>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel AWS and our community partners. Welcome everyone to the Cube virtual and our coverage of the Accenture Executive Summit, which is part of AWS reinvent 2020. I'm your host Rebecca Knight. Today we're talking about the green Cloud and joining me is Kishore Dirk. He is Accenture Senior Managing director Cloud First Global Services lead. Thank you so much for coming on the show Key Shore. >>Nice to meet you, Rebecca. >>Great to have you. Yeah. So I want to start by asking you what it is that we mean when we say green cloud. We know the sustainability is a business imperative. So many organizations around the world are committing to responsible innovation lowering carbon emissions. But what does this? What does it? What does it mean when they talk about cloud from a sustainability perspective? >>E think it's about responsible innovation. Green Cloud is a thoughtful cloud first approach that helps boost profits and benefit the clients for helping reduce carbon emissions. Think about it this way. And you have a large number of data centers and each of these data centers are increasing by 14% every year, and this double digit growth comes with the price of Becca. What you're seeing is these global data centers consume a lot of power on the consumption is nearly pull into the consumption of a country like Spain. So the magnitude off the problem that is out there and and how do we pursue a green approach if you look at this hour? Accenture Analysis In terms of the migrations to public crowd, we have seen that we can reduce that by 59 million tons of CO two per year and with just the 5.9% reduction in top lighting emissions. And he creates this toe 22 million cars off the road. And the magnitude of reduction can go a long way. Meeting climate change commitments, particularly poor data sensitive businesses. >>Wow, that's incredible. What you're the numbers that you're putting forward are absolutely mind blowing. So how does it work? Is it a simple cloud migration? So, you know, >>when companies begin their cloud journey and and then they confront off with them a lot of questions. The decision to make uh, in this particular element sustainable in their solution and benefits. They drive and they had to make vice choices. And then they will gain unprecedented level of innovation, leading to both greener planet as well as a a green of balance sheet. I would say eso effectively. It's all about ambition. Greater the ambition, greater the reduction in carbon emissions. So from a cloud migration perspective, we look at it as a simple solution with approaches and sustainability. Benefits are that very based on things. It's about selecting the right cloud provider, very carbon thoughtful provider and the first step towards a sustainable cloud journey. And here we're looking at clown operators. You know, obviously they have different corporate commitments towards sustainability and that determines how they plan, how they build their the data centers, how they our and consume connections that operate there and how they retire their data centers. Then, uh, the next element that you want to do is how do you build it? Ambition, You know, for some of the companies, on average on Prem drives about 65% energy reduction and the carbon emission reduction of about 84% which is kind of OK and good I would say, But then, if you could go up to 98% by configuring applications to the cloud, that is significant benefit for for the world. And obviously it's a greener cloud that we're talking about. And then the question is, How far can you go? And, you know, obviously the companies have to unlock greater financial, societal environmental benefits. And essential has this cloud based circular operations and sustainable products and services that that you bring into play. So it's a It's a very thoughtful, broader approach that we're bringing and in terms off just a simple concept off migration s. >>So we know that in the covert era, shifting to the cloud has really become a business imperative. How is Accenture working with its clients at a time when all of this movement has been accelerated? How do you partner and what is your approach in terms of helping them with their migrations? >>Yeah, I mean, let me talk a little bit about the pandemic and the crisis that is there today, and and if you really look at that in terms of how your partner with a lot of our clients in terms of the cloud first approach. I'll give you a couple of examples. We've worked with Rolls Royce, McClaren, DHL and others as part of the ventilator UK Charon Consortium again to, uh, coordinate production of medical ventilators urgently needed for the UK Health Service. Many of these firms have taken similar initiatives in terms off, you know, from perfume manufacturers hand sanitizers. And to answer it is, is and again leading passion levels, making BP and again at the U. N. General Assembly. We launched the end to end integration Guy that helps company essentially to have a sustainable development goes. And that's how we're parting at a very large scale. Andi, if you really look at how we work with our clients and what's Accenture's role there? Uh, you know, from in terms of our clients, you know there are multiple steps that we look at. One is about planning, building, deploying and managing an optimal green color solution. And Accenture has this concept off helping clients for the platform to kind of achieve that goal. And here we're having. We're having a platform called Minor, which has a model called Green Clad Advisor, and this is the capability that helps you provide optimal green cloud, you know, a business case and obviously blueprint for each of our clients. And right from the start in terms off, how do we complete lower migration recommendation toe on improve solution accuracy to obviously bringing in the end to end perspective? You know, with this green clad adviser capability, we're helping our clients capture what we call it the carbon footprint for existing data centers and provide, uh, I would say the current cloud C 02 emissions core that you know, obviously helps them with carbon credits that can further their green agenda. So essentially, this is about recommending a green index score reducing carbon footprint for migration, migrating for green a cloud. And it really look at how accentuate itself is practicing. What we preached. 95% of the applications are in the cloud, and this migration has helped us. Uh, toe lied to about $42.5 million in benefit and in the third year, and and another three million analyzed costs that are saved through rightsizing service consumption. So it's a very broad umbrella and a footprint in terms of having engage societally with the U. N our clients. And what is it that we exactly bring to our clients in solving a specific problem? >>Accenture isn't is walking the walk as you say? >>Yes, So that that is that we we practice what we preach, and that is something that we take it to heart. We want toe have a responsible business and we want to practice it. And we want to advise our clients around that >>you are your own use case, and so they they know they can take your advice. So talk a little bit about the global, the cooperation that's needed. We know that conquering this pandemic is going to take a coordinated global effort and talk a little bit about the great reset initiative. First of all, what is that? Why don't we? Why don't we start there? And then we could delve into it a little bit more. >>Okay, so before we get to how we're cooperating, the great recent initiative is about improving the state of the world, and it's about a group of global stakeholders cooperating to simultaneously manage the direct consequences of their Cohen 19 prices andan spirit of this cooperation that you're seeing during Court 19 which will obviously either toe post pandemic project will the worth pressing issues. As I say, we're increasing companies to realize combined potential of technology and sustainable impact, to use enterprise solutions to address with urgency and scale and obviously multiple challenges that are facing our world. One of the ways that you're increasing, uh, companies to reach their Venus cloud with extensions cloud strategy is to build a solid foundation that is resilient. I would prefer to faster to the current as well as future times. Now, when you think of Cloud as the foundation that drives the digital transformation, it's about scale, speed, streamlining your operations and obviously reducing costs. And and as these businesses sees the construct of cloud first, they must remain obviously responsible and trusted. Now think about this right as part of our analysis that profitability can co exist with responsible and sustainable practices. Let's say that on the data centers migrated from on from the cloud based, we estimate, you know, that would reduce carbon emissions globally by 60 million tons for years. Andi, think about it this way, right? Easier Metric will be taking out 22 million cars off the road Thea Other examples that you've seen right in terms off the NHS work that they're doing in UK to build, uh, you know, a Microsoft teams were in based integration and the platform he rolled out for 1.2 million in it. Just users Onda. About 16,000 users there were able to secure instant messages, you know, obviously complete audio video calls and host working meetings across England. So this this work that we did with NHS is is something that we're collaborating with a lot of fools and powering businesses, not marriage. >>Well, you're vividly describing the business case for sustainability. What do you see as the future of cloud when thinking about it through this lens of sustainability and also going back to what you were talking about in terms of how you are helping your fostering cooperation within these organizations? >>That's a very good question, because so if you look at today, right, businesses are obviously environmentally aware, and they are expanding efforts to decrease power consumption, carbon emissions, and they want to run a sustainable operational efficiency across all elements of the business. And this is an increasing trend. And there is that option off energy efficient infrastructure in the global market. And this trend is the cloud. First thinking and with the right cloud migration that we've been discussing is what unlocking new opportunity, like clean energy transitions enabled, enabled by cloud based geographic analysis, material based reductions and better data insights. And this is something that, well, we'll drive with obviously faster analytics platform that is out there now. The sustainability is actually the future of business, which is companies that have historically different the financial security or agility benefits to cloud. Now sustainability becomes an imperative for them and our own experience. Accenture's experience with cloud migrations We have seen 30 to 40% total cost of ownership savings on its driving. Ah, greater workloads, flexibility, better service, somebody utilization and obviously more energy efficient public clouds that cost obviously well, that that drive a lot of these enterprise own data centers. So in our view, what we're seeing is that this this, uh, sustainable cloud position helps helps companies to a drive a lot of the goals, in addition to their financial and other goals. >>So what should organizations who are who are watching this interview and saying, Hey, I need to know more. What do you recommend to them and what? Where should they go to get more information on Green Cloud. >>You know, if you're if you're a business leader and you're thinking about which cloud provider is good, how should applications be modernized to meet our day to day needs Which cloud driven innovation should be priorities? Uh, you know, that's why Accenture, uh, from the Cloud First organization and essentially to provide the whole stack of cloud services to help our clients become a cloud first business. You know, it's all about exhibition. The digital transformation innovating faster, creating differentiated and sustainable value for our clients. And we're powering it up with 70,000 cloud professionals, $3 billion investment and bringing together unmasked depth and breadth of cloud services for our clients in terms of plant solutions and obviously the ecosystem partnership that we have that we're seeing today, Andi assets that help our clients realize that goes on and again toe do reach out to us way can help them to two men, obviously an optimal, sustainable cloud for solution that meets the business needs and being unprecedented levels of innovation. Our experience will be an advantage. And now more than ever, Rebecca. >>So just closing us out here, Do you have any advice for these companies who are navigating a great deal of uncertainty? We What? What do you think? The next 12 to 24 months. What do you think that should be on the minds of CEOs as they go >>forward. So as CEOs are thinking about rapidly leveraging cloud migrating to cloud off, one of the elements that we want them to be thoughtful about is can they do that with unprecedented level of innovation, but also build a greener planet and a greener balance sheet? If we can achieve this balance and and kind off have, ah, have, ah, world, which is greener. I think the world will win and we all along with extension of clients, will win. That's what I will say, Rebecca. >>That is an optimistic outlook, and I will take it. Thank you so much. Key shore for coming on the show. >>Thank you so much. >>That was Accenture's Key Shore. Dirk Rebecca. Night. Stay tuned for more of the Cube virtual coverage of the Accenture Executive Summit

>> Live from San Francisco. It's the cube covering IBM thing twenty nineteen brought to you by IBM. >> Welcome back to the live coverage here in Mosconi North in San Francisco for IBM. Think this. The cubes coverage. I'm Jeffrey David. Launching a too great guest here. Carlos. Gavel, gavel. A chief date. Officer Clara, Columbia and Carlos. See? Good. Engage your manager. IBM data Science elite team a customer of IBM country around data science. Welcome to the Cube. Thanks for joining us. Thanks for having us. So we'll hear the street, the street to shut down a i N E. Where's the big theme? Multi cloud. But it's all about the data everywhere. People trying to put end to end solutions together to solve real business problems. Date is at the heart of all this moving date around from cloud to cloud using. Aye, aye. And technology get insights out of that. So take a minute to explain your situation, but you got to try to do. >> Okay. Okay, Perfect. Right now, we're working out a lot about the business thing because we need to use the machine learning models or all the artificial intelligence toe. Take best decisions for the company. Way. We're working with Carlo in a charming mother in order to know how how come with a boy the customers left the company Because for us it's very important to maintain our our customer toe. Now, how they're how are the cables is from them. There are two facility intelligences is next selling way to do it that way. Have a lot of challenge about that because, you know, we have a lot of data, different systems, that they're running the data way need to put all the information together to run them to run the mother's. The team that Carlo is leaving right now is helping to us a lot because we WeII know how to handle that. We know howto clean the data when you have to do the right governess for the data on the IBM iniquity is very compromised with us in there in order to do that safely. That is one of the union that is very close to us right now. She was working a lot with my team in order to run the models. You saying she was doing a lot of four. I mean, over fight on right now we are trained to do it in over the system, running this park on DH that is they? They Good way that we are. We are thinking that is going to get the gold for us way Need to maintain our customers. >> So years the largest telecommunications piece Claro in Mexico for boys and home services. Is that segments you guys are targeting? Yeah, Yeah. Scope. Size of how big is that? >> Clarisa? Largest company in Colombia For telecommunication. We have maybe fifty million customers in Colombia. More than fifty percent of the market marketer also way have many maybe two point five millions off forms in Colombia. That is more than fifty percent of the customers for from services on. Do you know that it's a big challenge for us because the competitors are all the time. Tryinto take our customers on DH the charm or they'll have toe. How's the boy that and how to I hope to do their artificial intelligence to do it much learning. It's a very good way to do that. >> So classic problem and telecommunications is Charon, right? So it's a date. A problem? Yeah, but So how did it all come about? So these guys came to you? >> Yeah. They help The game does. We got together. We talked about the problem and in turn was at the top right. These guys have a ton of data, so what we did is the team got together. We have really the way to data sensibly team works is we really helped clients in three areas. It's all about the right skills, the right people, the right tools and then the right process. So we put together a team. We put together some agile approaches on what we're going to do on DH. Then we'd get started by spinning up in environment. We took some data and we took there. And there's a lot of data is terabytes of data. We took their user data way, took their use users usage data, which is like how many text, cellphone and then bill on day that we pulled all that together and environment. Then the data scientists alongside what Carlos is team really worked on the problem, and they addressed it with, you know, machine learning, obviously target. In turn, they tried a variety of models, But actually, boost ended up being one of the better approaches on DH. They came up with a pretty good accuracy about nineties ninety two. Percent precision on the model. Predicting unpredictable turn. Yeah. >> So what did you do with that? That >> that that is a very good question because the company is preparing to handle that. I have a funny history. I said today to the business people. Okay, these customers are going to leave the company. Andi, I forget about that on DH. Two months later, I was asking Okay, what happened? They say, Okay, your model is very good. All the customers goes, >> Oh, my God, What >> this company with that they weren't working with a with information. That is the reason that we're thinking that the good ways to fame for on the right toe the left because twist them which is therefore, pulls the purposes toe Montana where our customers And in that case, we lose fifty thousand customers because we didn't do nothing Where we are close in the circle, we are taking care about that prescriptive boys could have tto do it on. OK, maybe that is her name. Voice problem. We need to correct them to fix the problem in orderto avoid that. But the fetus first parties toe predict toe. Get any score for the charm on Tau handled that with people obviously working. Also at the root cause analysis because way need to charm, way, need to fix from their road, >> Carla. So walk us through the scope of, like, just the project, because this is a concern we see in the industry a lot of data. How do I attack it? What's the scoop? You just come in and just into a data lake. How do you get to the value? These insights quickly because, honestly, they're starving for insights would take us through that quick process. >> Well, you know, every every problems with different. We helped hundreds of clients in different ways. But this pig a problem. It was a big data problem because we knew we had a lot of data. They had a new environment, but some of the data wasn't there. So what we did was way spun up a separate environment. We pulled some of the big data in there. We also pulled some of the other data together on DH. We started to do analysis on that kind of separately in the cloud, which is a little different, but we're working now to push that down into their Duke Data Lake, because not all the data is there, but some of the data is there, and we want to use some of that >> computer that almost to audit. Almost figure out what you want, what you want to pull in first, absolutely tie into the business on the business side. What would you guys like waiting for the answers? Or was that some of the on your side of process? How did it go down? >> I'm thinking about our business way. We're talking a little bit about about that about their detective tow hundred that I see before data within. That is a very good solution for that because we need infested toe, have us in orderto get the answers because finally we have a question we have question quite by. The customers are leaving us. Andi. What is data on the data handed in the good in a good way with governor? Dance with data cleaning with the rhyme orders toe. Do that on DH Right now, our concern is Business Section a business offer Because because the solution for the companies that way always, the new problems are coming from the data >> started ten years ago, you probably didn't have a new cluster to solve this problem. Data was maybe maybe isn't a data warehouse that maybe it wasn't And you probably weren't chief data officer back then. You know that roll kind of didn't exist, so a lot has changed in the last ten years. My question is, do you first of all be adjusting your comment on that? But do you see a point in which you could now take remedial action or maybe even automate some of that remedial action using machine intelligence and that data cloud or however else you do it to actually take action on behalf of the brand before humans who are without even human involvement foresee a day? >> Yeah. So just a comment on your thought about the times I've been doing technology for twenty something years, and data science is something has been around, but it's kind of evolved in software development. My thought is, uh, you know, we have these rolls of data scientists, but a lot of the feature engineering Data prep does require traditional people that were devious. And now Dave engineers and variety of skills come together, and that's what we try to do in every project. Just add that comment. A ce faras predicted ahead of time. Like, I think you're trying to say what data? Help me understand >> you. You know, you've got a ninety three percent accuracy. Okay, So I presume you take that, You give it to the business businesses, Okay? Let's maybe, you know, reach out to them, maybe do a little incentive or you know what kind of action in the machines take action on behalf of your brand? Do you foresee a day >> so that my thought is for Clara, Columbia and Carlos? But but obviously this is to me. Remain is the predictive models we build will obviously be deployed. And then it would interact with their digital mobile applications. So in real time, it'll react for the customers. And then obviously, you know, you want to make sure that claro and company trust that and it's making accurate predictions. And that's where a lot more, you know, we have to do some model validation and evaluation of that so they can begin to trust those predictions. I think is where >> I want to get your thoughts on this because you're doing a lot of learnings here. So can you guys each taking minutes playing the key Learnings from this As you go through the process? Certainly in the business side, there's a big imperative to do this. You want to have a business outcome that keeps the users there. But what did you learn? What was some of the learnings? You guys gone from the project? >> They the most important learning front from the company that wass teen in the data that that sound funny, but waiting in an alley, garbage in garbage, out on DH that wass very, very important for other was one of the things that we learn that we need to put cleaning date over the system. Also, the government's many people forget about the governments of the governments of the data on DH. Right now, we're working again with IBM in our government's >> so data quality problem? Yeah, they fight it and you report in to your CEO or the CEO. Seo, your spear of the CIA is OK. That >> is it. That's on another funny history, because because the company the company is right now, I am working for planning. This is saying they were working for planning for the company. >> Business planning? >> Yeah, for business planning. I was coming for an engineer engineering on DH. Right now, I'm working for a planning on trying to make money for the company, and you know that it's an engineer thinking how to get more money for the company I was talking about. So on some kind of analysis ticks, that is us Partial Analytics on I want you seeing that in engineer to know how the network handling how the quality of the network on right now using the same software this acknowledge, to know which is the better point to do sales is is a good combination finally and working. Ralph of planning on my boss, the planning the planet is working for the CEO and I heard about different organizations. Somebody's in Financial City owes in financial or the video for it is different. That depends from the company. Right now, I'm working for planning how to handle things, to make more money for the company, how to tow hundred children. And it is interesting because all the knowledge that I have engineering is perfect to do it >> Well, I would argue that's the job of a CDO is to figure out how to make money with data. Are saying money. Yeah. Absolute number one. Anyway, start there. >> Yeah, The thing we always talked about is really proving value. It starts with that use case. Identify where the real value is and then waken. You know, technology could come in the in the development work after that. So I agree with hundred percent. >> Carlos. Thanks for coming in. Largest telecommunication in Colombia. Great. Great customer reference. Carlo thinking men to explain real quick in a plug in for your data science elite team. What do you guys do? How do you engage? What? Some of the projects you work on Grey >> out. So we were a team of about one hundred data scientists worldwide. We work side by side with clients. In our job is to really understand the problem from end and help in all areas from skills, tools and technique. And we won't prototype in a three agile sprints. We use an agile methodology about six to eight weeks and we tied. It developed a really We call it a proof of value. It's it's not a M v P just yet or or poc But at the end of the day we prove out that we could get a model. We can do some prediction. We get a certain accuracy and it's gonna add value to the >> guys. Just >> It's not a freebie. It actually sorry. I'm sorry. It's not for paint service. It's a freebie is no cough you've got. But I don't like to use >> free way. Don't charge, but >> But it's something that clients could take advantage of if they're interesting problem and maybe eventually going to do some business. >> If you the largest telecommunication provider in the country, to get a freebie and then three keys, You guys dig in because its practitioners, real practitioners with the right skills, working on problems that way. Claro, >> Colombia's team. They were amazing. In Colombia. We had a really good time. Six to eight weeks working on it. You know, a problem on those guys. All loved it, too. They were. They were. Before they knew it. They were coding and python. And are they ready? Knew a lot of this stuff, but they're digging in with the team and became well together. >> This is the secret to modernization of digital transformation, Having sales process is getting co creating together. Absolutely. Guys do a great job, and I think this is a trend will see more of. Of course, the cubes bring you live coverage here in San Francisco at Mosconi. Nor That's where I said it is. They're shutting down the streets for IBM. Think twenty here in San Francisco, more cube coverage after the short break right back.