>> 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)

>>From around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Okay. Welcome back to the cubes coverage of 80 us. Re-invent 2020 virtual ecentric executive summit. The two great guests here to break down the analysis of the relationship with cloud and essential. Brian bowhead director ahead of Accenture. 80 was a business group at Amazon web services. And Andy T a B G the M is essentially Amazon business group lead managing director at Accenture. Uh, I'm sure you're super busy and dealing with all the action, Brian. Great to see you. Thanks for coming on. So thank you. You guys essentially has been in the spotlight this week and all through the conference around this whole digital transformation, essentially as business group is celebrating its 50th anniversary. What's new, obviously the emphasis of next gen post COVID generation, highly accelerated digital transformation, a lot happening. You got your five-year anniversary, what's new. >>Yeah, it, you know, so if you look back it's exciting. Um, you know, so it was five years ago. Uh, it was actually October where we, where we launched the Accenture AWS business group. And if we think back five years, I think we're still at the point where a lot of customers were making that transition from, you know, should I move to cloud to how do I move to cloud? Right? And so that was one of the reasons why we launched the business group. And since, since then, certainly we've seen that transition, right? Our conversations today are very much around how do I move to cloud, help me move, help me figure out the business case and then pull together all the different pieces so I can move more quickly, uh, you know, with less risk and really achieve my business outcomes. And I would say, you know, one of the things too, that's, that's really changed over the five years. >>And what we're seeing now is when we started, right, we were focused on migration data and IOT as the big three pillars that we launched with. And those are still incredibly important to us, but just the breadth of capability and frankly, the, the, the breadth of need that we're seeing from customers. And obviously as AWS has matured over the years and launched our new capabilities, we're Eva with Accenture. Um, and in the business group, we've broadened our capabilities and deepened our capabilities over the, over the last five years as well. For instance, this year with, with COVID, especially, it's really forced our customers to think differently about their own customers or their citizens, and how do they serve as those citizens. So we've seen a huge acceleration around customer engagement, right? And we powered that with Accenture customer engagement platform powered by ADA, Amazon connect. And so that's been a really big trend this year. And then, you know, that broadens our capability from just a technical discussion to one where we're now really reaching out and, and, um, and helping transform and modernize that customer and citizen experience as well, which has been exciting to say, Andy want to get your thoughts here. We've >>Been reporting and covering essential for years. It's not like it's new to you guys. I mean, five years is a great anniversary. You know, check is good relationship, but you guys have been doing the work you've been on the trend line. And then this hits and Andy said on his keynote, and I thought he said it beautifully. And he even said it to me, my one-on-one interview with them was it's on full display right now, the whole digital transformation, everything about it is on full display and you're either were prepared for it or you kind of word, and you can see who's there. You guys have been prepared. This is not new. So give us the update from your perspective, how you're taking advantage of this, of this massive shift, highly accelerated digital transformation. >>Well, I think, I think you can be prepared, but you've also got to be prepared to always sort of, I think what we're seeing in, in, um, in, in, in, in recent times and particularly in two 20, what, what is it I think today there are, um, 4% of the enterprise workloads sits at the cloud. Um, you know, that leaves 96% out there on prem. Um, and I think over the next four to five years, um, we're going to see that sort of, uh, acceleration to the, to the cloud pick up, um, this year as Andy touched on, I think, uh, uh, on Tuesday in his, I think the pandemic is a forcing function, uh, for companies to, to, to really pause and think about everything from, from, you know, how they, um, manage that technology, their infrastructure, to, to clarity to where that data sets to what insights and intelligence that getting from that data. >>And then eventually even to, to the talent, the talent they have in the organization and how they can be competitive, um, that culture, that culture of innovation, of invention and reinvention. And so I think, I think, you know, when you, when you think of companies out there faced with these challenges, it forces us, it forces AWS's forces, AEG to come together and think through how can we help create value for them? How can we help help them move from sort of just causing and rethinking to having real plans in action and that taking them, uh, into, into implementation. And so that's, that's what we're working on. Um, I think over the next five years, we're looking to just continue to come together and, and help these companies get to the cloud and get the value from the cloud. Cause it's, it's beyond just getting to the cloud attached to me and living in the cloud and getting the value from it. >>It's interesting. Andy was saying, don't just put your toe in the water. You've got to go beyond the toe in the water kind of approach. Um, I want to get to that large scale cause that's the big pickup this week that I kind of walked away with was it's large scale. Acceleration's not just toe in the water experimentation. Can you guys share, what's causing this large scale end to end enterprise transformation and what are some of the success criteria have you seen for the folks who have done that? Yeah. And I'll, I'll start in the end. >>You can buy a lawn. So you, it's interesting if I look >>Back a year ago at reinvent and when I did the cube interview, then we were talking about how ABG we're >>Starting to see that shift of customers. You know, we've been working with customers for years on a single of what I call a single-threaded programs, right? We can do a migration, we can do SAP, we can do a data program. And then even last year we were really starting to see customers ask. The question is like, what kind of synergies and what kind of economies of scale do I get when I start bringing these different threads together and also realizing that it's, you know, to innovate for the business and build new applications, new capabilities, well, that, that is going to inform what data you need to, to hydrate those applications, right? Which then informs your data strategy while a lot of that data is then also embedded in your underlying applications that sit on premises. So you should be thinking through how do you get those applications into the cloud? >>So you need to draw that line through all of those layers. And that was already starting last year. And so last year we launched the joint transformation program with AEG. And then, so we were ready when this year happened and then it was just an acceleration. So things have been happening faster than we anticipated, but we knew this was going to be happening. And luckily we've been in a really good position to help some of our customers really think through all those different layers of kind of the pyramid as we've been calling it along with the talent and change pieces, which are also so important as you make this transformation to cloud >>Andy, what's the success factors. Andy Jassy came on stage during the partner day, a surprise fireside chat with Doug Hume and talking about this is really an opportunity for partners to, to change the business landscape with enablement from Amazon. You guys are in a pole position to do that in the marketplace. What's the success factors that you see, >>Um, really from three, three fronts, I'd say, um, w you know, one is the, the people. Um, and, and I, I, again, I think Andy touched on sort of a, uh, success factors, uh, early in the week. And for me, it's these three areas that it sort of boils down to, to these three areas. Um, one is the, the, the, the people, uh, from the leaders that it's really important to set those big, bold visions point the way. And then, and then, you know, set top down goals. How are we going to measure you almost do get what you measure, um, to be, you know, beyond the leaders, to, to the right people in the right position across the company. We're finding a key success factor for these end to end transformations is not just the leaders, but you haven't poached across the company, working in a, in a collaborative, shared, shared success model, um, and people who are not afraid to, to invent and fail. >>And so that takes me to perhaps the second point, which is the culture. Um, it's important, uh, with finding food for the right conditions to be set in the company, not enable people to move at pace, move at speed, be able to fail fast, um, keep things very, very simple, and just keep iterating and that sort of culture of iteration, um, and improvement versus seeking perfection is, is super important for, for success. And then the third part of maybe touch on is, is partners. Um, I think, you know, as we move forward over the next five years, we're going to see an increasing number of players in the ecosystem in the enterprises state. Um, you're going to see more and more SAS providers. And so it's important for companies and our joint clients out there to pick partners like, um, like AWS or, or Accenture or others, but to pick partners who have all worked together and built solutions together. And that allows them to get speed to value quicker. It allows them to bring in pre-assembled solutions, um, and really just drive that transformation in a quicker, it sorts of manner. >>Yeah, that's a great point worth calling out, having that partnership model that's additive and has synergy in the cloud, because one of the things that came out of this this week, this year is reinvented, is there's new things going on in the public cloud, even though hybrid is an operating model, outpost and super relevant. There, there are benefits for being in the cloud and you've got partners, APIs, for instance, and have microservices working together. This is all new, but I got, I got to ask that on that thread, Andy, where did you see your customers going? Because I think, you know, as you work backwards from the customers, you guys do, what's their needs, how do you see them? You know, where's the puck going? Where can they skate to where the puck's going? Because you can almost look forward and say, okay, I've got to build modern apps. I got to do the digital transformation. Everything is a service. I get that, but what do they, what, what solutions are you building for them right now to get there? >>Yeah. And, and of course, with, with, you know, industries blurring and multiple companies, it's always hard to boil down to the exact situations, but you can probably look at it from a sort of a thematic lens. And what we're seeing is as the cloud transformation journey picks up from us perspective, we've seen a material shift in the solutions and problems that we're trying to address with clients that they are asking for us, uh, to, to help, uh, address is no longer just the back office where you're sort of looking at cost and efficiency and, um, uh, driving gains from that perspective. It's beyond that, it's now materially the top line. It's, how'd you get the driving to the, you know, speed to insights, how'd you get them decomposing, uh, their application set in order to derive those insights. Um, how'd you get them, um, to, to, um, uh, sort of adopt leading edge industry solutions that give them that jump start, uh, and that accelerant to winning the customers, winning the eyeballs. >>Um, and then, and then how'd you help drive the customer experience. We're seeing a lot of push from clients, um, or ask for help on how do I optimize my customer experience in order to retain my eyeballs. And then how do I make sure I've got a soft self-learning ecosystem at play, um, where I, you know, it's not just a practical experience, but I can sort of keep learning and iterating, um, how treat my, eat, my customers, um, and a lot of that, um, that's still self-learning that comes from, you know, putting in, uh, intelligence into your, into your systems, getting an AI and ML, uh, in that. And so as a result of that, where it was seeing a lot of push and a lot of what we're doing, uh, is pouring investments into those areas. And then finally, maybe beyond the bottom line and the top line is how do you harden that and protect that with, um, security and resilience? Uh, so I'll probably say those are the three areas. John >>Brian on the business model side, obviously the enablement is what Amazon has. Um, we see things like SAS factory coming on board and the partner network I've see a, is a big, huge partner of you guys. Um, the business models there. You've got I, as, as doing great with chips, you have this data modeling this data opportunity to enable these modern apps. We heard about the partner strategy from Andy. I'm talking about yesterday now about how can partners within even a center. What's the business model side on your side that you're enabling this. Can you just share your thoughts on that? >>Yeah. And so it's, it's interesting. And again, I'm kind of build it in a build a little bit on some of the things that Andy really talked about there, right? And that we, if you think of that from the partnership, we are absolutely helping our customers with kind of that it modernization piece and we're investing a lot and that there's hard work that needs to get done there. And we're investing a lot as a partnership around the tools, the assets and the methodology. So in AWS and Accenture show up together as AEG, we are executing off a single blueprint with a single set of assets so we can move fast. So we're going to continue to do that with all the hybrid announcements from this past week, those get baked into that, that migration modernization theme, but the other really important piece here as we go up the stack, Andy mentioned it, right? >>The data piece, like so much of what we're talking about here is around data and insights. Right? I did a cube interview last week with, uh, Carl hick. Um, who's the CIO from Takeda. And if you hear Christophe Weber from Takeda talk, he talks about Takeda being a data company, data and insights company. So how do we, as a partnership, again, build the capabilities and the platforms like with Accenture's applied insights platform so that we can bootstrap and really accelerate our client's journey. And then finally, on the innovation on the business front, and Andy was touching on some of these, we are investing in industry solutions and accelerators, right? Because we know that at the end of the day, a lot of these are very similar. We're talking about ingesting data, using machine learning to provide insights and then taking action. So for instance, the cognitive insurance platform that we're working together on with Accenture, if they get about property and casualty claims and think about how do we enable touchless claims using machine learning and computer vision that can assess based on an image damage, and then be able to triage that and process it accordingly, right? >>Using all the latest machine learning capabilities from AWS >>With that deep, um, AI machine learning data science capability from Accenture, who knows all those algorithms that need to get built and build that library by doing that, we can really help these insurance companies accelerate their transformation around how they think about claims and how they can speed those claims on behalf of their policy holder. So that's, what's an example of a, kind of like a bottom to top view of what we're doing in the partnership to address these new needs. >>That's awesome. Andy, I want to get back to your point about culture. You mentioned it twice now. Um, challenge is a big part of the game here. Andy Jassy referenced Lambda. Next generation developers were using Lambda. He talked about CIO stories around, they didn't move fast enough. They lost three years. A new person came in and made it go faster. This is a new, this is a time for a certain kind of, um, uh, professional and individual, um, to, to be part of, um, this next generation. What's the talent strategy you guys have to attract and attain the best and retain the best people. How do you do it? >>Um, you know, it's, it's, um, it's an interesting one. It's, it's, it's oftentimes a, it's, it's a significant point and often overlooked. Um, you know, people, people really matter and getting the right people, um, in not just in AWS or, but then on our customers is super important. We often find that much of our discussions with, with our clients is centered around that. And it's really a key ingredient. As you touched on, you need people who are willing to embrace change, but also people who are willing to create new, um, to invent new, to reinvent, um, and to keep it very simple. Um, w we're we're we're seeing increasingly that you need people who have a sort of deep learning and a deep, uh, or deep desire to keep learning and to be very curious as, as they go along. Most of all, though, I find that, um, having people who are not willing or not afraid to fail is critical, absolutely critical. Um, and I think that that's, that's, uh, a necessary ingredient that we're seeing, um, our clients needing more off, um, because if you can't start and, and, and you can't iterate, um, you know, for fear of failure, you're in trouble. And I think Andy touched on that you, you know, where that CIO, that you referred to last three years, um, and so you really do need people who are willing to start not afraid to start, um, and, uh, and not afraid to lead. Yeah. >>It takes a gut-check there. I just said, you guys have a great team over there. Everyone at the center I've interviewed strong, talented, and not afraid to lean in and, and into the trends. Um, I got to ask on that front cloud first was something that was a big strategic focus for Accenture. How does that fit into your business group? That's, uh, Amazon focus, obviously their cloud, and now hybrid everywhere, as I say, um, how does that all work it out? >>We're super excited about our cloud first initiative, and I think it fits it, um, really, uh, perfectly it's it's, it's what we needed. It's, it's, it's a, it's another accelerant. Um, if you think of first, what we're doing is we're, we're putting together, um, a capability set that will help enable him to and translations as Brian touched on your help companies move, you know, from just, you know, migrating to, to, to modernizing, to driving insights, to bringing in change, um, and, and, and helping on that, on that talent. So that's sort of component number one is how does Accenture bring the best, uh, end to end transformation capabilities to our clients? Number two is perhaps, you know, how do we, um, uh, bring together pre-assembled as Brian touched on preassembled industry offerings to help as an accelerant, uh, for our, for our customers three, as, as we touched on earlier, is, is that sort of partnership with the ecosystem. >>We're going to see an increasing number of SAS providers in an estate in the enterprises States out there. And so, you know, parts of our cloud first and our AEG strategy is to increase our touchpoints and our integrations and our solutions and our offerings where the ecosystem partners out there, the ISV partners out there, and the SAS providers out there. And then number four is really about, you know, how do we, um, extend the definition of the cloud? I think oftentimes people thought of the cloud just as sort of on-prem and prem. Um, but, but as Andy touched on earlier this week, you know, you've, you've got this, the concept of hybrid cloud and that in itself, um, uh, is, is, is, uh, you know, being redefined as well, you know, where you've got the intelligent edge and you've got various forms of the edge. Um, so that's the fourth part of, of our, of our cloud first strategy. And, and, and for us was super excited because all of that is highly relevant for ABG, as we look to build those capabilities as industry solutions and others, and as we look to enable our customers, but also how we, you know, as we, as we look to extend how we go to market, uh, I joined tally PS, uh, in, uh, in our respective skews and products. >>Well, what's clear now is that people now realize that if you contain that complexity, the upside is massive. And that's great opportunity for you guys. We got to get to the final question for you guys to weigh in on, as we wrap up next five years, Brian, Andy weigh in, how do you see that playing out? What do you see this exciting, um, for the partnership and the cloud first cloud, everywhere cloud opportunities share some perspective. >>Yeah, I, I, they, you know, just kinda building on that cloud first, right? What cloud first. And we were super excited when cloud first was announced and you know, what it signals to the market and what we're seeing in our customers, which is cloud really permeates everything that we're doing now. Um, and, and so all aspects of the business will get infused with cloud in some ways, you know, it, it touches on all pieces. And I think what we're going to see is just a continued acceleration and getting much more efficient about pulling together the disparate, what had been disparate pieces of these transformations, and then using automation using machine learning to go faster. Right? And so, as we start thinking about the stack, right, well, we're going to get, I know we are, as a partnership is we're already investing there and getting better and more efficient every day as the migration pieces and the moving assets, the cloud are just going to continue to get more automated, more efficient, and those will become the economic engines that allow us to fund the differentiated, innovative app activities up the stack. >>So I'm excited to see us, you know, kind of invest to make those, those, um, those bits accelerated for customers so that we can free up capital and resources to invest where it's going to drive the most outcome for their end customers. Um, and I think that's going to be a big focus and that's going to have the industry, um, you know, focus. It's going to be making sure that we can consume the latest and greatest of AWS has capabilities and, you know, in the areas of machine learning and analytics, but then Andy's also touched on it bringing in ecosystem partners, right? I mean, one of the most exciting wins we had this year, and this year of COVID is looking at the universe, uh, looking at Massachusetts, the COVID track and trace solution that we put in place is a partnership between Accenture, AWS, and Salesforce, right? So again, bringing together three really leading partners who can deliver value for our customers. I think we're going to see a lot more of that. As customers look to partnerships like this, to help them figure out how to bring together the best of the ecosystem to drive solutions. So I think we're going to see more of that as well. >>All right, Andy final word, your take >>Of innovation is, is picking up. Um, the split things are just going faster and faster. I'm just super excited and looking forward to the next five years as, as you know, the technology invention, um, comes out and continues to sort of set new standards from AWS. Um, and as we, as Accenture bringing our industry capabilities, we marry the two, we, we go and help our customers super exciting times. >>Well, congratulations on the partnership. I want to say thank you to you guys, because I've reported a few times some stories around real successes around this COVID pandemic that you guys worked together on with Amazon that really changed people's lives. Uh, so congratulations on that too as well. I want to call that out. Thanks for coming >>Up. Thank you. Thanks for coming on. >>Okay. This is the cubes coverage, Accenture AWS partnership, part of the center's executive summit at Avis reinvent 2020. I'm John for your host. Thanks for watching.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent Executive Summit 2020 sponsored by Accenture and AWS. What? Welcome, everyone to the Cube Virtual and our coverage of the Accenture Executive Summit, part of AWS reinvent 2020. I'm your host, Rebecca Knight. Today we're talking about the power of three. And what happens when you bring together the scientific know how of a global bias Bio pharmaceutical powerhouse in Takeda, a leading cloud services provider in AWS and Accenture's ability to innovate, execute and deliver innovation, Joining me to talk about these things we have Aaron. Sorry. Arjun, baby. He is the senior managing director and chairman of Accenture's Diamond Leadership Council. Welcome margin, you Carl Hick. He is the chief digital and information officer at Takeda. >>Pleasure to be here. Thank you. Rebecca >>and Brian Bowen, global director and head of the Accenture AWS Business Group at Amazon Web services. Thanks so much for coming. Thank you. So, as I said, we're talking today about this relationship between your three organizations. Carl, I want to talk with you. I know you're at the beginning of your cloud journey. What was the compelling reason Why? Why I moved to the cloud and why now? >>Yeah. No, thank you for the question. So you know as ah, bio pharmaceutical leader were committed toe bringing better health and a brighter future to our patients. We're doing that by translating science and toe some really innovative and life transporting therapies. But throughout, you know, we believe that there's, ah responsible use of technology of data and of innovation. And those three ingredients air really key to helping us deliver on that promise. And so, you know, while I think I'll call it this Cloud Journeys already has always been a part of our strategy. Andi have made some pretty steady progress over the last years with a number of local it diverse approaches to the digital in AI. We just weren't seeing the impact at scale that we wanted to see. Andi, I think that you know, there's a there's a need ultimately to accelerate and broaden that shift. And, you know, we were commenting on this earlier, but there's, you know, it's been highlighted by a number of factors. One of those has been certainly a number of the large acquisitions we've made Shire being the most pressing example, but also the global pandemic. Both of those highlight the need for us to move faster at the speed of cloud ultimately on. So we started thinking outside of the box because it was taking us too long and we decided to leverage the strategic partner model on. It's giving us a chance to think about our challenges very differently. We call this the power of three on. Ultimately, our focus is singularly on our patients. I mean, they're waiting for us. We need Thio. Get there faster. It can take years. And so I think that there is a focus on innovation at a rapid speed so we can move ultimately from treating conditions to keeping people healthy. >>So as you are embarking on this journey, what are some of the insights you want to share about? About what you're seeing so far? >>Yeah. No, it's a great question. So I mean, look, maybe right before I highlight some of the key insights, I would say that, you know, with Cloud now as the as a launchpad for innovation, you know, our vision all along has been that in less than 10 years we want every single to Kito associate. We're employees to be empowered by an AI assistant. And I think that, you know that's gonna help us make faster, better decisions that will help us. Uh, fundamentally, you know, deliver transformative therapies and better experiences to to that ecosystem, to our patients, to positions to payers, etcetera much faster than we previously thought possible. Um, and I think that technologies like cloud and edge computing together with a very powerful or call it data fabric is gonna help us to create this this really time. I'll call it the digital ecosystem. The data has to flow ultimately seamlessly between our patients and providers or partners or researchers. Etcetera. Uh, and so we've been thinking about this, Uh, call it. We call it sort of this pyramid. Um, that helps us describe our vision on a lot of it has to do with ultimately modernizing the foundation, modernizing and re architect ing the platforms that drive the company, heightening our focus on data, which means that there's an accelerated shift towards enterprise data platforms and digital products. And then, ultimately, a, you know, really an engine for innovation. Sitting at the very top, um, and So I think with that, you know, there's a few different I'll call it insights that you know are quickly kind of come zooming into focus. I would say one is this need to collaborate very differently. Um, you know, not only internally, but you know, how do we define ultimately and build a connected digital ecosystem with the right partners and technologies? Externally, I think the second component that maybe people don't think as much about but, you know, I find critically important is for us to find ways of really transforming our culture. We have to unlock talent and shift the culture, certainly as a large biopharmaceutical, very differently. And then, lastly, you've touched on it already. Which is, you know, innovation at the speed of cloud. How do we re imagine that you know how Doe ideas go from getting tested in months? That kind of getting tested in days, you know, how do we collaborate very differently on So I think those air three, perhaps of the larger chocolate insights that you know the three of us are spending a lot of time thinking about right now. >>So, Arjun, I want to bring you into this conversation a little bit. Let's let's delve into those a bit. Talk first about the collaboration that Carl was referencing there. How how have you seen that it is enabling colleagues and teams to communicate differently, interact in new and different ways, both internally and externally. As Carl said, >>No, thank you for that. And I've got to give called a lot of credit because as we started to think about this journey, it was clear was a bold ambition. It was, uh, something that, you know, we had all to do differently. And so the concept of the power of three that Karl has constructed has become a label for us as a way to think about what are we going to do to collectively drive this journey forward? And to me, the unique ways of collaboration means three things. The first one is that what is expected is that the three parties they're going to come together, and it's more than just the sum of our resource is, and by that I mean that we have to bring all of ourselves all of our collective capabilities as an example. Amazon has amazing supply chain capabilities there. One of the best at supply chain. So in addition to Resource is when we have supply chain innovations, that's something that they're bringing in addition to just talent and assets. Similarly, for Accenture, right, we do a lot in the talent space. So how do we bring our thinking as to how we apply best practices for talent to this partnership? So as we think about this, so that's that's the first one. The second one is about shared success. Very early on in this partnership, we started to build some foundations and actually develop seven principles that all of us would look at it as the basis for this success shared success model. And we continue to hold that sort of in the forefront as we think about this collaboration. And maybe the third thing I would say is this one team mindset. So whether it's the three of our CEO's that get together every couple of months to think about this partnership or it is the governance model that Karl has put together, which has all three parties in the governance and every level of leadership, we always think about this as a collective group so that we can keep that front and center. And what this, I think, ultimately has enabled us to do Is it allowed us to move its speed, be more flexible and ultimately all be looking at the target the same way the North south? The same way. >>Brian. What? What about you? What have you observed? What are you thinking about? In terms of how this is helping teams collaborate differently? >>Yeah, absolutely. And Georgia made some great points there. And I think if you really think about what he's talking about, it's that diversity of talent, diversity of skill and viewpoint and even culture. Right? And so we see that in the power of three. And I think if we drilled down into what we see at Takeda and frankly, Takeda was really, I think, pretty visionary and on their way here, right, and taking this kind of cross functional approach and applying it to how they operate day to day. So moving from a more functional view of the world to more of a product oriented view of the world, right? So when you think about, we're gonna be organized around a product or service or capability that we're gonna provide to our customers are patients or donors. In this case, it implies a different structure, although altogether in a different way of thinking. Right, because now you've got technical people in business experts and marketing experts all working together in This is sort of a cross collaboration, and what's great about that is it's really the only way to succeed with Cloud, right, because the old ways of thinking where you've got application people in infrastructure, people and business people is sub optimal, right, because we can all access this tools and capabilities. And the best way to do that isn't across kind of a cross collaborative way. And so this is product oriented mindset of Takeda was already on, I think is allowed us to move faster in those areas. >>Carl, I wanna go back to this idea of unlocking talent and culture, and this is something that both Brian and origin have talked about. Two people are are an essential part of their at the heart of your organization. How will their experience of work change and how are you helping reimagine and reinforce a strong organizational culture, particularly at this time when so many people are working remotely. >>Yeah, that's a great question. And it's something that, you know, I think we all have to think a lot about. I mean, I think, you know, driving this this call this this digital and data kind of capability building takes a lot of a lot of thinking. So I mean, there's a few different elements in terms of how we're tackling this one is we're recognizing. And it's not just for the technology organization or for those actors that that we're innovating with. But it's really across, you know, all of Takeda. We're working through ways of raising what I'll call the overall digital leaders literacy of the organization. You know, what are the, You know, what are the skills that are needed almost at a baseline level, even for, ah, global biopharmaceutical company? And how do we deploy? I'll call it Those learning resource is very broadly, and then secondly, I think that, you know, we're very clear that there's a number of areas where they're very specialized skills that are needed. Uh, my organization is one of those, and so, you know, we're fostering ways in which you know, were very kind of quickly kind of creating avenues, excitement for for associates in that space. So one example specifically is we use, you know, during these very much sort of remote sort of days, we use what we call global it me days, and we set a day aside every single month and this last Friday. Um, you know, we create during that time, it's time for personal development. Um, and we provide active seminars and training on things like, you know, robotic process automation, Data Analytics Cloud. Uh, in this last month, we've been doing this for months and months now, but in his last month, more than 50% of my organization participated. And there's this huge positive shift, both in terms of access and excitement about really harnessing those new skills and being able to apply them on. So I think that that's, you know, 11 element that can be considered. And then thirdly, of course, every organization has to work on. How do you prioritize talent, acquisition and management and competencies that you can't re skill? I mean, there's just some new capabilities that we don't have, And so there's a large focus that I have with our executive team in our CEO and thinking through those critical roles that we need to activate in order kind of thio build on this, uh, this business led cloud transformation and lastly, probably the hardest one. But the one that I'm most jazzed about is really this focus on changing the mindsets and behaviors. Andi, I think there, you know, this is where the power of three is really kind of coming together nicely. E mean, we're working on things like, you know, how do we create this patient obsessed curiosity? Um, and really kind of unlock innovation with a really kind of a growth mindset, Uh, and the level of curiosity that's needed not to just continue to do the same things, but to really challenge the status quo. So that's one big area of focus. We're having the agility toe act just faster. I mean, toe worry less. I guess I would say about kind of the standard chain of command, but how do you make more speedy, more courageous decisions? And this is places where we can emulate the way that ah, partner like AWS works? Or how do we collaborate across the number of boundaries, you know, and I think origin spoke eloquently to a number of partnerships that we can build so we can break down some of these barriers and use these networks. Um, whether it's within our own internal ecosystem or externally, to help to create value faster. So a lot of energy around ways of working we'll have to check back in. But, I mean, we're early in on this mindset and behavioral shift, but a lot of good early momentum. >>Carl, you've given me a good segue to talk to Brian about innovation because you said a lot of the things that I was the customer obsession and this idea of innovating much more quickly. Obviously. Now the world has its eyes on drug development, and we've all learned a lot about it in the past few months. And accelerating drug development is all of is of great interest to all of us. Brian How does a transformation like this help a company's ability to become more agile and more innovative? Add quicker speed to >>Yeah, No, absolutely. And I think some of the things that Karl talked about just now are critical to that. Right? I think, where sometimes you know, folks fall short is they think, you know, we're going to roll out the technology and the technology is going to be the Silver Bullet, where, in fact it is. The culture it is is the talent, and it's the focus on that. That's going to be, you know, the determinant of success. And I will say, You know, in this power of three arrangement, Karl talked a lot about the pyramid, um, talent and culture and that change. And that kind of thinking about that has been a first class citizen since the very beginning. Right? That absolutely is critical for being there. Um and so that's been that's been key. And so we think about innovation at Amazon and AWS, and Carl mentioned some of things that, you know, partner like AWS can bring to the table is we talk a lot about builders, right? So we're kind of obsessive about builders, Onda. We mean what we mean by that is way at Amazon, we hire for builders, we cultivate builders and we like to talk to our customers about it as well. And it also implies a different mindset. Right? When you're a builder, you have that curiosity. You have that ownership. You have that steak and whatever I am creating. I'm going to be a co owner of this product or the service right getting back to that kind of product oriented mindset. And it's not just the technical people or the I t. People who are builders. It is also the business people, as Karl talked about right. So when we start thinking about innovation again, where we see folks kind of get into a little bit of innovation, pilot paralysis is that you can focus on the technology. But if you're not focusing on the talent and the culture and the processes and the mechanisms, you're gonna be putting out technology. But you're not gonna have an organization that's ready to take it and scale and accelerated right, and so that's that's been absolutely critical. So just a couple of things we've been doing with with Takeda indicate, has really been leading the way is think about a mechanism and a process, and it's really been working backwards from the customer, right? In this case again, the patient and the donor. And that was an easy one because a key value of decadas is to be a patient focused biopharmaceutical, right? So that was embedded in their DNA. So that working back from that, that patient, that donor was a key part of that process. And that's really deep in our DNA as well in eccentrics. And so we're able to bring that together. The other one is, is getting used to experimenting and even perhaps failing right and being able to reiterate and fail fast and experiment and understanding that you know some decisions, what we call it at Amazon or to a doors meaning you could go through that door not like what you see and turn around and go back. And cloud really helps there. Because the cost of experimenting and the cost of failure is so much lower than it's ever been. You could do it much faster, and the implications there so much less so just a couple of things that we've been really driving with a kid around innovation that's been really critical. >>Carl, where are you already seeing signs of success? >>Yeah, No, it's a great question. And so we chose, you know, with our focus on innovation to try to unleash maybe the power of data digital in uh, focusing on what I call sort of a maid. And so we chose our plasma derived therapy business. Um and you know, the plasma drive therapy business unit? It develops critical lifesaving therapies for patients with a rare and complex diseases. Um, but what we're doing is by bringing kind of our energy together, we're focusing on creating called State of the art digitally connected donation centers. And we're really modernizing. You know, the donor experience right now we're trying Thio improve. Also, I'll call it the overall Plasma Collection process. And so we've selected a number of uncle at very high speed pilots that were working through right now specifically in this in this area, and we're seeing really great results already on DSO. That's that's one specific area of focus. >>Arjun, I want you to close this out here. Any ideas? Any best practices advice you would have for other pharmaceutical companies that are that are at the early stage of their cloud journey. >>Sorry. Was that for me? >>Yes. Sorry. Urgent? >>Yeah. No, I was breaking up a bit. No, I think the key is what sort of been great for me to see is that when people think about cloud, you know, you always think about infrastructure technology. The reality is that the cloud is really the true enabler for innovation at innovating at scale. And if you think about that, right and all the components that you need, ultimately, that's where the value is for the company, right? Because, yes, you're gonna get some cost synergies, and that's great. But the true value is And how do we transform the organization? The case of Takeda and a life sciences clients, right. We're trying to take a 14 year process of research and development that takes billions of dollars and compress that right. Tremendous amounts of innovation, opportunity. You think about the commercial aspect, lots of innovation can come that the plasma derived therapy is a great example of how we're gonna really innovate to change the trajectory of that business. So I think innovation is at the heart of what most organizations need to do. And the formula the cocktail that Takeda has constructed with this Fuji program really has all the ingredients, um, that are required for that success. >>Great. Well, thank you so much. Arjun, Brian and Carl was really an enlightening conversation. >>Thank you. It's been a lot of >>fun. Thank you. >>Uh, been fun. Thanks, Rebecca. >>And thank you for tuning into the Cube. Virtual is coverage of the Accenture Executive Summit.

>> 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)

(upbeat music) >> Live, from Las Vegas, it's theCUBE. Covering the AWS Accenture Executive Summit. Brought to you by Accenture. >> Welcome back to theCUBE's live coverage of the AWS Executive Summit. I'm your host, Rebecca Knight. We have three guests for this segment. We have Jim Phillips, Cloud Architect, Mutual of Omaha. Roy Bacharach, Senior Principle Technology, Accenture. And Brian Bohan, Global Business Lead, AWS. Thank you so much for coming on the show. >> Thanks for having us. >> Thank you. >> Thanks for having us. >> So we're talking about the transformation of the Contact Center but before we get started there, let's tell our viewers a little bit about Mutual of Omaha, your business, your target demographic and what you do. >> So Mutual of Omaha's a 109 year old insurance company. We have, our biggest market segments are in the senior health space and then, in the life space. So we service customers with a wide variety of needs, everything from Medicare supplement policies so we have like seasonal surges in business and things like that to people who are concerned about like, how do they, how do they prepare for their family for their life insurance needs and things like that. So, we've been around for quite a while. Predominantly, we'd been servicing our customer base through agents and as that shift occurs, right, we've been looking at how do we provide a much more finely focused view of the customer and emphasizing that within our contact centers with the recent creation of our service practice. >> So it was really just this idea of let's think about how to touch the customer in a different way. That that was really the business imperative toward this move. >> Right, so previously, we had, this all started in 2016 when we decided to take a focus on the customers, specifically from the service practice. So instead of service kind of being like an overhead associated with a product line, what we decided to do is we decided to really have something where the focus was on the end to end customer experience and how do we make that consistent across your interaction with Mutual of Omaha. That then lead us to reevaluate how we were doing our contacts centers and that's when we became involved with Roy and Accenture to look at what are our options to really kind of improve that experience for the customer. >> So when a customer like Mutual of Omaha comes to you Roy, with this business problem, what, how do you walk them through it and have them think about it? >> Okay, so we typically start at the top, you know, and understanding not only the business strategy but their current state of their technology architecture. And then, you try to work through the specific gaps, you know, gap analysis. What are they missing to get them there? With Mutual of Omaha, it was really they were being held back by their legacy on premise solution. You know, high levels of technical dept, huge complexity to support maintain and to make the changes. You know, so it was in that analysis we -- It was easy to see that the cloud was probably the best option for them. >> And did Amazon Connect immediately stand out? >> So even initially, when we were looking at options for this, Amazon Connect wasn't actually even on our list, so that was something that was brought to our attention during the sort of short-listing of candidates process. And then, you know, when we really looked at it, it just kind of blew our minds. So, you know, Roy had mentioned about taking a look at the gap analysis. So, as sort of as embarrassing or sad as this may seem, right, the decision to do something is a lot easier when there are a lot of gaps. We had a lot of gaps between what we could deliver with our current technology solution and then, what really the business strategy outcomes were wanting us to do. So, it did make a decision to look at completely sort of reinventing how we do the contact centers a lot easier position to consider. >> Bryan, in terms of the nuts and bolts of making Amazon Connect, can you give our viewers a little sense about really what is the infrastructure we're talking about here? >> So the interesting thing with Amazon Connect is it's really the call center platform capability that Amazon.com has been using for a number of years and that we decided to commercialize and externalize to customers like Mutual of Omaha. And so, like a lot things with AWS, what's nice about it is that it's you can start small. You can layer it in and it can integrate into some of the existing technologies and investments that you've made. It's not a rip and replace and then you can scale it as you see success and you can scale it up and down. So it's very economical as well. And so, it's an area we're really excited to see Mutual of Omaha really on the cutting edge there but we're seeing, with Accenture, a lot of momentum with this platform in insurance, financial services, even as CPG companies become more focused on delivering services, it's changing how they have to interact with customers so it's a great platform for that, a great starting place. >> So Amazon, a famously customer centric company. So what are the kinds of. You think, oh customers will love this but in fact, we were talking before the cameras were rolling, there was a little bit of resistance. >> So you have to think about like, how do you introduce this type of sort of radical change from what was traditionally just an exclusively a hands on service process that was, you know, agents and contact centers with an audience demographic that is not what you would think of as being like cutting edge in terms of technology adoption. But what we found through things like paying a lot of attention to our call flow development with Accenture. Paying lot of attention actually to our voice tuning and getting the voice of the customer to understand like what that voice tuning and how well that worked. We were able to actually get a more positive reception for the Connect solution that we even over like professionally recorded voice talent on it. So, you do have to address like all of the, all of the like customer touch points within the contact center and think about how do you manage the change within your audience demographic and how do you manage that adoption. But, you know, it's your customers, it's your agents. How do you make them comfortable with the solution? Right, because the, you know, customer can detect it, an agents uncomfortable with the solution that they're using. Right, how do you make this kind of like really seamless? So we took a, put a lot of emphasis on customer experience development as part of this. We didn't, we did not take any of our existing call flows and just put them in Connect. So all of our call flows were re-architected. >> What are some of the best practices that have emerged because he has just pointed out so many of the kind of challenges of implementing this new kind of approach and system with both clients and also the workforce itself. I mean, what would you say, what is sort of your advice in best practices that have emerged in terms of Mutual of Omaha's experience? >> You know, I think it's really start with the desired customer experience that you want. You know, so start with that customer experience and then with Amazon Connect, you know, likes Amazon Web Services, you can deliver that experience. So start there, throw out the legacy call flows, the legacy IVR scripts and start from scratch with the customer experience at the top of mind. And then you can get there. >> Yeah, I would second that. The, 'cause managing change internally organization, like if your focus is exclusively on what the customer experience is, that shortcuts a lot of arguments within the organization about what's the right thing to do because you know, everybody tends to kind of sub optimize for whatever their stakeholder perspective is. >> If your clearly focused on what the customer is looking for, that actually clarifies a lot what your internal conversations are. >> How do you three work together in terms of this tri-partnership? Accenture, AWS and Mutual of Omaha. How do you collaborate? >> Yeah, so I guess first from the partnership perspective, like I talked about, Connect and modernizing customer care, is a really big focus area for us as a partnership and a big investment area. So, we worked with Accenture and gotten their teams very much skilled up on the new platform and they have done a great job of integrating it into their existing practice. So now, when we come to a customer like Mutual of Omaha, we, you know, Accenture's got a very strong point of view, they've got technology skills behind it and they know how the solution can solve customer problems. So that's my job is to make sure that foundation is there and then, the team takes it from there really with the client. >> Yeah, I would say our experience with Amazon around this, is they're really very interested in the experience that we're having and how we can provide feedback around our particular use cases and understanding like what are the types of, what are the types of things that would make our stuff more successful. So because we work with a combination of health and life insurance products, things like HIPAA eligibility for services are a big deal for us and when you look at how the ecosystem is all tied together with Connect, that has really kind of, we've got a lot of attention and help from Amazon with regards to dealing with like HIPAA incompliance issues associated with how we put the solutions together and it's been really helpful for us. >> I want to talk about the role of empathy in this kind of technology, because as we know, we are dealing with really difficult times in peoples' lives. That they are in need of these kinds of products and services. So how do you make sure that the technology is taking that into account? >> Yeah, that's an excellent point. So we tend to think of financial services products as kind of sort of emotionally neutral or cold even, right? But when you're dealing with insurance, and a lot of times you're dealing with people who are calling and they're in a very emotional sort of situation. The, one of the things that is really good for that, that we hope to leverage much more in the future is being able to get the transcripts of the conversations out, so we can understand as part using that data that's coming from the interactions with the Lex bots and understanding that data as the customer works through the call flows to be able to look at how do we continue to improve these around how that customers responding to it, so that we can get to better customer experiences. Like, in often times, it's a very highly emotional situation. If you're dealing with like a life claims contact center, you're dealing with someone who's just recently experienced a loss of a loved one and as a result, peoples' patience is really low, they're really stressed, they're facing -- You know, our demographic is selling final expense policies and that means that people are facing a lot of financial uncertainty in addition to emotional distress. >> Right. >> Being able to take that information and use that to continually tune things for delightful customer outcomes is really important to us. >> So, what's next for Mutual of Omaha? >> So really, what's next for us is we're in the process of major migration of our contact center agents onto it. Once that is completed, that allows us to kind of get rid of some existing technology debt with our on premise telephony solution. And then we really start to get into kind of the good stuff. Right, so that's like integration with our customer portal, taking more advantage of what we want to do from a machine learning and AI perspective with regards to what we can get from the call data and the customer, the customer interaction. And really starting to kind of like make a huge jump in terms of what that customer experience can be. >> Great, I look forward to hearing more about it at next years Executive Summit. (laughing) >> Yeah, it would be great to be back. >> Great. >> Jim, Roy, Brian. Thank you so much for coming on theCUBE. >> Thank you. >> Thank you. >> Thanks for having us. >> I'm Rebecca Knight. We will have more from the AWS Executive Summit and theCUBE's live coverage coming up in just a little bit. (upbeat 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)