(upbeat music) >> Today more than ever before, organizations are striving to gain a competitive advantage, deliver more value to customers, reduce risk, and respond more quickly to the needs of businesses. Now, to achieve these goals, organizations need easy access to a single view of accurate, consistent and very importantly, trusted data. If it's not trusted, nobody's going to use it and all in near real time. However, the growing volumes and complexities of data make this difficult to achieve in practice. Not to mention the organizational challenges that have evolved as data becomes increasingly important to winning in the marketplace. Specifically as data grows, so does the prevalence of data silos, making, integrating and leveraging data from internal and external sources a real challenge. Now, in this final segment, we'll hear from Joe Lichtenberg who's the global head of product and industry marketing, and he's going to discuss how smart data fabrics can be applied to different industries. And by way of these use cases, we'll probe Joe's vast knowledge base and ask him to highlight how InterSystems, which touts a next gen approach to Customer 360, how the company leverages a smart data fabric to provide organizations of varying sizes and sectors in financial services, supply chain, logistics and healthcare with a better, faster and easier way to deliver value to the business. Joe welcome, great to have you here. >> Thank you, it's great to be here. That was some intro. I could not have said it better myself, so thank you for that. >> Thank you. Well, we're happy to have you on this show now. I understand- >> It's great to be here. >> You you've made a career helping large businesses with technology solutions, small businesses, and then scale those solutions to meet whatever needs they had. And of course, you're a vocal advocate as is your company of data fabrics. We talked to Scott earlier about data fabrics, how it relates to data mesh big discussions in the industry. So tell us more about your perspective. >> Sure, so first I would say that I have been in this industry for a very long time so I've been like you, I'm sure, for decades working with customers and with technology, really to solve these same kinds of challenges. So for decades, companies have been working with lots and lots of data and trying to get business value to solve all sorts of different challenges. And I will tell you that I've seen many different approaches and different technologies over the years. So, early on, point to point connections with custom coding, and I've worked with integration platforms 20 years ago with the advent of web services and service-oriented architectures and exposing endpoints with wisdom and getting access to disparate data from across the organization. And more recently, obviously with data warehouses and data lakes and now moving workloads to the cloud with cloud-based data marts and data warehouses. Lots of approaches that I've seen over the years but yet still challenges remain in terms of getting access to a single trusted real-time view of data. And so, recently, we ran a survey of more than 500 different business users across different industries and 86% told us that they still lack confidence in using their data to make decisions. That's a huge number, right? And if you think about all of the work and all of the technology and approaches over the years, that is a surprising number and drilling into why that is, there were three main reasons. One is latency. So the amount of time that it takes to access the data and process the data and make it fit for purpose by the time the business has access to the data and the information that they need, the opportunity has passed. >> Elapsed time, not speed a light, right? But that too maybe. >> But it takes a long time if you think about these processes and you have to take the data and copy it and run ETL processes and prepare it. So that's one, one is just the amount of data that's disparate in data silos. So still struggling with data that is dispersed across different systems in different formats. And the third, is data democratization. So the business really wants to have access to the data so that they can drill into the data and ask ad hoc questions and the next question and drill into the information and see where it leads them rather than having sort of pre-structured data and pre-structured queries and having to go back to IT and put the request back on the queue again and waiting. >> So it takes too long, the data's too hard to get to 'cause it's in silos and the data lacks context because it's technical people that are serving up the data to the business people. >> Exactly. >> And there's a mismatch. >> Exactly right. So they call that data democratization or giving the business access to the data and the tools that they need to get the answers that they need in the moment. >> So the skeptic in me, 'cause you're right I have seen this story before and the problems seem like they keep coming up, year after year, decade after decade. But I'm an optimist and so. >> As am I. >> And so I sometimes say, okay, same wine new bottle, but it feels like it's different this time around with data fabrics. You guys talk about smart data fabrics from your perspective, what's different? >> Yeah, it's very exciting and it's a fundamentally different approach. So if you think about all of these prior approaches, and by the way, all of these prior approaches have added value, right? It's not like they were bad, but there's still limitations and the business still isn't getting access to all the data that they need in the moment, right? So data warehouses are terrific if you know the questions that you want answered and you take the data and you structure the data in advance. And so now you're serving the business with sort of pre-planned answers to pre-planned queries, right? The data fabric, what we call a smart data fabric is fundamentally different. It's a fundamentally different approach in that rather than sort of in batch mode, taking the data and making it fit for purpose with all the complexity and delays associated with it, with a data fabric where accessing the data on demand as it's needed, as it's requested, either by the business or by applications or by the data scientists directly from the source systems. >> So you're not copying it necessarily to that to make that you're not FTPing it, for instance. I've got it, you take it, you're basically using the same source. >> You're pulling the data on demand as it's being requested by the consumers. And then all of the data management processes that need to be applied for integration and transformation to get the data into a consistent format and business rules and analytic queries. And with Jess showed with machine learning, predictive prescriptive analytics all sorts of powerful capabilities are built into the fabric so that as you're pulling the data on demand, right, all of these processes are being applied and the net result is you're addressing these limitations around latency and silos that we've seen in the past. >> Okay, so you've talked about you have a lot of customers, InterSystems does in different industries supply chain, financial services, manufacturing. We heard from just healthcare. What are you seeing in terms of applications of smart data fabrics in the real world? >> Yeah, so we see it in every industry. So InterSystems, as you know, has been around now for 43 years, and we have tens of thousands of customers in every industry. And this architectural pattern now is providing value for really critical use cases in every industry. So I'm happy to talk to you about some that we're seeing. I could actually spend like three hours here and there but I'm very passionate about working with customers and there's all sorts of exciting. >> What are some of your favorites? >> So, obviously supply chain right now is going through a very challenging time. So the combination of what's happening with the pandemic and disruptions and now I understand eggs are difficult to come by I just heard on NPR. >> Yeah and it's in part a data problem and a big part of data problem, is that fair? >> Yeah and so, in supply chain, first there's supply chain visibility. So organizations want a real time or near real time expansive view of what's happening across the entire supply chain from a supply all the way through distribution, right? So that's only part of the issue but that's a huge sort of real-time data silos problem. So if you think about your extended supply chain, it's complicated enough with all the systems and silos inside your firewall, before all of your suppliers even just thinking about your tier one suppliers let alone tier two and tier three. And then building on top of real-time visibility is what the industry calls a control tower, what we call the ultimate control tower. And so it's built in analytics to be able to sense disruptions and exceptions as they occur and predict the likelihood of these disruptions occurring. And then having data driven and analytics driven guidance in terms of the best way to deal with these disruptions. So for example, an order is missing line items or a cargo ship is stuck off port somewhere. What do you do about it? Do you reroute a different cargo ship, right? Do you take an order that's en route to a different client and reroute that? What's the cost associated? What's the impact associated with it? So that's a huge issue right now around control towers for supply chain. So that's one. >> Can I ask you a question about that? Because you and I have both seen a lot but we've never seen, at least I haven't the economy completely shut down like it was in March of 2020, and now we're seeing this sort of slingshot effect almost like you're driving on the highway sometimes you don't know why, but all of a sudden you slow down and then you speed up, you think it's okay then you slow down again. Do you feel like you guys can help get a handle on that product because it goes on both sides. Sometimes you can't get the product, sometimes there's too much of a product as well and that's not good for business. >> Yeah, absolutely. You want to smooth out the peaks and valleys. >> Yeah. >> And that's a big business goal, business challenge for supply chain executives, right? So you want to make sure that you can respond to demand but you don't want to overstock because there's cost associated with that as well. So how do you optimize the supply chains and it's very much a data silo and a real time challenge. So it's a perfect fit for this new architectural pattern. >> All right, what else? >> So if we look at financial services, we have many, many customers in financial services and that's another industry where they have many different sources of data that all have information that organizations can use to really move the needle if they could just get to that single source of truth in real time. So we sort of bucket many different implementations and use cases that we do around what we call Business 360 and Customer 360. So Business 360, there's all sorts of ways to add business value in terms of having a real-time operational view across all of the different GOs and parts of the business, especially in these very large global financial services institutions like capital markets and investment firms and so forth. So around Business 360, having a realtime view of risk, operational performance regulatory compliance, things like that. Customer 360, there's a whole set of use cases around Customer 360 around hyper-personalization of customers and in realtime next best action looking to see how you can sell more increase share of wallet, cross-sell, upsell to customers. We also do a lot in terms of predicting customer churn. So if you have all the historical data and what's the likelihood of customers churning to be able to proactively intercede, right? It's much more cost effective to keep assets under management and keep clients rather than going and getting new clients to come to the firm. A very interesting use case from one of our customers in Latin America, so Banco do Brasil largest bank in all of Latin America and they have a very innovative CTO who's always looking for new ways to move the needle for the bank. And so one of their ideas and we're working with them to do this is how can they generate net new revenue streams by bringing in new business to the bank? And so they identified a large percentage of the population in Latin America that does no banking. So they have no banking history not only with Banco do Brasil, but with any bank. So there's a fair amount of risk associated with offering services to this segment of the population that's not associated with any banks or financial institutions. >> There is no historical data on them, there's no. >> So it's a data challenge. And so, they're bringing in data from a variety of different sources, social media, open source data that they find online and so forth. And with us running risk models to identify which are the citizens that there's acceptable risk to offer their services. >> It's going to be huge market of unbanked people in vision Latin America. >> Wow, that's interesting. >> Yeah, yeah, totally vision. >> And if you can lower the risk and you could tap that market and be first >> And they are, yeah. >> Yeah. >> So very exciting. Manufacturing, we know industry 4.0 which is about taking the OT data, so the data from the MES systems and the streaming data, real-time streaming data from the machine controllers and integrating it with the IT data, so your data warehouses and your ERP systems and so forth to have not only a real-time view of manufacturing from supply and source all the way through demand but also predictive maintenance and things like that. So that's very big right now in manufacturing. >> Kind of cool to hear these use cases beyond your healthcare, which is obviously, your wheelhouse, Scott defined this term of smart data fabrics, different than data fabrics, I guess. So when we think about these use cases what's the value add of so-called smart data fabrics? >> Yeah, it's a great question. So we did not define the term data fabric or enterprise data fabric. The analysts now are all over it. They're all saying it's the future of data management. It's a fundamentally different approach this architectural approach to be able to access the data on demand. The canonical definition of a data fabric is to access the data where it lies and apply a set of data management processes, but it does not include analytics, interestingly. And so we firmly believe that most of these use cases gain value from having analytics built directly into the fabric. So whether that's business rules or predictive analytics to predict the likelihood of a customer churn or a machine on the shop floor failing or prescriptive analytics. So if there's a problem in the supply chain, what's the guidance for the supply chain managers to take the best action, right? Prescriptive analytics based on data. So rather than taking the data and the data fabric and moving it to another environment to run those analytics where you have complexity and latency, having tall of those analytics capabilities built directly into the fabric, which is why we call it a smart data fabric, brings a lot of value to our customers. >> So simplifies the whole data lifecycle, data pipelining, the hyper-specialized roles that you have to have, you can really just focus on one platform, is that? >> Exactly, basically, yeah. And it's a simplicity of architecture and faster speed to production. So a big differentiator for our technology, for InterSystems, Iris, is most if not all of the capabilities that are needed are built into one engine, right? So you don't need to stitch together 10 or 15 or 20 different data management services for relational database in a non-relational database and a caching layer and a data warehouse and security and so forth. And so you can do that. There's many ways to build this data fabric architecture, right? InterSystems is not the only way. >> Right? >> But if you can speed and simplify the implementation of the fabric by having most of what you need in one engine, one product that gets you to where you need to go much, much faster. >> Joe, how can people learn more about smart data Fabric some of the use cases that you've presented here? >> Yeah, come to our website, intersystems.com. If you go to intersystems.com/smartdatafabric that'll take you there. >> I know that you have like probably dozens more examples but it would be cool- >> I do. >> If people reach out to you, how can they get in touch? >> Oh, I would love that. So feel free to reach out to me on LinkedIn. It's Joe Lichtenberg I think it's linkedin.com/joeLichtenberg and I'd love to connect. >> Awesome. Joe, thanks so much for your time. Really appreciate it. >> It was great to be here. Thank you, Dave. >> All right, I hope you've enjoyed our program today. You know, we heard Scott now he helped us understand this notion of data fabrics and smart data fabrics and how they can address the data challenges faced by the vast majority of organizations today. Jess Jody's demo was awesome. It was really a highlight of the program where she showed the smart data fabrics inaction and Joe Lichtenberg, we just heard from him dug in to some of the prominent use cases and proof points. We hope this content was educational and inspires you to action. Now, don't forget all these videos are available on Demand to watch, rewatch and share. Go to theCUBE.net, check out siliconangle.com for all the news and analysis and we'll summarize the highlights of this program and go to intersystems.com because there are a ton of resources there. In particular, there's a knowledge hub where you'll find some excellent educational content and online learning courses. There's a resource library with analyst reports, technical documentation videos, some great freebies. So check it out. This is Dave Vellante. On behalf of theCUBE and our supporter, InterSystems, thanks for watching and we'll see you next time. (upbeat music)

>>Welcome to the customer. Obsession begins with data session. Uh, thank you for, for attending. Um, at Cloudera, we believe that a custom session begins with, uh, with, with data. Um, and, uh, you know, financial services is Cloudera is largest industry vertical. We have approximately 425 global financial services customers, uh, which consists of 82 out of a hundred of the largest global banks of which we have 27 that are globally systemic banks, uh, four out of the five, uh, top stock exchanges, eight out of the 10 top wealth management firms and all four of the top credit card networks. Uh, so as you can see most financial services institutions utilize Cloudera for data analytics and machine learning. Uh, we also have over 20 central banks and it doesn't or so financial regulators. So it's an incredible footprint, which glimpse Cloudera, lots of insight into the many innovations that our customers are coming in up >>With >>Customers have grown more independent and demanding. Uh, they want the ability to perform many functions on their own and, uh, be able to do it. Uh, he do them on their mobile devices, uh, in a recent Accenture study, more than 50% of customers, uh, are focused on, uh, improving their customer experience through more personalized, uh, offers in advice. The study found that 75% of people are actually willing to share their data for better personalized offers and more efficient and intuitive of services >>Together. And >>A better understanding of your customers use all the data available to develop a complete view of your customer and, uh, and better serve them. Uh, this also breaks down, uh, costly silos, uh, shares data in, in accordance with privacy laws and assists with regulatory adherence. So different and organizations are going to be at different points in their data analytics and AI journey. Uh, there are several degrees of streaming and batch data, both structured and unstructured. Uh, you need a platform that can handle both, uh, with common, with a common governance layer, um, near real time and real real-time sources help make data more relevant. So if you look at this graphic, looking at it from left to right, uh, normal streaming and batch data comes from core banking and, uh, and lending operations data in pretty much a structured format as financial institutions start to evolve. >>Uh, they start to ingest near real-time streaming that comes not only from customers, but also from, from newsfeeds for example, and they start to capture more behavioral data that they can use to evolve their models, uh, and customer experience. Uh, ultimately they start to ingest more real-time streaming data, not only, um, standard, uh, sources like market and transaction data, but also alternative sources such as social media and connected sources, such as wearable devices, uh, giving them more, more data, better data, uh, to extract intelligence and drive personalized actions based on data in real time at the right time, um, and use machine learning and AI, uh, to drive anomaly detection and protect and predict, uh, present potential outcomes. >>So this >>Is another way to look at it. Um, this slide shows the progression of the big data journey as it relates to a customer experience example, um, the dark blue represents, um, visibility or understanding your customer. So we have a data warehouse and are starting to develop some analytics, uh, to know your customer and start to provide a better customer 360 experience. Uh, the medium blue area, uh, is, uh, customer centric or where we learn, uh, the customer's behavior. Uh, at this point we're improving our analytics, uh, gathering more customer centric information to perform, uh, some more exploratory, uh, data sciences. And we can start to do things like cross sell or upsell based on the customer's behavior, which should improve, uh, customer retention. The light blue area is, uh, is proactive customer inter interactions or where we now have the ability, uh, to predict customers needs and wants and improve our interaction with the customer, uh, using applied machine learning and, and AI, uh, clap the Cloudera data platform. >>Um, you know, business use cases require enabling, uh, the end-to-end journey, which we referred to as the data life cycle, uh, what the data life cycle, what is the data life cycle that our customers want to take their data through to enable the end-to-end data journey. If you ask our customers, they want different types of analytics, uh, for their diverse user bases to, to help them implement their, their, their use cases while managed by a centralized security and governance later layer. Uh, in other words, um, the data life cycle to them provides multifunction analytics, uh, at each stage within the data journey, uh, that, uh, integrated and centralized, uh, security, uh, and governance, for example, uh, enterprise data consists of real-time and transactional type type data. Examples include, uh, clickstream data, web logs, um, machine generated, data chatbots, um, call center interactions, uh, transactions, uh, within legacy applications, market data, et cetera. >>We need to manage, uh, that data life cycle, uh, to provide real enterprise data insights, uh, for use cases around enhance them personalized customer experience, um, customer journey analytics, next best action, uh, sentiment and churn analytics market, uh, campaign optimization, uh, mortgage, uh, processing optimization and so on. Um, we bring a diverse set of data then, um, and then enrich it with other data about our customers and products, uh, provide reports and dashboards such as customer 360 and use predictions from machine learning models to provide, uh, business decisions and, and offers of, uh, different products and services to customers and maintain customer satisfaction, um, by using, um, sentiment and turn analytics. These examples show that, um, the whole data life cycle is involved, um, and, uh, is in continuous fashion in order to meet these types of use cases, uh, using a single cohesive platform that can be, uh, that can be served by CDP, uh, the data, the Cloudera data platform. >>Okay. Let's, uh, let's talk about, uh, some of the experiences, uh, from our customers. Uh, first we'll talk about Bunco, something there. Um, Banco Santander is a major global bank headquartered in Spain, uh, with, uh, major operations and subsidiaries all over Europe and north and, and south America. Uh, one of its subsidiary, something there UK wanted to revolutionize the customer experience with the use of real-time data and, uh, in app analytics, uh, for mobile users, however, like many financial institutions send them there had a, he had a, had a large number of legacy data warehouses spread across many business use, and it's within consistent data and different ways of calculating the same metrics, uh, leading to different results. As a result, the company couldn't get the comprehensive customer insights it needed. And, uh, and business staff often worked on multiple versions of the truth. Sometimes there worked with Cloudera to improve a single data platform that could support all its workloads, including self-service analytics, uh, operational analytics and data science processes in processing 10 million transactions, daily or 30,000 transactions per second at peak times. >>And, uh, bringing together really, uh, nearly two to two petabytes of data. The platform provides unprecedented, uh, customer insight and business value across the organization, uh, over 80 cents. And Dera has realized impressive, uh, benefits spanning, uh, new revenues, cost savings and risk reductions, including creating analytics for, for corporate customers with near real-time shopping behavior, um, and, and helping identify 7,000 new corporate, uh, customer prospects, uh, reducing capital expenditures by, uh, 3.2 million annually and decreasing operating expenses by, uh, 650,000, um, enabling marketing to realize, uh, 2.4 million in annual savings on, on cash back on commercial transactions, um, and protecting 3.7 million customers from financial crime impacts through 95, new proactive control alerts, improving risk and capital calculations to reduce the amount of money. It must set aside, uh, as part of a, as part of risk mandates. Uh, for example, in one instance, the risk team was able to release a $5.2 million that it had withheld for non-performing credit card loans by properly identifying healthy accounts miscategorized as high risk next, uh, let's uh, talk about, uh, Rabo bank. >>Um, Rabobank is one of the largest banks in the Netherlands, uh, with approximately 8.3 million customers. Uh, it was founded by farmers in the late 19th century and specializes in agricultural financing and sustainability oriented banking, uh, in order to help its customers become more self-sufficient and, uh, improve their financial situations such as debt settlement, uh, rebel bank needed to access, uh, to a varied mix of high quality, accurate, and timely customer data, the talent, uh, to provide this insight, however, was the ability to execute sophisticated and timely data analytics at scale Rabobank was also faced with the challenge of, uh, shortening time to market. Uh, it needed easier access to customer data sets to ensure that they were using and receiving the right financial support at the right time with, with, uh, data quality and speed of processing. Um, highlighted as two vital areas of improvement. Robert bank was looking to incorporate, um, or create new data in an environment that would not only allow the organization to create a centralized repository of high quality data, but also allow them to stream and, uh, conduct data analytics on the fly, uh, to create actionable insights and deliver a strong customer service experience. >>Rabobank >>Leverage Cloudera due to its ability to cope with heavy pressures on data processing and its capability of ingesting large quantities of real-time streaming data. They were able to quickly create a new data lake that allowed for faster queries of both historical and real-time data to analyze customer loan repayment patterns, uh, to up to the minute transaction records, um, Robert bank and, and its customers could now immediately access, uh, the valuable data needed to help them understand, um, the status of their financial situation, this enabled, uh, rebel bank to spot financial disasters before they happened, enabling them to gain deep and timely insights into which customers were at risk of defaulting on loans. Um, having established the foundation of a modern data architecture Rabobank is now able to run sophisticated machine learning algorithms and, uh, financial models, uh, to help customers manage, um, financial, uh, obligations, um, including, uh, loan repayments, and are able to generate accurate, uh, current liquidity overviews, uh, no next, uh, let's, uh, speak about, um, uh, OVO. >>Uh, so OVO is the leading digital payment rewards and financial services platform in Indonesia, and is present in 115 million devices across the company across the country. Excuse me. Um, as the volume of, of products, uh, within Obos ecosystem increases, the ability to ensure marketing effectiveness is critical to avoid unnecessary waste of time and resources, unlike competitors, uh, banks, w which use traditional mass marketing, uh, to reach customers over, oh, decided to embark on a, on a bold new approach to connect with customers via a ultra personalized marketing, uh, using the stack, the team at OVO were able to implement a change point detection algorithm, uh, to discover customer life stage changes. This allowed OVO, uh, to, uh, build a segmentation model of one, uh, the contextual offer engine Bill's recommendation algorithms on top of the product, uh, including collaborative and context-based filters, uh, to detect changes in consumer consumption >>Patterns. >>As a result, OVO has achieved a 15% increase in revenue, thanks to this, to this project, um, significant time savings through automation and eliminating the chance of human error and have reduced engineers workloads by, by 30%. Uh, next let's talk about, uh, bank Bri, uh, bank Bri is one of the largest and oldest, uh, banks in Indonesia, um, engaging in, in general banking services, uh, for its customers. Uh, they are headquartered in, in Jakarta Indonesia, uh, BR is a well-known, uh, for its, uh, focused on financing initiative initiatives and serves over 75 million customers through its more than 11,000 offices and rural outposts, >>Um, Bri >>Needed to gain better understanding of their customers and market, uh, to improve the efficiency of its operations, uh, reduce losses from non-performing loans and address the rising concern around data security from regulators and consumers, uh, through enhanced fraud detection. This would require the ability to analyze vast amounts of, uh, historical financial data and use those insights, uh, to enhance operations and, uh, deliver better service. Um, Bri used Cloudera's enterprise data platform to build an agile and reliable, uh, predictive augmented intelligence solution. Uh, Bri was now able to analyze 124 years worth of historical financial data and use those insights to enhance its operations and deliver better services. Um, they were able to, uh, enhance their credit scoring system, um, the solution analyzes customer transaction data, and predicts the probability of a customer defaulting on, on payments. Um, the following month, it also alerts Bri's loan officers, um, to at-risk customers, prompting them to take the necessary action to reduce the likelihood of a Vanette profit lost. Uh, this resulted in improved credits in, in improved, uh, credit scoring system, uh, that cut down the approval of micro financing loans, uh, from two weeks to two days to two minutes and, uh, enhanced, uh, fraud detector. >>All right. Uh, this example shows a tabular representation, uh, the evolution of a customer retention use case, um, the evolution of data and analytics, uh, journey that, uh, that for that use case, uh, from aware, uh, text flirtation, uh, to optimization, to being transformative, uh, with every level, uh, data sources increase. And, uh, for the most part, uh, are, are less, less standard, more dynamic and less structured, but always adding more value, more insights into the customer, uh, allowing us to continuously improve our analytics, increase the velocity of the data we ingest, uh, from, from batch, uh, to, uh, near real time, uh, to real-time streaming, uh, the volume of data we ingest continually increases and we progress, uh, the value of the data on our customers, uh, is continuously improving, allowing us to interact more proactively and more efficiently. And, and with that, um, I would, uh, you know, ask you to consider an assess if you are using all the, uh, the data available to understand, uh, and service your customers, and to learn more about, about this, um, you know, visit cloudera.com and schedule a meeting with Cloudera to learn more. And with that, thank you for your time. And thank you for listening.

>> Narrator: From around the globe, it's the CUBE with digital coverage of IBM Think 2021, brought to you by IBM. >> Welcome back to IBM Think 2021. My name is Dave Vellante. And I'm pleased to welcome onto the CUBE, our next guest, Michael Perera, who is the general manager for IBM Technology Support Services. Hello Michael, good to see you. >> Hi Dave, how are you? Thanks for having me. >> Yeah, my pleasure. Look, everybody wants to talk about transformation. And we're going to talk about how to do that while at the same time running your business. So Michael, talk about some of the challenges that businesses are facing today, they got to keep the lights on, they got to deal with remote workers, they got to continue to bring new products and services, they're dealing with cloud migration, they got new security that has to worry about endpoint and identifying their own workers in a different way. Budget serves are depressed are numbers, you know, our numbers between four minus four minus 5% last year, we're seeing a big uptick this year. But you guys TSS right in the middle of all that, what are you seeing? >> Yeah, so we're kind of in the boiler room, so to speak, supporting our clients across the board, hardware, software, and everything else, and ultimately ensuring that our clients keep the lights on, while they also transform as we go forward. You know, for me, the last year has really just accelerated with the pandemic, all of the challenges. And it really brought shining light on those challenges that you just mentioned, that all of our clients are trying to deal with, you know, not just how do they keep the lights on? But how do they transform at the same time, this world of hybrid cloud? And what do they choose to keep versus what do they move? How do they integrate those things together? How do they carve out budget, as well as time in order to make all those things happen, which those are generally conflicting forces of the universe. And then, you know, on top of all that, you take COVID, and the pandemic and the shift from many of our clients 100% face to face to 100% remote, almost overnight, from 80% face to face, 20% digital sales model to the reverse almost overnight. Our retail clients, many of which in May had transaction numbers far exceeding Cyber Monday and Black Friday, not something that they plan for, but they need to be able to adapt to it. And for it, while minimizing everything that they've known historically, right, which is counting on lower volumes at certain points in time of the month, or of the year. And all of that adds up to just a tremendous number of challenges for the infrastructure of our clients. We've jumped in, you know, arm and arm with them, being able to answer things like how do we help their teams who no longer have physical access to a site, be able to go and fix things when vendors are not allowed. So leveraging technology, like augmented reality, as an example, gaining visibility into those environments to avoid outages ahead of time based on these huge peaks that they hadn't expected or seen before. And then also bringing up brand new digital services, and what does that mean to the broader infrastructure and how they extend it and expand it in a way that is constrained physically and from an access perspective. So definitely an exciting time to say the least. And it's we've been weaving and bobbing and dodging and sprinting with our clients along the way. >> Well, let's talk about (murmurs), 'cause you had this tight budget climate that we both talked about. And it had basic infrastructure, you had to buy laptops, you know, secure the endpoints, maybe spin up some VDI and do some things that I hadn't planned on, and maybe, you know, HQ, maybe there's pent up demand there. I'd be interested in your thoughts, and maybe it's been sort of, you know, neglected over the past 12-14 months. And then I've got this, you know, we talked about digital transformation, pre pandemic. And, you know, there was some movement, of course, but there was also a lot of complacency. And then he had this forced march to digital, and it wasn't planned at all, it wasn't planned for, it wasn't strategic, it was just like, go. So what do you tell clients who are facing those budget pressures, they still got to get stuff done. And they really need to rethink or think through their cloud and digital transformation strategy. What's that conversation like? >> Well, the first part is we can help and we can help very clearly by saving them 30% on average on their IT spend in terms of maintenance. So we've done in conjunction with Forrester, we've done a study of almost 300 of our clients over the last year and 30% is the number that they have spent. And that's 30% opex, straight to the bottom line or straight to reinvest directly back into their business. So it's companies like McKesson, who's a health care services provider, who's been swamped, distributing COVID vaccines across the US and enabling them to scale on IBM Power and storage along with Cisco Networking, software, including Linux, what they do around hard drive retentions, as they're swapping things in and out and expanding in order to meet regulatory requirements. It's Vodafone in New Zealand, adding 3000 network devices due to increased traffic from COVID, where we could save them 20% right off the bat as part of our overall umbrella maintenance agreement and being the single point of contact for them. It's Banco Santader in Chile, who have their own custom branch infrastructure and giving them anywhere between the two to 24 hour response time, depending on the location, the ones that are in the Andes takes a little bit more time to get there sometime by helicopter versus road, but nonetheless, you know, providing that kind of support. So those are the types of things that, you know, we've been seeing and how we've been helping our clients, they take that money reinvest it back in, but also, they start to work better and smarter as they go. So, you know, we've also introduced a cloud based support insights platform, which has helped clients like Maple Leaf Foods in Canada give them access and visibility into what is their network look like? What are the devices that they've got? Where do they have security vulnerabilities and in identifying hardware and software bugs. So giving them the ability to work smarter, so that they can also not just save on opex and the money that they're paying somebody else for maintenance, but also so that they can put their resources to work more efficiently and as a result, be able to go spend more time on other things? >> So I want to double click on that. So you know, this gain sharing idea. Does IT get any of that? Or does it all go back to the CFO? In other words, you know, can they reinvest that in in technology? Or is it part of that? What are you seeing there is that pie in the sky thinking the CIO is going to be able to take that game share? >> No, I don't think it's pie in the sky at all. CIOs, in my experience, have a budget, right, and they're responsible and have control of that budget. So if they can clear headroom from that existing budget, an opex of which maintenance is a big piece of that then, you know, generally, that's their money, so to speak, to go spend on other places and redirect that investment so that as you're reporting to the CFO, then that numbers ultimately still tie back to whatever their budget is. >> So where are they spending those dollars? I mean, are there any patterns that you're discerning in terms of how they're applying them? I mean, people always say, we're going to shift it to more strategic areas. What specifically does that mean? >> Well, so you know, we're seeing a number of places which are not, you know, unique, to say the least when you look at security, as one example, if you look at move to public cloud, for certain workloads, as another enterprise agility is a third, resiliency is another. So those tend to be the top areas that we're seeing clients prioritizing, and in taking those savings that they get from working with us and then applying them other places from a technology perspective. But then you also have the workforce aspect, and where are they investing and work play safety is one training skills being another and then ultimately, employee engagement and satisfaction is the third. >> Now this might be a little bit out of your swim lane, but because you're in the boiler room, I'm going to ask I mean, when we talked about organizations, you know, shifting the focus of their teams to these more strategic initiatives to really try to get differentiation and build moats that a lot of times, there's skills gaps, so how are clients dealing with that challenge? >> Also, there's a couple of things that we're participating and co-creating with our clients on. So one of them is you're right there based on that skills gap. Training is one aspect. But you can also leverage technology in order to fill some of those skills gaps around technology, somewhat ironic. So open source as an example, and looking at what open source packages are compatible or not compatible. And people who have not necessarily spent a lot of time in open source may spend a ton of time trying to debug something which is just a matter of a mismatch on packages from different open source runtimes as an example, so that's one where we've got assets that we've developed that holds a full library of those interoperability between open source packages. Vulnerabilities is another one where, if you're highly skilled, you know where to go to find those vulnerabilities, you understand how to assess them, you understand which ones are important or which ones are not important. But if you're not, then having something that you can go use as a quick guide is can be very valuable. And again, another asset that that we've developed, and it's enabled clients to move very quickly and bring brand new applications to market. So as an example, National Telecom in Thailand who have developed an application for specifically for the COVID pandemic, based on open source in order to attract COVID testing and vaccine status for tourists, and essential personnel, all built on open source, given the critical nature of it, they needed it supported in a way that they could get immediate responses and fixes, not something that they have the skills to do on their own. So we ended up partnering them in order to do just that. >> Okay, so the training piece, you're teaching them to fish, and then you're automating the catch where possible. So let's talk about getting a lot of talk about cloud, public cloud, OnPrem, cross cloud, edge. I'm interested in hearing more about the integration challenges, the more this universe grows, the more complex it gets across all these locations. How are you helping clients address these integration challenges? >> Yeah, so, you know, I think that the ultimate promise of cloud was, oh, you just put it all in the cloud. And poof, everything magically happens. But the reality is, only 20% of the workloads are sitting in the cloud, which means 80% of them are sitting somewhere else. And the vast majority of those workloads need to interact together. And you can ask yourself, so why is it only 20%? And there's a litany of reasons why ranging from security to integration with data sources, regulatory requirements, which is why we IBM released the financial services, public cloud in order to deal with that for our clients and with ISVs. End to end visibility and scalability. So how do I know where the bottlenecks are? How do I know where the problem point was, and an end to end application that's built of microservices that are running all over the place, architectural flexibility and complexity across multiple vendors. So if I've got all of these moving parts from all of these different OEMs, or sources, how do I actually get support and know which part is broken? And who to call and when to call? And then, you know, ultimately, it boils down to skills, which we talked about before and time and money. So, again, you know, for us this is about taking the holistic approach, a heterogeneous approach, a hybrid approach, if you will, and being able to provide our clients with the end to end support for that hybrid environment. >> Alright, last question, big question. But we're not much time but, you know, the, we call it the new abnormal, look, bring out your telescope. We're not going back. Where are we going? What do you see? >> Well, so I agree 100%, that we're not going back. And the pandemic has certainly done nothing to change that perspective. In fact, it's just accelerated it from my point of view. And it's true in the adoption, and more acceptance, really, of digital everything compared to where it was. We see it today all the time with clients who may have been hesitant in remote support as an example. But now they're embracing it with arms wide open, areas where they would have asked for us to provide technical personnel to come in and fix something. Now, because of access to data centers or unlimited access to data centers, we're supporting them remotely leveraging augmented reality, and they're using their own people, we ship the parts, they use your own people, we walk them through it. And in doing all that, we've actually seen our industry leading Net Promoter Score go up, which is somewhat counterintuitive, because historically, without a pandemic, you would have thought, if we would have tried to push that type of technology on clients who are not really ready for it or accepting, our Net Promoter Scores would have gone the other direction. But you know, in practice, they're already outpacing industry by 20 points, and they've actually been going up significantly over the last few years time. So for us, this is about embracing digital, it's about embracing the hybrid cloud and hybrid environments. It's about partnering with our clients in order to give them what they need and when they need it and be flexible and agile along the way to help them scale so definitely an exciting time no doubt of where we are as well as where we're going. >> Love the story, Michael, I miss bread and butter. You know, maybe you guys don't get a lot of the headlines, I guess unless something goes wrong but so you don't get a lot of headlines. That's good news. But congratulations by the way on the NPS. That's awesome. And thanks for coming on the CUBE. >> Great, thanks for having me Dave. >> You're welcome, and thank you for watching everybody. Keep it right there for more great content from IBM Think 2021. This is Dave Vellante for the CUBE. 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(bright music) >> Narrator: From around the globe, it's the CUBE with digital coverage of IBM Think 2021, brought to you by IBM. >> Welcome back to IBM Think 2021. My name is Dave Vellante. And I'm pleased to welcome onto the CUBE, our next guest, Michael Perera, who is the general manager for IBM Technology Support Services. Hello Michael, good to see you. >> Hi Dave, how are you? Thanks for having me. >> Yeah, my pleasure. Look, everybody wants to talk about transformation. And we're going to talk about how to do that while at the same time running your business. So Michael, talk about some of the challenges that businesses are facing today, they got to keep the lights on, they got to deal with remote workers, they got to continue to bring new products and services, they're dealing with cloud migration, they got new security that has to worry about endpoint and identifying their own workers in a different way. Budget serves are depressed are numbers, you know, our numbers between four minus four minus 5% last year, we're seeing a big uptick this year. But you guys TSS right in the middle of all that, what are you seeing? >> Yeah, so we're kind of in the boiler room, so to speak, supporting our clients across the board, hardware, software, and everything else, and ultimately ensuring that our clients keep the lights on, while they also transform as we go forward. You know, for me, the last year has really just accelerated with the pandemic, all of the challenges. And it really brought shining light on those challenges that you just mentioned, that all of our clients are trying to deal with, you know, not just how do they keep the lights on? But how do they transform at the same time, this world of hybrid cloud? And what do they choose to keep versus what do they move? How do they integrate those things together? How do they carve out budget, as well as time in order to make all those things happen, which those are generally conflicting forces of the universe. And then, you know, on top of all that, you take COVID, and the pandemic and the shift from many of our clients 100% face to face to 100% remote, almost overnight, from 80% face to face, 20% digital sales model to the reverse almost overnight. Our retail clients, many of which in May had transaction numbers far exceeding Cyber Monday and Black Friday, not something that they plan for, but they need to be able to adapt to it. And for it, while minimizing everything that they've known historically, right, which is counting on lower volumes at certain points in time of the month, or of the year. And all of that adds up to just a tremendous number of challenges for the infrastructure of our clients. We've jumped in, you know, arm and arm with them, being able to answer things like how do we help their teams who no longer have physical access to a site, be able to go and fix things when vendors are not allowed. So leveraging technology, like augmented reality, as an example, gaining visibility into those environments to avoid outages ahead of time based on these huge peaks that they hadn't expected or seen before. And then also bringing up brand new digital services, and what does that mean to the broader infrastructure and how they extend it and expand it in a way that is constrained physically and from an access perspective. So definitely an exciting time to say the least. And it's we've been weaving and bobbing and dodging and sprinting with our clients along the way. >> Well, let's talk about (murmurs), 'cause you had this tight budget climate that we both talked about. And it had basic infrastructure, you had to buy laptops, you know, secure the endpoints, maybe spin up some VDI and do some things that I hadn't planned on, and maybe, you know, HQ, maybe there's pent up demand there. I'd be interested in your thoughts, and maybe it's been sort of, you know, neglected over the past 12-14 months. And then I've got this, you know, we talked about digital transformation, pre pandemic. And, you know, there was some movement, of course, but there was also a lot of complacency. And then he had this forced march to digital, and it wasn't planned at all, it wasn't planned for, it wasn't strategic, it was just like, go. So what do you tell clients who are facing those budget pressures, they still got to get stuff done. And they really need to rethink or think through their cloud and digital transformation strategy. What's that conversation like? >> Well, the first part is we can help and we can help very clearly by saving them 30% on average on their IT spend in terms of maintenance. So we've done in conjunction with Forrester, we've done a study of almost 300 of our clients over the last year and 30% is the number that they have spent. And that's 30% opex, straight to the bottom line or straight to reinvest directly back into their business. So it's companies like McKesson, who's a health care services provider, who's been swamped, distributing COVID vaccines across the US and enabling them to scale on IBM Power and storage along with Cisco Networking, software, including Linux, what they do around hard drive retentions, as they're swapping things in and out and expanding in order to meet regulatory requirements. It's Vodafone in New Zealand, adding 3000 network devices due to increased traffic from COVID, where we could save them 20% right off the bat as part of our overall umbrella maintenance agreement and being the single point of contact for them. It's Banco Santader in Chile, who have their own custom branch infrastructure and giving them anywhere between the two to 24 hour response time, depending on the location, the ones that are in the Andes takes a little bit more time to get there sometime by helicopter versus road, but nonetheless, you know, providing that kind of support. So those are the types of things that, you know, we've been seeing and how we've been helping our clients, they take that money reinvest it back in, but also, they start to work better and smarter as they go. So, you know, we've also introduced a cloud based support insights platform, which has helped clients like Maple Leaf Foods in Canada give them access and visibility into what is their network look like? What are the devices that they've got? Where do they have security vulnerabilities and in identifying hardware and software bugs. So giving them the ability to work smarter, so that they can also not just save on opex and the money that they're paying somebody else for maintenance, but also so that they can put their resources to work more efficiently and as a result, be able to go spend more time on other things? >> So I want to double click on that. So you know, this gain sharing idea. Does IT get any of that? Or does it all go back to the CFO? In other words, you know, can they reinvest that in in technology? Or is it part of that? What are you seeing there is that pie in the sky thinking the CIO is going to be able to take that game share? >> No, I don't think it's pie in the sky at all. CIOs, in my experience, have a budget, right, and they're responsible and have control of that budget. So if they can clear headroom from that existing budget, an opex of which maintenance is a big piece of that then, you know, generally, that's their money, so to speak, to go spend on other places and redirect that investment so that as you're reporting to the CFO, then that numbers ultimately still tie back to whatever their budget is. >> So where are they spending those dollars? I mean, are there any patterns that you're discerning in terms of how they're applying them? I mean, people always say, we're going to shift it to more strategic areas. What specifically does that mean? >> Well, so you know, we're seeing a number of places which are not, you know, unique, to say the least when you look at security, as one example, if you look at move to public cloud, for certain workloads, as another enterprise agility is a third, resiliency is another. So those tend to be the top areas that we're seeing clients prioritizing, and in taking those savings that they get from working with us and then applying them other places from a technology perspective. But then you also have the workforce aspect, and where are they investing and work play safety is one training skills being another and then ultimately, employee engagement and satisfaction is the third. >> Now this might be a little bit out of your swim lane, but because you're in the boiler room, I'm going to ask I mean, when we talked about organizations, you know, shifting the focus of their teams to these more strategic initiatives to really try to get differentiation and build moats that a lot of times, there's skills gaps, so how are clients dealing with that challenge? >> Also, there's a couple of things that we're participating and co-creating with our clients on. So one of them is you're right there based on that skills gap. Training is one aspect. But you can also leverage technology in order to fill some of those skills gaps around technology, somewhat ironic. So open source as an example, and looking at what open source packages are compatible or not compatible. And people who have not necessarily spent a lot of time in open source may spend a ton of time trying to debug something which is just a matter of a mismatch on packages from different open source runtimes as an example, so that's one where we've got assets that we've developed that holds a full library of those interoperability between open source packages. Vulnerabilities is another one where, if you're highly skilled, you know where to go to find those vulnerabilities, you understand how to assess them, you understand which ones are important or which ones are not important. But if you're not, then having something that you can go use as a quick guide is can be very valuable. And again, another asset that that we've developed, and it's enabled clients to move very quickly and bring brand new applications to market. So as an example, National Telecom in Thailand who have developed an application for specifically for the COVID pandemic, based on open source in order to attract COVID testing and vaccine status for tourists, and essential personnel, all built on open source, given the critical nature of it, they needed it supported in a way that they could get immediate responses and fixes, not something that they have the skills to do on their own. So we ended up partnering them in order to do just that. >> Okay, so the training piece, you're teaching them to fish, and then you're automating the catch where possible. So let's talk about getting a lot of talk about cloud, public cloud, OnPrem, cross cloud, edge. I'm interested in hearing more about the integration challenges, the more this universe grows, the more complex it gets across all these locations. How are you helping clients address these integration challenges? >> Yeah, so, you know, I think that the ultimate promise of cloud was, oh, you just put it all in the cloud. And poof, everything magically happens. But the reality is, only 20% of the workloads are sitting in the cloud, which means 80% of them are sitting somewhere else. And the vast majority of those workloads need to interact together. And you can ask yourself, so why is it only 20%? And there's a litany of reasons why ranging from security to integration with data sources, regulatory requirements, which is why we IBM released the financial services, public cloud in order to deal with that for our clients and with ISVs. End to end visibility and scalability. So how do I know where the bottlenecks are? How do I know where the problem point was, and an end to end application that's built of microservices that are running all over the place, architectural flexibility and complexity across multiple vendors. So if I've got all of these moving parts from all of these different OEMs, or sources, how do I actually get support and know which part is broken? And who to call and when to call? And then, you know, ultimately, it boils down to skills, which we talked about before and time and money. So, again, you know, for us this is about taking the holistic approach, a heterogeneous approach, a hybrid approach, if you will, and being able to provide our clients with the end to end support for that hybrid environment. >> Alright, last question, big question. But we're not much time but, you know, the, we call it the new abnormal, look, bring out your telescope. We're not going back. Where are we going? What do you see? >> Well, so I agree 100%, that we're not going back. And the pandemic has certainly done nothing to change that perspective. In fact, it's just accelerated it from my point of view. And it's true in the adoption, and more acceptance, really, of digital everything compared to where it was. We see it today all the time with clients who may have been hesitant in remote support as an example. But now they're embracing it with arms wide open, areas where they would have asked for us to provide technical personnel to come in and fix something. Now, because of access to data centers or unlimited access to data centers, we're supporting them remotely leveraging augmented reality, and they're using their own people, we ship the parts, they use your own people, we walk them through it. And in doing all that, we've actually seen our industry leading Net Promoter Score go up, which is somewhat counterintuitive, because historically, without a pandemic, you would have thought, if we would have tried to push that type of technology on clients who are not really ready for it or accepting, our Net Promoter Scores would have gone the other direction. But you know, in practice, they're already outpacing industry by 20 points, and they've actually been going up significantly over the last few years time. So for us, this is about embracing digital, it's about embracing the hybrid cloud and hybrid environments. It's about partnering with our clients in order to give them what they need and when they need it and be flexible and agile along the way to help them scale so definitely an exciting time no doubt of where we are as well as where we're going. >> Love the story, Michael, I miss bread and butter. You know, maybe you guys don't get a lot of the headlines, I guess unless something goes wrong but so you don't get a lot of headlines. That's good news. But congratulations by the way on the NPS. That's awesome. And thanks for coming on the CUBE. >> Great, thanks for having me Dave. >> You're welcome, and thank you for watching everybody. Keep it right there for more great content from IBM Think 2021. This is Dave Vellante for the CUBE. 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>>from around the globe. >>It's >>the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. Yeah, welcome back to the cubes. Live coverage of reinvent 2020. I'm your host, John for year here for three weeks with a cube virtual. This year we're not in person. We're doing remote because of the pandemic. A great guest for credit Ghira CEO at I t a unit Banco in Brazil, Great customer of Amazon. Really a good reference point to this transformation story that Andy Jassy has been talking about on stage Ricardo. Great to have you on remotely. Thanks for coming on from Brazil. >>Thank you. Thanks for having me >>love to get down there, land the beach for a while. Just relax. After all the virtual tension from reinvent all the coverage, it's been wild. Anyway, thanks for coming on. I want to get into a CEO. You know, one of the things that Andy Jassy was really leaning forward this year on was the story of you gotta be on the cloud to have agility and the digital transformation which has been talked about for years. People process technology. We've heard that this year. More than ever, it's been quite the acceleration. You're either on the right side of history or not here as a business. Can you share your story of your transformation with Amazon? >>Sure, John. Eso this story months back Thio Actually, a decade ago when we started discussing our digital transformation, Right, eso when we see we are bank, that is almost 100 years old, 96 years old. And we are We're a big one we have on in Brazil 56 million customers. So it's a big company. Uh, and we have pretty much all the businesses over Universal Bank, including insurance here in Brazil. Banks also have insurance on all the rest. So from corporate banking to retail, from credit cards to investments, all sort of products and, uh, we started in technology Eyes early is in the seventies. So 1973 to be exactly when we started our current account system in the mainframes, right? So you can imagine that we have invested a lot in technology over the last almost 50 years, and it's always very well known here in the country for for the use of technology. So we have been pioneers in online transfer In the eighties, we have been pioneers using A T. M's and Internet banking and so on. Uh, but what happened until 2010 is that we were pretty much putting up applications, one top off the other. So we are offering products and services assed fast as we could, looking at the customer, trying to differentiate ourselves from competition. But definitely we were trying to move AST fast as we could, but we were not taking the right care off the platform. In the sense that today we see a lot of transformation in technology happening all the time, right? There's new stuff coming out all the time. We're seeing, hearing reinvent the amount of things that AWS have lounged. So all the time we're seeing new stuff, which is good for the business. So So the speed off this transformation is only getting faster and faster. So in order, Thio be to use all of those features to be able to leverage on new technology. Your platform has to be flexible. You have to be able to adopt those new technologies without losing moment off, offering your products and services, right? So, uh, again a decade ago. We started discussing these and we said We have to invest in technology in a different ways, not only producing solutions in financial services, but definitely we have to take care of the platform and understand how we should evolve the platform in order to you again. Better offer products and services to our customers, which is by by the end of the day. It's why we exist. So so So we started this story and we said Okay, so there's there's three things mainly that we have to take care in order. Thio, go into this journey. First of all, it's about people. We have to have a new mindset, a new culture, Ah, mindset where we have where we empower people in decisions. We have people thinking about the customer all the time and being aggressive on building solutions for them and using technology for building those solutions. Right. So we need more sort of entrepreneur type of people on people who really want to differentiate themselves and provide better services to the customer. In the second pillar, I would say the methodology has to change right. You have to have an agile methodology agile approach, as opposed to a traditional waterfall approach with silos internally in the organization that allows you to be faster as well and to adapt to customer needs faster on and third of all, which is the main subject here. In our conversation, you have to have a flexible platform, as I will explain on Duh. So we decided to pretty much rewrite our application in an architectural where we can be flexible. So pretty much what we have a sort of a monolith where we write cold. We have ridden code in a sequence building huge applications, right, and those huge applications are bottom acts, and they are very hard to maintain and to evolve. What we're doing is in a simple way. Building Micro services were breaking up those applications so we can adapt faster to whatever we see that our customers need or there's any business opportunity. In that sense, Cloud is the perfect platform to host those services, right, because we have again we're able to have the Bob's methodology. You are able to have service reliable engineering aside, reliable engineering were able to have all kinds of things and services that will help us on this journey to be more flexible and faster, right? So that Z that's why we have chosen to go to the cloud. In that sense, we've looked for a partner that waas reliable that waas a leader in the market that was able thio keep up with all the technology that is coming out in the market and offer innovation in the level that we need. And and that's that's the reason why we partner up with AWS for for the next 10 years. So, uh, you happy? Are >>you happy with Amazon? Just while I got you there? Are you happy with their with their response to you and there they're in, uh, interfacing with you guys. Are you happy with them? >>Yes. Yes, John, we have started working with AWS more intensely back in 2018 when our central bank bank allowed us to go to the public cloud. So we started working with them and we learned a lot. Of course, we were very young and immature at the time. In the knowledge of the technology eso We learned a lot in this two years and a half and we have built nice stuff together we have a very important court systems running on W s already on. They have been a good apartment. What they like to say is that our cultures match. We are both customer centric. Sui are both concerned with the success off the partnership. Ah, long term partnership doesn't work. If you're not concerned with the relationship, right, you've got to make sure that both parts will profit from this. Right? So, uh, I think we had we have had a good match, and in terms of technology, we are We are very happy. We have all the infrastructure and services that we need. >>Yeah, when you're building a bridge to the future together, your relationships matter. I would agree. And I think that's a differentiator I wanna just touch upon you mentioned you guys were pioneers going back and the way you tell your story. I was growing up in the seventies and kind of cut my teeth in the eighties and computer science. And remember those days it was very cool. Time went from mainframe client server, but there's a point where you become bloated with the monolithic. You got you stuck with all this. We called spaghetti code, right? It's all over the place, right? So, uh, in all intertwined, then you have that moment of truth. That's something that Andy Jassy was saying on stage. I thought was interesting. And it was almost like a business school lesson of Hey, leaders, you got to get to the truth. When you guys saw the cloud, what was the mindset? Because it sounds like you guys are a pioneering culture. You like Thio be innovative. What was the moment? Take me through the mindset of Hey, we better get busy building or we're gonna get busy dying. What's the What's the take me through that mindset >>at a very good question, John. So we literally started to suffer with our own speed to be really transparent, right? We were seeing the market starting to speed up all these new start ups and tech companies in other industries. And we're seeing all the industry's moving faster and everyone building solutions that were way better to the customer than the solutions that we were seeing. I don't know five or 10 years before, and it doesn't matter if you're talking about any industry, not only finance, right, So So we said. OK, looks like the financial industry is going to go through the same the same path and we're trying. We're trying to make things Mawr, mawr, I would say towards the customer and we're trying to understand customer needs better. And we actually did that when we have implemented a design thinking methodology back in 2010. Ah, Big one at the bank and And we came up with a lot of solutions building along with the customer and we were piling up backlogs, right? We're saying Okay, there's lots of stuff that we have to dio were lost in our spaghetti. That's pretty much it right, s So that's when we saw Okay, that's That's the end of Jesse moment that you describe Stop. We have to have a better platform. We have to reorganize ourselves. Otherwise we're gonna get lost in ourselves. There is no there's no way we can grow and invest Mawr because we're going to get stuck in this forget anyway. So So we structured a very robust program off platform modernization where we have we have invested over the last few years mainly, and we're going to keep on investing. Looking ahead where we try to build solutions while modernizing our platform. So there's no from from our perspective or a platform is big enough to just say that we cannot just rebuild the platform. Let's let's put a teen aside and let's rebuild the back that would take on all 789 years. I don't know how long and then we would be legacy again whenever finished. So what we do is we break up the our our reasoning. So we say Let's take each business as a very small component off the bank and let's build the technological components that support that business and let's extract those components from the monolith from from the Legacy. And and that's a strategy. That's the technology strategy that we have today. So we have empowered the business for them to own the platform. So they understand today that the platform is not a problem of technology, but it's actually the business. And by owning the platform, they understand that the monolithic doesn't allow them to be as fast as they want as the customer want, so it's very straightforward for them to understand that they have to break up the batter form They have to prioritize building micro services in the cloud so all the ideas and needs that they can identify will be much easier to implement. After that, >>you put it on them. They have to own the up they have to own. The business model of the platform is there. If the keys to the kingdom or in their hands, you're enabling that. That's a great stretch. And I love the MicroStrategy's breakout picking things out rather than trying to boil the ocean over over seven years. That's a big mistake people make and they end up having a legacy. Outdated platform that's ready for no one. Right? Ricardo? That's a masterclass right there in strategy. Thank you very much for sharing that insight into your bank And congratulations and all your innovations continues. Thanks for coming on the Cube. >>Thank you so much. >>Okay, I'm John. For a host of the Cube, virtual were remote this year. Got great content. Stay with us on the Cube Channel here on AWS. Reinvent. Thanks for watching

>>from around the globe. It's the Cube covering HP Discover Virtual Experience Brought to You by HP >>I Welcome to the Cube's coverage of HP Discover. 2020. The virtual experience I'm Stew Minimum course This year we're getting to talk to HP, their customers and their partners where they are around the globe. We said many times these were, you know, together, even while we're art happy to dig into a really important partnership with HP and VM Ware. Welcome to the program. First time guest on the program Christmas Satterthwaite. She is the vice president of product management for Compute with Packard Enterprise and welcome back to the program Lee Caswell. He is the vice president, product marketing for hyper converged infrastructure, her at VM Ware talking about V sphere and how that gets bundled into everything else. Chris Stanley, thanks so much for joining us. >>Thanks for having us. >>Alright, So, Chris, let's start with you. So you know, like a little bit about your background? The HP and HP relationship with VM Ware, you know, goes back to you know, the earliest days, but, you know, give us a little bit about you know where in the portfolio you focus on and and how VM Ware fit, then >>Oh, sure, sure. So I've been with H P E for 23 years now, and I'm leading the business for Alliance and Synergy and talking a little bit about the relationship with VM Ware. So we've been partnering for 19 years and we have over 200,000 joint customers together. And I'm actually often asked about the partnership and how we partner and we really partner across all fronts. So it's from the innovation for the co engineering, the working with specific customers on what solutions are good for them to servicing our customers. So we're really working across the board, and a lot of customers we work with closely are really impressed with how closely we're working together, because that's what they look for. >>Yeah, and we it's it's It's an interesting relationship to watch. Obviously, you know, long history Chris talked about on the it side, but the VM partnership is more than just the compute. Maybe gives a little bit of a view inside. You know, the joint engineering go to market efforts that you do. >>Yeah. I mean, customers always sit up straight when we talk together, because both hard companies or just raw engines of innovation and they look forward to not just the capabilities or bringing, but also the seamless way that we integrate that and make that seamless and easy for customers to digest. So certainly on the server front through V sphere, that's been a longstanding, uh, participation the VM Ware Cloud Foundation. Then this fully software defined stack became a really interesting way for us to go in partner and show joint value to customers who are trying to basically get more speed the speed. We're gonna talk about a lot that today and then finally, the confirmation that we've opened up into storage systems, right? So there's certainly a hyper converged element of it. But now what we do with Nimble three Par and now I'm Era is a really interesting way for us to take the vehicle technology that we have and extend the common operating model. So really just interesting innovation for customers that take advantage of as they look to innovate themselves. >>Krista, from from a research standpoint, you know, we were really early in watching, you know, new models of building out storage. And we said, You know, the pendulum has swung back to pull it much closer to the compute you talked about. You've got a broad portfolio and compute. You know, synergy has some really interesting, you know, ways to be able to compose things and leverage software capabilities. So maybe give >>us a >>little bit of how HP differentiates in the market cause, you know, VM Ware does partner with lots of people. But you know what separates the's point solution? Everything else out in the market? >>Sure, and synergy is a great example, because what we're seeing is really, really high interest on on synergy with VCF. And the reason for that is because customers want a software to find infrastructure that they can compose, compute storage and networking as they need to to address any workload they have. And they want to do that with a partner like VM Ware and VCF. So what we see is customers choosing those two things together and building their hybrid cloud environments on those two. When I think of some of the customers that we have, I'll give you a specific example. So Banco Santander's one of the largest banking groups in the world. And they are really trying to drive innovation across all of their, um, locations there in North America, South America, Europe, Asia. They're trying to drive innovation across. They have a big project, and they selected Synergy and VCF and as a service green lake bottle to help them transform their business. And they're really excited because what they think this is providing to them is a reduced a data center space, reduced power consumption and reduce costs. And all of that with automation, more automation than they've had in the past. More flexibility than they've had in the past. >>Yeah, I'm so glad you brought up the Green Lake because you know, those as a service models. You know, Cloud obviously has been a big discussion for the last two years, Lee, Um, you know, VM Ware is no stranger to, you know, working in multi and hybrid environments. It gives a little bit about you know what you're hearing from your customers. You know, if you meant Green Lake, how does that fit in the overall? You know, VM Ware multi cloud offering. >>Well, you know, we all know these air uncertain times, right? and customers and uncertain times. We're looking for flexibility. How do they go? And basically, you know, invest smartly, right? Look to come out of uncertain times stronger. And what we're finding is that the flexibility, you know, starting it. You know, we're really impressed with this energy platform, by the way, the idea of being able to flexibly, configure, compute and storage to tie into external arrays from that end, to have the VM Ware Cloud Foundation is a unifying, software defined data center concept that's available on Prem and then extends into the hybrid cloud. This basic gives investment protection to customers who are looking for how to invest in. You know, you mentioned Green Lake as well, and I just mentioned that innovation on Green Lake is about true consumption based purchasing miles, if you will. And that's different than just a financial engineering aspect. I mean, that's real innovation and real technical innovation in terms of how customers can go in a why infrastructure at the time that they needed relative to that compelling business models, >>and I'll chime in their Teoh, I'll tell you a little story about when I first presented the green like model. At that time, it wasn't called Green Lake, but I presented it to a bunch of customers, about 100 customers in an advisory council. And I have never had so many people come up to me afterwards trying to figure out how they can get that for themselves as I did when I had that presentation. What really resonated with people is that they wanted to take advantage of the latest and greatest technologies, but they didn't have big budgets. And when they did take advantage of those technologies, one of the challenges has been growth. So when they need to expand, that's another procurement cycle. You have a way to have the standard all love with Green Lake. You actually have that added capacity on sites and then also painful what you use s so they were attracted to all of those things. And I feel like right now and the environment were in many people had big, big projects, things they want to do, and they may have planned those ah, a capital expenditure for that. But that money may not be there, So Green Lake is one of those things that can help overcome that challenge. And what we found is when people use green like we don't see many people. Um, go back. So what? I was talking to the green like team, and I said, You know what happens if they decide not to do Green Lake and they're kind of pause, and they're like, Well, we really haven't run into that very often. So it's very, very popular, and customers were really happy with it. >>Yeah. Talking about innovation and helping customers take advantage of new technologies. You know, maybe we'll start with you and Krista. Definitely want your but been a lot of feedback about V. Sphere seven. Of course, One of the big pieces of that is how, you know, cloud native container ization kubernetes It can be pulled into the, you know, the virtualization platform. So we're talking a lot about vcf Lee. That's the you know. Wait. Get it. The community's piece today. Tell us a little bit about that and what you hear from customers. And then Chris, I'd like to understand how that fits into the HP offering. >>Yeah, you know, the data we have shows that 95% of new applications are being developed on containers. Why? Because it's the speed of ill. And so at VM Ware, we've re architected V sphere for the first time that, you know in the last five years. And you look carefully at what the EMR integrates into the hyper visor because that's what we believe is going to be really benefiting from performance efficiency and management. And so we've integrated kubernetes directly into the hyper visor itself and then to our Tom's, a portfolio. Introduce an upstream compatible kubernetes development environment so that we have developer ready infrastructure. And that's really important because at the speed of new applications, basically you need to be able to respond quickly to those and what VM Ware has always offered right, which is a resilient underlying infrastructure with an intrinsic security model built in conceptually important when containers are being spun up more quickly. All right, mark quickly. They're being portable and portable across the hybrid cloud. Those models right mean that you need and convince you get value right from this integrated model that leverages all of the experience and knowledge that people have around how to run V Center and V Sphere so really exciting, and it's available in VCF for with >>I actually see the interest. I see customers asking about an enquiring about it. Vikan, you know, definitely second everything that we just said. I think you're really you're going to see a really fast transition over because there's so much value. Add it in. >>Excellent. Okay, Crystal, while I've got you on the compute piece, you know, legally said that 95% of application new applications are being built on container ization. How has that impacted architecture, er and how you're working with? >>Yeah. So what I find is that customers are very interested in containers. What we're doing is we're helping them from a services standpoint. A consulting standpoint of many of these customers are adopting for the first time trying to figure out how they could they could leverage containers in their environment. From our standpoint, it's making sure that we have the right platforms and we're advising and consulting and helping customers get there. >>Excellent, Lee. You know, Kristen talked about a sense and under one wondering if you've got any customer examples you like to share? >>Yeah. Great. One is ah, portion. I love the portion example. Just because portion, just the epitome of speed. And so the idea of this flexibility well, you're finding rate is the flexibility, right? Starting from, let's say, from a synergy, I'm flexible on the part of their allocation, right? And then, with VCF right now being able to be flexible across the hybrid cloud and now with VCF or with ponzu, the flexibility of introducing new modern applications support on Finally Layer and Green Lake On top of that which which is also using it, gives you this idea that you know, especially in uncertain times. But, you know, regardless, the changing business environment where everyone's responding, toe app, development rushers, timelines and innovation. We've got a really interesting model now for customers to invest responsibly and be able to respond quickly. >>Hm. Excellent. Crystal, I guess. Said the other pieces were at discover any updates on the portfolio expanding the VM solution. That >>Yeah. Yeah. So I'd like to talk a little bit about our pre validated synergy vcf solution stack with built in automation. So we literally got rid of hundreds of that's pre and post employment so we could speed deployment by five times. We were talking to point in hours instead of weeks. So we're really, really excited about that. We're working together to make sure we're making things easier for customers making that journey to a hybrid cloud very, very simple. So we're really happy to have, you know, offer that to customers. >>Great Lee, Any any final words you can share on the partnership? You >>know what I might say? It's right that the pace of innovation from our companies right is so great, Right? That really v vm Ware Cloud Foundation is a way, you know, in our joint effort and joint delivery rate is a way for customers to assimilate all of this innovation. So that day zero, it's guaranteed the work. And that day two, you can lifecycle manage all the individual components from a common sec manager interface. That's the value that we're bringing together today. Is that Listen, you know, putting all this in place conceived, daunting until the VM Ware Cloud Foundation, with synergy with all of the joint value we have basically makes it manageable so that you can go and basically stop looking down it infrastructure. Look up the ass. >>All right. Christine will let you have the final word and final takeaways from HP Discover. >>Okay, sure. Thanks. Together. What we're trying to do is simplify that journey to hybrid cloud. Make sure that customers can innovate faster, provide stable operations and reduce their costs. >>Well, Chris Stanley, thank you so much for joining us. Congratulations on the progress. Looking forward. Toa watching down the road. >>All right, thanks. >>Alright, Stay tuned for lots more coverage from the Cube, HP Discover 2020. Virtual experience on stew Minimum. Thanks for watching. Yeah, >>yeah, yeah, yeah.

>> Announcer: From around the globe, it's "theCUBE", covering HPE Discover Virtual Experience, brought to you by HPE. >> Hi, and welcome to "theCUBE"'s coverage of HPE Discover, 2020, The virtqual Experience. I'm Stu Miniman. Of course this year, we're getting to talk to HPE, their customers and their partners where they are around the globe. We've said many times this, we're together even while we're apart, having to dig into a really important partnership with HPE and VMware. Welcome into the program, first time guest on the program, Krista Satterthwaite. She is the Vice President of Product Management for Compute, with Hewlett Packard Enterprise and welcome back to the program. Lee Caswell, he is the Vice President of Product Marketing for hyper converged infrastructure, at VMware. Of course, we're talking about vSphere and how that gets bundled into everything else. Krista and Lee, thanks so much for joining us. >> Thanks for having us. >> All right, so, Krista, let's start with you. So, I'd like to know a little bit about your background. And of course, the the HP and HPE relationship with VMware, goes back to, the earliest days, but give us a little bit about, where in the portfolio you focus on and how VMware fits in. >> Oh, sure, sure. So I've been with HPE for 24 years now. And I'm leading the business for Alliance and Synergy. And talking a little bit about the relationship with VMware. So we've been partnering for 19 years, and we have over 200, 000 joint customers together. And I'm actually often asked about the partnership and how we partner, and we really partner across all fronts. So it's from the innovation, to the CO engineering, to working with specific customers on what solutions are good for them to servicing our customers. So we're really working across the board and a lot of customers we work with closely, are really impressed with how closely we're working together because that's what they look for. >> And and Lee it's an interesting relationship to watch, obviously, the long history Krista talked about on the Compute side. But the VMware HPE partnership is more than just the Compute, maybe give us a little bit of a view inside, the joint engineering, joint go-to market efforts that you do. >> Yeah, you bet. I mean, customers always sit up straight when we talk together, because, both of our companies are just raw engines of innovation. And they look forward to not just the capabilities that we're bringing, but also the seamless way that we integrate that and make that seamless and easy for customers to digest. So, certainly on the server front, through vSphere, that's been a long standing participation, the VMware cloud Foundation, then this fully Software-Defined stack became a really interesting way for us to go and partner and show joint value to customers who are trying to basically get more speed, particularly speed. We're going to talk about a lot of that today, and then finally, VMware cloud foundation that we've opened up into storage systems. So there's certainly a hyper converged element of it. But now what we do with nimble three part and now primeira is a really interesting way for us to take the vVols technology that we have and extend a common operating model. So really just interesting innovation for customers to take advantage of, as they look to innovate themselves. >> Krista, from a research standpoint, we were really early in watching, new models of building out storage, and we said, the pendulum is swung back to pull it much closer to Compute. You talked about you've got a broad portfolio in Compute, Synergy has some really interesting ways to be able to compose things and leverage software capabilities, so maybe give us a little bit as to how HPE differentiates in the market. Because, VMware does partner with lots of people but what separates these point solutions from everything else out in the market. >> Sure, and Synergy is a great example because what we're seeing is a really, really high interest on, on Synergy with VCF. And the reason for that is because customers want a software-defined infrastructure, that they can compose, Compute, storage and networking, as they need to, to address any workload they have. And they want to do that with a partner like VMware and VCF. So what we see is customers choosing those two things together, and building their hybrid cloud environments on those two. When I think of some of the customers that we have, all given a specific example. So, Banco Santander is one of the largest banking groups in the world, and they are really trying to drive innovation across all of their locations that are in North America, South America, Europe, Asia. They're trying to drive innovation across, they have a big project. And they selected Synergy and VCF as a service GreenLake model to help them transform their business. And they're really excited because what they think this is providing to them is a reduced data center space, reduced power consumption, and reduced costs. And all of that with automation, more automation than they've had in the past, more flexibility than they've had in the past. >> Yeah, I'm so glad you brought up the GreenLake, because, those other service models, cloud obviously has been a big discussion for the last few years. Lee, VMware is no stranger to working in multi and hybrid cloud environments. Give us a little bit about what you're hearing from your customers, you mentioned the GreenLake solution. How does that fit in the, overall, VMware multi cloud offering? >> Well, we all know these are uncertain Time's right? And customers in uncertain times are looking for flexibility. How do they go and basically, invest smartly, look to come out of uncertain times stronger. And what we're finding is that flexibility... Starting at, we're really impressed with this Synergy platform by the way. The idea of being able to flexibly configure, Compute and storage to tie into external arrays from that and to have the VMware cloud foundation as a unifying Software-Defined data center concept that's available on-prem and then extends into the hybrid cloud. This basically gives investment protection to customers who are looking for how to invest in, you've mentioned GreenLake as well. And I just mentioned that innovation on GreenLake is about true consumption-based purchasing models, if you will. And that's different than just a financial engineering aspect. I mean, that's real innovation and real technical innovation in terms of how customers can go and apply infrastructure. At the time that they need it, relative to the compelling business models. >> I'll chime in there too, I will tell you a little story about when I first presented the GreenLake model, at that time, it wasn't called GreenLake. But I presented it to a bunch of customers about 100 customers in an advisory council. And I have never had so many people come up to me afterwards, trying to figure out how they can get that for themselves, as I did when I had that presentation. What really resonated with people is that they wanted to take advantage of the latest and greatest technologies, but they didn't have big budgets. And when they did take advantage of those technologies, one of the challenges has been growth. So when they need to expand, that's another procurement cycle. You have to wait, you have to stand it all up. With GreenLake, you actually have that added capacity on site, and then also payfor what you use. So they were attracted to All of those things. And I feel like right now, in the environment we're in, many people had big, big projects, things they wanted to do. And they may have plan those capital expenditure for that, but that money may not be there. So GreenLake is one of those things that can help overcome that challenge. And what we found is when people use GreenLake, we don't see many people go back. So, I was talking with the GreenLake light team, and I said, what happens if they decide not to do GreenLake and they kind of pause, and they're like, "Well, we really haven't run into that very often." So it's very, very popular and customers were really happy with it. >> Yeah, talking about innovation and helping customers take advantage of new technologies. Lee, maybe we'll start with you and Krista, definitely want your input. Been a lot of feedback about vSphere seven. Of course, one of the big pieces of that, is how cloud native containerization Kubernetes can be pulled into the virtualization platforms. So we're talking a lot about VCF, Lee, that's the, the way to get it, the Kubernetes piece today. Tell us a little bit about that, what you're hearing from customers and then, Krista, I'd like to understand how that fits into the HPE offerings. >> Yeah, the data we have, shows that 95% of new applications, are being developed on containers. Why? Because it's the speed of development. And so, at VMware, we've re architected vSphere for the first time that in the last five years. And look carefully at what VMware integrates into the hypervisor, because that's what we believe is going to be really benefiting from performance, efficiency and management. And so we've integrated Kubernetes directly into the hypervisor itself. And then through our Tanzu portfolio, introduce an upstream, compatible, Kubernetes development environment so that we have developer-ready infrastructure. And that's really important because at the speed of new applications, basically, you need to be able to respond quickly to those. And what VMware has always offered, which is a resilient underlying infrastructure with an intrinsic security model built in. And separately important, when containers are being spun up more quickly, destroyed more quickly. They're being portable now they're portable across the hybrid cloud, those models mean that you need, and you get the value right from this integrated model that leverages all of the experience and knowledge that people have around how to run this center and this sphere. So really exciting. And it's available in VCF 4.0 with Tanzu and Synergy. >> Yeah. And I will say that it's very exciting because I actually see the interest I see customers asking about and inquiring about it. I can, definitely second everything that Lee just said. I think Lee you're going to see a really fast transition over because there's so much value added in. >> Excellent. Okay, Krista, while I've got you on the Compute piece, Lee said that 95% of new applications are being built on containerization. How has that, impacted architecture in how you're working with customers? >> Yeah, so what I find is that customers, are very interested in containers. What we're doing is we're helping them from a services standpoint, a consulting standpoint. Many of these customers are adopting for the first time trying to figure out how they could leverage containers in their environment. From our standpoint, it's making sure that we have the right platforms and we're advising and consulting and helping customers get there. Excellent. Lee, Krista talked about Santander, wondering if you've got any customer examples you'd like to share. >> Yeah, great one is Porsche, I love the Porsche example, just because Porsche, just The epitome of speed. And so the idea of this flexibility. The way you're finding, is the flexibility starting from, let's say, from a Synergy, and flexible on hardware allocation? And then with VCF now being able to be flexible across the hybrid cloud, and now with VCF 4.0, with Tanzu, the flexibility of introducing new modern application support, and finally layering GreenLake on top of that, which Porsche is also using, it gives you this idea that, especially in uncertain times, but regardless, the changing business environment where everyone's responding to app development, pressures, timelines, and innovation, we've got a really interesting model now for customers to invest responsibly and be able to respond quickly. >> Excellent. Krista, I guess the other piece, onto Discover, any updates in the portfolio expanding the VMware solution that you can share? >> Yeah. Yeah, so I'd like to talk a little bit about our pre validated Synergy VCF solution stack with built in automation. So we've literally gotten rid of hundreds of steps, pre and post deployment. So we could speed deployment by five times. So we're talking to point in hours instead of weeks. So we're really, really excited about that. We're working together to make sure we're making things easier for customers, making that journey to a hybrid cloud. Very, very simple. So we're really happy to offer that to customers. >> Right, Lee, any final words you can share on HPE partnership? >> Yeah. what I might say is that the pace of innovation from our companies is so great. That really VMware Cloud Foundation is a way in our joint effort and joint delivery, is a way for customers to assimilate all of this innovation. So that day zero, it's guaranteed to work And then day two, you can lifecycle manage all the individual components from a common SVC manager interface. That's the value that we're bringing together today. Is that, listen, putting all this in place can seem daunting until the VMware cloud Foundation, with Synergy with all of the joint value we have basically makes it manageable, so that you can go and basically stop looking down at infrastructure. Look up at the ass. >> All right, Krista, I'll let you have the final word and final takeaways from HPE Discover. >> Okay, sure, thanks. Together, what we're trying to do is simplify that journey to Hybrid Cloud, makes sure that customers can innovate faster, provide stable operations and reduce their costs. >> Well, Krista and Lee, thank you so much for joining us. Congratulations on the progress. Looking forward to watching down the road. >> All right, thank you Stu. >> Thank you Stu. >> All right, stay tuned for lots more coverage from "theCUBE", HPE Discover 2020 Virtual Experience. I'm Stu Miniman, thanks for watching. (cool music)