from multiple data sources, and we talk about those multiple data source. It really is a couple of different areas. Amazon Guard duty and was on inspector names on Macy. Also third party products. If customers using third party security products that can feed into security up to kind of give them that visibility. And then it's also running continuous compliance checks against the customers. AWS account's gonna let them know where they stand when it comes to compliance, where they need to go and correct things with a counter, the resource level. So really, you know, labeling customers to kind of get a lot more visibility and what's going on with US >>environment. We've been covering this and reporting on the story, but Amazon on cloud providers of general Amazon Azure, Google Cloud Platform customers relying more and more on you guys for security. But you have a relationship with slung, say 1/3 party. How did they fit in that a Splunk fit into that security hub model? How's that going? Is just clarified that relationship six. Plunk and Security >>Yes. So when you talk about Splunk in security, if there's actually a couple different angles there, one is Splunk enterprise product. It is a consumer of all the data that is in a customer security have environment so you can feed all that data into the enterprise product. Be able to kind of go ask the questions and take all the data that security provided, as well as all the other data that's unspoken, really be able to get some deep insights and what's going on in your environment. And then on top of that is the Splunk Phantom integration, which I'm really, really excited about. Because spunk is with Fantomas, Long customers actually take action on their security data, so customers have often told us like it's great you're making all this data available to me on I can see it, But what do I actually do with it? What? How am I gonna do something with it? So way advocate a lot for customers to be able to automate what they're doing when it comes to their security findings and get the humans out of the way as much as possible so they can really be adding a lot of value. So security feeds us to phantom and Phantom can run play books that will do as much or as little on that security. Finding data to kind of integrate that finding into the customers operational work flows and collect the right information are hopefully ultimately remediated that security findings so that customers can get some sleep and they can focus on other things that are more important. >>Talk about fancy for a minute, just to kind of change. Usually you mentioned that, obviously, I thought Oliver interview and reinforce. And here recently, he's one of the team's bunked with company. What is wise, faith and so >>popular? I think Phantom is popular because a couple things one. It is allowing customers, too, to resolve, intermediate and address an issue with what works for them and work full that works for them. It's not making them thio clearly fall into a particular box. They can add or remove pieces. The fact that it's it's very python based. It's usually in the security community so that they can probably find Resource is that can actually orchestrate build these playbooks and then then, once the bill playbooks that could reuse those pieces to address other issues or things that are coming up. So I get A allows them to really kind of scale, be able to kind of be able to accomplish these things when it comes to automation and addressing with security alerts as they continue to grow, you know, >>it makes things go faster, frees up people's time for productivity. >>I totally feel that that's That's one of the main reasons that people are looking at this. >>So someone's using Splunk for its own sake. I'm a Splunk customer. Okay, Security hub. Why should I use both? What's sure just clarify that peace >>is a couple of reasons where I would say that somebody would want to use both. One is security. Obvious is the continuous compliance check. So today, security have offers checks based on the Center for Internet Security. Eight of US bench work. So we are continuously running those cheques. There's about 43 rules that we are running. Each of those checks against your AWS accounts or resource is in those accounts until you where you are not in compliance. Get overall score. You could dig into what, what, where you needed to do further there. Security. Look at it's a central integration spot to get stuff into Splunk as well, so you can have guard duty, Macy inspector and third party stuff coming into security help and then you that one stop shop to get all that data into spunk, enterprise or phantom, and then The third thing is the fact that security it gives you that security view across multiple eight of US accounts. You can designate a master account, invite all your other organization accounts to share those findings, and your security team could go into security up and have one view of your overall security landscape. Be able to look at one single piece of glass, but across all of your organizations like those, those are some key value points. I would say that in addition to spunk in a customer might use security. >>Well, Scott's been great insight on thanks for clarifying the Splunk 80 relationship. Let's pretend I'm a customer for a minute. I'm like, Hey, Scott, you're switching Architect. Thanks for the free consulting with you Live on Cube. So I'm a Splunk customer. Log files. I see they got some tracing stuff going cloud native going to the cloud. We're employing Amazon. I'm a buyer customer Splunk And they got a lot of new stuff and seems awesome. Sore identified. 6.0 is out. How do I What do I do? How do I architect my swan give me more headroom? Grow my swung capabilities with same time. Take advantage. All the radios. Goodness. Would you lay that out? >>I would say I would say, You know, I like your spunk. You kind of You know what? You bought spunk for a particular reason. It's there to answer questions. Is there take data and is lying to kind of move forward? I would definitely architectures long to be able to consume as much data as possible. He did. We have lots of different integrations. Consume that. You shouldn't move away from that. So I would definitely use that. I would use security hub for kind of getting that centralization spot for everything related to your eight of us environments that can then be your central spot into a Splunk. You have people that it's really not necessary for them to be in the Splunk. They don't know Splunk security. It might be a good spot for them to actually do some investigations and learn things as well so that they could do their job. And then you really kind of used with deep technology and quarry capability is slowing to kind of do those deeper dives really understanding what's going on in your environment, something you know as a buyer. I think you could use both. And I think there's a there's room for you to kind of take advantage of both and get the best of both worlds. >>It's really exciting with security going on. It's kind of crazy the same time because you have clouds scale. You guys have been led. The market there continue to be leaders in Cloud Cloud scale, Dev ops. Everything else on the roll volume of data is increased so much. You guys just had your inaugural conference reinforced, and I want to get your thoughts on. This is a solution. Architect of someone in the field difference between traditional security chasing the bad guys defending intrusion, detection. All that good stuff. Cloud security because you have all the security shows out. There are s a black hat. Def Con Cloud Security introduces a new element around howto architect solutions. What should people know about the impact of clouds security as they start thinking ballistically around their enterprise, >>right? I think the important thing I think is you know, the things you mentioned. The vulnerability scanning the intrusion detection is all still important in the cloud. I think the key thing that the cloud offers is the fact that you have the ability to now automate and integrate your security teams more tightly with the things that you're doing and you can. Actually, we always talk about the move fast and stay secure. Customers choose eight of us for self service, the elasticity of the price, and you can take advantage of those unless your security can actually keep up with you. So the fact that everything is based on an FBI you could define infrastructure is code. You can actually enforce standards now where they be before you write a line of code in your dad's office Pipeline were actually being able to detect and react to those things all through code and in a consistent way really allows you to be able to look in your security in a different way and take the kind of philosophy and minds that you've always had around security but actually able to do something with it and be able to maybe do the things you've always wanted to do. But I've never had a chance to do so. I think I think security can actually keep up with you and actually help you different. You're different to your business. Even more than maybe it didn't. >>New capabilities are available now with new options. Exactly. Great stuff. Conversations here at dot com for in Vegas Splunk conference. I'll see they're using You guys have reinvent coming up people be their first week of December. You got a music festival to intersect, which is gonna be fun, But I'm not 10 that. Yeah, don't fall over and die from all these. What are you talking about here? What are the key conversations you're having here? Sure. Here at swan dot com, on your booth to customers. What is it? What's the mean? Sure, >>I think the main talking point is and I'm actually presenting it in the breakout theater this afternoon. We're talking about that taking action portion of like, Data's insecurity or data's in eight of us. How do you do something with what are we enable? And how does a partner like Splunk come in? And what is that? Taking action actually looked like to allow you to be able to do things that scale and be able to leverage on take advantage of your precious resource is and use them in the best way possible something. But that's a lot of the conversation that we're having and things that were focused. >>And what do you hope to walk away packs tonight? It's gonna be for people leaving that session. >>I think I think people should should walk away and understand that it is within their reach to be able to actually be able to to kind of have this nirvana of being able to sit to react to security events and not have to have a human engaged in every single thing. It is a crawl, walk, run type approach you're gonna need to figure out. How do I know when I see this one of the things I want to do? How do I automate that? Validate that that's actually true and then implement it and then go back and do the next thing that really like customers to walk away to know that that is possible on that, with a little bit of investment, they can make it happen and that at a certain point it will really have benefits. >>Well, eight of us have been following you guys for eight years of Cuba's will be our ninth year, I think for reinvent been fun to watch Amazon growing. I'm sure they'll be. Thousands of new announcements every year is always away with volume of new stuff. Give a plug for a second on the Amazon partner. Never was your part of your arm and scope of relationships with third party partners how important it is. And what are some of the cool things going on? Sure. So I >>mean the elves on Partner Network we're focused on partnering with, You know, it's really that cell with motion where we're going out and AWS is selling the partners selling. We work with technology providers and solution systems integrators, and we're really focused on just working with them to make sure that the best solution possible is being created four customers so that they could take advantage of the partner solution and the eight of us cloud, and that they're getting some sort of a unique value that they're going to get by using the cloud and that partner solution together to help them be security or or any other sort of area that they feel more confident. That could be more successful in the crowd through a combination of both of us and >>there's a whole team. It's not like a few guys organization, hole or committed. Thio Amazon partners. >>Yes, yes, yes. I mean, you know, I'm one of many solution architects on the part of team way have partner managers. We have market. We have the whole gamut of people that are working globally with our partners to help them really kind of have a great success. And in a great story to tell about >>people throw on foot out there. Amazon doesn't work with partners. Not true. >>We have tens of thousands of partners, and that's my job. I'm working with partners on a daily basis. I would events like this. Someone phone calls I'm providing guidance is very much a core thing that we're focusing on. >>Harder Network has got marketplace. Amazons are really putting. Their resource is behind with mission of helping customs with partners. >>Yes, definitely. And and we do that a lot of our ways way have partners and go through tears way have confidence sees that we actually allow partners to get into, so customers can really go find who's who's the best or who should I be looking at first when I have this particular problem to solve their we've got a security confidence. He may have confidence season really working to help our customers understand. Who are these partners and how can they help that with >>We've been following Terry. Wisest career is an amazing job. No, he's handed the reins over to new new management is gonna chill for awhile. Congratulations on all your success with Amazon and appreciate it. Thanks for Thanks for having me, Scott War Pretty Solutions for AWS Amazon Webster's here inside the Cube at Splunk dot com 10th year of their conference, Our seventh year covering with Cuba, John Kerry will be back with more after this short break.

>>live from Boston, Massachusetts. It's the Q covering I. F s World Conference 2019. Brought to you by I. F s. >>Welcome back to I f s world Everybody, This is David Dante with Paul Dillon and you're watching the Cube, The leader in live tech coverage. Where here from? From the Heinz Auditorium. Nick Ward is here. He's the head of OM Digital Solutions for Rolls Royce and Scott Helmer, president of the F S aerospace and defense. Gentlemen, welcome to the Cube. Thanks for coming on. Thank you. Scott. I want to start with you. We heard a lot about digital transformation. You guys are in the heart of that. Ah, defense. Aerospace is one of those industries that hasn't been dramatically disrupted. Like publishing. Are you seeing taxis? It's a It's a high risk business. It's one that's highly in trench, but it's not safe from disruption. What are the major trends that you're seeing in your space and paint a picture for us? If you would, >>uh, that's a very good question. You're right. The same level of disruption related digital transformation has not yet common aerospace. Defense is that has come to some of the other league leading industries. But this is a whether it's land based operations, naval operations or aircraft operations. This is an asset intensive industry. It's characterized by a very connected network of organizations. Be the manufacturer's operators, subsystem, part suppliers or just maintainers. They stay connected throughout the asset life cycle in its entirety. I f F f s has a portfolio capability. There's four purpose underpinning the critical business processes of those organizations that enables us to be the digital thread to continue the connection of those organizations throughout that outs of life cycle, if you will, that sees this fall come to come to be at the heart of asset lifecycle Management on provides us with the opportunity to inform information insights for our customers. Like return on experience data on aircraft engines where an old GM like Rolls Royce, for example, can harvest that data to analyze the performance of those assets and ultimately optimized thereafter after service offerings. >>Who are the customers? I mean, there's a limited number of companies that make aircraft engines so you don't have a huge domain been numbers of those kinds of companies. But are the customers channel their partners the supply chain network >>Well, the ecosystem is actually large and extensive. They're very recognizable names, and it's certainly an industry that's characterized by significant growth. On the commercial side. Amaro continue is in the midst of a boom and is likely to continue to grow, are expected to continue to grow for at least another decorate decade. And on the defense side, we see military budgets continue or increasingly moving towards sustainment and serve it ization on a performance basis. So the number of organizations that are participating in that value chain whether they're just the upstream, only am so I should just upstream. But the Austrian Williams participate in the design and development are moving into the aftermarket sustainment and service support parts and subsystem supply, or ultimately, third part repair organizations. It's actually quite an extensive network participating in that asset life cycle. >>So, Nick, you know people here Rolls Royce, they think you know the iconic brand. We're gonna talk about cars, talk about your role at Rolls Royce and what's going on in your business. >>So my role I lead our product management function looking are digitally enabled. Service's so for 20 years we've been running a service we call total care. Total care is like a fixed dollar rate. Every time an aircraft flies, we paid a dollar rate for it. Flying. What's really great about that is we're incentivizing. No, I am exactly the same way that airline isn't said device. Keep the aircraft flying. It owns revenue for the airline. It owns revenue for us on that revolutionized relationship between oh am on operator. So within my role, it's about taking four division we call The Intelligent Engine. Intelligent Engine is recognizing the way that digital is starting to pervade the way we think about service is so we've talked about physical engine, big rotating piece of metal that people see service. Is that wrap around that on the digital brain that sits behind all of those sources? That's what we call the intelligent engine. >>Yes, so people sometimes think the mission critic critical piece of air travel is the reservation system. It's not. It's the thinness of the engines available that was lost in critical system, right? You mean like it? If you don't get your reservation Oh, well, somebody else will get it. Not not the end of the world But for the maintenance piece, that's all right. >>Job. You know, our fundamental mission is every rose was powered. Aircraft flies on time every time. All right, there's no disruption. There's no delay that works for the operator, for the airlines are owner of the aircraft. It works for us. And this is why the confluence of our incentives comes together and it really works well. >>So what role has technology played in terms of evolving that that experience? I mean, I'm sure, you know, years ago, it used to be a lot of tribal knowledge. Gut feel. Joe the mechanic really knew his stuff. Etcetera, etcetera, Powers. Technology evolved and changed your your business. >>So you had to go back to the business model, right? So technology should follow. The business model business model is fundamental risk transfer. So we take the risk off cost, fluctuation, availability, whatever it is away from the airline and we take it on to us is the Obama's Rolls Royce said the money's at risk. You gotta get really good forecasting. Four. Custom becomes your core skill almost because you've got to understand all the risk drivers understand how to optimize him, understand out of work around that in order to have a successful business. And you can't forecast without data without digital twins without all I ot and cloud and all the while the enablers allow you to sort of new to new generations of capability. >>So you're forecasting what probability of, ah, component failure, the life of ah, failure. How long it takes to bring stuff back on sure >>cost really on three different levels. So we do an engine forecast which is looking at the health of the life of the components in the engine, looking for any reasons why the engine might be forced off the wing. We're looking at a fleet level. So we're looking at all of the things that might affect the global fleet in terms of maintenance demands need for overhaul of those such things. And we forecast that out after 30 years, really accurately, as an engine leaves the factory, we know pretty much within 90 something percent everything that engine is going to require from the maintenance 20 to 30 years and then a network level. We're forecasting the capacity demand that we then need to meet within our maintenance shops globally. >>Well, He's obviously Paul. Been progress, right? We used to fly with very common four engine plains across the pond right now. Two engines. In fact, you don't want to fly in the four engine to engine more reliable. >>You've You've been a Rolls Royce for over 15 years. What have you seen as a result of all this technology is predicted maintenance technology. What impact is that? Had on equipment of reliability on life cycle on fuel efficiency. >>Huge, huge. I think if you don't have the data and you don't have the digital twin kind of capability behind you, you have to treat every engine like it's the worst engine in the fleet because you don't have the data tell you it isn't right. So everything is treated extremely extreme conservatism. If you have the data and you have the models and you have everything else around you, you treat engines, individuals. They have individual histories, individual configuration, individual experiences. Because of individuals. You tailor your maintenance intervention to keep that engine flying as long as you can on, you don't have to be his conservative. You can weed that conservatism out of the process, and that means it stays on wing 40 50% longer. It's flying for the airline that much longer. Revenues. Passengers are flying. There's less disruption. >>So what do you What do you do with my f s? What's the what's >>So Because we created this intelligent engine kind of next generation leap forward in that capability, we need data. So we have, ah, program we call the Blue Data Threat. The blue data traded in a global initiative that we're rolling through all of our 200 plus airline customers. How do we form a win win transaction with the airlines? Give us better data will make smarter decisions. You'll see less disruption, more availability. We'll share our data. Back with you is an operator. So this is a very simple, very nice cashless transactions. So with my intern X, because we share a number of customers, Scott has got a number of airline customers. Big airline customers were operating the maintenance system. What way do together? Is reform a plug in? It's like for us. We can go to an airline, and we can say you have total care inside to borrow an intel phrase. So he complied into the rosary service is seamlessly automated. The data can flow very little burden or effort on to the I t group of the outline. The data flows into our organization. We do what we do when we can push our date again back into the airline systems with updated form, their availability >>so key to that key to that value, Jane is obviously that common customer base. But critical to the work that Rolls Royce stuns does is the accuracy and reliability of the data They get to inform their own performance analysis and maintenance, availability information and the eye if it's made installed. Base leverage is a very rich data from the return on experience of the engine utilization that Nick and is able to use this part of the Blue data threat offering back to their customers. And together we're able to deliver unprecedented levels of value to airline customers and optimizing the availability of their assets. >>Nick, have you? Are you finding new ways to monetize this data beyond just improving the customer experience, a bond with your customers or their new revenue avenues >>for you? So I think within this is absolutely key that everybody within this transaction recognizes this is this is not a revenue opportunity for Rosa. This is a cashless transactions because there's a lot of sensitivity that data belongs to the airline, right? So you have to be very clear and open. That data is driving Rolls Royce to make internal improvements, so we will save a little bit on our bottom line of delivering the service's they've already bought in order to get better. Outcomes of those service is so It's a little early for the service. You were thinking about >>this a little bit like security. In that sense, you know of bad guys are trying to get there. So So the good guys to share data. It's a cashless transaction, and everybody we >>believe is a market collaboration on data is got to be the way Ford's >>Scott could. You double click on the Ecosystem and A and D, obviously different from the sort of core traditional you know, e r. P world. The importance of the ecosystem may be what it looks like, described the >>That's an insightful question, Dave, certainly the partner ecosystem in inner space and defense is somewhat differentiated. I don't want to go so far as to say that it's unique, but it's somewhat differentiated from Corey RPS. As you duly noted partner, our four persecuted for four purpose capability around the critical process is for manufacturers. Maintainers on, uh, parts and subsystem supply organizations is all the potential, and it's a promise. But that value can only be realized to the collaboration with partners who doom or an aerospace and defense and just support delivery and implementation capability. They provide value added service is around business process, reengineering, change, enablement as well as their partners and co innovation as well. Certainly the collaboration we have with Rolls Royce is certainly a new level of collaboration around innovation that hasn't been seen before. So those partners are critical to our ability to deliver that value to our customers. Secondarily, we have our partners are actually a route to market in the traditional sense of referral system like you would see in Corriere P. But more importantly, as an indirect route to market as channels to their end customers, almost I s v ng. Our capability to support the delivery of service is to their customers. >>So it's the it's the manufacturers of the Plains, For example, it's the airlines themselves. It's manufactured the engine defectors, >>the maintainers. So the M R organizations that do the work around repair, and it's the entire ecosystem of organizations to support the supply chain. Our partners are both in themselves as well as partners in delivering the capability to those organizing. >>And it's a data pipeline throughout that value chain a digital thread that you guys actually have visibility on, correct your value. Add to the and >>we have the opportunity to play a vital role between within that equal system in allowing and enabling the connective ity of that network between Williams and their customers between the operators and their maintainers. For example, we've got a collaboration with an airline right now where we're going to connect them directly with the third party organizations that they rely on for airframe repair. For example, >>I want to ask you about the aerospace business it used to be that used to be a very small market in terms of the number of customers. Now we've got Space X. We've got the private areas, three private aerospace companies. We've got different countries now. India, China getting involved. What impact is that having on your business. >>Certainly we're seeing the emergence of spatial program's playing a taking up a larger share of off of government or public sector budgets. And people are beginning to think about how to leverage or harvest the value from utilization of spatial assets and again are enabling capability. To be a collector of that data and supply it back as an information in sight to those were reliant on the data that is collected is a vital role that we play in that ecosystem. >>So when I was when you were describing the ecosystem value chain, it strikes me that there's there's clearly a whole lot of metrics going on. Are there new levers, new metrics, emerging new levers that you can pull to really drive a flywheel effect in the industry? One of the key key performance indicators that you're really trying to optimize visiting? This is >>Certainly this is certainly an industry that characterizes as an intensive, complex mobile and in this case complex in mobile or a pseudonym for very expensive assets. So everything around availability, reliability are all key drivers are performance indicators of our customers ability to realise the value from those assets and our role in that is to provide them with the information inside to be able to make optimal decisions to maximize that availability. >>Anything you dad, >>I think in this day and age things like technical dispatcher alive. Relative engines is so high, high 99 sort of percentage. You have to start focusing on things like the maintenance costs to achieve that. Driving your maintenance costs down, but still retaining your really high availability. That becomes a really interesting balance. You could have under percent of relevancy. What it's gonna cost a fortune. You don't want that. >>Well, gentlemen, thanks so much for coming on. The cute, really fascinating discussion. Thank you. Great to have you. All right, you're welcome. And keep it right there, buddy. Paul Gill on day Volante from I F s World in Boston. You're watching the Cube right back Right after this short break

(energetic music) >> Live from Las Vegas. It's theCUBE. Covering Dell Technologies World 2019. Brought to you by Dell Technologies and it's Ecosystem Partners. >> Welcome back to theCUBE, the ESPN of tech. I'm your host, Rebecca Knight along with my co-host Stu Miniman. We are here live in Las Vegas at Dell Technologies World, the 10th anniversary of theCUBE being here at this conference. We have two guests for this segment. We have Jeff Woolsey, the Principal Program Manager Windows Server/Hybrid Cloud, Microsoft. Welcome, Jeff. >> Thank you very much. >> And Bob Ward, the principal architect at Microsoft. Thank you both so much for coming on theCUBE. >> Thanks, glad to be here. >> It's a pleasure. Honor to be here on the 10th anniversary, by the way. >> Oh is that right? >> Well, it's a big milestone. >> Congratulations. >> Thank you very much. >> I've never been to theCUBE. I didn't even know what it was. >> (laughs) >> Like what is this thing? >> So it is now been a couple of days since Tatiana Dellis stood up on that stage and talked about the partnership. Now that we're sort of a few days past that announcement, what are you hearing? What's the feedback you're getting from customers? Give us some flavor there. >> Well, I've been spending some time in the Microsoft booth and, in fact, I was just chatting with a bunch of the guys that have been talking with a lot of customers as well and we all came to the consensus that everyone's telling us the same thing. They're very excited to be able to use Azure, to be able to use VMware, to be able to use these in the Azure Cloud together. They feel like it's the best of both worlds. I already have my VMware, I'm using my Office 365, I'm interested in doing more and now they're both collocated and I can do everything I need together. >> Yeah it was pretty interesting for me 'cause VMware and Microsoft have had an interesting relationship. I mean, the number one application that always lived on a VM was Microsoft stuff. The operating system standpoint an everything, but especially in the end using computer space Microsoft and VM weren't necessarily on the same page to see both CEOs, also both CUBE alums, up there talking about that really had most of us sit up and take notice. Congratulations on the progress. >> For me, being in a SQL server space, it's a huge popular workload on VMware, as you know and virtualization so everybody's coming up to me saying when can I start running SQL server in this environment? So we're excited to kind of see the possibilities there. >> Customers, they live in a heterogeneous environment. Multicloud has only amplified that. It's like, I want to be able to choose my infrastructure, my Cloud, and my application of choice and know that my vendors are going to rally around me and make this easy to use. >> This is about meeting our customers where they are, giving them the ability to do everything they need to do, and make our customers just super productive. >> Yeah, absolutely. >> So, Jeff, there's some of the new specific give us the update as to the pieces of the puzzle and the various options that Microsoft has in this ecosystem. >> Well, a lot of these things are still coming to light and I would tell people definitely take a look at the blog. The blog really goes in in depth. But key part of this is, for customers that want to use their VMware, you get to provision your resources using, for example, the well known, well easy to use Azure Infrastructure and Azure Portal, but when it's time to actually do your VMs or configure your network, you get to use all of the same tools that you're using. So your vCenter, your vSphere, all of the things that a VMware administrator knows how to do, you continue to use those. So, it feels familiar. You don't feel like there's a massive change going on. And then when you want to hook this up to your Azure resources, we're making that super easy, as well, through integration in the portal. And you're going to see a lot more. I think really this is just the beginning of a long road map together. >> I want to ask you about SQL 19. I know that's your value, so-- >> That's what I do, I'm the SQL guy. >> Yeah, so tell us what's new. >> Well, you know, we launched SQL 19 last year at Ignite with our preview of SQL 19. And it'll be, by the way, it'll be generally available in the second half of this calendar year. We did something really radical with SQL 19. We did something called data virtualization polybase. Imagine as a SQL customer you connecting with SQL and then getting access to Oracle, MongoDB, Hadoop data sources, all sorts of different data in your environment, but you don't move the data. You just connect to SQL Server and get access to everything in your corporate environment now. We realize you're not just going to have SQL Server now in your environment. You're going to have everything. But we think SQL can become like your new data hub to put that together. And then we built something called big data clusters where we just deploy all that for you automatically. We even actually built a Hadoop cluster for you with SQL. It's kind of radical stuff for the normal database people, right? >> Bob, it's fascinating times. We know it used to be like you know I have one database and now when I talk to customers no, I have a dozen databases and my sources of data are everywhere and it's an opportunity of leveraging the data, but boy are there some challenges. How are customers getting their arms around this. >> I mean, it's really difficult. We have a lot of people that are SQL Server customers that realize they have those other data sources in their environment, but they have skills called TSQL, it's a programming language. And they don't want to lose it, they want to learn, like, 10 other languages, but they have to access that data source. Let me give you an example. You got Oracle in a Linux environment as your accounting system and you can't move it to SQL Server. No problem. Just use SQL with your TSQL language to query that data, get the results, and join it with your structured data in SQL Server itself. So that's a radical new thing for us to do and it's all coming in SQL 19. >> And what it helps-- what really helps break down is when you have all of these disparate sources and disparate databases, everything gets siloed. And one of the things I have to remind people is when I talk to people about their data center modernization and very often they'll talk about you know, I've had servers and data that's 20, 30, even, you know, decades old and they talk about it almost like it's like baggage it's luggage. I'm like, no, that's your company, that's your history. That data is all those customer interactions. Wouldn't it be great if you could actually take better advantage of it. With this new version of SQL, you can bring all of these together and then start to leverage things like ML and AI to actually better harvest and data mine that and rather than keeping those in disparate silos that you can't access. >> How ready would you say are your customers to take advantage of AI and ML and all the other-- >> It's interesting you say that because we actually launched the ability to run R and Python with SQL Server even two years ago. And so we've got a whole new class of customers, like data scientists now, that are working together with DBAs to start to put those workloads together with SQL Server so it's actually starting to come a really big deal for a lot of our community. >> Alright, so, Jeff, we had theCUBE at Microsoft Ignite last year, first time we'd done a Microsoft show. As you mentioned, our 10th year here, at what used to be EMC World. It was Interesting for me to dig in. There's so many different stack options, like we heard this week with Dell Technologies. Azure, I understood things a lot from the infrastructure side. I talked to a lot of your partners, talked to me about how many nodes and how many cores and all that stuff. But very clearly at the show, Azure Stack is an extension of Azure and therefore the applications that live on it, how I manage that, I should think Azure first, not infrastructure first. There's other solutions that extend the infrastructure side, things like WSSD I heard a lot about. But give us the update on Azure Stack, always interest in the Cloud, watching where that fits and some of the other adjacent pieces of the portfolio. >> So the Azure Stack is really becoming a rich portfolio now. So we launched with Azure Stack, which is, again, to give you that Cloud consistency. So you can literally write applications that you can run on premises, you can move to the Cloud. And you can do this without any code change. At the same time, a bunch of customers came to us and they said this is really awesome, but we have other environments where we just simply need to run traditional workloads. We want to run traditional VMs and containers and stuff like that. But we really want to make it easy to connect to the Cloud. And so what we have actually launched is Azure Stack HCI. It's been out about a month, month and a half. And, in fact, here at Dell EMC Dell Technology World here, we actually have Azure Stack HCI Solutions that are shipping, that are on the marketplace right now here are the show as well and I was just demoing one to someone who was blown away at just how easy it is with our admin center integration to actually manage the hyper converged cluster and very quickly and easily configure it to Azure so that I can replicate a virtual machine to Azure with one click. So I can back up to Azure in just a couple clicks. I can set up easy network connectivity in all of these things. And best yet, Dell just announced their integration for their servers into admin center here at Dell Technologies World. So there's a lot that we're doing together on premises as well. >> Okay, so if I understand right, is Dell is that one of their, what they call Ready Nodes, or something in the VxFlex family. >> Yes. >> That standpoint. The HCI market is something that when we wrote about it when it was first coming out, it made sense that, really, the operating system and hypervisor companies take a lead in that space. We saw VMware do it aggressively and Microsoft had a number of different offerings, but maybe explain why this offering today versus where we were five years ago with HCI. >> Well, one of the things that we've been seeing, so as people move to the Cloud and they start to modernize their applications and their portfolio, we see two things happen. Generally, there are some apps that people say hey, I'm obviously going to move that stuff to Azure. For example, Exchange. Office 365, Microsoft, you manage my mail for me. But then there are a bunch of apps that people say that are going to stay on Prem. So, for example, in the case of SQL, SQL is actually an example of one I see happening going in both places. Some people want to run SQL up in the Cloud, 'cause they want to take advantage of some of the services there. And then there are people who say I have SQL that is never, ever, ever, ever, ever going to the Cloud because of latency or for governance and compliance. So I want to run that on modern hardware that's super fast. So this new Dell Solutions that have Intel, Optane DC Persistent Memory have lots of cores. >> I'm excited about that stuff, man. >> Oh my gosh, yes. Optane Persistent Memory and lots of cores, lots of fast networking. So it's modern, but it's also secure. Because a lot of servers are still very old, five, seven, ten years old, those don't have things like TPM, Secure Boot, UEFI. And so you're running on a very insecure platform. So we want people to modernize on new hardware with a new OS and platform that's secure and take advantage of the latest and greatest and then make it easy to connect up to Azure for hybrid cloud. >> Persistent Memory's pretty exciting stuff. >> Yes. >> Actually, Dell EMC and Intel just published a paper using SQL Server to take advantage of that technology. SQL can be I/O bound application. You got to have data and storage, right? So now Dell EMC partnered together with SQL 19 to access Persistent Memory, bypass the I/O part of the kernel itself. And I think they achieved something like 170% faster performance versus even a fast NVNMe. It's a great example of just using a new technology, but putting the code in SQL to have that intelligence to figure out how fast can Persistent Memory be for your application. >> I want to ask about the cultural implications of the Dell Microsoft relationship partnership because, you know, these two companies are tech giants and really of the same generation. They're sort of the Gen Xers, in their 30s and 40s, they're not the startups, been around the block. So can you talk a little bit about what it's like to work so closely with Dell and sort of the similarities and maybe the differences. >> Sure. >> Well, first of all, we've been doing it for, like you said, we've been doing this for awhile. So it's not like we're strangers to this. And we've always had very close collaboration in a lot of different ways. Whether it was in the client, whether it's tablets, whether it's devices, whether it's servers, whether it's networking. Now, what we're doing is upping our cloud game. Essentially what we're doing is, we're saying there is an are here in Cloud where we can both work a lot closer together and take advantage of the work that we've done traditionally at the hardware level. Let's take that engineering investment and let's do that in the Cloud together to benefit our mutual customers. >> Well, SQL Server is just a primary application that people like to run on Dell servers. And I've been here for 26 years at Microsoft and I've seen a lot of folks run SQL Server on Dell, but lately I've been talking to Dell, it's not just about running SQL on hardware, it's about solutions. I was even having discussions yesterday about Dell about taking our ML and AI services with SQL and how could Dell even package ready solutions with their offerings using our software stack, but even addition, how would you bring machine learning and SQL and AI together with a whole Dell comp-- So it's not just about talking about the servers anymore as much, even though it's great, it's all about solutions and I'm starting to see that conversation happen a lot lately. >> And it's generally not a server conversation. That's one of the reasons why Azure Stack HCI is important. Because its customers-- customers don't come to me and say Jeff, I want to buy a server. No, I want to buy a solution. I want something that's pre configured, pre validated, pre certified. That's why when I talk about Azure Stack HCI, invariably, I'm going to get the question: Can I build my own? Yes, you can build your own. Do I recommend it? No, I would actually recommend you take a look at our Azure Stack HCI catalog. Like I said, we've got Dell EMC solutions here because not only is the hardware certified for Windows server, but then we go above and beyond, we actually run whole bunch of BurnInTests, a bunch of stress tests. We actually configure, tune, and tune these things for the best possible performance and security so it's ready to go. Dell EMC can ship it to you and you're up and running versus hey, I'm trying to configure make all this thing work and then test it for the next few months. No, you're able to consume Cloud very quickly, connect right up, and, boom, you got hybrid in the house. >> Exactly. >> Jeff and Bob, thank you both so much for coming on theCUBE. It was great to have you. >> Our pleasure. Thanks for having us. Enjoyed it, thank you. >> I'm Rebecca Knight for Stu Miniman. We will have more of theCUBEs live coverage of Dell Technologies World coming up in just a little bit.

>> Live from Boston, it's theCUBE! Covering IBM Chief Data Officer Summit, brought to you by IBM. >> Welcome back everyone to the IBM CDO Summit and theCUBE's live coverage, I'm your host Rebecca Knight along with my co-host Paul Gillin. We have Joe Selle joining us. He is the Cognitive Solution Lead at IBM. And Thomas Ward, Supply Chain Cloud Strategist at IBM. Thank you so much for coming on the show! >> Thank you! >> Our pleasure. >> Pleasure to be here. >> So, Tom, I want to start with you. You are the author of Risk Insights. Tell our viewers a little bit about Risk Insights. >> So Risk Insights is a AI application. We've been working on it for a couple years. What's really neat about it, it's the coolest project I've ever worked on. And it really gets a massive amount of data from the weather company, so we're one of the biggest consumers of data from the weather company. We take that and we'd visualize who's at risk from things like hurricanes, earthquakes, things like IBM sites and locations or suppliers. And we basically notify them in advance when those events are going to impact them and it ties to both our data center operations activity as well as our supply chain operations. >> So you reduce your risk, your supply chain risk, by being able to proactively detect potential outages. >> Yeah, exactly. So we know in some cases two or three days in advance who's in harm's way and we're already looking up and trying to mitigate those risks if we need to, it's going to be a real serious event. So Hurricane Michael, Hurricane Florence, we were right on top of it and said we got to worry about these suppliers, these data center locations, and we're already working on that in advance. >> That's very cool. So, I mean, how are clients and customers, there's got to be, as you said, it's the coolest project you've ever worked on? >> Yeah. So right now, we use it within IBM right? And we use it to monitor some of IBM's client locations, and in the future we're actually, there was something called the Call for Code that happened recently within IBM, this project was a semifinalist for that. So we're now working with some non-profit groups to see how they could also avail of it, looking at things like hospitals and airports and those types of things as well. >> What other AI projects are you running? >> Go ahead. >> I can answer that one. I just wanted to say one thing about Risk Insights, which didn't come out from Tom's description, which is that one of the other really neat things about it is that it provides alerts, smart alerts out to supply chain planners. And the alert will go to a supply chain planner if there's an intersection of a supplier of IBM and a path of a hurricane. If the hurricane is vectored to go over that supplier, the supply chain planner that is responsible for those parts will get some forewarning to either start to look for another supplier, or make some contingency plans. And the other nice thing about it is that it launches what we call a Resolution Room. And the Resolution Room is a virtual meeting place where people all over the globe who are somehow impacted by this event can collaborate, share documents, and have a persistent place to resolve this issue. And then, after that's all done, we capture all the data from that issue and the resolution and we put that into a body of knowledge, and we mine that knowledge for a playbook the next time a similar event comes along. So it's a full-- >> It becomes machine learning. >> It's a machine learning-- >> Sort of data source. >> It's a full soup to nuts solution that gets smarter over time. >> So you should be able to measure benefits, you should have measurable benefits by now, right? What are you seeing, fewer disruptions? >> Yes, so in Risk Insights, we know that out of a thousand of events that occurred, there were 25 in the last year that were really the ones we needed to identify and mitigate against. And out of those we know there have been circumstances where, in the past IBM's had millions of dollars of losses. By being more proactive, we're really minimizing that amount. >> That's incredible. So you were going to talk about other kinds of AI that you run. >> Right, so Tom gave an overview of Risk Insights, and we tied it to supply chain and to monitoring the uptime of our customer data centers and things like that. But our portfolio of AI is quite broad. It really covers most of the middle and back and front office functions of IBM. So we have things in the sales domain, the finance domain, the HR domain, you name it. One of the ones that's particularly interesting to me of late is in the finance domain, monitoring accounts receivable and DSO, day sales outstanding. So a company like IBM, with multiple billions of dollars of revenue, to make a change of even one day of day sales outstanding, provides gigantic benefit to the bottom line. So we have been integrating disparate databases across the business units and geographies of IBM, pulling that customer and accounts receivable data into one place, where our CFO can look at an integrated approach towards our accounts receivable and we know where the problems are, and we're going to use AI and other advanced analytic techniques to determine what's the best treatment for that AI, for those customers who are at risk because of our predictive models, of not making their payments on time or some sort of financial risk. So we can integrate a lot of external unstructured data with our own structured data around customers, around accounts, and pull together a story around AR that we've never been able to pull before. That's very impactful. >> So speaking of unstructured data, I understand that data lakes are part of your AI platform. How so? >> For example, for Risk Insights, we're monitoring hundreds of trusted news sources at any given time. So we know, not just where the event is, what locations are at risk, but also what's being reported about it. We monitor Twitter reports about it, we monitor trusted news sources like CNN or MSNBC, or on a global basis, so it gives our risk analyst not just a view of where the event is, where it's located, but also what's being said, how severe it is, how big are those tidal waves, how big was the storm surge, how many people were affected. By applying some of the machine learning insights to these, now we can say, well if there are couple hundred thousand people without power then it's very likely there is going to be multimillions of dollars of impact as a result. So we're now able to correlate those news reports with the magnitude of impact and potential financial impact to the businesses that we're supporting. >> So the idea being that IBM is saying, look what we've done for our own business (laughs), imagine what we could do for you. As Inderpal has said, it's really using IBM as its own test case and trying to figure this all out and learning as it goes and he said, we're going to make some mistakes, we've already made some mistakes but we're figuring it out so you don't have to make those mistakes. >> Yeah that's right. I mean, if you think about the long history of this, we've been investing in AI, really, since, depending on how you look at it, since the days of the 90's, when we were doing Deep Blue and we were trying to beat Garry Kasparov at chess. Then we did another big huge push on the Jeopardy program, where we we innovated around natural language understanding and speed and scale of processing and probability correctness of answers. And then we kind of carry that right through to the current day where we're now proliferating AI across all of the functions of IBM. And there, then, connecting to your comment, Inderpal's comment this morning was around let's just use all of that for the benefit of other companies. It's not always an exact fit, it's never an exact fit, but there are a lot of pieces that can be replicated and borrowed, either people, process or technology, from our experience, that would help to accelerate other companies down the same path. >> One of the questions around AI though is, can you trust it? The insights that it derives, are they trustworthy? >> I'll give a quick answer to that, and then Tom, it's probably something you want to chime in on. There's a lot of danger in AI, and it needs to be monitored closely. There's bias that can creep into the datasets because the datasets are being enhanced with cognitive techniques. There's bias that can creep into the algorithms and any kind of learning model can start to spin on its own axis and go in its own direction and if you're not watching and monitoring and auditing, then it could be starting to deliver you crazy answers. Then the other part is, you need to build the trust of the users, because who wants to take an answer that's coming out of a black box? We've launched several AI projects where the answer just comes out naked, if you will, just sitting right there and there's no context around it and the users never like that. So we've understood now that you have to put the context, the underlying calculations, and the assessment of our own probability of being correct in there. So those are some of the things you can do to get over that. But Tom, do you have anything to add to that? >> I'll just give an example. When we were early in analyzing Twitter tweets about a major storm, what we've read about was, oh, some celebrity's dog was in danger, like uh. (Rebecca laughs) This isn't very helpful insight. >> I'm going to guess, I probably know the celebrity's dog that was in danger. (laughs) >> (laughs) actually stop saying that. So we learned how to filter those things out and say what are the meaningful keywords that we need to extract from and really then can draw conclusions from. >> So is Kardashian a meaningful word, (all laughing) I guess that's the question. >> Trending! (all laughing) >> Trending now! >> I want to follow up on that because as an AI developer, what responsibility do developers have to show their work, to document how their models have worked? >> Yes, so all of our information that we provided the users all draws back to, here's the original source, here's where the information was taken from so we can draw back on that. And that's an important part of having a cognitive data, cognitive enterprise data platform where all this information is stored 'cause then we can refer to that and go deeper as well and we can analyze it further after the fact, right? You can't always respond in the moment, but once you have those records, that's how you can learn from it for the next time around. >> I understand that building test models in some cases, particularly in deep learning is very difficult to build reliable test models. Is that true, and what progress is being made there? >> In our case, we're into the machine learning dimension yet, we're not all the way into deep learning in the project that I'm involved with right now. But one reason we're not there is 'cause you need to have huge, huge, vast amounts of robust data and that trusted dataset from which to work. So we aspire towards and we're heading towards deep learning. We're not quite there yet, but we've started with machine learning insights and we'll progress from there. >> And one of the interesting things about this AI movement overall is that it's filled with very energetic people that's kind of a hacker mindset to the whole thing. So people are grabbing and running with code, they're using a lot of open source, there's a lot of integration of the black box from here, from there in the other place, which all adds to the risk of the output. So that comes back to the original point which is that you have to monitor, you have to make sure that you're comfortable with it. You can't just let it run on its own course without really testing it to see whether you agree with the output. >> So what other best practices, there's the monitoring, but at the same time you do that hacker culture, that's not all bad. You want people who are energized by it and you are trying new things and experimenting. So how do you make sure you let them have, sort of enough rein but not free rein? >> I would say, what comes to mind is, start with the business problem that's a real problem. Don't make this an experimental data thing. Start with the business problem. Develop a POC, a proof of concept. Small, and here's where the hackers come in. They're going to help you get it up and running in six weeks as opposed to six months. And then once you're at the end of that six-week period, maybe you design one more six-week iteration and then you know enough to start scaling it and you scale it big so you've harnessed the hackers, the energy, the speed, but you're also testing, making sure that it's accurate and then you're scaling it. >> Excellent. Well thank you Tom and Joe, I really appreciate it. It's great to have you on the show. >> Thank you! >> Thank you, Rebecca, for the spot. >> I'm Rebecca Knight for Paul Gillin, we will have more from the IBM CDO summit just after this. (light music)

>> Narrator: Live from San Jose, in the heart of Silicon Valley, it's theCUBE! Covering Data Works Summit 2017. Brought to you by Hortonworks. >> Welcome back to theCUBE. I'm Lisa Martin with my co-host George Gilbert. We are live on day one of the Data Works Summit in San Jose in the heart of Silicon Valley. Great buzz in the event, I'm sure you can see and hear behind us. We're very excited to be joined by a couple of fellows from IBM. A very longstanding Hortonworks partner that announced a phenomenal suite of four new levels of that partnership today. Please welcome Asad Mahmood, Analytics Cloud Solutions Specialist at IBM, and medical doctor, and Linton Ward, Distinguished Engineer, Power Systems OpenPOWER Solutions from IBM. Welcome guys, great to have you both on the queue for the first time. So, Linton, software has been changing, companies, enterprises all around are really looking for more open solutions, really moving away from proprietary. Talk to us about the OpenPOWER Foundation before we get into the announcements today, what was the genesis of that? >> Okay sure, we recognized the need for innovation beyond a single chip, to build out an ecosystem, an innovation collaboration with our system partners. So, ranging from Google to Mellanox for networking, to Hortonworks for software, we believe that system-level optimization and innovation is what's going to bring the price performance advantage in the future. That traditional seamless scaling doesn't really bring us there by itself but that partnership does. >> So, from today's announcements, a number of announcements that Hortonworks is adopting IBM's data science platforms, so really the theme this morning of the keynote was data science, right, it's the next leg in really transforming an enterprise to be very much data driven and digitalized. We also saw the announcement about Atlas for data governance, what does that mean from your perspective on the engineering side? >> Very exciting you know, in terms of building out solutions of hardware and software the ability to really harden the Hortonworks data platform with servers, and storage and networking I think is going to bring simplification to on-premises, like people are seeing with the Cloud, I think the ability to create the analyst workbench, or the cognitive workbench, using the data science experience to create a pipeline of data flow and analytic flow, I think it's going to be very strong for innovation. Around that, most notable for me is the fact that they're all built on open technologies leveraging communities that universities can pick up, contribute to, I think we're going to see the pace of innovation really pick up. >> And on that front, on pace of innovation, you talked about universities, one of the things I thought was really a great highlight in the customer panel this morning that Raj Verma hosted was you had health care, insurance companies, financial services, there was Duke Energy there, and they all talked about one of the great benefits of open source is that kids in universities have access to the software for free. So from a talent attraction perspective, they're really kind of fostering that next generation who will be able to take this to the next level, which I think is a really important point as we look at data science being kind of the next big driver or transformer and also going, you know, there's not a lot of really skilled data scientists, how can that change over time? And this is is one, the open source community that Hortonworks has been very dedicated to since the beginning, it's a great it's really a great outcome of that. >> Definitely, I think the ability to take the risk out of a new analytical project is one benefit, and the other benefit is there's a tremendous, not just from young people, a tremendous amount of interest among programmers, developers of all types, to create data science skills, data engineering and data science skills. >> If we leave aside the skills for a moment and focus on the, sort of, the operationalization of the models once they're built, how should we think about a trained model, or, I should break it into two pieces. How should we think about training the models, where the data comes from and who does it? And then, the orchestration and deployment of them, Cloud, Edge Gateway, Edge device, that sort of thing. >> I think it all comes down to exactly what your use case is. You have to identify what use case you're trying to tackle, whether that's applicable to clinical medicine, whether that's applicable to finance, to banking, to retail or transportation, first you have to have that use case in mind, then you can go about training that model, developing that model, and for that you need to have a good, potent, robust data set to allow you to carry out that analysis and whether you want to do exploratory analysis or you want to do predictive analysis, that needs to be very well defined in your training stage. Once you have that model developed, then we have certain services, such as Watson Machine Learning, within data science experience that will allow you to take that model that you just developed, just moments ago, and just deploy that as a restful API that you can then embed into an application and to your solution, and in that solution you can basically use across industry. >> Are there some use cases where you have almost like a tiering of models where, you know, there're some that are right at the edge like, you know, a big device like a car and then, you know, there's sort of the fog level which is the, say, cell towers or other buildings nearby and then there's something in the Cloud that's sort of like, master model or an ensemble of models, I don't assume that's like, Evel Knievel would say you know, "Don't try that at home," but sort-of, is the tooling being built to enable that? >> So the tooling is already in existence right now. You can actually go ahead right now and be able to build out prototypes, even full-level, full-range applications right on the Cloud, and you can do that, you can do that thanks to Data Science Experience, you can do that thanks to IBM Bluemix, you can go ahead and do that type of analysis right there and not only that, you can allow that analysis to actually guide you along the path from building a model to building a full-range application and this is all happening on the Cloud level. We can talk more about it happening on on-premise level but on the Cloud level specifically, you can have those applications built on the fly, on the Cloud and have them deployed for web apps, for moblie apps, et cetera. >> One of the things that you talked about is use cases in certain verticals, IBM has been very strong and vertically focused for a very long time, but you kind of almost answered the question that I'd like to maybe explore a little bit more about building these models, training the models, in say, health care or telco and being able to deploy them, where's the horizontal benefits there that IBM would be able to deliver faster to other industries? >> Definitely, I think the main thing is that IBM, first of all, gives you that opportunity, that platform to say that hey, you have a data set, you have a use case, let's give you the tooling, let's give you the methodology to take you from data, to a model, to ultimately that full range application and specifically, I've built some applications specific to federal health care, specifically to address clinical medicine and behavioral medicine and that's allowed me to actually use IBM tools and some open source technologies as well to actually go out and build these applications on the fly as a prototype to show, not only the realm, the art of the possible when it comes to these technologies, but also to solve problems, because ultimately, that's what we're trying to accomplish here. We're trying to find real-world solutions to real-world problems. >> Linton, let me re-direct something towards you about, a lot of people are talking about how Moore's law slowing down or even ending, well at least in terms of speed of processors, but if you look at the, not just the CPU but FPGA or Asic or the tensor processing unit, which, I assume is an Asic, and you have the high speed interconnects, if we don't look at just, you know what can you fit on one chip, but you look at, you know 3D what's the density of transistors in a rack or in a data center, is that still growing as fast or faster, and what does it mean for the types of models that we can build? >> That's a great question. One of the key things that we did with the OpenPOWER Foundation, is to open up the interfaces to the chip, so with NVIDIA we have NVLink, which gives us a substantial increase in bandwidth, we have created something called OpenCAPI, which is a coherent protocol, to get to other types of accelerators, so we believe that hybrid computing in that form, you saw NVIDIDA on-stage this morning, and we believe especially for deploring the acceleration provided for GPUs is going to continue to drive substantial growth, it's a very exciting time. >> Would it be fair to say that we're on the same curve, if we look at it, not from the point of view of, you know what can we fit on a little square, but if we look at what can we fit in a data center or the power available to model things, you know Jeff Dean at Google said, "If Android users "talk into their phones for two to three minutes a day, "we need two to three times the data centers we have." Can we grow that price performance faster and enable sort of things that we did not expect? >> I think the innovation that you're describing will, in fact, put pressure on data centers. The ability to collect data from autonomous vehicles or other N points is really going up. So, we're okay for the near-term but at some point we will have to start looking at other technologies to continue that growth. Right now we're in the throws of what I call fast data versus slow data, so keeping the slow data cheaply and getting the fast data closer to the compute is a very big deal for us, so NAND flash and other non-volatile technologies for the fast data are where the innovation is happening right now, but you're right, over time we will continue to collect more and more data and it will put pressure on the overall technologies. >> Last question as we get ready to wrap here, Asad, your background is fascinating to me. Having a medical degree and working in federal healthcare for IBM, you talked about some of the clinical work that you're doing and the models that you're helping to build. What are some of the mission critical needs that you're seeing in health care today that are really kind of driving, not just health care organizations to do big data right, but to do data science right? >> Exactly, so I think one of the biggest questions that we get and one of the biggest needs that we get from the healthcare arena is patient-centric solutions. There are a lot of solutions that are hoping to address problems that are being faced by physicians on a day-to-day level, but there are not enough applications that are addressing the concerns that are the pain points that patients are facing on a daily basis. So the applications that I've started building out at IBM are all patient-centric applications that basically put the level of their data, their symptoms, their diagnosis, in their hands alone and allows them to actually find out more or less what's going wrong with my body at any particular time during the day and then find the right healthcare professional or the right doctor that is best suited to treating that condition, treating that diagnosis. So I think that's the big thing that we've seen from the healthcare market right now. The big need that we have, that we're currently addressing with our Cloud analytics technology which is just becoming more and more advanced and sophisticated and is trending towards some of the other health trends or technology trends that we have currently right now on the market, including the Blockchain, which is tending towards more of a de-centralized focus on these applications. So it's actually they're putting more of the data in the hands of the consumer, of the hands of the patient, and even in the hands of the doctor. >> Wow, fantastic. Well you guys, thank you so much for joining us on theCUBE. Congratulations on your first time being on the show, Asad Mahmood and Linton Ward from IBM, we appreciate your time. >> Thank you very much. >> Thank you. >> And for my co-host George Gilbert, I'm Lisa Martin, you're watching theCUBE live on day one of the Data Works Summit from Silicon Valley but stick around, we've got great guests coming up so we'll be right back.

>> Host: Live, from Santa Clara, California, it's TheCUBE covering Open Networking Summit 2017. Brought to you by the Linux Foundation. (upbeat music) >> Hey, welcome back everybody, Jeff Frick here with theCUBE. We are coming to the end of day two at Open Networking Summit. We just got here today, it's a great show. Everyone who's talking everything about software-defined networking is here. And along with Scott Raynovich we're joined by Dave Ward, one of the luminaries doing panels, doing keynotes. >> Here we are in TheCUBE. >> And here we are. Dave is the CTO of Engineering and Chief Architect at Cisco Systems. So Dave, great to see you as always. >> Great to see you guys. >> So what's the buzz of the show, you've been here for a couple of days, any surprises? >> No real big surprises to be honest, always there's some great announcements and great launches going on. But really what I'm finding surprising is that this is the sixth year of this conference, can you believe that? So year six from where we started, and I may be the first person to say this, have you ever had anybody in theCUBE today talking about openflow? >> Jeff: No. >> Remember those days? >> Now, nothing against open flow that's not my point, but think about how far we've gone and so. >> Scott: Actually, yeah, Martin was talking about it. >> Course he did. Course he did. He's not going to let it go. (laughter) But love you Martin. But really my point is, look how far we've come in six years. Six years ago we had a protocol, small community, one group working on this stuff, really working in standards, there was no open-source associated with that at that time, now look where we are. Basically the place to do work is now in open-source and come together as a community. So, the buzz for me really is holy shit, this thing is real! There's a lot of people investing a lot of money and time and really trying to work together to improve and build the ecosystem around networking, around network functions, what services are being delivered and building a business off networking again, so networking is back. It's cool again. >> Jeff: Right. Great. And then there's this whole new thing coming down the pike in the form of 5G, and IoT that's just opening up a new opportunity kind of redefine, what are these standards, and how is this going to help push things along? >> Well, it's kind of interesting and so I'm just ripping for a second. When you take a look at where we've come over the last several years and it was SDN controllers and configuring the network. Then it was virtualizing the network. There was a lot of talk yesterday and today about analytics and creating a reactive network. All of that has been built in the those six years and come together in different open-source communities to build those pieces. We've got SDN controllers, projects like OpenDaylight, projects like FD.io, projects like PNDA, P-N-D-A-.io. That's the SDN virtualized network and data analytics piece, but when you get to 5G and IoT, one thing I'll be talking about tomorrow in my keynote, is that there're big blocks missing in the industry. So, let's dial it back to historically, remember when the HVAC contractor logged on to the network and that malware on that laptop stole 70 million credit cards, remember that? >> Yes. >> Still haven't solved that problem yet. And so the reason why I'm bringing this up is what's missing, identity. So we had this notion that networks controlled by IT operators that are going to go in and config and provision that network. Well, we're now to the point where we need to link people and things to be able to drive what that intent is on the network, and whether its buzz words, which is real functionality by the way, of micro-segmentation. HVAC contractor goes into a micro-segment, can't get to the point of sale, can't steal the credit cards. Basic bread and butter stuff we want from the network. This is what SDN is supposed to deliver, virtualized services like firewalls and other sporadic security, we'll just hold that for a second. But that linking of who the person is, what device they're on, where they are on campus, where they are in the world, etc., etc., time of day, whatever the case may be, are now the variables that need to go into the top of this system, into a policy engine that then drives that reactive network. We've made a couple of great strides in six years, but to get to 5G, and in particular to get to IoT, we have to have another couple of major blocks come into the industry to make that work well. Hopefully it's open-source where that's going to go, and it's not just a standards body and not just open-source, cuz we still need things to be manufactured and interoperable and the rest of it. So hopefully these things come together as we've seen the maturing of those two big groups. >> I was going to say, it kind of begs the question, what is the interplay between standards bodies versa or together with open-source projects? Cuz before you didn't really have open-sources standards really set. Set the regs. Now you've got these open-source projects, which have a main channel, they might start forking, there's all kinds of places that they can go, and how do the two kind of work together? >> Well there's been a ton of effort, and coming out of the SDN open-source movement around model-driven networking, and although it sounds kind of geeky, the main way of representing those models is through representation called YANG. The interesting thing about YANG is that's been not only adopted in SDN, as the main object and way of representing the models being converted to network and equipment computes, computers etc. But the IETF has taken that up and really driven a service approach through the IETF which is I want to deliver a VPN service, I want to deliver load engineering on the network versus what we did with SNMP, or what the industry did, which was I'm going to fully distribute this out to all the protocols and all the functions and everybody's going to write a NIB etc., etc. and we know how that turned out. So the craze for model-driven networking, the standards bodies picking this up, IETF, MEF, which is metro ethernet forum, broadband forum, BBF. All these organizations have now taken on that mantra that came out of open-source SDN of model-driven networking and are working towards creating those models so that way we will have a standardized way to program the network. But what's next is the telemetry coming out. Those objects need to be standardized so that way whether it's a Cisco device or somebody else's device, it's actually sending out the same data that can be collected and can be interpreted properly. Does it mean that it's a NIB? Does it mean that it's only going to go over one particular transport? I don't think anybody in the industry really cares whether it's JSON, Google RPC, Protobuffs, Netconf, or any of these pieces, they're all perfectly fine, they have different semantics associated with them, but nonetheless those common objects and common data models have been what has been the key to keeping the industry working together, the common architectural philosophy, and then the standards bodies have thankfully picked that up over the last couple of years. >> Yeah we were talking here earlier, I mean you just threw out a bunch of alphabet soup there and I understand 80% of it, but it does raise the issue we were talking about earlier about these standards development organizations and the IETF, the TM Forum, the MEF. Now we have open-source, so we have the Linux Foundation. We have a lot of these different organizations and I think while you would know better than I as a CTO, people are becoming challenged by tracking and following all this stuff, do you think we need some sort of consolidation of these standards or at least some more unification, we just saw ECOMP and Open-O merge so there seems to be some consolidation. What will we see going forward? What's going to help you as the CTO? >> There's no doubt if there's consolidation, that would be easier to track and easier place to develop, but in reality, Scott, it's 50 shades of YANG. (laughter) >> And the reason why I say that is each and every standards body has done their own specific function, again whether it's Metro Ethernet or its broadband access or its mobility, each one of those standards bodies is redefining themselves to be SDN capable. There's no doubt. If there's a one stop shop, it would be the most optimal way to get something done the fastest, but that's not the way the world works. So actually I think we are going to see a continuous increase of more folks working on this, more foundations being build, etc., etc. Although, what we have witnessed over the last couple days in the last year, is that the communities, the open-source communities in particular, are coming together and trying to integrate the pieces together versus just islands of cool technology that there's a few geeks interested in, no. Thankfully the operators and some enterprises have come in and said I need this stuff to work and I need this stuff to work together and that discipline is actually fundamentally new and different than the way either standards bodies worked or open-source worked in the past. So I'd love to say that there'd be even more consolidation. There's frankly a bit of fatigue over, not saying it's wack-a-mole but you have to chase, you have to really figure out and track where all this stuff is going on in the industry to really keep abreast and understand how wide and how deep it goes. >> It's interesting this trend lately where people are just donating ... The project is just being absorbed into Linux Foundation. So now there's at least kind of a consistency across all these various projects, in terms of the way things are managed, the shows, the communication, and them helping standardize a process to help those projects be more successful in their distribution and adoption in the company. >> Linux Foundation has done the industry a huge service. They understand governance. They've gone through a zillion different experiences of how to build communities. What works well when there's competing factions that need to come together and work, on board marketing team, on board legal team, able to build foundations as necessary, or what's been experimented with over the last couple of years is, if you remember when we started to number these, you need to have a 503C, you need to have a foundation, there was frankly a high cost associated with these. Now, open-source is being contributed there's no foundation, and there's no cost. And so there's a whole continuum of things that the industry, the networking industry I should say, is learning about how to build communities and although this sounds cliche, you may launch a product, but you don't launch a community, you actually have to build it. And it's not all one company that's doing the donating or doing the working and that will produce, that'll create the longevity of that particular project. And that is what the Linux Foundation knows how to do well or at least catalyzed people to come together to do that well. >> Now you mentioned one of the big questions that always comes up with open-source is well how do we make money, right? Cause it's all free. It's like, you know ... >> Are we on Jerry Maguire? What's going on? (laughter) >> Jeff: Free like a puppy. (laughing) >> Still my favorite. >> Free like a puppy, yeah, you guys still got to change the newspaper. So you were on a panel today there was a big discussion about the commercialization and how does, I mean obviously Cisco has to stare at this big puppy in the room if you will, you know. What's going to happen to our licensing model with all this open-source, what came out of that discussion, what came out of the panel about how do you make money in this open-source world? >> So a couple of things, one thing that was discussed was not only how to make money, is which comes first, cost reduction, total cost of ownership, or new service revenue. And really the outcome there, and AT&T, Comcast, and Lightspeed Ventures was also in the panel with me. Needless to say it's a combination of both. If you're coming in with a project and the project is please spend this money so you can save this money, we know how to do that math. We can add up the rows and columns and can understand whether or not money will be saved over time. But the new service revenue really certainly in an enterprise space, is really what's being discussed. In particular, can I get these new services, I need these new security functions, I want to manage all my branches from the cloud or whatever the case might be. So new service revenue is depending on which use case, which technology, which layer. Both of those two balance out and they both are required in the algorithm. Now, can people make money off of it? And the answer is, needless to say, Lightspeed Ventures colleague said, "Hey man, if there's a community "and there's a technology, "you can list off a zillion cases of where that community "is turned into a true company that can provide value-add "and additional IP and move forward." Now, let's move this from just startups to big companies like Cisco or AT&T and Comcast and not only do we all use open-source in our projects, all those companies are contributing to open-source. And in Cisco's case, we're contributing to open-source for a couple of key reasons, one is there are gaps in the industry, which were limiting the industry. So let me give an example. We open-sourced a virtual switch router, which you might think, okay it's Cisco they're going to do something in networking, but the reason why we open-sourced it, and it's a piece that we actually use in our products, was there was not a virtual switch or router that had the scale, performance, or features that enabled the industry to utilize all the capabilities of the hardware underneath, whether it's computer or networking or security. And so the industry literally would have stalled with a limited feature set versus being able to utilize decades of networking knowledge and experience in things that are key and necessary, encapsulations, features, filters, quality of service etc., etc. There's a zillion of these pieces. And so there's a couple different ways, how can somebody make money off of this really is the fundamental question. We contribute into open-source communities and use that open-source to build products as well. And we can do this across video, we can do this in networking, and we do this in NFV, we do this in orchestration in these pieces and we also catalyze an ecosystem around these projects and then potentially around our portfolio as well. And so we continuously expand our ecosystem into startups that are using this technology, advancing the technology, enabling the industry to move faster, and trying to fundamentally create those business outcomes that our customers want. >> I just love that you just innately understand the value of an active community and that really comes through, so but unfortunately the janitors have rolled in, the vacuums are going, the garbage cans are rolling, so before they unplug all of our gear, I want to give you the last word Dave. What are some of your top priorities for 2017? >> So top priorities for 2017 really comes down to working towards filling the gaps I mentioned, identity and policy, but additionally number one, make sure that the automation orchestration policy around networking in a containerized stack is created. So we live through a long era of hypervisors and what it was like to work with open stack and what it was like in open-source and have to invent all this technology. We learned a ton. But it doesn't exist in a containerized world. So for 2017, fill the big gaps in the industry and work towards orchestrating and automating networking, compute, storage, and security in a containerized world. >> Pretty simple. I think that's the answer. I was going to say 42 is usually the answer, but I think that was it Dave. (laughter) >> I love 42. (laughing) >> Thanks Dave, so he's Dave Ward, Scott Raynovich, I'm Jeff Frick, you're watching TheCUBE from Open Networking Summit 2017. We'll see you tomorrow. Thanks for watching. (upbeat electronic music) >> You're also an entrepreneur, right? You know the business, you've been in the business.

(clicking) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. It looks like they're letting the general session out. We're here at the Professional Business Women of California Conference; 6,000 women, about 5% men really talking about, it's amazing, the 28th year. I've never been to this show about how women can get more inclusive and diversity and taking, executing on steps to actually make it happen as somebody said in the key note. It's not a strategy problem, it's an execution problem. So, we've got a great story here and we're really excited to have CUBE alumni, Andrea Ward. She's now the CMO of Magento Commerce. Welcome back, Andrea. >> Thank you so much, it's great to be here and great to be at this conference. The buzz is amazing and I was here two years ago and it's grown so much, just in the two years. >> How many people were there, they say it's 6,000, now. >> I mean, it looks like it's about doubled. I don't know what the numbers were two years ago but the participation is amazing and it's such a great opportunity for local businesses to bring employees from their companies, have them have a chance just to talk and learn from such powerful women. So, it's been a really great conference. >> And, it's also a cross of so many kind of verticals if you will, because you know we go to a lot of tech conferences. This is more kind of a cross industry with banking and insurance and, you know, United Airlines we talked to earlier. And so, it's a much more diverse kind of set. >> Absolutely, I mean the women on the panels this morning spanned legal professions, government, entertainment, business, really diverse issue and it's fantastic that women are coming together to support each other to help make a difference. >> So last we saw you, I think we were on the street on Howard Street a couple years back which was pretty exciting as well, but now your new company, Magento Commerce. So, for people who aren't familiar with the company, give them kind of the four-one-one. >> Yeah great, well Magento Commerce is a leading commerce technology platform for mid-size businesses. We have recently separated from Ebay about 15 months ago and are now a privately held company and we power about a third of the world's commerce, believe it or not. >> That is amazing. Yeah. >> A third of the world's eCommerce. >> That's right. So, it's a fantastic company. We're growing and a part of that growth is absolutely growing a more diverse workforce and we've been putting into place some initiatives since last year. >> Yeah, part of the key note conversations were, obviously, that you need to put goals down on paper and you need to measure them and I think it was Bev Crair from Intel talked about, you know, doing it across all the pay grades. It's not just in engineering or just on the board or just the executive ranks, but really all the way across and it sounds like you guys are executing that to really help you just grow the company generically. >> Well, we're in a very lucky position in that we're experiencing growth and so that gives us room to really go out and look for amazing talent across the board. And so, we put a focus on diversity and inclusion and by doing that, we've increased the percentage of women in all roles across the company by 50% and that's since last June. So I think, you know, really just what you said earlier about execution and putting some numbers and goals against that can really make a difference. >> Right, and if you hadn't had those, that execution detail you probably couldn't have grown that fast because let's face it, it's hard to get good talent. If you're not including a broader base of talent, you're not going to be able to achieve your goals. >> Well, that's right and I think that some of that is, I don't know if you want to call it unconscious bias or unintentional, we're used to hiring people that look like us, have experience like us. And so, by encouraging that diversity, it really has made us expand the pool of applicants, make sure that we're not going for the easiest choice or the simplest choice but really considering a wide range of candidates to fill those positions. >> You know, I don't the birds of a feather conversation comes up enough, it's just easy to go with what you're familiar with. So whether it's unconscious or not, it's just easy, people are busy, you want to check the box and get off to your next task. So, you have to take a step back and consciously do the extra work, take the extra effort. >> Well, in the industry we support, the industries we support are going through digital transformation, I mean, commerce is key and central to digital transformation. And, transformation and change means that you have to consider other perspectives. You need to learn from new ideas and I think, you know, diversity plays a big part in that as well. So, I think bringing that into our own company because we're supporting that broader industry has been very important. >> Right. So, I want to take that opportunity to pivot on what you just said about in terms of the changing role of commerce. You know, I often think of like banks because in a bank, you know, your relationship was with your local branch; maybe you knew the banker, maybe you knew a couple of the tellers whatever, but you had a personal connection. Now, most people's engagement with the brands they interact with is electronic and via their phone and it's interesting that you say that. And, it's the commerce around those engagements, that the commerce is becoming the central point of gravity if you will and the relationship is spawning all from that. >> Well, I mean, personal connections are still very important and commerce I feel is like the moment where a conversation really turns into a relationship. So, it's important that those digital experiences, the customer experiences really make up the right connection with the brand. And so, that seamless interaction between what happens at the branch, for example in the financial example, on what you can do at home, that needs to be very cohesive. It needs to be trustworthy, it needs to be authentic and that means businesses need to create individual experiences that really reflect their brand. And, our company specifically has really helped businesses create those experiences, seamless experiences and translated them from digital to in-store or in the branch. I think the biggest change now is how that's starting to impact business-to-business relationships, I think. >> In what way? In the consumer world, we're used to that now right? We're all doing that in our everyday experiences. Now, we're starting to see that also come into a business-to-business relationship. So, just like the seamless conveniences that you have online in your day to day life, people want to see that in the workplace, too. And so, we're seeing the biggest change now in those types of business models. >> They're rocking in the background, if you can't hear them. >> Yeah! We are here. >> Yeah! You know, it's funny, I just saw, something come across the feed talking about that annoying business-to-business add in Instagram, but then aren't you glad you saw it? >> Yeah. >> So, it's interesting how, you know, the B to C norms, you know, continue to help define what's going on in the B to B space and we've seen it in Enterprise Software Applications and Cloud and the flexibility and speed of innovation. It just continues to really drive the business-to-business relationship. >> Yeah, and I think just like in the business-to-consumer world, it has started with content in business-to-business. But, now people want to move from just learning and knowledge to actually transacting which means that companies need to enable specialized price list, account management, things like that and that's starting to surface in the commerce world as well. So, we're really excited about that and we're going to be sharing some of that at our conference next week; Imagine, in Las Vegas. >> Okay yeah, it's amazing how fast. It was not that long ago, we were just trying to get the 360 view. Right? We were just trying to pull from all the various desperate systems to know who that customer was for a given system. Now, it's a segmentation to want, a very different challenge. >> Right, I mean it's that change from thinking about trying to attract your customer to come to your business to really bringing the business to the customer. I mean, I think that's what some of this digital technology is allowing us to do. We're going to them rather than trying to draw them in to come to us, if that makes sense. This idea of commerce coming to you, right? >> And, it's got to come to you with something that's relevant, that's topical, that's timely. >> That's easy to execute, that can mirror a real experience. I mean, you hear a lot of things about, things like virtual reality, artificial intelligence. I mean, all of that's just gimmicks unless you can actually think about how you make that real for your brand. So, for example, we have a customer in Mexico City who is selling eyewear, right. And so, everybody when they buy glasses, they want to try them on, so we need to help them give their customers that virtual experience. If they can't come into the store and try them on, we want to be able to let them try them on at home. So, that's a natural extension of the brand and a way to use virtual reality and I think businesses are still trying to figure that out. But, if those customers didn't have that experience, it'd be less likely that they actually would buy or, you know, make a commerce transaction. >> But, if I'm hearing you, instead of it really kind of being in a marketing effort that then it's completed with a transaction, you're kind of coming at that which you just described from the transaction first and this is really a supporting or an enabling activity. >> That's right, it all starts with the customer understanding what is going to help them make their decisions. Giving them experiences that feel seamless, giving them options. So, if they want to come in-store but see what's maybe available at another store for pick-up or if they want to come in-store and order online or if they want to order from home and then go into the store and pick it up. It's really about giving the customer the right options for them. >> Right. >> Another great story we had is, I mean, how many of us travel, I know you travel a lot. >> Right. >> I travel a ton. >> Especially, to Vegas. (chuckling) >> Especially, to Vegas! And, you know, my kids are always expecting something when I come home but who has time? So, you know, one of our partners worked with the Frankfurt Airport and created an application where on the way to the airport, you can go shopping at all of their stores in the airport and have your package waiting for you at the gate on the way to the plane. So now, you know, they've figured out what their customers want to do first by creating this great shopping experience at the airport. Now, they know people are running through the airport, how can we extend that shopping experience for them while they're sitting in the taxi (chuckling) on the way, have it waiting for them at the gate? And so, for me personally, working for a company that's helping customers to do those kinds of things has really been fun. >> Right, because they always have the liquor for ya ready to go at the gate but never the kids', you know, t-shirts or a little tchotchke or, I can remember running through Heathrow time and time again trying to find something quickly. >> Yeah, and now with two kids and a husband that all want something different, (laughing) you know, it makes it much easier for me. >> Alright, Andrea, well you've been doing this marketing thing for a long time. I'll give you the last word both on the conference and kind of, you know, as a marketer to see where we're going with A.I. and really the ability to actually segment to one. You know, how exciting is that for you? >> Yeah, I mean, it's fantastic. I think, you know, marketers want to create relationships with their brand and all of these tools are giving us better access, better chance to create that fantastic experience. So, it's a great time to be a marketer. (chuckling) And, it's a great time to be at this conference, too so. >> Alright. Thanks very much. >> Thanks for stopping by, Andrea Ward. I'm Jeff Frick, you're watching theCUBE from the Professional Business Women's Conference in San Francisco. Thanks for watching. (upbeat electronic music)

>>Hey everyone. Hello from Las Vegas. Lisa Martin here with you, and I'm on the show floor at Reinvent. But we have a very special program series that the Cube has been doing called Women of the Cloud. It's brought to you by aws and I'm so pleased to have an excellent panel of women leaders in technology and in cloud to talk about their tactical recommendations for you, what they see as found, where they've helped organizations be successful with cloud. Please welcome my three guests, Tara Kapor, president and Chief Revenue Officer, consulting and Digital Transformations, NTT Data. We have Rachel Mu, aws, head of North America, partner sales from aws, and Jimmy Barnes joins us as well, managing director, investment banking engineering at Goldman Sachs. It is so great to have you guys on this power panel. I love it. Thank you for joining me. >>Thank >>You. Let's start with you. Give us a little bit of, of your background at NTT Data and I, and I understand NTT has a big focus on women in technology and in stem. Talk to us a little bit about that and then we'll go around the table. >>Perfect, thank you. Thank you. So brand new role for me at Entity Data. I started three months back and it's a fascinating company. We are about 22 billion in size. We work across industries on multiple innovative use cases. So we are doing a ton of work on edge analytics in the cloud, and that's where we are here with aws. We are also doing a ton of work on the private 5G that we are rolling out and essentially building out industry-wide use cases across financial services, manufacturing, tech, et cetera. Lots of women identity. We essentially have women run cloud program today. We have a gal called Nore Hanson who is our practice leader for cloud. We have Matine who's Latifa, who's our AWS cloud leader. We have Molly Ward who leads up a solutions on the cloud. We have an amazing lady in Mona who leads up our marketing programs. So a fantastic plethora of diverse women driving amazing work identity on cloud. >>That's outstanding to hear because it's one of those things that you can't be what you can't see. Right. We all talk about that. Rachel, talk a little bit about your role and some of the focus that AWS has. I know they're big customer obsession, I'm sure obsessed with other things as well. >>Sure. So Rachel Muir, pleased to be here again. I think this will be my third time. So a big fan of the Cube. I'm fortunate enough to lead our North America partner and channel business, and I'll tell you, I've been at AWS for a little under two years, and honestly, it's been probably the best two years of my career. Just in terms of where the cloud is, where it's headed, the business outcomes that we can deliver with our customers and with our partners is absolutely remarkable. We get to, you know, make the impossible possible every day. So I'm, I'm thrilled to be here and I'm thrilled to, to be part of this inaugural Women of the Cloud panel. >>Oh, I'm prepared to have all three of you. One of the things that feedback, kind of pivoting off what, Rachel, one of the things that you said that one of our guests, some of several of our guests have said is that coming out of Adams keynote this morning, it just seems limitless what AWS can do and I love that it gives me kind of chills what they can do with cloud computing and technology, with its ecosystem of partners with its customers like Goldman Sachs. Jimmy, talk to us a little bit about you, your role at Goldman Sachs. You know, we think of Goldman Sachs is a, is a huge financial institution, but it's also a technology company. >>Yeah. I mean, since the age of 15 I've been super passionate about how we can use technology to transform business and simplify modernized business processes. And it's, I'm so thrilled that I have the opportunity to do that at Goldman Sachs as an engineer. I recently moved about two years ago into the investment banking business and it's, you know, it's best in class, one of the top companies in terms of mergers and acquisitions, IPOs, et cetera. But what surprised me is how technology enables all the businesses across the board. Right? And I get to be leading the digital platform for building out the digital platform for in the investment banking business where we're modernizing and transforming existing businesses. These are not new businesses. It's like sometimes I liken it to trying to change the train while it's moving, right? These are existing businesses, but now we get to modernize and transform on the cloud. Right. Not just efficiency for the business by efficiency for technologists as >>Well. Right, right. Sticking with you, Jimmy. I wanna understand, so you've been, you've been interested in tech since you were young. I only got into tech and accidentally as an adult. I'm curious about your career path, but talk to us about that. What are some of the recommendations that you would have for other women who might be looking at, I wanna be in technology, but I wanna work for some of the big companies and they don't think about the Goldman Sachs or some of the other companies like Walmart that are absolutely technology driven. What's your advice for those women who want to grow their career? >>I also, growing up, I was, I was interested in various things. I, I loved doing hair. I used to do my own hair and I used to do hair for other students at school and I was also interested in running an entertainment company. And I used actually go around performing and singing and dancing with a group of friends, especially at church. But what amazed me is when I landed my first job at a real estate agent and everything was being done manually on paper, I was like, wow, technology can bring transformation anywhere and everywhere. And so whilst I have a myriad of interest, there's so many ways that technology can be applied. There's so many different types of disciplines within technology. It's not, there's hands on, like I'm colder, I like to code, but they're product managers, there are business analysts, there are infrastructure specialist. They're a security specialist. And I think it's about pursuing your passion, right? Pursuing your passion and identifying which aspects of technology peak your interest. And then diving in. >>Love that. Diving in. Rachel, you're shaking your head. You definitely are in alignment with a lot of what >>Duties I am. So, you know, interesting enough, I actually started my career as a civil engineer and eventually made it into, into technology. So very similar. I saw in, you know, heavy highway construction how manual some of these processes were. And mind you, this was before the cloud. And I sat down and wrote a little computer program to automate a lot of these manual tasks. And for me it was about simplification of the customer journey and really figuring out how do you deliver value. You know, on fast forward, say 20 plus years, here I am with AWS who has got this amazing cloud platform with over 200 services. And when I think about what we do in tech, from business transformation to modernizing to helping customers think about how do they create new business models, I've really found, I've really found my sweet spot, and I'll say for anyone who wants to get into tech or even switch careers, there's just a couple words of advice that I have. And it's really two words, just start. >>Yes, >>That's it. Just start. Because sometimes later becomes never. And you know, fuel your passion, be curious, think about new things. Yes. And just >>Start, I love that. Just start, you should get t-shirts made with that. Tell me a little bit about some of your recommendations. Obviously just start is great when follow your passion. What would you say to those out there looking to plan the letter? >>So, you know, my, my story's a little bit like jus because I did not want to be in tech. You know, I wanted an easy life. I did well in school and I wanted to actually be an air hostess. And when I broke that to my father, you know, the standard Indian person, now he did, he, you know, he wanted me to go in and be an engineer. Okay? So I was actually push into computer engineering, graduated. But then really two things today, right? When I look back, really two pieces, two areas I believe, which are really important for success. One is, you know, we need to be competent. And the second is we need to be confident, right? Yes, yes. It's so much easier to be competent because a lot of us diverse women, diverse people tend to over rotate on knowing their technical skills, right? Knowing technical skills important, but you need to know how to potentially apply those to business, right? Be able to define a business roi. And I see Julie nodding because she wants people to come in and give her a business ROI for programs that you're executing at Goldman Sachs. I presume the more difficult part though is confidence. >>Absolutely. It's so hard, especially when, when we're younger, we don't know. Raise your hand because I guarantee you either half the people in the, in the room or on the zoom these days weren't listening or have the same question and are too afraid to ask because they don't have the confidence. That's right. Give me, let's pivot on confidence for a minute, Jim, and let's go back to how would you advise your younger self to find your confidence? >>That's, that's a tough one because I feel like even this older self is still finding exercise to, to be real. But I think it's about, I would say it's not praise. I think it's about praising yourself, like recognizing your accomplishments. When I think about my younger self, I think I, I like to focus more on what I didn't do or what I didn't accomplish, instead of majoring and focusing on all the accomplishments and the achievements and reminding myself of those day after day after day. And I think it's about celebrating your wins. >>I love that. Celebrating your wins. Do you agree, Rachel? >>I do. Here's the hard part, and I look around this table of amazing business leaders and I can guarantee that every single one of us sometime this year woke up and said, oh my gosh, I don't know how to do that. Oh >>Yeah. But >>What we haven't followed that by is, I don't know how to do that yet. Right. And here's the other thing I would tell my younger self is there will be days where every single one of us falls apart. There will be days when we feel like we failed at work. There will be days when you feel like you failed as a parent or you failed as a spouse. There'll be days where you have a kid in the middle of target screaming and crying while you're trying to close a big business deal and you just like, oh my gosh, is this really my life? But what I would tell my younger self is, look, the crying, the chaos, the second guessing yourself, the successes, every single one of those are milestones. And it's triumphant, it's tragic, but every single thing that we have been through is fiercely worthwhile. And it's what got us >>Here. Absolutely. Absolutely. Think of all the trials and tribulations and six and Zacks that got you to this table right now. Yep. So Terry, you brought up confidence. How would you advise the women out there won't say you're gonna know stuff. The women out there now that are watching those that are watching right there. Hi. How would you advise them to really find their, their ability to praise themselves, recognize all of the trials and the tribulations as milestones as Rachel said, and really give themselves a seat at the table, raise their hand regardless of who else is in the room? >>You know, it's a, it's a more complex question just because confidence stems from courage, right? Confidence also stems from the belief that you're going to be treated fairly right now in an organization for you to be treated fairly. You need to have, be surrounded by supporters that are going to promote your voice. And very often women don't invest enough in building that support system around them. Yeah. Right. We have mentors, and mentors are great because they come in and they advise us and they'll tell us what we need to go out and do. We really need a team of sponsors Yes. Who come in and support us in the moment in the business. Give us the informal channel because very often we are not plugged into the informal channel, right. So we don't get those special projects or assignments or even opportunities to prove that we can do the tough task. Yeah. So, you know, my, my advice would be to go out and build a network of sponsors. Yes. And if you don't have one, be a sponsor for someone else. That's right. I love that. Great way to win sponsorship is by extending it todos. >>And sometimes too, it's about, honestly, I didn't even know the difference between a mentor and a sponsor until a few years ago. And I started thinking, who are I? And then I started realizing who they were. That's right. And some of the conversations that we've had on the cube about women in technology, women of the cloud with some of the women leaders have said, build, and this is kind of like, sort of what you were saying, build your own personal board of directors. Yeah. And that, oh, it gives me chills. It's just, it's so important for, for not just women, but anybody, for everybody. But it's so important to do that. And if you, you think about LinkedIn as an example, you have a network, it's there, utilize it, figure out who your mentors are, who your sponsors are, who are gonna help you land the next thing, start building that reputation. But having that board of directors that you can kind of answer to or have some accountability towards, I think is hugely very >>Important. Yeah. >>Very important. I think, you know, just for, just for those that are listening, a really important distinction for me was mentors are people that you have that help you with, Hey, here's the situation that you were just in. They advise you on the situation. Sponsors are the people that stick up for you when you're not in the room to them. Right. Sponsors are the ones that say, Hey, I think so and so not only needs to have a seat at the table, but they need to build the table. And that's a really important delineation. Yeah. Between mentors and sponsors. And everybody's gotta have a sponsor both within their company and outside of their company. Someone that's advocating for them on their behalf when they don't even know it. Yeah. Yeah. >>I love that you said that. Build the table. It reminds me of a quote that I heard from Will I am, I know, very random. It was a podcast he did with Oprah Winfrey on ai. He's very into ai and I was doing a panel on ai, so I was doing a lot of research and he said, similar for Rachel to build the table, don't wait for a door to open. You go build a door. And I just thought, God, that is such brilliant advice. It is. It's hard to do. It is. Especially when, you know, the four of us in this room, there's a lot of women around here, but we are in an environment where we are the minority women of color are also the minority. What do you guys think where tech is in terms of de and I and really focusing on De and I as as really a very focused strategic initiative. Turner, what do you think? >>So, you know, I just, I, I spoke earlier about the women that we have at Entity Data, right? We have a fabulous team of women. And joining this team has been a moment of revelation for me coming in. I think to promote dni, we all need to start giving back, right? Yes. So today, I would love to announce that we at Entity would like to welcome all of you out there. You know, folks that have diverse ideas, you know, ISV, partners with diverse solutions, thought leaders out there who want to contribute into the ecosystem, right? Customers out there who want to work with companies that are socially responsible, right? We want to work with all of you, come back, reach out to us and be a part of the ecosystem because we can build this together, right? AWS has an amazing platform that gives us an opportunity to do things differently. Yes. Right. Entity data is building a women powered cloud team. And I want to really extend that out to everyone else to be a part this ecosystem, >>But a fantastic opportunity. You know, when we talk about diversity and inclusion and equity, it needs to be intentional for organization. It sounds very intentional at ntt. I know that that intention is definitely there at AWS as well. What are your thoughts on where tech is with respect to diversity? Even thought diversity? Because a lot of times we tend to go to our comfort zones. We do. And so we tend to start creating these circles of kind of like, you know, think tanks and they think alike people to go outside of that comfort zone. It's part of building the table, of building the, is the table and getting people from outside your comfort zone to come in and bring in diverse thought. Because can you imagine the potential of technology if we have true thought diversity in an organization? >>Right? It's, it's incredible. So one of the things that I always share with my team is we've got the opportunity to really change the outcome, right? As you know, you talked about Will I am I'm gonna talk about Bono from you too, right? One of, one of his favorite quotes is, we are the people we've been waiting for. Oh, I love that. And when you think about that, that is us. There is no one else that's gonna change the outcome and continue to deliver some of the business outcomes and the innovation that we are if we don't continue to raise our hand and we don't continue to, to inspire the next generation of leaders to do the same thing. And what I've found is when you start openly sharing what your innovation ideas are or how you're leveraging your engineering background, your stories and your successes, and, and frankly, some of your failures become the inspiration for someone you might not even know. Absolutely. And that's the, you know, that's the key. You're right. Inclusion, diversity, equity and accessibility, yes. Have to be at the forefront of every business decision. And I think too often companies think that, you know, inclusion, diversity, equity and accessibility is one thing, and business outcomes are another. And they're not. No, they are one in the same. You can't build business outcomes without also focusing on inclusion, diversity, equity, accessibility. That's the deliberate piece. >>And, and it has to be deliberate. Jimmy, I wanna ask you, we only have a couple of minutes left, but you're a woman in tech, you're a woman of color. What was that like for you? You, you were very intentional knowing when you were quite young. Yeah. What you wanted to do, but how have you navigated that? Because I can't imagine that was easy. >>It wasn't. I remember, I always tell the story and the, the two things that I really wanted to emphasize today when I thought about this panel is rep representation matters and showing up matters, right? And there's a statement, there's a flow, I don't know who it's attributed to, but be the change you want to see. And I remember walking through the doors of Goldman Sachs 15 years ago and not seeing a black female engineer leader, right? And at that point in time, I had a choice. I could be like, oh, there's no one look like, there's no one that looks like me. I don't belong here. Or I could do what I actually did and say, well, I'm gonna be that person. >>Good, >>Right? I'm going to be the chain. I'm going to show up and I am going to have a seat at the table so that other people behind me can also have a seat at the table. And I think that I've had the privilege to work for a company who has been inclusive, who has had the right support system, the right structures in place, so that I can be that person who is the first black woman tech fellow at Goldman Sachs, who is one of the first black females to be promoted up the rank as a, from analysts to managing director at the company. You know, that was not just because I determined that I belong here, but because the company ensure that I felt that I belong. >>Right. >>That's a great point. They ensure that you felt that. Yeah. You need to be able to feel that. Last question, we've only got about a minute left. 2023 is just around the corner. What comes to your mind, Jimmy will stick with you as you head into the new year. >>Sorry, can you repeat >>What comes to mind priorities for 2023 that you're excited about? >>I'm excited about the democratization of data. Yeah. I'm excited about a lot of the announcements today and I, I think there is a, a huge shift going on with this whole concept of marketplaces and data exchanges and data sharing. And I think both internally and externally, people are coming together more. Companies are coming together more to really de democratize and make data available. And data is power. But a lot of our businesses are running, running on insights, right? And we need to bring that data together and I'm really excited about the trends that's going on in cloud, in technology to actually bring the data sets together. >>Touro, what are you most excited about as we head to 2023? >>I think I'm really excited about the possibilities that entity data has right here, right now, city of Las Vegas, we've actually rolled out a smart city project. So saving citizens life, using data edge analytics, machine learning, being able to predict adverse incidents before they happen, and then being able to take remediation action, right? So that's technology actually working in real time to give us tangible results. We also sponsor the Incar races. Lots of work happening there in delivering amazing customer experience across the platform to millions of users real time. So I think I'm just excited about technology coming together, but while that's happening, I think we really need to be mindful at this time that we don't push our planet into per right. We need to be sustainable, we need to be responsible. >>Absolutely. Rachel, take us out. What are you most excited about going into 2023? >>So, you know, there are so many trends that are, that we could talk about, but I'll tell you at aws, you know, we're big. We, we impact the world. So we've gotta be really thoughtful and humble about what it is that we do. So for me, what I'm most excited about is, you know, one of our leadership principles is about, you know, with what broad responsibility brings, you know, you've got to impact sustainability and many of those other things. And for me, I think it's about waking up every day for our customers, for our partners, and for the younger generations. And being better, doing better, and making better for this planet and for, you know, the future generations to come. So >>I think your tag line just start applies to all of that. It does. It has been an absolute pleasure. And then really an honor to talk to you on the program. Thank you all for joining me, sharing your experiences, sharing what you've accomplished, your recommendations for those others who might be our same generation or older or younger. All really beautiful advice. Thank you so much for your time and your insights. We appreciate it. >>Thank you. Thank you. >>For my guests, I'm Lisa Martin. You're watching The Cube, the leader in live enterprise and emerging tech coverage. Thanks for watching.

foreign [Music] welcome to this Cube showcase accelerating business transformation with VMware Cloud on aw it's a solution Innovation conversation with two great guests Fred Ward and VP of Commercial Services at AWS and Narayan bardawaj who's the VP and general manager of cloud Solutions at VMware gentlemen thanks for uh joining me on the Showcase great to be here hey thanks for having us on it's a great topic you know we we've been covering this VMware Cloud on AWS since since the launch going back and it's been amazing to watch The Evolution from people saying oh it's the worst thing I've ever seen what's this mean uh and depressed we're we're kind of not really on board with kind of the vision but as it played out as you guys had announced together it did work out great for VMware it did work out great for a divs and it continues two years later and I want to just get an update from you guys on where you guys see this has been going obviously multiple years where is the evolution of the solution as we are right now coming off VMware Explorer just recently and going in to reinvent uh which is only a couple weeks away uh this feels like tomorrow but you know as we prepare a lot going on where are we with the evolution of the solution I mean the first thing I want to say is you know October 2016 was a seminal moment in the history of I.T right when bad girls singer and Andy jassy came together to announce this and I think John you were there at the time I was there it was a great great moment we launched the solution in 2017 the year after that at vmworld back when we called it vmworld I think we've gone from strength to strength one of the things that has really mattered to us is we've learned from AWS also and the process is this notion of working backwards so we're really really focused on customer feedback as we build the service offering now five years old pretty remarkable Journey uh you know in the first years we tried to get across all the regions you know that was a big Focus because there was so much demand for it in the second year we started going really on Enterprise great features we invented this pretty awesome feature called stretch clusters where you could stretch a vsphere cluster using vsan NSX across two azs in the same region pretty phenomenal for lines of availability that applications start started to get with that particular feature and we kept moving forward all kinds of integration with AWS direct connect Transit gateways with our own Advanced networking capabilities uh you know along the way Disaster Recovery we punched out you need two new Services just focused on that and then more recently we launched our outposts partnership we were up on the stage at reinvent again with Pat and Andy announcing AWS outposts and the VMware flavor of that VMware cloud and AWS outposts I think it's been significant growth in our federal sector as well the federal Empire certification more recently so all in all we're super excited we're five years old the customer momentum is really really strong we are scaling the service massively across all GEOS and industries that's great great update and I think one of the things that you mentioned was how the advantages you guys got from that relationship and this has kind of been the theme for AWS man since I can remember from day one Fred you guys do the heavy lifting as as it's always say for the customers here VMware comes on board takes advantage of the AWS and kind of just doesn't miss a beat continues to move their workloads that everyone's using you know vsphere and these are these are Big workloads on AWS what's the AWS perspective on this how do you see it yeah uh it's pretty fascinating to watch how fast customers can actually transform and move when you take the the skill set that they're familiar with and the advanced capabilities that they've been using on-prem and then overlay it on top of the AWS infrastructure that's that's evolving quickly and and building out new hardware and new instances we'll talk about uh but that combined experience between both of us on a jointly engineered solution uh to bring the best security and the best features that really matter for those workloads uh drive a lot of efficiency and speed for the for the customer so it's been well received and the partnership is stronger than ever from an engineering standpoint from a business standpoint and obviously it's been very interesting to look at just how we stay day one in terms of looking at new features and work and and responding to what customers want so pretty pretty excited about just seeing the transformation and the speed that which customers can move to uh BMC yeah that's a great value probably we've been talking about that in context to anyone building on top of the cloud they can have their own super cloud as we call it if you take advantage of all the capex and investment Amazon's made and AWS is made and and continues to make in performance I as and pass all great stuff I have to ask you guys both as you guys see this going to the next level what are some of the differentiations you see around the service compared to other options on the market what makes it different what's the combination you mentioned jointly engineered what are some of the key differentias of the service compared to others yeah I think one of the key things red talked about is this jointly engineered notion right from day one we were the earlier doctors of the AWS Nitro platform right the reinvention of ec2 back five years ago and so we've been you know having a very very strong engineering partnership at that level I think from uh we have a customer standpoint you get the full software-defined data center compute storage networking on ec2 bare metal across all regions you can scale that elastically up and down it's pretty phenomenal just having that consistency Global right on AWS ec2 Global regions now the other thing that's a real differentiator for us customers tell us about is this whole notion of a managed service right and this was somewhat new to VMware this undifferentiated heavy lifting where customers are to provision rack stack Hardware configure the software on top and then upgrade the software and the security patches on top so we took away all of that pain as customers transition to VMware cloud and AWS in fact my favorite story from last year when we were all going through the lock for Jay debacle the industry was just going through that right favorite proof point from customers was before they could even race uh this issue to us we sent them a notification saying uh we already patched all of your systems no action from you the customers were super thrilled I mean these are large Banks many other customers around the world super thrill they had to take no action for a pretty incredible industry challenge that we were all facing that's a great point you know the whole managed service piece brings up the security and you're kind of teasing at it but you know there's always vulnerabilities that emerge when you're doing complex logic and as you grow your Solutions there's more bits you know Fred we were commenting before we came on cameras more bits than ever before and and at the physics layer too as well as the software so you never know when there's going to be a zero day vulnerability out there just it happens we saw one with Fortinet this week um this came out of the woodwork but moving fast on those patches is huge this brings up the whole support angle I wanted to ask you about how you guys are doing that as well because to me we see the value when we when we talk to customers on the cube about this you know it was a real real easy understanding of how what the cloud means to them with VMware now with the AWS but the question that comes up that we want to get more clarity on is how do you guys handle the support together well what's interesting about this is that it's it's done mutually we have dedicated support teams on both sides that work together pretty seamlessly to make sure that whether there's a issue at any layer including all the way up into the app layer as you think about some of the other workloads like sap we'll go end to end and make sure that we support the customer regardless of where the particular issue might be for them uh and on top of that we look at where where we're improving reliability in as a first order of principle between both companies so from an availability and reliability standpoint it's it's top of mind and no matter where the particular item might land we're going to go help the customer resolve that works really well on the VMware side let's spend the feedback there what's the what's some of the updates same scene yeah yeah I think uh look I mean VMware owns and operates the service will be a phenomenal back in relationship with AWS customers call VMware for the service for any issues and then we have a awesome relationship with AWS in the back end for support issues for any hardware issues capacity management that we jointly do right all the hard problems that customers don't have to worry about uh I think on the front end we also have a really good group of solution Architects across the companies that help to really explain the solution do complex things like Cloud migration which is much much easier with VMware on AWS we're presenting that easy button to the public cloud in many ways and so we have a whole technical audience across the two companies that are working with customers every single day you know you had mentioned a list here some of the Innovations the you mentioned the stretch clustering you know getting the GEOS working Advanced Network disaster recovery um you know fed fed ramp public sector certifications outposts all good you guys are checking the boxes every year you got a good good accomplishments list there on the VMware AWS side here in this relationship the question that I'm interested in is what's next what uh recent Innovations are you doing are you making investments in what's on the list this year what items will be next year how do you see the the new things the list of the cosmos people want to know what's next they don't want to see stagnant uh growth here they want to see more action you know as as uh Cloud kind of continues to scale and modern applications Cloud native you're seeing more and more containers more and more you know more CF CI CD pipelining with with modern apps putting more pressure on the system what's new what's the new Innovations absolutely and I think as a five-year-old service offering uh Innovation is top of mind for us every single day so just to call out a few recent innovations that we announced in San Francisco at VMware Explorer um first of all uh our new platform i4i dot metal it's isolate based it's pretty awesome it's the latest and greatest uh all the speeds and beats that you would expect from VMware and AWS at this point in our relationship we announced two different storage options this notion of working from customer feedback allowing customers even more price reductions really take off that storage and park it externally right and you know separate that from compute so two different storage offerings there one is with AWS FSX NetApp on tap which brings in our NetApp partnership as well into the equation and really get that NetApp based really excited about this offering as well and the second storage offering called VMware Cloud Flex story vmware's own managed storage offering beyond that we've done a lot of other Innovations as well I really wanted to talk about VMware Cloud Flex compute where previously customers could only scale by hosts you know host is 36 to 48 cores give or take but with VMware cloudflex compute we are now allowing this notion of a resource defined compute model where customers can just get exactly the vcpu memory and storage that maps to the applications however small they might be so this notion of granularity is really a big innovation that that we are launching in the market this year and then last but not least topper ransomware of course it's a Hot Topic in the industry we are seeing many many customers ask for this we are happy to announce a new ransomware recovery with our VMware Cloud VR solution a lot of innovation there and the way we are able to do machine learning and make sure the workloads that are covered from snapshots backups are actually safe to use so there's a lot of differentiation on that front as well a lot of networking Innovations with project North Star the ability to have layer 4 through layer seven uh you know new SAS services in that area as well keep in mind that the service already supports managed kubernetes for containers it's built in to the same clusters that have virtual machines and so this notion of a single service with a great TCO for VMS and containers is sort of at the heart of our option the networking side certainly is a hot area to keep innovating on every year it's the same same conversation get better faster networking more more options there the flex computes interesting if you don't mind me getting a quick clarification could you explain the address between resource defined versus Hardware defined because this is kind of what we had saw at explore coming out that notion of resource defined versus Hardware defined what's that what does that mean yeah I mean I think we've been super successful in this Hardware defined notion where we're scaling by the hardware unit uh that we present as software-defined data centers right so that's been super successful but we you know customers wanted more especially customers in different parts of the world wanted to start even smaller and grow even more incrementally right lower the cost even more and so this is the part where resource defined starts to be very very interesting as a way to think about you know here's my bag of resources exactly based on what the customer's requested it would be for fiber machines five containers its size exactly for that and then as utilization grows we elastically behind the scenes were able to grow it through policies so that's a whole different dimension it's a whole different service offering that adds value when customers are comfortable they can go from one to the other they can go back to that post-based model if they so choose to and there's a jump off point across these two different economic models it's kind of cloud flexibility right there I like the name Fred let's get into some of the uh examples of customers if you don't mind let's get into some of these we have some time I want to unpack a little bit of what's going on with the customer deployments one of the things we've heard again on the cube is from customers is they like the clarity of the relationship they love the cloud positioning of it and then what happens is they lift and shift the workloads and it's like feels great it's just like we're running VMware on AWS and then they start consuming higher level Services kind of that adoption Next Level happens um and because it's in the cloud so so can you guys take us through some recent examples of customer wins or deployments where they're using VMware Cloud on AWS on getting started and then how do they progress once they're there how does it evolve can you just walk us through a couple use cases sure um there's a well there's a couple one it's pretty interesting that you know like you said as there's more and more bids you need better and better hardware and networking and we're super excited about the I-4 uh and the capabilities there in terms of doubling and or tripling what we're doing around a lower variability on latency and just improving all the speeds but what customers are doing with it like the college in New Jersey they're accelerating their deployment on a on onboarding over like 7 400 students over a six to eight month period and they've really realized a ton of savings but what's interesting is where and how they can actually grow onto additional native Services too so connectivity to any other services is available as they start to move and migrate into this um the the options there obviously are tied to all the Innovation that we have across any Services whether it's containerized and with what they're doing with tanzu or with any other container and or services within AWS so so there's there's some pretty interesting scenarios where that data and or the processing which is moved quickly with full compliance whether it's in like health care or regulatory business is is allowed to then consume and use things for example with text extract or any other really cool service that has you know monthly and quarterly Innovations so there's things that you just can't could not do before that are coming out uh and saving customers money and building Innovative applications on top of their uh their current uh app base in in a rapid fashion so pretty excited about it there's a lot of examples I think I probably don't have time to go into too many here yeah but that's actually the best part is listening to customers and seeing how many net new services and new applications are they actually building on top of this platform now Ryan what's your perspective from the VMware psychics you know you guys have now a lot of head room to offer customers with Amazon's you know higher level services and or whatever's homegrown what is being rolled out because you now have a lot of hybrid too so so what's your what's your take on what what's happening and with customers I mean it's been phenomenal the customer adoption of this and you know Banks and many other highly sensitive verticals are running production grade applications tier one applications on the service over the last five years and so you know I have a couple of really good examples SNP Global is one of my favorite examples large Bank the merch with IHS Market big sort of conglomeration now both customers were using VMware cloud and AWS in different ways and with the uh with the use case one of their use cases was how do I just respond to these Global opportunities without having to invest in physical data centers and then how do I migrate and consolidate all my data centers across the globe of which there were many and so one specific example for this company was how they migrated thousand one thousand workloads to VMware cloud and AWS in just six weeks pretty phenomenal if you think about everything that goes into a cloud migration process people process technology and the beauty of the technology going from VMware point a to VMware point B the the lowest cost lowest risk approach to adopting we have our cloud in AWS so that's uh you know one of my favorite examples there are many other examples across other verticals that we continue to see the good thing is we're seeing rapid expansion across the globe we're constantly entering new markets uh with a limited number of regions and progressing our roadmap it's great to see I mean the data center migrations go from months many many months to weeks it's interesting to see some of those success stories so congratulations another one of the other uh interesting uh and fascinating uh uh benefits is the sustainability Improvement in terms of being green so the efficiency gains that we have both in current uh generation and New Generation processors and everything that we're doing to make sure that when a customer can be elastic they're also saving power which is really critical in a lot of regions worldwide at this point in time they're they're seeing those benefits if you're running really inefficiently in your own data center that is just a not a great use of power so the actual calculators and the benefits to these workloads is are pretty phenomenal just in being more green which I like we just all need to do our part there and and this is a big part of it here it's a huge it's a huge point about sustainability for everyone glad you called that out the other one I would say is supply chain issues another one you see that constrains I can't buy hardware and the third one is really obvious but no one really talks about it it's security right I mean um I remember interviewing Steven Schmidt with that AWS and many years ago this is like 2013 and um you know at that time people saying the Cloud's not secure and he's like listen it's more secure in the cloud than on premise and if you look at the security breaches it's all about the on-premise data center vulnerabilities not so much Hardware so there's a lot you gotta the the stay current on on the isolation there is hard so I think I think the security and supply chain threat is another one do you agree I I absolutely agree uh it's it's hard to manage supply chain nowadays we put a lot of effort into that and I think we have a great ability to forecast and make sure that we can lean in and have the resources that are available and run them run them more efficiently yeah and then like you said on the security Point Security is job one it is it is the only P1 and if you think of how we build our infrastructure from Nitro all the way up and how we respond and work with our partners and our customers there's nothing more important and Narayan your point earlier about the managed service patching and being on top of things is really going to get better all right final question I really want to thank you for your time on this showcase it's really been a great conversation uh Fred you had made a comment earlier I want to kind of end with the kind of a curveball and put you guys on the spot we're talking about a modern a new modern shift it's another we're seeing another inflection point we've been documenting it it's almost like Cloud hitting another inflection point um with application and open source growth significantly at the app layer continue to put a lot of pressure and innovation in the infrastructure side so the question is for you guys each to answer is what's the same and what's different in today's market so it's kind of like we want more of the same here but also things have changed radically and better here what are the what's what's changed for better and where what's still the same kind of thing hanging around that people are focused on can you share your perspective I'll I'll tackle it um you know uh businesses are complex and they're often unique uh that that's the same uh what's changed is how fast you can innovate the ability to combine manage services and new Innovative services and build new applications is so much faster today leveraging world-class Hardware uh that you don't have to worry about that's elastic you could not do that even five ten years ago to the degree you can today especially with the Innovation so Innovation is accelerating uh at a rate that most people can't even comprehend and understand the the set of services that are available to them it's really fascinating to see what a one pizza team of of Engineers can go actually develop in a week it is phenomenal so super excited about this space and it's only going to continue to accelerate that that's my take there I am you got a lot of platform to compete on with Amazon I got a lot to build on the memory which then you're right on your side what's your what's your answer to that question I think we're seeing a lot of innovation with new applications that customers [Music] I think uh what we see is this whole notion of how do you go from desktop to production to the secure supply chain and how can we truly uh you know build on the agility that developers desire and build all the security and the pipelines to energize that motor production quickly and efficiently I think we are seeing uh you know we're at the very start of that sort of uh of Journey um of course we have invested in kubernetes means to an end but it's so much more Beyond that's happening in the industry and I think we're at the very very beginning of this Transformations Enterprise transformation that many of our customers are going through and we're inherently part of it yeah well gentlemen I really appreciate that we're seeing the same things more the same here on you know solving these complexities with abstractions whether it's you know higher level services with large-scale infrastructure um at your fingertips infrastructure is code infrastructure to be provisioned serverless all the good stuff happening Fred with AWS on your side and we're seeing customers resonate with this idea of being an operator again being a cloud operator and developer so the developer Ops is kind of devops is kind of changing too so all for the better thank you for spending the time we're seeing again that traction with the VMware customer base and it was getting getting along great together so thanks for sharing your perspectives they appreciate it thank you so much okay thank you John okay this is thecube and AWS VMware showcase accelerating business transformation VMware Cloud on AWS jointly engineered solution bringing Innovation to the VMware customer base going to the cloud and Beyond I'm John Furrier your host thanks for watching [Music]

(calm music) >> Good morning from Miami. Lisa Martin here, live with The Cube, on the floor of IFS Unleashed. We are thrilled to be back with them after not seeing them for three years, of course, of obvious problems. But I'm very happy to be welcoming back one of our Cube alumni and the CEO of IFS, Darren Roos. Darren, it's great to have you back on The Cube. >> Thank you, Lisa. It's great to be here. >> I was telling you before we started, it must have felt amazing, exhilarating this morning, walking out on stage, seeing that sea of people, of live bodies, and actually getting to engage with your customers and your ecosystem in person again. >> Yeah, it's great. You know, I think we've all dealt with all of the challenges that Covid have brought and I think just going back to something that feels very normal and, you know, getting to interact with people again at this scale is really unique and a great feeling to be back, back in the throes of normality. >> Exactly. In the throes of normality. Well, so much has changed since The Cube last caught up with you. I think it was 2019 in Boston. Talk to me about some of the specific things that you've learned during the pandemic that IFS has done 'cause there's a lot of momentum which we're going to uncover on the show today. >> Yeah. Look, I think when we met last in 2019, the focus then was really on building out our Field Service Management offering. We'd always been a contender in the ERP space and with some asset management capability, but the focus was really on establishing ourselves as a leader in the field service management space. And today we are the undisputed leader in field service managements, both from an analyst and customer recognition perspective and what we've also done is we've really focused on building out that asset management capability and, you know, today, again, we're the number one player in asset management. And when you think about how you bring those two things together and the way that asset and service-centric entities have to orchestrate their organizations to create what we call amazing moments of service for their customers, then you need a technology platform that can provide all of that and we do that, really best-of-breed capability across field service management, asset management and components of ERP, but on a single platform. So customers don't have to deal with the integration complexity that they would in a more heterogeneous environment. >> Which is critical for getting time-to-market, product-to-market services, new revenue streams, et cetera. But you're also the top three ERP vendor. One of the top three. >> Yeah, we're one of the top three ERP vendors. You're growing north of 20%, way more than the big guys. How are you doing it and and where do you win? >> Yeah, you know, I think, for so long, customers have had to choose, as I said, between this best-of-breed and best-of-suite and making compromises either on functionality or on integration and I think that, you know, we are very focused from an industry perspective. As I said, just now, we only focus on capabilities and in service and asset-centric industries, think utilities, aerospace and defense, et cetera and in that space, you know, we have a very compelling proposition, as you said. We can help customers go live faster. We can de-risk those implementations 'cause we have more depth of functionality that's suited specifically to their needs and that makes it compelling and that means that, in a world where we're competing against vendors who are very much horizontally-focused and that best-of-suite offering that they have means that the functionality's compromised or in a best-of-suite, best-of-breed world, that the integration is compromised. That's why we're winning and that's why we're outgrowing the competition and, you know, I think we, we just stay focused. We stay in our niche, we stay focused on our customers and creating value and, you know, that's our reason for being. >> So north of 10,000 customers so far. Has IFS always been vertically-focused or is that something that's come on in the last few years, maybe since you were tenured. >> Yeah, in the last five years we've really homed in on those assets and service-centric verticals and it's important, because when you think about what we do from a development perspective, you know, as we build the technology and we think about those emerging use cases around, you know, asset investment planning or asset performance management or asset monitoring or all of the things that our customers are thinking about, IOT, AI, augmented reality, all of which we're showcasing at the conference, you know, you want to do that with a very specific use case in mind because I've talked a little bit about field service management and asset management but none of our customers consume technology in that way. You know, if they're in oil and gas, then they're thinking about shutdown and turnaround and they're thinking about plant maintenance, they're thinking about specific use cases that are industry focused and that's how we build the technology. So, you know, I think that's the differentiator for us and, you know, there's a bunch of customers here and, you know, you'll see all of the, you know, the solar arrays and the wind farms and all the different things where we're demoing the capability that we have that is very industry focused. >> The industry focus is so, like you said, very differentiating, but also it's not just, "We're going where customers are." It's, "We're listening "and we're actually speaking the language "that our customers speak." That's differentiating from the many, many hundreds of tech leaders that I talk to, just so you know. >> A hundred percent. Well, look, I think the thing is, is that what we recognize, is that for us to be able to really create value for them in the specific vertical that they're in, it can't be that we stick a marketing label on it. And that industry flavor has to be ubiquitous from, you know, when we meet them and we're able to understand the problems that they're facing through to the way that we build the technology to address the problems, all the way through to the partners that we're working with who are then going to deliver that solution. They need to understand the industry and I think that, you know, it's a not a particularly level playing field because so many of our competition don't operate that way. They have a horizontal application, they have horizontal partners, and then a lot of the rest is marketing blurb. But, you know, I think the customers that we have here today are great, global, international brands. You know, we told some of the stories from the stage this morning, with companies like Southwest and the MRO solution that we delivered for them and we're immensely proud of that. And, you know, our focus is on just telling more of those stories and creating more of those stories and being able to point towards tangible value that our technology's created in record time. You know, that's the focus. >> Right. It's all about the business outcomes. We've got sitting across from our set here is the Aston Martin F1 car. Darren and I were talking before, we're both big F1 fans. I love hearing the smart factory from an F1 team's perspective, or hearing about aerospace and defense customers because you get to understand the commonalities of these businesses and how similar they are to other industries. They have some of the same huge challenges but getting a race car built between now and February of 23 for the next race season, the amount of manufacturing that has to go on, smart manufacturing, and knowing that IFS is really underpinning that, is fantastic. >> Well, it's more complex than that even, because they're not building a new car by February, you know, they're rebuilding the car every week and, you know, it's that kind of attention to detail and the speed and sense of urgency that is a great opportunity for us to showcase the technology and that's why we love the relationship with Aston Martin Racing, but, you know, being able to then leverage the learnings from that environment, which is super high paced and the cycle times are so much quicker, into, you know, industries which maybe don't move as fast, but are, you know, perhaps more mission critical, you know, like an airline or, you know, something equivalent to that. >> Well, if we think about the industries that that you're focused on, so many of them were the hardest hit during the last couple of years, where they're really arterial industries and IFS has really been focused on helping these folks transform digitally. Talk to me about IFS as really a catalyst of those companies' digital transformations. >> You know, interestingly, we, didn't see a ton of impact during Covid to our business but that's because, as you say, that they were hit but hits almost in a positive way because they were the ones that kept things going. You know, think about our customers like telcos or utilities or, you know, unfortunately our aerospace and defense customers, commercial aviation aside, but we have a bunch of defense organizations that are customers and, you know, they've had to keep going and what we've really focused on and it continues to be our focus, is how do we help those businesses to be more efficient? And this is increasing, especially with what's happening in the world today, is increasingly important to them. How do they drive operational efficiency? And I talked a lot about the power of IFS's capability on a single platform and how do we bring the orchestration of the different parts of their business, whether that's their customers, their assets and their people. How do you orchestrate those things in order to create operational efficiency and in IFS language, create those moments of service? And that's what we do, and because we are focused on creating those moments of service and we're helping those customers to be more efficient, you're helping them to drive loyalty and, you know, repeat business and increase value in their customers, you know, that's, we just became and become, more important to them. You know, it's not a system that they can turn off and go, you know, "We'll do without this for a while." You know, we're really underpinning that value creation for them. >> You're integral. You're mission-critical, really. Let's double click on the moments of service. I love that from a tagline perspective. It's also the title of your new book. Congratulations on the book by the way. Define that for the audience. I think they can get a sense of that but what is, and it's really IFS enabling its customers to deliver moments of service. Talk to me about that. >> You know, it's funny. As we were discussing it, it tends to get used as the moments of service that we provide for our customers but that's really not what it's about. Every industry, every business, when you talk to the CEOs of those businesses, they're thinking about how do they impact their customers. What are the things that they need to do? And every business, when you talk about this concept of a moment of service, every business has multiple moments of service and everything that we do is about helping those customers, irrespective of whether they are a utility and the service they're providing is a broadband service, or, sorry, a telco providing a broadband service, or a utility providing electricity. That customer flicks the switch and the power is there, or they, you know, they dial their phone and the phone call is there. That's one of the moments of service that they provide. It could be, you know, the engineer going in and activating that service and being able to let the customer know that they're arriving at a certain time and then that broadband being activated so that the customer can actually, you know, plan around their day. But those moments of service are what we enable and it does, it takes a tremendous amount for an organization to come together. We all, as a consumer, had an experience where, you know, we've had an expectation and we've been disappointed and that moment of service wasn't provided and almost in every single case it comes down to a fragmented selection of systems that weren't integrated, that weren't inter-operating. You know, the wrong technician shows up, he doesn't have the right equipment, he didn't know that your house, you know, didn't have a certain capability or piece of equipment in it and that's where it starts to fall down and that's the customer disappointment and that leaves the sour taste in their mouths. So everything that we've done, whether it's our customer satisfaction monitoring tool, Customable, or whether it's the asset management capability, the field service management, managing those techs, so that you get the right technician with the right parts, when they said they were going to be there. All of those things are really focused on those moments of service, and you know, as you said, what resonates with people is that everybody, as a consumer, you know, interacts with companies where they've been disappointed by a poor moment of service and they've had great moments of service. So it does resonate with everyone. >> It does, and I actually think moments of service, probably, in a hopefully post-pandemic world, are probably even more important, because I think one of the things, and you talked about this, we've all had these disappointing experiences in the last couple of years, that were magnified to some factor of X and I think patience has been in short supply. Probably not going to rubber band back. So being able to, through your technology, enable customers to deliver those moments of service that are critical to reducing churn, increasing revenue, turning revenue into recurring, is really a differentiator for your customers. It's an advantage for them. >> Well I think that, you know, the consumers, in general, are becoming more demanding. That's a trend that isn't going to change. Covid certainly accelerated that. That's one element and we think about kind of big macro trends that are impacting, you know, businesses today. The other thing is this big move towards servitization and we think about companies like Rolls Royce, who are a customer of ours, who, you know, they used to manufacture and sell engines that went on aeroplanes and other engines. And today they don't. They rent those by the hour. And at the point that you flip that dynamic from being, you know, making a product and selling it, to, you know, providing it as a service, the world changes completely because all of a sudden you have to think about, you know, "How well are we making these assets? "How are we going to monitor those assets? "How are we going to continue to service those assets?" And obviously longevity and quality becomes so much more important and your customer experience becomes so much more important because if they're not putting a big capital out there and they're just renting it from you, if you don't provide, you know, quality of service, then they'll simply go somewhere else, and our technology underpins those motions. So you've got these big trends of customer expectation going up and of course the servitization trend. >> Right. And we've actually got Rolls Royce's Nick Ward for Rolls Royce coming on the program later today, so we'll talk about the big pivot they've made and how IFS has really been transformative in that. Talk a little bit about, in our last few minutes, about supply chain. Obviously we know it's been quite a mess the last couple of years. I saw some research over the summer from IFS that said 66% of organizations are keeping more stock on hand, more organizations are increasing supplier numbers. How is IFS helping in that sense? >> Yeah, so I think it's all about visibility and I think if we can give customers visibility into their supply chains and their stock levels, their inventory, and of course, you know, what's required from a customer perspective, and again, it's this orchestration of different pieces, which in a heterogeneous non best-to-breed and suite world, means that customers maybe have to try and figure out how they're going to manage all those things across the different systems. In IFS it's all in one system. We give them visibility and control that they wouldn't ordinarily have and I think that's a huge point today when you know everybody's under pressure. You know, how much money you've got tied up in inventory. You know, what your supply chain cash levels look like is a huge challenge for businesses with increasing debt costs coming up now. So, you know, I think that being able to manage that more efficiently, having better visibility, being able to plan more effectively, so that you're, you know, if you're building up your stock supplies, it's because you need those stock and you know what order's coming and that's where, you know, having integrated capabilities is so important and that's what we provide. >> Visibility and control are absolutely critical. I know that energy is one of your vertical specialties. Talk to me a little bit about how you're helping customers in Ukraine from an energy perspective. Is IFS there helping organizations to navigate those headwinds? >> Yeah, so we're not in Ukraine. It's not a market that we operate in, but I think that what is, you know, ubiquitous now in the world, is energy crisis, given what's happening in Ukraine and I think that, as an industry, we see the utilities industry investing heavily in two areas. One is that continuity of service and being able to make sure that, again, it has predictability around what the requirements are and how they provide quality of supply and continuous supply, but the other thing is of course is, you've got this whole move towards sustainable energy and that's an area in which we are increasingly involved and again, like I said, you see a bunch of sustainable energy demos going on around here in being able to help companies make the transition as well as manage that new infrastructure and we've got a bunch of innovation around that coming in the next six months or so. >> Well, you're coming off a fantastic first half. We saw the results over the summer, ARR up 33%. I can only imagine the trajectory in second half. >> It is strong. >> Continuing to go up. >> We'll release our Q3 results soon and, in fact, all the numbers are improved on our half-year numbers, so really happy with that development. But it's, you know, it is a testament to our customers. It's a testament to the way in which they work with us to make sure that we can build differentiated capability and, you know, we continue to try and work with them and reciprocate that loyalty and, you know, that's our story. >> Synergy. Love it. Darren, thank you so much for coming on The Cube, sharing with us the great momentum that IFS has been having during your tenure, also during the pandemic, the great customer stories that really articulate your value. We appreciate your time and we look forward to unpacking more on the program today. >> Thank you Lisa. >> My pleasure. For Darren Roos, I'm Lisa Martin. You're watching The Cube live from Miami on the show floor of IFS Unleashed. Don't go away. My next guest joins me in just a minute. (calm music)

>> theCube presents Dell Technologies World, brought to you by Dell. >> Hi everyone, welcome back to Dell Technologies World 2022. You're watching theCube's coverage of this, three-day coverage wall to wall. My name is David Vellante John Furrier's here, Lisa Martin, David Nicholson. Talk of the town here is data. And one of the big announcements at the show is Snowflake and Dell partnering up, building ecosystems. Snowflake reaching into on-prem, allowing customers to actually access the Snowflake Data Cloud without moving the data or if they want to move the data they can. This is really one of the hotter announcements of the show. Martin Glynn is here, he's the Senior Director of Storage Product Management at Dell Technologies. And Clark Patterson, he's the Head of Product Marketing for Snowflake. Guys, welcome. >> Thanks for having us. >> So a lot of buzz around this and, you know, Clark, you and I have talked about the need to really extend your data vision. And this really is the first step ever you've taken on-prem. Explain the motivation for this from your customer's perspective. >> Yeah. I mean, if you step back and think about Snowflake's vision and our mission of mobilizing the world's data, it's all around trying to break down silos for however customers define what a silo is, right? So we've had a lot of success breaking down silos from a workload perspective where we've expanded the platform to be data warehousing, and data engineering, and machine learning, and data science, and all the kind of compute intensive ways that people work with us. We've also had a lot of success in our sharing capabilities and how we're breaking down silos of organizations, right? So I can share data more seamlessly within my team, I can do it across totally disparate organizations, and break down silos that way. So this partnership is really like the next leg of the stool, so to speak, where we're breaking down the silos of the the data and where the data lives ultimately, right? So up until this point, Cloud, all focus there, and now we have this opportunity with Dell to expand that and into on-premises world and people can bring all those data sets together. >> And the data target for this Martin, is Dell ECS, right? Your object store, and it's got S3 compatibility. Explain that. >> Yeah, we've actually got sort of two flavors. We'll start with ECS, which is our turnkey object storage solution. Object storage offers sort of the ultimate in flexibility, you know, potential performance, ease of use, right? Which is why it fits so well with Snowflake's mission for sort of unlocking, you know, the data within the data center. So we'll offer it to begin with ECS, and then we also recently announced our software defined object scale solution. So add even more flexibility there. >> Okay. And the clock, the way it works is I can now access non-native Snowflake data using what? Materialized views, external tables, how does that work? >> Some combination of all the above. So we've had in Snowflake a capability called external tables which we refer to, it goes hand in hand with this notion of external stages. Basically through the combination of those two capabilities, it's a metadata layer on data wherever it resides. So customers have actually used this in Snowflake for data lake data outside of Snowflake in the Cloud up until this point. So it's effectively an extension of that functionality into the Dell on-premises world, so that we can tap into those things. So we use the external stages to expose all the metadata about what's in the Dell environment. And then we build external tables in Snowflake so that data looks like it is in Snowflake. And then the experience for the analyst or whomever it is, is exactly as though that data lives in the Snowflake world. >> Okay. So for a while you've allowed non-native Snowflake data but it had to be in the Cloud. >> Correct. >> It was the first time it's on-prem, >> that's correct >> that's the innovation here. Okay. And if I want to bring it into the Cloud, can I? >> Yeah, the connection here will help in a migration sense as well, right? So that's the good thing is, it's really giving the user the choice. So we are integrating together as partners to make connection as seamless as possible. And then the end user will say like, look I've got data that needs to live on-premises, for whatever reasons, data sovereignty whatever they decide. And they can keep it there and still do the analytics in another place. But if there's a need and a desire to use this as an opportunity to migrate some of that data to Cloud, that connection between our two platforms will make that easier. >> Well, Michael always says, "Hey, it's customer choice, we're flexible." So you're cool with that? That's been the mission since we kind of came together, right? Is if our customers needed to stay in their data center, if that makes more sense from a cost perspective or, you know, a data gravity perspective, then they can do that. But we also want to help them unlock the value of that data. So if they need to copy it up to the public Cloud and take advantage of it, we're going to integrate directly with Snowflake to make that really easy to do. >> So there are engineering integrations here, obviously that's required. Can you describe what that looks like? Give us the details on when it's available. >> Sure. So it's going to be sort of second half this year that you'll see, we're demoing it this week, but the availability we second half this year. And fundamentally, it's the way Clark described it, that Snowflake will reach into our S3 interface using the standard S3 interface. We're qualifying between the way they expect that S3 interface to present the data and the way our platform works, just to ensure that there's smooth interaction between the two. So that's sort of the first simplest use case. And then the second example we gave where the customer can copy some of that data up to the public Cloud. We're basically copying between two S3 buckets and making sure that Snowflake's Snowpipe is aware that data's being made available and can easily ingest it. >> And then that just goes into a virtual warehouse- >> Exactly. >> and customer does to know or care. >> Yep Exactly. >> Yeah. >> The compute happens in Snowflake the way it does in any other manner. >> And I know you got to crawl, walk, run second half of this year, but I would imagine, okay, you're going to start with AWS, correct? And then eventually you go to other Clouds. I mean, that's going to take other technical integrations, I mean, obviously. So should we assume there's a roadmap here or is this a one and done? >> I would assume that, I mean, based on our multi-Cloud approach, that's kind of our approach at least, yeah. >> Kind of makes sense, right? I mean, that would seem to be a natural progression. My other thought was, okay, I've got operational systems. They might be transaction systems running on a on a PowerMax. >> Yeah. >> Is there a way to get the data into an object store and make that available, now that opens up even more workloads. I know you're not committing to doing that, but it just, conceptually, it seems like something a customer might want to do. >> Yeah. I, a hundred percent, agree. I mean, I think when we brought our team together we started with a blank slate. It was what's the best solution we can build. We landed on this sort of first step, but we got lots of feedback from a lot of our big joint customers about you know, this system over there, this potential integration over here, and whether it's, you know, PowerMax type systems or other file workloads with native Snowflake data types. You know, I think this is just the beginning, right? We have lots of potential here. >> And I don't think you've announced pricing, right? It's premature for that. But have you thought about, and how are you thinking about the pricing model? I mean, you're a consumption based pricing, is that kind of how this is going to work? Or is it a sort of a new pricing model or haven't you figured that out yet? >> I don't know if you've got any details on that, but from a Snowflake perspective, I would assume it's consistent with how our customers engage with us today. >> Yeah. >> And we'll offer both possibilities, right? So you can either continue with the standard, you know, sort of CapEx motion, maybe that's the most optimal for you from a cost perspective, or you can take advantage through our OpEx option, right? So you can do consumption on-prem also. >> Okay. So it could be a dual model, right? Depending on what the customer wants. If they're a Snowflake customer, obviously it's going to be consumption based, however, you guys price. What's happening, Clark, in in the market? Explain why Snowflake has so much momentum and, you know, traction in the marketplace. >> So like I spent a lot of time doing analysis on why we win and lose, core part of my role. And, you know, there's a couple of, there's really three things that come up consistently as to why people people are really excited about Snowflake platform. One is the most simplest thing of all. It feels like is just ease of use and it just works, right? And I think the way that this platform was built for the Cloud from the ground up all the way back 10 years ago, really a lot allows us to deliver that seamless experience of just like instant compute when you want it, it goes away, you know, only pay for what you use. Very few knobs to turn and things like that. And so people absolutely love that factor. The other is multi-Cloud. So, you know, there's definitely a lot of organizations out there that have a multi-Cloud strategy, and, you know, what that means to them can be highly variable, but regardless, they want to be able to interact across Clouds in some capacity. And of course we are a single platform, like literally one single interface, consistent across all the three Cloud providers that we work upon. And it gives them that flexibility to mix and match Cloud infrastructure under any Snowflake however they see fit. The last piece of it is sharing. And, you know, I think it's that ability as I kind of alluded to around like breaking down organizational silos, and allow people to be able to actually connect with each other in ways that you couldn't do before. Like, if you think about how you and I would've shared data before, I'd be like, "Hey, Dave, I'm going to unload this table into a spreadsheet and I'm going to send it over in email." And there's the whole host of issues that get introduced in that and world, now it's like instantly available. I have a lot of control over it, it's governed it's all these other things. And I can create kind of walled gardens, so to speak, of how far out I want that to go. It could be in a controlled environment of organizations that I want to collaborate with, or I can put it on our marketplace and expose it to the whole world, because I think there's a value in that. And if I choose I can monetize it, right? So those, you know, the ease of use aspect of it, absolutely, it's just a fantastic platform. The multi-Cloud aspect of it and our unique differentiation around sharing in our marketplace and monetization. >> Yeah, on the sharing front. I mean, it's now discoverable. Like if you send me an email, like what'd you call that? When did you send that email? And then the same time I can forward that to somebody else's not governed. >> Yeah. >> All right. So that just be creates a nightmare for the compliance. >> Right. Yeah. You think about how you revoke access in that situation. You just don't, right? Now I can just turn it off and you go in to run your query. >> Don't get access on that data anymore. Yeah. Okay. And then the other thing I wanted to ask you, Clark is Snowflake started really as analytics platform, simplifying data warehousing, you're moving into that world of data science, you know, the whole data lake movement, bringing those two worlds together. You know, I was talking to Ben Ward about this, maybe there's a semantic layer that helps us kind of talk between those two worlds, but you don't care, right? If it's in an object store, it can play in both of those worlds, right? >> That's right. >> Yeah, it's up to you to figure it out and the customer- >> Yeah. >> from a storage standpoint. Here it is, serve it up. >> And that's the thrust of this announcement, right? Is bringing together two great companies, the Dell platform, the Snowflake platform, and allowing organizations to bring that together. And they decide like it, as we all know, customers decide how they're going to build their architecture. And so this is just another way that we're helping them leverage the capabilities of our two great platforms. >> Does this push or pull or little bit of both? I mean, where'd this come from? Or customers saying, "Hey, it would be kind of cool if we could have this." Or is it more, "Hey, what do you guys think?" You know, where are you at with that? >> It was definitely both, right? I mean, so we certainly started with, you know, a high level idea that, you know, the technologies are complimentary, right? I mean, as Clark just described, and at the same time we had customers coming to us saying, "Hey, wait a minute, I'm doing this over here, and this over here, how can I make this easier?" So that was like I said, we started with a blank sheet and lots of long customer conversations and this is what resulted. So >> So what are the sequence of events to kind of roll this out? You said it's second half, you know, when do you start getting customers involved? Do you have your already, you know, to poke at this and what's that look like? >> Yeah, sure. I can weigh in there. So, absolutely. We've had a few of our big customers that have been involved sort of in the design already who understand how they want to use it. So I think our expectation is that now that the sort of demonstrations have been in place, we have some pre functionality, we're going to see some initial testing and usage, some beta type situations with our customers. And then second half, we'll ramp from there. >> It's got to be a huge overlap between Dell customers and Snowflake customers. I mean, it's hundred billion. You can't not bump into Dell somewhere. >> Exactly. Yeah, you know. >> So where do you guys want to see this relationship go, kind of how should we measure success? Maybe you could each give your perspectives of that. >> I mean, for us, I think it's really showing the value of the Snowflake platform in this new world where there's a whole new ecosystem of data that is accessible to us, right? So seeing those organizations that are saying like, "Look, I'm doing new things with on-premises data that I didn't think that I could do before", or, "I'm driving efficiency in how I do analytics, and data engineering, and data science, in ways that I couldn't do before," 'cause they were locked out of using a Snowflake-like technology, right? So I think for me, that's going to be that real excitement. I'm really curious to see how the collaboration and the sharing component comes into this, you know, where you can think of having an on-premises data strategy and a need, right? But you can really connect to Cloud native customers and partners and suppliers that live in the Snowflake ecosystem, and that wasn't possible before. And so that is very conceivable and very possible through this relationship. So seeing how those edges get created in in our world and how people start to collaborate across data, both in the Cloud and on-prem is going to be really exciting. >> I remember I asked Frank, it was kind of early in the pandemic. I asked him, come on, tell me about how you're managing things. And he was awesome. And I asked him to at the time, you know, "You're ever going to do, you know, bring this platform on-prem?" He's like unequivocal, "No way, that's never going to happen. We're not going to do it halfway house ware Cloud only." And I kept thinking, but there's got to be a way to expand that team. There's so much data out there, and so boom, now we see the answer . Martin, from your standpoint, what does success look like? >> I think it starts with our partnership, right? So I've been doing this a long time. Probably the first time I've worked so closely with a partner like Snowflake. Joint customer conversations, joint solutioning, making sure what we're building is going to be really, truly as useful as possible to them. And I think we're going to let them guide us as we go forward here, right? You mentioned, you know, systems or record or other potential platforms. We're going to let them tell us where exactly the most value will come from the integration between the two companies. >> Yeah. Follow data. I mean, remember in the old days a hardware company like Dell would go to an ISP like Snowflake and say, "Hey, we ran some benchmarks. Your software runs really fast on our hardware, can we work together?" And you go, "Yeah, of course. Yeah, no problem." But wow! What a different dynamic it is today. >> Yeah. Yeah, absolutely. >> All right guys. Hey, thanks so much for coming to theCube. It's great to see you. We'll see you at the Snowflake Summit in June. >> Snowflake Summit in a month and a half. >> Looking forward to that. All right. Thank you again. >> Thank you Dave. >> All right. Keep it right there everybody. This is Dave Vellante, wall to wall coverage of Dell Tech World 2022. We'll be right back. (gentle music)

>> theCube presents Dell Technologies World, brought to you by Dell. >> Hi everyone, welcome back to Dell Technologies World 2022. You're watching theCube's coverage of this, three-day coverage wall to wall. My name is David Vellante John Furrier's here, Lisa Martin, David Nicholson. Talk of the town here is data. And one of the big announcements at the show is Snowflake and Dell partnering up, building ecosystems. Snowflake reaching into on-prem, allowing customers to actually access the Snowflake Data Cloud without moving the data or if they want to move the data they can. This is really one of the hotter announcements of the show. Martin Glynn is here, he's the Senior Director of Storage Product Management at Dell Technologies. And Clark Patterson, he's the Head of Product Marketing for Snowflake. Guys, welcome. >> Thanks for having us. >> So a lot of buzz around this and, you know, Clark, you and I have talked about the need to really extend your data vision. And this really is the first step ever you've taken on-prem. Explain the motivation for this from your customer's perspective. >> Yeah. I mean, if you step back and think about Snowflake's vision and our mission of mobilizing the world's data, it's all around trying to break down silos for however customers define what a silo is, right? So we've had a lot of success breaking down silos from a workload perspective where we've expanded the platform to be data warehousing, and data engineering, and machine learning, and data science, and all the kind of compute intensive ways that people work with us. We've also had a lot of success in our sharing capabilities and how we're breaking down silos of organizations, right? So I can share data more seamlessly within my team, I can do it across totally disparate organizations, and break down silos that way. So this partnership is really like the next leg of the stool, so to speak, where we're breaking down the silos of the the data and where the data lives ultimately, right? So up until this point, Cloud, all focus there, and now we have this opportunity with Dell to expand that and into on-premises world and people can bring all those data sets together. >> And the data target for this Martin, is Dell ECS, right? Your object store, and it's got S3 compatibility. Explain that. >> Yeah, we've actually got sort of two flavors. We'll start with ECS, which is our turnkey object storage solution. Object storage offers sort of the ultimate in flexibility, you know, potential performance, ease of use, right? Which is why it fits so well with Snowflake's mission for sort of unlocking, you know, the data within the data center. So we'll offer it to begin with ECS, and then we also recently announced our software defined object scale solution. So add even more flexibility there. >> Okay. And the clock, the way it works is I can now access non-native Snowflake data using what? Materialized views, external tables, how does that work? >> Some combination of all the above. So we've had in Snowflake a capability called external tables which we refer to, it goes hand in hand with this notion of external stages. Basically through the combination of those two capabilities, it's a metadata layer on data wherever it resides. So customers have actually used this in Snowflake for data lake data outside of Snowflake in the Cloud up until this point. So it's effectively an extension of that functionality into the Dell on-premises world, so that we can tap into those things. So we use the external stages to expose all the metadata about what's in the Dell environment. And then we build external tables in Snowflake so that data looks like it is in Snowflake. And then the experience for the analyst or whomever it is, is exactly as though that data lives in the Snowflake world. >> Okay. So for a while you've allowed non-native Snowflake data but it had to be in the Cloud. >> Correct. >> It was the first time it's on-prem, >> that's correct >> that's the innovation here. Okay. And if I want to bring it into the Cloud, can I? >> Yeah, the connection here will help in a migration sense as well, right? So that's the good thing is, it's really giving the user the choice. So we are integrating together as partners to make connection as seamless as possible. And then the end user will say like, look I've got data that needs to live on-premises, for whatever reasons, data sovereignty whatever they decide. And they can keep it there and still do the analytics in another place. But if there's a need and a desire to use this as an opportunity to migrate some of that data to Cloud, that connection between our two platforms will make that easier. >> Well, Michael always says, "Hey, it's customer choice, we're flexible." So you're cool with that? That's been the mission since we kind of came together, right? Is if our customers needed to stay in their data center, if that makes more sense from a cost perspective or, you know, a data gravity perspective, then they can do that. But we also want to help them unlock the value of that data. So if they need to copy it up to the public Cloud and take advantage of it, we're going to integrate directly with Snowflake to make that really easy to do. >> So there are engineering integrations here, obviously that's required. Can you describe what that looks like? Give us the details on when it's available. >> Sure. So it's going to be sort of second half this year that you'll see, we're demoing it this week, but the availability we second half this year. And fundamentally, it's the way Clark described it, that Snowflake will reach into our S3 interface using the standard S3 interface. We're qualifying between the way they expect that S3 interface to present the data and the way our platform works, just to ensure that there's smooth interaction between the two. So that's sort of the first simplest use case. And then the second example we gave where the customer can copy some of that data up to the public Cloud. We're basically copying between two S3 buckets and making sure that Snowflake's Snowpipe is aware that data's being made available and can easily ingest it. >> And then that just goes into a virtual warehouse- >> Exactly. >> and customer does to know or care. >> Yep Exactly. >> Yeah. >> The compute happens in Snowflake the way it does in any other manner. >> And I know you got to crawl, walk, run second half of this year, but I would imagine, okay, you're going to start with AWS, correct? And then eventually you go to other Clouds. I mean, that's going to take other technical integrations, I mean, obviously. So should we assume there's a roadmap here or is this a one and done? >> I would assume that, I mean, based on our multi-Cloud approach, that's kind of our approach at least, yeah. >> Kind of makes sense, right? I mean, that would seem to be a natural progression. My other thought was, okay, I've got operational systems. They might be transaction systems running on a on a PowerMax. >> Yeah. >> Is there a way to get the data into an object store and make that available, now that opens up even more workloads. I know you're not committing to doing that, but it just, conceptually, it seems like something a customer might want to do. >> Yeah. I, a hundred percent, agree. I mean, I think when we brought our team together we started with a blank slate. It was what's the best solution we can build. We landed on this sort of first step, but we got lots of feedback from a lot of our big joint customers about you know, this system over there, this potential integration over here, and whether it's, you know, PowerMax type systems or other file workloads with native Snowflake data types. You know, I think this is just the beginning, right? We have lots of potential here. >> And I don't think you've announced pricing, right? It's premature for that. But have you thought about, and how are you thinking about the pricing model? I mean, you're a consumption based pricing, is that kind of how this is going to work? Or is it a sort of a new pricing model or haven't you figured that out yet? >> I don't know if you've got any details on that, but from a Snowflake perspective, I would assume it's consistent with how our customers engage with us today. >> Yeah. >> And we'll offer both possibilities, right? So you can either continue with the standard, you know, sort of CapEx motion, maybe that's the most optimal for you from a cost perspective, or you can take advantage through our OpEx option, right? So you can do consumption on-prem also. >> Okay. So it could be a dual model, right? Depending on what the customer wants. If they're a Snowflake customer, obviously it's going to be consumption based, however, you guys price. What's happening, Clark, in in the market? Explain why Snowflake has so much momentum and, you know, traction in the marketplace. >> So like I spent a lot of time doing analysis on why we win and lose, core part of my role. And, you know, there's a couple of, there's really three things that come up consistently as to why people people are really excited about Snowflake platform. One is the most simplest thing of all. It feels like is just ease of use and it just works, right? And I think the way that this platform was built for the Cloud from the ground up all the way back 10 years ago, really a lot allows us to deliver that seamless experience of just like instant compute when you want it, it goes away, you know, only pay for what you use. Very few knobs to turn and things like that. And so people absolutely love that factor. The other is multi-Cloud. So, you know, there's definitely a lot of organizations out there that have a multi-Cloud strategy, and, you know, what that means to them can be highly variable, but regardless, they want to be able to interact across Clouds in some capacity. And of course we are a single platform, like literally one single interface, consistent across all the three Cloud providers that we work upon. And it gives them that flexibility to mix and match Cloud infrastructure under any Snowflake however they see fit. The last piece of it is sharing. And, you know, I think it's that ability as I kind of alluded to around like breaking down organizational silos, and allow people to be able to actually connect with each other in ways that you couldn't do before. Like, if you think about how you and I would've shared data before, I'd be like, "Hey, Dave, I'm going to unload this table into a spreadsheet and I'm going to send it over in email." And there's the whole host of issues that get introduced in that and world, now it's like instantly available. I have a lot of control over it, it's governed it's all these other things. And I can create kind of walled gardens, so to speak, of how far out I want that to go. It could be in a controlled environment of organizations that I want to collaborate with, or I can put it on our marketplace and expose it to the whole world, because I think there's a value in that. And if I choose I can monetize it, right? So those, you know, the ease of use aspect of it, absolutely, it's just a fantastic platform. The multi-Cloud aspect of it and our unique differentiation around sharing in our marketplace and monetization. >> Yeah, on the sharing front. I mean, it's now discoverable. Like if you send me an email, like what'd you call that? When did you send that email? And then the same time I can forward that to somebody else's not governed. >> Yeah. >> All right. So that just be creates a nightmare for the compliance. >> Right. Yeah. You think about how you revoke access in that situation. You just don't, right? Now I can just turn it off and you go in to run your query. >> Don't get access on that data anymore. Yeah. Okay. And then the other thing I wanted to ask you, Clark is Snowflake started really as analytics platform, simplifying data warehousing, you're moving into that world of data science, you know, the whole data lake movement, bringing those two worlds together. You know, I was talking to Ben Ward about this, maybe there's a semantic layer that helps us kind of talk between those two worlds, but you don't care, right? If it's in an object store, it can play in both of those worlds, right? >> That's right. >> Yeah, it's up to you to figure it out and the customer- >> Yeah. >> from a storage standpoint. Here it is, serve it up. >> And that's the thrust of this announcement, right? Is bringing together two great companies, the Dell platform, the Snowflake platform, and allowing organizations to bring that together. And they decide like it, as we all know, customers decide how they're going to build their architecture. And so this is just another way that we're helping them leverage the capabilities of our two great platforms. >> Does this push or pull or little bit of both? I mean, where'd this come from? Or customers saying, "Hey, it would be kind of cool if we could have this." Or is it more, "Hey, what do you guys think?" You know, where are you at with that? >> It was definitely both, right? I mean, so we certainly started with, you know, a high level idea that, you know, the technologies are complimentary, right? I mean, as Clark just described, and at the same time we had customers coming to us saying, "Hey, wait a minute, I'm doing this over here, and this over here, how can I make this easier?" So that was like I said, we started with a blank sheet and lots of long customer conversations and this is what resulted. So >> So what are the sequence of events to kind of roll this out? You said it's second half, you know, when do you start getting customers involved? Do you have your already, you know, to poke at this and what's that look like? >> Yeah, sure. I can weigh in there. So, absolutely. We've had a few of our big customers that have been involved sort of in the design already who understand how they want to use it. So I think our expectation is that now that the sort of demonstrations have been in place, we have some pre functionality, we're going to see some initial testing and usage, some beta type situations with our customers. And then second half, we'll ramp from there. >> It's got to be a huge overlap between Dell customers and Snowflake customers. I mean, it's hundred billion. You can't not bump into Dell somewhere. >> Exactly. Yeah, you know. >> So where do you guys want to see this relationship go, kind of how should we measure success? Maybe you could each give your perspectives of that. >> I mean, for us, I think it's really showing the value of the Snowflake platform in this new world where there's a whole new ecosystem of data that is accessible to us, right? So seeing those organizations that are saying like, "Look, I'm doing new things with on-premises data that I didn't think that I could do before", or, "I'm driving efficiency in how I do analytics, and data engineering, and data science, in ways that I couldn't do before," 'cause they were locked out of using a Snowflake-like technology, right? So I think for me, that's going to be that real excitement. I'm really curious to see how the collaboration and the sharing component comes into this, you know, where you can think of having an on-premises data strategy and a need, right? But you can really connect to Cloud native customers and partners and suppliers that live in the Snowflake ecosystem, and that wasn't possible before. And so that is very conceivable and very possible through this relationship. So seeing how those edges get created in in our world and how people start to collaborate across data, both in the Cloud and on-prem is going to be really exciting. >> I remember I asked Frank, it was kind of early in the pandemic. I asked him, come on, tell me about how you're managing things. And he was awesome. And I asked him to at the time, you know, "You're ever going to do, you know, bring this platform on-prem?" He's like unequivocal, "No way, that's never going to happen. We're not going to do it halfway house ware Cloud only." And I kept thinking, but there's got to be a way to expand that team. There's so much data out there, and so boom, now we see the answer . Martin, from your standpoint, what does success look like? >> I think it starts with our partnership, right? So I've been doing this a long time. Probably the first time I've worked so closely with a partner like Snowflake. Joint customer conversations, joint solutioning, making sure what we're building is going to be really, truly as useful as possible to them. And I think we're going to let them guide us as we go forward here, right? You mentioned, you know, systems or record or other potential platforms. We're going to let them tell us where exactly the most value will come from the integration between the two companies. >> Yeah. Follow data. I mean, remember in the old days a hardware company like Dell would go to an ISP like Snowflake and say, "Hey, we ran some benchmarks. Your software runs really fast on our hardware, can we work together?" And you go, "Yeah, of course. Yeah, no problem." But wow! What a different dynamic it is today. >> Yeah. Yeah, absolutely. >> All right guys. Hey, thanks so much for coming to theCube. It's great to see you. We'll see you at the Snowflake Summit in June. >> Snowflake Summit in a month and a half. >> Looking forward to that. All right. Thank you again. >> Thank you Dave. >> All right. Keep it right there everybody. This is Dave Vellante, wall to wall coverage of Dell Tech World 2022. We'll be right back. (gentle music)

>>Live from Miami, Florida. It's the cube covering IBM's data and AI forum brought to you by IBM. >>Welcome everybody to the port of Miami. My name is Dave Vellante and you're watching the cube, the leader in live tech coverage. We go out to the events, we extract the signal from the noise and we're here at the IBM data and AI form. The hashtag is data AI forum. This is IBM's. It's formerly known as the, uh, IBM analytics university. It's a combination of learning peer network and really the focus is on AI and data. And there are about 1700 people here up from, Oh, about half of that last year, uh, when it was the IBM, uh, analytics university, about 600 customers, a few hundred partners. There's press here, there's, there's analysts, and of course the cube is covering this event. We'll be here for one day, 128 hands-on sessions or ER or sessions, 35 hands on labs. As I say, a lot of learning, a lot of technical discussions, a lot of best practices. >>What's happening here. For decades, our industry has marched to the cadence of Moore's law. The idea that you could double the processor performance every 18 months, doubling the number of transistors, you know, within, uh, the footprint that's no longer what's driving innovation in the it and technology industry today. It's a combination of data with machine intelligence applied to that data and cloud. So data we've been collecting data, we've always talked about all this data that we've collected and over the past 10 years with the advent of lower costs, warehousing technologies in file stores like Hadoop, um, with activity going on at the edge with new databases and lower cost data stores that can handle unstructured data as well as structured data. We've amassed this huge amount of, of data that's growing at a, at a nonlinear rate. It's, you know, this, the curve is steepening is exponential. >>So there's all this data and then applying machine intelligence or artificial intelligence with machine learning to that data is the sort of blending of a new cocktail. And then the third piece of that third leg of that stool is the cloud. Why is the cloud important? Well, it's important for several reasons. One is that's where a lot of the data lives too. It's where agility lives. So cloud, cloud, native of dev ops, and being able to spin up infrastructure as code really started in the cloud and it's sort of seeping to to on prem, slowly and hybrid and multi-cloud, ACC architectures. But cloud gives you not only that data access, not only the agility, but also scale, global scale. So you can test things out very cheaply. You can experiment very cheaply with cloud and data and AI. And then once your POC is set and you know it's going to give you business value and the business outcomes you want, you can then scale it globally. >>And that's really what what cloud brings. So this forum here today where the big keynotes, uh, Rob Thomas kicked it off. He uh, uh, actually take that back. A gentleman named Ray Zahab, he's an adventure and ultra marathon or kicked it off. This Jude one time ran 4,500 miles in 111 days with two ultra marathon or colleagues. Um, they had no days off. They traveled through six countries, they traversed Africa, the continent, and he took two showers in a 111 days. And his whole mission is really talking about the power of human beings, uh, and, and the will of humans to really rise above any challenge would with no limits. So that was the sort of theme that, that was set for. This, the, the tone that was set for this conference that Rob Thomas came in and invoked the metaphor of superheroes and superpowers of course, AI and data being two of those three superpowers that I talked about in addition to cloud. >>So Rob talked about, uh, eliminating the good to find the great, he talked about some of the experiences with Disney's ward. Uh, ward Kimball and Stanley, uh, ward Kimball went to, uh, uh, Walt Disney with this amazing animation. And Walter said, I love it. It was so funny. It was so beautiful, was so amazing. Your work 283 days on this. I'm cutting it out. So Rob talked about cutting out the good to find, uh, the great, um, also talking about AI is penetrated only about four to 10% within organizations. Why is that? Why is it so low? He said there are three things that are blockers. They're there. One is data and he specifically is referring to data quality. The second is trust and the third is skillsets. So he then talked about, you know, of course dovetailed a bunch of IBM products and capabilities, uh, into, you know, those, those blockers, those challenges. >>He talked about two in particular, IBM cloud pack for data, which is this way to sort of virtualize data across different clouds and on prem and hybrid and and basically being able to pull different data stores in, virtualize it, combine join data and be able to act on it and apply a machine learning and AI to it. And then auto AI a way to basically machine intelligence for artificial intelligence. In other words, AI for AI. What's an example? How do I choose the right algorithm and that's the best fit for the use case that I'm using. Let machines do that. They've got experience and they can have models that are trained to actually get the best fit. So we talked about that, talked about a customer, a panel, a Miami Dade County, a Wunderman Thompson, and the standard bank of South Africa. These are incumbents that are using a machine intelligence and AI to actually try to super supercharge their business. We heard a use case with the Royal bank of Scotland, uh, basically applying AI and driving their net promoter score. So we'll talk some more about that. Um, and we're going to be here all day today, uh, interviewing executives, uh, from, uh, from IBM, talking about, you know, what customers are doing with a, uh, getting the feedback from the analysts. So this is what we do. Keep it right there, buddy. We're in Miami all day long. This is Dave Olanta. You're watching the cube. We'll be right back right after this short break..