>>Hello everyone. My name is Savannah Peterson, coming to you from the Cube Studios in Palo Alto, California. We're gonna be talking about super computing an event coming up in Dallas this November. I'm joined by the infamous John Furrier. John, thank you for joining me today. >>Great to see you. You look great. >>Thank you. You know, I don't know if anyone's checked out the conference colors for for supercomputing, but I happen to match the accent pink and you are rocking their blue. I got the so on >>There it is. >>We don't always tie our fashion to the tech ladies and gentlemen, but we're, we're a new crew here at, at the Cube and I think it should be a thing that we, that we do moving forward. So John, you are a veteran and I'm a newbie to Supercomputing. It'll be my first time in Dallas. What can I expect? >>Basically it's a hardware nerd fest, basically of the top >>Minds. So it's like ces, >>It's like CES for like, like hardware. It's like really the coolest show if you're into like high performance computing, I mean game changing kind of, you know, physics, laws of physics and hardware. This is the show. I mean this is like the confluence of it's, it's really old. It started when I graduated college, 1988. And back then it was servers, you know, super computing was a concept. It was usually a box and it was hardware, big machine. And it would crank out calculations, simulations and, and you know, you were limited to the processor and all the, the systems components, just the architecture system software, I mean it was technical, it was, it was, it was hardware, it was fun. Very cool back then. But you know, servers got bigger and you got grid computing, you got clusters and then it be really became high performance computing concept. But that's now multiple disciplines, hence it's been around for a while. It's evergreen in the sense it's always changing, attracting talent, students, mentors, scholarships. It's kind of big funding and big companies are behind it. Wl, look, Packard Enterprise, Dell computing startups and hardware matters more than ever. You look at the cloud, what Amazon and, and the cloud hyper skills, they're building the fastest chips down at the root level hardware's back. And I think this show's gonna show a lot of that. >>There isn't the cloud without hardware to support it. So I think it's important that we're all headed here. You, you touched on the evolution there from super computing in the beginning and complex calculations and processing to what we're now calling high performance computing. Can you go a little bit deeper? What is, what does that mean, What does that cover? >>Well, I mean high high performance computing and now is a range of different things. So the super computing needs to be like a thing now. You got clusters and grids that's distributed, you got a backbone, it's well architected and there's a lot involved. This network and security, there's system software. So now it's multiple disciplines in high performance computing and you can do a lot more. And now with cloud computing you can do simulations, say drug research or drug testing. You have, you can do all kinds of cal genome sequencing. I mean the, the, the ability to actually use compute right now is so awesome. The field's got, you know, is rebooting itself in real time, you know, pun intended. So it's like really, it's really good thing. More compute makes things go faster, especially with more data. So high encapsulates all the, the engineering behind it. A lot of robotics coming in the future. All this is gonna be about the edge. You're seeing a lot more hardware making noise around things that are new use cases. You know, your Apple watch that's, you know, very high functionality to a cell tower. Cars again, high performance computing hits all these new use cases. >>It yeah, it absolutely does. I mean high performance computing touches pretty much every aspect of our lives in some capacity at this point and including how we drive our cars to, to get to the studio here in Palo Alto. Do you think that we're entering an era when all of this is about to scale exponentially versus some of the linear growth that we've seen in the space due to the frustration of some of us in the hardware world the last five to 10 years? >>Well, it's a good question. I think everyone has, has seen Moore's law, right? They've seen, you know, that's been, been well documented. I think the world's changing. You're starting to see the trend of more hardware that's specialized like DPU are now out there. You got GPUs, you're seeing the, you know, Bolton hardware, accelerators, you got chi layer software abstraction. So essentially it's, it's a software industry that's in impacted the hardware. So hardware really is software too and it's a lot more software in there. Again, system software's a lot different. So it's, I think it's, it's boomerang back up. I think there's an inflection point because if you look at cyber security and physical devices, they all kind of play in this world where they need compute at the edge. Edge is gonna be a big use case. You can see Dell Technologies there. I think they have a really big opportunity to sell more hardware. H WL Packard Enterprise, others, these are old school >>Box companies. >>So I think the distributed nature of cloud and hybrid and multi-cloud coming on earth and in space means a lot more high performance computing will be sold and and implemented. So that's my take on it. I just think I'm very bullish on this space. >>Ah, yes. And you know me, I get really personally excited about the edge. So I can't wait to see what's in store. Thinking about the variety of vendors and companies, I know we see some of the biggest players in the space. Who are you most excited to see in Dallas coming up in November? >>You know, HP enter, you look back on enterprise has always been informally, HP huge on hpc, Dell and hpe. This is their bread and butter. They've been making servers from many computers to Intel based servers now to arm-based servers and and building their own stuff. So you're gonna start to see a lot more of those players kind of transforming. We're seeing both Dell and HPE transforming and you're gonna see a lot of chip companies there. I'm sure you're gonna see a lot more younger talent, a lot, a lot of young talent are coming, like I said, robotics and the new physical world we're living in is software and IP connected. So it's not like the old school operational technology systems. You have, you know, IP enabled devices that opens up all kinds of new challenges around security vulnerabilities and also capabilities. So it's, I think it's gonna be a lot younger crowd I think than we usually see this year. And you seeing a lot of students, and again universities participating. >>Yeah, I noticed that they have a student competition that's a, a big part of the event. I'm curious when you say younger, are you expecting to see new startups and some interesting players in the space that maybe we haven't heard of before? >>I think we might see more use cases that are different. When I say younger, I don't mean so much on the Democratic but young, younger i new ideas, right? So I think you're gonna see a lot of smart people coming in that might not have the, you know, the, the lens from when it started in 1988 and remember 1988 to now so much has changed. In fact we just did AEG a segment on the cube called does hardware matter because for many, many years, over the past decades, like hardware doesn't matter, it's all about the cloud and we're not a box company. Boxes are coming back. So you know, that's gonna be music for for into the years of Dell Technologies HPE the world. But like hardware does matter and this, you're starting to see that here. So I think you'll see a lot a younger thinking, a little bit different thinking. You're gonna start to see more conf confluence of like machine learning. You're gonna see security and again, I mentioned space. These are areas where you're starting to see where hardware and high performance is gonna be part of all the new systems. And so it's just gonna be industrial to i o is gonna be a big part too. >>Yeah, absolutely. I, I was thinking about some of these use cases, I don't know if you heard about the new drones they're sending up into hurricanes, but it takes literally what a, what an edge use case, how durable it has to be and the rapid processing that has to happen as a result of the software. So many exciting things we could dive down the rabbit hole with. What can folks expect to see here on the cube during supercomputing? >>Well we're gonna talk to a lot of the leaders on the cube from this community, mostly from the practitioner's side, expert side. We're gonna have, we're gonna hear from Dell Technologies, Hewlett Packer Enterprise and a lot of other executives who are investing wanna find out what they're investing in, how it ties into the cloud. Cuz the cloud has become a great environment for multi-cloud with more grid-like capability and what's the future? Where's the hardware going, what's the evolution of the components? How is it being designed? And then how does it fit into the overall software open source market that's booming right now that cloud technology has been doing. So I wanna, we wanna try to connect the dots on the cube. >>Great. So we have a very easy task ahead of us. Hopefully everyone will enjoy the content and the guests that we leaving to, to our table here from from the show floor. When we think about, do you think there's gonna be any trends that we've seen in the past that might not be there? Has anything phased out of the super computing world? You're someone who's been around this game for a while? >>Yeah, that's a good question. I think the game is still the same but the players might shift a little bit. So for example, a lot more with the supply chain challenges you might see that impact. We're gonna watch that very closely to find out what components are gonna be in what. But I'm thinking more about system architecture because the use case is interesting. You know, I was talking to Dell folks about this, you know they have standard machines but then they have use cases for how do you put the equivalent of a data center next to say a mobile cell tower because now you have the capability for wireless and 5g. You gotta put the data center like CAPA speed functionality and capacity for compute at these edges in a smaller form factor. How do you do that? How do you handle all the IO and that's gonna be all these, all these things are nerd again nerdy conversations but they're gonna be very relevant. So I like the new use cases of power more compute in places that they've never been before. So I think that to me is where the exciting part is. Like okay, who's got the, who's really got the real deal going on here? That's something be the fun part. >>I think it allows for a new era in innovation and I don't say that lightly, but when we can put processing power literally anywhere, it certainly thrills the minds of hardware nerds. Like me, my I'm OG hardware, I know you are too, I won't reveal your roots, but I got my, my start in in hardware product design back in the day. So I can't wait >>To, well you then, you know, you know hardware, when you talk about processing power and memory, you can never have enough compute and memory. It's like, it's like the internet bandwidth. You can't never have enough bandwidth. Bandwidth, right? Network power, compute power, you know, bring it on, you know, >>Even battery life, simple things like that when it comes to hardware, especially when we're talking about being on the edge. It's just like our cell phones. Our cell phones are an edge device >>And we get, well when you combine cloud on premises hybrid and then multi-cloud and edge, you now have the ability to get compute at capabilities that were never fathom in the past. And most of the creativity is limited to the hardware capability and now that's gonna be unleashed. I think a lot of creativity. That's again back to the use cases and yes, again, you're gonna start to see more industrial stuff come out edge and I, I, I love the edge. I think this is a great use case for the edge. >>Me too. A absolutely so bold claim. I don't know if you're ready to, to draw a line in the sand. Are we on the precipice of a hardware renaissance? >>Definitely no doubt about it. When we, when we did the does hardware matter segment, it was really kind of to test, you know, everyone's talking about the cloud, but cloud also runs hardware. You look at what AWS is doing, for instance, all the innovation, it's at robotics, it's at that at the physical level, pro, pro, you know you got physics, I mean they're working on so low level engineering and the speed difference. I think from a workload standpoint, whoever can get the best out of the physics and the materials will have a winning formula. Cause you can have a lot more processing specialized processors. That's a new system architecture. And so to me the hype, definitely the HPC high press computing fits perfectly into that construct because now you got more power so that software can be more capable. And I think at the end of the day, nobody wants to write a app on our workload to run on on bad hardware, not have enough compute. >>Amen to that. On that note, John, how can people get in touch with you and us here on the show in anticipation of supercomputing? >>Of course hit the cube handle at the cube at Furrier, my last name F U R R I E R. And of course my dms are always open for scoops and story ideas. And go to silicon angle.com and the cube.net. >>Fantastic. John, I look forward to joining you in Dallas and thank you for being here with me today. And thank you all for joining us for this super computing preview. My name is Savannah Peterson and we're here on the cube live. Well not live prerecorded from Palo Alto. And look forward to seeing you for some high performance computing excitement soon.

>>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.