(upbeat music) >> Hello everyone. Welcome to Silicon Angle news breaking story here. Amazon Web Services, expanding their relationship with Hugging Face, breaking news here on Silicon Angle. I'm John Furrier, Silicon Angle reporter, founder and also co-host of theCUBE. And I have with me Swami from Amazon Web Services, vice president of database analytics machine learning with AWS. Swami, great to have you on for this breaking news segment on AWS's big news. Thanks for coming on, taking the time. >> Hey John, pleasure to be here. >> We've had many conversations on theCUBE over the years. We've watched Amazon really move fast into the large data modeling. You SageMaker became a very smashing success. Obviously you've been on this for a while, now with Chat GPT, open AI, a lot of buzz going mainstream, takes it from behind the curtain, inside the ropes, if you will, in the industry to a mainstream. And so this is a big moment I think in the industry. I want to get your perspective because your news with Hugging Face, I think is a is another tell sign that we're about to tip over into a new accelerated growth around making AI now application aware application centric, more programmable, more API access. What's the big news about with AWS Hugging Face, you know, what's going on with this announcement? >> Yeah, first of all, they're very excited to announce our expanded collaboration with Hugging Face because with this partnership, our goal, as you all know, I mean Hugging Face I consider them like the GitHub for machine learning. And with this partnership, Hugging Face and AWS will be able to democratize AI for a broad range of developers, not just specific deep AI startups. And now with this we can accelerate the training, fine tuning, and deployment of these large language models and vision models from Hugging Face in the cloud. So, and the broader context, when you step back and see what customer problem we are trying to solve with this announcement, essentially if you see these foundational models are used to now create like a huge number of applications, suggest like tech summarization, question answering, or search image generation, creative, other things. And these are all stuff we are seeing in the likes of these Chat GPT style applications. But there is a broad range of enterprise use cases that we don't even talk about. And it's because these kind of transformative generative AI capabilities and models are not available to, I mean, millions of developers. And because either training these elements from scratch can be very expensive or time consuming and need deep expertise, or more importantly, they don't need these generic models. They need them to be fine tuned for the specific use cases. And one of the biggest complaints we hear is that these models, when they try to use it for real production use cases, they are incredibly expensive to train and incredibly expensive to run inference on, to use it at a production scale, so And unlike search, web search style applications where the margins can be really huge, here in production use cases and enterprises, you want efficiency at scale. That's where a Hugging Face and AWS share our mission. And by integrating with Trainium and Inferentia, we're able to handle the cost efficient training and inference at scale. I'll deep dive on it and by training teaming up on the SageMaker front now the time it takes to build these models and fine tune them as also coming down. So that's what makes this partnership very unique as well. So I'm very excited. >> I want to get into the, to the time savings and the cost savings as well on the on the training and inference. It's a huge issue. But before we get into that, just how long have you guys been working with Hugging Face? I know this is a previous relationship. This is an expansion of that relationship. Can you comment on the what's different about what's happened before and then now? >> Yeah, so Hugging Face, we have had an great relationship in the past few years as well where they have actually made their models available to run on AWS in a fashion, even inspect their Bloom project was something many of our customers even used. Bloom Project for context is their open source project, which builds a GPT three style model. And now with this expanded collaboration, now Hugging Face selected AWS for that next generation of this generative AI model, building on their highly successful Bloom project as well. And the nice thing is now by direct integration with Trainium and Inferentia, where you get cost savings in a really significant way. Now for instance, tier 1 can provide up to 50% cost to train savings, and Inferentia can deliver up to 60% better costs and Forex more higher throughput. Now these models, especially as they train that next generation generated AI model, it is going to be not only more accessible to all the developers who use it in open. So it'll be a lot cheaper as well. And that's what makes this moment really exciting because yeah, we can't democratize AI unless we make it broadly accessible and cost efficient, and easy to program and use as well. >> Okay, thanks Swami. We really appreciate. Swami's a Cube alumni, but also vice President, database analyst machine learning web services breaking down the Hugging Face announcement. Obviously the relationship he called it the GitHub of machine learning. This is the beginning of what we will see, a continuing competitive battle with Microsoft. Microsoft launching OpenAI. Amazon's been doing it for years. They got Alexa, they know what they're doing. It's going to be very interesting to see how this all plays out. You're watching Silicon Angle News, breaking here. I'm John Furrier, host of the Cube. Thanks for watching. (ethereal music)

(upbeat music) >> For those of you who've been following the cloud database space, you know that MySQL HeatWave has been on a technology tear over the last 24 months with Oracle claiming record breaking benchmarks relative to other database platforms. So far, those benchmarks remain industry leading as competitors have chosen not to respond, perhaps because they don't feel the need to, or maybe they don't feel that doing so would serve their interest. Regardless, the HeatWave team at Oracle has been very aggressive about its performance claims, making lots of noise, challenging the competition to respond, publishing their scripts to GitHub. But so far, there are no takers, but customers seem to be picking up on these moves by Oracle and it's likely the performance numbers resonate with them. Now, the other area we want to explore, which we haven't thus far, is the engine behind HeatWave and that is AMD. AMD's epic processors have been the powerhouse on OCI, running MySQL HeatWave since day one. And today we're going to explore how these two technology companies are working together to deliver these performance gains and some compelling TCO metrics. In fact, a recent Wikibon analysis from senior analyst Marc Staimer made some TCO comparisons in OLAP workloads relative to AWS, Snowflake, GCP, and Azure databases, you can find that research on wikibon.com. And with that, let me introduce today's guest, Nipun Agarwal senior vice president of MySQL HeatWave and Kumaran Siva, who's the corporate vice president for strategic business development at AMD. Welcome to theCUBE gentlemen. >> Welcome. Thank you. >> Thank you, Dave. >> Hey Nipun, you and I have talked a lot about this. You've been on theCUBE a number of times talking about MySQL HeatWave. But for viewers who may not have seen those episodes maybe you could give us an overview of HeatWave and how it's different from competitive cloud database offerings. >> Sure. So MySQL HeatWave is a fully managed MySQL database service offering from Oracle. It's a single database, which can be used to run transactional processing, analytics and machine learning workloads. So, in the past, MySQL has been designed and optimized for transaction processing. So customers of MySQL when they had to run, analytics machine learning, would need to extract the data out of MySQL, into some other database or service, to run analytics or machine learning. MySQL HeatWave offers a single database for running all kinds of workloads so customers don't need to extract data into some of the database. In addition to having a single database, MySQL HeatWave is also very performant compared to one up databases and also it is very price competitive. So the advantages are; single database, very performant, and very good price performance. >> Yes. And you've published some pretty impressive price performance numbers against competitors. Maybe you could describe those benchmarks and highlight some of the results, please. >> Sure. So one thing to notice that the performance of any database is going to like vary, the performance advantage is going to vary based on, the size of the data and the specific workloads, so the mileage varies, that's the first thing to know. So what we have done is, we have published multiple benchmarks. So we have benchmarks on PPCH or PPCDS and we have benchmarks on different data sizes because based on the customer's workload, the mileage is going to vary, so we want to give customers a broad range of comparisons so that they can decide for themselves. So in a specific case, where we are running on a 30 terabyte PPCH workload, HeatWave is about 18 times better price performance compared to Redshift. 18 times better compared to Redshift, about 33 times better price performance, compared to Snowflake, and 42 times better price performance compared to Google BigQuery. So, this is on 30 Terabyte PPCH. Now, if the data size is different, or the workload is different, the characteristics may vary slightly but this is just to give a flavor of the kind of performance advantage MySQL HeatWave offers. >> And then my last question before we bring in Kumaran. We've talked about the secret sauce being the tight integration between hardware and software, but would you add anything to that? What is that secret sauce in HeatWave that enables you to achieve these performance results and what does it mean for customers? >> So there are three parts to this. One is HeatWave has been designed with a scale out architecture in mind. So we have invented and implemented new algorithms for skill out query processing for analytics. The second aspect is that HeatWave has been really optimized for cloud, commodity cloud, and that's where AMD comes in. So for instance, many of the partitioning schemes we have for processing HeatWave, we optimize them for the L3 cache of the AMD processor. The thing which is very important to our customers is not just the sheer performance but the price performance, and that's where we have had a very good partnership with AMD because not only does AMD help us provide very good performance, but the price performance, right? And that all these numbers which I was showing, big part of it is because we are running on AMD which provides very good price performance. So that's the second aspect. And the third aspect is, MySQL autopilot, which provides machine learning based automation. So it's really these three things, a combination of new algorithms, design for scale out query processing, optimized for commodity cloud hardware, specifically AMD processors, and third, MySQL auto pilot which gives us this performance advantage. >> Great, thank you. So that's a good segue for AMD and Kumaran. So Kumaran, what is AMD bringing to the table? What are the, like, for instance, relevance specs of the chips that are used in Oracle cloud infrastructure and what makes them unique? >> Yeah, thanks Dave. That's a good question. So, OCI is a great customer of ours. They use what we call the top of stack devices meaning that they have the highest core count and they also are very, very fast cores. So these are currently Zen 3 cores. I think the HeatWave product is right now deployed on Zen 2 but will shortly be also on the Zen 3 core as well. But we provide in the case of OCI 64 cores. So that's the largest devices that we build. What actually happens is, because these large number of CPUs in a single package and therefore increasing the density of the node, you end up with this fantastic TCO equation and the cost per performance, the cost per for deployed services like HeatWave actually ends up being extraordinarily competitive and that's a big part of the contribution that we're bringing in here. >> So Zen 3 is the AMD micro architecture which you introduced, I think in 2017, and it's the basis for EPIC, which is sort of the enterprise grade that you really attacked the enterprise with. Maybe you could elaborate a little bit, double click on how your chips contribute specifically to HeatWave's, price performance results. >> Yeah, absolutely. So in the case of HeatWave, so as Nipun alluded to, we have very large L3 caches, right? So in our very, very top end parts just like the Milan X devices, we can go all the way up to like 768 megabytes of L3 cache. And that gives you just enormous performance and performance gains. And that's part of what we're seeing with HeatWave today and that not that they're currently on the second generation ROM based product, 'cause it's a 7,002 based product line running with the 64 cores. But as time goes on, they'll be adopting the next generation Milan as well. And the other part of it too is, as our chip led architecture has evolved, we know, so from the first generation Naples way back in 2017, we went from having multiple memory domains and a sort of NUMA architecture at the time, today we've really optimized that architecture. We use a common I/O Die that has all of the memory channels attached to it. And what that means is that, these scale out applications like HeatWave, are able to really scale very efficiently as they go from a small domain of CPUs to, for example the entire chip, all 64 cores that scaling, is been a key focus for AMD and being able to design and build architectures that can take advantage of that and then have applications like HeatWave that scale so well on it, has been, a key aim of ours. >> And Gen 3 moving up the Italian countryside. Nipun, you've taken the somewhat unusual step of posting the benchmark parameters, making them public on GitHub. Now, HeatWave is relatively new. So people felt that when Oracle gained ownership of MySQL it would let it wilt on the vine in favor of Oracle database, so you lost some ground and now, you're getting very aggressive with HeatWave. What's the reason for publishing those benchmark parameters on GitHub? >> So, the main reason for us to publish price performance numbers for HeatWave is to communicate to our customers a sense of what are the benefits they're going to get when they use HeatWave. But we want to be very transparent because as I said the performance advantages for the customers may vary, based on the data size, based on the specific workloads. So one of the reasons for us to publish, all these scripts on GitHub is for transparency. So we want customers to take a look at the scripts, know what we have done, and be confident that we stand by the numbers which we are publishing, and they're very welcome, to try these numbers themselves. In fact, we have had customers who have downloaded the scripts from GitHub and run them on our service to kind of validate. The second aspect is in some cases, they may be some deviations from what we are publishing versus what the customer would like to run in the production deployments so it provides an easy way, for customers to take the scripts, modify them in some ways which may suit their real world scenario and run to see what the performance advantages are. So that's the main reason, first, is transparency, so the customers can see what we are doing, because of the comparison, and B, if they want to modify it to suit their needs, and then see what is the performance of HeatWave, they're very welcome to do so. >> So have customers done that? Have they taken the benchmarks? And I mean, if I were a competitor, honestly, I wouldn't get into that food fight because of the impressive performance, but unless I had to, I mean, have customers picked up on that, Nipun? >> Absolutely. In fact, we have had many customers who have benchmarked the performance of MySQL HeatWave, with other services. And the fact that the scripts are available, gives them a very good starting point, and then they've also tweaked those queries in some cases, to see what the Delta would be. And in some cases, customers got back to us saying, hey the performance advantage of HeatWave is actually slightly higher than what was published and what is the reason. And the reason was, when the customers were trying, they were trying on the latest version of the service, and our benchmark results were posted let's say, two months back. So the service had improved in those two to three months and customers actually saw better performance. So yes, absolutely. We have seen customers download the scripts, try them and also modify them to some extent and then do the comparison of HeatWave with other services. >> Interesting. Maybe a question for both of you how is the competition responding to this? They haven't said, "Hey, we're going to come up "with our own benchmarks." Which is very common, you oftentimes see that. Although, for instance, Snowflake hasn't responded to data bricks, so that's not their game, but if the customers are actually, putting a lot of faith in the benchmarks and actually using that for buying decisions, then it's inevitable. But how have you seen the competition respond to the MySQL HeatWave and AMD combo? >> So maybe I can take the first track from the database service standpoint. When customers have more choice, it is invariably advantages for the customer because then the competition is going to react, right? So the way we have seen the reaction is that we do believe, that the other database services are going to take a closer eye to the price performance, right? Because if you're offering such good price performance, the vendors are already looking at it. And, you know, instances where they have offered let's say discount to the customers, to kind of at least like close the gap to some extent. And the second thing would be in terms of the capability. So like one of the things which I should have mentioned even early on, is that not only does MySQL HeatWave on AMD, provide very good price performance, say on like a small cluster, but it's all the way up to a cluster size of 64 nodes, which has about 1000 cores. So the point is, that HeatWave performs very well, both on a small system, as well as a huge scale out. And this is again, one of those things which is a differentiation compared to other services so we expect that even other database services will have to improve their offerings to provide the same good scale factor, which customers are now starting to expectancy, with MySQL HeatWave. >> Kumaran, anything you'd add to that? I mean, you guys are an arms dealer, you love all your OEMs, but at the same time, you've got chip competitors, Silicon competitors. How do you see the competitive-- >> I'd say the broader answer and the big picture for AMD, we're very maniacally focused on our customers, right? And OCI and Oracle are huge and important customers for us, and this particular use cases is extremely interesting both in that it takes advantage, very well of our architecture and it pulls out some of the value that AMD bring. I think from a big picture standpoint, our aim is to execute, to build to bring out generations of CPUs, kind of, you know, do what we say and say, sorry, say what we do and do what we say. And from that point of view, we're hitting, the schedules that we say, and being able to bring out the latest technology and bring it in a TCO value proposition that generationally keeps OCI and HeatWave ahead. That's the crux of our partnership here. >> Yeah, the execution's been obvious for the last several years. Kumaran, staying with you, how would you characterize the collaboration between, the AMD engineers and the HeatWave engineering team? How do you guys work together? >> No, I'd say we're in a very, very deep collaboration. So, there's a few aspects where, we've actually been working together very closely on the code and being able to optimize for both the large L3 cache that AMD has, and so to be able to take advantage of that. And then also, to be able to take advantage of the scaling. So going between, you know, our architecture is chip like based, so we have these, the CPU cores on, we call 'em CCDs and the inter CCD communication, there's opportunities to optimize an application level and that's something we've been engaged with. In the broader engagement, we are going back now for multiple generations with OCI, and there's a lot of input that now, kind of resonates in the product line itself. And so we value this very close collaboration with HeatWave and OCI. >> Yeah, and the cadence, Nip, and you and I have talked about this quite a bit. The cadence has been quite rapid. It's like this constant cycle every couple of months I turn around, is something new on HeatWave. But for question again, for both of you, what new things do you think that organizations, customers, are going to be able to do with MySQL HeatWave if you could look out next 12 to 18 months, is there anything you can share at this time about future collaborations? >> Right, look, 12 to 18 months is a long time. There's going to be a lot of innovation, a lot of new capabilities coming out on in MySQL HeatWave. But even based on what we are currently offering, and the trend we are seeing is that customers are bringing, more classes of workloads. So we started off with OLTP for MySQL, then it went to analytics. Then we increased it to mixed workloads, and now we offer like machine learning as alike. So one is we are seeing, more and more classes of workloads come to MySQL HeatWave. And the second is a scale, that kind of data volumes people are using HeatWave for, to process these mixed workloads, analytics machine learning OLTP, that's increasing. Now, along the way we are making it simpler to use, we are making it more cost effective use. So for instance, last time, when we talked about, we had introduced this real time elasticity and that's something which is a very, very popular feature because customers want the ability to be able to scale out, or scale down very efficiently. That's something we provided. We provided support for compression. So all of these capabilities are making it more efficient for customers to run a larger part of their workloads on MySQL HeatWave, and we will continue to make it richer in the next 12 to 18 months. >> Thank you. Kumaran, anything you'd add to that, we'll give you the last word as we got to wrap it. >> No, absolutely. So, you know, next 12 to 18 months we will have our Zen 4 CPUs out. So this could potentially go into the next generation of the OCI infrastructure. This would be with the Genoa and then Bergamo CPUs taking us to 96 and 128 cores with 12 channels at DDR five. This capability, you know, when applied to an application like HeatWave, you can see that it'll open up another order of magnitude potentially of use cases, right? And we're excited to see what customers can do do with that. It certainly will make, kind of the, this service, and the cloud in general, that this cloud migration, I think even more attractive. So we're pretty excited to see how things evolve in this period of time. >> Yeah, the innovations are coming together. Guys, thanks so much, we got to leave it there really appreciate your time. >> Thank you. >> All right, and thank you for watching this special Cube conversation, this is Dave Vellante, and we'll see you next time. (soft calm music)

(light, upbeat music) >> The last decade of cloud computing introduced and popularized an operating model that emphasized, simplified IT infrastructure provisioning and management. As well, it ushered in an era of consumption-based pricing and much more facile IT management, generally. Now these principles, they've bled into traditional data centers, which have increasingly become software led, programmable and DevOps centric. Now as we enter the post isolation era, it's ironic that not only are IT executives pursuing hybrid strategies, but everyone is talking about hybrid. Hybrid work, hybrid teams, hybrid events, hybrid meetings. The world has gone hybrid and the cloud is no exception. The cloud is expanding. Public cloud models are pushing to the data center and the edge on premises infrastructure is connecting to public clouds and managing data workflows and infrastructure across clouds and out to the edge. Now most leading technology executives that I speak with, they're essentially architecting their own clouds. And what I mean by that is they're envisioning and building an abstraction layer that hides the complexity of the underlying infrastructure and manages workloads intelligently. The end customer doesn't know or care where the data is, as long as it's secure, properly governed, and could be accessed quickly, all irrespective of physical location. Now for the most part, this vision, it can't be bought off the shelf. It needs to be built by placing bets on key technology partners and leveraging the so-called API economy. In other words, picking technology vendors that I trust in programmatically codifying and automating where possible my organizational edicts and business requirements into my own cloud to uniquely support my application portfolio in my modern business processes, which by the way, are rapidly evolving. Now, a key to enabling this vision is optionality. Meaning, not getting locked into one single technology platform, but rather having the confidence that as technology evolves, which it always does, I can focus my energies on adding value to my business through process innovation and human capital growth. Hello, everyone and welcome to this cube conversation and video exclusive on a major new industry development and partnership that's designed to maximize customer infrastructure options and move the new era of hybrid cloud computing forward. We have two industry leaders joining us today. Monica Kumar is the senior vice president of marketing and cloud go-to-market from Nutanix, and David Farrell is the senior vice president and general manager for global strategic alliances at Red Hat. Folks, welcome to theCUBE. Thanks for coming on. >> Good to be here today. >> Thank you so much. >> All right, so Red Hat is the poster child for open source success and it's executing on a strategy based on Red Hat Enterprise Linux, RHEL and OpenShift, the industry's leading container platform, to drive cloud-like experiences. Nutanix is a pioneering company and was the first to truly envision and successfully bring to market a cloud operating model to data center infrastructure. So you two, are getting together and forming a deeper, more substantive relationship. So Monica, tell us about the hard news. What's the scoop? >> Yeah, of course. So, first of all, I'm so excited to be here with David Farrell from Red Hat and for those of you who may not know this, I have a very deep personal connection with Red Hat from my previous role as well. I've been working with Red Hat since the early 2000s. So it gives me great pleasure to be here on behalf of Nutanix and with David from Red Hat, to be announcing a formal strategic partnership to deliver open hybrid multi-cloud solutions. Now let me explain to you what I mean by that. This partnership that we're announcing today is going to enable best-in-class solutions for building, scaling and managing containerized and virtualized cloud native applications in of course, hyper-converged infrastructure environments. So the collaboration is going to bring together these industry-leading technologies. Enabling and integrating Red Hat OpenShift and Red Hat Enterprise Linux, onto the Nutanix cloud platform, which includes, you know, our well-known Nutanix AOS and AHV hypervisor technologies. Now the question is, why are we doing all this? It's because of, as you said, Dave, the rapid evolution of hybrid cloud strategies and adoption of containers and Kubernetes in our customer base to develop, deploy and manage apps. And what we're hearing from our customers is that they want this integration between Red Hat Technologies and Nutanix Solutions. >> Okay. Thank you, Monica. So big news David, from Red Hat's perspective. Okay. So Red Hat, Nutanix, both leaders in their respective fields. David, what spurred the decision to partner from your standpoint? >> Yeah. And listen, let me echo Monica's comments as well. So we're really excited about the partnership with Nutanix. And we're excited because Nutanix is the leader in hybrid cloud infrastructure, but we're even more excited because this is what customers have been asking us to do. And that's really at the core of the decision. I think both teams, both companies have been listening to customers and we've got a groundswell of enterprise customers around the world that are asking us to come together. Bring our technologies together from a certification perspective, which Monica spoke about, right, is number one. So RHEL and OpenShift being certified on top of AHV, right. To provide the best-in-class service for enterprise grade applications, but there's more to it than just the certification. Like customers are looking for a world-class integrated support experience as well as they go into, into production. So we also have integrated support, right. So customers can contact Nutanix, they can contact Red Hat and having that seamless, that seamless experience is really, really critical and something that our customers have been asking us for. And then we'll continue to work from a roadmap perspective as well, from an engineering perspective, to make sure that our roadmaps are aligned and the customers have assurance over time and continuity over time so that they can make investments that they know are going to pay off and be safe investments and scalable investments over the long arc of their technology horizon, so. So those are, those are kind of our view of why this is good for customers and back to your points, David, it's about choice and optionality, right? And choice and consistency, and I think the verdict is in now, in the industry, that hybrid is the future, right? Everybody kind of agrees on that, right? In certain applications and certain workloads are going to run on-prem, others are going to run on the public cloud, and customers need choice to be able to decide what's the right destination for those workloads. And that's what Red Hat's all about, that's what RHEL's all about, what OpenShift is all about, is that it runs on any cloud infrastructure. Now it runs on Nutanix HCI. >> So I liked that two, one virtual throat to choke, or maybe better put, maybe one virtual hand to shake. So David staying with you, maybe you could talk about some of the other key terms of the partnership. Maybe focus on joint solutions that the customers can expect and I'm particularly interested in the engineering collaboration. I know there's a go-to-market component, but the engineering collaboration and technology innovation that we can expect. >> Yeah. So there's a few components to it, David. One is, obviously as I talked about roadmap, right. And that's, you know, our technology teams coming together, looking at the existing roadmaps for RHEL and OpenShift, but also adjacent capabilities that are coming from the Red Hat portfolio and capabilities that are coming from our ISV ecosystems and our respective ecosystems. This is a big win for our partners, as well, that have been asking us to work together. So we'll continue to keep the radar up about what some of those functionalities and capabilities ought to be. Whether we make them or somebody else makes them to pull into the, pull into the strategy, if you will. The second big principle around joint engineering is going to be around customer experience, right. So for example, we're starting off with the agnostic installer and by the way, this is coming Thursday, right? I think we're live on Thursday, the 29th, right? So this is in market, it is GA, it's available today, the 29th, right. And then we will move to the, to the UPI- so sorry, to the IPI installer in the second half of this year, right. To provide a more automated experience and then I think on the Nutanix side, Monica can, can talk to this, that Nutanix is building APIs to also automate installation, right? So first and foremost, we're all about getting the solution and getting the jointly engineered technologies working together and providing a superior customer experience for our customers that are deploying Red Hat on top of Nutanix. And that's going to be the guiding, the guiding driver, if you will, for how we work together. >> Yeah. And let me add to that. Like you said, we are, the engineering is already bearing fruit for our customers, right. As of today, when we announcing, we already have certified versions of Red Hat Linux with AHV, number one. Number two, as you said, the agnostic installer is available. We will make the automated installer available so any customer can deploy OpenShift using the Nutanix cloud platform in the very near future, right. Those are the two sort of the beginnings of the engineering and this is going to, this is a longterm partnership, so we will continue to evolve the different configurations that we, you know, that we test and that we validate as well as we go on. So I'm really excited about the fact that we are going to be offering customers fully tested, validated configurations to deploy. (cross talk) >> Go ahead >> David if I may just in there as well, I mean, so that's on the engineering side, right. But there'll also be an important thing, customers expect us to cooperate in to engage proactively as we face them, right. So that both the Red Hat, part of the agreement is that both the Red Hat and the Nutanix field teams, right the customer teams, will also be enabled, right. We'll do technical enablement for our teams, stand up proof of technologies, right. So that we're burning in some of the technology, if you will, and working out the kinks before the customer has to, right. And this is also a key value proposition is we're doing this work upstream, both in the engineering teams and in the field engagement teams so that customers can get time to market, if you will, and speed of solution deployment. >> Got it. So we'd love to talk about the sweet spot, the ideal customer profile at ICP. So is there a particular type of customer Monica, that stands to benefit most from the partnership and the certifications that you're committing to? >> Yeah. I mean, if you look at, you know, cloud native app development, that's happening across all types of segments, but particularly, you know, enterprise customers running, in all industries practically, running tier one applications or building custom applications in the cloud would be a great focus for this. Our customers who are mature in their cloud native journeys and want to build and run cloud native workloads at scale would be another type of audience. I mean, when you really think about the gamut of customers we serve jointly together, it's all the way from, you know, mid-sized customers who are, who may want a complete solution that's built for them, to enterprise customers and even globals accounts that are actually doing a lot of custom application development and then deploying things at scale. So really, I mean, anybody who's developing applications, anybody who's running workloads, you know, database workloads, applications that they're building, analytics workloads, I think for all of them. This is a very beneficial solution and I would say specifically from a Nutanix customer perspective, we've had a demand for, you know, the certification with AHV and RHEL for a long time. So that's something our customers are very much looking forward to. We have a large number of customers who already are deploying that configuration and now they know it's fully tested, fully supported, and there's an ongoing roadmap from both companies to support it. And then as far as OpenShift goes, we are super excited about the possibilities of providing that optionality to customers and really meeting them at every level of their journey to the cloud. >> So you got the product level certifications, that to me is all about trust and it's kind of table stakes, but if I have that, now I can, I can lean in. What other kind of value dimensions should we be thinking about with regard to this, this partnership? I mean, obviously, you know, cost savings, you know, speed, things like that, but maybe you could sort of add more color to that. >> Yeah. Well, absolutely, look. I mean, anytime there's joint there's integration, there is complexity that's taken out of deployment from the customer's hands and the vendors do the work upfront, that results in a lot of different benefits. Including productivity benefits, speed to market benefits, total cost of ownership benefits, as you said. So we expect that the fact that the two companies are now going to do all this work upfront for our customers, they'll be able to deploy and do things that we're doing, you know, much faster than before, right? So that's, you know, definitely we believe, and then also joined support. I think David mentioned that, the fact that we are offering joint support as well to our customers we'll be problem solving together. So the seamless support experience will provide faster resolution for our joint customers. >> Great. David, I wonder if you could kind of share your view of you know, thinking about the Nutanix cloud platform, what makes it well suited for supporting OpenShift and cloud native workloads? >> Well, I think the, look first off, they're the leader, right. They bring the most trusted and tried HCI environment in the industry to bear for customers, right. And they deliver on the promises that Monica just went through, right, around simplicity, around ease of use, around scalability, around optionality, right. And they take that complexity away and that's what customers I think are telling both Red Hat and Nutanix, and really everybody for that matter, right. Is that they want to focus on the business outcomes, on the business value, on the applications, that differentiate them. And Nutanix really takes away a lot of that complexity for the customer at the infrastructure level, right. And then RHEL, and OpenShift and Red Hat do that as well, both at the infrastructure level and at the application level, right. So when it comes to simplicity, and when it comes to choice, but consistency, both Nutanix and Red Hat have that at the core of how we build and how we engineer products that we take to market to remove that complexity so the customers can move quickly, more cost-effectively, and have that optionality that they're after. >> Yeah and David, if I may add to that, and thank you again for saying the things you said, that's exactly why our customers choose us. One of the key factors is our distributed architecture as well, because of the way it's architected, the Nutanix cloud platform delivers an environment that's highly scalable and resilient, and it's well suited for enterprise deployments of Red Hat, OpenShift at scale. The platform also includes, you know, fully integrated unified storage, which addresses many of the challenging problems faced by operators routinely in configuring and managing storage for stateful containers, for example. So there's a lot of goodness there and the combination of Red Hat, both you know, RHEL and OpenShift, any 10x platform, I believe, offers really unparalleled value to our customers in terms of the technology we bring and the integration we bring to our customers. >> Okay, great. Last question, David, maybe you first, and then Monica, you can bring us home. Where do you guys want to see this partnership going? >> We want to see it going where, customers are getting the most value of course, right. And we would like to see obviously adoption, right. So, anytime two leaders like ourselves come together, it's all about delivering for the customer. We've got a long list of customers that have been asking us, as Monica said to do this, and it's overwhelming, right. So we're responding to that. We've got a pipeline of, of customers that we're already beginning to engage on. And so we'll measure our progress based upon adoption, right, and how customers adopt the solution, the shared solution as we go forward. How they're feeding back to us, the value that they're getting, and also encouraging them to engage with us around the roadmap and where we take the solution, right. So I think those are ways that, you know, we'll be focused on adoption and satisfaction around it across the marketplace and the degree of interaction and input we get from customers with respect to the roadmap. And Monica, how do you feel about it? >> Yeah. What's success look like Monica? >> Yeah, look, we all know that technology is a means to an end, right? And the end is solving customer problems, as David said. For us, success will be when we have many, many, many, joined happy customers that are getting benefit from our platform. To me, this is just the beginning of our relationship to help customers. The best is yet to come. I'm super excited, as I said, for many reasons, but specifically, because we know there's a huge demand out there for this integrated solution between Red Hat and Nutanix and we'll start delivering it to our customers. So we've been, we'll be working very closely with our customers to see how that option goes, and we want to delight them with this, with our joint solution. That's our goal. >> Thank you. Well, David, you kind of alluded to it. Customers have been looking forward to this for quiet some time, and number of us have been thinking about this happening and to me, the key, is you're actually putting some real muscle behind it as seen in the engineering resources. And you got to have that type of commitment before you really go forward, otherwise, it's just kind of a yeah a nice press release, nice party deal, this isn't. So congratulations on figuring this out. Good luck. And we'll be really excited to watch your progress. Appreciate you guys coming to theCUBE. Okay. And thank you for watching everybody. This is Dave Vellante for theCube. We'll see you next time. (light, upbeat music)

>> Narrator: From the cube studios in Palo Alto in Boston, it's the Cube, covering empowering the autonomous enterprise brought to you by Oracle Consulting. >> Everybody. Welcome back to this special digital presentation where we are tracking the transformation of Oracle Consulting. Aaron millstone is back, he's the senior vice president of Oracle Consulting. He's joined by Jeff Davis, who's the principal at Deloitte. He's the chief Commercial Officer for Oracle at Deloitte. Gentlemen, good to see you, welcome. We see a lot of these deals. Sometimes we call them Barney deals, you know, I love you, you love me, there's a press release and that's it. But so one of the things we look for okay, is their teeth behind this? So you guys have come up with with what you call elevate. What is elevate? How did it get started? And I have some follow up questions. >> Well, elevate, really got started when Aaron and I started to look at the assets that each of the firms possessed. On the Deloitte side as Aaron suggested, we have deep capabilities and a broad range of technologies, some of them competing technologies with Oracle. At the same time, we didn't have a great deal of depth in Oracle's technical products, Oracle Cloud infrastructure, and Oracle autonomous. Our bench was not as big as Aaron's. And Aaron also had access to Oracle development at a level that we didn't have access to. So we really found ourselves in a situation where we could put those two capabilities together, and we could offer something to our clients and the broad range of Oracle customers in the field. They had access to all of the Deloitte's capabilities which include great project management, great change management, real skill around the strategic aspects of cloud migration. And Aaron had tools and had resources trained and developed around the latest Oracle Technology, they'd always be a step ahead of any SI. So together, we felt this was really a differentiation for marketplace. >> One of the things we look forward there, is there any other integration? Are you doing co-engineering? In this case maybe not co-engineering, but are there tools that you're developing that you're taking to market that you're actually leveraging? Aaron, can you talk about that a little bit and convince us that's not just the sales play? >> Yeah, sure. And Jeff alluded to some of this earlier too, right. So we definitely each had our respective tooling, right on Deloitte investments and tools. One was called ATADATA that we've seen use quite a few times now. We've invested in something we called Oracle Soar. You know, our tools are, as you'd imagine, heavily Oracle focused it's about moving Oracle technology to Oracle Cloud, ATADATA and some of the tools that Deloitte invested in are focused more comprehensively on holistically it looking at everything in a data center and everything that's across data centers and starts to develop a set of facts around this stuff. But in both cases, we actually looked at these things. And we said, "You know what if you combine these together, "we get a very comprehensive view of what exactly "it is that we're looking at with a customer". So we can tell everything from the types of traffic we see in the network to the specific versions of stuff, we can start to identify whether there's risk associated with having things not past or out of supporter, but get a very comprehensive view that's based on facts. And so you know, we took those tools and we've combined them together so that we can go into a customer and give a complete end to end view from both an Oracle and Deloitte perspective and quite frankly, it doesn't matter whether Deloitte leads or whether Oracle leads we've developed these tools together we're going to market together and we've even got you know, the templates you'd expect consultancies to have, right? So when you look at business cases, we've got joined business case templates that we've created together and that we're using actively with customers, and therefore then we're refining them and improving them each time we do it. But you know, we're at a point now where our tools are combined, our templates are combined. And we even at this you know, we were even Jeff and I were on a call earlier, yesterday actually we even got a joint, a war room that's constantly engaging with different account teams making sure that we structurally approach things in a consistent way so that we're driving business value and using the tools appropriately. >> Aaron you and I have talked about you know, data centers and building data centers and investing. It's not just it's just not a good use of capital today. There's so many other things that organizations can do. You guys have identified data center consolidation as a call it a, you know, an initiative that you're seeing customers. I wonder if we could talk about that a little bit. Is that kind of a starting point for conversations? >> Yeah, it's well it's definitely starting point right. So we call it a referred to as infrastructure lead transformation. And appetite, the appetite for that is certainly high. We were seeing an increased focus on you know, what do customers need to do to take not just a workload here and there but how do they get out of the data center business holes? So it's sort of it's a foregone conclusion, right? Like you just said, it's not really a question of should we invest in another data center? Or should we invest in up to in our data centers? The question has changed to let's move to cloud, how do we get there? And let's move in a big way. And that's, we're seeing that dialogue across all of our customers. And quit frankly, even for Oracle, it's been a learning curve for us, right? We started with an Oracle workload conversation, which is you want to move this Oracle workloads to Oracle's cloud, you want to move that Oracle workload over to cloud. And really what we're finding is it's a wholesale transformation of everything in a data center to one or more clouds right again, often, it's a multi cloud strategy and that's okay. And we you know, we were having more bigger conversations. The thing that has been really interesting as these conversations have evolved, and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination of our cloud technology, the consulting services that Oracle consulting and Deloitte can bring to bear. And then Oracle's ability to finance the whole deal makes some very compelling conversations for customers, because you can walk in to a CIO to a CFO and say, Look on day one, you can actually have a lower spend than what you have today in your data center, and get a cloud transformation underway at the same time. >> Let's talk a little bit more about that business case. Is that generally what you're seeing where it starts is let's take some costs right out and then Aaron, you and I talked about maybe investing that in the future but is that really the starting point for the vast majority of customers? Let's cut some costs right away and get a payback immediately? >> So I'd like to share our perspective. Which is, you know, nobody spends money for the sake of spending money on technology, it's got to have meaningful business value. So the conversation starts with really renewable and a path to the cloud. But there's a natural opportunity for savings in consolidation that we take advantage. We're not simply shifting from your hardware to the cloud. We're actually modernizing, which will result in significant savings. But it also gives the business something that they don't have today had at a level of security and scalability and ability to run modern technology. Much faster, much better, and much more scalable. >> Jeff, can you give us a sense as to how far you're into this elevate journey, maybe thinking about a couple of customer sizer specifically or generically, kind of where you're at with them? How far along maybe even some examples that you feel are representative. >> Sure, you know, the relationship has been probably about six, close to seven months of maturity. In that time, we've had an opportunity to work on several key clients at scale. We've worked together in collaboration on one of the nation's largest retailers in the grocery business. We've worked collaboratively in aerospace and defense, and also in the hospitality industry. In these cases, what we're finding and one is each one is in a various stage of maturity. One is done, one is in midstream, and one is at the early stages. And current economic conditions we're driving a huge pipeline right now. I think our challenge right now is making sure that we identify those clients that can best take value, take advantage of our services and our joint offering to deal with that pipeline right now. What we're finding is that the savings are at least as we projected. In some cases, we're finding even more what people say they have and what people say they do isn't necessarily what you find when you get in there. And but almost every case, we're finding that there's unused equipment, unused capacity, that they currently have redundancy, low utilization of their current assets. We can go a long way in streamlining that. Plus, I can't emphasize enough that these days security is a major concern. And we're adding a layer of security that they could never achieve themselves with soft. >> How do you guys and how to customers want to approach the transaction is it a fixed fee? Is that a TNM? Is it a situation where you participate in some of the savings or the gain? How does the pricing work? >> I'll start off by saying, each deal is really custom built around what a customer really needs. What they're trying to get out of it. Right now as an example, Op-X is very important. So we're engineering deals in a way that helps customers deal with their financial challenges, especially around Op-X. There are other structures that we can put in place. We have the backing of Oracle finance, so we can be very innovative on deals. They can be when value is attained, they can be milestone based. There's just I think, a wide variety. I don't want to say unlimited, but a wide variety of different options that we can offer our clients in order to be able to deal with whatever financial challenge or opportunity they may be looking at. >> What does success look like? You know, when you sort of you know, just less than a year in, when you're two, three, four let's say five years in and you look back, what does success look like Aaron? >> So to me successful, success is going to look like we've gotten a number of these big transformation deals in play. It's in motion naturally between our organizations not necessarily driven entirely by Jeff and I going out and driving organizational behavior right away. It's more in our DNA. But more importantly, I think we've gone into, we've gone beyond the conversation of let's move workloads we've gone into conversations of let's really talk about how to reimagine your business on top of Oracle's cloud, and have an ongoing dialogue that looks at that transformation. Once we hit that point three, four or five years from now, right, that'll be a wild success Michael. >> Jeff final comment. Deloitte has been around for 175 years. This is our birthday this year and in that time, What we've learned is there's no substitute for impact and value added to our clients. In our perspective, what success looks like is client success. Find success means improved scalability of their operations. Securing their technology and their data at a substantially lower cost, so that they can focus on what their core business is, and focus less on technology, that success to Deloitte. >> Great, guys, thanks so much. Great session, we're not only witnessing the rebirth of Oracle consulting, but there's clearly a transformation going on. And it's cultural. Gentlemen, congratulations on your partnership. And thanks so much for coming in the cube. >> Thank you so much. >> Thanks for having us.

>> Narrator: From the Cube Studios in Palo Alto and Boston, it's the Cube, covering empowering the autonomous enterprise, brought to you by Oracle Consulting. >> Hi everybody, welcome back to this special digital presentation where we are tracking the transformation of Oracle Consulting. Aaron Millstone is back, he's the Senior Vice President of Oracle Consulting and he's joined by Jeff Davis whose Principal at Deloitte, he's the Chief Commercial Officer for Oracle at Deloitte. Gentlemen, good to see you, welcome. We see a lot of these deals, sometimes we call them Barney deals, you know, I love you, you love me, there's a press release and that's it. But, so one of the things we look for, okay, is there teeth behind this? Now, you guys have come up with what you call Elevate. What is Elevate, how did it get started? Then I have some follow up questions. >> Well, Elevate really got started when Aaron and I started to look at the assets that each of the firms possessed. On the Deloitte side as Aaron suggested, we have deep capabilities and a broad range of technologies. Some of them could be technologies with Oracle. At the same time, we didn't have a great deal of depth in Oracle's technical products, Oracle Cloud infrastructure and Oracle Autonomous. Our bench was not as big as Aaron's. And Aaron also had access to Oracle development at a level that we didn't have access to. So we really found ourselves in a situation where we could put those two capabilities together and we could offer something to our clients. And the broad rage of Oracle customers in the field, they had access to all of Deloitte's capabilities, which include great project management, great change management, real skill around the strategic aspects of cloud migration and Aaron had tools and had resources trained and developed around the latest Oracle technology. They'd always be a step ahead of any SI. So together we felt this was really a differentiation for the market place. >> One of the things we look for, is there any other integration? Are you doing co-engineering? In this case maybe not co-engineering, but are there tools that you're developing that you're taking to market that you're actually leveraging? Aaron, can you talk about that a little bit and convince us it's not just a sales play? >> Yeah, sure, and Jeff eluded to some of this earlier too, right. So, we definitely each had our respective tool line, right? Deloitte's investments and tools, one of them's called ATADATA, that we've seen used quite a few times now. We've invested in something we called Oracle Soar. You know, our tools are, as you'd imagine, heavily Oracle focused. It's about moving Oracle technology to Oracle cloud. ATADATA and some of the tools that Deloitte's invested in are focused more comprehensively on wholistically at looking at everything in a data center and everything that's across data centers and start to develop a set of facts around this stuff. But in both cases we actually looked at these things and we said, you know what if you combine these together, we get a very comprehensive view of what exactly it is that we're looking at with a customer. So we can tell everything from the types of traffic we see on the network, to the specific versions of stuff. We can start to identify whether there's risk associated with having things not patched or out of support, but again a very comprehensive view that's based on facts. And so, you know, we took those tools and we combined them together so that we can go in to a customer and give a complete end to end view from both an Oracle and Deloitte perspective. And quite frankly it doesn't matter whether Deloitte leads or whether Oracle leads, we've developed these tools together, we're going to market together, and we've even got, you know, the templates you'd expect consultancies to have right? So when you look at business cases, we've got joint business case templates that we've created together and that we're using actively with customers and then we're refining them and improving them each time we do it. But, you know, we're at a point now where our tools are combined, our templates are combined and we even at this, you know, we were even- Jeff and I were on a call earlier, yesterday actually, we even got a joint war room that's constantly engaging with different account teams and making sure that we structurally approach things in a consistent way so that we're driving business value and using the tools appropriately. >> Aaron you and I have talked about, you know, data centers and building data centers and investing; it's just not a good use of capital today. There are so many other things that organizations can do. You guys have identified data center consolidation as, I'll call it a you know, an initiative that you're seeing customers. I wondered if you could talk about that a little bit, is that kind of a starting point for conversations? >> Yeah, well it's definitely a starting point. So we call it and refer to it as infrastructure lead transformation and the appetite for that is certainly high. We're seeing an increased focus on you know, what do customers need to do to take not just a workload here and there, but how to they get out of the data center business hole? So it's sort of, it's a forgone conclusion. Like you just said, it's not really a question of should we invest in another data center, or should we invest in up-tooling our data centers? The question has changed to, let's move to cloud, how do we get there? And let's move in a big way. And that's, we're seeing that dialogue across all of our customers. And quite frankly, even for Oracle, it's been a learning curve for us, right? We started with an Oracle workload conversation, which is: do you want to move this Oracle workload to Oracle's cloud? Do you want to move that Oracle workload to Oracle's cloud? And really what we're finding is it's a wholesale transformation of everything in a data center to one or more clouds right? Again, often it's a multicloud strategy and that's okay. And we, you know, we're having more-bigger conversations. The thing that has been really interesting is these conversations have evolved and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination of our cloud technology, the consulting services that Oracle consulting and Deloitte can bring to bear and then Oracle's ability to finance the whole deal, makes some very compelling conversations for customers cause you can walk in to a CIO, to a CFO and say look on day one, you can actually have a lower spend than what you have today in your data center, and get a cloud transformation on Deloitte at the same time. >> Let's talk a little bit more about that business case. Is that generally what you're seeing where it starts as let's take some costs right out? And then, Aaron, you and I talked about maybe investing that in the future, but is that really the starting point for the vast majority of customers? Let's cut some costs right away and get a payback immediately? >> So I'd like to share our perspective which is, you know, nobody spends money for the sake of spending money on technology. It's got to have meaningful business value. So the conversation starts with really renewal and a path to the cloud, but there's a natural opportunity for savings and consolidation that we take advantage. We're not simply shifting from your hardware to the cloud. We're actually modernizing, which will result in significant savings. But it also gives the business something that they don't have today at a level of security and scalability. An ability to run modern technology much faster, much better, and much more scalable. >> Jeff could you give us a sense as to how far you're into this elevate journey maybe thinking about a couple of customers either specifically or generically, you know, where you're at with them, how far along, maybe even some examples that you feel are representative. >> Sure, you know, the, the relationship has been probably about six, close to seven months of maturity. In that time we've had an opportunity to work on several key clients at scale. We've worked together in collaboration on one of the nation's largest retailers in the grocery business. We've worked collaboratively in aerospace and defense, And also in the hospitality industry. In these cases, what we're finding, and one is, each one is in a various stage of maturity. One is done, one is in midstream, and one is at the early stages. And current economic conditions are driving a huge pipeline right now. I think our challenge right now is making sure that we identify those clients that can best take advantage of our services and our joint offering to deal with that pipeline right now. What we're finding is that the savings are at least as we've projected, in some cases we're finding even more. What people say they have and what people say they do isn't necessarily what you find when you get in there. But almost every case, we're finding that there's unused equipment, unused capacity that they currently have, redundancy, low utilization of their current assets. We can go a long way in streamlining that, plus, I can't emphasize enough that, these days, security is a major concern. And we're adding a layer of security that they could never achieve themselves. I'll start off by saying each deal is really custom built around what a customer really needs, what they're trying to get out of it. Right now, as an example, OPEX is very important. So we're engineering deals in a way that helps customers deal with their financial challenges, especially around OPEX. There are other structures that we can put in place. We have the backing of Oracle finance, so we can be very innovative on deals. They can be when value is attained, they can be milestone based. There's just, I think, a wide variety, I don't want to say unlimited, but a wide variety of different options that we can offer our clients in order to be able to deal with whatever financial challenge or opportunity they may be looking at. >> What does success look like, you know, when you were, you know, just less than a year in. When you're two, three, four, let's say five years in and you look back, what does success look like, Aaron? >> So to me success will, success is going to look like we've gotten a number of these big transformation deals in play, it's in motion naturally between our organizations, not necessarily driven entirely by Jeff and I going out and driving the organizations to behave the right way, it's more in our DNA. But more importantly, I think we've gone into, we've gone beyond the conversation of let's move workloads and we've gone into conversations of let's really talk about how to reimagine your business on top of Oracle's cloud and have an ongoing dialogue that looks at that transformation. Once we hit that point, three, four, five years from now, that'll be a wild success in my book. >> Jeff? Final thoughts. >> Deloitte's been around for 175 years, this is our birthday, this year. And in that time what we've learned is there's no substitute for impact and value added to our clients. In our perspective, what success looks like is client's success, client's success means improved scalability of their operations, securing their technology and their data at a substantially lower cost, so that they can focus on what their core business is and focus less on technology. That's success to Deloitte. >> Great Guys thanks so much, great session. We're not only witnessing the rebirth of Oracle consulting, but there's clearly a transformation going on and it's cultural. Gentlemen, congratulations on your partnership and thanks so much for coming in theCUBE. >> Thank you so much. >> Thanks for having us.

>> Narrator: From the Cube Studios in Palo Alto and Boston, it's the Cube, covering empowering the autonomous enterprise, brought to you by Oracle Consulting. >> Hi everybody, welcome back to this special digital presentation where we are tracking the transformation of Oracle Consulting. Aaron Millstone is back, he's the Senior Vice President of Oracle Consulting and he's joined by Jeff Davis whose Principal at Deloitte, he's the Chief Commercial Officer for Oracle at Deloitte. Gentlemen, good to see you, welcome. We see a lot of these deals, sometimes we call them Barney deals, you know, I love you, you love me, there's a press release and that's it. But, so one of the things we look for, okay, is there teeth behind this? Now, you guys have come up with what you call Elevate. What is Elevate, how did it get started? Then I have some follow up questions. >> Well, Elevate really got started when Aaron and I started to look at the assets that each of the firms possessed. On the Deloitte side as Aaron suggested, we have deep capabilities and a broad range of technologies. Some of them could be technologies with Oracle. At the same time, we didn't have a great deal of depth in Oracle's technical products, Oracle Cloud infrastructure and Oracle Autonomous. Our bench was not as big as Aaron's. And Aaron also had access to Oracle development at a level that we didn't have access to. So we really found ourselves in a situation where we could put those two capabilities together and we could offer something to our clients. And the broad rage of Oracle customers in the field, they had access to all of Deloitte's capabilities, which include great project management, great change management, real skill around the strategic aspects of cloud migration and Aaron had tools and had resources trained and developed around the latest Oracle technology. They'd always be a step ahead of any SI. So together we felt this was really a differentiation for the market place. >> One of the things we look for, is there any other integration? Are you doing co-engineering? In this case maybe not co-engineering, but are there tools that you're developing that you're taking to market that you're actually leveraging? Aaron, can you talk about that a little bit and convince us it's not just a sales play? >> Yeah, sure, and Jeff eluded to some of this earlier too, right. So, we definitely each had our respective tool line, right? Deloitte's investments and tools, one of them's called ATADATA, that we've seen used quite a few times now. We've invested in something we called Oracle Soar. You know, our tools are, as you'd imagine, heavily Oracle focused. It's about moving Oracle technology to Oracle cloud. ATADATA and some of the tools that Deloitte's invested in are focused more comprehensively on wholistically at looking at everything in a data center and everything that's across data centers and start to develop a set of facts around this stuff. But in both cases we actually looked at these things and we said, you know what if you combine these together, we get a very comprehensive view of what exactly it is that we're looking at with a customer. So we can tell everything from the types of traffic we see on the network, to the specific versions of stuff. We can start to identify whether there's risk associated with having things not patched or out of support, but again a very comprehensive view that's based on facts. And so, you know, we took those tools and we combined them together so that we can go in to a customer and give a complete end to end view from both an Oracle and Deloitte perspective. And quite frankly it doesn't matter whether Deloitte leads or whether Oracle leads, we've developed these tools together, we're going to market together, and we've even got, you know, the templates you'd expect consultancies to have right? So when you look at business cases, we've got joint business case templates that we've created together and that we're using actively with customers and then we're refining them and improving them each time we do it. But, you know, we're at a point now where our tools are combined, our templates are combined and we even at this, you know, we were even- Jeff and I were on a call earlier, yesterday actually, we even got a joint war room that's constantly engaging with different account teams and making sure that we structurally approach things in a consistent way so that we're driving business value and using the tools appropriately. >> Aaron you and I have talked about, you know, data centers and building data centers and investing; it's just not a good use of capital today. There are so many other things that organizations can do. You guys have identified data center consolidation as, I'll call it a you know, an initiative that you're seeing customers. I wondered if you could talk about that a little bit, is that kind of a starting point for conversations? >> Yeah, well it's definitely a starting point. So we call it and refer to it as infrastructure lead transformation and the appetite for that is certainly high. We're seeing an increased focus on you know, what do customers need to do to take not just a workload here and there, but how to they get out of the data center business hole? So it's sort of, it's a forgone conclusion. Like you just said, it's not really a question of should we invest in another data center, or should we invest in up-tooling our data centers? The question has changed to, let's move to cloud, how do we get there? And let's move in a big way. And that's, we're seeing that dialogue across all of our customers. And quite frankly, even for Oracle, it's been a learning curve for us, right? We started with an Oracle workload conversation, which is: do you want to move this Oracle workload to Oracle's cloud? Do you want to move that Oracle workload to Oracle's cloud? And really what we're finding is it's a wholesale transformation of everything in a data center to one or more clouds right? Again, often it's a multicloud strategy and that's okay. And we, you know, we're having more-bigger conversations. The thing that has been really interesting is these conversations have evolved and especially as we work with our partners at Deloitte, has been that, you know, we think that the combination of our cloud technology, the consulting services that Oracle consulting and Deloitte can bring to bear and then Oracle's ability to finance the whole deal, makes some very compelling conversations for customers cause you can walk in to a CIO, to a CFO and say look on day one, you can actually have a lower spend than what you have today in your data center, and get a cloud transformation on Deloitte at the same time. >> Let's talk a little bit more about that business case. Is that generally what you're seeing where it starts as let's take some costs right out? And then, Aaron, you and I talked about maybe investing that in the future, but is that really the starting point for the vast majority of customers? Let's cut some costs right away and get a payback immediately? >> So I'd like to share our perspective which is, you know, nobody spends money for the sake of spending money on technology. It's got to have meaningful business value. So the conversation starts with really renewal and a path to the cloud, but there's a natural opportunity for savings and consolidation that we take advantage. We're not simply shifting from your hardware to the cloud. We're actually modernizing, which will result in significant savings. But it also gives the business something that they don't have today at a level of security and scalability. An ability to run modern technology much faster, much better, and much more scalable. >> Jeff could you give us a sense as to how far you're into this elevate journey maybe thinking about a couple of customers either specifically or generically, you know, where you're at with them, how far along, maybe even some examples that you feel are representative. >> Sure, you know, the, the relationship has been probably about six, close to seven months of maturity. In that time we've had an opportunity to work on several key clients at scale. We've worked together in collaboration on one of the nation's largest retailers in the grocery business. We've worked collaboratively in aerospace and defense, And also in the hospitality industry. In these cases, what we're finding, and one is, each one is in a various stage of maturity. One is done, one is in midstream, and one is at the early stages. And current economic conditions are driving a huge pipeline right now. I think our challenge right now is making sure that we identify those clients that can best take advantage of our services and our joint offering to deal with that pipeline right now. What we're finding is that the savings are at least as we've projected, in some cases we're finding even more. What people say they have and what people say they do isn't necessarily what you find when you get in there. But almost every case, we're finding that there's unused equipment, unused capacity that they currently have, redundancy, low utilization of their current assets. We can go a long way in streamlining that, plus, I can't emphasize enough that, these days, security is a major concern. And we're adding a layer of security that they could never achieve themselves. I'll start off by saying each deal is really custom built around what a customer really needs, what they're trying to get out of it. Right now, as an example, OPEX is very important. So we're engineering deals in a way that helps customers deal with their financial challenges, especially around OPEX. There are other structures that we can put in place. We have the backing of Oracle finance, so we can be very innovative on deals. They can be when value is attained, they can be milestone based. There's just, I think, a wide variety, I don't want to say unlimited, but a wide variety of different options that we can offer our clients in order to be able to deal with whatever financial challenge or opportunity they may be looking at. >> What does success look like, you know, when you were, you know, just less than a year in. When you're two, three, four, let's say five years in and you look back, what does success look like, Aaron? >> So to me success will, success is going to look like we've gotten a number of these big transformation deals in play, it's in motion naturally between our organizations, not necessarily driven entirely by Jeff and I going out and driving the organizations to behave the right way, it's more in our DNA. But more importantly, I think we've gone into, we've gone beyond the conversation of let's move workloads and we've gone into conversations of let's really talk about how to reimagine your business on top of Oracle's cloud and have an ongoing dialogue that looks at that transformation. Once we hit that point, three, four, five years from now, that'll be a wild success in my book. >> Jeff? Final thoughts. >> Deloitte's been around for 175 years, this is our birthday, this year. And in that time what we've learned is there's no substitute for impact and value added to our clients. In our perspective, what success looks like is client's success, client's success means improved scalability of their operations, securing their technology and their data at a substantially lower cost, so that they can focus on what their core business is and focus less on technology. That's success to Deloitte. >> Great Guys thanks so much, great session. We're not only witnessing the rebirth of Oracle consulting, but there's clearly a transformation going on and it's cultural. Gentlemen, congratulations on your partnership and thanks so much for coming in theCUBE. >> Thank you so much. >> Thanks for having us.

(upbeat music) >> Hello, brilliant cloud community, and welcome back to AWS re:Invent. We are here in Las Vegas, Nevada. I'm Savannah Peterson, joined by my co-host Dave Vellante. Dave, how you doing? >> I'm doing well, thanks, yeah. >> Yeah, I feel like... >> I'm hanging in there. >> you've got a lot of pep in your step today for the fourth day. >> I think my voice is coming back, actually. >> (laughs) Look at you, resilient. >> I was almost lost yesterday, yeah. >> Yeah. (laughs) >> So, I actually, at a Hitachi event one time almost completely lost my voice. The production guys pulled me off. They said, "You're done." (Savannah laughing) They gave me the hook. >> You got booted? >> Dave: Yeah, yeah. >> Yeah, yeah, you actually (laughs) got the hook, wow. >> So, I have good memories of Hitachi. >> I was going to say (Dave laughing) interesting that you mentioned Hitachi. Our two guests this morning are from Hitachi. Sid and KP, welcome to the show. >> Thank you. >> Savannah: How you guys doing? Looking great for day four. >> Great. Thank you. >> Great. >> Hanging in there. >> Thank you, Dave and Savannah. (Savannah laughing) >> Dave: Yeah, cool. >> Savannah: Yeah. (laughs) >> Yeah, it was actually a Pentaho thing, right? >> Oh, Pentaho? Yeah. >> Which kind of you guys into that software edge. It was right when you announced the name change to Hitachi Vantara, which is very cool. I had Brian Householder on. You remember Brian? >> Yeah, I know. >> He was explaining the vision, and yeah (indistinct). >> Yeah. Well, look at you a little Hitachi (indistinct). >> Yeah, I've been around a long time, yeah. >> Yeah, all right. (Dave laughing) >> Just a casual flex to start us off there, Dave. I love it. I love it. Sid, we've talked a lot on the show about delivering outcomes. It's a hot theme. Everyone wants to actually have tangible business outcomes from all of this. How are customers realizing value from the cloud? What does that mean? >> See, still 2007, 2008, it was either/or kind of architecture. Either I'm going to execute my use cases on cloud or I'm going to keep my use cases and outcomes through edge. But in the last four or five years and specifically we are in re:Invent, I would talk about AWS. Lot of the power of hyperscalers has been brought to edge. If you talk about the snowball family of AWS, if you talk about monitor on edge devices, if you talk about the entire server list being brought into Lambda coupled inside snowball, now the architecture premise, if I talk about logical shift is end. Now the customers are talking about executing the use cases between edge and cloud. So, there is a continuum rather than a binary bullion decision. So, if you are talking about optimizing a factory, earlier I'll do the analytics at cloud, and I'll do machine on edge. Now it is optimization of a factory outcome at scale across my entire manufacturing where edge, private cloud, AWS, hyperscalers, everything is a continuum. And the customer is not worried about where, which part of my data ops, network ops, server ops storage ops is being executed. >> Savannah: It's like (indistinct). >> The customer is enjoying the use cases. And the orchestration is abstracted through an industrial player like Hitachi working very collaboratively with AWS. So, that is how we are working on industrial use cases right now. >> You brought up manufacturing. I don't think there's been a hotter conversation around supply chain and manufacturing than there has been the last few years. I can imagine taking that guessing game out for customers is a huge deal for you guys. >> Big because if you look at the world today, right from a safety pin, to a cell phone jacket, to a cell phone, the entire supply chain is throttled. The supply chain is throttled because there are various choke points. >> Savannah: Yeah. >> And each choke points is surrounded by different kind of supply and geopolitical issues. >> Savannah: 100%. >> Now, if we talk about the wheat crisis happening because of the Ukraine-Russia war, but the wheat crisis actually creates a multiple string of impacts which impact everything. Silicon, now we talk about silicon, but we then forget about nickel. Nickel is also controlled in one part of that geopolitical conflict. So, everything is getting conflagrated into a very big supply issue. So, if your factories are not performing beyond optimum, if they are not performing at real, I'm, we are talking about factory, hyperscale of the factory. The factory needs to perform at hyperscale to provide what the world needs today. So, we are in a very different kind of a scenario. Some of the economists call it earlier the recession was because of a demand constraint. The demand used to go down. Today's recession is because the supply is going down. The demand is there, but the supply is going down. And there is a different kind of recession in the world. The supply is what is getting throttled. >> And the demand is somewhat unpredictable too. People, you know, retailers, they've... >> Especially right now. >> kind of messed up their inventory. And so, the data is still siloed. And that's where, you know, you get to, okay, can I have the same experience across clouds, on-prem, out to the edge? Kind of bust those silos. >> Yep. >> You know, I dunno if it's, it's certainly not entirely a data problem. There's (laughs), like you say, geopolitical and social issues. >> Savannah: There's so much complexity. >> But there's a data problem too. >> Yes. >> Big. >> So, I wonder if you could talk about your sort of view of, point of view on that cross-cloud, hybrid, out to the edge, what I call super cloud? >> Absolutely. So, today, if you look at how enterprises are adopting cloud or how they're leveraging cloud, it's not just a hosting platform, right? It is the platform from where they can draw business capabilities. You heard in the re:Invent that Amazon is coming up with a supply chain service out of the box in the cloud. That's the kind of capabilities that business wants to draw from cloud today. So, the kind of multicloud or like hybrid cloud, public cloud, private cloud, those are the things which are kind of going to be behind the scenes. At the end of the day, the cloud needs to be able to support businesses by providing their services closer to their consumers. So, the challenges are going to be there in terms of like reliability, resilience, cost, security. Those are the ones that, you know, many of the enterprises are grappling with in terms of the challenges. And the way to solve that, the way how we approach our customers and work with them is to be able to bring resilience into the cloud, into the services which are running in cloud, and by driving automation, making autonomous in everything that you do, how you are monitoring your services, how we are making it available, how we are securing it, how we are making it very cost-effective as well. It cannot be manually executed; it has to be automated. So, automation is the key in terms of making the services leveraged from all of this cloud. >> That's your value add. >> Absolutely. >> And how do I consume that value add? Is it sort of embedded into infrastructure? Is it a service layer on top? >> Yeah, so everything that we do today in terms of like how these services have to be provided, how the services have to be consumed, there has to be a modern operating model, right? I think this is where Hitachi has come up with what we are calling as Hitachi Application Reliability Center and Services. That is focusing on modern operating, modern ways of like, you know, how you support these cloud workloads and driving this automation. So, whether we provide a hyper-converged infrastructure that is going to be at the edge location, or we are going to be able to take a customer through the journey of modernization or migrating onto cloud, the operating model that is going to be able to establish the foundation on cloud and then to be able to operate with the right levels of reliability, security, cost is the key. And that's the value added service that we provide. And then the way we do that is essentially by looking at three principles: one, to look at the service in totality. Gone are the days you look at infrastructure separately, applications separately, data and security separately, right? >> Savannah: No more silos. >> No more silos. You look at it as a workload, and you look at it as a service. And number two is to make sure that the DevOps that you bring and what you do at the table is totally integrated and it's end to end. It's not a product team developing a feature and then ops team trying to keep the lights on. It has to be a common backlog with the error budget that looks at you know, product releases, product functionalities, and even what ops needs to do to evolve the product as well. And then the third is to make sure that reliability and resiliency is inbuilt. Cloud offers native durability, native availability. But if your service doesn't take advantage of that, it's kind of going to still be not available. So, how do you kind of ingrain and embed all of these things as a value add that we provide? >> There's a lot of noise. We've got hybrid cloud. We've got multicloud. We've got a lot going on. It adds to the complexity. How do you help customers solve that complexity as they begin their transformation journey? I mean, I'm sure you're working with the biggest companies, making really massive change. How do you guide them through that process? >> So, it is to look at the outcome working backwards, like what AWS does, right? Like, you know, how do you look at the business outcome? What is the value that you're looking to drive? Again, it's not to be pinned through one particular cloud. I know there is lot of technology choices that you can make and lot of deployment models that you can choose from. But at the end of the day, having a common operating model which is kind of like modern, agile, and it is kind of like keeping the outcomes in the mind, that is what we do with our customers to be able to create that operating model, which completes the transformation, by the way. And cloud is just one part of the LEGO blocks which provides that overall scheme and then the view for driving that overall transformation. >> So, let's paint a picture. Let's say you've got this resilient foundation; you've kind of helped the customers build that out. How do they turn that into value for their customers? Do you have any examples that you can share? That'd be great. >> Yeah, I can start with what we're doing for one of the, you know, world's largest facility, infrastructure, power, cooling, security, monitoring company that has their products deployed in 2,000 locations across the globe. For them, and always on business means you are monitoring the temperature. You are monitoring the safety of people who are within the facility, right? A temperature shift of one to two degree can affect even the sustainability goals of NARC, our customer, but also their end consumers. So, how do you monitor these kind of like critical parameters? How do you have a platform? >> Savannah: Great example, yeah. >> How you have cloud resources that are going to be always on, that are going to be reliable, that are going to be cost-effective as well is what we are doing for one of our customers. Sid can talk about another example as well. >> Great. >> Yeah, go for it, Sid. >> So, there are examples: rail. We are working with a group in England; it's called West Coast Partnership. And they had a edge device which was increasing in size. Now, this edge device was becoming big because the parameters which go into the edge device were increasing because of regulation and because the rail is part of national security infrastructure. We have worked with West Coast Partnership and Hitachi Rail, which is a group company, to create a miniaturization of this edge device, because if the size of the edge device is increasing on the train, then the weight of the train increases, and the speed profile, velocity profile, everything goes down. So, we have miniaturized the edge device. Secondly, all the data profiles, signal control, traction control, traction motors, direction control, timetable compliance, everything has been kept uniform. And we have done analytics on cloud. So, what is the behavior of the driver? What is a big breaking parameter of the driver? If the timetable has being missed, is there an erratic behavior being demonstrated by the driver to just meet the timetable? And the timetable is a pretty important criteria in rail because if you miss one, then... So, what we have done is we have created an edge-to-cloud environment where the entire rail analytics is happening. Similarly, in another group company, Hitachi Energy, they had a problem that arguably one of the largest transformer manufacturer in the world. The transformer is a pretty common name now because you're seeing what is happening in Ukraine. Russia went after the transformers and substations before the start of the winter so that their district heating can be meddled with. Now, the transformer, it had a lead time of 17 weeks before COVID. So, if you put me an order of a three-phase transformer, I can deliver it to you in 17 weeks. After and during COVID, the entire lead time increased to 57 to 58 weeks. In cases of a complex transformer, it even went up to something like two years. >> Savannah: Ooh! >> Now, they wanted to increase the productivity of their existing plant because there is only that much sheet metal, that much copper for solenoid, that much microprocessor and silicon. So, they wanted to increase the output of their factory from 95 to 105, 10 more transformers every day, which is 500 and, which is 3,650 every- >> Savannah: Year. >> Year. Now, to do that, we went to a very complex machine; it's called a guard machine. And we increased the productivity of the guard machine by just analyzing all the throttles and all the wastages which are happening there. There are multiple case studies because, see, Hitachi is an industrial giant with 105 years of body of work. KP and I just represent the tip of the digital tip of the arrow. But what we are trying to do through HARC, through industry cloud, through partnership with AWS is basically containerizing and miniaturizing our entire body of work into a democratized environment, an industrial app store, if I may say, where people can come and take their industrial outcomes at ease without worrying about their computational and network orchestration between edge and cloud. That's what we are trying to do. >> I love that analogy of an industrial app cloud. Makes it feel easier in decreasing the complexity of all the different things that everyone's factoring into making their products, whatever they're making. So, we have a new challenge here on theCUBE at AWS re:Invent, where we are looking for your 30-second hot take, your Instagram reel, sound bite. What's the most important story or theme either for you as a team or coming out of the show? You can ponder it for a second. >> It might be different. See, for me, it is industrial security. Industrial OT security should be the theme of the Western world. Western world is on the crosshairs of multiple bad actors. And the industrial security is in the chemical plants, is in the industrial plants, is in the power grids, is in our postal networks and our rail networks. They need to be secured; otherwise, we are geopolitically very weak. Gone are the days when anyone is going to pick up a battle with America or Western world on a field. The battle is going to be pretty clandestine on an cyber world. And that is why industrial security is very important. >> Critical infrastructure and protecting it. >> Absolutely. >> Well said, Sid. KP, what's your hot take? >> My take is going to be a modern operating model, which is going to complete the transformation and to be able to tap into business services from cloud. So, a modern operating model through HARC, that is going to be my take. >> Fantastic. Well, can't wait to see what comes out of Hitachi next. Sid, KP... >> KP: Thank you. >> thank you so much for being here. >> Sid: Thank you. >> Absolutely. >> Dave: Thanks, guys. >> Savannah: This is I could talk to you all about supply chain all day long. And thank all of you for tuning in to our continuous live coverage here from AWS re:Invent in fantastic Sin City. I'm Savannah. Oh, excuse me. With Dave Vellante, I'm Savannah Peterson. You're watching theCUBE, the leader in high tech coverage. (digital xylophone music)

>>Okay, welcome back to everyone. Cube's live coverage of VMware Explorer, 2022. I'm John fur, host of the cube. Two sets three days of live coverage. Dave Ante's here. Lisa Martin, Dave Nicholson, all host of the cube 12 interviews today, just we're with Rocklin and rolling, getting down to the end of the show. As we wind down and look back and look at the future. We've got Steven Jones. Here's the general manager of the VMware cloud on AWS. He's with Amazon web service. Steven Jones. Welcome to the cube. >>Thanks John. >>Welcome back cube alumni. I've been on many times going back to 2015. Yeah. >>Pleasure to be here. Great >>To see you again. Thanks for coming on. Obviously 10 years at AWS, what a ride is that's been, come on. That's fantastic. Tell me it's been crazy. >>Wow. Learned a lot of stuff along the way, right? I mean, we, we, we knew that there was a lot of opportunity, right? Customers wanting the agility and flexibility of, of the cloud and, and we, we still think it's early days, right? I mean, you'll hear Andy say that animals say that, but it really is. Right. If you look at even just the amount of spend that's being spent on, on clouds, it's in the billions, right. And the amount of, of spend in it is still in the trillion. So there's, there's a long way to go and customers are pushing us hard. Obviously >>It's been interesting a lot going on with VM. We're obviously around with them, obviously changing the strategy with their, their third generation and their narrative. Obviously the Broadcom thing is going on around them. And 10 years at abs, we've been, we've been, this'll be our ninth year, no 10th year at reinvent coming up for us. So, but it's 10 years of everything at Amazon, 10 years of S three, 10 years of C two. So if you look at the, the marks of time, now, the history books are starting to be written about Amazon web services. You know, it's about 10 years of full throttle cube hyperscaler in action. I mean, I'm talking about real growth, like >>Hardcore, for sure. I'll give you just one anecdote. So when I first joined, I think we had maybe two EC two instances back in the day and the maximum amount of memory you could conversion into one of these machines was I think 128 gig of Ram fast forward to today. You literally can get a machine with 24 terabytes of Ram just in insane amounts. Right? My, my son who's a gamer tells me he's got 16 gig in his, in his PC. You need to, he thinks that's a lot. >>Yeah. >>That's >>Excited about that. That's not even on his graphics card. I mean, he's, I know it's coming next. The GPU, I mean, just all >>The it's like, right? >>I mean, all the hardware innovation that you guys have done, I mean, look at every it's changed. Everyone's changed their strategy to copy AWS nitro, Dave ante. And I talk about this all the time, especially with James Hamilton and the team over there, Peter DeSantos, these guys have, are constantly going at the atoms and innovating at the, at the level. I mean that, that's how hardcore it is over there right now. I mean, and the advances on the Silicon graviton performance wise is crazy. I mean, so what does that enabling? So given that's continuing, you guys are continuing to do great work there on the CapEx side, we think that's enabling another set of new net new applications because we're starting to see new things emerge. We saw snowflake come on, customer of AWS refactor, the data warehouse, they call it a data cloud. You're starting to see Goldman Sachs. You see capital one, you see enterprise customers building on top of AWS and building a cloud business without spending the CapEx >>Is exactly right. And Ziggy mentioned graviton. So graviton is one of our fastest growing compute families now. And you know, you mentioned a couple of ISVs and partners of ours who are leaning in heavily on porting their own software. Every event Adam announced that we're working with SAP to, to help them port their HANA cloud, which is a, a database of service offering HANA flagship to graviton as well. So it's, it's definitely changing. >>And I think, you know, one of the, and we're gonna circle back to VMware is kind of a point to this. This conversation is that, is that if you look at the trends, right, okay. VMware really tried hard to do cloud and they had a good shot at it V cloud air, but it just, they didn't have the momentum that you guys had at AWS. We saw a lot, lot of other stragglers try to do cloud. They fell off the road, OpenStack, HP, and the list goes on and on. I don't wanna get into that, but the point is, as you guys become more powerful and you're open, right? So you have open ecosystem, you have people now coming back, taking advantage and refactoring and picking up where they left off. VMware was the one of the first companies that actually said, you know what pat Gelsinger said? And I was there, let's clear up the positioning. Let's go all in with AWS. That's >>Right >>At that time, 2016. >>Yeah. This was new for us, for >>Sure. And then now that's set the standard. Now everybody else is kind of doing it. Where is the VMware cloud relationship right now? How is that going out? State's worked. >>It's working well very well. It's I mean, we're celebrating, I think we made the announcement what, five years ago at this conference. Yeah. 2016. So, I mean, it's, it's been a tremendous ride. The best part are the customers who were coming and adopting and proving to us that our vision back then was the right vision. And, and, and what's been different. I think about this relationship. And it was new for us was that we, we purposely went after a jointly engineered solution. This wasn't a, we've got a, a customer or a partner that's just going to run and build something on us. This is something where we both bring muscle and we actually build a, a joint offering together. Talk about, about the main difference. >>Yeah. And that, and that's been working, but now here at this show, if you look at, if you squint through the multi-cloud thing, which is like just, I think positioning for, you know, what could happen in, in a post broad Broadcom world, the cloud native has traction they're Tansu where, where customers were leaning in. So their enterprise customer is what I call the classic. It, you know, mainstream enterprise, which you guys have been doing a lot of business with. They're now thinking, okay, I'm gonna go on continu, accelerate on, in the public cloud, but I'm gonna have hybrid on premise as well. You guys have that solution. Now they're gonna need cloud native. And we were speculating that VMware is probably not gonna be able to get 'em all of it. And, and that there's a lot more cloud native options as customers want more cloud native. How do you see that piece on Amazon side? Because there's a lot of benefits between the VMware cloud on AWS and the services that you guys have natively in your cloud. So we see customers really taking advantage of the AWS goodness, as well as expanding the cloud side at VMware cloud on AWS. >>Yeah. There's probably two ways I would look at this. Right? So, so one is the combination of VMware cloud on AWS. And then both native services just generally brings more options to customers. And so typically what we're seeing now is customers are just able to move much faster, especially as it comes to data center, evacuations, migrating all their assets, right? So it used to be that, and still some customers they're like, I I've gotta think through my entire portfolio of applications and decide what to refactor. And the only way I can move it to cloud is to actually refactor it into some net new application, more and more. We're actually seeing customers. They've got their assets. A lot of them are still on premises in a VMware state, right. They can move those super quick and then modernize those. And so I think where you'll see VMware and AWS very aligned is on this, this idea of migrate. Now you need to get the benefits of TCO and, and the agility that comes with being in the cloud and then modernize. We took a step further, which is, and I think VMware would agree here too, but all of the, the myriad of services, I think it's 200 plus now AWS native services are for use right alongside any that a customer wants to run in VMware. And so we have examples of customers that are doing just, >>And that's, that's how you guys see the native and, and VMware cloud integrating in. Yeah, that's, that's important because this, I mean, if I always joke about, you know, we've been here 12 years listening in the hallways and stuff, you know, on the bus to the event last night, walking the parties and whatnot, listening in the streets, there's kind of two conversations that rise right to the top. And I wanna get your reaction to this Steven, because this seems to be representative of this demographic here at VMware conference, there's conversations around ransomware and storage and D dub and recovery. It's all, a lot of those happen. Yeah. Clearly a big crowd here that care about, you know, Veeam and NetApp and storage and like making sure stuff's secure and air gapped. And a lot of that kind of, I call nerdy conversations and then the other one is, okay, I gotta get the cloud story. >>Right. So there's kind of the operational security. And then there's like, okay, what's my path to true cloud. I need to get this moving. I need to have better applications. My company is the application now not it serves some sort of back office function. Yeah. It's like, my company is completely using technology as its business. So the app is the business. So that means everything's technology driven, not departmental siloed. So there's a, that's what I call the true cloud conversation. How do you, how do you see that evolving because VMware customers are now going there. And I won't say, I won't say they're behind, but they're certainly going there faster than ever before. >>I think, I think, I mean, it's an interesting con it's an interesting way to put it and I, I would completely agree. I think it's, it's very clear that I think a lot of customer companies are actually being disrupted. Right. And they have to move fast and reinvent themselves. You said the app is now becoming the company. Right. I mean, if, if you look at where not too many years back, there were, you know, big companies like Netflix that were born in the cloud. Right. Airbnb they're disruptors. >>There's, that's the >>App, right? That's the app. Yeah. So I, I would exactly agree. And, and that's who other companies are competing with. And so they have to move quickly. You talked about some, some technology that allows them to do that, right? So this week we announced the general availability of a NetApp on tap solution. It's been available on AWS for some time as a fully managed FSX storage solution. But now customers can actually leverage it with, with VMC. Now, why is that important? Well, there's tens of thousands of customers running VMware. On-premises still, there's thousands of them that are actually using NetApp filers, right? NetApp, NetApp filers, and the same enterprise features like replication. D do you were talking about and Snapp and clone. Those types of things can be done. Now within the V VMware state on AWS, what's even better is they can actually move faster. So consider replicating all this, you know, petabytes and petabytes of data that are in these S from on-premises into AWS, this, this NetApp service, and then connected connecting that up to the BMC option. So it just allows customers much, much. >>You guys, you guys have always been customer focus. Every time I sat down with the Andy jazzy and then last year with Adam, same thing we worked back from, I know it's kind of a canned answer on some of the questions from media, but, but they do really care. I've had those conversations. You guys do work backwards from the customer, actually have documents called working backwards. But one of the things that I observed, we talked about here yesterday on the cube was the observations of reinvent versus say, VM world. Now explore is VM world's ecosystem was very partner-centric in the sense of the partners needed to rely on VMware. And the customers came here for both more of the partners, not so much VMware in the sense there wasn't as much, many, many announcements can compare that to the past, say eight years of reinvent, where there's so much Amazon action going on the partners, I won't say take as a second, has a backseat to Amazon, but the, the attendees go there generally for what's going on with AWS, because there's always new stuff coming out. >>And it's, it's amazing. But this year it starts to see that there's an overlap or, or change between like the VMware ecosystem. And now Amazon there's, a lot of our interviews are like, they're on both ecosystems. They're at Amazon's show they're here. So you start to see what I call the naturalization of partners. You guys are continuing to grow, and you'll probably still have thousands of announcements at the event this year, as you always do, but the partners are much more part of the AWS equation, not just we're leasing all these new services and, and oh, for sure. Look at us, look at Amazon. We're growing. Cause you guys were building out and look, the growth has been great. But now as you guys get to this next level, the partners are integral to the ecosystem. How do you look at that? How has Amazon thinking about that? I know there's been some, some, a lot of active reorgs around AWS around solving this problem or no solve the problem, addressing the need and this next level of growth. What's your reaction to >>That? Well, I mean, it's, it's a, it's a good point. So I have to be honest with you, John. I, I, I spent eight of my 10 years so far at AWS within the partner organization. So partners are very near and dear to my heart. We've got tens of thousands of partners and you are you're right. You're starting to see some overlap now between the VMware partner ecosystem and what we've built now in AWS and partners are big >>By the way, you sell out every reinvent. So it's, you have a lot of partners. I'm not suggesting that you, that there's no partner network there, but >>Partners are critical. I mean, absolutely naturally we want a relationship with a customer, but in order to scale the way we need to do to meet the, the needs of customers, we need partners. Right. We, we can't, we can't interact with every single customer as much as we would like to. Right. And so partners have long built teams and expertise that, that caters to even niche workloads or opportunity areas. And, and we love partners >>For that. Yeah. I know you guys do. And also we'll point out just to kind of give props to you guys on the partner side, you don't, you keep that top of the stack open on Amazon. You've done some stuff for end to end where customers want all Amazon, but for the most part, you let competition come in, even on, so you guys are definitely partner friendly. I'm just observing more the maturization of partners within the reinvent ecosystem, cuz we're there every year. I mean, it's, I mean, first of all, they're all buzzing. I mean, it's not like there's no action. There's a lot of customers there it's sold out as big numbers, but it just seems that the partners are much more integrated into the value proposition of at a AWS because of the, the rising tide and, and now their enablement, cuz now they're part of the, of the value proposition. Even more than ever before >>They, they really are. And they, and they're building a lot of capabilities and services on us. And so their customers are our customers. And like you say, it's rising tide, right. We, we all do better together. >>Okay. So let's talk about the VMware cloud here. What's the update here in terms of the show, what's your, what's your main focus cuz a lot of people here are doing, doing sessions. What's been some of the con content that you guys are producing here. >>Yeah. So the best part obviously is a always the customer conversations to partner conversations. So a, a lot of, a lot of sessions there, we did keynote yesterday in Ryan and I, where we talked about a number of announcements that are, I think pretty material now to the offering a joint announcement with NetApp yesterday as well around the storage solution I was talking about. And then some, some really good technical deep dives on how the offering works. Customers are still interested in like how, how do I take what I've got on premises and easily move into AWS and technology like HSX H CX solution with VMware makes it really easy without having to re IP applications. I mean, you know, it is super difficult sometimes to, to move an application. If you've got figure out where all the firewall rules are and re iPing those, those things source. But yeah, it's, it's been fantastic. >>A lot of migrations to the cloud too. A lot of cloud action, new cloud action. You guys have probably seen an uptake on services right on the native side. >>Yes. Yes. For sure. So maybe I just outlined some of the, some of the assets we made this week. So absolutely >>Go ahead. >>We, we announced a new instance family as a, a major workhorse underneath the VMware cloud offering called I, I, you mentioned nitro earlier, this is on, based on our latest generation of nitro, which allows us to offer as you know, bare metal instances, which is, which is what VMware actually VMware was our first partnership and customer that I would say actually drove us to really get Nira done and out the door. And we've continued to iterate on that. And so this I four, I instance, it's based on the, the latest Intel isolate processor with more than double the Ram double the compute, a whopping 75 gigabytes per second network. So it's a real powerhouse. The cool thing is that with the, with the NetApp storage solution that we, we discussed, we're now disaggregating the need to provision, compute and storage at the same time. It used to be, if you wanted to add more storage to your VSAN array, that was on a V VMware cloud. Yeah. You'd add another note. You might not need more compute for memory. You'd have to add another note. And so now customers can simply start adding chunks of storage. And so this opens up customers. I had a customer come to me yesterday and said, there's no reason for us not to move. Now. We were waiting for something that like this, that allowed us to move our data heavy workloads yeah. Into VMware cloud. It's >>Like, it's like the, the alignment. You mentioned alignment earlier. You know, I would say that VMware customers are lined up now almost perfectly with the hybrid story that's that's seamless or somewhat seems it's never truly seamless. But if you look at like what Deepak's doing with Kubernetes and open source, you, you guys have that there talking that big here, you got vs a eight vSphere, eight out it's all cloud native. So that's lined up with what you guys are doing on your services and the horsepower. They have their stuff, you have yours that works better together. So it seems like it's more lined up than ever before. What's your take on that? Do you agree? And, and if so, what folks watching here that are VMware customers, what's, what's the motivation now to go faster? >>Look, it is, it is absolutely lined up. We are, as, as I mentioned earlier, we are jointly engineering and developing this thing together. And so that includes not just the nuts and bolts underneath, but kind of the vision of where it's going. And so we're, we're collectively bringing in customer feedback. >>What is that vision real quick? >>So that vision has to actually help an under help meet even the most demanding customer workloads. Okay. So you've got customer workloads that are still locked in on premises. And why is that? Well, it used to be, there was big for data and migration, right? And the speed. And so we continue to iterate this and that again is a joint thing. Instead of say, VMware, just building on AWS, it really is a, a tight partnership. >>Yeah. The lift and shift is a, an easy thing to do. And, and, and by the way, that could be a hassle too. But I hear most people say the reason holding us back on the workloads is it's just a lot of work, a hassle making it easier is what they want. And you guys are doing that. >>We are doing that. Absolutely. And by the way, we've got not just engineering teams, but we've got customer support teams on both sides working together. We also have flexible commercial options, right? If a customer wants to buy from AWS because they've negotiated some kind of deal with us, they can do that. They wanna buy from VMware for a similar reason. They could buy from VMware. So are >>They in the marketplace? >>They are in the market. There, there are some things in the marketplace. So you talked about Tansu, there's a Tansu offering in the marketplace. So yes. Customers can >>Contract. Yeah. Marketplaces. I'm telling you that's very disruptive. I'm Billy bullish on the market AIOS marketplace. I think that's gonna be a transformative way. People have what they procure and fully agree, deploy and how, and channel relationships are gonna shift. I think that's gonna be a disruptive enabler to the partner equation and, and we haven't even seen it yet. We're gonna be up there in September for their inaugural event. I think it's a small group, but we're gonna be documenting that. So even final question for you, what's next for you? What's on the agenda. You got reinvent right around the corner. Your P ones are done. Right? I know. Assuming all that, I turn that general joke. That's an internal Amazon joke. FYI. You've got your plan. What's next for the world. Obviously they're gonna go this, take this, explore global. No matter what happens with Broadcom, this is gonna be a growth wave with hybrid. What's next for you and your team with AWS and VMware's relationship? >>Yeah. So both of us are hyper focused on adding additional options, both from a, an instance compute perspective. You know, VMware announced some, some, some additional offerings that we've got. We've got a fully complete, like, so they're, they announce things like VMware flex compute V VMware flex storage. You mentioned earlier, there was a conversation around ransomware. There's a new ransomware based offering. So we're hyper focused on rounding out, continuing to round out the offering and giving customers even more choice >>Real quick. Jonathan made me think about the ransomware we were at reinforce Steven Schmidtz now the CSO. Now you got a CSO. AJ's the CSO. You got a whole focus, huge emphasis on security right now. I know you always have, but now it's much more public. It's PO more positive, I think, than some of the other events I've been to. It's been more Lum and doom. What's the security tie in here with VMware. Can you share a little bit real quick on the security piece update around this relationship? >>Yeah, you bet. So as you know, security for us is job zero. Like you don't have anything of security. And so what are the things that, that we're excited about specifically with VMware is, is the latest offering that, that we put together and it's called this, this ransomware offering. And it's, it's a little bit different than other ransomware. I mean, a lot of people have ransomware offerings today, just >>Air gap. >>Right, right, right. Exactly. No, that's easy. No, this one is different. So on the back end, so within VMC, there's this, this option where CU we can be to be taking iterative snapshots of a customer environment. Now, if an event were to occur, right. And a customer is like, I have to know if I'm compromised, we can actually spin up super easy. This is cloud. Remember? Yeah. We can spin up a, a copy of this environment, throw a switch, pick a snapshot with NSX. So VMware NSX firewall it off and then use some custom tooling from VMware to actually see if it's been compromised or not. And then iterate through that until you actually know you're clean. And that's different than just tools that do maybe a >>Little bit of scam. We had Tom gills on yesterday and, and one of the things Dave ante had to leave is taking the sun to college is last one in the house and B nester now, but Tom Gill was on. We were talking about how good their security story is ware. And they really weren't showboating it as much as they could have here. I thought they could have done a better job, but this is an example of kind of them really leaning in with you guys. That's the key part of the relationship. >>Yeah, it really is. And I think this is something is materially different than what you can get elsewhere. And it's exciting for, >>Okay. Now the, the real question I want to know is what's your plans for AWS reinvent the blockbuster end of the year, Amazon surf show that gets bigger and bigger. I know it's still hybrid now, but it's looking be hybrid, but people are back in person last year. You guys were the first event really come back and still had massive numbers. AWS summit, New York at 19,000. I heard last week in Chicago, big numbers. So we're expecting reinvent to be pretty large this year. What are you, what are you gonna do there? What's your role there? >>We are expecting, well, I'll be there. I cover multiple businesses. Obviously. We're, we're planning on some additional announcements, obviously in the VMware space as well. And one of the other businesses I run is around SAP. And you should look for some things there as well. Yeah. Really looking forward to reinvent, except for the fact that it's right after Thanksgiving. But I think it >>Always ruins my, I always get an article out. I like, why are you we're having, we're having Thanksgiving dinner. I gotta write this article. It's gotta get Adam, Adam. Leski exclusive. We, every year we do a, a CEO sit down with Andy was the CEO and then now Adam. But yeah, it's a great event to me. I think it sets the tone. And it's gonna be very interesting to see the big clouds are coming to the big cloud. You guys, and you guys are now called hyperscalers. Now, multiple words. It's interesting. You guys are providing the CapEx goodness for everybody else now. And that relationship seems to be the new, the new industry standard of you guys provide the enablement and then everyone you get paid, cuz it's a service. A whole nother level of cloud is emerging in the partner network, GSI other companies. Yeah. >>Yeah. I mean we're really scaling. I mean we continue to iterate and release regions at a fast clip. We just announced support for VMware in Hong Kong. Yeah. So now we're up to 21 regions for this service, >>The sovereign clouds right around the corner. Let's we'll talk about that soon. Steven. Thanks for coming. I know you gotta go. Thank you for your valuable time. Coming in. Put Steven Jones. Who's the general manager of the VMware cloud on AWS business. Four AWS here inside the cube day. Three of cube coverage. I'm John furrier. Thanks for watching. We'll be right back.

>>We're back at the red hat summit, 2022, the Cube's continuous coverage. This is day one. We're here all day tomorrow as well. My name is Dave LAN. I'm here with Paul Gillon. Matt Hicks is here. He's executive vice president of products and technologies at red hat. Matt. Good to see you. Thanks for coming on. Nice to see you face to >>Face. Thanks. Thanks Dave. Thanks fall. It's uh, good to be here. >>So you took a different tack with your, uh, keynote today, had a homage to ate a love lace and Serena VA Ramian, which was kind of cool. And your, your point was they weren't noted at their time and nobody was there to build on their early ideas. I mean, ate a lovely, I think it was a century before, right. Ram illusion was a, you know, decade plus, but, and you tied that to open source. You can give us your kind of bumper sticker of your premise there. >>Yeah. You know, I think I have a unique seat in this from red hat where we see, we see new engineers that come in that sort of compete on a world stage and open source and the, the best, which is easy to track just in contributions are not necessarily from the background you would expect them from. And, and it, for me, it's always really inspiring. Like you have this potential in, in people and open source is a great model for getting that out. We told the history story, cuz it, I think when you look over history, just some of that potential that's been ignored before. Um, sure. It's happening right now. But getting that tied into open source models, we think can hopefully let us tap into a little more than, than we have in the past. So >>Greatly. So when you're thinking about innovation and specific to open source, is it a case where I wonder, I really know the history here of open source. Maybe you can educate me. Is it the case where open source observes, uh, a de factacto standard let's say, or some other proprietary approach and says, Hey, we can build that in open and that's so the, the inspiration, or is it an innovation flywheel that just invents? >>I think it's both at this stage. So in the, in the early days, if you take something like Linux, it was a little more of, you know, there was the famous memo of like, this is gonna be a hobbyist project. We're just gonna light up X 86 hardware and have an operating system we can work with. That was a little more of like this standards were there, but it was, can we just build a better operating system with it, be >>Better than Unix cuz would live up to the promise of units. >>That's right. Where in Unix you had some standardization to models, but it wasn't open in that same sense. Uh, Linux has gone well beyond a hobbyist project at this point. Uh, but that was maybe that clone model, um, to units these days though, if you take something like Kubernetes or take something like Ansible, that's just more pure innovation, you didn't necessarily have a Kubernetes model that you're building a better version of it was distributed computing and how can we really make that tick and, um, bring a lot of great minds into that to build it. Um, so I think you see both of 'em, which is it's one of the things that makes open source fun. Like it, it has a broad reach at this point. >>There's one major area of software that opensource has not penetrated yet. And that is applications. I mean, we, there have been, you know, sugar CRM there have been open E R P applications and, and such, none of them really taken off and in fact tend to be drawn back to being proprietary. Why do you suppose opensource has been limited to infrastructure and has hasn't branched out further? >>Yeah, I think part of it is, uh, where can you find a, a model where lots of different companies are, are comfortable contributing into, if you have one solution and one domain from one company you're gonna struggle more getting a real vibrant community built around that. When you pick an area like infrastructure or core platforms, you have a lot of hardware providers, the use cases span from traditional apps to AI. You have a lot of places to run that it's a massive companies. So >>Volume really, it, >>It really is. You just have an interest that spans beyond companies and that's where we've seen open source projects really pick up and build critical mass. How about crypto >>Dows? I mean, that's right. Isn't that the, a form of open source? I mean, is it, isn't that the application really what exactly what you're talking about? It is true or >>It, well, if you look at cryptography encryption algorithms even go to, um, quantum going forward, I think a lot of quantum access will be driven in an open source model. The machines themselves, uh, will be machines, but things like kids kit, uh, that is how most people will access that. So it is a powerful model for getting into areas that are, um, pretty bleeding edge on it as well. >>We were talking, go ahead. We were talking before Andy mentioned that hardware and software increasingly intersecting. That was the theme we heard at the, at the keynote this morning. Yeah. Why do you believe that's happening and how do you see that? How does that affect what you do? >>Uh, I, I think the reason that's happening is there is a push to make decisions closer and closer to users on it because on one side, like law of physics and then on the other of it's just a better experience for it. And so whether that is in transportation or it's in telecommunications, so you see this push outside of data centers to be able to get at that data locally for it. Uh, but if that's the draw, I think also we're seeing hardware architectures are changing. There are, um, standards like arm that are lower power that lets you run pretty powerful compute at the edge as well. And I think it's that combination saying we can do a lot at the edge now and that actually benefits us building user experiences in a lot of different domains is, is making this pull to the edge, uh, really quickly. But it's, it's a, it's an exciting time to be seeing that happening >>And, and, and pretty powerful is almost an understatement. When you think about what the innovations that are going on. Right. I mean, in, in, in, in particular, at the edge mm-hmm, <affirmative>, I mean, you're seeing Moore's law be blown. Everybody says Moore's law is dead, but you're seeing the performance of when you combine the GPU and the CPU and the NPU and the Excel. I mean, it blows away anything we've historically known. Yeah. So you think about the innovations in software that occurred as a result of Moore's law. What are the new beachheads that we could potentially see in open source? >>I think when you start taking the, um, AI patterns on this and AI is a broad space, but if you go even to like machine learning of optimization type use cases, you start, uh, leveraging how you're gonna train those models, which gets you into, you know, CPUs and GPU and TPUs in that world. And then you also have the, how am I gonna take that train model, put it on a really lightweight device and efficiently ask that model questions. And that gets you into a different architecture design. Uh, but that combination, I think we're gonna see these domains build differently where you have mass compute training type capabilities, and then push that as close to the user, as you can, to make decisions that are more dynamic than traditional codes. >>So a lot of the AI that's done today is modeling that's done in the cloud. Yep. And what you're talking about at the edge, and you think about, you know, vehicles is real time influencing. Yep. And that's, that's massive amounts of data. It's a different architecture. Right. And requires different hardware presumably and different software. So, and you guys, well, Linux is obviously there. Yeah. >>That's, that is the, where we get excited about things like the GM announcement you are in the square, in that, um, aspect of running compute right at the end user and actually dealing with sensor and data, that's changing there to help, you know, in this case, like driver's assistance capabilities with it. But I think that the innovation we'll see in that space will be limitless on it. So it's, it's a nice combination of it too. And you'll still have traditional applications that are gonna use those models. I think of it almost as it's like the new middleware, we have our traditional middleware techniques that we know and patterns. Um, they will actually be augmented with things like, um, machine learning models and those capabilities to just be more dynamic. So it's a fun time right now seeing >>That conversion a lot of data too. And again, I wonder how much of that is even gonna be persisted prob probably enough, cuz there's gonna be so much of it, how much it'll come back to the cloud a lot, but maybe not most of it, but it's still massive amounts relative to what we've seen before >>It is. And this is, you know, you've heard our announcement around OpenShift streams in those capabilities. So in red hat, what we do, we will always focus on hybrid with it because a lot of that data it'll be dropped at the edge cuz you won't need it, but the data you act on and the data you need, you will probably need at your indice and in your cloud. And maybe even on premise and capabilities like Kafka and the ability to pick and stream and stay consistent. We think there's a set of really exciting services to be able to enable that class of development where, um, hopefully we'll be at the center of, of that. >>You, you announced, uh, today an agreement with GM, uh, to, to build on their all to five platform, uh, auto industry, very proprietary historically, uh, with their technology. Do you think that this is an opportunity to crank that open? >>A absolutely. I think in, I've been involved with opensource for, for a while, but I think all of them started in a very proprietary model. And then you get to a tipping point where open source models can just unlock more innovation than proprietary models and you see 'em tip and flip. And I think in the automotive industry and actually in a lot of other industries, the capabilities of being able to combine hardware and software fast with the latest capabilities, it'll drive more innovation than just sticking to proprietary models. So yeah, I believe it will be one of many things to come there. >>You've been involved in open surf for a while. Like how long of a while people must joke about when they look at you, Matt, they must say, oh, did you start when you were five? Yeah. >>It's >>Uh, you get that a lot. >>I, I do, uh, it's my, my children, I think aged me a bit, but uh, but yeah, for me it was the mid nineties. That's when I started with, uh, with open source. >>It was uh, wow. So >>It's been a long, long >>Run. You made the statement in your keynote, that software development is, is, is messy. I presumably part of your job is to make it less messy. But now we talk about all this, these new beachheads, this new new innovations, a lot of it's unknown. Yeah. And it could be really messy. So who are the, who is there a new breed of developer that's emerging? Are they gonna come over from the cloud developers or is it the, is it the OT crowd and the, and the OT crowd? That's gonna be the new developers. >>I, I wish I knew, but I would say, I think you, I do think you'll get to almost like a laws of physics type challenge where you won't learn everything. You're not gonna know, uh, the depths of 5g implementation and Kubernetes and Linux on that. And so for us, this is where ecosystem providers are really, really critical where you have to know your intersection points, but you also have to partner really well to actually drive innovation in some of these spaces cuz uh, the domains themselves are massive on it. So our areas we're gonna know hybrid, we're gonna know, you know, open source based platforms to enable hybrid. And then we're gonna partner with companies that know their domains and industries really well to bring solutions to customers. So >>I'm curious about partnering, uh, cuz Paul cor may mentioned that as well as, as being critical, do you have sort of a template for partnering or is each partnership unique? >>Um, >>I think at this point, uh, the market's changing so fast that, uh, we do have templates of, uh, who are you going to embed solutions with? Who are you going to co-sell with? And co-create uh, the challenge in technology though, is it shifts so quickly. If you go back five years, maybe even 10 years, public cloud probably wasn't as dominant. Um, as it is now, now we're starting to see the uptick of edge solutions, probably being, having as much draw as public cloud. And so I think for us, the partnership follows the innovation on those curves and finding the right model where that works for customers is the key thing for us. But I wish there was more of a pattern. We could say it stays stable for decades, but I think it changes with the market on, we do that. >>But you know, it's funny cuz you you've, you see every 15 years or so the industry gets disrupted. I mean we certainly saw it with mainframes and PC and then the internet and then the cloud, uh, you guys have kind of been there. Well Linux throughout, I mean, okay. It built the, built the internet, built the cloud, it's building the edge. So it's almost, I don't wanna say your disruption proof cause that's just, that's gonna jinx you, but, but in, but you've architected the products in a way that they're compatible with these new errors. Mm-hmm <affirmative> of industry, >>Everything needs an operating >>System. Everything needs an operating system, but you've seen operating systems come and go, you know, and, and Linux has survived so many different waves. Why, how >>You know, I, I think for us, when you see open source projects, they definitely get to a critical mass where you have so much contribution, so much innovation there that they're gonna be able to follow the trends pretty well. If you look at a Linux, whatever the next hardware innovation that comes out is Linux has enough gravity that, um, it's open, it's successful, you're gonna design to it. The capability will be there. I think you're seeing similar things in Kubernetes now where if you're going to try to drive application innovation, it is a model that gives you a ton of reach. You have thousands of contributors. That's been our model though is find those projects be influential in, 'em be able to drive value in life cycles. But I think it's that open source model that gives us the durability where it can keep changing and tracking to new patterns. So, so >>Yeah, there's been a lot of open source that wasn't able to sustain. So I think you guys obviously have a magic formula. That's true. >>We, there is a, there is some art to picking, I think millions of projects. Uh, but you've gotta watch for that. >>Yeah. Open source is also a place place where failed products go to die. Yeah. <laugh> so you have to be sure you're not, you're not in that corner. >>Yeah. Well >>Look at Kubernetes. I mean the fact that that actually happened is it's astounding to me when you think about it, I mean even red hat was ready to go on a different path. What if that had happened? Who knows? Maybe it never would've maybe to your point about Ava Lovelace, maybe it would've taken a decade to, or run revolution. >>You know, I think in some of these you have to, you have to watch really closely. We obviously have a lot of signals of what will make good long term health. And I, I don't think everyone looks at those the same. We look at 'em from trademark controls and how foundations are structured and um, who the contributors are and the spread of that. And it's not perfect. But I think for us, you have to have those that longevity built in there where you will have a spike of popularity that has the tendency to just, um, fall apart on it. So we've been yeah. Doing that pretty >>Well conditions for a long life is something that's a that's maybe it's an art form. I don't know if it's a data form. It's a culture. Maybe, maybe it's >>Cultural. Yeah. Probably a combination some days I think I'm like this could part art, part science. Yeah. But, uh, but it's certainly a fun space to be in and see that happen. It, um, yeah, it's inspiring to me. Yeah. >>Matt Hicks. Great to have you back on the cube and uh, good job on the keynote really, um, interesting angle that you took. So >>Congratulations. Thanks for having me. >>Yeah. You're very welcome. All right. Keep it right there. Dave ante for Paul Gillon red hat summit, 2022 from Boston. You're watching the cube.

(soft bright music) (logo swooshing) (crowd murmuring) >> Hey everyone, welcome to Las Vegas! Lisa Martin here on the ground with theCUBE about Coupa Inspire 2022. And can you hear the buzz behind me? It is so great to be in person. Nick Banich joins me, the Chief Revenue Officer and Global Partnership Manager for the Coupa Alliance at Miebach Consulting. Nick, it's great to have you on the program. >> Thanks for having me, Lisa. First time here at Inspire and it's exciting. >> Is it exciting? It's great to see this room packed. >> It is! It feels, like, the pandemic is finally- >> It does. >> Maybe behind us. >> Right, fingers crossed. (Nick chuckles) So talk to us a little bit about Miebach Consulting and a little bit about the Coupa Partnership, so the audience gets that understanding of what you guys do. >> Yeah, guess, we're kind of new to the Coupa ecosystem. You could say, we came as part of the acquisition of LLamasoft. So Miebach is a supply chain focus, advisory, consultancy, engineering firm. So we have three different business lines. Supply chain strategy, where we do things like supply chain design and the Coupa platform, planning, inventory, engineering, automation studies, and distribution centers, with the labor crunch that we're facing right now. As well as we have a digital transformation group that works on getting the decision-making as a supply chain industry into the digital realm and away from Microsoft Excel. >> Let's talk about the digitization of the supply chain. You know, one of the things that we've seen in the last couple of years is this massive acceleration to digital because businesses in every industry had no choice. But where are, what are the current trends from a digital supply chain perspective? >> You know, I think the, kind of the integration of the compression of the decision-making cycle has really gotten companies to not look at strategic decisions then operational decisions and tactical decisions in execution. That all has to be compressed now with the volatility we've all been exposed to. I mean, basically, for the past 20 years, we took the supply chain and turned it into a Swiss watch. It was very long, very well orchestrated. But with the volatility, with labor issues, with the land war in Europe, this volatility and change is requiring companies to be much more adaptive. And they've had to compress that decision cycle down and the Coupa platform, certainly, from a supply chain standpoint, absolutely helps infuse that process to shorten time from question to answer and allow you to address strategic and tactical topics in parallel to one another and not kind of waterfall down over the decision making product. >> That's important, 'cause these days, there is no time for waterfalls. So let's unpack the Coupa supply chain design platform. Talk to me about it, what it does and how it is helping that acceleration? >> Yeah, so it's incredibly powerful. And what it allows you to do is create that digital representation. We can take a three dimensional world and put it into a two dimensional linear program. And within the same platform we can optimize strategically and take a look at end to end type of supply chain decisions, nearshoring, onshoring, supplier diversification, and risk aspects. We can look at it more operationally. We're actually looking at which manufacturing plans should make what? What distribution centers should serve what customers? How do I segment my products? How do I segment my customers? Then within the same modules, you can use and go to your inventory optimization, not only optimize inventory, but also simulate it, which gives you phenomenal power in a world where there is so much uncertainty. You can apply risk in those questions of what if, so you're ready. So that way, when the thing happens, you're not that scrambling to have analysts crunch Excel files to see what do you do to normalize inventory levels or normalize your supplier base. You're able to be more proactive with the predictive and prescriptive analytics that the full suite provides for you. >> That is essential. If that's one of the lessons we've learned in the last couple of years, not if, but when. >> Nick: Yes. >> Talk to me about customers that are using the platform. What are some of the, using it well. What are some of the things that they have in common? >> You know, I think the organizations that are implementing it well, look for it. They view it as a real platform. You know, historically, supply chain design, network optimization, was seen as a tool, and companies implement it as a tool. You purchase licenses, you assign a couple of people to work on it from your analytical department and you just went with it. This is a very powerful platform to completely revolutionize how you make decisions within your supply chain. And you need to approach it the same way you approach a new warehouse management system, a new planning platform, a new labor management system, the change management aspects, the organizational aspects, the education of stakeholders on what is this, demystifying it. So it's not a black box and everybody knows what it can and should do and how best to utilize it. So those organizations that view it as more than a distribution network tool, "Hey, where do I put my new warehouse? Hey, this lease is coming up in Central Europe. It's coming up in Ohio. Do I extend the lease? Do I need to move?" That's, like, a level zero maturity on our maturity graph. The very mature companies are using it and infusing it both strategically, operational, technically, and are using it for distribution decisions, transportation decisions around mode selection, production footprint decisions. You have the capability to have a digital twin. And by having, the other thing companies struggle with is, they just build one model. >> Uh-hmm. >> I start out, I buy the product. You know, I get it built in, I move everything to the cloud and then I do a distribution solve for the U.S. And then the European group says, "Hey, that was great. That was insightful. Can we do the same thing in Europe?" And you take that model and then you add Europe into it. And then the production group says, "Hey, you know, we're thinking about changing some of our make-buy decisions. Can you model what the effect would be on total cost if we did do some nearshoring?" And all of a sudden, you turn your one model that you had built for a specific purpose into this Christmas tree where everybody's hanging their ornaments. And what you really need to do is having a modeling strategy. What type, you should have a volume, a portfolio of models you can pull from and say, "Hey, here's our strategic end to end model. Hey, here's our tactical Asian production models. Hey, here's our total landed cost for top 15% of our customers." And having that set of models, so you have right models, the right questions. >> Uh-hmm. >> That's what the companies that are really scaling this and really excelling. And you'll notice a pattern. The companies that are excelling that have the Coupa platform, typically, you'll find them on list, like, Gartner's Top 25 and things along those lines. Because it is a very powerful platform when you unlock the art of the possible with it. >> Sounds, like, those are companies that are very innovative. But where does the company, that maybe isn't there yet? How do they start? 'Cause it sounds, like, there's a tremendous wealth of potential and opportunities that the technology can deliver. Do they have to start with executive buy-in? What do you see as kind of, like, some of those early steps? >> This is a change management exercise from the very beginning. So creating that sense of urgency, creating your powerful coalition. You have to start with that. If you view this as, "Hey, we're going to have a tool, we're going to use this once, and then our supply chain's fixed for the next 10 years." I mean, I think most leaders are realizing that those days are long gone. That supply chain design has to be a continual topic at the top levels. You know, supply chain is on the lips of every politician and every (chuckles) board member right now. So this is a wonderful moment for those supply chain leaders that have wanted to infuse a greater level of digital decision-making. This is the perfect opportunity. You can get buy-in, like, you never had before. Your CFO is probably analyzing labor inflation, fuel inflation rates, disruptions on supply base, and you're probably having to deal with more pressure out of the CFO and its department than you ever had to in the past. We see it with our clients. The pressure is on with those leaders. And this allows you to very quickly be much more holistic in that decision-making. You're not relying on how good was the analyst, that made this Excel file that told you to open up this plan, move this distribution center, serve this customer base in this way. It's not based on how that data looks and how good that analyst was, you're infusing an entire practice into your organization. >> That's critical, because every company these days is a data company. If they're not, they're not going to be around. It's about the ability to have visibility extract the value from the data to make those data-driven decisions, because we don't have time. We heard a lot about that from a real-time perspective and the keynote this morning that's table stakes run any organization. >> Yeah, and with the move of the platform to the cloud, as part of the Coupa ecosystem, with the DDM, with the rapid model builder, and all those things that come along with it, it will significantly squash the amount out of time you have from question to answer. Because the first time you do this, it probably takes four months. And of that four months to ask that question, and get an answer, build your model, you know, replicate the 3D world in that 2D environment. Over half of that time is spent on cleaning data, building the baseline model, aligning with finance, they peanut butter spread certain aspects of cost onto the onto SKUs and really getting correct cost allocations for A, B, and C SKUs. You spend half your time just playing around with your data to get the model to work right now. Once you add that model, next time, question and answer infinitely quicker. But you have to have a good data strategy. You have to have the right data architecture. If you don't have that specific to supply chain, leaders really need to get on that. Because what we see a lot of times is organizations will have an enterprise data strategy. >> Uh-hmm. >> And they're going to build a data warehouse or a data lake, you know, whatever, I'm a consultant, so I'm also guilty of the buzz words. But, we kind of call it the supply chain data plan. You don't need to wait for the whole enterprise to get ready to have all of your data sorted out in a single instance, homogenize. Start collecting that supply chain data, have a data strategy around it. So that way, you can start replicating these things then you can feed it back into the enterprise data strategy. But you have to get your data right. It's the old adage garbage in garbage out. >> Right. >> It's still true to this day. No matter how powerful the analytical tools are, we're infusing machine learning, artificial intelligence into some of the solves in the platform. But if you don't have that good data, you're going to struggle. So that's a key piece to it, getting that executive buy-in and having that right data strategy will set you on a much smoother path to success than if you don't do those things. >> Right, the data strategy is critical. If not, one of the biggest competitive differentiators these days. Where is the chief data officer, the chief digital officer, the chief information officer, in these conversations that Miebach is having with customers? >> Too often, not at the forefront enough. >> Lisa: Really? >> Those clients that have that group, have that organization, and they have influencing power, those programs go much quicker, much simpler. The rate of adoption, the scalability of the program. All of a sudden, you're not thinking about, "What am I going to do with one or two analysts interacting with the product?" You're now developing apps. You have your planners interfacing with it. You have capacity managers interacting with the digital model. Those that don't have that, do have much more impetus, because it's always the adage of, "Oh, IT, what do we do? And our data's a mess. We have this data program and our IT resources are super constrained." So you have to bring those people to the table. You have to have them part of the conversation, 'cause they can be an incredible enabler if you bring them and get them bought in. >> That's a great point of those enablers. And especially, given the fact that nobody has extra time to waste here. This is a, everything is so fast moving. You mentioned supply chain being on the lips of every politician. Everybody's lips, everybody's expecting some delivery that is delayed for whatever reason. >> I mean, 12 years ago when I started with the firm, and people, "Oh, what does the firm do?" I'm like, "Oh we're a global supply chain consultancy." And they're like, "What?" >> Yeah. (laughs) >> You know, now everybody knows. And they're like, "Oh, yeah!" It's amazing that the revolution, I mean, the pandemic has been incredibly unfortunate with all the hardships and deaths and everything and still dealing with hotspots and things. I think it did bring supply chain, supply chain was struggling for a while to get a seat at the table. Organizations started having chief supply chain officers. You know, that was a new thing not that long ago. This has brought table stakes to the supply chain organization. My challenge back to us is what do we do with this now? >> Right. >> For years, as an industry, we've asked to be at the table, we're here now, spotlight's on us. It's time for us to deliver. Things like the Coupa platform are an incredible enabler of that. But you got to get it right when you roll it out. >> The spotlight's on you, but there's also a skill shortage. Talk to me about that. I just saw you do a big sigh. How can Miebach and Coupa with this platform help to mitigate some of the supply chain skills gap that organizations in every industry are facing? >> You know, it really comes down to the human element and when people talk a lot about sustainability, they talk about environmental conditions. There's a human sustainability topic we have to cover. Nobody likes being assigned to be a data analyst on a transformational project. And you're crunching Excel spreadsheets and running it sequel coding. No, no, that's not an enjoyable fulfilling task for many people. >> Lisa: No. >> There are special people that it is, and God bless (chuckles) them. So with things, like, the apps, with things, like, building out, so that way, we can take the people that you do have and have them making decisions, driving discussions around the insights the platform's giving versus just crunching numbers and building models. This is where you're going to have a much higher retainment. People are going to be excited about the job. They're going to have fun at the job because you do see a turnover of organizations that don't get the data strategy right, that people don't like being in a supply chain center of excellence in perpetuity. Again, there are certain people that are, but a lot of times, once the people get this analytical insight to how strategically the design of the company is set up, business units will grab them and give them a significant role. And then you're continually churning and replacing your COE talent. So having a talent strategy for your COE and having a strategy of how you're going to leverage, you know, we're in a world where my first grader's are learning coding, right? Like, you need to have a data strategy. So that way, that becomes your people strategy as well. And too many times, people think, "Hey, I buy the platform. I need a project strategy. What are the projects we're going to do?" And not often enough, do they talk about the people element of it to really make this work. And it absolutely has to be part of the discussion as you're setting up your center of excellence, it's people, it's processes and it's technology. >> Absolutely! >> You got to bring those three together or you real struggle a bit. >> You do. And then change management is not an easy thing to do for anybody. But one of the things you talked about, this is the pandemic as an accelerator of getting the supply chain folks to the table, being able to accelerate, getting data into the hands of people that can actually take in clean insights and make decisions based on that. So if you look into a crystal ball, what's the future of supply chain design? Where is it going? >> I believe we're going to see a lot more of movement towards applications and infusing of artificial intelligence and machine learning. It's there. It's ready to go. What a lot of companies are lacking and it goes back to what we already talked about is the data piece of it. I mean, we have been developing algorithms in a machine learning environment for three, four years now. It goes back to garbage in, and garbage out. So I think it's going to be a big element of supply chain talent, securing that, figuring out with robotic product process automation and things like that. How do you take non-value added work so you can take the talent you do have and give them more fulfilling work? I think companies are going to need to have data strategies and all that unlocks applications and things. So you can democratize, right? You have this digital twin in the cloud. How many people within the organization cross-functionally have questions about the supply chain? >> Right. >> What if this happens? What if that happens? Hey, if we do this, what does it effect upstream downstream? >> Right. >> So once you build that cloud, develop the applications that allow the entire enterprise to interface with this digital representation to play around and see what the effect is to then make better, more informed, more holistic decisions, drive more conversational, cross functionally amongst leaders, and even below the top leadership level. I think this is really where we're going to go and the companies that don't just survive, but thrive in this new normal, whatever that's going to be, is going to be the companies that get that right. >> They have to embrace that. There's no doubt. >> Nick: Have to embrace it. >> Nick, it's been great having you on the program, talking about supply chain, what's going on there, the accelerators, but also the opportunities. Thank you so much for sharing your insights. >> I appreciate the opportunity. So it's been a great conversation. I look forward to the rest of the event! >> I agree. For Nick Banich, I'm Lisa Martin on the ground in Las Vegas at Coupa Inspire 2022. Stick around, I'll be back with my next guest shortly. (bright music)

(upbeat music) >> Hey, welcome back everyone to theCube's coverage of AWS re:Invent 2021. I'm John Furrier, host of theCube, wall-to-wall coverage in-person and hybrid. The two great guests here, Manu Parbhakar, worldwide Leader, Linux and IBM Software Partnership at AWS, and Mike Evans, Vice President of Technical Business Development at Red Hat. Gentlemen, thanks for coming on theCube. Love this conversation, bringing Red Hat and AWS together. Two great companies, great technologies. It really is about software in the cloud, Cloud-Scale. Thanks for coming on. >> Thanks John. >> So get us into the partnership. Okay. This is super important. Red Hat, well known open source as cloud needs to become clear, doing an amazing work. Amazon, Cloud-Scale, Data is a big part of it. Modern software. Tell us about the partnership. >> Thanks John. Super excited to share about our partnership. As we have been partnering for almost 14 years together. We started in the very early days of AWS. And now we have tens of thousands of customers that are running RHEL on EC2. If you look at over the last three years, the pace of innovation for our joint partnership has only increased. It has manifested in three key formats. The first one is the pace at which RHEL supports new EC2 instances like Arm, Graviton. You know, think a lot of features like Nitro. The second is just the portfolio of new RHEL offerings that we have launched over the last three years. We started with RHEL for sequel, RHEL high availability, RHEL for SAP, and then only last month, we've launched the support for knowledge base for RHEL customers. Mike, you want to talk about what you're doing with OpenShift and Ansible as well? >> Yeah, it's good to be here. It's fascinating to me cause I've been at Red Hat for 21 years now. And vividly remember the start of working with AWS back in 2008, when the cloud was kind of a wild idea with a whole bunch of doubters. And it's been an interesting time, but I feel the next 14 years are going to be exciting in a different way. We now have a very large customer base from almost every industry in the world built on RHEL, and running on AWS. And our goal now is to continue to add additional elements to our offerings, to build upon that and extend it. The largest addition which we're going to be talking a lot about here at the re:Invent show was the partnership in April this year when we launched the Red Hat OpenShift service on AWS as a managed version of OpenShift for containers based workloads. And we're seeing a lot of the customers that have standardized on RHEL on EC2, or ones that are using OpenShift on-premise deployments, as the early adopters of ROSA, but we're also seeing a huge number of new customers who never purchased anything from Red Hat. So, in addition to the customers, we're getting great feedback from systems integrators and ISV partners who are looking to have a software application run both on-premise and in AWS, and with OpenShift being one of the pioneers in enabling both container and harnessing Kubernetes where ROSA is just a really exciting area for us to track and continue to advance together with AWS. >> It's very interesting. Before I get to ROSA, I want to just get the update on Red Hat and IBM, obviously the acquisition part of IBM, how is that impacting the partnership? You can just quickly touch on that. >> Sure. I'll start off and, I mean, Red Hat went from a company that was about 15,000 employees competing with a lot of really large technology companies and we added more than 100,000 field oriented people when IBM acquired Red Hat to help magnify the Red Hat solutions, and the global scale and coverage of IBM is incredible. I like to give two simple examples of people. One is, I remember our salesforce in EMEA telling me they got a $4 million order from a country in Africa theydidn't even know existed. And IBM had 100 people in it, or AT&T is one of Red Hat's largest accounts, and I think at one point we had seven full-time people on it and AT&T is one of IBM's largest accounts and they had two seven storey buildings full of people working with AT&T. So RHELative to AWS, we now also see IBM embracing AWS more with both software, and services, in the magnification of Red Hat based solutions, combined with that embrace should be, create some great growth. And I think IBM is pretty excited about being able to sell Red Hat software as well. >> Yeah, go ahead. >> And Manu I think you have, yeah. >> Yeah. I think there's also, it is definitely very positive John. >> Yeah. >> You know, just the joint work that Red Hat and AWS have done for the last 14 years, working in the trenches supporting our end customers is now also providing lot of Tailwinds for the IBM software partnership. We have done some incredible work over the last 12 months around three broad categories. The first one is around product, what we're doing around customer success, and then what we're doing around sales and marketing. So on the product side, we have listed about 15 products on Marketplace over the course of the last 12 to 15 months. And our goal is to launch all of the IBM Cloud Paks. These are containerized versions of IBM software on Marketplace by the first half of next year. The other feedback that we are getting from our customers is that, hey, we love IBM software running at Amazon, but we like to have a cloud native SaaS version of the software. So there's a lot of work that's going on right now, to make sure that many of these offerings are available in a cloud-native manner. And you're not talking with Db2 Cognos, Maximo, (indistinct), on EC2. The second thing that we're doing is making sure that many of these large enterprise customers are running IBM software, are successful. So our technical teams are attached to the hip, working on the ground floor in making customers like Delta successful in running IBM software on them. I think the third piece around sales and marketing just filing up a vibrant ecosystem, rather how do we modernize and migrate this IBM software on Cloud Paks on AWS? So there's a huge push going on here. So (indistinct), you know, the Red Hat partnership is providing a lot of Tailwinds to accelerate our partnership with IBM software. >> You know, I always, I've been saying all this year in Red Hat summit, as well as Ansible Fest that, distributed computing is coming to large scale. And that's really the, what's happening. I mean, you looking at what you guys are doing cause it's amazing. ROSA Red Hat OpenShift on AWS, very notable to use the term on AWS, which actually means something in the partnership as we learned over the years. How is that going Mike because you launched on theCube in April, ROSA, it had great traction going in. It's in the Marketplace. You've got some integration. It's really a hand in glove situation with Cloud-Scale. Take us through what's the update? >> Yeah, let me, let me let Manu speak first to his AWS view and then I'll add the Red Hat picture. >> Thanks Mike. John for ROSA is part of an entire container portfolio. So if you look at it, so we have ECS, EKS, the managed Kubernetes service. We have the serverless containers with Fargate. We launched ECS case anywhere. And then ROSA is part of an entire portfolio of container services. As you know, two thirds of all container workloads run on AWS. And a big function of that is because we (indistinct) from our customer and then sold them what the requirements are. There are two sets of key customers that are driving the demand and the early adoption of ROSA. The first set of customers that have standardized on OpenShift on-premises. They love the fact that everything that comes out of the box and they would love to use it on Arm. So that's the first (indistinct). The second set of customers are, you know, the large RHEL users on EC2. The tens of thousands of customers that we've talked about that want to move from VM to containers, and want to do DevOps. So it's this set of two customers that are informing our roadmap, as well as our investments around ROSA. We are seeing solid adoption, both in terms of adoption by a customer, as well as the partners and helping, and how our partners are helping our customers in modernizing from VMs to containers. So it's a, it's a huge, it's a huge priority for our container service. And over the next few years, we continue to see, to increase our investment on the product road map here. >> Yeah, from my perspective, first off at the high level in mind, my one of the most interesting parts of ROSA is being integrated in the AWS console and not just for the, you know, where it shows up on the screen, but also all the work behind what that took to get there and why we did it. And we did it because customers were asking both of us, we're saying, look, OpenShift is a platform. We're going to be building and deploying serious applications at incredible scale on it. And it's really got to have joint high-quality support, joint high-quality engineering. It's got to be rock solid. And so we came to agreement with AWS. That was the best way to do that, was to build it in the console, you know, integrated in, into the core of an AWS engineering team with Red Hat engineers, Arm and Arms. So that's, that's a very unique service and it's not like a high level SaaS application that runs above everything, it's down in the bowels and, and really is, needs to be rock solid. So we're seeing, we're seeing great interest, both from end users, as I mentioned, existing customers, new customers, the partner base, you know, how the systems integrators are coming on board. There's lots of business and money to be made in modernizing applications as well as building new cloud native applications. People can, you know, between Red Hat and AWS, we've got some, some models around supporting POCs and customer migrations. We've got some joint investments. it's a really ripe area. >> Yeah. That's good stuff. Real quick. what do you think of ROSA versus EKS and ECS? What's, how should people think about that Mike? (indistinct) >> You got to go for it Manu. Your job is to position all these (indistinct). (indistinct) >> John, ROSA is part of our container portfolio services along with EKS, ECS, Fargate, and any (indistinct) services that we just launched earlier this year. There are, you know, set of customers both that are running OpenShift on-premises that are standardized on ROSA. And then there are large set of RHEL customers that are running RHEL on EC2, that want to use the ROSA service. So, you know, both AWS and Red Hat are now continuing to invest in accelerating the roadmap of the service on our platform. You know, we are working on improving the console experience. Also one of the things we just launched recently is the Amazon controller to Kubernetes, or what , you know, service operators for S3. So over the next few years you will see, you know, significant investment from both Red Hat and AWS in this joint service. And this is an integral part of our overall container portfolio. >> And great stuff to get in the console. That's great, great integration. That's the future. I got to ask about the graviton instances. It's been one of the most biggest success stories, I think we believe in Amazon history in the acquisition of Annapurna, has really created great differentiation. And anyone who's in the software knows if you have good chips powering apps, they go faster. And if the chips are good, they're less expensive. And that's the innovation. We saw that RHEL now supports graviton instances. Tell us more about the Red Hat strategy with graviton and Arms specifically, has that impact your (indistinct) development, and what does it mean for customers? >> Sure. Yeah, it's pretty, it's a pretty fascinating area for me. As I said, I've been a Red Hat for 21 years and my job is actually looking at new markets and new technologies now for Red Hat and work with our largest partners. So, I've been tracking the Arm dynamics for awhile, and we've been working with AWS for over two years, supporting graviton. And it's, I'm seeing more enthusiasm now in terms of developers and, especially for very horizontal, large scale applications. And we're excited to be working with AWS directly on it. And I think it's going to be a fascinating next two years on Arm, personally. >> Many of the specialized processors for training and instances, all that stuff, can be applied to web services and automation like cloud native services, right? Is that, it sounds like a good direction. Take us through that. >> John, on our partnership with Red Hat, we are continuing to iterate, as Mike mentioned, the stuff that we've done around graviton, both the last two years is pretty incredible. And the pace at which we are innovating is improving. Around the (indistinct) and the inferential instances, we are continuing to work with Red Hat and, you know, the support for RHEL should come shortly, very soon. >> Well, my prediction is that the graviton success was going to be applied to every single category. You can get that kind of innovation with this on the software side, just really kind of just, that's the magical, that's the, that's the proven form of software, right? We've been there. Good software powering with some great performance. Manu, Mike, thank you for coming on and sharing the, the news and the partnership update. Congratulations on the partnership. Really good. Thank you. >> Excellent John. Incredible (indistinct). >> Yeah, this is the future software as we see, it's all coming together. Here on theCube, we're bringing all the action, software being powered by chips, is theCube coverage of AWS re:invent 2021. I'm John Furrier, your host. Thanks for watching. (upbeat music)

hello and welcome to this special cube conversation i'm dave nicholson and this is part of our continuing coverage of google cloud next 2021 i have two very special guests with me and we are going to talk about the topic of security uh i have sunil potti who is vice president and general manager of google cloud security uh who in a previous life had senior leadership roles at nutanix and citrix along with lior div who is the ceo and co-founder of cyber reason lior was formerly a commander in the much famed unit 8200 uh part of the israeli defense forces uh where he was actually a medal of honor recipient uh very uh honored to have him here this morning sunil and lior welcome to the cube sunil welcome back to the cube yeah great to be here david and and to be in the presence of a medal of honor recipient by the way a good friend of mine leor so be here well good to have both of you here so uh i'm the kind of person who likes my dessert before my uh before my entree so why don't we just get right to it you're the two of you are here to announce something very very significant uh in the field of security uh sunil do you want to start us out what are we here to talk about yeah i mean i think maybe uh you know just to set this context um as as many of you know about a decade ago a nation's sponsored attack you know actually got into google plus a whole bunch of tech companies you know the project aurora was quite uh you know infamous for a certain period of time and actually google realized almost a decade ago that look you know security can't just be a side thing it has to be the primary thing including one of the co-founders becoming for lack of a better word the chief security officer for a while but one of the key takeaways from that whole incident was that look you have to be able to detect everything and trust nothing and and the underpinning for at least one of them led to this whole zero trust architectures that everybody now knows about but the other part which is not as popular at least in industry vernacular but in many ways equally important and some ways more important is the fact that you need to be able to detect everything so that you can actually respond and that led to the formation of you know a project internal to google to actually say that look let's democratize uh storage and make sure that nobody has to pay for capturing security events and that led to the formation of this uh new industry concept called a security data lake in chronicle was born and then as we started evolving that over into the enterprise segment partnering with you know cyber reason on one hand created a one plus one equals three synergy between say the presence around what do you detect from the end point but also generally just so happens that as lior will tell you the cyber reason technology happens to start with endpoint but it's actually the core tech is around detecting events but doing it in a smart way to actually respond to them in much more of a contextual manner but beyond just that you know synergy between uh you know a world-class planet scale you know security data like forming the foundation and integrating you know in a much more cohesive way with uh cyber reasons detection response offering the spirit was actually that this is the first step of a long journey to really hit the reset button in terms of going from reactive mode of security to a proactive mode of security especially in a nation-state-sponsored attack vector so maybe leo you can speak a few minutes on that as well absolutely so um as you said i'm coming from a background of uh nation state hacking so for us at cyberism it's uh not is foreign uh what the chinese are doing uh on a daily basis and the growing uh ransomware cartel that's happening right now in russia um when we looked at it we said then uh cyberism is very famous by our endpoint detection and response capability but when we establish cyber reason we establish the cyberism on a core or almost fundamental idea of finding malicious operation we call it the male idea so basically instead of looking for alerts or instead of looking for just pieces of data we want to find the hackers we want to find the attack we want to be able to tell basically the full story of what's going on uh in order to do that we build the inside cyberism basically from day one the ability to analyze any data in real time in order to stitch it into the story of the male the malicious operation but what we realize very quickly that while our solution can process more than 27 trillion events a week we cannot feed it fast enough just from end point and we are kind of blind when it comes to the rest of the attack surface so we were looking uh to be honest quite a while for the best technology that can feed this engine and to as sunil said the one plus one equal three or four or five to be able to fight against those hackers so in this journey uh we we found basically chronicle and the combination of the scale that chronicle bringing the ability to feed the engine and together basically to be able to find those hackers in real time and real time is very very important and then to response to those type of attack so basically what is uh exciting here we created a solution that is five times faster than any solution that exists right now in the market and most importantly it enables us to reverse the atmospheric advantage and basically to find them and to push them out so we're moving from hey just to tell you a story to actually prevent hackers to being in your environment so leor can you i want to double click on that just just a little bit um can you give give us a kind of a concrete example of this difference between simply receiving alerts and uh and actually um you know taking taking uh uh correlating creating correlations and uh and actually creating actionable proactive intelligence can you give us an example of that working in in the real world yeah absolutely we can start from a simple example of ransomware by the time that i will tell you that there is a ransomware your environment and i will send an alert uh it will be five computers that are encrypted and by the time that you gonna look at the alert it's gonna be five thousand uh basically machines that are encrypted and by the time that you will do something it's going to be already too little too late and this is just a simple example so preventing that thing from happening this is critical and very timely manner in order to prevent the damage of ransomware but if you go aside from ransomware and you look for example of the attack like solarwind basically the purpose of this attack was not to create damage it was espionage the russian wanted to collect data on our government and this is kind of uh the main purpose that they did this attack so the ability to be able to say hey right now there is a penetration this is the step that they are doing and there is five ways to push them out of the environment and actually doing it this is something that today it's done manually and with the power of chronicle and cyberism we can do it automatically and that's the massive difference sunil are there specific industries that should be really interested in this or is this a is this a broad set of folks that should be impacted no you know in some ways uh you know the the the saying these days to learn's point on ransomware is that you know if if a customer or an enterprise has a reasonable top-line revenue you're a target you know you're a target to some extent so in that sense especially given that this has moved from pure espionage or you know whether it be you know government oriented or industrial espionage to a financial fraud then at that point in time it applies to pretty much a wide gamut of industries not just financial services or you know critical infrastructure companies like oil and gas pipeline or whatever it could be like any company that has any sort of ip that they feel drives their top line business is now a target for such attacks so when you talk about the idea of partnership and creating something out of a collaboration what's the meat behind this what what what do you what are you guys doing beyond saying you know hey sunil lior these guys really like each other and they respect what the other is doing what's going on behind the scenes what are you actually implementing here moving forward so every partnership is starting with love so it's good [Laughter] but then it need to translate to to really kind of pure value to our customers and pure value coming from a deep integration when it's come to the product so basically uh what will happen is every piece of data that we can collect at cyber is in uh from endpoint any piece of data that the chronicle can collect from any log that exists in the world so basically this is kind of covering the whole attack surface so first we have access to every piece of information across the full attack surface then the main question is okay once you collect all this data what you're gonna do with it and most of companies or all the companies today they don't have an answer they're saying oh we're gonna issue an alert and we hope that there is a smart person behind the keyboard that can understand what just happened and make a decision and with this partnership and with this integration basically we're not asking and outsourcing the question what to do to the user we're giving them the answer we're telling them hey this is the story of the attack this is all the pieces that's going on right now and in most cases we're gonna say hey and by the way we just stopped it so you can prevent it from the future when will people be able to leverage this capability in an integrated way and and and by the way restate how this is going to market as an integrated solution what is what is the what is what are we going to call this moving forward so basically this is the cyber reason xdr uh powered by chronicle and we are very very um uh happy about it yeah and i think just to add to that i would say look the the meta strategy here and the way it'll manifest is in this offering that comes out in early 2022 um is that if you think about it today you know a classical quote-unquote security pipeline is to detect you know analyze and then respond obviously you know just just doing those three in a good way is hard doing it in real time at scale is even harder so just that itself was where cyber reason and chronicle would add real value where we are able to collect a lot of events react in real time but a couple of things that i think that you know to your original point of why this is probably going to be a little for game changer in the years to come is we're trying to change that from detect analyze respond to detect understand and anticipate so because ultimately that's really how we can change you know the profile from being reactive in a world of ransomware or anything else to being proactive against a nation sponsored or nation's influenced attacks because they're not going to stop right so the only way to do this is to rather than just go back up the hatches is just really you know change change the profile of how you'll actually anticipate what they were probably going to do in 6 months or 12 months and so the the graph technology that powers the heart of you know cyber reason is going to be intricately woven in with the contextual information that chronicle can get so that the intermediate step is not just about analysis but it's about truly understanding the overall strategy that has been employed in the past to predict what could happen in the future so therefore then actions could be taken downstream that you can now say hey most likely this these five buckets have this kind of personal information data there's a reasonable chance that you know if they're exposed to the internet then as you create more such buckets in that project you're going to be susceptible to more ransomware attacks or some other attacks right and that's the the the kind of thinking or the transformation that we're trying to bring out with this joint office so lior uh this this concept of uh of mallops and uh cyber reason itself you weren't just born yesterday you've been you've been uh you have thousands of customers around the globe he does look like he was born i i know i know i know well you you know it used to be that the ideal candidate for ceo of a startup company was someone who dropped out of stanford i think it's getting to the point where it's people who refused admission to stanford so uh the the dawn of the 14 year old ceo it's just it's just around the corner but uh but lior do you get frustrated when you see um you know when you become aware of circumstances that would not have happened had they implemented your technology as it exists today yeah we have a for this year it was a really frustrating year that starting with solarwind if you analyze the code of solarwind and we did it but other did it as well basically the russians were checking if cyberism is installed on the machine and if we were installed on the machine they decided to stop the attack this is something that first it was a great compliment for us from you know our not friend from the other side that decided to stop the attack but on a serious note it's like we were pissed because if people were using this technology we know that they are not going to be attacked when we analyze it we realize that we have three different ways to find the solar wind hackers in a three different way so this is just one example and then the next example in the colonial pipeline hack we were the one that found darkseid as a group that we were hacking we were the first one that released a research on them and we showed how we can prevent the basically what they are doing with our technology so when you see kind of those type of just two examples and we have many of them on a daily basis we just know that we have the technology in order to do that now when we're combining uh the chronicle technology into the the technology that we already have we basically can reverse the adversary advantage this is something that you're not doing in a single day but this is something that really give power to the defenders to the communities of siso that exist kind of across the us um and i believe that if we're going to join forces and lean into this community and and basically push the solution out the ability for us to fight against those cartels specifically the ransomware cartels is going to be massive sunil this time next year when we are in uh google cloud next 2022 um are you guys going to come back on and offer up the we told you so awards because once this is actually out there and readily available the combination of chronicle and cyber reasons technology um it's going to be hard for some csos to have an excuse uh it may be it may be a uncomfortable to know that uh they could have kept the door secure uh but didn't yeah where's that bad business is that bad business to uh hand out awards for doing dumb things i don't know about uh you know a version of darwin awards probably don't make sense but but but generally speaking so i do think uh you know we're all like as citizens in this right because you know we talk about customers i mean you know alphabet and google is a customer in some ways cyber reason is a customer the cube is a customer right so i think i think the robot hitting the road a year from now will be we should we should do this where i don't know if the cube does more than two folks at the same time david but we should i mean i'm sure we'll have enough to have at least a half a dozen in in the room to kind of talk about the solution because i think the the you know as you can imagine this thing didn't materialize i mean it's been being cooked for a while between your team and our team and in fact it was inspired by feedback from some joint customers out in the market and all that good stuff so so a year from now i think the best thing would be not just having customers to talk about the solution but to really talk about that transformation from respond to anticipate and do they feel better on their security posture in a world that they know like and leo should probably spend a few minutes on this is i think we're on the tip of the sphere of this nation-state era and what we've just seen in the last few years is what maybe the nation-states have seen over two decades ago and they're going to run those playbooks on the enterprise for the next decade or so yeah leor talk about that for a minute yeah it's it's really you know just to continue the sunil thought it's it's really about finding the unknown because what's happening on the other side it's like specifically china and russia and lately we saw iran starting to gain uh power um basically their job is to become better and better and to basically innovate and create a new type of attack on a daily basis as technology has evolved so basically there is a very simple equation as we're using more technology and relying more on technology the other side is going to exploit it in order to gain more power espionage and create financial damage but it's important to say that this evolution it's not going to stop this is just the beginning and a lot of the data that was belong just to government against government fight basically linked in the past few years now criminals starting to use it as well so in a sense if you think about it what's happening right now there is basically a cold war that nobody is talking about it between kind of the giant that everybody is hacking everybody and in the crossfire we see all of those enterprises across the world it was not a surprise that um you know after the biden and putin uh meeting suddenly it was a quiet it was no ransomware for six weeks and after something changing the politics suddenly we can see a a groin kind of attack when it's come to ransomware that we know that was directed from russia in order to create pressure on the u.s economy sunil wrap us up what are your f what are what are your final thoughts and uh what's what's the what's the big takeaway here no i think you know i i think the key thing for everyone to know is look i think we are going into an era of state-sponsored uh not espionage as much as threat vectors that affect every business and so in many ways the chiefs the chief information security officer the chief risk officer in many ways the ceo and the board now have to pay attention to this topic much like they paid attention to mobile 15 years ago as a transformation thing or maybe cloud 10 years ago i think cyber has been one of those it's sort of like the wireless error david like it existed in the 90s but didn't really break around until iphone hit or the world of consumerization really took off right and i think we're at the tip of the spear of that cyber really becoming like the era of mobile for 15 years ago and so i think that's the if there's like a big takeaway i think yes there's lots of solutions the good news is great innovations are coming through companies like cyber reason working with you know proven providers like google and so forth and so there's a lot of like support in the ecosystem but i think if there was one takeaway that was that everybody should just be ready internalized we don't have to be paranoid about it but we anticipate that this is going to be a long game that we'll have to play together well with that uh taking off my journalist hat for a moment and putting on my citizen hat uh it's reassuring to know that we have really smart people working on this uh because when we talk about critical infrastructure control systems and things like that being under threat um that's more significant than simply having your social security number stolen in a in a data breach so um with that uh i'd like to thank you sunil leor thank you so much for joining us on this special cube conversation this is dave nicholson signing off from our continuing coverage of google cloud next 2021 [Music] you

>> From the Bellagio Hotel in Las Vegas, it's theCUBE, covering UiPath FORWARD IV, brought to you by UiPath. >> Welcome back to theCUBE, live at the Bellagio in Las Vegas, Lisa Martin, with Dave Vellante, we are with UiPath at FORWARD IV. The next topic of conversation is going to be a good one. And that's because it's automation for good. I've got two guests here joining Dave and me. James Droskoski, strategic account exec at UiPath joins us, and Brian Klochkoff, head of automation at Dentsu. Guys, welcome to the program. >> Yeah, thank you. >> Thanks for having us. >> Yeah. Happy to be here. >> We're going to, we're going to dig into automation for good, which is going to be a really feel good conversation. We're going to get into what you're doing. But Brian, I wanted you to give the audience an overview of Dentsu as an organization. Who are you? What do you guys do? >> Sure. So Dentsu is a large network of advertising agencies. We're about 45,000 people large, $10 billion plus in revenue, going across about 125 markets. So we're a large enterprise advertising media, creative CXM type business. We're really focused on helping to elevate our clients' value when it comes to the value proposition around marketing, advertising, and media. >> So you think about that as a, as a, as a, a business that maybe, you know, it's hard to understand where automation might fit in. On the other hand, it's like a lot of moving parts, a lot of arms and legs. >> Brian: Mm-hmm. So how are you applying automation to the business? >> Sure. So when we first started doing proof of concepts level approaches, we approached things in a traditional, Hey, let's go look at the shared services groups. Why are we having invoice processing delays? Things like that. And we started being a bit more prescriptive and proactive about how we were applying the limited POC budget we had to go after these problems. And we started doing some root cause analysis to understand the interaction between the back office functions and the mid-office functions. And what we uncovered was that we could actually be really good custodians of budget and enable people at the same time by solving for problems at a root cause analysis level. So what I mean by that is maybe an invoice is coming down the pipe, and it's not getting processed because it's missing critical information that could be easily added six processes upstream. So what really helped elevate the conversation that we're having around automation for good and be a catalyst for we're going to talk about a bit later is we just started connecting people from the mid-office to the back office, helping them understand, Hey, if we actually follow a process properly, put the right controls in place with RPA to generate critical data elements on those invoices, Shaler in the back office doesn't have to work the weekends because there's not a pipeline back load of invoices for him to process. So we actually connected those mid-office people with the back office people, and it really drove that human connection to drive the change management within our automation journey. And that's kind of been the crux of what we've wanted to do over the past four years, finding ways to elevate our people's potential by integrating automation and AI into their actual day-to-day work. >> Hmm. So tech for good is a theme that you hear a lot and as a, as a media company, that, that, that kind of, we're not gotcha media, you know, we more want to tell the story of tech athletes, and I think we've done a pretty good job of that over the past decade, but so it goes to tech's under fire constantly, especially big tech. We hear the Facebook hearings today and so forth, but so automation kind of early days, oh, you're going to take away my job. I think generally speaking with the fatigue of Zoom and the perpetual workday, people begin to understand that, Hey, maybe automation is a good thing. But automation for good, what, what is that, James? >> Yeah, well, it's, it's not doing technology for the sake of technology. You know? At the end of the day, when we implement solutions with our customers like Dentsu, it's about, what's the impact, what's the change, what's the benefit? And what's unique about Dentsu is because they've grown through acquisition and there are lots of different companies come together, you have to focus on the people first because there is no one process or one system that we can look and just automate that system or process. So automation for good is about focusing on the people, and how do we take the solutions and the programs and the technologies we have and make an impact so that somebody's day is better. Their, their, their job is better. The process they're doing is easier and they can focus on more of the things that make them different. You know? Specifically as we'll uncover in the conversation, you know, we looked at a program that Dentsu is doing around working with different types of people, as far as people with autism, and what was the impact we could do there? And that's uncovered a journey that we've been together for the last two years around seeing how we can make an impact with those types of folks who might not get the same types of opportunities as everybody else. >> Brian, talk about the, the catalyst for that program at Dentsu a couple years ago. >> Sure. So it goes back to that foundational layer of elevating people's potential. So the testimonial that we had from our own employees around applying automation in meaningful ways to progress their day-to-day came from an employee in the mid-office who said, I didn't go $160,000 in student debt to copy paste stuff from Excel into this proprietary platform that we use for media. And that really resonated with us, as leaders in this space, and with our executive leadership, because there was a gap between what our peoples' skills were and what they were actually doing. They wanted to do Mad Men type stuff. They want it to be the Don Drapers and the Peggy Olsons of our industry. And they were losing that opportunity because we weren't tapping into the skills that they had to drive human centric solutions for our clients. So taking that concept, we looked at the partnerships that we have with our outsourcing providers and Autonomy Works, which we're going to doing a session later tomorrow with the CEO, Dave Friedman, we're going to spend a lot of time talking about how the unique skill sets of that company and those people can actually elevate them to do more tech enabled work, but also enabling our own team to focus on building solutions with the skills that we have by allowing them to use the skills that they have to do the machine learning training of models and things like that, which they really excel at from a detail oriented perspective. And that's not only a feel good story, but it's, it's great for our business because the resources on my immediate team are building product, they're building solutions, and we can rely on an excellent partner in them to help us with the maintenance overhead that we're creating through those solutions. And eventually through automation cloud, driving better outcomes through positive, negative reinforcement within machine learning. >> And there are specific examples with individuals with autism. Correct? >> Correct. That's right. >> Yeah. >> Add some color to that. What is that all about? >> Yeah. Let me tell you a little story. So when, when they first brought the conversation to me, I was terrified because I, the type of work that they were outsourcing was very repetitive rule-based. And I'm like, this is perfect for automate. This is exactly what we automate. I was terrified that the program we were going to work on together was going to eliminate the program. And so I was, you know, cautiously, you know, approached it. >> How ironic. >> Yeah. I was like, Hey, that sounds like a great idea. And I hung up. I was like, oh, how are we going to, how am I going to figure out this one? But through the conversation, and we just started, you know, brainstorming and putting our heads together. What was interesting is because of the way that automations work, as far as being very structured and repetitive, it lends itself well to workers with autism. It's exactly the way they think. And what we actually found after kind of coming up with the collaborative ideas, hey, wait a second. We were already doing these kind of botathon hackathon type programs with the Dentsu employees, teaching them the skills, how to build automations for themselves. What if we kind of modified it and adjusted it to cater to these types of individuals who learn differently, and we have to approach it differently. And we went through the program, we adjusted everything. And what was incredible to see was they thrived with the ability to learn how to work this way. They built things that made them more productive, that created more capacity. They could do more with less now, work with more customers, do more work for, for their, for their customers because they had this almost assistant that was kind of like them. And it was, it was just so rewarding. You know, we talk about, again, what's automation for good all about? It's about that personal reward. >> Brian: Yeah. >> I mean, for me, you know, we didn't sell any more licenses or it wasn't about the commercial transaction. It was about, you know, catering to the segment of the workforce that, first of all, it was very educate, enlightening to me to see how many folks are out there that are unemployed. And I got to meet these first 15 individuals that couldn't have been more amazing and more smart and more diligent and hardworking. And the numbers are something in the lines of between 50% and 90% unemployed because they just don't get the same opportunities as people without autism. It's kind of the world's set up for us. So to know that we could do this kind of program together to go have an impact in this community, was the reward in and of itself. And, you know, we've since been working together on how we continue to expand that, how do we, you know, take that forward and, and bring that everywhere. Cause that's, the end of the day, I think beyond, you know, revenue, this is the stuff that really matters, especially in an organization at Dentsu that this is important. >> Yeah. And I think building on the missed opportunity piece around 50% to 90% being unemployed, that's a missed opportunity for business as well. So those skills are so niche and they're so necessary for us to thrive within an environment that's moving as rapidly as we are. Because we just can't keep pace with the change of feature sets that are being released coupled with maintaining existing solutions that we've built. So it's in cross enabling people to really complement each other's unique skills and strengths based off of strong, true partnership. So it really became a beautiful three-way partnership between Dentsu, Autonomy Works and UiPath that we continue to evolve as UiPath makes additional releases with emerging tech that we're officially hearing about right now. So we have a ton of different ideas of how we can bring that into the fold. And what resonates with us the most is hearing different perspectives on how to apply that coming from that working group. So just a different way of thinking about things and the diversity of thought really resonates with, Hey, are we actually applying this thing the right way? Should we be thinking about this differently? Because you get a lot of yes people, you know, when we come and talk to people about how to apply this technology. And when you have somebody with a different perspective, it's able to help us figure out what our long-term strategy is actually going to look like, by taking advantage of the resources and partnerships that we already have in place. >> In terms of that strategic vision, how do you think this three-way partnership that you mentioned is going to influence that percentage of those, these individuals who are unemployed? What are you, any predictions on how much you can bring that down with automation? >> I think that depends on Dave's staffing plan. But, but the goal is to grow, right? So I mean this, this is a, a startup out of Chicago that has, you know, a healthy amount of staff. But finding ways to apply those skills in new ways with technology that's emerging, the horizon is your, is your end point. Right? And I think with the advent of low-code no-code machine learning coming into this type of a platform, it's, it's only opportunistic. There's only, there's only things ahead of us to do that. We just have to make sure that we train people properly and give them that opportunity because they're going to run with it with the right leadership and those skills. >> Yeah. What's exciting also is, is, you know, what started as an idea and a conversation that's now turned into a pilot program and a little bit of expansion of the stuff we're working on together, we've taken some of the excitement and spread it beyond that now. So we've got partners like ENY and PWC and Revature that are saying, and Special Eastern and Automatic, who helped in the initial program saying, how can we help? What can we do? How can we broaden this? And how can we go out to the larger community and make a bigger impact? So, you know, I think it's exciting. We know, we can see how fast RPA and these types of technologies are causing change. And we've got to make sure that people don't get left behind. Especially, you know, someone as this important part of a segment of a workforce. If we can equip them with these skills to be relevant to their current employers or future employers, I think it's, it's critical. You know, another like moment for me during this process was I took for granted, you know, what working actually means, right? It creates independence for us, right? So you get a job, you get paid and generate income. You have the independence now to go live on your own, provide for yourself. A lot of these individuals, I learned, are still living with their parents because they can't get employment. They don't have that independence that we take for granted. So I think, again, that's the essence of what automation for good is all about, is, is being able to go make an impact like that, to that community. And it's, you know, we talk about cultures and brands and you know, it's also great to work with an organization like Dentsu cause they get it, right? Their product is ideas. It's human capital is their, their main ingredient of what they generate value for their customers. And so be able to take that and help people is just, I think what it's all about. >> You're lucky both to be in a business that the incentives are aligned. >> Yeah. >> You're not in businesses that are designed to appropriate data and push ads in front of our face. >> Yeah. >> In a lot of big companies, it's almost like, okay, we got to do this. I don't mean to overstate this, but we have to do this because we're big and we're rich. >> Yeah. >> And so, and if we don't, we're going to get attacked. >> Yeah. Okay. And it's sort of more like a check, check box and to put somebody in charge of it. >> Yep. >> You know, oftentimes a woman or a person of color. And I shouldn't be negative on that. >> Yeah. >> That's fine. That's good to do. But it just seems like there's a nice alignment with automation. AI could be similar because I mean, AI could be used for really bad. Automation. Okay, it maybe takes, the perception is it takes jobs away, but it's a really nice alignment that you can point at a lot of different initiatives. >> Yeah. >> So I think that's really a fortunate dynamic. >> And that's, you know, that's what defines a partnership, right? It's that alignment of long-term interests that, you know, you make the investments now and the sacrifices now to drive that. It's not just commercial. It's not just transactional. >> Dave: Yeah. >> I mean, we were talking about the opportunities for these types of people and for us as a customer and for UiPath. It's it exists within that AI conversation that you were just talking about >> Dave: Yeah. >> Because from a technical perspective, you want to mitigate as much algorithmic bias within your training models. That's what these people are doing. It's helping to train models much more rapidly and effectively and objectively than we could have done otherwise. And that's, having that as part of our extended partnership within our network is going to accelerate the type of work that we want to do within the releases that we're seeing coming out of this conference. Because we don't have to worry about, oh, well, we've got to focus on tax forms and training the models to notice a signature. Because Autonomy Works has us covered there. They're enabling us to do more. We're enabling them to do a little more. And that's, that's the beauty of this intersection between the partners. >> Brian, I presume you talk with prospective customers of UiPath. And I presume also that you probably looked at some of their competitors. If you think about what differentiates this fast moving company, they talked this morning about the cadence of releases. Woo. Very fast. >> Brian: Yeah, it's a lot. >> Why UiPath for Dentsu? >> UiPath has been a tremendous partner for us since about 2017. And we've been able to move on that journey with UiPath. We've been able to help understand the products roadmaps and move at a similar pace as each other. So we're really lucky in that we have the flexibility as an advertising and media company that we're not beholden to internal audits, external audits, and really defined regulatory bodies. So we made a decision, I don't know what, six, seven months ago to collapse six UiPath on-prem instances and migrate to cloud with the sponsorship of our global CTO and our America CTO, just because it was the right thing to do. And because it would enable this type of partnership with external providers. So being able to move at that similar pace from a release cycle, but also from a feature adoption perspective, it's, it just makes the most sense for us. And we have that liberty to go to go do those things as we need to. >> Yeah. So the move to the cloud, you get, you're able to take advantage much faster. >> Yeah. >> Because what did we hear this morning? You release every six months. >> James: Yep. >> Yes. Which is typical for an on-prem. >> James: Yeah. >> And then, but you got to prepare for that. >> James: Yeah. >> I don't know how many N minus ones you support, but it's not infinite. >> James: Yeah. >> You got to move people along, so people have to prep. Whereas now in the cloud, there's the feature. Boom. >> Yeah. >> So being invested in automation for good topic, it's not, it's about automation for good across people in general, within internally to us and externally to us. For our clients, for our employees, and for our partners. The automation cloud enables that to happen much more seamlessly because we don't have the technical debt in place that requires people to VPN into our network and go through the bureaucracy of security, legal, and privacy. Which we've already done by the way, but those conversations bureaucratically still need to happen. With automation cloud, we're able to spin up Autonomy Works employees in real-time and give them the right set of access to go pursue the use cases that they want to, and that we need them to. So that, that technical debt release that we've experienced through the automation cloud is what's enabling us to do this type of good work. >> That makes sense. A bit more, less friction, obviously greater scale. >> Yeah. >> Easier to experiment. >> Yeah. >> Fail fast. >> We went from 12 separate programs to one program in a matter of a couple of months. >> It was wild. >> Yeah. >> And I imagine you're only really scratching the surface here with what you're doing with automation, that really, the horizon is the limit, as you said. Guys, thank you for joining us, talking about automation for good, what you're doing at Dentsu RPA with autistic adults. There's probably so many other great use cases that will come from this. Guys, we appreciate your time. >> Yeah. >> Yeah, thanks for having us. >> Yeah, thank you. >> Thanks, you guys. >> Awesome. >> For Dave Vellante, I'm Lisa Martin coming to you from Vegas UiPath FORWARD IV. (upbeat music plays)

>> Narrator: From the Bellagio hotel in Las Vegas, it's the Cube, covering UiPath Forward IV, brought to you by UiPath. >> Welcome back to the Cube, live at the Bellagio in Las Vegas. Lisa Martin, with Dave Vellante. We are with UiPath at Forward IV. The next topic of conversation is going to be a good one, and that's because it's automation for good. I've got two guests here joining Dave and me, James Droskoski, Strategic Account Exec at UiPath joins us and Brian Khlochkoff, head of automation at Dentsu. Guys, welcome to the program. >> Yeah. Thank you. >> Thanks for having us. >> Yeah. Happy to be here. >> So we're going to, we're going to to dig into automation for good, which is going to be a really feel-good conversation. We're going to get into what you're doing, but Brian, I wanted you to give the audience an overview of Dentsu as an organization. Who are you, what do you guys do? >> Sure. So Dentsu is a large network of advertising agencies. We're about 45,000 people large, 10 billion plus in revenue, going across for 125 markets. So we're a large enterprise advertising media, creative CXM type business. We're really focused on helping to elevate our clients' value when it comes to the value proposition around marketing, advertising, and media. >> So you think about that as a, as a, as a, a business that maybe, you know, it's hard to understand where automation might fit in. On the other hand, it's like a lot of moving parts, a lot of arms and legs. >> Brian: Hmmm. So how are you applying automation to the business? >> Sure. So when we first started doing proof of concepts level approaches, we approach things in a traditional, hey, let's go look at the shared services groups. Why are we having invoice processing delays? Things like that. And we started being a bit more prescriptive and proactive about how we were applying the limited POC budget we had to go after these problems. And we started doing some root cause analysis to understand the interaction between the back office functions and the mid office functions. And what we uncovered was that we could actually be really good custodians of budget and enable people at the same time by solving for problems at a root cause analysis level. So what I mean by that is even the invoices coming down the pipe, and it's not getting processed because it's missing critical information that could be easily added six processes upstream. So what really helped elevate the conversation that we're having around automation for good and be a catalyst for what we're going to talk about a bit later is, we just started connecting people from the mid office to the back office, helping them understand, hey, if we actually follow process properly, put the right controls in place with RPA to generate critical data elements on those invoices, Shaler in the back office doesn't have to work the weekends because there's not a pipeline backload of invoices for them to process. So we actually connected those mid office people with the back office people, and it really drove that human connection to drive the change management and then our automation journey. And that's kind of been the crux of what we've wanted to do over the past four years, finding ways to elevate our people's potential by integrating automation and AI into their actual day-to-day work. >> Hmm. So tech for good is a theme that you hear a lot and as a, as a media company, that, that, that kind of, we're not gotcha media, you know, we've more want to tell the story of tech athletes, and I think we've done a pretty good job of that over the past decade, but so it goes, tech's under fire constantly. It was basically big tech. We hear the Facebook hearings today and so forth, but so automation kind of early days, oh, you're going to take away my job. I think generally speaking with the fatigue of Zoom and the perpetual workday, people begin to understand that, hey, maybe automation is a good thing, but automation for good, what, what is that, James? >> Yeah, well, it's, it's not doing technology for the sake of technology. You know, at the end of the day, when we implement solutions with our customers like Dentsu, it's about, what's the impact? What's the change? What's the benefit? And what's unique about Dentsu is, because they've grown through acquisition and there are lots of different companies come together, you have to focus on the people first cause there is no one process or one system that we can look and just automate that system or process. So automation for good is about focusing on the people and how do we take the solutions and the programs and the technologies we have, make an impact so that somebody's day is better. Their, their, their job is better. That process are doing is easier and they can focus on more of the things that make them different. You know, specifically as we, we'll uncover in the conversation, you know, we looked at a program that Dentsu is doing around working with different types of people, as far as people with autism and what was the impact we could do there. And that's uncovered a journey that we've been together for the last two years around seeing we can have, we can make an impact with those types of folks who might not get the same types of opportunities that everybody else. >> Brian, talk about the, the catalyst for that program at Dentsu, couple years ago. >> Sure, so it goes back to that foundational layer of elevating people's potential. So the testimonial that we had from our own employees around applying automation, meaningful ways to progress their day to day came from an employee in the mid office who said, I didn't go $160,000 in student debt to copy paste stuff from Excel into this proprietary platform that we use for media. And that really resonated with us as leaders in this space and with our executive leadership, because there was a gap between what our people's skills were and what they were actually doing. They wanted to do Mad Men type stuff. They wanted to be the Don Draper's and the Peggy Olsen's of our industry. And they were losing that opportunity because we weren't tapping into the skills that they had to drive human-centric solutions for our clients. So taking that concept, we looked at the partnerships that we have with our outsourcing providers and Autonomy Works, which we're going to be doing a session later tomorrow with the CEO, Dave Friedman, we're going to spend a lot of time talking about how the unique skill sets of that company and those people can actually elevate them to do more tech-enabled work, but also enabling our own team to focus on building solutions with the skills that we have by allowing them to use the skills that they have to do the machine-learning training of models and things like that, which they really Excel at from a detail-oriented perspective. And that's not only a feel good story, but it's, it's great for our business because the resources on my immediate team are building product, they're building solutions, and we can rely on an excellent partner in them to help us with the maintenance overhead that we're creating through those solutions. And eventually through automation cloud, driving better outcomes through positive, negative reinforcement within machine learning. >> And there's specific examples with individuals with autism, correct? >> Correct. That's right. >> Add some color to that. What is that all about? >> Yeah. Let me tell you a little story. So when, when they first brought the conversation to me, I was terrified because I, the type of work that they were outsourcing was very repetitive rule-based and I'm like, this is perfect for automate. This is exactly what we automate. I was terrified that the program we were going to work on together was going to eliminate the program. And so I was, you know, cautiously, you know, approached it- (Dave laughs) >> How ironic. (laughing) >> I was like, hey, that sounds like a great idea. And I hung up. I was like, oh, how are we going to, how am I going to figure out this one? But through the conversation, and we just started, you know, brainstorming and putting our heads together. What was interesting is, because of the way that automations work, as far as being very structured and repetitive, it lends itself well to workers with autism. It's exactly the way they think and what we actually found after kind of coming up with the collaborative ideas, hey, wait a second. We were already doing these kind of bodathon, hackathon type programs with the Dentsu employees, teaching them the skills, how to build automations for themselves. What if we kind of modified it and adjusted it to cater to these types of individuals who learn differently, we have to approach it differently. And we went through the program, we adjusted everything. And what was incredible to see was they thrived with the ability to learn how to work this way. They built things that made them more productive, that created more capacity. They could do more with less now, work with more customers, do more work for, for their, for their customers because they had this almost assistant that was kind of like them. And it was, it was just so rewarding. You know, we talk about, again, what's automation for good all about? It's about that personal reward. >> Brian: Yeah. I mean, for me, you know, we didn't sell any more licenses or it wasn't about the commercial transaction. It was about, you know, catering to the segment of the workforce that, first of all, it was very educate, enlightening to me to see how many folks are out there that are unemployed. And I got to meet these first 15 individuals that couldn't have been more amazing and more smart and more diligent and hardworking, and that the numbers are something in the lines of between 50% and 90% unemployed because they just don't get the same opportunities as people without autism. It's kind of the world's set up for us. So to know that we could do this kind of program together to go have an impact in this community, was the reward in and of itself. And, you know, we've since been working together on how we continue to expand that, how do we, you know, take that forward and bring that everywhere? Cause that's the end of the day, I think beyond, you know, revenue, this is the stuff that really matters, especially in an organization at Dentsu that, this is important. >> Yeah. And I think building on the missed opportunity piece around 50% to 90% being unemployed, that's a missed opportunity for business as well. So those skills are so niche and they're so necessary for us to thrive within an environment that's moving as rapidly as we are, because we just can't keep pace with the change of feature sets that are being released, coupled with maintaining existing solutions that we've built. So it's in cross enabling people to really compliment each other's unique skills and strengths based off of strong, true partnership. So it really became a beautiful three-way partnership between Dentsu, Autonomy Works and UiPath that we continue to evolve as UiPath makes additional releases with emerging tech that we're officially hearing about right now. So we have a ton of different ideas that we can bring that into the fold. And what resonates with us the most is hearing different perspectives on how to apply that coming from that working group. So just a different way of thinking about things and the diversity of thought really resonates with, hey, are we actually applying this thing the right way? Should we be thinking about this differently? Cause you get a lot of, yes, people, you know, when we come and talk to people about how to apply this technology and when you have somebody with a different perspective, it's able to help us figure out what our long-term strategies are actually going to look like, but taking advantage of the resources and partnerships that we already have in place. >> In terms of that strategic vision, how do you think this three-way partnership that you mentioned is going to influence that percentage of those, these individuals who are unemployed? What are you, any predictions on how much you can bring that down with automation? >> I think that depends on Dave's staffing plan. (James laughs) But, but the goal is to grow, right? So I mean this, this is a, a startup out of Chicago that has, you know, a healthy amount of staff, but finding ways to apply those skills in new ways with technology that's emerging, the horizon is your, is your end point. Right? And I think with the advent of low-code no-code machine-learning, coming into this type of a platform, it's, it's only opportunistic, there's only, there's only things ahead of us to do that. We just have to make sure that we train people properly and give them that opportunity cause they're going to run with it with the right leadership and those skills. >> Yeah. What, what's exciting also is, is, you know, what started as an idea and a conversation that's now turned into a pilot program and a little bit of expansion of the stuff we're working on together, we've taken some of the excitement and spread it beyond that now. So we've got partners like ENY and PWC and Revature that are saying, and Specialisterne and Automattic who helped in the initial program saying, how can we help? What can we do? How can we broaden this and how can we go out to the larger community and make a bigger impact? So, you know, I think it's exciting. We know we can see how fast RPA and these types of technologies are causing change. And we got to make sure that people don't get left behind. Especially, you know, someone as this important part of a segment of a workforce. If we can equip them with these skills to be relevant to their current employers or future employers, I think it's, it's critical. You know, another like, moment for me during this process was, I took for granted, you know, what working actually means, right? It creates independence for us, right? So you get a job, you get paid and generate income. You have the independence now to go live on your own, for, provide for yourself. A lot of these individuals, I learned are still living with their parents because they can't get employment. They don't have that independence that we take for granted. So I think, again, that's the essence of what automation for good is all about is, is being able to go and make an impact like that, to that community. And it's, you know, we talk about cultures and brands and, you know, it's also great to work with an organization like Dentsu cause they get it, right? Their product is ideas. It's human capital is their, their main ingredient of what they generate value for their customers. And so be able to take that and help people is just, I think what it's all about. >> You're lucky both to be in a business that the incentives are aligned. >> Yeah. >> You're not in businesses that are designed to appropriate data and push ads in front of our face or- >> James: Yeah. >> And a lot of big companies, It's almost like, okay, we got to do this. I mean, I don't mean to overstate this, but we have to do this because we're big and we're rich. >> James: Yeah. >> And so, and if we don't, we're going to get attacked. >> James: Yeah. >> Okay, and some of it, I can check, check box and to put somebody in charge of it. >> James: Yep. >> You know, often times a woman or a person of color. And I shouldn't be negative on that. >> James: Yeah. That's fine. That's good to do. But it just seems like there's a nice alignment with automation. >> James: Oh. >> AI could be similar because I mean, yeah. It can be used for really bad. Automation, okay, maybe takes, the perception is that it takes jobs away, but it's a really nice alignment that you can point at a lot of different initiatives. >> Yeah. >> So I think that's really a fortune- >> I know that's, that's what defines a partnership, right? It's that alignment of long-term interests that, you know, you make the investments now and the sacrifices now to drive that. It's not just commercial. It's not just transactional. >> Dave: Yeah. >> We were talking about the opportunities for these types of people and for us as a customer and for UiPath, it's, it exists within that AI conversation that you were just talking about. >> Dave: Yeah. >> Because from a technical perspective, you want to mitigate as much algorithmic bias within your training models. That's what these people are doing. It, it's helping to train models much more rapidly and effectively and objectively than we could have done otherwise. And that's, having that as part of our extended partnership within our network is going to accelerate the type of work that we want to do within the releases that we're seeing coming out of this conference because we don't have to worry about oh, well, we got to focus on tax forms and training the models to notice a signature because Autonomy Works has us covered there. They're enabling us to do more. We're enabling them to do a little more. >> Hmmm. And that's, that's the beauty of this intersection between the partners. >> Brian, I presume you talk with prospective customers of UiPaths. And I presume also that you probably looked at some of their competitors. If you think about what differentiates this fast-moving company, they talked this morning about the cadence that releases. Whew, very fast. (laughing) >> Brian: Yeah, that's a lot. >> Why UiPath for Dentsu? >> UiPath has been a tremendous partner for us since about 2017. And we've been able to move on that journey with UiPath. We've been able to help understand the product roadmaps and move at a similar pace as each other. So we're really lucky in that we have the flexibility as an advertising and media company that we're not beholden to internal audits, external audits, and really defined regulatory bodies. So we made a decision, you know, what, six, seven months ago to collapse six UiPath on-prem instances and migrate to cloud with the sponsorship of our global CTO and our Amaris CTO, just because it was the right thing to do. And because it would enable this type of partnership with external providers. So being able to move at that similar pace from a release cycle, but also from a feature adoption perspective, it's, it just makes the most sense for us. And we have that liberty to go to go do those things as we need to. >> Yeah, so the move to the cloud, you get, you're able to take advantage much faster- >> James: Yeah. >> Because what did, what did we hear this morning? You release every six months? >> James: Yep. >> Yes. Which is typical for an on-prem. >> James: Yeah. >> And then, but you got to prepare for that. >> James: Yeah. I don't know how many N minus ones you support, but it's not infinite. >> James: Yeah. >> You got to move people along. So people have to prep, whereas now in the cloud, there's the feature, boom. >> Oh yeah. So being investing automation for good topic, it's not, it's about automation for good across people in general, within internally to us and externally to us, for our clients, for our employees and for our partners. The automation cloud enables that to happen much more seamlessly because we don't have the technical debt in place that requires people to VPN into our network and go through the bureaucracy of security, legal, and privacy, which we've already done by the way, for those conversations, bureaucratically still needs to happen. With automation cloud, we're able to spin up autonomy Works employees in real time and give them the right set of access to go pursue the use cases that they want to, and that we need them to. So that, that technical debt release that we've experienced through the automation cloud is what's enabling us to do this type of good work. >> It makes sense. A bit more, less friction, obviously, greater scale. >> Yeah. >> Easier to experiment. >> Yeah. >> Fail fast. >> We went from 12 separate programs to one program in a matter of a couple of months. >> It was wild. (Brian laughs) >> And I imagine you're only really scratching the surface here with what you're doing with automation. That really the horizon is the limit as you said. Guys, thank you for joining us, talking about automation for good. What you're doing at Dentsu RPA with autistic adults, there's probably so many other great use cases that will come from this. Guys, we appreciate your time. >> Yeah. >> Thanks for having us. Thank you. >> Thanks you guys, awesome. >> For Dave Vellante, I'm Lisa Martin coming to you from Vegas, UiPath forward IV. [light-hearted music plays]

>> Announcer: From around the globe it's theCUBE with digital coverage of IBM Think 2021. Brought to you by IBM. >> Welcome back to theCUBE's coverage of IBM Think 2021 Virtual. I'm John Furrier, host of theCUBE. And it's theCUBE Virtual and Uli Homann who's here, Corporate Vice President of Cloud & AI at Microsoft. Thanks for comin' on. I love this session. Obviously, Microsoft one of the big clouds. Awesome. You guys partnering with IBM here, at IBM Think. I remember during the client-server days in the '80s, late '80s to early '90s the open systems interconnect was a big part of opening up the computer industry. That was networking, intra-networking and really created more LANs and more connections for PCs et cetera, and the world just went on from there. Similar now with hybrid cloud, you're seeing that same kind of vibe, right? You're seeing that same kind of alignment with distributed computing architectures for businesses. Where now you have, it's not just networking and plumbing, and connecting, you know, LANs and PCs, and printers, it's connecting everything. It's kind of almost a whole 'nother world, but similar movie, if you will. So this is really going to be good for people who understand that market. IBM does, you guys do. Talk about the alignment between IBM and Microsoft in this new hybrid cloud space. It's really kind of now standardized, but yet it's just now coming. >> Yeah, so again, fantastic question. So the way I think about this is first of all, Microsoft and IBM are philosophically very much aligned. We're both investing in key open source initiatives like the Cloud Native Compute Foundation, CNCF, something that we both believe in. We're both partnering with the Red Hat organization so Red Hat forms a common bond, if you so want to, between Microsoft and IBM. And again, part of this is how can we establish a system of capabilities that every client has access to, and then build on top of that stack. And again, IBM does this very well with their Cloud Paks which are coming out now with data and AI, and others. So open source, open standards are key elements and then you mentioned something critical which I believe is not under, misunderstood, but certainly not appreciated enough is this is about connectivity between businesses and so part of the power of the IBM perspective together with Microsoft is bringing together key business applications for health care, for retail, for manufacturing and really make them work together so that our clients that are-- critical scenarios get the support they need from both IBM as well as Microsoft on top of this common foundation of the CNCF and other open standards. >> You know, it's interesting, I love that point. I'm going to double-down and amplify that and continue to bring it up. Connecting between businesses is one thread but now, people, because you have an edge that's also industrial, business, but also people. People are also participating in open source, people have wearables, people are connected so they can, and also they're connecting with collaboration. So this kind of brings a whole 'nother architecture which I want to get into the solutions with you on on how you see that playing out. But first, I know, you know, you're a veteran with Microsoft for many, many years, for decades. Microsoft's core competency has been ecosystems, developer ecosystems, customer ecosystems. Today, that the services motion is build around ecosystems. You guys have that playbook, IBM's well versed in it, as well. How does that impact your partnerships, your solutions, and how you deal with down this open marketplace? >> Well, let's start with the obvious. Obviously, Microsoft and IBM will work together in common ecosystems. Again, I'm going to reference the CNCF again as the foundation for a lot of these initiatives. But then we are also working together in the Red Hat ecosystem because Red Hat has built an ecosystem that Microsoft and IBM are players in that ecosystem. However, we also are looking higher level 'cause a lot of times when people think ecosystems, it's fairly low-level technology. But Microsoft and IBM are talking about partnerships that are focused on industry scenarios. Again, retail for example, or health care and others where we're building on top of these lower-level ecosystem capabilities and then bringing together the solution scenarios where the strength of IBM capabilities is coupled with Microsoft capabilities to drive this very famous one plus one equals three. And then the other piece that I think we both agree on is the open source ecosystem for software development and software development collaboration. And GitHub is a common anchor that we both believe can feed the world's economy with respect to the software solutions that are needed to really, yeah, bring the capabilities forward, help improve the world's economy and so forth by effectively bringing together brilliant minds across the ecosystem and again, just Microsoft and IBM bringing some people, but the rest of the world obviously participating in that, as well. So thinking again, open source, open standards, and then industry-specific collaboration and capabilities being a key part. You mentioned people. We certainly believe that people play a key role, software developers and the GitHub notion being a key one. But there are others where again, Microsoft with Microsoft 365 has a lot of capabilities in connecting people within the organization and across organizations. And while we're using Zoom, here, a lot of people are utilizing Teams 'cause Teams is on the one side of collaboration platform, but on the other side is also an application host. And so bringing together people collaboration supported and powered by applications from IBM, from Microsoft and others, is going to be, I think, a huge differentiation in terms of how people interact with software in the future. >> Yeah, and I think that whole joint development is a big part of this new people equation where it's not just partnering in market, it's also at the tech, and you've got open source, and it's a just phenomenal innovation formula, there. So let's ask what solutions, here. I want to get into some of the top solutions you're doing that Microsoft that maybe with IBM. But your title as the Corporate Vice President Cloud & AI, c'mon, could you get a better department? I mean, more relevant than that? I mean, it's exciting. You know, cloud scale is driving tons of innovation, AI is eating software or changing the software paradigm. We're going to see that playing out. I've done dozens of interviews just in this past month on how AI's a more, certainly with machine learning, and having a control plane with data, changing the game. So tell us, what are the hot solutions for hybrid cloud and why is this a different ballgame than say, public cloud? >> Well, so first of all, let's talk a little bit about the AI capabilities and data because I think they're two categories. You are seeing an evolution of AI capabilities that are coming out. And again, I just read IBM's announcement about integrating the Cloud Pak with IBM Satellite. I think that's a key capability that IBM is putting out there and we are partnering with IBM in two directions, there. IBM has done a fantastic job to build AI capabilities that are relevant for industries, health care being a very good example, again, retail being another one. And I believe Microsoft and IBM will work on both partnership on the technology side as well as the AI usage in specific verticals. Microsoft is doing similar things. Within our Dynamics product line, we're using AI for business applications, for planning, scheduling, optimizations, risk assessments, those kind of scenarios. And of course, we're using those in the Microsoft 365 environment, as well. I always joke that despite my 30 years at Microsoft, I still don't know how to really use PowerPoint and I can't do a PowerPoint slide for the life of me, but with a new designer, I can actually get help from the system to make beautiful PowerPoint happen. So bringing AI into real life usage I think is the key part. The hybrid scenario is critical here, as well, especially when you start to think about real life scenarios like safety, worker safety in a critical environment, freshness of product. We're seeing retailers deploying cameras and AI inside the retail stores to effectively make sure that the shelves are stocked, that the quality of the vegetables, for example, continues to be high and monitored. And previously, people would do this on an occasional basis running around in the store. Now the store is monitored 24/7 and people get notified when things need fixing. Another really cool scenario set is quality. We are working with a Finnish steel producer that effectively is looking at the stainless steel as it's being produced and they have cameras on this steel that look at specific marks. And if these marks show up then they know that the stainless steel will be bad. And I don't know if you have looked at a manufacturing process, but the earlier they can get failures detected, the better it is because they can most likely, or more often than not, return the product back into the beginning of the funnel and start over. And that's what they're using. So you can see molten steel, logically speaking, with a camera and AI. And previously, humans did this which is obviously A, less reliable and B, dangerous because this is very, very hot, this is very glowing steel. And so increasing safety while at the same time improving the quality is something that we see in hybrid scenarios. Again, autonomous driving, another great scenario where perception AI is going to be utilized. So there's a bunch of capabilities out there that really are hybrid in nature and will help us move forward with key scenarios, safety, quality, and autonomous behaviors like driving and so forth. >> Uli, great, great insight. Great product vision. Great alignment with IBM's hybrid cloud space what all customers are lookin' for, now. And certainly multicloud around the horizon. So great to have you on. Great agility, and congratulations for your continued success. You've got a great area, cloud and AI, and we'll be keeping in touch. I'd love to do a deep dive, sometime. Thanks for coming on. >> John, thank you very much for the invitation and great questions, great interview. Love it, appreciate it. >> Thank you very much. Okay, theCUBE coverage here, at IBM Think 2021 Virtual. I'm John Furrier, your host. Thanks for watching. (soft electronic music) ♪ Dah-De-Da ♪ ♪ Dah-De ♪

>>from around the globe. It's the >>cube >>With digital coverage of IBM think 2021 >>brought to you by IBM. Welcome back to the cubes coverage of IBM Think Virtual 2021. I'm john for your host of the cube. Got three great guests here talking about IBM cloud satellite and AI operations, Lori G O G M of Global SisQo Alliance, Matthew, Engelstad, IBM partner. Lead client partner for Canada financial services and cooper on Kent Asami VP of personal insurance. That economical insurance folks. Thanks for coming on the cube. This great panel on cloud satellite and Ai Ops. Thanks for joining me. >>Thank you. Thank you. Thank you john. Good to see you. >>Well, first let's start with you. There's a general manager for the IBM Cisco Strategic Partnership. Tell us more about the relationship as cloud has become hybrid. It's pretty much determined that's the standard and multi clouds right around the corner. The program ability of the infrastructure is critical and so obviously you can see the modern applications are doing that take us through the IBM Cisco strategic partnership. >>Mhm. Absolutely. So john as you know, and we've talked in the past, it's a 25 year relationship between IBM and Cisco longstanding. Now if you look at Cisco in the past, they've really been known as a networking and hardware company, but with the evolution of Cisco and how they're changing, they're really switching to be more around supporting technology and in the services and software areas. With that change coupled with Kendrell, our spin off of what we were previously calling Newco, we have an opportunity now to refocus all of the work that we're doing as IBM and Cisco going forward. You couple that with the red hat acquisition that we did almost two years ago, we've got a three way partnership here that's really bringing a lot of value to the marketplace. Now, when you look at that from a hybrid cloud perspective, we announced our satellite product which is built on top of Cisco technology with IBM in that as well. And then really taking the security elements of what Cisco does and bringing all this into the fold around that hybrid cloud solution. So we're super excited about this >>real quick. Why have you brought up a couple key points? I just want to get too. I know we're gonna get to it later, but the operating model has shifted, you mentioned with the new co and these relationships, ecosystem relationships and network effect, not just like packets, but like businesses and mps are critical. This new cloud operating model is really a center of of that. That that equation, how does that relate into all that? >>So, the, you know, these operating models and how we're going to market here is changing dramatically and you take what Cisco is doing and you know, we've got a client here with us Today programme who's going to talk about what they're doing with some of this technology. But really taking that at the core of how do you bring value at the client, what are they doing to get that hybrid cloud solution put into place And then what are all those surrounding elements around software managing the apps and things that we need? This is where IBM and Cisco coupled together. Really bring value >>cooper. You got teed up beautifully there so I want to go to you then go to Matthew after but okay, tell us more about this IBM. Cisco dynamic. You guys are hot growth company um doing very well and continuing to grow and sure, post pandemic. It's looking good too. So take us through why you decided to engage IBM and Cisco? >>Sure, sure john thank you. Um you know, to appreciate how we got here and why? We asked IBM and Cisco to help us. Let me first start by providing some background. Our journey started back in 2016 when we launched Sonnet and M. V. P. Uh Sonnet is a fully automated director customer digital channel where customers can quote and buy home and all of his online without the need to engage anyone at economical. Then in 2018, we launched by another m. v. p. Wine is our simplified self serve and digitized broker channel where broker partners can quote and buy home and auto insurance policies for their customers again, without the need to engage anyone at economical. Both uh some wine have won awards for innovation and both have been industry disruptors. You know, after launch we heightened our focus on enhancing business functionality and user experiences, given that we had started with MVPs, it made sense for us to put a lot of emphasis on enhancements initially. And you know, we maintained platform level monitoring capabilities at a macro macro level. We we and and the way we did the enhancement where we stood up agile pods, you know, focused on very specific business mandate. This approach delivered design results for our business. But as our excitement grew for our upcoming I. P. O. And our business started ramping up their growth plans. We needed to increase our focus on fine tuning key components which included enhancing our focus on stability and predictability for our sonnet and wine platforms. And we needed the ability to look deeper and get into the micro level so that we can monitor the pulse of uh you know, every component of our users journey uh across both solid and wine. And we need to help with this. And this is where we engage idea Francisco to help us through this journey >>on that vision real quick. How does the A. I. Fit in more on the automation side or on the upside? I mean I can imagine what that growth in the I. P. O. You're thinking automation I'm assuming. Can you elaborate quickly? >>Absolutely. So I mean if you think about it, it's a lot of data that we get like it's all digitized so we have a lot of data in there and this is where you know the ability to be able to actually mined that data and actually be taking proactive steps in terms of predicting having predictability and all that. That's where the Ai Ops comes in but that's part of our journey through this. >>Yeah that's good. I mean the theme here is transformation is the innovation at scale. Matthew, you lead the financial services division in Canada. What are you seeing as the hot topics uh with your clients and how are you responding? House IBM participating? >>Yeah, absolutely. And cooper and was touching on on this from economical perspective, they already have two leading digital solutions in market with Sonnet on the retail customer side in vine with their broker network. But what we're seeing even more so in the past year or so of the pandemic is a dramatic acceleration of that and then digital experience. So our clients and their customers are expecting digital native solutions that are contextually personalized, highly secure and always available or extremely resilient. Right? That obviously plays into IBM's capabilities and our joint capabilities with our partner ecosystem such as Cisco appdynamics around high hybrid, multi cloud and AI. >>So, if you don't mind if I don't mind following up on that app dynamics point, um can you tell me a little bit more about how that solution played out and how that involved? >>Yeah, absolutely. So first off this was based again on our longstanding relationship with Cisco appdynamics that laura was speaking about and then unique to what cooper and and economical was seeking. Of stitching together the data footprint across the infrastructure architecture. But leveraging data in a business context. And I think that is the unique value that app dynamics brings to this scenario here is a market leading solution that does bring together those multiple datasets, but contextual ISeS them in a business context. So you can understand from a user perspective that end to end journey right from initiation in the application all the way through the technical infrastructure and it becomes very preventative uh in terms of identifying and resolving potential issues before they even occur. >>So empty and this IBM services worked well together right there. That's your key point, right? That's >>absolutely. And that's the point is bringing to bear the best combination of, of solutions and services on behalf of our customers set. And this is where appdynamics and IBM uh, and our other partners work incredibly well together. >>We'll talk about the dynamics. Again, this is again, this highlights the point of the better together combination here with the Cisco relationship and the IBM evolution you mentioned, um what can other clients expect? I mean, this is gonna be the playbook. I mean you got the cloud satellite take us through what this means. What does all this mean? >>Yeah, absolutely. I'll start and maybe even laura can can add as as needed, but from an IBM perspective, absolutely. We're gonna work with our partner ecosystem um in the hybrid, multi cloud world. So uh we've really evolved whether it's IBM cloud aws as some of our clients, including economical and others Microsoft, Azure, um google. Uh It is about bringing those together regardless of strategic decisions made on cloud platform, but understanding how the applications play together and again, stitching together the data across those applications sets to drive value out of it. Uh This is where we're really seeing the evolution of IBM in our partner ecosystem and the evolution of IBM services as well. Awesome. >>Yeah. And if you really look at what Cisco is trying to do, um they've declared they're going to be in this hybrid cloud space. They bring elements to the solution. When you look at networking we look at some of the security and then when we start looking at how this combines with edge technology, we really start getting combinations between the IBM technology, the Cisco technology and how that completes a picture in a solution for a client. >>I love the end to end story, actually hybrids, distributed computer in my mind and now you've got multi club, it's just subsystems and all gonna have to be operated together and the software all makes that happen. I could see tons of headroom opportunity there cooper and talk about what you guys are seeing as results now because this is where you start to see uh the conversation shift too. It's not just go to the cloud anymore, it's make the cloud operational on all environments. That's really people want to see, can you share what you're seeing as a result? And where do you go from there? >>Yeah, absolutely. Um you know what's awesome about all of this is first of all, in a very short time, the team which really was composed of a cross functional and the highly collaborative group of people, uh they've already delivered some key pieces that are giving us line aside into what's going on for our business solution and you know, the implemented uh scope is already detecting symptoms and allowing us to be very proactive and it is also helping us to complete root cause analysis faster, helping us reduce defect linkage through a quality assurance practices. So, you know, for us, as I mentioned earlier, this is a journey like, you know, unlike traditional approaches where um implementations are driven by predetermined scope, we are changing the mindset specifically because we're using a lot of telemetry and continuous discovery in helping transform how our platform is important. You know, it has become part of our philosophy where business and technology are now working closer together and our vision is to navigate yeah continuously towards having a highly automated monitoring solution that leverages cognitive insights and intelligence. So you know to be able to have a robust self healing capability and this is where it kind of ties with the whole cloud capability because now you can actually enable the self self healing capabilities and with afghan um is bringing in the uh uh dynamic capture of issues happening and things like that. And if you kind of step back a bit and if you think of this approach, this is no different than how we envisioned and how we implemented both Summit and Wine where it was a fully digitized end to end solution that provides services and value for excuse me for our customers. Right? So hopefully that changes the picture. >>That's awesome. Great insight, Laura Matthew Gordon? Thanks for coming on the cube in the last minute that we have, let's go down the line laura Matthew cooper on. We'll start with you guys. What's the bottom line for IBM and Cisco relationship with the cloud satellite and a I guess what should people walk away with? What's the bumper sticker? What's the summary? >>So as IBM invest more and more in these strategic cloud hybrid cloud solutions industry focused, it's really bringing an industry focused solution to clients without us having to reinvent that every time. And as you heard from from Kobrin here, I mean we're bringing that value to our customers. >>All right Matthew, >>yeah, I just like to add and this is a great example here of being able to co innovate and collaborate with our partners and with our clients, economical in this case to evolve these solutions And as cooper and had stated, uh, this is the first step in a journey here and there's lots of exciting things to come, >>come on, take us home. Final word. >>Thank you. What I would say is what we've learned from. This is really uh, standing this up more like a garage style kind of situation where you can actually get something going rapid and you get business results and you start seeing RY very quickly. So that's the benefit. I've >>seen some great points. IBM and Cisco better together this ecosystem. The co creation, the new network effects is the new dynamic in the marketplace. This is the table stakes. Thanks for coming on. Thanks for sharing the insight. Thanks for coming. Thank you. Appreciate it. >>Thank you. Thanks a lot john >>Okay. IBM think 2021. I'm John for with the Cube. Thank you for watching. >>Mm

>>From around the globe. It's the cube with digital coverage of AWS reinvent 2020, sponsored by Intel and AWS. >>Welcome back to the cubes coverage of AWS reinvent 2020 I'm Lisa Martin. Joining me next is one of our cube alumni. Breton McMillan is back the director of us, federal for AWS. Right. It's great to see you glad that you're safe and well. >>Great. It's great to be back. Uh, I think last year when we did the cube, we were on the convention floor. It feels very different this year here at reinvent, it's gone virtual and yet it's still true to how reinvent always been. It's a learning conference and we're releasing a lot of new products and services for our customers. >>Yes. A lot of content, as you say, the one thing I think I would say about this reinvent, one of the things that's different, it's so quiet around us. Normally we're talking loudly over tens of thousands of people on the showroom floor, but great. That AWS is still able to connect in such an actually an even bigger way with its customers. So during Theresa Carlson's keynote, want to get your opinion on this or some info. She talked about the AWS open data sponsorship program, and that you guys are going to be hosting the national institutes of health, NIH sequence, read archive data, the biologist, and may former gets really excited about that. Talk to us about that because especially during the global health crisis that we're in, that sounds really promising >>Very much is I am so happy that we're working with NIH on this and multiple other initiatives. So the secret greed archive or SRA, essentially what it is, it's a very large data set of sequenced genomic data. And it's a wide variety of judge you gnomic data, and it's got a knowledge human genetic thing, but all life forms or all branches of life, um, is in a SRA to include viruses. And that's really important here during the pandemic. Um, it's one of the largest and oldest, um, gen sequence genomic data sets are out there and yet it's very modern. It has been designed for next generation sequencing. So it's growing, it's modern and it's well used. It's one of the more important ones that it's out there. One of the reasons this is so important is that we know to find cures for what a human ailments and disease and death, but by studying the gem genomic code, we can come up with the answers of these or the scientists can come up with answer for that. And that's what Amazon is doing is we're putting in the hands of the scientists, the tools so that they can help cure heart disease and diabetes and cancer and, um, depression and yes, even, um, uh, viruses that can cause pandemics. >>So making this data, sorry, I'm just going to making this data available to those scientists. Worldwide is incredibly important. Talk to us about that. >>Yeah, it is. And so, um, within NIH, we're working with, um, the, um, NCBI when you're dealing with NIH, there's a lot of acronyms, uh, and uh, at NIH, it's the national center for, um, file type technology information. And so we're working with them to make this available as an open data set. Why, why this is important is it's all about increasing the speed for scientific discovery. I personally think that in the fullness of time, the scientists will come up with cures for just about all of the human ailments that are out there. And it's our job at AWS to put into the hands of the scientists, the tools they need to make things happen quickly or in our lifetime. And I'm really excited to be working with NIH on that. When we start talking about it, there's multiple things. The scientists needs. One is access to these data sets and SRA. >>It's a very large data set. It's 45 petabytes and it's growing. I personally believe that it's going to double every year, year and a half. So it's a very large data set and it's hard to move that data around. It's so much easier if you just go into the cloud, compute against it and do your research there in the cloud. And so it's super important. 45 petabytes, give you an idea if it were all human data, that's equivalent to have a seven and a half million people or put another way 90% of everybody living in New York city. So that's how big this is. But then also what AWS is doing is we're bringing compute. So in the cloud, you can scale up your compute, scale it down, and then kind of the third they're. The third leg of the tool of the stool is giving the scientists easy access to the specialized tool sets they need. >>And we're doing that in a few different ways. One that the people would design these toolsets design a lot of them on AWS, but then we also make them available through something called AWS marketplace. So they can just go into marketplace, get a catalog, go in there and say, I want to launch this resolve work and launches the infrastructure underneath. And it speeds the ability for those scientists to come up with the cures that they need. So SRA is stored in Amazon S3, which is a very popular object store, not just in the scientific community, but virtually every industry uses S3. And by making this available on these public data sets, we're giving the scientists the ability to speed up their research. >>One of the things that Springs jumps out to me too, is it's in addition to enabling them to speed up research, it's also facilitating collaboration globally because now you've got the cloud to drive all of this, which allows researchers and completely different parts of the world to be working together almost in real time. So I can imagine the incredible power that this is going to, to provide to that community. So I have to ask you though, you talked about this being all life forms, including viruses COVID-19, what are some of the things that you think we can see? I expect this to facilitate. Yeah. >>So earlier in the year we took the, um, uh, genetic code or NIH took the genetic code and they, um, put it in an SRA like format and that's now available on AWS and, and here's, what's great about it is that you can now make it so anybody in the world can go to this open data set and start doing their research. One of our goals here is build back to a democratization of research. So it used to be that, um, get, for example, the very first, um, vaccine that came out was a small part. It's a vaccine that was done by our rural country doctor using essentially test tubes in a microscope. It's gotten hard to do that because data sets are so large, you need so much computer by using the power of the cloud. We've really democratized it and now anybody can do it. So for example, um, with the SRE data set that was done by NIH, um, organizations like the university of British Columbia, their, um, cloud innovation center is, um, doing research. And so what they've done is they've scanned, they, um, SRA database think about it. They scanned out 11 million entries for, uh, coronavirus sequencing. And that's really hard to do in a typical on-premise data center. Who's relatively easy to do on AWS. So by making this available, we can have a larger number of scientists working on the problems that we need to have solved. >>Well, and as the, as we all know in the U S operation warp speed, that warp speed alone term really signifies how quickly we all need this to be progressing forward. But this is not the first partnership that AWS has had with the NIH. Talk to me about what you guys, what some of the other things are that you're doing together. >>We've been working with NIH for a very long time. Um, back in 2012, we worked with NIH on, um, which was called the a thousand genome data set. This is another really important, um, data set and it's a large number of, uh, against sequence human genomes. And we moved that into, again, an open dataset on AWS and what's happened in the last eight years is many scientists have been able to compute about on it. And the other, the wonderful power of the cloud is over time. We continue to bring out tools to make it easier for people to work. So what they're not they're computing using our, um, our instance types. We call it elastic cloud computing. whether they're doing that, or they were doing some high performance computing using, um, uh, EMR elastic MapReduce, they can do that. And then we've brought up new things that really take it to the next layer, like level like, uh, Amazon SageMaker. >>And this is a, um, uh, makes it really easy for, um, the scientists to launch machine learning algorithms on AWS. So we've done the thousand genome, uh, dataset. Um, there's a number of other areas within NIH that we've been working on. So for example, um, over at national cancer Institute, we've been providing some expert guidance on best practices to how, how you can architect and work on these COVID related workloads. Um, NIH does things with, um, collaboration with many different universities, um, over 2,500, um, academic institutions. And, um, and they do that through grants. And so we've been working with doc office of director and they run their grant management applications in the RFA on AWS, and that allows it to scale up and to work very efficiently. Um, and then we entered in with, um, uh, NIH into this program called strides strides as a program for knowing NIH, but also all these other institutions that work within NIH to use the power of the cloud use commercial cloud for scientific discovery. And when we started that back in July of 2018, long before COVID happened, it was so great that we had that up and running because now we're able to help them out through the strides program. >>Right. Can you imagine if, uh, let's not even go there? I was going to say, um, but so, okay. So the SRA data is available through the AWS open data sponsorship program. You talked about strides. What are some of the other ways that AWS system? >>Yeah, no. So strides, uh, is, uh, you know, wide ranging through multiple different institutes. So, um, for example, over at, uh, the national heart lung and blood Institute, uh, do di NHL BI. I said, there's a lot of acronyms and I gel BI. Um, they've been working on, um, harmonizing, uh, genomic data. And so working with the university of Michigan, they've been analyzing through a program that they call top of med. Um, we've also been working with a NIH on, um, establishing best practices, making sure everything's secure. So we've been providing, um, AWS professional services that are showing them how to do this. So one portion of strides is getting the right data set and the right compute in the right tools, in the hands of the scientists. The other areas that we've been working on is making sure the scientists know how to use it. And so we've been developing these cloud learning pathways, and we started this quite a while back, and it's been so helpful here during the code. So, um, scientists can now go on and they can do self-paced online courses, which we've been really helping here during the, during the pandemic. And they can learn how to maximize their use of cloud technologies through these pathways that we've developed for them. >>Well, not education is imperative. I mean, there, you think about all of the knowledge that they have with within their scientific discipline and being able to leverage technology in a way that's easy is absolutely imperative to the timing. So, so, um, let's talk about other data sets that are available. So you've got the SRA is available. Uh, what are their data sets are available through this program? >>What about along a wide range of data sets that we're, um, uh, doing open data sets and in general, um, these data sets are, um, improving the human condition or improving the, um, the world in which we live in. And so, um, I've talked about a few things. There's a few more, uh, things. So for example, um, there's the cancer genomic Atlas that we've been working with, um, national cancer Institute, as well as the national human genomic research Institute. And, um, that's a very important data set that being computed against, um, uh, throughout the world, uh, commonly within the scientific community, that data set is called TCGA. Um, then we also have some, uh, uh, datasets are focused on certain groups. So for example, kids first is a data set. That's looking at a lot of the, um, challenges, uh, in diseases that kids get every kind of thing from very rare pediatric cancer as to heart defects, et cetera. >>And so we're working with them, but it's not just in the, um, uh, medical side. We have open data sets, um, with, uh, for example, uh, NOAA national ocean open national oceanic and atmospheric administration, um, to understand what's happening better with climate change and to slow the rate of climate change within the department of interior, they have a Landsat database that is looking at pictures of their birth cell, like pictures of the earth, so we can better understand the MCO world we live in. Uh, similarly, uh, NASA has, um, a lot of data that we put out there and, um, over in the department of energy, uh, there's data sets there, um, that we're researching against, or that the scientists are researching against to make sure that we have better clean, renewable energy sources, but it's not just government agencies that we work with when we find a dataset that's important. >>We also work with, um, nonprofit organizations, nonprofit organizations are also in, they're not flush with cash and they're trying to make every dollar work. And so we've worked with them, um, organizations like the child mind Institute or the Allen Institute for brain science. And these are largely like neuro imaging, um, data. And we made that available, um, via, um, our open data set, um, program. So there's a wide range of things that we're doing. And what's great about it is when we do it, you democratize science and you allowed many, many more science scientists to work on these problems. They're so critical for us. >>The availability is, is incredible, but also the, the breadth and depth of what you just spoke. It's not just government, for example, you've got about 30 seconds left. I'm going to ask you to summarize some of the announcements that you think are really, really critical for federal customers to be paying attention to from reinvent 2020. >>Yeah. So, um, one of the things that these federal government customers have been coming to us on is they've had to have new ways to communicate with their customer, with the public. And so we have a product that we've had for a while called on AWS connect, and it's been used very extensively throughout government customers. And it's used in industry too. We've had a number of, um, of announcements this weekend. Jasmine made multiple announcements on enhancement, say AWS connect or additional services, everything from helping to verify that that's the right person from AWS connect ID to making sure that that customer's gets a good customer experience to connect wisdom or making sure that the managers of these call centers can manage the call centers better. And so I'm really excited that we're putting in the hands of both government and industry, a cloud based solution to make their connections to the public better. >>It's all about connections these days, but I wish we had more time, cause I know we can unpack so much more with you, but thank you for joining me on the queue today, sharing some of the insights, some of the impacts and availability that AWS is enabling the scientific and other federal communities. It's incredibly important. And we appreciate your time. Thank you, Lisa, for Brett McMillan. I'm Lisa Martin. You're watching the cubes coverage of AWS reinvent 2020.

>>From around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Welcome to cube three 60 fives coverage of the Accenture executive summit. Part of AWS reinvent. I'm your host Rebecca Knight. Today we are joined by a cube alum Karthik NurAin. He is Accenture senior managing director and lead Accenture cloud. First, welcome back to the show Karthik. >>Thank you. Thanks for having me here. >>Always a pleasure. So I want to talk to you. You are an industry veteran, you've been in Silicon Valley for decades. Um, I want to hear from your perspective what the impact of the COVID-19 pandemic has been, what are you hearing from clients? What are they struggling with? What are their challenges that they're facing day to day? >>I think, um, COVID-19 is being a eye-opener from, you know, various facets, you know, um, first and foremost, it's a, it's a head, um, situation that everybody's facing, which is not just, uh, highest economic bearings to it. It has enterprise, um, an organization with bedding to it. And most importantly, it's very personal to people, um, because they themselves and their friends, family near and dear ones are going to this challenge, uh, from various different dimension. But putting that aside, when you come to it from an organization enterprise standpoint, it has changed everything well, the behavior of organizations coming together, working in their campuses, working with each other as friends, family, and, uh, um, near and dear colleagues, all of them are operating differently. So that's what big change to get things done in a completely different way, from how they used to get things done. >>Number two, a lot of things that were planned for normal scenarios, like their global supply chain, how they interact with their client customers, how they coordinate with their partners on how that employees contribute to the success of an organization at all changed. And there are no data models that give them a hint of something like this for them to be prepared for this. So we are seeing organizations, um, that have adapted to this reasonably okay, and are, you know, launching to innovate faster in this. And there are organizations that have started with struggling, but are continuing to struggle. And the gap, uh, between the leaders and legs are widening. So this is creating opportunities in a different way for the leaders, um, with a lot of pivot their business, but it's also creating significant challenge for the lag guides, uh, as we defined in our future systems research that we did a year ago, uh, and those organizations are struggling further. So the gap is actually whitening. >>So you've just talked about the widening gap. I've talked about the tremendous uncertainty that so many companies, even the ones who have adapted reasonably well, uh, in this, in this time, talk a little bit about Accenture cloud first and why, why now? >>I think it's a great question. Um, we believe that for many of our clients COVID-19 has turned, uh, cloud from an experimentation aspiration to an origin mandate. What I mean by that is everybody has been doing something on the other end cloud. There's no company that says we don't believe in cloud. Uh, our, we don't want to do cloud. It was how much they did in cloud. And they were experimenting. They were doing the new things in cloud. Um, but they were operating a lot of their core business outside the cloud or not in the cloud. Those organizations have struggled to operate in this new normal, in a remote fashion as with us, uh, that ability to pivot to all the changes the pandemic has brought to them. But on the other hand, the organizations that had a solid foundation in cloud were able to collect faster and not actually gone into the stage of innovating faster and driving a new behavior in the market, new behavior within their organization. >>So we are seeing that spend to make is actually fast-forwarded something that we always believed was going to happen. This, uh, uh, moving to cloud over the next decade is fast, forwarded it to, uh, happen in the next three to five years. And it's created this moment where it's a once in an era, really replatforming of businesses in the cloud that we are going to see. And we see this moment as a cloud first moment where organizations will use cloud as the, the canvas and the foundation with which they're going to reimagine their business after they were born in the cloud. Uh, and this requires a whole new strategy. Uh, and as Accenture, we are getting a lot in cloud, but we thought that this is the moment where we bring all of that capabilities together because we need a strategy for addressing, moving to cloud are embracing cloud in a holistic fashion. And that's what Accenture cloud first brings together a holistic strategy, a team that's 70,000 plus people that's coming together with rich cloud skills, but investing to tie in all the various capabilities of cloud to Delaware, that holistic strategy to our clients. So I want you to >>Delve into a little bit more about what this strategy actually entails. I mean, it's clearly about embracing change and being willing to experiment and, and having capabilities to innovate. Can you tell us a little bit more about what this strategy entails? >>Yeah. The reason why we say that there's a need for the strategy is, like I said, COVID is not new. There's almost every customer client is doing something with the cloud, but all of them have taken different approaches to cloud and different boundaries to cloud. Some organizations say, I just need to consolidate my multiple data centers to a small data center footprint and move the nest to cloud. Certain other organizations say that well, I'm going to move certain workloads to cloud. Certain other organizations said, well, I'm going to build this Greenfield application or workload in cloud. Certain other said, um, I'm going to use the power of AI ML in the cloud to analyze my data and drive insights. But a cloud first strategy is all of this tied with the corporate strategy of the organization with an industry specific cloud journey to say, if in this current industry, if I were to be reborn in the cloud, would I do it in the exact same passion that I did in the past, which means that the products and services that they offer need to be the matching, how they interact with that customers and partners need to be revisited, how they bird and operate their IP systems need to be the, imagine how they unearthed the data from all the systems under which they attract need to be liberated so that you could drive insights of cloud. >>First strategy. Hans is a corporate wide strategy, and it's a C-suite responsibility. It doesn't take the ownership away from the CIO or CIO, but the CIO is, and CDI was felt that it was just their problem and they were to solve it. And everyone as being a customer, now, the center of gravity is elevated to it becoming a C-suite agenda on everybody's agenda, where probably the CDI is the instrument to execute that that's a holistic cloud-first strategy >>And it, and it's a strategy, but the way you're describing it, it sounds like it's also a mindset and an approach, as you were saying, this idea of being reborn in the cloud. So now how do I think about things? How do I communicate? How do I collaborate? How do I get done? What I need to get done. Talk a little bit about how this has changed, the way you support your clients and how Accenture cloud first is changing your approach to cloud services. >>Wonderful. Um, you know, I did not color one very important aspect in my previous question, but that's exactly what you just asked me now, which is to do all of this. I talked about all of the vehicles, uh, an organization or an enterprise is going to go to, but the good part is they have one constant. And what is that? That is their employees, uh, because you do, the employees are able to embrace this change. If they are able to, uh, change them, says, pivot them says retool and train themselves to be able to operate in this new cloud. First one, the ability to reimagine every function of the business would be happening at speed. And cloud first approach is to do all of this at speed, because innovation is deadly proposed there, do the rate of probability on experimentation. You need to experiment a lot for any kind of experimentation. >>There's a probability of success. Organizations need to have an ability and a mechanism for them to be able to innovate faster for which they need to experiment a lot. The more the experiment and the lower cost at which they experiment is going to help them experiment a lot and experiment demic speed, fail fast, succeed more. And hence, they're going to be able to operate this at speed. So the cloud-first mindset is all about speed. I'm helping the clients fast track that innovation journey, and this is going to happen. Like I said, across the enterprise and every function across every department, I'm the agent of this change is going to be the employee's weapon, race, this change through new skills and new grueling and new mindset that they need to adapt to. >>So Karthik what you're describing it, it sounds so exciting. And yet for a pandemic wary workforce, that's been working remotely that may be dealing with uncertainty if for their kid's school and for so many other aspects of their life, it sounds hard. So how are you helping your clients, employees get onboard with this? And because the change management is, is often the hardest part. >>Yeah, I think it's, again, a great question. A bottle has only so much capacity. Something got to come off for something else to go in. That's what you're saying is absolutely right. And that is again, the power of cloud. The reason why cloud is such a fundamental breakthrough technology and capability for us to succeed in this era, because it helps in various forms. What we talked so far is the power of innovation that could create, but cloud can also simplify the life of the employees in an enterprise. There are several activities and tasks that people do in managing their complex infrastructure, complex ID landscape. They used to do certain jobs and activities in a very difficult, uh, underground about with cloud has simplified. And democratised a lot of these activities. So that things which had to be done in the past, like managing the complexity of the infrastructure, keeping them up all the time, managing the, um, the obsolescence of the capabilities and technologies and infrastructure, all of that could be offloaded to the cloud. >>So that the time that is available for all of these employees can be used to further innovate. Every organization is good to spend almost the same amount of money, but rather than spending activities, by looking at the rear view mirror on keeping the lights on, they're going to spend more money, more time, more energy, and spend their skills on things that are going to add value to their organization. Because you, every innovation that an enterprise can give to their end customer need not come from that enterprise. The word of platform economy is about democratising innovation. And the power of cloud is to get all of these capabilities from outside the four walls of the enterprise, >>It will add value to the organization, but I would imagine also add value to that employee's life because that employee, the employee will be more engaged in his or her job and therefore bring more excitement and energy into her, his or her day-to-day activities too. >>Absolutely. Absolutely. And this is, this is a normal evolution we would have seen everybody would have seen in their lives, that they keep moving up the value chain of what activities that, uh, gets performed buying by those individuals. And there's this, um, you know, no more true than how the United States, uh, as an economy has operated where, um, this is the power of a powerhouse of innovation, where the work that's done inside the country keeps moving up to that. You change. And, um, us leverages the global economy for a lot of things that is required to power the United States and that global economic, uh, phenomenon is very proof for an enterprise as well. There are things that an enterprise needs to do them soon. There are things an employee needs to do themselves. Um, but there are things that they could leverage from the external innovation and the power of innovation that is coming from technologies like cloud. >>So at Accenture, you have long, long, deep Stan, sorry, you have deep and long standing relationships with many cloud service providers, including AWS. How does the Accenture cloud first strategy, how does it affect your relationships with those providers? >>Yeah, we have great relationships with cloud providers like AWS. And in fact, in the cloud world, it was one of the first, um, capability that we started about years ago, uh, when we started developing these capabilities. But five years ago, we hit a very important milestone where the two organizations came together and said that we are forging a pharma partnership with joint investments to build this partnership. And we named that as a Accenture, AWS business group ABG, uh, where we co-invest and brought skills together and develop solutions. And we will continue to do that. And through that investment, we've also made several acquisitions that you would have seen in the recent times, like, uh, an invoice and gecko that we made acquisitions in in Europe. But now we're taking this to the next level. What we are saying is two cloud first and the $3 billion investment that we are bringing in, uh, through cloud first, we are going to make specific investment to create unique joint solution and landing zones foundation, um, cloud packs with which clients can accelerate their innovation or their journey to cloud first. >>And one great example is what we are doing with Takeda, uh, billable, pharmaceutical giant, um, between we've signed a five-year partnership. And it was out in the media just a month ago or so, where we are, the two organizations are coming together. We have created a partnership as a power of three partnership where the three organizations are jointly hoarding hats and taking responsibility for the innovation and the leadership position that Decatur wants to get to with this. We are going to simplify their operating model and organization by providing it flexibility. We're going to provide a lot more insights. Tequila has a 230 year old organization. Imagine the amount of trapped data and intelligence that is there. How about bringing all of that together with the power of AWS and Accenture and Takeda to drive more customer insights, um, come up with breakthrough, uh, R and D uh, accelerate clinical trials and improve the patient experience using AI ML and edge technologies. So all of these things that we will do through this partnership with joint investment from Accenture cloud first, as well as partner like AWS, so that Takeda can realize their gain. And, uh, they're seeing you actually made a statement that five years from now, every ticket an employee will have an AI assistant. That's going to make that beginner employee move up the value chain on how they contribute and add value to the future of tequila with the AI assistant, making them even more equipped and smarter than what they could be otherwise. >>So, one last question to close this out here. What is your future vision for, for Accenture cloud first? What are we going to be talking about at next year's Accenture executive summit? Yeah, the future >>Is going to be, um, evolving, but the part that is exciting to me, and this is, uh, uh, a fundamental belief that we are entering a new era of industrial revolution from industry first, second, and third industry. The third happened probably 20 years ago with the advent of Silicon and computers and all of that stuff that happened here in the Silicon Valley. I think the fourth industrial revolution is going to be in the cross section of, uh, physical, digital and biological boundaries. And there's a great article, um, in what economic forum that, that people, uh, your audience can Google and read about it. Uh, but the reason why this is very, very important is we are seeing a disturbing phenomenon that over the last 10 years, they are seeing a Blackwing of the, um, labor productivity and innovation, which has dropped to about 2.1%. When you see that kind of phenomenon over that longer period of time, there has to be breakthrough innovation that needs to happen to come out of this barrier and get to the next base camp, as I would call it to further this productivity, um, lack that we are seeing, and that is going to happen in the intersection of the physical, digital and biological boundaries. >>And I think cloud is going to be the connective tissue between all of these three, to be able to provide that where it's the edge, especially is going to come closer to the human lives. It's going to come from cloud pick totally in your mind, you can think about cloud as central, either in a private cloud, in a data center or in a public cloud, you know, everywhere. But when you think about edge, it's going to be far reaching and coming close to where we live and maybe work and very, um, get entertained and so on and so forth. And there's going to be, uh, intervention in a positive way in the field of medicine, in the field of entertainment, in the field of, um, manufacturing in the field of, um, uh, you know, mobility. When I say mobility, human mobility, people, transportation, and so on and so forth with all of this stuff, cloud is going to be the connective tissue and the vision of cloud first is going to be, uh, you know, blowing through this big change that is going to happen. And the evolution that is going to happen where, you know, the human grace of mankind, um, our person kind of being very gender neutral in today's world. Um, go first needs to be that beacon of, uh, creating the next generation vision for enterprises to take advantage of that kind of an exciting future. And that's why it, Accenture. We say, let there be change as our, as a purpose. >>I genuinely believe that cloud first is going to be in the forefront of that change agenda, both for Accenture as well as for the rest of the world. Excellent. Let there be change, indeed. Thank you so much for joining us Karthik. A pleasure I'm Rebecca night's stay tuned for more of Q3 60 fives coverage of the Accenture executive summit >>From around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS >>Welcome everyone to the Q virtual and our coverage of the Accenture executive summit, which is part of AWS reinvent 2020. I'm your host Rebecca Knight. Today, we are talking about the green, the cloud and joining me is Kishor Dirk. He is Accenture senior managing director cloud first global services lead. Thank you so much for coming on the show. Kishor nice to meet you. So I want to start by asking you what it is that we mean when we say green cloud, we know that sustainability is a business imperative. So many organizations around the world are committing to responsible innovation, lowering carbon emissions, but what's this, what is it? What does it mean when they talk about cloud from a sustainability perspective? I think it's about responsible innovation being cloud is a cloud first approach that has profits and benefit the clients by helping reduce carbon emissions. >>Think about it this way. You have a large number of data centers. Each of these data centers are increasing by 14% every year. And this double digit growth. What you're seeing is these data centers and the consumption is nearly coolant to the kind of them should have a country like Spain. So the magnitude of the problem that is out there and how do we pursue a green approach. If you look at this, our Accenture analysis, in terms of the migration to public cloud, we've seen that we can reduce that by 59 million tons of CO2 per year with just the 5.9% reduction in total ID emissions and equates this to 22 million cars off the road. And the magnitude of reduction can go a long way in meeting climate change commitments, particularly for data sensitive. >>Wow, that's incredible. What the numbers that you're putting forward are, 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 then they confront, uh, with them a lot of questions, the decision to make, uh, this particular, uh, element sustainable in the solution and benefits they drive and they have to make wise choices, and then they will be unprecedented level of innovation leading to both a greener planet, as well as, uh, a greener balance sheet, I would say, uh, so effectively it's all about ambition data, the ambition, greater the reduction in carbon emissions. So from a cloud migration perspective, we look at it as a, as a simple solution with approaches and sustainability benefits, uh, that vary based on things it's about selecting the right cloud provider, a very carbon thoughtful provider and the first step towards a sustainable cloud journey. >>And here we're looking at cloud operators, obviously they have different corporate commitments towards sustainability, and that determines how they plan, how they build, uh, their, uh, uh, the data centers, how they are consumed and assumptions that operate there and how they, or 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, uh, and average on-prem, uh, drives about 65% energy reduction and the carbon emissions and reduction number was 84%, which is kind of good, I would say. But then if you could go up to 98% by configuring applications to the cloud, that is significant benefit for, uh, for the board. And obviously it's a, a greener cloud that we're talking about. And then the question is, how far can you go? And, uh, you know, the, obviously the companies have to unlock greater financial societal environmental benefits, and Accenture has this cloud based circular operations and sustainable products and services that we bring into play. So it's a, it's a very thoughtful, broader approach that w bringing in, in terms of, uh, just a simple concept of cloud migration, >>We know that in the COVID 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 migration? >>Yeah, I mean, let, let me talk a little bit about the pandemic and the crisis that is there today. And if you really look at that in terms of how we partnered with a lot of our clients in terms of the cloud first approach, I'll give you a couple of examples. We worked with rolls Royce, McLaren, DHL, and others, as part of the ventilator challenge consortium, again, to, uh, coordinate production of medical ventilator surgically needed for the UK health service. Many of these farms I've taken similar initiatives in, in terms of, uh, you know, from a few manufacturers hand sanitizers and to hand sanitizers, and again, leading passionate labels, making PPE, and again, at the UN general assembly, we launched the end-to-end integration guide that helps company essentially to have a sustainable development goals. And that's how we have parking at a very large scale. >>Uh, and, and if you really look at how we work with our clients and what is 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, uh, planning, building, deploying, and managing an optimal green cloud solution. And Accenture has this concept of, uh, helping clients with a platform to kind of achieve that goal. And here we are having, we are having a platform or a mine app, which has a module called BGR advisor. And this is a capability that helps you provide optimal green cloud, uh, you know, a business case, and obviously a blueprint for each of our clients and right from the start in terms of how do we complete cloud migration recommendation to an improved solution, accurate accuracy to obviously bringing in the end to end perspective, uh, you know, with this green card advisor capability, we're helping our clients capture what we call as a carbon footprint for existing data centers and provide, uh, I would say the current cloud CO2 emission score that, you know, obviously helps them, uh, with carbon credits that can further that green agenda. >>So essentially this is about recommending a green index score, reducing carbon footprint for migration migrating for green cloud. And if we look at how Accenture itself is practicing what we preach, 95% of our applications are in the cloud. And this migration has helped us, uh, to lead to about $14.5 million in benefit. And in the third year and another 3 million analytics costs that are saved through right-sizing a service consumption. So it's a very broad umbrella and a footprint in terms of how we engage societaly with the UN or 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's that instead of it, we practice what we preach, and that is something that we take it to heart. We want to 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 can, they know they can take your advice. So talk a little bit about, um, 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 can delve into it a little bit more. >>Okay. So before we get to how we are cooperating, the great reset, uh, 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 COVID-19 crisis. Uh, and in spirit of this cooperation that we're seeing during COVID-19, uh, which will obviously either to post pandemic, to tackle the world's pressing issues. As I say, uh, we are increasing companies to realize a combined potential of technology and sustainable impact to use enterprise solutions, to address with urgency and scale, and, um, obviously, uh, multiple challenges that are facing our world. One of the ways that you're increasing, uh, companies to reach their readiness cloud with Accenture's cloud core strategy is to build a solid foundation that is resilient and will be able to faster to the current, as well as future times. Now, when you think of cloud as the foundation, uh, that drives the digital transformation, it's about scale speed, streamlining your operations, and obviously reducing costs. >>And as these businesses seize the construct of cloud first, they must remain obviously responsible and trusted. Now think about this, right, as part of our analysis, uh, that profitability can co-exist with responsible and sustainable practices. Let's say that all the data centers, uh, migrated from on-prem to cloud based, we estimate that would reduce carbon emissions globally by 60 million tons per year. Uh, and think about it this way, right? Easier metric would be taking out 22 million cars off the road. Um, the other examples that you've seen, right, in terms of the NHS work that they're doing, uh, in, in UK to build, uh, uh, you know, uh, Microsoft teams in based integration. And, uh, the platform rolled out for 1.2 million in interest users, uh, and got 16,000 users that we were able to secure, uh, instant messages, obviously complete audio video calls and host virtual meetings across India. So, uh, this, this work that we did with NHS is something that we have are collaborating with a lot of tools and powering businesses. >>Well, you're vividly describing the business case for sustainability. What do you see as the future of cloud when thinking about it from this lens of sustainability, and also going back to what you were talking about in terms of how you are helping your, your fostering cooperation within these organizations. >>Yeah, that's a very good question. 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 their business. And this is an increasing trend, and there is that option of 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 about unlocking new opportunity, like clean energy foundations enable enabled by cloud based geographic analysis, material, waste reductions, and better data insights. And this is something that, uh, uh, we'll we'll drive, uh, with obviously faster analytics platform that is out there. Now, the sustainability is actually the future of business, which is companies that are historically different, the financial security or agility benefits to cloud. Now sustainability becomes an imperative for them. And I would on expedience Accenture's experience with cloud migrations, we have seen 30 to 40% total cost of ownership savings. And it's driving a greater workload, flexibility, better service, your obligation, and obviously more energy efficient, uh, public clouds that cost we'll see that, that drive a lot of these enterprise own data centers. So in our view, what we are seeing is that this, this, uh, sustainable cloud position helps, uh, helps companies to, uh, drive a lot of the goals in addition to their financial and other goods. >>So what should organizations who are, who are watching this interview and saying, Hey, I need to know more, what, what do you recommend to them? And what, where should they go to get more information on Greenplum? >>No, if you you're, if you are a business leader and you're thinking about which cloud provider is good, or how, how should applications be modernized to meet our day-to-day needs, which cloud driven innovations should be priorities. Uh, you know, that's why Accenture, uh, formed up the cloud first organization and essentially to provide the full stack of cloud services to help our clients become a cloud first business. Um, you know, it's all about excavation, uh, the digital transformation innovating faster, creating differentiated, uh, and sustainable value for our clients. And we're powering it up at 70,000 cloud professionals, $3 billion investment, and, uh, bringing together and services for our clients in terms of cloud solutions. And obviously the ecosystem partnership that we have that we are seeing today, uh, and the assets that help our clients realize their goals. Um, and again, to do reach out to us, uh, we can help them determine obviously, an optimal, sustainable cloud for solution that meets the business needs and being unprecedented levels of innovation. Our experience will be our advantage. And now more than ever, Rebecca, >>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 through? >>So, as CEO's are thinking about rapidly leveraging cloud, migrating to cloud, uh, one of the elements that we want them to be thoughtful about is can they do that, uh, with unprecedent level of innovation, but also build a greener planet and a greener balance sheet, if we can achieve this balance and kind of, uh, have a, have a world which is greener, I think the world will win. And we all along with Accenture clients will win. That's what I would say, uh, >>Optimistic outlook. And I will take it. Thank you so much. Kishor for coming on the show >>That was >>Accenture's Kishor Dirk, I'm Rebecca Knight stay tuned for more of the cube virtuals coverage of the Accenture executive summit >>Around the globe. >>It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>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 are talking about the power of three. And what happens when you bring together the scientific know-how of a global bias biopharmaceutical 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 Arjun Karl hick. He is the chief digital and information officer at Takeda. >>What is your bigger, thank you, Rebecca >>And Brian bowhead, global director, and head of the Accenture AWS business group at Amazon web services. Thanks so much for coming on. Thank you. So, as I said, we're talking today about this relationship between, uh, 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? What, what, why, why move to the cloud and why now? >>Yeah, no, thank you for the question. So, you know, as a biopharmaceutical leader, we're committed to bringing better health and a brighter future to our patients. We're doing that by translating science into some really innovative and life transporting therapies, but throughout, you know, we believe that there's a responsible use of technology, of data and of innovation. And those three ingredients are really key to helping us deliver on that promise. And so, you know, while I think, uh, I'll call it, this cloud journey is already always been a part of our strategy. Um, and we've made some pretty steady progress over the last years with a number of I'll call it diverse approaches to the digital and AI. We just weren't seeing the impact at scale that we wanted to see. Um, and I think that, you know, there's a, there's a need ultimately to, you know, accelerate and, uh, 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, uh, being the most pressing example, uh, but also the global pandemic, both of those highlight the need for us to move faster, um, at the speed of cloud, ultimately. Uh, and so we started thinking outside of the box because it was taking us too long and we decided to leverage this strategic partner model. Uh, and it's giving us a chance to think about our challenges very differently. We call this the power of three, uh, and ultimately our focus is singularly on our patients. I mean, they're waiting for us. We need to get there faster. It can take years. And so I think that there is a focus on innovation, um, 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, uh, I would say that, you know, with cloud now as the, as the launchpad for innovation, you know, our vision all along has been that in less than 10 years, we want every single to kid, uh, associate we're employed to be empowered by an AI assistant. And I think that, you know, that's going to help us make faster, better decisions. That'll help us, uh, fundamentally deliver transformative therapies and better experiences to, to that ecosystem, to our patients, to physicians, to payers, et cetera, much faster than we previously thought possible. Um, and I think that technologies like cloud and edge computing together with a very powerful I'll call it data fabric is going to help us to create this, this real-time, uh, I'll call it the digital ecosystem. >>The data has to flow ultimately seamlessly between our patients and providers or partners or researchers, et cetera. Uh, and so we've been thinking about this, uh, I'll call it legal, hold up, sort of this pyramid, um, that helps us describe our vision. Uh, and a lot of it has to do with ultimately modernizing the foundation, modernizing and rearchitecting, the platforms that drive the company, uh, heightening our focus on data, which means that there's an accelerated shift towards enterprise data platforms and digital products. And then ultimately, uh, uh, P 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, uh, 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, uh, 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 do ideas go from getting tested and months to kind of getting tested in days? You know, how do we collaborate very differently? Uh, and so I think those are three, uh, perhaps of the larger I'll call it, uh, 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, uh, that Carl was referencing there. How, how have you seen that it is enabling, uh, colleagues and teams to communicate differently and interact in new and different ways? Uh, both internally and externally, as Carl said, >>No, th thank you for that. And, um, I've got to give call a lot of credit, because as we started to think about this journey, it was clear, it was a bold ambition. It was, uh, something that, you know, we had all to do differently. And so the, the concept of the power of three that Carl 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, um, what is expected is that the three parties are going to come together and it's more than just the sum of our resources. 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. >>They're one of the best at supply chain. So in addition to resources, when we have supply chain innovations, uh, that's something that they're bringing in addition to just, uh, talent and assets, similarly for Accenture, right? We do a lot, uh, in the talent space. So how do we bring our thinking as to how we apply best practices for talent to this partnership? So, um, 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 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 CEOs that get together every couple of months to think about, uh, this partnership, or it is the governance model that Carl 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 I think ultimately has enabled us to do is it allowed us to move at speed, be more flexible. And ultimately all we're looking at the target the same way, the North side, the same way. >>Brian, what about you? What have you observed and what are you thinking about in terms of how this is helping teams collaborate differently? >>Yeah, absolutely. And RJ made some, some great points there. And I think if you really think about what he's talking about, it's that, that diversity of talent, diversity of skill and viewpoint and even culture, right? And so we see that in the power of three. And then I think if we drill down into what we see at Takeda, and frankly, Takeda was, 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 going to be organized around a product or a service or a capability that we're going to provide to our customers or our patients or donors in this case, it implies a different structure, although altogether, and a different way of thinking, right? >>Because now you've got technical people and business experts and marketing experts, all working together in this is sort of 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 and infrastructure, people in business, people is suboptimal, right? Because we can all access this tool was, and these capabilities and the best way to do that, isn't across kind of a cross collaborative way. And so this is product oriented mindset. It's a keto was already on. I think it's allowed us to move faster in those areas. >>Carl, I want to go back to this idea of unlocking talent and culture. And this is something that both Brian and Arjun have talked about too. 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 re-imagine and reinforce a strong organizational culture, particularly at this time when so many people are working remotely. >>Yeah. It'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, um, you know, driving this, this call it, this, this digital and data kind of capability building, uh, 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 all of the Cato where 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 a global bio-pharmaceutical company and how do we deploy, I'll call it those learning resources very broadly. >>And then secondly, I think that, you know, we're, we're very clear that there's a number of areas where there are 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, we're very kind of quickly kind of creating, uh, avenues excitement for, for associates in that space. So one example specifically, as we use, you know, during these very much sort of remote, uh, sort of days, we, we use what we call global it days, and we set a day aside every single month and this last Friday, um, you know, we, 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. >>Uh, and so I think that that's, you know, one, one element that, uh, can be considered. And then thirdly, um, of course, every organization to work on, how do you prioritize talent, acquisition and management and competencies that you can't rescale? I mean, there are just some new capabilities that we don't have. And so there's a large focus that I have with our executive team and our CEO and thinking through those critical roles that we need to activate in order to kind of, to, to 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. Um, and I think there, you know, this is where the power of three is, is really, uh, kind of coming together nicely. I 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 real, 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 to act just faster. I mean, to 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 a partner like AWS works, or how do we collaborate across the number of boundaries, you know, and I think, uh, Arjun 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 and we'll have to check back in, but I mean, we're early in on this mindset and behavioral shift, um, 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, uh, in the past few months and accelerating drug development is all, uh, is of great interest to all of us. Brian, how does a transformation like this help a company's, uh, ability to become more agile and more innovative and at a quicker speed to, >>Yeah, no, absolutely. And I think some of the things that Carl talked about just now are critical to that, right? I think where sometimes 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 we're, 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 and Carl talked a little bit about the pyramid, um, talent and culture and that change, and the kind of thinking about that has been a first-class citizen since the very beginning, right. That absolutely is critical for, for being there. Um, and, and so that's been, that's been key. And so we think about innovation at Amazon and AWS, and Carl mentioned some of the things that, you know, partner like AWS can bring to the table is we talk a lot about builders, right? >>So kind of obsessive about builders. Um, and, and we meet what we mean by that is we 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, that curiosity, you have that ownership, you have that stake in whatever I'm creating, I'm going to be a co-owner of this product or this service, right. Getting back to that kind of product oriented mindset. And it's not just the technical people or the it people who are builders. It is also the business people as, as Carl talked about. Right. So when we start thinking about, um, innovation again, where we see folks kind of get into a little bit of a 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 going to be putting out technology, but you're not going to have an organization that's ready to take it and scale it and accelerate it. >>Right. And so that's, that's been absolutely critical. So just a couple of things we've been doing with, with Takeda and Decatur has really been leading the way is, think about a mechanism and a process. And it's really been working backward from the customer, right? In this case, again, the patient and the donor. And that was an easy one because the key value of Decatur is to be a patient focused bio-pharmaceutical 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. And Accenture's, and so we were able to bring that together. The other one is, is, is getting used to experimenting and even perhaps failing, right. And being able to iterate and fail fast and experiment and understanding that, you know, some decisions, what we call it at Amazon or two-way doors, meaning you can go through that door, not like what you see and turn around and go back. And cloud really helps there because the costs of experimenting and the cost of failure is so much lower than it's ever been. You can do it much faster and the implications are so much less. So just a couple of things that we've been really driving, uh, with the cadence 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, uh, with our focus on innovation to try to unleash maybe the power of data digital in, uh, in focusing on what I call sort of a Maven. And so we chose our, our, our plasma derived therapy business, um, and you know, the plasma-derived therapy business unit, it develops critical life-saving therapies for patients with rare and complex diseases. Um, but what we're doing is by bringing kind of our energy together, we're focusing on creating, I'll call it state of the art digitally connected donation centers. And we're really modernizing, you know, the, the, the donor experience right now, we're trying to, uh, improve also I'll call it the overall plasma collection process. And so we've, uh, selected a number of alcohol at a very high speed pilots that we're working through right now, specifically in this, in this area. And we're seeing >>Really great results already. Um, and so that's, that's one specific area of focus are Jen, 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? Yes. Sorry. Arjun. >>Yeah, no, I was breaking up a bit. No, I think they, um, the key is what what's 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 and innovating at scale. And, and if you think about that, right, in all the components that you need, uh, ultimately that's where the value is for the company, right? Because yes, you're going to get some cost synergies and that's great, but the true value is in how do we transform the organization in the case of the Qaeda and the 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 there. The plasma derived therapy is a great example of how we're going to 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. Yeah, it's been fun. Thanks Rebecca. >>And thank you for tuning into the cube. Virtual is coverage of the Accenture executive summit >>From around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Welcome everyone to the cubes coverage of Accenture executive summit here at AWS reinvent. I'm your host Rebecca Knight for this segment? We have two guests. First. We have Helen Davis. She is the senior director of cloud platform services, assistant director for it and digital for the West Midlands police. Thanks so much for coming on the show, Helen, and we also have Matthew lb. He is Accenture health and public service associate director and West Midlands police account lead. Thanks so much for coming on the show. Matthew, thank you for joining us. So we are going to be talking about delivering data-driven insights to the West Midlands police force. Helen, I want to start with >>You. Can you tell us a little bit about the West Midlands police force? How big is the force and also what were some of the challenges that you were grappling with prior to this initiative? >>Yeah, certainly. So Westerners police is the second largest police force in the UK, outside of the metropolitan police in London. Um, we have an excessive, um, 11,000 people work at Westman ins police serving communities, um, through, across the Midlands region. So geographically, we're quite a big area as well, as well as, um, being population, um, density, having that as a, at a high level. Um, so the reason we sort of embarked on the data-driven insights platform and it, which was a huge change for us was for a number of reasons. Um, namely we had a lot of disparate data, um, which was spread across a range of legacy systems that were many, many years old, um, with some duplication of what was being captured and no single view for offices or, um, support staff. Um, some of the access was limited. You have to be in a, in an actual police building on a desktop computer to access it. Um, other information could only reach the offices on the front line, through a telephone call back to one of our enabling services where they would do a manual checkup, um, look at the information, then call the offices back, um, and tell them what they needed to know. So it was a very long laborious, um, process and not very efficient. Um, and we certainly weren't exploiting the data that we had in a very productive way. >>So it sounds like as you're describing, and I'm old clunky system that needed a technological, uh, reimagination. So what was the main motivation for, for doing, for making this shift? >>It was really, um, about making us more efficient and more effective in how we do how we do business. So, um, you know, certainly as a, as an it leader and some of my operational colleagues, we recognize the benefits, um, that data analytics could bring in, uh, in a policing environment, not something that was, um, really done in the UK at the time. You know, we have a lot of data, so we're very data rich and the information that we have, but we needed to turn it into information that was actionable. So that's where we started looking for, um, technology partners and suppliers to help us and sort of help us really with what's the art of the possible, you know, this hasn't been done before. So what could we do in this space? That's appropriate, >>Helen. I love that idea. What is the art of the possible, can you tell us a little bit about why you chose AWS? >>I think really, you know, as with all things and when we're procuring a partner in the public sector that, you know, there are many rules and regulations quite rightly as you would expect that to be because we're spending public money. So we have to be very, very careful and, um, it's, it's a long process and we have to be open to public scrutiny. So, um, we sort of look to everything, everything that was available as part of that process, but we recognize the benefits that Clyde would provide in this space because, you know, we're like moving to a cloud environment. We would literally be replacing something that was legacy with something that was a bit more modern. Um, that's not what we wanted to do. Our ambition was far greater than that. So I think, um, in terms of AWS, really, it was around scalability, interoperability, you know, just us things like the disaster recovery service, the fact that we can scale up and down quickly, we call it dialing up and dialing back. Um, you know, it's it's page go. So it just sort of ticked all the boxes for us. And then we went through the full procurement process, fortunately, um, it came out on top for us. So we were, we were able to move forward, but it just sort of had everything that we were looking for in that space. >>Matthew, I want to bring you into the conversation a little bit here. How are you working with a wet with the West Midlands police, sorry. And helping them implement this cloud-first >>Yeah, so I guess, um, by January the West Midlands police started, um, favorite five years ago now. So, um, we set up a partnership with the fools. I wanted to operate in a way that was very different to a traditional supplier relationship. Um, secretary that the data difference insights program is, is one of many that we've been working with last on, um, over the last five years, um, as having said already, um, cloud gave a number of, uh, advantages certainly from a big data perspective and things that, that enabled us today. Um, I'm from an Accenture perspective that allowed us to bring in a number of the different teams that we have say, cloud teams, security teams, um, and drafted from an insurance perspective, as well as the more traditional services that people would associate with the country. >>I mean, so much of this is about embracing comprehensive change to experiment and innovate and try different things. Matthew, how, how do you help, uh, an entity like West Midlands police think differently when they are, there are these ways of doing things that people are used to, how do you help them think about what is the art of the possible, as Helen said, >>There's a few things to that enable those being critical is trying to co-create solutions together. Yeah. There's no point just turning up with, um, what we think is the right answer, try and say, um, collectively work three, um, the issues that the fullest is seeing and the outcomes they're looking to achieve rather than simply focusing on a long list of requirements, I think was critical and then being really open to working together to create the right solution. Um, rather than just, you know, trying to pick something off the shelf that maybe doesn't fit the forces requirements in the way that it should too, >>Right. It's not always a one size fits all. >>Obviously, you know, today what we believe is critical is making sure that we're creating something that met the forces needs, um, in terms of the outcomes they're looking to achieve the financial envelopes that were available, um, and how we can deliver those in a, uh, iterative agile way, um, rather than spending years and years, um, working towards an outcome, um, that is gonna update before you even get that. >>So Helen, how, how are things different? What kinds of business functions and processes have been re-imagined in, in light of this change and this shift >>It's, it's actually unrecognizable now, um, in certain areas of the business as it was before. So to give you a little bit of, of context, when we, um, started working with essentially an AWS on the data driven insights program, it was very much around providing, um, what was called locally, a wizzy tool for our intelligence analyst to interrogate data, look at data, you know, decide whether they could do anything predictive with it. And it was very much sort of a back office function to sort of tidy things up for us and make us a bit better in that, in that area or a lot better in that area. And it was rolled out to a number of offices, a small number on the front line. Um, and really it was, um, in line with a mobility strategy that we, hardware officers were getting new smartphones for the first time, um, to do sort of a lot of things on, on, um, policing apps and things like that to again, to avoid them, having to keep driving back to police stations, et cetera. >>And the pilot was so successful. Every officer now has access to this data, um, on their mobile devices. So it literally went from a handful of people in an office somewhere using it to do sort of clever whizzbang things to, um, every officer in the force, being able to access that level of data at their fingertips. Literally. So what they were touched we've done before is if they needed to check and address or check details of an individual, um, just as one example, they would either have to, in many cases, go back to a police station to look it up themselves on a desktop computer. Well, they would have to make a call back to a centralized function and speak to an operator, relay the questions, either, wait for the answer or wait for a call back with the answer when those people are doing the data interrogation manually. >>So the biggest change for us is the self-service nature of the data we now have available. So officers can do it themselves on their phone, wherever they might be. So the efficiency savings from that point of view are immense. And I think just parallel to that is the quality of our, because we had a lot of data, but just because you've got a lot of data and a lot of information doesn't mean it's big data and it's valuable necessarily. Um, so again, it was having the single source of truth as we, as we call it. So you know that when you are completing those safe searches and getting the responses back, that it is the most accurate information we hold. And also you're getting it back within minutes, as opposed to, you know, half an hour, an hour or a drive back to a station. So it's making officers more efficient and it's also making them safer. The more efficient they are, the more time they have to spend out with the public doing what they, you know, we all should be doing, >>Seen that kind of return on investment, because what you were just describing with all the steps that we needed to be taken in prior to this, to verify an address say, and those are precious seconds when someone's life is on the line in, in sort of in the course of everyday police work. >>Absolutely. Yeah, absolutely. It's difficult to put a price on it. It's difficult to quantify. Um, but all the, you know, the minutes here and that certainly add up to a significant amount of efficiency savings, and we've certainly been able to demonstrate the officers are spending less time up police stations as a result or more time out on the front frontline also they're safer because they can get information about what may or may not be and address what may or may not have occurred in an area before very, very quickly without having to wait. >>Thank you. I want to hear your observations of working so closely with this West Midlands police. Have you noticed anything about changes in its culture and its operating model in how police officers interact with one another? Have you seen any changes since this technology change? >>What's unique about the Western new misplaces, the buy-in from the top down, the chief and his exact team and Helen as the leader from an IOT perspective, um, the entire force is bought in. So what is a significant change program? Uh, I'm not trickles three. Um, everyone in the organization, um, change is difficult. Um, and there's a lot of time effort. That's been put into both the technical delivery and the business change and adoption aspects around each of the projects. Um, but you can see the step change that is making in each aspect to the organization, uh, and where that's putting West Midlands police as a leader in, um, technology I'm policing in the UK. And I think globally, >>And this is a question for both of you because Matthew, as you said, change is difficult and there is always a certain intransigence in workplaces about this is just the way we've always done things and we're used to this and don't try us to get us. Don't try to get us to do anything new here. It works. How do you get the buy-in that you need to do this kind of digital transformation? >>I think it, it would be wrong to say it was easy. Um, um, we also have to bear in mind that this was one program in a five-year program. So there was a lot of change going on, um, both internally for some of our back office functions, as well as front Tai, uh, frontline offices. So with DDI in particular, I think the stat change occurred when people could see what it could do for them. You know, we had lots of workshops and seminars where we all talk about, you know, big data and it's going to be great and it's data analytics and it's transformational, you know, and quite rightly people that are very busy doing a day job that not necessarily technologists in the main and, you know, are particularly interested quite rightly so in what we are not dealing with the cloud, you know? >>And it was like, yeah, okay. It's one more thing. And then when they started to see on that, on their phones and what teams could do, that's when it started to sell itself. And I think that's when we started to see, you know, to see the stat change, you know, and, and if we, if we have any issues now it's literally, you know, our help desks in meltdown. Cause everyone's like, well, we call it manage without this anymore. And I think that speaks for itself. So it doesn't happen overnight. It's sort of incremental changes and then that's a step change in attitude. And when they see it working and they see the benefits, they want to use it more. And that's how it's become fundamental to all policing by itself, really, without much selling >>You, Helen just made a compelling case for how to get buy in. Have you discovered any other best practices when you are trying to get everyone on board for this kind of thing? >>We've um, we've used a lot of the traditional techniques, things around comms and engagement. We've also used things like, um, the 30 day challenge and nudge theory around how can we gradually encourage people to use things? Um, I think there's a point where all of this around, how do we just keep it simple and keep it user centric from an end user perspective? I think DDI is a great example of where the, the technology is incredibly complex. The solution itself is, um, you know, extremely large and, um, has been very difficult to, um, get delivered. But at the heart of it is a very simple front end for the user to encourage it and take that complexity away from them. Uh, I think that's been critical through the whole piece of DDR. >>One final word from Helen. I want to hear, where do you go from here? What is the longterm vision? I know that this has made productivity, um, productivity savings equivalent to 154 full-time officers. Uh, what's next, >>I think really it's around, um, exploiting what we've got. Um, I use the phrase quite a lot, dialing it up, which drives my technical architects crazy. But so, because it's apparently not that simple, but, um, you know, we've, we've been through significant change in the last five years and we are still continuing to batch all of those changes into everyday, um, operational policing. But what we need to see is we need to exploit and build on the investments that we've made in terms of data and claims specifically, the next step really is about expanding our pool of data and our functions. Um, so that, you know, we keep getting better and better at this. And the more we do, the more data we have, the more refined we can be, the more precise we are with all of our actions. Um, you know, we're always being expected to, again, look after the public purse and do more for less. >>And I think this is certainly an and our cloud journey and, and cloud first by design, which is where we are now, um, is helping us to be future-proofed. So for us, it's very much an investment. And I see now that we have good at embedded in operational policing for me, this is the start of our journey, not the end. So it's really exciting to see where we can go from here. Exciting times. Indeed. Thank you so much. Lily, Helen and Matthew for joining us. I really appreciate it. Thank you. And you are watching the cube stay tuned for more of the cubes coverage of the AWS reinvent Accenture executive summit. I'm Rebecca Knight from around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Welcome to the cube virtual coverage of the executive summit at AWS reinvent 2020 virtual. This is the cube virtual. We can't be there in person like we are every year we have to be remote. This executive summit is with special programming supported by Accenture where the cube virtual I'm your host John for a year, we had a great panel here called uncloud first digital transformation from some experts, Stuart driver, the director of it and infrastructure and operates at lion Australia, Douglas Regan, managing director, client account lead at lion for Accenture as a deep Islam associate director application development lead for Centure gentlemen, thanks for coming on the cube virtual that's a mouthful, all that digital, but the bottom line it's cloud transformation. This is a journey that you guys have been on together for over 10 years to be really a digital company. Now, some things have happened in the past year that kind of brings all this together. This is about the next generation organization. So I want to ask Stuart you first, if you can talk about this transformation at lion has undertaken some of the challenges and opportunities and how this year in particular has brought it together because you know, COVID has been the accelerant of digital transformation. Well, if you're 10 years in, I'm sure you're there. You're in the, uh, on that wave right now. Take a minute to explain this transformation journey. >>Yeah, sure. So a number of years back, we, we looked at kind of our infrastructure in our landscape trying to figure out where we >>Wanted to go next. And we were very analog based and stuck in the old it groove of, you know, Capitol reef rash, um, struggling to transform, struggling to get to a digital platform and we needed to change it up so that we could become very different business to the one that we were back then obviously cloud is an accelerant to that. And we had a number of initiatives that needed a platform to build on. And a cloud infrastructure was the way that we started to do that. So we went through a number of transformation programs that we didn't want to do that in the old world. We wanted to do it in a new world. So for us, it was partnering up with a dried organizations that can take you on the journey and, uh, you know, start to deliver bit by bit incremental progress, uh, to get to the, uh, I guess the promise land. >>Um, we're not, not all the way there, but to where we're on the way along. And then when you get to some of the challenges like we've had this year, um, it makes all of the hard work worthwhile because you can actually change pretty quickly, um, provide capacity and, uh, and increase your environments and, you know, do the things that you need to do in a much more dynamic way than we would have been able to previously where we might've been waiting for the hardware vendors, et cetera, to deliver capacity. So for us this year, it's been a pretty strong year from an it perspective and delivering for the business needs >>Before I hit the Douglas. I want to just real quick, a redirect to you and say, you know, if all the people said, Oh yeah, you got to jump on cloud, get in early, you know, a lot of naysayers like, well, wait till to mature a little bit, really, if you got in early and you, you know, paying your dues, if you will taking that medicine with the cloud, you're really kind of peaking at the right time. Is that true? Is that one of the benefits that comes out of this getting in the cloud? Yeah, >>John, this has been an unprecedented year, right. And, um, you know, Australia, we had to live through Bush fires and then we had covert and, and then we actually had to deliver a, um, a project on very nice transformational project, completely remote. And then we also had had some, some cyber challenges, which is public as well. And I don't think if we weren't moved into and enabled through the cloud, we would have been able to achieve that this year. It would have been much different and would have been very difficult to do the backing. We're able to work and partner with Amazon through this year, which is unprecedented and actually come out the other end and we've delivered a brand new digital capability across the entire business. Um, in many, you know, wouldn't have been impossible if we could, I guess, stayed in the old world. The fact that we were moved into the new Naval by the new allowed us to work in this unprecedented year. >>Just quilt. What's your personal view on this? Because I've been saying on the Cuban reporting necessity is the mother of all invention and the word agility has been kicked around as kind of a cliche, Oh, it'd be agile. You know, we're going to get the city, you get a minute on specifically, but from your perspective, uh, Douglas, what does that mean to you? Because there is benefits there for being agile. And >>I mean, I think as Stuart mentioned, right, in a lot of these things we try to do and, you know, typically, you know, hardware and, uh, the last >>To be told and, and, and always on the critical path to be done, we really didn't have that in this case, what we were doing with our projects in our deployments, right. We were able to move quickly able to make decisions in line with the business and really get things going. Right. So you see a lot of times in a traditional world, you have these inhibitors, you have these critical path, it takes weeks and months to get things done as opposed to hours and days, and, and truly allowed us to, we had to, you know, VJ things, move things. And, you know, we were able to do that in this environment with AWS to support and the fact that they can kind of turn things off and on as quickly as we needed. >>Yeah. Cloud-scale is great for speed. So DECA, Gardez get your thoughts on this cloud first mission, you know, it, you know, the dev ops world, they saw this early, that jumping in there, they saw the, the, the agility. Now the theme this year is modern applications with the COVID pandemic pressure, there's real business pressure to make that happen. How did you guys learn to get there fast? And what specifically did you guys do at Accenture and how did it all come together? Can you take us inside kind of how it played out? >>Right. So, yeah, we started off with, as we do in most cases with a much more bigger group, and we worked with lions functional experts and, uh, the lost knowledge that allowed the infrastructure had. Um, we then applied our journey to cloud strategy, which basically revolves around the seminars and, and, uh, you know, the deep three steps from our perspective, uh, assessing the current and bottom and setting up the new cloud environment. And as we go modernizing and, and migrating these applications to the cloud now, you know, one of the key things that, uh, you know, we learned along this journey was that, you know, you can have the best plans, but bottom line that we were dealing with, we often than not have to make changes, uh, what a lot of agility and also work with a lot of collaboration with the, uh, lion team, as well as, uh, uh, AWS. I think the key thing for me was being able to really bring it all together. It's not just, uh, you know, we want to hear it's all of us working together to make this happen. >>What were some of the learnings real quick journey there? >>So I think perspective, the key learnings were that, you know, uh, you know, work, when you look back at, uh, the, the infrastructure that was that we were trying to migrate over to the cloud. A lot of the documentation, et cetera, was not, uh, available. We were having to, uh, figure out a lot of things on the fly. Now that really required us to have, uh, uh, people with deep expertise who could go into those environments and, and work out, uh, you know, the best ways to, to migrate the workloads to the cloud. Uh, I think, you know, the, the biggest thing for me was making sure all the had on that real SMEs across the board globally, that we could leverage across the various technologies, uh, uh, and, and, and, you know, that would really work in our collaborative and agile environment with line. >>Let's do what I got to ask you. How did you address your approach to the cloud and what was your experience? >>Yeah, for me, it's around getting the foundations right. To start with and then building on them. Um, so, you know, you've got to have your, your, your process and you've got to have your, your kind of your infrastructure there and your blueprints ready. Um, AWS do a great job of that, right. Getting the foundations right. And then building upon it, and then, you know, partnering with Accenture allows you to do that very successfully. Um, I think, um, you know, the one thing that was probably surprising to us when we started down this journey and kind of after we got a long way down the track and looking backwards is actually how much you can just turn off. Right? So a lot of stuff that you, uh, you get electric with a legacy in your environment, and when you start to work through it with the types of people that civic just mentioned, you know, the technical expertise working with the business, um, you can really rationalize your environment and, uh, you know, cloud is a good opportunity to do that, to drive that legacy out. >>Um, so you know, a few things there, the other thing is, um, you've got to try and figure out the benefits that you're going to get out of moving here. So there's no point in just taking something that is not delivering a huge amount of value in the traditional world, moving it into the cloud, and guess what is going to deliver the same limited amount of value. So you've got to transform it, and you've got to make sure that you build it for the future and understand exactly what you're trying to gain out of it. So again, you need a strong collaboration. You need a good partners to work with, and you need good engagement from the business as well, because the kind of, uh, you know, digital transformation, cloud transformation, isn't really an it project, I guess, fundamentally it is at the core, but it's a business project that you've got to get the whole business aligned on. You've got to make sure that your investment streams are appropriate and that's, uh, you're able to understand the benefits and the value that say, you're going to drive back towards the business. >>Let's do it. If you don't mind me asking, what was some of the obstacles you encountered or learnings, um, that might different from the expectation we all been there, Hey, you know, we're going to change the world. Here's the sales pitch, here's the outcome. And then obviously things happen, you know, you learn legacy, okay. Let's put some containerization around that cloud native, um, all that rational. You're talking about what are, and you're going to have obstacles. That's how you learn. That's how perfection has developed. How, what obstacles did you come up with and how are they different from your expectations going in? >>Yeah, they're probably no different from other people that have gone down the same journey. If I'm totally honest, the, you know, 70 or 80% of what you do is relatively easy of the known quantity. It's relatively modern architectures and infrastructures, and you can upgrade, migrate, move them into the cloud, whatever it is, rehost, replatform, rearchitect, whatever it is you want to do, it's the other stuff, right? It's the stuff that always gets left behind. And that's the challenge. It's, it's getting that last bit over the line and making sure that you haven't been invested in the future while still carrying all of your legacy costs and complexity within your environment. So, um, to be quite honest, that's probably taken longer and has been more of a challenge than we thought it would be. Um, the other piece I touched on earlier on in terms of what was surprising was actually how much of, uh, your environment is actually not needed anymore. >>When you start to put a critical eye across it and understand, um, uh, ask the tough questions and start to understand exactly what, what it is you're trying to achieve. So if you ask a part of a business, do they still need this application or this service a hundred percent of the time, they will say yes until you start to lay out to them, okay, now I'm going to cost you this to migrate it or this, to run it in the future. And, you know, here's your ongoing costs and, you know, et cetera, et cetera. And then, uh, for a significant amount of those answers, you get a different response when you start to layer on the true value of it. So you start to flush out those hidden costs within the business, and you start to make some critical decisions as a company based on, uh, based on that. So that was a little tougher than we first thought and probably broader than we thought there was more of that than we anticipated, um, which actually results in a much cleaner environment, post post migration, >>You know, the old expression, if it moves automated, you know, it's kind of a joke on government, how they want to tax everything, you know, you want to automate, that's a key thing in cloud, and you've got to discover those opportunities to create value Stuart and Siddique. Mainly if you can weigh in on this love to know the percentage of total cloud that you have now, versus when you started, because as you start to uncover whether it's by design for purpose, or you discover opportunity to innovate, like you guys have, I'm sure it kind of, you took on some territory inside Lyon, what percentage of cloud now versus start? >>Yeah. And at the start it was minimal, right. You know, close to zero, right. Single and single digits. Right. It was mainly SAS environments that we had, uh, sitting in clouds when we, uh, when we started, um, Doug mentioned earlier on a really significant transformation project, um, that we've undertaken and recently gone live on a multi-year one. Um, you know, that's all stood up on AWS and is a significant portion of our environment, um, in terms of what we can move to cloud. Uh, we're probably at about 80 or 90% now. And the balance bit is, um, legacy infrastructure that is just going to retire as we go through the cycle rather than migrate to the cloud. Um, so we are significantly cloud-based and, uh, you know, we're reaping the benefits of it in a year, like 2020, and makes you glad that you did all of the hard yards in the previous years when you started that business challenges thrown out as, >>So do you any common reaction still the cloud percentage penetration? >>Sorry, I didn't, I didn't guys don't, but I, I was going to say it was, I think it's like the 80 20 rule, right? We, we, we worked really hard in the, you know, I think 2018, 19 to get any person off, uh, after getting onto the cloud and, or the last year is the 20% that we have been migrating. And Stuart said like a non-athlete that is also, that's going to be the diet. And I think our next big step is going to be obviously, you know, the icing on the cake, which is to decommission all these apps as well. Right. So, you know, to get the real benefits out of, uh, the whole conservation program from a, uh, from a >>Douglas and Stewart, can you guys talk about the decision around the cloud because you guys have had success with AWS, why AWS how's that decision made? Can you guys give some insight into some of those thoughts? >>I can, I can start, start off. I think back when the decision was made and it was, Oh, it was a while back, um, you know, there's some clear advantages of moving relay, Ws, a lot of alignment with some of the significant projects and, uh, the trend, that particular one big transformation project that we've alluded to as well. Um, you know, we needed some, um, some very robust and, um, just future proof and, um, proven technology. And AWS gave that to us. We needed a lot of those blueprints to help us move down the path. We didn't want to reinvent everything. So, um, you know, having a lot of that legwork done for us and an AWS gives you that, right. And particularly when you partner up with, uh, with a company like Accenture as well, you get combinations of the technology and the skills and the knowledge to, to move you forward in that direction. >>So, um, you know, for us, it was a, uh, uh, it was a decision based on, you know, best of breed, um, you know, looking forward and, and trying to predict the future needs and, and, and kind of the environmental that we might need. Um, and, you know, partnering up with organizations that can take you on the journey. Yeah. And just to build on it. So obviously, you know, lion's like an NWS, but, you know, we knew it was a very good choice given that, um, uh, the skills and the capability that we had, as well as the assets and tools we had to get the most out of, um, out of AWS. And obviously our, our CEO globally is just spending, you know, announcement about a huge investment that we're making in cloud. Um, but you know, we've, we've worked very well. AWS, we've done some joint workshops and joint investments, um, some joint POC. So yeah, w we have a very good working relationship, AWS, and I think, um, one incident to reflect upon whether it's cyber it's and again, where we actually jointly, you know, dove in with, um, with Amazon and some of their security experts and our experts. And we're able to actually work through that with mine quite successful. So, um, you know, really good behaviors as an organization, but also really good capabilities. >>Yeah. As you guys, you're essential cloud outcomes, research shown, it's the cycle of innovation with the cloud. That's creating a lot of benefits, knowing what you guys know now, looking back certainly COVID is impacted a lot of people kind of going through the same process, knowing what you guys know now, would you advocate people to jump on this transformation journey? If so, how, and what tweaks they make, which changes, what would you advise? >>Uh, I might take that one to start with. Um, I hate to think where we would have been when, uh, COVID kicked off here in Australia and, you know, we were all sent home, literally were at work on the Friday, and then over the weekend. And then Monday, we were told not to come back into the office and all of a sudden, um, our capacity in terms of remote access and I quadrupled, or more four, five X, what we had on the Friday we needed on the Monday. And we were able to stand that up during the day Monday into Tuesday, because we were cloud-based and, uh, you know, we just spun up your instances and, uh, you know, sort of our licensing, et cetera. And we had all of our people working remotely, um, within, uh, you know, effectively one business day. Um, I know peers of mine in other organizations and industries that are relying on kind of a traditional wise and getting hardware, et cetera, that were weeks and months before they could get there the right hardware to be able to deliver to their user base. >>So, um, you know, one example where you're able to scale and, uh, um, get, uh, get value out of this platform beyond probably what was anticipated at the time you talk about, um, you know, less the, in all of these kinds of things. And you can also think of a few scenarios, but real world ones where you're getting your business back up and running in that period of time is, is just phenomenal. There's other stuff, right? There's these programs that we've rolled out, you do your sizing, um, and in the traditional world, you would just go out and buy more servers than you need. And, you know, probably never realize the full value of those, you know, the capability of those servers over the life cycle of them. Whereas, you know, in a cloud world, you put in what you think is right. And if it's not right, you pump it up a little bit when, when all of your metrics and so on, tell you that you need to bump it up. And conversely you scale it down at the same rate. So for us, with the types of challenges and programs and, uh, uh, and just business need, that's come at as this year, uh, we wouldn't have been able to do it without a strong cloud base, uh, to, uh, to move forward. >>You know, Douglas, one of the things I talked to, a lot of people on the right side of history who have been on the right wave with cloud, with the pandemic, and they're happy, they're like, and they're humble. Like, well, we're just lucky, you know, luck is preparation meets opportunity. And this is really about you guys getting in early and being prepared and readiness. This is kind of important as people realize, then you gotta be ready. I mean, it's not just, you don't get lucky by being in the right place, the right time. And there were a lot of companies were on the wrong side of history here who might get washed away. This is a super important, I think, >>To echo and kind of building on what Stewart said. I think that the reason that we've had success and I guess the momentum is we didn't just do it in isolation within it and technology. It was actually linked to broader business changes, you know, creating basically a digital platform for the entire business, moving the business, where are they going to be able to come back stronger after COVID, when they're actually set up for growth, um, and actually allows, you know, a line to achievements growth objectives, and also its ambitions as far as what it wants to do, uh, with growth in whatever they make, do with acquiring other companies and moving into different markets and launching new products. So we've actually done it in a way that is, you know, real and direct business benefit, uh, that actually enables line to grow >>General. I really appreciate you coming. I have one final question. If you can wrap up here, uh, Stuart and Douglas, you don't mind weighing in what's the priorities for the future. What's next for lion in a century >>Christmas holidays, I'll start Christmas holidays. I spent a good year and then a, and then a reset, obviously, right? So, um, you know, it's, it's figuring out, uh, transform what we've already transformed, if that makes sense. So God, a huge proportion of our services sitting in the cloud. Um, but we know we're not done even with the stuff that is in there. We need to take those next steps. We need more and more automation and orchestration. We need to, um, our environment is more future proof. We need to be able to work with the business and understand what's coming at them so that we can, um, you know, build that into, into our environment. So again, it's really transformation on top of transformation is the way that I'll describe it. And it's really an open book, right? Once you get it in and you've got the capabilities and the evolving tool sets that AWS continue to bring to the market based, um, you know, working with the partners to, to figure out how we unlock that value, um, you know, drive our costs down efficiency, uh, all of those kind of, you know, standard metrics. >>Um, but you know, we're looking for the next things to transform and showed value back out to our customer base, um, that, uh, that we continue to, you know, sell our products to and work with and understand how we can better meet their needs. Yeah, I think just to echo that, I think it's really leveraging this and then did you capability they have and getting the most out of that investment. And then I think it's also moving to, uh, and adopting more new ways of working as far as, you know, the speed of the business, um, is getting up to speed in the market is changing. So being able to launch and do things quickly and also, um, competitive and efficient operating costs, uh, now that they're in the cloud, right? So I think it's really leveraging the most out of the platform and then, you know, being efficient in launching things. So putting them with >>Siddique, any word from you on your priorities by you see this year in folding, >>There's got to say like e-learning squares, right, for me around, you know, just journey. This is a journey to the cloud, right? >>And, uh, you know, as well dug into sort of Saturday, it's getting all, you know, different parts of the organization along the journey business to it, to your, uh, product lenders, et cetera. Right. And it takes time. It is tough, but, uh, uh, you know, you got to get started on it. And, you know, once we, once we finish off, uh, it's the realization of the benefits now that, you know, looking forward, I think for, from Alliance perspective, it is, uh, you know, once we migrate all the workloads to the cloud, it is leveraging, uh, all stack drive. And as I think Stewart said earlier, uh, with, uh, you know, the latest and greatest stuff that AWS it's basically working to see how we can really, uh, achieve more better operational excellence, uh, from a, uh, from a cloud perspective. >>Well, Stewart, thanks for coming on with a and sharing your environment and what's going on and your journey you're on the right wave. Did the work you're in, it's all coming together with faster, congratulations for your success, and, uh, really appreciate Douglas with Steve for coming on as well from essential. Thank you for coming on. Thanks, John. Okay. Just the cubes coverage of executive summit at AWS reinvent. This is where all the thought leaders share their best practices, their journeys, and of course, special programming with Accenture and the cube. I'm Sean ferry, 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. >>Welcome everyone to the cube virtuals coverage of the Accenture executive summit. Part of AWS reinvent 2020. I'm your host Rebecca Knight. We are talking today about reinventing the energy data platform. We have two guests joining us. First. We have Johan Krebbers. He is the GM digital emerging technologies and VP of it. Innovation at shell. Thank you so much for coming on the show, Johan you're welcome. And next we have Liz Dennett. She is the lead solution architect for O S D U on AWS. Thank you so much, Liz, maybe here. So I want to start our conversation by talking about OSD. You like so many great innovations. It started with a problem. Johann, what was the problem you were trying to solve at shell? We go back a couple of years, we started summer 2017, where we had a meeting with the guys from exploration in shell, and the main problem they had, of course, they got lots of lots of data, but are unable to find the right data. They need to work from all over the place and told him >>To, and we'll probably try to solve is how that person working exploration could find their proper date, not just a day, but also the date you really needed that we did probably talked about is summer 2017. And we said, okay, the only way ABC is moving forward is to start pulling that data into a single data platform. And that, that was at the time that we called it as the, you, the subsurface data universe in there was about the shell name was so in, in January, 2018, we started a project with Amazon to start grating a co fricking that building, that Stu environment, that the, the universe, so that single data level to put all your exploration and Wells data into that single environment that was intent. And every cent, um, already in March of that same year, we said, well, from Michele point of view, we will be far better off if we could make this an industry solution and not just a shelf solution, because Shelby, Shelby, if you can make an industry solution, but people are developing applications for it. >>It also is far better than for shell to say we haven't shell special solution because we don't make money out of how we start a day that we can make money out of it. We have access to the data, we can explore the data. So storing the data we should do as efficiently possibly can. So we monitor, we reach out to about eight or nine other last, uh, or I guess operators like the economics, like the tutorials, like the shepherds of this world and say, Hey, we inshallah doing this. Do you want to join this effort? And to our surprise, they all said, yes. And then in September, 2018, we had our kickoff meeting with your open group where we said, we said, okay, if you want to work together and lots of other companies, we also need to look at, okay, how, how we organize that. >>Or if you started working with lots of large companies, you need to have some legal framework around some framework around it. So that's why we went to the open group and say, okay, let's, let's form the old forum as we call it at the time. So it's September, 2080, where I did a Galleria in Houston, but the kickoff meeting for the OT four with about 10 members at the time. So that's just over two years ago, we started an exercise for me called ODU. They kicked it off. Uh, and so that's really them will be coming from and how we've got there. Also >>The origin story. Um, what, so what digging a little deeper there? What were some of the things you were trying to achieve with the OSU? >>Well, a couple of things we've tried to achieve with you, um, first is really separating data from applications for what is, what is the biggest problem we have in the subsurface space that the data and applications are all interlinked or tied together. And if, if you have them and a new company coming along and say, I have this new application and he's access to the data that is not possible because the data often interlinked with the application. So the first thing we did is really breaking the link between the application, the data as those levels, the first thing we did, secondly, put all the data to a single data platform, take the silos out what was happening in the sub-service space. They got all the data in what we call silos in small little islands out there. So what we're trying to do is first break the link to great, great. >>They put the data single day, the bathroom, and the third part, put a standard layer on top of that, it's an API layer on top to equate a platform. So we could create an ecosystem out of companies to start a valving Schoff application on top of dev data platform across you might have a data platform, but you're only successful if have a rich ecosystem of people start developing applications on top of that. And then you can export the data like small companies, last company, university, you name it, we're getting after create an ecosystem out here. So the three things were first break the link between application data, just break it and put data at the center and also make sure that data, this data structure would not be managed by one company, but it would only be met. It would be managed the data structures by the ODI forum. Secondly, then put a, the data, a single data platform certainly then has an API layer on top and then create an ecosystem. Really go for people, say, please start developing applications, because now you had access to the data. I've got the data no longer linked to somebody whose application was all freely available, but an API layer that was, that was all September, 2018, more or less. >>And hear a little bit. Can you talk a little bit about some of the imperatives from the AWS standpoint in terms of what you were trying to achieve with this? Yeah, absolutely. And this whole thing is Johann said started with a challenge that was really brought out at shell. The challenges that geoscientists spend up to 70% of their time looking for data. I'm a geologist I've spent more than 70% of my time trying to find data in these silos. And from there, instead of just figuring out how we could address that one problem, we worked together to really understand the root cause of these challenges and working backwards from that use case OSU and OSU on AWS has really enabled customers to create solutions that span, not just this in particular problem, but can really scale to be inclusive of the entire energy value chain and deliver value from these use cases to the energy industry and beyond. Thank you, Lee, uh, Johann. So talk a little bit about Accenture's cloud first approach and how it has, uh, helped shell work faster and better with speed. >>Well, of course, access a cloud first approach only works together. It's been an Amazon environment, AWS environment. So we're really looking at, uh, at, at Accenture and others altogether helping shell in this space. Now the combination of the two is what we're really looking at, uh, where access of course can be recent knowledge student to that environment operates support knowledge, do an environment. And of course, Amazon will be doing that to today's environment that underpinning their services, et cetera. So, uh, we would expect a combination, a lot of goods when we started rolling out and put in production, the old you are three and bug because we are anus. Then when the release feed comes to the market in Q1, next year of ODU have already started going to Audi production inside shell. But as the first release, which is ready for prime time production across an enterprise will be released just before Christmas, last year when he's still in may of this year. But really three is the first release we want to use for full scale production deployment inside shell, and also the operators around the world. And there is one Amazon, sorry, at that one. Um, extensive can play a role in the ongoing, in the, in deployment building up, but also support environment. >>So one of the other things that we talk a lot about here on the cube is sustainability. And this is a big imperative at so many organizations around the world in particular energy companies. How does this move to OSD you, uh, help organizations become, how is this a greener solution for companies? >>Well, first we make it's a greatest solution because you start making a much more efficient use of your resources, which is already an important one. The second thing we're doing is also, we started ODU in framers, in the oil and gas space in the expert development space. We've grown, uh, OTU in our strategy of growth. I was, you know, also do an alternative energy sociology. We'll all start supporting next year. Things like solar farms, wind farms, uh, the, the dermatomal environment hydration. So it becomes an and an open energy data platform, not just what I want to get into sleep. That's what new industry, any type of energy industry. So our focus is to create, bring the data of all those various energy data sources to get me to a single data platform you can to use AI and other technologies on top of that, to exploit the data, to meet again into a single data platform. >>Liz, I want to ask you about security because security is, is, is such a big concern when it comes to data. How secure is the data on OSD? You, um, actually, can I talk, can I do a follow up on this sustainability talking? Oh, absolutely. By all means. I mean, I want to interject though security is absolutely our top priority. I don't mean to move away from that, but with sustainability, in addition to the benefits of the OSU data platform, when a company moves from on-prem to the cloud, they're also able to leverage the benefits of scale. Now, AWS is committed to running our business in the most environmentally friendly way possible. And our scale allows us to achieve higher resource utilization and energy efficiency than a typical data center. >>Now, a recent study by four 51 research found that AWS is infrastructure is 3.6 times more energy efficient than the median of surveyed enterprise data centers. Two thirds of that advantage is due to higher, um, server utilization and a more energy efficient server population. But when you factor in the carbon intensity of consumed electricity and renewable energy purchases for 51 found that AWS performs the same task with an 88% lower carbon footprint. Now that's just another way that AWS and OSU are working to support our customers is they seek to better understand their workflows and make their legacy businesses less carbon intensive. >>That's that's incorrect. Those are those statistics are incredible. Do you want to talk a little bit now about security? Absolutely. And security will always be AWS is top priority. In fact, AWS has been architected to be the most flexible and secure cloud computing environment available today. Our core infrastructure is built to satisfy. There are the security requirements for the military, local banks and other high sensitivity organizations. And in fact, AWS uses the same secure hardware and software to build and operate each of our regions. So that customers benefit from the only commercial cloud that's hat hits service offerings and associated supply chain vetted and deemed secure enough for top secret workloads. That's backed by a deep set of cloud security tools with more than 200 security compliance and governmental service and key features as well as an ecosystem of partners like Accenture, that can really help our customers to make sure that their environments for their data meet and or exceed their security requirements. Johann, I want you to talk a little bit about how OSD you can be used today. Does it only handle subsurface data? >>Uh, today it's Honda's subserves or Wells data, we go to add to that production around the middle of next year. That means that the whole upstate business. So we've got goes from exploration all the way to production. You've made it together into a single data platform. So production will be added around Q3 of next year. Then a principal. We have a difficult, the elder data that single environment, and we want to extend them to other data sources or energy sources like solar farms, wind farms, uh, hydrogen, hydro, et cetera. So we're going to add a whore, a whole list of audit day energy source to them and be all the data together into a single data club. So we move from a falling guest data platform to an aniseed data platform. That's really what our objective is because the whole industry, if you look it over, look at our companies are all moving in. That same two acts of quantity of course, are very strong in oil and gas, but also increased the, got into the other energy sources like, like solar, like wind, like th like highly attended, et cetera. So we would be moving exactly. But that same method that, that, that the whole OSU can't really support at home. And as a spectrum of energy sources, >>Of course, and Liz and Johan. I want you to close us out here by just giving us a look into your crystal balls and talking about the five and 10 year plan for OSD. You we'll start with you, Liz. What do you, what do you see as the future holding for this platform? Um, honestly, the incredibly cool thing about working at AWS is you never know where the innovation and the journey is going to take you. I personally am looking forward to work with our customers, wherever their OSU journeys, take them, whether it's enabling new energy solutions or continuing to expand, to support use cases throughout the energy value chain and beyond, but really looking forward to continuing to partner as we innovate to slay tomorrow's challenges, Johann first, nobody can look at any more nowadays, especially 10 years own objective is really in the next five years, you will become the key backbone for energy companies for storing your data. You are efficient intelligence and optimize the whole supply energy supply chain in this world down here, you'll uncovers Liz Dennett. Thank you so much for coming on the cube virtual I'm Rebecca Knight stay tuned for more of our coverage of the Accenture executive summit >>From around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Welcome everyone to the cubes coverage of the Accenture executive summit. Part of AWS reinvent. I'm your host Rebecca Knight today we're welcoming back to Kubila. We have Kishor Dirk. He is the Accenture senior managing director cloud first global services lead. Welcome back to the show Kishore. Thank you very much. Nice to meet again. And, uh, Tristan moral horse set. He is the managing director, Accenture cloud first North America growth. Welcome back to you to trust and great to be back in grapes here again, Rebecca. Exactly. Even in this virtual format, it is good to see your faces. Um, today we're going to be talking about my nav and green cloud advisor capability. Kishor I want to start with you. So my nav is a platform that is really celebrating its first year in existence. Uh, November, 2019 is when Accenture introduced it. Uh, but it's, it has new relevance in light of this global pandemic that we are all enduring and suffering through. Tell us a little bit about the lineup platform, what it is that cloud platform to help our clients navigate the complexity of cloud and cloud decisions to make it faster. And obviously, you know, we have in the cloud, uh, you know, with >>The increased relevance and all the, especially over the last few months with the impact of COVID crisis and exhibition of digital transformation, you know, we are seeing the transformation or the acceleration to cloud much faster. This platform that you're talking about has enabled and 40 clients globally across different industries. You identify the right cloud solution, navigate the complexity, provide a cloud specific solution simulate for our clients to meet the strategy business needs, and the clients are loving it. >>I want to go to you now trust and tell us a little bit about how mine nav works and how it helps companies make good cloud choice. >>Yeah, so Rebecca, we we've talked about cloud is, is more than just infrastructure and that's what mine app tries to solve for it. It really looks at a variety of variables, including infrastructure operating model and fundamentally what client's business outcomes, um, uh, our clients are, are looking for and, and identifies the optimal solution for what they need. And we assign this to accelerate and we mentioned the pandemic. One of the big focus now is to accelerate. And so we worked through a three-step process. The first is scanning and assessing our client's infrastructure, their data landscape, their application. Second, we use our automated artificial intelligence engine to interact with. We have a wide variety and library of a collective plot expertise. And we look to recommend what is the enterprise architecture and solution. And then third, before we aligned with our clients, we look to simulate and test this scaled up model. And the simulation gives our clients a way to see what cloud is going to look like, feel like and how it's going to transform their business before they go there. >>Tell us a little bit about that in real life. Now as a company, so many of people are working remotely having to collaborate, uh, not in real life. How is that helping them right now? >>So, um, the, the pandemic has put a tremendous strain on systems, uh, because of the demand on those systems. And so we talk about resiliency. We also now need to collaborate across data across people. Um, I think all of us are calling from a variety of different places where our last year we were all at the VA cube itself. Um, and, and cloud technologies such as teams, zoom that we're we're leveraging now has fundamentally accelerated and clients are looking to onboard this for their capabilities. They're trying to accelerate their journey. They realize that now the cloud is what is going to become important for them to differentiate. Once we come out of the pandemic and the ability to collaborate with their employees, their partners, and their clients through these systems is becoming a true business differentiator for our clients. >>Keisha, I want to talk with you now about my navs multiple capabilities, um, and helping clients design and navigate their cloud journeys. Tell us a little bit about the green cloud advisor capability and its significance, particularly as so many companies are thinking more deeply and thoughtfully about sustainability. >>Yes. So since the launch of my lab, we continue to enhance, uh, capabilities for our clients. One of the significant, uh, capabilities that we have enabled is the being taught advisor today. You know, Rebecca, a lot of the businesses are more environmentally aware and are expanding efforts to decrease power consumption, uh, and obviously carbon emissions and, uh, and run a sustainable operations across every aspect of the enterprise. Uh, as a result, you're seeing an increasing trend in adoption of energy, efficient infrastructure in the global market. And one of the things that we did a lot of research we found out is that there's an ability to influence our client's carbon footprint through a better cloud solution. And that's what the internet brings to us, uh, in, in terms of a lot of the client connotation that you're seeing in Europe, North America and others, lot of our clients are accelerating to a green cloud strategy to unlock beta financial, societal and environmental benefit, uh, through obviously cloud-based circular, operational, sustainable products and services. That is something that we are enhancing my now, and we are having active client discussions at this point of time. >>So Tristan, tell us a little bit about how this capability helps clients make greener decisions. >>Yeah. Um, well, let's start about the investments from the cloud providers in renewable and sustainable energy. Um, they have most of the hyperscalers today, um, have been investing significantly on data centers that are run on renewable energy, some incredibly creative constructs on the how to do that. And sustainability is there for a key, um, key item of importance for the hyperscalers and also for our clients who now are looking for sustainable energy. And it turns out this marriage is now possible. I can, we marry the, the green capabilities of the comm providers with a sustainability agenda of our clients. And so what we look into the way the mine EF works is it looks at industry benchmarks and evaluates our current clients, um, capabilities and carpet footprint leveraging their existing data centers. We then look to model from an end-to-end perspective, how the, their journey to the cloud leveraging sustainable and, um, and data centers with renewable energy. We look at how their solution will look like and, and quantify carbon tax credits, um, improve a green index score and provide quantifiable, um, green cloud capabilities and measurable outcomes to our clients, shareholders, stakeholders, clients, and customers. Um, and our green plot advisers sustainability solutions already been implemented at three clients. And in many cases in two cases has helped them reduce the carbon footprint by up to 400% through migration from their existing data center to green cloud. Very, very, >>That is remarkable. Now tell us a little bit about the kinds of clients. Is this, is this more interesting to clients in Europe? Would you say that it's catching on in the United States? Where, what is the breakdown that you're seeing right now? >>Sustainability is becoming such a global agenda and we're seeing our clients, um, uh, tie this and put this at board level, um, uh, agenda and requirements across the globe. Um, Europe has specific constraints around data sovereignty, right, where they need their data in country, but from a green, a sustainability agenda, we see clients across all our markets, North America, Europe, and our growth markets adopt this. And we have seen case studies and all three months. >>Keisha, I want to bring you back into the conversation. Talk a little bit about how MindUP ties into Accenture's cloud first strategy, your Accenture's CEO, Julie Sweet has talked about post COVID leadership requiring every business to become a cloud first business. Tell us a little bit about how this ethos is in Accenture and how you're sort of looking outward with it too. >>So Rebecca mine is the launch pad, uh, to a cloud first transformation for our clients. Uh, Accenture, see your jewelry suite, uh, you know, shared the Accenture cloud first and our substantial investment demonstrate our commitment and is delivering greater value for our clients when they need it the most. And with the digital transformation requiring cloud at scale, you know, we're seeing that in the post COVID leadership, it requires that every business should become a cloud business. And my nap helps them get there by evaluating the cloud landscape, navigating the complexity, modeling architecting and simulating an optimal cloud solution for our clients. And as Justin was sharing a greener cloud. >>So Tristan, talk a little bit more about some of the real life use cases in terms of what are we, what are clients seeing? What are the results that they're having? >>Yes. Thank you, Rebecca. I would say two key things right around my neck. The first is the iterative process. Clients don't want to wait, um, until they get started, they want to get started and see what their journey is going to look like. And the second is fundamental acceleration, dependent make, as we talked about, has accelerated the need to move to cloud very quickly. And my nav is there to do that. So how do we do that? First is generating the business cases. Clients need to know in many cases that they have a business case by business case, we talk about the financial benefits, as well as the business outcomes, the green, green clot impact sustainability impacts with minus. We can build initial recommendations using a basic understanding of their environment and benchmarks in weeks versus months with indicative value savings in the millions of dollars arranges. >>So for example, very recently, we worked with a global oil and gas company, and in only two weeks, we're able to provide an indicative savings for $27 million over five years. This enabled the client to get started, knowing that there is a business case benefit and then iterate on it. And this iteration is, I would say the second point that is particularly important with my nav that we've seen in bank, the clients, which is, um, any journey starts with an understanding of what is the application landscape and what are we trying to do with those, these initial assessments that used to take six to eight weeks are now taking anywhere from two to four weeks. So we're seeing a 40 to 50% reduction in the initial assessment, which gets clients started in their journey. And then finally we've had discussions with all of the hyperscalers to help partner with Accenture and leverage mine after prepared their detailed business case module as they're going to clients. And as they're accelerating the client's journey, so real results, real acceleration. And is there a journey? Do I have a business case and furthermore accelerating the journey once we are by giving the ability to work in iterative approach. >>I mean, it sounds as though that the company that clients and and employees are sort of saying, this is an amazing time savings look at what I can do here in, in so much in a condensed amount of time, but in terms of getting everyone on board, one of the things we talked about last time we met, uh, Tristan was just how much, uh, how one of the obstacles is getting people to sign on and the new technologies and new platforms. Those are often the obstacles and struggles that companies face. Have you found that at all? Or what is sort of the feedback that you're getting from employers? >>Sorry. Yes. We clearly, there are always obstacles to a cloud journey. If there were an obstacles, all our clients would be, uh, already fully in the cloud. What man I gives the ability is to navigate through those, to start quickly. And then as we identify obstacles, we can simulate what things are going to look like. We can continue with certain parts of the journey while we deal with that obstacle. And it's a fundamental accelerator. Whereas in the past one, obstacle would prevent a class from starting. We can now start to address the obstacles one at a time while continuing and accelerating the contrary. That is the fundamental difference. >>Kishor I want to give you the final word here. Tell us a little bit about what is next for Accenture might have and what we'll be discussing next year at the Accenture executive summit >>Sort of echo, we are continuously evolving with our client needs and reinventing, reinventing for the future. For mine, as I've been taught advisor, our plan is to help our clients reduce carbon footprint and again, migrate to a green cloud. Uh, and additionally, we're looking at, you know, two capabilities, uh, which include sovereign cloud advisor, uh, with clients, especially in, in Europe and others are under pressure to meet, uh, stringent data norms that Kristen was talking about. And the sovereign cloud advisor health organization to create an architecture cloud architecture that complies with the green. Uh, I would say the data sovereignty norms that is out there. The other element is around data to cloud. We are seeing massive migration, uh, for, uh, for a lot of the data to cloud. And there's a lot of migration hurdles that come within that. Uh, we have expanded mine app to support assessment capabilities, uh, for, uh, assessing applications, infrastructure, but also covering the entire state, including data and the code level to determine the right cloud solution. So we are, we are pushing the boundaries on what mine app can do with mine. Have you created the ability to take the guesswork out of cloud navigate the complexity? We are roaring risks costs, and we are, you know, achieving client's static business objectives while building a sustainable alerts with being cloud >>Any platform that can take some of the guesswork out of the future. I'm I'm onboard with. Thank you so much, Tristin and Kishore. This has been a great conversation. >>Thank you. >>Stay tuned for more of the cubes coverage of the Accenture executive summit. I'm Rebecca Knight from around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Hey, welcome back to the cubes coverage of 80 us reinvent 2020 virtual centric executive summit. The two great guests here to break down the analysis of the relationship with cloud and essential Brian bowhead director ahead of a century 80. It was 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 fifth anniversary. What's new, obviously the emphasis of next gen post COVID generation, highly 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 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 service 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 see. >>Yeah, Andy, I want to get your thoughts here. We've been reporting and covering essentially 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 in 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 20 w what is it I think today there are, um, full sense of the enterprise workloads, the cloud, um, you know, that leaves 96 percentile now for him. Um, and I, 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 is, 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 really pause and think about everything from, from, you know, how they, um, manage that technology to infrastructure, to just to carotenoids where the 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, their culture, their 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, it forces us, it forces AWS, it 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 an 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 help these, these companies get to the cloud and get the value from the cloud because it's beyond just getting to the cloud attached to them and living in the cloud and, and getting the value from it. >>It's interesting. Andy was saying, don't just put your toe in the water. You 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, I'll start. And at the end you can buy a lawn. So, you know, it's interesting if I look back a year ago at re-invent and when I did the cube interview, then we were talking about how the ABG, we were starting to see this shift of customers. You know, we've been working with customers for years on a single of what I'll call a single-threaded programs, right. We can do a migration, we could 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 then 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 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 one is the people. Um, and, and I, I, again, I think Andy touched on sort of eight, uh, success factors, uh, early in the week. And for me, it's these three areas that it sort of boils down 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 Z 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 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 for the right conditions to be set in the company that enabled, uh, 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 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 enterprise and 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 you have 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 API, 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? W you know, where's the puck going? Where can they skate 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 are they, 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 could probably look at it from a sort of a thematic lens. And what we're seeing is as the cloud transformation journey picks up, um, 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 of play, um, where, uh, you know, it's not just a practical experience that I can sort of keep learning and iterating, um, how I treat my, my customers, um, and a lot of that, um, that still self-learning, that comes from, you know, putting in intelligence into your, into your systems, getting an AI and ML in there. And so, as a result of that work, we're seeing a lot of push and a lot of what we're doing, uh, is pouring investment 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? So I'll probably say those are the three areas. John, >>You know, 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, obviously a century 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 for me and D um, talking to me now about how can partners within even Accenture, w w what's the business model, um, side on your side that you're enabling this. Can you just share your thoughts on that? >>Yeah, yeah. And so it's, it's interesting. I think I'm going to build it and then 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 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 office 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 give out 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 an example of a, kind of like a bottom to top, uh, 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, talent is a big part of the game here. Andy Jassy referenced Lambda. The 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 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 it, but then in 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, to keep it very simple. Um, w we're we're we're seeing increasingly that you need people that 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, 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, uh, and, uh, and not afraid to lead >>Was a gut check there. I just say, 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 an Amazon focused, obviously they're 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 count first, what we're doing is we're, we're putting together, um, uh, you know, capability set that will help enable him to and transformations as Brian touched on, you know, help companies move 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 side. 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 pre-assembled industry offerings to help as an accelerant, uh, for our, for our customers three years, 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 enterprise of snakes out there. And so, you know, panto wild cloud first, and our ABG strategy is to increase our touch points in our integrations and our solutions and our offerings with the ecosystem partners out there, the ISP partners out, then 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 concept of hybrid cloud and that in itself, um, uh, is, is, is, you know, being redefined as well. You know, when you've got the intelligent edge and you've got various forms of the edge. Um, so that's the fourth part of, of, uh, of occupied for strategy. 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 when to enable our customers, but also how we, you know, as we, as we look to extend how we go to market, I'll join tele 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 think, 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 has cloud really permeates everything that we're doing now. Um, and so all aspects of the business will get infused with cloud in some ways, you know, it, it touches on, 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 started 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 the assets to 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 activities up the stack. So I'm excited to see us kind of invest to make those, those, um, those bets 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. 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 as 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, 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 >>Thinks of innovation is, is picking up, um, dismiss 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 wringing, our industry capabilities, we marry the two. We, we go and help our customers super exciting time. >>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, essentially. AWS partnership, part of a century executive summit at Atrius reinvent 2020 I'm John for your host. Thanks. >>You're watching from around the globe. It's the cube with digital coverage of AWS reinvent executive summit 2020, sponsored by Accenture and AWS. >>Hello, and welcome back to the cubes coverage of AWS reinvent 2020. This is special programming for the century executive summit, where all the thought leaders going to extract the signal from the nose to 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 a center. ADA was business group at Amazon web services. Brian, great to see you. And Chris Wegman is the, uh, center, uh, Amazon business group technology lead at Accenture. Um, guys, this is about technology vision, this, this conversation, um, Chris, I want to start with you because you, Andy Jackson's keynote, you heard about the strategy of digital transformation, how you gotta lean into it. You gotta have the guts to go for it, and you got to decompose. He went everywhere. So what, what did you hear? What was striking about the keynote? Because he covered a lot of topics. Yeah. You know, it >>Was Epic, uh, as always for Mandy, a lot of topics, a lot to cover in the three hours. Uh, there was a couple of things that stood out for me, first of all, hybrid, uh, the concept, the new concept of hybrid and how Andy talked about it, you know, uh, bringing the compute and the power to all parts of the enterprise, uh, whether it be at the edge or are in the big public cloud, uh, whether it be in an outpost or wherever it might be right with containerization now, uh, you know, being able to do, uh, Amazon containerization in my data center and that that's, that's awesome. I think that's gonna make a big difference, all that being underneath the Amazon, uh, console and billing and things like that, which is great. Uh, I'll also say the, the chips, right. And I know compute is always something that, you know, we always kind of take for granted, but I think again, this year, uh, Amazon and Andy really focused on what they're doing with the chips and PR and compute, and the compute is still at the heart of everything in cloud. And that continued advancement is, is making an impact and will make a 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 nuanced point when you got Deepak sing on the opening day with Andy Jassy and he's, he runs a container group over there, you know, small little team he's on the front and front stage. That really is the key to the hybrid. And I think this showcases this new layer and taking advantage of the graviton two chips that, 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 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. And it, it, you know, I think like Andy talks about, and we talk about, I, you know, we really want to provide choice to our customers, uh, first and foremost, and you can see that and they re uh, 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 I just get to the customer's 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 will certainly outpost. Um, right. So now I'll post those launched last year, but then with the new form factors, uh, 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, um, 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, those choices that they can really deploy, uh, 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, you know, whether it be in a factory or retail environment. When we start, I think we're really well positioned when, um, you know, hopefully next year we started seeing the travel industry rebound, um, and the, the need, you know, more than ever really to, uh, 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, as we come out of this year and hopefully rebound next year. >>Yeah. Chris, I want to go back to you for a second. It's hard to hard to pick your favorite innovation from the keynote, because, you know, just reminded me that Brian just reminded me of some things I forgot happened. It was like a buffet of innovation. Some keynotes have one or two, it 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. This is boring as hell. What are you gonna do with that? It turns out it's a game changer. It's not about the calls with the contact and that's discern intermediating, um, in the stack as well. So again, a feature that looks old is actually new and relevant. What's your, what was your favorite, um, innovation? >>Uh, it it's, it's, it's hard to say. I will say my personal favorite was the, the maca last. I, I just, I think that is a phenomenal, um, uh, just addition, right? And the fact that AWS is, has worked with Apple to integrate the Nitra chip into, into, uh, you know, the iMac and offer that out. Um, you know, a lot of people are doing development, uh, on for ILS and that stuff. And that there's just gonna be a huge benefit, uh, for the development teams. But, you know, I will say, I'll come back to connect you. You mentioned it. Um, you know, but you're right. It was a, it's a boring area, but it's an area that we've seen huge success with since, since connect was launched and the additional features and the Amazon continues to bring, you know, um, obviously with, with the pandemic and now that, you know, customer engagement through the phone, uh, 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, huge advantage for, for several customers that are using connect. You know, we, we did some great stuff with some different customers, but the continue technology, like you said, the, you know, the call translation and during a call to be able to pop up those key words and have a, have a supervisor, listen is awesome. And a lot of that was some of that was already being done, but we were stitching multiple services together. Now that's right out of the box. Um, 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, you know, not to get all nerdy and, and business school life, 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, you old days of, you know, calling an 800 number, getting some support you got in chip, you have machine learning, you actually have stuff in the, in the stack that actually makes that different now. So you w you know, 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. W what do you guys, what do you guys think about that? And is that like getting it right? Can you share it? >>I think, I think, I think you are right. And I think what's implied there and what you're saying, and even in the, you know, the macro S example is the ability if we're talking about features, right. Which by themselves, you're saying, Oh, wow, what's, what's so unique about that, but because it's on AWS and now, because whether you're a developer working on, you know, w with Mac iOS and you have access to the 175 plus services, that you can then weave into your new applications, 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 in that same machine learning could be applied there to get that full picture across the spectrum. Right? So that's the, that's the power of bringing together on AWS to access to all those different capabilities of services, and then also the where the data is, and pulling all that together, that for that end to end view, okay, >>You guys give some examples of work you've done together. I know this stuff we've reported on. Um, in the last session we talked about some of the connect stuff, but that kind of encapsulates where this, where this is all going with respect to the tech. >>Yeah. I think one of the, you know, it was called out on Doug's partner summit was, you know, is there a, uh, an SAP data Lake accelerator, right? Almost every enterprise has SAP, right. And SAP getting data out of SAP has always been a challenge, right. Um, whether it be through, you know, data warehouses and AWS, sorry, SAP BW, you know, what we've focused on is, is getting that data when you're on have SAP on AWS getting that data into the data Lake, right. And getting it into, into a model that you can pull the value out of the customers can pull the value out, use those AI models. Um, so that was one thing we worked on in the last 12 months, super excited about seeing great success with customers. Um, you know, a lot of customers had ideas. They want to do this. They had different models. What we've done is, is made it very, uh, simplified, uh, framework that allows customers to do it very quickly, get the data out there and start getting value out of it and iterating on that data. Um, we saw customers are spending way too much time trying to stitch it all together and trying to get it to work technically. Uh, and we've now cut all that out and they can immediately start getting down to, to the data and taking advantage of those, those different, um, services are out there by AWS. >>Brian, you want to weigh in as things you see as relevant, um, builds that you guys done together that kind of tease out the future and connect the dots to what's coming. >>Uh, I, you know, I'm going to use a customer example. Uh, we worked with, um, and it just came out with, 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. Um, and, but, you know, 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, uh, we enabled this capability. So now it's a smart air purifier that can be remote manage. And now in the pandemic head, they are in a really good position, obviously with a very relevant product and capability, um, 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, you know, filter changes, et cetera, can find its way back into future iterations of that valve, that product. And I think that's, that's keeping with, you know, uh, Chris was 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, um, session, Andy Taylor from your team, uh, 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, um, Doug's, um, keynote and that 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 has that, 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. You know, one there's from a commercial standpoint, right? So marketplace, you know, you, you heard Dave talk about that in the, in the partner summit, right? That marketplace is now bringing together this ecosystem, uh, in a very easy way to consume by the customers, uh, 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, uh, already. Um, you know, I think one from a technical perspective though, you know, if you look at Salesforce, you know, we talked a little earlier about connect another good example, technically underneath the covers, how we've integrated connect and Salesforce, some of it being prebuilt by AWS and Salesforce, other things that we've added on top of it, um, I think are good examples. And I think as these ecosystems, these IFCs put their products out there and start exposing more and more API APIs, uh, on the Amazon platform, make opening it up, having those, those prebuilt network connections there between, you know, the different VPCs and the different areas within, within a customer's network. >>Um, and having them, having that all opened up and connected and having all that networking done underneath the covers. You know, it's one thing to call the API APIs. It's one thing to have access to those. And that's been a big focus of a lot of, you know, ISBNs and customers to build those API APIs and expose them, but having that network infrastructure and being able to stay within the cloud within AWS to make those connections, the past that data, we always talk about scale, right? It's one thing if I just need to pass like a, you know, a simple user ID back and forth, right? That's, that's fine. We're not talking massive data sets, whether it be seismic data or whatever it be passing those of those large, those large data sets between customers across the Amazon network is going to, 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. You know, one of the things I want to, um, dig into with you guys now is Andy had kind of this philosophy philosophical thing in his keynote, talk about societal change and how tough the pandemic is. Everything's on full display. Um, and this kind of brings out kind of like where we are and the truth. You look at the truth, it's a virtual event. I mean, it's a website and you got some sessions out there with doing remote best weekend. Um, and you've got software and you've got technology and, you know, the concept of a mechanism it's software, it does something, it does a purpose. Essentially. You guys have a concept called living systems where growth strategy powered by technology. How do you take the concept of a, of a living organism or a system and replace the mechanism, staleness of computing and software. And this is kind of an interesting, because we're on the cusp of a, 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, so I, you know, I'll start, but, you know, I think the living system concept, um, you know, it started out very much thinking about how do you rapidly change the system, right? And, and because of cloud, because of, of dev ops, because of, you know, all these software technologies and processes that we've created, you know, that's where it started it, making it much easier to make it a much faster being able to change rapidly, but you're right. I think as you now bring in more technologies, the AI technology self-healing technologies, again, you're hurting Indian in his keynote, talk about, you know, the, the systems and services they're building to the tech problems and, and, and, and give, uh, resolve those problems. Right. Obviously automation is a big part of that living systems, you know, being able to bring that all together and to be able to react in real time to either what a customer, you know, asks, um, you know, either through the AI models that have been generated and turning those AI models around much faster, um, and being able to get all the information that came came in in the last 20 minutes, right. >>You know, society's moving fast and changing fast. And, you know, even in one part of the world, if, um, something, you know, 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 with COVID and, you know, things changing very quickly with quickly and, and, and, um, diagnosis and, and, um, medical response, all that so quickly to be able to react to that and have systems pass that information learned 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 scalable this year. I think, you know, we've, we've talked on the cube before, uh, years ago, certainly with the censure 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's horizontally scalable, and then you got the specialization in the app changes that changes the whole vertical thing. Like you don't need to have a whole vertical solution or do you, so how has this year's um, cloud news impacted vertical industries because it used to be, Oh, the oil and gas financial services. They've got a team for that. We've got a stack for that. Not anymore. Is it going away? What's changing. Wow. >>I, you know, I think it's a really good question. And I don't think, I think what we're saying, and I was just on a call this morning talking about banking and capital markets. And I do think the, you know, the, the challenges are still pretty sector specific. Um, but what we do see is the, the kind of commonality, when we start looking at the, and we talked about it as 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, uh, provide insights and an actions. Right. So if you think about creating that yeah. That kind of common chassis of that ingest the data Lake and then the machine learning, can you talk about, you know, the announces around SageMaker and being able to manage these models, what changes then really are the very specific industries algorithms that you're, you're, you're writing right within that framework. And so we're doing a lot in connect is a good example of this too, where you look at it. Yeah. Customer service is a horizontal capability that we're building out, but then when you stop 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, those industries. And that's usually around those, those models. >>Yeah. And I think this year was the first reinvented. I saw real products coming out that actually solve that problem. And that was their last year SageMaker was kinda 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, Christmas is kind of where it's going. Right. I mean, >>Yeah. Announcements. Right. How many, how many announcements where machine learning is just embedded in? I mean, so, you know, code guru, uh, dev ops guru Panorama, we talked about, it's just, it's just there. >>Yeah. I mean, having that knowledge about the linguistics and the metadata, knowing the, the business logic, those are important specific use cases for the vertical and you can get to it faster. Right. Chris, how is this changing on the tech side, your perspective? Yeah. >>You know, I keep coming back to, you know, AWS and cloud makes it easier, right? None of this stuff, you know, all of this stuff can be done, uh, and has some of it has been, but you know, what Amazon continues to do is make it easier to consume by the developer, by the, by the customer and to actually embedded into applications much easier than it would be if I had to go set up the stack and build it all on that and, and, and, uh, embed it. Right. So it's, shortcutting that process. And again, as these products continue to mature, right. And some of the stuff is embedded, um, it makes that process so much faster. Uh, it makes it reduces the amount of work required by the developers, uh, the engineers to get there. So I 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 AIML, um, 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 was talking about, Amazon's built for builders, right. But, you know, builders, you know, um, have been super specialized in, or we're becoming, you know, as engineers, we're being asked to be bigger and bigger and to be, you know, uh, be able to do more stuff. And I think, you know, these kinds of integrated services are gonna help us do that >>And certainly needed more. Now, when you have hybrid edge that are 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, there's going to be, I think there's going to be a whole clarity around benefits in the cloud with all these capabilities and benefits cloud guru. Thanks my favorite this year, because it just points to why that could happen. I mean, that happens because of the cloud data. If you're on premise, you may not have a little cloud guru, you got to got to get more data. So, but they're all different edge certainly will come into your vision on the edge. Chris, how do 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 gotta design for, you know, all the different, uh, edge 5g, uh, protocols are out there and, and, and solutions. Right. You know, Amazon's simplifying that again, to come back to simplification. Right. I can, I can build an app that, 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 side. And I was kind of choking. I don't even know where to call the cloud anymore, big cloud, which is a central and I go down and then I've got a cloud at the edge. Right. So what do I call that? >>Exactly. So, you know, again, I think it 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, you know, for personal use or consumer use, um, you know, that processing is gonna get more and more intense, uh, to be able to manage and under a single console, under a single platform and be able to move the code that I develop across that entire platform, whether I have to go all the way down to the, you know, to the very edge, uh, at the, at the 5g level, right? Or all the way into the bigger cloud and how that process, isn't there be able to do that. Seamlessly is going to be allow the speed of development that's needed. >>Well, 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 storm, a lot of problems to solve a lot of things, a lot of change happening, positive change opportunities, a lot of great stuff. Uh, final question guys, five years working together now on this partnership with AWS and Accenture, um, congratulations, you guys are in pole position for the next wave coming. Um, what's exciting. You guys, Chris, what's on your mind, Brian. What's, what's getting you guys pumped up >>Again. I come back to G you know, Andy mentioned it in his keynote, right? We're seeing customers move now, right. We're seeing, you know, five years ago we knew customers were going to get a new, this. We built a partnership to enable these enterprise customers to make that, that journey. Right. But now, you know, even more, we're seeing them move at such great speed. Right. Which is super excites me. Right. Because I can see, you know, being in this for a long time, now I can see the value on the other end. And I really, we've been wanting to push our customers as fast as they can through the journey. And now they're moving out of, they're getting, 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 is just the excites me. >>It's just the speed at which we're, we're in a single movement. Yeah, yeah. I'd agree with, yeah, I'd agree with that. I mean, so, you know, obviously getting, getting customers to the cloud is super important work, and we're obviously doing that and helping accelerate that, it's it, 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 some-odd AWS services. And I also think, and this is, 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, then 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 is I feel like we're just scratching the surface there, >>Great time to be building out. And you know, this is the time for re reconstruction. Re-invention big themes. So many storylines in the keynote, in the events. It's going to keep us busy here. It's looking at angle in the cube for the next year. Gentlemen, thank you for coming out. I really appreciate it. Thanks. Thank you. All right. Great conversation. You're getting technical. We could've go on another 30 minutes. Lot to talk about a lot of storylines here at AWS. Reinvent 2020 at the Centure executive summit. I'm John furrier. Thanks for watching.