 Live from Las Vegas, it's theCUBE, covering the AWS Accenture Executive Summit, brought to you by Accenture. Welcome back everyone to theCUBE's live coverage of the AWS Executive Summit here at the Venetian in Las Vegas, Nevada. I'm your host, Rebecca Knight. We have two guests for this segment. We have Adam Burden, Chief Software Engineer at Accenture, and Chris Scott, AWS North America Lead. Thank you both so much for coming back on theCUBE, returning. Thanks for having us. Thanks. So we're talking today about future systems. So in the past Accenture, when Accenture has talked about this, it's talked about the future of applications, future applications. Now it's future systems. What are we talking about first of all? And why the switch? Look, it's actually a key question for us. And I think that we aspire to be to our clients, thought leaders, about where we believe that the technology landscape of tomorrow is heading. To help give them guidance about the path that they should chart their own systems on today. And we wrote a kind of a seminal paper several years ago called the future of applications. And it laid out different strategies that our clients, we recommend it to our clients, that they follow in order to build the technology systems of tomorrow. And in it, we had three characteristics, liquid, intelligent, and connected. And the outcome from that was great. It was an inspiration for many of them to build their future technology landscape. And that language of liquid, intelligent, connected from a white paper was written five years ago has really entered the lexicon of many of our clients and industry. Now however, they've seen this success, but they want to be able to do that truly at scale. They want to be able to take advantage of applications and the way that they're built and designed for tomorrow, but do that in an enterprise-wide scale. And we felt like it was a time for us to go back and reflect upon what we had wrote about as the future of applications and said, let's think about how systems three years on, four years on, are going to be built for tomorrow. And that's exactly what we did in future systems. So future systems, you can look at it as a compass for how they'll continue to chart their path to be able to scale the new and close something that we call the innovation achievement gap. And this innovation achievement gap is really kind of the diagnosis that we put on there of where they've seen success in pockets of innovation across their enterprise, but they want to be able to have that occurring across all of their businesses simultaneously. And we believe that following some of the prescriptive advice that we provide in future systems that clients, our clients, would be able to do exactly that. So I want to dig into that research a little bit. And you said liquid, intelligent, connected, those really became part of the vernacular. This year it's three new. Three new ones, that's right. Boundaryless, adaptable, and radically human. These are the characteristics that you say are the secret sauce for a successful system. So let's get into these a little bit. Let's start with Boundaryless. Sure, Boundaryless is great to talk here about reinvent because it really is all about cloud, how you use cloud. But before I get ahead of myself, I really define what Boundaryless is. And naturally it's about breaking down barriers. Between systems, between businesses, in between humans and machines. And successful companies that do this can really quickly respond to the market because their systems are very agile and can react. There are two really important elements to Boundaryless. First is cloud, being able to leverage cloud, not just as a data center, but as an innovation platform to be able to do more, leveraging the great services from AWS like Lambda and API Gateway and across the entire stack of AWS services and leveraging automation and really getting beyond infrastructure to treating it infrastructure as code with an environment is an important component of that. The second is decoupling. It's decoupling applications and data. For years we designed systems and the data that's part of that system would remain within that system. But you didn't get the value out of it by linking that across various parts of the organization. So it's important to decouple that data and application and give that access to other parts of the organization. The other important part is decoupling applications from legacy infrastructure. I talked a little bit about infrastructure as code. That's an important component of it. And lastly, it's decoupling integrated systems into loosely coupled applications in systems. And that's important because you develop components that you can share across the organization. You do it really well for one system. You want to share that component across other systems in the organization. Adam and I were talking a little bit about Boundaryless and different examples that we've seen in working with our clients. Adam had a really good one that he was talking about before. I think this characteristic kind of sets the foundation for how future systems are going to be constructed. And when you think about the restrictions that you perhaps even falsely place on applications today by sort of limiting how much they can actually expand or grow or scale over time, you're limiting the potential growth of your business. And that's why we think it's so important that as you're designing and building systems of tomorrow, we're working with a client right now who is rethinking their loyalty program. It's a Cathay Pacific, a big airline. We're going to be speaking with them later on. Yeah, and it's a remarkable story and you're going to get a lot of details of this later. But what I really love about this is they've embraced this concept of Boundaryless by introducing blockchain technologies in cloud into how their loyalty points program is going to work in the future. So whether they have 10 partners, 1,000 partners, or 10,000 partners in there, the way that they've constructed their system is it is going to elastically scale to be able to support all that and it's going to make it faster and better with higher quality than ever before for them to onboard new partners and even more importantly, serve their mile point program customers better. So great example of Boundaryless and how the systems of tomorrow are going to be built. Particularly because you said that that was a big challenge that it's not only not communicating with your partners, but it's also not communicating within the business, the different units not talking to each other. So let's move on to adaptable and adapt, you think every system's got to be adaptable but what do we mean, let's break it down. It's actually, you know, this is a really interesting challenge for us and you're starting to see the early stages now of systems and technologies that can embrace these characteristics. Basically what we mean by adaptable is that these are systems that autonomously change. They anticipate, for example, new loads or performance expectations or they anticipate certain changes in user patterns or behavior and actually reorganize themselves without you telling them to do it. So they're taking advantage of trusted data and artificial intelligence and other elements so that they can perform better and that you can focus more attention on the business value that's delivered on top of them. A great analogy that I've used for this is imagine you've got kind of two gears that are turning towards each other, right? And one gear has like a really big tooth on it and you can kind of see it coming and it's going to wreck the other gear when it gets there. Well, imagine that gear sort of sees that coming and adapts and says, okay, I can make this area wider and that tooth will fit right in there. That's what adaptable is all about, is it's looking at what's happening around it and it's adjusting itself so it can perform better in the enterprise instead of falling over and that makes your systems more reliable, it makes your customer experiences better and allows you to have systems that will make you one of these high performers of tomorrow. Anticipating and adapting. Anticipating and adapting, exactly right. Finally, the final characteristic, radically human. I love this. Define what it is and then I want to talk about the kinds of companies that you've seen do this best. Yeah, radically human, I love the term too. I think it's great. It's really about creating systems that are simple, they're elegant, but they're also immersive to our customers. Natural language processing, computer vision, machine learning are all important components and it's really about how these systems listen, they see, they can adapt, they understand what's going on just like people do. It's interesting that the technology has become so invasive in our lives but it's also become invisible. It's woven to the fabric of what we do with digital assistance and all the things that are out there today. It's such an important part of what we do. So it's important to create systems that are aligned to the users and this has created an interesting inversion. We would design systems in the past that would gather requirements and then eventually when the system went live you'd have to train all of the users how to use that system and you would have to adapt the user to the system. Now what we're talking about is developing systems that can adapt to the adaptable point that Adam mentioned but really change to work better for the users. We were talking a little bit before as well about Amazon Connect and a great example of this is leveraging Connect and omni-channel capabilities to allow customers to interact with customer service and businesses the way they want to interact whether that's via phone or through online or text message, find the right medium to get them the right answers as fast as possible. Now a great example of this is a client that we're working with Mutual of Omaha who's going to be here on theCUBE and we've done a breakout session with them. They've been through this whole journey and they've really gotten much better customer engagement through this. So it's not necessarily feeling that your technology is mimicking a human, it's really just the technology is what you, the human, want it to be in whatever format. I mean, is that right? That's a really interesting way of putting it. It's about so many times and there's examples all around us where people have kind of adapted to technology rather than us adapting to, rather than the technology adapting to us. I mean, even the keyboard, I have right here, right? The keyboard, this keyboard and the layout was invented in 1870, okay? And it was invented in a way to actually slow down typists so that the arms wouldn't get stuck on it. I mean, why are we still suffering with a keyboard that limits how fast we can type this many years later? And that's the point we're trying to make with Radically Human is that we should be thinking about how technology is designed around people rather than the other way around. So that's a real cultural shift that has to take place within companies. So what are some of the best practices that sort of how companies can become more Radically Human and their systems become more Radically Human? Well, I mean, look, there's human-centered design is a really important aspect of it and there's some, a lot of great emerging thought in that space. We think that design thinking contributes a lot to kind of really thinking from the very beginning about how do we build applications or technology systems in the future that are going to work with people? So it's human plus machine, not human versus machine. And we think the outcomes that you get from embracing some of those approaches allow you to build solutions and design them that are much more Radically Human in the future. And this is really important. You're going to be more productive, more effective. Your workforce is going to be happier, your customers are going to be happier and they're going to be more engaged. And there's a paradox here too, is that the more we do this, actually the less you'll see of the technology and because it'll become embedded in the things around us. So maybe I've actually, I've written some things in the past that says AI is the new UI and the end of screens, right? So maybe it doesn't really mean the end of screens but we're going to see a lot less screens because it's easier for people to hear information sometimes than it is to actually see it. Right, this is really fascinating stuff. Thank you both so much for coming back on theCUBE for the great conversation. We're happy to. Thank you, Rebecca. Adam and Chris, thank you. I'm Rebecca Knight. We will have more of theCUBE's live coverage of the AWS Executive Summit coming up in just a little bit.