(upbeat music) (upbeat music) (upbeat music) >> Welcome back to Las Vegas. Lisa Martin here, with Dave Vellante. We are covering day two of our coverage of Snowflake Summit '22. of Snowflake Summit '22. It's been a cannon of content coming your way, the last couple of days. We love talking with customers, with partners. We've got a partner on the program from ThoughtSpot. We're going to be diving into digital transformation with self-service analytics for the modern data stack. Please welcome Kuntal Vahalia, SVP of Channel and Alliances at ThoughtSpot. Welcome Kuntal. >> Thank you, Lisa. Dave, thank you for having us. >> Dave: Good to see you. >> Talk to the audience a little bit about ThoughtSpot. Give 'em an overview, and then de dive into the partnership with Snowflake. >> Yeah, absolutely. So ThoughtSpot is the, what we call live analytics, for the modern data stack, right? We want to be the experience layer for all the data that's getting modernized and moving into the cloud, right? And then specifically to Snowflake, we, of course, we have seen over the last two days here Snowflake has made tremendous innovations where they've accelerated a customer's journey into the cloud, especially the data cloud. Our job is to go really unlock that data, right? Generate that value, make it consumable at the at the experience level layer, right? So what we want to do here with Snowflake is here with Snowflake is make analytics self service for the end users, for the end users, on top of the Snowflake data cloud, right? And we want to empower everyone to create, consume, and operationalize data driven insights. We think if the end users can gender their own insights through live analytics, we could do have a completely different operating model for a business, right? And I think we can do that in accelerated fashion on, sitting on top of Snowflake data cloud. >> End users? Lines of business? >> It's line of business users, so we directly go to end users. That's one of our differentiation, not just IT, not just IT, but as end users as well, so we could be all things to all enterprise, to all enterprise, across our line of businesses. >> So what kind of impact are you seeing with your customers? You know, ones that are leaning into ThoughtSpot and Snowflake and sort of rethinking their data approach? >> Yeah. I mean the impact could be immense, right? As I said, this is not just about analytics. If we are successful in empowering end users, it completely changes the velocity of the business. We are now driving innovation at every node, at every layer in the organization. Not just IT, not just smaller segments in the organization, we are doing this anywhere, in any pocket, right? So I think the impact could be massive, if we do this right. And I think we are starting to see that, we have a lot of customers here actually, joint customers, Capital One, Canadian Tires, Walmart, they're all joint customers, where we have seen starting to see some of those impacts, where we have data getting modernized, the stack being ready, and then we're coming in at the top as the experience layer, which is driving that new digital operating model. >> Describe the maturity curve when you go, you mentioned some of the the the leaders, I mean, take a Walmart. I mean, they kind of invented the whole, you know, beer and diapers thing, right? So obviously a company with tremendous resources and and and advanced technology. Compare. Compare. So some of those leaders with sort of the other end of the spectrum, when you come into a company and you see, okay, here's, okay, here's, what does that spectrum look like? And and what's the upside for the, I don't want to call 'em laggards, but I'll call 'em laggards. >> Yeah, yeah, absolutely. I mean, this, this, I think we are still early on. I mean, as this is not just a exercise in getting the data ready, this is also an exercise in in change management, because now, as I said, we are going beyond IT. We are going to line of business users as well, so a lot of change management required, and we have seen companies that are actually putting this in front of the frontline workers, empowering frontline workers to consume analytics and to drive self-service via search and AI, and AI, they're on a different curve. They are actually being competitive in the market. That's an advantage for them, right? >> Right. >> So we are seeing a lot of companies, like Walmart, already ahead in that journey with us still early days, right? We got to go, land in one line of business, go from there to other line of business till we go enterprise wide. >> Can you, it sounds like you might be a facilitator of connecting heads of business with the IT and the tech folks at ThoughtSpot. >> Absolutely. I mean, that is the Holy Grail. How do we get IT And line of business work frictionless, where everyone has their roles defined, right? And still get to the outcome where innovation is happening now with IT on the data cloud and then go beyond IT into the broader business? So yeah, I think that's definitely one of the our goals and outcomes of what we do. >> So what are the roles there? So the business obviously wants to do more business. Okay. They put analytics in their hands and it helps them get there. What role does IT play? Making sure that those services are available? Are they a service provider? Is it more of a governance and compliance thing? >> Yeah, I mean, step number one is still to get the data ready and I think IT still owns the key to that kingdom, especially around governance, security, so I think IT still has to get the data stack ready, right? Step number two is for IT to really build a framework for how to consume analytics for how to consume analytics for the end users. Step number three then is, is the rule is, Hey, we don't need IT to now deliver dashboards or KPIs to the business every day that that's how traditional dashboards work. In our world, once IT does step number one and step number two the business can take over and they can now go operate the business on their own using live analytics. >> Creating self-serve >> Absolutely. Self-service analytics using service in AI. >> What have you seen, in terms of from the IT folks perspective, we talked about change management a minute ago, It's very challenging to do, but these days every company has to be a data company. >> Kuntal: Yeah. >> They don't have a choice. >> Yeah. >> What are you seeing from a change management perspective within the IT function across your customers and then be willing to let go in some cases? and then be willing to let go in some cases? >> Actually, >> Actually, what we have seen is, you know, think about the the technical debt that IT is owning over the last few years, it's just increasing, right? IT is looking for ways to A. cut cost, to A. cut cost, B. deliver more B. deliver more with probably the same amount of resources they have, so in some ways they welcome this new operating model, as long as they can keep the governance, they can keep the security, they can keep the framework around how business is run, as long as IT has a say in that, they're more than welcome to invite business, to really drive innovation at the edges through self-service analytics, so what we found is IT is a is a welcome partner, in this journey, especially when they have to get the data ready and modernize the data set for us. >> You guys announcing a partnership with Matillion this week, what? Tell us what that's all about. The one earlier. >> We did. So we did announce a partnership, so I think, as I said, step number one is getting the data ready, and I think we have heard from Frank and the rest of this team this week, even Snowflake is taking a best of breed approach on the data stack, right? So we want the computer So we want the computer and the storage to be ready, but for that, the data pipeline has to be ready, which is where Matillion comes in with the low code, no code approach, so we think between Matillion, Snowflake, and ThoughtSpot, we could be the accelerated best of breed approach for customers to realize value and and be live on the, on the modern data stack. >> Is that your, is that your stack? >> As we said, we, we meet the customers where they are, but we think this is accelerated path. >> What are the advantages of, you know, what are you optimizing on in that stack? in that stack? >> First with Matillion, we have, what we concept, we have this concept of Spot Apps, so this is ThoughtSpot's way to really capture the IP and the templates for customers to move fast, right? That's where we bake in a lot of the industry IP, a lot of functional IP around end sources, and and endpoints, so we have some of those spot apps built with Matillion, built with Matillion, so now customers able to ingest data into the so now customers able to ingest data into the into the cloud faster using Matillion, right? So that's, that's something we worked with, same thing with Snowflake, you know, we are now starting to go verticalize with Snowflake, So we are starting to build a lot of IP around financial services, healthcare and whatnot, which is where I think we are, again, accelerating customer's path on the modern data stack, all the way to the experience layer. >> A as a partner of Snowflake's, what does all the narrative around the data cloud, we've been talking about that for a while, a lot of conversation around the data cloud the last couple of days, where do partners fit into that overall narrative? >> Yeah, I think multiple places, right? First thing, First thing, First thing, every layer of the data cloud still needs innovation, still needs partners, and every partner adds a different set of value. Just like we add value at the, at the top layer, which is the experience layer, But I think, you know, we have channel partners we have a lot of SIs and GSIs here, and GSIs here, especially once we take a best of breed approach, to delivering customer outcomes, SIs are the neutral ground. They're the ones who are going to have the Matillion expertise, and the Snowflake expertise, and thoughts for expertise, all baked into one DNA practice, data analytics practice, so I think at every layer, partners have a role to play and every layer partners have role, have value to add. have value to add. >> What's the engagement process like for customers when you you're talking about the the the the three way partnership Matillion, Matillion, ThoughtSpot, and stuff like, how do customers get involved, what's your go to market look like? >> Right. I mean, obviously, I mean, we, we, we are humble, we know where we are. I mean, we, a little bit smaller than, than Snowflake Snowflake has a head start, so they've been about five years ahead of us, so we are largely targeting customers that are that are Snowflake ready, where there is some semblance of data cloud, where data seems to be organized and ready to go, right? so once we think the customer is at that point in the journey, we have very strong partnership across both, across entire organization, at a product level, at a field engagement level, and our field teams really understand the value the joint value between the two organizations, so we, we start to see Snowflake feel, and ThoughtSpot feel, starting to work together on key accounts, once we think the data is ready, and wherever we need to accelerate the data, that's where we bring in Matillion as well, to ingest more data into, into the data cloud, but that's largely been the engagement model between the three companies. >> How do you see the announcements that they made around applications affecting what you guys are doing and your ecosystem? >> Yeah, I mean, I think that's a validation. I think to us, I think to us, we always said step number one is to modernize the data, move into the cloud. That's step number one, but we still have to unlock the data. Like the data still needs to be consumed, And we always said, Hey, we are that app that could drive the consumption of data, but now with some of the announcement we have seen, I think the validation is there saying, "Hey, yes." There, even Snowflake is ready to move in a more accelerated fashion into the application world where they want to drive consumption, not just with the analytics layer, but with lot of other applications that's out there. >> Yeah. >> What are some of the things that you've heard this week, in the last couple of days, that really validate that really validate the the partnership with Snowflake, from your perspective? >> Yeah. I mean, I think the first thing is, is this concept of modern data stack, which is best of breed. I think we have been thinking about that for a long time, for the last year or so. We have seen this come through at this event here, right? We see Matillion, Snowflake, and then the SIs around it, all coming together, so I think to us, that's the biggest validation that the modern data stack is the right approach, especially best of breed, to drive the right customer outcomes, so to me, that's big. Second is this concept of really accelerating applications on top of the data cloud. I think that's, again a validation of what we've been trying to do over the last few years, which is, the data has modernized, let's now drive consumption and adoption of that data, so I think those are the two big take areas. >> So, so the modern data stack, to get to the modern data stack, you got to do some work. >> Yep. >> But so the, the play is to hold out the carrot, which you just kind of just did, 'cause once you get there, then you can really start to hit the steep part of the S-curve, right? >> That's right. >> What, what are the, what would you say are are the sort of prerequisites that customers need to think about to really jump on that modern data stack curve? >> Um, I think they they got to first have a vision around the outcomes, what outcomes we are driving. I think it's one thing to say, "Hey, we just going to move the data over from from legacy into the cloud." I mean, that's just, that's just migration, that doesn't drive the outcomes. To us, what makes sense is, let's start with the right outcomes around supply chain, around retail, around e-commerce, let's name it, right? I think, it starts there. From there on, let's figure out, what do we need? What's what, what technologies do we need in the stack to enable those outcomes, right? It could be ThoughtSpot at the top, it could be something else at the top, and same thing, it's Matillion, and Snowflake, right? But it really starts with what outcomes we going to drive in what industry and what KPIs are important for our customers. >> What's next for ThoughtSpot and Snowflake? I was just looking at the notes here. Over 250 plus joint customers, you mentioned some Disney+, Capital One, I've seen them around here. What's next for these two powerhouses? >> Well, I think we're just getting started, to be honest. I mean those 250 customers, first, we got to go drive success for them. I mean, we are a 10 year old company with a two year runway because we transferred our business transformed our business to cloud, less than two years ago, so this 250 joint logos are actually all happened in the last two years and that's driven us to be in the, probably in the top five adoption drivers for Snowflake, all in the last two years, So goal number one is to really, let's go drive customer success for these joint logos. Second, let's go expand them, right? Consumption is the key criteria, both for Snowflake, as well as ThoughtSpot. We are very well aligned, our pricing models aligned there, our incentives aligned there, We really want customers to go adopt and consume the stack, and then of course, really, we want to go verticalize ourselves, start speaking the language of the customers, and really just get bigger. I mean, we still got to build a machine around this. >> Lisa: Yep. >> Lisa, this is, this is all still early days for us. >> Early innings. A lot of, but a ton of potential. The, the field is ripe. >> The field is right open. I think in, and we will, I think we are, bottom of the third or bottom of the second, I think you still have a long game to play, right? >> Well good. Most people always use bottom the first. I'm glad to hear it's really bottom of the second or third. That's pretty good. >> Yeah, well, 250 logos are there. >> Lisa: Yeah. >> And it's further along 'cause of the, the I don't want to say it like this, but I'm going to say it anyway. The failure of the big data movement, it pushed us along quite, quite a ways, in terms of thinking, putting data at the core, the technology kind of failed us, you know and the, and the, you know and the, and the, the centralization of the architectures, the centralization of the architectures, it failed us, But then the cloud came along. >> That's right. >> We learned a lot and now, you know, technology's advanced I think people's thinking is advanced and they realize increasingly the importance of data >> And ecosystem is coming. I mean, I think you look around here, this is a secret sauce for the future. >> Dave: Yep. This is what's going to really get us moving faster over the next few innings because now the rest of the ecosystem is coming along. >> Yep. The momentum is here. That flywheel is moving. >> That's right. >> Definitely. Kuntal, thank you very much for joining David and me on the program talking about >> Kuntal: Lisa, Dave, thank you so much for your time. >> what ThoughtSpot's all about, what you're up to, a lot of momentum. We wish you the best of luck as you progress into those later innings. >> Thank you >> For Dave Vellante. I'm Lisa Martin. You're watching theCube. We are live in Las Vegas at Snowflake Summit '22. Dave and I are going to be right back with our next guest, so stick around. (mellow techno music) (mellow techno music) (mellow techno music) (mellow techno music)

and we're here with sicky junta and psyche is with CSC she's uh she's an entrepreneur she's a cloud expert she's a technologist a businessperson her official title is global vice president of cloud computing and cloud services at CSC welcome thank you it's good to see good to see you here and we're very excited to be at sapphire this is day 3 of course we're gonna talk cloud with the woods with sicky so so why don't we start off sick you tell us you know what is what is cloud all about is that is it living up to the hype I personally believe that cloud it is the way of the future we don't have enough trees and data centers for the generation that we are breathing you know the generation that we are breathing produce a tremendous amount of these data by the minute us digital data texting data voice data and all this data has to be Monte so the cloud it is the future to go and it's actually changed in the last three years I've been working loud for quite a while the dynamics of the last 12 months people have gone from being educational I want to know and we have to spell MC sounds like cloud and and then you say to them now their projects they have money they have value added in Rio the termination in that cloud project how was it changing good business Missy SC is a very well-known you know broad-based service provider outsourcing and so far how is the cloud changing your business it is very interesting because it's kind of transforming the business of cici's it transformed the way that we interact with our customers and prospects we use a lot of digital new yahoo the way we approach to our custom is very different we do pilots in our cloud the business model is changing we run we don't take hasit and people like it outsourcing deal we just run it for my fabric or we deliver cloud fabric at the customer data centers and we managers or we can say to them will give you the cloud fabric and you are like an Amazon you can manage it yourselves and we just keep the fabric well we'll provide the provisioning we provide your constructions and you are your own service provider is it very different than what she does to the top reason folks talk to you about you get a lot of clouds going on building clouds and you've been in technology preneur in the past sold your companies but you're at CC big brands are coming to you what is the number one thing you're seeing the pattern of the customer requests and or the new customers I think the customers they're really serious about cloud want agility version Assad Julia um I T delivery time to deliver a off even six weeks three months that is traditional it is not possible today customers wants to build application and modern weeks instead of months the new platforms like force calm and a zoo or do you have spring source vm having google apps they actually have this very beautiful object-oriented way for you to write application we're very very fast and so that requires a delivery mechanisms that can sustain that more I think that they want to build brand new applications so they can stay with them for the next 20 years and and we're waiting to us come on this morning we're talking on prior you said the cloud is a user experience I think that's really profound can you expand on that that was pretty compelling I think people look at the cloud as is odd this tech I and big iron in there but you talk about what you mean by the cloud is a user experience so I there are two type of Christ there is the consumer clouds that's the cloud that we do every your typing on the cloud and we have facebook and twitter and all this i play Angry Birds that's a gaming it's a big cloud that's any user experience of the cloud so if you leave in your cloud and use your spirits and then you go away you just say why do I have to win six weeks when I can play you know I can play final fantasy in real time with people in Hong Kong that's really the experience of the castle and enterprise is not there yet and there has two issues first of all the technology really was not they are still provide that the applications like sa peas and and the evolution of the systems second the processes are going internal IT are really very rigid sometimes you have to go fill up in requesting gotta get all this approval and has to be seen by 25 people on business model and all that so we have the challenge of accelerating a business classes and providing the same end user experience there and that's why it's CSC we have pilots in our plans we say to customer currents bosses and you know use our portal our provisioning environments upload workloads start to understand what does it mean interacting with about you know try it out there like in a mixed thing you know they got us growing you know puppy and then there they're stuck with the animal the cloud that's yeah I do never compare Jonna come up with a lot of those in the next half hour secure your company is technology agnostic of anyways right you know the real you get wed to a particular technology or services company so you have to be a trusted advisor to use clients on we're here at sapphire we're hearing a lot about in-memory computing and hannah we were talking a little bit about that off-camera what's your take on on this notion that sa p is putting forth they call them the ram cloud in-memory computing the Hana cloud what's your angle on that so first of all let's all understand the ROM and memory is the juice of clouds and I'll give you an analogy the cloud is like an apartment building where if the guy at the top takes a hot shower and uses all the shot that hot water the guy the bottom has no it has a cold shower and that's really the real analogy in a cloud vector if I have a very intense memory usage workload some could be SI p JD edwards and some others the other everybody in that community in that multi-tenant that's what it is multi-tenant ones we are all together feels the same problems and so memory it is deduce a cloud but that doesn't mean that because i have a lot of memory I don't have to optimize systems systems should be optimized and agile by themselves that's why a lot of refactoring a lot of building you know legacy java to a spring environment where you have encapsulation to take home see where you have object orientations and that makes you a John workers that really are optimized to use the maximum of the memory we actually going through this period right now he talks about private clouds and public laws in a hybrid clouds we've sort of in this period where we've got one foot in the legacy camp because you can't we don't a rip rip and replace and we've got another foot in this you know agile new world are you seeing a lot of sort of native new application development that's going to take advantage of these new cloud architectures new potential business processes you've seen that today and how long do you think it will take to actually see that bring true innovation to business I think that today the biggest usage of cloud are Gavin test so if the Devon test is the biggest user God that means that all the new projects are being developed to be delivered on the cloud vector and that's really very very very important today gets virtualized uses a platform but there is a big movement to refactor my applications because waiting for everything new there is only twenty percent of innovation in every large shop of IT today so there is a lot of companies that do create a roadmap for their workload and and when I talk to them I say divide you your workload part in three categories the legacy one that will never move that's the one that I in agreed environments and virtualized their heart the databases to bake the construct is not a job and the one that you want to do straight away Devon test email unified communications serum and the other things evaluate do I have to do I is it core that I have to own it and build it on or could I sauce it so to provide I system that it was already out there that it's like for sales culture of this world the NetSuite of this world workday is success factor 0 or any type of HR systems and say why do I have to own it why can't i have a SAS cloud environment where i can buy the serious doing this exercise helps them understand what its core what is not and why should I spend the money to take legacy applications to to the cloud can see it's a major changes in all layers who invited the you've got your your your device here your iPad we've hearing a lot of changes at the application layer and of course the infrastructure as well how is infrastructure changing and there's a lot of talk about convergence and there's logical blocks of infrastructure what are your thoughts there well I think that and the infrastructure layer we are actually seeing two major chain changes that are coming very fast first of all the multi-core environment 20 course is gonna beat ah here soon you're just sooner than we think and so all this memory conversation will already evaluated again because how's that memory gonna work with all this capacity our computer we have and that's that's a real conversations in and the IKE advisor that has the interaction with the fabric will need to be optimized to be able to take advantage of that storage is going through a lot of chambers multi-tier being the ability to say I don't want to maintain this for a long time understanding the retention here is it's even more critical than before because the access to the data now it's very fast and understanding the tiering and how you're going to do or not network storage what they're gonna cash what are you gonna close it creates a lot of questions when you build an application or when we refactor the applications a lot of it I think we have to realize that the systems have speed as a requirement and optimize from the end user to the art to the bear models what's the most efficient path just mentioned some real hot tech areas that we were all over I'll see the multicores and you the course the in-memory got solid state changing her essay p guys here saying summaries the new disc disc is the new tape tape is dead pretty pretty simple message there but multi core memory the hypervisor role of virtualization and the change will storage all those forces are colliding yeah when twins win some argue that that's an opportunity for redefinition of a new operating environment so to your point about optimization how do you see that revolving is that fantasy it gotta like a wish list you see new architectures developing definitely new architecture love being developed tonight's a new architecture for instance it's an optimized act architecture for mobility and to create a very pleasant user experience with all the data that sa p has because as if he has all this come on up data lock deals and so it's a new architecture you just say instead of changing the structure of the data or the app i am actually moving the interaction at the mobility level to a new device so that the experience is better in some cases used we will have to go back all the way and brought in right brand new systems that can suppose support that but I i believe the new architecture I've built all the time I think that um we haven't probably have a scene um what's the preferred what's the preferred visually for the future for this type of texture that that you're seeing and that you're driving towards mostly memory stuff immediate benefits to caching what do you see is the preferred methods that are driving right now I think that sounds looking at mobility so that that you can divide the user from the system's is very protesting because if you don't do that we actually slow down the end user experience and the end user is the productivity that we get every day second it's we have to look at business logics and can isolate the business logic so that I can can I really change it in a dynamic way in the last 10 years of 20 years we built system where we encoded everything he has to talk to this database over this IP address with that all this um hardcore stana configurations yes it's very hard in the cloud environment dynamic environment new media environment so we have to look at the system say how can I use so object orientations platforms separations logic how can i isolate the data if I have to how can I put it you know virtual data Mart's on top of it so that I can I'll cute the data because if I kind of a what Hana is was I'm sorry structure data then I cubix and then the cube gets talked to everybody and normally i know that in dededo there is eighty percent again used 20 bars are all right reverse so it's really an interaction and reactant acting from the end user best experience i want to do that facebook experience i want to give it that um gaming experience so how do i get to the data and adina you know it's probably 20 years old and it's really mainframe in monster well you're not gonna go ahead sir so when we talk to some of the vendors like for instance an emc they talk about the block at ciscos pushing UCS and it and they call it cloud ready or cloud enabled or cloud optimized i guess the term they use is that just good marketing or is it really the right model for the cloud to have that sort of single logical block of infrastructure which you're taking away well CC is a V block user we use Vblock for all our fabric cloth fabric deployment and a full hour in this cloud that is the first we have private cloud delivered on premises on the red card it's a unique value proposition no nobody has meaning you don't have to buy millions we delivered to you it's ready just provision the workload we teach you how to do it and we can do it in 10 weeks now we can only do it with a optimized block well the hard work and they're hard when storage and network and compute off very integrated and then we used EDM where I'd advisors are um has their communication macaluso we believe and I personally believe that that's today the best technology available UCS was built for cloud means project California that server was built thinking virtualization the optimization to the upper visor to the chip so that's why I think it is for CCM for our customer the best solutions it has a future-proof solution all the other architecture in the hardware have to change like HP just did a brand new set of equipment so and so I use that word future proof yeah it's like a punch like it Flashman does that expand know it's a good term it means basically you buy something and yes headroom you could it takes you into the future so just drill down on that more detail cuz that's a really important point that folks they don't want the cloud washing mentality they want to see specific so just expand on that you could so first of all um clouds there's no magic there and there is a project you say I want to take my Devon test to the cloud you have to plan it rough too tested you have to make it happen so there's no magic in cloud no pixie dust is like any other the ability to what I call future proof is what I call cloud plus far something that I can sustain in the next five years and not having to do it an architecture change or a major change I will do refreshes because the hardware is moving faster point releases add some stuff to it yeah but my architectural substantial architectural layers and everything is kind of stable for that but cloud pushes innovation to the US as a provider to our suppliers and to our end users all the time because it as a brand new paradigms so future is the roadmap that you built for yourself their customers i'm gonna say i have my roadmap I know what my clouds are gonna look in five years I know they thinks that I'm you know evaluating html5 for everything that is an end you see this vblock for the fabric I'm looking at how do i integrate cloud providers the api structures we are building a very interesting platform for cloud service programs where we will be the broker on all the cloud providers and look at the Echelon and maintain transparency so I know exactly what my cloud I'm gonna look in five years so that's when I seed with my CIS I say you don't have to do cloud the doctor doesn't say that you have to do cloud but if you do understand the business value and what's the roadmap and what's the current state to end state and the value that you want to be able to the post so CSE obviously cloud service provider and the Chinese proverb may you live in interesting times and we're in the technology business so we always live in interesting times i guess but so you have your cloud business your provisioning your own cloud you have your own data centers we see SI p announced today the Hana cloud and so but you of course a big SI p partner now you're sort of quasi competitor are you gonna build your own Hana cloud of me how does that all work you live in this age of cooperation can you talk about that a little bit but that's the beauty of cloud cloud doesn't bring competition brings integration so I'll give you another example we work very strongly with Microsoft Azure in their environment but our customer comes to CSC because they they want the full service experience and they want security and they want somebody that really looks at the architecture of what they do it expertise not just a class so we have created a federation model where no customer comes in our cloud is called cloud belt and say I want to build myself a force applications the integration to the force platform is similis to the end users we actually integrated us force platform and we'd actually run the code in the first platform but the customer said I want to now put it as my data in the public knowledge I want to get having them physical I wanted on your data center so we take care of all that in the Federation loss so we talked a lot about SCP with SI p in the last a day about hannah and they have their business on demand a platform that it is a way to write applications in situ and we asked him you know we want to run the application they plot from ourselves because I value added and then already so that's okay we will do a fixed platform like force or Google oh I absorb but we have portable platforms like spring or chorus or alarm stock and but remember well the customer fields a lock-in because they know they can only run it down beauty and and when you wrote it a nap in a strict platform you kind of just say okay I take it and I run in there he runs only there it's off two months like if you ride a force up you can write it in a matter of days I runs only there you can't just say I don't like yourself horse I'm gonna walk with my data we're going yeah you walk with you did about the Alpha stays there Thank so there is a lot of lock-in in this new their plan yet but Federation is the value on it the CSC brings we understand the de world is dynamic in nature and we will push hard on all our suppliers to say when can we have the ability for them to have portable bar codes instead of fix work that the CSC leading executive forum did some work a couple years ago that I read and it was they were talking to some CIOs those guys and they said as part of CSC very good work that they do and they said anecdotally that the discussions with CIOs this is probably 2001 9 time frame during the downturn suggested that CIOs are accelerating IT organizations are accelerating their adoption of cloud by as much as 12 to 18 months and then he went out into the Wikibon community and confirm that same thing I was really compressing that cycle and and I think it you would describe it as everybody needed the cloud it was sort of this cloud frenzy and now it's a little bit more selective one of the areas that seems to be having good uptake in flowers the federal government they seem to you know the new federal CIO is really hitting hard on cloud um is a supporter yeah and so um so what are you seeing there why is that is and how much money can you actually save with clouds that's a very good question so in the federal case since 1999 they had 400 data centers and when they lead the last census of all the data center i think was 2008 they had over a thousand data centers and so that's a huge growth everybody I want my own data centers until the garlic laptops iPads yeah that's a data center so I am so I think the government has come to the conclusion to say we all belong to the same family yes we all have our differences and security and privacy but let's trot learn how to share and I think there's a strong mandate for federal to use cloud vectors in fact CeCe's part of the data center consolidation committee where Jim Schaffer our president of public sector is a contributing member they are interesting things that we see is that actually federal for the first time turns to commercial and says good what is he working on the commercial side let's take commercial structures and architectures and apply so that we can move much much faster and reduce the cost so now comes to the cops um i dissect the cost of cloud in various sections first of all you have to virtualize and so virtualization brings in fifteen percent you're going from 700 servers to let's say 200 servers and that's a saving say he said in energy is saving now agility you you save them space and he'd never thing and that's a real hardcore cost rather cost that you have to buy new our hardware they will around and virtualized environment poverty if you take all your refresh cycle everything that's coming to be done you buy new hardware that can support that you can synchronize that as you can see what a nice day Saudi there is in the big girls then if you do infrastructure-as-a-service you got another you know 15 I mean maybe ten percent like I go to Amazon but then you hit a brick wall and that r equal is your applications and don't run on the cloud and you know you don't have any more things to cry so that's why I say to my CL we have to look at the IT Park and your eyes we have to go to the hardcore runner Montaigne IT budget today is sixty percent and evaluate how are we going to write new applications that get modernized or how can we refactor the application so that we can reduce this run and montane down to no more than fifty percent so we can use all the other 50 for your innovation and that's why it's seriously we believe we've somebody takes this portfolio approach we can commit up to forty to forty-five percent cartridge on a traditional on a traditional company which now if you are a brand new company and you really do the analysis core versus non core and you go this route you actually can reduce your cost a lot when I was a CIO I add a data set I see the data center and I said I don't want to run datacenters I just builds after I don't have to have a data center the last person that was holding up was my CFO and he says oh I like my sister now I ever say well six months you are not sweet otherwise you are met and and now is the number one that sweets speaker for public company of using cell system so it is a culture that's a great I mean it's great movement right now cloud there's a SiliconANGLE TV the worldwide leader and online tech coverage this is the cube this is where we talk about all the great stories and content with Suki Kunta great conversation here at SiliconANGLE dot TV question on the service is angle Dave and I have been talking for weeks now about how the services business changing both the services of delivery consulting integration which you mentioned that's where cloud is not about competition bout integration and also the services that can be offered on the cloud so how was the the services business changing the value chain of the architecture to the wind services that are being delivered we call that services angle mean what's your angle on the services business is changing into in two ways one it becomes more strategic so all this road mapping and understanding of the asset portfolio and why do you want to be on three years and what's the type of IT leader you want to be for your organization so it's moving upwards and then actually is becoming very very technical people the really most virtualization optimization infrastructure and can really what i call the youngsters the guys that can really write apps very fast the young Dae young coders know what we are crap that really don't want to spend the times on you know I'll ride this big proposal he's there and I'll show you and that's when i interviewed it for CSC the kid in five minutes his own is the ipod alive stop on top here I know that he lives the cloud everyday leavin this is really the new people that I say we have to look for but there is a big difference the culture change the consultant with the tie and phil italia proceeds one in two and three so the kids say give me two hours and i give it back to you yeah it's a huge there's conflict back in the 90s remember that that's the consultant suit they're making a lot of money project management huge schedules kind of slow now it's like you got these gunslinger coders who can whip up apps deploy it on the cloud in a couple days in a day and set change very used to start with a word document to powerpoint and now they're starting with you know code well know if they're the most used tool is a mind map for a project instead of a bullet and and I think that's when you start come in a conversation with a customer you follow the threads of where he wants to be and then the end you end up with a map or what it needs to be done but it is a different culture and the beauty of having the traditional thing though is is that you can have you can actually provide structure to discredit creativity so the end result is a quality because you know cowboy is intact it's cowboying intact and I you don't want to have that especially with our customers where we get them and can't we have small and large I mean I have olympic system a small bite active coupons so that that's my spectrum but quality is the most important thing nothing so we have to put quality within relationships we're here with the