>>Okay. Now we're going to dig into the data landscape and cloud of course. And talk a little bit more about that with drew Allen. He's a managing director at Accenture drew. Welcome. Great to see you. Thank you. So let's talk a little bit about, you know, you've been in this game for a number of years. Uh, you've got a particular expertise in, in, in data and finance and insurance. I mean, you think about it within the data and analytics world, even our language is changing. You know, we don't say talk about big data so much anymore. We, we talk more about digital, you know, or, or, or data-driven when you think about sort of where we've come from and where we're going, what are the puts and takes that you have with regard to what's going on in the business today? >>Well, thanks for having me. Um, you know, I think some of the trends we're seeing in terms of challenges and puts some takes are that a lot of companies are already on this digital transformation journey. Um, they focused on customer experience is kind of table stakes. Everyone wants to focus on that and kind of digitizing their channels. But a lot of them are seeing that, you know, a lot of them don't even own their, their channels necessarily. So like we're working with a big cruise line, right. And yes, they've invested in digitizing what they own, but a lot of the channels that they sell through, they don't even own, right. It's the travel agencies or third-party real sellers. So having the data to know where, you know, where those agencies are, that that's something that they've discovered. And so there's a lot of big focus on not just digitizing, but also really understanding your customers and going across products because a lot of the data has built, been built up in individual channels and in digital products. >>And so bringing that data together is something that customers that have really figured out in the last few years is a big differentiator. And what we're seeing too, is that a big trend that the data rich are getting richer. So companies that have really invested in data, um, are having, uh, an outside market share and outside earnings per share and outside revenue growth. And it's really being a big differentiator. And I think for companies just getting started in this, the thing to think about is one of the missteps is to not try to capture all the data at once. The average company has, you know, 10,000, 20,000 data elements individually, when you want to start out, you know, 500, 300 critical data elements, about 5% of the data of a company drives 90% of the business value. So focusing on, on those key critical data elements is really what you need to govern first and really invest in first. And so that's something we tell companies at the beginning of their data strategy is first focus on those critical data elements, really get a handle on governing that data, organizing that data and building data products around >>That data. You can't boil the ocean. Right. And so, and I, I feel like pre pandemic, there was a lot of complacency. Oh yeah, we'll get to that. You know, not on my watch, I'll be retired before that, you know, it becomes a minute. And then of course the pandemic was, I call it sometimes a forced March to digital. So in many respects, it wasn't planned. It just ha you know, you had to do it. And so now I feel like people are stepping back and saying, okay, let's now really rethink this and do it right. But is there, is there a sense of urgency, do you think? >>Absolutely. I think with COVID, you know, we were working with, um, a retailer where they had 12,000 stores across the U S and they had didn't have the insights where they could drill down and understand, you know, with the riots and with COVID was the store operational, you know, with the supply chain of they having multiple, uh, distributors, what did they have in stock? So there are millions of data points that you need to drill down, down at the cell level, at the store level to really understand how's my business performing. And we like to think about it for like a CEO and his leadership team of like, think of it as a digital cockpit, right? You think about a pilot, they have a cockpit with all these dials and, um, dashboards, essentially understanding the performance of their business. And they should be able to drill down and understand for each individual, you know, unit of their work, how are they performing? That's really what we want to see for businesses. Can they get down to that individual performance to really understand how their businesses and >>The ability to connect those dots and traverse those data points and not have to go in and come back out and go into a new system and come back out. And that's really been a lot of the frustration where does machine intelligence and AI fit in? Is that sort of a dot connector, if you will, and an enabler, I mean, we saw, you know, decades of the, the AI winter, and then, you know, there's been a lot of talk about it, but it feels like with the amount of data that we've collected over the last decade and the, the, the low costs of processing that data now, it feels like it's, it's real. Where do you see AI fitting in? Yeah, >>I mean, I think there's been a lot of innovation in the last 10 years with, um, the low cost of storage and computing and these algorithms in non-linear, um, you know, knowledge graphs, and, um, um, a whole bunch of opportunities in cloud where what I think the, the big opportunity is, you know, you can apply AI in areas where a human just couldn't have the scale to do that alone. So back to the example of a cruise lines, you know, you may have a ship being built that has 4,000 cabins on the single cruise line, and it's going to multiple deaths that destinations over its 30 year life cycle. Each one of those cabins is being priced individually for each individual destination. It's physically impossible for a human to calculate the dynamic pricing across all those destinations. You need a machine to actually do that pricing. And so really what a machine is leveraging is all that data to really calculate and assist the human, essentially with all these opportunities where you wouldn't have a human being able to scale up to that amount of data >>Alone. You know, it's interesting. One of the things we talked to Mick Halston about earlier was just the everybody's algorithms are out of whack. You know, you look at the airline pricing, you look at hotels it's as a consumer, you would be able to kind of game the system and predict a, they can't even predict these days. And I feel as though that the data and AI are actually going to bring us back into some kind of normalcy and predictability, uh, w what do you see in that regard? >>Yeah, I think it's, I mean, we're definitely not at a point where when I talk to, you know, the top AI engineers and data scientists, we're not at a point where we have what they call broad AI, right? Where you can get machines to solve general knowledge problems, where they can solve one problem, and then a distinctly different problem, right? That's still many years away, but narrow AI, there's still tons of use cases out there that can really drive tons of business performance challenges, tons of accuracy challenges. So, for example, in the insurance industry, commercial lines, where I work a lot of the time, the biggest leakage of loss experience and pricing for commercial insurers is, um, people will go in as an agent and they'll select an industry to say, you know what, I'm a restaurant business. Um, I'll select this industry code to quote out a policy, but there's, let's say, you know, 12 dozen permutations, you could be an outdoor restaurant. >>You could be a bar, you could be a caterer, and all of that leads to different loss experience. So what this does is they built a machine learning algorithm. We've helped them do this, that actually at the time that they're putting in their name and address, it's crawling across the web and predicting in real time, you know, is this address actually, you know, a business that's a restaurant with indoor dining, does it have a bar is an outdoor dining, and it's that that's able to accurately more price the policy and reduce the loss experience. So there's a lot of that you can do, even with narrow AI that can really drive top line of business results. >>Yeah. I like that term narrow AI because getting things done is important. Let's talk about cloud a little bit because people talk about cloud first public cloud first doesn't necessarily mean public cloud only, of course. So where do you see things like what's the right operating model, the right regime hybrid cloud. We talked earlier about hybrid data help us squint through the cloud landscape. Yeah. >>I mean, I think for most right, most fortune 500 companies, they can't just their fingers and say, let's move all of our data centers to the cloud. They've got to move, you know, gradually. And it's usually a journey that's taking more than two to three plus years, even more than that in some cases. So they're half they have to move their data, uh, incrementally to the cloud. And what that means is that, that they have to move to a hybrid perspective where some of their data is on premise and some of it is publicly on the cloud. And so that's the term hybrid cloud essentially. And so what they've had to think about is from an intelligence perspective, the privacy of that data, where is it being moved? Can they reduce the replication of that data? Because ultimately you like, uh, replicating the data from on-premise to, to the cloud that introduces, you know, errors and data quality issues. So thinking about how do you manage, uh, you know, uh, on-premise and public cloud as a transition is something that Accenture thinks, thinks, and helps our clients do quite a bit. And how do you move them in a manner that's well-organized and well thought about? >>Yeah. So I've been a big proponent of sort of line of business lines of business becoming much more involved in, in the data pipeline, if you will, the data process, if you think about our major operational systems, they all have sort of line of business context in them. Then the salespeople, they know the CRM data and, you know, logistics folks. There they're very much in tune with ERP. I almost feel like for the past decade, the lines of business have been somewhat removed from the, the data team, if you will. And that, that seems to be changing. What are you seeing in terms of the line of line of business being much more involved in sort of end to end ownership if you will, if I can use that term of, uh, of the data and sort of determining things like helping determine anyway, the data quality and things of that nature. Yeah. >>I mean, I think this is where thinking about your data operating model and thinking about ideas of a chief data officer and having data on the CEO agenda, that's really important to get the lines of business, to really think about data sharing and reuse, and really getting them to, you know, kind of unlock the data because they do think about their data as a fiefdom data has value, but you've got to really get organizations in their silos to open it up and bring that data together because that's where the value is. You know, data doesn't operate. When you think about a customer, they don't operate in their journey across the business in silo channels. They don't think about, you know, I use only the web and then I use the call center, right? They think about that as just one experience. And that data is a single journey. >>So we like to think about data as a product. You know, you should think about a data in the same way. You think about your products as, as products, you know, data as a product, you should have the idea of like every two weeks you have releases to it. You have an operational resiliency to it. So thinking about that, where you can have a very product mindset to delivering your data, I think is very important for the success. And that's where kind of, there's not just the things about critical data elements and having the right platform architecture, but there's a soft stuff as well, like a product mindset to data, having the right data, culture, and business adoption and having the right value set mindset for, for data, I think is really, >>I think data as a product is a very powerful concept. And I think it maybe is uncomfortable to some people sometimes. And I think in the early days of big data, if you will, people thought, okay, data is a product going to sell my data, and that's not necessarily what you mean. You mean thinking about products or data that can fuel products that you can then monetize maybe as a product or as a, as, as a service. And I like to think about a new metric in the industry, which is how long does it take me to get from idea of I'm a business person. I have an idea for a data product. How long does it take me to get from idea to monetization? And that's going to be something that ultimately as a business person, I'm going to use to determine the success of my data team and my, my data architecture is, is that kind of thinking starting to really hit the marketplace. >>I mean, I insurers now are working, partnering with, you know, auto manufacturers to monetize, um, driver usage data, you know, on telematics to see, you know, driver behavior on how, you know, how auto manufacturers are using that data. That's very important to insurers, you know, so how an auto manufacturer can monetize that data is very important and also an insurance, you know, cyber insurance, um, are there news new ways we can look at how companies are being attacked with viruses and malware, and is there a way we can somehow monetize that information? So companies that are able to agily, you know, think about how can we, you know, collect this data, bring it together, think about it as a product, and then potentially, you know, sell it as a service is something that, um, company, successful companies are doing >>Great examples of data products, and it might be revenue generating, or it might be in the case of, you know, cyber, maybe it reduces my expected loss. Exactly. And it drops right to my bottom line. What's the relationship between Accenture and cloud era? Do you, I presume you guys meet at the customer, but maybe you could give us some insight as to yeah. So, >>Um, I I'm in the executive sponsor for, um, the Accenture cloud era partnership on the Accenture side. Uh, we do quite a lot of business together and, um, you know, Cloudera has been a great partner for us. Um, and they've got a great product in terms of the Cloudera data platform where, you know, what we do is as a big systems integrator for them, we help, um, you know, configure and we have a number of engineers across the world that come in and help in terms of, um, engineer architects and install, uh, cloud errors, data platform, and think about what are some of those, you know, value cases where you can really think about organizing data and bringing it together for all these different types of use cases. And really just as the examples we thought about. So the telematics, you know, um, in order to realize something like that, you're bringing in petabytes and huge scales of data that, you know, you just couldn't bring on a normal, uh, platform. You need to think about cloud. You need to think about speed of, of data and real-time insights and cloud errors, the right data platform for that. So, um, >>That'd be Cloudera ushered in the modern big data era. We, we kind of all know that, and it was, which of course early on, it was very services intensive. You guys were right there helping people think through there weren't enough data scientists. We've sort of all, all been through that. And of course in your wheelhouse industries, you know, financial services and insurance, they were some of the early adopters, weren't they? Yeah, >>Absolutely. Um, so, you know, an insurance, you've got huge amounts of data with loss history and, um, a lot with IOT. So in insurance, there's a whole thing of like sensorized thing in, uh, you know, taking the physical world and digitizing it. So, um, there's a big thing in insurance where, um, it's not just about, um, pricing out the risk of a loss experience, but actual reducing the loss before it even happens. So it's called risk control or loss control, you know, can we actually put sensors on oil pipelines or on elevators and, you know, reduce, um, you know, accidents before they happen. So we're, you know, working with an insurer to actually, um, listen to elevators as they move up and down and are there signals in just listening to the audio of an elevator over time that says, you know what, this elevator is going to need maintenance, you know, before a critical accident could happen. So there's huge applications, not just in structured data, but in unstructured data like voice and audio and video where a partner like Cloudera has a huge role apply. >>Great example of it. So again, narrow sort of use case for machine intelligence, but, but real value. True. We'll leave it like that. Thanks so much for taking some time. Thank you.

>> Hi, I'm Peter Burroughs Wellcome to wicked bon action >> item from the Cube Studios in Palo Alto, California So today we've got a great conversation, and what we're going to be talking about is hybrid cloud hybrid. Claude's been in the news a lot lately. Largest consequences from changes made by a Ws is they announced Outpost and acknowledged for the first time that there's going to be a greater distribution of data on a greater distribution of function as enterprise has moved to the cloud. We've been on top of this for quite some time, and it actually coined what we call true hybrid cloud, which is the idea that increasingly, we're going to see a need for a common set of capabilities and services in multiple locations so that the cloud could move to the data and not the data automatically being presumed to move to the cloud. >> Now to have that >> conversation and to reveal some new research on what the cost in value propositions of the different options are available. Today. We've >> got David Foyer. David. Welcome to the Cube. Thank you. So, David, let's start. When we talk about Hybrid Cloud, we're seeing a continuum of different options start to emerge. What are the defining characteristics? >> Yes, we're seeing it could continue him emerging. We have what we've called standalone off course. That one is end of the spectrum on DH. There we have multi cloud, and then we have loosely and tightly coupled, and then we have true and as you go up the spectrum. So the dependence upon data depends on the data plane dependence upon low latent see dependance on writing does a systems of record records. All of those increase as we going from from lonely for High Leighton Sea and High Band with all way up to low late. >> So let me see if I got this right. It's true. I've a cloud is at one end and true. Either cloud is low late and see right on into workloads simplest possible administration. That means we're typically goingto have a common stack in all locations. Next to that is this notion of tightly coupled hybrid cloud, which could be higher late. And see, right oriented could probably has a common set of software on all no common mental state. And then, kind of this. This notion of loosely coupled right multi or hybrid cloud, which is low, high late and see, write or read oriented, which may have just a P I level coordination and commonality and all >> that's right. And then you go down even further to just multi cloud, where you're just connecting things, and each of them is independent off each other. >> So if I'm a CEO and I'm looking at a move to a cloud, I have to think about Greenfield applications and the natural distribution of data for those Greenfield applications. And that's going to help me choose which class of hybrid clawed him and he used. But let's talk about the more challenging from a set of scenarios for most CEOs, which is the existing legacy applications as I cry that Rangel yeah, systems of record. As I try to bring those those cloud like experience to those applications, how am I going through that thought process? >> So we have some choices. The choices are I could move it up to lift and shift up to on a one of the clouds by the large clouds, many of them around. And what if I if I do that what I'm need to be looking at is, what is the cost of moving that data? And what is the cost of pushing that up into the cloud and lost the conversion cast if I need to move to another database, >> and I think that's the biggest one. So it just costs of moving the data, which is just uninterested. It's a cost of format changes at our migration and all the other out conversion changes. >> So what I did in my research was focus on systems of record, the the highly expensive, very, very important systems of record, which obviously are fed by a lot of other things their systems, the engagement analytics, etcetera. But those systems of record have to work. They you need to know if you've taken on order, you need to have consistency about that order. You need to know always that you can recover any data you need in your financials, etcetera. All of that is mission critical systems of record. Andi, that's the piece that I focused on here, and I focused on >> sort of. These are loaded and she >> low, very low, latent, right oriented, very right orientated types of applications. And I focused on the oracle because the majority ofthe systems of record run on Oracle databases on the large scale ones, at least so that's what we're we're focusing on here. So I looking at the different options for a C I O off. How they would go on DH. There are three main options open at the moment. There's there's Arkalyk Cloud Cloud, a customer, which gives thie the cloud experience. There is Microsoft as your stack, which has a a Oracle database version of it on DH outposts. But we eliminated outposts not because it's not going to be any good, but because it's not there yet, is >> you get your Razor John thing. >> That's right. So we focused on Oracle on DH as you and we focused on what was the benefit of moving from a traditional environment where you've got best of breed essentially on site to this cloud environment. >> So if we think about it, the normal way of thinking about this kind of a research is that people talk about R. A Y and historically that's been done by looking by keeping the amount of work that's performed has given constant and then looking at how the different technology components compare from a call standpoint. But a move to cloud the promise of a move to cloud is not predicated on lowering costs per se, but may have other financial considerations, of course, but it's really predicated on the notion of the cod experience, which is intended to improve business results. So we think about our lives being a numerator question. Value is the amount of work you do versus the denominator question, which is what resources are consumed to perform that work. It's not just the denominator side we really need to think about. The numerator side is well, you create. So what? What kind of things are we focused >> on? What we think about that value created his consequence of possibilities and options of the cloud. >> Right? So both are important. So so Obviously, when you move to a cloud environment, you can simplify operations. In particular, you can simplify recovery. You, Khun simplify a whole number of things within the shop and those give you extra resources on. Then the question is, Do you just cash in on those resources and say OK, I've made some changes, Or do you use those resources to improve the ability of your systems to work and one important characteristic off it alight and systems of record in particular is that you get depreciation of that asset. Over time, it becomes less fitted to the environment it has started with, so you have to do maintenance on it. You have to do maintenance and work, and as you know most means most work done in my tea shop is on the maintenance side minutes. An enhancement. It's maintenance. An enhancement, yes. So making more resources available on making it easier to do that maintenance are making less, less things that are going to interfere with that faster time to to to maintenance faster time. Two new applications or improvements is really fundamental to systems of record, so that is the value that you can bring to it. And you also bring value with lower of better availability, higher availability as well. So those are the things that we put into the model to see how the different approaches. And we were looking at really a total one. One supplier being responsible for everything, which was the Oracle environment of Oracle clouded customer to a sort of hybrid invite more hybrid environment where you had the the the work environment where you had the equipment coming from different place vendor that the service, the oracle, the as your service coming from Microsoft and, of course, the database coming then from Arkham itself. And we found from tremendous improvement in the value that you could get because of this single source. We found that a better model. >> So the common source led to efficiencies that then allowed a business to generate new classes of value. Because, as you said, you know, seventy plus percent of a night organ orb business is spending. Biology is associate with maintaining which they're enhancing. What's there in a very limited amount is focused on new greenfield or new types of applications. So if you can reduce the amount of time energy that goes into that heritage set of applications those systems of record, the not opens up that frees up resources to do some of the things >> on DH Having inflexibility now with things like As your stack conned in the future E. W. S off. Putting that resource either on premise or in the cloud, means that you can make decisions about where you process things things about where the data is about, where the data needs to be, the best placement of the data for what you're trying to do >> and that that decision is predicated on things like late in sea, but also regulatory, environment and intellectual property, controlling >> the custom moving data up and down. So the three laws of off off the cloud so having that flexibility of moving, keeping it where you want to, is a tremendous value in again in terms ofthe the speed of deployment on the speed of improved. >> So we'll get to the issues surrounding the denominator side of this. I want to come back to that numerator sites that the denominator again is the resources consumed to deliver the work to the business. But when we talk about that denominator side, know you perhaps opening up additional monies to do new types of development new times of work. But take us through some of the issues like you know what is a cloud experience associated with single vendor Faster development. Give us some of the issues that are really driving the value proposition. Look above the line. >> I mean, the whole issue about cloud is that you go on, take away all of the requirements to deal with the hardware deal with the orchestration off the storage deal with all of these things. So instead of taking weeks, months to put in extra resources, you say I want them on is there. >> So you're taking out administrate your taking administrative tasks out of the flow out of the flow, and as a consequence, things happen. Faster is the time of values. One of the first one. Give us another one. >> So obviously the ability to no I have it's a cloud environment. So if you're a vendor of that cloud, what you want to be able to do is to make incremental changes quickly, as opposed to awaiting for a new release and work on a release basis. So that fundamental speed to change speed to improve, bring in new features. Bringing new services a cloud first type model that is a very powerful way for the vendor to push out new things. And for the consumer, too, has absorbed them. >> Right? So the first one is time to value, but also it's lower cost to innovation. >> Yes, faster innovation ability to innovate. And then the third. The third most important part is if you if you re invest those resources that you've saved into new services new capabilities of doing that. To me, the most important thing long term for systems of record is to be able to make them go faster and use that extra Leighton see time there to bring in systems off systems of analytics A. I systems other systems on provide automation of individual business processes, increased automation that is gonna happen over time. That's that's a slow adding to it. But it means you can use those cloud mechanisms, those additional resources, wherever they are. You can use those to provide a clear path to improving the current systems of record. And that is a much faster and more cost effective way than going in for a conversion or moving the data upto the cloud or shifting lift and shift. For these types of acts, >> what kind of they're all kind of related? So I get, I get. I get superior innovation speeds because I'm taking new technology and faster. I get faster time to value because I'm not having to perform much of tasks, and I could get future could imbue additional types of work in support of automation without dramatically expanding the transactional wait and see on arrival rate of turns actions within the system of record. Okay, So how did Oracle and Azure with Oracle stack up in your analysis? >> So first of all, important is both a viable solutions. They both would work okay, but the impact in terms of the total business value, including obviously any savings on people and things like that, was two hundred nineteen eighty three hundred million dollars additional. This was for Robert to come in for a a Fortune two thousand customer, so it was around two billion dollars. So a lot of money over five years, a lot of money. Either way, you would save two hundred million if you were with with the zero but three hundred with the oracle, so that that to me, is far, far higher than the costs of I T. For that particular company, it's It is a strategic decision to be able to get more value out quicker. And for this class of workload on Oracle than Arkalyk, Cloud was the best decision to be absolutely fair If you were on Microsoft's database. And you wanted to go to Microsoft as you. That would be the better bet you would. You would get back a lot of those benefits, >> so stay with him. The stack, if you can't. Correct. All right, So So two billion dollars a year. Five years, ten billion dollars in revenue, roughly between two hundred million and saving for one Congress all around three. Treasure Quest. Oracle three hundred millions were one percent swing. Talk to us about speed value. What >> happens in the numerator side of that equation >> S Oh, so it is lower in caste, but you have a higher. The cast of the actual cloud is a little a little higher. So overall, the pure hardware equipment Cass is is awash is not going to change much. It might be a little bit more expensive. You make the savings a cz? Well, because of the people you less less operators, simpler environment. Those are the savings you're going to make. And then you're going to push those back into into the organization a cz increased value that could be given to the line of business. >> So the closure of the researchers If your CEO, you look at your legacy application going to be difficult to move, and you go with stack. That's best for those legacy applications. And since the vast majority of systems of record or running all scale large scale, then that means work. A cloud of customers is a superior fit for most from a lot of chances. So if you're not there, though, when you look at other options, all right, David Floy er thank you. Thanks very much for being on the Cube today, and you've been watching other wicked bon action >> item from the Cube Studios and Power Rialto, California on Peter Burke's Thanks very much for watching.

>> Welcome to our Palo Alto studio, all of you coming in over the airwaves. It's a wonderful opportunity today to talk about something very important with Computer Associates or, CA Tech, as they're now known. And I want to highlight one point about the slide title, the title they chose for the day, we chose for the day, Cloud and Hybrid IT Analytics for Digital Business. One of the most interesting things that you're going to hear about today is that it's going to keep coming back to business challenges and business problems. At the end of the day that's what the focus needs to be on. While we certainly do want to do more with the technology we have and drive greater effectiveness and utilization out of the technology that we use in our digital business, increasingly the ability to tie technology decisions to business outcomes is possible and all IT professionals must make that effort, as well as all IT vendors, if the community is going to be successful. Now what I'm going to talk about specifically is how cloud monitoring plays inside this drive to increase the effectiveness of business through digital technologies. And to do that, I'm going to talk about a few things. The first thing I'm going to talk about is what is a digital business and how does it impact strategic technology capabilities? Now the reason why this is so important is because there's an enormous amount of conversation in the industry about digital businesses, multi-channel for digital businesses, customer experience for digital businesses, some other attribute. And while those are all examples or potential benefits of digital business, at its core digital business is something else. We want to articulate what that is because it informs all decisions that we're going to make about a lot of different things. The second thing I'm going to talk about is this notion of advanced analytics and how advanced analytics are crucial to not only achieving the outcomes of digital business but also to sustain the effort in the transformation process. And as you might expect, if we're going to use analytics to improve our effectiveness, then we have to be in a position to gather the data that we need from the variety of resources necessary to succeed with a digital business strategy. Those are the three things I'm going to talk about but let's start with this first one. What is digital business and how does it impact technology capabilities? Now to do that, I want to show you something that we're quite proud of here at Wikibon SiliconANGLE because we're a research firm and a company that's dedicated to helping communities make better decision. The power of digital community is clear. It's a very, very important resource, overall, inside any business. And what we do is we have a tool that we call CrowdChat. And the purpose of CrowdChat is to bring together members of the community and surface the best insights they have about their undertakings. Now I'm not using this to just pitch what CrowdChat is, I really want to talk through how this is a representation of the power of digital community. I want to point you to a few things in this slide. First off, note that it's, very importantly, this was from a CrowdChat that we did on 31 January 2017 but the thing to note here is a couple of things. Now let's see if I can click through them here. Well the first thing to note is that it reached 3.4 million people linked to the technology decision making. Think about that. Wikibon SiliconANGLE is not a huge company. We're a very focused company that strongly emphasizes the role that technology can play in helping to make decisions and improve business outcomes. But this CrowdChat reached 3.4 million decision makers as part of our ongoing effort. And it clearly is an indication, ultimately, that today customers, in fact, are at the center of what goes on within digital business decision making. So customers are at the centers of these crucial market information flows. Now this is going to be something we come back to over and over and over. It used to be that folks who sold stuff were the primary centers of what happened with the information flows of the industry. But through social media, tools like CrowdChat and others, today customers are in a much better position overall to establish their voices and share their insights about what works and what doesn't work. In many respects, that is the core focus of digital business. So that leads us to this question of what is digital business. Now I am a fan of Peter Drucker. It's hard to argue with Peter Drucker and it's one of the reasons I start with Peter Drucker is because people don't typically argue with me when I start there. And Peter Drucker famously said many years ago that the purpose of a business is to create and keep a customer. Now you can go on about what about shareholder value, what about employees, and those are all true things. There's no question that that's also important. But the fundamental keeps coming back that if you don't have customers and you don't provide a great experience for those customers, you're not going to have a business. So what's the difference between digital business and business? The biggest difference between digital business and business and in fact how we properly define the concept of digital business is that digital businesses apply data to create and keep customers. That's the basis of digital business. It's how do you use your data assets to differentiate your business and especially to provide a superior experience, a superior value proposition, and superior outcomes for your customers. That is the core of digital business. If you're using data to differentiate how you engage customers, how you provide that experience for customers, and how you improve their outcomes, then you are more digital business than you were yesterday. If you use more data, you are more digital business than your competition. So this is a way of properly thinking about the role of digital business. And to summarize it slightly differently, what we strongly believe is that what decision makers have to do over the course of the next number of years is find ways to put their data to work. That is the fundamental goal of an IT professional today. And increasing, increasingly the goal of many business professionals. Find ways to apply data so that you can increase the work the firm does for customers. That's kind of the simple thread we're trying to pull here. Data, put to work, superior customer experience. Now at the centerpiece of this simple prescriptive is an enormous amount of complexity. A lot of decisions that have to be made because most businesses are not organized around their data. Most businesses don't institutionalize the way they engage customers or perform their work based on what their data assets can provide. Most businesses are built around the hardware, at least if you're an IT person, they're built around the hardware assets or maybe even the application assets. But increasingly it's become incumbent on CIOs and IT leaders to recognize that the central value of the business, at least that they work with, is the data and how that data performs work for the business. So that leads to the second question. Given the enormity of data in the future of digital business, we have to ask the question, "Well what role "is advanced analytics playing to keep us on track "as we thing about, ultimately, driving forward "for a digital business?" Now we draw this picture out to customers to try to explain the things that they'll have to do to become an increasingly digital business. And it starts with this idea that a digital business transformation requires investment in new capabilities, new business capabilities that foster the role that digital assets can play within the business that simplify making decisions about where to put people and how to institutionalize work and ultimately help sustain the value of the data within the business over time. And a way to think about it is that any digital business has to establish the capabilities to better capture data create catalysts from data. Now what do we mean by that? We mean basically that data is a catalyst for action. Data can actually be the source of value if you're a media company, for example. But in most businesses data is a catalyst, the next best action, a better prediction of superior forecast, a faster and simpler, and less expensive report for compliance purposes. Data is a catalyst. So we capture it and we translate it into a catalyst that then can actually guide action. That's the simple set of capabilities that we have to deploy here. Capturing data, turning it into the catalysts that then have consequential impacts in front of customers, provides superior experience and better business. Now if we try to map those prescriptions for business capabilities onto industry buzzwords, here's what we end with. Capture Data, well that's the centerpiece of what the industrial internet of things is about, or the internet of things is about, if we're talking mainly about small devices in a consumer world. Capturing data is essential and IIoT is going to be crucial to that effort as well as mobile computing and other types of things. We like to talk about it sometimes is the internet of things and people. Big data and analytics should be properly thought of as helping businesses turn those streams of information into models and insights that can lead to action. So that's what the whole purpose of what big data analytics is all about. It's not to just capture more data and store more data, it's about using that data that comes from a lot of different locations and turning it into catalysts, sources of value within the business. And the final one is branded customer experience. At the end of the day, what we're talking about is how we're going to use digital technology to better engage our customers, better engage our partners, better engage our markets, and better engage our employees. And increasingly, as customers demonstrate a preference for greater utilization of digital technology in their lives, the whole notion of a branded experience is going to be tied back to how well we provide these essential digital capabilities to our customers in our markets. So analytics plays an incredibly important role here because we've always been pretty good at capturing data and we've always, we're getting better I guess I should say, at utilizing insights from that data that could be gleaned on an episodic basis and turning that into some insight for a customer. Usually really smart people in sales or marketing or manufacturing or product management play that role. But what we're talking about is operationalizing, turning data into value for customers on a continuous ongoing basis. And Analytics is crucial for that and analytics also is crucial to ensure that we could stay on track as we effect these transformations and transitions. Now I want to draw your attention, obviously, to an important piece as we go forward here. And that is this notion how do we capture that data so that it is appropriately prepped and set up so that we can create value from analytics. And that's going to be the basis of the third point that I'm going to talk about. Why is hybrid cloud monitoring emerging as a crucial transformation tool? Now monitoring has been around for a long time. We've been monitoring individual assets to ensure we get greater efficiency and utilization. CA's been a master of that for 30, 35 years. Increasingly though, we need to think about how systems come together in a lot of different ways to increase what we call the plasticity of the infrastructure. The ability of the infrastructure to not only scale but to reconfigure itself in response to the crucial new work that digital businesses have to perform. So how's that going to play out? It's become very popular within the industry to talk about how data is going to move to the cloud. And that's certainly going to happen. There's going to be a lot of data that ends up in the cloud. But as we think about the realities of moving data, data is not just an ephemeral thing. Data has real physical characteristics, real legal implications. And ultimately intellectual property is increasingly rendered in the form of data. And so we have to be very careful how we think about data being moved across the enterprise into any number of different locations. It's one of the most strategic decisions that a board of directors is going to make. How do we handle and take care of our data assets? Now I want to focus just on one element of that. Hopefully provide a simple proof point to make this argument. And that is, if we looked at how data is generated, for example, in an Edge setting. Say we looked at the cost of moving data from a wind farm. A relatively small straightforward wind farm with a number of different sensors. What does it cost to move that data to the cloud? And that's provided here. If we think about the real costs of data, the cost of moving data from an Edge situation, even in a relatively simple example, back to the cloud can be dramatic. Hundreds of thousands of dollars. Limitations based on latencies, concerns about traversing borders that have legal jurisdictions, and obviously also, as I said, the intellectual property realities. But the bottom line here is that it shows that it's going to be much cheaper to process the data in place, process the data close to where the action needs to be taken, than to move it all to the cloud. And we think that's going to become a regular feature of how we think about setting up infrastructure in business in the future. Increasingly, it's not going to be about moving data to the cloud only, we're going to have additional options about moving cloud and cloud services to the data. Increasingly this is going to be the tact that businesses are going to take. It's find ways to move that sense of control, that notion of quality of service, and that flexibility in how we provision infrastructure so that the cloud experience comes to where the event needs to take place. That going forward will be the centerpiece of a lot of technology decision making. It doesn't mean we're not going to move data to the cloud it just means that we're going to be smart about when we do it, how we do it, and understanding when it makes more sense to move the cloud or the cloud set of services closer to the event so that we can process it in place. Now this is a really crucial concern because it suggests there's going to be a greater distribution of data and not a greater centralization of data. And you can probably see where I'm going with this. Greater distribution of data ultimately means that there's going to be a lot more things that require that we have to have visibility into their performance, visibility into how they work. If it was all going to be in one place then we could let someone else actually handle a lot of those questions about what's going on, how is it working. But as our businesses become more digital and our data assets become more central to how we provide customer experience, it means that the resources that we use to generate value out of those assets have to be managed and monitored appropriately. Now we have done a lot of work around this and what our research pretty strongly shows is that over the next 10 years, we're going to see three things happen. First off, we're going to see a lot of investment in public cloud options both in the form of SaaS as well as infrastructure as a service. So that will continue. There's no question that we're going to see some of the big public cloud suppliers become more important. But our expectation also, is we will see significant net new investment in what we call true private cloud. The idea of moving those cloud services on premise so that we can support local events that need high quality data and that kind of capability. The second thing I want to point out here is that while we do expect to see significant net new efficiencies and how we run all these resources, if we look at the cost of labor over the course of operational labor over the course of the next decade, we do expect to see the cost go down about around 7%. So we will see greater productivity in the world of IT labor. But it's not going to crash like many people predict. And one of the reasons it's not going to crash is because of the incredible net new reports of digital assets. But the third thing to note here is that we are not going to see the type of massive dumping of traditional infrastructure that many people predict. There's too many assets, too much value already in place in a lot of systems, and instead what we're going to see is a blending of all of these different capabilities in a rational way so that the business can achieve the digital outcomes that it seeks. The challenge, though, over the course of the next decade, however, is going to be to find ways, while we're going to have all these different resources, be a feature of our technology plan, be a feature of how we run our business. Historically we've tended to think about these in silos and the monitoring challenge that we put in place was to better generate efficiencies out of an individual asset. Well as we go forward, increasingly we need to think about how not one resource works, but how all these resources work. It's time for business to think about the internet not as something that's external, but as the basis for their computing. The internet is a computer. How we slice it up for our business is a statement about how we're going to build a set of distributive capabilities but weave them together so that we have a set of resources that can, in fact, reflect the business needs and support business requirements. And monitoring becomes crucial to that because as we move forward the goal needs to be to be able to enfranchise, federate a lot of these distributive resources into a working coherent statement of how computing serves our business. And that's going to require an approach that is much more focused on how things come together and how things can be bought into a coherent whole as opposed just the efficiency of any single tool or any single device. That's where digital business has to go, how can we bring all of these resources together into a coherent whole that supports our business needs. And that is the goal of the next generation of monitoring is to make that possible. Okay, so as we think about what we've talked about we basically made a couple of points here. The first when we talked about what is digital business, the first point that I made is data is the digital business asset. That's what we're trying to do here is use data to improve the effectiveness of the outcomes that we seek for customers. Digital business elevates IT but forces real and material changes. The second point that I made is how are advanced analytics helping. Well analytics turns business, or turns data into business catalysts that ultimately guide and shape customer experience. Crucial point. And the last point that I want to make is when we think about cloud monitoring remember that if we move forward in the digital world, as you make choices, your brand fails when your infrastructure fails. So as a consequence for those of you who are in the midst of thinking about the future role that monitoring is going to play in your world, choose your suppliers carefully. It's not about having a tool for a device, it's about thinking about how all of this can be, how monitoring can bring a lot of different resources into a coherent picture to ensure that your business is able to process, compute, store, and effect dramatic improvements to customer experience across the entire infrastructure asset. And the last thought that I'll leave you with is that CA Tech has been one of the companies of the vanguard of thinking about how this is going to work over the next decade in the industry.

(upbeat music) >> Welcome back everyone to Supercloud 2, live here in Palo Alto, our studio, where we're doing a live stage performance and virtually syndicating out around the world. I'm John Furrier with Dave Vellante, my co-host with the The Cube here. We've got Kit Colbert, the CTO of VM. We're doing a keynote on Cloud Chaos, the evolution of SuperCloud Architecture Kit. Great to see you, thanks for coming on. >> Yeah, thanks for having me back. It's great to be here for Supercloud 2. >> And so we're going to dig into it. We're going to do a Q&A. We're going to let you present. You got some slides. I really want to get this out there, it's really compelling story. Do the presentation and then we'll come back and discuss. Take it away. >> Yeah, well thank you. So, we had a great time at the original Supercloud event, since then, been talking to a lot of customers, and started to better formulate some of the thinking that we talked about last time So, let's jump into it. Just a few quick slides to sort of set the tone here. So, if we go to the the next slide, what that shows is the journey that we see customers on today, going from what we call Cloud First into this phase that many customers are stuck in, called Cloud Chaos, and where they want to get to, and this is the term customers actually use, we didn't make this up, we heard it from customers. This notion of Cloud Smart, right? How do they use cloud more effectively, more intelligently? Now, if you walk through this journey, customers start with Cloud First. They usually select a single cloud that they're going to standardize on, and when they do that, they have to build out a whole bunch of functionality around that cloud. Things you can see there on the screen, disaster recovery, security, how do they monitor it or govern it? Like, these are things that are non-negotiable, you've got to figure it out, and typically what they do is, they leverage solutions that are specific for that cloud, and that's fine when you have just one cloud. But if we build out here, what we see is that most customers are using more than just one, they're actually using multiple, not necessarily 10 or however many on the screen, but this is just as an example. And so what happens is, they have to essentially duplicate or replicate that stack they've built for each different cloud, and they do so in a kind of a siloed manner. This results in the Cloud Chaos term that that we talked about before. And this is where most businesses out there are, they're using two, maybe three public clouds. They've got some stuff on-prem and they've also got some stuff out at the edge. This is apps, data, et cetera. So, this is the situation, this is sort of that Cloud Chaos. So, the question is, how do we move from this phase to Cloud Smart? And this is where the architecture comes in. This is why architecture, I think, is so important. It's really about moving away from these single cloud services that just solve a problem for one cloud, to something we call a Cross-Cloud service. Something that can support a set of functionality across all clouds, and that means not just public clouds, but also private clouds, edge, et cetera, and when you evolve that across the board, what you get is this sort of Supercloud. This notion that we're talking about here, where you combine these cross-cloud services in many different categories. You can see some examples there on the screen. This is not meant to be a complete set of things, but just examples of what can be done. So, this is sort of the transition and transformation that we're talking about here, and I think the architecture piece comes in both for the individual cloud services as well as that Supercloud concept of how all those services come together. >> Great presentation., thanks for sharing. If you could pop back to that slide, on the Cloud Chaos one. I just want to get your thoughts on something there. This is like the layout of the stack. So, this slide here that I'm showing on the screen, that you presented, okay, take us through that complexity. This is the one where I wanted though, that looks like a spaghetti code mix. >> Yes. >> So, do you turn this into a Supercloud stack, right? Is that? >> well, I think it's, it's an evolving state that like, let's take one of these examples, like security. So, instead of implementing security individually in different ways, using different technologies, different tooling for each cloud, what you would do is say, "Hey, I want a single security solution that works across all clouds", right? A concrete example of this would be secure software supply chain. This is probably one of the top ones that I hear when I talk to customers. How do I know that the software I'm building is truly what I expect it to be, and not something that some hacker has gotten into, and polluted with malicious code? And what they do is that, typically today, their teams have gone off and created individual secure software supply chain solutions for each cloud. So, now they could say, "Hey, I can take a single implementation and just have different endpoints." It could go to Google, or AWS, or on-prem, or wherever have you, right? So, that's the sort of architectural evolution that we're talking about. >> You know, one of the things we hear, Dave, you've been on theCUBE all the time, and we, when we talk privately with customers who are asking us like, what's, what's going on? They have the same complaint, "I don't want to build a team, a dev team, for that stack." So, if you go back to that slide again, you'll see that, that illustrates the tech stack for the clouds and the clouds at the bottom. So, the number one complaint we hear, and I want to get your reaction to that, "I don't want to have a team to have to work on that. So, I'm going to pick one and then have a hedge secondary one, as a backup." Here, that's one, that's four, five, eight, ten, ten environments. >> Yeah, I got a lot. >> That's going to be the reality, so, what's the technical answer to that? >> Yeah, well first of all, let me just say, this picture is again not totally representative of reality oftentimes, because while that picture shows a solution for every cloud, oftentimes that's not the case. Oftentimes it's a line of business going off, starting to use a new cloud. They might solve one or two things, but usually not security, usually not some of these other things, right? So, I think from a technical standpoint, where you want to get to is, yes, that sort of common service, with a common operational team behind it, that is trained on that, that can work across clouds. And that's really I think the important evolution here, is that you don't need to replicate these operational teams, one for each cloud. You can actually have them more focused across all those clouds. >> Yeah, in fact, we were commenting on the opening today. Dave and I were talking about the benefits of the cloud. It's heterogeneous, which is a good thing, but it's complex. There's skill gaps and skill required, but at the end of the day, self-service of the cloud, and the elastic nature of it makes it the benefit. So, if you try to create too many common services, you lose the value of the cloud. So, what's the trade off, in your mind right now as customers start to look at okay, identity, maybe I'll have one single sign on, that's an obvious one. Other ones? What are the areas people are looking at from a combination, common set of services? Where do they start? What's the choices? What are some of the trade offs? 'Cause you can't do it everything. >> No, it's a great question. So, that's actually a really good point and as I answer your question, before I answer your question, the important point about that, as you saw here, you know, across cloud services or these set of Cross-Cloud services, the things that comprise the Supercloud, at least in my view, the point is not necessarily to completely abstract the underlying cloud. The point is to give a business optionality and choice, in terms of what it wants to abstract, and I think that gets to your question, is how much do you actually want to abstract from the underlying cloud? Now, what I find, is that typically speaking, cloud choice is driven at least from a developer or app team perspective, by the best of breed services. What higher level application type services do you need? A database or AI, you know, ML systems, for your application, and that's going to drive your choice of the cloud. So oftentimes, businesses I talk to, want to allow those services to shine through, but for other things that are not necessarily highly differentiated and yet are absolutely critical to creating a successful application, those are things that you want to standardize. Again, like things like security, the supply chain piece, cost management, like these things you need to, and you know, things like cogs become really, really important when you start operating at scale. So, those are the things in it that I see people wanting to focus on. >> So, there's a majority model. >> Yes. >> All right, and we heard of earlier from Walmart, who's fairly, you know, advanced, but at the same time their supercloud is pretty immature. So, what are you seeing in terms of supercloud momentum, crosscloud momentum? What's the starting point for customers? >> Yeah, so it's interesting, right, on that that three-tiered journey that I talked about, this Cloud Smart notion is, that is adoption of what you might call a supercloud or architecture, and most folks aren't there yet. Even the really advanced ones, even the really large ones, and I think it's because of the fact that, we as an industry are still figuring this out. We as an industry did not realize this sort of Cloud Chaos state could happen, right? We didn't, I think most folks thought they could standardize on one cloud and that'd be it, but as time has shown, that's simply not the case. As much as one might try to do that, that's not where you end up. So, I think there's two, there's two things here. Number one, for folks that are early in to the cloud, and are in this Cloud Chaos phase, we see the path out through standardization of these cross-cloud services through adoption of this sort of supercloud architecture, but the other thing I think is particularly exciting, 'cause I talked to a number of of businesses who are not yet in the Cloud Chaos phase. They're earlier on in the cloud journey, and I think the opportunity there is that they don't have to go through Cloud Chaos. They can actually skip that whole phase if they adopt this supercloud architecture from the beginning, and I think being thoughtful around that is really the key here. >> It's interesting, 'cause we're going to hear from Ionis Pharmaceuticals later, and they, yes there are multiple clouds, but the multiple clouds are largely separate, and so it's a business unit using that. So, they're not in Cloud Chaos, but they're not tapping the advantages that you could get for best of breed across those business units. So, to your point, they have an opportunity to actually build that architecture or take advantage of those cross-cloud services, prior to reaching cloud chaos. >> Well, I, actually, you know, I'd love to hear from them if, 'cause you say they're not in Cloud Chaos, but are they, I mean oftentimes I find that each BU, each line of business may feel like they're fine, in of themselves. >> Yes, exactly right, yes. >> But when you look at it from an overall company perspective, they're like, okay, things are pretty chaotic here. We don't have standardization, I don't, you know, like, again, security compliance, these things, especially in many regulated industries, become huge problems when you're trying to run applications across multiple clouds, but you don't have any of those company-wide standardizations. >> Well, this is a point. So, they have a big deal with AstraZeneca, who's got this huge ecosystem, they want to start sharing data across those ecosystem, and that's when they will, you know, that Cloud Chaos will, you know, come, come to fore, you would think. I want to get your take on something that Bob Muglia said earlier, which is, he kind of said, "Hey Dave, you guys got to tighten up your definition a little bit." So, he said a supercloud is a platform that provides programmatically consistent services hosted on heterogeneous cloud providers. So, you know, thank you, that was nice and simple. However others in the community, we're going to hear from Dr. Nelu Mihai later, says, no, no, wait a minute, it's got to be an architecture, not a platform. Where do you land on this architecture v. platform thing? >> I look at it as, I dunno if it's, you call it maturity or just kind of a time horizon thing, but for me when I hear the word platform, I typically think of a single vendor. A single vendor provides this platform. That's kind of the beauty of a platform, is that there is a simplicity usually consistency to it. >> They did the architecture. (laughing) >> Yeah, exactly but I mean, well, there's obviously architecture behind it, has to be, but you as a customer don't necessarily need to deal with that. Now, I think one of the opportunities with Supercloud is that it's not going to be, or there is no single vendor that can solve all these problems. It's got to be the industry coming together as a community, inter-operating, working together, and so, that's why, for me, I think about it as an architecture, that there's got to be these sort of, well-defined categories of functionality. There's got to be well-defined interfaces between those categories of functionality to enable modularity, to enable businesses to be able to pick and choose the right sorts of services, and then weave those together into an overall supercloud. >> Okay, so you're not pitching, necessarily the platform, you're saying, hey, we have an architecture that's open. I go back to something that Vittorio said on August 9th, with the first Supercloud, because as well, remember we talked about abstracting, but at the same time giving developers access to those primitives. So he said, and this, I think your answer sort of confirms this. "I want to have my cake eat it too and not gain weight." >> (laughing) Right. Well and I think that's where the platform aspect can eventually come, after we've gotten aligned architecture, you're going to start to naturally see some vendors step up to take on some of the remaining complexity there. So, I do see platforms eventually emerging here, but I think where we have to start as an industry is around aligning, okay, what does this definition mean? What does that architecture look like? How do we enable interoperability? And then we can take the next step. >> Because it depends too, 'cause I would say Snowflake has a platform, and they've just defined the architecture, but we're not talking about infrastructure here, obviously, we're talking about something else. >> Well, I think that the Snowflake talks about, what he talks about, security and data, you're going to start to see the early movement around areas that are very spanning oriented, and I think that's the beginning of the trend and I think there's going to be a lot more, I think on the infrastructure side. And to your point about the platform architecture, that's actually a really good thought exercise because it actually makes you think about what you're designing in the first place, and that's why I want to get your reaction. >> Quote from- >> Well I just have to interrupt since, later on, you're going to hear from near Nir Zuk of Palo Alto Network. He says architecture and security historically, they don't go hand in hand, 'cause it's a big mess. >> It depends if you're whacking the mole or you actually proactively building something. Well Kit, I want to get your reaction from a quote from someone in our community who said about Supercloud, you know, "The Supercloud's great, there are issues around computer science rigors, and customer requirements." So, there's some issues around the science itself as well as not just listen to the customer, 'cause if that's the case, we'd have a better database, a better Oracle, right, so, but there's other, this tech involved, new tech. We need an open architecture with universal data modeling interconnecting among them, connectivity is a part of security, and then, once we get through that gate, figuring out the technical, the data, and the customer requirements, they say "Supercloud should be a loosely coupled platform with open architecture, plug and play, specialized services, ready for optimization, automation that can stand the test of time." What's your reaction to that sentiment? You like it, is that, does that sound good? >> Yeah, no, broadly aligns with my thinking, I think, and what I see from talking with customers as well. I mean, I like the, again, the, you know, listening to customer needs, prioritizing those things, focusing on some of the connective tissue networking, and data and some of these aspects talking about the open architecture, the interoperability, those are all things I think are absolutely critical. And then, yeah, like I think at the end. >> On the computer science side, do you see some science and engineering things that need to be engineered differently? We heard databases are radically going to change and that are inadequate for the new architecture. What are some of the things like that, from a science standpoint? >> Yeah, yeah, yeah. Some of the more academic research type things. >> More tech, or more better tech or is it? >> Yeah, look, absolutely. I mean I think that there's a bunch around, certainly around the data piece, around, you know, there's issues of data gravity, data mobility. How do you want to do that in a way that's performant? There's definitely issues around security as well. Like how do you enable like trust in these environments, there's got to be some sort of hardware rooted trusts, and you know, a whole bunch of various types of aspects there. >> So, a lot of work still be done. >> Yes, I think so. And that's why I look at this as, this is not a one year thing, or you know, it's going to be multi-years, and I think again, it's about all of us in the industry working together to come to an aligned picture of what that looks like. >> So, as the world's moved from private cloud to public cloud and now Cross-cloud services, supercloud, metacloud, whatever you want to call it, how have you sort of changed the way engineering's organized, developers sort of approached the problem? Has it changed and how? >> Yeah, absolutely. So, you know, it's funny, we at VMware, going through the same challenges as our customers and you know, any business, right? We use multiple clouds, we got a big, of course, on-prem footprint. You know, what we're doing is similar to what I see in many other customers, which, you see the evolution of a platform team, and so the platform team is really in charge of trying to develop a lot of these underlying services to allow our lines of business, our product teams, to be able to move as quickly as possible, to focus on the building, while we help with a lot of the operational overheads, right? We maintain security, compliance, all these other things. We also deal with, yeah, just making the developer's life as simple as possible. So, they do need to know some stuff about, you know, each public cloud they're using, those public cloud services, but at the same, time we can abstract a lot of the details they don't need to be in. So, I think this sort of delineation or separation, I should say, between the underlying platform team and the product teams is a very, very common pattern. >> You know, I noticed the four layers you talked about were observability, infrastructure, security and developers, on that slide, the last slide you had at the top, that was kind of the abstraction key areas that you guys at VMware are working? >> Those were just some groupings that we've come up with, but we like to debate them. >> I noticed data's in every one of them. >> Yeah, yep, data is key. >> It's not like, so, back to the data questions that security is called out as a pillar. Observability is just kind of watching everything, but it's all pretty much data driven. Of the four layers that you see, I take that as areas that you can. >> Standardize. >> Consistently rely on to have standard services. >> Yes. >> Which one do you start with? What's the, is there order of operations? >> Well, that's, I mean. >> 'Cause I think infrastructure's number one, but you had observability, you need to know what's going on. >> Yeah, well it really, it's highly dependent. Again, it depends on the business that we talk to and what, I mean, it really goes back to, what are your business priorities, right? And we have some customers who may want to get out of a data center, they want to evacuate the data center, and so what they want is then, consistent infrastructure, so they can just move those applications up to the cloud. They don't want to have to refactor them and we'll do it later, but there's an immediate and sort of urgent problem that they have. Other customers I talk to, you know, security becomes top of mind, or maybe compliance, because they're in a regulated industry. So, those are the sort of services they want to prioritize. So, I would say there is no single right answer, no one size fits all. The point about this architecture is really around the optionality of it, as it allows you as a business to decide what's most important and where you want to prioritize. >> How about the deployment models kit? Do, does a customer have that flexibility from a deployment model standpoint or do I have to, you know, approach it a specific way? Can you address that? >> Yeah, I mean deployment models, you're talking about how they how they consume? >> So, for instance, yeah, running a control plane in the cloud. >> Got it, got it. >> And communicating elsewhere or having a single global instance or instantiating that instance, and? >> So, that's a good point actually, and you know, the white paper that we released back in August, around this sort of concept, the Cross-cloud service. This is some of the stuff we need to figure out as an industry. So, you know when we talk about a Cross-cloud service, we can mean actually any of the things you just talked about. It could be a single instance that runs, let's say in one public cloud, but it supports all of 'em. Or it could be one that's multi-instance and that runs in each of the clouds, and that customers can take dependencies on whichever one, depending on what their use cases are or the, even going further than that, there's a type of Cross-cloud service that could actually be instantiated even in an air gapped or offline environment, and we have many, many businesses, especially heavily regulated ones that have that requirement, so I think, you know. >> Global don't forget global, regions, locales. >> Yeah, there's all sorts of performance latency issues that can be concerned about. So, most services today are the former, there are single sort of instance or set of instances within a single cloud that support multiple clouds, but I think what we're doing and where we're going with, you know, things like what we see with Kubernetes and service meshes and all these things, will better enable folks to hit these different types of cross-cloud service architectures. So, today, you as a customer probably wouldn't have too much choice, but where we're going, you'll see a lot more choice in the future. >> If you had to summarize for folks watching the importance of Supercloud movement, multi-cloud, cross-cloud services, as an industry in flexible, 'cause I'm always riffing on the whole old school network protocol stacks that got disrupted by TCP/IP, that's a little bit dated, we got people on the chat that are like, you know, 20 years old that weren't even born then. So, but this is a, one of those inflection points that's once in a generation inflection point, I'm sure you agree. What scoped the order of magnitude of the change and the opportunity around the marketplace, the business models, the technology, and ultimately benefits the society. >> Yeah. Wow. Getting bigger. >> You have 10 seconds, go. >> I know. Yeah. (laughing) No, look, so I think it is what we're seeing is really the next phase of what you might call cloud, right? This notion of delivering services, the way they've been packaged together, traditionally by the hyperscalers is now being challenged. and what we're seeing is really opening that up to new levels of innovation, and I think that will be huge for businesses because it'll help meet them where they are. Instead of needing to contort the businesses to, you know, make it work with the technology, the technology will support the business and where it's going. Give people more optionality, more flexibility in order to get there, and I think in the end, for us as individuals, it will just make for better experiences, right? You can get better performance, better interactivity, given that devices are so much of what we do, and so much of what we interact with all the time. This sort of flexibility and optionality will fundamentally better for us as individuals in our experiences. >> And we're seeing that with ChatGPT, everyone's talking about, just early days. There'll be more and more of things like that, that are next gen, like obviously like, wow, that's a fall out of your chair moment. >> It'll be the next wave of innovation that's unleashed. >> All right, Kit Colbert, thanks for coming on and sharing and exploring the Supercloud architecture, Cloud Chaos, the Cloud Smart, there's a transition progression happening and it's happening fast. This is the supercloud wave. If you're not on this wave, you'll be driftwood. That's a Pat Gelsinger quote on theCUBE. This is theCUBE Be right back with more Supercloud coverage, here in Palo Alto after this break. (upbeat music) (upbeat music continues)

(upbeat music) >> Good afternoon. theCUBE is live at VMware Explorer. Lisa Martin here in San Francisco with Dave Nicholson. This is our second day of coverage talking all things VMware and it's ecosystem. We're excited to welcome from DXC Technology, James Bion, Hybrid Cloud and Multi Cloud Offering manager to have a conversation next. Welcome to the program. >> Thank you very much. >> Welcome. >> Talk to us a little bit about before we get into the VMware partnership, what's new at DXC? What's going on? >> So DXC is really evolving and revitalizing into more of a cloud orientated company. So we're already driving change in our customers at the moment. We take them on that cloud journey, but we're taking them in the right way, in a structured mannered way. So we are really excited about it, we're kicking off our Cloud First type, Cloud Right sort of story and helping customers on that journey. >> Yesterday in the keynote, VMware was talking about customers are on this Cloud chaos phase, they want to get to Cloud Smart. You're saying they want to get to Cloud Right. Talk to us about what DXC Cloud Right is, what does it mean? What does it enable businesses to achieve? >> That's a very good question. So DXC has come up with this concept of Cloud Right, we looked at it from a services and outcome. So what do customers want to achieve? And how do we get it successfully? This is not a technology conversation, this is about putting the right workloads at the right place, at the right time, at the right cost to get the right value for your business. It's not about just doing it for the sake of doing it, okay. There's a lot of changes it's not technology only you've got to change how people operate. You've got to work through the organizational change. You need to ensure that you have the right security in place to maintain it. And it's about value, really about value proposition. So we don't just focus on cost, we focus on operations of it, we focus on security of it. We focus on ensuring the value proposition of it and putting not just for one Cloud, it's the right place. Big focus on Hybrid and Multi Cloud solutions in particular, we're very excited about what's happening with VMware Cloud on maybe AWS or et cetera because we see there a real dynamic change for our customers where they can transition across to the right Cloud services, at the right time, at the right place, but minimal disruption to the actual operation of their business. Very easy to move a workload into that place using the same skilled resources, the same tools, the same environment that you have had for many years, the same SLAs. Customers don't want a variance in their SLAs, they just want an outcome at a right price and the right time. >> Right, what are some of the things going on with the VMware partnership and anything you know, here we are at this the event called the theme is "The Center of the Multi Cloud Universe", which I keep saying sounds like a Marvel movie, I think there needs to be some superheroes here. But how is DXC working with VMware to help customers that are in Multi Cloud by default, not by design? >> That's a very good one. So DXC works jointly with VMware for more than a thousand clients out there. Wide diversity of different clients. We go to market together, we work collaboratively to put roadmaps in place for our clients, it's a unified team. On top of that, we have an extremely good VMware practice, joint working VMware team working directly with DXC dedicated resources and we deliver real value for clients. For example, we have a customer experience zone, we have a customer innovation zone so we can run proof of concepts on all the different VMware technologies for customers. If they want to try something different, try and push the boundaries a little bit with the VMware products, we can do that for them. But at the end of the day we deliver outcome based services. We are not there to deliver a piece of software, but a technology which show the customer the value of the service that they've been receiving within that. So we bring the VMware fantastic technologies in and then we bring the DXC managed services which we do so well and we look after our customers and do the right thing for our customers. >> So what does the go-to market strategy look like from a DXC perspective? We say that there are a finite number of strategic seats at the customer table. DXC has longstanding deep relationships with customers, so does VMware and probably over a shorter period of time, the Hyper scale Cloud Providers. How are you approaching these relationships with customers? Is it you bringing in your friends from the cloud? Is it the cloud bringing in their friend DXC? What does it look like? >> So we have relationships with all of them, but were agnostic. So we are the people who bring it all together into that unified platform and services that the customers expect. VMware will bring us certainly to the table and we'll bring VMware to the table. Equally, we work very collaboratively with all the cloud providers and we work in deals together. They bring us deals, we bring them deals. So it works extremely well from that perspective, but of course it's a multi-cloud world these days. We don't just deal with one cloud provider, we'll normally have all of the different services to find the right place for our customers. >> Now, one thing that that's been mentioned from DXC is this idea that Cloud First which has been sort of a mantra that scores you points if you're a CIO lately, maybe that's not the best way to wake up in the morning. Why not saying, Cloud First? >> So we have a lot of clients who who've tried that Cloud First journey and they've aggressively taken on migration of workloads. And now that they've settled in a few of those they're discovering maybe the ROI isn't quite what they expected it was going to be. That transformation takes a long time, a very long time. We've seen some of the numbers around averaging a hundred apps can take up to seven years to transition and transform, that's a long time. It makes you almost less agile by doing the transformation quite ironically. So DXC's Cloud Right program really helps you to ensure that you assess those workloads correctly, you target the ones that are going to give you the best business value, possibly the best return on investment using our Cloud and advisory practice to do that. And then obviously off the back of that we've got our migration teams and our run services and our application modernization factories and our application platforms for that. So DXC Cloud Right can certainly help our customers on that journey and get that sort of Hybrid Multi Cloud solution that suits their particular outcomes, not just one Cloud provider. >> So Cloud Right isn't just Cloud migration? >> No. >> People sometimes confuse digital transformation with Cloud migration. >> Correct. >> So to be clear Cloud Right and DXC has the ability to work with customers on not just, oh, here, this is how we box it up and ship it out, but what makes sense to box up and ship out. >> Correct, and it's all about that whole end to end life cycle. Remember, this is not just a technology conversation, this is an end to end business conversation. It's the outcomes are important, not the technology. That's why you have good partners like DXC who will help you on that technology journey. >> Let's talk about in the dynamics of the market the last couple of years, we saw so many customers in every industry race to the Cloud, race to digitally transform. You bring up a good point of people interchangeably talking about digital transformation, Cloud migration, but we saw the massive adoption of SaaS technologies. What are you seeing? Are you seeing customers in that sort of Cloud chaos as VMware calls it? That you're coming in with the Cloud Right approach saying, let's actually figure out, you may have done this because of the pandemic maybe it was accelerated, you needed to facilitate collaboration or whatnot, but actually this is the right approach. Are you seeing a lot of customers in that situation? >> We are certainly seeing some customers going into that chaos world. Some of them are still in the early stages of their journey and are taking a more cautious step towards in particular, the companies that would die on systems to be up available all the time. Others have gone too far, the other are in extreme are in the chaos world. And our Cloud Right program will certainly help them to pull their chaos back in, identify what workloads are potentially running in the wrong place, get the framework in place for ensuring that security and governance is in place. Ensuring that we don't have a cost spend blowout in particular, make sure that security is key to everything that we do and operations is key to everything we do. We have our own intelligent Platform X, it's called, our service management platform which is really the engine that sits behind our delivery mechanism. And that's got a whole lot of AI analytics engines in there to identify things and proactively identify workload placements, workload repairs, scripting, and hyper automation behind that too, to keep available here and there. And that's really some of our Cloud Right story, it's not just sorting out the mess, it's sorting out and then running it for you in the right way. >> So what does a typical, a customer engagement look like for a customer in that situation? >> So we would obviously engage our client right advisory team and they would come in and sit down with your application owners, sit down with the business units, identify what success needs to look like. They do all the discovery, they'll run it through our engines to identify what workloads are in the right place, should go to the right place. Just 'cause you can do something doesn't mean you should do something and that's an important thing. So we will come back with that and say, this is where I think your cloud roadmap journey should be. And obviously that takes an intuitive process, but we then can pick off the key topics early at the right time and that low hanging fruit that's really going to drive that value for the customer. >> And where are your customer conversations these days? I mean from a Cloud perspective, digital transformation, we're seeing everything escalate up the C-suite? Are you engaging the executives in this conversation so that they really want to facilitate, let's do things the right way that's the most efficient that allows us as a business to do what we're best at? >> So where we've seen programs fail is where we don't have executive leadership and brought in from day one. So if you don't have that executive and business driver and business leadership, then you're definitely not going to be successful. So to answer your question, yes, of course we are, but we also working directly with the IT departments as well. >> So you just brought up an insight executive alignment, critically important. Based on what you've experienced in the real world, contrast that with the sort of message to the world that we hear constantly about Cloud and IT, what would be the most shocking thing that you can share with us that people might not be aware of? It's like what shocks you the most about the disconnect between what everybody talks about and the reality on the ground? Don't name any names of anyone, but give us an example of the like, this is what's really going on. >> So, we certainly are seeing that big sort of move into Cloud quickly, okay. And then the big bill shock comes and just moving a workload across doesn't mean you're in Cloud, it's a transition and transformation to the SaaS and power services, it's where you get your true value out of cloud. So the concept that just 'cause it's in Cloud it's cheap is not always the case. Doing it right in Cloud is definitely going to have some cost value, but it's going to bring other additional values to their business. It's going to give them agility, it's going to give them resilience. So if you look at all three of those platforms cost, agility, and resilience and live across all three of those, then you're definitely going to get the best outcomes. And we've certainly seen some of those where they haven't taken all of those into consideration, quite often it's cost is what drives it, not the other two. And if you can't keep operations up working efficiently then you are in a lot of trouble. >> So Cloud wrong comes with sticker shock. >> It certainly does. >> What's on the horizon for DXC? >> We're certainly seeing a big drive towards apps modernization and certainly help our customers on that journey. DXC is definitely a Cloud company, may that be on Hybrid Cloud, Private Cloud, Public Cloud, DXC is certainly leading that edge and pushing it forward. >> Excellent, James, thank you so much for joining us on the program today talking about what Cloud Right is, the right approach, how you're helping customers really get to that right approach with the people, the processes, and the technology. We appreciate your time. >> Thank you very much. >> For our guest and Dave Nicholson, I'm Lisa Martin. You're watching theCUBE live from VMware Explorer, 2022. Our next guest joins us momentarily so don't change the channel. (upbeat music)

(upbeat music) >> Hello, everyone. Welcome back to theCUBE's coverage of AWS re:Invent! 2021. I'm John Furrier, your host for the theCUBE, a lot of great action here. A lot of great solutions. Great keynote. The future of cloud's going to be all about purpose-built software platforms, enabling more and more SaaS, faster performance with custom chips, all enabling great stuff. I have two great guests here. Who are going to talk about it from Accenture. We've got Karthik Narain, global lead of Accenture's Cloud First. Welcome to the program. Good to see you and Chris Wegmann, AABG Accenture Amazon Business Group. Technology leads senior manager. Thanks for coming on. >> Great to be here. >> I was commenting before we came on about Accenture's work you guys been doing with the clouds in my article, I posted before re:Invent!. Dave Vellante coined the term superclouds, which we kind of just put out there, but the idea that people can build really strong platforms that enable a new kind of Saas has been the big wave. Connect has been a great example. We heard on stage from Adam, the CEO. Chris, this has been something that's been a real change where it's not just lift and shift and refactor, it's build value in a platform and new SaaS capabilities. What's your reaction to that? >> Yeah, I would absolutely agree. We've seen this change over time. We've seen the lift and shift and modernize and it's definitely moved into the Superclouds. I like the term, but you know, we call them cloud continuums, which we'll talk a little bit about, it's about building these purpose-built solutions. I think if you look at the keynote today, you look at, everybody that was on stage. United and everyone talking about what they're building, their technology companies now, they're not just the business. >> You guys did some new research, coining new terms and Cloud First. What is this all about? What is this new wave you guys are talking about? >> Yeah, so John, you know, few years ago, when people talked about cloud, they generally meant public cloud. I think the definition of cloud is changing and expanding. And from now on, whenever people talk about cloud, it's actually a cloud continuum. It's a continuum of capability from public to Edge and everything in between all seamlessly connected by Cloud First networks, which means all the capabilities that customers used to get from one public cloud destination. They can actually access that across the continuum, whether that be in their own private data center, using the capability of cloud with AWS's Outpost and other capabilities. Or they could use the capability in their Edge location, whether it's their retail centers, their warehouse locations, manufacturing and so on and so forth. So organizations are using the power of cloud beyond one purpose and one destination, but more as an operating system going forward. >> Chris, what's your take on this redefinition of cloud what's your take on it? >> I think it's much needed. I think Andy kicked it off last year when he recognized the term hybrid. We all, who've has been around a while kind of chuckled because they finally said the word. But if you look at the keynote today, they just continued it. Adam picked it up and ran with it. If you look at all the services, Wavelength and all the different services, there's not a single customer that I have, that's just using EC2 or S3 right. They're using all these different services you saw today. You saw all the different services that United put up on the screen. That DISH put up on the screen. So yeah, it's how people and companies, if they're truly going to transform and truly use cloud to transform, you have to use the whole continuum. >> Yeah. And I think the continuum message is a good one because if you look at what the evolution is, that was interesting to. Adam went on and did kind of a history lesson in the beginning, it felt like I was in the Star Wars movie, like back in the old days. And then you kind of progressed. You had to be really elite to roll your own cloud. And the hyperscalers did that, you saw that. Now you still have elite technical people, but now it's general purpose, or purpose built. It's like having prefabricated platforms and open source. We've learned that why do you want to reinvent the wheel if you don't have to? So if I want a call center I get Connect, if I want to have a big plugin platform, I can still build on top of and have that SaaS unique application. This seems logical. This is new. (laughter) This is the continuum. I mean, it seems obvious now looking at it, but how far along in are people getting this. Karthik, what's your take on this? >> I think customers are getting it. They are looking at cloud more as an operating system for their future innovation. They liked the concept that they got from the public cloud, which is easy configurability, consumability and automatability of their infrastructure assets. And when you can get that capability as an operating system for your entire enterprise, and you could innovate across the spectrum, that's extremely powerful. We see companies accelerating their adoption to cloud, but we are also seeing over the last three years, a lot of that adoption was using cloud as a migration destination. But now with the power of the cloud continuum, where innovation is available, that so many new services that Adam launched today, you could use truly cloud as an innovation engine. And we're actually seeing that the clients who are using the cloud continuum for innovation are doing much better than the ones that are using cloud as a migration destination. In fact, they're doing two X to three X use of cloud for innovation and uplifting knowlEdge where they are actually using three X more cloud for sustainability purposes. So huge, huge value. >> Yeah, I mean, this is a great point. Great insight, because what you're saying is essentially you can't hide anymore. The projects are either going to be successful or not. You can see whether it's useful or not, and now you're tying cloud adoption and outcomes together. Where you can look it and saying, we need to make this outcome work. Not for building, for building sake. Those projects were discovered during the pandemic. Why are we doing that? So you can't hide that ball anymore. >> Right and everybody's got to do it now, right? I mean, you don't have a choice. The pandemic is now forcing companies to change. They've changed. And that the research shows that the companies that have truly adopted the whole continuum are doing much better than the companies that didn't. >> What's pattern in this continuum research you guys, what's the big takeaway that you guys have found in that study, in that customer experience that you're having. What's the big, Aha moment. >> I think there are a few things. Number one surprising aspect is that the companies that use cloud for a broader innovation objective, actually, were saving more than the ones that use cloud just as a cost saving initiative. That was a big, Aha moment. Number two, when you talk about all of this innovation that AWS provides, sometimes it's easy for organizations to shrug it off saying, this looks like this is only for the elite companies, or this is only for the digitally native companies to follow. But our research showed that the companies that were successful adopting cloud continuum, the ones that we call less continuum competitors, 60% of them are pre-digitally born organizations. And they were reaping the benefits and they were growing faster, saving more, being more innovative than all others. So this is truly usable across the spectrum of the G 2000 enterprise. >> Yeah, and I think it's a no brainer, but now that you have, customers are transforming, they have multiple clouds. You have AWS, Azure, Google cloud, people were trying to find their swim lane. We heard about skill gap shortage. We did some reporting on that, that this idea of multi-cloud maybe not, I can't hire enough people. I'm going to bet on this cloud, maybe use that cloud. How are people looking at that? How do you guys see that the cloud competitive continuum, or how is the cloud competition affecting the cloud continuum from a customer standpoint? >> Yeah. I mean, you got to look at it, do you use the whole continuum? You've got a lot of cases, you got to be on the same cloud, right. You can use the whole, you got to use all the different components, all the different services. So I think we are seeing customers that are picking one and starting with one and then adding others. I see a lot of my customers who are using multiple clouds, but they're using them in different business units, right? So they may pick one business unit to go deep with AWS on, they may go use another business unit to go deep on another cloud, right? So yeah, I mean, everyone is getting multiple, but a lot of they're starting with one and then adding a second one or a third along the way. >> Karthik, this is what I was trying to get out of my story. It's a hard, very nuanced point. But if you look at the success of say Snowflake and Databricks, all bet on Amazon and their superclouds, they are on Amazon, but they're now working with Azure as well, because why wouldn't you want to open up your market? >> Exactly. And even the industry companies that want to monetize their capabilities using the digital ecosystems are doing that. For example, Siemens wanted to bring all their capabilities in manufacturing and machine operating system into a platform called MindSphere. And they knew that their end goal was going to be multi-cloud, but they want to practice, leveraging the power of cloud with one platform. And when they created MindSphere, they started with AWS and they created that solution in the public cloud and private cloud also at the Edge by leveraging the power of cloud from public to Edge and proved it out. And once it started working and they were able to roll it out for customers. Now they are giving customers the choice to be able to use it in other clouds as well. >> Yeah Karthik, you mentioned earlier at the top of our interview about the platform of the cloud and Dave and I were talking on our keynote review. We did a little history lesson of when Microsoft owned the monopoly of windows, the system software, and they had the application suite with office, but they still wanted developers to build on top of windows. Okay. But now with cloud that's one big windows platform like thing. So the developers ecosystem is evolving. And so one of the things we're watching, I want to get your reaction to this. Is in every major inflection point in the computer industry, when new ways to build and write code rolled out, the application owners always wanted their software to run on the fastest platform. Speeds and feeds matter in these shifts, because why would I want to have my software run slower? >> Yeah. >> What is your reaction to that? >> Yeah, absolutely. And again, there's a lot of things that the industry is going through and we are pushing the envelope on digitization. And today's keynote. When you saw the CEO of NASDAQ talking about the technology bottlenecks that were preventing the matching algorithm to be finally taken to cloud. Now that capability that's available at with AWS is what is enabling that matching algorithm to be taken to cloud through the power of Edge. So there's so much technology innovation, that's happening. That's constantly expanding the boundaries of posibilities. >> I mean, that's exactly the point. And I wrote this in my story and it came out on the keynote today, which was Adam saying, the clouds expanding that's the continuum. If it's running cloud operations, does it matter what it is? I mean, it's, if you're at the Edge and you're running cloud, maybe cause you want latency, of course you want to have low latency. Why wouldn't you want outposts. Again, this is all cloud operations. DevSecOps data is now kind of cloud operationalized. That seems to be what's happening. >> Yeah, I think the developers love the fact that they can write for one and put it anywhere, right? And whether it's a EKS on Inside, I don't even know what you call anymore, the public cloud, right? Or all the way out at the Edge, right? You write it once, you can deploy it there and it makes their lives a lot easier. And you know, as you said, it's all about performance. So they get the best option. >> Well, We love having you guys on the theCUBE, Accenture. You guys have really smart, talented people, always great commentary. Dave and I were looking at reviewing the tape so to speak. It's not really tape anymore. It's it's digitally stored on a S3, but we were looking back at 2016 when we first started talking about horizontally scalable cloud and vertically specialized applications. If you look at the keynote today and squint through the announcements, Amazon's going to offer full horizontal scalability and vertical specialization at the app level with machine learning capabilities. This means that you need data to be horizontally addressable, which is kind of counterintuitive, but you're seeing all the success on data lakes and lakes. This is the new architecture. It's kind of proven now, what do you guys think? >> Yeah, again, the aspect of cloud is about democratised innovation. The first element is, even though there's so much infrastructure build-out and infrastructural elements where there's continuous innovation going on, the enterprises and developers are moving from Bivives built decisions to assembling and consuming options. And when they assemble and consume, they want newer and newer services to be available. That is very specific to their industry and specific to functions, whether it is supply chain function or manufacturing function or so on and so forth. For this, there are going to be specific data that is going to be required, or operational for that particular use-case. But the whole idea of predictive analytics and AI and machine learning and data science is about how do you find correlations between operational data for a particular capability, with things that in the previous world was unrelated. For that you need to bring all of this data together. Time will tell whether all the data is going to move to one location or is there going to be distributed computing of that data with more technology, but that's the role that data is going to play in these verticalized solutions. >> Yeah, I mean, that's awesome. I want to get you guys while I got one, a couple of minutes left. Advice to people that look into go this next level. They know the continuum is coming, you guys been providing great solutions and advice to your customers. For the folks watching, what advice can you give where they're just putting their toe in the water or want to go full in? >> Yeah, so, we found in that research that there were some common patterns that were followed by these continuum competitors, the ones that were succeeding or winning in the cloud. And there was namely four of them, the first one, and these four can be adopted by others for them to also win in the continuum. The first one was looking at the power of the continuum, how the technology is evolving and creating a strategy to take advantage of the evolution of the continuum. That's number one. Number two, this is about organizational change. So don't go about this change in a soft manner. There are elements that you need to change within your organization to imbibe this wholeheartedly. That's the second thing. Third thing is one common aspect that all the continuum competitors followed was they put experience at the forefront for everything. For their end customers. Last but not the least. This is a holistic journey and an enterprise wide journey. And this would require CSO level, CEO level commitment on a longer term to achieve this. So with these four things, most companies can achieve the successes that the continuum competitors are seeing. >> Awesome insight, Chris, real quick, 30 seconds. What's your advice. >> Chris: Don't be afraid. (laughter) It's pretty simple. >> The water's warm, come on in >> Yeah, come on in. A lot of gone before you, right? It can be scary. It can be daunting, right? A lot of services. Don't be scared to get in and go at it. >> Yeah, one of the jobs I love about being theCUBE host is, you talk to people many years earlier, you guys got it right at Accenture. Congratulations. You were deploying, you saw this wave of purpose-built before anyone else and congratulations. Great success. >> Thanks, thanks for having us on theCUBE. >> Okay, I'm John Furrier. You're watching us here live in Las Vegas, for AWS re:Invent 2021 coverage. TheCUBE, the leader in tech coverage. (upbeat music)

>>from >>around the globe. It's the Cube with digital coverage of AWS reinvent >>2020 sponsored >>by Intel, AWS and our community >>partners. >>Hi. And welcome to the cubes coverage of AWS reinvent 2020. I'm your host, Justin Warren. And today I am joined by two lovely gentlemen. We have Brian Cahill from a company called Frog Slur, which is interesting. And we also have Chad Kenny from Clooney. Oh, gentlemen, welcome to AWS reinvent 2020 Chad, It's bean about what A year since I think we last spoke at at reinvent last year. Why don't you catch us up on what's been happening in the last year of the Korean Times >>s? Um we're excited to be here. Justin, thanks so much for the introduction and hosting us. So it's been an exciting action back here. I will say we've had a bunch of new innovations. I think last time we talked, we were just getting our first native solution inside of AWS for EBS. And since then we've evolved the dissolution dramatically. Claudio is ah, secure backup is a service offering for the enterprise, and this allowed us to be able to scale from just EBS into being the industry's first platform to go across public, private and SAS all in one service, >>and >>we innovated within AWS a ton. So we expanded from CBS Thio, Easy to and RDS. We brought in one of the most native services Outside of snapshots. We kind of progress the enterprise from the traditional snapshot primitive into a true enterprise class Back up on built in a time series Data Lake that allows, you know, enterprises to decouple their data from the infrastructure and really be able to provide tons of value into the future. So it's an exciting time for us. Toe, you know, really bring new innovative solutions to the market. >>That's an impressive amount of work given whatever else has been going on in the last 12 months, Teoh be able to ship that much stuff. You've been really, really busy. Um, brought Brian on now. Brian Frog Slayer. Tell me. Tell me a bit about the background for the name of the company they >>frogs layer. The name actually came from a initial founder who, you know, was trying to protect the animals, wanted to take care of nature and stuff and actually stepped on frog. So you got nicknamed by his buddies frogs here and that, then became the company name. >>So tell us about frogs layer. What is it that and your role there. What is it the Frog Slayer does? And what's your role there? >>Frogs there does business consulting. And then we developed custom software star goals to help businesses get past ah, hurdle. So a growth business that's that's kind of stuck make them more efficient, more productive thing kind of move to the next level. And my role here is the head of I t. That custom software rebuild we host for our clients. And so we try to offer to them is a SAS solution. So it's not only a custom software, but it's kind of offered a SAS solution them to consume. >>Terrific. So >>how long has >>the relationship with Clooney I've been going on? >>It's been about four months now, >>all right. And how did you get introduced Thio chat on the team in Colombia? >>Um, we started with AWS writing our own backup scripts and as we started to move more of their past services like RDS and then RDS went to serve Earless and Aurora the You just have to keep upgrading and changing and tweaking your scripts. And so we started looking round to say, Is there, uh is there a software we could use instead of doing this ourselves? And so through a bar, we got connected with Clooney? Oh, we're checking out a whole bunch of solutions. And most of them were snapshot managers just using the a p i s to do the same things we were doing. Whereas Clooney I was doing it totally differently where they would actually take a snapshot and then rehydrate it, take that data and then make it more like a traditional backup where you could d duplicate it and save on costs and stuff. >>Right? Okay, so, Chad, is that something that you've been? Is that one of the many features that you've added in the last 12 months? Or is this something that a little more fundamental to the way Columbia works? It's >>very fundamental. I think what we're doing is both doing efficiencies around the data itself. So do you do compression and, of course, security around encryption. But we ingest the data index and catalog it on, then make it so that customers could get fine grained granularity for how they restore even down to the database record. And so one of the big things that we've seen, especially in Cloud First customers such as frogs Layer is they're really trying to use either the native tools to start with or build your own type. Models on the costs increased dramatically. The complexity of not having a catalog and index make restores incredibly hard. Andi. It just becomes, ah, much more painful model of hidden costs, left and right. And so what we wanted to do was really provide unique simplicity to be able to protect all of the AWS accounts and even all of the data assets across clouds in one single pane of glass and give a user experience that was dramatically different than having to run very scripts or build your own or have a tool on prim and have a different tool for this cloud versus another cloud. And by having this consolidated index obviously drive a ton of value around leverage from the data, >>Hmm, >>interesting. So, Brian, you mentioned that this is your relationship with Colombia has Bean only about sort of four months that sort of smack in the middle of the pandemic that's been going on here was Was that a trigger for you looking at alternate options? Or were Or is this something that you've been planning for a while? >>No. This has been on a road map for a little while. Um, just as we start using more AWS services and trying to figure out how do we scale what we're doing? Um, we're looking for Mormon Enterprise Backup. But then, as we looked around most the backup solutions, you end up hosting the software upgrade in the software and maintaining things on. >>Have you noticed a major change since you've been using Colombia? >>Yes, What Cuneo offered was the ability to because it's a fast solution. It's a There's an air gap between us and the backup, so I'm not hosting the backups or the data. It's in a separate account, and I can't even delete it. So there's kind of a protection level that someone who are and can't accidentally delete the stuff we're backing up >>right? And one thing that I've noticed is in the news a lot more over the last couple of days. But it's certainly been hitting a lot this year is the idea of ransomware. So a lot of customers that certainly that I speak to have been quite concerned that what's going on with that? So how are you Brian addressing that within your organization? Do you feel comfortable that you're well protected and what else are you looking at? But you're trying to protect yourselves from >>right when it comes to ransom, where we try to have our client data in such a way that no one person can access or delete all of it. And so that's where we initially had separate AWS accounts for every client and with Columbia we now have Colonial maintains that separation. So they're keeping that air gap for us. And then, you know, we're doing our own stuff internally. Just make sure we don't get something. But the backups, including our kind of that second step for say something, gets past all of our safeguards. We've got another safeguard in place that >>sounds pretty prudent. So, Chad, is that is that something that you're hearing from a lot of customers? The need for this separation of powers within the system? >>Yeah, it's coming up quite often. And I think one of the big challenges here is to deliver an air gap solution with other types of data protection products. Whether it's on primer in the cloud have a ton of complexity to it, whether you're buying a separate appliance and you have to create a network air gap or whether you're actually replicating from one AWS account into another AWS account, the cost just double. And so what we built in was a system that not only is immutable, but as Brian mentioned, there's no ability to actually delete the data because the timeto live for the data that's persisted is defined by the policy. And so if a bad actor was to get into the environment, there's no way that they could potentially go into our system and actually delete anything. But if you look at like AWS as an example, if most customers they're storing snapshots inside their account as a hole on theirs, vulnerabilities even beyond, you know, ran somewhere and just on accident or a bad actor even inside the environment that's not even ran somewhere. And so protecting that is one of the key capabilities of the platform where We're outside of the service outside of the cloud, in many cases to protect the customer's data on make sure that they can restore it to any account in the event that even a bad actor gets access to it. Yeah. So, Brian, one thing >>that I like to ask customers about, particularly and cloud services is they've changed the way that we do things. And why Why we started using cloud is often not what we're actually using it for today. So with respect to Cuneo and your services that you're running in cloud, what's something that you've noticed that you're now doing? That surprises you? One of those added bonus is that you weren't really expecting. Have you seen anything like that? As you've managed Thio to start using Clooney Oh, that did everything that you wanted it to do. And now you're finding there's these new opportunities. >>Yeah. One of the big advantages of Colombia was when we took snapshots and replicated them out of the source AWS account. It's like in the source account. There was d duplication enabled. Once you replicated to another AWS account, it re hydrates the snapshot. So everyone takes up the full amount of space And to start hitting this like, how much data do I retain versus like, Oh, this is really expensive. I should like, you know, lower my retention. And we just that totally went away with Clooney. Oh, and then as far as the cloud is, the whole what's cool is that they're kind of more past services. So rds where I don't maintain, you know, patches on the O. S or on the sequel or yours, um, application service where you're not maintaining the OS. That's kind of moving at the next level up faras less less that you're maintaining your more maintaining your code in your application, >>right? And how important is the cloud native capability of Columbia? There's plenty of backup solutions around, and we've We've had them for many years because data protection is not a new idea. Ah, lot of a lot of what other side now cloud native. We try to put things into the cloud first. How important is it? Toe have something which understands cloud native >>and it basically means they're totally aware of what we're doing. And so they're not trying to take an old solution and make it fit in the cloud. They built it for the cloud from the ground up. So when you get in there user interface, there's not all of these old buttons and knobs and stuff. It's very simple. It's a policy, a tag. And then inside the account, the tag grabs objects. So they've made a very simple user interface that's saves a lot of time on implementation. >>Excellent. What are some of the things that you're looking to do in the future now that you've better things in and you've now got four months of solid experience with the product? What are you anticipating that you're going to be doing next? >>Um, we're excited about We're starting. But some are customers in a jurors cloud with Clooney was developing capabilities for that, and then Colombia is also working on capabilities for some of our business applications. So the idea of having all of our kind of backups in one place and less separate buckets you've got to go manages exciting. >>Yes, so Chad multi cloud hybrid cloud. Their words sort of called to be the controversy over the over the years. It does certainly sound like a lot of customers they're using, or at least exploring multiple, different options on Certainly for yourselves, you'll have customers who exist in in one cloud and others that will be in a different one. So how are you addressing the idea of of hybrid cloud and multi cloud? >>Great question. So our belief is that data is going to disperse itself Mawr and Mawr, especially as time goes on and there's multiple faces, this kind of cloud adoption that we see we see kind of, you know, the initial lift into Public Cloud, which kind of created that first hybrid example than theirs. You know the optimization within the clouds, so they're looking for cost reduction and operational izing. And then it's kind of like looking at ways of how doe I utilize different clouds for different things that may be mawr operationalized arm or optimized than others. And so we really believe in this world of creating a single platform or fabric that goes and expands across all clouds, consolidates and index and catalog into one view for the end user, and allows them to be able to push data to any cloud that they need to longer term. And at the same time, protect it. The fun part about migrations is yeah, you could move data, but when you're protecting it at the same time to it allows you to actually keep your production up and running, restore a dev environment somewhere else to play around with it and do it in multiple different potential clouds on then have that initial data that's still fully protected in your environment. And so I'd say that the protection side is a really cool on. The second one is Brian mentioned was the whole Data Lake concept that sits behind where we decouple the data from the infrastructure and with past services. This is incredibly important because, let's say, a year and a half from now, the database engines not even supported with the snapshot that you have left over in your account you've been retaining, you've not got to go through the process of upgrading and getting it up to the rev toe actually even get it working in our world, we create logical backups of those data sets, and they're instantaneously available for direct query access, even right in the gooey. And so now this decoupling of infrastructure brings significant value, right now but into the future. This opens up opportunities to be able to do et al pipelines and actually levers the data well beyond back up into other use cases, >>sort of to finish up looking forward. Always, like Thio have a bit of a view of what the future future holds. Its one of my favorite parts of being at reinvent is we get to see the new technology and and what the possibilities are for for what we could use. It takes something, take it home, have a bit of a play with it and and see what we could do for next year. So but if you Brian, we'll start with you. What are you looking forward to in 2021? What do your your future plans? >>Looking forward to migrating mawr of our stuff toe platform as a service offerings where we're taking advantage of the fact that the cloud has built some of the base layers and we could just build on top of that and then the second one that's exciting is the scalability. So with a B, A s, a server lists and the other land and different things that they're running out where we don't need to run physically. See two instances, air always on databases, but things that can scale up and down based on our client workload. That's just exciting as far as our infrastructure and and just the ability for cost savings, but also that just just in time, scaling for our customer demand >>and chad yourselves at Columbia What what can we Can you give us a hint of what we we might see in 2021 from Clooney? Oh, >>yes. So the first thing I'd say that I'm most excited about any New Year is just seeing the advantages customers get with the platform, right? Like we did a lot of innovation during this time. I'd say Cove, it had, you know, some benefits and some downsides from just company growth and, you know, not being close together and having that feeling. But we innovated incredibly quickly, and we were heads down and highly efficient, and eso I'm excited about really showcasing a lot of the innovation that we built during this year, and I think our customers are moving to the cloud faster than ever. And so I'm excited toe to see a lot of that. What you'll see from us is more and more innovation outside of just, you know, the traditional realm. Changing the user experience dramatically with new innovations, which sounds kind of broad. But think of it as creating more and more of that fabric. We're going to get into new public clouds. We're going to get into new SAS services. We're going to expand the user experience in the core platform for recover ability, for security, for enabling easy work flows for various different use cases. And so I'm excited about taking the data and really leveraging it into multiple different use cases outside of data protection on into the future. >>Well, it sounds like we have a lot to look forward to from Cuneo. I I personally look forward to hearing more about it. Hopefully we get to catch up. Ah, little bit earlier, Not not quite. Wait a full 12 months between reinvents, but if not, we'll definitely be seeing you again next year and and hearing about all of the new innovations that you've managed to come up with. You've got 12 months. There's plenty of time. Yeah, definitely Awesome. Sorry. Thank you very much. Brian Brian Kale from Frogs Layer and Pritchard, Kenny from Clooney. Oh, did my guest today. I've been Justin Warren for the Cube and all of our coverage here for AWS reinvent 2020. Do check out all the rest of the videos on. We will see you next time. >>Take care, Yeah.

>> Narrator: From around the globe, it's theCUBE. With digital coverage of AWS Reinvent Executive Summit 2020. Sponsored by Accenture and AWS. >> Welcome everyone to theCUBE virtual coverage of the Accenture Executive Summit part of AWS Re-invent 2020. I'm your host, Rebecca Knight. We are talking today about reinventing the energy data platform. We have two guests joining us. First, we have Johan Krebbers. He is the GM Digital Emerging Technologies and VP of IT Innovation at Shell. Thank you so much for coming on the show, Johan. >> You're welcome. >> Rebecca: And next we have Liz Dennett. She is the Lead Solution Architect for OSDU on AWS. Thank you so much Liz. >> Happy to be here. >> So I want to start our conversation by talking about OSDU. Like so many great innovations, it started with a problem. Johann, what was the problem you were trying to solve at Shell? >> Yeah, let's go back a couple of the years. We started summer 2017, where we had a meeting with the guys from exploration in Shell. And the main problem they had of course they got lots and lots of data, but aren't unable to find the right data they need to work from. Well the data was scattered and is scattered, it was scattered it's all over the place. And so the real problem trying to solve is how that person working in exploration could find their proper data, not just the data also the data really needed. That's what we probably talked about in summer 2017. And we said, "Okay, the only way we see this moving forward is to start pulling that data into a single data platform." And that was at the time that we called it OSDU, the Open Subsurface Data Universe, and that was what the Shell name was. So, in January 2018, we start a project with Amazon to start creating and confronting the building that OSDU environment, that subservient the universe. So that single data platform to put all your exploration and wealth data into a single environment that was the intent. And then we said, already in March of that same year, we said, 'Well, from a Shell point of view, we would be far better off if we could make this an industry solution and not just a Shell solution." Because Shell will be, if you can make this an industry solution, but people start developing applications for it also, it's far better than for Shell to say, we have it Shell special solution. Because we don't make money out of how we store the data we can make money out of we have access to the data, we can exploit the data. So storing the data, we should do as efficiently possibly can. So in March we reached out to about eight or nine other large oil and gas operators, like the ECONOS, like the Totals, like the Chevrons of this world they said, "Hey, we in Shell are doing this, do you want to join this effort?" And to our surprise, they all said yes. And then in September 2018 we had our kick-off meeting with the open group, where we said, "Okay, if you want to work together with lots of other companies, we also need to look a bit at how we organize that." Because if you start working with lots of large companies you need to have some legal framework around it. So that's why, we went to the open group and said," Okay, let's form the OSDU forum." As we call it at the time. So in September, 2018 where I had a Galleria in Houston we had a kick off meeting for the OSDU forum with about 10 members at the time. So there's, just over two years ago, we started to exercise formally we called it OSDU, we kicked it off. And so that's really where we coming from and how we got there also. >> The origin story. >> Yes. >> What, so what, digging a little deeper there, what were some of the things you were trying to achieve with the OSDU? >> Well, a couple of things we've tried to achieve with OSDU. First is really separating data from applications. But what is the biggest problem we have in the subsurface space that the data and applications are all interlinked. They are all tied together and if you have then a new company coming along and say, "I have this new application, and needs access to the data." That is not possible because the data often interlinked with the application. The first thing we did is, really breaking the link between the application and the data. So that was the first thing we did. Secondly, put all the data to a single data platform, take the silos out because what was happening in the subsurface space I mean, they got all the data in what we call silos, in small little islands out there. So we try to do is, first, break the link. Two, create, put the data in a single data platform. And then third part, put a standard layer on top of that the same API layer on top of the created platform so we could create an ecosystem out of companies to start developing software applications on top of that data platform. Because you might have a data platform, but you aren't successful if you have a rich ecosystem of people start developing applications on top of that. And then you can exploit the data like small companies, large companies, universities, you name it. But you have to create an ecosystem out of there. So the three things was, first break the link between the application data, just break it and put data at the center. And also make sure that data, this data structure would not be managed by one company. But it would be managed the data structures, by the OSDU forum. Secondly then, put the data, single data platform. Thirdly then, have an API layer on top and then create an ecosystem, really go for people, say, "Please start developing applications." Because now you have access to the data, because the data is no longer linked to somebody's application was all freely available for an API layer. That was all September, 2018, more or less. >> Liz I want to bring you, in here a little bit. >> Yeah. >> Can you talk a little bit some of the imperatives from the AWS standpoint in terms of what you were trying to achieve with this? >> Yeah, absolutely. And this whole thing is Johan said, started with a challenge that was really brought out at Shell. The challenges that geoscientists spend up to 70% of their time looking for data. I'm a geologist I've spent more than 70% of my time trying to find data in these silos. And from there, instead of just figuring out, how we could address that one problem, we worked together to really understand the root cause of these challenges. And working backwards from that use case, OSDU and OSDU on AWS has really enabled customers to create solutions that span not just this in particular problem. But can really scale to be inclusive of the entire energy value chain and deliver value from these used cases to the energy industry and beyond. >> Thank you. Johan, so talk a little bit about Accenture's Cloud First approach and how it has helped Shell work faster and better with speed. >> Well, of course Accenture Cloud First approach, really works together with Amazon environment, AWS environment. So we really look at Accenture and Amazon together, helping Shell in this space. Now the combination of the two is what we're really looking at where access of course can bring business knowledge to that environment, operate support knowledge to an environment and of course Amazon will be bring that to this environment, that underpinning services, et cetera. So we would expect of that combination, a lot of goods when we started rolling out in production, the other two or three environment. And probably our aim is, when a release fee comes to the market, in Q1 next year of OSDU have already started going out in production inside Shell. But as the first OSDU release which is ready for prime time production across an enterprise. Well we have released our one just before Christmas, last year, released two in May of this year. But release three is the first release we want to use for full scale production and deployment inside Shell and also all the operators around the world. And there is what Amazon, sorry and there when Accenture can play a role in the ongoing, in the deployment building up, but also support environment. >> So one of the other things that we talk a lot about here on theCUBE is sustainability and this is a big imperative at so many organizations around the world in particular energy companies. How does this move to OSDU, help organizations become how is this a greener solution for companies? >> Well, first we make, it's a great solution because you start making a much more efficient use of your resources, which is a really important one. The second thing we're doing is also we started with OSDU in very much in the oil and gas space, within the export development space. We've grown OSDU but in our strategy, we've grown OSDU now also to an alternative energy source. So obviously we'll all start supporting next year things like solar farms, wind farms, the geothermal environment, hydrogen. So it becomes an open energy data platform not just for the oil and gas industry, but for any type of industry, any type of energy industry. So our focus is to create, bring the data of all those various energy data sources together into a single data platform. You're going to use AI and other technology on top of that, to exploit the data to be together into a single data platform. >> Liz, I want to ask you about security, because security is such a big concern when it comes to data. How secure is the data on OSDU? >> Actually, can I talk, can I do a follow-up on the sustainability talking? >> Absolutely by all means. >> I mean, I want to interject, though security is absolutely our top priority I don't mean to move away from that but with sustainability, in addition to the benefits of the OSDU data platform. When a company moves from on-prem to the cloud they're also able to leverage the benefits of scale. Now, AWS is committed to running our business in the most environmentally friendly way possible. And our scale allows us to achieve higher resource utilization and energy efficiency than a typical on-prem data center. Now, a recent study by 451 research found that, AWS's infrastructure, is 3.6 times more energy efficient than the median of surveyed enterprise data centers. Two thirds of that advantage is due to a higher server utilization and a more energy efficient server population. But when you factor in the carbon intensity of consumed electricity and renewable energy purchases 451 found that, AWS performs the same task with an 88% lower carbon footprint. Now that's just another way that AWS and OSDU are working to support our customers as they seek to better understand their workflows and make their legacy businesses less carbon intensive. >> That's, those statistics are incredible. Do you want to talk a little bit now about security? >> Absolutely yeah. Security will always be AWS's top priority. In fact, AWS has been architected to be the most flexible and secure cloud computing environment available today. Our core infrastructure is built to satisfy the security requirements for the military, global banks and other high sensitivity organizations. And in fact, AWS uses the same secure hardware and software to build and operate each of our regions. So that customers benefit from the only commercial cloud that's had hit service offerings and associated supply chain vetted and deemed secure enough for top secret workloads. That's backed by a deep set of cloud security tools with more than 200 security compliance and governmental service and key features. As well as an ecosystem of partners like Accenture, that can really help our customers to make sure that their environments for their data meet and or exceed their security requirements. >> Johann, I want you to talk a little bit about how OSDU you can be used today. Does it only handle subsurface data? >> Today is 100 subsets of wells data we go to add that to that production around the middle of next year. That means that the whole upstream business we got included every piece goes from exploration all the way to production, you bring it together into a single data platform. So production will be added around Q3 of next year. Then in principle, we have a typical elder data, a single environment and we're going to extend them to other data sources or energy sources like solar farms, wind farms, hydrogen, hydro, et cetera. So we're going to add a whole list of other day energy source to that and bring all the data together into a single data platform. So we move from an oil and gas data platform to an energy data platform. That's really what our objective is because the whole industry if you look at our companies all moving in that same direction of course are very strong in oil and gas but also increasingly go into other energy sources like solar, like wind, like hydrogen et cetera. So we move exactly with the same method, that the whole OSDU, can really support that whole energy spectrum of energy sources, of course. >> And Liz and Johan, I want you to close us out here by just giving us a look into your crystal balls and talking about the five and 10 year plan for OSDU. We'll start with you, Liz. What do you see as the future holding for this platform? >> Honestly, the incredibly cool thing about working at AWS is you never know where the innovation and the journey is going to take you. I personally am looking forward to work with our customers wherever their OSDU journeys, take them whether it's enabling new energy solutions or continuing to expand, to support use cases throughout the energy value chain and beyond but really looking forward to continuing to partner as we innovate to slay tomorrow's challenges. >> Johan. >> Yeah, first nobody can look that far ahead anymore nowadays, especially 10 years. I mean, who knows what happens in 10 years? But if you look what our objective is that really in the next five years, OSDU will become the key backbone for energy companies for storing your data, new artificial intelligence and optimize the whole supply, the energy supply chain in this world out here. >> Johan Krebbers, Liz Dennett thank you so much for coming on theCUBE virtual. >> Thank you. >> Thank you. >> I'm Rebecca Knight stay tuned for more of our coverage of the Accenture Executive Summit. (tranquil music).

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel AWS and our community partners. Welcome everyone to the Cube virtual and our coverage of the Accenture Executive Summit, which is part of AWS reinvent 2020. I'm your host Rebecca Knight. Today we're talking about the green Cloud and joining me is Kishore Dirk. He is Accenture Senior Managing director Cloud First Global Services lead. Thank you so much for coming on the show Key Shore. >>Nice to meet you, Rebecca. >>Great to have you. Yeah. So I want to start by asking you what it is that we mean when we say green cloud. We know the sustainability is a business imperative. So many organizations around the world are committing to responsible innovation lowering carbon emissions. But what does this? What does it? What does it mean when they talk about cloud from a sustainability perspective? >>E think it's about responsible innovation. Green Cloud is a thoughtful cloud first approach that helps boost profits and benefit the clients for helping reduce carbon emissions. Think about it this way. And you have a large number of data centers and each of these data centers are increasing by 14% every year, and this double digit growth comes with the price of Becca. What you're seeing is these global data centers consume a lot of power on the consumption is nearly pull into the consumption of a country like Spain. So the magnitude off the problem that is out there and and how do we pursue a green approach if you look at this hour? Accenture Analysis In terms of the migrations to public crowd, we have seen that we can reduce that by 59 million tons of CO two per year and with just the 5.9% reduction in top lighting emissions. And he creates this toe 22 million cars off the road. And the magnitude of reduction can go a long way. Meeting climate change commitments, particularly poor data sensitive businesses. >>Wow, that's incredible. What you're the numbers that you're putting forward are absolutely mind blowing. So how does it work? Is it a simple cloud migration? So, you know, >>when companies begin their cloud journey and and then they confront off with them a lot of questions. The decision to make uh, in this particular element sustainable in their solution and benefits. They drive and they had to make vice choices. And then they will gain unprecedented level of innovation, leading to both greener planet as well as a a green of balance sheet. I would say eso effectively. It's all about ambition. Greater the ambition, greater the reduction in carbon emissions. So from a cloud migration perspective, we look at it as a simple solution with approaches and sustainability. Benefits are that very based on things. It's about selecting the right cloud provider, very carbon thoughtful provider and the first step towards a sustainable cloud journey. And here we're looking at clown operators. You know, obviously they have different corporate commitments towards sustainability and that determines how they plan, how they build their the data centers, how they our and consume connections that operate there and how they retire their data centers. Then, uh, the next element that you want to do is how do you build it? Ambition, You know, for some of the companies, on average on Prem drives about 65% energy reduction and the carbon emission reduction of about 84% which is kind of OK and good I would say, But then, if you could go up to 98% by configuring applications to the cloud, that is significant benefit for for the world. And obviously it's a greener cloud that we're talking about. And then the question is, How far can you go? And, you know, obviously the companies have to unlock greater financial, societal environmental benefits. And essential has this cloud based circular operations and sustainable products and services that that you bring into play. So it's a It's a very thoughtful, broader approach that we're bringing and in terms off just a simple concept off migration s. >>So we know that in the covert era, shifting to the cloud has really become a business imperative. How is Accenture working with its clients at a time when all of this movement has been accelerated? How do you partner and what is your approach in terms of helping them with their migrations? >>Yeah, I mean, let me talk a little bit about the pandemic and the crisis that is there today, and and if you really look at that in terms of how your partner with a lot of our clients in terms of the cloud first approach. I'll give you a couple of examples. We've worked with Rolls Royce, McClaren, DHL and others as part of the ventilator UK Charon Consortium again to, uh, coordinate production of medical ventilators urgently needed for the UK Health Service. Many of these firms have taken similar initiatives in terms off, you know, from perfume manufacturers hand sanitizers. And to answer it is, is and again leading passion levels, making BP and again at the U. N. General Assembly. We launched the end to end integration Guy that helps company essentially to have a sustainable development goes. And that's how we're parting at a very large scale. Andi, if you really look at how we work with our clients and what's Accenture's role there? Uh, you know, from in terms of our clients, you know there are multiple steps that we look at. One is about planning, building, deploying and managing an optimal green color solution. And Accenture has this concept off helping clients for the platform to kind of achieve that goal. And here we're having. We're having a platform called Minor, which has a model called Green Clad Advisor, and this is the capability that helps you provide optimal green cloud, you know, a business case and obviously blueprint for each of our clients. And right from the start in terms off, how do we complete lower migration recommendation toe on improve solution accuracy to obviously bringing in the end to end perspective? You know, with this green clad adviser capability, we're helping our clients capture what we call it the carbon footprint for existing data centers and provide, uh, I would say the current cloud C 02 emissions core that you know, obviously helps them with carbon credits that can further their green agenda. So essentially, this is about recommending a green index score reducing carbon footprint for migration, migrating for green a cloud. And it really look at how accentuate itself is practicing. What we preached. 95% of the applications are in the cloud, and this migration has helped us. Uh, toe lied to about $42.5 million in benefit and in the third year, and and another three million analyzed costs that are saved through rightsizing service consumption. So it's a very broad umbrella and a footprint in terms of having engage societally with the U. N our clients. And what is it that we exactly bring to our clients in solving a specific problem? >>Accenture isn't is walking the walk as you say? >>Yes, So that that is that we we practice what we preach, and that is something that we take it to heart. We want toe have a responsible business and we want to practice it. And we want to advise our clients around that >>you are your own use case, and so they they know they can take your advice. So talk a little bit about the global, the cooperation that's needed. We know that conquering this pandemic is going to take a coordinated global effort and talk a little bit about the great reset initiative. First of all, what is that? Why don't we? Why don't we start there? And then we could delve into it a little bit more. >>Okay, so before we get to how we're cooperating, the great recent initiative is about improving the state of the world, and it's about a group of global stakeholders cooperating to simultaneously manage the direct consequences of their Cohen 19 prices andan spirit of this cooperation that you're seeing during Court 19 which will obviously either toe post pandemic project will the worth pressing issues. As I say, we're increasing companies to realize combined potential of technology and sustainable impact, to use enterprise solutions to address with urgency and scale and obviously multiple challenges that are facing our world. One of the ways that you're increasing, uh, companies to reach their Venus cloud with extensions cloud strategy is to build a solid foundation that is resilient. I would prefer to faster to the current as well as future times. Now, when you think of Cloud as the foundation that drives the digital transformation, it's about scale, speed, streamlining your operations and obviously reducing costs. And and as these businesses sees the construct of cloud first, they must remain obviously responsible and trusted. Now think about this right as part of our analysis that profitability can co exist with responsible and sustainable practices. Let's say that on the data centers migrated from on from the cloud based, we estimate, you know, that would reduce carbon emissions globally by 60 million tons for years. Andi, think about it this way, right? Easier Metric will be taking out 22 million cars off the road Thea Other examples that you've seen right in terms off the NHS work that they're doing in UK to build, uh, you know, a Microsoft teams were in based integration and the platform he rolled out for 1.2 million in it. Just users Onda. About 16,000 users there were able to secure instant messages, you know, obviously complete audio video calls and host working meetings across England. So this this work that we did with NHS is is something that we're collaborating with a lot of fools and powering businesses, not marriage. >>Well, you're vividly describing the business case for sustainability. What do you see as the future of cloud when thinking about it through this lens of sustainability and also going back to what you were talking about in terms of how you are helping your fostering cooperation within these organizations? >>That's a very good question, because so if you look at today, right, businesses are obviously environmentally aware, and they are expanding efforts to decrease power consumption, carbon emissions, and they want to run a sustainable operational efficiency across all elements of the business. And this is an increasing trend. And there is that option off energy efficient infrastructure in the global market. And this trend is the cloud. First thinking and with the right cloud migration that we've been discussing is what unlocking new opportunity, like clean energy transitions enabled, enabled by cloud based geographic analysis, material based reductions and better data insights. And this is something that, well, we'll drive with obviously faster analytics platform that is out there now. The sustainability is actually the future of business, which is companies that have historically different the financial security or agility benefits to cloud. Now sustainability becomes an imperative for them and our own experience. Accenture's experience with cloud migrations We have seen 30 to 40% total cost of ownership savings on its driving. Ah, greater workloads, flexibility, better service, somebody utilization and obviously more energy efficient public clouds that cost obviously well, that that drive a lot of these enterprise own data centers. So in our view, what we're seeing is that this this, uh, sustainable cloud position helps helps companies to a drive a lot of the goals, in addition to their financial and other goals. >>So what should organizations who are who are watching this interview and saying, Hey, I need to know more. What do you recommend to them and what? Where should they go to get more information on Green Cloud. >>You know, if you're if you're a business leader and you're thinking about which cloud provider is good, how should applications be modernized to meet our day to day needs Which cloud driven innovation should be priorities? Uh, you know, that's why Accenture, uh, from the Cloud First organization and essentially to provide the whole stack of cloud services to help our clients become a cloud first business. You know, it's all about exhibition. The digital transformation innovating faster, creating differentiated and sustainable value for our clients. And we're powering it up with 70,000 cloud professionals, $3 billion investment and bringing together unmasked depth and breadth of cloud services for our clients in terms of plant solutions and obviously the ecosystem partnership that we have that we're seeing today, Andi assets that help our clients realize that goes on and again toe do reach out to us way can help them to two men, obviously an optimal, sustainable cloud for solution that meets the business needs and being unprecedented levels of innovation. Our experience will be an advantage. And now more than ever, Rebecca. >>So just closing us out here, Do you have any advice for these companies who are navigating a great deal of uncertainty? We What? What do you think? The next 12 to 24 months. What do you think that should be on the minds of CEOs as they go >>forward. So as CEOs are thinking about rapidly leveraging cloud migrating to cloud off, one of the elements that we want them to be thoughtful about is can they do that with unprecedented level of innovation, but also build a greener planet and a greener balance sheet? If we can achieve this balance and and kind off have, ah, have, ah, world, which is greener. I think the world will win and we all along with extension of clients, will win. That's what I will say, Rebecca. >>That is an optimistic outlook, and I will take it. Thank you so much. Key shore for coming on the show. >>Thank you so much. >>That was Accenture's Key Shore. Dirk Rebecca. Night. Stay tuned for more of the Cube virtual coverage of the Accenture Executive Summit

>> Announcer: From around the globe, It's theCUBE with digital coverage of Accenture Executive Summit brought to you by Accenture. >> Welcome everyone to theCUBEs coverage of the Accenture Executive Summit part of AWS reinvent, I'm your host Rebecca Knight. Today we're welcoming back two CUBE alum, We have Kishore Durg, he is the Accenture Senior Managing Director, Cloud First Global Services Lead. Welcome back to the show Kishore. >> Thank you very much Rebecca, nice to meet again. >> Nice to meet you again, and Tristan Morel L'Horset, he is the Managing Director Accenture Cloud First North American Crows, welcome back to you Tristan. >> Great to be back and great to see you again, Rebecca. >> Exactly, even in this virtual format, it is good to see your faces. Today we're going to be talking about myNav and Green Cloud Advisor Capability. Kishore I want to start with you. So myNav is a platform that is really celebrating its first year in existence, November, 2019 is when Accenture introduced it, but it has new relevance in light of this global pandemic that we are all enduring and suffering through. Tell us a little bit about the myNav platform, what it is? >> Sure, Rebecca, we lost it and now what, 2019 and its a does that cloud platform to help our clients navigate the complexity of cloud and cloud decisions and to make it faster and obviously innovating the cloud. With the increased relevance and all the especially over the last few months with the impact of COVID crisis and exhibition of digital transformation, we are seeing the transformation or the acceleration to cloud much faster. This platform that we're talking about has enabled 140 clients globally across different industries to identify the right cloud solution, navigate the complexity, provide a cloud specific solution, simulate what our clients to meet the strategy business needs, and the plant are loving it. >> I want to go to you now Tristan, tell us a little bit about how myNav works and how it helps companies make good cloud choices. >> Yeah, so Rebecca, we've talked about cloud is more than just infrastructure and that's what myNav tries to solve for it. It really looks at a variety of variables, including infrastructure, operating model and fundamentally what clients' business outcomes our clients are looking for, and identify as the optimal solution for what they need and we designed this to accelerate, and we mentioned the pandemic, one of the big focus now is to accelerate. And so we worked through a three-step process. The first is scanning and assessing our client's infrastructure, their data landscape, their application. Second, we use our automated artificial intelligence engine to interact with... We have a wide variety and library of collective plan expertise, and we look to recommend what is the enterprise architecture and solution. And then third, before we aligned with our clients, we look to simulate and test this scaled up model, and this simulation gives our clients a way to see what cloud is going to look like, feel like and how it's going to transform their business before they go there. >> So tell us a little bit about that in real life now as a company so many of people are working remotely having to collaborate not in real life, How is that helping them right now, Tristan? >> So the pandemic has put a tremendous strain on systems because of the demand on those systems and so we talk about resiliency, we also now need to collaborate across data across people, I think all of us are calling from a variety of different places where last year we were all at theCUBE itself, and cloud technologies such as teams, Zoom that we're leveraging now has fundamentally accelerated and clients are looking to on board this for their capabilities, they're trying to accelerate their journey, they realize that now the cloud is what is going to become important for them to differentiate once we come out of the pandemic and the ability to collaborate with their employees, their partners, and their clients through these systems is becoming a true business differentiator for our clients. >> Kishore, I want to talk with you now about myNav multiple capabilities and helping clients design and navigate their cloud journeys. Tell us a little bit about the green cloud advisor capability and its significance particularly as so many companies are thinking more deeply and thoughtfully about sustainability. >> Yes, so since the launch of myNav, we continue to enhance capabilities for our clients. One of the significant capabilities that we have enabled is the lead cloud advisor. Today Rebecca a lot of the businesses are more environmentally aware and are expanding efforts to decrease power consumption and obviously carbon emissions and run a sustainable operations across every aspect of the enterprise. As a result, you're seeing an increasing trend in adoption of energy efficient infrastructure in the global market. And one of the things that we did a lot of research we found out is that there's an ability to influence our client's carbon footprint through a better cloud solution and that's what being green cloud advisor brings to us. In terms of a lot of the client connotation that we're seeing in Europe, North America and others, lot of our clients are accelerating to a green cloud strategy to unlock greater financial, societal and environmental benefit through obviously cloud-based circular operational and sustainable products and services. That is something that we are enhancing myNav and we're having active client discussions at these point of tome. >> So Tristan, tell us a little bit about how this capability helps clients make greener decisions? >> Yeah, well, let's start about the investments from the cloud providers in renewable and sustainable energy. They have... Most of the hyperscalers today, have been investing significantly on data centers that are run on renewable energy, some incredibly creative constructs on how to do that. And sustainability is there for a key item of importance for the hyperscalers and also for our clients who now are looking for sustainable energy. And it turns out this marriage is now possible, I can we re-marry the green capabilities of the cloud providers with a sustainability agenda of our clients. And so what we look into way the myNav works is it looks at industry benchmarks and evaluates our current clients capabilities and carbon footprint leveraging their existing data centers. We then look to model from an end-to-end perspective, how their journey to the cloud leveraging sustainable and data centers with renewable energy, we look at how their solution will look like and quantify carbon tax credits improve a green index score and provide quantifiable green cloud capabilities and measurable outcomes to our clients shareholders, stakeholders, clients, and customers. And our green plot advisor's sustainability solutions already been implemented at three clients, and in many cases in two cases has helped them reduce the carbon footprint by up to 400% to migration from their existing data center to a green cloud, very, very important item. >> That is remarkable. Now tell us a little bit about the kinds of clients, is this more interesting to clients in Europe? Would you say that it's catching on in the United States? what is the breakdown that you're seeing right now? >> Sustainability has becoming such a global agenda and we're seeing our clients tie this and put this at board level agenda and requirements across the globe. Europe has specific constraints around data sovereignty, where they need their data in country, but from a green a sustainability agenda we see clients across all our markets, North America, Europe, and our growth markets adopt this and we have seen case studies in all three markets. >> Kishore, I want to bring you back into the conversation, talk a little bit about how myNav ties into Accenture's cloud first strategy, your Accenture's CEO, Julie Sweet has talked about post COVID leadership requiring every business to become a cloud first business. Tell us a little bit about how this ethos is in Accenture and how you're sort of looking outward with it too? >> So Rebecca myNav is the launch pad to a cloud first transformation for our clients. Accenture, CEO Julie Sweet shared the Accenture cloud first and our substantial investment demonstrate our commitment and is delivering data value for our clients when they need it the most. And with the digital transformation requiring cloud at scale we're seeing that in the post COVID leadership it requires that every business should become a cloud business, and myNav helps them get there by evaluating the cloud landscape, navigating the complexity, modeling architecting and simulating an optimal cloud solution for our clients and as Tristan was sharing a greener cloud. >> So Tristan talk a little bit more about some of the real life use cases in terms of what are clients seeing? What are the results that they're having? >> Yes, thank you Rebecca. I would say two key things around myNav. the first is the iterative process, clients don't want to wait until they get started, they want to get started and see what their journey is going to look like. And the second is fundamental acceleration, the pandemic as we talked about has accelerated the need to move to cloud very quickly and myNav is there to do that. So how do we do that? First is generating the business cases. Clients need to know in many cases that they have a business case, and by business case we talk about the financial benefits as well as the business outcomes, the green cloud of impact sustainability on the impact. With myNav we can build initial recommendations using a basic understanding of their environment and benchmarks in weeks versus months with indicative value savings and the millions of dollars arranges. So for example very recently we worked with a global oil and gas company, and in only two weeks, we're able to provide an indicative savings worth $27 million over five years. This enabled the client to get started, knowing that there is a business case benefit and then iterate on it. And this iteration is, I would say the second point that is particularly important with myNav that we've seen in Bangalore clients, which is any journey starts with an understanding of what is the application landscape and what are we trying to do with those. These initial assessments that used to take six to eight weeks are now taking anywhere from two to four weeks. So we're seeing a 40 to 50% reduction in the initial assessment, which gets clients started in their journey. And then finally we've had discussions with all of the hyperscalers to help partner with Accenture and leverage myNav to prepared their detailed business case module as they're going to clients and as they're accelerating the client's journey. So real results, real acceleration and is there a journey? Do I have a business case? And furthermore accelerating the journey once we are by giving the ability to work in an iterative approach. >> I mean, it sounds as though the company that clients and employees are sort of saying, this is an amazing time savings look at what I can do here in a condensed amount of time, but in terms of getting everyone on board, one of the things we talked about last time we met Tristan was just how much... One of the obstacles is getting people to sign on and the new technologies and new platforms, those are often the obstacles and struggles that companies face. Have you found that at all? Or what is sort of the feedback that you're getting from employees? >> Yes, clearly there are always obstacles to a cloud journey. If there were an obstacles all our clients would be already fully in the cloud. Well, myNav gives the ability is to navigate through those to start quickly, and then as we identify obstacles we can simulate what things are going to look like, we can continue with certain parts of the journey while we deal with that obstacle, and it's a fundamental accelerator, whereas in the past one obstacle would prevent a client from starting, we can now start to address the obstacles one at a time while continuing and accelerating the client journey, that is the fundamental difference. >> Kishore, I want to give you the final word here, tell us a little bit about what is next for Accenture myNav and what we'll be discussing next year at the Accenture Executive Summit >> Sort of echo, we are continuously evolving with our client needs and reinventing for the future. For myNav SaaS green cloud advisor our plan is to help our clients reduce carbon footprint and again migrate to our greener cloud. And additionally, we're looking at two capabilities which includes sovereign cloud advisor with clients especially in Europe and others are under pressure to meet stringent data norms that Kristan was talking about, and the sovereignty advisor health organization to create an cloud architecture that complies with the green, I would say the data sovereignty norms that is out there. The other element is around data to cloud, we are seeing massive migration for a lot of the data to cloud, and there's a lot of migration hurdles that come within that, we have expanded myNav to support assessment capabilities for assessing applications, infrastructure, but also covering the entire estate, including data and the code level to determine the right cloud solution. So we are pushing the boundaries on what myNav can do, with myNav we have created the ability to take the guesswork out of cloud, navigate the complexity, we are lowering risks costs, and we are achieving client's strategic business objectives while building a sustainable lots with green cloud. >> Any platform that can take some of the guesswork out of the future I'm on board with. Thank you so much, Kristan and Kishore, this has been a great conference. >> Thank you Rebecca. >> Thank you Rebecca. >> Stay tuned for more of theCUBEs coverage of the Accenture Executive Summit, I'm Rebecca ca Knight. (upbeat music)

(ambient music) >> Narrator: From the cube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hello welcome to this cube conversation. I'm John Furrier, host of theCUBE here in our Palo Alto studios. During this quarantine, crew doing all the interviews, getting all the top story especially during this COVID pandemic. Great conversation here Jitesh Ghai, Senior Vice President and General Manager of Data Management with Informatica, CUBE alumni multi time. We can't be in person this year, because of the pandemic but a lot of great content. We've been doing a lot of interviews with you guys. Jitesh great to see you. Thanks for coming on. >> Hey, great to see you again. We weren't able to make it happen in person this year, >> but if not in person, >> virtually will have to work. >>In our past conversations on theCUBE and through all the Informatica employees it's always been kind of an inside baseball, kind of inside the ropes conversation in the industry >> about data. >> Now more than ever, with the pandemic, you starting to see people seeing it. Oh, I get it now. I get why data is important. I can see why Cloud First, Mobile First, Data First strategies and now Virtual First, is now this transformational scene. Everyone's feeling it, you can't help not ignore it. It's happening. It's also highlighting what's working, what's not. I have to ask you in the current environment Jitesh what are you seeing as some of those opportunities that your customers are dealing with approach to data? 'Cause clearly, you're working with that data layer, there's a lot of innovation opportunities, you've got CLAIRE on the AI side, all great. But now with the pandemic, it's really forcing that conversation. I got to rethink about what's going to happen after and have a really good strategy. >> Yeah, you're exactly right. There's a broad based realization that, I'll take a step back. First, we all know that as global 2000 organizations or in general, we all need to be data driven, we need to make fact based decisions. And there is a lot of that good work that's happened over the last few years as organizations have realized just how important data is to innovate and to deliver new products and services, new business models. What's really happened is that, during this COVID pandemic, there is a greater appreciation for trust in data. Historically, organizations became data driven, we're on the journey of being increasingly data driven. However, there was some element of Oh, gut or experience and that combined with data will get us to the outcomes we're looking for, will enable us to make the decisions. In this pandemic world of great uncertainty, supply chains falling apart on occasion, groceries not getting delivered on time et cetra, et cetra. The appreciation and critical importance on the quality on the trust of data is greater than ever to drive the insights for organizations. Leaders are less hesitant or sorry, leaders are more hesitant to just go with your gut type of approaches. There is a tremendous reliance on data. And we're seeing it in particular, more than ever, as you can imagine in the healthcare provider sector, in the public sector with federal state and local, as all of these organizations are having to make very difficult decisions, and are increasingly relying on high quality, trustworthy governed data to help them make what can be life or death decision. So a big shift and appreciation for the importance and trustworthiness in their data, their data state and their insights. >> So as the GM of data management and Senior Vice President at Informatica, you get a good view of things. I got to ask you love this data 4.0 concept. Talk about what that means to you because you got customers have been doing data management with you guys for a while, but now it's data 4.0 that has a feeling of agility to it. It's got kind of a DevOps vibe. It feels like a lot of automation being discussed and you mentioned trust. What is data 4.0 mean? >> So data 4.0 for us is where AI and ML is powering data management. And so what do I mean by that? There is a greater insight and appreciation for high quality trustworthy data to enable organizations to make fact based decisions to be more data driven. But how do you do that when data is exponentially growing in volume, where data types are increasing, where data is moving increasingly between Clouds, between On-premises and Clouds between various ecosystems, new data sources are emerging, the internet of things is yet another exploding source of data. This is a lot of different types of data, a lot of volume of data, a lot of different locations, and gravity of data where data resides. So the question becomes how do you practically manage this data without intelligence and automation. And that's what the era of data 4.0 is. Where AI and ML is powering data management, making it more intelligent, automating more and more of what was historically manual to enable organizations to scale, to enable them to scale to the breadth of data that they need to get a greater understanding of their data landscape within the enterprise, to get a greater understanding of the quality of the data within their landscape, how it's moving, and the associated privacy implications of how that data is being used, how effectively it's protected, so on and so forth. All underpinned by our CLAIRE engine, which is AI and ML applied to metadata, to deliver the intelligence and enable the automation of the data management operations. >> Awesome. Thanks for taking the time to define that, love that. The question I want to ask you, I'll put you on the spot here because I think this is an important conversation we've been having and also writing a lot about it on siliconangle.com and that is customers say to us, "Hey, John, I'm investing in Cloud Native technologies, using Cloud data warehouse as a data lakes. I need to make this work because this is a scale opportunity. I need to come out of this pandemic with really agile, scalable solutions that I can move fast on my applications." How do you comment on that? What's your thoughts on this because, you guys are in the middle of all this with the data management. >> I couldn't agree more. Increasingly, data workloads are moving to the Cloud. It's projected that by 2022, 75% of all databases will be in the Cloud, and COVID-19 is really accelerating it. It's opening the eyes of leadership of decision makers to be truly Cloud First and Cloud Native, now more than ever. And so organizations, traditional banking organizations, highly regulated industries that have been hesitant to move to the cloud, are now aggressively embarking on that journey. And industries that were early adopters of the Cloud are now accelerating that journey. I mentioned earlier that, we had a very seamless transition as we moved to a work from home environment, and that's because our IT is Cloud First Cloud Native. And why is that? It's because it's through being Cloud First and Cloud Native that you get the resiliency, the agility, the flexibility benefits in these uncertain times. And we're seeing that with the data and analytics stack as well. Customers are accelerating the move to Cloud data warehouses to Cloud data lakes, and become Cloud Native for their data management stack in addition to the data analytics platforms. >> Great stuff which I agree with hundred percent. Cloud Native is where it goes but you aren't they're (laughs) yet. Still on Hybrid and Multi-cloud is a big discussion. I want to get your thoughts >> Completely. >> On how that's going to play up because if you put Hybrid cloud and Multi-cloud I see Public cloud it's amazing, we know that. But Hybrid and Multi-cloud as the next generation of kind of interoperability framework of Cloud services, you're going to have to overlay and manage data governance and privacy. It's going to get more complicated, right? So how are you seeing your customers approach that piece, on the Public side, and then with Hybrid, because that's become a big discussion point. >> So Hybrid is an absolutely critical enabling capability as organizations modernize their on premise estate into the Cloud. You need to be able to move and connect to your On-premise applications, databases, and migrate the data that's important into the Cloud. So Hybrid is an essential capability. When I say Informatica is Cloud First Cloud Native, being Cloud First Cloud Native as a data management as a service provider if you will, requires essentially capabilities of being able to connect to On-premise data sources and therefore, be Hybrid. So Hybrid architecture is an essential part of that. Equally, it's important to enable organizations to understand what needs to go to the Cloud. As you're modernizing your infrastructure, your applications, your data and analytics stack. You don't need to bring everything to the Cloud with you. So there's an opportunity for organizations to introduce efficiencies. And that's done by enabling organizations to really scan the data landscape On-premise, scan the data that already exists in the various Public clouds that they partner with, and understand what's important, what's not, what can be decommissioned and left behind to realize savings and what is important for the business and needs to be moved into a Cloud Native analytic stack. And that's really where our CLAIRE metadata intelligence capabilities come to bear. And that's really what serves as the foundation of data governance, data cataloging and data privacy, to enable organizations to get the right data into the Cloud. To do so, while ensuring privacy. And to ensure that they govern that data in their new now Cloud Native analytics stack, whether it's AWS, Azure, GCP, snowflake data, bricks, all partners, all deep partnerships that we have. >> Jitesh, I want to get your thoughts on something. I was having a Zoom call a couple weeks ago, with a bunch of CXO friends, people, practitioners, probably some of them are probably your customers. It was kind of a social get together. But we were talking about, how the world we're living in pandemic, from COVID data, fake news, and one of the comments was, finally the whole world now realized what my life like. And in referring to how we're seeing fake news and misinformation kind of screw up an election and you got COVID's got 10 zillion different data points and people are making it to tell stories. And what does it really mean? There's a lot of trust involved. People are confused, and all that's going on. Again, in that backdrop, he said that that's my world. >> Right. This is back down to some of the things you're talking about, trust. We've talked about metadata services in the past. This authenticity, the duck democratization has been around for a while in the enterprise, so that dealing with bad data or fake data or too much data, you can make data (laughs) into whatever you want. You got to make sense of it. What's your thoughts on the reaction to his comment? I mean, what does it make you feel? >> Completely agree, completely agree. And that goes back to the earlier comment I made about making fact based decisions that you can have confidence in because the insight is based on trusted data. And so you mentioned data democratization. Our point of view is to democratize data, you have to do it on a foundational governance, right? There's a reason why traffic lights exist, it's to facilitate or at least attempt to facilitate the optimal free flow of traffic without getting into accidents, without causing congestion, so on and so forth. Equally, you need to have a foundation of governance. And I realized that there's an optical tension of democratized data, which is, free data for everybody consume it whenever and however you want, and then governance, which seems to imply, locking things down controlling them. And really, when I say you need a foundation of data governance, you need to enable for organizations to implement guardrails so that data can be effectively democratized. So that data consumers can easily find data. They can understand how trustworthy it is, what the quality of it is, and they can access it in easy way and consume it, while adhering to the appropriate privacy policies that are fit for the use of that particular set of data that a data and data consumer wants to access. And so, how do you practically do that? That's where data 4.0 AI power data management comes into play. In that, you need to build a foundation of what we call intelligent data governance. A foundation of scanning metadata, combining it with business metadata, linking it into an enterprise knowledge graph that gives you an understanding of an organization and enterprises data language. It auto tags auto curates, it gives you insight into the quality of the data, and now enables organizations to publish these curated data sets into a capability, what we call a data marketplace, so that much like Amazon.com, you can shop for the data, you can browse home and garden, electronics various categories. You can identify the data sets that are interesting to you, when you select them, you can look at the quality dimensions that have already been analyzed and associated with the data set. And you can also review the privacy policies that govern the use of that data set. And if you're interested in it, find the data sets, add them to your shopping cart, like you would do with Amazon.com, and check out. And when you do that triggers off an approval workflow to enable organizations to that last mile of governing access. And once approved, we can automatically provision the datasets to wherever you want to analyze them, whether it's in Tableau Power BI, an S3 market, what have you. And that is what I mean by a foundation of intelligent data governance. That is enabling data democratization. >> A common metadata layer gives you capabilities to use AI, I get that, There's a concept that you guys are talking a lot about, this augmentation to the data. This augmented data management activities that go on. What does that mean? Can you describe and explain that further and unpack that? This augmented data management activity? >> Yeah, and what do we mean by augmented data management, it's a really a first step into full blown automation of data management. In the old world, a developer would connect to a source, parse the source schema, connect to another source, parse its source schema, connect to the target, understand the target schema, and then pick the appropriate fields from the various sources, structure it through a mapping and then run a job that transforms the data and delivers it to a target database, in its structure, in its schema, in its format. Now that we have enterprise scale metadata intelligence, we know what source of data looks like, we know what targets exist as you simply pick sources and targets, we're able to automatically generate the mappings and automate this development part of the process so that organizations can more rapidly build out data pipelines to support their AI to operationalize AIML, to enable data science, and to enable analytics. >> Jitesh great insight. I really appreciate you explaining all this concept and unpacking that with me. Final point, I'd love you to have you just take a minute to put the plug in there for Informatica, what you're working on? What are your customers doing? What are some of the best practices coming out of the current situation? Take a minute to talk about that. >> Yeah, thank you, I'm happy to. It really comes down to focusing on enabling organizations to have a complete understanding of their data landscape. And that is, where we're enabling organizations to build an enterprise knowledge graph of technical metadata, business metadata, operational usage metadata, social metadata to understand and link and develop the necessary context to understand what data exists, where how it's used, what its purpose is and whether or not you should be using. And that's where we're building the Google for the enterprise to help organizations develop that. Equally, leveraging that insight, we're building out the necessary that insight and intelligence through CLAIRE, we're building out the automation in the data quality capabilities, in the data integration capabilities, in the metadata management capabilities, in the master data management capabilities, as well as the data privacy capability. So things that our tooling historically used to do manually, we're just automating it so that organizations can more productively access data, understand it and scale their understanding and insight and analytics initiatives with greater trust greater insight. It's all built on a foundation of our intelligent data platform. >> Love it, scaling data. It's that's really the future fast, available, highly available, integrated to the applications for AI. That's the future. >> Exactly right. Data 4.0, (laughs) AI power data management. >> I love talking about data in the future, because I think that's really valuable. And I think developers, and I've always been saying for over a decade now data is a critical piece for the applications, and AI really unlocks that of having it available, and surface is critical. You guys doing a great job. Thanks for the insight, appreciate you Jitesh. Thank you for coming on. >> Thanks for having me. Pleasure to be here. >> You couldn't do it in person with Informatica world but we're getting the conversations here on the remote CUBE, CUBE virtual. I'm John Furrier, you're watching CUBE conversation with Jitesh Ghai Senior Vice President General Manager, Data Manager at Informatica. Thanks for watching. (upbeat music)

(ambient music) >> Narrator: From the cube studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hello welcome to this cube conversation. I'm John Furrier, host of theCUBE here in our Palo Alto studios. During this quarantine, crew doing all the interviews, getting all the top story especially during this COVID pandemic. Great conversation here Jitesh Ghai, Senior Vice President and General Manager of Data Management with Informatica, CUBE alumni multi time. We can't be in person this year, because of the pandemic but a lot of great content. We've been doing a lot of interviews with you guys. Jitesh great to see you. Thanks for coming on. >> Hey, great to see you again. We weren't able to make it happen in person this year, but if not in person, virtually will have to work. >> One of the things, I'm a half glass half full kind of guy but you can't look at this without saying man, it's bad. But it really highlights how things are going on. So first, how are you doing? How's everyone Informatica doing over there? You guys are doing okay? >> We are well, we are well, families well, the Informatica family is well. So overall, can't complain can't complain, I think it was remarkable how quickly we were able to transition to a work from home environment for our global 5000 plus organization. And really, the fact that we're Cloud First Cloud Native, both in our product offerings, as well as an IT organization really helped make that transition seamless. >> In our past conversations on theCUBE and through all the Informatica employees it's always been kind of an inside baseball, kind of inside the ropes conversation in the industry about data. Now more than ever, with the pandemic, you starting to see people seeing it. Oh, I get it now. I get why data is important. I can see why Cloud First, Mobile First, Data First strategies and now Virtual First, is now this transformational scene. Everyone's feeling it, you can't help not ignore it. It's happening. It's also highlighting what's working, what's not. I have to ask you in the current environment Jitesh what are you seeing as some of those opportunities that your customers are dealing with approach to data? 'Cause clearly, you're working with that data layer, there's a lot of innovation opportunities, you've got CLAIRE on the AI side, all great. But now with the pandemic, it's really forcing that conversation. I got to rethink about what's going to happen after and have a really good strategy. >> Yeah, you're exactly right. There's a broad based realization that, I'll take a step back. First, we all know that as global 2000 organizations or in general, we all need to be data driven, we need to make fact based decisions. And there is a lot of that good work that's happened over the last few years as organizations have realized just how important data is to innovate and to deliver new products and services, new business models. What's really happened is that, during this COVID pandemic, there is a greater appreciation for trust in data. Historically, organizations became data driven, we're on the journey of being increasingly data driven. However, there was some element of Oh, gut or experience and that combined with data will get us to the outcomes we're looking for, will enable us to make the decisions. In this pandemic world of great uncertainty, supply chains falling apart on occasion, groceries not getting delivered on time et cetra, et cetra. The appreciation and critical importance on the quality on the trust of data is greater than ever to drive the insights for organizations. Leaders are less hesitant or sorry, leaders are more hesitant to just go with your gut type of approaches. There is a tremendous reliance on data. And we're seeing it in particular, more than ever, as you can imagine in the healthcare provider sector, in the public sector with federal state and local, as all of these organizations are having to make very difficult decisions, and are increasingly relying on high quality, trustworthy governed data to help them make what can be life or death decision. So a big shift and appreciation for the importance and trustworthiness in their data, their data state and their insights. >> So as the GM of data management and Senior Vice President at Informatica, you get a good view of things. I got to ask you love this data 4.0 concept. Talk about what that means to you because you got customers have been doing data management with you guys for a while, but now it's data 4.0 that has a feeling of agility to it. It's got kind of a DevOps vibe. It feels like a lot of automation being discussed and you mentioned trust. What is data 4.0 mean? >> So data 4.0 for us is where AI and ML is powering data management. And so what do I mean by that? There is a greater insight and appreciation for high quality trustworthy data to enable organizations to make fact based decisions to be more data driven. But how do you do that when data is exponentially growing in volume, where data types are increasing, where data is moving increasingly between Clouds, between On-premises and Clouds between various ecosystems, new data sources are emerging, the internet of things is yet another exploding source of data. This is a lot of different types of data, a lot of volume of data, a lot of different locations, and gravity of data where data resides. So the question becomes how do you practically manage this data without intelligence and automation. And that's what the era of data 4.0 is. Where AI and ML is powering data management, making it more intelligent, automating more and more of what was historically manual to enable organizations to scale, to enable them to scale to the breadth of data that they need to get a greater understanding of their data landscape within the enterprise, to get a greater understanding of the quality of the data within their landscape, how it's moving, and the associated privacy implications of how that data is being used, how effectively it's protected, so on and so forth. All underpinned by our CLAIRE engine, which is AI and ML applied to metadata, to deliver the intelligence and enable the automation of the data management operations. >> Awesome. Thanks for taking the time to define that, love that. The question I want to ask you, I'll put you on the spot here because I think this is an important conversation we've been having and also writing a lot about it on siliconangle.com and that is customers say to us, "Hey, John, I'm investing in Cloud Native technologies, using Cloud data warehouse as a data lakes. I need to make this work because this is a scale opportunity. I need to come out of this pandemic with really agile, scalable solutions that I can move fast on my applications." How do you comment on that? What's your thoughts on this because, you guys are in the middle of all this with the data management. >> I couldn't agree more. Increasingly, data workloads are moving to the Cloud. It's projected that by 2022, 75% of all databases will be in the Cloud, and COVID-19 is really accelerating it. It's opening the eyes of leadership of decision makers to be truly Cloud First and Cloud Native, now more than ever. And so organizations, traditional banking organizations, highly regulated industries that have been hesitant to move to the cloud, are now aggressively embarking on that journey. And industries that were early adopters of the Cloud are now accelerating that journey. I mentioned earlier that, we had a very seamless transition as we moved to a work from home environment, and that's because our IT is Cloud First Cloud Native. And why is that? It's because it's through being Cloud First and Cloud Native that you get the resiliency, the agility, the flexibility benefits in these uncertain times. And we're seeing that with the data and analytics stack as well. Customers are accelerating the move to Cloud data warehouses to Cloud data lakes, and become Cloud Native for their data management stack in addition to the data analytics platforms. >> Great stuff which I agree with hundred percent. Cloud Native is where it goes but you aren't they're (laughs) yet. Still on Hybrid and Multi-cloud is a big discussion. I want to get your thoughts >> Completely. >> On how that's going to play up because if you put Hybrid cloud and Multi-cloud I see Public cloud it's amazing, we know that. But Hybrid and Multi-cloud as the next generation of kind of interoperability framework of Cloud services, you're going to have to overlay and manage data governance and privacy. It's going to get more complicated, right? So how are you seeing your customers approach that piece, on the Public side, and then with Hybrid, because that's become a big discussion point. >> So Hybrid is an absolutely critical enabling capability as organizations modernize their on premise estate into the Cloud. You need to be able to move and connect to your On-premise applications, databases, and migrate the data that's important into the Cloud. So Hybrid is an essential capability. When I say Informatica is Cloud First Cloud Native, being Cloud First Cloud Native as a data management as a service provider if you will, requires essentially capabilities of being able to connect to On-premise data sources and therefore, be Hybrid. So Hybrid architecture is an essential part of that. Equally, it's important to enable organizations to understand what needs to go to the Cloud. As you're modernizing your infrastructure, your applications, your data and analytics stack. You don't need to bring everything to the Cloud with you. So there's an opportunity for organizations to introduce efficiencies. And that's done by enabling organizations to really scan the data landscape On-premise, scan the data that already exists in the various Public clouds that they partner with, and understand what's important, what's not, what can be decommissioned and left behind to realize savings and what is important for the business and needs to be moved into a Cloud Native analytic stack. And that's really where our CLAIRE metadata intelligence capabilities come to bear. And that's really what serves as the foundation of data governance, data cataloging and data privacy, to enable organizations to get the right data into the Cloud. To do so, while ensuring privacy. And to ensure that they govern that data in their new now Cloud Native analytics stack, whether it's AWS, Azure, GCP, snowflake data, bricks, all partners, all deep partnerships that we have. >> Jitesh, I want to get your thoughts on something. I was having a Zoom call a couple weeks ago, with a bunch of CXO friends, people, practitioners, probably some of them are probably your customers. It was kind of a social get together. But we were talking about, how the world we're living in pandemic, from COVID data, fake news, and one of the comments was, finally the whole world now realized what my life like. And in referring to how we're seeing fake news and misinformation kind of screw up an election and you got COVID's got 10 zillion different data points and people are making it to tell stories. And what does it really mean? There's a lot of trust involved. People are confused, and all that's going on. Again, in that backdrop, he said that that's my world. >> Right. This is back down to some of the things you're talking about, trust. We've talked about metadata services in the past. This authenticity, the duck democratization has been around for a while in the enterprise, so that dealing with bad data or fake data or too much data, you can make data (laughs) into whatever you want. You got to make sense of it. What's your thoughts on the reaction to his comment? I mean, what does it make you feel? >> Completely agree, completely agree. And that goes back to the earlier comment I made about making fact based decisions that you can have confidence in because the insight is based on trusted data. And so you mentioned data democratization. Our point of view is to democratize data, you have to do it on a foundational governance, right? There's a reason why traffic lights exist, it's to facilitate or at least attempt to facilitate the optimal free flow of traffic without getting into accidents, without causing congestion, so on and so forth. Equally, you need to have a foundation of governance. And I realized that there's an optical tension of democratized data, which is, free data for everybody consume it whenever and however you want, and then governance, which seems to imply, locking things down controlling them. And really, when I say you need a foundation of data governance, you need to enable for organizations to implement guardrails so that data can be effectively democratized. So that data consumers can easily find data. They can understand how trustworthy it is, what the quality of it is, and they can access it in easy way and consume it, while adhering to the appropriate privacy policies that are fit for the use of that particular set of data that a data and data consumer wants to access. And so, how do you practically do that? That's where data 4.0 AI power data management comes into play. In that, you need to build a foundation of what we call intelligent data governance. A foundation of scanning metadata, combining it with business metadata, linking it into an enterprise knowledge graph that gives you an understanding of an organization and enterprises data language. It auto tags auto curates, it gives you insight into the quality of the data, and now enables organizations to publish these curated data sets into a capability, what we call a data marketplace, so that much like Amazon.com, you can shop for the data, you can browse home and garden, electronics various categories. You can identify the data sets that are interesting to you, when you select them, you can look at the quality dimensions that have already been analyzed and associated with the data set. And you can also review the privacy policies that govern the use of that data set. And if you're interested in it, find the data sets, add them to your shopping cart, like you would do with Amazon.com, and check out. And when you do that triggers off an approval workflow to enable organizations to that last mile of governing access. And once approved, we can automatically provision the datasets to wherever you want to analyze them, whether it's in Tableau Power BI, an S3 market, what have you. And that is what I mean by a foundation of intelligent data governance. That is enabling data democratization. >> A common metadata layer gives you capabilities to use AI, I get that, There's a concept that you guys are talking a lot about, this augmentation to the data. This augmented data management activities that go on. What does that mean? Can you describe and explain that further and unpack that? This augmented data management activity? >> Yeah, and what do we mean by augmented data management, it's a really a first step into full blown automation of data management. In the old world, a developer would connect to a source, parse the source schema, connect to another source, parse its source schema, connect to the target, understand the target schema, and then pick the appropriate fields from the various sources, structure it through a mapping and then run a job that transforms the data and delivers it to a target database, in its structure, in its schema, in its format. Now that we have enterprise scale metadata intelligence, we know what source of data looks like, we know what targets exist as you simply pick sources and targets, we're able to automatically generate the mappings and automate this development part of the process so that organizations can more rapidly build out data pipelines to support their AI to operationalize AIML, to enable data science, and to enable analytics. >> Jitesh great insight. I really appreciate you explaining all this concept and unpacking that with me. Final point, I'd love you to have you just take a minute to put the plug in there for Informatica, what you're working on? What are your customers doing? What are some of the best practices coming out of the current situation? Take a minute to talk about that. >> Yeah, thank you, I'm happy to. It really comes down to focusing on enabling organizations to have a complete understanding of their data landscape. And that is, where we're enabling organizations to build an enterprise knowledge graph of technical metadata, business metadata, operational usage metadata, social metadata to understand and link and develop the necessary context to understand what data exists, where how it's used, what its purpose is and whether or not you should be using. And that's where we're building the Google for the enterprise to help organizations develop that. Equally, leveraging that insight, we're building out the necessary that insight and intelligence through CLAIRE, we're building out the automation in the data quality capabilities, in the data integration capabilities, in the metadata management capabilities, in the master data management capabilities, as well as the data privacy capability. So things that our tooling historically used to do manually, we're just automating it so that organizations can more productively access data, understand it and scale their understanding and insight and analytics initiatives with greater trust greater insight. It's all built on a foundation of our intelligent data platform. >> Love it, scaling data. It's that's really the future fast, available, highly available, integrated to the applications for AI. That's the future. >> Exactly right. Data 4.0, (laughs) AI power data management. >> I love talking about data in the future, because I think that's really valuable. And I think developers, and I've always been saying for over a decade now data is a critical piece for the applications, and AI really unlocks that of having it available, and surface is critical. You guys doing a great job. Thanks for the insight, appreciate you Jitesh. Thank you for coming on. >> Thanks for having me. Pleasure to be here. >> You couldn't do it in person with Informatica world but we're getting the conversations here on the remote CUBE, CUBE virtual. I'm John Furrier, you're watching CUBE conversation with Jitesh Ghai Senior Vice President General Manager, Data Manager at Informatica. Thanks for watching. (upbeat music)

>> Narrator: From theCUBE Studios in Palo Alto and Boston, it's theCUBE. Covering empowering the autonomous enterprise. Brought to you by Oracle Consulting. >> Welcome back to theCUBE. I'm Dave Valante. We're covering the transformation of Oracle Consulting, specifically focused on really what is what I consider a rebirth from really staff augmentation to a much more strategic partner for customers. And with me to explore that a little bit is Sherry Lautenbach. She's the Senior Vice President of Cloud Key Accounts at Oracle. And we're also joined by Pat Mongovin who's a group VP for the North American Cloud Strategy, also at Oracle. Folks, welcome to theCUBE. Thanks for coming on. >> Thanks Dave. >> Yep, thanks for having us. >> You're welcome. So Sherry, you're out talking to customers a lot, and I'm curious as to what that conversation is like, specifically as it relates to consulting. Are you bringing Oracle Consulting now into the conversation? What's that conversation like? >> Absolutely, in fact every conversation we have relating to our Cloud strategy, Oracle Consulting is part and parcel to that. They are not staff augmentation, they are actually the digital transformation arm of what we do around Cloud. So it's been really interesting to see what they've been able to do in terms of changing the narrative of what we do at Oracle from just a software company to really transforming to a Cloud provider. >> Strategy, obviously a fundamental part of any customer interaction. But what are you seeing? What underscores customer strategies? What are the business drivers for them right now? What are the catalysts that are driving their technology spending decision? >> Yeah, it's a great question Dave. I think a lot of it depends upon, especially in the times that we're in now, depends upon the industry that they're in. But, most importantly what we're seeing is right now is durability. So we want to make sure that the customers have our Oracle customers and others have an opportunity to have disaster recovery, business continuity. In this stage right now it's less about expansion per say, unless they're in an industry that's uniquely in a position for that and more about durability of the overall strategy. So when we look at that durability we think about kind of two core missions. We think about sort of back office operations and continuity and then we think about transformational revenue generation, and so when we partner with those, yes we want to make sure that we have both of those concepts in mind. >> You know we have a lot of talk about in our community about Cloud first. I think Oracle has sort of put forth the gauntlet of look, we're leading now with Cloud. You both have Cloud in your title, but obviously being Cloud first is more than that. Sherry, I wonder if you could talk about your customer's and your Cloud journey and share with us and kind of convince us that you are Cloud first. >> Sure, no that's a great question and in fact I joined Oracle about eleven months ago. I was in the industry for about 25 years and I joined specifically because I believe in what Oracle is doing around this Cloud journey. We are in our second generation of Cloud capabilities, and that's purposeful. And we do that because we've realized that where Cloud started and where we are today are two totally different things. And so we have capabilities around security, viability, extensions with autonomous, that other Cloud providers just simply don't have. And we've built these from the ground up to ensure that we can run Oracle workloads, databases and applications far better than any other Cloud provider. So it's a super exciting time to be at Oracle and it's absolutely fascinating what our customers are doing to adopt our technology. >> I want to ask you a sort of similar question. How fundamental is Cloud to organization strategies. Obviously everybody has a Cloud strategy. But I'm specifically asking as it relates to mission-critical workloads because let's face it. That's been the hardest to move into the Cloud. So, when you're out talking to customers about their strategy, and obviously dovetailing into Oracle's strategy, how do you align you know those two views? >> Yeah, it's actually a really fascinating question. So first, I think I would respond in the following way. When I think about our portfolio, I don't necessarily say Cloud first, I say customer first. And I really want the customer to make a decision based upon a deployment model that makes sense for that particular customer. Whether it's a regulated industry or the public sector or any sort of compliance considerations. So Oracle is one of the very few enterprise class Cloud providers that has, obviously, on-premise capabilities as well. And so, 99% of the cases that we see, with the exception of some of the sort of startup S&B-type folks, that are bored in the Cloud, we're dealing with the hybrid Cloud model anyway. And so that's kind of the first order of priorities, what's right for the customer and let's make sure that we get the appropriate deployment model for that customer. In terms of enterprise, essentially the workloads that we have. Whether it's Cloud or on-prem, are enterprise workloads. And those are kind of separated into two brackets. One would be for mission, sort of the revenue generation side, and one would be mission critical, sort of the back office. So Oracle is historically tremendous at the back office side, running finance, running operations, running the supply chain. Doing those things that are mission-critical. On the core mission side that's really where we're starting to focus now which is getting out into the revenue generation, the mission of the entity, with things like high-performance compute, and making sure that we have an ability to support our customers on both sides of the spectrum. >> Sherry, why are customers wanting to put mission-critical workloads in the Cloud? Is it the same sort of Cloud agility and cost, etc. I mean why not just leave it on-prem and keep it protected and maybe spend a little bit more? What's the driver for moving mission-critical workloads into the Cloud? >> Well, I think it's dependent upon what the initiatives are in the company, right? Are they looking for cost reduction, are they looking for top-line growth, are they looking for different capabilities around security that the Cloud can provide? The great thing about what we do is, we have optimized all of our workloads, both our databases and our applications into our Cloud. So we're providing additional capabilities but we're also saving a lot of money. So, we say all the time that you know put us to the test. Let us quantify what we would look like in the Cloud with our workloads versus a competitor. And we will guarantee that we will save you a lot of money. So I think that a lot of it has to do with one, it starts with potentially cost reduction, but then they start seeing additional business value driven out of and back to Oracle Consulting. What Oracle Consulting provides in terms of the business value in the Cloud is transformative for our customers. >> Talk about how you lead in these customer conversations. >> Right, well normally our entry point of one understanding what the business drivers are, right? It has to be a business-led discussion. It really isn't a technology starter point, right? It really is around what business problems are you trying to solve, and how can we help you solve them. And because we know your environments, we know what databases are employed and where they're deployed. What Oracle applications you're leveraging to run your business. We can, I think, successfully position ourselves very competitively against other Cloud providers. And I think that is then something that has resonated incredibly well with our customers, and in fact our largest customers. >> Yeah, so it seems like Oracle could solve things of an important ingredient as part of that strategy 'cause again, if it was five years ago and was just staff augmentation, that's really not a compelling conversation to have with customers. But if you can come in with a mindset of strategic partner, you're bringing in Deloitte, we've been talking to some of their professionals about the elevate program with Oracle. That is a nice lever that you can take advantage of. >> Absolutely, and in fact we've seen that, that is a huge opportunity for us because one, the partnership with Deloitte is incredibly strategic. We also partner with other companies like Accenture and DXC and IBM candidly. And Oracle Consulting is incredibly flexible in terms of what kind of partnerships and alignment they have with our customers, and it's really based on what the customer's preference is. >> Not just about feature or function, speeds and feeds, maybe you can address that, and where does Oracle Consulting fit in that equation? >> We firmly believe that every customer is going to want to have a different option for what they'll do in the Cloud and based on the provider. So we, one, we've partnered with Microsoft and we actually can interconnect our Clouds together to provide that kind of flexibility to our customers and consulting is a key component of that. So we engage our customers and talk about our Microsoft integration, our partnership or the consulting is the arm that does that work for us. So we are seeing them come about in a much different way, in a way that's differentiated between other consulting you know staff augmentation firms. >> I want to end on growth, Pat. Maybe talk about I mean Cloud, Cloud is the growth business, you look at Oracle's business, everybody's business. As Cloud is growing, everything else is either hanging on or declining, so it's all about growth. How do you drive growth, what is Cloud's role in terms of the growth strategy, and maybe add some color to that narrative. >> From a product perspective, I think we're sort of a luxury of riches around the autonomous capability which we haven't talked about. So that's something that's incredibly unique to Oracle. The autonomous database and all the autonomous services that we're rolling out. And that autonomous gives back to what we talked about earlier around security, around performance, around scalability and all these things. So that ultimately we're positioning the capabilities of the future but we're positioning them today. So we're a market leader in this space. We're not only is the Oracle database as you pointed out the market leader. We're a market leader in ERP Cloud and a bunch of the SaaS areas. But this autonomous segment of the market is crucial for us and crucial to our growth. >> Yeah it really is an enabler. I've been saying that it's almost compulsory for Oracle to participate and compete in the Cloud because it gives you that automation and that scale but you're talking about also setting up some future advantages of being able to take advantage of data, the combination of data, AI, and Cloud is the new superpower within the industry. Sherry, I want to end on you. Eleven months in at Oracle, let's say things work out great. You're here two, three, four years down the road, you look back. What does success look like? >> Success looks like every one of our customers moving to the Oracle Cloud and seeing incredible business value from that, partnering with Oracle Consulting. That's what my success criteria is. >> Guys, well listen. Thanks so much for coming on theCUBE where we've been tracking this transformation of Oracle Consulting and one of the things that's very clear as Oracle's obviously serious about Cloud but also serious about bringing in new talent and new skillsets, you're really not only transform Oracle but help transform your customers, so thank you for your time, really appreciate it. >> Thanks so much. >> Yep, you bet, thank you. >> All right, and thank you everybody for watching. This is Dave Valante for theCUBE. We'll see you next time. (bumper music)

>> Narrator: From theCUBE Studios in Palo Alto and Boston, it's theCUBE. Covering empowering the autonomous enterprise. Brought to you by Oracle Consulting. >> Welcome back to theCUBE. I'm Dave Valante. We're covering the transformation of Oracle Consulting, specifically focused on really what is what I consider a rebirth from really staff augmentation to a much more strategic partner for customers. And with me to explore that a little bit is Sherry Lautenbach. She's the Senior Vice President of Cloud Key Accounts at Oracle. And we're also joined by Pat Mongovin who's a group VP for the North American Cloud Strategy, also at Oracle. Folks, welcome to theCUBE. Thanks for coming on. >> Thanks Dave. >> Yep, thanks for having us. >> You're welcome. So Sherry, you're out talking to customers a lot, and I'm curious as to what that conversation is like, specifically as it relates to consulting. Are you bringing Oracle Consulting now into the conversation? What's that conversation like? >> Absolutely, in fact every conversation we have relating to our Cloud strategy, Oracle Consulting is part and parcel to that. They are not staff augmentation, they are actually the digital transformation arm of what we do around Cloud. So it's been really interesting to see what they've been able to do in terms of changing the narrative of what we do at Oracle from just a software company to really transforming to a Cloud provider. >> Strategy, obviously a fundamental part of any customer interaction. But what are you seeing? What underscores customer strategies? What are the business drivers for them right now? What are the catalysts that are driving their technology spending decision? >> Yeah, it's a great question Dave. I think a lot of it depends upon, especially in the times that we're in now, depends upon the industry that they're in. But, most importantly what we're seeing is right now is durability. So we want to make sure that the customers have our Oracle customers and others have an opportunity to have disaster recovery, business continuity. In this stage right now it's less about expansion per say, unless they're in an industry that's uniquely in a position for that and more about durability of the overall strategy. So when we look at that durability we think about kind of two core missions. We think about sort of back office operations and continuity and then we think about transformational revenue generation, and so when we partner with those, yes we want to make sure that we have both of those concepts in mind. >> You know we have a lot of talk about in our community about Cloud first. I think Oracle has sort of put forth the gauntlet of look, we're leading now with Cloud. You both have Cloud in your title, but obviously being Cloud first is more than that. Sherry, I wonder if you could talk about your customer's and your Cloud journey and share with us and kind of convince us that you are Cloud first. >> Sure, no that's a great question and in fact I joined Oracle about eleven months ago. I was in the industry for about 25 years and I joined specifically because I believe in what Oracle is doing around this Cloud journey. We are in our second generation of Cloud capabilities, and that's purposeful. And we do that because we've realized that where Cloud started and where we are today are two totally different things. And so we have capabilities around security, viability, extensions with autonomous, that other Cloud providers just simply don't have. And we've built these from the ground up to ensure that we can run Oracle workloads, databases and applications far better than any other Cloud provider. So it's a super exciting time to be at Oracle and it's absolutely fascinating what our customers are doing to adopt our technology. >> I want to ask you a sort of similar question. How fundamental is Cloud to organization strategies. Obviously everybody has a Cloud strategy. But I'm specifically asking as it relates to mission-critical workloads because let's face it. That's been the hardest to move into the Cloud. So, when you're out talking to customers about their strategy, and obviously dovetailing into Oracle's strategy, how do you align you know those two views? >> Yeah, it's actually a really fascinating question. So first, I think I would respond in the following way. When I think about our portfolio, I don't necessarily say Cloud first, I say customer first. And I really want the customer to make a decision based upon a deployment model that makes sense for that particular customer. Whether it's a regulated industry or the public sector or any sort of compliance considerations. So Oracle is one of the very few enterprise class Cloud providers that has, obviously, on-premise capabilities as well. And so, 99% of the cases that we see, with the exception of some of the sort of startup S&B-type folks, that are bored in the Cloud, we're dealing with the hybrid Cloud model anyway. And so that's kind of the first order of priorities, what's right for the customer and let's make sure that we get the appropriate deployment model for that customer. In terms of enterprise, essentially the workloads that we have. Whether it's Cloud or on-prem, are enterprise workloads. And those are kind of separated into two brackets. One would be for mission, sort of the revenue generation side, and one would be mission critical, sort of the back office. So Oracle is historically tremendous at the back office side, running finance, running operations, running the supply chain. Doing those things that are mission-critical. On the core mission side that's really where we're starting to focus now which is getting out into the revenue generation, the mission of the entity, with things like high-performance compute, and making sure that we have an ability to support our customers on both sides of the spectrum. >> Sherry, why are customers wanting to put mission-critical workloads in the Cloud? Is it the same sort of Cloud agility and cost, etc. I mean why not just leave it on-prem and keep it protected and maybe spend a little bit more? What's the driver for moving mission-critical workloads into the Cloud? >> Well, I think it's dependent upon what the initiatives are in the company, right? Are they looking for cost reduction, are they looking for top-line growth, are they looking for different capabilities around security that the Cloud can provide? The great thing about what we do is, we have optimized all of our workloads, both our databases and our applications into our Cloud. So we're providing additional capabilities but we're also saving a lot of money. So, we say all the time that you know put us to the test. Let us quantify what we would look like in the Cloud with our workloads versus a competitor. And we will guarantee that we will save you a lot of money. So I think that a lot of it has to do with one, it starts with potentially cost reduction, but then they start seeing additional business value driven out of and back to Oracle Consulting. What Oracle Consulting provides in terms of the business value in the Cloud is transformative for our customers. >> Talk about how you lead in these customer conversations. >> Right, well normally our entry point of one understanding what the business drivers are, right? It has to be a business-led discussion. It really isn't a technology starter point, right? It really is around what business problems are you trying to solve, and how can we help you solve them. And because we know your environments, we know what databases are employed and where they're deployed. What Oracle applications you're leveraging to run your business. We can, I think, successfully position ourselves very competitively against other Cloud providers. And I think that is then something that has resonated incredibly well with our customers, and in fact our largest customers. >> Yeah, so it seems like Oracle could solve things of an important ingredient as part of that strategy 'cause again, if it was five years ago and was just staff augmentation, that's really not a compelling conversation to have with customers. But if you can come in with a mindset of strategic partner, you're bringing in Deloitte, we've been talking to some of their professionals about the elevate program with Oracle. That is a nice lever that you can take advantage of. >> Absolutely, and in fact we've seen that, that is a huge opportunity for us because one, the partnership with Deloitte is incredibly strategic. We also partner with other companies like Accenture and DXC and IBM candidly. And Oracle Consulting is incredibly flexible in terms of what kind of partnerships and alignment they have with our customers, and it's really based on what the customer's preference is. >> Not just about feature or function, speeds and feeds, maybe you can address that, and where does Oracle Consulting fit in that equation? >> We firmly believe that every customer is going to want to have a different option for what they'll do in the Cloud and based on the provider. So we, one, we've partnered with Microsoft and we actually can interconnect our Clouds together to provide that kind of flexibility to our customers and consulting is a key component of that. So we engage our customers and talk about our Microsoft integration, our partnership or the consulting is the arm that does that work for us. So we are seeing them come about in a much different way, in a way that's differentiated between other consulting you know staff augmentation firms. >> I want to end on growth, Pat. Maybe talk about I mean Cloud, Cloud is the growth business, you look at Oracle's business, everybody's business. As Cloud is growing, everything else is either hanging on or declining, so it's all about growth. How do you drive growth, what is Cloud's role in terms of the growth strategy, and maybe add some color to that narrative. >> From a product perspective, I think we're sort of a luxury of riches around the autonomous capability which we haven't talked about. So that's something that's incredibly unique to Oracle. The autonomous database and all the autonomous services that we're rolling out. And that autonomous gives back to what we talked about earlier around security, around performance, around scalability and all these things. So that ultimately we're positioning the capabilities of the future but we're positioning them today. So we're a market leader in this space. We're not only is the Oracle database as you pointed out the market leader. We're a market leader in ERP Cloud and a bunch of the SaaS areas. But this autonomous segment of the market is crucial for us and crucial to our growth. >> Yeah it really is an enabler. I've been saying that it's almost compulsory for Oracle to participate and compete in the Cloud because it gives you that automation and that scale but you're talking about also setting up some future advantages of being able to take advantage of data, the combination of data, AI, and Cloud is the new superpower within the industry. Sherry, I want to end on you. Eleven months in at Oracle, let's say things work out great. You're here two, three, four years down the road, you look back. What does success look like? >> Success looks like every one of our customers moving to the Oracle Cloud and seeing incredible business value from that, partnering with Oracle Consulting. That's what my success criteria is. >> Guys, well listen. Thanks so much for coming on theCUBE where we've been tracking this transformation of Oracle Consulting and one of the things that's very clear as Oracle's obviously serious about Cloud but also serious about bringing in new talent and new skillsets, you're really not only transform Oracle but help transform your customers, so thank you for your time, really appreciate it. >> Thanks so much. >> Yep, you bet, thank you. >> All right, and thank you everybody for watching. This is Dave Valante for theCUBE. We'll see you next time. (bumper music)

>> from our studios in the heart of Silicon Valley, Palo Alto, California. It is a cute conversation. >> Everyone. Welcome to this Special Cube conversation here at the Palo Alto Cube Studios. I'm John for a host of Cuba here. Moritz man is the head of the product management team at Open Systems A G. Great to see you again. Thanks for coming in. >> Hey, John. Thanks for having me. >> So last time we spoke, you had your event in Las Vegas. You guys are launching. You have a new headquarters here in Silicon Valley. Opened up this past spring. Congratulations. Thank you. >> Yeah, it's a great, great venue to start, and we set foot on the Silicon Valley ground. So to make our way to >> I know you've been super busy with the new building and rolling out, expanding heavily here in the Valley. But you guys were in the hottest area that we're covering Security Cloud security on premise, security. The combination of both has been the number one conversation pretty much in the cloud world right now. Honestly, besides a normal cloud, native cloud I t hybrid versus multi cloud out. See, that continues to be the discussion I think there's no more debate around multi cloud in hybrid public clouds. Great people gonna still keep their enterprises. But the security equation still is changing this new requirements. What's the latest that you guys are seeing with respect to security? >> Yeah. So, John, what we see is actually that cloud adoption had happens at different speeds. So you have usually the infrastructure of the service. Adoption would happens in a quite controlled way because there's a lift in shift. Do you have your old data center? You you take it and you transferred into azure I W S O G C P. But then there's also uncontrolled at option, which is in the SAS space. And I think this is where a lot off data risk occur, especially the wake off GDP are on where we see that this adoption happens. Maurin a sometimes control, but sometimes in a very uncontrolled way, >> explain that the uncontrolled and controlled expansion of of how security and multi cloud and cloud is going because this interesting control means this this plan's to do stuff uncontrolled means it's just by other forces explain uncontrolled versus controls >> eso controlled specifically means the IittIe team takes as a project plan and aches servers and workloads and moves them in a controlled fashion or in a dedicated project to the cloud. But what happened in the business world of business I t is actually did use those share content at any time with any device at any at any time and in all locations. So this is called the Mobile Enterprise on the Cloud First Enterprise. So it means that the classical security perimeter and the controls in that are my past, actually, by the path of least resistance or the shortest path >> available. And this is the classic case. People use Dropbox with some, you know, personal things. They're at home, they're at work, a p I based software. That's what you're getting at the >> and the issue of this is that that the data that has bean, like contained an pera meters where, you know, as it Caesar, where your data is. This has bean deployed too many edge devices, too many mobile devices, and it's get it gets shared, a nun controlled way. >> We'll get a couple talk tracks would like to drill down on that, because I think this is the trend. We're seeing a pea eye's dominant. The perimeter on the infrastructure has gone away. It's only getting bigger and larger. You got I, O. T and T Edge just and the networks are controlled and also owned by different people. So the packets of moving on it that's crazy so that that's the reality. First, talk track is the security challenge. What is the security challenge? How does a customer figure out what to do from an architectural standpoint when they're dealing with hybrid and multi cloud? So first of >> all, um, customers or BC enterprises try need to re think their infrastructure infrastructure centric view off the architecture's. So the architecture that had been built around data send us needs to become hybrid and multi cloud aware. So that means they need to define a new way off a perimeter, which is in cloud but also in the covering. Still the old, so to say, legacy hyper data center set up, which has the data still in the old data center and at the same time, they need to open up and become the cloud themselves, so to say, and but still draw a perimeter around their data and they users and not and their applications and not so much anymore around the physical infrastructure. >> So taking, changing their view of what a security product is, Is that really what you're getting at? >> Yeah, So the issues with the product point solution was that they fixed a certain part off off a tactile issue. So if you take a firewall in itself, firewall back then it was like a entry door to a big building, and you could could decide who comes out goes in. Now. If the the kind of the walls of the building are vanishing or arm or more FIC, you need to come over the more integrated concept. So having these stacked appliance and stacked security solutions trying to work together and chain them doesn't work anymore. So we think and we see that, >> Why is that? Why doesn't it work? Because in >> the end, it's it's it's hardly two to operate them. Each of those points solutions have their own end off life. They have their own life cycle. They have their own AP eyes. They have their own TCO, as all that needs to be covered. And then there's the human aspect where you have the knowledge pools around >> those technologies. So as an enterprise you have to content to continuously keep the very scar security experts to maintain content continues the depreciating assets running right, >> and they're also in it. We weren't built for tying into a holistic kind of platform. >> Yeah, What we see is that that enterprises now realize we have data centers and it's not accepted reality that you can abstracted with the cloud. So you have You don't own your own servers and buildings anymore. So you have a PAX model to subscribe to Cloud Service is and we think that this has to happen to security to so shift from cap ex to our pecs and the same way also for operational matters >> securities. The service is a crepe is a small I want to ask you on that front you mentioned mobile users. How do you secure the mobile uses when they use cloud collaboration? Because this is really what uses expect, and they want How do you secure it? >> So be secured by by actually monitoring the data where it actually gravitates, and this is usually in the cloud. So we enforce the data that is in transit through, ah, proxies and gators towards the cloud from the endpoint devices, but also then looking by AP eyes in the cloud themselves to look for threats, data leakage and also sandbox. Certain activities that happened. There >> are the next talk talk I want to get into is the expansion to hybrid and multi cloud so that you guys do from a product standpoint, solution for your customers. But in general, this is in the industry conversation as well. How how do you look at this from a software standpoint? Because, you know, we've heard Pat Gelsinger of'em were talking about somewhere to find Data Center S d n. Everything's now software based. You talk about the premiere goes away. You guys were kind of bring up a different approaches. A software perimeter? Yeah, what is the challenge for expanding to multi cloud and hybrid cloud? >> So So the challenge for enterprise and customers we talked to is that they have to run their old business. Gardner once called it by motile business, and it's still adopting not one cloud, but we see in our surveys. And this is also what market research confirms is that customers end up with 2 to 3 loud vendors. So there were will be one or two platforms that will be the primary to their major majority of applications and data gravity. But they will end up and become much more flexible with have running AWS, the old Davis Center. But it was the G, C, P and Azure, or Ali Baba glowed even side by side, right tow cover the different speeds at what their own and the price runs. And >> so I gotta ask you about Cloud Needed was one of the things that you're bringing up that just jumps in my head. And when I got to ask, because this is what I see is a potential challenge. It might be a current challenges when you have kubernetes growing such a rapid rate. You see the level of service is coming online much higher rate. So okay, people, mobile users, they're using the drop boxes, the boxes and using all these FBI service's. But that's just those wraps. As a hundreds and thousands of micro service is being stood up and Tauron down in there, you guys are taking, I think, an approach of putting a perimeter software premieres around these kinds of things, but they get turned on enough. How do you know what's clean? It's all done automatically, so this is becoming a challenge. So is this what you guys mean when you say software perimeter that you guys could just put security around things at any time? Is that explain this? >> Yeah, So? So if you talk about the service match so really mashing cloudy but native functions, I think it's still in the face where it's, I would say, chaos chaotic when you have specific projects that are being ramped up them down. So we draw a perimeter in that specific contact. So let's say you have You're ramping up a lot off cloud a function AWS. We can build a pyramid around this kind off containment and look especially for threats in the activity locks off. The different component is containers, but from from a design perspective, this needs to be, uh, we need to think off the future because if you look at Mike soft on AWS strategy, those containers will eventually move Also back to the edge. Eso were in preparing that to support those models also cover. Bring these functions closer back again to the edge on We call that not any longer the when, ej but it will become a cloud at at actually. So it's not an extension of the land that comes to the data. It's actually the data and the applications coming back to the user and much closer. >> Yeah. I mean, in that case, you could define the on premises environment has an edge, big edge, because this is all about moving, were close and data around. This is what the new normal is. Yeah, So okay, I gotta ask the next question, which is okay, If that's true, that means that kubernetes becomes a critical part of all this. And containers. How do you guys play with that at all? >> So we play with us by by actually looking at data coming from that at the moment. We're looking at this from a from a data transit perspective. We But we will further Maur integrate into their eighties AP eyes and actually become part off the C I C D. Process that building then actually big become a security function in approval and rolling out a cannery to certain service mesh. And we can say, Well, this is safe for this is unsafe This is, I think, the eventual goal to get there. But But for now, it's It's really about tracking the locks of each of those containers and actually having a parent her and segmentation around this service mash cloud. So to say, >> I think you guys got a good thing going on when you talk about this new concept that's of softer to find perimeter. You can almost map that to anything you get. Really think everything has its own little perimeter workload. Could be moving around still in these three secure. So I gotta ask on the next talk Trek is this leads into hybrid cloud. This is the hottest topic. Hybrid cloud to me is the same as multi cloud. Just kind of get together a little bit different. But hybrid cloud means you're operating both on premises and in the cloud. This is becoming a channel most si si SOS Chief admission Security officers. I don't want to fork their teams and have multiple people coding different stacks. They don't want the vendor lock in, and so you're seeing a lot of people pulling back on premises building their own stacks, deploying in the cloud and having a seamless operation. What is your definition of hybrid? Where do you see hybrid going? And how important is it? Have a hybrid strategy. >> So I think the key successfactors of a hybrid strategy is that standards standardization is a big topic. So we think that a service platform that to secure that like the SD when secure service platform rebuilt, needs to be standardized on operational level, but also from a baseline security and detection level. And this means that if you run and create your own work, those on Prem you need to have the same security and standard security and deployment standard for the clout and have the seamless security primary perimeter and level off security no matter where these these deployments are. And the second factor of this is actually how do you ensure a secure data transfer between those different workloads? And this is where S T win comes into play, which acts as a fabric together with when backbone, where we connect all those pieces together in a secure fashion >> where it's great to have you on the Q and sharing your insight on the industry. Let's get into your company. Open systems. You guys provide an integrated solution for Dev Ops and Secure Service and Security Platform. Take a minute to talk about the innovations that you guys were doing because you guys talk a lot about Casby. Talk a lot about integrated esti when but first define what Casby is for. The audience doesn't know what Casby is. C. A S B. It's kicked around all of the security conscious of your new to security. It's an acronym that you should pay attention to so defined casby and talk about your solution. >> Eso casby isn't theory. Aviation means cloud access security we broker. So it's actually becoming this centralized orchestrator that that allows and defines access based on a trust level. So saying, um, first of all, it's between networks saying I have a mobile workforce accessing SAS or I s applications. Can't be it in the middle to provide security and visibility about Where's my data moving? Where's married? Where do I have exposure off off GDP, our compliance or P C. I or he power risks And where is it exposed to, Which is a big deal on it's kind of the lowest level to start with, But then it goes further by. You can use the Casby to actually pull in data that that is about I s were close to toe identified data that's being addressed and stored. So are there any incidentally, a shared data artifacts that are actually critical to the business? And are they shared with extra resource is and then going one step further, where we then have a complete zero trust access model where we say we know exactly who can talkto which application at any time on give access to. But as everything this needs to be is in embedded in an evolution >> and the benefit ultimately goes to the SAS applications toe, have security built in. >> That's the first thing that you need to tackle. Nowadays, it's get your sass, cloud security or policy enforced on, but without disrupting service on business on to actually empower business and not to block and keep out the business >> can make us the classic application developer challenge, which is? They love to co they love the build applications, and what cloud did with Dev Ops was abstracted away the infrastructure so that they didn't have to do all this configuration. Sister. Right? APs You guys air enabling that for security? >> Exactly. Yeah. So coming back to this multi protein product cloud would, which is not keeping up anymore with the current reality and needs of a business. So we took the approach and compared death ops with a great service platform. So we have engineers building the platform. That's Integrated Security Service Platform, which promotes Esti Wen managed Detection response and Caspi Service is in one on the one platform which is tightly integrated. But in the in the customer focus that we provide them on or Pecs model, which is pretty, very predictable, very transparent in their security posture. Make that a scalable platform to operate and expand their business on. >> And that's great. Congratulations. I wanna go back for the final point here to round up the interview for the I T. Folks watching or, um, folks who have to implement multi cloud and hybrid cloud they're sitting there could be a cloud architect that could be an I T. Operations or 90 pro. They think multi cloud this in hybrid club. This is the environment. They have to get their arms around. How? What >> should they >> be thinking about? Around multi cloud and hybrid cloud. What is it, really? What's the reality now? What >> should they be considering for evaluation? What are some of the key things that that should be on their mind when they're dealing with hybrid cloud and all the opportunity around it? >> So I think they're they're like, four key pieces. Oneness. Um, they think they still have to start to think strategic. So what? It's a platform and a partner That helps them to plan ahead for the next 3 to 5 years in a way that they can really focus on what their business needs are. This is the scalability aspect. Secondly, it's a do. We have a network on security, our architecture that allows me to grow confidently and go down different venues to to actually adopt multi clouds without worrying about the security implication behind it. Too much, uh, and to implement it. And third is have this baseline and have this standardized security posture around wherever the data is moving, being at Mobil's being it SAS or being on Prem and in clouds workloads, the fourth pieces again, reading, thinking off where did you spend most of my time? Where do I create? Create value by by defining this framework so it really can create a benefit and value for the enterprise? Because if you do it not right your not right. You will have a way. You will end up with a an architecture that will break the business and not accelerated. >> Or it's made head of product that open systems here inside the Cube studios. Um, great job. Must love your job. You got the keys. A lot of pressure. Security being a product. Head of product for security companies. A lot of pressure before we wrap up. Just give a quick plug for the company. You guys hiring you have a new office space here in Redwood City. Looks beautiful. Give a quick shared play for the company. >> Yeah. So open systems the great company to work with. We're expanding in the U. S. On also, Amy, uh, with all the work force. So we're hiring. So go on our website. We have a lot off open positions, exciting challenges in a growth or into workspace. Andi. Yeah. As you said, security at the moment, it's one of the hottest areas to be in, especially with all the fundamental changes happening in the enterprise and architecture. I d landscape. So yeah, >> and clouds securing specifically. Not just in point. The normal stuff that people used to classify as hot as hot as Hades could be right now. But thanks for coming on. Strong insights. I'm jumping with Cuba here in Palo Alto with more Morris Man is the head of product management for open systems. Thanks for watching.