(techno music) >> Welcome back to the Cube. I'm John Walls. We continue our coverage here at AWS reInvent 22. We're in the Venetian in Las Vegas, wrapping up our day one coverage here in the executive summit sponsored by Accenture and with me to talk about Accenture, couple of guys who are no strangers at all to the Cube. In fact, I think we got to give you like alumni passes or something. (Chris and Merim laugh) We got to come up with something like that. Um, Merim Becirovic is with us. Uh, Merim's a global IT at Accenture. And Chris Wegmann, who's already been on once today, as a matter of fact. >> Yeah (indistinct) >> So we're going to start charging you rent, Chris. (Chris and Merim laugh) Uh, global technology and practice lead with the AWS business group at Accenture. Good, glad to have you both back and, um, you're welcome to the Cube any time, by the way. >> So don't be scared. >> Thanks, great to be back. Let's talk about >> Sure. >> What, what you folks have been up to. So, um, you are, as we were talking earlier, you are where a lot of your clients would like to be. You, you've begun this transformation. You have fully migrated to the cloud, you've learned, right? >> Yes. You've hit all the bumps along the way. So talk about your journey. >> Yeah. >> And then how you think that experience could be translated to what your clients are going through. >> Yeah, so I'll, I'll hit it from the lessons learned and working together with our business group partners. We, so Accenture's journey to the cloud is complete. We have finished that journey, and as part of that journey, we have migrated all of the services it takes to run Accenture to the public cloud. So now that's done. That was complete. But now we are this, now it is this cloud continuum living in the cloud. And the, now, the thing we talk about, and I'd love to have Chris, you know, shine a little bit more, is we have built our digital core in a cloud, now. We're no longer dependent on data centers. And that has given us tremendous flexibility around how to enable the business as it has grown significantly since we started this journey a few years back. >> Yeah, you know, Merim, like you talk about, right? We talk about our client, we've talked to our clients about building this digital core, right? And, and we've been through that as Accenture, as a global IT organization, you know. Supporting well over 720,000 people. >> Yeah. >> Right? That growth over the last year has been tremendous. Right? So, without the strong digital core built on cloud, right? We couldn't do that, right? We couldn't add that number of people, right? We couldn't make the, the, the changes were needed during, uh, Covid to bring people home, working from home. You know, whether it being uh, the way we changed our business model or things like that, um, you know that was all enabled by cloud. It couldn't be done without that. And, you know, also the variable in our business, right? Is very tied now to our cloud consumption, right? So, you know, it goes up, it goes down, right? We've, you know, Merim and his team have completely built their, their their core with those, with those concepts uh, in mind. >> Yeah, I mean, you're talking about, you know, 700, 800,000 employees and how many countries did you say? >> 130 different countries, at least. >> 130 different countries. So, I mean, no small task, obviously, uh, to get everything done. When did you start? >> So our cloud journey, effectively, we started in 2015. And we were done, kind of right before Covid around 2019. We took a pause for a couple of different things but we could have probably done that faster. And if we were, if I was to do it again now, today we could probably do it in two to three years, flat. With everything that we've learned so far. >> So what's the application, then, to your clients' experiences that, I mean, been there, done that, right? >> You can, exactly right. I mean, you know, we always say that we want to be our best credential, right? And Merim and his team are our best credential in this space. Um, so, you know, a lot of our customers, you know, struggle making that commitment. A lot of 'em are past that struggle, now. They're committed, they're going. Uh, but I talk to a lot of my customers about, you know, do I, do I migrate? Do I modernize? You know, how do I do it? And, and it was interesting with Accenture, right? It, it started out very much as a migration program. >> Yeah. >> Right, so, we made the decision, Merim and his team made the decision to do a migration and now a modernization, right? And, and that's proven very effective. Uh, it, it's, it's, it's proven, you know, uh, we got that core in place, right? We were able to build off of that versus, you know, spending- it would've taken a lot more time just to start with a modernization approach. >> Yeah. Where, where do you draw the line between the two, between migration and modernization, then? Because just by migrating alone, you are modernizing, you know, some of your operations, so you're getting up to speed. But, but how do you draw that line and then how do you get people to jump over it? >> So I, I'll hit it from how our lessons learned. So, when we first started and we did the migrations it was literally lift and shift. And it was a lot of argument about lift and shift isn't worth it. But we found out it was, because it wasn't just about moving the work loads and keeping it like a data center. It was moving the work loads and then optimizing because everything in the cloud was significantly faster. So then I didn't have to consume all the services the same way I did in the data center. I can actually consume them smaller. But also as time went by, what we learned is, hey, now these services are working here. Which ones are actually costing us more money to run? And not that they were costing more than the data center, but it's relative to the cloud which ones cost more in the cloud? Then we looked at that and said, okay how do we want to modernize those? And then we modernized as container capabilities started the evolving, got much more mature. We shifted a lot of workloads to containers. But otherwise, the other principle we push very hard is big consumption of Lambda and uh, serverless capabilities on Amazon. So we have refactored multiple applications to give us that capability to say we no longer need the IAS capabilities, those servers, those VM's, and we run on, on serverless capability. And what's great about that is, now I don't have a server to patch, to scan, to remediate, to upgrade. I've moved away from that capability. And the teams can focus more on building the business capabilities the business wants. Um, like we did to our pricing team. I don't know if you knew this one, Chris, but all the pricing capability has been redone to be cloud native on, on AWS. >> And how, how do you deal with the folks that, that still kind of have a foot in the on-prem world that, um, that they're just not ready to give it up? You know, they, they like the control, they like the self-management. >> Yeah. >> They, they want to be in charge. >> Well, yeah. I mean, a lot of, a lot of our customers, it's, there's a reason why they need on-prem still. And there is on-prem, let's be clear. I mean, it, it is a hybrid cloud world for most of our, our customers, right? Whether they got manufacturing, whether they've got, you know, datas that are, you know, SCADA systems or, or operational IT systems that have to be close to their, their execution or to their, to their factories and things like that. So that's going to happen. I think everyone, and I shouldn't say everyone, but you know, most of our customers know they need to get there, right? And are somewhere on their journey, right? Very few have not started at all. Uh, but it's about acceleration, right? And I, I do think, um, we're going to see more and more acceleration. We saw it with Covid, right? >> Mm-hm. >> And then, you know, obviously I think we're going to see it again, right? With you know, kind of what's going on with the economy and stuff like that. It, it's, you know, it's a great way to push that change through. >> Right. >> And I, I'm really excited, to be honest what I'm really excited about, if I look at what Merim and his team's doing, is they're just leveraging that digital core and truly taking the investments that the hyper scaler's are making, the AWS's are making, and leveraging 'em. So we're not making that investment, right? We're a capital white company, right? So we don't like making good capital investments, right? And we're taking advantage of the capital investments. And we couldn't do that of the, of the hyper scales. We couldn't do that without being there. Right? >> Right. >> We just couldn't do it. >> And maybe, John, if I can build on that. >> Sure. >> Like, one of, one of the things for me when I think about the cloud is, I'm not alone. You know, because when you're in a data center when you're running a data center, you're kind of on an island. And on that island, if you've got security issues, if you got stuff you're dealing with with attackers, you know, you're, you're kind of on an island and you're alone. Whereas in this world, I am where all the investment is, where all the security capabilities are being built, and I have partners that are there with us that help us when these situations come up. So for me, I'm very uh, grateful that we pushed very hard in the beginning to get here. But I wouldn't have it any other way. For us. >> So like, do you- do you want to live outside the fort? >> Yeah. >> No >> No. (laughs) >> You're exactly right. >> Yeah. >> I don't want to live outside the fort. >> Right. >> There are a lot of bad guys out there right now. >> Yeah. >> All right, so, the journey is over. >> Right. You can unpack your bags and get comfortable, right? (Merim laughs) >> No. >> Hardly. >> No. >> So, so what is the, what has this done in terms of setting you up for your future plans? And, and >> So I'll talk about a couple different things and maybe you can build on it, Chris, from what you're seeing, like for us, we, we got very good at, I hate the concept of just FinOps but it's the way of being in the cloud. It's different than running a data center and uh, the way we think about building services, consuming services, allocating services, provisioning services. There's just so much more flexibility there that we can completely fine tune the service that we want to provide. That helps us from when we think about 360 degree value, as we talk to our clients, for ourselves to say it also helps just simply on the sustainability agenda, right, because now, as Amazon builds their capabilities to be more sustainable, those SKUs are available to us, we can naturally consume those SKUs much more effectively. Um, and then uh, the next thing to me, what I'm, what I'm especially excited about is all the stuff we're doing around network. So, you know, pre-Covid, 95% of our traffic was just straight to the internet because we had already finished the journey. So now what do you need a wide area network for anymore? >> Right. >> If you're not routing traffic between data centers what do you need it for? So, we have been working with, with AWS especially, like building these cloud land type capabilities and consuming it. So think of consuming, uh, network same way as you do the cloud. So I'm excited about that one. >> Yeah. That, that, I'm super excited about that, right? Because you know, network's at the core of everything you do, right? And there's always a lot of concern, hey, when I go to the cloud, my network costs are going to go up, right? Um, but I think we've proven, right? >> Yes. >> Being able, that those costs can come down, right? And we can have a better experience, uh, deal with the ebbs and flows of our business whether it's people working from home, people working in the office, you know, or at the client sites. We, we've, you know, we've got that cloud-based backbone that we support. You know, I, I mean Merim, I agree a hundred percent. I think you and your team have done a great job of cost management, cloud cost management, optimization, right? You didn't stop, right? >> No. >> You didn't lo- you didn't just live after the migration on VMs. Right? You know, you went serverless, you went, you know, containerization. >> Yep. >> Uh, and that's kept our cloud bill going down. >> Yes. >> Right. Versus going up, right? >> Yes. >> And I hear from a lot of customers concerned about cloud costs and that type of stuff, but you've proven right, >> Yes. >> That you can keep it flat, if not going down because you're using those last minutes. Sustainability is the other thing that I truly am, I, I love, right? Is, you know, we're all trying to become a more sustainable, sustainable organization. We're trying to help our clients become more sustainable organizations. And you know, you know, your ability to take on Gravitant processors, right? Which use less power. >> Yes. >> Right? Overnight, right? >> Yes. >> Or, hey, I'm using a, you know a, uh, serverless lambda, whatever, right? And I'm not running that server. >> Right. >> You know, so, you're able to show that sustainability gains, um, you know, very quickly. Which you could not do, right? You know, in just doing cloud basic migrations. >> Well, I tell you what I think is impressive, is that you put your money where your mouth is, right? >> Yep. (laughs) >> Is that, that it's, and, and if I'm going to be a client, not to, you know, give you guys a pat on the back, you don't need it. You're doing great without me. But I'd say you've been there, you've done that. And, and so I can learn from you. You understand my pain. >> Yes. >> You understand my reservations, my challenges and uh, you could be my, my headlights here. (Merim laughs) >> So, I think great approach. Kudos to you and certainly wish you both success and to your fourth and fifth appearances on the Cube. (Merim and Chris laugh) Um, we have slots tomorrow if you're arou- available. So, maybe we'll fill it up >> There you go. >> and bring it back again. >> Awesome. >> Guys, thanks for being here. >> Sure. >> It was very nice. >> Appreciate the time. >> All right. >> That's great. >> I've been talking, uh, about Accenture. This is the, of course, executive summit being sponsored by Accenture here at AWS reInvent 22. I'm John Walls. You're watching the Cube, the leader in tech coverage.

(upbeat music) >> Welcome back to Las Vegas, we're at Reinvent 22, AWS's big show going on here at the Venetian. Several thousand, tens of thousands of folks packing that exhibit four and going to sessions and also learning a lot about what's going on in the cloud space. And today we're going to talk about speed, velocity, to be specific. And with me to do that is Chris Wegmann who's the global technology and business lead for the Accenture AWS business group. And Chris is with Accenture. And then Erik Farr immediately on my right, is the global technology leader again for the AWS business group, but at AWS. So very similar titles guys, you're making it tough on the host. But glad to have you with us here. Really appreciate the time. So let's talk about velocity, you know, what's that all about? And Erik, I'll let you jump in on that. And then Chris, you go from there. How about that? >> Yeah, so with velocity, it's really about innovation. It's really about trying to speed the way that we help our customers, not just innovate through the AWS services, but with Accenture. With their ability to come in and really just kind of bring their expertise in industries and in the technology underpinnings and kind of all of the aspects of what we do together as a partnership. >> Okay. Chris? >> Yeah, so when we came up with a concept around velocity, we worked backwards from the customers the traditional Amazon way, right? So, we looked across a lot of the programs we were doing with our customers as well as we were doing internally when we were building assets to take to the market on AWS. And we found we were spending way too much time, anywhere from six to eight months just getting all the foundation in place, all the integration in place, getting the services to the point where we could actually build on top of it or our customers could build on top of it. And we got challenged. We said, there's got to be a better way, right? And so we took a different look at it. We said, can we go build an application? Can we go build code versus accelerators or our blueprints or that type of stuff that really would allow us to walk into a customer or walk into one of our internal organizations that had a an idea around an application or solution to be built on AWS to take to our customers as a service. And said can we go through just a very simple set of checklist, predefined architectures, predefined solutions and that stuff, and can we just crank it out, right? Can we, and that's what we've built. We built this tool and platform based on that concept. So it's designed and it is helping us internally as well as our customers just go that much faster and get to that innovation that Erik talked about. >> So how did it happen between the two of you? >> Yeah. >> It's not easy, right? I mean, as good as your culture is there's still going to be some bumps along the way right? And so how did that evolve? What was that process like? >> Yeah, it's a great question. So I've been working with Accenture for over five years, working with Chris and other people at Accenture. And over those years we've spent countless discussions with our customers all around the world. And just like Chris said, we see all of the different scenarios that our customers are having to deal with. We see the pain points, we try to figure out how do we get better next time? How do we do this in such a way that allows them, those customers to really kind of innovate using AWS, which is what we're all trying to get to. And during that process we started to realize there's a few key themes that we're seeing, right? Not just the foundations, right, what you build off of at the base level, but the data aspects. Like how is a customer going and developing their data lake, so their data meshes, right? How is this happening? And what we've realized is that we are kind of doing that on a custom basis often and we realize we could actually speed that much faster, faster to value, faster to customer appreciation and additional usage and development of their solutions on AWS. >> So I look at it is, from the beginning we started the business group and the reason why we have very similar names is 'cause we represent each side of the organizations that are here. And when we started the business group seven years ago, the whole idea was better together, right? We should be able to come together and help our clients move that much faster, right? And that's what really was at the foundation of this, right? And how we built this, right? We came together, we both saw the problems, right? Obviously AWS has an immense set of services, has an immense set of capabilities. We had a lot of experience of implementing these. Came together, worked together to build this platform. And it's been a great journey, right? I mean, it's great to see the experiences from both sides come together. Some of the common problems, we each had different ways of addressing them and we had to go and debate, which was the best way. And we really are leveraging our joint customers here as well is to get inputs from them since we were working backwards for them. We've now taken this and pulled them into it and really gotten inputs from them on really what they're looking for above and beyond the services they have today. This is designed not just to be something we go use at the beginning of a journey, right? A cloud journey, it's to help customers continue through their journey as well. >> So, and I might have missed this, so I apologize if I did. But we always talk about speed, right? Everybody's about faster, quicker, more efficient and that. So what makes velocity a unique animal in that respect? What exactly is it delivering then for a customer that isn't just kind of baked into the services you'd be proposing to them anyhow? >> Yeah. So first off velocity is designed with automation at the core, right? So instead of having people going in and making changes or anything like that, it's all completely code backed and automated, right? So that alone allows for immense ability for us to go in and actually accelerate that journey for the customer. But in addition to that, because velocity was all developed to work together with this code, it actually allows these pieces and these components to be deployed together, to work together and to ultimately support that customer use case without actually having to go and recreate that every time. >> Okay. And can you gimme an idea, Chris, about somebody or at least how this has been put into practice then yeah? >> So I'll give you a couple examples. One, internally, right? So as part of our relationship, we're investing in these joint industry solutions, right? So industries, we're working with our different industry clients to solve industry specific problems, right? They're not thinking about, okay, let me go lay down a cloud foundation and go do that. They said, I've got a problem I want you to fix. Insurance is a great example, the underwriting processes and insurance, right? So our insurance teams really looked and said, okay, this is what we're going to go build. This is what we need to modernize that process. So instead of going back and going and building all the components they needed, building a data lake, right? Figuring out how data lake's going to work together, build the automation to create all the different EC2 instances and all the different services, security, all that stuff. You know, we were able to very quickly take velocity, go through a very short process with them, understand what they needed and use that code to create that entire environment. And it's not tied to that once it's created, right? So at that point you can still take the updates that we're giving on new services and things like that, but it's their environment, they're able to build on top of it. And it allowed them to rapidly create this insurance platform, right, that they're now taking out into clients. We're taking that same platform we use there and embedding it in every offering, every service that we give to our customers. So whether we're going out and build a cloud foundation, right? Whether we're rebuilding a cloud foundation because hey, it didn't stay up or keep up with the new services that came out from AWS, or we're going and building a data lake, right? Our customers want to take, they don't want to have to do all that heavy lifting in a lot of cases. They don't want it to go make a lot of those hard decisions, right? They want it kind of rebuilt. And what I love about velocity from the beginning, Erik talked about blocks, building blocks, right? And we also heard from our customers is, "I don't want to buy just one thing, right? And I have one size fits all. Hey, I'm really want something around data. Can you gimme that block? I really need something around compliance. Can you gimme that block?" Good example in Accenture, the compliance portion is an area that our internal organization really wanted. So we were able to give them that block. So we're hopeful that this just gives our clients that much more flexibility and move that much faster. >> So, go ahead EriK. >> Yeah, I was going to say I think to to the point too, the other aspect that we get with velocity is the idea and that the vision is that it's designed to be evergreen. And what that means is as AWS, as we release new services to the market, like we're doing this week right? We as the joint development group of velocity are taking those new services, those new features and updating them so that those functionalities are available to our customers that are already using velocity or that are going to use velocity into the future so that they're all taking advantage of it without having to go and do it into their own environments. >> That's what I was asking you about, about if there's a 2.0 down the road or I mean, how do you meet those growing needs and new capabilities that maybe don't exist now but they will a year from now, six months from now? Yeah so, what's on the drawing board right now? >> Yeah, so yeah, just I'll start. The one area that we're really looking at heavily, so the the velocity fabric is really just the underpinning technology that we've already been talking about. We've also got a set of activators, which is really the fact that we're kind of joint deploying this to our customers. But to answer your question, we have a concept of accelerators. So these accelerators are there to be developed over time and they're going to allow us to take those customer use cases that are typically kind of at a microservice level, right? Something smaller than an entire solution or an entire application. And use those to accelerate either the development of solutions into our customer environment or to accelerate our ability to create solutions to then take it out to our customers. So that's on the roadmap for '23 and beyond. >> So I'll build on what Erik was talking a little bit. A 2.0 is actually today, right? Multiple new services came out today, obviously through the site partnership, we had some insights on what's coming, right? And we could start building to those and start knowing customers are going to want to use those. And the idea of velocity is they don't have to go and figure that out themselves, right? So we'll be able to hand that off fairly shortly after those services are released to general availability. And the customers of Velocity will be able to start using 'em, right? And they don't have to go figure out how to integrate 'em and so on. So that's what's in the future. We'll continue to do that, right? We're committed to this. These industry solutions are going to grow, right? I mean that was one of the big reasons we built this. We knew we were going to be building a lot of these industry solutions. We already got several of 'em that are out in the market and we need this platform to do that. So you'll see a lot of velocity powered industry solutions coming out of Accenture. >> Who came up with the name? >> It's a great question. We wanted something around speed, right? 'Cause that's what it, further, faster. >> BLO did it, right? >> Exactly right. Everyone loves speed, right? And that's what we're talking about. So we really looked at lots of names, obviously, and Velocity is one of those ones that just stuck. It felt really right. It felt like it captured what we were trying to do in the market. You know, Accenture, we don't name a lot of things one off, right? They're really focused on what they do. And this was an exception to that because we thought, and we think that it's really going to drive the speed of our customers. And that was a challenge. And we're starting to see that. We're starting to see the improvement and speed that we can get our customers into the cloud. It's awesome. >> Yeah, it caught my attention right away. >> Yeah. >> So success on nicely done there. >> But I also think that velocity is not just about speed, it's speed in the right direction, right? >> Oh, sure. It's meant to design it in the way that our customers are leading and that we can then go along that journey with them. >> Right, yeah. The last thing you want is to go really fast in the wrong way. >> That's exactly right. That's exactly right. >> That's bad recipe. And you've had very few of those. You've had a lot of good recipes. Thanks for the time fellas, we appreciate. >> No, thanks for having us. >> All about Velocity and that offering going out to the marketplace in a, I guess a modernized version. Could you call it modernized now? By the way, it's only been around for couple years. It's all modernized. You are watching the executive summit sponsored by Accenture and also theCUBE, which is the leader in tech coverage. (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)

(Music) >> Welcome to the AWS executive summit presented by Accenture at AWS reinvent 2021. I'm Lisa Martin, and I've got two Cube alum here with me, please welcome Merim Becirovic, Managing Director of Global IT Enterprise Architecture at Accenture and Chris Wegmann, Accenture, AWS Business Group technology and practices, Senior Managing Director, gentlemen, welcome back to the program. >> Thank you, Lisa, great to be back. >> Thank you, Lisa. Great to be here. >> It is nice to be back in a way right here we are at this hybrid event, but we want to talk about what Accenture is doing with its, with AWS to serving its clients. And then we're going to get into your own internal use case, drinking your own champagne. Chris go ahead and start with you, talk to us about what Accenture is doing with AWS to serve its clients. >> Yeah, Lisa, it's exciting, as you said to be back in this hybrid event and you know, for me, this will be my 10th re-invent and for Accenture we're in year 14 of our partnership with AWS and actually year six of our partnership called Accenture AWS business group. And you know, the focus over the last year has been helping our clients come out of the pandemic stronger than, than where they started. Right? And a lot of that has been around focusing our customers, getting past cloud migration, past cloud modernization, and getting further into what we now call the cloud continuum, starting to truly leverage all the AWS assets and capabilities and services to, to truly speed their transformation. You know, we work with a lot of our customers who are needing to transform even faster today than they were before the pandemic. And, you know, we're focused on helping those customers do that with AWS services. >> So Merim, let's bring you into the conversation. Now Accenture's internal IT organization has been leveraging AWS and public cloud for a while. Talk to me about that you completed the journey a couple of years ago, 95% in the cloud. Talk to me about what you're doing there. >> Sure. Lisa, so our, our journey into the public cloud is complete. As you said, we put a bow on that project a couple of years ago. We started in 2015 and we went all in on public cloud. So we, the number 95%, 95% represents a true measure of everything it takes to run Accenture. Everything addressable is in the public cloud today. So the 95% just represents a small component of things that have to live outside of the cloud. But other than that, our journey to the cloud is complete, and we are very happy being in the cloud because it has opened tremendous doors for us as a business. I'm sure we'll talk about here as we go, but it's fundamentally a different place we live in today and where we were before we were in the cloud. >> Merim, you said something really powerful there a second ago. The Accenture's journey to the cloud is complete. I don't think I'd ever heard anybody say that. Talk to me about the impact, especially during the last 18 months that that cloud journey is delivered. >> I mean, one of the things I am extremely proud of for our collective global teams around the world, when the, obviously the, you know, when COVID hit and the pandemic engulf the world, the only difference for us was that people just did not come into an office to work. Our capabilities in the cloud, our capabilities of having everything in the cloud really made it that much easier for our people to go to work. We weren't fighting over resources around infrastructure. People could just work from home directly. So I'm extremely proud of the collective global team that made all of that happen as part of that execution of all those things. So it was really a very proud moment, I would say for all of us running IT. >> As well, it should be. Chris, talk about that from your perspective of facilitating that massive pivot 18, 19 months ago, and what your group was responsible for doing to enable this cloud journey to be complete. >> Yeah. I always laughed at, you know, Merim and our internal CIO organizations, we call it was our first customer, right. You know, way back when I started working in this partnership, you know, we were already starting to leverage AWS, S3 and EC2, and that insight Accenture, and we took a lot of those best practices and started helping, our clients leverages best practices. So, you know, from an Accenture, we always kind of harvest from internally what we're doing, but, you know, over the last several years, we really are our focused with the CIO organization, Merim's organization has been, you know, expanding the usage of non, you know, I, as I call Maya services, right? So past EC2, you know, past S3. Obviously there's always storage. There's always compute, but you know, truly doing and building serverless applications, truly using, you know, services, fully managed services. So, you know, the CIO organization doesn't have to spend their time doing that. And, for our customers, that's while it's, they're still early on in a lot of their journeys, that's a novel idea is a truly try to sunset IS services or EC2 and things like that, you know, and whether that's, you know, fix some containerization or things like that, I think the other big part is, is the maturing security footprint, right? Obviously, as you use one or more of these AWS services, your security posture, your presence, how you think about security. We created an asset called secure cloud foundation, leveraging many of the AWS services in the security space that have come out like guard duty and others really to help make that security foundation stronger, make it easier for our customers, including CIO to leverage those services and truly enable that move further up the cloud or further down the continuum as we call it. >> Merim, I want to get your thoughts on security from in a, because we have seen such a dramatic change in the threat landscape in the last 18, 19 months. We've seen a huge spike in ransomware. It's getting much more personal. It's now a household word. We've got the executive order. We had this rapid pivot to and hundreds of thousands of Accenture employees working from home. Talk to me about, you feel very confident in the cloud during that you didn't word where's your competence from a security perspective. >> As you said, security is the fastest growth in our business. Collectively, like you said, the bad guys don't sleep. We don't sleep either when it comes to security. One of the things that we're constantly thinking about is how do we turn on a lot of our capabilities as an example. So even, I would say at an enterprise level, it's different when you're running a big multinational corporation, 650,000 people like we do. We can't just turn everything on and hope for the best. We are very scripted in terms of how we think about those services, how we think about the processes, how we work with our CSO organization, so that we're very meticulous and very thorough in terms of what services we turn on, how we turn them on, when we turn them on? How long we make them available, because this is, this is the new world, right? We have extended our corporate structure out into the cloud. That means we have to think of different ways for how we want to consume those capabilities and services. So like Chris said, you know, the, the journey to the cloud for us is complete. A lot of it was I, as I would tell you, a lot of it was lift and shift for less. And we can talk about that if we get time, but it was more about getting into the cloud and taking advantage of the cloud where we are today, because now that we're there, we get to take advantage of all those capabilities that are there. And I would say the best part of being with on, in, in the cloud is also having the, the providers like AWS they are with us, helping us with that security posture. So it's not just us doing this by ourselves. >> So Chris, I want to talk about that Merim just said, this was mostly lift and shift. Talk to us about that. Cause when we talk to organizations in every industry, the cloud transition, the cloud journey is extremely challenging. It's complex. How did you do this? How did you facilitate this and in a relatively short time period, Chris? >> Yeah. And, and you're right. Everyone has conversations I have with my clients. You know, there's a huge debate whether to lift and shift or modernize or build new build cloud native, right? So, you know, in Accenture's situation, you know, very early on, it was identified that we can, we can do a large savings by doing a lift and shift migration, right. We were not a big data center owner, right. That wasn't, we're not a big capital intense organization. So for us, that, that journey we had, you know, colos and that stuff coming up for renewal. And we knew that we could, you know, get some early savings there and really, you know, reduce our footprint and take that investment and then invest it into, you know, true modernization. So Merim and his organization worked very closely to build the factory, to do the migrations, get that done in a very short amount of time and then turn their attention on truly refactoring rebuilding the applications. I'm super proud of the number of applications that we've rebuilt. I'm super proud of the number of applications that, that now are cloud native. And we live in these applications every day. You know, they they're everything from our performance to how we do our payroll and do our time charging and things like that. But which, you know, it was a big reason why, you know, we can access our systems remotely and at home versus going into different systems to get to that stuff. So, you know, it was very much heavily lift and shift early, then really focusing on modernization. And as Merim said, getting, you know, now it's about living there and continuing, continuing to modernize, continuing to accelerate what we're doing in the cloud. >> Yeah. Lisa, its little bit like, so our journey lift and shift was a core component of it. But the minute we decided to go to the cloud, one of the things, the first things we did, as I said, no more vans. So any new capability that we were going to build, we were going to build a cloud native micro-services based, and that's been our standard for the last 3 or 4 years ago. So any new capability that comes along today that we must do custom, we build a cloud native microservices because one of the other things that I've got on my plate is I'm trying to reduce our overall technical debt. So all of these IS platforms, I still have to maintain them, patch them, support them, upgrade them. And I would rather be much more efficient at doing those things as, as I can and reinvest money into refactoring and modernizing the rest of the application, plead through containers through microservices, et cetera, which then gives me the agility right back to actually go even faster, to enable more services for the business. >> Speed is something that we've seen become even more critical in the last 18, 19 months where we needed to everybody pivot businesses multiple times over and over. But part of the challenge there Merim, I want to get your thoughts on this is they are something cultural shift. Talk to me about, you've been at Accenture for a long time. Talk to me about the cultural shift needed to facilitate this massive transformation to cloud and how Chris's team was a facilitator of that. >> So, you know, one of the things for us, I have probably in the last five years spoken to a thousand of our clients, around our cloud journey and this culture conversation always comes up and I will say, you know, the biggest thing for us was interesting. We had those same fears. We had some same in when we first talked about going to the cloud, you know, six years ago, it was very, not everything was there, that's there today. So the teams were extremely nervous and they were confident that we could never be as, as good in the cloud as we were on, on site. Yet here we are six years later and we're constantly finding ways to add value and take, bring value back. And though, it's so same teams. And one of the things is just, we gave them the challenge to say, Hey, this is the future. We're telling our clients, this is where we're going. We have an opportunity here to do something different and they took it and the team really took it on. And they said, okay, let's do it. And they act, and we looked at how we run into cloud the many different ways, whether we're using reserved instances, whether we're using containers, whether we're using, you know, different computer capabilities, we went through all of it and we're running such a highly efficient machine right now that it's like, we're still able to continue to eat out savings even five years after the program. Even two years after the program is complete, we're still able to get savings. >> That's outstanding. That's ROI that every business and every industry hopes to be able to achieve from this. I want to switch gears a little bit now because this is actually pretty cool. Accenture is really focused also on sustainability. You guys have signed onto the Amazon climate pledge, which if you don't know what the Amazon climate pledge, and this is back in 2019, Amazon, co-founded this a commitment to be net zero carbon across businesses by 2040, which is actually 10 years ahead of the Paris agreement. You're in talk to us about that. And from Accenture's perspective, why it was important to sign on to that. >> So on a, on a personal level, I love obviously sustainability as a whole, that I think about the world park for my children that are growing up. So it's very important to me on a personal level as well. But I would say at a company level, what I love about the cloud is I am there right there with them as they make investments. All of our enterprise capabilities are there. We are able to very quickly shift and use those capabilities. So as Amazon, for example, in this scenario creates new capabilities, new compute offerings, new, new storage offerings, whatever it may be. They're doing it with a sustainability lens and me by being in the cloud already, I can then turn to start using those things too. So as much as I can, on that perspective, I'm in a great place with, as Amazon puts these sustainability capabilities out there, I'm right there consuming and making them more efficient. And then the other one is obviously as much of our workloads, as we can get to a cloud native perspective, microservices perspective, then we keep reducing that compute consumption and everything else that goes along with it. And lastly, I would say, you know, the, the other thing is we're very aggressive in managing all of our systems in terms of uptime. So for example, in a data center, most, most organizations don't think about turning off their development environments and everything else. But for us, we're very rigid in this process. And we have a, we have a target of all of our development environments being down 55% of the time. And primarily that's also a sustainability play in addition to a financial savings plan. >> Awesome. Great stuff, Chris, last question for you, as we wrap up here, what are some of the things that you were excited about that's coming in cloud in the next few years? Obviously here we are at, re-invent going to be hearing a lot of news, a lot of announcements about cloud in the coming days. What excites you most, Chris? >> Yeah. You know, obviously the machine learning and AI stuff is, is always the most exciting things right now in cloud. And, you know, we've put a lot of those to use here inside of Accenture as well. And, and our, you know, in our synopsis platform, which we use with our customers to run in a more intelligent operations, we use that internally as well. But you know, one of the things that excites me the most is the continued innovation at the core. Right. And you know, whether that be, you know, chip sets, you know, Merim talked a little bit about, you know, improvement and performance improvement and power consumption, you know, grabbing time, those types of stuff that, that excites me every year, I look forward to seeing what, what they come out with and, and then how we're going to put that to use. >> Well, I look forward to talking to you guys next year, you've done such a tremendous job. You should be proud of the massive transformation that you've done. I imagine this is, would be a great case study. If it's not already written up, it should be. It's really impressive. Merim and Chris, thank you for joining me at the summit. Talking to me about what's going on with Accenture and AWS and some of the things that you are looking forward to, we appreciate your insights and your time. >> Thanks, Lisa. >> Thanks, Lisa. >> You're welcome for my guests. I'm Lisa Martin. This is the AWS executive summit presented by Accenture at AWS reinvent 2021. (Music)

(Music) >> Welcome to the AWS executive summit presented by Accenture at AWS reinvent 2021. I'm Lisa Martin, and I've got two cube alum here with me, please welcome Merim Bertovic, managing director of global IT enterprise architecture at Accenture and Chris Wegmann, Accenture, AWS business group technology and practices, senior managing director, gentlemen, welcome back to the program. >> Thank you, Lisa, great to be back. >> Thank you, Lisa. Great to be here. >> It is nice to be back in a way right here we are at this hybrid event, but we want to talk about what Accenture is doing with its, with AWS to serving its clients. And then we're going to get into your own internal use case, drinking your own champagne. Chris go ahead and start with you, talk to us about what Accenture is doing with AWS to serve its clients. >> Yeah, Lisa, it's exciting, as you said to be back in this hybrid event and you know, for me, this will be my 10th re-invent and for Accenture we're in year 14 of our partnership with AWS and actually year six of our partnership called Accenture AWS business group. And you know, the focus over the last year has been helping our clients come out of the pandemic stronger than, than where they started. Right? And a lot of that has been around focusing our customers, getting past cloud migration, past cloud modernization, and getting further into what we now call the cloud continuum, starting to truly leverage all the AWS assets and capabilities and services to, to truly speed their transformation. You know, we work with a lot of our customers who are needing to transform even faster today than they were before the pandemic. And, you know, we're focused on helping those customers do that with AWS services. >> So Merim, let's bring you into the conversation. Now Accenture's internal IT organization has been leveraging AWS and public cloud for a while. Talk to me about that you completed the journey a couple of years ago, 95% in the cloud. Talk to me about what you're doing there. >> Sure. Lisa, so our, our journey into the public cloud is complete. As you said, we put a bow on that project a couple of years ago. We started in 2015 and we went all in on public cloud. So we, the number 95%, 95% represents a true measure of everything it takes to run Accenture. Everything addressable is in the public cloud today. So the 95% just represents a small component of things that have to live outside of the cloud. But other than that, our journey to the cloud is complete, and we are very happy being in the cloud because it has opened tremendous doors for us as a business. I'm sure we'll talk about here as we go, but it's fundamentally a different place we live in today and where we were before we were in the cloud. >> Merim, you said something really powerful there a second ago. The Accenture's journey to the cloud is complete. I don't think I'd ever heard anybody say that. Talk to me about the impact, especially during the last 18 months that that cloud journey is delivered. >> I mean, one of the things I am extremely proud of for our collective global teams around the world, when the, obviously the, you know, when COVID hit and the pandemic engulf the world, the only difference for us was that people just did not come into an office to work. Our capabilities in the cloud, our capabilities of having everything in the cloud really made it that much easier for our people to go to work. We weren't fighting over resources around infrastructure. People could just work from home directly. So I'm extremely proud of the collective global team that made all of that happen as part of that execution of all those things. So it was really a very proud moment, I would say for all of us running IT. >> As well, it should be. Chris, talk about that from your perspective of facilitating that massive pivot 18, 19 months ago, and what your group was responsible for doing to enable this cloud journey to be complete. >> Yeah. I always laughed at, you know, Merim and our internal CIO organizations, we call it was our first customer, right. You know, way back when I started working in this partnership, you know, we were already starting to leverage AWS, S3 and EC2, and that insight Accenture, and we took a lot of those best practices and started helping, our clients leverages best practices. So, you know, from an Accenture, we always kind of harvest from internally what we're doing, but, you know, over the last several years, we really are our focused with the CIO organization, Merim's organization has been, you know, expanding the usage of non, you know, I, as I call Maya services, right? So past EC2, you know, past S3. Obviously there's always storage. There's always compute, but you know, truly doing and building serverless applications, truly using, you know, services, fully managed services. So, you know, the CIO organization doesn't have to spend their time doing that. And, for our customers, that's while it's, they're still early on in a lot of their journeys, that's a novel idea is a truly try to sunset IS services or EC2 and things like that, you know, and whether that's, you know, fix some containerization or things like that, I think the other big part is, is the maturing security footprint, right? Obviously, as you use one or more of these AWS services, your security posture, your presence, how you think about security. We created an asset called secure cloud foundation, leveraging many of the AWS services in the security space that have come out like guard duty and others really to help make that security foundation stronger, make it easier for our customers, including CIO to leverage those services and truly enable that move further up the cloud or further down the continuum as we call it. >> Merim, I want to get your thoughts on security from in a, because we have seen such a dramatic change in the threat landscape in the last 18, 19 months. We've seen a huge spike in ransomware. It's getting much more personal. It's now a household word. We've got the executive order. We had this rapid pivot to and hundreds of thousands of Accenture employees working from home. Talk to me about, you feel very confident in the cloud during that you didn't word where's your competence from a security perspective. >> As you said, security is the fastest growth in our business. Collectively, like you said, the bad guys don't sleep. We don't sleep either when it comes to security. One of the things that we're constantly thinking about is how do we turn on a lot of our capabilities as an example. So even, I would say at an enterprise level, it's different when you're running a big multinational corporation, 650,000 people like we do. We can't just turn everything on and hope for the best. We are very scripted in terms of how we think about those services, how we think about the processes, how we work with our CSO organization, so that we're very meticulous and very thorough in terms of what services we turn on, how we turn them on, when we turn them on? How long we make them available, because this is, this is the new world, right? We have extended our corporate structure out into the cloud. That means we have to think of different ways for how we want to consume those capabilities and services. So like Chris said, you know, the, the journey to the cloud for us is complete. A lot of it was I, as I would tell you, a lot of it was lift and shift for less. And we can talk about that if we get time, but it was more about getting into the cloud and taking advantage of the cloud where we are today, because now that we're there, we get to take advantage of all those capabilities that are there. And I would say the best part of being with on, in, in the cloud is also having the, the providers like AWS they are with us, helping us with that security posture. So it's not just us doing this by ourselves. >> So Chris, I want to talk about that Merim just said, this was mostly lift and shift. Talk to us about that. Cause when we talk to organizations in every industry, the cloud transition, the cloud journey is extremely challenging. It's complex. How did you do this? How did you facilitate this and in a relatively short time period, Chris? >> Yeah. And, and you're right. Everyone has conversations I have with my clients. You know, there's a huge debate whether to lift and shift or modernize or build new build cloud native, right? So, you know, in Accenture's situation, you know, very early on, it was identified that we can, we can do a large savings by doing a lift and shift migration, right. We were not a big data center owner, right. That wasn't, we're not a big capital intense organization. So for us, that, that journey we had, you know, colos and that stuff coming up for renewal. And we knew that we could, you know, get some early savings there and really, you know, reduce our footprint and take that investment and then invest it into, you know, true modernization. So Merim and his organization worked very closely to build the factory, to do the migrations, get that done in a very short amount of time and then turn their attention on truly refactoring rebuilding the applications. I'm super proud of the number of applications that we've rebuilt. I'm super proud of the number of applications that, that now are cloud native. And we live in these applications every day. You know, they they're everything from our performance to how we do our payroll and do our time charging and things like that. But which, you know, it was a big reason why, you know, we can access our systems remotely and at home versus going into different systems to get to that stuff. So, you know, it was very much heavily lift and shift early, then really focusing on modernization. And as Miriam said, getting, you know, now it's about living there and continuing, continuing to modernize, continuing to accelerate what we're doing in the cloud. >> Yeah. Lisa, its little bit like, so our journey lift and shift was a core component of it. But the minute we decided to go to the cloud, one of the things, the first things we did, as I said, no more vans. So any new capability that we were going to build, we were going to build a cloud native micro-services based, and that's been our standard for the last 3 or 4 years ago. So any new capability that comes along today that we must do custom, we build a cloud native microservices because one of the other things that I've got on my plate is I'm trying to reduce our overall technical debt. So all of these IS platforms, I still have to maintain them, patch them, support them, upgrade them. And I would rather be much more efficient at doing those things as, as I can and reinvest money into refactoring and modernizing the rest of the application, plead through containers through microservices, et cetera, which then gives me the agility right back to actually go even faster, to enable more services for the business. >> Speed is something that we've seen become even more critical in the last 18, 19 months where we needed to everybody pivot businesses multiple times over and over. But part of the challenge there Merim, I want to get your thoughts on this is they are something cultural shift. Talk to me about, you've been at Accenture for a long time. Talk to me about the cultural shift needed to facilitate this massive transformation to cloud and how Chris's team was a facilitator of that. >> So, you know, one of the things for us, I have probably in the last five years spoken to a thousand of our clients, around our cloud journey and this culture conversation always comes up and I will say, you know, the biggest thing for us was interesting. We had those same fears. We had some same in when we first talked about going to the cloud, you know, six years ago, it was very, not everything was there, that's there today. So the teams were extremely nervous and they were confident that we could never be as, as good in the cloud as we were on, on site. Yet here we are six years later and we're constantly finding ways to add value and take, bring value back. And though, it's so same teams. And one of the things is just, we gave them the challenge to say, Hey, this is the future. We're telling our clients, this is where we're going. We have an opportunity here to do something different and they took it and the team really took it on. And they said, okay, let's do it. And they act, and we looked at how we run into cloud the many different ways, whether we're using reserved instances, whether we're using containers, whether we're using, you know, different computer capabilities, we went through all of it and we're running such a highly efficient machine right now that it's like, we're still able to continue to eat out savings even five years after the program. Even two years after the program is complete, we're still able to get savings. >> That's outstanding. That's ROI that every business and every industry hopes to be able to achieve from this. I want to switch gears a little bit now because this is actually pretty cool. Accenture is really focused also on sustainability. You guys have signed onto the Amazon climate pledge, which if you don't know what the Amazon climate pledge, and this is back in 2019, Amazon, co-founded this a commitment to be net zero carbon across businesses by 2040, which is actually 10 years ahead of the Paris agreement. You're in talk to us about that. And from Accenture's perspective, why it was important to sign on to that. >> So on a, on a personal level, I love obviously sustainability as a whole, that I think about the world park for my children that are growing up. So it's very important to me on a personal level as well. But I would say at a company level, what I love about the cloud is I am there right there with them as they make investments. All of our enterprise capabilities are there. We are able to very quickly shift and use those capabilities. So as Amazon, for example, in this scenario creates new capabilities, new compute offerings, new, new storage offerings, whatever it may be. They're doing it with a sustainability lens and me by being in the cloud already, I can then turn to start using those things too. So as much as I can, on that perspective, I'm in a great place with, as Amazon puts these sustainability capabilities out there, I'm right there consuming and making them more efficient. And then the other one is obviously as much of our workloads, as we can get to a cloud native perspective, microservices perspective, then we keep reducing that compute consumption and everything else that goes along with it. And lastly, I would say, you know, the, the other thing is we're very aggressive in managing all of our systems in terms of uptime. So for example, in a data center, most, most organizations don't think about turning off their development environments and everything else. But for us, we're very rigid in this process. And we have a, we have a target of all of our development environments being down 55% of the time. And primarily that's also a sustainability play in addition to a financial savings plan. >> Awesome. Great stuff, Chris, last question for you, as we wrap up here, what are some of the things that you were excited about that's coming in cloud in the next few years? Obviously here we are at, re-invent going to be hearing a lot of news, a lot of announcements about cloud in the coming days. What excites you most, Chris? >> Yeah. You know, obviously the machine learning and AI stuff is, is always the most exciting things right now in cloud. And, you know, we've put a lot of those to use here inside of Accenture as well. And, and our, you know, in our synopsis platform, which we use with our customers to run in a more intelligent operations, we use that internally as well. But you know, one of the things that excites me the most is the continued innovation at the core. Right. And you know, whether that be, you know, chip sets, you know, Merim talked a little bit about, you know, improvement and performance improvement and power consumption, you know, grabbing time, those types of stuff that, that excites me every year, I look forward to seeing what, what they come out with and, and then how we're going to put that to use. >> Well, I look forward to talking to you guys next year, you've done such a tremendous job. You should be proud of the massive transformation that you've done. I imagine this is, would be a great case study. If it's not already written up, it should be. It's really impressive. Merim and Chris, thank you for joining me at the summit. Talking to me about what's going on with Accenture and AWS and some of the things that you are looking forward to, we appreciate your insights and your time. >> Thanks, Lisa. >> Thanks, Lisa. >> You're welcome for my guests. I'm Lisa Martin. This is the AWS executive summit presented by Accenture at AWS reinvent 2021. (Music)

>> Announcer: From around the globe, it's theCUBE. With digital coverage of AWS reInvent Executive Summit 2020, sponsored by Accenture and AWS. >> Hello and welcome back to theCUBE's coverage of AWS reInvent 2020. This is special programming for the Accenture Executive Summit where all the thought leaders are going to extract the signal from those share with you their perspective of this year's reInvent conference as it respects the customers' digital transformation. Brian Bohan is the director and head of Accenture, AWS Business Group at Amazon web services. Brian, great to see you. And Chris Wegmann is the Accenture Amazon Business Group technology lead at Accenture. Guys this is about technology vision this conversation. Chris, I want to start with you because you're Andy Jackson's keynote. You heard about the strategy of digital transformation, how you got to lean into it. You got to have the guts to go for it and you got to decompose. He went everywhere.(chuckles) So what did you hear? What was striking about the keynote? Because he covered a lot of topics. >> Yeah. It was epic as always from Andy. Lot of topics, a lot to cover in the three hours. There was a couple of things that stood out for me. First of all, hybrid. The concept, the new concept of hybrid and how Andy talked about it, bringing the compute and the power to all parts of an enterprise, whether it be at the edge or are in the big public cloud, whether it be in an Outpost or wherever it'd be, right with containerization now. Being able to do Amazon containerization in my data center and that's awesome. I think that's going to make a big difference. All that being underneath the Amazon console and billing and things like that, which is great. I'll also say the chips, right? I know computer is always something that we always kind of take for granted but I think again, this year, Amazon and Andy really focused on what they're doing with the chips and compute and the compute is still at the heart of everything in cloud. And that continued advancement is making an impact and will make and continue to make a big impact. >> Yeah, I would agree. I think one of the things that really... I mean the container thing was I think really kind of a nuance point. When you've got Deepak Singh on the opening day with Andy Jassy and he runs a container group over there. When we need a small little team, he's on the front stage. That really is the key to the hybrid. I think this showcases this new layer. We're taking advantage of the Graviton2 chips, which I thought was huge. Brian, this is really a key part of the platform change, not change, but the continuation of AWS. Higher level servers, >> Yep. building blocks that provide more capabilities, heavy lifting as they say but the new services that are coming on top really speaks to hybrid and speaks to the edge. >> It does. Yeah. I think like Andy talks about and we talked about we really want to provide choice to our customers, first and foremost. And you can see that in the array of services we have, we can see it in the the hybrid options that Chris talked about. Being able to run your containers through ECS or EKS anywhere. It just get to the customers choice. And one of the things that I'm excited about as you talk about going up the stack and on the edge are things, most certainly Outpost, right? So now Outpost was launched last year but then with the new form factors and then you look at services like Panorama, right? Being able to take computer vision and embed machine learning and computer vision, and do that as a managed capability at the edge for customers. And so we see this across a number of industries. And so what we're really thinking about is customers no longer have to make trade-offs and have to think about those choices, that they can really deploy natively in the cloud and then they can take those capabilities, train those models, and then deploy them where they need to whether that's on premises or at the edge, whether it be in a factory or retail environment. I think we're really well positioned when hopefully next year we start seeing the travel industry rebound and the need more than ever really to kind of rethink about how we kind of monitor and make those environments safe. Having this kind of capability at the edge is really going to help our customers as we come out of this year and hopefully rebound next year. >> Chris, I want to go back to you for a second. It's hard to pick your favorite innovation from the keynote because, Brian, just reminded me of some things I forgot happened. It was like a buffet of innovation. Some keynotes have one or two, there was like 20. You got the industrial piece that was huge. Computer vision, machine learning, that's just a game changer. The connect thing came out of nowhere in my opinion. I mean, it's a call center technology so it's boring as hell, what are you going to do with that?(Brian and Chris chuckle) It turns out it's a game changer. It's not about the calls but the contact and that's distant intermediating in the stack as well. So again, a feature that looks old is actually new and relevant. What was your favorite innovation announcement? >> It's hard to say. I will say my personal favorite was the Mac OS. I think that is a phenomenal just addition, right? And the fact that AWS has worked with Apple to integrate the Nitro chip into the iMac and offer that out. A lot of people are doing development for IOS and that stuff and that's just been a huge benefit for the development teams. But I will say, I'll come back to Connect. You mentioned it but you're right. It's a boring area but it's an area that we've seen huge success with since Connect was launched and the additional features that Amazon continues to bring, obviously with the pandemic and now that customer engagement through the phone, through omni-channel has just been critical for companies, right? And to be able to have those agents at home, working from home versus being in the office, it was a huge advantage for several customers that are using Connect. We did some great stuff with some different customers but the continue technology like you said, the call translation and during a call to be able to pop up those keywords and have a supervisor listen is awesome. And some of that was already being done but we are stitching multiple services together. Now that's right out of the box. And that Google's location is only going to make that go faster and make us to be able to innovate faster for that piece of the business. >> It's interesting not to get all nerdy and business school like but you've got systems of records, systems of engagement. If you look at the call center and the Connect thing, what got my attention was not only the model of disintermediating that part of the engagement in the stack but what actually cloud does to something that's a feature or something that could be an element like say call center, the old days of calling the 800 number and getting some support. You got infra chip, you have machine learning, you actually have stuff in the in the stack that actually makes that different now. The thing that impressed me was Andy was saying, you could have machine learning detect pauses, voice inflections. So now you have technology making that more relevant and better and different. So a lot going on. This is just one example of many things that are happening from a disruption innovation standpoint. What do you guys think about that? Am I getting it right? Can you share other examples? >> I think you are right and I think what's implied there and what you're saying and even in the other Mac OS example is the ability... We're talking about features, right? Which by themselves you're saying, Oh, wow! What's so unique about that? But because it's on AWS and now because whether you're a developer working with Mac iOS and you have access to the 175 plus services that you can then weave into your new application. Talk about the Connect scenario. Now we're embedding that kind of inference and machine learning to do what you say, but then your data Lake is also most likely running in AWS, right? And then the other channels whether they be mobile channels or web channels or in-store physical channels, that data can be captured and that same machine learning could be applied there to get that full picture across the spectrum, right? So that's the power of bringing you together on AWS, the access to all those different capabilities and services and then also where the data is and pulling all that together for that end to end view. >> Can you guys give some examples of work you've done together? I know there's stuff we've reported on, in the last session we talked about some of the connect stuff but that kind of encapsulates where this is all going with respect to the tech. >> Yeah. I think one of them, it was called out on Doug's Partner Summit is a SAP Data Lake Accelerator, right? Almost every enterprise has SAP, right? And getting data out of SAP has always been a challenge, right? Whether it be through data warehouses and AWS, or sorry, SAP BW. What we've focused on is getting that data when you have SAP on AWS, getting that data into the Data Lake, right? Getting it into a model that you can pull the value out and the customers can pull the value out, use those AI models. So that's one thing we worked on in the last 12 months. Super excited about seeing great success with customers. A lot of customers had ideas. They want to do this, they had different models. What we've done is made it very simplified. Framework which allows customers to do it very quickly, get the data out there and start getting value out of it and iterating on that data. We saw customers are spending way too much time trying to stitch it all together and trying to get it to work technically. And we've now cut all of that out and they can immediately start getting down to the data and taking advantage of those different services that are out there by AWS. >> Brian, you want to weigh in as things you see as relevant builds that you guys done together that kind of tease out the future and connect the dots to what's coming? >> I'm going to use a customer example. We worked with, it just came out, with Unilever around their blue air, connected, smart air purifier. And what I think is interesting about that, I think it touches on some of the themes we're talking about as well as some of the themes we talked about in the last session, which is we started that program before the pandemic, but Unilever recognized that they needed to differentiate their product in the marketplace, move to more of a services oriented business which we're seeing as a trend. We enabled this capability. So now it's a smart air purifier that can be remote managed. And now when the pandemic hit, they are in a really good position, obviously, with a very relevant product and capability to be used. And so, that data then as we were talking about is going to reside on the cloud. And so the learning that can now happen about usage and about filter changes, et cetera can find its way back into future iterations of that picked out that product. And I think that's keeping with what Chris is talking about where we might be systems of record like in SAP, how do we bring those in and then start learning from that data so that we can get better on our future iterations? >> Hey, Chris, on the last segment we did on the business mission session, Andy Tay from your team talked about partnerships within a century and working with other folks. I want to take that now on the technical side because one of the things that we heard from Doug's keynote and during the partner day was integrations and data were two big themes. When you're in the cloud technically, the integrations are different. You're going to get unique things in the public cloud that you're just not going to get on-premise access to other cloud native technologies and companies. How do you see the partnering of Accenture with people within your ecosystem and how the data and the integration play together? What's your vision? >> Yeah. I think there's two parts of it. One there's from a commercial standpoint, right? Some marketplace, you heard Dave talk about that in the partner summit, right? That marketplace is now bringing together this ecosystem in a very easy way to consume by the customers and by the users and bringing multiple partners together. And we're working with our ecosystem to put more products out in the marketplace that are integrated together already. I think one from a technical perspective though. If you look at Salesforce, I talked a little earlier about Connect. Another good example technically underneath the covers, how we've integrated Connect and Salesforce, some of it being pre-built by AWS and Salesforce, other things that we've added on top of it, I think are good examples. And I think as these ecosystems these ISVs put their products out there and start exposing more and more APIs on the Amazon platform may opening it up, having those pre-built network connections there between the different VPCs of the different areas within within a customer's network and having them all opened up and connected and having all that networking done underneath the covers. It's one thing to call the APIs, it's one thing to have access to those and that's not a big focus of a lot of ISVs and customers who build those APIs and expose them but having that network infrastructure underneath and being able to stay within the cloud, within AWS to make those connections that pass that data. We always talk about scale, right? It's one thing if I just need to pass like a simple user ID back and forth, right? That's fine. We're not talking massive data sets, whether it be seismic data or whatever it be, passing those large data sets between customers across the Amazon network is going to open up the world. >> Yeah, I see huge possibilities there and love to keep on this story. I think it's going to be important and something to keep track of. I'm sure you guys will be on top of it. One of the things I want to dig into with you guys now is Andy had kind of this philosophical thing in his keynote talk about societal change and how tough the pandemic is. Everything's on full display and this kind of brings out kind of like where we are and the truth. If you look at the truth it's a virtual event. I mean, it's a website and you got some sessions out there, we're doing remote best we can and you've got software and you've got technology and the other concept of a mechanism, it's software, it does something It does a purpose. Accenture, you guys have a concept called Living Systems where growth strategy powered by technology. How do you take the concept of a living organism or a system and replace the mechanism staleness of computing and software? And this is kind of interesting because we're on the cusp of a major inflection point post COVID. I get the digital transformation being slow. That's yes, that's happening. There's other things going on in society. What do you guys think about this Living Systems concept? Yeah. I'll start. I think the living system concept, it started out very much thinking about how do you rapidly change your system, right? And because of cloud, because of DevOps, because of all these software technologies and processes that we've created, that's where it started making it much easier, make it a much faster being able to change rapidly. But you're right. I think if you now bring in more technologies, the AI technology, self-healing technologies. Again, you heard Andy in his keynote talk about the systems and services they're building to detect problems and resolve those problems, right? Obviously automation is a big part of that. Living Systems, being able to bring that all together and to be able to react in real time to either when a customer asks, either through the AI models that have been generated and turning those AI models around much faster and being able to get all the information that came in the last 20 minutes, right? Society is moving fast and changing fast and even in one part of the world, if something in 10 minutes can change. And being able to have systems to react to that, learn from that and be able to pass that on to the next country especially in this world of COVID and things changing very quickly and diagnosis and medical response all that so quickly to be able to react to that and have systems pass that information, learn from that information is going to be critical. >> That's awesome. Brian, one of the things that comes up every year is, oh, the cloud's scalable. This year I think we've talked on theCUBE before, years ago certainly with the Accenture and Amazon. I think it was like three or four years ago. Yeah. The clouds horizontally scalable but vertically specialized at the application layer. But if you look at the Data Lake stuff that you guys have been doing where you have machine learning, the data is horizontally scalable and then you got the specialization in the app changes the whole vertical thing. You don't need to have a whole vertical solution or do you? So, how has this year's cloud news impacted vertical industries? Because it used to be, oh, oil and gas, financial services. They've got a team for that. We got a stack for that. Not anymore. Is it going away? What's changing? >> Well. It's a really good question. I think what we're seeing, and I was just on a call this morning talking about banking and capital markets and I do think the challenges are still pretty sector specific. But what we do see is the kind of commonality when we start looking at the, and we talked about this, the industry solutions that we're building as a partnership, most of them follow the pattern of ingesting data, analyzing that data and then being able to provide insights and then actions, right? So if you think about creating that kind of common chassis of that in just the Data Lake and then the machine learning, and you talk about the nuances around SageMaker and being able to manage these models, what changes then really are the very specific industries' algorithms that you're writing, right, within that framework. And so, we're doing a lot and Connect is a good example of this too, where you look at it and yeah, customer service is a horizontal capability that we're building out, but then when you stamp it into insurance or retail banking, or utilities, there are nuances then that we then extend and build so that we meet the unique needs of those industries and that's usually around those models. >> Yeah. I think this year was the first reInvent that I saw real products coming out that actually solved that problem. I mean, it was there last year SageMaker was kind of moving up the stack, but now you have apps embedding machine learning directly in and users don't even know it's in there. I mean, cause this is kind of where it's going, right? I mean-- >> You saw that was in announcements, right? How many announcements where machine learning is just embedded in? I mean, CodeGuru, DevOps Guru, the Panorama we talked about, it's just there. >> Yeah. I mean having that knowledge about the linguistics and the metadata, knowing the business logic, those are important specific use cases for the vertical and you can get to it faster. Chris, how is this changing on the tech side, your perspective? >> Yeah. I keep coming back to AWS and cloud makes it easier, right? All this stuff can be done and some of it has been done, but what Amazon continues to do is make it easier to consume by the developer, by the customer and to actually embed it into applications much easier than it would be if I had to go set up the stack and build it all on them and embed it, right? So it's shortcoming that process and again, as these products continue to mature, right, and some of this stuff is embedded, it makes that process so much faster. It reduces the amount of work required by the developers the engineers to get there. So, I'm expecting you're going to see more of this, right. I think you're going to see more and more of these multi connected services by AWS, that has a lot of the AI ML pre-configured Data Lakes, all that kind of stuff embedded in those services. So you don't have to do it yourself and continue to go up the stack. And we always talk about Amazon's built for builders, right? But, builders have been super specialized and are becoming, as engineers were being asked to be bigger and bigger and to be be able to do more stuff and I think these kind of integrated services are going to help us do that >> And certainly needed more now when you have hybrid edge that they're going to be operating with microservices on a cloud model and with all those advantages that are going to come around the corner for being in the cloud. I mean, I think there's going to be a whole clarity around benefits in the cloud with all these capabilities and benefits. Cloud Guru I think it's my favorite this year because it just points to why that could happen. I mean that happens because of the cloud data.(laughs) If you're on-premise, you may not have a little Cloud Guru. you are going to get more data but they're all different. Edge certainly will come in too. Your vision on the edge, Chris, how you see that evolving for customers because that could be complex, new stuff. How is it going to get easier? >> Yeah. It's super complex now, right? I mean, you got to design for all the different edge 5G protocols are out there and solutions, right? Amazon's simplifying that. Again, I come back to simplification, right? I can build an app that works on any 5G network that's been integrated with AWS, right. I don't have to set up all the different layers to get back to my cloud or back to my my bigger data set. And that's kind of choking. I don't even know where to call the cloud anymore. I got big cloud which is a central and I go down then you've got a cloud at the edge. Right? So what do I call that? >> Brian: It's just really computing.(laughing) Exactly. So, again, I think is this next generation of technology with the edge comes right and we put more and more data at the edge. We're asking for more and more compute at the edge, right? Whether it be industrial or for personal use or consumer use, that processing is going to get more and more intense to be able to maintain under a single console, under a single platform and be able to move the code that I developed across that entire platform, whether I have to go all the way down to the very edge at the 5G level, right, or all the way back into the bigger cloud and how that processing in there, being able to do that seamlessly is going to allow the speed of development that's needed. >> Wow. You guys done a great job and no better time to be a techie or interested in technology or computer science or social science for that matter. This is a really perfect store. A lot of problems to solve, a lot of change happening, positive change opportunities, a lot of great stuff. Final question guys. Five years working together now on this partnership with AWS and Accenture. Congratulations, you guys are in pole position for the next wave coming. What's exciting you guys? Chris, what's on your mind? Brian, what's getting you guys pumped up? >> Well, again, I come back to Andy mentioned it in his keynote, right? We're seeing customers move now, right. Five years ago we knew customers were going to do this. We built a partnership to enable these enterprise customers to make that journey, right? But now, even more we're seeing them move at such great speed, right? Which is super excites me, right? Because I can see... Being in this for a long time now, I can see the value on the other end. We've been wanting to push our customers as fast as they can through the journey and now they're moving. Now they're getting the religion, they're getting there. They see they need to do it to change your business so that's what excites me. It just the excites me, it's just the speed at which we're going to to see the movement. >> Yeah. >> Yeah. I'd agree with that. I mean, I just think getting customers to the cloud is super important work and we're obviously doing that and helping accelerate that. It's what we've been talking about when we're there all the possibilities that become available, right? Through the common data capabilities, the access to the 175 somewhat AWS services. I also think and this is kind of permeated through this week at Re:invent is the opportunity, especially in those industries that do have an industrial aspect, a manufacturing aspect, or a really strong physical aspect of bringing together IT and operational technology and the business with all these capabilities and I think edge and pushing machine learning down to the edge and analytics at the edge is really going to help us do that. And so I'm super excited by all that possibility because I feel like we're just scratching the surface there. >> It's a great time to be building out. and this is the time for reconstruction, reinvention. Big theme, so many storylines in the keynote and the events . It's going to keep us busy here at SiliconANGLE on theCUBE for the next year. Gentlemen, thank you for coming on. I really appreciate it. Thanks. >> Thank you. All right. Great conversation. We're getting technical. We're going to go another 30 minutes A lot to talk about. A lot of storylines here at AWS Re:Invent 2020 at the Accenture Executive Summit. I'm John Furrier. Thanks for watching. (upbeat music)

>> Voiceover: Live from Las Vegas it's theCUBE covering AWS Executive Summit. Brought to you by Accenture. >> Welcome back everyone to theCUBE's live coverage of the Accenture Executive Summit here at AWS re:Invent. I'm your host Rebecca Knight co-hosting alongside of Donald Klein. We have two guests for this segment. We have Brian Bohan, he is the Director of the Accenture Amazon Web Services Business Group Global Lead at AWS, and Chris Wegmann, Managing Director Accenture Amazon Web Services Business Group. Oh my word (all laugh) how big are your business cards? >> Exactly >> Well welcome for both of you Thanks for coming on the show. So the relationship between AWS and Accenture is now in its 13th year. I want to hear from both of you, what's new what's exciting about the relationship and I'm going to start with you Chris. >> Yeah, so it's been 13 great years. Four years since we used the AABG, we use the acronym to make it easier to say >> Rebecca: Okay, thank you, and now you tell me. >> The Accenture AWS Business Group. So the partnership continues to get stronger, continues to grow, we've doubled down on the partnership this last year, really increasing our investment and our focus. We've done in the last year really a lot of focus around industries. So we continue to build our teams we continue to grow on the number of certified resources we have. And our clients are just eatin' that stuff up. So it just gives us more opportunity to grow. >> Ryan? >> Yeah, I mean I think you can see, it's consistent with what you see here at the event and also with Andy's keynote. The emphasis on enterprise and as we see large enterprises really accelerating to AWS, I think that's what we're seeing as well. At any given time we have hundreds of projects going on around the world, but when we formed the business group in 2015 it was really around driving really large transformations with customers and what we're seeing now is customers at the place of maturity and willing to take, embark on those journeys and I think we're really well set up to make that happen together as a partnership. >> So as you kind of enter into this new phase now of kind of working with companies, are you seeing any kind of increasing specialization in the types of companies you're working with? >> Yeah, no absolutely. So I think that's why the answer's really exciting. So I think if you look across this is fairly typical. We started out in a lot of horizontal capability areas and they're still incredibly important to us around data and SAP, mass migrations and these are areas we continue to invest in and we tend to get even more specialized as we do so, but we're also seeing this last year is getting more industry focused. So as we move up the stack and we start talking about cloud native development, we start talking about machine learning and analytics, customer care has become a really interesting thing. So you see a lot of companies, whether it be tire companies, CPG companies, moving from products companies extending into services, it completely changes how they think about customer care and how they need to understand their data and understand their customers. So necessarily as you move up that stack, you have to have that deep domain expertise and so what's fantastic is we have great technology, we're building out some teams with domain expertise, but Accenture has got thousands of people with this expertise. So it's again this kind of combining of strengths that we're able to bring to the table for our customers. >> Yeah we saw when we started the group, we knew Accenture's strong position in industries, right. Our deep industry knowledge, knowing those industries really well we knew they would come together at some point, the technology and industry. And we've seen that over the last 12 months really start to take effect. Companies are now specifically thinking about how they leverage Amazon for their specifically industry solutions and capabilities, and we're just going after that. >> So Andy Jassy in his fireside chat this morning talked about innovation at AWS and he said, we're a big company but we need to think of ourselves as a big startup. So here are two big companies, how do you innovate together what is your relationship like? I mean you said it's 13 great years, but what's your creative process? >> So I'll take a stab. So first of all, I'll say that in recognition of that we actually on our team, and this year into some light of and Chris mentioned a doubling down the partnership, we're growing the team we have on the AWS side to support the partnership. And with some of the things we're doing in addition to adding industry folks, is I've added a full time team to focus on innovation. And it's innovation with customers but it's also all the mechanisms we use. So if you think about with AWS, a lot of customers come to us and want to understand how does Amazon innovate, what is our culture of innovation? So at Amazon we have a program that we've rolled out around that. Accenture also has many mechanisms around innovation. Small teams driving very agile projects, and it's our job, that team's job and my team to go around and pull the best of breed across the world and make sure that we're delivering that to clients every single day. And so more and more clients want to see not just the outputs, but they want us to imbed in their teams and also show them by doing. So yes, give us the deliverable but we want to build the muscle around what Accenture and AWS can do together around innovation. So that's more and more what we see. >> Yeah and we follow the Amazon principles, right. The principles that Andy talks about that are core to innovation there, we follow them. From the beginning when we started this partnership we started working backwards, what we wanted it to be in five, ten years and we follow those. So our teams act that way, they work that way, they follow those day to day out and it makes us, it allows us to integrate well into AWS into the AWS people around the world. For Accenture it gives us, our people a insight into how AWS does it, and then we can share that with our customers as well. >> Interesting, so Chris you've been doing this a long time. Right, okay and so, and you guys have been collaborating for a long time, when Amazon first started there was a whole new breed of companies they were coming out, we'd call kind of born in the cloud. Companies that were agile and fast moving, taking advantage of a lot of the technology stack to do things that a lot of legacy companies couldn't do. Now we're starting to see what has been termed kind of companies being reborn in the cloud, right. Older, leg--, you know older companies now that are transforming moving their workloads to the cloud and then getting new types of capabilities. I'm wondering in your work, are you seeing some examples of companies that are kind of undergoing that kind of transformation? >> Yeah absolutely. I think we see what we would call an epic disruption of these companies right. It's happening, it's been happening for awhile. I think they've gotten, they've looked at Amazon now more as not just a cloud, and not just infrastructure, going up the stack and doing that. So they're going through these transformations and we see them balancing between moving their workloads to AWS versus innovating. And also changing, they've realized they have to change the organization to go along with that. It's just not moving and acting in the same old way so we're seeing agile and cloud come together to drive that transformation. So I would say almost every customer we're seeing today is going through that transformation in some form or fashion >> Yeah, I would say that's also a really interesting change Again, years ago we were, if you were focused on a mass migration today, the conversation is if you're a pharmaceutical company how do you get your pipeline of therapeutics out to market faster, right? How do you start thinking about patients differently or patient services, the data you have on those patients how do you integrate further into the value chain and to providers and payers and get that information. So, and what happens, what you find is to be able to deliver say precision medicine and pharmaceutical you need to rethink about your data, then you have to look at your application portfolio and say, okay what does that need to look like to support this completely new paradigm serving our patients? And that's what ends up pulling the workloads through to support these new business initiatives. So I think that's a bit of a difference that we've been seeing as well in the last couple years. >> One of the messages we're hearing is that journeys of the cloud really represents the fourth industrial revolution. I'm wondering, in terms of the pace of innovation are there any new technologies that maybe even just from a couple of years ago that are just table stakes today? >> Yeah no, I think the table stakes, AI and ML are quickly becoming table stakes, right. And that's what I love about AWS, they make the stuff easy to consume. Right, SageMaker and that stuff. Last year I was able to go in through DeepRacer and going through that I was able to do a model in 30 minutes. I don't do a lot of coding anymore these days, but on a plane I was able to create my first model. And so that stuff is becoming table stakes. They're making it very easy, so there is no excuse to not do ML or AI in your application. I don't need a separate set of data scientists sitting off to the side. So that to me, and data in the cloud, right. So the data being there so I can consume it in AI and ML that's table stakes, there is no more hey, I'm just only going to put what I don't care about, or what I want to low cost data store, it's table stakes to have that data there, accessible to your people 24-7. >> And what does that mean for your workforce? Because as you said, these are now basics. You need to know how to use these tools and be willing to experiment with these technologies. How do you make sure your workforce has the right skills and the right mentality and approach? >> So one of the things I talked a little bit about DeepRacer last year when DeepRacer came out, I was sitting there kind of scratching my head and saying, what is this, right? It's a glorified RC car. And one of my team members was texting me and saying, we've got to do this. And what that, we've run a private league, and what that's done is it's taken well over 1400 people who never knew what machine learning, R-reinforcement learning was and got them engaged in doing it. So now they've got that experience, they're now hungry for more knowledge through a fun activity, a competition. You know we're all very competitive people at Accenture, so that was just, it caught on amazing, it was amazing just around the world at how these people took onto it and why our employees took onto it. >> Yeah, the person who won that league, so it was across 30 different innovation centers at Accenture, plus hundreds of people virtually building cars, and the guy who won it out of Kronsberg, Germany had never touched AWS the day before. And I dunno if this is true, the story's great, he supposedly wrote his model on the train to the innovation center that day, he ran the model and came up like four one hundredths of a second off the world record. So great example, yeah, of somebody who wasn't in the AWS kind ecosystem at Accenture, got turned on my this new technology, this new capability, dove in and now he's enabled, right. And we talk about innovation, so innovation is also like I said, not just what you're delivering for the client but how you're doing it. So that same team actually who started the DeepRacer league down in Australia, they've been creating what they call a hackathon as a service. So working with customers, not just doing slideware and going through courseware, but getting folks in a room like this and you've seen it here at the event, have a business problem that you want to solve, get a bunch of people in a room, business people, technology people, and hack away. In a low risk environment that's collaborative where you can share and you're learning by doing. So we're seeing a lot of that, and so you've got to really, like think of new ways that you're going to enable the workforce especially if you hope to scale this. >> So one of the things obviously that Accenture brings to the table, AWS got a global platform but you're a consulting firm with global reach. And everybody wants to use data in new ways but how you use data in different regions and different localities can vary. So how are you working with customers to be able to kind of enable that? >> Yeah, so obviously a lot of different regulations, country by country, and they're changing very rapidly so we have to stay on top of it. One of the things we've done is through our we formed a state of business group last year. We've completely focused on data. Includes AABG folks, Amazon folks, but they're very regionally based. So we stood up a lighthouse here in North America, in New Jersey, and the experts sitting in that are very well versed in what North America or the US is doing around data privacy and security and things like that. So they're taking what they learned, the same thing, we opened it in London last, a few weeks ago in Canada, other places. So we're definitely taking a regional focus but we're making sure through the partnership that the techniques, the tooling, the capabilities are being pushed down into those groups. So they're taking all that experience and that knowledge but putting a local slant to it and making sure it's locally compatible. >> Yeah, I mean what's interesting too is you talk about, I mean data we're seeing this take off in every industry and it's so critical, but two of the areas that the data business group is seeing the most traction actually are financial services and life sciences pharmaceutical health care. So you would think, those are two of the most regulated industries in the world, extremely sensitive data, you wouldn't think those would be the ones out in front but they are, and because there's so much value to be had. So even in Europe, working with pharmaceutical companies there together, and their R and D process around patient services and being able to use native data lakes on AWS, use machine learning to gain new insights in terms of how therapeutics are working on patient populations, right. And so this is again, very sensitive information but hugely valuable, and Accenture through this business group has all the capabilities so that we can have the best of both worlds, right. And have it accessible, analyze it in AWS but have it secure as well. >> And a lot of research show, actually the constraints can power innovation. The fact that it, because it is so sensitive and there are these regulatory concerns around it that that in fact enables people to be more, they're forced to be more creative. >> Yeah, and it's the old, you know cars didn't go fast until they put brakes on them, kind of a thing, right. And we see that, absolutely. And I think that sort to thing is, big enterprise customers, they want to move fast but they're public companies, they have to ensure that they're mitigating risk. So again we're investing a lot in moving fast but doing it in a way that controls risk and is able to kind of give them the assurances that they need. >> And definitely the platformed has helped, right. Amazon investing in that platform, bringing the tools like you saw on Andy's keynote, some things around the S3 bucket, you know those type of things. Those are enabling, and those regulations, us to deal with those regulations much faster and less work on our side to build the things that are need to meet those regulations. So definitely the platform growing and expanding is definitely helping us go faster. >> That's a great point, right. I mean because also if you have, you know whether your data, your applications in your on-premises environment chances are you don't have the granular visibility that you would like into that environment, whereas you move it into AWS, you have all these tools to really get as granular as you want and really understand your environment and make sure that you have control over it. So it really creates a new paradigm for that. >> One of the things that really struck me during Andy's keynote yesterday, Andy Jassy's keynote, was the fact when we was announcing all these, this dizzying number of new products and services >> Brian: I'm not sure how he does that (all laugh) >> I know, just how many of them rely on the technology ecosystem to be successful. So can you just riff on that a little bit about how really the landscape for technology has changed so dramatically in the sense that all these companies need to cooperate and collaborate, and here we are. You two, you're a living and breathing example. >> Absolutely, you know I think you'll hear Andy say it, is the right tool for the right job. AWS, we're very much about giving customers choice. So there's a lot of options and you know we went through all the different database options that we have. So they're very specific to specific use cases. Now that also implies that you have to know which tools to use for the right job and you have to have very skilled craftsmen. So that's where we rely on partners like Accenture who have those skilled craftsmen, in addition to our own to really extend that. And then you look at the ISV ecosystem, right and some of those ISVs and our technology partners who've done an amazing job of taking our capabilities but then extending them further into whatever domain that they're very expert in, and there's a very specific IP delivers extra value to their customers. And so that's what, we want to give all this choice, whether it's a customer, or a technology partner, a consultancy like Accenture can really thrive. >> And I think if you walk through the show floor you see what these companies are doing. And they're not afraid to innovate and they're not afraid to take on some of the bigger challenges out there because they don't have to invest in the platform underneath. They're able to start with something that's solid, known, recognized by the market, right. No one is going to get in trouble for building something on AWS. So they're taking that and taking the next level and you're right, the partnerships between 'em we see if you just walk down there, you see them talking, you see them collaborating and saying, oh well I'm doing this, if we integrate this, can we do this differently? So you know I think we're only going to see more of that. And we're going to see it more industry focused, coming back to what we were talking about earlier. We're going to see more things stand up in the industries. We've seen this with FinServ, we've seen this you know but I think across all the industries we're going to see more of this collaboration. >> Yeah, I agree, in fact I have someone on my team now that's new this year to focus exclusively on we'll call the power of three. So it's AWS, Accenture, and plus a technology partner. And so if you go in the Executive Summit, Salesforce being a really obviously example, right. Accenture's got very large successful Salesforce practice very important partner of AWS's, how can we come together and drive more value for our customers by figuring out solutions. You know we announced at Dreamforce, the connect integration with Salesforce that's a perfect example, right. So the end-to-end customer care I talked about earlier, even more powerful, we can bring that power of three together. >> So going into the 13th year, lucky 13 (laughs) what are some of the things we're going to be talking about at next year's Executive Summit? What are some of the things you're most looking forward to in the coming year? >> I have to say machine learning and AI. And I have to say Outposts is probably the third of my, I think I live the quantum computing stuff, and Accenture has been doing a lot of research and a lot of work in quantum computing. We were super excited to see what was announced, I guess Monday, and so we're super excited about that but I think that's a little farther out. I think the ML, the AI, the new things in SageMaker are super exciting and I think are only going to make that stuff go faster. So I think that's all we're going to be talking about next year I think we're going to be talking about all the new models that have been created, all the new problems that have been solved, and just a new paradigm in computing off of that stuff 'cause it's getting simpler to use, faster to use, and cheaper to use so that's what I'm most excited about. >> Yeah, I mean I think it's just, these announcements yesterday just continue to remove barriers, and so you think about the announcement with Verizon around 5G, so now the possibilities that opens up in terms of the applications and the analysis and the machine learning that can get pushed down to the edge is really amazing. And I think what's going to be fun is, we work with customers to figure out what these services should look like, but even at launch we're not sure how they're going to be used. So now it's going to be really exciting turning all these developers, all the Accenture developers, loose on this and just let's see what we create together. >> In 2020 all the developers are loose, I love it. (all laugh) Brian, Chris thank you so much for coming on theCUBE again. That was a really great conversation. >> Well, thanks for having us >> Thanks for having us >> I'm Rebecca Knight for Donald Klein. Stay tuned for more of theCUBE's live coverage of the Accenture Executive Summit coming up in just a little bit. (electronic music)

>> Live from Las Vegas, it's theCUBE, covering the AWS Accenture Executive Summit. Brought to you by Accenture. (echoing percussive music) >> Welcome back everyone to theCUBE's live coverage of the AWS Executive Summit, here at the Venetian in Las Vegas, I'm your host, Rebecca Knight. We have two guests this segment, we have Brian Bohan, the AABG global business lead at AWS, and Chris Wegmann, welcome back to theCUBE, managing director Accenture AWS Business Group. Thank you so much for coming on the show. >> Thank you for having us. >> Thanks for having us, yeah. >> So I want to start with you, Chris. It's been three years since Accenture and AWS announced this relationship, bring us up to speed on what's happened in those three years. >> Yeah, it's been a fast-paced three years. We've seen AWS continue to mature the platform, grow their number of services, we've seen our customers go from looking at just lift and shifting workloads at AWS, to now doing full cloud native services, machine learning, containerization, all the really cool stuff they can do on the platform. So for the business group, we've gone through that journey and that maturity as well. We started very focused on things like lift and shift migrations, and cloud management, and investing in assets and capabilities, now to really focus on innovation, and helping our customers drive the innovation on top of that platform. >> I want to get into that, but you've also recently said you're going to continue to expand this partnership, Brian-- >> Mhmm. >> And so what does this mean? >> Yeah, I mean just kind of keying off some of the things Chris talked about, right, is that, and I think we've talked about innovation specifically, really where we're going to focus, and we're also going to talk about vertical and industry solutions, which I think we'll talk about a little bit later. But, even if we looked at where we've had a lot of success in the mass migrations, moving enterprise applications like SAP to AWS, what we're seeing now, customers are in their maturity curve, where they're there in the cloud, and now they're asking what can I do? Right, so I have SAP, I have my core systems in the cloud, and so we're investing heavily, as Chris mentioned, in some of the modern technologies, so application modernization, cloud native development. Andy in his keynote today talked a lot about database freedom, so now that you're in the cloud, how can we start looking at your database portfolios, start using some RDS or Aurora, some other native AWS services. So, these are way that we can innovate with our customers that you maybe typically don't think about, but are critically important, and I would say on the other side, and what Chris mentioned as well, is the investments we're making in machine learning, and in AI, and in analytics, and edge computing. And then really at the core of that is data, right. And what we find, with these kinds of projects, is you need to move very, very quickly, and you also need to prove out the concepts. So these are two important things, and so what we're doing is a big investment in the partnership, is investing something we call Launchpad. So this a mechanism in Amazon parlance, we can think about it as two pizza teams, so several nodes of two pizza teams around the world, and these folks are 100% focused on driving innovation, and driving POCs, and pilots, and prototyping, and asset development, in the innovation areas around AWS machine learning, analytics, connect, so new modern customers care capabilities. So that's really important, and then, kind of related to that, very closely, is our innovation studios. So these team will be located across the world, some of them in or around liquid studios that Accenture has. So the innovation studio is a place where we can bring clients to get together, and we can execute on working backward, and ideation, and design thinking sections, so we can take it from an idea to actually a concrete, implementable set of requirements, and then use that Launchpad team to execute very quickly. So this is something we're really excited about. >> So interested, you bring clients into the studio. Now, why is that so important, to get everyone in the room together? >> Now I think what we've seen is it gets them out of their day-to-day environment, right? And in an innovative environment, where they can go through that innovation process, come up with those ideas, and then very quickly see them in reality, versus sitting and writing a bunch of requirements down and things like that. So the whole design thinking process and going through that, we find works very well, in a very innovative studio type format. >> So how does it work, I mean a client comes-- >> Yep. >> You're together, Accenture, AWS, together, with the clients-- >> Yep. >> saying what are your problems, and so how do you help them learn to think expansively about what their biggest challenges are? >> So we start with some design thinking workshops. So thinking about what they're trying to achieve, not the technology, right, we get the technology, but what they're trying to do, how they want to think about the problem differently, and we do the working backwards. So, idea is, where do you want to end up, either press release, or something like that, that documents where they want to be. Then we work backwards, at leverage the design thinking, and then going to the idea-zation phase, look at what will work, what might not work, and then how technology, we can use the AWS technology. So the technologists are there, they say, "Oh if we can go use these three services "off the platform, we can actually deliver this," and take advantage of this data that you may not have had before to help to answer that problem. >> And the technologists are also saying, "If we can leverage these three existing technologies, "we can also build some more stuff." >> Yeah, and I think Andy was again hitting home, the right tool for the right job, and as Chris mentioned, we don't start with the technology, we really start with the problem. And what's really cool about this is that Accenture's gotten very mature and developed and deep capabilities through their digital practice, around design thinking, working backward. And when folks come visit Amazon, one of our most popular EBC or executive briefing sessions, is around Amazon culture, and how does Amazon innovate. So we programatize that, as well, into our working backward methodology, that we work with clients, and what we've done is we've married these two things together. So, we're able now to bring the best of both worlds, and help our customers through that journey, getting from idea to actual realization. And then, as you saw, we now have I don't know how many services, 130 plus services, there's plenty of things in the bag that our technologists can then start working together with the clients to solve those problems. So it's really exciting. >> How do we innovate, that's sort of the question of the hour, the question of the era. At a company like Amazon that is now so big, but still is famous for it's start up mentality, and it's ability to innovate and deliver products that customers don't know they need, until they until they (Rebecca laughs) have them in their little hands, how do you do it? I mean, what is the secret sauce? >> So, I mean, there's a few things, and I don't have time to talk about all of them, but I think culture, we've talked about it a little bit, is hugely important, and you just can't graft on or import culture. You saw Guardian's CIO talk today how important it was. They didn't start with technology to cloud, they started with actually redesigning their work spaces and how their teams work together, that's super important. So at Amazon, we work in what we call two pizza teams. So every team is fairly autonomic, fairly small. They interact with other teams, but they can make decisions autonomously, and move fast. And then the other thing that we reward moving fast, is if you're going to move fast, you're also going to make some mistakes, you're going to take risks, you're going to experiment, and you're going to fail. So Jeff Bezos always likes to say, if you're not failing, then you're really not innovating. Right, so we want to controlled failures, and we want to make sure that when we are failing, it's what we call a two-way door, meaning that if we fail, we can come back through the door, and do it again. We haven't committed ourselves down a path that we can't retreat. So, you know, again, small teams, our culture, a culture that also rewards risk-taking, controlled risk-taking and failure, and that's also I think why getting us in the cloud is so important because now we have a platform where you can spin up nodes to run your analytics and your machine learning. If it's wrong, it doesn't work, you just tear it down, and that's it, you start over. So, it's a great platform for that as well. >> Chris, what have been some of the most exciting new business ideas, models, approaches, that you've come up with; we're having a number of really fascinating guests theCUBE, what personally excites you most? >> Yeah, I think one of the things is the research life science cloud and then some of the work we've done with AWS and marketed around that. To bring the research all together to make the researchers jobs much easier, bring all that data together and get the value out of the data. I was amazed when I first got involved in that and didn't realize how much time was spent just duplicating data across different systems during the research process, and I thought that's a lot of waste of time by very, very smart people, just coding data, and by us being able to do that, it just opens up the possibilities of what research can do. And it's all about saying how can we help lives to be better, and that's something that's really doing it. Other thing is just, customer interaction. So, one of the things I've talked about and have been very excited over the last couple of years, was you know Amazon Connect, future next generation call center capabilities, again, like Brian said, as a service, you can step up it up very quickly. You don't have to go and buy PBXs and install them and go through that whole, and the the 360 relationship that you can build with those services, that customers are demanding and asking for, right? You can go into organizations that have not been known for great customer care, and now within a few days, and do 360 type customer and omni-channel, and pass off chats, and stuff like that. You know, all the things that Amazon themselves, as dot com business, are famous for, right? And they can, they can get there. So you know, those things just excite me, and I see the clients get really excited when we go and sit down and talk about that stuff. >> And how are they measuring the ROI because I mean, as you said, at a company like Merck that is doing life-saving medicine every day, it's kind of obvious, but at a company that maybe is not good with customers, and then to suddenly have this more customer-centric call center, it really can change things. So how are they measuring what they're getting out of this? >> So they're measuring the sentiment of the customers, right, which Amazon can help you do too, right? You know, so really understanding how satisfied the customers are, they can tell by the way they're talking to the reps, and listening to the recordings, and stuff like that. And see how angry they get, and how much that reduces over time, and really get there, right. They're looking at customer satisfaction, of course. >> Yeah. >> Right, and almost every call center finishes up with some type of survey, right? So looking to see how those surveys have improved. They look at call volumes, they look at how many they're able to answer via chatbot, or via text, and things like that, and how many of those a customer care rep can do at the same time. When you're on the phone, usually you can only talk to one person, but a customer care rep might be able to take four or five calls at the same time, via chat, and be able to help customers which reduces the time waiting on the phone, and the less time you wait on the phone, the happier the customer is. >> Brian, last word, what do you think we're going to be talking about at AWS 2019. >> So I think if you look at the trend that we're seeing, so as we move more into the innovation services, what also is true is that we're getting increasingly focused on industry problems, right, and Chris already mentioned one with life sciences and the research life science cloud because it's sort of a migration across industries, with some variances, but when you're talking about deep applied learning and analytics, it's going to be very specific. So I think what we're going to see next year, is a lot more things like the research life science cloud across industries, right, so we're diving deep in financial services and capital markets, and banking around things like money-laundering, and anti-fraud platforms, right? We're working across over into PNC, and insurance, on kind of completely new ways to have customers think about how they engage with their PNC insurance companies. So, as we dive deeper into this, and as we apply a lot of these up the stack innovation services, I think we're going to see a lot more really compelling, exciting business solutions specific to industry problems, and I'm just super excited about that. >> Great, well we're looking forward to seeing you >> Yeah, yeah. (Rebecca laughs) >> here again. >> I'm sure we will. >> I'm looking forward to it. (Chris laughs) >> We'll be here. >> Chris, Brian, thank you so much for coming on theCUBE. >> Thank you. >> Thanks for having us. >> Appreciate it. >> I'm Rebecca Knight, we will have more of theCUBE's live coverage at the AWS Executive Summit coming up in just a little bit. (bouncy percussive music)

>> Live from Las Vegas, it's theCUBE, covering the AWS Accenture executive summit. Brought to you by Accenture. >> Welcome back everyone to theCUBE's live coverage of the AWS executive summit, I'm Rebecca Knight, your host, we're here at the Venetian in Las Vegas. We have two guests for this segment, we have Mike Moore, Senior Principal Accenture Research, and Chris Wegmann, Managing Director Accenture AWS business group, thank both you so much for coming on theCUBE, and you for returning to theCUBE. >> Thanks for having me back, it's good to be back. >> So Mike I want to start with you and talk about your recent research which is entitled Discover Where the Value's Hiding: How to Unlock the Value of Your Innovation Investments. I like it, 'cause it just makes me think that innovation's just hiding somewhere in the corner, maybe underneath this desk. So talk a little bit about why companies can't find the innovation, and how they're failing at this. We'll get to the rays of hope later, but talk a little bit about what the problem is as you see it. >> Well, it certainly seems to be hiding for a lot of companies. Based on the research that we did, we found that over the course of the past five years large income companies like our own, and then also start-ups, have spent a combined 3.2 trillion dollars on innovation, which is obviously a huge sum. But when we looked at the rate of return on that investment, incumbent companies, we found it was actually declining by 27% over the course of that five year period. So there's a clear disconnect there in terms of what companies are doing. >> So, why are companies, why are so many companies not good at this? >> Well, we asked 840 executives from around the world exactly that question. And what we found is that for the vast majority of them who have been increasing their investments in innovation, they weren't seeing a great return, and what we found is that many of them were focused on incremental innovation, just small tweaks and adjustments to their products and services. But that's really not enough to get new customers in this day and age. But there was some reason for optimism, around about 14% of our respondents said that actually they were translating their investments in innovation into accelerated growth, they were outperforming their peers in terms of profitability, in terms of their market growth and they actually expected to continue to do that over the course of the next four to five years. >> So, I want to talk about that 14%, that rarefied group, but I want to bring you into the conversation Chris and just talk a little bit about the relationship between Accenture and AWS, and how you approach innovation, and how you help clients think about their innovation and driving ingenuity and creativity in their businesses. >> So Accenture and AWS have been partners for over twelve years, even before the first AWS service hit the market, Accenture was starting to use it in our labs at that point, and looking at how we could leverage S3 to really innovate on, and we've carried that tradition on for a while now. A couple years ago we sat down and really looked at what our enterprise customers were struggling with as they moved to the Cloud, and at that point innovation wasn't quite the topic yet, it was really how do we use Cloud to get better returns on our investment, better TCOs, things like that, and now we've seen that turn, as AWS has created more and more capabilities and solutions and offerings, our customers are really wanting to figure out how they innovate. They go and ask AWS "How do you innovate?" And that's their number one, one of their biggest EBCs is how do they innovate. So, we looked at it and said, that's great, how do we take that to the next level? How do we fix these failures that're happening and what we've seen is most customers are in this stop and go innovation traffic, I like to call it. There's people that're whizzing by them, the 14% are whizzing by them in the fast lane, so the question is how do you get them out of that stop and go traffic, into that fast lane, and, There's no lack of ideas, they have tons of ideas on how they can innovate, how they can use drones, how they can use all this. The ideas are out there, but taking those and turning those into operationalized assets that're continuously working, continuously growing, continuously maturing is where they struggle. >> And the question, when companies would ask you how do you innovate, I mean it is this question, but as you're implying it sounds as though it's a very, you have to have some discipline around it, there has to be real processes around the innovation, it's not just throw a bunch of creative people in a room together. >> No, that's great, you can do the creative people and they come up with the great ideas and there's no lack of those, but then you've got to operationalize those and go through the disciplining to take those, pick which ones are going to drive value, invest in those, operationalize those, and take them from a proof of concept or a pilot or whatever you want to call it and actually turn it into something that gets used every day, and what we've been focusing on with AWS is how do you get out of that, take what's out of that ideation stage, operationalize it using the full set of AWS services, and then how do you continue to run that and prove it going forward. >> So Mike, the 14%, what are they doing? What makes them different? >> Well I think there's lots of things that stand out, but there are really three things that came of the research, so firstly that group of companies is outcome led, as you were just saying, they're not just relying on the method, the genius in the garage tinkering away, but they're putting a real set of processes around the innovation activities that they're pursuing. Then they're linking those activities to clear operational and financial metrics. And then secondly they're disruption minded, so unlike the other companies that aren't performing well, they're really focused on investing in disruptive technologies that have the potential to create entirely new markets. And then finally, they're change orientated, so they're not just using innovation to develop new products and services, but they're also using it to drive more fundamental change across their organizations. And one of the principle changes that they're making is that they're becoming what we call network powered, so they're not just relying on their own internal innovation but they're drawing on a wide ecosystem of partners, like AWS, to really supercharge the rate at which they innovate. >> So those are the characteristics, what are you seeing on their ground, can you give us some specific examples of how they're taking those characteristics and what they're actually doing? >> I think you see companies set up and grow these innovation pods, so what we see customers doing is expanding those beyond just one pod. So, not just focusing on one part of their organization to do this, bringing that into a central location, creating a hub of pods and capabilities using everything, AWS services, using DevOps, doing all the cool stuff that's out there, but operationalizing that and getting to that center of excellence where they're actually seeing it end to end and they're not just jumping from one problem to then next. And once that graduates out, they have an organization waiting to take that on and continuing that journey while the next set comes in. So it's this process, it's this ongoing kind of chain of different problems coming in, being solved, and graduating out the other end. >> Is this a technology issue or is it a culture issue? >> The technology is there, I don't see it as a technology issue, I see it as a cultural issue, a change issue, a organizational issue, a resource issue, you got to find the talent that does that, you got to have the operational discipline to lead this stuff, and you have to go through that change. And we're seeing I think a lot of our customers struggle with that, and they want to learn how Accenture's done it, they want to learn how AWS has done it because obviously they've been very successful at it. >> And in terms of the cultural, the change management challenges that you're talking about, those are harder to overcome. So, do you have any best practices from your own experiences with it? >> We've obviously, Accenture's been in this game for a long time, whether it's innovation or whether we called it solution integration, whatever we called it, change was always a big part of that. So, a lot of those same change principles that we've used for twenty, thirty years still apply here. We see, you need very top down ownership and sponsorship, so from the very top down, whether that's the CEO, the CDO, the CIO, whoever it is they have to be 100% behind this, and have to be the cheerleaders. They have to be the people that're going to go get on stage, at re:Invent or other conferences and be that, this is how we're going, so you need that lead, and then you need very strong leadership underneath it that have gone through the journey before, this isn't the first time they've done it, they know where the potholes are in that road, they know what the signs are when they're going down the wrong way and how to get out of that. So you got to have those two key levels of experience. >> And to bring the others on-board. >> Absolutely, and they have to be the visionaries, they have to be the people guiding them through that, and you know, if you've got those people, if they're very strong-willed, very luminaries, those people will follow, and they'll follow them through that journey. And then they also got to go sell that to the rest of the organization, 'cause it's a change for the rest of the organization, the business is now much more engaged in that process, they're not just sending the requirements over the fence, they're very much engaged, they've got to understand and go through that agile transformation and understand when they're getting capabilities, what those capabilities are, so they need to go through that new operational paradigm that we're running in. >> So, finally, we're talking about innovation and then in particular AWS and Accenture, almost as the use cases here, how would you describe the innovation engine at AWS, Accenture in terms of the report that you've just published? It's obviously, I mean AWS is the biggest part of Amazon, I mean the high-growth engine of Amazon, and obviously a huge growth engine for Accenture too, so how would you characterize it Mike? >> Well, I think if we look at the three factors I was talking about before, being outcome led, being disruption minded, and being change orientated, then the relationship between Accenture and AWS really exhibits all of those three things, so in terms of being outcome led, Accenture has always been an organization that's laser focused on delivering results, delivering high performance, delivering value for our clients, and so is AWS. In terms of being disruption minded, we're innovating on the Cloud, using AWS to bring genuinely new and groundbreaking products and services to our clients. One of my favorite ones of those that we worked on in the UK, is our partnership with AWS and Age UK, which is a charity that helps the elderly and we're developing products and services for the elderly that helps them feel more connected to their family, and that's really opening up a brand new market. And then finally in terms of being change orientated, well, it's a relationship that really personifies being network powered and bringing the power there to multiple organizations that we can develop great products and services for our clients. >> Great, well Mike, Chris, thank you both so much for coming on theCUBE, it was a really fun conversation. >> Thanks for having us. >> Thanks. >> I'm Rebecca Knight, we will have more of theCUBE's live coverage of the AWS executive summit coming up in just a little bit.

>> Announcer: Live from the Moscone center it's theCUBE covering AWS Summits San Francisco 2018. Brought to you by Amazon Web Services. >> Welcome back, this is theCUBE's coverage of AWS Summit San Francisco. Here at the Moscone Center West. I'm Stu Miniman, happy to have a distinguished panel of guests on the program. Starting down of the fair side, Steven Jones whose the Director of Solution Architecture with AWS, helping us talk about how AWS gets to market is Chris Wegmann, Manager and Director of Accenture, and then super excited to have a customer on the program Chad Anderson is the IT Director of Operations at Del Monte Foods. Gentleman, thank you so much for joining us. >> Thanks for having us. >> Alright Chad, we're going to start with you, talk to us a little bit about your role inside Del Monte and really the journey of the cloud, something we've been talking about for years, but Del Monte has an interesting story. I want to kind of understand your role in that. Start us off. >> Ya so I oversaw the project for us to migrate everything to AWS. We started off with just needing to really understand if were missing something here. Like, shouldn't we be moving to the cloud and that ended up in a study where we just kind of went threw the numbers, we looked at what the benefits were going to be and it kind of just turned into a obvious choice for us to do it. >> Back us up for a second, give us you know your organization Del Monte Foods and your technology group is this global and scope kind of how many end user do you have? How many sites? Can you give us a little bit of the speeds and feeds of what what was being considered, was it everything or some pieces, what was the impetus for the journey of the cloud? >> Ya, so we have about a thousand users, globally we are mostly in Manila, for our global share services our business back office work is done there and then most of it is U.S. footprint of plants and distribution centers and headquarters, et cetera operations. >> Alright so Chris, the SI partner for this cloud journey. So bring us a little bit of insight, bring us back to you know, kind of what was the business challenge and what was your teams role in helping along those journeys? >> The business challenge was getting Del Monte, getting the heart of their organization SAP to AWS quickly. Alright, there was a short time frame, I learned a lot about fruit packing during the project, but it was about how quickly could we get there? So, when we actually started, we started looking at taking seven months to do the migration of their environment. We really got into it and really got focused on what needed to be done. We looked at a lot of automation, put a lot of automation on the process, a very diligent approach, and we were able to do it, we thought we could do it in four months, and we did in three and a half months so very rapid, and I think as Chad will tell you we really kind of focused on building the right architecture, putting a lot of automation, and then also getting it in there with the right performance and then being able to tune things down, because you can you can move so quickly between engine sizes and memory and it was a really really exciting process to go through. >> Ya, so you said it originally we thought it was seven months, and it was good and done in half that time. That's not my experience with Enterprise Software roll outs. So, what was the delta there? How was the team able to move so fast? >> A lot of it was obviously AWS, being able to spin up the infrastructure, being able to automate a lot of the tasks that had to be done. Alright we did it threw three different environment sets. So we started diligent, moved to test, then went to production, and in each step we automated more and more of the process so we were able to condense the speed of the technical work that had to take place in a really short amount of time. >> We had to treat it also, like a mission critical thing across it wasn't just a infrastructure move it really the application guys were focused on this, we stopped all development of other activities going on. We really just kind of turned everybody and say "Let's get this done as soon as possible "and not be competing with each other." >> When you say stop everything, but of course the business didn't stop, but was transition pretty seamless. >> I mean other projects. >> Ya, ya, ya I understand, but I mean from the cut over and from your users stand point, did it go pretty smoothly? >> Oh definitely, these guys did an amazing job of putting together a plan that was really ready to be executed against. It took some, it took a lot of, I mean on my part it was really just to negotiate the extended maintenance window, but as far as the best compliment I ever got was people were like what did you do? Like I didn't even know that you guys did anything. From day one they took it and ran with it and we were stable. I mean it was pretty awesome. >> A black box, magic happens here and all of a sudden everything is running faster, scaling easier, cost is better, some of those types of thing? >> Ya, cocktails and beach time. >> Steve cocktails? I didn't realize that when I moved my enterprise application to cloud cocktails were involved. >> A few cocktails are involved. >> I mean look, I remember a few years ago where it was like well it's your development will do in the cloud, but I mean SAP has really raised cloud full boar and you know very strong partner, but bring us up to how does AWS help customers make sure that, this is critical things running the business, that it runs so smoothly. What have you learned along the way? What is different in 2018, then say it was even a year or two ago? >> A lot of great questions in there Stu, I would say this is become the new normal. Right? It use to be full disclosure, dev test, training type work loads in the early days but over the course of years we have taking a lot of learning with partners like Accenture and customers like Del Monte and we've taking those learnings and put them back into the platforms, so what you see today is a platform that a partner like Accenture could come in build a lot of automation tooling around, to reduce time frame from seven months down to three and a half. I think it was around two hundred servers, 50 of those were SAP related, and 25 terabytes of data that were moved in a short amount of time. So it's a combination of years worth of effort to build a platform that is scalable, resilient, and flexible. As well as the work that we have done directly with SAP that has gone right back into the platform. >> Chad bring us inside kind of operations on your team. What is the before and after? What's it look like? Was there change in personal or roles or skills? >> We transition services with our migration. So the Accenture team has taking over the long term operational activities as well as helping us through the migration efforts. We had a lot of preparation that was going on besides the server migration that was happening and I think what is really unique about them is because they can deliver these capabilities of the migration they have got a lot of the tooling and the automation is built into the operational mana services model as well. So it's been a much easier kind of hand over from those teams because we are working with the same vendor. >> Most of the time its not just that I've migrated from my environment to the cloud, but how does that enable the new services either Accenture from AWS from the marketplace. What has changed as to how you look at your SAP environment and kind of capability wise? >> It's just incredibly flexible now. It's just one of those situations where we can start small and we can scale so rapidly and it's like I feel like its kind of like walking into a fast food restaurant and just like oh, I'll take one of these, one of these, and one of these. You wait there and the food comes out, it just happens automatically. So, it's a great thing. >> Chris, I remember I interviewed a CEO a few years ago, and he said use to give me a million dollars in 18 months and I'll build you the Taj Mahal from my applications. Today I need to move faster and it's not a one time migration, but there's ongoing I've heard it a time and again there, so where does Accenture, it's not just the planning, where's Accenture involved? What is kind of the ongoing engagement? >> We go end to end. Right? So, we start out with strategy, we start out with a migration. The migration takes planning and execution, but really we focus on the run area as well using our Accenture platform and tooling that we have built. We really focus on how do you continue to optimize? How do you continue to improve performance? How do you govern? How do you do things like quota and security management and that type of stuff. I do think that a lot of our customers start with cloud think I can spin this stuff up, I can run it just like I ran my on premise data center and it's not the same. You go from a capacity planning person to a cost management person. You need to have a cloud architect understanding how you build your applications to be Cloud ready and AWS ready. There are a lot of great services, but if your not taking advantages of those services you can't auto scale, you can't do that stuff. So, we really help our clients go threw that entire process and make sure their getting the most value out of AWS all the way through the run for many years after they have done the migration. >> Chad, do you have any discussion of how are you reporting back to the business as to what were the hero numbers or success factors that said hey this was actually the right thing to do? >> Ya I mean we're a canned food company, so people are very interested in making sure that we are keeping our cost low. Most people from a business prospect want to talk to me about the efficiencies that their seeing and how's that going to show up a reduction in SG and A. We have seen it, I mean when you move to a group of people that can manage a larger set of infrastructure with a smaller group of people and the underline services can be turned on and off, so you only utilize what you really absolutely have. Those numbers show up on our bottom line. >> Steve, any other similar, what do you hear from customers when it comes to SAP, and what is the main driver, and what are the big hero things? >> So in the early days, it was all about cost right, driving cost out of the system. Now it's the flexibility, the ability to move quicker. Chad was relating earlier how you would spend a lot of time sizing environment and now there actually able to right size their environments using purpose built equipment the AWS has built for SAP. It's enabled them to actually reduce cost and move quicker. That's what we are hearing is common theme now these days. It's okay to move faster, to maybe not worry about sizing as much as we use to. >> Ya for future initiatives, I mean it's, there's all these windows of time that are just gone for us to stand up new services whether it's traditional application that needs servers and computer, whether it's SAP services, we are kind of all on that platform now where we can just click and plug in items much easier. >> Chad, what do things like digital transformation and innervation mean to a canned food company? >> We are desperately trying to get in touch of our consumer. So, whether were figuring out how to get improve kind of how we are managing our digital assets, how were managing, our pages on Amazon, or our pages on Walmart.com. We need to be much more in touch and much more consumer focused and a lot of these newer technologies, et cetera there built to run on AWS and we ready to kind of integrate that into our existing enterprise environment. >> Innervation has been a big part of our customers reason for moving to cloud. I'd say 18 months ago, we saw a big transition in our enterprise customers a lot of them were starting off with cost savings, for operational savings, just overall improvement of their operations, and then we seen about 18 months ago we saw a big shift of people very much focused on innervation and using AWS platform as that catalyst renovation. So, the businesses asking for Alexa apps, they're asking for the integration. Well, the SAP data has to be there to support that stuff. Right, and your enterprise tech has to be there, so by doing that it's enabled a lot of innervation in our processors. >> Chad, last question when you talk about innovation, are there certain areas that your team's investing in is it AI, is it IOT, you know what are some of the areas that you think will be the most promising and how do Accenture and AWS fit into those from your planning? >> Ya, I mean IOT is definitely an interesting area for us, and getting to a point where we can measure our effectiveness and our manufacturing processes, those are all really initiatives now that we're starting to focus on, now that we kind of gotten some of the infrastructure related stuff and were ready to kind of build out those platforms. We're talking about scaling out our OE software and our infrastructure its just such an easier conversation to kind of plan for those activities. We turned a three month sizing exercise as to how much IOT did and we think were going to have to process through these engines into a hey let's go with this and if it doesn't work then we'll take it out and increase the size. It really helps us deliver capabilities new capabilities and new types of ways of measuring or helping our business run in a much more effective and efficient way. >> Anything that you've learned along the way that you've turned to peers and say "Here's something I did, maybe do it faster or do it a little bit different way?" >> I think Accenture has been an amazing partner. I think a lot of people are skeptical about running their entire enterprise across the network and once you kind of bring them in and you really let them look under the cover of what you have. One of the reasons we went with them was just the trust and confidence that they had that we could do this. Once I kind of saw that it was like well I mean let's trust the process here. I mean these guys are the experts and so so that's been a big thing is just reach out learn about what people are doing. There's no reason why you can't do this. >> Well Chad, Chris, and Steve thank you both so much for highlighting the story of a customer's journey to the cloud. We will be back with lots more coverage here at AWS Summit in San Francisco. I'm Stu Miniman. You're watching theCUBE. (upbeat music)